diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml new file mode 100644 index 0000000..d172e4c --- /dev/null +++ b/.github/workflows/pre-commit.yml @@ -0,0 +1,14 @@ +name: pre-commit +on: [pull_request, push] +jobs: + pre-commit: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v4 + with: + python-version: '3.11' + - name: Install pre-commit + run: python -m pip install --upgrade pre-commit + - name: Run pre-commit + run: pre-commit run --all-files diff --git a/.gitignore b/.gitignore index 5561303..b3b1fe9 100644 --- a/.gitignore +++ b/.gitignore @@ -427,4 +427,24 @@ transliteration* .venv* infra/target* .vscode* -junk/ \ No newline at end of file +junk/ +*.code-workspace + +# Machine learning artifacts and cache directories +mlruns/ +custom_data/ +output_model_dir/ +nemo_rnnt_da/ +training_console.log +cache* +.mypy_cache/ +.ruff_cache/ + +# Local dataset directories +apps/whisper_fine_tuning/data/ + +*.DS_Store + +data/ + +predictions_dir/ \ No newline at end of file diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..c1ea265 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,44 @@ +repos: + - repo: https://github.com/psf/black + rev: 24.10.0 + hooks: + - id: black + language_version: python3.11 # require Python 3.11 or newer + + - repo: https://github.com/charliermarsh/ruff-pre-commit + rev: v0.1.0 + hooks: + - id: ruff + args: [--fix, --extend-ignore, E402] # ruff will auto-fix many issues + additional_dependencies: [] + + - repo: https://github.com/pre-commit/mirrors-isort + rev: v5.10.1 + hooks: + - id: isort + args: ["--profile", "black"] + + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: end-of-file-fixer + - id: trailing-whitespace + - id: check-yaml + - id: check-added-large-files + + + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.6.1 # pick a valid tag you confirmed with git ls-remote + hooks: + - id: mypy + # keep commonly useful flags, then selectively disable error codes reported by mypy + args: + - --ignore-missing-imports + - --disable-error-code=import-untyped + - --disable-error-code=call-arg + - --disable-error-code=union-attr + - --disable-error-code=arg-type + - --disable-error-code=used-before-def + - --disable-error-code=attr-defined + files: \.py$ + language_version: python3.11 diff --git a/apps/whisper_fine_tuning/Makefile b/apps/whisper_fine_tuning/Makefile new file mode 100644 index 0000000..6ada71a --- /dev/null +++ b/apps/whisper_fine_tuning/Makefile @@ -0,0 +1,49 @@ +export HOME := $(HOME) +.ONESHELL: + +ifeq ($(OS),Windows_NT) + SHELL = cmd + CONDA_ACTIVATE = call %CONDA_PREFIX%\Scripts\activate.bat +else + SHELL = /bin/bash + CONDA_ACTIVATE = source $$(conda info --base)/etc/profile.d/conda.sh ; conda activate ; conda activate +endif + +setup_aml: + rm -rf ~/.pyenv + curl https://pyenv.run | bash + $(HOME)/.pyenv/bin/pyenv --version + $(HOME)/.pyenv/bin/pyenv install 3.12 --skip-existing + $(HOME)/.pyenv/bin/pyenv local 3.12 + python --version + conda create -n condav0 python=3.12 + $(CONDA_ACTIVATE) activate condav0 + conda install -c conda-forge poetry + poetry config virtualenvs.create true + poetry config virtualenvs.in-project true + poetry lock --no-update + poetry install + conda install pip + conda install -c conda-forge "ffmpeg>=5,<7" + sudo apt update && sudo apt install -y ffmpeg + python -m ipykernel install --user --name condav0 --display-name "condav0" + + +USERPROFILE := $(USERPROFILE) +CURRENT_DIR := $(shell cd) +setup_win: + if exist %USERPROFILE%\.pyenv rmdir /s /q %USERPROFILE%\.pyenv + git clone https://github.com/pyenv-win/pyenv-win.git "%USERPROFILE%\.pyenv" + $(USERPROFILE)\.pyenv\pyenv-win\bin\pyenv --version + $(USERPROFILE)\.pyenv\pyenv-win\bin\pyenv install 3.12 --skip-existing + $(USERPROFILE)\.pyenv\pyenv-win\bin\pyenv local 3.12 + python --version + python -m venv venv + echo $(CURRENT_DIR) + "$(CURRENT_DIR)/venv/Scripts/activate" + pip install poetry + poetry config virtualenvs.create true + poetry config virtualenvs.in-project true + poetry lock + poetry install + conda install pip diff --git a/apps/whisper_fine_tuning/README.md b/apps/whisper_fine_tuning/README.md new file mode 100644 index 0000000..fcfd62c --- /dev/null +++ b/apps/whisper_fine_tuning/README.md @@ -0,0 +1,111 @@ +# Whisper Fine-Tuning Pipeline + +This project provides an end-to-end workflow for preparing custom audio datasets, fine-tuning OpenAI’s Whisper models with LoRA/PEFT, and operationalizing the resulting checkpoints on Azure ML. + +## Highlights +- LoRA-based fine-tuning scripts that minimize GPU memory requirements. +- Data ingestion utilities that convert raw audio into Hugging Face `datasets` format. +- MLflow integration for experiment tracking and artifact storage. +- Azure ML job definitions for cloud-scale training and evaluation. + +## Project Layout +``` +apps/whisper_fine_tuning/ +├── deployment/ # Azure ML job specs and training entrypoints +├── docs/ # Diagrams and supporting documentation +├── infra/ # Infrastructure-as-code templates +├── notebooks/ # Exploratory analysis and inference notebooks +├── src/core/ # Data prep, training, and evaluation modules +└── data/ # Example datasets (raw/silver) – ignored in git +``` + +## Quick Start +1. **Install dependencies** + ```bash + poetry env use 3.12 + poetry install + ``` + Activate the environment with `poetry shell` or your preferred virtualenv tool. + +2. **Prepare raw audio** + ```bash + python src/core/data_prep/main_data_prep.py \ + --source_data_dir data/raw/audios/matis \ + --output_data_dir data/raw/training \ + --domain train + ``` + Repeat for `--domain evaluation` and `--domain test`. See `src/core/data_prep/README.md` for more options. + +3. **Generate silver dataset** + ```bash + python src/core/data_prep/main_silver_data_prep.py \ + --train_datasets data/raw/training \ + --eval_datasets data/raw/evaluation \ + --test_datasets data/raw/testing + ``` + +4. **Train Whisper with LoRA** + ```bash + python src/core/train/main_train.py \ + --model_name openai/whisper-large-v2 \ + --dataset data/silver/dataset \ + --language Matis \ + --output_dir output_model_dir \ + --apply_lora True + ``` + +## Running on Azure ML +Submit the packaged job using the provided YAML spec: +```bash +az ml job create --file deployment/training_job.yaml +``` +Customize compute, environment, and inputs inside the YAML before submission. + +## Evaluation & Inference +- Offline evaluation: `python src/core/evaluation/evaluation_process.py --eval_datasets data/raw/testing ...` +- NeMo experiments: `python src/core/train/main_train_nemo.py --dataset_path data/silver/dataset ...` +- Inference notebook: `notebooks/fine_tuned_usage.ipynb` + +## Key CLI Arguments +| Script | Argument | Description | +| --- | --- | --- | +| `main_data_prep.py` | `--source_data_dir` | Folder with `audio_paths` and `text` mappings | +| | `--domain` | `train`, `test`, `evaluation`, or `all` | +| `main_silver_data_prep.py` | `--train_datasets`/`--eval_datasets` | Hugging Face datasets produced by the raw prep stage | +| `main_train.py` | `--model_name` | Base Whisper checkpoint (default `openai/whisper-small`) | +| | `--apply_lora` | Enable/disable LoRA adapters | +| | `--experiment_name` | MLflow experiment name; auto-generated if omitted | + +Full option lists live in each script’s `--help` output. + +## MLflow & Logging +- Runs log configuration, metrics, and console output (see `training_console.log`). +- Checkpoints are written to `output_model_dir/` and can be registered with MLflow or uploaded to Azure. + +## Pre-Commit Hooks +``` +pip install pre-commit +pre-commit install +pre-commit run --all-files +``` +Hooks enforce formatting and linting before changes land in version control. + +## Troubleshooting +- Verify `environment.yml` or `pyproject.toml` dependencies are installed. +- Ensure datasets follow the expected directory structure (`data/raw/audios/...`). +- For Azure ML issues, confirm workspace credentials and compute targets. + +## Fine-Tuning Tips +| Parameter | Recommended | Why | +| --- | --- | --- | +| `per_device_train_batch_size` | 4–8 | Small datasets benefit from smaller batches | +| `num_train_epochs` | 10–30 | Compensate for limited data with more passes | +| `warmup_steps` | 50–100 | Faster ramp-up than large fixed counts | +| `eval_strategy` | `epoch` | Evaluate once per epoch to avoid noise | +| `save_strategy` | `epoch` | Align checkpointing with evaluation | +| `load_best_model_at_end` | `True` | Automatically keep the best-performing checkpoint | + +Additional guidance on data augmentation, freezing layers, early stopping, and MLflow logging is summarized in `src/core/train/README.md`. + +## License +Licensed under the MIT License. Contributions and issues are welcome. diff --git a/apps/whisper_fine_tuning/deployment/endpoint/inference.py b/apps/whisper_fine_tuning/deployment/endpoint/inference.py new file mode 100644 index 0000000..d502fcd --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/inference.py @@ -0,0 +1,70 @@ +import urllib.request +import json +from dotenv import load_dotenv +import os +import base64, json, os, pathlib, requests + + +# Request data goes here +# The example below assumes JSON formatting which may be updated +# depending on the format your endpoint expects. +# More information can be found here: +# https://docs.microsoft.com/azure/machine-learning/how-to-deploy-advanced-entry-script +load_dotenv() # Load environment variables from a .env file + +audio_path = pathlib.Path( + "/Users/karinaassiniandreatta/Documents/06 microsoft_codes/azuresamples/whisper-fine-tuning/src/core/create_data/matis/train_data/audio2.ogg" +) +audio_b64 = base64.b64encode(audio_path.read_bytes()).decode("utf-8") + +payload = { + "input_data": { + "columns": ["audio_base64"], + "index": [0], + "data": [[audio_b64]], + }, + "params": {}, +} +body = str.encode(json.dumps(payload)) + +url = os.getenv( + "SCORE_ENDPOINT", + "https://ml-sandbox-core-hdydq.eastus2.inference.ml.azure.com/score", +) +# Replace this with the primary/secondary key, AMLToken, or Microsoft Entra ID token for the endpoint +api_key = os.getenv("API_KEY") +if not api_key: + raise Exception("A key should be provided to invoke the endpoint") + + +headers = { + "Content-Type": "application/json", + "Accept": "application/json", + "Authorization": ("Bearer " + api_key), +} + +req = urllib.request.Request(url, body, headers) + +try: + response = urllib.request.urlopen(req) + raw_text = response.read().decode("utf-8") + payload = json.loads(raw_text) + + if isinstance(payload, str): + payload = json.loads(payload) + + if isinstance(payload, list) and payload: + for item in payload: + if isinstance(item, dict) and "transcription" in item: + print(item["transcription"]) + else: + print(item) + else: + print(payload) + +except urllib.error.HTTPError as error: + print("The request failed with status code: " + str(error.code)) + + # Print the headers - they include the requert ID and the timestamp, which are useful for debugging the failure + print(error.info()) + print(error.read().decode("utf8", "ignore")) diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/deploy.sh b/apps/whisper_fine_tuning/deployment/endpoint/terraform/deploy.sh new file mode 100755 index 0000000..3ef9975 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/deploy.sh @@ -0,0 +1,46 @@ +#!/usr/bin/env bash +set -euo pipefail + +# Check if terraform is installed; if not, install it +if ! command -v terraform &>/dev/null; then + echo "Terraform not found. Installing Terraform..." + TERRAFORM_VERSION="1.5.0" # Modify version as needed + TERRAFORM_ZIP="terraform_${TERRAFORM_VERSION}_linux_amd64.zip" + TEMP_DIR=$(mktemp -d) + wget "https://releases.hashicorp.com/terraform/${TERRAFORM_VERSION}/${TERRAFORM_ZIP}" -O "${TEMP_DIR}/${TERRAFORM_ZIP}" + unzip "${TEMP_DIR}/${TERRAFORM_ZIP}" -d "${TEMP_DIR}" + sudo mv "${TEMP_DIR}/terraform" /usr/local/bin/ + rm -rf "${TEMP_DIR}" + echo "Terraform installed successfully." +fi + +# Deploy wrapper: loads .env and exports TF_VAR_ variables for Terraform +# Usage: place a .env in this folder (or edit .env.sample), then run ./deploy.sh + +ENV_FILE=".env" +if [[ -f "$ENV_FILE" ]]; then + echo "Loading $ENV_FILE and exporting TF_VAR_* variables for Terraform" + while IFS='=' read -r raw_key raw_value || [[ -n "$raw_key" ]]; do + key="$raw_key" + value="$raw_value" + # skip comments and empty lines + [[ -z "${key// /}" ]] && continue + [[ "$key" =~ ^\s*# ]] && continue + # trim spaces + key=$(echo "$key" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//') + value=$(echo "$value" | sed 's/^[[:space:]]*//;s/[[:space:]]*$//') + # remove surrounding quotes if any + value=$(echo "$value" | sed 's/^"\(.*\)"$/\1/; s/^'\''\(.*\)'\''$/\1/') + # lowercase the key for TF_VAR convention + lc_key=$(echo "$key" | tr '[:upper:]' '[:lower:]') + export_var_name="TF_VAR_${lc_key}" + export ${export_var_name}="$value" + echo "Exported ${export_var_name}='${value}'" + done < "$ENV_FILE" +else + echo "No $ENV_FILE found. Create one or pass -var flags to terraform." +fi + +echo "Running terraform init && apply" +terraform init +terraform apply -auto-approve "$@" diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/infer_example.json b/apps/whisper_fine_tuning/deployment/endpoint/terraform/infer_example.json new file mode 100644 index 0000000..50ca202 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/infer_example.json @@ -0,0 +1,16 @@ +{ + "input_data": { + "columns": [ + "input" + ], + "index": [ + 0 + ], + "data": [ + [ + "https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3" + ] + ] + }, + "params": {} +} diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/main.tf b/apps/whisper_fine_tuning/deployment/endpoint/terraform/main.tf new file mode 100644 index 0000000..0491018 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/main.tf @@ -0,0 +1,138 @@ +variable "resource_group" { + description = "Azure resource group where the ML workspace resides" + type = string +} + +variable "workspace_name" { + description = "Azure ML workspace name" + type = string +} + +variable "location" { + description = "Azure region for the endpoint" + type = string + default = "eastus" +} + +variable "endpoint_name" { + description = "Name for the Azure ML online endpoint" + type = string +} + +variable "model_name" { + description = "Name of the model registered in MLflow (Azure ML)" + type = string +} + +variable "model_version" { + description = "Version of the model to deploy" + type = string + default = "1" +} + +variable "environment_name" { + description = "Azure ML environment name used to build the container" + type = string +} + +variable "deployment_name" { + description = "Name for the deployment (traffic target)" + type = string + default = "blue" +} + +variable "cpu_cores" { + type = number + default = 1 +} + +variable "memory_gb" { + type = number + default = 4 +} + +resource "null_resource" "create_endpoint" { + # Re-run the provisioner when any of these inputs change + triggers = { + endpoint = var.endpoint_name + deployment = var.deployment_name + model = "${var.model_name}:${var.model_version}" + environment = var.environment_name + resources = "${var.cpu_cores}-${var.memory_gb}" + } + + provisioner "local-exec" { + # Use set -ex so failures are shown and commands are printed for debugging + command = < /dev/null + +if az extension show -n azure-cli-ml >/dev/null 2>&1; then + echo "WARNING: extension 'azure-cli-ml' is installed alongside 'ml'. This can cause conflicts. Consider running: az extension remove -n azure-cli-ml" +fi + +# Create endpoint YAML and apply (create or update) +cat > /tmp/endpoint_${var.endpoint_name}.yml < /tmp/deployment_${var.deployment_name}.yml </dev/null 2>&1; then + echo "ERROR: Model '${var.model_name}' version '${var.model_version}' not found in workspace ${var.workspace_name} (RG ${var.resource_group})." + echo "Register the model or correct MODEL_NAME/MODEL_VERSION in your .env or TF variables." + exit 1 +fi + +# Validate environment exists (warn only) +# environment variable is emitted as azureml::; strip azureml: if present +env_ref="${var.environment_name}" +# Use portable parsing to split name:version +env_check_name=$(printf "%s" "$${env_ref}" | cut -d':' -f1) +env_check_version=$(printf "%s" "$${env_ref}" | cut -d':' -f2-) +if ! az ml environment show --name "$${env_check_name}" --version "$${env_check_version}" --resource-group ${var.resource_group} --workspace-name ${var.workspace_name} >/dev/null 2>&1; then + echo "WARNING: Environment '${var.environment_name}' not found as a registered environment in workspace ${var.workspace_name}." + echo "Ensure the environment is registered (azureml::) or use a valid environment reference." +fi + +az ml online-deployment create --file /tmp/deployment_${var.deployment_name}.yml --resource-group ${var.resource_group} --workspace-name ${var.workspace_name} || \ +az ml online-deployment update --file /tmp/deployment_${var.deployment_name}.yml --name ${var.deployment_name} --endpoint-name ${var.endpoint_name} --resource-group ${var.resource_group} --workspace-name ${var.workspace_name} + +echo "Deployment applied. You may need to adjust traffic or default deployment using the Azure CLI version you have installed." +EOT + } +} diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/outputs.tf b/apps/whisper_fine_tuning/deployment/endpoint/terraform/outputs.tf new file mode 100644 index 0000000..f08862f --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/outputs.tf @@ -0,0 +1,7 @@ +output "endpoint_name" { + value = var.endpoint_name +} + +output "deployment_name" { + value = var.deployment_name +} diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/requirements.txt b/apps/whisper_fine_tuning/deployment/endpoint/terraform/requirements.txt new file mode 100644 index 0000000..75e9a92 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/requirements.txt @@ -0,0 +1,8 @@ +fastapi +uvicorn[standard] +mlflow +pandas +requests +soundfile +numpy +python-multipart diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/score.py b/apps/whisper_fine_tuning/deployment/endpoint/terraform/score.py new file mode 100644 index 0000000..8b64add --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/score.py @@ -0,0 +1,82 @@ +import base64 +import json +import os +from pathlib import Path + +import mlflow +import torch + + +def init(): + global asr_pipeline, device, forced_decoder_ids + + model_dir = Path(os.getenv("AZUREML_MODEL_DIR", ".")) + model_uri = model_dir / "model" + if not model_uri.exists(): + raise FileNotFoundError(f"MLflow model directory not found at {model_uri}") + + asr_pipeline = mlflow.transformers.load_model(str(model_uri)) + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + try: + asr_pipeline.to(device) + except AttributeError: + if hasattr(asr_pipeline, "model"): + asr_pipeline.model.to(device) + asr_pipeline.model.eval() + + forced_decoder_ids = asr_pipeline.tokenizer.get_decoder_prompt_ids( + language="portuguese", + task="transcribe", + ) + + print("Whisper pipeline loaded via MLflow and ready.") + + +def run(raw_data): + try: + # Azure ML sends input_data as a DataFrame in split orientation + data = json.loads(raw_data) + # Support both DataFrame and record input + if "input_data" in data: + if isinstance(data["input_data"], dict) and "data" in data["input_data"]: + # DataFrame split orientation + audio_b64_list = [row[0] for row in data["input_data"]["data"]] + elif isinstance(data["input_data"], list): + # List of dicts + audio_b64_list = [row.get("audio_base64") for row in data["input_data"]] + else: + raise ValueError("Unsupported input_data format") + else: + raise ValueError("Missing input_data in request") + + results = [] + for audio_b64 in audio_b64_list: + if not audio_b64: + results.append({"error": "Empty audio_base64"}) + continue + audio_bytes = base64.b64decode(audio_b64) + # Convert bytes to numpy array (float32 PCM, 16kHz expected for Whisper) + import numpy as np + import io + import soundfile as sf + + audio_array, _ = sf.read(io.BytesIO(audio_bytes), dtype="float32") + generate_kwargs = { + "repetition_penalty": 1.2, + "no_repeat_ngram_size": 3, + "max_new_tokens": 128, + "do_sample": False, + "forced_decoder_ids": forced_decoder_ids, + } + pipeline_inputs = {"array": audio_array, "sampling_rate": 16000} + + transcription = asr_pipeline( + pipeline_inputs, + generate_kwargs=generate_kwargs, + batch_size=1, + )["text"] + results.append({"transcription": transcription}) + return json.dumps(results) + except Exception as e: + return json.dumps({"error": str(e)}) diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/terraform.tfstate b/apps/whisper_fine_tuning/deployment/endpoint/terraform/terraform.tfstate new file mode 100644 index 0000000..a51daa5 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/terraform.tfstate @@ -0,0 +1,43 @@ +{ + "version": 4, + "terraform_version": "1.13.1", + "serial": 4, + "lineage": "c55b2916-818a-288d-7bf3-7d2fce00f321", + "outputs": { + "deployment_name": { + "value": "blue", + "type": "string" + }, + "endpoint_name": { + "value": "whisper-edp-v2", + "type": "string" + } + }, + "resources": [ + { + "mode": "managed", + "type": "null_resource", + "name": "create_endpoint", + "provider": "provider[\"registry.terraform.io/hashicorp/null\"]", + "instances": [ + { + "status": "tainted", + "schema_version": 0, + "attributes": { + "id": "448760079048018103", + "triggers": { + "deployment": "blue", + "endpoint": "whisper-edp-v2", + "environment": "vllm:6", + "model": "whisper-fine-tuned:2", + "resources": "1-4" + } + }, + "sensitive_attributes": [], + "identity_schema_version": 0 + } + ] + } + ], + "check_results": null +} diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/terraform.tfstate.backup b/apps/whisper_fine_tuning/deployment/endpoint/terraform/terraform.tfstate.backup new file mode 100644 index 0000000..69376cf --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/terraform.tfstate.backup @@ -0,0 +1,43 @@ +{ + "version": 4, + "terraform_version": "1.13.1", + "serial": 1, + "lineage": "c55b2916-818a-288d-7bf3-7d2fce00f321", + "outputs": { + "deployment_name": { + "value": "blue", + "type": "string" + }, + "endpoint_name": { + "value": "whisper-edp-v2", + "type": "string" + } + }, + "resources": [ + { + "mode": "managed", + "type": "null_resource", + "name": "create_endpoint", + "provider": "provider[\"registry.terraform.io/hashicorp/null\"]", + "instances": [ + { + "status": "tainted", + "schema_version": 0, + "attributes": { + "id": "3922989188787705048", + "triggers": { + "deployment": "blue", + "endpoint": "whisper-edp-v2", + "environment": "vllm:6", + "model": "whisper-fine-tuned:2", + "resources": "1-4" + } + }, + "sensitive_attributes": [], + "identity_schema_version": 0 + } + ] + } + ], + "check_results": null +} diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/test_deploy.sh b/apps/whisper_fine_tuning/deployment/endpoint/terraform/test_deploy.sh new file mode 100755 index 0000000..a15c6e4 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/test_deploy.sh @@ -0,0 +1,143 @@ +#!/usr/bin/env bash +set -euo pipefail + +# test_deploy.sh +# Test an Azure ML managed online endpoint or a direct scoring URI by sending audio. +# +# Usage: +# ./test_deploy.sh --file path/to/example.wav [--endpoint-name NAME --resource-group RG --workspace-name WS] +# or set the env vars ENDPOINT_NAME, RESOURCE_GROUP, WORKSPACE_NAME +# or set SCORING_URI and the script will call it directly using AAD token fetched from az +# +# The script builds a JSON payload {"audio_base64": ""} and then calls +# - az ml online-endpoint invoke (preferred if az ml extension present) +# - otherwise falls back to curl against SCORING_URI with an AAD access token + +# ./test_deploy.sh --endpoint-name whisper-edp-v1 --file "/Users/karinaassiniandreatta/Documents/06 microsoft_codes/azuresamples/whisper-fine-tuning/src/core/create_data/test_data/audio31.opus" +#./test_deploy.sh --endpoint-name whisper-edp-v1 --resource-group KA-SAND-RG --workspace-name ml-sandbox-core --file "/Users/karinaassiniandreatta/Documents/06 microsoft_codes/azuresamples/whisper-fine-tuning/src/core/create_data/test_data/audio31.opus" + +usage() { + cat < [--endpoint-name NAME --resource-group RG --workspace-name WS] + +Options (any can be set via env): + --file PATH WAV file to send (required) + --endpoint-name NAME Azure ML endpoint name (optional) + --resource-group RG Resource group (optional) + --workspace-name WS Workspace name (optional) + --scoring-uri URI Direct scoring URI (optional, env SCORING_URI) + --request-file FILE Save generated request JSON to FILE (optional) + --help Show this help + +Examples: + ENDPOINT_NAME=my-endp RESOURCE_GROUP=my-rg WORKSPACE_NAME=my-ws ./test_deploy.sh --file sample.wav + SCORING_URI=https://.../score ./test_deploy.sh --file sample.wav +EOF +} + +AUDIO_FILE="" +ENDPOINT_NAME="${ENDPOINT_NAME:-}" +RESOURCE_GROUP="${RESOURCE_GROUP:-}" +WORKSPACE_NAME="${WORKSPACE_NAME:-}" +SCORING_URI="${SCORING_URI:-}" +REQUEST_FILE="" + +while [[ $# -gt 0 ]]; do + case "$1" in + --file) AUDIO_FILE="$2"; shift 2;; + --endpoint-name) ENDPOINT_NAME="$2"; shift 2;; + --resource-group) RESOURCE_GROUP="$2"; shift 2;; + --workspace-name) WORKSPACE_NAME="$2"; shift 2;; + --scoring-uri) SCORING_URI="$2"; shift 2;; + --request-file) REQUEST_FILE="$2"; shift 2;; + --help) usage; exit 0;; + *) echo "Unknown arg: $1"; usage; exit 1;; + esac +done + +if [[ -z "$AUDIO_FILE" ]]; then + echo "Error: --file is required" + usage + exit 2 +fi + +if [[ ! -f "$AUDIO_FILE" ]]; then + echo "Error: file not found: $AUDIO_FILE" + exit 3 +fi + +#TMPREQ=$(mktemp --suffix .json) +TMPREQ=$(mktemp /tmp/tmpreq.XXXXXX.json) +trap 'rm -f "$TMPREQ"' EXIT + +# base64 encode the audio (no line breaks) +if command -v base64 &>/dev/null; then + # macOS base64 does not support -w, so use input redirection and remove newlines + AUDIO_B64=$(base64 < "$AUDIO_FILE" | tr -d '\n') +else + # fallback to openssl if base64 is not available + AUDIO_B64=$(openssl base64 -A < "$AUDIO_FILE") +fi + +#jq -n '{input_data: {columns: ["input"], index: [0], data: [["/Users/karinaassiniandreatta/Documents/06 microsoft_codes/azuresamples/whisper-fine-tuning/src/core/create_data/test_data/audio31.opus"]]}, params: {}}' > "$TMPREQ" + +jq -n '{input_data: {columns: ["input"], index: [0], data: [["https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3"]]}, params: {}}' > "$TMPREQ" + +if [[ -n "$REQUEST_FILE" ]]; then + cp "$TMPREQ" "$REQUEST_FILE" + echo "Saved request JSON to $REQUEST_FILE" +fi + + +echo "Request JSON (full):" +cat "$TMPREQ" +echo + +echo +# Prefer az ml online-endpoint invoke if available +if command -v az &>/dev/null && az extension show -n ml &>/dev/null 2>&1; then + if [[ -n "$ENDPOINT_NAME" && -n "$RESOURCE_GROUP" && -n "$WORKSPACE_NAME" ]]; then + echo "Invoking endpoint via az ml online-endpoint invoke: $ENDPOINT_NAME" + az ml online-endpoint invoke --name "$ENDPOINT_NAME" --resource-group "$RESOURCE_GROUP" --workspace-name "$WORKSPACE_NAME" --request-file "$TMPREQ" || { + echo "az ml invoke failed" + exit 4 + } + exit 0 + else + echo "az ml extension present but endpoint/workspace args missing; skipping az ml invoke" + fi +fi + +# Fallback: require SCORING_URI +if [[ -z "$SCORING_URI" ]]; then + echo "SCORING_URI not provided and az ml invoke unavailable. Provide SCORING_URI env or set ENDPOINT_NAME/RESOURCE_GROUP/WORKSPACE_NAME for az invocation." + exit 5 +fi + +# Acquire access token for management resource +if ! command -v az &>/dev/null; then + echo "az CLI not found; cannot acquire AAD token for direct curl. Install az or use az ml invoke." >&2 + exit 6 +fi + +TOKEN=$(az account get-access-token --resource https://management.azure.com/ --query accessToken -o tsv) +if [[ -z "$TOKEN" ]]; then + echo "Failed to acquire access token via az" >&2 + exit 7 +fi + +echo "Calling SCORING_URI: $SCORING_URI" +HTTP_RESP=$(curl -sS -X POST "$SCORING_URI" \ + -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + --data-binary "@$TMPREQ") || true + +if [[ -z "$HTTP_RESP" ]]; then + echo "No response (empty)." + exit 8 +fi + +echo "Response:" +echo "$HTTP_RESP" | jq || echo "$HTTP_RESP" + +exit 0 diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/variables.tf b/apps/whisper_fine_tuning/deployment/endpoint/terraform/variables.tf new file mode 100644 index 0000000..def566b --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/variables.tf @@ -0,0 +1,9 @@ +// This file intentionally left as a usage hint only. +// Variable declarations live in `main.tf` for this lightweight wrapper. +// Example usage: +// terraform apply \ +// -var "resource_group=my-rg" \ +// -var "workspace_name=my-ws" \ +// -var "endpoint_name=my-endpoint" \ +// -var "model_name=my-model" \ +// -var "environment_name=my-env" diff --git a/apps/whisper_fine_tuning/deployment/endpoint/terraform/versions.tf b/apps/whisper_fine_tuning/deployment/endpoint/terraform/versions.tf new file mode 100644 index 0000000..8060c0f --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/endpoint/terraform/versions.tf @@ -0,0 +1,10 @@ +terraform { + required_version = ">= 1.1.0" + + required_providers { + null = { + source = "hashicorp/null" + version = ">= 3.0.0" + } + } +} diff --git a/apps/whisper_fine_tuning/deployment/env_endpoint/DockerFile b/apps/whisper_fine_tuning/deployment/env_endpoint/DockerFile new file mode 100644 index 0000000..248a741 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/env_endpoint/DockerFile @@ -0,0 +1,44 @@ +FROM vllm/vllm-openai:latest + +# Copy environment file (it lives in the same build context). Avoid copying parent paths. +# The environment build context configured in Azure ML should point to this folder so +# `environment.yml` is available at build time. +COPY conda.yml /tmp/conda.yml + +# Instalar Miniconda +RUN apt-get update && apt-get install -y wget bzip2 && \ + wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \ + bash miniconda.sh -b -p /opt/conda && \ + rm miniconda.sh && \ + /opt/conda/bin/conda clean -afy + + +# Colocar conda no PATH +ENV PATH=/opt/conda/bin:$PATH + +# Update the base conda environment using your environment file (optional). +# You can remove this step if the base image already includes required deps. + +RUN conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main && \ + conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r && \ + conda env update --file /tmp/conda.yml --name base && \ + conda clean -afy + + +# Install ffmpeg if the base image doesn't provide it +RUN conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main && \ + conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r && \ + conda install -c conda-forge "ffmpeg>=5,<7" -y && \ + conda clean -afy + +# MODEL_NAME can be provided as a build-arg (for build-time) or as a runtime env var. +# Avoid embedding secrets at build time. Prefer passing non-secret values at runtime. +ARG MODEL_NAME="" +# If AZUREML_MODEL_DIR is set by the platform at runtime, prefer combining at runtime. +ENV MODEL_NAME="${MODEL_NAME}" + +RUN echo "MODEL_NAME is $MODEL_NAME" + +# Entrypoint: the Azure ML runtime exposes AZUREML_MODEL_DIR at runtime when mounting model assets. +# We construct the effective model path at container start so the same image works locally and in AML. +CMD ["/bin/bash", "-lc", "MODEL_PATH=\"${AZUREML_MODEL_DIR:-}\${MODEL_NAME}\"; python3 -m vllm.entrypoints.openai.api_server --model \"$MODEL_PATH\" $VLLM_ARGS"] diff --git a/apps/whisper_fine_tuning/deployment/env_endpoint/conda.yml b/apps/whisper_fine_tuning/deployment/env_endpoint/conda.yml new file mode 100644 index 0000000..4fff3cc --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/env_endpoint/conda.yml @@ -0,0 +1,29 @@ +name: whisper-fine-tuning +channels: + - conda-forge + - defaults +dependencies: + - python=3.10 + - pip + - numpy + - pandas + - scikit-learn + - pytorch + - torchaudio + - ffmpeg + - pip: + - ffmpeg-python + - transformers + - datasets + - peft + - mlflow + - accelerate + - bitsandbytes + - soundfile + - huggingface_hub + - evaluate + - gradio + - sentencepiece + - protobuf + - typing-extensions + - torchcodec diff --git a/apps/whisper_fine_tuning/deployment/env_endpoint/docker-compose.yml b/apps/whisper_fine_tuning/deployment/env_endpoint/docker-compose.yml new file mode 100644 index 0000000..fcfeb43 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/env_endpoint/docker-compose.yml @@ -0,0 +1,10 @@ +services: + web: + build: + context: . + args: + - MODEL_NAME + env_file: + - .env + ports: + - "8080:8080" diff --git a/apps/whisper_fine_tuning/deployment/env_endpoint/environment.yml b/apps/whisper_fine_tuning/deployment/env_endpoint/environment.yml new file mode 100644 index 0000000..cc0d97f --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/env_endpoint/environment.yml @@ -0,0 +1,5 @@ +$schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json +name: vllm +build: + path: . + dockerfile_path: DockerFile diff --git a/apps/whisper_fine_tuning/deployment/register/README.md b/apps/whisper_fine_tuning/deployment/register/README.md new file mode 100644 index 0000000..3dd7aad --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/register/README.md @@ -0,0 +1,144 @@ +# Environment Setup + +Before proceeding, ensure you are logged in with the Azure CLI using `az login`. + +1. Set your Azure subscription: + ```bash + az account set --subscription "" + ``` + +2. Configure default workspace and resource group: + ```bash + az configure --defaults workspace="" group="" + ``` + +3. Create the Azure ML environment: + ```bash + az ml environment create -f deployment/env_endpoint/environment.yml + ``` + +4. Define your environment variables: + Create or update the `.env` file located in the `deployment/endpoint` directory with the required configuration values. + + +## Model Registration (`training/register_model.py`) + +After training, use this script to register the latest model from an experiment into MLflow Model Registry: + +```bash +# Register with auto-generated model name +python deployment/training/register_model.py \ + --experiment_name "whisper-gujarati-whisper-large-v2-lora-20251015" + +# Register with custom model name and set to Production +python deployment/training/register_model.py \ + --experiment_name "whisper-gujarati-whisper-large-v2-lora-20251015" \ + --model_name "whisper-gujarati-production" \ + --stage "Production" + +# Register both main model and PEFT adapter +python deployment/register/register_model.py --experiment_name "whisper-matis-v1" --model_name "whisper-matis-v1" --artifact_path model --also_register_adapter True +``` + +**What the registration script does:** +1. **Finds the latest run** from the specified MLflow experiment +2. **Registers the model** in MLflow Model Registry with versioning +3. **Sets model stage** (None, Staging, Production, Archived) +4. **Optionally registers PEFT adapters** as separate models +5. **Auto-generates model names** based on experiment name if not provided + +**Arguments:** +- `--experiment_name` (required): Name of the MLflow experiment +- `--model_name` (optional): Custom model name for registration +- `--artifact_path` (default: "model"): Path to model artifact in the run +- `--stage` (default: "Staging"): Model stage to set +- `--also_register_adapter`: Flag to also register the PEFT adapter + +**After registration, use the model:** +```python +import mlflow + +# Load registered model for inference +model_uri = "models:/whisper-gujarati-v1/1" # or /latest +pipe = mlflow.transformers.load_model(model_uri) +result = pipe("path/to/audio.wav") +print(result["text"]) +``` + + +# Terraform wrapper for Azure ML online endpoint + +This folder contains a lightweight Terraform wrapper and helper script to create or update an Azure Machine Learning Online Endpoint and a deployment that points to a model registered in the workspace (MLflow). It uses the Azure CLI `az ml` commands via a `null_resource` local-exec. + +Prerequisites +- Install Terraform (>= 1.1.0) +- Install Azure CLI and login: `az login` +- Install the Azure ML extension: `az extension add -n ml` +- Ensure the target Azure ML workspace, resource group, and model (registered via MLflow / Azure ML) exist + +Files in this folder +- `main.tf`, `variables.tf`, `outputs.tf`, `versions.tf` - Terraform files +- `deploy.sh` - helper script that reads `.env`, exports `TF_VAR_*` variables (lowercased keys) and runs `terraform init && terraform apply` +- `.env.sample` - example variables for local testing + +Quick local test (recommended) + +1. Copy the sample .env and edit: + +```bash +cp .env.sample .env +# edit .env and set RESOURCE_GROUP, WORKSPACE_NAME, ENDPOINT_NAME, MODEL_NAME, ENVIRONMENT_NAME, etc. +``` + +2. Make the wrapper executable and run it: + +```bash +chmod +x deploy.sh +./deploy.sh +``` + +The script will load `.env`, export `TF_VAR_*` variables, then run `terraform init` and `terraform apply -auto-approve`. + +Direct Terraform usage + +You can also run Terraform directly and pass variables from `.env` by converting to `terraform.tfvars` or exporting `TF_VAR_` variables. + +- Convert `.env` to `terraform.tfvars` (simple): + +```bash +sed -E 's/^([A-Za-z0-9_]+)=(.*)$/\L\1\E = "\2"/' .env > terraform.tfvars +terraform init +terraform apply -auto-approve +``` + +- Or export TF_VAR_ variables (example): + +```bash +export TF_VAR_resource_group="my-rg" +export TF_VAR_workspace_name="my-ws" +export TF_VAR_endpoint_name="my-endpoint" +export TF_VAR_model_name="my-model" +export TF_VAR_environment_name="my-env" +terraform init +terraform apply -auto-approve +``` + +Notes and recommendations +- Do not commit `.env` to source control. Add `.env` to your `.gitignore`. +- The generated deployment YAML in `main.tf` is minimal. Update `main.tf` or replace the YAML generation if you need probes, autoscale, or advanced settings. +- This approach uses `az ml` CLI; for production, consider CI/CD pipelines that inject secrets securely or use ARM/Bicep templates. + +If you want, I can: +- Add `.env` to the repository `.gitignore` for you +- Expand the generated deployment YAML to include autoscale, probes, or scaling rules +- Convert this flow to an ARM/Bicep template or a GitHub Actions workflow + + +### Endpoint test with test_deploy.sh + +az extension update -n ml + +example + +az ml online-deployment get-logs -g KA-SAND-RG -w ml-sandbox-core -e whisper-edp-v1 -n whisper-fine-tuned-3 -l 100 + diff --git a/apps/whisper_fine_tuning/deployment/register/register_model.py b/apps/whisper_fine_tuning/deployment/register/register_model.py new file mode 100644 index 0000000..764915a --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/register/register_model.py @@ -0,0 +1,210 @@ +import os +import sys +import argparse +import logging +from datetime import datetime + +import mlflow +from mlflow.tracking import MlflowClient + +# Fix the path to point to the repository root where 'src' directory is located +repo_root = os.path.join(os.path.dirname(__file__), "..", "..") +sys.path.insert(0, repo_root) + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def get_latest_run_from_experiment(experiment_name: str) -> str: + """ + Get the latest run ID from the specified experiment. + + Args: + experiment_name: Name of the MLflow experiment + + Returns: + run_id: The ID of the latest run + """ + client = MlflowClient() + + try: + experiment = client.get_experiment_by_name(experiment_name) + if experiment is None: + raise ValueError(f"Experiment '{experiment_name}' not found") + + experiment_id = experiment.experiment_id + + # Get runs from experiment, sorted by start time (latest first) + runs = client.search_runs( + experiment_ids=[experiment_id], order_by=["start_time DESC"], max_results=1 + ) + + if not runs: + raise ValueError(f"No runs found in experiment '{experiment_name}'") + + latest_run = runs[0] + logger.info(f"Found latest run: {latest_run.info.run_id}") + logger.info(f"Run status: {latest_run.info.status}") + logger.info( + f"Run start time: {datetime.fromtimestamp(latest_run.info.start_time / 1000)}" + ) + + return latest_run.info.run_id + + except Exception as e: + logger.error(f"Error getting latest run: {e}") + raise + + +def register_model(run_id: str, model_name: str, artifact_path: str = "model") -> str: + """ + Register a model from the specified run. + + Args: + run_id: MLflow run ID containing the model + model_name: Name to register the model under + artifact_path: Path to the model artifact in the run + + Returns: + model_version: The version number of the registered model + """ + client = MlflowClient() + + try: + # Construct the model URI + model_uri = f"runs:/{run_id}/{artifact_path}" + + # Register the model + model_version = mlflow.register_model(model_uri=model_uri, name=model_name) + + logger.info(f"Model registered successfully!") + logger.info(f"Model name: {model_name}") + logger.info(f"Model version: {model_version.version}") + logger.info(f"Model URI: {model_uri}") + + return model_version.version + + except Exception as e: + logger.error(f"Error registering model: {e}") + raise + + +def set_model_stage(model_name: str, version: str, stage: str = "Staging"): + """ + Set the stage for a model version. + + Args: + model_name: Name of the registered model + version: Version number of the model + stage: Stage to set (None, Staging, Production, Archived) + """ + client = MlflowClient() + + try: + client.transition_model_version_stage( + name=model_name, version=version, stage=stage + ) + + logger.info(f"Model {model_name} version {version} moved to {stage} stage") + + except Exception as e: + logger.error(f"Error setting model stage: {e}") + raise + + +def main(): + parser = argparse.ArgumentParser( + description="Register the latest model from an MLflow experiment" + ) + + parser.add_argument( + "--experiment_name", + type=str, + required=True, + help="Name of the MLflow experiment to get the latest run from", + ) + + parser.add_argument( + "--model_name", + type=str, + default=None, + help="Name to register the model under. If not provided, will be auto-generated from experiment name", + ) + + parser.add_argument( + "--artifact_path", + type=str, + default="model", + help="Path to the model artifact in the run (default: 'model')", + ) + + parser.add_argument( + "--stage", + type=str, + default="Staging", + choices=["None", "Staging", "Production", "Archived"], + help="Stage to set for the registered model (default: 'Staging')", + ) + + parser.add_argument( + "--also_register_adapter", + action="store_true", + help="Also register the PEFT adapter if available", + ) + + args = parser.parse_args() + + # Generate model name if not provided + if args.model_name is None: + # Extract a clean model name from experiment name + # e.g., "whisper-gujarati-whisper-large-v2-lora-20251015" -> "whisper-gujarati-large-v2" + experiment_parts = args.experiment_name.split("-") + if len(experiment_parts) >= 4: + args.model_name = f"whisper-{experiment_parts[1]}-{experiment_parts[3]}-{experiment_parts[4]}" + else: + args.model_name = args.experiment_name.replace("-", "_") + + logger.info(f"Auto-generated model name: {args.model_name}") + + try: + # Get the latest run from the experiment + logger.info(f"Getting latest run from experiment: {args.experiment_name}") + run_id = get_latest_run_from_experiment(args.experiment_name) + + # Register the main model + logger.info(f"Registering model: {args.model_name}") + version = register_model(run_id, args.model_name, args.artifact_path) + + # Set the stage + if args.stage != "None": + logger.info(f"Setting model stage to: {args.stage}") + set_model_stage(args.model_name, version, args.stage) + + # Also register adapter if requested + if args.also_register_adapter: + try: + adapter_model_name = f"{args.model_name}-adapter" + logger.info(f"Registering adapter model: {adapter_model_name}") + adapter_version = register_model( + run_id, adapter_model_name, "adapter_peft" + ) + + if args.stage != "None": + set_model_stage(adapter_model_name, adapter_version, args.stage) + + except Exception as e: + logger.warning(f"Could not register adapter model: {e}") + + logger.info("Model registration completed successfully!") + logger.info( + f"You can now use the model with: mlflow.transformers.load_model('models:/{args.model_name}/{version}')" + ) + + except Exception as e: + logger.error(f"Model registration failed: {e}") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/apps/whisper_fine_tuning/deployment/training/environment.yml b/apps/whisper_fine_tuning/deployment/training/environment.yml new file mode 100644 index 0000000..4fff3cc --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/training/environment.yml @@ -0,0 +1,29 @@ +name: whisper-fine-tuning +channels: + - conda-forge + - defaults +dependencies: + - python=3.10 + - pip + - numpy + - pandas + - scikit-learn + - pytorch + - torchaudio + - ffmpeg + - pip: + - ffmpeg-python + - transformers + - datasets + - peft + - mlflow + - accelerate + - bitsandbytes + - soundfile + - huggingface_hub + - evaluate + - gradio + - sentencepiece + - protobuf + - typing-extensions + - torchcodec diff --git a/apps/whisper_fine_tuning/deployment/training/training_job.yaml b/apps/whisper_fine_tuning/deployment/training/training_job.yaml new file mode 100644 index 0000000..fa22132 --- /dev/null +++ b/apps/whisper_fine_tuning/deployment/training/training_job.yaml @@ -0,0 +1,16 @@ +$schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json +command: > + python deployment/job_train.py --dataset ./data/dataset_silver +code: ../src/core +environment: azureml:whisper-fine-tuning:1 +#compute: azureml:xxA100 +display_name: whisper-fine-tuning-job +description: Fine-tune Whisper model using job.py +experiment_name: whisper-fine-tuning-exp +resources: + instance_type: Standard_NC24ads_A100_v4 + instance_count: 1 +outputs: + output_dir: + mode: rw_mount + path: azureml://datastores/workspaceblobstore/paths/whisper-fine-tuning-output/§ diff --git a/apps/whisper_fine_tuning/docs/img/azure_logo.png b/apps/whisper_fine_tuning/docs/img/azure_logo.png new file mode 100644 index 0000000..7c75031 Binary files /dev/null and b/apps/whisper_fine_tuning/docs/img/azure_logo.png differ diff --git a/apps/whisper_fine_tuning/docs/img/azure_workspace.png b/apps/whisper_fine_tuning/docs/img/azure_workspace.png new file mode 100644 index 0000000..980634b Binary files /dev/null and b/apps/whisper_fine_tuning/docs/img/azure_workspace.png differ diff --git a/apps/whisper_fine_tuning/docs/img/image.png b/apps/whisper_fine_tuning/docs/img/image.png new file mode 100644 index 0000000..37e5a7f Binary files /dev/null and b/apps/whisper_fine_tuning/docs/img/image.png differ diff --git a/apps/whisper_fine_tuning/docs/img/job.png b/apps/whisper_fine_tuning/docs/img/job.png new file mode 100644 index 0000000..8f7ca22 Binary files /dev/null and b/apps/whisper_fine_tuning/docs/img/job.png differ diff --git a/apps/whisper_fine_tuning/docs/img/output.png b/apps/whisper_fine_tuning/docs/img/output.png new file mode 100644 index 0000000..963600b Binary files /dev/null and b/apps/whisper_fine_tuning/docs/img/output.png differ diff --git a/apps/whisper_fine_tuning/infra/abbreviations.json b/apps/whisper_fine_tuning/infra/abbreviations.json new file mode 100644 index 0000000..a9efa92 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/abbreviations.json @@ -0,0 +1,145 @@ +{ + "analysisServicesServers": "as", + "apiManagementService": "apim-", + "appConfigurationConfigurationStores": "appcs-", + "appManagedEnvironments": "cae-", + "appContainerApps": "ca-", + "authorizationPolicyDefinitions": "policy-", + "automationAutomationAccounts": "aa-", + "blueprintBlueprints": "bp-", + "blueprintBlueprintsArtifacts": "bpa-", + "cacheRedis": "redis-", + "cdnProfiles": "cdnp-", + "cdnProfilesEndpoints": "cdne-", + "cognitiveServicesAccounts": "cog-", + "cognitiveServicesAIhub": "cog-aihub", + "cognitiveServicesAIproject": "cog-aiproject", + "cognitiveServicesComputerVision": "cog-cv-", + "cognitiveServicesDocumentIntelligence": "cog-di-", + "cognitiveServicesFormRecognizer": "cog-fr-", + "cognitiveServicesSpeech": "cog-sp-", + "cognitiveServicesTextAnalytics": "cog-ta-", + "computeAvailabilitySets": "avail-", + "computeCloudServices": "cld-", + "computeDiskEncryptionSets": "des", + "computeDisks": "disk", + "computeDisksOs": "osdisk", + "computeGalleries": "gal", + "computeSnapshots": "snap-", + "computeVirtualMachines": "vm", + "computeVirtualMachineScaleSets": "vmss-", + "containerInstanceContainerGroups": "ci", + "containerRegistryRegistries": "cr", + "containerServiceManagedClusters": "aks-", + "databricksWorkspaces": "dbw-", + "dataFactoryFactories": "adf-", + "dataLakeAnalyticsAccounts": "dla", + "dataLakeStoreAccounts": "dls", + "dataMigrationServices": "dms-", + "dBforMySQLServers": "mysql-", + "dBforPostgreSQLServers": "psql-", + "devicesIotHubs": "iot-", + "devicesProvisioningServices": "provs-", + "devicesProvisioningServicesCertificates": "pcert-", + "documentDBDatabaseAccounts": "cosmos-", + "eventGridDomains": "evgd-", + "eventGridDomainsTopics": "evgt-", + "eventGridEventSubscriptions": "evgs-", + "eventHubNamespaces": "evhns-", + "eventHubNamespacesEventHubs": "evh-", + "hdInsightClustersHadoop": "hadoop-", + "hdInsightClustersHbase": "hbase-", + "hdInsightClustersKafka": "kafka-", + "hdInsightClustersMl": "mls-", + "hdInsightClustersSpark": "spark-", + "hdInsightClustersStorm": "storm-", + "hybridComputeMachines": "arcs-", + "insightsActionGroups": "ag-", + "insightsComponents": "appi-", + "keyVaultVaults": "kv-", + "kubernetesConnectedClusters": "arck", + "kustoClusters": "dec", + "kustoClustersDatabases": "dedb", + "logicIntegrationAccounts": "ia-", + "logicWorkflows": "logic-", + "machineLearningServicesWorkspaces": "mlw-", + "machineLearningAccounts": "mld-", + "managedIdentityUserAssignedIdentities": "id-", + "managementManagementGroups": "mg-", + "migrateAssessmentProjects": "migr-", + "networkApplicationGateways": "agw-", + "networkApplicationSecurityGroups": "asg-", + "networkAzureFirewalls": "afw-", + "networkBastionHosts": "bas-", + "networkConnections": "con-", + "networkDnsZones": "dnsz-", + "networkExpressRouteCircuits": "erc-", + "networkFirewallPolicies": "afwp-", + "networkFirewallPoliciesWebApplication": "waf", + "networkFirewallPoliciesRuleGroups": "wafrg", + "networkFrontDoors": "fd-", + "networkFrontdoorWebApplicationFirewallPolicies": "fdfp-", + "networkLoadBalancersExternal": "lbe-", + "networkLoadBalancersInternal": "lbi-", + "networkLoadBalancersInboundNatRules": "rule-", + "networkLocalNetworkGateways": "lgw-", + "networkNatGateways": "ng-", + "networkNetworkInterfaces": "nic-", + "networkNetworkSecurityGroups": "nsg-", + "networkNetworkSecurityGroupsSecurityRules": "nsgsr-", + "networkNetworkWatchers": "nw-", + "networkPrivateDnsZones": "pdnsz-", + "networkPrivateLinkServices": "pl-", + "networkPublicIPAddresses": "pip-", + "networkPublicIPPrefixes": "ippre-", + "networkRouteFilters": "rf-", + "networkRouteTables": "rt-", + "networkRouteTablesRoutes": "udr-", + "networkTrafficManagerProfiles": "traf-", + "networkVirtualNetworkGateways": "vgw-", + "networkVirtualNetworks": "vnet-", + "networkVirtualNetworksSubnets": "snet-", + "networkVirtualNetworksVirtualNetworkPeerings": "peer-", + "networkVirtualWans": "vwan-", + "networkVpnGateways": "vpng-", + "networkVpnGatewaysVpnConnections": "vcn-", + "networkVpnGatewaysVpnSites": "vst-", + "notificationHubsNamespaces": "ntfns-", + "notificationHubsNamespacesNotificationHubs": "ntf-", + "operationalInsightsWorkspaces": "log-", + "portalDashboards": "dash-", + "powerBIDedicatedCapacities": "pbi-", + "privateEndpoint": "pe-", + "privateLink": "pl-", + "purviewAccounts": "pview-", + "recoveryServicesVaults": "rsv-", + "resourcesResourceGroups": "rg-", + "searchSearchServices": "srch-", + "serviceBusNamespaces": "sb-", + "serviceBusNamespacesQueues": "sbq-", + "serviceBusNamespacesTopics": "sbt-", + "serviceEndPointPolicies": "se-", + "serviceFabricClusters": "sf-", + "signalRServiceSignalR": "sigr", + "sqlManagedInstances": "sqlmi-", + "sqlServers": "sql-", + "sqlServersDataWarehouse": "sqldw-", + "sqlServersDatabases": "sqldb-", + "sqlServersDatabasesStretch": "sqlstrdb-", + "storageStorageAccounts": "st", + "storageStorageAccountsVm": "stvm", + "storSimpleManagers": "ssimp", + "streamAnalyticsCluster": "asa-", + "synapseWorkspaces": "syn", + "synapseWorkspacesAnalyticsWorkspaces": "synw", + "synapseWorkspacesSqlPoolsDedicated": "syndp", + "synapseWorkspacesSqlPoolsSpark": "synsp", + "timeSeriesInsightsEnvironments": "tsi-", + "virtualNetworks": "vnet-", + "webServerFarms": "plan-", + "webSitesAppService": "app-", + "webSitesContainerApps": "capps-", + "webSitesAppServiceEnvironment": "ase-", + "webSitesFunctions": "func-", + "webStaticSites": "stapp-" +} diff --git a/apps/whisper_fine_tuning/infra/main.bicep b/apps/whisper_fine_tuning/infra/main.bicep new file mode 100644 index 0000000..3a8a892 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/main.bicep @@ -0,0 +1,99 @@ + +targetScope = 'subscription' + +@minLength(1) +@maxLength(64) +@description('Name of the the environment which is used to generate a short unique hash used in all resources.') +param environmentName string + +@minLength(1) +@description('Primary location for all resources') +@allowed(['eastus', 'westus2']) +@metadata({ + azd: { + type: 'location' + } +}) +param location string = 'eastus' + +@description('Name of the resource group') +param resourceGroupName string = '' + +@description('Name for the AI resource and used to derive name of dependent resources.') +param workspacename string = 'waf-ml' + +@description('Name of the Azure AI Services account') +param aiServicesName string = 'moduleaiservices' + +@description('The AI Service Account full ARM Resource ID. This is an optional field, and if not provided, the resource will be created.') +param aiServiceAccountResourceId string = '' + +@description('The Ai Storage Account full ARM Resource ID. This is an optional field, and if not provided, the resource will be created.') +param aiStorageAccountResourceId string = '' + +param timestamp string = utcNow() + +@description('The principal ID of the user or service principal that will be assigned the role.') +param principalId string + + +// Variables +var abbrs = loadJsonContent('./abbreviations.json') +var resourceToken = toLower(uniqueString(subscription().id, environmentName, location, timestamp)) +var tags = { 'azd-env-name': environmentName } +var name = toLower('${workspacename}') + +resource resourceGroup 'Microsoft.Resources/resourceGroups@2022-09-01' = { + name: '${abbrs.resourcesResourceGroups}${environmentName}' + location: location + tags: tags +} + +// Dependent resources for the Azure Machine Learning workspace +module aiDependencies './module/standard-dependent-resources.bicep' = { + name: '${abbrs.machineLearningAccounts}${resourceToken}' + scope: resourceGroup + params: { + location: location + storageName: 'st${resourceToken}' + keyvaultName: 'kv${name}${resourceToken}' + aiServicesName: '${aiServicesName}${resourceToken}' + resourceToken: resourceToken + tags: tags + aiServiceAccountResourceId: aiServiceAccountResourceId + aiStorageAccountResourceId: aiStorageAccountResourceId + } +} + +module aiHub './module/standard-ml-workspace.bicep' = { + name: '${abbrs.machineLearningServicesWorkspaces}${resourceToken}' + scope: resourceGroup + params: { + workspaceName: '${workspacename}${resourceToken}' + location: location + // tags: tags + keyVaultId: aiDependencies.outputs.keyvaultId + storageAccountId: aiDependencies.outputs.storageId + containerRegistryId: aiDependencies.outputs.containerRegistryId + applicationInsightId: aiDependencies.outputs.applicationInsightsId + + } +} + + + +module aiServiceRoleAssignments './module/ai-service-role-assignments.bicep' = { + name: 'aiserviceroleassignments${workspacename}${resourceToken}deployment' + scope: resourceGroup + params: { + storageAccountName: aiDependencies.outputs.storageAccountName + principalId: principalId + } +} + +// App outputs +output AZURE_LOCATION string = location +output AZURE_TENANT_ID string = tenant().tenantId +output RESOURCE_GROUP string = resourceGroupName +output SUBSCRIPTION_ID string = subscription().subscriptionId +output WORKSPACE_NAME string = '${workspacename}${resourceToken}' diff --git a/apps/whisper_fine_tuning/infra/main.bicepparam b/apps/whisper_fine_tuning/infra/main.bicepparam new file mode 100644 index 0000000..7fe75f2 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/main.bicepparam @@ -0,0 +1,6 @@ +using './main.bicep' + +// You can use readEnvironmentVariable to load values from your environment + +param environmentName = readEnvironmentVariable('AZURE_ENV_NAME', 'environmentName') +param principalId = readEnvironmentVariable('AZURE_PRINCIPAL_ID', 'principalId') diff --git a/apps/whisper_fine_tuning/infra/module/ai-service-role-assignments.bicep b/apps/whisper_fine_tuning/infra/module/ai-service-role-assignments.bicep new file mode 100644 index 0000000..c2424ce --- /dev/null +++ b/apps/whisper_fine_tuning/infra/module/ai-service-role-assignments.bicep @@ -0,0 +1,41 @@ +// Assigns the necessary roles to the AI project + + +param storageAccountName string +param principalId string + + +resource storageAccount 'Microsoft.Storage/storageAccounts@2022-09-01' existing = { + name: storageAccountName + scope: resourceGroup() +} + +resource storageDataBlobReader 'Microsoft.Authorization/roleDefinitions@2022-04-01' existing = { + name: '2a2b9908-6ea1-4ae2-8e65-a410df84e7d1' + scope: resourceGroup() +} + +resource storageDataBlobReaderAssignment 'Microsoft.Authorization/roleAssignments@2022-04-01' = { + scope: storageAccount + name: guid(storageAccount.id, storageDataBlobReader.id, principalId) + properties: { + principalId: principalId + roleDefinitionId: storageDataBlobReader.id + principalType: 'User' + } +} + +resource storageBlobDataContributor 'Microsoft.Authorization/roleDefinitions@2022-04-01' existing = { + name: 'ba92f5b4-2d11-453d-a403-e96b0029c9fe' + scope: resourceGroup() +} + +resource storageBlobDataContributorAssignment 'Microsoft.Authorization/roleAssignments@2022-04-01' = { + scope: storageAccount + name: guid(storageAccount.id, storageBlobDataContributor.id, principalId) + properties: { + principalId: principalId + roleDefinitionId: storageBlobDataContributor.id + principalType: 'User' + } +} diff --git a/apps/whisper_fine_tuning/infra/module/standard-dependent-resources.bicep b/apps/whisper_fine_tuning/infra/module/standard-dependent-resources.bicep new file mode 100644 index 0000000..8c1244b --- /dev/null +++ b/apps/whisper_fine_tuning/infra/module/standard-dependent-resources.bicep @@ -0,0 +1,133 @@ +// Creates Azure dependent resources for Azure AI studio + +@description('Azure region of the deployment') +param location string = resourceGroup().location + +@description('Tags to add to the resources') +param tags object = {} + +@description('AI services name') +param aiServicesName string + +@description('The name of the Key Vault') +param keyvaultName string + +@description('Name of the storage account') +param storageName string + +@description('The AI Service Account full ARM Resource ID. This is an optional field, and if not provided, the resource will be created.') +param aiServiceAccountResourceId string + +@description('The AI Storage Account full ARM Resource ID. This is an optional field, and if not provided, the resource will be created.') +param aiStorageAccountResourceId string + +@description('Unique token for the resource name') +param resourceToken string + +@description('Name of the Azure Container Registry') +param containerRegistryName string = '${resourceToken}acr' + +@description('Application Insights resource name') +param applicationInsightsName string = '${resourceToken}ai' + + +var aiServiceExists = aiServiceAccountResourceId != '' +var aiStorageExists = aiStorageAccountResourceId != '' + +resource keyVault 'Microsoft.KeyVault/vaults@2022-07-01' = { + name: keyvaultName + location: location + tags: tags + properties: { + createMode: 'default' + enabledForDeployment: false + enabledForDiskEncryption: false + enabledForTemplateDeployment: false + enableSoftDelete: true + enableRbacAuthorization: true + enablePurgeProtection: true + networkAcls: { + bypass: 'AzureServices' + defaultAction: 'Deny' + } + sku: { + family: 'A' + name: 'standard' + } + softDeleteRetentionInDays: 7 + tenantId: subscription().tenantId + } +} + + +var aiServiceParts = split(aiServiceAccountResourceId, '/') + +resource existingAIServiceAccount 'Microsoft.CognitiveServices/accounts@2023-05-01' existing = if (aiServiceExists) { + name: aiServiceParts[8] + scope: resourceGroup(aiServiceParts[2], aiServiceParts[4]) +} + +var aiStorageParts = split(aiStorageAccountResourceId, '/') + +resource existingAIStorageAccount 'Microsoft.Storage/storageAccounts@2023-05-01' existing = if (aiStorageExists) { + name: aiStorageParts[8] + scope: resourceGroup(aiStorageParts[2], aiStorageParts[4]) +} + +param sku string = 'Standard_LRS' + +resource storage 'Microsoft.Storage/storageAccounts@2022-05-01' = if(!aiStorageExists) { + name: storageName + location: location + kind: 'StorageV2' + sku: { + name: sku + } + properties: { + minimumTlsVersion: 'TLS1_2' + allowBlobPublicAccess: false + publicNetworkAccess: 'Enabled' + networkAcls: { + bypass: 'AzureServices' + defaultAction: 'Allow' + virtualNetworkRules: [] + } + allowSharedKeyAccess: false + } +} + + + +resource applicationInsight 'Microsoft.Insights/components@2020-02-02' = { + name: applicationInsightsName + location: location + kind: 'web' + properties: { + Application_Type: 'web' + } +} + +resource registry 'Microsoft.ContainerRegistry/registries@2022-02-01-preview' = { + sku: { + name: 'Standard' + } + name: containerRegistryName + location: location + properties: { + adminUserEnabled: false + } +} + +output aiServicesName string = aiServiceExists ? existingAIServiceAccount.name : aiServicesName +output aiServiceAccountResourceGroupName string = aiServiceExists ? aiServiceParts[4] : resourceGroup().name +output aiServiceAccountSubscriptionId string = aiServiceExists ? aiServiceParts[2] : subscription().subscriptionId + +output storageAccountName string = aiStorageExists ? existingAIStorageAccount.name : storage.name +output storageId string = aiStorageExists ? existingAIStorageAccount.id : storage.id +output storageAccountResourceGroupName string = aiStorageExists ? aiStorageParts[4] : resourceGroup().name +output storageAccountSubscriptionId string = aiStorageExists ? aiStorageParts[2] : subscription().subscriptionId + +output keyvaultId string = keyVault.id + +output containerRegistryId string = registry.id +output applicationInsightsId string = applicationInsight.id diff --git a/apps/whisper_fine_tuning/infra/module/standard-ml-workspace.bicep b/apps/whisper_fine_tuning/infra/module/standard-ml-workspace.bicep new file mode 100644 index 0000000..7e674ae --- /dev/null +++ b/apps/whisper_fine_tuning/infra/module/standard-ml-workspace.bicep @@ -0,0 +1,39 @@ +@description('Azure region of the deployment') +param location string + +@description('Name of the Azure ML workspace') +param workspaceName string + +@description('Workspace description') +param workspaceDescription string = 'Azure Machine Learning Workspace' + +@description('Resource ID of the key vault resource for storing connection strings') +param keyVaultId string + +@description('Resource ID of the storage account resource for storing experimentation outputs') +param storageAccountId string + +@description('Resource ID of the application insights resource for monitoring and logging') +param applicationInsightId string + +@description('Resource ID of the container registry resource for storing images') +param containerRegistryId string + +resource workspace 'Microsoft.MachineLearningServices/workspaces@2022-10-01' = { + identity: { + type: 'SystemAssigned' + } + name: workspaceName + location: location + properties: { + friendlyName: workspaceName + storageAccount: storageAccountId + keyVault: keyVaultId + description: workspaceDescription + applicationInsights: applicationInsightId + containerRegistry: containerRegistryId + + } +} + +output amlWorkspaceId string = workspace.id diff --git a/apps/whisper_fine_tuning/infra/scripts/load_python_env.ps1 b/apps/whisper_fine_tuning/infra/scripts/load_python_env.ps1 new file mode 100644 index 0000000..ecb2658 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/scripts/load_python_env.ps1 @@ -0,0 +1,5 @@ +Write-Host 'Creating Python virtual environment ".venv"...' +python3.11 -m venv .venv + +Write-Host 'Installing dependencies from "requirements.txt" into virtual environment (in quiet mode)...' +.\.venv\Scripts\python.exe -m pip --quiet --disable-pip-version-check install -r requirements.txt diff --git a/apps/whisper_fine_tuning/infra/scripts/load_python_env.sh b/apps/whisper_fine_tuning/infra/scripts/load_python_env.sh new file mode 100644 index 0000000..bd5d8c1 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/scripts/load_python_env.sh @@ -0,0 +1,6 @@ + #!/bin/sh +echo 'Creating Python virtual environment ".venv"...' +python3.11 -m venv .venv + +echo 'Installing dependencies from "requirements.txt" into virtual environment (in quiet mode)...' +.venv/Scripts/python -m pip --quiet --disable-pip-version-check install -r requirements.txt diff --git a/apps/whisper_fine_tuning/infra/scripts/write_env.ps1 b/apps/whisper_fine_tuning/infra/scripts/write_env.ps1 new file mode 100644 index 0000000..c115a75 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/scripts/write_env.ps1 @@ -0,0 +1,13 @@ +$envFilePath = ".env" + +If (Test-Path $envFilePath) { + Remove-Item $envFilePath -Force +} +New-Item -Path $envFilePath -ItemType File -Force | Out-Null + +# Added outputs +Add-Content -Path $envFilePath -Value ("AZURE_LOCATION=" + (azd env get-value location)) +Add-Content -Path $envFilePath -Value ("AZURE_TENANT_ID=" + (azd env get-value tenantId)) +Add-Content -Path $envFilePath -Value ("RESOURCE_GROUP=" + (azd env get-value resourceGroupName)) +Add-Content -Path $envFilePath -Value ("SUBSCRIPTION_ID=" + (azd env get-value subscriptionId)) +Add-Content -Path $envFilePath -Value ("WORKSPACE_NAME=" + '${workspacename}${resourceToken}') diff --git a/apps/whisper_fine_tuning/infra/scripts/write_env.sh b/apps/whisper_fine_tuning/infra/scripts/write_env.sh new file mode 100644 index 0000000..687a4e4 --- /dev/null +++ b/apps/whisper_fine_tuning/infra/scripts/write_env.sh @@ -0,0 +1,12 @@ +envFilePath=".env" + +if [ -f "$envFilePath" ]; then + rm -f "$envFilePath" +fi +touch "$envFilePath" + +echo "AZURE_LOCATION=$(azd env get-value location)" >> "$envFilePath" +echo "AZURE_TENANT_ID=$(azd env get-value 'tenant().tenantId')" >> "$envFilePath" +echo "RESOURCE_GROUP=$(azd env get-value resourceGroupName)" >> "$envFilePath" +echo "SUBSCRIPTION_ID=$(azd env get-value 'subscription().subscriptionId')" >> "$envFilePath" +echo "WORKSPACE_NAME=$(azd env get-value '${workspacename}${resourceToken}')" >> "$envFilePath" diff --git a/apps/whisper_fine_tuning/notebooks/fine_tuned_usage.ipynb b/apps/whisper_fine_tuning/notebooks/fine_tuned_usage.ipynb new file mode 100644 index 0000000..1b6e96b --- /dev/null +++ b/apps/whisper_fine_tuning/notebooks/fine_tuned_usage.ipynb @@ -0,0 +1,12267 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5cefac89", + "metadata": { + "id": "5cefac89" + }, + "source": [ + "# Whisper-large-V2 fine tuned simple usage " + ] + }, + { + "cell_type": "markdown", + "id": "625e47a0", + "metadata": { + "id": "625e47a0" + }, + "source": [ + "## 1. Environment Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e1da5fff", + "metadata": { + "id": "e1da5fff" + }, + "outputs": [], + "source": [ + "import os\n", + "import torch\n", + "\n", + "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"\n", + "print(\"CUDA Available:\", torch.cuda.is_available())\n", + "if torch.cuda.is_available():\n", + " print(\"CUDA Version:\", torch.version.cuda)\n", + " print(\"Number of CUDA Devices:\", torch.cuda.device_count())\n", + " current_device = torch.cuda.current_device()\n", + " print(\"Current CUDA Device:\", current_device)\n", + " print(\"CUDA Device Name:\", torch.cuda.get_device_name(current_device))\n", + "else:\n", + " print(\"CUDA is not available. Please check your GPU configuration.\")\n", + "\n", + "import sys\n", + "sys.path.append(os.path.dirname(os.getcwd())) # Adds the parent directory of the current working directory to sys.path\n", + "print(\"Current working directory added to sys.path:\", os.getcwd())\n", + "\n", + "## 2. Load Model from MLflow (pyfunc and transformers flavors)\n", + "import mlflow\n", + "\n", + "from transformers import (\n", + " AutomaticSpeechRecognitionPipeline,\n", + " WhisperForConditionalGeneration,\n", + " WhisperTokenizer,\n", + " WhisperProcessor,\n", + ")\n", + "\n", + "from peft import PeftModel, PeftConfig\n", + "\n", + "import warnings\n", + "\n", + "# Suppress all warnings\n", + "warnings.filterwarnings(\"ignore\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5b47e2c", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from dotenv import load_dotenv\n", + "# Load environment variables from a .env file if it exists\n", + "load_dotenv()\n", + "# Retrieve the model URI from the virtual environment\n", + "model_uri = os.environ.get(\"model_uri\", \"models:/whisper-Mayoruna-v3/1\")\n", + "mlflow_uri = os.environ.get(\"mlflow_uri\", None)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c784d36b", + "metadata": {}, + "outputs": [], + "source": [ + "local_folder = \"../model/\"\n", + "artifacts_dir = mlflow.artifacts.download_artifacts(model_uri, dst_path=local_folder)\n", + "print(f\"Artifacts downloaded to: {artifacts_dir}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef643524", + "metadata": {}, + "outputs": [], + "source": [ + "# Try loading as Hugging Face pipeline (recommended for Whisper)\n", + "try:\n", + " pipe = mlflow.transformers.load_model(model_uri)\n", + " print(\"Loaded MLflow model as Hugging Face pipeline.\")\n", + "except Exception as e:\n", + " print(\"Could not load as pipeline:\", e)\n", + " pipe = None\n" + ] + }, + { + "cell_type": "markdown", + "id": "0f0928f0", + "metadata": {}, + "source": [ + "## 2. Fallback: load as pyfunc" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fec43666", + "metadata": {}, + "outputs": [], + "source": [ + "try:\n", + " loaded_model = mlflow.pyfunc.load_model(model_uri)\n", + " print(\"Loaded MLflow model as pyfunc.\")\n", + "except Exception as e:\n", + " print(\"Could not load as pyfunc:\", e)\n", + " loaded_model = None" + ] + }, + { + "cell_type": "markdown", + "id": "9745bfe1", + "metadata": {}, + "source": [ + "## 3. Inference Example (Audio Transcription)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "49f19801", + "metadata": {}, + "outputs": [], + "source": [ + "audio_path = \"../src/core/create_data/mayoruna/train_data/audio20.opus\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb7104b3", + "metadata": {}, + "outputs": [], + "source": [ + "generate_kwargs={\n", + " \"repetition_penalty\": 1.2,\n", + " \"no_repeat_ngram_size\": 3,\n", + " \"max_new_tokens\": 128,\n", + " \"do_sample\": False,\n", + " }\n", + "\n", + "\n", + "if pipe is not None:\n", + " # Hugging Face pipeline usage\n", + " result = pipe(audio_path, generate_kwargs=generate_kwargs)\n", + " print(\"Transcription:\", result[\"text\"])\n", + "elif loaded_model is not None:\n", + " # MLflow pyfunc ussage (expects a DataFrame)\n", + " import pandas as pd\n", + " df = pd.DataFrame({\"inputs\": [audio_path]})\n", + " result = loaded_model.predict(df)\n", + " print(\"Transcription:\", result)\n", + "else:\n", + " print(\"No model loaded for inference.\")" + ] + }, + { + "cell_type": "markdown", + "id": "b07e7546", + "metadata": {}, + "source": [ + "WER considers three types of errors:\n", + "Substitutions – wrong word used instead of the correct one\n", + "Insertions – extra words added\n", + "Deletions – missing words" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec06cc2f", + "metadata": {}, + "outputs": [], + "source": [ + "from jiwer import wer\n", + "\n", + "# Load ground truth from the file\n", + "ground_truth_file = \"../src/core/create_data/text\"\n", + "with open(ground_truth_file, \"r\") as file:\n", + " ground_truth_data = file.readlines()\n", + "\n", + "# Parse ground truth into a dictionary\n", + "ground_truth_dict = {}\n", + "for line in ground_truth_data:\n", + " audio_id, text = line.split(maxsplit=1)\n", + " ground_truth_dict[audio_id] = text.strip()\n", + "\n", + "# Get the transcription result\n", + "transcription_result = result[\"text\"]\n", + "\n", + "# Extract the ground truth for the corresponding audio file\n", + "audio_id = audio_path.split(\"/\")[-1].split(\".\")[0] # Extract audio ID from the file path\n", + "ground_truth_text = ground_truth_dict.get(audio_id, \"\")\n", + "\n", + "# Calculate WER\n", + "error_rate = wer(ground_truth_text, transcription_result)\n", + "print(f\"Transcription: {transcription_result}\")\n", + "print(f\"Ground Truth: {ground_truth_text}\")\n", + "print(f\"Word Error Rate (WER): {error_rate}\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "f364433b", + "metadata": {}, + "source": [ + "## 4. Load Model from Local Checkpoint (PEFT)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c8583ce3", + "metadata": {}, + "outputs": [], + "source": [ + "audio_path = \"../src/core/create_data/evaluation_data/audio3.opus\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1005a3c", + "metadata": {}, + "outputs": [], + "source": [ + "local_model_path = \"../model/model\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0fdb34e0", + "metadata": {}, + "outputs": [], + "source": [ + "try:\n", + " peft_config = PeftConfig.from_pretrained(local_model_path)\n", + " model = WhisperForConditionalGeneration.from_pretrained(\n", + " peft_config.base_model_name_or_path, load_in_8bit=True, device_map=\"auto\"\n", + " )\n", + " model = PeftModel.from_pretrained(model, local_model_path)\n", + " tokenizer = WhisperTokenizer.from_pretrained(peft_config.base_model_name_or_path)\n", + " processor = WhisperProcessor.from_pretrained(peft_config.base_model_name_or_path)\n", + " print(f\"Loaded local PEFT model - {peft_config.base_model_name_or_path}\")\n", + "except Exception as e:\n", + " print(\"Could not load local PEFT model:\", e)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45e0c877", + "metadata": {}, + "outputs": [], + "source": [ + "feature_extractor = processor.feature_extractor\n", + "forced_decoder_ids = processor.get_decoder_prompt_ids(task=\"transcribe\")\n", + "pipe = AutomaticSpeechRecognitionPipeline(model=model, tokenizer=tokenizer, feature_extractor=feature_extractor)\n", + "\n", + "generate_kwargs={\n", + " \"repetition_penalty\": 1.2,\n", + " \"no_repeat_ngram_size\": 3,\n", + " \"max_new_tokens\": 128,\n", + " \"do_sample\": False,\n", + " \"forced_decoder_ids\": forced_decoder_ids\n", + " }\n", + "\n", + "def transcribe(audio):\n", + " with torch.cuda.amp.autocast():\n", + " text = pipe(audio, generate_kwargs=generate_kwargs)[\"text\"]\n", + " return text\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a587ce13", + "metadata": {}, + "outputs": [], + "source": [ + "audio_path = \"../src/core/create_data/evaluation_data/audio1.opus\"\n", + "transcription_result = transcribe(audio_path)\n", + "\n", + "# Extract the ground truth for the corresponding audio file\n", + "audio_id = audio_path.split(\"/\")[-1].split(\".\")[0] # Extract audio ID from the file path\n", + "ground_truth_text = ground_truth_dict.get(audio_id, \"\")\n", + "print(\"Transcription Result:\", transcription_result)\n", + "print(f\"Ground Truth: {ground_truth_text}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afd53329", + "metadata": {}, + "outputs": [], + "source": [ + "### Inference with nvidia/parakeet-rnnt-110m-da-dk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f0505dd", + "metadata": {}, + "outputs": [], + "source": [ + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a17f4b18", + "metadata": {}, + "outputs": [], + "source": [ + "from nemo.collections.asr.models import EncDecRNNTModel\n", + "\n", + "# Path to the .nemo model\n", + "nemo_model_path = \"../nemo_rnnt_da/parakeet-rnnt-110m-da-dk-finetuned.nemo\"\n", + "\n", + "# Load the NeMo model\n", + "try:\n", + " nemo_model = EncDecRNNTModel.restore_from(nemo_model_path)\n", + " print(\"NeMo model loaded successfully.\")\n", + "except Exception as e:\n", + " print(\"Failed to load NeMo model:\", e)\n", + "\n", + "# Perform inference\n", + "def transcribe_audio(audio_file):\n", + " try:\n", + " transcription = nemo_model.transcribe([audio_file])\n", + " return transcription[0]\n", + " except Exception as e:\n", + " print(\"Error during transcription:\", e)\n", + " return None\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7566c6a", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "sys.stdout.reconfigure(encoding=\"utf-8\") # run once, early in the notebook\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "295d417c", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Example usage\n", + "audio_path = \"../src/core/create_data/matis/train_data/audio1.ogg\"\n", + "transcription_result = transcribe_audio(audio_path)\n", + "print(\"Transcription Result:\", transcription_result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ced1536d", + "metadata": {}, + "outputs": [], + "source": [ + "⁇ in b ⁇ dawaki abrimenkin n ⁇ ndoxita ⁇\n", + "\n", + "Mibi min benefício awestenda ikek isnukek?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1009713c", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# Perform a simple inference example\n", + "test_audio_path = \"../src/core/create_data/test_data/audio9.opus\"\n", + "\n", + "if pipe is not None:\n", + " # Hugging Face pipeline usage\n", + " result = pipe(test_audio_path)\n", + " print(\"Transcription:\", result[\"text\"])\n", + "elif loaded_model is not None:\n", + " # MLflow pyfunc usage (expects a DataFrame)\n", + " df = pd.DataFrame({\"inputs\": [test_audio_path]})\n", + " result = loaded_model.predict(df)\n", + " print(\"Transcription:\", result)\n", + "else:\n", + " print(\"No model loaded for inference.\")" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "machine_shape": "hm", + "provenance": [] + }, + "gpuClass": "standard", + "kernelspec": { + "display_name": "whisper-ft-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "00ea004e5dfc4dd7ad642a78017d33f6": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "015fadabbb9648369aa136d47595194c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "01f848c8e79245a59dd093a4157bd5bd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "02a31af364fb44999c5ed54dbdfe480f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "039b971a54304ab79cd3b38f491880ca": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_822f20962ef34e64852510799e032483", + "IPY_MODEL_8a7567fe290644849916c8b6b2b103c4", + "IPY_MODEL_53ef167761e8413687d0dcca7610bfdf" + ], + "layout": "IPY_MODEL_00ea004e5dfc4dd7ad642a78017d33f6" + } + }, + "03aedad9de02433b83001e6f8c632495": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e121fd4d8fef4bd2843d538bc2f56d11", + "placeholder": "​", + "style": "IPY_MODEL_85f4f8c47d704934852646f3fe3c2d83", + "value": "Downloading (…)rocessor_config.json: 100%" + } + }, + "05192de324f347eaacc3776192c99605": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "05ebd11a7dc8470b97dc31707cb106f5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "06fb4451d0bc4c0594a3a7ea425032d4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "071602bce3b94e168001af5b1f870cf4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d28d552e1bdf47dd9f3c3f5a3bfba564", + "placeholder": "​", + "style": "IPY_MODEL_2f82785e215e4ffb8e5642aaad0e5209", + "value": "Downloading data: 100%" + } + }, + "07acd19d37ac42ce8f1608d0ced21f30": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "09462adbc5744d5ab674b47ab3341c30": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "09a36221158f443a96efcabe8836e47f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a62f2098cc89488cb4c6ab3c26fc095d", + "placeholder": "​", + "style": "IPY_MODEL_b33c7e56b49c4079a77a0c1d7b0b5917", + "value": "Extracting data files: 100%" + } + }, + "09c54b0991db4da9addda3281d8d9dd7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0a2e0de9a6aa4dccb36bb82f9f00b425": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b35a61133fbc4a50b711fe82b6082171", + "placeholder": "​", + "style": "IPY_MODEL_b50b2fbb51b3422cbadfa3548877631f", + "value": " 82.3M/82.3M [00:01<00:00, 83.3MB/s]" + } + }, + "0aef1461c47f486c8146b0c54516a224": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "0b079de978e146f7810d61ffb0a1c26b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0b54d68bf85140b1b9bdd6ae1e1eadec": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0b7684be77cf4ff49e89d4f1e1ccc056": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0c57abcfe68f47ad9eadeb4611d8cc73": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0c605256d6e54ce79869935aaa61be4a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b5e54b1dec144ecca9eeff79f365b39c", + "placeholder": "​", + "style": "IPY_MODEL_f09ed24860cb41ea950393e9cababdcd", + "value": " 494k/494k [00:01<00:00, 440kB/s]" + } + }, + "0cf15ab44d6545bb9a9a9324952b8b97": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0de07e2ab054491cb9b23f8d1609f905": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "0e9ca897ebe0448689b91bf1f6dabca8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0ebc3f9d68bb4ffca78bec0430db3b71": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0effee16921744699cfa4ad3af4136ef": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "0f4bed612ef645d2909eaf7a9852d644": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d4adc1308b944601b743ca86baf20a17", + "placeholder": "​", + "style": "IPY_MODEL_c3b345394dcf488785f8c68dc64677d0", + "value": "Downloading data: 100%" + } + }, + "122ffb7f657144958237605e3a814ef0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_07acd19d37ac42ce8f1608d0ced21f30", + "placeholder": "​", + "style": "IPY_MODEL_e93b180435c74859a880b4a4dd24f724", + "value": "Generating test split: " + } + }, + "12902f1f1f46424fa6d3947583bd1da2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1c201f25fffa4429a4b3475954bbaeee", + "IPY_MODEL_a9b843670c8c4036b3ccddb94d4a9e3e", + "IPY_MODEL_3489e7b37194487d97814330178560fc" + ], + "layout": "IPY_MODEL_161cd9528bd1478b996c5d2ae1cfb224" + } + }, + "12d5cdce4d354066837518c45a38d41e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "13950ddb812440fb841bfb7f87282e33": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "141d2d0730de4405836f1801d2960cb1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "14e176657e634af9bc2710581cf3b2ef": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "14e8a09976174144a2f00b0754178091": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "info", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ac33c1ec06b942aebeff4f3ae2a8de25", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_2a9bf4ebbb644381b2d9d9957aeb1d01", + "value": 1 + } + }, + "16051c2e9e574869b211457a638a0841": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "161cd9528bd1478b996c5d2ae1cfb224": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "17a8cb43fcb34c8b8e67ff87b6fc2cba": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d54444ede5874f38bd63aabb428a445d", + "IPY_MODEL_5d698945ebee469b86262bbe172651a2", + "IPY_MODEL_4d0396f0937540408c9e28c17b21e60b" + ], + "layout": "IPY_MODEL_7933ebfb36e84ae1b0e58e25aa31bc8d" + } + }, + "18510643904649f4aefe896ae548948a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "190b5821c72f4891916d5548f1fc7dc5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f17fe8f3856144a59e1e0bcef9bca02d", + "placeholder": "​", + "style": "IPY_MODEL_25adf60f1c654a019ba23a6d38b44a56", + "value": " 12.2k/12.2k [00:00<00:00, 759kB/s]" + } + }, + "19372cbc6ab14fe79b9722aa255dda18": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": "center", + "align_self": null, + "border": null, + "bottom": null, + "display": "flex", + "flex": null, + "flex_flow": "column", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "50%" + } + }, + "196dc315219745d5b98e42fb96744c75": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_80d06aafa3034c498830e9cac708d3a9", + "max": 1816, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4e3cc8c0fed14530aaecd8ca5eb01d97", + "value": 468 + } + }, + "1ab163148702410182567f74720978e5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1b46512552dd41029e2acb798b262ff0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_81865544d08b40409297cd8f3a6f36e0", + "IPY_MODEL_9cb74bebaa7e4fe2a1d49b0e04f61865", + "IPY_MODEL_d51c451fd1024e7496e4c5328b882345" + ], + "layout": "IPY_MODEL_79e86f32d377451daf6eca0d1587bbd1" + } + }, + "1c201f25fffa4429a4b3475954bbaeee": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_269c24f010e648c7af7f4f82429bf0a9", + "placeholder": "​", + "style": "IPY_MODEL_4fa1969d35474a8f9e0d6a59cd0b3483", + "value": "Downloading (…)in/added_tokens.json: 100%" + } + }, + "1c6c30f869e94692ad75b886ae610b26": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1cdd95f9eb8344088c2a746b010a67cc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1e0a7dbc84634315ba4e9cf5b576c37d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2005ea815e304707bfd5054111e4fd4d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_071602bce3b94e168001af5b1f870cf4", + "IPY_MODEL_d93801c5988f49f399de5ee9e2d44aab", + "IPY_MODEL_7f228e2f2c36490b919e201718bc8eba" + ], + "layout": "IPY_MODEL_828685f1980349d9b575c8e152c4f2ab" + } + }, + "200e0ca5912a4087ba3b88af257083b8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_268873a9cdca41c4bff52c73686ba11b", + "max": 615674, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_d732f9e1b3d84dd5addb2b6cb6fbdcf2", + "value": 615674 + } + }, + "205d95c7d9f945a691fb558fe21e8dfb": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2067d2600d99458dabac8f852a5bf9c1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "20c1ba7817134334b4067e9db7d06582": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d878822386084b70b8d16a2e88749e57", + "max": 974011, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0de07e2ab054491cb9b23f8d1609f905", + "value": 974011 + } + }, + "2208dba528c548f9a46939d93d62d443": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "22386e6872404289a4e7ce5df75ebb66": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0b54d68bf85140b1b9bdd6ae1e1eadec", + "placeholder": "​", + "style": "IPY_MODEL_c00fabe81a804d83a707b422618d3a73", + "value": " 2237/0 [00:16<00:00, 2054.14 examples/s]" + } + }, + "235a162d19b14c6db253f640202622ca": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_68d9a6f90e2f4e969bcc227e7d7813af", + "placeholder": "​", + "style": "IPY_MODEL_5d2840a8d61448f7b51f494d4fd59fb8", + "value": "Downloading (…)olve/main/vocab.json: 100%" + } + }, + "23f48c68127846d3ba2c90bced2f66af": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2433807fa394411a9040c993a425e1b4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "253309faefd74c229b55911c821a45f3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ButtonModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ButtonModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ButtonView", + "button_style": "", + "description": "Login", + "disabled": false, + "icon": "", + "layout": "IPY_MODEL_8ac9314ebcc2408297c3de7238983b16", + "style": "IPY_MODEL_33a3905799f14bb993758523fa3e60df", + "tooltip": "" + } + }, + "2587a4537680434cb60999495be24ce1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "25adf60f1c654a019ba23a6d38b44a56": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2645953bb4954577882df50487444567": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "268873a9cdca41c4bff52c73686ba11b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "269c24f010e648c7af7f4f82429bf0a9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "26cbf5f41f17438e9ec6378a7d2732a3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "27909a6402c640aebd2c8ea95cdad348": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "28a494023c484c14b5232c8cfcbe890d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "28b099ce6520499f90a42bcbc56237d6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_90591ab7c2fb483a93b1ce123f27bded", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4f601606506e447eadc99f8ee06fd05c", + "value": 5 + } + }, + "2971d9e9871d44a2bbd0947cbf2e57fe": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "29e05d90b6864dc7b8fdf737c9a5fbda": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2a9bf4ebbb644381b2d9d9957aeb1d01": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2ad5c7704d974532868bc1748f911cf6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0b7684be77cf4ff49e89d4f1e1ccc056", + "placeholder": "​", + "style": "IPY_MODEL_01f848c8e79245a59dd093a4157bd5bd", + "value": " 8.30k/8.30k [00:00<00:00, 666kB/s]" + } + }, + "2c7ee8b4446440e983c5650fed6773a8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_cf6ee150490d47f7851bf929509a4d01", + "placeholder": "​", + "style": "IPY_MODEL_7ce5b2af212f4f35b024fc79095b73b2", + "value": " 5/5 [00:02<00:00, 1.67it/s]" + } + }, + "2f82785e215e4ffb8e5642aaad0e5209": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2fe65aac7c41463985f7ea93a2a554ad": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2feaa90661bc4ccda549145b2a8b469b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2208dba528c548f9a46939d93d62d443", + "max": 781879, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_82dbb8933fac4ca2b26a1c22c70a44a8", + "value": 781879 + } + }, + "304642d1f5b94bf6b6addaeefe2fad39": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "30f5b7a0fde04f7fba8a40434b7cd824": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "31359055e5a84e6aadd016eec566da10": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "32268c28f63c449cac628c5d962fd210": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "32b5f4fac8b346bc867e2cbee298178d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "33a3905799f14bb993758523fa3e60df": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ButtonStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ButtonStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "button_color": null, + "font_weight": "" + } + }, + "3489e7b37194487d97814330178560fc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_27909a6402c640aebd2c8ea95cdad348", + "placeholder": "​", + "style": "IPY_MODEL_6f51f18a587a46b5ad90acbdad2514ae", + "value": " 2.11k/2.11k [00:00<00:00, 135kB/s]" + } + }, + "34995560a495408182e6bcc426ac3072": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a08c71b1f57e4faea7aaf085331128c7", + "placeholder": "​", + "style": "IPY_MODEL_09462adbc5744d5ab674b47ab3341c30", + "value": " 782k/782k [00:00<00:00, 29.6MB/s]" + } + }, + "35093a7dc81c42f49d9638eacd454374": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3517b076fc6d40049fda00695a0f9a33": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3531c025c7174185b5ef6731db57c624": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "35f9001bb958463da1762771b1ef0438": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3644aca55ff34c468b9e549eccc4b8f8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3753fdd39c39497e89193318ab2973ed": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d09fc87b26d343b0a754874cde367641", + "placeholder": "​", + "style": "IPY_MODEL_7a732023cf804bd192d1bd5826d39c22", + "value": " 5/5 [00:15<00:00, 3.07s/it]" + } + }, + "386b898f0faa4a4cacb00a2bb5c82e47": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "PasswordModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "PasswordModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "PasswordView", + "continuous_update": true, + "description": "Token:", + "description_tooltip": null, + "disabled": false, + "layout": "IPY_MODEL_516731f1fbc149b68bdc4e7d98a12365", + "placeholder": "​", + "style": "IPY_MODEL_2971d9e9871d44a2bbd0947cbf2e57fe", + "value": "" + } + }, + "391dc42c25cd4bb28df82b597458e361": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d9b26de07e194767958a242449c59177", + "max": 8297, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1e0a7dbc84634315ba4e9cf5b576c37d", + "value": 8297 + } + }, + "39c1aef0b6454420a8e8478409b9d764": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_18510643904649f4aefe896ae548948a", + "placeholder": "​", + "style": "IPY_MODEL_35093a7dc81c42f49d9638eacd454374", + "value": "Downloading (…)okenizer_config.json: 100%" + } + }, + "3a15b677a0c04c4babb1764bc85b0d91": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3af2546bb445453cb9f472ed726185dd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3b0f537a83fc4b0d869487a50cf7b530": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c691d2a44fa14a0d975b8ef56e3ae160", + "placeholder": "​", + "style": "IPY_MODEL_d867b4128b3049f9bf2de203a72544eb", + "value": " 3.44k/3.44k [00:00<00:00, 242kB/s]" + } + }, + "3cbdce8cd5b146f2a59b11ec41cf5a94": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3cf2f1ebbe7e49cf94350adb8c21f6df": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "3da8dc3ed59a4a1d8268a50dcb1bae26": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3dd025a9a2df43e1b7ac847c1f13756b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0c57abcfe68f47ad9eadeb4611d8cc73", + "placeholder": "​", + "style": "IPY_MODEL_f7c32912e9f646b7a530823559f18720", + "value": " 110M/110M [00:01<00:00, 74.6MB/s]" + } + }, + "413f0aa7d74248b69d20fbc47c7ff4d4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": null + } + }, + "417bdffd735f4c71a38909b107ee3b48": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "42bc8186d4544d9ea65948474fc7a631": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "43932e3f2c09496f986240d63144c08f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "463d941ebef2485ea4380ae58205734b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_88a3a736c4944d7d80a0c135d9cb12d6", + "max": 580651, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_13950ddb812440fb841bfb7f87282e33", + "value": 580651 + } + }, + "4af0066499704583b0daa60f2a95120d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_39c1aef0b6454420a8e8478409b9d764", + "IPY_MODEL_8a4f122d2c5c48b699447b2beea5cac0", + "IPY_MODEL_5890acf60121496da82e950c3a009383" + ], + "layout": "IPY_MODEL_cca9c53b8c984db0b462110a22576753" + } + }, + "4bfe124da40f4648baa5ef729ad55517": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4c22531fcf4841bf80c84a4f8ece411a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4c526b57a3f243d8af96847bb725581b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4cd9ff4fbacf462a8d5bed233559f816": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4d0396f0937540408c9e28c17b21e60b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_89064ff3039e422cb7ffac453962f07f", + "placeholder": "​", + "style": "IPY_MODEL_a1275b9a43e64111ad055f3a067128c0", + "value": " 2.06k/2.06k [00:00<00:00, 155kB/s]" + } + }, + "4dc46d73609d4cf799319373dc0b12c0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4e14e51c758e403bbe683dba419eac64": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4e3cc8c0fed14530aaecd8ca5eb01d97": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4f584e4fac054bd1a58eb916facf49ad": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4f601606506e447eadc99f8ee06fd05c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4fa1969d35474a8f9e0d6a59cd0b3483": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5038053f964345f3ba888ccb6a244a69": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5048b33ae79749afbd654eb22e9665ba": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "515075e63d9049a4a5fc0f636ea2940a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7fb0a2ca236742ad84a344c46444c61f", + "max": 110376960, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_a0af686c553c4819b7078532fc4b4076", + "value": 110376960 + } + }, + "516731f1fbc149b68bdc4e7d98a12365": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "51bb31bf63644e3d913d7af94e1a8828": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "525f00b789844438b5234150ced7084d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "53d74e44b6ea4290ad39c6e37f371f62": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9a51475a48024923a5e93f1292238093", + "placeholder": "​", + "style": "IPY_MODEL_6a746e5753984d4db32878c7a2da7496", + "value": " 60.9k/60.9k [00:00<00:00, 66.9kB/s]" + } + }, + "53daaa6abfda46c5ae806db2a4fcb204": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_69cfdd66edf544ba82217ef5088a60de", + "placeholder": "​", + "style": "IPY_MODEL_5cbfb6241a0e4c509bf8060dc37950dd", + "value": "Downloading builder script: 100%" + } + }, + "53ef167761e8413687d0dcca7610bfdf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1ab163148702410182567f74720978e5", + "placeholder": "​", + "style": "IPY_MODEL_5c274b10fd9b4b6093bd3b9f1e149a44", + "value": " 3927/3927 [07:24<00:00, 10.35ex/s]" + } + }, + "5418e6ba1cc84d68a3d25414c1e1a152": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "55dde032a30d4c4b816fd8b273a9f2ad": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c076931947b54fc1aed587e12b0670dc", + "placeholder": "​", + "style": "IPY_MODEL_8e98cc2edf05480e873d22f2e9e06626", + "value": " 468/1816 [00:48<02:58, 7.53ex/s]" + } + }, + "56035a375a6b4cf285d54a594219e475": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5803108336744f588e709aaa67f36bc6": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5890acf60121496da82e950c3a009383": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5048b33ae79749afbd654eb22e9665ba", + "placeholder": "​", + "style": "IPY_MODEL_0cf15ab44d6545bb9a9a9324952b8b97", + "value": " 829/829 [00:00<00:00, 47.2kB/s]" + } + }, + "5a9b6cea41614479bca716b214b4b927": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5aabd963260f4fa0b5601296e5ea2d64": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_235a162d19b14c6db253f640202622ca", + "IPY_MODEL_f3ad38f58e6842f393fcf92c1b0fb2f0", + "IPY_MODEL_69df3444bb094f6594b23765aa8de335" + ], + "layout": "IPY_MODEL_d0ef68d1c9814421b9bd238f28e56728" + } + }, + "5b2419bd4aca4da28277f0a76cbbe809": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ccb6b7821b7346dea1b28fb4e1b93b78", + "IPY_MODEL_196dc315219745d5b98e42fb96744c75", + "IPY_MODEL_55dde032a30d4c4b816fd8b273a9f2ad" + ], + "layout": "IPY_MODEL_62d61298bb3245e4b222be39e0dd3038" + } + }, + "5c274b10fd9b4b6093bd3b9f1e149a44": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5cbfb6241a0e4c509bf8060dc37950dd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5cd7e78385034082b819e33f22f31888": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5cdbdcb566aa4bc08578056f8569508d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7c4cf30c63eb41ce8a87a8ea7d413164", + "placeholder": "​", + "style": "IPY_MODEL_ecc14831b6b94e49901722a798920c67", + "value": "Downloading data: 100%" + } + }, + "5d2840a8d61448f7b51f494d4fd59fb8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5d698945ebee469b86262bbe172651a2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f19fc1eefc194f028d1470cf6a9ee5fc", + "max": 2064, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_bbd7d7f6bb6c4680b3f2934a119b6e53", + "value": 2064 + } + }, + "5ee96dd465304294a7e96f9bf9662d5f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ec61fb35896a4b248210f1485c1a5944", + "IPY_MODEL_8901344aafdb4df6916da6efa284e0bd", + "IPY_MODEL_3b0f537a83fc4b0d869487a50cf7b530" + ], + "layout": "IPY_MODEL_6524109ccb9b44b3b835701a3e7038f1" + } + }, + "5fe667e4b1c142b8a712371e9ca04007": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "609b156fc92f468e88be1ac9acafcd6d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_95bf39b60e024f28873d4b61ad5c2fdc", + "IPY_MODEL_2feaa90661bc4ccda549145b2a8b469b", + "IPY_MODEL_34995560a495408182e6bcc426ac3072" + ], + "layout": "IPY_MODEL_8274c0c803d1402bb9b3b6cf357a32d0" + } + }, + "61f2078289874d02abb0b2922b37d858": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": null + } + }, + "626315a2a4ee4d0f8c6790b8568e8308": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_9ad7dc8636c047e9bdd110f09f13559c", + "IPY_MODEL_adb6a80797c14660b00eaeb8d6970efc", + "IPY_MODEL_74c391b7818447519f3cc9fcbc326c04" + ], + "layout": "IPY_MODEL_26cbf5f41f17438e9ec6378a7d2732a3" + } + }, + "627c93e2dcbe40ee98d7e83ebba8c8f7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7d68b146d71b409b9399012966122b7f", + "IPY_MODEL_6cdfe0806ede4620a8cf040709c8fe37", + "IPY_MODEL_3753fdd39c39497e89193318ab2973ed" + ], + "layout": "IPY_MODEL_5803108336744f588e709aaa67f36bc6" + } + }, + "62d61298bb3245e4b222be39e0dd3038": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "62f7a4eb906f49e3b83cdc1a97800174": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "637f16e7b57d4bae884ad2842a89cecd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4cd9ff4fbacf462a8d5bed233559f816", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7b0c27939c174ed88f78768f944eb059", + "value": 5 + } + }, + "63ff4e9243ff4817ba902b831e7aa1af": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_6c880dd083114c6db637c477e8b32105", + "IPY_MODEL_70c42da0b6e048b9839d5c9488c04310", + "IPY_MODEL_925bc91cc4fe46098c2ba0c1daa0a352" + ], + "layout": "IPY_MODEL_f1d3d91f75534b4a8fb34e31fd35b1b5" + } + }, + "649a2798d4d948bf9fdc80c0d652d409": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_cb88adf3f9544a8ab9a088c5b2338660", + "placeholder": "​", + "style": "IPY_MODEL_304642d1f5b94bf6b6addaeefe2fad39", + "value": "Generating train split: " + } + }, + "64bc83f4257c4d90a5d2ad42866adc88": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6524109ccb9b44b3b835701a3e7038f1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "654810cab36f424880e9eb319f02488a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7c50f725f92448608568993baf386058", + "IPY_MODEL_200e0ca5912a4087ba3b88af257083b8", + "IPY_MODEL_d446735cdfa14572922b76fc3ae18d29" + ], + "layout": "IPY_MODEL_bf26c81e97ef423e81cae1199d40df77" + } + }, + "65fe2902c01440e79f04e670311af0ff": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "66ddc1c800394b7ea0688d0c0991aafd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "679c962c7cd8419a82d1cc200b582a0c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5cd7e78385034082b819e33f22f31888", + "placeholder": "​", + "style": "IPY_MODEL_16051c2e9e574869b211457a638a0841", + "value": "Generating validation split: " + } + }, + "68d9a6f90e2f4e969bcc227e7d7813af": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6932d74b14204edb8b10e53ad9da543e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "69cfdd66edf544ba82217ef5088a60de": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "69df3444bb094f6594b23765aa8de335": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_06fb4451d0bc4c0594a3a7ea425032d4", + "placeholder": "​", + "style": "IPY_MODEL_56035a375a6b4cf285d54a594219e475", + "value": " 1.04M/1.04M [00:01<00:00, 770kB/s]" + } + }, + "6a746e5753984d4db32878c7a2da7496": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6ae5c1de5351435d9dcff3f7061ea585": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_03aedad9de02433b83001e6f8c632495", + "IPY_MODEL_9ec52dd862f448089b4629198f9470e8", + "IPY_MODEL_a2d6b86f09ee44ae9f79f649c172b4e8" + ], + "layout": "IPY_MODEL_6b8f7d70d2b14e8a959f9789cc0fa3e8" + } + }, + "6b8f7d70d2b14e8a959f9789cc0fa3e8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6c880dd083114c6db637c477e8b32105": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_98a3896cf9c043fdbc8044d59d255170", + "placeholder": "​", + "style": "IPY_MODEL_e6650e5c24a543b1bd1c102d282a4899", + "value": "Downloading (…)main/normalizer.json: 100%" + } + }, + "6cdfe0806ede4620a8cf040709c8fe37": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6932d74b14204edb8b10e53ad9da543e", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_2067d2600d99458dabac8f852a5bf9c1", + "value": 5 + } + }, + "6ce3ca230d654e4ba2486d6a5b61ade0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_debfbb1e51c042bb9902af197f5a1a64", + "IPY_MODEL_f883f3606a254ef69e40cc795599a83e", + "IPY_MODEL_0a2e0de9a6aa4dccb36bb82f9f00b425" + ], + "layout": "IPY_MODEL_0b079de978e146f7810d61ffb0a1c26b" + } + }, + "6d123f8c48b443069775959904b86fe7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6ec6442d037c4a62b5a1ecaba9432a15": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": null + } + }, + "6f51f18a587a46b5ad90acbdad2514ae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6ff90b29573a4f3498f787a48025280e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7080a11fd5164b7f97c9ec0fe4127fe1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "70b1b110c6f84ab0b9a3c285ba727034": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_0f4bed612ef645d2909eaf7a9852d644", + "IPY_MODEL_515075e63d9049a4a5fc0f636ea2940a", + "IPY_MODEL_3dd025a9a2df43e1b7ac847c1f13756b" + ], + "layout": "IPY_MODEL_e859bab1e1e04ddb9d9a03d5d18774bc" + } + }, + "70c42da0b6e048b9839d5c9488c04310": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_86f6d8eef50f4bcfb248f32411bb301f", + "max": 52666, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_65fe2902c01440e79f04e670311af0ff", + "value": 52666 + } + }, + "7352178f81bf4bd18e7b27786cf70e61": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "749c7fd6ecba454dbde56dd58706e6d6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d865ab1ed9664d0da54e5877210450d8", + "placeholder": "​", + "style": "IPY_MODEL_f5b96af5387b4c98bcdcdd2d4cdce282", + "value": " 5/5 [00:09<00:00, 1.92s/it]" + } + }, + "74c391b7818447519f3cc9fcbc326c04": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1c6c30f869e94692ad75b886ae610b26", + "placeholder": "​", + "style": "IPY_MODEL_9743cc1a90ee469eb6dbd1f384711cbb", + "value": " 91.0M/91.0M [00:01<00:00, 77.1MB/s]" + } + }, + "771627c980e748b2abb78b7473995ba8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a24dcc30489e4e8eb0ce0fc21dbebfd1", + "IPY_MODEL_848d9c9544f84a34acb71abe29c8f8d3", + "IPY_MODEL_53d74e44b6ea4290ad39c6e37f371f62" + ], + "layout": "IPY_MODEL_85a59514782e4f1593e1a10275900c95" + } + }, + "7933ebfb36e84ae1b0e58e25aa31bc8d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "79a1280a7e29478d8fdac0d693d56774": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "79e86f32d377451daf6eca0d1587bbd1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7a23dcf2675c46dcbf78afe15d58b062": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7a732023cf804bd192d1bd5826d39c22": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7b0c27939c174ed88f78768f944eb059": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "7b4cb882878046c5b0b95a2e5de4221c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_43932e3f2c09496f986240d63144c08f", + "placeholder": "​", + "style": "IPY_MODEL_c4154fbc146845958ef82e022ae69123", + "value": "Generating invalidated split: " + } + }, + "7c4cf30c63eb41ce8a87a8ea7d413164": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7c50f725f92448608568993baf386058": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f2aa73c616c74158ab174d575d621da2", + "placeholder": "​", + "style": "IPY_MODEL_51bb31bf63644e3d913d7af94e1a8828", + "value": "Downloading data: 100%" + } + }, + "7cda0dee825a4666af88fd65e8cc70b5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_42bc8186d4544d9ea65948474fc7a631", + "placeholder": "​", + "style": "IPY_MODEL_7ebc34039503440c9935b770928b3844", + "value": " 5/5 [00:00<00:00, 265.33it/s]" + } + }, + "7ce5b2af212f4f35b024fc79095b73b2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7d597c596d5a47148e907e3b79f8bd88": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_679c962c7cd8419a82d1cc200b582a0c", + "IPY_MODEL_14e8a09976174144a2f00b0754178091", + "IPY_MODEL_81f3e2adf4e34517ad53e59ee0527ae1" + ], + "layout": "IPY_MODEL_bcae5892522e4f0fa3787c14ef1f76a8" + } + }, + "7d68b146d71b409b9399012966122b7f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e3e2ce019c2e476a8e78b54537bdeb15", + "placeholder": "​", + "style": "IPY_MODEL_417bdffd735f4c71a38909b107ee3b48", + "value": "Downloading data files: 100%" + } + }, + "7dff60d3c9284475809e722484f1f134": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a8acf7d41fb94631a5cc0038211fc2c1", + "IPY_MODEL_28b099ce6520499f90a42bcbc56237d6", + "IPY_MODEL_749c7fd6ecba454dbde56dd58706e6d6" + ], + "layout": "IPY_MODEL_7f5f73d7f92d448fa9dbbee5f1cce514" + } + }, + "7ebc34039503440c9935b770928b3844": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7f228e2f2c36490b919e201718bc8eba": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_79a1280a7e29478d8fdac0d693d56774", + "placeholder": "​", + "style": "IPY_MODEL_d82a83c3e6b149f382d98790423e2b7b", + "value": " 69.7M/69.7M [00:00<00:00, 74.7MB/s]" + } + }, + "7f5f73d7f92d448fa9dbbee5f1cce514": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7fb0a2ca236742ad84a344c46444c61f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7fcbd6b05c914986b9fa6516b8928d65": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "VBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "VBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "VBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f2294fdb5aa449e0b264cf0015ca226c", + "IPY_MODEL_386b898f0faa4a4cacb00a2bb5c82e47", + "IPY_MODEL_f4c8838d4c9d4a63ad32b3ee583cf867", + "IPY_MODEL_253309faefd74c229b55911c821a45f3", + "IPY_MODEL_ec4ceee85ccc4731ad41aa70674fd5e3" + ], + "layout": "IPY_MODEL_19372cbc6ab14fe79b9722aa255dda18" + } + }, + "7fcda9bba6304a80bd59231523901c1b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_05ebd11a7dc8470b97dc31707cb106f5", + "placeholder": "​", + "style": "IPY_MODEL_5a9b6cea41614479bca716b214b4b927", + "value": " 974k/974k [00:00<00:00, 31.8MB/s]" + } + }, + "80d06aafa3034c498830e9cac708d3a9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "80e9557aa2cd46d4a68e6c20711c3878": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d30d50e2207c4592b43bc7dfdd9be105", + "IPY_MODEL_f4bc5311892541c58d3e7b204ea66496", + "IPY_MODEL_ff9b8c43a1184b0cba09f909b2b8faca" + ], + "layout": "IPY_MODEL_f3d27f201e274d80be2ed0f6811269c0" + } + }, + "81865544d08b40409297cd8f3a6f36e0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b44e4ebb453a431b8d3e0cd508cf644c", + "placeholder": "​", + "style": "IPY_MODEL_2645953bb4954577882df50487444567", + "value": "Downloading readme: 100%" + } + }, + "81f3e2adf4e34517ad53e59ee0527ae1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_02a31af364fb44999c5ed54dbdfe480f", + "placeholder": "​", + "style": "IPY_MODEL_3a15b677a0c04c4babb1764bc85b0d91", + "value": " 1682/0 [00:18<00:00, 2830.85 examples/s]" + } + }, + "822f20962ef34e64852510799e032483": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a99b8da2604949e6aac115c9170689d7", + "placeholder": "​", + "style": "IPY_MODEL_3af2546bb445453cb9f472ed726185dd", + "value": "100%" + } + }, + "8274c0c803d1402bb9b3b6cf357a32d0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "828685f1980349d9b575c8e152c4f2ab": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "82dbb8933fac4ca2b26a1c22c70a44a8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "83f41ef810774d619f8e09feffcd59e8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "20px" + } + }, + "841bedd894b2466fbb1ae2a27b5b24b7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8471f35dc92e41f38b2d8584051b7082": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5418e6ba1cc84d68a3d25414c1e1a152", + "placeholder": "​", + "style": "IPY_MODEL_015fadabbb9648369aa136d47595194c", + "value": "Extracting data files: 100%" + } + }, + "848d9c9544f84a34acb71abe29c8f8d3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a8cb8f6c11bb47fe9d1507d0d6c7d227", + "max": 60862, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_bc3a1f51d166437a9e27d9331f629f67", + "value": 60862 + } + }, + "85a59514782e4f1593e1a10275900c95": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "85f4f8c47d704934852646f3fe3c2d83": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8685c8cce94b4946ac3be661b3b1972f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "86f6d8eef50f4bcfb248f32411bb301f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "889b3c2194c342cbb08460afd595f2f9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "88a3a736c4944d7d80a0c135d9cb12d6": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8901344aafdb4df6916da6efa284e0bd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_23f48c68127846d3ba2c90bced2f66af", + "max": 3439, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_be268dcb4a534530845c94bb41d10032", + "value": 3439 + } + }, + "89064ff3039e422cb7ffac453962f07f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8a4f122d2c5c48b699447b2beea5cac0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e0d3b1d6bdb2427dbded9e0f88ebc83f", + "max": 829, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f875eb66a0b1420cbc65ecce2c80b3ca", + "value": 829 + } + }, + "8a7567fe290644849916c8b6b2b103c4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ea66dfa4d8cd450da917d64f39bb3387", + "max": 3927, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9dc99a2b23b64e258e501f77f9310641", + "value": 3927 + } + }, + "8ac9314ebcc2408297c3de7238983b16": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8d91d30951834277aa2ac41fc87b05e4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d49e2989c5354b4d883fc6147ea894a9", + "IPY_MODEL_463d941ebef2485ea4380ae58205734b", + "IPY_MODEL_c33962b236ec4f8db097c897bc07b6fc" + ], + "layout": "IPY_MODEL_b28d9338d8f645d19ea8a2d8cd64f3d9" + } + }, + "8e98cc2edf05480e873d22f2e9e06626": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8f03d57c482d4a96b9f401708bf8751a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8f126c9ef66b4729a0bf6a2a5c75185d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_14e176657e634af9bc2710581cf3b2ef", + "placeholder": "​", + "style": "IPY_MODEL_8f1e71ea94c540108396de9bf181247f", + "value": "Downloading data: 100%" + } + }, + "8f1e71ea94c540108396de9bf181247f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8fbe157d1988471c8a35000cbab7d438": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "info", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ef10a92915074a538dcf14979b39df70", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7352178f81bf4bd18e7b27786cf70e61", + "value": 1 + } + }, + "90591ab7c2fb483a93b1ce123f27bded": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "90a72eb87e094bc8b9769b308885ea5e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "914f16e3b566420e8f59ec01b356e0a4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9151c5f2a1634ef7bd868e02cb46392b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "925bc91cc4fe46098c2ba0c1daa0a352": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e974a960982440e09e2ca615366a4bc4", + "placeholder": "​", + "style": "IPY_MODEL_d393c5a7d668479a84584cbf9b80d273", + "value": " 52.7k/52.7k [00:00<00:00, 236kB/s]" + } + }, + "926a36e1816c45108573060a04486d76": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "934569e71be040c3ba605d0d4df4981f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "95bf39b60e024f28873d4b61ad5c2fdc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e85f30d4682d44f48d1da1c90fb64281", + "placeholder": "​", + "style": "IPY_MODEL_f22de4142c2244a5b567f3d6ea50e132", + "value": "Downloading data: 100%" + } + }, + "966e56a27bd142f18a5ebdc2efaa4de8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9743cc1a90ee469eb6dbd1f384711cbb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "981c81cd965c4e7bb4cfe1ba57b918a5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "info", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_efbc214f68f3437daac06b73450bd3ba", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e8d3807f97a74ef0b1814566bd906c1c", + "value": 1 + } + }, + "98a3896cf9c043fdbc8044d59d255170": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "995d7d5ef86e4a4abb9d3865cf9d43cd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "996e9b930ab449edb76979e60e71f04c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9a51475a48024923a5e93f1292238093": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9ad7dc8636c047e9bdd110f09f13559c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8f03d57c482d4a96b9f401708bf8751a", + "placeholder": "​", + "style": "IPY_MODEL_bb36b001f7e54d518c9ec6ebd0586a3c", + "value": "Downloading data: 100%" + } + }, + "9b0e629167c14c7695e7f396b8b4489c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5cdbdcb566aa4bc08578056f8569508d", + "IPY_MODEL_c52cfe32b34e474583e1454c05867130", + "IPY_MODEL_e10d4a0429054cb08bc4f9b4d53d8bcb" + ], + "layout": "IPY_MODEL_d2248e898bf14f2ebf34b200b13e9890" + } + }, + "9cb74bebaa7e4fe2a1d49b0e04f61865": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_525f00b789844438b5234150ced7084d", + "max": 14424, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_31359055e5a84e6aadd016eec566da10", + "value": 14424 + } + }, + "9d27d70f75414cd19c7073b10f56527e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9dc99a2b23b64e258e501f77f9310641": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9ec52dd862f448089b4629198f9470e8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_29e05d90b6864dc7b8fdf737c9a5fbda", + "max": 184990, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e8e8af7e4e2840258315e824a896b54e", + "value": 184990 + } + }, + "9f99df70847c4093a6a05c8deb8572b6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2433807fa394411a9040c993a425e1b4", + "placeholder": "​", + "style": "IPY_MODEL_3da8dc3ed59a4a1d8268a50dcb1bae26", + "value": "Generating other split: " + } + }, + "9fc9cbcd1987499faa1197d01af72baf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "info", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d54c882a714b42c9b3fe81684e3c17e1", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0effee16921744699cfa4ad3af4136ef", + "value": 1 + } + }, + "9fdacb74d2b8494e972e6a9c25c2dddd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a07b3171d6c9448b9df912eae46900d7": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a08c71b1f57e4faea7aaf085331128c7": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a0af686c553c4819b7078532fc4b4076": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a1275b9a43e64111ad055f3a067128c0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a24dcc30489e4e8eb0ce0fc21dbebfd1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9d27d70f75414cd19c7073b10f56527e", + "placeholder": "​", + "style": "IPY_MODEL_35f9001bb958463da1762771b1ef0438", + "value": "Downloading extra modules: 100%" + } + }, + "a2d6b86f09ee44ae9f79f649c172b4e8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3cbdce8cd5b146f2a59b11ec41cf5a94", + "placeholder": "​", + "style": "IPY_MODEL_d6e87a27a5024f24bdac0a1a4ac949b6", + "value": " 185k/185k [00:00<00:00, 275kB/s]" + } + }, + "a2f7e0124e90452fab2fb2dcaef1d018": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_53daaa6abfda46c5ae806db2a4fcb204", + "IPY_MODEL_391dc42c25cd4bb28df82b597458e361", + "IPY_MODEL_2ad5c7704d974532868bc1748f911cf6" + ], + "layout": "IPY_MODEL_eb19c322e5f24a0681c60a345b561a54" + } + }, + "a34d5b7f5ff34feb9828f2cac19504cd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_926a36e1816c45108573060a04486d76", + "max": 12179, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_5fe667e4b1c142b8a712371e9ca04007", + "value": 12179 + } + }, + "a4f617d86dcd4158842d639e3853062c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_28a494023c484c14b5232c8cfcbe890d", + "placeholder": "​", + "style": "IPY_MODEL_e55319c564734cb89e0fdc3bb88f34f9", + "value": "Downloading data: 100%" + } + }, + "a5664ccd8e6040e5b595d30a7ea46590": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "info", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_83f41ef810774d619f8e09feffcd59e8", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4bfe124da40f4648baa5ef729ad55517", + "value": 1 + } + }, + "a62f2098cc89488cb4c6ab3c26fc095d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a705ee4057bc42d1a9d158acc1c23644": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a8acf7d41fb94631a5cc0038211fc2c1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_30f5b7a0fde04f7fba8a40434b7cd824", + "placeholder": "​", + "style": "IPY_MODEL_bc07f486f8d54356bedca8f52e4f89be", + "value": "Downloading data files: 100%" + } + }, + "a8cb8f6c11bb47fe9d1507d0d6c7d227": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a99b8da2604949e6aac115c9170689d7": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a9b843670c8c4036b3ccddb94d4a9e3e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a705ee4057bc42d1a9d158acc1c23644", + "max": 2108, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b80e94b7a09c42a9ac528e8d907fd93e", + "value": 2108 + } + }, + "a9f847a2938641b9a2c70556a30084b4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": null + } + }, + "aad1db0488034fda9f0d4a90767317ef": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "abe9ed3e8ea94bfaa8cc30f29a966efe": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d0ec5d00e0c14ed6b515f9a2770c96d8", + "placeholder": "​", + "style": "IPY_MODEL_3531c025c7174185b5ef6731db57c624", + "value": " 2819/0 [00:17<00:00, 2879.12 examples/s]" + } + }, + "ac33c1ec06b942aebeff4f3ae2a8de25": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "20px" + } + }, + "ad3f067599124e209c3f97e576501877": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "adb6a80797c14660b00eaeb8d6970efc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_32268c28f63c449cac628c5d962fd210", + "max": 90982400, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_90a72eb87e094bc8b9769b308885ea5e", + "value": 90982400 + } + }, + "ade858de51074f558a8cdfd21e78340f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bbf7a8ed01b9419c8c1389584415c40a", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_914f16e3b566420e8f59ec01b356e0a4", + "value": 5 + } + }, + "b28d9338d8f645d19ea8a2d8cd64f3d9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b33c7e56b49c4079a77a0c1d7b0b5917": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b35a61133fbc4a50b711fe82b6082171": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b44e4ebb453a431b8d3e0cd508cf644c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b50b2fbb51b3422cbadfa3548877631f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b5d5c00563b949a88c0ad9ae4e8abbb4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b5e54b1dec144ecca9eeff79f365b39c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b7c3ea021392440290493db1c0da0e7d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8f126c9ef66b4729a0bf6a2a5c75185d", + "IPY_MODEL_a34d5b7f5ff34feb9828f2cac19504cd", + "IPY_MODEL_190b5821c72f4891916d5548f1fc7dc5" + ], + "layout": "IPY_MODEL_996e9b930ab449edb76979e60e71f04c" + } + }, + "b80e94b7a09c42a9ac528e8d907fd93e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "bb36b001f7e54d518c9ec6ebd0586a3c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bbd7d7f6bb6c4680b3f2934a119b6e53": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "bbf7a8ed01b9419c8c1389584415c40a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bc07f486f8d54356bedca8f52e4f89be": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bc3a1f51d166437a9e27d9331f629f67": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "bcae5892522e4f0fa3787c14ef1f76a8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": null + } + }, + "be23de85ecbf43fbb8c9953b67f9acb9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "be268dcb4a534530845c94bb41d10032": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "bead79ab4e184c1e80cf4d569f6f3c98": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bf26c81e97ef423e81cae1199d40df77": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c00fabe81a804d83a707b422618d3a73": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c076931947b54fc1aed587e12b0670dc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c2b81f028f9f48dd931c65096a3cdd50": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_649a2798d4d948bf9fdc80c0d652d409", + "IPY_MODEL_9fc9cbcd1987499faa1197d01af72baf", + "IPY_MODEL_d4f0a45f240f4acc91e1c60fed90d00d" + ], + "layout": "IPY_MODEL_61f2078289874d02abb0b2922b37d858" + } + }, + "c2e91f3c87a645a68d220f52f944aa23": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_9f99df70847c4093a6a05c8deb8572b6", + "IPY_MODEL_8fbe157d1988471c8a35000cbab7d438", + "IPY_MODEL_abe9ed3e8ea94bfaa8cc30f29a966efe" + ], + "layout": "IPY_MODEL_6ec6442d037c4a62b5a1ecaba9432a15" + } + }, + "c33962b236ec4f8db097c897bc07b6fc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b5d5c00563b949a88c0ad9ae4e8abbb4", + "placeholder": "​", + "style": "IPY_MODEL_4f584e4fac054bd1a58eb916facf49ad", + "value": " 581k/581k [00:00<00:00, 26.6MB/s]" + } + }, + "c3b345394dcf488785f8c68dc64677d0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c4154fbc146845958ef82e022ae69123": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c42567385c1e40d99dedd69a140cdb53": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a4f617d86dcd4158842d639e3853062c", + "IPY_MODEL_20c1ba7817134334b4067e9db7d06582", + "IPY_MODEL_7fcda9bba6304a80bd59231523901c1b" + ], + "layout": "IPY_MODEL_205d95c7d9f945a691fb558fe21e8dfb" + } + }, + "c52cfe32b34e474583e1454c05867130": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_64bc83f4257c4d90a5d2ad42866adc88", + "max": 65484800, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ad3f067599124e209c3f97e576501877", + "value": 65484800 + } + }, + "c656523009894383ac2dfac7a10f6748": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c691d2a44fa14a0d975b8ef56e3ae160": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ca6a5137b1b740c0b2c7134c6e3f79e4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7080a11fd5164b7f97c9ec0fe4127fe1", + "placeholder": "​", + "style": "IPY_MODEL_da9b73d222c5408f9f9e3e3e4876db41", + "value": " 1816/0 [00:18<00:00, 2960.99 examples/s]" + } + }, + "cb88adf3f9544a8ab9a088c5b2338660": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "cca9c53b8c984db0b462110a22576753": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ccb6b7821b7346dea1b28fb4e1b93b78": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0e9ca897ebe0448689b91bf1f6dabca8", + "placeholder": "​", + "style": "IPY_MODEL_e1a1118dfa5249acbf492d83b12c8fc8", + "value": " 26%" + } + }, + "cf6ee150490d47f7851bf929509a4d01": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d09fc87b26d343b0a754874cde367641": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d0ec5d00e0c14ed6b515f9a2770c96d8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d0ef68d1c9814421b9bd238f28e56728": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d1154013f241450989c9c781ee97ba89": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_09a36221158f443a96efcabe8836e47f", + "IPY_MODEL_ade858de51074f558a8cdfd21e78340f", + "IPY_MODEL_2c7ee8b4446440e983c5650fed6773a8" + ], + "layout": "IPY_MODEL_d4f051b6f0464b6d8a19eeb7f57de896" + } + }, + "d2248e898bf14f2ebf34b200b13e9890": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d28d552e1bdf47dd9f3c3f5a3bfba564": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d30d50e2207c4592b43bc7dfdd9be105": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a07b3171d6c9448b9df912eae46900d7", + "placeholder": "​", + "style": "IPY_MODEL_aad1db0488034fda9f0d4a90767317ef", + "value": "Downloading data: 100%" + } + }, + "d393c5a7d668479a84584cbf9b80d273": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d446735cdfa14572922b76fc3ae18d29": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_995d7d5ef86e4a4abb9d3865cf9d43cd", + "placeholder": "​", + "style": "IPY_MODEL_d7113594235849f6b53b49bfd3ef6d43", + "value": " 616k/616k [00:00<00:00, 23.8MB/s]" + } + }, + "d49e2989c5354b4d883fc6147ea894a9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c656523009894383ac2dfac7a10f6748", + "placeholder": "​", + "style": "IPY_MODEL_1cdd95f9eb8344088c2a746b010a67cc", + "value": "Downloading data: 100%" + } + }, + "d4adc1308b944601b743ca86baf20a17": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d4f051b6f0464b6d8a19eeb7f57de896": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d4f0a45f240f4acc91e1c60fed90d00d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4dc46d73609d4cf799319373dc0b12c0", + "placeholder": "​", + "style": "IPY_MODEL_3517b076fc6d40049fda00695a0f9a33", + "value": " 2245/0 [00:20<00:00, 2147.79 examples/s]" + } + }, + "d51c451fd1024e7496e4c5328b882345": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7a23dcf2675c46dcbf78afe15d58b062", + "placeholder": "​", + "style": "IPY_MODEL_6d123f8c48b443069775959904b86fe7", + "value": " 14.4k/14.4k [00:00<00:00, 18.3kB/s]" + } + }, + "d54444ede5874f38bd63aabb428a445d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_62f7a4eb906f49e3b83cdc1a97800174", + "placeholder": "​", + "style": "IPY_MODEL_dd6bc468fbdd47c287f4ece34981b478", + "value": "Downloading (…)cial_tokens_map.json: 100%" + } + }, + "d54c882a714b42c9b3fe81684e3c17e1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "20px" + } + }, + "d6e87a27a5024f24bdac0a1a4ac949b6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d7113594235849f6b53b49bfd3ef6d43": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d732f9e1b3d84dd5addb2b6cb6fbdcf2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "d82a83c3e6b149f382d98790423e2b7b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d865ab1ed9664d0da54e5877210450d8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d867b4128b3049f9bf2de203a72544eb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d878822386084b70b8d16a2e88749e57": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d93801c5988f49f399de5ee9e2d44aab": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ea8f7f41b9f2452f8ce7116bd0283e30", + "max": 69713920, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9151c5f2a1634ef7bd868e02cb46392b", + "value": 69713920 + } + }, + "d9b26de07e194767958a242449c59177": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "da9b73d222c5408f9f9e3e3e4876db41": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "dc9730cc95f2417a82379c4f8a87fea9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7b4cb882878046c5b0b95a2e5de4221c", + "IPY_MODEL_a5664ccd8e6040e5b595d30a7ea46590", + "IPY_MODEL_22386e6872404289a4e7ce5df75ebb66" + ], + "layout": "IPY_MODEL_413f0aa7d74248b69d20fbc47c7ff4d4" + } + }, + "dd6bc468fbdd47c287f4ece34981b478": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "dea98f3a03cb4ec7bf0c8e8ab54cec3c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4c526b57a3f243d8af96847bb725581b", + "placeholder": "​", + "style": "IPY_MODEL_09c54b0991db4da9addda3281d8d9dd7", + "value": "Downloading (…)olve/main/merges.txt: 100%" + } + }, + "debfbb1e51c042bb9902af197f5a1a64": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3644aca55ff34c468b9e549eccc4b8f8", + "placeholder": "​", + "style": "IPY_MODEL_32b5f4fac8b346bc867e2cbee298178d", + "value": "Downloading data: 100%" + } + }, + "e0d3b1d6bdb2427dbded9e0f88ebc83f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e10d4a0429054cb08bc4f9b4d53d8bcb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0ebc3f9d68bb4ffca78bec0430db3b71", + "placeholder": "​", + "style": "IPY_MODEL_841bedd894b2466fbb1ae2a27b5b24b7", + "value": " 65.5M/65.5M [00:00<00:00, 85.2MB/s]" + } + }, + "e121fd4d8fef4bd2843d538bc2f56d11": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e1a1118dfa5249acbf492d83b12c8fc8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e22eaf57f974422bbbb4885b1ca06a3b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8471f35dc92e41f38b2d8584051b7082", + "IPY_MODEL_637f16e7b57d4bae884ad2842a89cecd", + "IPY_MODEL_7cda0dee825a4666af88fd65e8cc70b5" + ], + "layout": "IPY_MODEL_934569e71be040c3ba605d0d4df4981f" + } + }, + "e3caf25d89c9424f9d1acfc7c1637d1b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e436b5e010b54fd1a005c6e7b2dbd234", + "max": 493864, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_3cf2f1ebbe7e49cf94350adb8c21f6df", + "value": 493864 + } + }, + "e3e2ce019c2e476a8e78b54537bdeb15": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e436b5e010b54fd1a005c6e7b2dbd234": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e55319c564734cb89e0fdc3bb88f34f9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e6650e5c24a543b1bd1c102d282a4899": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e859bab1e1e04ddb9d9a03d5d18774bc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e85f30d4682d44f48d1da1c90fb64281": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e8d3807f97a74ef0b1814566bd906c1c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e8e8af7e4e2840258315e824a896b54e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e93b180435c74859a880b4a4dd24f724": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e974a960982440e09e2ca615366a4bc4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ea66dfa4d8cd450da917d64f39bb3387": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ea8f7f41b9f2452f8ce7116bd0283e30": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "eb19c322e5f24a0681c60a345b561a54": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ec4ceee85ccc4731ad41aa70674fd5e3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_66ddc1c800394b7ea0688d0c0991aafd", + "placeholder": "​", + "style": "IPY_MODEL_6ff90b29573a4f3498f787a48025280e", + "value": "\nPro Tip: If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. " + } + }, + "ec61fb35896a4b248210f1485c1a5944": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5038053f964345f3ba888ccb6a244a69", + "placeholder": "​", + "style": "IPY_MODEL_966e56a27bd142f18a5ebdc2efaa4de8", + "value": "Downloading extra modules: 100%" + } + }, + "ecc14831b6b94e49901722a798920c67": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ef10a92915074a538dcf14979b39df70": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "20px" + } + }, + "efbc214f68f3437daac06b73450bd3ba": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "20px" + } + }, + "f09ed24860cb41ea950393e9cababdcd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f17fe8f3856144a59e1e0bcef9bca02d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f19fc1eefc194f028d1470cf6a9ee5fc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f1d3d91f75534b4a8fb34e31fd35b1b5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f2294fdb5aa449e0b264cf0015ca226c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2fe65aac7c41463985f7ea93a2a554ad", + "placeholder": "​", + "style": "IPY_MODEL_05192de324f347eaacc3776192c99605", + "value": "

Copy a token from your Hugging Face\ntokens page and paste it below.
Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file.
" + } + }, + "f22de4142c2244a5b567f3d6ea50e132": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f2aa73c616c74158ab174d575d621da2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f3ad38f58e6842f393fcf92c1b0fb2f0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_12d5cdce4d354066837518c45a38d41e", + "max": 1036558, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_4e14e51c758e403bbe683dba419eac64", + "value": 1036558 + } + }, + "f3d27f201e274d80be2ed0f6811269c0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f4bc5311892541c58d3e7b204ea66496": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bead79ab4e184c1e80cf4d569f6f3c98", + "max": 789029, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0aef1461c47f486c8146b0c54516a224", + "value": 789029 + } + }, + "f4c8838d4c9d4a63ad32b3ee583cf867": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "CheckboxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "CheckboxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "CheckboxView", + "description": "Add token as git credential?", + "description_tooltip": null, + "disabled": false, + "indent": true, + "layout": "IPY_MODEL_8685c8cce94b4946ac3be661b3b1972f", + "style": "IPY_MODEL_4c22531fcf4841bf80c84a4f8ece411a", + "value": true + } + }, + "f537be799d564051a8874d2908a8f17e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_122ffb7f657144958237605e3a814ef0", + "IPY_MODEL_981c81cd965c4e7bb4cfe1ba57b918a5", + "IPY_MODEL_ca6a5137b1b740c0b2c7134c6e3f79e4" + ], + "layout": "IPY_MODEL_a9f847a2938641b9a2c70556a30084b4" + } + }, + "f5b96af5387b4c98bcdcdd2d4cdce282": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f7c32912e9f646b7a530823559f18720": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f875eb66a0b1420cbc65ecce2c80b3ca": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f883f3606a254ef69e40cc795599a83e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9fdacb74d2b8494e972e6a9c25c2dddd", + "max": 82298880, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_2587a4537680434cb60999495be24ce1", + "value": 82298880 + } + }, + "fabc0fbdda1d4a5bb6a11e33df9f987b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_dea98f3a03cb4ec7bf0c8e8ab54cec3c", + "IPY_MODEL_e3caf25d89c9424f9d1acfc7c1637d1b", + "IPY_MODEL_0c605256d6e54ce79869935aaa61be4a" + ], + "layout": "IPY_MODEL_be23de85ecbf43fbb8c9953b67f9acb9" + } + }, + "ff9b8c43a1184b0cba09f909b2b8faca": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_141d2d0730de4405836f1801d2960cb1", + "placeholder": "​", + "style": "IPY_MODEL_889b3c2194c342cbb08460afd595f2f9", + "value": " 789k/789k [00:00<00:00, 29.6MB/s]" + } + } + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/apps/whisper_fine_tuning/poetry.lock b/apps/whisper_fine_tuning/poetry.lock new file mode 100644 index 0000000..6680233 --- /dev/null +++ b/apps/whisper_fine_tuning/poetry.lock @@ -0,0 +1,7945 @@ +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. + +[[package]] +name = "accelerate" +version = "1.10.1" +description = "Accelerate" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11"}, + {file = "accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8"}, +] + +[package.dependencies] +huggingface_hub = ">=0.21.0" +numpy = ">=1.17,<3.0.0" +packaging = ">=20.0" +psutil = "*" +pyyaml = "*" +safetensors = ">=0.4.3" +torch = ">=2.0.0" + +[package.extras] +deepspeed = ["deepspeed"] +dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"] +rich = ["rich"] +sagemaker = ["sagemaker"] +test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +test-fp8 = ["torchao"] +test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"] +test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "swanlab", "tensorboard", "trackio", "wandb"] +testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"] + +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.6.1" +description = "Happy Eyeballs for asyncio" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, + {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, +] + +[[package]] +name = "aiohttp" +version = "3.12.15" +description = "Async http client/server framework (asyncio)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "aiohttp-3.12.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b6fc902bff74d9b1879ad55f5404153e2b33a82e72a95c89cec5eb6cc9e92fbc"}, + {file = "aiohttp-3.12.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:098e92835b8119b54c693f2f88a1dec690e20798ca5f5fe5f0520245253ee0af"}, + {file = "aiohttp-3.12.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:40b3fee496a47c3b4a39a731954c06f0bd9bd3e8258c059a4beb76ac23f8e421"}, + {file = "aiohttp-3.12.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ce13fcfb0bb2f259fb42106cdc63fa5515fb85b7e87177267d89a771a660b79"}, + {file = "aiohttp-3.12.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3beb14f053222b391bf9cf92ae82e0171067cc9c8f52453a0f1ec7c37df12a77"}, + {file = "aiohttp-3.12.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4c39e87afe48aa3e814cac5f535bc6199180a53e38d3f51c5e2530f5aa4ec58c"}, + {file = "aiohttp-3.12.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5f1b4ce5bc528a6ee38dbf5f39bbf11dd127048726323b72b8e85769319ffc4"}, + {file = "aiohttp-3.12.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1004e67962efabbaf3f03b11b4c43b834081c9e3f9b32b16a7d97d4708a9abe6"}, + {file = "aiohttp-3.12.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8faa08fcc2e411f7ab91d1541d9d597d3a90e9004180edb2072238c085eac8c2"}, + {file = "aiohttp-3.12.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:fe086edf38b2222328cdf89af0dde2439ee173b8ad7cb659b4e4c6f385b2be3d"}, + {file = "aiohttp-3.12.15-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:79b26fe467219add81d5e47b4a4ba0f2394e8b7c7c3198ed36609f9ba161aecb"}, + {file = "aiohttp-3.12.15-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:b761bac1192ef24e16706d761aefcb581438b34b13a2f069a6d343ec8fb693a5"}, + {file = "aiohttp-3.12.15-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:e153e8adacfe2af562861b72f8bc47f8a5c08e010ac94eebbe33dc21d677cd5b"}, + {file = "aiohttp-3.12.15-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:fc49c4de44977aa8601a00edbf157e9a421f227aa7eb477d9e3df48343311065"}, + {file = "aiohttp-3.12.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2776c7ec89c54a47029940177e75c8c07c29c66f73464784971d6a81904ce9d1"}, + {file = "aiohttp-3.12.15-cp310-cp310-win32.whl", hash = "sha256:2c7d81a277fa78b2203ab626ced1487420e8c11a8e373707ab72d189fcdad20a"}, + {file = "aiohttp-3.12.15-cp310-cp310-win_amd64.whl", hash = "sha256:83603f881e11f0f710f8e2327817c82e79431ec976448839f3cd05d7afe8f830"}, + {file = "aiohttp-3.12.15-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d3ce17ce0220383a0f9ea07175eeaa6aa13ae5a41f30bc61d84df17f0e9b1117"}, + {file = "aiohttp-3.12.15-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:010cc9bbd06db80fe234d9003f67e97a10fe003bfbedb40da7d71c1008eda0fe"}, + {file = "aiohttp-3.12.15-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3f9d7c55b41ed687b9d7165b17672340187f87a773c98236c987f08c858145a9"}, + {file = "aiohttp-3.12.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc4fbc61bb3548d3b482f9ac7ddd0f18c67e4225aaa4e8552b9f1ac7e6bda9e5"}, + {file = "aiohttp-3.12.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:7fbc8a7c410bb3ad5d595bb7118147dfbb6449d862cc1125cf8867cb337e8728"}, + {file = "aiohttp-3.12.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:74dad41b3458dbb0511e760fb355bb0b6689e0630de8a22b1b62a98777136e16"}, + {file = "aiohttp-3.12.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b6f0af863cf17e6222b1735a756d664159e58855da99cfe965134a3ff63b0b0"}, + {file = "aiohttp-3.12.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b5b7fe4972d48a4da367043b8e023fb70a04d1490aa7d68800e465d1b97e493b"}, + {file = "aiohttp-3.12.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6443cca89553b7a5485331bc9bedb2342b08d073fa10b8c7d1c60579c4a7b9bd"}, + {file = "aiohttp-3.12.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6c5f40ec615e5264f44b4282ee27628cea221fcad52f27405b80abb346d9f3f8"}, + {file = "aiohttp-3.12.15-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:2abbb216a1d3a2fe86dbd2edce20cdc5e9ad0be6378455b05ec7f77361b3ab50"}, + {file = "aiohttp-3.12.15-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:db71ce547012a5420a39c1b744d485cfb823564d01d5d20805977f5ea1345676"}, + {file = "aiohttp-3.12.15-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:ced339d7c9b5030abad5854aa5413a77565e5b6e6248ff927d3e174baf3badf7"}, + {file = "aiohttp-3.12.15-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:7c7dd29c7b5bda137464dc9bfc738d7ceea46ff70309859ffde8c022e9b08ba7"}, + {file = "aiohttp-3.12.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:421da6fd326460517873274875c6c5a18ff225b40da2616083c5a34a7570b685"}, + {file = "aiohttp-3.12.15-cp311-cp311-win32.whl", hash = "sha256:4420cf9d179ec8dfe4be10e7d0fe47d6d606485512ea2265b0d8c5113372771b"}, + {file = "aiohttp-3.12.15-cp311-cp311-win_amd64.whl", hash = "sha256:edd533a07da85baa4b423ee8839e3e91681c7bfa19b04260a469ee94b778bf6d"}, + {file = "aiohttp-3.12.15-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:802d3868f5776e28f7bf69d349c26fc0efadb81676d0afa88ed00d98a26340b7"}, + {file = "aiohttp-3.12.15-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f2800614cd560287be05e33a679638e586a2d7401f4ddf99e304d98878c29444"}, + {file = "aiohttp-3.12.15-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8466151554b593909d30a0a125d638b4e5f3836e5aecde85b66b80ded1cb5b0d"}, + {file = "aiohttp-3.12.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e5a495cb1be69dae4b08f35a6c4579c539e9b5706f606632102c0f855bcba7c"}, + {file = "aiohttp-3.12.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:6404dfc8cdde35c69aaa489bb3542fb86ef215fc70277c892be8af540e5e21c0"}, + {file = "aiohttp-3.12.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3ead1c00f8521a5c9070fcb88f02967b1d8a0544e6d85c253f6968b785e1a2ab"}, + {file = "aiohttp-3.12.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6990ef617f14450bc6b34941dba4f12d5613cbf4e33805932f853fbd1cf18bfb"}, + {file = "aiohttp-3.12.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd736ed420f4db2b8148b52b46b88ed038d0354255f9a73196b7bbce3ea97545"}, + {file = "aiohttp-3.12.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c5092ce14361a73086b90c6efb3948ffa5be2f5b6fbcf52e8d8c8b8848bb97c"}, + {file = "aiohttp-3.12.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:aaa2234bb60c4dbf82893e934d8ee8dea30446f0647e024074237a56a08c01bd"}, + {file = "aiohttp-3.12.15-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:6d86a2fbdd14192e2f234a92d3b494dd4457e683ba07e5905a0b3ee25389ac9f"}, + {file = "aiohttp-3.12.15-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a041e7e2612041a6ddf1c6a33b883be6a421247c7afd47e885969ee4cc58bd8d"}, + {file = "aiohttp-3.12.15-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5015082477abeafad7203757ae44299a610e89ee82a1503e3d4184e6bafdd519"}, + {file = "aiohttp-3.12.15-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:56822ff5ddfd1b745534e658faba944012346184fbfe732e0d6134b744516eea"}, + {file = "aiohttp-3.12.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b2acbbfff69019d9014508c4ba0401822e8bae5a5fdc3b6814285b71231b60f3"}, + {file = "aiohttp-3.12.15-cp312-cp312-win32.whl", hash = "sha256:d849b0901b50f2185874b9a232f38e26b9b3d4810095a7572eacea939132d4e1"}, + {file = "aiohttp-3.12.15-cp312-cp312-win_amd64.whl", hash = "sha256:b390ef5f62bb508a9d67cb3bba9b8356e23b3996da7062f1a57ce1a79d2b3d34"}, + {file = "aiohttp-3.12.15-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:9f922ffd05034d439dde1c77a20461cf4a1b0831e6caa26151fe7aa8aaebc315"}, + {file = "aiohttp-3.12.15-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2ee8a8ac39ce45f3e55663891d4b1d15598c157b4d494a4613e704c8b43112cd"}, + {file = "aiohttp-3.12.15-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3eae49032c29d356b94eee45a3f39fdf4b0814b397638c2f718e96cfadf4c4e4"}, + {file = "aiohttp-3.12.15-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b97752ff12cc12f46a9b20327104448042fce5c33a624f88c18f66f9368091c7"}, + {file = "aiohttp-3.12.15-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:894261472691d6fe76ebb7fcf2e5870a2ac284c7406ddc95823c8598a1390f0d"}, + {file = "aiohttp-3.12.15-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5fa5d9eb82ce98959fc1031c28198b431b4d9396894f385cb63f1e2f3f20ca6b"}, + {file = "aiohttp-3.12.15-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0fa751efb11a541f57db59c1dd821bec09031e01452b2b6217319b3a1f34f3d"}, + {file = "aiohttp-3.12.15-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5346b93e62ab51ee2a9d68e8f73c7cf96ffb73568a23e683f931e52450e4148d"}, + {file = "aiohttp-3.12.15-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:049ec0360f939cd164ecbfd2873eaa432613d5e77d6b04535e3d1fbae5a9e645"}, + {file = "aiohttp-3.12.15-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:b52dcf013b57464b6d1e51b627adfd69a8053e84b7103a7cd49c030f9ca44461"}, + {file = "aiohttp-3.12.15-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:9b2af240143dd2765e0fb661fd0361a1b469cab235039ea57663cda087250ea9"}, + {file = "aiohttp-3.12.15-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ac77f709a2cde2cc71257ab2d8c74dd157c67a0558a0d2799d5d571b4c63d44d"}, + {file = "aiohttp-3.12.15-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:47f6b962246f0a774fbd3b6b7be25d59b06fdb2f164cf2513097998fc6a29693"}, + {file = "aiohttp-3.12.15-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:760fb7db442f284996e39cf9915a94492e1896baac44f06ae551974907922b64"}, + {file = "aiohttp-3.12.15-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ad702e57dc385cae679c39d318def49aef754455f237499d5b99bea4ef582e51"}, + {file = "aiohttp-3.12.15-cp313-cp313-win32.whl", hash = "sha256:f813c3e9032331024de2eb2e32a88d86afb69291fbc37a3a3ae81cc9917fb3d0"}, + {file = "aiohttp-3.12.15-cp313-cp313-win_amd64.whl", hash = "sha256:1a649001580bdb37c6fdb1bebbd7e3bc688e8ec2b5c6f52edbb664662b17dc84"}, + {file = "aiohttp-3.12.15-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:691d203c2bdf4f4637792efbbcdcd157ae11e55eaeb5e9c360c1206fb03d4d98"}, + {file = "aiohttp-3.12.15-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8e995e1abc4ed2a454c731385bf4082be06f875822adc4c6d9eaadf96e20d406"}, + {file = "aiohttp-3.12.15-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:bd44d5936ab3193c617bfd6c9a7d8d1085a8dc8c3f44d5f1dcf554d17d04cf7d"}, + {file = "aiohttp-3.12.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46749be6e89cd78d6068cdf7da51dbcfa4321147ab8e4116ee6678d9a056a0cf"}, + {file = "aiohttp-3.12.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:0c643f4d75adea39e92c0f01b3fb83d57abdec8c9279b3078b68a3a52b3933b6"}, + {file = "aiohttp-3.12.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0a23918fedc05806966a2438489dcffccbdf83e921a1170773b6178d04ade142"}, + {file = "aiohttp-3.12.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:74bdd8c864b36c3673741023343565d95bfbd778ffe1eb4d412c135a28a8dc89"}, + {file = "aiohttp-3.12.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a146708808c9b7a988a4af3821379e379e0f0e5e466ca31a73dbdd0325b0263"}, + {file = "aiohttp-3.12.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7011a70b56facde58d6d26da4fec3280cc8e2a78c714c96b7a01a87930a9530"}, + {file = "aiohttp-3.12.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:3bdd6e17e16e1dbd3db74d7f989e8af29c4d2e025f9828e6ef45fbdee158ec75"}, + {file = "aiohttp-3.12.15-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:57d16590a351dfc914670bd72530fd78344b885a00b250e992faea565b7fdc05"}, + {file = "aiohttp-3.12.15-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:bc9a0f6569ff990e0bbd75506c8d8fe7214c8f6579cca32f0546e54372a3bb54"}, + {file = "aiohttp-3.12.15-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:536ad7234747a37e50e7b6794ea868833d5220b49c92806ae2d7e8a9d6b5de02"}, + {file = "aiohttp-3.12.15-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:f0adb4177fa748072546fb650d9bd7398caaf0e15b370ed3317280b13f4083b0"}, + {file = "aiohttp-3.12.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:14954a2988feae3987f1eb49c706bff39947605f4b6fa4027c1d75743723eb09"}, + {file = "aiohttp-3.12.15-cp39-cp39-win32.whl", hash = "sha256:b784d6ed757f27574dca1c336f968f4e81130b27595e458e69457e6878251f5d"}, + {file = "aiohttp-3.12.15-cp39-cp39-win_amd64.whl", hash = "sha256:86ceded4e78a992f835209e236617bffae649371c4a50d5e5a3987f237db84b8"}, + {file = "aiohttp-3.12.15.tar.gz", hash = "sha256:4fc61385e9c98d72fcdf47e6dd81833f47b2f77c114c29cd64a361be57a763a2"}, +] + +[package.dependencies] +aiohappyeyeballs = ">=2.5.0" +aiosignal = ">=1.4.0" +attrs = ">=17.3.0" +frozenlist = ">=1.1.1" +multidict = ">=4.5,<7.0" +propcache = ">=0.2.0" +yarl = ">=1.17.0,<2.0" + +[package.extras] +speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""] + +[[package]] +name = "aiosignal" +version = "1.4.0" +description = "aiosignal: a list of registered asynchronous callbacks" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, + {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, +] + +[package.dependencies] +frozenlist = ">=1.1.0" +typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} + +[[package]] +name = "alembic" +version = "1.16.5" +description = "A database migration tool for SQLAlchemy." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "alembic-1.16.5-py3-none-any.whl", hash = "sha256:e845dfe090c5ffa7b92593ae6687c5cb1a101e91fa53868497dbd79847f9dbe3"}, + {file = "alembic-1.16.5.tar.gz", hash = "sha256:a88bb7f6e513bd4301ecf4c7f2206fe93f9913f9b48dac3b78babde2d6fe765e"}, +] + +[package.dependencies] +Mako = "*" +SQLAlchemy = ">=1.4.0" +typing-extensions = ">=4.12" + +[package.extras] +tz = ["tzdata"] + +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + +[[package]] +name = "anyio" +version = "4.10.0" +description = "High-level concurrency and networking framework on top of asyncio or Trio" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1"}, + {file = "anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6"}, +] + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" +typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} + +[package.extras] +trio = ["trio (>=0.26.1)"] + +[[package]] +name = "appnope" +version = "0.1.4" +description = "Disable App Nap on macOS >= 10.9" +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "platform_system == \"Darwin\"" +files = [ + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, +] + +[[package]] +name = "argon2-cffi" +version = "25.1.0" +description = "Argon2 for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741"}, + {file = "argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1"}, +] + +[package.dependencies] +argon2-cffi-bindings = "*" + +[[package]] +name = "argon2-cffi-bindings" +version = "25.1.0" +description = "Low-level CFFI bindings for Argon2" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6"}, + {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98"}, + {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94"}, + {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6dca33a9859abf613e22733131fc9194091c1fa7cb3e131c143056b4856aa47e"}, + {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:21378b40e1b8d1655dd5310c84a40fc19a9aa5e6366e835ceb8576bf0fea716d"}, + {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d588dec224e2a83edbdc785a5e6f3c6cd736f46bfd4b441bbb5aa1f5085e584"}, + {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5acb4e41090d53f17ca1110c3427f0a130f944b896fc8c83973219c97f57b690"}, + {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:da0c79c23a63723aa5d782250fbf51b768abca630285262fb5144ba5ae01e520"}, + {file = "argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d"}, +] + +[package.dependencies] +cffi = [ + {version = ">=1.0.1", markers = "python_version < \"3.14\""}, + {version = ">=2.0.0b1", markers = "python_version >= \"3.14\""}, +] + +[[package]] +name = "arrow" +version = "1.3.0" +description = "Better dates & times for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, + {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, +] + +[package.dependencies] +python-dateutil = ">=2.7.0" +types-python-dateutil = ">=2.8.10" + +[package.extras] +doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] +test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"] + +[[package]] +name = "asgiref" +version = "3.10.0" +description = "ASGI specs, helper code, and adapters" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "asgiref-3.10.0-py3-none-any.whl", hash = "sha256:aef8a81283a34d0ab31630c9b7dfe70c812c95eba78171367ca8745e88124734"}, + {file = "asgiref-3.10.0.tar.gz", hash = "sha256:d89f2d8cd8b56dada7d52fa7dc8075baa08fb836560710d38c292a7a3f78c04e"}, +] + +[package.extras] +tests = ["mypy (>=1.14.0)", "pytest", "pytest-asyncio"] + +[[package]] +name = "asttokens" +version = "3.0.0" +description = "Annotate AST trees with source code positions" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"}, + {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"}, +] + +[package.extras] +astroid = ["astroid (>=2,<4)"] +test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"] + +[[package]] +name = "async-lru" +version = "2.0.5" +description = "Simple LRU cache for asyncio" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943"}, + {file = "async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb"}, +] + +[[package]] +name = "attrs" +version = "25.3.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, + {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, +] + +[package.extras] +benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"] +tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""] + +[[package]] +name = "audioop-lts" +version = "0.2.2" +description = "LTS Port of Python audioop" +optional = false +python-versions = ">=3.13" +groups = ["main"] +markers = "python_version >= \"3.13\"" +files = [ + {file = "audioop_lts-0.2.2-cp313-abi3-macosx_10_13_universal2.whl", hash = "sha256:fd3d4602dc64914d462924a08c1a9816435a2155d74f325853c1f1ac3b2d9800"}, + {file = "audioop_lts-0.2.2-cp313-abi3-macosx_10_13_x86_64.whl", hash = "sha256:550c114a8df0aafe9a05442a1162dfc8fec37e9af1d625ae6060fed6e756f303"}, + {file = "audioop_lts-0.2.2-cp313-abi3-macosx_11_0_arm64.whl", hash = "sha256:9a13dc409f2564de15dd68be65b462ba0dde01b19663720c68c1140c782d1d75"}, + {file = "audioop_lts-0.2.2-cp313-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:51c916108c56aa6e426ce611946f901badac950ee2ddaf302b7ed35d9958970d"}, + {file = "audioop_lts-0.2.2-cp313-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:47eba38322370347b1c47024defbd36374a211e8dd5b0dcbce7b34fdb6f8847b"}, + {file = "audioop_lts-0.2.2-cp313-abi3-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ba7c3a7e5f23e215cb271516197030c32aef2e754252c4c70a50aaff7031a2c8"}, + {file = "audioop_lts-0.2.2-cp313-abi3-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:def246fe9e180626731b26e89816e79aae2276f825420a07b4a647abaa84becc"}, + {file = "audioop_lts-0.2.2-cp313-abi3-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e160bf9df356d841bb6c180eeeea1834085464626dc1b68fa4e1d59070affdc3"}, + {file = "audioop_lts-0.2.2-cp313-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:4b4cd51a57b698b2d06cb9993b7ac8dfe89a3b2878e96bc7948e9f19ff51dba6"}, + {file = "audioop_lts-0.2.2-cp313-abi3-musllinux_1_2_ppc64le.whl", hash = "sha256:4a53aa7c16a60a6857e6b0b165261436396ef7293f8b5c9c828a3a203147ed4a"}, + {file = "audioop_lts-0.2.2-cp313-abi3-musllinux_1_2_riscv64.whl", hash = "sha256:3fc38008969796f0f689f1453722a0f463da1b8a6fbee11987830bfbb664f623"}, + {file = "audioop_lts-0.2.2-cp313-abi3-musllinux_1_2_s390x.whl", hash = "sha256:15ab25dd3e620790f40e9ead897f91e79c0d3ce65fe193c8ed6c26cffdd24be7"}, + {file = "audioop_lts-0.2.2-cp313-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:03f061a1915538fd96272bac9551841859dbb2e3bf73ebe4a23ef043766f5449"}, + {file = "audioop_lts-0.2.2-cp313-abi3-win32.whl", hash = "sha256:3bcddaaf6cc5935a300a8387c99f7a7fbbe212a11568ec6cf6e4bc458c048636"}, + {file = "audioop_lts-0.2.2-cp313-abi3-win_amd64.whl", hash = "sha256:a2c2a947fae7d1062ef08c4e369e0ba2086049a5e598fda41122535557012e9e"}, + {file = "audioop_lts-0.2.2-cp313-abi3-win_arm64.whl", hash = "sha256:5f93a5db13927a37d2d09637ccca4b2b6b48c19cd9eda7b17a2e9f77edee6a6f"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:73f80bf4cd5d2ca7814da30a120de1f9408ee0619cc75da87d0641273d202a09"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:106753a83a25ee4d6f473f2be6b0966fc1c9af7e0017192f5531a3e7463dce58"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fbdd522624141e40948ab3e8cdae6e04c748d78710e9f0f8d4dae2750831de19"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:143fad0311e8209ece30a8dbddab3b65ab419cbe8c0dde6e8828da25999be911"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:dfbbc74ec68a0fd08cfec1f4b5e8cca3d3cd7de5501b01c4b5d209995033cde9"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:cfcac6aa6f42397471e4943e0feb2244549db5c5d01efcd02725b96af417f3fe"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:752d76472d9804ac60f0078c79cdae8b956f293177acd2316cd1e15149aee132"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:83c381767e2cc10e93e40281a04852facc4cd9334550e0f392f72d1c0a9c5753"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c0022283e9556e0f3643b7c3c03f05063ca72b3063291834cca43234f20c60bb"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:a2d4f1513d63c795e82948e1305f31a6d530626e5f9f2605408b300ae6095093"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:c9c8e68d8b4a56fda8c025e538e639f8c5953f5073886b596c93ec9b620055e7"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:96f19de485a2925314f5020e85911fb447ff5fbef56e8c7c6927851b95533a1c"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e541c3ef484852ef36545f66209444c48b28661e864ccadb29daddb6a4b8e5f5"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-win32.whl", hash = "sha256:d5e73fa573e273e4f2e5ff96f9043858a5e9311e94ffefd88a3186a910c70917"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:9191d68659eda01e448188f60364c7763a7ca6653ed3f87ebb165822153a8547"}, + {file = "audioop_lts-0.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:c174e322bb5783c099aaf87faeb240c8d210686b04bd61dfd05a8e5a83d88969"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:f9ee9b52f5f857fbaf9d605a360884f034c92c1c23021fb90b2e39b8e64bede6"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:49ee1a41738a23e98d98b937a0638357a2477bc99e61b0f768a8f654f45d9b7a"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:5b00be98ccd0fc123dcfad31d50030d25fcf31488cde9e61692029cd7394733b"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a6d2e0f9f7a69403e388894d4ca5ada5c47230716a03f2847cfc7bd1ecb589d6"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f9b0b8a03ef474f56d1a842af1a2e01398b8f7654009823c6d9e0ecff4d5cfbf"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2b267b70747d82125f1a021506565bdc5609a2b24bcb4773c16d79d2bb260bbd"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0337d658f9b81f4cd0fdb1f47635070cc084871a3d4646d9de74fdf4e7c3d24a"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:167d3b62586faef8b6b2275c3218796b12621a60e43f7e9d5845d627b9c9b80e"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:0d9385e96f9f6da847f4d571ce3cb15b5091140edf3db97276872647ce37efd7"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:48159d96962674eccdca9a3df280e864e8ac75e40a577cc97c5c42667ffabfc5"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:8fefe5868cd082db1186f2837d64cfbfa78b548ea0d0543e9b28935ccce81ce9"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:58cf54380c3884fb49fdd37dfb7a772632b6701d28edd3e2904743c5e1773602"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:088327f00488cdeed296edd9215ca159f3a5a5034741465789cad403fcf4bec0"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-win32.whl", hash = "sha256:068aa17a38b4e0e7de771c62c60bbca2455924b67a8814f3b0dee92b5820c0b3"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:a5bf613e96f49712073de86f20dbdd4014ca18efd4d34ed18c75bd808337851b"}, + {file = "audioop_lts-0.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:b492c3b040153e68b9fdaff5913305aaaba5bb433d8a7f73d5cf6a64ed3cc1dd"}, + {file = "audioop_lts-0.2.2.tar.gz", hash = "sha256:64d0c62d88e67b98a1a5e71987b7aa7b5bcffc7dcee65b635823dbdd0a8dbbd0"}, +] + +[[package]] +name = "audioread" +version = "3.0.1" +description = "Multi-library, cross-platform audio decoding." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "audioread-3.0.1-py3-none-any.whl", hash = "sha256:4cdce70b8adc0da0a3c9e0d85fb10b3ace30fbdf8d1670fd443929b61d117c33"}, + {file = "audioread-3.0.1.tar.gz", hash = "sha256:ac5460a5498c48bdf2e8e767402583a4dcd13f4414d286f42ce4379e8b35066d"}, +] + +[package.extras] +test = ["tox"] + +[[package]] +name = "azure-common" +version = "1.1.28" +description = "Microsoft Azure Client Library for Python (Common)" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"}, + {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"}, +] + +[[package]] +name = "azure-core" +version = "1.35.1" +description = "Microsoft Azure Core Library for Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "azure_core-1.35.1-py3-none-any.whl", hash = "sha256:12da0c9e08e48e198f9158b56ddbe33b421477e1dc98c2e1c8f9e254d92c468b"}, + {file = "azure_core-1.35.1.tar.gz", hash = "sha256:435d05d6df0fff2f73fb3c15493bb4721ede14203f1ff1382aa6b6b2bdd7e562"}, +] + +[package.dependencies] +requests = ">=2.21.0" +six = ">=1.11.0" +typing-extensions = ">=4.6.0" + +[package.extras] +aio = ["aiohttp (>=3.0)"] +tracing = ["opentelemetry-api (>=1.26,<2.0)"] + +[[package]] +name = "azure-identity" +version = "1.25.0" +description = "Microsoft Azure Identity Library for Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "azure_identity-1.25.0-py3-none-any.whl", hash = "sha256:becaec086bbdf8d1a6aa4fb080c2772a0f824a97d50c29637ec8cc4933f1e82d"}, + {file = "azure_identity-1.25.0.tar.gz", hash = "sha256:4177df34d684cddc026e6cf684e1abb57767aa9d84e7f2129b080ec45eee7733"}, +] + +[package.dependencies] +azure-core = ">=1.31.0" +cryptography = ">=2.5" +msal = ">=1.30.0" +msal-extensions = ">=1.2.0" +typing-extensions = ">=4.0.0" + +[[package]] +name = "azure-mgmt-core" +version = "1.6.0" +description = "Microsoft Azure Management Core Library for Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "azure_mgmt_core-1.6.0-py3-none-any.whl", hash = "sha256:0460d11e85c408b71c727ee1981f74432bc641bb25dfcf1bb4e90a49e776dbc4"}, + {file = "azure_mgmt_core-1.6.0.tar.gz", hash = "sha256:b26232af857b021e61d813d9f4ae530465255cb10b3dde945ad3743f7a58e79c"}, +] + +[package.dependencies] +azure-core = ">=1.32.0" + +[[package]] +name = "azure-storage-blob" +version = "12.19.0" +description = "Microsoft Azure Blob Storage Client Library for Python" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "azure-storage-blob-12.19.0.tar.gz", hash = "sha256:26c0a4320a34a3c2a1b74528ba6812ebcb632a04cd67b1c7377232c4b01a5897"}, + {file = "azure_storage_blob-12.19.0-py3-none-any.whl", hash = "sha256:7bbc2c9c16678f7a420367fef6b172ba8730a7e66df7f4d7a55d5b3c8216615b"}, +] + +[package.dependencies] +azure-core = ">=1.28.0,<2.0.0" +cryptography = ">=2.1.4" +isodate = ">=0.6.1" +typing-extensions = ">=4.3.0" + +[package.extras] +aio = ["azure-core[aio] (>=1.28.0,<2.0.0)"] + +[[package]] +name = "azureml-mlflow" +version = "1.60.0.post1" +description = "Contains the integration code of AzureML with Mlflow." +optional = false +python-versions = "<4.0,>=3.8" +groups = ["main"] +files = [ + {file = "azureml_mlflow-1.60.0.post1-py3-none-any.whl", hash = "sha256:2de4039ef1ac9e3a959ccd090af42cf265b71fdb44492e10b6912bc2383262f2"}, +] + +[package.dependencies] +azure-common = ">=1.1,<2.0.0" +azure-core = ">=1.8.0,<1.22.0 || >1.22.0,<2.0.0" +azure-identity = "*" +azure-mgmt-core = ">=1.2.0,<2.0.0" +azure-storage-blob = ">=12.5.0,<=12.19.0" +cryptography = "*" +jsonpickle = "<5.0.0" +mlflow-skinny = "<3.0.0" +msrest = ">=0.6.18" +python-dateutil = ">=2.7.3,<3.0.0" +pytz = "*" + +[package.extras] +deployments = ["flask", "numpy", "pandas"] + +[[package]] +name = "babel" +version = "2.17.0" +description = "Internationalization utilities" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"}, + {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"}, +] + +[package.extras] +dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""] + +[[package]] +name = "beautifulsoup4" +version = "4.13.5" +description = "Screen-scraping library" +optional = false +python-versions = ">=3.7.0" +groups = ["main"] +files = [ + {file = "beautifulsoup4-4.13.5-py3-none-any.whl", hash = "sha256:642085eaa22233aceadff9c69651bc51e8bf3f874fb6d7104ece2beb24b47c4a"}, + {file = "beautifulsoup4-4.13.5.tar.gz", hash = "sha256:5e70131382930e7c3de33450a2f54a63d5e4b19386eab43a5b34d594268f3695"}, +] + +[package.dependencies] +soupsieve = ">1.2" +typing-extensions = ">=4.0.0" + +[package.extras] +cchardet = ["cchardet"] +chardet = ["chardet"] +charset-normalizer = ["charset-normalizer"] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "bitsandbytes" +version = "0.47.0" +description = "k-bit optimizers and matrix multiplication routines." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "bitsandbytes-0.47.0-py3-none-manylinux_2_24_aarch64.whl", hash = "sha256:2f805b76891a596025e9e13318b675d08481b9ee650d65e5d2f9d844084c6521"}, + {file = "bitsandbytes-0.47.0-py3-none-manylinux_2_24_x86_64.whl", hash = "sha256:68f3fffd494a47ed1fd7593bfc5dd2ac69b68260599b71b4c4b3a32f90f3b184"}, + {file = "bitsandbytes-0.47.0-py3-none-win_amd64.whl", hash = "sha256:4880a6d42ca9628b5a571c8cc3093dc3f5f52511e5a9e47d52d569807975531a"}, +] + +[package.dependencies] +numpy = ">=1.17" +torch = ">=2.2,<3" + +[package.extras] +benchmark = ["matplotlib", "pandas"] +dev = ["bitsandbytes[test]", "build (>=1.0.0,<2)", "pre-commit (>=3.5.0,<4)", "ruff (==0.11.2)", "wheel (>=0.42,<1)"] +docs = ["hf-doc-builder (==0.5.0)"] +test = ["einops (>=0.8.0,<0.9.0)", "lion-pytorch (==0.2.3)", "pytest (>=8.3,<9.0)", "scipy (>=1.11.4,<2) ; python_version >= \"3.9\"", "transformers (>=4.30.1,<5)"] + +[[package]] +name = "black" +version = "25.1.0" +description = "The uncompromising code formatter." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "black-25.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:759e7ec1e050a15f89b770cefbf91ebee8917aac5c20483bc2d80a6c3a04df32"}, + {file = "black-25.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e519ecf93120f34243e6b0054db49c00a35f84f195d5bce7e9f5cfc578fc2da"}, + {file = "black-25.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:055e59b198df7ac0b7efca5ad7ff2516bca343276c466be72eb04a3bcc1f82d7"}, + {file = "black-25.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:db8ea9917d6f8fc62abd90d944920d95e73c83a5ee3383493e35d271aca872e9"}, + {file = "black-25.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a39337598244de4bae26475f77dda852ea00a93bd4c728e09eacd827ec929df0"}, + {file = "black-25.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:96c1c7cd856bba8e20094e36e0f948718dc688dba4a9d78c3adde52b9e6c2299"}, + {file = "black-25.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bce2e264d59c91e52d8000d507eb20a9aca4a778731a08cfff7e5ac4a4bb7096"}, + {file = "black-25.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:172b1dbff09f86ce6f4eb8edf9dede08b1fce58ba194c87d7a4f1a5aa2f5b3c2"}, + {file = "black-25.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4b60580e829091e6f9238c848ea6750efed72140b91b048770b64e74fe04908b"}, + {file = "black-25.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1e2978f6df243b155ef5fa7e558a43037c3079093ed5d10fd84c43900f2d8ecc"}, + {file = "black-25.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3b48735872ec535027d979e8dcb20bf4f70b5ac75a8ea99f127c106a7d7aba9f"}, + {file = "black-25.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:ea0213189960bda9cf99be5b8c8ce66bb054af5e9e861249cd23471bd7b0b3ba"}, + {file = "black-25.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8f0b18a02996a836cc9c9c78e5babec10930862827b1b724ddfe98ccf2f2fe4f"}, + {file = "black-25.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:afebb7098bfbc70037a053b91ae8437c3857482d3a690fefc03e9ff7aa9a5fd3"}, + {file = "black-25.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:030b9759066a4ee5e5aca28c3c77f9c64789cdd4de8ac1df642c40b708be6171"}, + {file = "black-25.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:a22f402b410566e2d1c950708c77ebf5ebd5d0d88a6a2e87c86d9fb48afa0d18"}, + {file = "black-25.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a1ee0a0c330f7b5130ce0caed9936a904793576ef4d2b98c40835d6a65afa6a0"}, + {file = "black-25.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f3df5f1bf91d36002b0a75389ca8663510cf0531cca8aa5c1ef695b46d98655f"}, + {file = "black-25.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d9e6827d563a2c820772b32ce8a42828dc6790f095f441beef18f96aa6f8294e"}, + {file = "black-25.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:bacabb307dca5ebaf9c118d2d2f6903da0d62c9faa82bd21a33eecc319559355"}, + {file = "black-25.1.0-py3-none-any.whl", hash = "sha256:95e8176dae143ba9097f351d174fdaf0ccd29efb414b362ae3fd72bf0f710717"}, + {file = "black-25.1.0.tar.gz", hash = "sha256:33496d5cd1222ad73391352b4ae8da15253c5de89b93a80b3e2c8d9a19ec2666"}, +] + +[package.dependencies] +click = ">=8.0.0" +mypy-extensions = ">=0.4.3" +packaging = ">=22.0" +pathspec = ">=0.9.0" +platformdirs = ">=2" + +[package.extras] +colorama = ["colorama (>=0.4.3)"] +d = ["aiohttp (>=3.10)"] +jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] +uvloop = ["uvloop (>=0.15.2)"] + +[[package]] +name = "bleach" +version = "6.2.0" +description = "An easy safelist-based HTML-sanitizing tool." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"}, + {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"}, +] + +[package.dependencies] +tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""} +webencodings = "*" + +[package.extras] +css = ["tinycss2 (>=1.1.0,<1.5)"] + +[[package]] +name = "blinker" +version = "1.9.0" +description = "Fast, simple object-to-object and broadcast signaling" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"}, + {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"}, +] + +[[package]] +name = "brotli" +version = "1.1.0" +description = "Python bindings for the Brotli compression library" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752"}, + {file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9"}, + {file = "Brotli-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3"}, + {file = "Brotli-1.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d"}, + {file = "Brotli-1.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:7c4855522edb2e6ae7fdb58e07c3ba9111e7621a8956f481c68d5d979c93032e"}, + {file = "Brotli-1.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"}, + {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"}, + {file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"}, + {file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"}, + {file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc"}, + {file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6"}, + {file = "Brotli-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd"}, + {file = "Brotli-1.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf"}, + {file = "Brotli-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a469274ad18dc0e4d316eefa616d1d0c2ff9da369af19fa6f3daa4f09671fd61"}, + {file = "Brotli-1.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"}, + {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"}, + {file = "Brotli-1.1.0-cp311-cp311-win32.whl", hash = "sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50"}, + {file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"}, + {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"}, + {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"}, + {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"}, + {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"}, + {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451"}, + {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7f4bf76817c14aa98cc6697ac02f3972cb8c3da93e9ef16b9c66573a68014f91"}, + {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408"}, + {file = "Brotli-1.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6c3020404e0b5eefd7c9485ccf8393cfb75ec38ce75586e046573c9dc29967a0"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111"}, + {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839"}, + {file = "Brotli-1.1.0-cp312-cp312-win32.whl", hash = "sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0"}, + {file = "Brotli-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951"}, + {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5"}, + {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8"}, + {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f"}, + {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648"}, + {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0"}, + {file = "Brotli-1.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089"}, + {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368"}, + {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c"}, + {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284"}, + {file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7"}, + {file = "Brotli-1.1.0-cp313-cp313-win32.whl", hash = "sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0"}, + {file = "Brotli-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b"}, + {file = "Brotli-1.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1"}, + {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d"}, + {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b"}, + {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112"}, + {file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_i686.whl", hash = "sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_ppc64le.whl", hash = "sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2"}, + {file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52"}, + {file = "Brotli-1.1.0-cp36-cp36m-win32.whl", hash = "sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460"}, + {file = "Brotli-1.1.0-cp36-cp36m-win_amd64.whl", hash = "sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579"}, + {file = "Brotli-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c"}, + {file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985"}, + {file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60"}, + {file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a"}, + {file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38"}, + {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c"}, + {file = "Brotli-1.1.0-cp37-cp37m-win32.whl", hash = "sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95"}, + {file = "Brotli-1.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68"}, + {file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3"}, + {file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208"}, + {file = "Brotli-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7"}, + {file = "Brotli-1.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a743e5a28af5f70f9c080380a5f908d4d21d40e8f0e0c8901604d15cfa9ba751"}, + {file = "Brotli-1.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48"}, + {file = "Brotli-1.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943"}, + {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a"}, + {file = "Brotli-1.1.0-cp38-cp38-win32.whl", hash = "sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b"}, + {file = "Brotli-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0"}, + {file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a"}, + {file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7905193081db9bfa73b1219140b3d315831cbff0d8941f22da695832f0dd188f"}, + {file = "Brotli-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a77def80806c421b4b0af06f45d65a136e7ac0bdca3c09d9e2ea4e515367c7e9"}, + {file = "Brotli-1.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf"}, + {file = "Brotli-1.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac"}, + {file = "Brotli-1.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f"}, + {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb"}, + {file = "Brotli-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64"}, + {file = "Brotli-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467"}, + {file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"}, +] + +[[package]] +name = "cachetools" +version = "5.5.2" +description = "Extensible memoizing collections and decorators" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"}, + {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"}, +] + +[[package]] +name = "certifi" +version = "2025.8.3" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "certifi-2025.8.3-py3-none-any.whl", hash = "sha256:f6c12493cfb1b06ba2ff328595af9350c65d6644968e5d3a2ffd78699af217a5"}, + {file = "certifi-2025.8.3.tar.gz", hash = "sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407"}, +] + +[[package]] +name = "cffi" +version = "2.0.0" +description = "Foreign Function Interface for Python calling C code." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"}, + {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"}, + {file = "cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c"}, + {file = "cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb"}, + {file = "cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0"}, + {file = "cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4"}, + {file = "cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453"}, + {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495"}, + {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5"}, + {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb"}, + {file = "cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a"}, + {file = "cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739"}, + {file = "cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe"}, + {file = "cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c"}, + {file = "cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92"}, + {file = "cffi-2.0.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:730cacb21e1bdff3ce90babf007d0a0917cc3e6492f336c2f0134101e0944f93"}, + {file = "cffi-2.0.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:6824f87845e3396029f3820c206e459ccc91760e8fa24422f8b0c3d1731cbec5"}, + {file = "cffi-2.0.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664"}, + {file = "cffi-2.0.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26"}, + {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9"}, + {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414"}, + {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5fed36fccc0612a53f1d4d9a816b50a36702c28a2aa880cb8a122b3466638743"}, + {file = "cffi-2.0.0-cp311-cp311-win32.whl", hash = "sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5"}, + {file = "cffi-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:66f011380d0e49ed280c789fbd08ff0d40968ee7b665575489afa95c98196ab5"}, + {file = "cffi-2.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d"}, + {file = "cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d"}, + {file = "cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c"}, + {file = "cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe"}, + {file = "cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062"}, + {file = "cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e"}, + {file = "cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037"}, + {file = "cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba"}, + {file = "cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94"}, + {file = "cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187"}, + {file = "cffi-2.0.0-cp312-cp312-win32.whl", hash = "sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18"}, + {file = "cffi-2.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5"}, + {file = "cffi-2.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:4671d9dd5ec934cb9a73e7ee9676f9362aba54f7f34910956b84d727b0d73fb6"}, + {file = "cffi-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb"}, + {file = "cffi-2.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca"}, + {file = "cffi-2.0.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b"}, + {file = "cffi-2.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b"}, + {file = "cffi-2.0.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2"}, + {file = "cffi-2.0.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3"}, + {file = "cffi-2.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26"}, + {file = "cffi-2.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c"}, + {file = "cffi-2.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b"}, + {file = "cffi-2.0.0-cp313-cp313-win32.whl", hash = "sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27"}, + {file = "cffi-2.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75"}, + {file = "cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91"}, + {file = "cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5"}, + {file = "cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13"}, + {file = "cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b"}, + {file = "cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c"}, + {file = "cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef"}, + {file = "cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775"}, + {file = "cffi-2.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205"}, + {file = "cffi-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1"}, + {file = "cffi-2.0.0-cp314-cp314-win32.whl", hash = "sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f"}, + {file = "cffi-2.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25"}, + {file = "cffi-2.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad"}, + {file = "cffi-2.0.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9"}, + {file = "cffi-2.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d"}, + {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c"}, + {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8"}, + {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc"}, + {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592"}, + {file = "cffi-2.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512"}, + {file = "cffi-2.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4"}, + {file = "cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e"}, + {file = "cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6"}, + {file = "cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9"}, + {file = "cffi-2.0.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:fe562eb1a64e67dd297ccc4f5addea2501664954f2692b69a76449ec7913ecbf"}, + {file = "cffi-2.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:de8dad4425a6ca6e4e5e297b27b5c824ecc7581910bf9aee86cb6835e6812aa7"}, + {file = "cffi-2.0.0-cp39-cp39-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:4647afc2f90d1ddd33441e5b0e85b16b12ddec4fca55f0d9671fef036ecca27c"}, + {file = "cffi-2.0.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3f4d46d8b35698056ec29bca21546e1551a205058ae1a181d871e278b0b28165"}, + {file = "cffi-2.0.0-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:e6e73b9e02893c764e7e8d5bb5ce277f1a009cd5243f8228f75f842bf937c534"}, + {file = "cffi-2.0.0-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:cb527a79772e5ef98fb1d700678fe031e353e765d1ca2d409c92263c6d43e09f"}, + {file = "cffi-2.0.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:61d028e90346df14fedc3d1e5441df818d095f3b87d286825dfcbd6459b7ef63"}, + {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0f6084a0ea23d05d20c3edcda20c3d006f9b6f3fefeac38f59262e10cef47ee2"}, + {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1cd13c99ce269b3ed80b417dcd591415d3372bcac067009b6e0f59c7d4015e65"}, + {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89472c9762729b5ae1ad974b777416bfda4ac5642423fa93bd57a09204712322"}, + {file = "cffi-2.0.0-cp39-cp39-win32.whl", hash = "sha256:2081580ebb843f759b9f617314a24ed5738c51d2aee65d31e02f6f7a2b97707a"}, + {file = "cffi-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9"}, + {file = "cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529"}, +] + +[package.dependencies] +pycparser = {version = "*", markers = "implementation_name != \"PyPy\""} + +[[package]] +name = "cfgv" +version = "3.4.0" +description = "Validate configuration and produce human readable error messages." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, + {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, +] + +[[package]] +name = "charset-normalizer" +version = "3.4.3" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "charset_normalizer-3.4.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fb7f67a1bfa6e40b438170ebdc8158b78dc465a5a67b6dde178a46987b244a72"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cc9370a2da1ac13f0153780040f465839e6cccb4a1e44810124b4e22483c93fe"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:07a0eae9e2787b586e129fdcbe1af6997f8d0e5abaa0bc98c0e20e124d67e601"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:74d77e25adda8581ffc1c720f1c81ca082921329452eba58b16233ab1842141c"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d0e909868420b7049dafd3a31d45125b31143eec59235311fc4c57ea26a4acd2"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c6f162aabe9a91a309510d74eeb6507fab5fff92337a15acbe77753d88d9dcf0"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:4ca4c094de7771a98d7fbd67d9e5dbf1eb73efa4f744a730437d8a3a5cf994f0"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:02425242e96bcf29a49711b0ca9f37e451da7c70562bc10e8ed992a5a7a25cc0"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:78deba4d8f9590fe4dae384aeff04082510a709957e968753ff3c48399f6f92a"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-win32.whl", hash = "sha256:d79c198e27580c8e958906f803e63cddb77653731be08851c7df0b1a14a8fc0f"}, + {file = "charset_normalizer-3.4.3-cp310-cp310-win_amd64.whl", hash = "sha256:c6e490913a46fa054e03699c70019ab869e990270597018cef1d8562132c2669"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b256ee2e749283ef3ddcff51a675ff43798d92d746d1a6e4631bf8c707d22d0b"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:13faeacfe61784e2559e690fc53fa4c5ae97c6fcedb8eb6fb8d0a15b475d2c64"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:00237675befef519d9af72169d8604a067d92755e84fe76492fef5441db05b91"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:585f3b2a80fbd26b048a0be90c5aae8f06605d3c92615911c3a2b03a8a3b796f"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e78314bdc32fa80696f72fa16dc61168fda4d6a0c014e0380f9d02f0e5d8a07"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:96b2b3d1a83ad55310de8c7b4a2d04d9277d5591f40761274856635acc5fcb30"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:939578d9d8fd4299220161fdd76e86c6a251987476f5243e8864a7844476ba14"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:fd10de089bcdcd1be95a2f73dbe6254798ec1bda9f450d5828c96f93e2536b9c"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1e8ac75d72fa3775e0b7cb7e4629cec13b7514d928d15ef8ea06bca03ef01cae"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-win32.whl", hash = "sha256:6cf8fd4c04756b6b60146d98cd8a77d0cdae0e1ca20329da2ac85eed779b6849"}, + {file = "charset_normalizer-3.4.3-cp311-cp311-win_amd64.whl", hash = "sha256:31a9a6f775f9bcd865d88ee350f0ffb0e25936a7f930ca98995c05abf1faf21c"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e28e334d3ff134e88989d90ba04b47d84382a828c061d0d1027b1b12a62b39b1"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0cacf8f7297b0c4fcb74227692ca46b4a5852f8f4f24b3c766dd94a1075c4884"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c6fd51128a41297f5409deab284fecbe5305ebd7e5a1f959bee1c054622b7018"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:3cfb2aad70f2c6debfbcb717f23b7eb55febc0bb23dcffc0f076009da10c6392"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1606f4a55c0fd363d754049cdf400175ee96c992b1f8018b993941f221221c5f"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:027b776c26d38b7f15b26a5da1044f376455fb3766df8fc38563b4efbc515154"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:42e5088973e56e31e4fa58eb6bd709e42fc03799c11c42929592889a2e54c491"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:cc34f233c9e71701040d772aa7490318673aa7164a0efe3172b2981218c26d93"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:320e8e66157cc4e247d9ddca8e21f427efc7a04bbd0ac8a9faf56583fa543f9f"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-win32.whl", hash = "sha256:fb6fecfd65564f208cbf0fba07f107fb661bcd1a7c389edbced3f7a493f70e37"}, + {file = "charset_normalizer-3.4.3-cp312-cp312-win_amd64.whl", hash = "sha256:86df271bf921c2ee3818f0522e9a5b8092ca2ad8b065ece5d7d9d0e9f4849bcc"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:14c2a87c65b351109f6abfc424cab3927b3bdece6f706e4d12faaf3d52ee5efe"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:41d1fc408ff5fdfb910200ec0e74abc40387bccb3252f3f27c0676731df2b2c8"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:1bb60174149316da1c35fa5233681f7c0f9f514509b8e399ab70fea5f17e45c9"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:30d006f98569de3459c2fc1f2acde170b7b2bd265dc1943e87e1a4efe1b67c31"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:416175faf02e4b0810f1f38bcb54682878a4af94059a1cd63b8747244420801f"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6aab0f181c486f973bc7262a97f5aca3ee7e1437011ef0c2ec04b5a11d16c927"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:fdabf8315679312cfa71302f9bd509ded4f2f263fb5b765cf1433b39106c3cc9"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:bd28b817ea8c70215401f657edef3a8aa83c29d447fb0b622c35403780ba11d5"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:18343b2d246dc6761a249ba1fb13f9ee9a2bcd95decc767319506056ea4ad4dc"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-win32.whl", hash = "sha256:6fb70de56f1859a3f71261cbe41005f56a7842cc348d3aeb26237560bfa5e0ce"}, + {file = "charset_normalizer-3.4.3-cp313-cp313-win_amd64.whl", hash = "sha256:cf1ebb7d78e1ad8ec2a8c4732c7be2e736f6e5123a4146c5b89c9d1f585f8cef"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:3cd35b7e8aedeb9e34c41385fda4f73ba609e561faedfae0a9e75e44ac558a15"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b89bc04de1d83006373429975f8ef9e7932534b8cc9ca582e4db7d20d91816db"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2001a39612b241dae17b4687898843f254f8748b796a2e16f1051a17078d991d"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8dcfc373f888e4fb39a7bc57e93e3b845e7f462dacc008d9749568b1c4ece096"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:18b97b8404387b96cdbd30ad660f6407799126d26a39ca65729162fd810a99aa"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ccf600859c183d70eb47e05a44cd80a4ce77394d1ac0f79dbd2dd90a69a3a049"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:53cd68b185d98dde4ad8990e56a58dea83a4162161b1ea9272e5c9182ce415e0"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:30a96e1e1f865f78b030d65241c1ee850cdf422d869e9028e2fc1d5e4db73b92"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d716a916938e03231e86e43782ca7878fb602a125a91e7acb8b5112e2e96ac16"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-win32.whl", hash = "sha256:c6dbd0ccdda3a2ba7c2ecd9d77b37f3b5831687d8dc1b6ca5f56a4880cc7b7ce"}, + {file = "charset_normalizer-3.4.3-cp314-cp314-win_amd64.whl", hash = "sha256:73dc19b562516fc9bcf6e5d6e596df0b4eb98d87e4f79f3ae71840e6ed21361c"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0f2be7e0cf7754b9a30eb01f4295cc3d4358a479843b31f328afd210e2c7598c"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c60e092517a73c632ec38e290eba714e9627abe9d301c8c8a12ec32c314a2a4b"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:252098c8c7a873e17dd696ed98bbe91dbacd571da4b87df3736768efa7a792e4"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:3653fad4fe3ed447a596ae8638b437f827234f01a8cd801842e43f3d0a6b281b"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8999f965f922ae054125286faf9f11bc6932184b93011d138925a1773830bbe9"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d95bfb53c211b57198bb91c46dd5a2d8018b3af446583aab40074bf7988401cb"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:5b413b0b1bfd94dbf4023ad6945889f374cd24e3f62de58d6bb102c4d9ae534a"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:b5e3b2d152e74e100a9e9573837aba24aab611d39428ded46f4e4022ea7d1942"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:a2d08ac246bb48479170408d6c19f6385fa743e7157d716e144cad849b2dd94b"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-win32.whl", hash = "sha256:ec557499516fc90fd374bf2e32349a2887a876fbf162c160e3c01b6849eaf557"}, + {file = "charset_normalizer-3.4.3-cp38-cp38-win_amd64.whl", hash = "sha256:5d8d01eac18c423815ed4f4a2ec3b439d654e55ee4ad610e153cf02faf67ea40"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:70bfc5f2c318afece2f5838ea5e4c3febada0be750fcf4775641052bbba14d05"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23b6b24d74478dc833444cbd927c338349d6ae852ba53a0d02a2de1fce45b96e"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:34a7f768e3f985abdb42841e20e17b330ad3aaf4bb7e7aeeb73db2e70f077b99"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:fb731e5deb0c7ef82d698b0f4c5bb724633ee2a489401594c5c88b02e6cb15f7"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:257f26fed7d7ff59921b78244f3cd93ed2af1800ff048c33f624c87475819dd7"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:1ef99f0456d3d46a50945c98de1774da86f8e992ab5c77865ea8b8195341fc19"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:2c322db9c8c89009a990ef07c3bcc9f011a3269bc06782f916cd3d9eed7c9312"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:511729f456829ef86ac41ca78c63a5cb55240ed23b4b737faca0eb1abb1c41bc"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:88ab34806dea0671532d3f82d82b85e8fc23d7b2dd12fa837978dad9bb392a34"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-win32.whl", hash = "sha256:16a8770207946ac75703458e2c743631c79c59c5890c80011d536248f8eaa432"}, + {file = "charset_normalizer-3.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:d22dbedd33326a4a5190dd4fe9e9e693ef12160c77382d9e87919bce54f3d4ca"}, + {file = "charset_normalizer-3.4.3-py3-none-any.whl", hash = "sha256:ce571ab16d890d23b5c278547ba694193a45011ff86a9162a71307ed9f86759a"}, + {file = "charset_normalizer-3.4.3.tar.gz", hash = "sha256:6fce4b8500244f6fcb71465d4a4930d132ba9ab8e71a7859e6a5d59851068d14"}, +] + +[[package]] +name = "click" +version = "8.2.1" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"}, + {file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "cloudpickle" +version = "3.1.1" +description = "Pickler class to extend the standard pickle.Pickler functionality" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e"}, + {file = "cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64"}, +] + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "sys_platform == \"win32\" or platform_system == \"Windows\"" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "comm" +version = "0.2.3" +description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417"}, + {file = "comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971"}, +] + +[package.extras] +test = ["pytest"] + +[[package]] +name = "contourpy" +version = "1.3.3" +description = "Python library for calculating contours of 2D quadrilateral grids" +optional = false +python-versions = ">=3.11" +groups = ["main"] +files = [ + {file = "contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1"}, + {file = "contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381"}, + {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7"}, + {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1"}, + {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a"}, + {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db"}, + {file = "contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620"}, + {file = "contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f"}, + {file = "contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff"}, + {file = "contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42"}, + {file = "contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470"}, + {file = "contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb"}, + {file = "contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6"}, + {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7"}, + {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8"}, + {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea"}, + {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1"}, + {file = "contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7"}, + {file = "contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411"}, + {file = "contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69"}, + {file = "contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b"}, + {file = "contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc"}, + {file = "contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5"}, + {file = "contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1"}, + {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286"}, + {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5"}, + {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67"}, + {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9"}, + {file = "contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659"}, + {file = "contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7"}, + {file = "contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d"}, + {file = "contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263"}, + {file = "contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9"}, + {file = "contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d"}, + {file = "contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216"}, + {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae"}, + {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20"}, + {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99"}, + {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b"}, + {file = "contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a"}, + {file = "contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e"}, + {file = "contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3"}, + {file = "contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8"}, + {file = "contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301"}, + {file = "contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a"}, + {file = "contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77"}, + {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5"}, + {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4"}, + {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36"}, + {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3"}, + {file = "contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b"}, + {file = "contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36"}, + {file = "contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d"}, + {file = "contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd"}, + {file = "contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339"}, + {file = "contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772"}, + {file = "contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77"}, + {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13"}, + {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe"}, + {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f"}, + {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0"}, + {file = "contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4"}, + {file = "contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f"}, + {file = "contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae"}, + {file = "contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc"}, + {file = "contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b"}, + {file = "contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497"}, + {file = "contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8"}, + {file = "contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e"}, + {file = "contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989"}, + {file = "contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77"}, + {file = "contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880"}, +] + +[package.dependencies] +numpy = ">=1.25" + +[package.extras] +bokeh = ["bokeh", "selenium"] +docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] +mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.17.0)", "types-Pillow"] +test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] +test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"] + +[[package]] +name = "cryptography" +version = "45.0.4" +description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." +optional = false +python-versions = "!=3.9.0,!=3.9.1,>=3.7" +groups = ["main"] +files = [ + {file = "cryptography-45.0.4-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:425a9a6ac2823ee6e46a76a21a4e8342d8fa5c01e08b823c1f19a8b74f096069"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:680806cf63baa0039b920f4976f5f31b10e772de42f16310a6839d9f21a26b0d"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4ca0f52170e821bc8da6fc0cc565b7bb8ff8d90d36b5e9fdd68e8a86bdf72036"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:f3fe7a5ae34d5a414957cc7f457e2b92076e72938423ac64d215722f6cf49a9e"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:25eb4d4d3e54595dc8adebc6bbd5623588991d86591a78c2548ffb64797341e2"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:ce1678a2ccbe696cf3af15a75bb72ee008d7ff183c9228592ede9db467e64f1b"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:49fe9155ab32721b9122975e168a6760d8ce4cffe423bcd7ca269ba41b5dfac1"}, + {file = "cryptography-45.0.4-cp311-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:2882338b2a6e0bd337052e8b9007ced85c637da19ef9ecaf437744495c8c2999"}, + {file = "cryptography-45.0.4-cp311-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:23b9c3ea30c3ed4db59e7b9619272e94891f8a3a5591d0b656a7582631ccf750"}, + {file = "cryptography-45.0.4-cp311-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b0a97c927497e3bc36b33987abb99bf17a9a175a19af38a892dc4bbb844d7ee2"}, + {file = "cryptography-45.0.4-cp311-abi3-win32.whl", hash = "sha256:e00a6c10a5c53979d6242f123c0a97cff9f3abed7f064fc412c36dc521b5f257"}, + {file = "cryptography-45.0.4-cp311-abi3-win_amd64.whl", hash = "sha256:817ee05c6c9f7a69a16200f0c90ab26d23a87701e2a284bd15156783e46dbcc8"}, + {file = "cryptography-45.0.4-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:964bcc28d867e0f5491a564b7debb3ffdd8717928d315d12e0d7defa9e43b723"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6a5bf57554e80f75a7db3d4b1dacaa2764611ae166ab42ea9a72bcdb5d577637"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:46cf7088bf91bdc9b26f9c55636492c1cce3e7aaf8041bbf0243f5e5325cfb2d"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:7bedbe4cc930fa4b100fc845ea1ea5788fcd7ae9562e669989c11618ae8d76ee"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:eaa3e28ea2235b33220b949c5a0d6cf79baa80eab2eb5607ca8ab7525331b9ff"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:7ef2dde4fa9408475038fc9aadfc1fb2676b174e68356359632e980c661ec8f6"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:6a3511ae33f09094185d111160fd192c67aa0a2a8d19b54d36e4c78f651dc5ad"}, + {file = "cryptography-45.0.4-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:06509dc70dd71fa56eaa138336244e2fbaf2ac164fc9b5e66828fccfd2b680d6"}, + {file = "cryptography-45.0.4-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:5f31e6b0a5a253f6aa49be67279be4a7e5a4ef259a9f33c69f7d1b1191939872"}, + {file = "cryptography-45.0.4-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:944e9ccf67a9594137f942d5b52c8d238b1b4e46c7a0c2891b7ae6e01e7c80a4"}, + {file = "cryptography-45.0.4-cp37-abi3-win32.whl", hash = "sha256:c22fe01e53dc65edd1945a2e6f0015e887f84ced233acecb64b4daadb32f5c97"}, + {file = "cryptography-45.0.4-cp37-abi3-win_amd64.whl", hash = "sha256:627ba1bc94f6adf0b0a2e35d87020285ead22d9f648c7e75bb64f367375f3b22"}, + {file = "cryptography-45.0.4-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a77c6fb8d76e9c9f99f2f3437c1a4ac287b34eaf40997cfab1e9bd2be175ac39"}, + {file = "cryptography-45.0.4-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7aad98a25ed8ac917fdd8a9c1e706e5a0956e06c498be1f713b61734333a4507"}, + {file = "cryptography-45.0.4-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3530382a43a0e524bc931f187fc69ef4c42828cf7d7f592f7f249f602b5a4ab0"}, + {file = "cryptography-45.0.4-pp310-pypy310_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:6b613164cb8425e2f8db5849ffb84892e523bf6d26deb8f9bb76ae86181fa12b"}, + {file = "cryptography-45.0.4-pp310-pypy310_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:96d4819e25bf3b685199b304a0029ce4a3caf98947ce8a066c9137cc78ad2c58"}, + {file = "cryptography-45.0.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:b97737a3ffbea79eebb062eb0d67d72307195035332501722a9ca86bab9e3ab2"}, + {file = "cryptography-45.0.4-pp311-pypy311_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4828190fb6c4bcb6ebc6331f01fe66ae838bb3bd58e753b59d4b22eb444b996c"}, + {file = "cryptography-45.0.4-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:03dbff8411206713185b8cebe31bc5c0eb544799a50c09035733716b386e61a4"}, + {file = "cryptography-45.0.4-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:51dfbd4d26172d31150d84c19bbe06c68ea4b7f11bbc7b3a5e146b367c311349"}, + {file = "cryptography-45.0.4-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:0339a692de47084969500ee455e42c58e449461e0ec845a34a6a9b9bf7df7fb8"}, + {file = "cryptography-45.0.4-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:0cf13c77d710131d33e63626bd55ae7c0efb701ebdc2b3a7952b9b23a0412862"}, + {file = "cryptography-45.0.4-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:bbc505d1dc469ac12a0a064214879eac6294038d6b24ae9f71faae1448a9608d"}, + {file = "cryptography-45.0.4.tar.gz", hash = "sha256:7405ade85c83c37682c8fe65554759800a4a8c54b2d96e0f8ad114d31b808d57"}, +] + +[package.dependencies] +cffi = {version = ">=1.14", markers = "platform_python_implementation != \"PyPy\""} + +[package.extras] +docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs ; python_full_version >= \"3.8.0\"", "sphinx-rtd-theme (>=3.0.0) ; python_full_version >= \"3.8.0\""] +docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"] +nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_full_version >= \"3.8.0\""] +pep8test = ["check-sdist ; python_full_version >= \"3.8.0\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"] +sdist = ["build (>=1.0.0)"] +ssh = ["bcrypt (>=3.1.5)"] +test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"] +test-randomorder = ["pytest-randomly"] + +[[package]] +name = "cycler" +version = "0.12.1" +description = "Composable style cycles" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, + {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, +] + +[package.extras] +docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] +tests = ["pytest", "pytest-cov", "pytest-xdist"] + +[[package]] +name = "databricks-sdk" +version = "0.65.0" +description = "Databricks SDK for Python (Beta)" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "databricks_sdk-0.65.0-py3-none-any.whl", hash = "sha256:594e61138071d7ae830412cfd3fbc5bd16aba9b67a423f44f4c13ca70c493a9f"}, + {file = "databricks_sdk-0.65.0.tar.gz", hash = "sha256:be744c844d1e1e9bf1a4ad2982ef2c8b88f2ef8ad36b6ea8b77591fd3b1f1bbb"}, +] + +[package.dependencies] +google-auth = ">=2.0,<3.0" +requests = ">=2.28.1,<3" + +[package.extras] +dev = ["autoflake", "black", "build", "databricks-connect", "httpx", "ipython", "ipywidgets", "isort", "langchain-openai ; python_version > \"3.7\"", "openai", "pycodestyle", "pyfakefs", "pytest", "pytest-cov", "pytest-mock", "pytest-rerunfailures", "pytest-xdist (>=3.6.1,<4.0)", "requests-mock", "wheel"] +notebook = ["ipython (>=8,<10)", "ipywidgets (>=8,<9)"] +openai = ["httpx", "langchain-openai ; python_version > \"3.7\"", "openai"] + +[[package]] +name = "datasets" +version = "4.0.0" +description = "HuggingFace community-driven open-source library of datasets" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "datasets-4.0.0-py3-none-any.whl", hash = "sha256:7ef95e62025fd122882dbce6cb904c8cd3fbc829de6669a5eb939c77d50e203d"}, + {file = "datasets-4.0.0.tar.gz", hash = "sha256:9657e7140a9050db13443ba21cb5de185af8af944479b00e7ff1e00a61c8dbf1"}, +] + +[package.dependencies] +dill = ">=0.3.0,<0.3.9" +filelock = "*" +fsspec = {version = ">=2023.1.0,<=2025.3.0", extras = ["http"]} +huggingface-hub = ">=0.24.0" +multiprocess = "<0.70.17" +numpy = ">=1.17" +packaging = "*" +pandas = "*" +pyarrow = ">=15.0.0" +pyyaml = ">=5.1" +requests = ">=2.32.2" +tqdm = ">=4.66.3" +xxhash = "*" + +[package.extras] +audio = ["soundfile (>=0.12.1)", "torch (>=2.7.0)", "torchcodec (>=0.4.0)"] +benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] +dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchcodec (>=0.4.0) ; sys_platform != \"win32\"", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +docs = ["tensorflow (>=2.6.0)", "torch", "transformers"] +jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] +pdfs = ["pdfplumber (>=0.11.4)"] +quality = ["ruff (>=0.3.0)"] +tensorflow = ["tensorflow (>=2.6.0)"] +tensorflow-gpu = ["tensorflow (>=2.6.0)"] +tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.0.0)", "torchcodec (>=0.4.0) ; sys_platform != \"win32\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "soundfile (>=0.12.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchcodec (>=0.4.0) ; sys_platform != \"win32\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] +torch = ["torch"] +vision = ["Pillow (>=9.4.0)"] + +[[package]] +name = "debugpy" +version = "1.8.16" +description = "An implementation of the Debug Adapter Protocol for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "debugpy-1.8.16-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:2a3958fb9c2f40ed8ea48a0d34895b461de57a1f9862e7478716c35d76f56c65"}, + {file = "debugpy-1.8.16-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5ca7314042e8a614cc2574cd71f6ccd7e13a9708ce3c6d8436959eae56f2378"}, + {file = "debugpy-1.8.16-cp310-cp310-win32.whl", hash = "sha256:8624a6111dc312ed8c363347a0b59c5acc6210d897e41a7c069de3c53235c9a6"}, + {file = "debugpy-1.8.16-cp310-cp310-win_amd64.whl", hash = "sha256:fee6db83ea5c978baf042440cfe29695e1a5d48a30147abf4c3be87513609817"}, + {file = "debugpy-1.8.16-cp311-cp311-macosx_14_0_universal2.whl", hash = "sha256:67371b28b79a6a12bcc027d94a06158f2fde223e35b5c4e0783b6f9d3b39274a"}, + {file = "debugpy-1.8.16-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2abae6dd02523bec2dee16bd6b0781cccb53fd4995e5c71cc659b5f45581898"}, + {file = "debugpy-1.8.16-cp311-cp311-win32.whl", hash = "sha256:f8340a3ac2ed4f5da59e064aa92e39edd52729a88fbde7bbaa54e08249a04493"}, + {file = "debugpy-1.8.16-cp311-cp311-win_amd64.whl", hash = "sha256:70f5fcd6d4d0c150a878d2aa37391c52de788c3dc680b97bdb5e529cb80df87a"}, + {file = "debugpy-1.8.16-cp312-cp312-macosx_14_0_universal2.whl", hash = "sha256:b202e2843e32e80b3b584bcebfe0e65e0392920dc70df11b2bfe1afcb7a085e4"}, + {file = "debugpy-1.8.16-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64473c4a306ba11a99fe0bb14622ba4fbd943eb004847d9b69b107bde45aa9ea"}, + {file = "debugpy-1.8.16-cp312-cp312-win32.whl", hash = "sha256:833a61ed446426e38b0dd8be3e9d45ae285d424f5bf6cd5b2b559c8f12305508"}, + {file = "debugpy-1.8.16-cp312-cp312-win_amd64.whl", hash = "sha256:75f204684581e9ef3dc2f67687c3c8c183fde2d6675ab131d94084baf8084121"}, + {file = "debugpy-1.8.16-cp313-cp313-macosx_14_0_universal2.whl", hash = "sha256:85df3adb1de5258dca910ae0bb185e48c98801ec15018a263a92bb06be1c8787"}, + {file = "debugpy-1.8.16-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee89e948bc236a5c43c4214ac62d28b29388453f5fd328d739035e205365f0b"}, + {file = "debugpy-1.8.16-cp313-cp313-win32.whl", hash = "sha256:cf358066650439847ec5ff3dae1da98b5461ea5da0173d93d5e10f477c94609a"}, + {file = "debugpy-1.8.16-cp313-cp313-win_amd64.whl", hash = "sha256:b5aea1083f6f50023e8509399d7dc6535a351cc9f2e8827d1e093175e4d9fa4c"}, + {file = "debugpy-1.8.16-cp38-cp38-macosx_14_0_x86_64.whl", hash = "sha256:2801329c38f77c47976d341d18040a9ac09d0c71bf2c8b484ad27c74f83dc36f"}, + {file = "debugpy-1.8.16-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:687c7ab47948697c03b8f81424aa6dc3f923e6ebab1294732df1ca9773cc67bc"}, + {file = "debugpy-1.8.16-cp38-cp38-win32.whl", hash = "sha256:a2ba6fc5d7c4bc84bcae6c5f8edf5988146e55ae654b1bb36fecee9e5e77e9e2"}, + {file = "debugpy-1.8.16-cp38-cp38-win_amd64.whl", hash = "sha256:d58c48d8dbbbf48a3a3a638714a2d16de537b0dace1e3432b8e92c57d43707f8"}, + {file = "debugpy-1.8.16-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:135ccd2b1161bade72a7a099c9208811c137a150839e970aeaf121c2467debe8"}, + {file = "debugpy-1.8.16-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:211238306331a9089e253fd997213bc4a4c65f949271057d6695953254095376"}, + {file = "debugpy-1.8.16-cp39-cp39-win32.whl", hash = "sha256:88eb9ffdfb59bf63835d146c183d6dba1f722b3ae2a5f4b9fc03e925b3358922"}, + {file = "debugpy-1.8.16-cp39-cp39-win_amd64.whl", hash = "sha256:c2c47c2e52b40449552843b913786499efcc3dbc21d6c49287d939cd0dbc49fd"}, + {file = "debugpy-1.8.16-py2.py3-none-any.whl", hash = "sha256:19c9521962475b87da6f673514f7fd610328757ec993bf7ec0d8c96f9a325f9e"}, + {file = "debugpy-1.8.16.tar.gz", hash = "sha256:31e69a1feb1cf6b51efbed3f6c9b0ef03bc46ff050679c4be7ea6d2e23540870"}, +] + +[[package]] +name = "decorator" +version = "5.2.1" +description = "Decorators for Humans" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"}, + {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"}, +] + +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["main"] +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + +[[package]] +name = "dill" +version = "0.3.8" +description = "serialize all of Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, + {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, +] + +[package.extras] +graph = ["objgraph (>=1.7.2)"] +profile = ["gprof2dot (>=2022.7.29)"] + +[[package]] +name = "distlib" +version = "0.4.0" +description = "Distribution utilities" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "distlib-0.4.0-py2.py3-none-any.whl", hash = "sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16"}, + {file = "distlib-0.4.0.tar.gz", hash = "sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d"}, +] + +[[package]] +name = "django" +version = "4.2.23" +description = "A high-level Python web framework that encourages rapid development and clean, pragmatic design." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "django-4.2.23-py3-none-any.whl", hash = "sha256:dafbfaf52c2f289bd65f4ab935791cb4fb9a198f2a5ba9faf35d7338a77e9803"}, + {file = "django-4.2.23.tar.gz", hash = "sha256:42fdeaba6e6449d88d4f66de47871015097dc6f1b87910db00a91946295cfae4"}, +] + +[package.dependencies] +asgiref = ">=3.6.0,<4" +sqlparse = ">=0.3.1" +tzdata = {version = "*", markers = "sys_platform == \"win32\""} + +[package.extras] +argon2 = ["argon2-cffi (>=19.1.0)"] +bcrypt = ["bcrypt"] + +[[package]] +name = "django-auditlog" +version = "3.2.0" +description = "Audit log app for Django" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "django_auditlog-3.2.0-py3-none-any.whl", hash = "sha256:63d02326c5b069cd5ae390c4729076f1d935c3a9cefc27893e79a01c42cd1a78"}, + {file = "django_auditlog-3.2.0.tar.gz", hash = "sha256:66cf3945977ba60e0687fc264ac178f0c7b0eee013f25e1c63561d8ceb6a5c41"}, +] + +[package.dependencies] +Django = ">=4.2" +python-dateutil = ">=2.7.0" + +[[package]] +name = "django-filter" +version = "25.1" +description = "Django-filter is a reusable Django application for allowing users to filter querysets dynamically." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "django_filter-25.1-py3-none-any.whl", hash = "sha256:4fa48677cf5857b9b1347fed23e355ea792464e0fe07244d1fdfb8a806215b80"}, + {file = "django_filter-25.1.tar.gz", hash = "sha256:1ec9eef48fa8da1c0ac9b411744b16c3f4c31176c867886e4c48da369c407153"}, +] + +[package.dependencies] +Django = ">=4.2" + +[[package]] +name = "django-js-asset" +version = "3.1.2" +description = "script tag with additional attributes for django.forms.Media" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "django_js_asset-3.1.2-py3-none-any.whl", hash = "sha256:b5ffe376aebbd73b7af886d675ac9f43ca63b39540190fa8409c9f8e79145f68"}, + {file = "django_js_asset-3.1.2.tar.gz", hash = "sha256:1fc7584199ed1941ed7c8e7b87ca5524bb0f2ba941561d2a104e88ee9f07bedd"}, +] + +[package.dependencies] +django = ">=4.2" + +[package.extras] +tests = ["coverage"] + +[[package]] +name = "django-jsonform" +version = "2.23.2" +description = "A user-friendly JSON editing form for Django admin." +optional = false +python-versions = ">=3.4" +groups = ["main"] +files = [ + {file = "django_jsonform-2.23.2-py3-none-any.whl", hash = "sha256:1b7f94c5a2bd22c844e035a9940a9c8586f7b8fc3346ef2a6a13ba608e0059d7"}, + {file = "django_jsonform-2.23.2.tar.gz", hash = "sha256:6fa2ba7c082be51d738e6c66e35075a3cb9ebc2f941e3a477c988900a7fe3269"}, +] + +[package.dependencies] +django = ">=2.0" + +[[package]] +name = "django-mptt" +version = "0.14.0" +description = "Utilities for implementing Modified Preorder Tree Traversal with your Django Models and working with trees of Model instances." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "django-mptt-0.14.0.tar.gz", hash = "sha256:2c92a2b1614c53086278795ccf50580cf1f9b8564f3ff03055dd62bab5987711"}, + {file = "django_mptt-0.14.0-py3-none-any.whl", hash = "sha256:d9a87433ab0e4f35247c6f6d5a93ace6990860a4ba8796f815d185f773b9acfc"}, +] + +[package.dependencies] +django-js-asset = "*" + +[package.extras] +tests = ["coverage", "mock-django"] + +[[package]] +name = "djangorestframework" +version = "3.16.0" +description = "Web APIs for Django, made easy." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "djangorestframework-3.16.0-py3-none-any.whl", hash = "sha256:bea7e9f6b96a8584c5224bfb2e4348dfb3f8b5e34edbecb98da258e892089361"}, + {file = "djangorestframework-3.16.0.tar.gz", hash = "sha256:f022ff46613584de994c0c6a4aebbace5fd700555fbe9d33b865ebf173eba6c9"}, +] + +[package.dependencies] +django = ">=4.2" + +[[package]] +name = "docker" +version = "7.1.0" +description = "A Python library for the Docker Engine API." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"}, + {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"}, +] + +[package.dependencies] +pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""} +requests = ">=2.26.0" +urllib3 = ">=1.26.0" + +[package.extras] +dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"] +docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"] +ssh = ["paramiko (>=2.4.3)"] +websockets = ["websocket-client (>=1.3.0)"] + +[[package]] +name = "drf-excel" +version = "2.5.3" +description = "Django REST Framework renderer for Excel spreadsheet (xlsx) files." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "drf_excel-2.5.3-py3-none-any.whl", hash = "sha256:3c1e3a0f925394eec348a0d133288ab9cb4e7e676d2dbbc1f3a9c038167543e6"}, + {file = "drf_excel-2.5.3.tar.gz", hash = "sha256:cac688c4b7581d7cfde1e6dfa88bcbc649939e4277a052877109d40934692202"}, +] + +[package.dependencies] +djangorestframework = ">=3.14" +openpyxl = ">=2.4" + +[[package]] +name = "drf-flex-fields" +version = "1.0.2" +description = "Flexible, dynamic fields and nested resources for Django REST Framework serializers." +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "drf-flex-fields-1.0.2.tar.gz", hash = "sha256:48139eeff0b1232fc05a9f353c3c2b570b225985043dedda6ab0d5e8b7a1d7af"}, +] + +[[package]] +name = "et-xmlfile" +version = "2.0.0" +description = "An implementation of lxml.xmlfile for the standard library" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"}, + {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"}, +] + +[[package]] +name = "evaluate" +version = "0.4.5" +description = "HuggingFace community-driven open-source library of evaluation" +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +files = [ + {file = "evaluate-0.4.5-py3-none-any.whl", hash = "sha256:ab1528b8199af20fa8670cc5bf8e5d8443929dfa2e3d7483b458d8fdff6933d1"}, + {file = "evaluate-0.4.5.tar.gz", hash = "sha256:8c870c016d63899d45b3d9206f3365fd332836ad81b3f335e89ff618d93e0051"}, +] + +[package.dependencies] +datasets = ">=2.0.0" +dill = "*" +fsspec = {version = ">=2021.05.0", extras = ["http"]} +huggingface-hub = ">=0.7.0" +multiprocess = "*" +numpy = ">=1.17" +packaging = "*" +pandas = "*" +requests = ">=2.19.0" +tqdm = ">=4.62.1" +xxhash = "*" + +[package.extras] +dev = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "jiwer", "mauve-text", "nltk", "numpy (<2.0.0)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy (>=1.10.0)", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"] +docs = ["s3fs"] +evaluator = ["scipy (>=1.7.1)", "transformers"] +quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +template = ["cookiecutter", "gradio (>=3.0.0)"] +tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"] +tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] +tests = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "jiwer", "mauve-text", "nltk", "numpy (<2.0.0)", "pytest", "pytest-datadir", "pytest-xdist", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy (>=1.10.0)", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"] +torch = ["torch"] + +[[package]] +name = "executing" +version = "2.2.1" +description = "Get the currently executing AST node of a frame, and other information" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"}, + {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"}, +] + +[package.extras] +tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""] + +[[package]] +name = "fastapi" +version = "0.116.1" +description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "fastapi-0.116.1-py3-none-any.whl", hash = "sha256:c46ac7c312df840f0c9e220f7964bada936781bc4e2e6eb71f1c4d7553786565"}, + {file = "fastapi-0.116.1.tar.gz", hash = "sha256:ed52cbf946abfd70c5a0dccb24673f0670deeb517a88b3544d03c2a6bf283143"}, +] + +[package.dependencies] +pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" +starlette = ">=0.40.0,<0.48.0" +typing-extensions = ">=4.8.0" + +[package.extras] +all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"] +standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"] + +[[package]] +name = "fastjsonschema" +version = "2.21.2" +description = "Fastest Python implementation of JSON schema" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463"}, + {file = "fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de"}, +] + +[package.extras] +devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + +[[package]] +name = "ffmpeg-python" +version = "0.2.0" +description = "Python bindings for FFmpeg - with complex filtering support" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "ffmpeg-python-0.2.0.tar.gz", hash = "sha256:65225db34627c578ef0e11c8b1eb528bb35e024752f6f10b78c011f6f64c4127"}, + {file = "ffmpeg_python-0.2.0-py3-none-any.whl", hash = "sha256:ac441a0404e053f8b6a1113a77c0f452f1cfc62f6344a769475ffdc0f56c23c5"}, +] + +[package.dependencies] +future = "*" + +[package.extras] +dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4.6.1)", "pytest-mock (==1.10.4)", "tox (==3.12.1)"] + +[[package]] +name = "ffmpy" +version = "0.6.1" +description = "A simple Python wrapper for FFmpeg" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "ffmpy-0.6.1-py3-none-any.whl", hash = "sha256:69a37e2d7d6feb840e233d5640f3499a8b0a8657336774c86e4c52a3219222d4"}, + {file = "ffmpy-0.6.1.tar.gz", hash = "sha256:b5830fd05f72bace05b8fb28724d54a7a63c5119d7f74ca36a75df33f749142d"}, +] + +[package.extras] +psutil = ["psutil (>=5.8.0)"] + +[[package]] +name = "filelock" +version = "3.19.1" +description = "A platform independent file lock." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "filelock-3.19.1-py3-none-any.whl", hash = "sha256:d38e30481def20772f5baf097c122c3babc4fcdb7e14e57049eb9d88c6dc017d"}, + {file = "filelock-3.19.1.tar.gz", hash = "sha256:66eda1888b0171c998b35be2bcc0f6d75c388a7ce20c3f3f37aa8e96c2dddf58"}, +] + +[[package]] +name = "flask" +version = "3.1.2" +description = "A simple framework for building complex web applications." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "flask-3.1.2-py3-none-any.whl", hash = "sha256:ca1d8112ec8a6158cc29ea4858963350011b5c846a414cdb7a954aa9e967d03c"}, + {file = "flask-3.1.2.tar.gz", hash = "sha256:bf656c15c80190ed628ad08cdfd3aaa35beb087855e2f494910aa3774cc4fd87"}, +] + +[package.dependencies] +blinker = ">=1.9.0" +click = ">=8.1.3" +itsdangerous = ">=2.2.0" +jinja2 = ">=3.1.2" +markupsafe = ">=2.1.1" +werkzeug = ">=3.1.0" + +[package.extras] +async = ["asgiref (>=3.2)"] +dotenv = ["python-dotenv"] + +[[package]] +name = "fonttools" +version = "4.59.2" +description = "Tools to manipulate font files" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "fonttools-4.59.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2a159e36ae530650acd13604f364b3a2477eff7408dcac6a640d74a3744d2514"}, + {file = "fonttools-4.59.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8bd733e47bf4c6dee2b2d8af7a1f7b0c091909b22dbb969a29b2b991e61e5ba4"}, + {file = "fonttools-4.59.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7bb32e0e33795e3b7795bb9b88cb6a9d980d3cbe26dd57642471be547708e17a"}, + {file = "fonttools-4.59.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cdcdf7aad4bab7fd0f2938624a5a84eb4893be269f43a6701b0720b726f24df0"}, + {file = "fonttools-4.59.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4d974312a9f405628e64f475b1f5015a61fd338f0a1b61d15c4822f97d6b045b"}, + {file = "fonttools-4.59.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:12dc4670e6e6cc4553e8de190f86a549e08ca83a036363115d94a2d67488831e"}, + {file = "fonttools-4.59.2-cp310-cp310-win32.whl", hash = "sha256:1603b85d5922042563eea518e272b037baf273b9a57d0f190852b0b075079000"}, + {file = "fonttools-4.59.2-cp310-cp310-win_amd64.whl", hash = "sha256:2543b81641ea5b8ddfcae7926e62aafd5abc604320b1b119e5218c014a7a5d3c"}, + {file = "fonttools-4.59.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:511946e8d7ea5c0d6c7a53c4cb3ee48eda9ab9797cd9bf5d95829a398400354f"}, + {file = "fonttools-4.59.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8e5e2682cf7be766d84f462ba8828d01e00c8751a8e8e7ce12d7784ccb69a30d"}, + {file = "fonttools-4.59.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5729e12a982dba3eeae650de48b06f3b9ddb51e9aee2fcaf195b7d09a96250e2"}, + {file = "fonttools-4.59.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c52694eae5d652361d59ecdb5a2246bff7cff13b6367a12da8499e9df56d148d"}, + {file = "fonttools-4.59.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:f1f1bbc23ba1312bd8959896f46f667753b90216852d2a8cfa2d07e0cb234144"}, + {file = "fonttools-4.59.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1a1bfe5378962825dabe741720885e8b9ae9745ec7ecc4a5ec1f1ce59a6062bf"}, + {file = "fonttools-4.59.2-cp311-cp311-win32.whl", hash = "sha256:e937790f3c2c18a1cbc7da101550a84319eb48023a715914477d2e7faeaba570"}, + {file = "fonttools-4.59.2-cp311-cp311-win_amd64.whl", hash = "sha256:9836394e2f4ce5f9c0a7690ee93bd90aa1adc6b054f1a57b562c5d242c903104"}, + {file = "fonttools-4.59.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:82906d002c349cad647a7634b004825a7335f8159d0d035ae89253b4abf6f3ea"}, + {file = "fonttools-4.59.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a10c1bd7644dc58f8862d8ba0cf9fb7fef0af01ea184ba6ce3f50ab7dfe74d5a"}, + {file = "fonttools-4.59.2-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:738f31f23e0339785fd67652a94bc69ea49e413dfdb14dcb8c8ff383d249464e"}, + {file = "fonttools-4.59.2-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0ec99f9bdfee9cdb4a9172f9e8fd578cce5feb231f598909e0aecf5418da4f25"}, + {file = "fonttools-4.59.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0476ea74161322e08c7a982f83558a2b81b491509984523a1a540baf8611cc31"}, + {file = "fonttools-4.59.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:95922a922daa1f77cc72611747c156cfb38030ead72436a2c551d30ecef519b9"}, + {file = "fonttools-4.59.2-cp312-cp312-win32.whl", hash = "sha256:39ad9612c6a622726a6a130e8ab15794558591f999673f1ee7d2f3d30f6a3e1c"}, + {file = "fonttools-4.59.2-cp312-cp312-win_amd64.whl", hash = "sha256:980fd7388e461b19a881d35013fec32c713ffea1fc37aef2f77d11f332dfd7da"}, + {file = "fonttools-4.59.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:381bde13216ba09489864467f6bc0c57997bd729abfbb1ce6f807ba42c06cceb"}, + {file = "fonttools-4.59.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f33839aa091f7eef4e9078f5b7ab1b8ea4b1d8a50aeaef9fdb3611bba80869ec"}, + {file = "fonttools-4.59.2-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:6235fc06bcbdb40186f483ba9d5d68f888ea68aa3c8dac347e05a7c54346fbc8"}, + {file = "fonttools-4.59.2-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:83ad6e5d06ef3a2884c4fa6384a20d6367b5cfe560e3b53b07c9dc65a7020e73"}, + {file = "fonttools-4.59.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d029804c70fddf90be46ed5305c136cae15800a2300cb0f6bba96d48e770dde0"}, + {file = "fonttools-4.59.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:95807a3b5e78f2714acaa26a33bc2143005cc05c0217b322361a772e59f32b89"}, + {file = "fonttools-4.59.2-cp313-cp313-win32.whl", hash = "sha256:b3ebda00c3bb8f32a740b72ec38537d54c7c09f383a4cfefb0b315860f825b08"}, + {file = "fonttools-4.59.2-cp313-cp313-win_amd64.whl", hash = "sha256:a72155928d7053bbde499d32a9c77d3f0f3d29ae72b5a121752481bcbd71e50f"}, + {file = "fonttools-4.59.2-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:d09e487d6bfbe21195801323ba95c91cb3523f0fcc34016454d4d9ae9eaa57fe"}, + {file = "fonttools-4.59.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:dec2f22486d7781087b173799567cffdcc75e9fb2f1c045f05f8317ccce76a3e"}, + {file = "fonttools-4.59.2-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:1647201af10993090120da2e66e9526c4e20e88859f3e34aa05b8c24ded2a564"}, + {file = "fonttools-4.59.2-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:47742c33fe65f41eabed36eec2d7313a8082704b7b808752406452f766c573fc"}, + {file = "fonttools-4.59.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:92ac2d45794f95d1ad4cb43fa07e7e3776d86c83dc4b9918cf82831518165b4b"}, + {file = "fonttools-4.59.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:fa9ecaf2dcef8941fb5719e16322345d730f4c40599bbf47c9753de40eb03882"}, + {file = "fonttools-4.59.2-cp314-cp314-win32.whl", hash = "sha256:a8d40594982ed858780e18a7e4c80415af65af0f22efa7de26bdd30bf24e1e14"}, + {file = "fonttools-4.59.2-cp314-cp314-win_amd64.whl", hash = "sha256:9cde8b6a6b05f68516573523f2013a3574cb2c75299d7d500f44de82ba947b80"}, + {file = "fonttools-4.59.2-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:036cd87a2dbd7ef72f7b68df8314ced00b8d9973aee296f2464d06a836aeb9a9"}, + {file = "fonttools-4.59.2-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:14870930181493b1d740b6f25483e20185e5aea58aec7d266d16da7be822b4bb"}, + {file = "fonttools-4.59.2-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7ff58ea1eb8fc7e05e9a949419f031890023f8785c925b44d6da17a6a7d6e85d"}, + {file = "fonttools-4.59.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6dee142b8b3096514c96ad9e2106bf039e2fe34a704c587585b569a36df08c3c"}, + {file = "fonttools-4.59.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8991bdbae39cf78bcc9cd3d81f6528df1f83f2e7c23ccf6f990fa1f0b6e19708"}, + {file = "fonttools-4.59.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:53c1a411b7690042535a4f0edf2120096a39a506adeb6c51484a232e59f2aa0c"}, + {file = "fonttools-4.59.2-cp314-cp314t-win32.whl", hash = "sha256:59d85088e29fa7a8f87d19e97a1beae2a35821ee48d8ef6d2c4f965f26cb9f8a"}, + {file = "fonttools-4.59.2-cp314-cp314t-win_amd64.whl", hash = "sha256:7ad5d8d8cc9e43cb438b3eb4a0094dd6d4088daa767b0a24d52529361fd4c199"}, + {file = "fonttools-4.59.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3cdf9d32690f0e235342055f0a6108eedfccf67b213b033bac747eb809809513"}, + {file = "fonttools-4.59.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:67f9640d6b31d66c0bc54bdbe8ed50983c755521c101576a25e377a8711e8207"}, + {file = "fonttools-4.59.2-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:464d15b58a9fd4304c728735fc1d42cd812fd9ebc27c45b18e78418efd337c28"}, + {file = "fonttools-4.59.2-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a039c38d5644c691eb53cd65360921338f54e44c90b4e764605711e046c926ee"}, + {file = "fonttools-4.59.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e4f5100e66ec307cce8b52fc03e379b5d1596e9cb8d8b19dfeeccc1e68d86c96"}, + {file = "fonttools-4.59.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:af6dbd463a3530256abf21f675ddf87646272bc48901803a185c49d06287fbf1"}, + {file = "fonttools-4.59.2-cp39-cp39-win32.whl", hash = "sha256:594a6fd2f8296583ac7babc4880c8deee7c4f05ab0141addc6bce8b8e367e996"}, + {file = "fonttools-4.59.2-cp39-cp39-win_amd64.whl", hash = "sha256:fc21c4a05226fd39715f66c1c28214862474db50df9f08fd1aa2f96698887bc3"}, + {file = "fonttools-4.59.2-py3-none-any.whl", hash = "sha256:8bd0f759020e87bb5d323e6283914d9bf4ae35a7307dafb2cbd1e379e720ad37"}, + {file = "fonttools-4.59.2.tar.gz", hash = "sha256:e72c0749b06113f50bcb80332364c6be83a9582d6e3db3fe0b280f996dc2ef22"}, +] + +[package.extras] +all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0) ; python_version <= \"3.12\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"] +graphite = ["lz4 (>=1.7.4.2)"] +interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""] +lxml = ["lxml (>=4.0)"] +pathops = ["skia-pathops (>=0.5.0)"] +plot = ["matplotlib"] +repacker = ["uharfbuzz (>=0.23.0)"] +symfont = ["sympy"] +type1 = ["xattr ; sys_platform == \"darwin\""] +unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""] +woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"] + +[[package]] +name = "fqdn" +version = "1.5.1" +description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" +optional = false +python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" +groups = ["main"] +files = [ + {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, + {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, +] + +[[package]] +name = "frozenlist" +version = "1.7.0" +description = "A list-like structure which implements collections.abc.MutableSequence" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "frozenlist-1.7.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc4df77d638aa2ed703b878dd093725b72a824c3c546c076e8fdf276f78ee84a"}, + {file = "frozenlist-1.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:716a9973a2cc963160394f701964fe25012600f3d311f60c790400b00e568b61"}, + {file = "frozenlist-1.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0fd1bad056a3600047fb9462cff4c5322cebc59ebf5d0a3725e0ee78955001d"}, + {file = "frozenlist-1.7.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3789ebc19cb811163e70fe2bd354cea097254ce6e707ae42e56f45e31e96cb8e"}, + {file = "frozenlist-1.7.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:af369aa35ee34f132fcfad5be45fbfcde0e3a5f6a1ec0712857f286b7d20cca9"}, + {file = "frozenlist-1.7.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac64b6478722eeb7a3313d494f8342ef3478dff539d17002f849101b212ef97c"}, + {file = "frozenlist-1.7.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f89f65d85774f1797239693cef07ad4c97fdd0639544bad9ac4b869782eb1981"}, + {file = "frozenlist-1.7.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1073557c941395fdfcfac13eb2456cb8aad89f9de27bae29fabca8e563b12615"}, + {file = "frozenlist-1.7.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ed8d2fa095aae4bdc7fdd80351009a48d286635edffee66bf865e37a9125c50"}, + {file = "frozenlist-1.7.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:24c34bea555fe42d9f928ba0a740c553088500377448febecaa82cc3e88aa1fa"}, + {file = "frozenlist-1.7.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:69cac419ac6a6baad202c85aaf467b65ac860ac2e7f2ac1686dc40dbb52f6577"}, + {file = "frozenlist-1.7.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:960d67d0611f4c87da7e2ae2eacf7ea81a5be967861e0c63cf205215afbfac59"}, + {file = "frozenlist-1.7.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:41be2964bd4b15bf575e5daee5a5ce7ed3115320fb3c2b71fca05582ffa4dc9e"}, + {file = "frozenlist-1.7.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:46d84d49e00c9429238a7ce02dc0be8f6d7cd0cd405abd1bebdc991bf27c15bd"}, + {file = "frozenlist-1.7.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:15900082e886edb37480335d9d518cec978afc69ccbc30bd18610b7c1b22a718"}, + {file = "frozenlist-1.7.0-cp310-cp310-win32.whl", hash = "sha256:400ddd24ab4e55014bba442d917203c73b2846391dd42ca5e38ff52bb18c3c5e"}, + {file = "frozenlist-1.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:6eb93efb8101ef39d32d50bce242c84bcbddb4f7e9febfa7b524532a239b4464"}, + {file = "frozenlist-1.7.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:aa51e147a66b2d74de1e6e2cf5921890de6b0f4820b257465101d7f37b49fb5a"}, + {file = "frozenlist-1.7.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9b35db7ce1cd71d36ba24f80f0c9e7cff73a28d7a74e91fe83e23d27c7828750"}, + {file = "frozenlist-1.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:34a69a85e34ff37791e94542065c8416c1afbf820b68f720452f636d5fb990cd"}, + {file = "frozenlist-1.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a646531fa8d82c87fe4bb2e596f23173caec9185bfbca5d583b4ccfb95183e2"}, + {file = "frozenlist-1.7.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:79b2ffbba483f4ed36a0f236ccb85fbb16e670c9238313709638167670ba235f"}, + {file = "frozenlist-1.7.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a26f205c9ca5829cbf82bb2a84b5c36f7184c4316617d7ef1b271a56720d6b30"}, + {file = "frozenlist-1.7.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bcacfad3185a623fa11ea0e0634aac7b691aa925d50a440f39b458e41c561d98"}, + {file = "frozenlist-1.7.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:72c1b0fe8fe451b34f12dce46445ddf14bd2a5bcad7e324987194dc8e3a74c86"}, + {file = "frozenlist-1.7.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:61d1a5baeaac6c0798ff6edfaeaa00e0e412d49946c53fae8d4b8e8b3566c4ae"}, + {file = "frozenlist-1.7.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7edf5c043c062462f09b6820de9854bf28cc6cc5b6714b383149745e287181a8"}, + {file = "frozenlist-1.7.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:d50ac7627b3a1bd2dcef6f9da89a772694ec04d9a61b66cf87f7d9446b4a0c31"}, + {file = "frozenlist-1.7.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ce48b2fece5aeb45265bb7a58259f45027db0abff478e3077e12b05b17fb9da7"}, + {file = "frozenlist-1.7.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:fe2365ae915a1fafd982c146754e1de6ab3478def8a59c86e1f7242d794f97d5"}, + {file = "frozenlist-1.7.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:45a6f2fdbd10e074e8814eb98b05292f27bad7d1883afbe009d96abdcf3bc898"}, + {file = "frozenlist-1.7.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:21884e23cffabb157a9dd7e353779077bf5b8f9a58e9b262c6caad2ef5f80a56"}, + {file = "frozenlist-1.7.0-cp311-cp311-win32.whl", hash = "sha256:284d233a8953d7b24f9159b8a3496fc1ddc00f4db99c324bd5fb5f22d8698ea7"}, + {file = "frozenlist-1.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:387cbfdcde2f2353f19c2f66bbb52406d06ed77519ac7ee21be0232147c2592d"}, + {file = "frozenlist-1.7.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:3dbf9952c4bb0e90e98aec1bd992b3318685005702656bc6f67c1a32b76787f2"}, + {file = "frozenlist-1.7.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:1f5906d3359300b8a9bb194239491122e6cf1444c2efb88865426f170c262cdb"}, + {file = "frozenlist-1.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3dabd5a8f84573c8d10d8859a50ea2dec01eea372031929871368c09fa103478"}, + {file = "frozenlist-1.7.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa57daa5917f1738064f302bf2626281a1cb01920c32f711fbc7bc36111058a8"}, + {file = "frozenlist-1.7.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:c193dda2b6d49f4c4398962810fa7d7c78f032bf45572b3e04dd5249dff27e08"}, + {file = "frozenlist-1.7.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfe2b675cf0aaa6d61bf8fbffd3c274b3c9b7b1623beb3809df8a81399a4a9c4"}, + {file = "frozenlist-1.7.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8fc5d5cda37f62b262405cf9652cf0856839c4be8ee41be0afe8858f17f4c94b"}, + {file = "frozenlist-1.7.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0d5ce521d1dd7d620198829b87ea002956e4319002ef0bc8d3e6d045cb4646e"}, + {file = "frozenlist-1.7.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:488d0a7d6a0008ca0db273c542098a0fa9e7dfaa7e57f70acef43f32b3f69dca"}, + {file = "frozenlist-1.7.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:15a7eaba63983d22c54d255b854e8108e7e5f3e89f647fc854bd77a237e767df"}, + {file = "frozenlist-1.7.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:1eaa7e9c6d15df825bf255649e05bd8a74b04a4d2baa1ae46d9c2d00b2ca2cb5"}, + {file = "frozenlist-1.7.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e4389e06714cfa9d47ab87f784a7c5be91d3934cd6e9a7b85beef808297cc025"}, + {file = "frozenlist-1.7.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:73bd45e1488c40b63fe5a7df892baf9e2a4d4bb6409a2b3b78ac1c6236178e01"}, + {file = "frozenlist-1.7.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:99886d98e1643269760e5fe0df31e5ae7050788dd288947f7f007209b8c33f08"}, + {file = "frozenlist-1.7.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:290a172aae5a4c278c6da8a96222e6337744cd9c77313efe33d5670b9f65fc43"}, + {file = "frozenlist-1.7.0-cp312-cp312-win32.whl", hash = "sha256:426c7bc70e07cfebc178bc4c2bf2d861d720c4fff172181eeb4a4c41d4ca2ad3"}, + {file = "frozenlist-1.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:563b72efe5da92e02eb68c59cb37205457c977aa7a449ed1b37e6939e5c47c6a"}, + {file = "frozenlist-1.7.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ee80eeda5e2a4e660651370ebffd1286542b67e268aa1ac8d6dbe973120ef7ee"}, + {file = "frozenlist-1.7.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d1a81c85417b914139e3a9b995d4a1c84559afc839a93cf2cb7f15e6e5f6ed2d"}, + {file = "frozenlist-1.7.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:cbb65198a9132ebc334f237d7b0df163e4de83fb4f2bdfe46c1e654bdb0c5d43"}, + {file = "frozenlist-1.7.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dab46c723eeb2c255a64f9dc05b8dd601fde66d6b19cdb82b2e09cc6ff8d8b5d"}, + {file = "frozenlist-1.7.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:6aeac207a759d0dedd2e40745575ae32ab30926ff4fa49b1635def65806fddee"}, + {file = "frozenlist-1.7.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bd8c4e58ad14b4fa7802b8be49d47993182fdd4023393899632c88fd8cd994eb"}, + {file = "frozenlist-1.7.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04fb24d104f425da3540ed83cbfc31388a586a7696142004c577fa61c6298c3f"}, + {file = "frozenlist-1.7.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6a5c505156368e4ea6b53b5ac23c92d7edc864537ff911d2fb24c140bb175e60"}, + {file = "frozenlist-1.7.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8bd7eb96a675f18aa5c553eb7ddc24a43c8c18f22e1f9925528128c052cdbe00"}, + {file = "frozenlist-1.7.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:05579bf020096fe05a764f1f84cd104a12f78eaab68842d036772dc6d4870b4b"}, + {file = "frozenlist-1.7.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:376b6222d114e97eeec13d46c486facd41d4f43bab626b7c3f6a8b4e81a5192c"}, + {file = "frozenlist-1.7.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:0aa7e176ebe115379b5b1c95b4096fb1c17cce0847402e227e712c27bdb5a949"}, + {file = "frozenlist-1.7.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3fbba20e662b9c2130dc771e332a99eff5da078b2b2648153a40669a6d0e36ca"}, + {file = "frozenlist-1.7.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:f3f4410a0a601d349dd406b5713fec59b4cee7e71678d5b17edda7f4655a940b"}, + {file = "frozenlist-1.7.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e2cdfaaec6a2f9327bf43c933c0319a7c429058e8537c508964a133dffee412e"}, + {file = "frozenlist-1.7.0-cp313-cp313-win32.whl", hash = "sha256:5fc4df05a6591c7768459caba1b342d9ec23fa16195e744939ba5914596ae3e1"}, + {file = "frozenlist-1.7.0-cp313-cp313-win_amd64.whl", hash = "sha256:52109052b9791a3e6b5d1b65f4b909703984b770694d3eb64fad124c835d7cba"}, + {file = "frozenlist-1.7.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:a6f86e4193bb0e235ef6ce3dde5cbabed887e0b11f516ce8a0f4d3b33078ec2d"}, + {file = "frozenlist-1.7.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:82d664628865abeb32d90ae497fb93df398a69bb3434463d172b80fc25b0dd7d"}, + {file = "frozenlist-1.7.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:912a7e8375a1c9a68325a902f3953191b7b292aa3c3fb0d71a216221deca460b"}, + {file = "frozenlist-1.7.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9537c2777167488d539bc5de2ad262efc44388230e5118868e172dd4a552b146"}, + {file = "frozenlist-1.7.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:f34560fb1b4c3e30ba35fa9a13894ba39e5acfc5f60f57d8accde65f46cc5e74"}, + {file = "frozenlist-1.7.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:acd03d224b0175f5a850edc104ac19040d35419eddad04e7cf2d5986d98427f1"}, + {file = "frozenlist-1.7.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f2038310bc582f3d6a09b3816ab01737d60bf7b1ec70f5356b09e84fb7408ab1"}, + {file = "frozenlist-1.7.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b8c05e4c8e5f36e5e088caa1bf78a687528f83c043706640a92cb76cd6999384"}, + {file = "frozenlist-1.7.0-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:765bb588c86e47d0b68f23c1bee323d4b703218037765dcf3f25c838c6fecceb"}, + {file = "frozenlist-1.7.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:32dc2e08c67d86d0969714dd484fd60ff08ff81d1a1e40a77dd34a387e6ebc0c"}, + {file = "frozenlist-1.7.0-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:c0303e597eb5a5321b4de9c68e9845ac8f290d2ab3f3e2c864437d3c5a30cd65"}, + {file = "frozenlist-1.7.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:a47f2abb4e29b3a8d0b530f7c3598badc6b134562b1a5caee867f7c62fee51e3"}, + {file = "frozenlist-1.7.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:3d688126c242a6fabbd92e02633414d40f50bb6002fa4cf995a1d18051525657"}, + {file = "frozenlist-1.7.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:4e7e9652b3d367c7bd449a727dc79d5043f48b88d0cbfd4f9f1060cf2b414104"}, + {file = "frozenlist-1.7.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:1a85e345b4c43db8b842cab1feb41be5cc0b10a1830e6295b69d7310f99becaf"}, + {file = "frozenlist-1.7.0-cp313-cp313t-win32.whl", hash = "sha256:3a14027124ddb70dfcee5148979998066897e79f89f64b13328595c4bdf77c81"}, + {file = "frozenlist-1.7.0-cp313-cp313t-win_amd64.whl", hash = "sha256:3bf8010d71d4507775f658e9823210b7427be36625b387221642725b515dcf3e"}, + {file = "frozenlist-1.7.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cea3dbd15aea1341ea2de490574a4a37ca080b2ae24e4b4f4b51b9057b4c3630"}, + {file = "frozenlist-1.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7d536ee086b23fecc36c2073c371572374ff50ef4db515e4e503925361c24f71"}, + {file = "frozenlist-1.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dfcebf56f703cb2e346315431699f00db126d158455e513bd14089d992101e44"}, + {file = "frozenlist-1.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:974c5336e61d6e7eb1ea5b929cb645e882aadab0095c5a6974a111e6479f8878"}, + {file = "frozenlist-1.7.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:c70db4a0ab5ab20878432c40563573229a7ed9241506181bba12f6b7d0dc41cb"}, + {file = "frozenlist-1.7.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1137b78384eebaf70560a36b7b229f752fb64d463d38d1304939984d5cb887b6"}, + {file = "frozenlist-1.7.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e793a9f01b3e8b5c0bc646fb59140ce0efcc580d22a3468d70766091beb81b35"}, + {file = "frozenlist-1.7.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74739ba8e4e38221d2c5c03d90a7e542cb8ad681915f4ca8f68d04f810ee0a87"}, + {file = "frozenlist-1.7.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e63344c4e929b1a01e29bc184bbb5fd82954869033765bfe8d65d09e336a677"}, + {file = "frozenlist-1.7.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:2ea2a7369eb76de2217a842f22087913cdf75f63cf1307b9024ab82dfb525938"}, + {file = "frozenlist-1.7.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:836b42f472a0e006e02499cef9352ce8097f33df43baaba3e0a28a964c26c7d2"}, + {file = "frozenlist-1.7.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e22b9a99741294b2571667c07d9f8cceec07cb92aae5ccda39ea1b6052ed4319"}, + {file = "frozenlist-1.7.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:9a19e85cc503d958abe5218953df722748d87172f71b73cf3c9257a91b999890"}, + {file = "frozenlist-1.7.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:f22dac33bb3ee8fe3e013aa7b91dc12f60d61d05b7fe32191ffa84c3aafe77bd"}, + {file = "frozenlist-1.7.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:9ccec739a99e4ccf664ea0775149f2749b8a6418eb5b8384b4dc0a7d15d304cb"}, + {file = "frozenlist-1.7.0-cp39-cp39-win32.whl", hash = "sha256:b3950f11058310008a87757f3eee16a8e1ca97979833239439586857bc25482e"}, + {file = "frozenlist-1.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:43a82fce6769c70f2f5a06248b614a7d268080a9d20f7457ef10ecee5af82b63"}, + {file = "frozenlist-1.7.0-py3-none-any.whl", hash = "sha256:9a5af342e34f7e97caf8c995864c7a396418ae2859cc6fdf1b1073020d516a7e"}, + {file = "frozenlist-1.7.0.tar.gz", hash = "sha256:2e310d81923c2437ea8670467121cc3e9b0f76d3043cc1d2331d56c7fb7a3a8f"}, +] + +[[package]] +name = "fsspec" +version = "2025.3.0" +description = "File-system specification" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3"}, + {file = "fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972"}, +] + +[package.dependencies] +aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""} + +[package.extras] +abfs = ["adlfs"] +adl = ["adlfs"] +arrow = ["pyarrow (>=1)"] +dask = ["dask", "distributed"] +dev = ["pre-commit", "ruff"] +doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] +dropbox = ["dropbox", "dropboxdrivefs", "requests"] +full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] +fuse = ["fusepy"] +gcs = ["gcsfs"] +git = ["pygit2"] +github = ["requests"] +gs = ["gcsfs"] +gui = ["panel"] +hdfs = ["pyarrow (>=1)"] +http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] +libarchive = ["libarchive-c"] +oci = ["ocifs"] +s3 = ["s3fs"] +sftp = ["paramiko"] +smb = ["smbprotocol"] +ssh = ["paramiko"] +test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] +test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] +tqdm = ["tqdm"] + +[[package]] +name = "future" +version = "1.0.0" +description = "Clean single-source support for Python 3 and 2" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +groups = ["main"] +files = [ + {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"}, + {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"}, +] + +[[package]] +name = "gitdb" +version = "4.0.12" +description = "Git Object Database" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"}, + {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"}, +] + +[package.dependencies] +smmap = ">=3.0.1,<6" + +[[package]] +name = "gitpython" +version = "3.1.45" +description = "GitPython is a Python library used to interact with Git repositories" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "gitpython-3.1.45-py3-none-any.whl", hash = "sha256:8908cb2e02fb3b93b7eb0f2827125cb699869470432cc885f019b8fd0fccff77"}, + {file = "gitpython-3.1.45.tar.gz", hash = "sha256:85b0ee964ceddf211c41b9f27a49086010a190fd8132a24e21f362a4b36a791c"}, +] + +[package.dependencies] +gitdb = ">=4.0.1,<5" + +[package.extras] +doc = ["sphinx (>=7.1.2,<7.2)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"] +test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""] + +[[package]] +name = "google-auth" +version = "2.40.3" +description = "Google Authentication Library" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"}, + {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"}, +] + +[package.dependencies] +cachetools = ">=2.0.0,<6.0" +pyasn1-modules = ">=0.2.1" +rsa = ">=3.1.4,<5" + +[package.extras] +aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"] +enterprise-cert = ["cryptography", "pyopenssl"] +pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"] +pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] +reauth = ["pyu2f (>=0.1.5)"] +requests = ["requests (>=2.20.0,<3.0.0)"] +testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"] +urllib3 = ["packaging", "urllib3"] + +[[package]] +name = "gradio" +version = "5.45.0" +description = "Python library for easily interacting with trained machine learning models" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "gradio-5.45.0-py3-none-any.whl", hash = "sha256:71f3fdefa9a0f64d4bf48ebdb132e287bf81679be094124144dd55fbcf538097"}, + {file = "gradio-5.45.0.tar.gz", hash = "sha256:a45a0c868566d1db27cf77994a8f529fe5ce5b2673b9d2b9f3d99b4fbc1f89c7"}, +] + +[package.dependencies] +aiofiles = ">=22.0,<25.0" +anyio = ">=3.0,<5.0" +audioop-lts = {version = "<1.0", markers = "python_version >= \"3.13\""} +brotli = ">=1.1.0" +fastapi = ">=0.115.2,<1.0" +ffmpy = "*" +gradio-client = "1.13.0" +groovy = ">=0.1,<1.0" +httpx = ">=0.24.1,<1.0" +huggingface-hub = ">=0.33.5,<1.0" +jinja2 = "<4.0" +markupsafe = ">=2.0,<4.0" +numpy = ">=1.0,<3.0" +orjson = ">=3.0,<4.0" +packaging = "*" +pandas = ">=1.0,<3.0" +pillow = ">=8.0,<12.0" +pydantic = ">=2.0,<2.12" +pydub = "*" +python-multipart = ">=0.0.18" +pyyaml = ">=5.0,<7.0" +ruff = {version = ">=0.9.3", markers = "sys_platform != \"emscripten\""} +safehttpx = ">=0.1.6,<0.2.0" +semantic-version = ">=2.0,<3.0" +starlette = {version = ">=0.40.0,<1.0", markers = "sys_platform != \"emscripten\""} +tomlkit = ">=0.12.0,<0.14.0" +typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""} +typing-extensions = ">=4.0,<5.0" +urllib3 = {version = ">=2.0,<3.0", markers = "sys_platform == \"emscripten\""} +uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""} + +[package.extras] +mcp = ["mcp (==1.10.1)", "pydantic (>=2.11) ; sys_platform != \"emscripten\""] +oauth = ["authlib", "itsdangerous"] + +[[package]] +name = "gradio-client" +version = "1.13.0" +description = "Python library for easily interacting with trained machine learning models" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "gradio_client-1.13.0-py3-none-any.whl", hash = "sha256:4489ebd07ae40c6cc7a6a02cf60a53e9e3345aa5342a3814c356775bbad64bbc"}, + {file = "gradio_client-1.13.0.tar.gz", hash = "sha256:07de7e8e58553335d56e0c7db6af60f1205fd1f167bf07f3e0f587888695a8f3"}, +] + +[package.dependencies] +fsspec = "*" +httpx = ">=0.24.1" +huggingface-hub = ">=0.19.3" +packaging = "*" +typing-extensions = ">=4.0,<5.0" +websockets = ">=10.0,<16.0" + +[[package]] +name = "graphene" +version = "3.4.3" +description = "GraphQL Framework for Python" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "graphene-3.4.3-py2.py3-none-any.whl", hash = "sha256:820db6289754c181007a150db1f7fff544b94142b556d12e3ebc777a7bf36c71"}, + {file = "graphene-3.4.3.tar.gz", hash = "sha256:2a3786948ce75fe7e078443d37f609cbe5bb36ad8d6b828740ad3b95ed1a0aaa"}, +] + +[package.dependencies] +graphql-core = ">=3.1,<3.3" +graphql-relay = ">=3.1,<3.3" +python-dateutil = ">=2.7.0,<3" +typing-extensions = ">=4.7.1,<5" + +[package.extras] +dev = ["coveralls (>=3.3,<5)", "mypy (>=1.10,<2)", "pytest (>=8,<9)", "pytest-asyncio (>=0.16,<2)", "pytest-benchmark (>=4,<5)", "pytest-cov (>=5,<6)", "pytest-mock (>=3,<4)", "ruff (==0.5.0)", "types-python-dateutil (>=2.8.1,<3)"] +test = ["coveralls (>=3.3,<5)", "pytest (>=8,<9)", "pytest-asyncio (>=0.16,<2)", "pytest-benchmark (>=4,<5)", "pytest-cov (>=5,<6)", "pytest-mock (>=3,<4)"] + +[[package]] +name = "graphql-core" +version = "3.2.6" +description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL." +optional = false +python-versions = "<4,>=3.6" +groups = ["main"] +files = [ + {file = "graphql_core-3.2.6-py3-none-any.whl", hash = "sha256:78b016718c161a6fb20a7d97bbf107f331cd1afe53e45566c59f776ed7f0b45f"}, + {file = "graphql_core-3.2.6.tar.gz", hash = "sha256:c08eec22f9e40f0bd61d805907e3b3b1b9a320bc606e23dc145eebca07c8fbab"}, +] + +[[package]] +name = "graphql-relay" +version = "3.2.0" +description = "Relay library for graphql-core" +optional = false +python-versions = ">=3.6,<4" +groups = ["main"] +files = [ + {file = "graphql-relay-3.2.0.tar.gz", hash = "sha256:1ff1c51298356e481a0be009ccdff249832ce53f30559c1338f22a0e0d17250c"}, + {file = "graphql_relay-3.2.0-py3-none-any.whl", hash = "sha256:c9b22bd28b170ba1fe674c74384a8ff30a76c8e26f88ac3aa1584dd3179953e5"}, +] + +[package.dependencies] +graphql-core = ">=3.2,<3.3" + +[[package]] +name = "greenlet" +version = "3.2.4" +description = "Lightweight in-process concurrent programming" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")" +files = [ + {file = "greenlet-3.2.4-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:8c68325b0d0acf8d91dde4e6f930967dd52a5302cd4062932a6b2e7c2969f47c"}, + {file = "greenlet-3.2.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:94385f101946790ae13da500603491f04a76b6e4c059dab271b3ce2e283b2590"}, + {file = "greenlet-3.2.4-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f10fd42b5ee276335863712fa3da6608e93f70629c631bf77145021600abc23c"}, + {file = "greenlet-3.2.4-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:c8c9e331e58180d0d83c5b7999255721b725913ff6bc6cf39fa2a45841a4fd4b"}, + {file = "greenlet-3.2.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:58b97143c9cc7b86fc458f215bd0932f1757ce649e05b640fea2e79b54cedb31"}, + {file = "greenlet-3.2.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c2ca18a03a8cfb5b25bc1cbe20f3d9a4c80d8c3b13ba3df49ac3961af0b1018d"}, + {file = "greenlet-3.2.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9fe0a28a7b952a21e2c062cd5756d34354117796c6d9215a87f55e38d15402c5"}, + {file = "greenlet-3.2.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8854167e06950ca75b898b104b63cc646573aa5fef1353d4508ecdd1ee76254f"}, + {file = "greenlet-3.2.4-cp310-cp310-win_amd64.whl", hash = "sha256:73f49b5368b5359d04e18d15828eecc1806033db5233397748f4ca813ff1056c"}, + {file = "greenlet-3.2.4-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:96378df1de302bc38e99c3a9aa311967b7dc80ced1dcc6f171e99842987882a2"}, + {file = "greenlet-3.2.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1ee8fae0519a337f2329cb78bd7a8e128ec0f881073d43f023c7b8d4831d5246"}, + {file = "greenlet-3.2.4-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:94abf90142c2a18151632371140b3dba4dee031633fe614cb592dbb6c9e17bc3"}, + {file = "greenlet-3.2.4-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:4d1378601b85e2e5171b99be8d2dc85f594c79967599328f95c1dc1a40f1c633"}, + {file = "greenlet-3.2.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0db5594dce18db94f7d1650d7489909b57afde4c580806b8d9203b6e79cdc079"}, + {file = "greenlet-3.2.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2523e5246274f54fdadbce8494458a2ebdcdbc7b802318466ac5606d3cded1f8"}, + {file = "greenlet-3.2.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1987de92fec508535687fb807a5cea1560f6196285a4cde35c100b8cd632cc52"}, + {file = "greenlet-3.2.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:55e9c5affaa6775e2c6b67659f3a71684de4c549b3dd9afca3bc773533d284fa"}, + {file = "greenlet-3.2.4-cp311-cp311-win_amd64.whl", hash = "sha256:9c40adce87eaa9ddb593ccb0fa6a07caf34015a29bf8d344811665b573138db9"}, + {file = "greenlet-3.2.4-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:3b67ca49f54cede0186854a008109d6ee71f66bd57bb36abd6d0a0267b540cdd"}, + {file = "greenlet-3.2.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ddf9164e7a5b08e9d22511526865780a576f19ddd00d62f8a665949327fde8bb"}, + {file = "greenlet-3.2.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f28588772bb5fb869a8eb331374ec06f24a83a9c25bfa1f38b6993afe9c1e968"}, + {file = "greenlet-3.2.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:5c9320971821a7cb77cfab8d956fa8e39cd07ca44b6070db358ceb7f8797c8c9"}, + {file = "greenlet-3.2.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c60a6d84229b271d44b70fb6e5fa23781abb5d742af7b808ae3f6efd7c9c60f6"}, + {file = "greenlet-3.2.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3b3812d8d0c9579967815af437d96623f45c0f2ae5f04e366de62a12d83a8fb0"}, + {file = "greenlet-3.2.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:abbf57b5a870d30c4675928c37278493044d7c14378350b3aa5d484fa65575f0"}, + {file = "greenlet-3.2.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:20fb936b4652b6e307b8f347665e2c615540d4b42b3b4c8a321d8286da7e520f"}, + {file = "greenlet-3.2.4-cp312-cp312-win_amd64.whl", hash = "sha256:a7d4e128405eea3814a12cc2605e0e6aedb4035bf32697f72deca74de4105e02"}, + {file = "greenlet-3.2.4-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:1a921e542453fe531144e91e1feedf12e07351b1cf6c9e8a3325ea600a715a31"}, + {file = "greenlet-3.2.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cd3c8e693bff0fff6ba55f140bf390fa92c994083f838fece0f63be121334945"}, + {file = "greenlet-3.2.4-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:710638eb93b1fa52823aa91bf75326f9ecdfd5e0466f00789246a5280f4ba0fc"}, + {file = "greenlet-3.2.4-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:c5111ccdc9c88f423426df3fd1811bfc40ed66264d35aa373420a34377efc98a"}, + {file = "greenlet-3.2.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d76383238584e9711e20ebe14db6c88ddcedc1829a9ad31a584389463b5aa504"}, + {file = "greenlet-3.2.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:23768528f2911bcd7e475210822ffb5254ed10d71f4028387e5a99b4c6699671"}, + {file = "greenlet-3.2.4-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:00fadb3fedccc447f517ee0d3fd8fe49eae949e1cd0f6a611818f4f6fb7dc83b"}, + {file = "greenlet-3.2.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:d25c5091190f2dc0eaa3f950252122edbbadbb682aa7b1ef2f8af0f8c0afefae"}, + {file = "greenlet-3.2.4-cp313-cp313-win_amd64.whl", hash = "sha256:554b03b6e73aaabec3745364d6239e9e012d64c68ccd0b8430c64ccc14939a8b"}, + {file = "greenlet-3.2.4-cp314-cp314-macosx_11_0_universal2.whl", hash = "sha256:49a30d5fda2507ae77be16479bdb62a660fa51b1eb4928b524975b3bde77b3c0"}, + {file = "greenlet-3.2.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:299fd615cd8fc86267b47597123e3f43ad79c9d8a22bebdce535e53550763e2f"}, + {file = "greenlet-3.2.4-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:c17b6b34111ea72fc5a4e4beec9711d2226285f0386ea83477cbb97c30a3f3a5"}, + {file = "greenlet-3.2.4-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b4a1870c51720687af7fa3e7cda6d08d801dae660f75a76f3845b642b4da6ee1"}, + {file = "greenlet-3.2.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:061dc4cf2c34852b052a8620d40f36324554bc192be474b9e9770e8c042fd735"}, + {file = "greenlet-3.2.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:44358b9bf66c8576a9f57a590d5f5d6e72fa4228b763d0e43fee6d3b06d3a337"}, + {file = "greenlet-3.2.4-cp314-cp314-win_amd64.whl", hash = "sha256:e37ab26028f12dbb0ff65f29a8d3d44a765c61e729647bf2ddfbbed621726f01"}, + {file = "greenlet-3.2.4-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:b6a7c19cf0d2742d0809a4c05975db036fdff50cd294a93632d6a310bf9ac02c"}, + {file = "greenlet-3.2.4-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:27890167f55d2387576d1f41d9487ef171849ea0359ce1510ca6e06c8bece11d"}, + {file = "greenlet-3.2.4-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:18d9260df2b5fbf41ae5139e1be4e796d99655f023a636cd0e11e6406cca7d58"}, + {file = "greenlet-3.2.4-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:671df96c1f23c4a0d4077a325483c1503c96a1b7d9db26592ae770daa41233d4"}, + {file = "greenlet-3.2.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:16458c245a38991aa19676900d48bd1a6f2ce3e16595051a4db9d012154e8433"}, + {file = "greenlet-3.2.4-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c9913f1a30e4526f432991f89ae263459b1c64d1608c0d22a5c79c287b3c70df"}, + {file = "greenlet-3.2.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b90654e092f928f110e0007f572007c9727b5265f7632c2fa7415b4689351594"}, + {file = "greenlet-3.2.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:81701fd84f26330f0d5f4944d4e92e61afe6319dcd9775e39396e39d7c3e5f98"}, + {file = "greenlet-3.2.4-cp39-cp39-win32.whl", hash = "sha256:65458b409c1ed459ea899e939f0e1cdb14f58dbc803f2f93c5eab5694d32671b"}, + {file = "greenlet-3.2.4-cp39-cp39-win_amd64.whl", hash = "sha256:d2e685ade4dafd447ede19c31277a224a239a0a1a4eca4e6390efedf20260cfb"}, + {file = "greenlet-3.2.4.tar.gz", hash = "sha256:0dca0d95ff849f9a364385f36ab49f50065d76964944638be9691e1832e9f86d"}, +] + +[package.extras] +docs = ["Sphinx", "furo"] +test = ["objgraph", "psutil", "setuptools"] + +[[package]] +name = "groovy" +version = "0.1.2" +description = "A small Python library created to help developers protect their applications from Server Side Request Forgery (SSRF) attacks." +optional = false +python-versions = ">3.9" +groups = ["main"] +files = [ + {file = "groovy-0.1.2-py3-none-any.whl", hash = "sha256:7f7975bab18c729a257a8b1ae9dcd70b7cafb1720481beae47719af57c35fa64"}, + {file = "groovy-0.1.2.tar.gz", hash = "sha256:25c1dc09b3f9d7e292458aa762c6beb96ea037071bf5e917fc81fb78d2231083"}, +] + +[package.extras] +dev = ["pytest", "ruff (==0.9.3)"] + +[[package]] +name = "gunicorn" +version = "23.0.0" +description = "WSGI HTTP Server for UNIX" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "platform_system != \"Windows\"" +files = [ + {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"}, + {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"}, +] + +[package.dependencies] +packaging = "*" + +[package.extras] +eventlet = ["eventlet (>=0.24.1,!=0.36.0)"] +gevent = ["gevent (>=1.4.0)"] +setproctitle = ["setproctitle"] +testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"] +tornado = ["tornado (>=0.2)"] + +[[package]] +name = "h11" +version = "0.16.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, + {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, +] + +[[package]] +name = "hf-xet" +version = "1.1.10" +description = "Fast transfer of large files with the Hugging Face Hub." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" +files = [ + {file = "hf_xet-1.1.10-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:686083aca1a6669bc85c21c0563551cbcdaa5cf7876a91f3d074a030b577231d"}, + {file = "hf_xet-1.1.10-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:71081925383b66b24eedff3013f8e6bbd41215c3338be4b94ba75fd75b21513b"}, + {file = "hf_xet-1.1.10-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b6bceb6361c80c1cc42b5a7b4e3efd90e64630bcf11224dcac50ef30a47e435"}, + {file = "hf_xet-1.1.10-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:eae7c1fc8a664e54753ffc235e11427ca61f4b0477d757cc4eb9ae374b69f09c"}, + {file = "hf_xet-1.1.10-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0a0005fd08f002180f7a12d4e13b22be277725bc23ed0529f8add5c7a6309c06"}, + {file = "hf_xet-1.1.10-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f900481cf6e362a6c549c61ff77468bd59d6dd082f3170a36acfef2eb6a6793f"}, + {file = "hf_xet-1.1.10-cp37-abi3-win_amd64.whl", hash = "sha256:5f54b19cc347c13235ae7ee98b330c26dd65ef1df47e5316ffb1e87713ca7045"}, + {file = "hf_xet-1.1.10.tar.gz", hash = "sha256:408aef343800a2102374a883f283ff29068055c111f003ff840733d3b715bb97"}, +] + +[package.extras] +tests = ["pytest"] + +[[package]] +name = "httpcore" +version = "1.0.9" +description = "A minimal low-level HTTP client." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, + {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, +] + +[package.dependencies] +certifi = "*" +h11 = ">=0.16" + +[package.extras] +asyncio = ["anyio (>=4.0,<5.0)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +trio = ["trio (>=0.22.0,<1.0)"] + +[[package]] +name = "httpx" +version = "0.28.1" +description = "The next generation HTTP client." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, + {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, +] + +[package.dependencies] +anyio = "*" +certifi = "*" +httpcore = "==1.*" +idna = "*" + +[package.extras] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] +cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "huggingface-hub" +version = "0.34.4" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +files = [ + {file = "huggingface_hub-0.34.4-py3-none-any.whl", hash = "sha256:9b365d781739c93ff90c359844221beef048403f1bc1f1c123c191257c3c890a"}, + {file = "huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c"}, +] + +[package.dependencies] +filelock = "*" +fsspec = ">=2023.5.0" +hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} +packaging = ">=20.9" +pyyaml = ">=5.1" +requests = "*" +tqdm = ">=4.42.1" +typing-extensions = ">=3.7.4.3" + +[package.extras] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +cli = ["InquirerPy (==0.3.4)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] +hf-transfer = ["hf-transfer (>=0.1.4)"] +hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] +inference = ["aiohttp"] +mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] +oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +tensorflow-testing = ["keras (<3.0)", "tensorflow"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +torch = ["safetensors[torch]", "torch"] +typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] + +[[package]] +name = "identify" +version = "2.6.14" +description = "File identification library for Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "identify-2.6.14-py2.py3-none-any.whl", hash = "sha256:11a073da82212c6646b1f39bb20d4483bfb9543bd5566fec60053c4bb309bf2e"}, + {file = "identify-2.6.14.tar.gz", hash = "sha256:663494103b4f717cb26921c52f8751363dc89db64364cd836a9bf1535f53cd6a"}, +] + +[package.extras] +license = ["ukkonen"] + +[[package]] +name = "idna" +version = "3.10" +description = "Internationalized Domain Names in Applications (IDNA)" +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"}, + {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"}, +] + +[package.extras] +all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"] + +[[package]] +name = "importlib-metadata" +version = "8.7.0" +description = "Read metadata from Python packages" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"}, + {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"}, +] + +[package.dependencies] +zipp = ">=3.20" + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +perf = ["ipython"] +test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] +type = ["pytest-mypy"] + +[[package]] +name = "ipykernel" +version = "6.30.1" +description = "IPython Kernel for Jupyter" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "ipykernel-6.30.1-py3-none-any.whl", hash = "sha256:aa6b9fb93dca949069d8b85b6c79b2518e32ac583ae9c7d37c51d119e18b3fb4"}, + {file = "ipykernel-6.30.1.tar.gz", hash = "sha256:6abb270161896402e76b91394fcdce5d1be5d45f456671e5080572f8505be39b"}, +] + +[package.dependencies] +appnope = {version = ">=0.1.2", markers = "platform_system == \"Darwin\""} +comm = ">=0.1.1" +debugpy = ">=1.6.5" +ipython = ">=7.23.1" +jupyter-client = ">=8.0.0" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +matplotlib-inline = ">=0.1" +nest-asyncio = ">=1.4" +packaging = ">=22" +psutil = ">=5.7" +pyzmq = ">=25" +tornado = ">=6.2" +traitlets = ">=5.4.0" + +[package.extras] +cov = ["coverage[toml]", "matplotlib", "pytest-cov", "trio"] +docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] +pyqt5 = ["pyqt5"] +pyside6 = ["pyside6"] +test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0,<9)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "ipython" +version = "9.5.0" +description = "IPython: Productive Interactive Computing" +optional = false +python-versions = ">=3.11" +groups = ["main"] +files = [ + {file = "ipython-9.5.0-py3-none-any.whl", hash = "sha256:88369ffa1d5817d609120daa523a6da06d02518e582347c29f8451732a9c5e72"}, + {file = "ipython-9.5.0.tar.gz", hash = "sha256:129c44b941fe6d9b82d36fc7a7c18127ddb1d6f02f78f867f402e2e3adde3113"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +decorator = "*" +ipython-pygments-lexers = "*" +jedi = ">=0.16" +matplotlib-inline = "*" +pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} +prompt_toolkit = ">=3.0.41,<3.1.0" +pygments = ">=2.4.0" +stack_data = "*" +traitlets = ">=5.13.0" +typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} + +[package.extras] +all = ["ipython[doc,matplotlib,test,test-extra]"] +black = ["black"] +doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"] +matplotlib = ["matplotlib"] +test = ["packaging", "pytest", "pytest-asyncio", "testpath"] +test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"] + +[[package]] +name = "ipython-pygments-lexers" +version = "1.1.1" +description = "Defines a variety of Pygments lexers for highlighting IPython code." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"}, + {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"}, +] + +[package.dependencies] +pygments = "*" + +[[package]] +name = "ipywidgets" +version = "8.1.7" +description = "Jupyter interactive widgets" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb"}, + {file = "ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376"}, +] + +[package.dependencies] +comm = ">=0.1.3" +ipython = ">=6.1.0" +jupyterlab_widgets = ">=3.0.15,<3.1.0" +traitlets = ">=4.3.1" +widgetsnbextension = ">=4.0.14,<4.1.0" + +[package.extras] +test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] + +[[package]] +name = "isodate" +version = "0.7.2" +description = "An ISO 8601 date/time/duration parser and formatter" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"}, + {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"}, +] + +[[package]] +name = "isoduration" +version = "20.11.0" +description = "Operations with ISO 8601 durations" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, + {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, +] + +[package.dependencies] +arrow = ">=0.15.0" + +[[package]] +name = "itsdangerous" +version = "2.2.0" +description = "Safely pass data to untrusted environments and back." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"}, + {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"}, +] + +[[package]] +name = "jedi" +version = "0.19.2" +description = "An autocompletion tool for Python that can be used for text editors." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, + {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, +] + +[package.dependencies] +parso = ">=0.8.4,<0.9.0" + +[package.extras] +docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"] + +[[package]] +name = "jinja2" +version = "3.1.6" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, + {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, +] + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "jiwer" +version = "4.0.0" +description = "Evaluate your speech-to-text system with similarity measures such as word error rate (WER)" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jiwer-4.0.0-py3-none-any.whl", hash = "sha256:7efaf0bd336b095d99ddef9dd67e1ee829d75d58aa2a81d9639870b01d6d95ea"}, + {file = "jiwer-4.0.0.tar.gz", hash = "sha256:ae9c051469102a61ef0927100baeeb4546f78d180c9b0948281d08eaf44c191e"}, +] + +[package.dependencies] +click = ">=8.1.8" +rapidfuzz = ">=3.9.7" + +[[package]] +name = "joblib" +version = "1.5.2" +description = "Lightweight pipelining with Python functions" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "joblib-1.5.2-py3-none-any.whl", hash = "sha256:4e1f0bdbb987e6d843c70cf43714cb276623def372df3c22fe5266b2670bc241"}, + {file = "joblib-1.5.2.tar.gz", hash = "sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55"}, +] + +[[package]] +name = "json5" +version = "0.12.1" +description = "A Python implementation of the JSON5 data format." +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +files = [ + {file = "json5-0.12.1-py3-none-any.whl", hash = "sha256:d9c9b3bc34a5f54d43c35e11ef7cb87d8bdd098c6ace87117a7b7e83e705c1d5"}, + {file = "json5-0.12.1.tar.gz", hash = "sha256:b2743e77b3242f8d03c143dd975a6ec7c52e2f2afe76ed934e53503dd4ad4990"}, +] + +[package.extras] +dev = ["build (==1.2.2.post1)", "coverage (==7.5.4) ; python_version < \"3.9\"", "coverage (==7.8.0) ; python_version >= \"3.9\"", "mypy (==1.14.1) ; python_version < \"3.9\"", "mypy (==1.15.0) ; python_version >= \"3.9\"", "pip (==25.0.1)", "pylint (==3.2.7) ; python_version < \"3.9\"", "pylint (==3.3.6) ; python_version >= \"3.9\"", "ruff (==0.11.2)", "twine (==6.1.0)", "uv (==0.6.11)"] + +[[package]] +name = "jsonpickle" +version = "4.1.1" +description = "jsonpickle encodes/decodes any Python object to/from JSON" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jsonpickle-4.1.1-py3-none-any.whl", hash = "sha256:bb141da6057898aa2438ff268362b126826c812a1721e31cf08a6e142910dc91"}, + {file = "jsonpickle-4.1.1.tar.gz", hash = "sha256:f86e18f13e2b96c1c1eede0b7b90095bbb61d99fedc14813c44dc2f361dbbae1"}, +] + +[package.extras] +cov = ["pytest-cov"] +dev = ["black", "pyupgrade"] +docs = ["furo", "rst.linker (>=1.9)", "sphinx (>=3.5)"] +packaging = ["build", "setuptools (>=61.2)", "setuptools_scm[toml] (>=6.0)", "twine"] +testing = ["PyYAML", "atheris (>=2.3.0,<2.4.0) ; python_version < \"3.12\"", "bson", "ecdsa", "feedparser", "gmpy2", "numpy", "pandas", "pymongo", "pytest (>=6.0,!=8.1.*)", "pytest-benchmark", "pytest-benchmark[histogram]", "pytest-checkdocs (>=1.2.3)", "pytest-enabler (>=1.0.1)", "pytest-ruff (>=0.2.1)", "scikit-learn", "scipy (>=1.9.3) ; python_version > \"3.10\"", "scipy ; python_version <= \"3.10\"", "simplejson", "sqlalchemy", "ujson"] + +[[package]] +name = "jsonpointer" +version = "3.0.0" +description = "Identify specific nodes in a JSON document (RFC 6901)" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, + {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, +] + +[[package]] +name = "jsonschema" +version = "4.25.1" +description = "An implementation of JSON Schema validation for Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "jsonschema-4.25.1-py3-none-any.whl", hash = "sha256:3fba0169e345c7175110351d456342c364814cfcf3b964ba4587f22915230a63"}, + {file = "jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} +jsonschema-specifications = ">=2023.03.6" +referencing = ">=0.28.4" +rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} +rfc3987-syntax = {version = ">=1.1.0", optional = true, markers = "extra == \"format-nongpl\""} +rpds-py = ">=0.7.1" +uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""} + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"] + +[[package]] +name = "jsonschema-specifications" +version = "2025.9.1" +description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"}, + {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"}, +] + +[package.dependencies] +referencing = ">=0.31.0" + +[[package]] +name = "jupyter-client" +version = "8.6.3" +description = "Jupyter protocol implementation and client libraries" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"}, + {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"}, +] + +[package.dependencies] +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +python-dateutil = ">=2.8.2" +pyzmq = ">=23.0" +tornado = ">=6.2" +traitlets = ">=5.3" + +[package.extras] +docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] + +[[package]] +name = "jupyter-core" +version = "5.8.1" +description = "Jupyter core package. A base package on which Jupyter projects rely." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jupyter_core-5.8.1-py3-none-any.whl", hash = "sha256:c28d268fc90fb53f1338ded2eb410704c5449a358406e8a948b75706e24863d0"}, + {file = "jupyter_core-5.8.1.tar.gz", hash = "sha256:0a5f9706f70e64786b75acba995988915ebd4601c8a52e534a40b51c95f59941"}, +] + +[package.dependencies] +platformdirs = ">=2.5" +pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +traitlets = ">=5.3" + +[package.extras] +docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"] +test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-events" +version = "0.12.0" +description = "Jupyter Event System library" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb"}, + {file = "jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b"}, +] + +[package.dependencies] +jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]} +packaging = "*" +python-json-logger = ">=2.0.4" +pyyaml = ">=5.3" +referencing = "*" +rfc3339-validator = "*" +rfc3986-validator = ">=0.1.1" +traitlets = ">=5.3" + +[package.extras] +cli = ["click", "rich"] +docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8)", "sphinxcontrib-spelling"] +test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"] + +[[package]] +name = "jupyter-lsp" +version = "2.3.0" +description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f"}, + {file = "jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245"}, +] + +[package.dependencies] +jupyter_server = ">=1.1.2" + +[[package]] +name = "jupyter-server" +version = "2.17.0" +description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f"}, + {file = "jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5"}, +] + +[package.dependencies] +anyio = ">=3.1.0" +argon2-cffi = ">=21.1" +jinja2 = ">=3.0.3" +jupyter-client = ">=7.4.4" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +jupyter-events = ">=0.11.0" +jupyter-server-terminals = ">=0.4.4" +nbconvert = ">=6.4.4" +nbformat = ">=5.3.0" +overrides = {version = ">=5.0", markers = "python_version < \"3.12\""} +packaging = ">=22.0" +prometheus-client = ">=0.9" +pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""} +pyzmq = ">=24" +send2trash = ">=1.8.2" +terminado = ">=0.8.3" +tornado = ">=6.2.0" +traitlets = ">=5.6.0" +websocket-client = ">=1.7" + +[package.extras] +docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"] +test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"] + +[[package]] +name = "jupyter-server-terminals" +version = "0.5.3" +description = "A Jupyter Server Extension Providing Terminals." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"}, + {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"}, +] + +[package.dependencies] +pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} +terminado = ">=0.8.3" + +[package.extras] +docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] +test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] + +[[package]] +name = "jupyterlab" +version = "4.4.7" +description = "JupyterLab computational environment" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "jupyterlab-4.4.7-py3-none-any.whl", hash = "sha256:808bae6136b507a4d18f04254218bfe71ed8ba399a36ef3280d5f259e69abf80"}, + {file = "jupyterlab-4.4.7.tar.gz", hash = "sha256:8c8e225492f4513ebde9bbbc00a05b651ab9a1f5b0013015d96fabf671c37188"}, +] + +[package.dependencies] +async-lru = ">=1.0.0" +httpx = ">=0.25.0,<1" +ipykernel = ">=6.5.0,<6.30.0 || >6.30.0" +jinja2 = ">=3.0.3" +jupyter-core = "*" +jupyter-lsp = ">=2.0.0" +jupyter-server = ">=2.4.0,<3" +jupyterlab-server = ">=2.27.1,<3" +notebook-shim = ">=0.2" +packaging = "*" +setuptools = ">=41.1.0" +tornado = ">=6.2.0" +traitlets = "*" + +[package.extras] +dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.11.4)"] +docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.2.0)", "sphinx-copybutton"] +docs-screenshots = ["altair (==5.5.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.5)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.3.post1)", "matplotlib (==3.10.0)", "nbconvert (>=7.0.0)", "pandas (==2.2.3)", "scipy (==1.15.1)", "vega-datasets (==0.9.0)"] +test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] +upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"] + +[[package]] +name = "jupyterlab-pygments" +version = "0.3.0" +description = "Pygments theme using JupyterLab CSS variables" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, + {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, +] + +[[package]] +name = "jupyterlab-server" +version = "2.27.3" +description = "A set of server components for JupyterLab and JupyterLab like applications." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"}, + {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"}, +] + +[package.dependencies] +babel = ">=2.10" +jinja2 = ">=3.0.3" +json5 = ">=0.9.0" +jsonschema = ">=4.18.0" +jupyter-server = ">=1.21,<3" +packaging = ">=21.3" +requests = ">=2.31" + +[package.extras] +docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"] +openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"] +test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"] + +[[package]] +name = "jupyterlab-widgets" +version = "3.0.15" +description = "Jupyter interactive widgets for JupyterLab" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "jupyterlab_widgets-3.0.15-py3-none-any.whl", hash = "sha256:d59023d7d7ef71400d51e6fee9a88867f6e65e10a4201605d2d7f3e8f012a31c"}, + {file = "jupyterlab_widgets-3.0.15.tar.gz", hash = "sha256:2920888a0c2922351a9202817957a68c07d99673504d6cd37345299e971bb08b"}, +] + +[[package]] +name = "kiwisolver" +version = "1.4.9" +description = "A fast implementation of the Cassowary constraint solver" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"}, + {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f"}, + {file = "kiwisolver-1.4.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:84fd60810829c27ae375114cd379da1fa65e6918e1da405f356a775d49a62bcf"}, + {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b78efa4c6e804ecdf727e580dbb9cba85624d2e1c6b5cb059c66290063bd99a9"}, + {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d4efec7bcf21671db6a3294ff301d2fc861c31faa3c8740d1a94689234d1b415"}, + {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:90f47e70293fc3688b71271100a1a5453aa9944a81d27ff779c108372cf5567b"}, + {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8fdca1def57a2e88ef339de1737a1449d6dbf5fab184c54a1fca01d541317154"}, + {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9cf554f21be770f5111a1690d42313e140355e687e05cf82cb23d0a721a64a48"}, + {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fc1795ac5cd0510207482c3d1d3ed781143383b8cfd36f5c645f3897ce066220"}, + {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:ccd09f20ccdbbd341b21a67ab50a119b64a403b09288c27481575105283c1586"}, + {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:540c7c72324d864406a009d72f5d6856f49693db95d1fbb46cf86febef873634"}, + {file = "kiwisolver-1.4.9-cp310-cp310-win_amd64.whl", hash = "sha256:ede8c6d533bc6601a47ad4046080d36b8fc99f81e6f1c17b0ac3c2dc91ac7611"}, + {file = "kiwisolver-1.4.9-cp310-cp310-win_arm64.whl", hash = "sha256:7b4da0d01ac866a57dd61ac258c5607b4cd677f63abaec7b148354d2b2cdd536"}, + {file = "kiwisolver-1.4.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:eb14a5da6dc7642b0f3a18f13654847cd8b7a2550e2645a5bda677862b03ba16"}, + {file = "kiwisolver-1.4.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:39a219e1c81ae3b103643d2aedb90f1ef22650deb266ff12a19e7773f3e5f089"}, + {file = "kiwisolver-1.4.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2405a7d98604b87f3fc28b1716783534b1b4b8510d8142adca34ee0bc3c87543"}, + {file = "kiwisolver-1.4.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:dc1ae486f9abcef254b5618dfb4113dd49f94c68e3e027d03cf0143f3f772b61"}, + {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a1f570ce4d62d718dce3f179ee78dac3b545ac16c0c04bb363b7607a949c0d1"}, + {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:cb27e7b78d716c591e88e0a09a2139c6577865d7f2e152488c2cc6257f460872"}, + {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:15163165efc2f627eb9687ea5f3a28137217d217ac4024893d753f46bce9de26"}, + {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bdee92c56a71d2b24c33a7d4c2856bd6419d017e08caa7802d2963870e315028"}, + {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:412f287c55a6f54b0650bd9b6dce5aceddb95864a1a90c87af16979d37c89771"}, + {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2c93f00dcba2eea70af2be5f11a830a742fe6b579a1d4e00f47760ef13be247a"}, + {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f117e1a089d9411663a3207ba874f31be9ac8eaa5b533787024dc07aeb74f464"}, + {file = "kiwisolver-1.4.9-cp311-cp311-win_amd64.whl", hash = "sha256:be6a04e6c79819c9a8c2373317d19a96048e5a3f90bec587787e86a1153883c2"}, + {file = "kiwisolver-1.4.9-cp311-cp311-win_arm64.whl", hash = "sha256:0ae37737256ba2de764ddc12aed4956460277f00c4996d51a197e72f62f5eec7"}, + {file = "kiwisolver-1.4.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:ac5a486ac389dddcc5bef4f365b6ae3ffff2c433324fb38dd35e3fab7c957999"}, + {file = "kiwisolver-1.4.9-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f2ba92255faa7309d06fe44c3a4a97efe1c8d640c2a79a5ef728b685762a6fd2"}, + {file = "kiwisolver-1.4.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a2899935e724dd1074cb568ce7ac0dce28b2cd6ab539c8e001a8578eb106d14"}, + {file = "kiwisolver-1.4.9-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f6008a4919fdbc0b0097089f67a1eb55d950ed7e90ce2cc3e640abadd2757a04"}, + {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67bb8b474b4181770f926f7b7d2f8c0248cbcb78b660fdd41a47054b28d2a752"}, + {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2327a4a30d3ee07d2fbe2e7933e8a37c591663b96ce42a00bc67461a87d7df77"}, + {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a08b491ec91b1d5053ac177afe5290adacf1f0f6307d771ccac5de30592d198"}, + {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d8fc5c867c22b828001b6a38d2eaeb88160bf5783c6cb4a5e440efc981ce286d"}, + {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:3b3115b2581ea35bb6d1f24a4c90af37e5d9b49dcff267eeed14c3893c5b86ab"}, + {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858e4c22fb075920b96a291928cb7dea5644e94c0ee4fcd5af7e865655e4ccf2"}, + {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ed0fecd28cc62c54b262e3736f8bb2512d8dcfdc2bcf08be5f47f96bf405b145"}, + {file = "kiwisolver-1.4.9-cp312-cp312-win_amd64.whl", hash = "sha256:f68208a520c3d86ea51acf688a3e3002615a7f0238002cccc17affecc86a8a54"}, + {file = "kiwisolver-1.4.9-cp312-cp312-win_arm64.whl", hash = "sha256:2c1a4f57df73965f3f14df20b80ee29e6a7930a57d2d9e8491a25f676e197c60"}, + {file = "kiwisolver-1.4.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5d0432ccf1c7ab14f9949eec60c5d1f924f17c037e9f8b33352fa05799359b8"}, + {file = "kiwisolver-1.4.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efb3a45b35622bb6c16dbfab491a8f5a391fe0e9d45ef32f4df85658232ca0e2"}, + {file = "kiwisolver-1.4.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1a12cf6398e8a0a001a059747a1cbf24705e18fe413bc22de7b3d15c67cffe3f"}, + {file = "kiwisolver-1.4.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b67e6efbf68e077dd71d1a6b37e43e1a99d0bff1a3d51867d45ee8908b931098"}, + {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5656aa670507437af0207645273ccdfee4f14bacd7f7c67a4306d0dcaeaf6eed"}, + {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bfc08add558155345129c7803b3671cf195e6a56e7a12f3dde7c57d9b417f525"}, + {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:40092754720b174e6ccf9e845d0d8c7d8e12c3d71e7fc35f55f3813e96376f78"}, + {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:497d05f29a1300d14e02e6441cf0f5ee81c1ff5a304b0d9fb77423974684e08b"}, + {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bdd1a81a1860476eb41ac4bc1e07b3f07259e6d55bbf739b79c8aaedcf512799"}, + {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:e6b93f13371d341afee3be9f7c5964e3fe61d5fa30f6a30eb49856935dfe4fc3"}, + {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d75aa530ccfaa593da12834b86a0724f58bff12706659baa9227c2ccaa06264c"}, + {file = "kiwisolver-1.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:dd0a578400839256df88c16abddf9ba14813ec5f21362e1fe65022e00c883d4d"}, + {file = "kiwisolver-1.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:d4188e73af84ca82468f09cadc5ac4db578109e52acb4518d8154698d3a87ca2"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:5a0f2724dfd4e3b3ac5a82436a8e6fd16baa7d507117e4279b660fe8ca38a3a1"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:1b11d6a633e4ed84fc0ddafd4ebfd8ea49b3f25082c04ad12b8315c11d504dc1"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61874cdb0a36016354853593cffc38e56fc9ca5aa97d2c05d3dcf6922cd55a11"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:60c439763a969a6af93b4881db0eed8fadf93ee98e18cbc35bc8da868d0c4f0c"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92a2f997387a1b79a75e7803aa7ded2cfbe2823852ccf1ba3bcf613b62ae3197"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a31d512c812daea6d8b3be3b2bfcbeb091dbb09177706569bcfc6240dcf8b41c"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:52a15b0f35dad39862d376df10c5230155243a2c1a436e39eb55623ccbd68185"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a30fd6fdef1430fd9e1ba7b3398b5ee4e2887783917a687d86ba69985fb08748"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:cc9617b46837c6468197b5945e196ee9ca43057bb7d9d1ae688101e4e1dddf64"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:0ab74e19f6a2b027ea4f845a78827969af45ce790e6cb3e1ebab71bdf9f215ff"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dba5ee5d3981160c28d5490f0d1b7ed730c22470ff7f6cc26cfcfaacb9896a07"}, + {file = "kiwisolver-1.4.9-cp313-cp313t-win_arm64.whl", hash = "sha256:0749fd8f4218ad2e851e11cc4dc05c7cbc0cbc4267bdfdb31782e65aace4ee9c"}, + {file = "kiwisolver-1.4.9-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:9928fe1eb816d11ae170885a74d074f57af3a0d65777ca47e9aeb854a1fba386"}, + {file = "kiwisolver-1.4.9-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d0005b053977e7b43388ddec89fa567f43d4f6d5c2c0affe57de5ebf290dc552"}, + {file = "kiwisolver-1.4.9-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2635d352d67458b66fd0667c14cb1d4145e9560d503219034a18a87e971ce4f3"}, + {file = "kiwisolver-1.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:767c23ad1c58c9e827b649a9ab7809fd5fd9db266a9cf02b0e926ddc2c680d58"}, + {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72d0eb9fba308b8311685c2268cf7d0a0639a6cd027d8128659f72bdd8a024b4"}, + {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f68e4f3eeca8fb22cc3d731f9715a13b652795ef657a13df1ad0c7dc0e9731df"}, + {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d84cd4061ae292d8ac367b2c3fa3aad11cb8625a95d135fe93f286f914f3f5a6"}, + {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:a60ea74330b91bd22a29638940d115df9dc00af5035a9a2a6ad9399ffb4ceca5"}, + {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:ce6a3a4e106cf35c2d9c4fa17c05ce0b180db622736845d4315519397a77beaf"}, + {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:77937e5e2a38a7b48eef0585114fe7930346993a88060d0bf886086d2aa49ef5"}, + {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:24c175051354f4a28c5d6a31c93906dc653e2bf234e8a4bbfb964892078898ce"}, + {file = "kiwisolver-1.4.9-cp314-cp314-win_amd64.whl", hash = "sha256:0763515d4df10edf6d06a3c19734e2566368980d21ebec439f33f9eb936c07b7"}, + {file = "kiwisolver-1.4.9-cp314-cp314-win_arm64.whl", hash = "sha256:0e4e2bf29574a6a7b7f6cb5fa69293b9f96c928949ac4a53ba3f525dffb87f9c"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:d976bbb382b202f71c67f77b0ac11244021cfa3f7dfd9e562eefcea2df711548"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2489e4e5d7ef9a1c300a5e0196e43d9c739f066ef23270607d45aba368b91f2d"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e2ea9f7ab7fbf18fffb1b5434ce7c69a07582f7acc7717720f1d69f3e806f90c"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b34e51affded8faee0dfdb705416153819d8ea9250bbbf7ea1b249bdeb5f1122"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8aacd3d4b33b772542b2e01beb50187536967b514b00003bdda7589722d2a64"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7cf974dd4e35fa315563ac99d6287a1024e4dc2077b8a7d7cd3d2fb65d283134"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:85bd218b5ecfbee8c8a82e121802dcb519a86044c9c3b2e4aef02fa05c6da370"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:0856e241c2d3df4efef7c04a1e46b1936b6120c9bcf36dd216e3acd84bc4fb21"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:9af39d6551f97d31a4deebeac6f45b156f9755ddc59c07b402c148f5dbb6482a"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:bb4ae2b57fc1d8cbd1cf7b1d9913803681ffa903e7488012be5b76dedf49297f"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:aedff62918805fb62d43a4aa2ecd4482c380dc76cd31bd7c8878588a61bd0369"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-win_amd64.whl", hash = "sha256:1fa333e8b2ce4d9660f2cda9c0e1b6bafcfb2457a9d259faa82289e73ec24891"}, + {file = "kiwisolver-1.4.9-cp314-cp314t-win_arm64.whl", hash = "sha256:4a48a2ce79d65d363597ef7b567ce3d14d68783d2b2263d98db3d9477805ba32"}, + {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4d1d9e582ad4d63062d34077a9a1e9f3c34088a2ec5135b1f7190c07cf366527"}, + {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:deed0c7258ceb4c44ad5ec7d9918f9f14fd05b2be86378d86cf50e63d1e7b771"}, + {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a590506f303f512dff6b7f75fd2fd18e16943efee932008fe7140e5fa91d80e"}, + {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e09c2279a4d01f099f52d5c4b3d9e208e91edcbd1a175c9662a8b16e000fece9"}, + {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c9e7cdf45d594ee04d5be1b24dd9d49f3d1590959b2271fb30b5ca2b262c00fb"}, + {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:720e05574713db64c356e86732c0f3c5252818d05f9df320f0ad8380641acea5"}, + {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:17680d737d5335b552994a2008fab4c851bcd7de33094a82067ef3a576ff02fa"}, + {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85b5352f94e490c028926ea567fc569c52ec79ce131dadb968d3853e809518c2"}, + {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:464415881e4801295659462c49461a24fb107c140de781d55518c4b80cb6790f"}, + {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:fb940820c63a9590d31d88b815e7a3aa5915cad3ce735ab45f0c730b39547de1"}, + {file = "kiwisolver-1.4.9.tar.gz", hash = "sha256:c3b22c26c6fd6811b0ae8363b95ca8ce4ea3c202d3d0975b2914310ceb1bcc4d"}, +] + +[[package]] +name = "lark" +version = "1.2.2" +description = "a modern parsing library" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "lark-1.2.2-py3-none-any.whl", hash = "sha256:c2276486b02f0f1b90be155f2c8ba4a8e194d42775786db622faccd652d8e80c"}, + {file = "lark-1.2.2.tar.gz", hash = "sha256:ca807d0162cd16cef15a8feecb862d7319e7a09bdb13aef927968e45040fed80"}, +] + +[package.extras] +atomic-cache = ["atomicwrites"] +interegular = ["interegular (>=0.3.1,<0.4.0)"] +nearley = ["js2py"] +regex = ["regex"] + +[[package]] +name = "lazy-loader" +version = "0.4" +description = "Makes it easy to load subpackages and functions on demand." +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"}, + {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"}, +] + +[package.dependencies] +packaging = "*" + +[package.extras] +dev = ["changelist (==0.5)"] +lint = ["pre-commit (==3.7.0)"] +test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"] + +[[package]] +name = "ldap3" +version = "2.9.1" +description = "A strictly RFC 4510 conforming LDAP V3 pure Python client library" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "ldap3-2.9.1-py2.py3-none-any.whl", hash = "sha256:5869596fc4948797020d3f03b7939da938778a0f9e2009f7a072ccf92b8e8d70"}, + {file = "ldap3-2.9.1.tar.gz", hash = "sha256:f3e7fc4718e3f09dda568b57100095e0ce58633bcabbed8667ce3f8fbaa4229f"}, +] + +[package.dependencies] +pyasn1 = ">=0.4.6" + +[[package]] +name = "librosa" +version = "0.11.0" +description = "Python module for audio and music processing" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "librosa-0.11.0-py3-none-any.whl", hash = "sha256:0b6415c4fd68bff4c29288abe67c6d80b587e0e1e2cfb0aad23e4559504a7fa1"}, + {file = "librosa-0.11.0.tar.gz", hash = "sha256:f5ed951ca189b375bbe2e33b2abd7e040ceeee302b9bbaeeffdfddb8d0ace908"}, +] + +[package.dependencies] +audioread = ">=2.1.9" +decorator = ">=4.3.0" +joblib = ">=1.0" +lazy_loader = ">=0.1" +msgpack = ">=1.0" +numba = ">=0.51.0" +numpy = ">=1.22.3" +pooch = ">=1.1" +scikit-learn = ">=1.1.0" +scipy = ">=1.6.0" +soundfile = ">=0.12.1" +soxr = ">=0.3.2" +standard-aifc = {version = "*", markers = "python_version >= \"3.13\""} +standard-sunau = {version = "*", markers = "python_version >= \"3.13\""} +typing_extensions = ">=4.1.1" + +[package.extras] +display = ["matplotlib (>=3.5.0)"] +docs = ["ipython (>=7.0)", "matplotlib (>=3.5.0)", "mir_eval (>=0.5)", "numba (>=0.51)", "numpydoc", "presets", "sphinx (!=1.3.1)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.7)", "sphinx-multiversion (>=0.2.3)", "sphinx_rtd_theme (>=1.2.0)", "sphinxcontrib-googleanalytics (>=0.4)", "sphinxcontrib-svg2pdfconverter"] +tests = ["matplotlib (>=3.5.0)", "packaging (>=20.0)", "pytest", "pytest-cov", "pytest-mpl", "resampy (>=0.2.2)", "samplerate", "types-decorator"] + +[[package]] +name = "lightning-utilities" +version = "0.15.2" +description = "Lightning toolbox for across the our ecosystem." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "lightning_utilities-0.15.2-py3-none-any.whl", hash = "sha256:ad3ab1703775044bbf880dbf7ddaaac899396c96315f3aa1779cec9d618a9841"}, + {file = "lightning_utilities-0.15.2.tar.gz", hash = "sha256:cdf12f530214a63dacefd713f180d1ecf5d165338101617b4742e8f22c032e24"}, +] + +[package.dependencies] +packaging = ">=17.1" +setuptools = "*" +typing_extensions = "*" + +[package.extras] +cli = ["jsonargparse[signatures] (>=4.38.0)", "tomlkit"] +docs = ["requests (>=2.0.0)"] +typing = ["mypy (>=1.0.0)", "types-setuptools"] + +[[package]] +name = "llvmlite" +version = "0.44.0" +description = "lightweight wrapper around basic LLVM functionality" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "llvmlite-0.44.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:9fbadbfba8422123bab5535b293da1cf72f9f478a65645ecd73e781f962ca614"}, + {file = "llvmlite-0.44.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cccf8eb28f24840f2689fb1a45f9c0f7e582dd24e088dcf96e424834af11f791"}, + {file = "llvmlite-0.44.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7202b678cdf904823c764ee0fe2dfe38a76981f4c1e51715b4cb5abb6cf1d9e8"}, + {file = "llvmlite-0.44.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:40526fb5e313d7b96bda4cbb2c85cd5374e04d80732dd36a282d72a560bb6408"}, + {file = "llvmlite-0.44.0-cp310-cp310-win_amd64.whl", hash = "sha256:41e3839150db4330e1b2716c0be3b5c4672525b4c9005e17c7597f835f351ce2"}, + {file = "llvmlite-0.44.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3"}, + {file = "llvmlite-0.44.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ace564d9fa44bb91eb6e6d8e7754977783c68e90a471ea7ce913bff30bd62427"}, + {file = "llvmlite-0.44.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5d22c3bfc842668168a786af4205ec8e3ad29fb1bc03fd11fd48460d0df64c1"}, + {file = "llvmlite-0.44.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610"}, + {file = "llvmlite-0.44.0-cp311-cp311-win_amd64.whl", hash = "sha256:d8489634d43c20cd0ad71330dde1d5bc7b9966937a263ff1ec1cebb90dc50955"}, + {file = "llvmlite-0.44.0-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:1d671a56acf725bf1b531d5ef76b86660a5ab8ef19bb6a46064a705c6ca80aad"}, + {file = "llvmlite-0.44.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5f79a728e0435493611c9f405168682bb75ffd1fbe6fc360733b850c80a026db"}, + {file = "llvmlite-0.44.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0143a5ef336da14deaa8ec26c5449ad5b6a2b564df82fcef4be040b9cacfea9"}, + {file = "llvmlite-0.44.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d752f89e31b66db6f8da06df8b39f9b91e78c5feea1bf9e8c1fba1d1c24c065d"}, + {file = "llvmlite-0.44.0-cp312-cp312-win_amd64.whl", hash = "sha256:eae7e2d4ca8f88f89d315b48c6b741dcb925d6a1042da694aa16ab3dd4cbd3a1"}, + {file = "llvmlite-0.44.0-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:319bddd44e5f71ae2689859b7203080716448a3cd1128fb144fe5c055219d516"}, + {file = "llvmlite-0.44.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9c58867118bad04a0bb22a2e0068c693719658105e40009ffe95c7000fcde88e"}, + {file = "llvmlite-0.44.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46224058b13c96af1365290bdfebe9a6264ae62fb79b2b55693deed11657a8bf"}, + {file = "llvmlite-0.44.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aa0097052c32bf721a4efc03bd109d335dfa57d9bffb3d4c24cc680711b8b4fc"}, + {file = "llvmlite-0.44.0-cp313-cp313-win_amd64.whl", hash = "sha256:2fb7c4f2fb86cbae6dca3db9ab203eeea0e22d73b99bc2341cdf9de93612e930"}, + {file = "llvmlite-0.44.0.tar.gz", hash = "sha256:07667d66a5d150abed9157ab6c0b9393c9356f229784a4385c02f99e94fc94d4"}, +] + +[[package]] +name = "loralib" +version = "0.1.2" +description = "PyTorch implementation of low-rank adaptation (LoRA), a parameter-efficient approach to adapt a large pre-trained deep learning model which obtains performance on-par with full fine-tuning." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "loralib-0.1.2-py3-none-any.whl", hash = "sha256:e341c9a507b180f3b8e70914efef9f6b19d1aa3996dec546b180cfbd027059e9"}, + {file = "loralib-0.1.2.tar.gz", hash = "sha256:22ccff494a6254b973ddaee9f9aad4657941cab4221c75c5a04e0cac4fbd4567"}, +] + +[[package]] +name = "mako" +version = "1.3.10" +description = "A super-fast templating language that borrows the best ideas from the existing templating languages." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59"}, + {file = "mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28"}, +] + +[package.dependencies] +MarkupSafe = ">=0.9.2" + +[package.extras] +babel = ["Babel"] +lingua = ["lingua"] +testing = ["pytest"] + +[[package]] +name = "markdown" +version = "3.9" +description = "Python implementation of John Gruber's Markdown." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "markdown-3.9-py3-none-any.whl", hash = "sha256:9f4d91ed810864ea88a6f32c07ba8bee1346c0cc1f6b1f9f6c822f2a9667d280"}, + {file = "markdown-3.9.tar.gz", hash = "sha256:d2900fe1782bd33bdbbd56859defef70c2e78fc46668f8eb9df3128138f2cb6a"}, +] + +[package.extras] +docs = ["mdx_gh_links (>=0.2)", "mkdocs (>=1.6)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"] +testing = ["coverage", "pyyaml"] + +[[package]] +name = "markdown-it-py" +version = "4.0.0" +description = "Python port of markdown-it. Markdown parsing, done right!" +optional = false +python-versions = ">=3.10" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" +files = [ + {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, + {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, +] + +[package.dependencies] +mdurl = ">=0.1,<1.0" + +[package.extras] +benchmarking = ["psutil", "pytest", "pytest-benchmark"] +compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"] +linkify = ["linkify-it-py (>=1,<3)"] +plugins = ["mdit-py-plugins (>=0.5.0)"] +profiling = ["gprof2dot"] +rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"] +testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"] + +[[package]] +name = "markupsafe" +version = "3.0.2" +description = "Safely add untrusted strings to HTML/XML markup." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38a9ef736c01fccdd6600705b09dc574584b89bea478200c5fbf112a6b0d5579"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bbcb445fa71794da8f178f0f6d66789a28d7319071af7a496d4d507ed566270d"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57cb5a3cf367aeb1d316576250f65edec5bb3be939e9247ae594b4bcbc317dfb"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3809ede931876f5b2ec92eef964286840ed3540dadf803dd570c3b7e13141a3b"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e07c3764494e3776c602c1e78e298937c3315ccc9043ead7e685b7f2b8d47b3c"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b424c77b206d63d500bcb69fa55ed8d0e6a3774056bdc4839fc9298a7edca171"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-win32.whl", hash = "sha256:fcabf5ff6eea076f859677f5f0b6b5c1a51e70a376b0579e0eadef8db48c6b50"}, + {file = "MarkupSafe-3.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:6af100e168aa82a50e186c82875a5893c5597a0c1ccdb0d8b40240b1f28b969a"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9025b4018f3a1314059769c7bf15441064b2207cb3f065e6ea1e7359cb46db9d"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:93335ca3812df2f366e80509ae119189886b0f3c2b81325d39efdb84a1e2ae93"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2cb8438c3cbb25e220c2ab33bb226559e7afb3baec11c4f218ffa7308603c832"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a123e330ef0853c6e822384873bef7507557d8e4a082961e1defa947aa59ba84"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1e084f686b92e5b83186b07e8a17fc09e38fff551f3602b249881fec658d3eca"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d8213e09c917a951de9d09ecee036d5c7d36cb6cb7dbaece4c71a60d79fb9798"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:5b02fb34468b6aaa40dfc198d813a641e3a63b98c2b05a16b9f80b7ec314185e"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0bff5e0ae4ef2e1ae4fdf2dfd5b76c75e5c2fa4132d05fc1b0dabcd20c7e28c4"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-win32.whl", hash = "sha256:6c89876f41da747c8d3677a2b540fb32ef5715f97b66eeb0c6b66f5e3ef6f59d"}, + {file = "MarkupSafe-3.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:70a87b411535ccad5ef2f1df5136506a10775d267e197e4cf531ced10537bd6b"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:9778bd8ab0a994ebf6f84c2b949e65736d5575320a17ae8984a77fab08db94cf"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:846ade7b71e3536c4e56b386c2a47adf5741d2d8b94ec9dc3e92e5e1ee1e2225"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c99d261bd2d5f6b59325c92c73df481e05e57f19837bdca8413b9eac4bd8028"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e17c96c14e19278594aa4841ec148115f9c7615a47382ecb6b82bd8fea3ab0c8"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:88416bd1e65dcea10bc7569faacb2c20ce071dd1f87539ca2ab364bf6231393c"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2181e67807fc2fa785d0592dc2d6206c019b9502410671cc905d132a92866557"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:52305740fe773d09cffb16f8ed0427942901f00adedac82ec8b67752f58a1b22"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ad10d3ded218f1039f11a75f8091880239651b52e9bb592ca27de44eed242a48"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-win32.whl", hash = "sha256:0f4ca02bea9a23221c0182836703cbf8930c5e9454bacce27e767509fa286a30"}, + {file = "MarkupSafe-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:8e06879fc22a25ca47312fbe7c8264eb0b662f6db27cb2d3bbbc74b1df4b9b87"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ba9527cdd4c926ed0760bc301f6728ef34d841f405abf9d4f959c478421e4efd"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f8b3d067f2e40fe93e1ccdd6b2e1d16c43140e76f02fb1319a05cf2b79d99430"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:569511d3b58c8791ab4c2e1285575265991e6d8f8700c7be0e88f86cb0672094"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15ab75ef81add55874e7ab7055e9c397312385bd9ced94920f2802310c930396"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3818cb119498c0678015754eba762e0d61e5b52d34c8b13d770f0719f7b1d79"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:cdb82a876c47801bb54a690c5ae105a46b392ac6099881cdfb9f6e95e4014c6a"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:cabc348d87e913db6ab4aa100f01b08f481097838bdddf7c7a84b7575b7309ca"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:444dcda765c8a838eaae23112db52f1efaf750daddb2d9ca300bcae1039adc5c"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-win32.whl", hash = "sha256:bcf3e58998965654fdaff38e58584d8937aa3096ab5354d493c77d1fdd66d7a1"}, + {file = "MarkupSafe-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:e6a2a455bd412959b57a172ce6328d2dd1f01cb2135efda2e4576e8a23fa3b0f"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:b5a6b3ada725cea8a5e634536b1b01c30bcdcd7f9c6fff4151548d5bf6b3a36c"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:a904af0a6162c73e3edcb969eeeb53a63ceeb5d8cf642fade7d39e7963a22ddb"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa4e5faecf353ed117801a068ebab7b7e09ffb6e1d5e412dc852e0da018126c"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0ef13eaeee5b615fb07c9a7dadb38eac06a0608b41570d8ade51c56539e509d"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d16a81a06776313e817c951135cf7340a3e91e8c1ff2fac444cfd75fffa04afe"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:6381026f158fdb7c72a168278597a5e3a5222e83ea18f543112b2662a9b699c5"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:3d79d162e7be8f996986c064d1c7c817f6df3a77fe3d6859f6f9e7be4b8c213a"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:131a3c7689c85f5ad20f9f6fb1b866f402c445b220c19fe4308c0b147ccd2ad9"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-win32.whl", hash = "sha256:ba8062ed2cf21c07a9e295d5b8a2a5ce678b913b45fdf68c32d95d6c1291e0b6"}, + {file = "MarkupSafe-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:eaa0a10b7f72326f1372a713e73c3f739b524b3af41feb43e4921cb529f5929a"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:48032821bbdf20f5799ff537c7ac3d1fba0ba032cfc06194faffa8cda8b560ff"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a9d3f5f0901fdec14d8d2f66ef7d035f2157240a433441719ac9a3fba440b13"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88b49a3b9ff31e19998750c38e030fc7bb937398b1f78cfa599aaef92d693144"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cfad01eed2c2e0c01fd0ecd2ef42c492f7f93902e39a42fc9ee1692961443a29"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:1225beacc926f536dc82e45f8a4d68502949dc67eea90eab715dea3a21c1b5f0"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:3169b1eefae027567d1ce6ee7cae382c57fe26e82775f460f0b2778beaad66c0"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:eb7972a85c54febfb25b5c4b4f3af4dcc731994c7da0d8a0b4a6eb0640e1d178"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-win32.whl", hash = "sha256:8c4e8c3ce11e1f92f6536ff07154f9d49677ebaaafc32db9db4620bc11ed480f"}, + {file = "MarkupSafe-3.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:6e296a513ca3d94054c2c881cc913116e90fd030ad1c656b3869762b754f5f8a"}, + {file = "markupsafe-3.0.2.tar.gz", hash = "sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0"}, +] + +[[package]] +name = "matplotlib" +version = "3.10.6" +description = "Python plotting package" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "matplotlib-3.10.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:bc7316c306d97463a9866b89d5cc217824e799fa0de346c8f68f4f3d27c8693d"}, + {file = "matplotlib-3.10.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d00932b0d160ef03f59f9c0e16d1e3ac89646f7785165ce6ad40c842db16cc2e"}, + {file = "matplotlib-3.10.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8fa4c43d6bfdbfec09c733bca8667de11bfa4970e8324c471f3a3632a0301c15"}, + {file = "matplotlib-3.10.6-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ea117a9c1627acaa04dbf36265691921b999cbf515a015298e54e1a12c3af837"}, + {file = "matplotlib-3.10.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08fc803293b4e1694ee325896030de97f74c141ccff0be886bb5915269247676"}, + {file = "matplotlib-3.10.6-cp310-cp310-win_amd64.whl", hash = "sha256:2adf92d9b7527fbfb8818e050260f0ebaa460f79d61546374ce73506c9421d09"}, + {file = "matplotlib-3.10.6-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:905b60d1cb0ee604ce65b297b61cf8be9f4e6cfecf95a3fe1c388b5266bc8f4f"}, + {file = "matplotlib-3.10.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7bac38d816637343e53d7185d0c66677ff30ffb131044a81898b5792c956ba76"}, + {file = "matplotlib-3.10.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:942a8de2b5bfff1de31d95722f702e2966b8a7e31f4e68f7cd963c7cd8861cf6"}, + {file = "matplotlib-3.10.6-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a3276c85370bc0dfca051ec65c5817d1e0f8f5ce1b7787528ec8ed2d524bbc2f"}, + {file = "matplotlib-3.10.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9df5851b219225731f564e4b9e7f2ac1e13c9e6481f941b5631a0f8e2d9387ce"}, + {file = "matplotlib-3.10.6-cp311-cp311-win_amd64.whl", hash = "sha256:abb5d9478625dd9c9eb51a06d39aae71eda749ae9b3138afb23eb38824026c7e"}, + {file = "matplotlib-3.10.6-cp311-cp311-win_arm64.whl", hash = "sha256:886f989ccfae63659183173bb3fced7fd65e9eb793c3cc21c273add368536951"}, + {file = "matplotlib-3.10.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:31ca662df6a80bd426f871105fdd69db7543e28e73a9f2afe80de7e531eb2347"}, + {file = "matplotlib-3.10.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1678bb61d897bb4ac4757b5ecfb02bfb3fddf7f808000fb81e09c510712fda75"}, + {file = "matplotlib-3.10.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:56cd2d20842f58c03d2d6e6c1f1cf5548ad6f66b91e1e48f814e4fb5abd1cb95"}, + {file = "matplotlib-3.10.6-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:662df55604a2f9a45435566d6e2660e41efe83cd94f4288dfbf1e6d1eae4b0bb"}, + {file = "matplotlib-3.10.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:08f141d55148cd1fc870c3387d70ca4df16dee10e909b3b038782bd4bda6ea07"}, + {file = "matplotlib-3.10.6-cp312-cp312-win_amd64.whl", hash = "sha256:590f5925c2d650b5c9d813c5b3b5fc53f2929c3f8ef463e4ecfa7e052044fb2b"}, + {file = "matplotlib-3.10.6-cp312-cp312-win_arm64.whl", hash = "sha256:f44c8d264a71609c79a78d50349e724f5d5fc3684ead7c2a473665ee63d868aa"}, + {file = "matplotlib-3.10.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:819e409653c1106c8deaf62e6de6b8611449c2cd9939acb0d7d4e57a3d95cc7a"}, + {file = "matplotlib-3.10.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:59c8ac8382fefb9cb71308dde16a7c487432f5255d8f1fd32473523abecfecdf"}, + {file = "matplotlib-3.10.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:84e82d9e0fd70c70bc55739defbd8055c54300750cbacf4740c9673a24d6933a"}, + {file = "matplotlib-3.10.6-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:25f7a3eb42d6c1c56e89eacd495661fc815ffc08d9da750bca766771c0fd9110"}, + {file = "matplotlib-3.10.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f9c862d91ec0b7842920a4cfdaaec29662195301914ea54c33e01f1a28d014b2"}, + {file = "matplotlib-3.10.6-cp313-cp313-win_amd64.whl", hash = "sha256:1b53bd6337eba483e2e7d29c5ab10eee644bc3a2491ec67cc55f7b44583ffb18"}, + {file = "matplotlib-3.10.6-cp313-cp313-win_arm64.whl", hash = "sha256:cbd5eb50b7058b2892ce45c2f4e92557f395c9991f5c886d1bb74a1582e70fd6"}, + {file = "matplotlib-3.10.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:acc86dd6e0e695c095001a7fccff158c49e45e0758fdf5dcdbb0103318b59c9f"}, + {file = "matplotlib-3.10.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e228cd2ffb8f88b7d0b29e37f68ca9aaf83e33821f24a5ccc4f082dd8396bc27"}, + {file = "matplotlib-3.10.6-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:658bc91894adeab669cf4bb4a186d049948262987e80f0857216387d7435d833"}, + {file = "matplotlib-3.10.6-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8913b7474f6dd83ac444c9459c91f7f0f2859e839f41d642691b104e0af056aa"}, + {file = "matplotlib-3.10.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:091cea22e059b89f6d7d1a18e2c33a7376c26eee60e401d92a4d6726c4e12706"}, + {file = "matplotlib-3.10.6-cp313-cp313t-win_amd64.whl", hash = "sha256:491e25e02a23d7207629d942c666924a6b61e007a48177fdd231a0097b7f507e"}, + {file = "matplotlib-3.10.6-cp313-cp313t-win_arm64.whl", hash = "sha256:3d80d60d4e54cda462e2cd9a086d85cd9f20943ead92f575ce86885a43a565d5"}, + {file = "matplotlib-3.10.6-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:70aaf890ce1d0efd482df969b28a5b30ea0b891224bb315810a3940f67182899"}, + {file = "matplotlib-3.10.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1565aae810ab79cb72e402b22facfa6501365e73ebab70a0fdfb98488d2c3c0c"}, + {file = "matplotlib-3.10.6-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f3b23315a01981689aa4e1a179dbf6ef9fbd17143c3eea77548c2ecfb0499438"}, + {file = "matplotlib-3.10.6-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:30fdd37edf41a4e6785f9b37969de57aea770696cb637d9946eb37470c94a453"}, + {file = "matplotlib-3.10.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:bc31e693da1c08012c764b053e702c1855378e04102238e6a5ee6a7117c53a47"}, + {file = "matplotlib-3.10.6-cp314-cp314-win_amd64.whl", hash = "sha256:05be9bdaa8b242bc6ff96330d18c52f1fc59c6fb3a4dd411d953d67e7e1baf98"}, + {file = "matplotlib-3.10.6-cp314-cp314-win_arm64.whl", hash = "sha256:f56a0d1ab05d34c628592435781d185cd99630bdfd76822cd686fb5a0aecd43a"}, + {file = "matplotlib-3.10.6-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:94f0b4cacb23763b64b5dace50d5b7bfe98710fed5f0cef5c08135a03399d98b"}, + {file = "matplotlib-3.10.6-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:cc332891306b9fb39462673d8225d1b824c89783fee82840a709f96714f17a5c"}, + {file = "matplotlib-3.10.6-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee1d607b3fb1590deb04b69f02ea1d53ed0b0bf75b2b1a5745f269afcbd3cdd3"}, + {file = "matplotlib-3.10.6-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:376a624a218116461696b27b2bbf7a8945053e6d799f6502fc03226d077807bf"}, + {file = "matplotlib-3.10.6-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:83847b47f6524c34b4f2d3ce726bb0541c48c8e7692729865c3df75bfa0f495a"}, + {file = "matplotlib-3.10.6-cp314-cp314t-win_amd64.whl", hash = "sha256:c7e0518e0d223683532a07f4b512e2e0729b62674f1b3a1a69869f98e6b1c7e3"}, + {file = "matplotlib-3.10.6-cp314-cp314t-win_arm64.whl", hash = "sha256:4dd83e029f5b4801eeb87c64efd80e732452781c16a9cf7415b7b63ec8f374d7"}, + {file = "matplotlib-3.10.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:13fcd07ccf17e354398358e0307a1f53f5325dca22982556ddb9c52837b5af41"}, + {file = "matplotlib-3.10.6-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:470fc846d59d1406e34fa4c32ba371039cd12c2fe86801159a965956f2575bd1"}, + {file = "matplotlib-3.10.6-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f7173f8551b88f4ef810a94adae3128c2530e0d07529f7141be7f8d8c365f051"}, + {file = "matplotlib-3.10.6-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f2d684c3204fa62421bbf770ddfebc6b50130f9cad65531eeba19236d73bb488"}, + {file = "matplotlib-3.10.6-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:6f4a69196e663a41d12a728fab8751177215357906436804217d6d9cf0d4d6cf"}, + {file = "matplotlib-3.10.6-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d6ca6ef03dfd269f4ead566ec6f3fb9becf8dab146fb999022ed85ee9f6b3eb"}, + {file = "matplotlib-3.10.6.tar.gz", hash = "sha256:ec01b645840dd1996df21ee37f208cd8ba57644779fa20464010638013d3203c"}, +] + +[package.dependencies] +contourpy = ">=1.0.1" +cycler = ">=0.10" +fonttools = ">=4.22.0" +kiwisolver = ">=1.3.1" +numpy = ">=1.23" +packaging = ">=20.0" +pillow = ">=8" +pyparsing = ">=2.3.1" +python-dateutil = ">=2.7" + +[package.extras] +dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"] + +[[package]] +name = "matplotlib-inline" +version = "0.1.7" +description = "Inline Matplotlib backend for Jupyter" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, + {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"}, +] + +[package.dependencies] +traitlets = "*" + +[[package]] +name = "mdurl" +version = "0.1.2" +description = "Markdown URL utilities" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" +files = [ + {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, + {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, +] + +[[package]] +name = "mistune" +version = "3.1.4" +description = "A sane and fast Markdown parser with useful plugins and renderers" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "mistune-3.1.4-py3-none-any.whl", hash = "sha256:93691da911e5d9d2e23bc54472892aff676df27a75274962ff9edc210364266d"}, + {file = "mistune-3.1.4.tar.gz", hash = "sha256:b5a7f801d389f724ec702840c11d8fc48f2b33519102fc7ee739e8177b672164"}, +] + +[[package]] +name = "mlflow" +version = "2.22.2" +description = "MLflow is an open source platform for the complete machine learning lifecycle" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "mlflow-2.22.2-py3-none-any.whl", hash = "sha256:9ec973acaba48a259cea2559260450e91f5f6b09849e3342e0c1d1624fe48ab1"}, + {file = "mlflow-2.22.2.tar.gz", hash = "sha256:ca1a5b32369a8b03ee2d2dd4250c1908a3174184bea4159595de370e380e6ebe"}, +] + +[package.dependencies] +alembic = "<1.10.0 || >1.10.0,<2" +docker = ">=4.0.0,<8" +Flask = "<4" +graphene = "<4" +gunicorn = {version = "<24", markers = "platform_system != \"Windows\""} +Jinja2 = [ + {version = ">=2.11,<4", markers = "platform_system != \"Windows\""}, + {version = ">=3.0,<4", markers = "platform_system == \"Windows\""}, +] +markdown = ">=3.3,<4" +matplotlib = "<4" +mlflow-skinny = "2.22.2" +numpy = "<3" +pandas = "<2.3.0 || >2.3.0,<3" +pyarrow = ">=4.0.0,<20" +scikit-learn = "<2" +scipy = "<2" +sqlalchemy = ">=1.4.0,<3" +waitress = {version = "<4", markers = "platform_system == \"Windows\""} + +[package.extras] +aliyun-oss = ["aliyunstoreplugin"] +auth = ["Flask-WTF (<2)"] +databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore", "google-cloud-storage (>=1.30.0)"] +extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"] +gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"] +genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"] +jfrog = ["mlflow-jfrog-plugin"] +langchain = ["langchain (>=0.1.0,<=0.3.23)"] +mlserver = ["mlserver (>=1.2.0,!=1.3.1)", "mlserver-mlflow (>=1.2.0,!=1.3.1)"] +sqlserver = ["mlflow-dbstore"] +xethub = ["mlflow-xethub"] + +[[package]] +name = "mlflow-skinny" +version = "2.22.2" +description = "MLflow is an open source platform for the complete machine learning lifecycle" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "mlflow_skinny-2.22.2-py3-none-any.whl", hash = "sha256:fefbe81d63a42daf0aba79678c37f3d1d0d8124a506df3c8bd248fa889fd61ba"}, + {file = "mlflow_skinny-2.22.2.tar.gz", hash = "sha256:573e990ea5c572fb0d90cbbc77e5a1bf40b13bde9856685767b93c71c3d72a41"}, +] + +[package.dependencies] +cachetools = ">=5.0.0,<6" +click = ">=7.0,<9" +cloudpickle = "<4" +databricks-sdk = ">=0.20.0,<1" +fastapi = "<1" +gitpython = ">=3.1.9,<4" +importlib_metadata = ">=3.7.0,<4.7.0 || >4.7.0,<9" +opentelemetry-api = ">=1.9.0,<3" +opentelemetry-sdk = ">=1.9.0,<3" +packaging = "<25" +protobuf = ">=3.12.0,<7" +pydantic = ">=1.10.8,<3" +pyyaml = ">=5.1,<7" +requests = ">=2.17.3,<3" +sqlparse = ">=0.4.0,<1" +typing-extensions = ">=4.0.0,<5" +uvicorn = "<1" + +[package.extras] +aliyun-oss = ["aliyunstoreplugin"] +auth = ["Flask-WTF (<2)"] +databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore", "google-cloud-storage (>=1.30.0)"] +extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"] +gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"] +genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"] +jfrog = ["mlflow-jfrog-plugin"] +langchain = ["langchain (>=0.1.0,<=0.3.23)"] +mlserver = ["mlserver (>=1.2.0,!=1.3.1)", "mlserver-mlflow (>=1.2.0,!=1.3.1)"] +sqlserver = ["mlflow-dbstore"] +xethub = ["mlflow-xethub"] + +[[package]] +name = "mpmath" +version = "1.3.0" +description = "Python library for arbitrary-precision floating-point arithmetic" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, + {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, +] + +[package.extras] +develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] +docs = ["sphinx"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] +tests = ["pytest (>=4.6)"] + +[[package]] +name = "msal" +version = "1.33.0" +description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "msal-1.33.0-py3-none-any.whl", hash = "sha256:c0cd41cecf8eaed733ee7e3be9e040291eba53b0f262d3ae9c58f38b04244273"}, + {file = "msal-1.33.0.tar.gz", hash = "sha256:836ad80faa3e25a7d71015c990ce61f704a87328b1e73bcbb0623a18cbf17510"}, +] + +[package.dependencies] +cryptography = ">=2.5,<48" +PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} +requests = ">=2.0.0,<3" + +[package.extras] +broker = ["pymsalruntime (>=0.14,<0.19) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.19) ; python_version >= \"3.8\" and platform_system == \"Darwin\"", "pymsalruntime (>=0.18,<0.19) ; python_version >= \"3.8\" and platform_system == \"Linux\""] + +[[package]] +name = "msal-extensions" +version = "1.3.1" +description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "msal_extensions-1.3.1-py3-none-any.whl", hash = "sha256:96d3de4d034504e969ac5e85bae8106c8373b5c6568e4c8fa7af2eca9dbe6bca"}, + {file = "msal_extensions-1.3.1.tar.gz", hash = "sha256:c5b0fd10f65ef62b5f1d62f4251d51cbcaf003fcedae8c91b040a488614be1a4"}, +] + +[package.dependencies] +msal = ">=1.29,<2" + +[package.extras] +portalocker = ["portalocker (>=1.4,<4)"] + +[[package]] +name = "msgpack" +version = "1.1.1" +description = "MessagePack serializer" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "msgpack-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:353b6fc0c36fde68b661a12949d7d49f8f51ff5fa019c1e47c87c4ff34b080ed"}, + {file = "msgpack-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:79c408fcf76a958491b4e3b103d1c417044544b68e96d06432a189b43d1215c8"}, + {file = "msgpack-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78426096939c2c7482bf31ef15ca219a9e24460289c00dd0b94411040bb73ad2"}, + {file = "msgpack-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b17ba27727a36cb73aabacaa44b13090feb88a01d012c0f4be70c00f75048b4"}, + {file = "msgpack-1.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7a17ac1ea6ec3c7687d70201cfda3b1e8061466f28f686c24f627cae4ea8efd0"}, + {file = "msgpack-1.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:88d1e966c9235c1d4e2afac21ca83933ba59537e2e2727a999bf3f515ca2af26"}, + {file = "msgpack-1.1.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:f6d58656842e1b2ddbe07f43f56b10a60f2ba5826164910968f5933e5178af75"}, + {file = "msgpack-1.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:96decdfc4adcbc087f5ea7ebdcfd3dee9a13358cae6e81d54be962efc38f6338"}, + {file = "msgpack-1.1.1-cp310-cp310-win32.whl", hash = "sha256:6640fd979ca9a212e4bcdf6eb74051ade2c690b862b679bfcb60ae46e6dc4bfd"}, + {file = "msgpack-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:8b65b53204fe1bd037c40c4148d00ef918eb2108d24c9aaa20bc31f9810ce0a8"}, + {file = "msgpack-1.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:71ef05c1726884e44f8b1d1773604ab5d4d17729d8491403a705e649116c9558"}, + {file = "msgpack-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:36043272c6aede309d29d56851f8841ba907a1a3d04435e43e8a19928e243c1d"}, + {file = "msgpack-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a32747b1b39c3ac27d0670122b57e6e57f28eefb725e0b625618d1b59bf9d1e0"}, + {file = "msgpack-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a8b10fdb84a43e50d38057b06901ec9da52baac6983d3f709d8507f3889d43f"}, + {file = "msgpack-1.1.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba0c325c3f485dc54ec298d8b024e134acf07c10d494ffa24373bea729acf704"}, + {file = "msgpack-1.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:88daaf7d146e48ec71212ce21109b66e06a98e5e44dca47d853cbfe171d6c8d2"}, + {file = "msgpack-1.1.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:d8b55ea20dc59b181d3f47103f113e6f28a5e1c89fd5b67b9140edb442ab67f2"}, + {file = "msgpack-1.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4a28e8072ae9779f20427af07f53bbb8b4aa81151054e882aee333b158da8752"}, + {file = "msgpack-1.1.1-cp311-cp311-win32.whl", hash = "sha256:7da8831f9a0fdb526621ba09a281fadc58ea12701bc709e7b8cbc362feabc295"}, + {file = "msgpack-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:5fd1b58e1431008a57247d6e7cc4faa41c3607e8e7d4aaf81f7c29ea013cb458"}, + {file = "msgpack-1.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ae497b11f4c21558d95de9f64fff7053544f4d1a17731c866143ed6bb4591238"}, + {file = "msgpack-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:33be9ab121df9b6b461ff91baac6f2731f83d9b27ed948c5b9d1978ae28bf157"}, + {file = "msgpack-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f64ae8fe7ffba251fecb8408540c34ee9df1c26674c50c4544d72dbf792e5ce"}, + {file = "msgpack-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a494554874691720ba5891c9b0b39474ba43ffb1aaf32a5dac874effb1619e1a"}, + {file = "msgpack-1.1.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cb643284ab0ed26f6957d969fe0dd8bb17beb567beb8998140b5e38a90974f6c"}, + {file = "msgpack-1.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d275a9e3c81b1093c060c3837e580c37f47c51eca031f7b5fb76f7b8470f5f9b"}, + {file = "msgpack-1.1.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4fd6b577e4541676e0cc9ddc1709d25014d3ad9a66caa19962c4f5de30fc09ef"}, + {file = "msgpack-1.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:bb29aaa613c0a1c40d1af111abf025f1732cab333f96f285d6a93b934738a68a"}, + {file = "msgpack-1.1.1-cp312-cp312-win32.whl", hash = "sha256:870b9a626280c86cff9c576ec0d9cbcc54a1e5ebda9cd26dab12baf41fee218c"}, + {file = "msgpack-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:5692095123007180dca3e788bb4c399cc26626da51629a31d40207cb262e67f4"}, + {file = "msgpack-1.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3765afa6bd4832fc11c3749be4ba4b69a0e8d7b728f78e68120a157a4c5d41f0"}, + {file = "msgpack-1.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8ddb2bcfd1a8b9e431c8d6f4f7db0773084e107730ecf3472f1dfe9ad583f3d9"}, + {file = "msgpack-1.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:196a736f0526a03653d829d7d4c5500a97eea3648aebfd4b6743875f28aa2af8"}, + {file = "msgpack-1.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d592d06e3cc2f537ceeeb23d38799c6ad83255289bb84c2e5792e5a8dea268a"}, + {file = "msgpack-1.1.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4df2311b0ce24f06ba253fda361f938dfecd7b961576f9be3f3fbd60e87130ac"}, + {file = "msgpack-1.1.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e4141c5a32b5e37905b5940aacbc59739f036930367d7acce7a64e4dec1f5e0b"}, + {file = "msgpack-1.1.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b1ce7f41670c5a69e1389420436f41385b1aa2504c3b0c30620764b15dded2e7"}, + {file = "msgpack-1.1.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4147151acabb9caed4e474c3344181e91ff7a388b888f1e19ea04f7e73dc7ad5"}, + {file = "msgpack-1.1.1-cp313-cp313-win32.whl", hash = "sha256:500e85823a27d6d9bba1d057c871b4210c1dd6fb01fbb764e37e4e8847376323"}, + {file = "msgpack-1.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:6d489fba546295983abd142812bda76b57e33d0b9f5d5b71c09a583285506f69"}, + {file = "msgpack-1.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bba1be28247e68994355e028dcd668316db30c1f758d3241a7b903ac78dcd285"}, + {file = "msgpack-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8f93dcddb243159c9e4109c9750ba5b335ab8d48d9522c5308cd05d7e3ce600"}, + {file = "msgpack-1.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2fbbc0b906a24038c9958a1ba7ae0918ad35b06cb449d398b76a7d08470b0ed9"}, + {file = "msgpack-1.1.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:61e35a55a546a1690d9d09effaa436c25ae6130573b6ee9829c37ef0f18d5e78"}, + {file = "msgpack-1.1.1-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:1abfc6e949b352dadf4bce0eb78023212ec5ac42f6abfd469ce91d783c149c2a"}, + {file = "msgpack-1.1.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:996f2609ddf0142daba4cefd767d6db26958aac8439ee41db9cc0db9f4c4c3a6"}, + {file = "msgpack-1.1.1-cp38-cp38-win32.whl", hash = "sha256:4d3237b224b930d58e9d83c81c0dba7aacc20fcc2f89c1e5423aa0529a4cd142"}, + {file = "msgpack-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:da8f41e602574ece93dbbda1fab24650d6bf2a24089f9e9dbb4f5730ec1e58ad"}, + {file = "msgpack-1.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f5be6b6bc52fad84d010cb45433720327ce886009d862f46b26d4d154001994b"}, + {file = "msgpack-1.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3a89cd8c087ea67e64844287ea52888239cbd2940884eafd2dcd25754fb72232"}, + {file = "msgpack-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d75f3807a9900a7d575d8d6674a3a47e9f227e8716256f35bc6f03fc597ffbf"}, + {file = "msgpack-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d182dac0221eb8faef2e6f44701812b467c02674a322c739355c39e94730cdbf"}, + {file = "msgpack-1.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1b13fe0fb4aac1aa5320cd693b297fe6fdef0e7bea5518cbc2dd5299f873ae90"}, + {file = "msgpack-1.1.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:435807eeb1bc791ceb3247d13c79868deb22184e1fc4224808750f0d7d1affc1"}, + {file = "msgpack-1.1.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4835d17af722609a45e16037bb1d4d78b7bdf19d6c0128116d178956618c4e88"}, + {file = "msgpack-1.1.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a8ef6e342c137888ebbfb233e02b8fbd689bb5b5fcc59b34711ac47ebd504478"}, + {file = "msgpack-1.1.1-cp39-cp39-win32.whl", hash = "sha256:61abccf9de335d9efd149e2fff97ed5974f2481b3353772e8e2dd3402ba2bd57"}, + {file = "msgpack-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:40eae974c873b2992fd36424a5d9407f93e97656d999f43fca9d29f820899084"}, + {file = "msgpack-1.1.1.tar.gz", hash = "sha256:77b79ce34a2bdab2594f490c8e80dd62a02d650b91a75159a63ec413b8d104cd"}, +] + +[[package]] +name = "msrest" +version = "0.7.1" +description = "AutoRest swagger generator Python client runtime." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "msrest-0.7.1-py3-none-any.whl", hash = "sha256:21120a810e1233e5e6cc7fe40b474eeb4ec6f757a15d7cf86702c369f9567c32"}, + {file = "msrest-0.7.1.zip", hash = "sha256:6e7661f46f3afd88b75667b7187a92829924446c7ea1d169be8c4bb7eeb788b9"}, +] + +[package.dependencies] +azure-core = ">=1.24.0" +certifi = ">=2017.4.17" +isodate = ">=0.6.0" +requests = ">=2.16,<3.0" +requests-oauthlib = ">=0.5.0" + +[package.extras] +async = ["aiodns ; python_version >= \"3.5\"", "aiohttp (>=3.0) ; python_version >= \"3.5\""] + +[[package]] +name = "multidict" +version = "6.6.4" +description = "multidict implementation" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "multidict-6.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b8aa6f0bd8125ddd04a6593437bad6a7e70f300ff4180a531654aa2ab3f6d58f"}, + {file = "multidict-6.6.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b9e5853bbd7264baca42ffc53391b490d65fe62849bf2c690fa3f6273dbcd0cb"}, + {file = "multidict-6.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0af5f9dee472371e36d6ae38bde009bd8ce65ac7335f55dcc240379d7bed1495"}, + {file = "multidict-6.6.4-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:d24f351e4d759f5054b641c81e8291e5d122af0fca5c72454ff77f7cbe492de8"}, + {file = "multidict-6.6.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:db6a3810eec08280a172a6cd541ff4a5f6a97b161d93ec94e6c4018917deb6b7"}, + {file = "multidict-6.6.4-cp310-cp310-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:a1b20a9d56b2d81e2ff52ecc0670d583eaabaa55f402e8d16dd062373dbbe796"}, + {file = "multidict-6.6.4-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:8c9854df0eaa610a23494c32a6f44a3a550fb398b6b51a56e8c6b9b3689578db"}, + {file = "multidict-6.6.4-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:4bb7627fd7a968f41905a4d6343b0d63244a0623f006e9ed989fa2b78f4438a0"}, + {file = "multidict-6.6.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:caebafea30ed049c57c673d0b36238b1748683be2593965614d7b0e99125c877"}, + {file = "multidict-6.6.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ad887a8250eb47d3ab083d2f98db7f48098d13d42eb7a3b67d8a5c795f224ace"}, + {file = "multidict-6.6.4-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:ed8358ae7d94ffb7c397cecb62cbac9578a83ecefc1eba27b9090ee910e2efb6"}, + {file = "multidict-6.6.4-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:ecab51ad2462197a4c000b6d5701fc8585b80eecb90583635d7e327b7b6923eb"}, + {file = "multidict-6.6.4-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:c5c97aa666cf70e667dfa5af945424ba1329af5dd988a437efeb3a09430389fb"}, + {file = "multidict-6.6.4-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:9a950b7cf54099c1209f455ac5970b1ea81410f2af60ed9eb3c3f14f0bfcf987"}, + {file = "multidict-6.6.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:163c7ea522ea9365a8a57832dea7618e6cbdc3cd75f8c627663587459a4e328f"}, + {file = "multidict-6.6.4-cp310-cp310-win32.whl", hash = "sha256:17d2cbbfa6ff20821396b25890f155f40c986f9cfbce5667759696d83504954f"}, + {file = "multidict-6.6.4-cp310-cp310-win_amd64.whl", hash = "sha256:ce9a40fbe52e57e7edf20113a4eaddfacac0561a0879734e636aa6d4bb5e3fb0"}, + {file = "multidict-6.6.4-cp310-cp310-win_arm64.whl", hash = "sha256:01d0959807a451fe9fdd4da3e139cb5b77f7328baf2140feeaf233e1d777b729"}, + {file = "multidict-6.6.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c7a0e9b561e6460484318a7612e725df1145d46b0ef57c6b9866441bf6e27e0c"}, + {file = "multidict-6.6.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6bf2f10f70acc7a2446965ffbc726e5fc0b272c97a90b485857e5c70022213eb"}, + {file = "multidict-6.6.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:66247d72ed62d5dd29752ffc1d3b88f135c6a8de8b5f63b7c14e973ef5bda19e"}, + {file = "multidict-6.6.4-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:105245cc6b76f51e408451a844a54e6823bbd5a490ebfe5bdfc79798511ceded"}, + {file = "multidict-6.6.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cbbc54e58b34c3bae389ef00046be0961f30fef7cb0dd9c7756aee376a4f7683"}, + {file = "multidict-6.6.4-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:56c6b3652f945c9bc3ac6c8178cd93132b8d82dd581fcbc3a00676c51302bc1a"}, + {file = "multidict-6.6.4-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b95494daf857602eccf4c18ca33337dd2be705bccdb6dddbfc9d513e6addb9d9"}, + {file = "multidict-6.6.4-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:e5b1413361cef15340ab9dc61523e653d25723e82d488ef7d60a12878227ed50"}, + {file = "multidict-6.6.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e167bf899c3d724f9662ef00b4f7fef87a19c22b2fead198a6f68b263618df52"}, + {file = "multidict-6.6.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aaea28ba20a9026dfa77f4b80369e51cb767c61e33a2d4043399c67bd95fb7c6"}, + {file = "multidict-6.6.4-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:8c91cdb30809a96d9ecf442ec9bc45e8cfaa0f7f8bdf534e082c2443a196727e"}, + {file = "multidict-6.6.4-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1a0ccbfe93ca114c5d65a2471d52d8829e56d467c97b0e341cf5ee45410033b3"}, + {file = "multidict-6.6.4-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:55624b3f321d84c403cb7d8e6e982f41ae233d85f85db54ba6286f7295dc8a9c"}, + {file = "multidict-6.6.4-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:4a1fb393a2c9d202cb766c76208bd7945bc194eba8ac920ce98c6e458f0b524b"}, + {file = "multidict-6.6.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:43868297a5759a845fa3a483fb4392973a95fb1de891605a3728130c52b8f40f"}, + {file = "multidict-6.6.4-cp311-cp311-win32.whl", hash = "sha256:ed3b94c5e362a8a84d69642dbeac615452e8af9b8eb825b7bc9f31a53a1051e2"}, + {file = "multidict-6.6.4-cp311-cp311-win_amd64.whl", hash = "sha256:d8c112f7a90d8ca5d20213aa41eac690bb50a76da153e3afb3886418e61cb22e"}, + {file = "multidict-6.6.4-cp311-cp311-win_arm64.whl", hash = "sha256:3bb0eae408fa1996d87247ca0d6a57b7fc1dcf83e8a5c47ab82c558c250d4adf"}, + {file = "multidict-6.6.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0ffb87be160942d56d7b87b0fdf098e81ed565add09eaa1294268c7f3caac4c8"}, + {file = "multidict-6.6.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d191de6cbab2aff5de6c5723101705fd044b3e4c7cfd587a1929b5028b9714b3"}, + {file = "multidict-6.6.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:38a0956dd92d918ad5feff3db8fcb4a5eb7dba114da917e1a88475619781b57b"}, + {file = "multidict-6.6.4-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:6865f6d3b7900ae020b495d599fcf3765653bc927951c1abb959017f81ae8287"}, + {file = "multidict-6.6.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0a2088c126b6f72db6c9212ad827d0ba088c01d951cee25e758c450da732c138"}, + {file = "multidict-6.6.4-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:0f37bed7319b848097085d7d48116f545985db988e2256b2e6f00563a3416ee6"}, + {file = "multidict-6.6.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:01368e3c94032ba6ca0b78e7ccb099643466cf24f8dc8eefcfdc0571d56e58f9"}, + {file = "multidict-6.6.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8fe323540c255db0bffee79ad7f048c909f2ab0edb87a597e1c17da6a54e493c"}, + {file = "multidict-6.6.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8eb3025f17b0a4c3cd08cda49acf312a19ad6e8a4edd9dbd591e6506d999402"}, + {file = "multidict-6.6.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bbc14f0365534d35a06970d6a83478b249752e922d662dc24d489af1aa0d1be7"}, + {file = "multidict-6.6.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:75aa52fba2d96bf972e85451b99d8e19cc37ce26fd016f6d4aa60da9ab2b005f"}, + {file = "multidict-6.6.4-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4fefd4a815e362d4f011919d97d7b4a1e566f1dde83dc4ad8cfb5b41de1df68d"}, + {file = "multidict-6.6.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:db9801fe021f59a5b375ab778973127ca0ac52429a26e2fd86aa9508f4d26eb7"}, + {file = "multidict-6.6.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:a650629970fa21ac1fb06ba25dabfc5b8a2054fcbf6ae97c758aa956b8dba802"}, + {file = "multidict-6.6.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:452ff5da78d4720d7516a3a2abd804957532dd69296cb77319c193e3ffb87e24"}, + {file = "multidict-6.6.4-cp312-cp312-win32.whl", hash = "sha256:8c2fcb12136530ed19572bbba61b407f655e3953ba669b96a35036a11a485793"}, + {file = "multidict-6.6.4-cp312-cp312-win_amd64.whl", hash = "sha256:047d9425860a8c9544fed1b9584f0c8bcd31bcde9568b047c5e567a1025ecd6e"}, + {file = "multidict-6.6.4-cp312-cp312-win_arm64.whl", hash = "sha256:14754eb72feaa1e8ae528468f24250dd997b8e2188c3d2f593f9eba259e4b364"}, + {file = "multidict-6.6.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:f46a6e8597f9bd71b31cc708195d42b634c8527fecbcf93febf1052cacc1f16e"}, + {file = "multidict-6.6.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:22e38b2bc176c5eb9c0a0e379f9d188ae4cd8b28c0f53b52bce7ab0a9e534657"}, + {file = "multidict-6.6.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5df8afd26f162da59e218ac0eefaa01b01b2e6cd606cffa46608f699539246da"}, + {file = "multidict-6.6.4-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:49517449b58d043023720aa58e62b2f74ce9b28f740a0b5d33971149553d72aa"}, + {file = "multidict-6.6.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ae9408439537c5afdca05edd128a63f56a62680f4b3c234301055d7a2000220f"}, + {file = "multidict-6.6.4-cp313-cp313-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:87a32d20759dc52a9e850fe1061b6e41ab28e2998d44168a8a341b99ded1dba0"}, + {file = "multidict-6.6.4-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:52e3c8d43cdfff587ceedce9deb25e6ae77daba560b626e97a56ddcad3756879"}, + {file = "multidict-6.6.4-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ad8850921d3a8d8ff6fbef790e773cecfc260bbfa0566998980d3fa8f520bc4a"}, + {file = "multidict-6.6.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:497a2954adc25c08daff36f795077f63ad33e13f19bfff7736e72c785391534f"}, + {file = "multidict-6.6.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:024ce601f92d780ca1617ad4be5ac15b501cc2414970ffa2bb2bbc2bd5a68fa5"}, + {file = "multidict-6.6.4-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:a693fc5ed9bdd1c9e898013e0da4dcc640de7963a371c0bd458e50e046bf6438"}, + {file = "multidict-6.6.4-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:190766dac95aab54cae5b152a56520fd99298f32a1266d66d27fdd1b5ac00f4e"}, + {file = "multidict-6.6.4-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:34d8f2a5ffdceab9dcd97c7a016deb2308531d5f0fced2bb0c9e1df45b3363d7"}, + {file = "multidict-6.6.4-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:59e8d40ab1f5a8597abcef00d04845155a5693b5da00d2c93dbe88f2050f2812"}, + {file = "multidict-6.6.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:467fe64138cfac771f0e949b938c2e1ada2b5af22f39692aa9258715e9ea613a"}, + {file = "multidict-6.6.4-cp313-cp313-win32.whl", hash = "sha256:14616a30fe6d0a48d0a48d1a633ab3b8bec4cf293aac65f32ed116f620adfd69"}, + {file = "multidict-6.6.4-cp313-cp313-win_amd64.whl", hash = "sha256:40cd05eaeb39e2bc8939451f033e57feaa2ac99e07dbca8afe2be450a4a3b6cf"}, + {file = "multidict-6.6.4-cp313-cp313-win_arm64.whl", hash = "sha256:f6eb37d511bfae9e13e82cb4d1af36b91150466f24d9b2b8a9785816deb16605"}, + {file = "multidict-6.6.4-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:6c84378acd4f37d1b507dfa0d459b449e2321b3ba5f2338f9b085cf7a7ba95eb"}, + {file = "multidict-6.6.4-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0e0558693063c75f3d952abf645c78f3c5dfdd825a41d8c4d8156fc0b0da6e7e"}, + {file = "multidict-6.6.4-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3f8e2384cb83ebd23fd07e9eada8ba64afc4c759cd94817433ab8c81ee4b403f"}, + {file = "multidict-6.6.4-cp313-cp313t-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:f996b87b420995a9174b2a7c1a8daf7db4750be6848b03eb5e639674f7963773"}, + {file = "multidict-6.6.4-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cc356250cffd6e78416cf5b40dc6a74f1edf3be8e834cf8862d9ed5265cf9b0e"}, + {file = "multidict-6.6.4-cp313-cp313t-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:dadf95aa862714ea468a49ad1e09fe00fcc9ec67d122f6596a8d40caf6cec7d0"}, + {file = "multidict-6.6.4-cp313-cp313t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7dd57515bebffd8ebd714d101d4c434063322e4fe24042e90ced41f18b6d3395"}, + {file = "multidict-6.6.4-cp313-cp313t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:967af5f238ebc2eb1da4e77af5492219fbd9b4b812347da39a7b5f5c72c0fa45"}, + {file = "multidict-6.6.4-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2a4c6875c37aae9794308ec43e3530e4aa0d36579ce38d89979bbf89582002bb"}, + {file = "multidict-6.6.4-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:7f683a551e92bdb7fac545b9c6f9fa2aebdeefa61d607510b3533286fcab67f5"}, + {file = "multidict-6.6.4-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:3ba5aaf600edaf2a868a391779f7a85d93bed147854925f34edd24cc70a3e141"}, + {file = "multidict-6.6.4-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:580b643b7fd2c295d83cad90d78419081f53fd532d1f1eb67ceb7060f61cff0d"}, + {file = "multidict-6.6.4-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:37b7187197da6af3ee0b044dbc9625afd0c885f2800815b228a0e70f9a7f473d"}, + {file = "multidict-6.6.4-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:e1b93790ed0bc26feb72e2f08299691ceb6da5e9e14a0d13cc74f1869af327a0"}, + {file = "multidict-6.6.4-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a506a77ddee1efcca81ecbeae27ade3e09cdf21a8ae854d766c2bb4f14053f92"}, + {file = "multidict-6.6.4-cp313-cp313t-win32.whl", hash = "sha256:f93b2b2279883d1d0a9e1bd01f312d6fc315c5e4c1f09e112e4736e2f650bc4e"}, + {file = "multidict-6.6.4-cp313-cp313t-win_amd64.whl", hash = "sha256:6d46a180acdf6e87cc41dc15d8f5c2986e1e8739dc25dbb7dac826731ef381a4"}, + {file = "multidict-6.6.4-cp313-cp313t-win_arm64.whl", hash = "sha256:756989334015e3335d087a27331659820d53ba432befdef6a718398b0a8493ad"}, + {file = "multidict-6.6.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:af7618b591bae552b40dbb6f93f5518328a949dac626ee75927bba1ecdeea9f4"}, + {file = "multidict-6.6.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b6819f83aef06f560cb15482d619d0e623ce9bf155115150a85ab11b8342a665"}, + {file = "multidict-6.6.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4d09384e75788861e046330308e7af54dd306aaf20eb760eb1d0de26b2bea2cb"}, + {file = "multidict-6.6.4-cp39-cp39-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:a59c63061f1a07b861c004e53869eb1211ffd1a4acbca330e3322efa6dd02978"}, + {file = "multidict-6.6.4-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:350f6b0fe1ced61e778037fdc7613f4051c8baf64b1ee19371b42a3acdb016a0"}, + {file = "multidict-6.6.4-cp39-cp39-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:0c5cbac6b55ad69cb6aa17ee9343dfbba903118fd530348c330211dc7aa756d1"}, + {file = "multidict-6.6.4-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:630f70c32b8066ddfd920350bc236225814ad94dfa493fe1910ee17fe4365cbb"}, + {file = "multidict-6.6.4-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:f8d4916a81697faec6cb724a273bd5457e4c6c43d82b29f9dc02c5542fd21fc9"}, + {file = "multidict-6.6.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8e42332cf8276bb7645d310cdecca93a16920256a5b01bebf747365f86a1675b"}, + {file = "multidict-6.6.4-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f3be27440f7644ab9a13a6fc86f09cdd90b347c3c5e30c6d6d860de822d7cb53"}, + {file = "multidict-6.6.4-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:21f216669109e02ef3e2415ede07f4f8987f00de8cdfa0cc0b3440d42534f9f0"}, + {file = "multidict-6.6.4-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:d9890d68c45d1aeac5178ded1d1cccf3bc8d7accf1f976f79bf63099fb16e4bd"}, + {file = "multidict-6.6.4-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:edfdcae97cdc5d1a89477c436b61f472c4d40971774ac4729c613b4b133163cb"}, + {file = "multidict-6.6.4-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:0b2e886624be5773e69cf32bcb8534aecdeb38943520b240fed3d5596a430f2f"}, + {file = "multidict-6.6.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:be5bf4b3224948032a845d12ab0f69f208293742df96dc14c4ff9b09e508fc17"}, + {file = "multidict-6.6.4-cp39-cp39-win32.whl", hash = "sha256:10a68a9191f284fe9d501fef4efe93226e74df92ce7a24e301371293bd4918ae"}, + {file = "multidict-6.6.4-cp39-cp39-win_amd64.whl", hash = "sha256:ee25f82f53262f9ac93bd7e58e47ea1bdcc3393cef815847e397cba17e284210"}, + {file = "multidict-6.6.4-cp39-cp39-win_arm64.whl", hash = "sha256:f9867e55590e0855bcec60d4f9a092b69476db64573c9fe17e92b0c50614c16a"}, + {file = "multidict-6.6.4-py3-none-any.whl", hash = "sha256:27d8f8e125c07cb954e54d75d04905a9bba8a439c1d84aca94949d4d03d8601c"}, + {file = "multidict-6.6.4.tar.gz", hash = "sha256:d2d4e4787672911b48350df02ed3fa3fffdc2f2e8ca06dd6afdf34189b76a9dd"}, +] + +[[package]] +name = "multiprocess" +version = "0.70.16" +description = "better multiprocessing and multithreading in Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"}, + {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"}, + {file = "multiprocess-0.70.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:37b55f71c07e2d741374998c043b9520b626a8dddc8b3129222ca4f1a06ef67a"}, + {file = "multiprocess-0.70.16-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba8c31889abf4511c7308a8c52bb4a30b9d590e7f58523302ba00237702ca054"}, + {file = "multiprocess-0.70.16-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:0dfd078c306e08d46d7a8d06fb120313d87aa43af60d66da43ffff40b44d2f41"}, + {file = "multiprocess-0.70.16-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e7b9d0f307cd9bd50851afaac0dba2cb6c44449efff697df7c7645f7d3f2be3a"}, + {file = "multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02"}, + {file = "multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a"}, + {file = "multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e"}, + {file = "multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435"}, + {file = "multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3"}, + {file = "multiprocess-0.70.16.tar.gz", hash = "sha256:161af703d4652a0e1410be6abccecde4a7ddffd19341be0a7011b94aeb171ac1"}, +] + +[package.dependencies] +dill = ">=0.3.8" + +[[package]] +name = "mypy-extensions" +version = "1.1.0" +description = "Type system extensions for programs checked with the mypy type checker." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"}, + {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"}, +] + +[[package]] +name = "nbclient" +version = "0.10.2" +description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d"}, + {file = "nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193"}, +] + +[package.dependencies] +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +nbformat = ">=5.1" +traitlets = ">=5.4" + +[package.extras] +dev = ["pre-commit"] +docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"] +test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] + +[[package]] +name = "nbconvert" +version = "7.16.6" +description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b"}, + {file = "nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582"}, +] + +[package.dependencies] +beautifulsoup4 = "*" +bleach = {version = "!=5.0.0", extras = ["css"]} +defusedxml = "*" +jinja2 = ">=3.0" +jupyter-core = ">=4.7" +jupyterlab-pygments = "*" +markupsafe = ">=2.0" +mistune = ">=2.0.3,<4" +nbclient = ">=0.5.0" +nbformat = ">=5.7" +packaging = "*" +pandocfilters = ">=1.4.1" +pygments = ">=2.4.1" +traitlets = ">=5.1" + +[package.extras] +all = ["flaky", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (==5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"] +docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"] +qtpdf = ["pyqtwebengine (>=5.15)"] +qtpng = ["pyqtwebengine (>=5.15)"] +serve = ["tornado (>=6.1)"] +test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"] +webpdf = ["playwright"] + +[[package]] +name = "nbformat" +version = "5.10.4" +description = "The Jupyter Notebook format" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, + {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, +] + +[package.dependencies] +fastjsonschema = ">=2.15" +jsonschema = ">=2.6" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +traitlets = ">=5.1" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["pep440", "pre-commit", "pytest", "testpath"] + +[[package]] +name = "nemo" +version = "7.2.4" +description = "NEMO is a laboratory logistics web application. Use it to schedule reservations, control tool access, track maintenance issues, and more." +optional = false +python-versions = "<4,>=3.9" +groups = ["main"] +files = [ + {file = "nemo-7.2.4-py3-none-any.whl", hash = "sha256:b6055a04e320c0118e19fccc9b9568e98c49d4d9029deb7f176e8087284a0e0b"}, + {file = "nemo-7.2.4.tar.gz", hash = "sha256:aceb8092bb87047f59697ad29230756fe2166234753260b329564c3ef16fb1a0"}, +] + +[package.dependencies] +cryptography = "45.0.4" +Django = "4.2.23" +django-auditlog = "3.2.0" +django-filter = "25.1" +django-jsonform = "2.23.2" +django-mptt = "0.14.0" +djangorestframework = "3.16.0" +drf-excel = "2.5.3" +drf-flex-fields = "1.0.2" +ldap3 = "2.9.1" +packaging = "24.2" +Pillow = "11.2.1" +pymodbus = "3.8.6" +python-dateutil = "2.9.0" +requests = "2.32.3" + +[package.extras] +dev-tools = ["black", "djlint", "pre-commit"] + +[[package]] +name = "nest-asyncio" +version = "1.6.0" +description = "Patch asyncio to allow nested event loops" +optional = false +python-versions = ">=3.5" +groups = ["main"] +files = [ + {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, + {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, +] + +[[package]] +name = "networkx" +version = "3.5" +description = "Python package for creating and manipulating graphs and networks" +optional = false +python-versions = ">=3.11" +groups = ["main"] +files = [ + {file = "networkx-3.5-py3-none-any.whl", hash = "sha256:0030d386a9a06dee3565298b4a734b68589749a544acbb6c412dc9e2489ec6ec"}, + {file = "networkx-3.5.tar.gz", hash = "sha256:d4c6f9cf81f52d69230866796b82afbccdec3db7ae4fbd1b65ea750feed50037"}, +] + +[package.extras] +default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"] +developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"] +doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"] +example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"] +extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"] +test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"] +test-extras = ["pytest-mpl", "pytest-randomly"] + +[[package]] +name = "nodeenv" +version = "1.9.1" +description = "Node.js virtual environment builder" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +files = [ + {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"}, + {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"}, +] + +[[package]] +name = "notebook" +version = "7.4.5" +description = "Jupyter Notebook - A web-based notebook environment for interactive computing" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "notebook-7.4.5-py3-none-any.whl", hash = "sha256:351635461aca9dad08cf8946a4216f963e2760cc1bf7b1aaaecb23afc33ec046"}, + {file = "notebook-7.4.5.tar.gz", hash = "sha256:7c2c4ea245913c3ad8ab3e5d36b34a842c06e524556f5c2e1f5d7d08c986615e"}, +] + +[package.dependencies] +jupyter-server = ">=2.4.0,<3" +jupyterlab = ">=4.4.5,<4.5" +jupyterlab-server = ">=2.27.1,<3" +notebook-shim = ">=0.2,<0.3" +tornado = ">=6.2.0" + +[package.extras] +dev = ["hatch", "pre-commit"] +docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["importlib-resources (>=5.0) ; python_version < \"3.10\"", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] + +[[package]] +name = "notebook-shim" +version = "0.2.4" +description = "A shim layer for notebook traits and config" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, + {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"}, +] + +[package.dependencies] +jupyter-server = ">=1.8,<3" + +[package.extras] +test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"] + +[[package]] +name = "numba" +version = "0.61.2" +description = "compiling Python code using LLVM" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "numba-0.61.2-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:cf9f9fc00d6eca0c23fc840817ce9f439b9f03c8f03d6246c0e7f0cb15b7162a"}, + {file = "numba-0.61.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ea0247617edcb5dd61f6106a56255baab031acc4257bddaeddb3a1003b4ca3fd"}, + {file = "numba-0.61.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ae8c7a522c26215d5f62ebec436e3d341f7f590079245a2f1008dfd498cc1642"}, + {file = "numba-0.61.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bd1e74609855aa43661edffca37346e4e8462f6903889917e9f41db40907daa2"}, + {file = "numba-0.61.2-cp310-cp310-win_amd64.whl", hash = "sha256:ae45830b129c6137294093b269ef0a22998ccc27bf7cf096ab8dcf7bca8946f9"}, + {file = "numba-0.61.2-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:efd3db391df53aaa5cfbee189b6c910a5b471488749fd6606c3f33fc984c2ae2"}, + {file = "numba-0.61.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:49c980e4171948ffebf6b9a2520ea81feed113c1f4890747ba7f59e74be84b1b"}, + {file = "numba-0.61.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3945615cd73c2c7eba2a85ccc9c1730c21cd3958bfcf5a44302abae0fb07bb60"}, + {file = "numba-0.61.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbfdf4eca202cebade0b7d43896978e146f39398909a42941c9303f82f403a18"}, + {file = "numba-0.61.2-cp311-cp311-win_amd64.whl", hash = "sha256:76bcec9f46259cedf888041b9886e257ae101c6268261b19fda8cfbc52bec9d1"}, + {file = "numba-0.61.2-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:34fba9406078bac7ab052efbf0d13939426c753ad72946baaa5bf9ae0ebb8dd2"}, + {file = "numba-0.61.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4ddce10009bc097b080fc96876d14c051cc0c7679e99de3e0af59014dab7dfe8"}, + {file = "numba-0.61.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b1bb509d01f23d70325d3a5a0e237cbc9544dd50e50588bc581ba860c213546"}, + {file = "numba-0.61.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:48a53a3de8f8793526cbe330f2a39fe9a6638efcbf11bd63f3d2f9757ae345cd"}, + {file = "numba-0.61.2-cp312-cp312-win_amd64.whl", hash = "sha256:97cf4f12c728cf77c9c1d7c23707e4d8fb4632b46275f8f3397de33e5877af18"}, + {file = "numba-0.61.2-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:3a10a8fc9afac40b1eac55717cece1b8b1ac0b946f5065c89e00bde646b5b154"}, + {file = "numba-0.61.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7d3bcada3c9afba3bed413fba45845f2fb9cd0d2b27dd58a1be90257e293d140"}, + {file = "numba-0.61.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bdbca73ad81fa196bd53dc12e3aaf1564ae036e0c125f237c7644fe64a4928ab"}, + {file = "numba-0.61.2-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:5f154aaea625fb32cfbe3b80c5456d514d416fcdf79733dd69c0df3a11348e9e"}, + {file = "numba-0.61.2-cp313-cp313-win_amd64.whl", hash = "sha256:59321215e2e0ac5fa928a8020ab00b8e57cda8a97384963ac0dfa4d4e6aa54e7"}, + {file = "numba-0.61.2.tar.gz", hash = "sha256:8750ee147940a6637b80ecf7f95062185ad8726c8c28a2295b8ec1160a196f7d"}, +] + +[package.dependencies] +llvmlite = "==0.44.*" +numpy = ">=1.24,<2.3" + +[[package]] +name = "numpy" +version = "2.2.6" +description = "Fundamental package for array computing in Python" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, + {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, + {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163"}, + {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf"}, + {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83"}, + {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915"}, + {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680"}, + {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289"}, + {file = "numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d"}, + {file = "numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3"}, + {file = "numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae"}, + {file = "numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a"}, + {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42"}, + {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491"}, + {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a"}, + {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf"}, + {file = "numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1"}, + {file = "numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab"}, + {file = "numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47"}, + {file = "numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303"}, + {file = "numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff"}, + {file = "numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c"}, + {file = "numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3"}, + {file = "numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282"}, + {file = "numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87"}, + {file = "numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249"}, + {file = "numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49"}, + {file = "numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de"}, + {file = "numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4"}, + {file = "numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2"}, + {file = "numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84"}, + {file = "numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b"}, + {file = "numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d"}, + {file = "numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566"}, + {file = "numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f"}, + {file = "numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f"}, + {file = "numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868"}, + {file = "numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d"}, + {file = "numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd"}, + {file = "numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c"}, + {file = "numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6"}, + {file = "numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda"}, + {file = "numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40"}, + {file = "numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8"}, + {file = "numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f"}, + {file = "numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa"}, + {file = "numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571"}, + {file = "numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1"}, + {file = "numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff"}, + {file = "numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06"}, + {file = "numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d"}, + {file = "numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db"}, + {file = "numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543"}, + {file = "numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00"}, + {file = "numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd"}, +] + +[[package]] +name = "nvidia-cublas-cu12" +version = "12.1.3.1" +description = "CUBLAS native runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"}, + {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"}, +] + +[[package]] +name = "nvidia-cuda-cupti-cu12" +version = "12.1.105" +description = "CUDA profiling tools runtime libs." +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"}, + {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"}, +] + +[[package]] +name = "nvidia-cuda-nvrtc-cu12" +version = "12.1.105" +description = "NVRTC native runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"}, + {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"}, +] + +[[package]] +name = "nvidia-cuda-runtime-cu12" +version = "12.1.105" +description = "CUDA Runtime native Libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"}, + {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"}, +] + +[[package]] +name = "nvidia-cudnn-cu12" +version = "8.9.2.26" +description = "cuDNN runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"}, +] + +[package.dependencies] +nvidia-cublas-cu12 = "*" + +[[package]] +name = "nvidia-cufft-cu12" +version = "11.0.2.54" +description = "CUFFT native runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"}, + {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"}, +] + +[[package]] +name = "nvidia-curand-cu12" +version = "10.3.2.106" +description = "CURAND native runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"}, + {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"}, +] + +[[package]] +name = "nvidia-cusolver-cu12" +version = "11.4.5.107" +description = "CUDA solver native runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"}, + {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"}, +] + +[package.dependencies] +nvidia-cublas-cu12 = "*" +nvidia-cusparse-cu12 = "*" +nvidia-nvjitlink-cu12 = "*" + +[[package]] +name = "nvidia-cusparse-cu12" +version = "12.1.0.106" +description = "CUSPARSE native runtime libraries" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"}, + {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"}, +] + +[package.dependencies] +nvidia-nvjitlink-cu12 = "*" + +[[package]] +name = "nvidia-nccl-cu12" +version = "2.19.3" +description = "NVIDIA Collective Communication Library (NCCL) Runtime" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"}, +] + +[[package]] +name = "nvidia-nvjitlink-cu12" +version = "12.8.93" +description = "Nvidia JIT LTO Library" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"}, + {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"}, + {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f"}, +] + +[[package]] +name = "nvidia-nvtx-cu12" +version = "12.1.105" +description = "NVIDIA Tools Extension" +optional = false +python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +files = [ + {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"}, + {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"}, +] + +[[package]] +name = "oauthlib" +version = "3.3.1" +description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "oauthlib-3.3.1-py3-none-any.whl", hash = "sha256:88119c938d2b8fb88561af5f6ee0eec8cc8d552b7bb1f712743136eb7523b7a1"}, + {file = "oauthlib-3.3.1.tar.gz", hash = "sha256:0f0f8aa759826a193cf66c12ea1af1637f87b9b4622d46e866952bb022e538c9"}, +] + +[package.extras] +rsa = ["cryptography (>=3.0.0)"] +signals = ["blinker (>=1.4.0)"] +signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] + +[[package]] +name = "openpyxl" +version = "3.1.5" +description = "A Python library to read/write Excel 2010 xlsx/xlsm files" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2"}, + {file = "openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050"}, +] + +[package.dependencies] +et-xmlfile = "*" + +[[package]] +name = "opentelemetry-api" +version = "1.37.0" +description = "OpenTelemetry Python API" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "opentelemetry_api-1.37.0-py3-none-any.whl", hash = "sha256:accf2024d3e89faec14302213bc39550ec0f4095d1cf5ca688e1bfb1c8612f47"}, + {file = "opentelemetry_api-1.37.0.tar.gz", hash = "sha256:540735b120355bd5112738ea53621f8d5edb35ebcd6fe21ada3ab1c61d1cd9a7"}, +] + +[package.dependencies] +importlib-metadata = ">=6.0,<8.8.0" +typing-extensions = ">=4.5.0" + +[[package]] +name = "opentelemetry-sdk" +version = "1.37.0" +description = "OpenTelemetry Python SDK" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "opentelemetry_sdk-1.37.0-py3-none-any.whl", hash = "sha256:8f3c3c22063e52475c5dbced7209495c2c16723d016d39287dfc215d1771257c"}, + {file = "opentelemetry_sdk-1.37.0.tar.gz", hash = "sha256:cc8e089c10953ded765b5ab5669b198bbe0af1b3f89f1007d19acd32dc46dda5"}, +] + +[package.dependencies] +opentelemetry-api = "1.37.0" +opentelemetry-semantic-conventions = "0.58b0" +typing-extensions = ">=4.5.0" + +[[package]] +name = "opentelemetry-semantic-conventions" +version = "0.58b0" +description = "OpenTelemetry Semantic Conventions" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "opentelemetry_semantic_conventions-0.58b0-py3-none-any.whl", hash = "sha256:5564905ab1458b96684db1340232729fce3b5375a06e140e8904c78e4f815b28"}, + {file = "opentelemetry_semantic_conventions-0.58b0.tar.gz", hash = "sha256:6bd46f51264279c433755767bb44ad00f1c9e2367e1b42af563372c5a6fa0c25"}, +] + +[package.dependencies] +opentelemetry-api = "1.37.0" +typing-extensions = ">=4.5.0" + +[[package]] +name = "orjson" +version = "3.11.3" +description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "orjson-3.11.3-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:29cb1f1b008d936803e2da3d7cba726fc47232c45df531b29edf0b232dd737e7"}, + {file = "orjson-3.11.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97dceed87ed9139884a55db8722428e27bd8452817fbf1869c58b49fecab1120"}, + {file = "orjson-3.11.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:58533f9e8266cb0ac298e259ed7b4d42ed3fa0b78ce76860626164de49e0d467"}, + {file = "orjson-3.11.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c212cfdd90512fe722fa9bd620de4d46cda691415be86b2e02243242ae81873"}, + {file = "orjson-3.11.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ff835b5d3e67d9207343effb03760c00335f8b5285bfceefd4dc967b0e48f6a"}, + {file = "orjson-3.11.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f5aa4682912a450c2db89cbd92d356fef47e115dffba07992555542f344d301b"}, + {file = "orjson-3.11.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7d18dd34ea2e860553a579df02041845dee0af8985dff7f8661306f95504ddf"}, + {file = "orjson-3.11.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d8b11701bc43be92ea42bd454910437b355dfb63696c06fe953ffb40b5f763b4"}, + {file = "orjson-3.11.3-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:90368277087d4af32d38bd55f9da2ff466d25325bf6167c8f382d8ee40cb2bbc"}, + {file = "orjson-3.11.3-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:fd7ff459fb393358d3a155d25b275c60b07a2c83dcd7ea962b1923f5a1134569"}, + {file = "orjson-3.11.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f8d902867b699bcd09c176a280b1acdab57f924489033e53d0afe79817da37e6"}, + {file = "orjson-3.11.3-cp310-cp310-win32.whl", hash = "sha256:bb93562146120bb51e6b154962d3dadc678ed0fce96513fa6bc06599bb6f6edc"}, + {file = "orjson-3.11.3-cp310-cp310-win_amd64.whl", hash = "sha256:976c6f1975032cc327161c65d4194c549f2589d88b105a5e3499429a54479770"}, + {file = "orjson-3.11.3-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9d2ae0cc6aeb669633e0124531f342a17d8e97ea999e42f12a5ad4adaa304c5f"}, + {file = "orjson-3.11.3-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:ba21dbb2493e9c653eaffdc38819b004b7b1b246fb77bfc93dc016fe664eac91"}, + {file = "orjson-3.11.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00f1a271e56d511d1569937c0447d7dce5a99a33ea0dec76673706360a051904"}, + {file = "orjson-3.11.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b67e71e47caa6680d1b6f075a396d04fa6ca8ca09aafb428731da9b3ea32a5a6"}, + {file = "orjson-3.11.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d7d012ebddffcce8c85734a6d9e5f08180cd3857c5f5a3ac70185b43775d043d"}, + {file = "orjson-3.11.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd759f75d6b8d1b62012b7f5ef9461d03c804f94d539a5515b454ba3a6588038"}, + {file = "orjson-3.11.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6890ace0809627b0dff19cfad92d69d0fa3f089d3e359a2a532507bb6ba34efb"}, + {file = "orjson-3.11.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9d4a5e041ae435b815e568537755773d05dac031fee6a57b4ba70897a44d9d2"}, + {file = "orjson-3.11.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2d68bf97a771836687107abfca089743885fb664b90138d8761cce61d5625d55"}, + {file = "orjson-3.11.3-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:bfc27516ec46f4520b18ef645864cee168d2a027dbf32c5537cb1f3e3c22dac1"}, + {file = "orjson-3.11.3-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:f66b001332a017d7945e177e282a40b6997056394e3ed7ddb41fb1813b83e824"}, + {file = "orjson-3.11.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:212e67806525d2561efbfe9e799633b17eb668b8964abed6b5319b2f1cfbae1f"}, + {file = "orjson-3.11.3-cp311-cp311-win32.whl", hash = "sha256:6e8e0c3b85575a32f2ffa59de455f85ce002b8bdc0662d6b9c2ed6d80ab5d204"}, + {file = "orjson-3.11.3-cp311-cp311-win_amd64.whl", hash = "sha256:6be2f1b5d3dc99a5ce5ce162fc741c22ba9f3443d3dd586e6a1211b7bc87bc7b"}, + {file = "orjson-3.11.3-cp311-cp311-win_arm64.whl", hash = "sha256:fafb1a99d740523d964b15c8db4eabbfc86ff29f84898262bf6e3e4c9e97e43e"}, + {file = "orjson-3.11.3-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:8c752089db84333e36d754c4baf19c0e1437012242048439c7e80eb0e6426e3b"}, + {file = "orjson-3.11.3-cp312-cp312-macosx_15_0_arm64.whl", hash = "sha256:9b8761b6cf04a856eb544acdd82fc594b978f12ac3602d6374a7edb9d86fd2c2"}, + {file = "orjson-3.11.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b13974dc8ac6ba22feaa867fc19135a3e01a134b4f7c9c28162fed4d615008a"}, + {file = "orjson-3.11.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f83abab5bacb76d9c821fd5c07728ff224ed0e52d7a71b7b3de822f3df04e15c"}, + {file = "orjson-3.11.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e6fbaf48a744b94091a56c62897b27c31ee2da93d826aa5b207131a1e13d4064"}, + {file = "orjson-3.11.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc779b4f4bba2847d0d2940081a7b6f7b5877e05408ffbb74fa1faf4a136c424"}, + {file = "orjson-3.11.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd4b909ce4c50faa2192da6bb684d9848d4510b736b0611b6ab4020ea6fd2d23"}, + {file = "orjson-3.11.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:524b765ad888dc5518bbce12c77c2e83dee1ed6b0992c1790cc5fb49bb4b6667"}, + {file = "orjson-3.11.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:84fd82870b97ae3cdcea9d8746e592b6d40e1e4d4527835fc520c588d2ded04f"}, + {file = "orjson-3.11.3-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:fbecb9709111be913ae6879b07bafd4b0785b44c1eb5cac8ac76da048b3885a1"}, + {file = "orjson-3.11.3-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9dba358d55aee552bd868de348f4736ca5a4086d9a62e2bfbbeeb5629fe8b0cc"}, + {file = "orjson-3.11.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:eabcf2e84f1d7105f84580e03012270c7e97ecb1fb1618bda395061b2a84a049"}, + {file = "orjson-3.11.3-cp312-cp312-win32.whl", hash = "sha256:3782d2c60b8116772aea8d9b7905221437fdf53e7277282e8d8b07c220f96cca"}, + {file = "orjson-3.11.3-cp312-cp312-win_amd64.whl", hash = "sha256:79b44319268af2eaa3e315b92298de9a0067ade6e6003ddaef72f8e0bedb94f1"}, + {file = "orjson-3.11.3-cp312-cp312-win_arm64.whl", hash = "sha256:0e92a4e83341ef79d835ca21b8bd13e27c859e4e9e4d7b63defc6e58462a3710"}, + {file = "orjson-3.11.3-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:af40c6612fd2a4b00de648aa26d18186cd1322330bd3a3cc52f87c699e995810"}, + {file = "orjson-3.11.3-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:9f1587f26c235894c09e8b5b7636a38091a9e6e7fe4531937534749c04face43"}, + {file = "orjson-3.11.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61dcdad16da5bb486d7227a37a2e789c429397793a6955227cedbd7252eb5a27"}, + {file = "orjson-3.11.3-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:11c6d71478e2cbea0a709e8a06365fa63da81da6498a53e4c4f065881d21ae8f"}, + {file = "orjson-3.11.3-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff94112e0098470b665cb0ed06efb187154b63649403b8d5e9aedeb482b4548c"}, + {file = "orjson-3.11.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae8b756575aaa2a855a75192f356bbda11a89169830e1439cfb1a3e1a6dde7be"}, + {file = "orjson-3.11.3-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c9416cc19a349c167ef76135b2fe40d03cea93680428efee8771f3e9fb66079d"}, + {file = "orjson-3.11.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b822caf5b9752bc6f246eb08124c3d12bf2175b66ab74bac2ef3bbf9221ce1b2"}, + {file = "orjson-3.11.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:414f71e3bdd5573893bf5ecdf35c32b213ed20aa15536fe2f588f946c318824f"}, + {file = "orjson-3.11.3-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:828e3149ad8815dc14468f36ab2a4b819237c155ee1370341b91ea4c8672d2ee"}, + {file = "orjson-3.11.3-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ac9e05f25627ffc714c21f8dfe3a579445a5c392a9c8ae7ba1d0e9fb5333f56e"}, + {file = "orjson-3.11.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e44fbe4000bd321d9f3b648ae46e0196d21577cf66ae684a96ff90b1f7c93633"}, + {file = "orjson-3.11.3-cp313-cp313-win32.whl", hash = "sha256:2039b7847ba3eec1f5886e75e6763a16e18c68a63efc4b029ddf994821e2e66b"}, + {file = "orjson-3.11.3-cp313-cp313-win_amd64.whl", hash = "sha256:29be5ac4164aa8bdcba5fa0700a3c9c316b411d8ed9d39ef8a882541bd452fae"}, + {file = "orjson-3.11.3-cp313-cp313-win_arm64.whl", hash = "sha256:18bd1435cb1f2857ceb59cfb7de6f92593ef7b831ccd1b9bfb28ca530e539dce"}, + {file = "orjson-3.11.3-cp314-cp314-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:cf4b81227ec86935568c7edd78352a92e97af8da7bd70bdfdaa0d2e0011a1ab4"}, + {file = "orjson-3.11.3-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:bc8bc85b81b6ac9fc4dae393a8c159b817f4c2c9dee5d12b773bddb3b95fc07e"}, + {file = "orjson-3.11.3-cp314-cp314-manylinux_2_34_aarch64.whl", hash = "sha256:88dcfc514cfd1b0de038443c7b3e6a9797ffb1b3674ef1fd14f701a13397f82d"}, + {file = "orjson-3.11.3-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:d61cd543d69715d5fc0a690c7c6f8dcc307bc23abef9738957981885f5f38229"}, + {file = "orjson-3.11.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:2b7b153ed90ababadbef5c3eb39549f9476890d339cf47af563aea7e07db2451"}, + {file = "orjson-3.11.3-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:7909ae2460f5f494fecbcd10613beafe40381fd0316e35d6acb5f3a05bfda167"}, + {file = "orjson-3.11.3-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:2030c01cbf77bc67bee7eef1e7e31ecf28649353987775e3583062c752da0077"}, + {file = "orjson-3.11.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a0169ebd1cbd94b26c7a7ad282cf5c2744fce054133f959e02eb5265deae1872"}, + {file = "orjson-3.11.3-cp314-cp314-win32.whl", hash = "sha256:0c6d7328c200c349e3a4c6d8c83e0a5ad029bdc2d417f234152bf34842d0fc8d"}, + {file = "orjson-3.11.3-cp314-cp314-win_amd64.whl", hash = "sha256:317bbe2c069bbc757b1a2e4105b64aacd3bc78279b66a6b9e51e846e4809f804"}, + {file = "orjson-3.11.3-cp314-cp314-win_arm64.whl", hash = "sha256:e8f6a7a27d7b7bec81bd5924163e9af03d49bbb63013f107b48eb5d16db711bc"}, + {file = "orjson-3.11.3-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:56afaf1e9b02302ba636151cfc49929c1bb66b98794291afd0e5f20fecaf757c"}, + {file = "orjson-3.11.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:913f629adef31d2d350d41c051ce7e33cf0fd06a5d1cb28d49b1899b23b903aa"}, + {file = "orjson-3.11.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e0a23b41f8f98b4e61150a03f83e4f0d566880fe53519d445a962929a4d21045"}, + {file = "orjson-3.11.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3d721fee37380a44f9d9ce6c701b3960239f4fb3d5ceea7f31cbd43882edaa2f"}, + {file = "orjson-3.11.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:73b92a5b69f31b1a58c0c7e31080aeaec49c6e01b9522e71ff38d08f15aa56de"}, + {file = "orjson-3.11.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2489b241c19582b3f1430cc5d732caefc1aaf378d97e7fb95b9e56bed11725f"}, + {file = "orjson-3.11.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5189a5dab8b0312eadaf9d58d3049b6a52c454256493a557405e77a3d67ab7f"}, + {file = "orjson-3.11.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:9d8787bdfbb65a85ea76d0e96a3b1bed7bf0fbcb16d40408dc1172ad784a49d2"}, + {file = "orjson-3.11.3-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:8e531abd745f51f8035e207e75e049553a86823d189a51809c078412cefb399a"}, + {file = "orjson-3.11.3-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:8ab962931015f170b97a3dd7bd933399c1bae8ed8ad0fb2a7151a5654b6941c7"}, + {file = "orjson-3.11.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:124d5ba71fee9c9902c4a7baa9425e663f7f0aecf73d31d54fe3dd357d62c1a7"}, + {file = "orjson-3.11.3-cp39-cp39-win32.whl", hash = "sha256:22724d80ee5a815a44fc76274bb7ba2e7464f5564aacb6ecddaa9970a83e3225"}, + {file = "orjson-3.11.3-cp39-cp39-win_amd64.whl", hash = "sha256:215c595c792a87d4407cb72dd5e0f6ee8e694ceeb7f9102b533c5a9bf2a916bb"}, + {file = "orjson-3.11.3.tar.gz", hash = "sha256:1c0603b1d2ffcd43a411d64797a19556ef76958aef1c182f22dc30860152a98a"}, +] + +[[package]] +name = "overrides" +version = "7.7.0" +description = "A decorator to automatically detect mismatch when overriding a method." +optional = false +python-versions = ">=3.6" +groups = ["main"] +markers = "python_version == \"3.11\"" +files = [ + {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"}, + {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"}, +] + +[[package]] +name = "packaging" +version = "24.2" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"}, + {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"}, +] + +[[package]] +name = "pandas" +version = "2.3.2" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pandas-2.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:52bc29a946304c360561974c6542d1dd628ddafa69134a7131fdfd6a5d7a1a35"}, + {file = "pandas-2.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:220cc5c35ffaa764dd5bb17cf42df283b5cb7fdf49e10a7b053a06c9cb48ee2b"}, + {file = "pandas-2.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42c05e15111221384019897df20c6fe893b2f697d03c811ee67ec9e0bb5a3424"}, + {file = "pandas-2.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc03acc273c5515ab69f898df99d9d4f12c4d70dbfc24c3acc6203751d0804cf"}, + {file = "pandas-2.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d25c20a03e8870f6339bcf67281b946bd20b86f1a544ebbebb87e66a8d642cba"}, + {file = "pandas-2.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:21bb612d148bb5860b7eb2c10faacf1a810799245afd342cf297d7551513fbb6"}, + {file = "pandas-2.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:b62d586eb25cb8cb70a5746a378fc3194cb7f11ea77170d59f889f5dfe3cec7a"}, + {file = "pandas-2.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1333e9c299adcbb68ee89a9bb568fc3f20f9cbb419f1dd5225071e6cddb2a743"}, + {file = "pandas-2.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:76972bcbd7de8e91ad5f0ca884a9f2c477a2125354af624e022c49e5bd0dfff4"}, + {file = "pandas-2.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b98bdd7c456a05eef7cd21fd6b29e3ca243591fe531c62be94a2cc987efb5ac2"}, + {file = "pandas-2.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d81573b3f7db40d020983f78721e9bfc425f411e616ef019a10ebf597aedb2e"}, + {file = "pandas-2.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e190b738675a73b581736cc8ec71ae113d6c3768d0bd18bffa5b9a0927b0b6ea"}, + {file = "pandas-2.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c253828cb08f47488d60f43c5fc95114c771bbfff085da54bfc79cb4f9e3a372"}, + {file = "pandas-2.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:9467697b8083f9667b212633ad6aa4ab32436dcbaf4cd57325debb0ddef2012f"}, + {file = "pandas-2.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3fbb977f802156e7a3f829e9d1d5398f6192375a3e2d1a9ee0803e35fe70a2b9"}, + {file = "pandas-2.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1b9b52693123dd234b7c985c68b709b0b009f4521000d0525f2b95c22f15944b"}, + {file = "pandas-2.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bd281310d4f412733f319a5bc552f86d62cddc5f51d2e392c8787335c994175"}, + {file = "pandas-2.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96d31a6b4354e3b9b8a2c848af75d31da390657e3ac6f30c05c82068b9ed79b9"}, + {file = "pandas-2.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:df4df0b9d02bb873a106971bb85d448378ef14b86ba96f035f50bbd3688456b4"}, + {file = "pandas-2.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:213a5adf93d020b74327cb2c1b842884dbdd37f895f42dcc2f09d451d949f811"}, + {file = "pandas-2.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c13b81a9347eb8c7548f53fd9a4f08d4dfe996836543f805c987bafa03317ae"}, + {file = "pandas-2.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0c6ecbac99a354a051ef21c5307601093cb9e0f4b1855984a084bfec9302699e"}, + {file = "pandas-2.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c6f048aa0fd080d6a06cc7e7537c09b53be6642d330ac6f54a600c3ace857ee9"}, + {file = "pandas-2.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0064187b80a5be6f2f9c9d6bdde29372468751dfa89f4211a3c5871854cfbf7a"}, + {file = "pandas-2.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4ac8c320bded4718b298281339c1a50fb00a6ba78cb2a63521c39bec95b0209b"}, + {file = "pandas-2.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:114c2fe4f4328cf98ce5716d1532f3ab79c5919f95a9cfee81d9140064a2e4d6"}, + {file = "pandas-2.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:48fa91c4dfb3b2b9bfdb5c24cd3567575f4e13f9636810462ffed8925352be5a"}, + {file = "pandas-2.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:12d039facec710f7ba305786837d0225a3444af7bbd9c15c32ca2d40d157ed8b"}, + {file = "pandas-2.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:c624b615ce97864eb588779ed4046186f967374185c047070545253a52ab2d57"}, + {file = "pandas-2.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:0cee69d583b9b128823d9514171cabb6861e09409af805b54459bd0c821a35c2"}, + {file = "pandas-2.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2319656ed81124982900b4c37f0e0c58c015af9a7bbc62342ba5ad07ace82ba9"}, + {file = "pandas-2.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b37205ad6f00d52f16b6d09f406434ba928c1a1966e2771006a9033c736d30d2"}, + {file = "pandas-2.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:837248b4fc3a9b83b9c6214699a13f069dc13510a6a6d7f9ba33145d2841a012"}, + {file = "pandas-2.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d2c3554bd31b731cd6490d94a28f3abb8dd770634a9e06eb6d2911b9827db370"}, + {file = "pandas-2.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:88080a0ff8a55eac9c84e3ff3c7665b3b5476c6fbc484775ca1910ce1c3e0b87"}, + {file = "pandas-2.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d4a558c7620340a0931828d8065688b3cc5b4c8eb674bcaf33d18ff4a6870b4a"}, + {file = "pandas-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45178cf09d1858a1509dc73ec261bf5b25a625a389b65be2e47b559905f0ab6a"}, + {file = "pandas-2.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77cefe00e1b210f9c76c697fedd8fdb8d3dd86563e9c8adc9fa72b90f5e9e4c2"}, + {file = "pandas-2.3.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:13bd629c653856f00c53dc495191baa59bcafbbf54860a46ecc50d3a88421a96"}, + {file = "pandas-2.3.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:36d627906fd44b5fd63c943264e11e96e923f8de77d6016dc2f667b9ad193438"}, + {file = "pandas-2.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:a9d7ec92d71a420185dec44909c32e9a362248c4ae2238234b76d5be37f208cc"}, + {file = "pandas-2.3.2.tar.gz", hash = "sha256:ab7b58f8f82706890924ccdfb5f48002b83d2b5a3845976a9fb705d36c34dcdb"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.23.2", markers = "python_version == \"3.11\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, +] +python-dateutil = ">=2.8.2" +pytz = ">=2020.1" +tzdata = ">=2022.7" + +[package.extras] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] +aws = ["s3fs (>=2022.11.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] +compression = ["zstandard (>=0.19.0)"] +computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] +feather = ["pyarrow (>=10.0.1)"] +fss = ["fsspec (>=2022.11.0)"] +gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] +hdf5 = ["tables (>=3.8.0)"] +html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] +mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=10.0.1)"] +performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] +plot = ["matplotlib (>=3.6.3)"] +postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] +pyarrow = ["pyarrow (>=10.0.1)"] +spss = ["pyreadstat (>=1.2.0)"] +sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.9.2)"] + +[[package]] +name = "pandocfilters" +version = "1.5.1" +description = "Utilities for writing pandoc filters in python" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["main"] +files = [ + {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, + {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, +] + +[[package]] +name = "parso" +version = "0.8.5" +description = "A Python Parser" +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "parso-0.8.5-py2.py3-none-any.whl", hash = "sha256:646204b5ee239c396d040b90f9e272e9a8017c630092bf59980beb62fd033887"}, + {file = "parso-0.8.5.tar.gz", hash = "sha256:034d7354a9a018bdce352f48b2a8a450f05e9d6ee85db84764e9b6bd96dafe5a"}, +] + +[package.extras] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["docopt", "pytest"] + +[[package]] +name = "pathspec" +version = "0.12.1" +description = "Utility library for gitignore style pattern matching of file paths." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"}, + {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"}, +] + +[[package]] +name = "peft" +version = "0.17.1" +description = "Parameter-Efficient Fine-Tuning (PEFT)" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "peft-0.17.1-py3-none-any.whl", hash = "sha256:3d129d64def3d74779c32a080d2567e5f7b674e77d546e3585138216d903f99e"}, + {file = "peft-0.17.1.tar.gz", hash = "sha256:e6002b42517976c290b3b8bbb9829a33dd5d470676b2dec7cb4df8501b77eb9f"}, +] + +[package.dependencies] +accelerate = ">=0.21.0" +huggingface_hub = ">=0.25.0" +numpy = ">=1.17" +packaging = ">=20.0" +psutil = "*" +pyyaml = "*" +safetensors = "*" +torch = ">=1.13.0" +tqdm = "*" +transformers = "*" + +[package.extras] +dev = ["black", "black", "hf-doc-builder", "hf-doc-builder", "ruff (>=0.9.2,<0.10.0)"] +docs-specific = ["black", "hf-doc-builder"] +quality = ["black", "hf-doc-builder", "ruff (>=0.9.2,<0.10.0)"] +test = ["black", "black", "datasets", "diffusers", "hf-doc-builder", "hf-doc-builder", "parameterized", "protobuf", "pytest", "pytest-cov", "pytest-xdist", "ruff (>=0.9.2,<0.10.0)", "scipy", "sentencepiece"] + +[[package]] +name = "pexpect" +version = "4.9.0" +description = "Pexpect allows easy control of interactive console applications." +optional = false +python-versions = "*" +groups = ["main"] +markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\"" +files = [ + {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, + {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, +] + +[package.dependencies] +ptyprocess = ">=0.5" + +[[package]] +name = "pillow" +version = "11.2.1" +description = "Python Imaging Library (Fork)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pillow-11.2.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:d57a75d53922fc20c165016a20d9c44f73305e67c351bbc60d1adaf662e74047"}, + {file = "pillow-11.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:127bf6ac4a5b58b3d32fc8289656f77f80567d65660bc46f72c0d77e6600cc95"}, + {file = "pillow-11.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4ba4be812c7a40280629e55ae0b14a0aafa150dd6451297562e1764808bbe61"}, + {file = "pillow-11.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8bd62331e5032bc396a93609982a9ab6b411c05078a52f5fe3cc59234a3abd1"}, + {file = "pillow-11.2.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:562d11134c97a62fe3af29581f083033179f7ff435f78392565a1ad2d1c2c45c"}, + {file = "pillow-11.2.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:c97209e85b5be259994eb5b69ff50c5d20cca0f458ef9abd835e262d9d88b39d"}, + {file = "pillow-11.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0c3e6d0f59171dfa2e25d7116217543310908dfa2770aa64b8f87605f8cacc97"}, + {file = "pillow-11.2.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cc1c3bc53befb6096b84165956e886b1729634a799e9d6329a0c512ab651e579"}, + {file = "pillow-11.2.1-cp310-cp310-win32.whl", hash = "sha256:312c77b7f07ab2139924d2639860e084ec2a13e72af54d4f08ac843a5fc9c79d"}, + {file = "pillow-11.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:9bc7ae48b8057a611e5fe9f853baa88093b9a76303937449397899385da06fad"}, + {file = "pillow-11.2.1-cp310-cp310-win_arm64.whl", hash = "sha256:2728567e249cdd939f6cc3d1f049595c66e4187f3c34078cbc0a7d21c47482d2"}, + {file = "pillow-11.2.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:35ca289f712ccfc699508c4658a1d14652e8033e9b69839edf83cbdd0ba39e70"}, + {file = "pillow-11.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e0409af9f829f87a2dfb7e259f78f317a5351f2045158be321fd135973fff7bf"}, + {file = "pillow-11.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4e5c5edee874dce4f653dbe59db7c73a600119fbea8d31f53423586ee2aafd7"}, + {file = "pillow-11.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b93a07e76d13bff9444f1a029e0af2964e654bfc2e2c2d46bfd080df5ad5f3d8"}, + {file = "pillow-11.2.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:e6def7eed9e7fa90fde255afaf08060dc4b343bbe524a8f69bdd2a2f0018f600"}, + {file = "pillow-11.2.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:8f4f3724c068be008c08257207210c138d5f3731af6c155a81c2b09a9eb3a788"}, + {file = "pillow-11.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a0a6709b47019dff32e678bc12c63008311b82b9327613f534e496dacaefb71e"}, + {file = "pillow-11.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f6b0c664ccb879109ee3ca702a9272d877f4fcd21e5eb63c26422fd6e415365e"}, + {file = "pillow-11.2.1-cp311-cp311-win32.whl", hash = "sha256:cc5d875d56e49f112b6def6813c4e3d3036d269c008bf8aef72cd08d20ca6df6"}, + {file = "pillow-11.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:0f5c7eda47bf8e3c8a283762cab94e496ba977a420868cb819159980b6709193"}, + {file = "pillow-11.2.1-cp311-cp311-win_arm64.whl", hash = "sha256:4d375eb838755f2528ac8cbc926c3e31cc49ca4ad0cf79cff48b20e30634a4a7"}, + {file = "pillow-11.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:78afba22027b4accef10dbd5eed84425930ba41b3ea0a86fa8d20baaf19d807f"}, + {file = "pillow-11.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:78092232a4ab376a35d68c4e6d5e00dfd73454bd12b230420025fbe178ee3b0b"}, + {file = "pillow-11.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25a5f306095c6780c52e6bbb6109624b95c5b18e40aab1c3041da3e9e0cd3e2d"}, + {file = "pillow-11.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c7b29dbd4281923a2bfe562acb734cee96bbb129e96e6972d315ed9f232bef4"}, + {file = "pillow-11.2.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:3e645b020f3209a0181a418bffe7b4a93171eef6c4ef6cc20980b30bebf17b7d"}, + {file = "pillow-11.2.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b2dbea1012ccb784a65349f57bbc93730b96e85b42e9bf7b01ef40443db720b4"}, + {file = "pillow-11.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:da3104c57bbd72948d75f6a9389e6727d2ab6333c3617f0a89d72d4940aa0443"}, + {file = "pillow-11.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:598174aef4589af795f66f9caab87ba4ff860ce08cd5bb447c6fc553ffee603c"}, + {file = "pillow-11.2.1-cp312-cp312-win32.whl", hash = "sha256:1d535df14716e7f8776b9e7fee118576d65572b4aad3ed639be9e4fa88a1cad3"}, + {file = "pillow-11.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:14e33b28bf17c7a38eede290f77db7c664e4eb01f7869e37fa98a5aa95978941"}, + {file = "pillow-11.2.1-cp312-cp312-win_arm64.whl", hash = "sha256:21e1470ac9e5739ff880c211fc3af01e3ae505859392bf65458c224d0bf283eb"}, + {file = "pillow-11.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:fdec757fea0b793056419bca3e9932eb2b0ceec90ef4813ea4c1e072c389eb28"}, + {file = "pillow-11.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:b0e130705d568e2f43a17bcbe74d90958e8a16263868a12c3e0d9c8162690830"}, + {file = "pillow-11.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bdb5e09068332578214cadd9c05e3d64d99e0e87591be22a324bdbc18925be0"}, + {file = "pillow-11.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d189ba1bebfbc0c0e529159631ec72bb9e9bc041f01ec6d3233d6d82eb823bc1"}, + {file = "pillow-11.2.1-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:191955c55d8a712fab8934a42bfefbf99dd0b5875078240943f913bb66d46d9f"}, + {file = "pillow-11.2.1-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:ad275964d52e2243430472fc5d2c2334b4fc3ff9c16cb0a19254e25efa03a155"}, + {file = "pillow-11.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:750f96efe0597382660d8b53e90dd1dd44568a8edb51cb7f9d5d918b80d4de14"}, + {file = "pillow-11.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fe15238d3798788d00716637b3d4e7bb6bde18b26e5d08335a96e88564a36b6b"}, + {file = "pillow-11.2.1-cp313-cp313-win32.whl", hash = "sha256:3fe735ced9a607fee4f481423a9c36701a39719252a9bb251679635f99d0f7d2"}, + {file = "pillow-11.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:74ee3d7ecb3f3c05459ba95eed5efa28d6092d751ce9bf20e3e253a4e497e691"}, + {file = "pillow-11.2.1-cp313-cp313-win_arm64.whl", hash = "sha256:5119225c622403afb4b44bad4c1ca6c1f98eed79db8d3bc6e4e160fc6339d66c"}, + {file = "pillow-11.2.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:8ce2e8411c7aaef53e6bb29fe98f28cd4fbd9a1d9be2eeea434331aac0536b22"}, + {file = "pillow-11.2.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:9ee66787e095127116d91dea2143db65c7bb1e232f617aa5957c0d9d2a3f23a7"}, + {file = "pillow-11.2.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9622e3b6c1d8b551b6e6f21873bdcc55762b4b2126633014cea1803368a9aa16"}, + {file = "pillow-11.2.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63b5dff3a68f371ea06025a1a6966c9a1e1ee452fc8020c2cd0ea41b83e9037b"}, + {file = "pillow-11.2.1-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:31df6e2d3d8fc99f993fd253e97fae451a8db2e7207acf97859732273e108406"}, + {file = "pillow-11.2.1-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:062b7a42d672c45a70fa1f8b43d1d38ff76b63421cbbe7f88146b39e8a558d91"}, + {file = "pillow-11.2.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4eb92eca2711ef8be42fd3f67533765d9fd043b8c80db204f16c8ea62ee1a751"}, + {file = "pillow-11.2.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f91ebf30830a48c825590aede79376cb40f110b387c17ee9bd59932c961044f9"}, + {file = "pillow-11.2.1-cp313-cp313t-win32.whl", hash = "sha256:e0b55f27f584ed623221cfe995c912c61606be8513bfa0e07d2c674b4516d9dd"}, + {file = "pillow-11.2.1-cp313-cp313t-win_amd64.whl", hash = "sha256:36d6b82164c39ce5482f649b437382c0fb2395eabc1e2b1702a6deb8ad647d6e"}, + {file = "pillow-11.2.1-cp313-cp313t-win_arm64.whl", hash = "sha256:225c832a13326e34f212d2072982bb1adb210e0cc0b153e688743018c94a2681"}, + {file = "pillow-11.2.1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:7491cf8a79b8eb867d419648fff2f83cb0b3891c8b36da92cc7f1931d46108c8"}, + {file = "pillow-11.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8b02d8f9cb83c52578a0b4beadba92e37d83a4ef11570a8688bbf43f4ca50909"}, + {file = "pillow-11.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:014ca0050c85003620526b0ac1ac53f56fc93af128f7546623cc8e31875ab928"}, + {file = "pillow-11.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3692b68c87096ac6308296d96354eddd25f98740c9d2ab54e1549d6c8aea9d79"}, + {file = "pillow-11.2.1-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:f781dcb0bc9929adc77bad571b8621ecb1e4cdef86e940fe2e5b5ee24fd33b35"}, + {file = "pillow-11.2.1-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:2b490402c96f907a166615e9a5afacf2519e28295f157ec3a2bb9bd57de638cb"}, + {file = "pillow-11.2.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dd6b20b93b3ccc9c1b597999209e4bc5cf2853f9ee66e3fc9a400a78733ffc9a"}, + {file = "pillow-11.2.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:4b835d89c08a6c2ee7781b8dd0a30209a8012b5f09c0a665b65b0eb3560b6f36"}, + {file = "pillow-11.2.1-cp39-cp39-win32.whl", hash = "sha256:b10428b3416d4f9c61f94b494681280be7686bda15898a3a9e08eb66a6d92d67"}, + {file = "pillow-11.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:6ebce70c3f486acf7591a3d73431fa504a4e18a9b97ff27f5f47b7368e4b9dd1"}, + {file = "pillow-11.2.1-cp39-cp39-win_arm64.whl", hash = "sha256:c27476257b2fdcd7872d54cfd119b3a9ce4610fb85c8e32b70b42e3680a29a1e"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:9b7b0d4fd2635f54ad82785d56bc0d94f147096493a79985d0ab57aedd563156"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:aa442755e31c64037aa7c1cb186e0b369f8416c567381852c63444dd666fb772"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0d3348c95b766f54b76116d53d4cb171b52992a1027e7ca50c81b43b9d9e363"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85d27ea4c889342f7e35f6d56e7e1cb345632ad592e8c51b693d7b7556043ce0"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:bf2c33d6791c598142f00c9c4c7d47f6476731c31081331664eb26d6ab583e01"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e616e7154c37669fc1dfc14584f11e284e05d1c650e1c0f972f281c4ccc53193"}, + {file = "pillow-11.2.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:39ad2e0f424394e3aebc40168845fee52df1394a4673a6ee512d840d14ab3013"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:80f1df8dbe9572b4b7abdfa17eb5d78dd620b1d55d9e25f834efdbee872d3aed"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ea926cfbc3957090becbcbbb65ad177161a2ff2ad578b5a6ec9bb1e1cd78753c"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:738db0e0941ca0376804d4de6a782c005245264edaa253ffce24e5a15cbdc7bd"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db98ab6565c69082ec9b0d4e40dd9f6181dab0dd236d26f7a50b8b9bfbd5076"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:036e53f4170e270ddb8797d4c590e6dd14d28e15c7da375c18978045f7e6c37b"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:14f73f7c291279bd65fda51ee87affd7c1e097709f7fdd0188957a16c264601f"}, + {file = "pillow-11.2.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:208653868d5c9ecc2b327f9b9ef34e0e42a4cdd172c2988fd81d62d2bc9bc044"}, + {file = "pillow-11.2.1.tar.gz", hash = "sha256:a64dd61998416367b7ef979b73d3a85853ba9bec4c2925f74e588879a58716b6"}, +] + +[package.extras] +docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] +fpx = ["olefile"] +mic = ["olefile"] +test-arrow = ["pyarrow"] +tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"] +typing = ["typing-extensions ; python_version < \"3.10\""] +xmp = ["defusedxml"] + +[[package]] +name = "platformdirs" +version = "4.4.0" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "platformdirs-4.4.0-py3-none-any.whl", hash = "sha256:abd01743f24e5287cd7a5db3752faf1a2d65353f38ec26d98e25a6db65958c85"}, + {file = "platformdirs-4.4.0.tar.gz", hash = "sha256:ca753cf4d81dc309bc67b0ea38fd15dc97bc30ce419a7f58d13eb3bf14c4febf"}, +] + +[package.extras] +docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"] +type = ["mypy (>=1.14.1)"] + +[[package]] +name = "pooch" +version = "1.8.2" +description = "A friend to fetch your data files" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "pooch-1.8.2-py3-none-any.whl", hash = "sha256:3529a57096f7198778a5ceefd5ac3ef0e4d06a6ddaf9fc2d609b806f25302c47"}, + {file = "pooch-1.8.2.tar.gz", hash = "sha256:76561f0de68a01da4df6af38e9955c4c9d1a5c90da73f7e40276a5728ec83d10"}, +] + +[package.dependencies] +packaging = ">=20.0" +platformdirs = ">=2.5.0" +requests = ">=2.19.0" + +[package.extras] +progress = ["tqdm (>=4.41.0,<5.0.0)"] +sftp = ["paramiko (>=2.7.0)"] +xxhash = ["xxhash (>=1.4.3)"] + +[[package]] +name = "pre-commit" +version = "4.3.0" +description = "A framework for managing and maintaining multi-language pre-commit hooks." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pre_commit-4.3.0-py2.py3-none-any.whl", hash = "sha256:2b0747ad7e6e967169136edffee14c16e148a778a54e4f967921aa1ebf2308d8"}, + {file = "pre_commit-4.3.0.tar.gz", hash = "sha256:499fe450cc9d42e9d58e606262795ecb64dd05438943c62b66f6a8673da30b16"}, +] + +[package.dependencies] +cfgv = ">=2.0.0" +identify = ">=1.0.0" +nodeenv = ">=0.11.1" +pyyaml = ">=5.1" +virtualenv = ">=20.10.0" + +[[package]] +name = "prometheus-client" +version = "0.22.1" +description = "Python client for the Prometheus monitoring system." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "prometheus_client-0.22.1-py3-none-any.whl", hash = "sha256:cca895342e308174341b2cbf99a56bef291fbc0ef7b9e5412a0f26d653ba7094"}, + {file = "prometheus_client-0.22.1.tar.gz", hash = "sha256:190f1331e783cf21eb60bca559354e0a4d4378facecf78f5428c39b675d20d28"}, +] + +[package.extras] +twisted = ["twisted"] + +[[package]] +name = "prompt-toolkit" +version = "3.0.52" +description = "Library for building powerful interactive command lines in Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955"}, + {file = "prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855"}, +] + +[package.dependencies] +wcwidth = "*" + +[[package]] +name = "propcache" +version = "0.3.2" +description = "Accelerated property cache" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "propcache-0.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:22d9962a358aedbb7a2e36187ff273adeaab9743373a272976d2e348d08c7770"}, + {file = "propcache-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0d0fda578d1dc3f77b6b5a5dce3b9ad69a8250a891760a548df850a5e8da87f3"}, + {file = "propcache-0.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3def3da3ac3ce41562d85db655d18ebac740cb3fa4367f11a52b3da9d03a5cc3"}, + {file = "propcache-0.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9bec58347a5a6cebf239daba9bda37dffec5b8d2ce004d9fe4edef3d2815137e"}, + {file = "propcache-0.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:55ffda449a507e9fbd4aca1a7d9aa6753b07d6166140e5a18d2ac9bc49eac220"}, + {file = "propcache-0.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64a67fb39229a8a8491dd42f864e5e263155e729c2e7ff723d6e25f596b1e8cb"}, + {file = "propcache-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9da1cf97b92b51253d5b68cf5a2b9e0dafca095e36b7f2da335e27dc6172a614"}, + {file = "propcache-0.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5f559e127134b07425134b4065be45b166183fdcb433cb6c24c8e4149056ad50"}, + {file = "propcache-0.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:aff2e4e06435d61f11a428360a932138d0ec288b0a31dd9bd78d200bd4a2b339"}, + {file = "propcache-0.3.2-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:4927842833830942a5d0a56e6f4839bc484785b8e1ce8d287359794818633ba0"}, + {file = "propcache-0.3.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:6107ddd08b02654a30fb8ad7a132021759d750a82578b94cd55ee2772b6ebea2"}, + {file = "propcache-0.3.2-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:70bd8b9cd6b519e12859c99f3fc9a93f375ebd22a50296c3a295028bea73b9e7"}, + {file = "propcache-0.3.2-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:2183111651d710d3097338dd1893fcf09c9f54e27ff1a8795495a16a469cc90b"}, + {file = "propcache-0.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:fb075ad271405dcad8e2a7ffc9a750a3bf70e533bd86e89f0603e607b93aa64c"}, + {file = "propcache-0.3.2-cp310-cp310-win32.whl", hash = "sha256:404d70768080d3d3bdb41d0771037da19d8340d50b08e104ca0e7f9ce55fce70"}, + {file = "propcache-0.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:7435d766f978b4ede777002e6b3b6641dd229cd1da8d3d3106a45770365f9ad9"}, + {file = "propcache-0.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0b8d2f607bd8f80ddc04088bc2a037fdd17884a6fcadc47a96e334d72f3717be"}, + {file = "propcache-0.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:06766d8f34733416e2e34f46fea488ad5d60726bb9481d3cddf89a6fa2d9603f"}, + {file = "propcache-0.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2dc1f4a1df4fecf4e6f68013575ff4af84ef6f478fe5344317a65d38a8e6dc9"}, + {file = "propcache-0.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be29c4f4810c5789cf10ddf6af80b041c724e629fa51e308a7a0fb19ed1ef7bf"}, + {file = "propcache-0.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59d61f6970ecbd8ff2e9360304d5c8876a6abd4530cb752c06586849ac8a9dc9"}, + {file = "propcache-0.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:62180e0b8dbb6b004baec00a7983e4cc52f5ada9cd11f48c3528d8cfa7b96a66"}, + {file = "propcache-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c144ca294a204c470f18cf4c9d78887810d04a3e2fbb30eea903575a779159df"}, + {file = "propcache-0.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c5c2a784234c28854878d68978265617aa6dc0780e53d44b4d67f3651a17a9a2"}, + {file = "propcache-0.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:5745bc7acdafa978ca1642891b82c19238eadc78ba2aaa293c6863b304e552d7"}, + {file = "propcache-0.3.2-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:c0075bf773d66fa8c9d41f66cc132ecc75e5bb9dd7cce3cfd14adc5ca184cb95"}, + {file = "propcache-0.3.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:5f57aa0847730daceff0497f417c9de353c575d8da3579162cc74ac294c5369e"}, + {file = "propcache-0.3.2-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:eef914c014bf72d18efb55619447e0aecd5fb7c2e3fa7441e2e5d6099bddff7e"}, + {file = "propcache-0.3.2-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2a4092e8549031e82facf3decdbc0883755d5bbcc62d3aea9d9e185549936dcf"}, + {file = "propcache-0.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:85871b050f174bc0bfb437efbdb68aaf860611953ed12418e4361bc9c392749e"}, + {file = "propcache-0.3.2-cp311-cp311-win32.whl", hash = "sha256:36c8d9b673ec57900c3554264e630d45980fd302458e4ac801802a7fd2ef7897"}, + {file = "propcache-0.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:e53af8cb6a781b02d2ea079b5b853ba9430fcbe18a8e3ce647d5982a3ff69f39"}, + {file = "propcache-0.3.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:8de106b6c84506b31c27168582cd3cb3000a6412c16df14a8628e5871ff83c10"}, + {file = "propcache-0.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:28710b0d3975117239c76600ea351934ac7b5ff56e60953474342608dbbb6154"}, + {file = "propcache-0.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce26862344bdf836650ed2487c3d724b00fbfec4233a1013f597b78c1cb73615"}, + {file = "propcache-0.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bca54bd347a253af2cf4544bbec232ab982f4868de0dd684246b67a51bc6b1db"}, + {file = "propcache-0.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:55780d5e9a2ddc59711d727226bb1ba83a22dd32f64ee15594b9392b1f544eb1"}, + {file = "propcache-0.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:035e631be25d6975ed87ab23153db6a73426a48db688070d925aa27e996fe93c"}, + {file = "propcache-0.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ee6f22b6eaa39297c751d0e80c0d3a454f112f5c6481214fcf4c092074cecd67"}, + {file = "propcache-0.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ca3aee1aa955438c4dba34fc20a9f390e4c79967257d830f137bd5a8a32ed3b"}, + {file = "propcache-0.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7a4f30862869fa2b68380d677cc1c5fcf1e0f2b9ea0cf665812895c75d0ca3b8"}, + {file = "propcache-0.3.2-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:b77ec3c257d7816d9f3700013639db7491a434644c906a2578a11daf13176251"}, + {file = "propcache-0.3.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:cab90ac9d3f14b2d5050928483d3d3b8fb6b4018893fc75710e6aa361ecb2474"}, + {file = "propcache-0.3.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:0b504d29f3c47cf6b9e936c1852246c83d450e8e063d50562115a6be6d3a2535"}, + {file = "propcache-0.3.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:ce2ac2675a6aa41ddb2a0c9cbff53780a617ac3d43e620f8fd77ba1c84dcfc06"}, + {file = "propcache-0.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:62b4239611205294cc433845b914131b2a1f03500ff3c1ed093ed216b82621e1"}, + {file = "propcache-0.3.2-cp312-cp312-win32.whl", hash = "sha256:df4a81b9b53449ebc90cc4deefb052c1dd934ba85012aa912c7ea7b7e38b60c1"}, + {file = "propcache-0.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:7046e79b989d7fe457bb755844019e10f693752d169076138abf17f31380800c"}, + {file = "propcache-0.3.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ca592ed634a73ca002967458187109265e980422116c0a107cf93d81f95af945"}, + {file = "propcache-0.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9ecb0aad4020e275652ba3975740f241bd12a61f1a784df044cf7477a02bc252"}, + {file = "propcache-0.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7f08f1cc28bd2eade7a8a3d2954ccc673bb02062e3e7da09bc75d843386b342f"}, + {file = "propcache-0.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1a342c834734edb4be5ecb1e9fb48cb64b1e2320fccbd8c54bf8da8f2a84c33"}, + {file = "propcache-0.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8a544caaae1ac73f1fecfae70ded3e93728831affebd017d53449e3ac052ac1e"}, + {file = "propcache-0.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:310d11aa44635298397db47a3ebce7db99a4cc4b9bbdfcf6c98a60c8d5261cf1"}, + {file = "propcache-0.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c1396592321ac83157ac03a2023aa6cc4a3cc3cfdecb71090054c09e5a7cce3"}, + {file = "propcache-0.3.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8cabf5b5902272565e78197edb682017d21cf3b550ba0460ee473753f28d23c1"}, + {file = "propcache-0.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0a2f2235ac46a7aa25bdeb03a9e7060f6ecbd213b1f9101c43b3090ffb971ef6"}, + {file = "propcache-0.3.2-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:92b69e12e34869a6970fd2f3da91669899994b47c98f5d430b781c26f1d9f387"}, + {file = "propcache-0.3.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:54e02207c79968ebbdffc169591009f4474dde3b4679e16634d34c9363ff56b4"}, + {file = "propcache-0.3.2-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4adfb44cb588001f68c5466579d3f1157ca07f7504fc91ec87862e2b8e556b88"}, + {file = "propcache-0.3.2-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:fd3e6019dc1261cd0291ee8919dd91fbab7b169bb76aeef6c716833a3f65d206"}, + {file = "propcache-0.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4c181cad81158d71c41a2bce88edce078458e2dd5ffee7eddd6b05da85079f43"}, + {file = "propcache-0.3.2-cp313-cp313-win32.whl", hash = "sha256:8a08154613f2249519e549de2330cf8e2071c2887309a7b07fb56098f5170a02"}, + {file = "propcache-0.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e41671f1594fc4ab0a6dec1351864713cb3a279910ae8b58f884a88a0a632c05"}, + {file = "propcache-0.3.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:9a3cf035bbaf035f109987d9d55dc90e4b0e36e04bbbb95af3055ef17194057b"}, + {file = "propcache-0.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:156c03d07dc1323d8dacaa221fbe028c5c70d16709cdd63502778e6c3ccca1b0"}, + {file = "propcache-0.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74413c0ba02ba86f55cf60d18daab219f7e531620c15f1e23d95563f505efe7e"}, + {file = "propcache-0.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f066b437bb3fa39c58ff97ab2ca351db465157d68ed0440abecb21715eb24b28"}, + {file = "propcache-0.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1304b085c83067914721e7e9d9917d41ad87696bf70f0bc7dee450e9c71ad0a"}, + {file = "propcache-0.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ab50cef01b372763a13333b4e54021bdcb291fc9a8e2ccb9c2df98be51bcde6c"}, + {file = "propcache-0.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fad3b2a085ec259ad2c2842666b2a0a49dea8463579c606426128925af1ed725"}, + {file = "propcache-0.3.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:261fa020c1c14deafd54c76b014956e2f86991af198c51139faf41c4d5e83892"}, + {file = "propcache-0.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:46d7f8aa79c927e5f987ee3a80205c987717d3659f035c85cf0c3680526bdb44"}, + {file = "propcache-0.3.2-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:6d8f3f0eebf73e3c0ff0e7853f68be638b4043c65a70517bb575eff54edd8dbe"}, + {file = "propcache-0.3.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:03c89c1b14a5452cf15403e291c0ccd7751d5b9736ecb2c5bab977ad6c5bcd81"}, + {file = "propcache-0.3.2-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:0cc17efde71e12bbaad086d679ce575268d70bc123a5a71ea7ad76f70ba30bba"}, + {file = "propcache-0.3.2-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:acdf05d00696bc0447e278bb53cb04ca72354e562cf88ea6f9107df8e7fd9770"}, + {file = "propcache-0.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4445542398bd0b5d32df908031cb1b30d43ac848e20470a878b770ec2dcc6330"}, + {file = "propcache-0.3.2-cp313-cp313t-win32.whl", hash = "sha256:f86e5d7cd03afb3a1db8e9f9f6eff15794e79e791350ac48a8c924e6f439f394"}, + {file = "propcache-0.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:9704bedf6e7cbe3c65eca4379a9b53ee6a83749f047808cbb5044d40d7d72198"}, + {file = "propcache-0.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a7fad897f14d92086d6b03fdd2eb844777b0c4d7ec5e3bac0fbae2ab0602bbe5"}, + {file = "propcache-0.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1f43837d4ca000243fd7fd6301947d7cb93360d03cd08369969450cc6b2ce3b4"}, + {file = "propcache-0.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:261df2e9474a5949c46e962065d88eb9b96ce0f2bd30e9d3136bcde84befd8f2"}, + {file = "propcache-0.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e514326b79e51f0a177daab1052bc164d9d9e54133797a3a58d24c9c87a3fe6d"}, + {file = "propcache-0.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d4a996adb6904f85894570301939afeee65f072b4fd265ed7e569e8d9058e4ec"}, + {file = "propcache-0.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:76cace5d6b2a54e55b137669b30f31aa15977eeed390c7cbfb1dafa8dfe9a701"}, + {file = "propcache-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31248e44b81d59d6addbb182c4720f90b44e1efdc19f58112a3c3a1615fb47ef"}, + {file = "propcache-0.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:abb7fa19dbf88d3857363e0493b999b8011eea856b846305d8c0512dfdf8fbb1"}, + {file = "propcache-0.3.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d81ac3ae39d38588ad0549e321e6f773a4e7cc68e7751524a22885d5bbadf886"}, + {file = "propcache-0.3.2-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:cc2782eb0f7a16462285b6f8394bbbd0e1ee5f928034e941ffc444012224171b"}, + {file = "propcache-0.3.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:db429c19a6c7e8a1c320e6a13c99799450f411b02251fb1b75e6217cf4a14fcb"}, + {file = "propcache-0.3.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:21d8759141a9e00a681d35a1f160892a36fb6caa715ba0b832f7747da48fb6ea"}, + {file = "propcache-0.3.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:2ca6d378f09adb13837614ad2754fa8afaee330254f404299611bce41a8438cb"}, + {file = "propcache-0.3.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:34a624af06c048946709f4278b4176470073deda88d91342665d95f7c6270fbe"}, + {file = "propcache-0.3.2-cp39-cp39-win32.whl", hash = "sha256:4ba3fef1c30f306b1c274ce0b8baaa2c3cdd91f645c48f06394068f37d3837a1"}, + {file = "propcache-0.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:7a2368eed65fc69a7a7a40b27f22e85e7627b74216f0846b04ba5c116e191ec9"}, + {file = "propcache-0.3.2-py3-none-any.whl", hash = "sha256:98f1ec44fb675f5052cccc8e609c46ed23a35a1cfd18545ad4e29002d858a43f"}, + {file = "propcache-0.3.2.tar.gz", hash = "sha256:20d7d62e4e7ef05f221e0db2856b979540686342e7dd9973b815599c7057e168"}, +] + +[[package]] +name = "protobuf" +version = "6.32.1" +description = "" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "protobuf-6.32.1-cp310-abi3-win32.whl", hash = "sha256:a8a32a84bc9f2aad712041b8b366190f71dde248926da517bde9e832e4412085"}, + {file = "protobuf-6.32.1-cp310-abi3-win_amd64.whl", hash = "sha256:b00a7d8c25fa471f16bc8153d0e53d6c9e827f0953f3c09aaa4331c718cae5e1"}, + {file = "protobuf-6.32.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d8c7e6eb619ffdf105ee4ab76af5a68b60a9d0f66da3ea12d1640e6d8dab7281"}, + {file = "protobuf-6.32.1-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:2f5b80a49e1eb7b86d85fcd23fe92df154b9730a725c3b38c4e43b9d77018bf4"}, + {file = "protobuf-6.32.1-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:b1864818300c297265c83a4982fd3169f97122c299f56a56e2445c3698d34710"}, + {file = "protobuf-6.32.1-cp39-cp39-win32.whl", hash = "sha256:68ff170bac18c8178f130d1ccb94700cf72852298e016a2443bdb9502279e5f1"}, + {file = "protobuf-6.32.1-cp39-cp39-win_amd64.whl", hash = "sha256:d0975d0b2f3e6957111aa3935d08a0eb7e006b1505d825f862a1fffc8348e122"}, + {file = "protobuf-6.32.1-py3-none-any.whl", hash = "sha256:2601b779fc7d32a866c6b4404f9d42a3f67c5b9f3f15b4db3cccabe06b95c346"}, + {file = "protobuf-6.32.1.tar.gz", hash = "sha256:ee2469e4a021474ab9baafea6cd070e5bf27c7d29433504ddea1a4ee5850f68d"}, +] + +[[package]] +name = "psutil" +version = "7.0.0" +description = "Cross-platform lib for process and system monitoring in Python. NOTE: the syntax of this script MUST be kept compatible with Python 2.7." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25"}, + {file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"}, + {file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91"}, + {file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34"}, + {file = "psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f098451abc2828f7dc6b58d44b532b22f2088f4999a937557b603ce72b1993"}, + {file = "psutil-7.0.0-cp36-cp36m-win32.whl", hash = "sha256:84df4eb63e16849689f76b1ffcb36db7b8de703d1bc1fe41773db487621b6c17"}, + {file = "psutil-7.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:1e744154a6580bc968a0195fd25e80432d3afec619daf145b9e5ba16cc1d688e"}, + {file = "psutil-7.0.0-cp37-abi3-win32.whl", hash = "sha256:ba3fcef7523064a6c9da440fc4d6bd07da93ac726b5733c29027d7dc95b39d99"}, + {file = "psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553"}, + {file = "psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456"}, +] + +[package.extras] +dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"] +test = ["pytest", "pytest-xdist", "setuptools"] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +description = "Run a subprocess in a pseudo terminal" +optional = false +python-versions = "*" +groups = ["main"] +markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\"" +files = [ + {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, + {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, +] + +[[package]] +name = "pure-eval" +version = "0.2.3" +description = "Safely evaluate AST nodes without side effects" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, + {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, +] + +[package.extras] +tests = ["pytest"] + +[[package]] +name = "pyarrow" +version = "16.1.0" +description = "Python library for Apache Arrow" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "pyarrow-16.1.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:17e23b9a65a70cc733d8b738baa6ad3722298fa0c81d88f63ff94bf25eaa77b9"}, + {file = "pyarrow-16.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4740cc41e2ba5d641071d0ab5e9ef9b5e6e8c7611351a5cb7c1d175eaf43674a"}, + {file = "pyarrow-16.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98100e0268d04e0eec47b73f20b39c45b4006f3c4233719c3848aa27a03c1aef"}, + {file = "pyarrow-16.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f68f409e7b283c085f2da014f9ef81e885d90dcd733bd648cfba3ef265961848"}, + {file = "pyarrow-16.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:a8914cd176f448e09746037b0c6b3a9d7688cef451ec5735094055116857580c"}, + {file = "pyarrow-16.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:48be160782c0556156d91adbdd5a4a7e719f8d407cb46ae3bb4eaee09b3111bd"}, + {file = "pyarrow-16.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:9cf389d444b0f41d9fe1444b70650fea31e9d52cfcb5f818b7888b91b586efff"}, + {file = "pyarrow-16.1.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:d0ebea336b535b37eee9eee31761813086d33ed06de9ab6fc6aaa0bace7b250c"}, + {file = "pyarrow-16.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2e73cfc4a99e796727919c5541c65bb88b973377501e39b9842ea71401ca6c1c"}, + {file = "pyarrow-16.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf9251264247ecfe93e5f5a0cd43b8ae834f1e61d1abca22da55b20c788417f6"}, + {file = "pyarrow-16.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddf5aace92d520d3d2a20031d8b0ec27b4395cab9f74e07cc95edf42a5cc0147"}, + {file = "pyarrow-16.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:25233642583bf658f629eb230b9bb79d9af4d9f9229890b3c878699c82f7d11e"}, + {file = "pyarrow-16.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a33a64576fddfbec0a44112eaf844c20853647ca833e9a647bfae0582b2ff94b"}, + {file = "pyarrow-16.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:185d121b50836379fe012753cf15c4ba9638bda9645183ab36246923875f8d1b"}, + {file = "pyarrow-16.1.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:2e51ca1d6ed7f2e9d5c3c83decf27b0d17bb207a7dea986e8dc3e24f80ff7d6f"}, + {file = "pyarrow-16.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:06ebccb6f8cb7357de85f60d5da50e83507954af617d7b05f48af1621d331c9a"}, + {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b04707f1979815f5e49824ce52d1dceb46e2f12909a48a6a753fe7cafbc44a0c"}, + {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d32000693deff8dc5df444b032b5985a48592c0697cb6e3071a5d59888714e2"}, + {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:8785bb10d5d6fd5e15d718ee1d1f914fe768bf8b4d1e5e9bf253de8a26cb1628"}, + {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:e1369af39587b794873b8a307cc6623a3b1194e69399af0efd05bb202195a5a7"}, + {file = "pyarrow-16.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:febde33305f1498f6df85e8020bca496d0e9ebf2093bab9e0f65e2b4ae2b3444"}, + {file = "pyarrow-16.1.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:b5f5705ab977947a43ac83b52ade3b881eb6e95fcc02d76f501d549a210ba77f"}, + {file = "pyarrow-16.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0d27bf89dfc2576f6206e9cd6cf7a107c9c06dc13d53bbc25b0bd4556f19cf5f"}, + {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d07de3ee730647a600037bc1d7b7994067ed64d0eba797ac74b2bc77384f4c2"}, + {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbef391b63f708e103df99fbaa3acf9f671d77a183a07546ba2f2c297b361e83"}, + {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19741c4dbbbc986d38856ee7ddfdd6a00fc3b0fc2d928795b95410d38bb97d15"}, + {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:f2c5fb249caa17b94e2b9278b36a05ce03d3180e6da0c4c3b3ce5b2788f30eed"}, + {file = "pyarrow-16.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:e6b6d3cd35fbb93b70ade1336022cc1147b95ec6af7d36906ca7fe432eb09710"}, + {file = "pyarrow-16.1.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:18da9b76a36a954665ccca8aa6bd9f46c1145f79c0bb8f4f244f5f8e799bca55"}, + {file = "pyarrow-16.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:99f7549779b6e434467d2aa43ab2b7224dd9e41bdde486020bae198978c9e05e"}, + {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f07fdffe4fd5b15f5ec15c8b64584868d063bc22b86b46c9695624ca3505b7b4"}, + {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddfe389a08ea374972bd4065d5f25d14e36b43ebc22fc75f7b951f24378bf0b5"}, + {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:3b20bd67c94b3a2ea0a749d2a5712fc845a69cb5d52e78e6449bbd295611f3aa"}, + {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:ba8ac20693c0bb0bf4b238751d4409e62852004a8cf031c73b0e0962b03e45e3"}, + {file = "pyarrow-16.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:31a1851751433d89a986616015841977e0a188662fcffd1a5677453f1df2de0a"}, + {file = "pyarrow-16.1.0.tar.gz", hash = "sha256:15fbb22ea96d11f0b5768504a3f961edab25eaf4197c341720c4a387f6c60315"}, +] + +[package.dependencies] +numpy = ">=1.16.6" + +[[package]] +name = "pyasn1" +version = "0.6.1" +description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, + {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, +] + +[[package]] +name = "pyasn1-modules" +version = "0.4.2" +description = "A collection of ASN.1-based protocols modules" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"}, + {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"}, +] + +[package.dependencies] +pyasn1 = ">=0.6.1,<0.7.0" + +[[package]] +name = "pycparser" +version = "2.23" +description = "C parser in Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "implementation_name != \"PyPy\"" +files = [ + {file = "pycparser-2.23-py3-none-any.whl", hash = "sha256:e5c6e8d3fbad53479cab09ac03729e0a9faf2bee3db8208a550daf5af81a5934"}, + {file = "pycparser-2.23.tar.gz", hash = "sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2"}, +] + +[[package]] +name = "pydantic" +version = "2.11.9" +description = "Data validation using Python type hints" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pydantic-2.11.9-py3-none-any.whl", hash = "sha256:c42dd626f5cfc1c6950ce6205ea58c93efa406da65f479dcb4029d5934857da2"}, + {file = "pydantic-2.11.9.tar.gz", hash = "sha256:6b8ffda597a14812a7975c90b82a8a2e777d9257aba3453f973acd3c032a18e2"}, +] + +[package.dependencies] +annotated-types = ">=0.6.0" +pydantic-core = "2.33.2" +typing-extensions = ">=4.12.2" +typing-inspection = ">=0.4.0" + +[package.extras] +email = ["email-validator (>=2.0.0)"] +timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""] + +[[package]] +name = "pydantic-core" +version = "2.33.2" +description = "Core functionality for Pydantic validation and serialization" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8"}, + {file = "pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d"}, + {file = "pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0069c9acc3f3981b9ff4cdfaf088e98d83440a4c7ea1bc07460af3d4dc22e72d"}, + {file = "pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d53b22f2032c42eaaf025f7c40c2e3b94568ae077a606f006d206a463bc69572"}, + {file = "pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0405262705a123b7ce9f0b92f123334d67b70fd1f20a9372b907ce1080c7ba02"}, + {file = "pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4b25d91e288e2c4e0662b8038a28c6a07eaac3e196cfc4ff69de4ea3db992a1b"}, + {file = "pydantic_core-2.33.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6bdfe4b3789761f3bcb4b1ddf33355a71079858958e3a552f16d5af19768fef2"}, + {file = "pydantic_core-2.33.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:efec8db3266b76ef9607c2c4c419bdb06bf335ae433b80816089ea7585816f6a"}, + {file = "pydantic_core-2.33.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:031c57d67ca86902726e0fae2214ce6770bbe2f710dc33063187a68744a5ecac"}, + {file = "pydantic_core-2.33.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:f8de619080e944347f5f20de29a975c2d815d9ddd8be9b9b7268e2e3ef68605a"}, + {file = "pydantic_core-2.33.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:73662edf539e72a9440129f231ed3757faab89630d291b784ca99237fb94db2b"}, + {file = "pydantic_core-2.33.2-cp310-cp310-win32.whl", hash = "sha256:0a39979dcbb70998b0e505fb1556a1d550a0781463ce84ebf915ba293ccb7e22"}, + {file = "pydantic_core-2.33.2-cp310-cp310-win_amd64.whl", hash = "sha256:b0379a2b24882fef529ec3b4987cb5d003b9cda32256024e6fe1586ac45fc640"}, + {file = "pydantic_core-2.33.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:4c5b0a576fb381edd6d27f0a85915c6daf2f8138dc5c267a57c08a62900758c7"}, + {file = "pydantic_core-2.33.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e799c050df38a639db758c617ec771fd8fb7a5f8eaaa4b27b101f266b216a246"}, + {file = "pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc46a01bf8d62f227d5ecee74178ffc448ff4e5197c756331f71efcc66dc980f"}, + {file = "pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a144d4f717285c6d9234a66778059f33a89096dfb9b39117663fd8413d582dcc"}, + {file = "pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:73cf6373c21bc80b2e0dc88444f41ae60b2f070ed02095754eb5a01df12256de"}, + {file = "pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3dc625f4aa79713512d1976fe9f0bc99f706a9dee21dfd1810b4bbbf228d0e8a"}, + {file = "pydantic_core-2.33.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:881b21b5549499972441da4758d662aeea93f1923f953e9cbaff14b8b9565aef"}, + {file = "pydantic_core-2.33.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bdc25f3681f7b78572699569514036afe3c243bc3059d3942624e936ec93450e"}, + {file = "pydantic_core-2.33.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:fe5b32187cbc0c862ee201ad66c30cf218e5ed468ec8dc1cf49dec66e160cc4d"}, + {file = "pydantic_core-2.33.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:bc7aee6f634a6f4a95676fcb5d6559a2c2a390330098dba5e5a5f28a2e4ada30"}, + {file = "pydantic_core-2.33.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:235f45e5dbcccf6bd99f9f472858849f73d11120d76ea8707115415f8e5ebebf"}, + {file = "pydantic_core-2.33.2-cp311-cp311-win32.whl", hash = "sha256:6368900c2d3ef09b69cb0b913f9f8263b03786e5b2a387706c5afb66800efd51"}, + {file = "pydantic_core-2.33.2-cp311-cp311-win_amd64.whl", hash = "sha256:1e063337ef9e9820c77acc768546325ebe04ee38b08703244c1309cccc4f1bab"}, + {file = "pydantic_core-2.33.2-cp311-cp311-win_arm64.whl", hash = "sha256:6b99022f1d19bc32a4c2a0d544fc9a76e3be90f0b3f4af413f87d38749300e65"}, + {file = "pydantic_core-2.33.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a7ec89dc587667f22b6a0b6579c249fca9026ce7c333fc142ba42411fa243cdc"}, + {file = "pydantic_core-2.33.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3c6db6e52c6d70aa0d00d45cdb9b40f0433b96380071ea80b09277dba021ddf7"}, + {file = "pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e61206137cbc65e6d5256e1166f88331d3b6238e082d9f74613b9b765fb9025"}, + {file = "pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eb8c529b2819c37140eb51b914153063d27ed88e3bdc31b71198a198e921e011"}, + {file = "pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c52b02ad8b4e2cf14ca7b3d918f3eb0ee91e63b3167c32591e57c4317e134f8f"}, + {file = "pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:96081f1605125ba0855dfda83f6f3df5ec90c61195421ba72223de35ccfb2f88"}, + {file = "pydantic_core-2.33.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f57a69461af2a5fa6e6bbd7a5f60d3b7e6cebb687f55106933188e79ad155c1"}, + {file = "pydantic_core-2.33.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:572c7e6c8bb4774d2ac88929e3d1f12bc45714ae5ee6d9a788a9fb35e60bb04b"}, + {file = "pydantic_core-2.33.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:db4b41f9bd95fbe5acd76d89920336ba96f03e149097365afe1cb092fceb89a1"}, + {file = "pydantic_core-2.33.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:fa854f5cf7e33842a892e5c73f45327760bc7bc516339fda888c75ae60edaeb6"}, + {file = "pydantic_core-2.33.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5f483cfb75ff703095c59e365360cb73e00185e01aaea067cd19acffd2ab20ea"}, + {file = "pydantic_core-2.33.2-cp312-cp312-win32.whl", hash = "sha256:9cb1da0f5a471435a7bc7e439b8a728e8b61e59784b2af70d7c169f8dd8ae290"}, + {file = "pydantic_core-2.33.2-cp312-cp312-win_amd64.whl", hash = "sha256:f941635f2a3d96b2973e867144fde513665c87f13fe0e193c158ac51bfaaa7b2"}, + {file = "pydantic_core-2.33.2-cp312-cp312-win_arm64.whl", hash = "sha256:cca3868ddfaccfbc4bfb1d608e2ccaaebe0ae628e1416aeb9c4d88c001bb45ab"}, + {file = "pydantic_core-2.33.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:1082dd3e2d7109ad8b7da48e1d4710c8d06c253cbc4a27c1cff4fbcaa97a9e3f"}, + {file = "pydantic_core-2.33.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f517ca031dfc037a9c07e748cefd8d96235088b83b4f4ba8939105d20fa1dcd6"}, + {file = "pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a9f2c9dd19656823cb8250b0724ee9c60a82f3cdf68a080979d13092a3b0fef"}, + {file = "pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2b0a451c263b01acebe51895bfb0e1cc842a5c666efe06cdf13846c7418caa9a"}, + {file = "pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ea40a64d23faa25e62a70ad163571c0b342b8bf66d5fa612ac0dec4f069d916"}, + {file = "pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0fb2d542b4d66f9470e8065c5469ec676978d625a8b7a363f07d9a501a9cb36a"}, + {file = "pydantic_core-2.33.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdac5d6ffa1b5a83bca06ffe7583f5576555e6c8b3a91fbd25ea7780f825f7d"}, + {file = "pydantic_core-2.33.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:04a1a413977ab517154eebb2d326da71638271477d6ad87a769102f7c2488c56"}, + {file = "pydantic_core-2.33.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c8e7af2f4e0194c22b5b37205bfb293d166a7344a5b0d0eaccebc376546d77d5"}, + {file = "pydantic_core-2.33.2-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:5c92edd15cd58b3c2d34873597a1e20f13094f59cf88068adb18947df5455b4e"}, + {file = "pydantic_core-2.33.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:65132b7b4a1c0beded5e057324b7e16e10910c106d43675d9bd87d4f38dde162"}, + {file = "pydantic_core-2.33.2-cp313-cp313-win32.whl", hash = "sha256:52fb90784e0a242bb96ec53f42196a17278855b0f31ac7c3cc6f5c1ec4811849"}, + {file = "pydantic_core-2.33.2-cp313-cp313-win_amd64.whl", hash = "sha256:c083a3bdd5a93dfe480f1125926afcdbf2917ae714bdb80b36d34318b2bec5d9"}, + {file = "pydantic_core-2.33.2-cp313-cp313-win_arm64.whl", hash = "sha256:e80b087132752f6b3d714f041ccf74403799d3b23a72722ea2e6ba2e892555b9"}, + {file = "pydantic_core-2.33.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61c18fba8e5e9db3ab908620af374db0ac1baa69f0f32df4f61ae23f15e586ac"}, + {file = "pydantic_core-2.33.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95237e53bb015f67b63c91af7518a62a8660376a6a0db19b89acc77a4d6199f5"}, + {file = "pydantic_core-2.33.2-cp313-cp313t-win_amd64.whl", hash = "sha256:c2fc0a768ef76c15ab9238afa6da7f69895bb5d1ee83aeea2e3509af4472d0b9"}, + {file = "pydantic_core-2.33.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a2b911a5b90e0374d03813674bf0a5fbbb7741570dcd4b4e85a2e48d17def29d"}, + {file = "pydantic_core-2.33.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6fa6dfc3e4d1f734a34710f391ae822e0a8eb8559a85c6979e14e65ee6ba2954"}, + {file = "pydantic_core-2.33.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c54c939ee22dc8e2d545da79fc5381f1c020d6d3141d3bd747eab59164dc89fb"}, + {file = "pydantic_core-2.33.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:53a57d2ed685940a504248187d5685e49eb5eef0f696853647bf37c418c538f7"}, + {file = "pydantic_core-2.33.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09fb9dd6571aacd023fe6aaca316bd01cf60ab27240d7eb39ebd66a3a15293b4"}, + {file = "pydantic_core-2.33.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0e6116757f7959a712db11f3e9c0a99ade00a5bbedae83cb801985aa154f071b"}, + {file = "pydantic_core-2.33.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d55ab81c57b8ff8548c3e4947f119551253f4e3787a7bbc0b6b3ca47498a9d3"}, + {file = "pydantic_core-2.33.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c20c462aa4434b33a2661701b861604913f912254e441ab8d78d30485736115a"}, + {file = "pydantic_core-2.33.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:44857c3227d3fb5e753d5fe4a3420d6376fa594b07b621e220cd93703fe21782"}, + {file = "pydantic_core-2.33.2-cp39-cp39-musllinux_1_1_armv7l.whl", hash = "sha256:eb9b459ca4df0e5c87deb59d37377461a538852765293f9e6ee834f0435a93b9"}, + {file = "pydantic_core-2.33.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9fcd347d2cc5c23b06de6d3b7b8275be558a0c90549495c699e379a80bf8379e"}, + {file = "pydantic_core-2.33.2-cp39-cp39-win32.whl", hash = "sha256:83aa99b1285bc8f038941ddf598501a86f1536789740991d7d8756e34f1e74d9"}, + {file = "pydantic_core-2.33.2-cp39-cp39-win_amd64.whl", hash = "sha256:f481959862f57f29601ccced557cc2e817bce7533ab8e01a797a48b49c9692b3"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5c4aa4e82353f65e548c476b37e64189783aa5384903bfea4f41580f255fddfa"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d946c8bf0d5c24bf4fe333af284c59a19358aa3ec18cb3dc4370080da1e8ad29"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87b31b6846e361ef83fedb187bb5b4372d0da3f7e28d85415efa92d6125d6e6d"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa9d91b338f2df0508606f7009fde642391425189bba6d8c653afd80fd6bb64e"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2058a32994f1fde4ca0480ab9d1e75a0e8c87c22b53a3ae66554f9af78f2fe8c"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:0e03262ab796d986f978f79c943fc5f620381be7287148b8010b4097f79a39ec"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:1a8695a8d00c73e50bff9dfda4d540b7dee29ff9b8053e38380426a85ef10052"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:fa754d1850735a0b0e03bcffd9d4b4343eb417e47196e4485d9cca326073a42c"}, + {file = "pydantic_core-2.33.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a11c8d26a50bfab49002947d3d237abe4d9e4b5bdc8846a63537b6488e197808"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:dd14041875d09cc0f9308e37a6f8b65f5585cf2598a53aa0123df8b129d481f8"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:d87c561733f66531dced0da6e864f44ebf89a8fba55f31407b00c2f7f9449593"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f82865531efd18d6e07a04a17331af02cb7a651583c418df8266f17a63c6612"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bfb5112df54209d820d7bf9317c7a6c9025ea52e49f46b6a2060104bba37de7"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:64632ff9d614e5eecfb495796ad51b0ed98c453e447a76bcbeeb69615079fc7e"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f889f7a40498cc077332c7ab6b4608d296d852182211787d4f3ee377aaae66e8"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:de4b83bb311557e439b9e186f733f6c645b9417c84e2eb8203f3f820a4b988bf"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:82f68293f055f51b51ea42fafc74b6aad03e70e191799430b90c13d643059ebb"}, + {file = "pydantic_core-2.33.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:329467cecfb529c925cf2bbd4d60d2c509bc2fb52a20c1045bf09bb70971a9c1"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:87acbfcf8e90ca885206e98359d7dca4bcbb35abdc0ff66672a293e1d7a19101"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:7f92c15cd1e97d4b12acd1cc9004fa092578acfa57b67ad5e43a197175d01a64"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3f26877a748dc4251cfcfda9dfb5f13fcb034f5308388066bcfe9031b63ae7d"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dac89aea9af8cd672fa7b510e7b8c33b0bba9a43186680550ccf23020f32d535"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:970919794d126ba8645f3837ab6046fb4e72bbc057b3709144066204c19a455d"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:3eb3fe62804e8f859c49ed20a8451342de53ed764150cb14ca71357c765dc2a6"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:3abcd9392a36025e3bd55f9bd38d908bd17962cc49bc6da8e7e96285336e2bca"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:3a1c81334778f9e3af2f8aeb7a960736e5cab1dfebfb26aabca09afd2906c039"}, + {file = "pydantic_core-2.33.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2807668ba86cb38c6817ad9bc66215ab8584d1d304030ce4f0887336f28a5e27"}, + {file = "pydantic_core-2.33.2.tar.gz", hash = "sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc"}, +] + +[package.dependencies] +typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0" + +[[package]] +name = "pydub" +version = "0.25.1" +description = "Manipulate audio with an simple and easy high level interface" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "pydub-0.25.1-py2.py3-none-any.whl", hash = "sha256:65617e33033874b59d87db603aa1ed450633288aefead953b30bded59cb599a6"}, + {file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"}, +] + +[[package]] +name = "pygments" +version = "2.19.2" +description = "Pygments is a syntax highlighting package written in Python." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"}, + {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"}, +] + +[package.extras] +windows-terminal = ["colorama (>=0.4.6)"] + +[[package]] +name = "pyjwt" +version = "2.10.1" +description = "JSON Web Token implementation in Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"}, + {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"}, +] + +[package.dependencies] +cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""} + +[package.extras] +crypto = ["cryptography (>=3.4.0)"] +dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx", "sphinx-rtd-theme", "zope.interface"] +docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"] +tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"] + +[[package]] +name = "pymodbus" +version = "3.8.6" +description = "A fully featured modbus protocol stack in python" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "pymodbus-3.8.6-py3-none-any.whl", hash = "sha256:b82373295fb98c9a9bf9338235240a8b2e97bcc49c0d833168cade7ba2fa90e6"}, + {file = "pymodbus-3.8.6.tar.gz", hash = "sha256:7689b56cc3ad05a594e1486e772abb9d9646c01737935df492db04455680baf6"}, +] + +[package.extras] +all = ["pymodbus[development,documentation,repl,serial,simulator]"] +development = ["build (>=1.2.2)", "codespell (>=2.3.0)", "coverage (>=7.6.1)", "mypy (>=1.11.2)", "pylint (>=3.3.0)", "pytest (>=8.3.3)", "pytest-aiohttp (>=1.0.5)", "pytest-asyncio (>=0.24.0)", "pytest-cov (>=5.0.0)", "pytest-profiling (>=1.7.0) ; python_version < \"3.13\"", "pytest-timeout (>=2.3.1)", "pytest-xdist (>=3.6.1)", "ruff (>=0.8.2)", "twine (>=5.1.1)", "types-Pygments", "types-pyserial"] +documentation = ["Sphinx (>=7.3.7)", "recommonmark (>=0.7.1)", "sphinx-rtd-theme (>=2.0.0)"] +repl = ["pymodbus-repl (>=2.0.4)"] +serial = ["pyserial (>=3.5)"] +simulator = ["aiohttp (>=3.10.6) ; python_version >= \"3.12\"", "aiohttp (>=3.8.6) ; python_version < \"3.12\""] + +[[package]] +name = "pyparsing" +version = "3.2.4" +description = "pyparsing - Classes and methods to define and execute parsing grammars" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pyparsing-3.2.4-py3-none-any.whl", hash = "sha256:91d0fcde680d42cd031daf3a6ba20da3107e08a75de50da58360e7d94ab24d36"}, + {file = "pyparsing-3.2.4.tar.gz", hash = "sha256:fff89494f45559d0f2ce46613b419f632bbb6afbdaed49696d322bcf98a58e99"}, +] + +[package.extras] +diagrams = ["jinja2", "railroad-diagrams"] + +[[package]] +name = "python-dateutil" +version = "2.9.0" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] +files = [ + {file = "python-dateutil-2.9.0.tar.gz", hash = "sha256:78e73e19c63f5b20ffa567001531680d939dc042bf7850431877645523c66709"}, + {file = "python_dateutil-2.9.0-py2.py3-none-any.whl", hash = "sha256:cbf2f1da5e6083ac2fbfd4da39a25f34312230110440f424a14c7558bb85d82e"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "python-dotenv" +version = "1.1.1" +description = "Read key-value pairs from a .env file and set them as environment variables" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "python_dotenv-1.1.1-py3-none-any.whl", hash = "sha256:31f23644fe2602f88ff55e1f5c79ba497e01224ee7737937930c448e4d0e24dc"}, + {file = "python_dotenv-1.1.1.tar.gz", hash = "sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab"}, +] + +[package.extras] +cli = ["click (>=5.0)"] + +[[package]] +name = "python-json-logger" +version = "3.3.0" +description = "JSON Log Formatter for the Python Logging Package" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "python_json_logger-3.3.0-py3-none-any.whl", hash = "sha256:dd980fae8cffb24c13caf6e158d3d61c0d6d22342f932cb6e9deedab3d35eec7"}, + {file = "python_json_logger-3.3.0.tar.gz", hash = "sha256:12b7e74b17775e7d565129296105bbe3910842d9d0eb083fc83a6a617aa8df84"}, +] + +[package.extras] +dev = ["backports.zoneinfo ; python_version < \"3.9\"", "black", "build", "freezegun", "mdx_truly_sane_lists", "mike", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-material (>=8.5)", "mkdocstrings[python]", "msgspec ; implementation_name != \"pypy\"", "mypy", "orjson ; implementation_name != \"pypy\"", "pylint", "pytest", "tzdata", "validate-pyproject[all]"] + +[[package]] +name = "python-multipart" +version = "0.0.20" +description = "A streaming multipart parser for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104"}, + {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"}, +] + +[[package]] +name = "pytorch-lightning" +version = "2.5.5" +description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "pytorch_lightning-2.5.5-py3-none-any.whl", hash = "sha256:0b533991df2353c0c6ea9ca10a7d0728b73631fd61f5a15511b19bee2aef8af0"}, + {file = "pytorch_lightning-2.5.5.tar.gz", hash = "sha256:d6fc8173d1d6e49abfd16855ea05d2eb2415e68593f33d43e59028ecb4e64087"}, +] + +[package.dependencies] +fsspec = {version = ">=2022.5.0", extras = ["http"]} +lightning-utilities = ">=0.10.0" +packaging = ">=20.0" +PyYAML = ">5.4" +torch = ">=2.1.0" +torchmetrics = ">0.7.0" +tqdm = ">=4.57.0" +typing-extensions = ">4.5.0" + +[package.extras] +all = ["bitsandbytes (>=0.45.2) ; platform_system != \"Darwin\"", "deepspeed (>=0.14.1,<=0.15.0) ; platform_system != \"Windows\" and platform_system != \"Darwin\"", "hydra-core (>=1.2.0)", "ipython[all] (>=8.0.0)", "jsonargparse[jsonnet,signatures] (>=4.39.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.33.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"] +deepspeed = ["deepspeed (>=0.14.1,<=0.15.0) ; platform_system != \"Windows\" and platform_system != \"Darwin\""] +dev = ["bitsandbytes (>=0.45.2) ; platform_system != \"Darwin\"", "cloudpickle (>=1.3)", "coverage (==7.10.6)", "deepspeed (>=0.14.1,<=0.15.0) ; platform_system != \"Windows\" and platform_system != \"Darwin\"", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (>=8.0.0)", "jsonargparse[jsonnet,signatures] (>=4.39.0)", "matplotlib (>3.1)", "numpy (>1.20.0)", "omegaconf (>=2.2.3)", "onnx (>1.12.0)", "onnxruntime (>=1.12.0)", "onnxscript (>=0.1.0)", "pandas (>2.0)", "psutil (<7.0.1)", "pytest (==8.4.1)", "pytest-cov (==6.2.1)", "pytest-random-order (==1.2.0)", "pytest-rerunfailures (==16.0)", "pytest-timeout (==2.4.0)", "requests (<2.33.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.11)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"] +examples = ["ipython[all] (>=8.0.0)", "requests (<2.33.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"] +extra = ["bitsandbytes (>=0.45.2) ; platform_system != \"Darwin\"", "hydra-core (>=1.2.0)", "jsonargparse[jsonnet,signatures] (>=4.39.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"] +strategies = ["deepspeed (>=0.14.1,<=0.15.0) ; platform_system != \"Windows\" and platform_system != \"Darwin\""] +test = ["cloudpickle (>=1.3)", "coverage (==7.10.6)", "fastapi", "numpy (>1.20.0)", "onnx (>1.12.0)", "onnxruntime (>=1.12.0)", "onnxscript (>=0.1.0)", "pandas (>2.0)", "psutil (<7.0.1)", "pytest (==8.4.1)", "pytest-cov (==6.2.1)", "pytest-random-order (==1.2.0)", "pytest-rerunfailures (==16.0)", "pytest-timeout (==2.4.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.11)", "uvicorn"] + +[[package]] +name = "pytz" +version = "2025.2" +description = "World timezone definitions, modern and historical" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, + {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, +] + +[[package]] +name = "pywin32" +version = "311" +description = "Python for Window Extensions" +optional = false +python-versions = "*" +groups = ["main"] +markers = "sys_platform == \"win32\"" +files = [ + {file = "pywin32-311-cp310-cp310-win32.whl", hash = "sha256:d03ff496d2a0cd4a5893504789d4a15399133fe82517455e78bad62efbb7f0a3"}, + {file = "pywin32-311-cp310-cp310-win_amd64.whl", hash = "sha256:797c2772017851984b97180b0bebe4b620bb86328e8a884bb626156295a63b3b"}, + {file = "pywin32-311-cp310-cp310-win_arm64.whl", hash = "sha256:0502d1facf1fed4839a9a51ccbcc63d952cf318f78ffc00a7e78528ac27d7a2b"}, + {file = "pywin32-311-cp311-cp311-win32.whl", hash = "sha256:184eb5e436dea364dcd3d2316d577d625c0351bf237c4e9a5fabbcfa5a58b151"}, + {file = "pywin32-311-cp311-cp311-win_amd64.whl", hash = "sha256:3ce80b34b22b17ccbd937a6e78e7225d80c52f5ab9940fe0506a1a16f3dab503"}, + {file = "pywin32-311-cp311-cp311-win_arm64.whl", hash = "sha256:a733f1388e1a842abb67ffa8e7aad0e70ac519e09b0f6a784e65a136ec7cefd2"}, + {file = "pywin32-311-cp312-cp312-win32.whl", hash = "sha256:750ec6e621af2b948540032557b10a2d43b0cee2ae9758c54154d711cc852d31"}, + {file = "pywin32-311-cp312-cp312-win_amd64.whl", hash = "sha256:b8c095edad5c211ff31c05223658e71bf7116daa0ecf3ad85f3201ea3190d067"}, + {file = "pywin32-311-cp312-cp312-win_arm64.whl", hash = "sha256:e286f46a9a39c4a18b319c28f59b61de793654af2f395c102b4f819e584b5852"}, + {file = "pywin32-311-cp313-cp313-win32.whl", hash = "sha256:f95ba5a847cba10dd8c4d8fefa9f2a6cf283b8b88ed6178fa8a6c1ab16054d0d"}, + {file = "pywin32-311-cp313-cp313-win_amd64.whl", hash = "sha256:718a38f7e5b058e76aee1c56ddd06908116d35147e133427e59a3983f703a20d"}, + {file = "pywin32-311-cp313-cp313-win_arm64.whl", hash = "sha256:7b4075d959648406202d92a2310cb990fea19b535c7f4a78d3f5e10b926eeb8a"}, + {file = "pywin32-311-cp314-cp314-win32.whl", hash = "sha256:b7a2c10b93f8986666d0c803ee19b5990885872a7de910fc460f9b0c2fbf92ee"}, + {file = "pywin32-311-cp314-cp314-win_amd64.whl", hash = "sha256:3aca44c046bd2ed8c90de9cb8427f581c479e594e99b5c0bb19b29c10fd6cb87"}, + {file = "pywin32-311-cp314-cp314-win_arm64.whl", hash = "sha256:a508e2d9025764a8270f93111a970e1d0fbfc33f4153b388bb649b7eec4f9b42"}, + {file = "pywin32-311-cp38-cp38-win32.whl", hash = "sha256:6c6f2969607b5023b0d9ce2541f8d2cbb01c4f46bc87456017cf63b73f1e2d8c"}, + {file = "pywin32-311-cp38-cp38-win_amd64.whl", hash = "sha256:c8015b09fb9a5e188f83b7b04de91ddca4658cee2ae6f3bc483f0b21a77ef6cd"}, + {file = "pywin32-311-cp39-cp39-win32.whl", hash = "sha256:aba8f82d551a942cb20d4a83413ccbac30790b50efb89a75e4f586ac0bb8056b"}, + {file = "pywin32-311-cp39-cp39-win_amd64.whl", hash = "sha256:e0c4cfb0621281fe40387df582097fd796e80430597cb9944f0ae70447bacd91"}, + {file = "pywin32-311-cp39-cp39-win_arm64.whl", hash = "sha256:62ea666235135fee79bb154e695f3ff67370afefd71bd7fea7512fc70ef31e3d"}, +] + +[[package]] +name = "pywinpty" +version = "3.0.0" +description = "" +optional = false +python-versions = ">=3.9" +groups = ["main"] +markers = "os_name == \"nt\"" +files = [ + {file = "pywinpty-3.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:327b6034e0dc38352c1c99a7c0b3e54941b4e506a5f21acce63609cd2ab6cce2"}, + {file = "pywinpty-3.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:29daa71ac5dcbe1496ef99f4cde85a732b1f0a3b71405d42177dbcf9ee405e5a"}, + {file = "pywinpty-3.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:1e0c4b01e5b03b1531d7c5d0e044b8c66dd0288c6d2b661820849f2a8d91aec3"}, + {file = "pywinpty-3.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:828cbe756b7e3d25d886fbd5691a1d523cd59c5fb79286bb32bb75c5221e7ba1"}, + {file = "pywinpty-3.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:de0cbe27b96e5a2cebd86c4a6b8b4139f978d9c169d44a8edc7e30e88e5d7a69"}, + {file = "pywinpty-3.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:007735316170ec1b6e773deadab5fe9ec4074dfdc06f27513fe87b8cfe45237d"}, + {file = "pywinpty-3.0.0.tar.gz", hash = "sha256:68f70e68a9f0766ffdea3fc500351cb7b9b012bcb8239a411f7ff0fc8f86dcb1"}, +] + +[[package]] +name = "pyyaml" +version = "6.0.2" +description = "YAML parser and emitter for Python" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, + {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"}, + {file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"}, + {file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"}, + {file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"}, + {file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"}, + {file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"}, + {file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"}, + {file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"}, + {file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"}, + {file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"}, + {file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"}, + {file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"}, + {file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"}, + {file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"}, + {file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"}, + {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"}, +] + +[[package]] +name = "pyzmq" +version = "27.1.0" +description = "Python bindings for 0MQ" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4"}, + {file = "pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556"}, + {file = "pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b"}, + {file = "pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e"}, + {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526"}, + {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1"}, + {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386"}, + {file = "pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda"}, + {file = "pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f"}, + {file = "pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32"}, + {file = "pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86"}, + {file = "pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581"}, + {file = "pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f"}, + {file = "pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e"}, + {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e"}, + {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2"}, + {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394"}, + {file = "pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f"}, + {file = "pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97"}, + {file = "pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07"}, + {file = "pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc"}, + {file = "pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113"}, + {file = "pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233"}, + {file = "pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31"}, + {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28"}, + {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856"}, + {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496"}, + {file = "pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd"}, + {file = "pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf"}, + {file = "pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f"}, + {file = "pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5"}, + {file = "pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6"}, + {file = "pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7"}, + {file = "pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05"}, + {file = "pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9"}, + {file = "pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128"}, + {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39"}, + {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97"}, + {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db"}, + {file = "pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c"}, + {file = "pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2"}, + {file = "pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e"}, + {file = "pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a"}, + {file = "pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea"}, + {file = "pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96"}, + {file = "pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d"}, + {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146"}, + {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd"}, + {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a"}, + {file = "pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92"}, + {file = "pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0"}, + {file = "pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7"}, + {file = "pyzmq-27.1.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:18339186c0ed0ce5835f2656cdfb32203125917711af64da64dbaa3d949e5a1b"}, + {file = "pyzmq-27.1.0-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:753d56fba8f70962cd8295fb3edb40b9b16deaa882dd2b5a3a2039f9ff7625aa"}, + {file = "pyzmq-27.1.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b721c05d932e5ad9ff9344f708c96b9e1a485418c6618d765fca95d4daacfbef"}, + {file = "pyzmq-27.1.0-cp38-cp38-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be883ff3d722e6085ee3f4afc057a50f7f2e0c72d289fd54df5706b4e3d3a50"}, + {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:b2e592db3a93128daf567de9650a2f3859017b3f7a66bc4ed6e4779d6034976f"}, + {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ad68808a61cbfbbae7ba26d6233f2a4aa3b221de379ce9ee468aa7a83b9c36b0"}, + {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:e2687c2d230e8d8584fbea433c24382edfeda0c60627aca3446aa5e58d5d1831"}, + {file = "pyzmq-27.1.0-cp38-cp38-win32.whl", hash = "sha256:a1aa0ee920fb3825d6c825ae3f6c508403b905b698b6460408ebd5bb04bbb312"}, + {file = "pyzmq-27.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:df7cd397ece96cf20a76fae705d40efbab217d217897a5053267cd88a700c266"}, + {file = "pyzmq-27.1.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:96c71c32fff75957db6ae33cd961439f386505c6e6b377370af9b24a1ef9eafb"}, + {file = "pyzmq-27.1.0-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:49d3980544447f6bd2968b6ac913ab963a49dcaa2d4a2990041f16057b04c429"}, + {file = "pyzmq-27.1.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:849ca054d81aa1c175c49484afaaa5db0622092b5eccb2055f9f3bb8f703782d"}, + {file = "pyzmq-27.1.0-cp39-cp39-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3970778e74cb7f85934d2b926b9900e92bfe597e62267d7499acc39c9c28e345"}, + {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:da96ecdcf7d3919c3be2de91a8c513c186f6762aa6cf7c01087ed74fad7f0968"}, + {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:9541c444cfe1b1c0156c5c86ece2bb926c7079a18e7b47b0b1b3b1b875e5d098"}, + {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e30a74a39b93e2e1591b58eb1acef4902be27c957a8720b0e368f579b82dc22f"}, + {file = "pyzmq-27.1.0-cp39-cp39-win32.whl", hash = "sha256:b1267823d72d1e40701dcba7edc45fd17f71be1285557b7fe668887150a14b78"}, + {file = "pyzmq-27.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:0c996ded912812a2fcd7ab6574f4ad3edc27cb6510349431e4930d4196ade7db"}, + {file = "pyzmq-27.1.0-cp39-cp39-win_arm64.whl", hash = "sha256:346e9ba4198177a07e7706050f35d733e08c1c1f8ceacd5eb6389d653579ffbc"}, + {file = "pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6"}, + {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90"}, + {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62"}, + {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74"}, + {file = "pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba"}, + {file = "pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066"}, + {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604"}, + {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c"}, + {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271"}, + {file = "pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355"}, + {file = "pyzmq-27.1.0-pp38-pypy38_pp73-macosx_10_15_x86_64.whl", hash = "sha256:50081a4e98472ba9f5a02850014b4c9b629da6710f8f14f3b15897c666a28f1b"}, + {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:510869f9df36ab97f89f4cff9d002a89ac554c7ac9cadd87d444aa4cf66abd27"}, + {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1f8426a01b1c4098a750973c37131cf585f61c7911d735f729935a0c701b68d3"}, + {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:726b6a502f2e34c6d2ada5e702929586d3ac948a4dbbb7fed9854ec8c0466027"}, + {file = "pyzmq-27.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:bd67e7c8f4654bef471c0b1ca6614af0b5202a790723a58b79d9584dc8022a78"}, + {file = "pyzmq-27.1.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:722ea791aa233ac0a819fc2c475e1292c76930b31f1d828cb61073e2fe5e208f"}, + {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:01f9437501886d3a1dd4b02ef59fb8cc384fa718ce066d52f175ee49dd5b7ed8"}, + {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4a19387a3dddcc762bfd2f570d14e2395b2c9701329b266f83dd87a2b3cbd381"}, + {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c618fbcd069e3a29dcd221739cacde52edcc681f041907867e0f5cc7e85f172"}, + {file = "pyzmq-27.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff8d114d14ac671d88c89b9224c63d6c4e5a613fe8acd5594ce53d752a3aafe9"}, + {file = "pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540"}, +] + +[package.dependencies] +cffi = {version = "*", markers = "implementation_name == \"pypy\""} + +[[package]] +name = "rapidfuzz" +version = "3.14.1" +description = "rapid fuzzy string matching" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "rapidfuzz-3.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:489440e4b5eea0d150a31076eb183bed0ec84f934df206c72ae4fc3424501758"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eff22cc938c3f74d194df03790a6c3325d213b28cf65cdefd6fdeae759b745d5"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0307f018b16feaa36074bcec2496f6f120af151a098910296e72e233232a62f"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bc133652da143aca1ab72de235446432888b2b7f44ee332d006f8207967ecb8a"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:e9e71b3fe7e4a1590843389a90fe2a8684649fc74b9b7446e17ee504ddddb7de"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6c51519eb2f20b52eba6fc7d857ae94acc6c2a1f5d0f2d794b9d4977cdc29dd7"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-manylinux_2_31_armv7l.whl", hash = "sha256:fe87d94602624f8f25fff9a0a7b47f33756c4d9fc32b6d3308bb142aa483b8a4"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2d665380503a575dda52eb712ea521f789e8f8fd629c7a8e6c0f8ff480febc78"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:c0f0dd022b8a7cbf3c891f6de96a80ab6a426f1069a085327816cea749e096c2"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:bf1ba22d36858b265c95cd774ba7fe8991e80a99cd86fe4f388605b01aee81a3"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:ca1c1494ac9f9386d37f0e50cbaf4d07d184903aed7691549df1b37e9616edc9"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9e4b12e921b0fa90d7c2248742a536f21eae5562174090b83edd0b4ab8b557d7"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-win32.whl", hash = "sha256:5e1c1f2292baa4049535b07e9e81feb29e3650d2ba35ee491e64aca7ae4cb15e"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:59a8694beb9a13c4090ab3d1712cabbd896c6949706d1364e2a2e1713c413760"}, + {file = "rapidfuzz-3.14.1-cp310-cp310-win_arm64.whl", hash = "sha256:e94cee93faa792572c574a615abe12912124b4ffcf55876b72312914ab663345"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4d976701060886a791c8a9260b1d4139d14c1f1e9a6ab6116b45a1acf3baff67"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5e6ba7e6eb2ab03870dcab441d707513db0b4264c12fba7b703e90e8b4296df2"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e532bf46de5fd3a1efde73a16a4d231d011bce401c72abe3c6ecf9de681003f"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f9b6a6fb8ed9b951e5f3b82c1ce6b1665308ec1a0da87f799b16e24fc59e4662"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5b6ac3f9810949caef0e63380b11a3c32a92f26bacb9ced5e32c33560fcdf8d1"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e52e4c34fd567f77513e886b66029c1ae02f094380d10eba18ba1c68a46d8b90"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-manylinux_2_31_armv7l.whl", hash = "sha256:2ef72e41b1a110149f25b14637f1cedea6df192462120bea3433980fe9d8ac05"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fb654a35b373d712a6b0aa2a496b2b5cdd9d32410cfbaecc402d7424a90ba72a"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:2b2c12e5b9eb8fe9a51b92fe69e9ca362c0970e960268188a6d295e1dec91e6d"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:4f069dec5c450bd987481e752f0a9979e8fdf8e21e5307f5058f5c4bb162fa56"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:4d0d9163725b7ad37a8c46988cae9ebab255984db95ad01bf1987ceb9e3058dd"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db656884b20b213d846f6bc990c053d1f4a60e6d4357f7211775b02092784ca1"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-win32.whl", hash = "sha256:4b42f7b9c58cbcfbfaddc5a6278b4ca3b6cd8983e7fd6af70ca791dff7105fb9"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:e5847f30d7d4edefe0cb37294d956d3495dd127c1c56e9128af3c2258a520bb4"}, + {file = "rapidfuzz-3.14.1-cp311-cp311-win_arm64.whl", hash = "sha256:5087d8ad453092d80c042a08919b1cb20c8ad6047d772dc9312acd834da00f75"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:809515194f628004aac1b1b280c3734c5ea0ccbd45938c9c9656a23ae8b8f553"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0afcf2d6cb633d0d4260d8df6a40de2d9c93e9546e2c6b317ab03f89aa120ad7"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5c1c3d07d53dcafee10599da8988d2b1f39df236aee501ecbd617bd883454fcd"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6e9ee3e1eb0a027717ee72fe34dc9ac5b3e58119f1bd8dd15bc19ed54ae3e62b"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:70c845b64a033a20c44ed26bc890eeb851215148cc3e696499f5f65529afb6cb"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:26db0e815213d04234298dea0d884d92b9cb8d4ba954cab7cf67a35853128a33"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-manylinux_2_31_armv7l.whl", hash = "sha256:6ad3395a416f8b126ff11c788531f157c7debeb626f9d897c153ff8980da10fb"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:61c5b9ab6f730e6478aa2def566223712d121c6f69a94c7cc002044799442afd"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:13e0ea3d0c533969158727d1bb7a08c2cc9a816ab83f8f0dcfde7e38938ce3e6"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:6325ca435b99f4001aac919ab8922ac464999b100173317defb83eae34e82139"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:07a9fad3247e68798424bdc116c1094e88ecfabc17b29edf42a777520347648e"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f8ff5dbe78db0a10c1f916368e21d328935896240f71f721e073cf6c4c8cdedd"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-win32.whl", hash = "sha256:9c83270e44a6ae7a39fc1d7e72a27486bccc1fa5f34e01572b1b90b019e6b566"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:e06664c7fdb51c708e082df08a6888fce4c5c416d7e3cc2fa66dd80eb76a149d"}, + {file = "rapidfuzz-3.14.1-cp312-cp312-win_arm64.whl", hash = "sha256:6c7c26025f7934a169a23dafea6807cfc3fb556f1dd49229faf2171e5d8101cc"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8d69f470d63ee824132ecd80b1974e1d15dd9df5193916901d7860cef081a260"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6f571d20152fc4833b7b5e781b36d5e4f31f3b5a596a3d53cf66a1bd4436b4f4"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:61d77e09b2b6bc38228f53b9ea7972a00722a14a6048be9a3672fb5cb08bad3a"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:8b41d95ef86a6295d353dc3bb6c80550665ba2c3bef3a9feab46074d12a9af8f"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0591df2e856ad583644b40a2b99fb522f93543c65e64b771241dda6d1cfdc96b"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f277801f55b2f3923ef2de51ab94689a0671a4524bf7b611de979f308a54cd6f"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-manylinux_2_31_armv7l.whl", hash = "sha256:893fdfd4f66ebb67f33da89eb1bd1674b7b30442fdee84db87f6cb9074bf0ce9"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:fe2651258c1f1afa9b66f44bf82f639d5f83034f9804877a1bbbae2120539ad1"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:ace21f7a78519d8e889b1240489cd021c5355c496cb151b479b741a4c27f0a25"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:cb5acf24590bc5e57027283b015950d713f9e4d155fda5cfa71adef3b3a84502"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:67ea46fa8cc78174bad09d66b9a4b98d3068e85de677e3c71ed931a1de28171f"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:44e741d785de57d1a7bae03599c1cbc7335d0b060a35e60c44c382566e22782e"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-win32.whl", hash = "sha256:b1fe6001baa9fa36bcb565e24e88830718f6c90896b91ceffcb48881e3adddbc"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:83b8cc6336709fa5db0579189bfd125df280a554af544b2dc1c7da9cdad7e44d"}, + {file = "rapidfuzz-3.14.1-cp313-cp313-win_arm64.whl", hash = "sha256:cf75769662eadf5f9bd24e865c19e5ca7718e879273dce4e7b3b5824c4da0eb4"}, + {file = "rapidfuzz-3.14.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:d937dbeda71c921ef6537c6d41a84f1b8112f107589c9977059de57a1d726dd6"}, + {file = "rapidfuzz-3.14.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7a2d80cc1a4fcc7e259ed4f505e70b36433a63fa251f1bb69ff279fe376c5efd"}, + {file = "rapidfuzz-3.14.1-cp313-cp313t-win32.whl", hash = "sha256:40875e0c06f1a388f1cab3885744f847b557e0b1642dfc31ff02039f9f0823ef"}, + {file = "rapidfuzz-3.14.1-cp313-cp313t-win_amd64.whl", hash = "sha256:876dc0c15552f3d704d7fb8d61bdffc872ff63bedf683568d6faad32e51bbce8"}, + {file = "rapidfuzz-3.14.1-cp313-cp313t-win_arm64.whl", hash = "sha256:61458e83b0b3e2abc3391d0953c47d6325e506ba44d6a25c869c4401b3bc222c"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:e84d9a844dc2e4d5c4cabd14c096374ead006583304333c14a6fbde51f612a44"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:40301b93b99350edcd02dbb22e37ca5f2a75d0db822e9b3c522da451a93d6f27"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fedd5097a44808dddf341466866e5c57a18a19a336565b4ff50aa8f09eb528f6"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2e3e61c9e80d8c26709d8aa5c51fdd25139c81a4ab463895f8a567f8347b0548"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:da011a373722fac6e64687297a1d17dc8461b82cb12c437845d5a5b161bc24b9"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5967d571243cfb9ad3710e6e628ab68c421a237b76e24a67ac22ee0ff12784d6"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-manylinux_2_31_armv7l.whl", hash = "sha256:474f416cbb9099676de54aa41944c154ba8d25033ee460f87bb23e54af6d01c9"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ae2d57464b59297f727c4e201ea99ec7b13935f1f056c753e8103da3f2fc2404"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:57047493a1f62f11354c7143c380b02f1b355c52733e6b03adb1cb0fe8fb8816"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:4acc20776f225ee37d69517a237c090b9fa7e0836a0b8bc58868e9168ba6ef6f"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:4373f914ff524ee0146919dea96a40a8200ab157e5a15e777a74a769f73d8a4a"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:37017b84953927807847016620d61251fe236bd4bcb25e27b6133d955bb9cafb"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-win32.whl", hash = "sha256:c8d1dd1146539e093b84d0805e8951475644af794ace81d957ca612e3eb31598"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-win_amd64.whl", hash = "sha256:f51c7571295ea97387bac4f048d73cecce51222be78ed808263b45c79c40a440"}, + {file = "rapidfuzz-3.14.1-cp314-cp314-win_arm64.whl", hash = "sha256:01eab10ec90912d7d28b3f08f6c91adbaf93458a53f849ff70776ecd70dd7a7a"}, + {file = "rapidfuzz-3.14.1-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:60879fcae2f7618403c4c746a9a3eec89327d73148fb6e89a933b78442ff0669"}, + {file = "rapidfuzz-3.14.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:f94d61e44db3fc95a74006a394257af90fa6e826c900a501d749979ff495d702"}, + {file = "rapidfuzz-3.14.1-cp314-cp314t-win32.whl", hash = "sha256:93b6294a3ffab32a9b5f9b5ca048fa0474998e7e8bb0f2d2b5e819c64cb71ec7"}, + {file = "rapidfuzz-3.14.1-cp314-cp314t-win_amd64.whl", hash = "sha256:6cb56b695421538fdbe2c0c85888b991d833b8637d2f2b41faa79cea7234c000"}, + {file = "rapidfuzz-3.14.1-cp314-cp314t-win_arm64.whl", hash = "sha256:7cd312c380d3ce9d35c3ec9726b75eee9da50e8a38e89e229a03db2262d3d96b"}, + {file = "rapidfuzz-3.14.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:673ce55a9be5b772dade911909e42382c0828b8a50ed7f9168763fa6b9f7054d"}, + {file = "rapidfuzz-3.14.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:45c62ada1980ebf4c64c4253993cc8daa018c63163f91db63bb3af69cb74c2e3"}, + {file = "rapidfuzz-3.14.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4d51efb29c0df0d4f7f64f672a7624c2146527f0745e3572098d753676538800"}, + {file = "rapidfuzz-3.14.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4a21ccdf1bd7d57a1009030527ba8fae1c74bf832d0a08f6b67de8f5c506c96f"}, + {file = "rapidfuzz-3.14.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:589fb0af91d3aff318750539c832ea1100dbac2c842fde24e42261df443845f6"}, + {file = "rapidfuzz-3.14.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:a4f18092db4825f2517d135445015b40033ed809a41754918a03ef062abe88a0"}, + {file = "rapidfuzz-3.14.1.tar.gz", hash = "sha256:b02850e7f7152bd1edff27e9d584505b84968cacedee7a734ec4050c655a803c"}, +] + +[package.extras] +all = ["numpy"] + +[[package]] +name = "referencing" +version = "0.36.2" +description = "JSON Referencing + Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"}, + {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +rpds-py = ">=0.7.0" +typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""} + +[[package]] +name = "regex" +version = "2025.9.1" +description = "Alternative regular expression module, to replace re." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "regex-2025.9.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5aa2a6a73bf218515484b36a0d20c6ad9dc63f6339ff6224147b0e2c095ee55"}, + {file = "regex-2025.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8c2ff5c01d5e47ad5fc9d31bcd61e78c2fa0068ed00cab86b7320214446da766"}, + {file = "regex-2025.9.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d49dc84e796b666181de8a9973284cad6616335f01b52bf099643253094920fc"}, + {file = "regex-2025.9.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d9914fe1040874f83c15fcea86d94ea54091b0666eab330aaab69e30d106aabe"}, + {file = "regex-2025.9.1-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:e71bceb3947362ec5eabd2ca0870bb78eae4edfc60c6c21495133c01b6cd2df4"}, + {file = "regex-2025.9.1-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:67a74456f410fe5e869239ee7a5423510fe5121549af133809d9591a8075893f"}, + {file = "regex-2025.9.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5c3b96ed0223b32dbdc53a83149b6de7ca3acd5acd9c8e64b42a166228abe29c"}, + {file = "regex-2025.9.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:113d5aa950f428faf46fd77d452df62ebb4cc6531cb619f6cc30a369d326bfbd"}, + {file = "regex-2025.9.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:fcdeb38de4f7f3d69d798f4f371189061446792a84e7c92b50054c87aae9c07c"}, + {file = "regex-2025.9.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:4bcdff370509164b67a6c8ec23c9fb40797b72a014766fdc159bb809bd74f7d8"}, + {file = "regex-2025.9.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:7383efdf6e8e8c61d85e00cfb2e2e18da1a621b8bfb4b0f1c2747db57b942b8f"}, + {file = "regex-2025.9.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1ec2bd3bdf0f73f7e9f48dca550ba7d973692d5e5e9a90ac42cc5f16c4432d8b"}, + {file = "regex-2025.9.1-cp310-cp310-win32.whl", hash = "sha256:9627e887116c4e9c0986d5c3b4f52bcfe3df09850b704f62ec3cbf177a0ae374"}, + {file = "regex-2025.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:94533e32dc0065eca43912ee6649c90ea0681d59f56d43c45b5bcda9a740b3dd"}, + {file = "regex-2025.9.1-cp310-cp310-win_arm64.whl", hash = "sha256:a874a61bb580d48642ffd338570ee24ab13fa023779190513fcacad104a6e251"}, + {file = "regex-2025.9.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e5bcf112b09bfd3646e4db6bf2e598534a17d502b0c01ea6550ba4eca780c5e6"}, + {file = "regex-2025.9.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:67a0295a3c31d675a9ee0238d20238ff10a9a2fdb7a1323c798fc7029578b15c"}, + {file = "regex-2025.9.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ea8267fbadc7d4bd7c1301a50e85c2ff0de293ff9452a1a9f8d82c6cafe38179"}, + {file = "regex-2025.9.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6aeff21de7214d15e928fb5ce757f9495214367ba62875100d4c18d293750cc1"}, + {file = "regex-2025.9.1-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:d89f1bbbbbc0885e1c230f7770d5e98f4f00b0ee85688c871d10df8b184a6323"}, + {file = "regex-2025.9.1-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ca3affe8ddea498ba9d294ab05f5f2d3b5ad5d515bc0d4a9016dd592a03afe52"}, + {file = "regex-2025.9.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:91892a7a9f0a980e4c2c85dd19bc14de2b219a3a8867c4b5664b9f972dcc0c78"}, + {file = "regex-2025.9.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e1cb40406f4ae862710615f9f636c1e030fd6e6abe0e0f65f6a695a2721440c6"}, + {file = "regex-2025.9.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:94f6cff6f7e2149c7e6499a6ecd4695379eeda8ccbccb9726e8149f2fe382e92"}, + {file = "regex-2025.9.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:6c0226fb322b82709e78c49cc33484206647f8a39954d7e9de1567f5399becd0"}, + {file = "regex-2025.9.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a12f59c7c380b4fcf7516e9cbb126f95b7a9518902bcf4a852423ff1dcd03e6a"}, + {file = "regex-2025.9.1-cp311-cp311-win32.whl", hash = "sha256:49865e78d147a7a4f143064488da5d549be6bfc3f2579e5044cac61f5c92edd4"}, + {file = "regex-2025.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:d34b901f6f2f02ef60f4ad3855d3a02378c65b094efc4b80388a3aeb700a5de7"}, + {file = "regex-2025.9.1-cp311-cp311-win_arm64.whl", hash = "sha256:47d7c2dab7e0b95b95fd580087b6ae196039d62306a592fa4e162e49004b6299"}, + {file = "regex-2025.9.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:84a25164bd8dcfa9f11c53f561ae9766e506e580b70279d05a7946510bdd6f6a"}, + {file = "regex-2025.9.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:645e88a73861c64c1af558dd12294fb4e67b5c1eae0096a60d7d8a2143a611c7"}, + {file = "regex-2025.9.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:10a450cba5cd5409526ee1d4449f42aad38dd83ac6948cbd6d7f71ca7018f7db"}, + {file = "regex-2025.9.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e9dc5991592933a4192c166eeb67b29d9234f9c86344481173d1bc52f73a7104"}, + {file = "regex-2025.9.1-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a32291add816961aab472f4fad344c92871a2ee33c6c219b6598e98c1f0108f2"}, + {file = "regex-2025.9.1-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:588c161a68a383478e27442a678e3b197b13c5ba51dbba40c1ccb8c4c7bee9e9"}, + {file = "regex-2025.9.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:47829ffaf652f30d579534da9085fe30c171fa2a6744a93d52ef7195dc38218b"}, + {file = "regex-2025.9.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1e978e5a35b293ea43f140c92a3269b6ab13fe0a2bf8a881f7ac740f5a6ade85"}, + {file = "regex-2025.9.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4cf09903e72411f4bf3ac1eddd624ecfd423f14b2e4bf1c8b547b72f248b7bf7"}, + {file = "regex-2025.9.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:d016b0f77be63e49613c9e26aaf4a242f196cd3d7a4f15898f5f0ab55c9b24d2"}, + {file = "regex-2025.9.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:656563e620de6908cd1c9d4f7b9e0777e3341ca7db9d4383bcaa44709c90281e"}, + {file = "regex-2025.9.1-cp312-cp312-win32.whl", hash = "sha256:df33f4ef07b68f7ab637b1dbd70accbf42ef0021c201660656601e8a9835de45"}, + {file = "regex-2025.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:5aba22dfbc60cda7c0853516104724dc904caa2db55f2c3e6e984eb858d3edf3"}, + {file = "regex-2025.9.1-cp312-cp312-win_arm64.whl", hash = "sha256:ec1efb4c25e1849c2685fa95da44bfde1b28c62d356f9c8d861d4dad89ed56e9"}, + {file = "regex-2025.9.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:bc6834727d1b98d710a63e6c823edf6ffbf5792eba35d3fa119531349d4142ef"}, + {file = "regex-2025.9.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c3dc05b6d579875719bccc5f3037b4dc80433d64e94681a0061845bd8863c025"}, + {file = "regex-2025.9.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:22213527df4c985ec4a729b055a8306272d41d2f45908d7bacb79be0fa7a75ad"}, + {file = "regex-2025.9.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8e3f6e3c5a5a1adc3f7ea1b5aec89abfc2f4fbfba55dafb4343cd1d084f715b2"}, + {file = "regex-2025.9.1-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bcb89c02a0d6c2bec9b0bb2d8c78782699afe8434493bfa6b4021cc51503f249"}, + {file = "regex-2025.9.1-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b0e2f95413eb0c651cd1516a670036315b91b71767af83bc8525350d4375ccba"}, + {file = "regex-2025.9.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:09a41dc039e1c97d3c2ed3e26523f748e58c4de3ea7a31f95e1cf9ff973fff5a"}, + {file = "regex-2025.9.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4f0b4258b161094f66857a26ee938d3fe7b8a5063861e44571215c44fbf0e5df"}, + {file = "regex-2025.9.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bf70e18ac390e6977ea7e56f921768002cb0fa359c4199606c7219854ae332e0"}, + {file = "regex-2025.9.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:b84036511e1d2bb0a4ff1aec26951caa2dea8772b223c9e8a19ed8885b32dbac"}, + {file = "regex-2025.9.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:c2e05dcdfe224047f2a59e70408274c325d019aad96227ab959403ba7d58d2d7"}, + {file = "regex-2025.9.1-cp313-cp313-win32.whl", hash = "sha256:3b9a62107a7441b81ca98261808fed30ae36ba06c8b7ee435308806bd53c1ed8"}, + {file = "regex-2025.9.1-cp313-cp313-win_amd64.whl", hash = "sha256:b38afecc10c177eb34cfae68d669d5161880849ba70c05cbfbe409f08cc939d7"}, + {file = "regex-2025.9.1-cp313-cp313-win_arm64.whl", hash = "sha256:ec329890ad5e7ed9fc292858554d28d58d56bf62cf964faf0aa57964b21155a0"}, + {file = "regex-2025.9.1-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:72fb7a016467d364546f22b5ae86c45680a4e0de6b2a6f67441d22172ff641f1"}, + {file = "regex-2025.9.1-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:c9527fa74eba53f98ad86be2ba003b3ebe97e94b6eb2b916b31b5f055622ef03"}, + {file = "regex-2025.9.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c905d925d194c83a63f92422af7544ec188301451b292c8b487f0543726107ca"}, + {file = "regex-2025.9.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:74df7c74a63adcad314426b1f4ea6054a5ab25d05b0244f0c07ff9ce640fa597"}, + {file = "regex-2025.9.1-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:4f6e935e98ea48c7a2e8be44494de337b57a204470e7f9c9c42f912c414cd6f5"}, + {file = "regex-2025.9.1-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:4a62d033cd9ebefc7c5e466731a508dfabee827d80b13f455de68a50d3c2543d"}, + {file = "regex-2025.9.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ef971ebf2b93bdc88d8337238be4dfb851cc97ed6808eb04870ef67589415171"}, + {file = "regex-2025.9.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d936a1db208bdca0eca1f2bb2c1ba1d8370b226785c1e6db76e32a228ffd0ad5"}, + {file = "regex-2025.9.1-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:7e786d9e4469698fc63815b8de08a89165a0aa851720eb99f5e0ea9d51dd2b6a"}, + {file = "regex-2025.9.1-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:6b81d7dbc5466ad2c57ce3a0ddb717858fe1a29535c8866f8514d785fdb9fc5b"}, + {file = "regex-2025.9.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:cd4890e184a6feb0ef195338a6ce68906a8903a0f2eb7e0ab727dbc0a3156273"}, + {file = "regex-2025.9.1-cp314-cp314-win32.whl", hash = "sha256:34679a86230e46164c9e0396b56cab13c0505972343880b9e705083cc5b8ec86"}, + {file = "regex-2025.9.1-cp314-cp314-win_amd64.whl", hash = "sha256:a1196e530a6bfa5f4bde029ac5b0295a6ecfaaffbfffede4bbaf4061d9455b70"}, + {file = "regex-2025.9.1-cp314-cp314-win_arm64.whl", hash = "sha256:f46d525934871ea772930e997d577d48c6983e50f206ff7b66d4ac5f8941e993"}, + {file = "regex-2025.9.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a13d20007dce3c4b00af5d84f6c191ed1c0f70928c6d9b6cd7b8d2f125df7f46"}, + {file = "regex-2025.9.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d6b046b0a01cb713fd53ef36cb59db4b0062b343db28e83b52ac6aa01ee5b368"}, + {file = "regex-2025.9.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0fa9a7477288717f42dbd02ff5d13057549e9a8cdb81f224c313154cc10bab52"}, + {file = "regex-2025.9.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2b3ad150c6bc01a8cd5030040675060e2adbe6cbc50aadc4da42c6d32ec266e"}, + {file = "regex-2025.9.1-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:aa88d5a82dfe80deaf04e8c39c8b0ad166d5d527097eb9431cb932c44bf88715"}, + {file = "regex-2025.9.1-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6f1dae2cf6c2dbc6fd2526653692c144721b3cf3f769d2a3c3aa44d0f38b9a58"}, + {file = "regex-2025.9.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ff62a3022914fc19adaa76b65e03cf62bc67ea16326cbbeb170d280710a7d719"}, + {file = "regex-2025.9.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a34ef82216189d823bc82f614d1031cb0b919abef27cecfd7b07d1e9a8bdeeb4"}, + {file = "regex-2025.9.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:6d40e6b49daae9ebbd7fa4e600697372cba85b826592408600068e83a3c47211"}, + {file = "regex-2025.9.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:0aeb0fe80331059c152a002142699a89bf3e44352aee28261315df0c9874759b"}, + {file = "regex-2025.9.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:a90014d29cb3098403d82a879105d1418edbbdf948540297435ea6e377023ea7"}, + {file = "regex-2025.9.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6ff623271e0b0cc5a95b802666bbd70f17ddd641582d65b10fb260cc0c003529"}, + {file = "regex-2025.9.1-cp39-cp39-win32.whl", hash = "sha256:d161bfdeabe236290adfd8c7588da7f835d67e9e7bf2945f1e9e120622839ba6"}, + {file = "regex-2025.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:43ebc77a7dfe36661192afd8d7df5e8be81ec32d2ad0c65b536f66ebfec3dece"}, + {file = "regex-2025.9.1-cp39-cp39-win_arm64.whl", hash = "sha256:5d74b557cf5554001a869cda60b9a619be307df4d10155894aeaad3ee67c9899"}, + {file = "regex-2025.9.1.tar.gz", hash = "sha256:88ac07b38d20b54d79e704e38aa3bd2c0f8027432164226bdee201a1c0c9c9ff"}, +] + +[[package]] +name = "requests" +version = "2.32.3" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, + {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + +[[package]] +name = "requests-oauthlib" +version = "2.0.0" +description = "OAuthlib authentication support for Requests." +optional = false +python-versions = ">=3.4" +groups = ["main"] +files = [ + {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"}, + {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"}, +] + +[package.dependencies] +oauthlib = ">=3.0.0" +requests = ">=2.0.0" + +[package.extras] +rsa = ["oauthlib[signedtoken] (>=3.0.0)"] + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +description = "A pure python RFC3339 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["main"] +files = [ + {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, + {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, +] + +[package.dependencies] +six = "*" + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +description = "Pure python rfc3986 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["main"] +files = [ + {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, + {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, +] + +[[package]] +name = "rfc3987-syntax" +version = "1.1.0" +description = "Helper functions to syntactically validate strings according to RFC 3987." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f"}, + {file = "rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d"}, +] + +[package.dependencies] +lark = ">=1.2.2" + +[package.extras] +testing = ["pytest (>=8.3.5)"] + +[[package]] +name = "rich" +version = "14.1.0" +description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" +files = [ + {file = "rich-14.1.0-py3-none-any.whl", hash = "sha256:536f5f1785986d6dbdea3c75205c473f970777b4a0d6c6dd1b696aa05a3fa04f"}, + {file = "rich-14.1.0.tar.gz", hash = "sha256:e497a48b844b0320d45007cdebfeaeed8db2a4f4bcf49f15e455cfc4af11eaa8"}, +] + +[package.dependencies] +markdown-it-py = ">=2.2.0" +pygments = ">=2.13.0,<3.0.0" + +[package.extras] +jupyter = ["ipywidgets (>=7.5.1,<9)"] + +[[package]] +name = "rpds-py" +version = "0.27.1" +description = "Python bindings to Rust's persistent data structures (rpds)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "rpds_py-0.27.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:68afeec26d42ab3b47e541b272166a0b4400313946871cba3ed3a4fc0cab1cef"}, + {file = "rpds_py-0.27.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74e5b2f7bb6fa38b1b10546d27acbacf2a022a8b5543efb06cfebc72a59c85be"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9024de74731df54546fab0bfbcdb49fae19159ecaecfc8f37c18d2c7e2c0bd61"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:31d3ebadefcd73b73928ed0b2fd696f7fefda8629229f81929ac9c1854d0cffb"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b2e7f8f169d775dd9092a1743768d771f1d1300453ddfe6325ae3ab5332b4657"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d905d16f77eb6ab2e324e09bfa277b4c8e5e6b8a78a3e7ff8f3cdf773b4c013"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50c946f048209e6362e22576baea09193809f87687a95a8db24e5fbdb307b93a"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:3deab27804d65cd8289eb814c2c0e807c4b9d9916c9225e363cb0cf875eb67c1"}, + {file = "rpds_py-0.27.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8b61097f7488de4be8244c89915da8ed212832ccf1e7c7753a25a394bf9b1f10"}, + {file = "rpds_py-0.27.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8a3f29aba6e2d7d90528d3c792555a93497fe6538aa65eb675b44505be747808"}, + {file = "rpds_py-0.27.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd6cd0485b7d347304067153a6dc1d73f7d4fd995a396ef32a24d24b8ac63ac8"}, + {file = "rpds_py-0.27.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6f4461bf931108c9fa226ffb0e257c1b18dc2d44cd72b125bec50ee0ab1248a9"}, + {file = "rpds_py-0.27.1-cp310-cp310-win32.whl", hash = "sha256:ee5422d7fb21f6a00c1901bf6559c49fee13a5159d0288320737bbf6585bd3e4"}, + {file = "rpds_py-0.27.1-cp310-cp310-win_amd64.whl", hash = "sha256:3e039aabf6d5f83c745d5f9a0a381d031e9ed871967c0a5c38d201aca41f3ba1"}, + {file = "rpds_py-0.27.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:be898f271f851f68b318872ce6ebebbc62f303b654e43bf72683dbdc25b7c881"}, + {file = "rpds_py-0.27.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:62ac3d4e3e07b58ee0ddecd71d6ce3b1637de2d373501412df395a0ec5f9beb5"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4708c5c0ceb2d034f9991623631d3d23cb16e65c83736ea020cdbe28d57c0a0e"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:abfa1171a9952d2e0002aba2ad3780820b00cc3d9c98c6630f2e93271501f66c"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4b507d19f817ebaca79574b16eb2ae412e5c0835542c93fe9983f1e432aca195"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:168b025f8fd8d8d10957405f3fdcef3dc20f5982d398f90851f4abc58c566c52"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb56c6210ef77caa58e16e8c17d35c63fe3f5b60fd9ba9d424470c3400bcf9ed"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:d252f2d8ca0195faa707f8eb9368955760880b2b42a8ee16d382bf5dd807f89a"}, + {file = "rpds_py-0.27.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6e5e54da1e74b91dbc7996b56640f79b195d5925c2b78efaa8c5d53e1d88edde"}, + {file = "rpds_py-0.27.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ffce0481cc6e95e5b3f0a47ee17ffbd234399e6d532f394c8dce320c3b089c21"}, + {file = "rpds_py-0.27.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:a205fdfe55c90c2cd8e540ca9ceba65cbe6629b443bc05db1f590a3db8189ff9"}, + {file = "rpds_py-0.27.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:689fb5200a749db0415b092972e8eba85847c23885c8543a8b0f5c009b1a5948"}, + {file = "rpds_py-0.27.1-cp311-cp311-win32.whl", hash = "sha256:3182af66048c00a075010bc7f4860f33913528a4b6fc09094a6e7598e462fe39"}, + {file = "rpds_py-0.27.1-cp311-cp311-win_amd64.whl", hash = "sha256:b4938466c6b257b2f5c4ff98acd8128ec36b5059e5c8f8372d79316b1c36bb15"}, + {file = "rpds_py-0.27.1-cp311-cp311-win_arm64.whl", hash = "sha256:2f57af9b4d0793e53266ee4325535a31ba48e2f875da81a9177c9926dfa60746"}, + {file = "rpds_py-0.27.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:ae2775c1973e3c30316892737b91f9283f9908e3cc7625b9331271eaaed7dc90"}, + {file = "rpds_py-0.27.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2643400120f55c8a96f7c9d858f7be0c88d383cd4653ae2cf0d0c88f668073e5"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16323f674c089b0360674a4abd28d5042947d54ba620f72514d69be4ff64845e"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9a1f4814b65eacac94a00fc9a526e3fdafd78e439469644032032d0d63de4881"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7ba32c16b064267b22f1850a34051121d423b6f7338a12b9459550eb2096e7ec"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5c20f33fd10485b80f65e800bbe5f6785af510b9f4056c5a3c612ebc83ba6cb"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:466bfe65bd932da36ff279ddd92de56b042f2266d752719beb97b08526268ec5"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:41e532bbdcb57c92ba3be62c42e9f096431b4cf478da9bc3bc6ce5c38ab7ba7a"}, + {file = "rpds_py-0.27.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f149826d742b406579466283769a8ea448eed82a789af0ed17b0cd5770433444"}, + {file = "rpds_py-0.27.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:80c60cfb5310677bd67cb1e85a1e8eb52e12529545441b43e6f14d90b878775a"}, + {file = "rpds_py-0.27.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:7ee6521b9baf06085f62ba9c7a3e5becffbc32480d2f1b351559c001c38ce4c1"}, + {file = "rpds_py-0.27.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a512c8263249a9d68cac08b05dd59d2b3f2061d99b322813cbcc14c3c7421998"}, + {file = "rpds_py-0.27.1-cp312-cp312-win32.whl", hash = "sha256:819064fa048ba01b6dadc5116f3ac48610435ac9a0058bbde98e569f9e785c39"}, + {file = "rpds_py-0.27.1-cp312-cp312-win_amd64.whl", hash = "sha256:d9199717881f13c32c4046a15f024971a3b78ad4ea029e8da6b86e5aa9cf4594"}, + {file = "rpds_py-0.27.1-cp312-cp312-win_arm64.whl", hash = "sha256:33aa65b97826a0e885ef6e278fbd934e98cdcfed80b63946025f01e2f5b29502"}, + {file = "rpds_py-0.27.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:e4b9fcfbc021633863a37e92571d6f91851fa656f0180246e84cbd8b3f6b329b"}, + {file = "rpds_py-0.27.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1441811a96eadca93c517d08df75de45e5ffe68aa3089924f963c782c4b898cf"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55266dafa22e672f5a4f65019015f90336ed31c6383bd53f5e7826d21a0e0b83"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d78827d7ac08627ea2c8e02c9e5b41180ea5ea1f747e9db0915e3adf36b62dcf"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae92443798a40a92dc5f0b01d8a7c93adde0c4dc965310a29ae7c64d72b9fad2"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c46c9dd2403b66a2a3b9720ec4b74d4ab49d4fabf9f03dfdce2d42af913fe8d0"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2efe4eb1d01b7f5f1939f4ef30ecea6c6b3521eec451fb93191bf84b2a522418"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:15d3b4d83582d10c601f481eca29c3f138d44c92187d197aff663a269197c02d"}, + {file = "rpds_py-0.27.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4ed2e16abbc982a169d30d1a420274a709949e2cbdef119fe2ec9d870b42f274"}, + {file = "rpds_py-0.27.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a75f305c9b013289121ec0f1181931975df78738cdf650093e6b86d74aa7d8dd"}, + {file = "rpds_py-0.27.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:67ce7620704745881a3d4b0ada80ab4d99df390838839921f99e63c474f82cf2"}, + {file = "rpds_py-0.27.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9d992ac10eb86d9b6f369647b6a3f412fc0075cfd5d799530e84d335e440a002"}, + {file = "rpds_py-0.27.1-cp313-cp313-win32.whl", hash = "sha256:4f75e4bd8ab8db624e02c8e2fc4063021b58becdbe6df793a8111d9343aec1e3"}, + {file = "rpds_py-0.27.1-cp313-cp313-win_amd64.whl", hash = "sha256:f9025faafc62ed0b75a53e541895ca272815bec18abe2249ff6501c8f2e12b83"}, + {file = "rpds_py-0.27.1-cp313-cp313-win_arm64.whl", hash = "sha256:ed10dc32829e7d222b7d3b93136d25a406ba9788f6a7ebf6809092da1f4d279d"}, + {file = "rpds_py-0.27.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:92022bbbad0d4426e616815b16bc4127f83c9a74940e1ccf3cfe0b387aba0228"}, + {file = "rpds_py-0.27.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:47162fdab9407ec3f160805ac3e154df042e577dd53341745fc7fb3f625e6d92"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb89bec23fddc489e5d78b550a7b773557c9ab58b7946154a10a6f7a214a48b2"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e48af21883ded2b3e9eb48cb7880ad8598b31ab752ff3be6457001d78f416723"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6f5b7bd8e219ed50299e58551a410b64daafb5017d54bbe822e003856f06a802"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08f1e20bccf73b08d12d804d6e1c22ca5530e71659e6673bce31a6bb71c1e73f"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dc5dceeaefcc96dc192e3a80bbe1d6c410c469e97bdd47494a7d930987f18b2"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:d76f9cc8665acdc0c9177043746775aa7babbf479b5520b78ae4002d889f5c21"}, + {file = "rpds_py-0.27.1-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:134fae0e36022edad8290a6661edf40c023562964efea0cc0ec7f5d392d2aaef"}, + {file = "rpds_py-0.27.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:eb11a4f1b2b63337cfd3b4d110af778a59aae51c81d195768e353d8b52f88081"}, + {file = "rpds_py-0.27.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:13e608ac9f50a0ed4faec0e90ece76ae33b34c0e8656e3dceb9a7db994c692cd"}, + {file = "rpds_py-0.27.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dd2135527aa40f061350c3f8f89da2644de26cd73e4de458e79606384f4f68e7"}, + {file = "rpds_py-0.27.1-cp313-cp313t-win32.whl", hash = "sha256:3020724ade63fe320a972e2ffd93b5623227e684315adce194941167fee02688"}, + {file = "rpds_py-0.27.1-cp313-cp313t-win_amd64.whl", hash = "sha256:8ee50c3e41739886606388ba3ab3ee2aae9f35fb23f833091833255a31740797"}, + {file = "rpds_py-0.27.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:acb9aafccaae278f449d9c713b64a9e68662e7799dbd5859e2c6b3c67b56d334"}, + {file = "rpds_py-0.27.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:b7fb801aa7f845ddf601c49630deeeccde7ce10065561d92729bfe81bd21fb33"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fe0dd05afb46597b9a2e11c351e5e4283c741237e7f617ffb3252780cca9336a"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b6dfb0e058adb12d8b1d1b25f686e94ffa65d9995a5157afe99743bf7369d62b"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ed090ccd235f6fa8bb5861684567f0a83e04f52dfc2e5c05f2e4b1309fcf85e7"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bf876e79763eecf3e7356f157540d6a093cef395b65514f17a356f62af6cc136"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:12ed005216a51b1d6e2b02a7bd31885fe317e45897de81d86dcce7d74618ffff"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:ee4308f409a40e50593c7e3bb8cbe0b4d4c66d1674a316324f0c2f5383b486f9"}, + {file = "rpds_py-0.27.1-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0b08d152555acf1f455154d498ca855618c1378ec810646fcd7c76416ac6dc60"}, + {file = "rpds_py-0.27.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:dce51c828941973a5684d458214d3a36fcd28da3e1875d659388f4f9f12cc33e"}, + {file = "rpds_py-0.27.1-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:c1476d6f29eb81aa4151c9a31219b03f1f798dc43d8af1250a870735516a1212"}, + {file = "rpds_py-0.27.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:3ce0cac322b0d69b63c9cdb895ee1b65805ec9ffad37639f291dd79467bee675"}, + {file = "rpds_py-0.27.1-cp314-cp314-win32.whl", hash = "sha256:dfbfac137d2a3d0725758cd141f878bf4329ba25e34979797c89474a89a8a3a3"}, + {file = "rpds_py-0.27.1-cp314-cp314-win_amd64.whl", hash = "sha256:a6e57b0abfe7cc513450fcf529eb486b6e4d3f8aee83e92eb5f1ef848218d456"}, + {file = "rpds_py-0.27.1-cp314-cp314-win_arm64.whl", hash = "sha256:faf8d146f3d476abfee026c4ae3bdd9ca14236ae4e4c310cbd1cf75ba33d24a3"}, + {file = "rpds_py-0.27.1-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:ba81d2b56b6d4911ce735aad0a1d4495e808b8ee4dc58715998741a26874e7c2"}, + {file = "rpds_py-0.27.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:84f7d509870098de0e864cad0102711c1e24e9b1a50ee713b65928adb22269e4"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9e960fc78fecd1100539f14132425e1d5fe44ecb9239f8f27f079962021523e"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:62f85b665cedab1a503747617393573995dac4600ff51869d69ad2f39eb5e817"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fed467af29776f6556250c9ed85ea5a4dd121ab56a5f8b206e3e7a4c551e48ec"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f2729615f9d430af0ae6b36cf042cb55c0936408d543fb691e1a9e36648fd35a"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b207d881a9aef7ba753d69c123a35d96ca7cb808056998f6b9e8747321f03b8"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:639fd5efec029f99b79ae47e5d7e00ad8a773da899b6309f6786ecaf22948c48"}, + {file = "rpds_py-0.27.1-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fecc80cb2a90e28af8a9b366edacf33d7a91cbfe4c2c4544ea1246e949cfebeb"}, + {file = "rpds_py-0.27.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:42a89282d711711d0a62d6f57d81aa43a1368686c45bc1c46b7f079d55692734"}, + {file = "rpds_py-0.27.1-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:cf9931f14223de59551ab9d38ed18d92f14f055a5f78c1d8ad6493f735021bbb"}, + {file = "rpds_py-0.27.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:f39f58a27cc6e59f432b568ed8429c7e1641324fbe38131de852cd77b2d534b0"}, + {file = "rpds_py-0.27.1-cp314-cp314t-win32.whl", hash = "sha256:d5fa0ee122dc09e23607a28e6d7b150da16c662e66409bbe85230e4c85bb528a"}, + {file = "rpds_py-0.27.1-cp314-cp314t-win_amd64.whl", hash = "sha256:6567d2bb951e21232c2f660c24cf3470bb96de56cdcb3f071a83feeaff8a2772"}, + {file = "rpds_py-0.27.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c918c65ec2e42c2a78d19f18c553d77319119bf43aa9e2edf7fb78d624355527"}, + {file = "rpds_py-0.27.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1fea2b1a922c47c51fd07d656324531adc787e415c8b116530a1d29c0516c62d"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bbf94c58e8e0cd6b6f38d8de67acae41b3a515c26169366ab58bdca4a6883bb8"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c2a8fed130ce946d5c585eddc7c8eeef0051f58ac80a8ee43bd17835c144c2cc"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:037a2361db72ee98d829bc2c5b7cc55598ae0a5e0ec1823a56ea99374cfd73c1"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5281ed1cc1d49882f9997981c88df1a22e140ab41df19071222f7e5fc4e72125"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2fd50659a069c15eef8aa3d64bbef0d69fd27bb4a50c9ab4f17f83a16cbf8905"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_31_riscv64.whl", hash = "sha256:c4b676c4ae3921649a15d28ed10025548e9b561ded473aa413af749503c6737e"}, + {file = "rpds_py-0.27.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:079bc583a26db831a985c5257797b2b5d3affb0386e7ff886256762f82113b5e"}, + {file = "rpds_py-0.27.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:4e44099bd522cba71a2c6b97f68e19f40e7d85399de899d66cdb67b32d7cb786"}, + {file = "rpds_py-0.27.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e202e6d4188e53c6661af813b46c37ca2c45e497fc558bacc1a7630ec2695aec"}, + {file = "rpds_py-0.27.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:f41f814b8eaa48768d1bb551591f6ba45f87ac76899453e8ccd41dba1289b04b"}, + {file = "rpds_py-0.27.1-cp39-cp39-win32.whl", hash = "sha256:9e71f5a087ead99563c11fdaceee83ee982fd39cf67601f4fd66cb386336ee52"}, + {file = "rpds_py-0.27.1-cp39-cp39-win_amd64.whl", hash = "sha256:71108900c9c3c8590697244b9519017a400d9ba26a36c48381b3f64743a44aab"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:7ba22cb9693df986033b91ae1d7a979bc399237d45fccf875b76f62bb9e52ddf"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5b640501be9288c77738b5492b3fd3abc4ba95c50c2e41273c8a1459f08298d3"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb08b65b93e0c6dd70aac7f7890a9c0938d5ec71d5cb32d45cf844fb8ae47636"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d7ff07d696a7a38152ebdb8212ca9e5baab56656749f3d6004b34ab726b550b8"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fb7c72262deae25366e3b6c0c0ba46007967aea15d1eea746e44ddba8ec58dcc"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7b002cab05d6339716b03a4a3a2ce26737f6231d7b523f339fa061d53368c9d8"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23f6b69d1c26c4704fec01311963a41d7de3ee0570a84ebde4d544e5a1859ffc"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:530064db9146b247351f2a0250b8f00b289accea4596a033e94be2389977de71"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7b90b0496570bd6b0321724a330d8b545827c4df2034b6ddfc5f5275f55da2ad"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:879b0e14a2da6a1102a3fc8af580fc1ead37e6d6692a781bd8c83da37429b5ab"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:0d807710df3b5faa66c731afa162ea29717ab3be17bdc15f90f2d9f183da4059"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:3adc388fc3afb6540aec081fa59e6e0d3908722771aa1e37ffe22b220a436f0b"}, + {file = "rpds_py-0.27.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c796c0c1cc68cb08b0284db4229f5af76168172670c74908fdbd4b7d7f515819"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:cdfe4bb2f9fe7458b7453ad3c33e726d6d1c7c0a72960bcc23800d77384e42df"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:8fabb8fd848a5f75a2324e4a84501ee3a5e3c78d8603f83475441866e60b94a3"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eda8719d598f2f7f3e0f885cba8646644b55a187762bec091fa14a2b819746a9"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3c64d07e95606ec402a0a1c511fe003873fa6af630bda59bac77fac8b4318ebc"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93a2ed40de81bcff59aabebb626562d48332f3d028ca2036f1d23cbb52750be4"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:387ce8c44ae94e0ec50532d9cb0edce17311024c9794eb196b90e1058aadeb66"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aaf94f812c95b5e60ebaf8bfb1898a7d7cb9c1af5744d4a67fa47796e0465d4e"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:4848ca84d6ded9b58e474dfdbad4b8bfb450344c0551ddc8d958bf4b36aa837c"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2bde09cbcf2248b73c7c323be49b280180ff39fadcfe04e7b6f54a678d02a7cf"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:94c44ee01fd21c9058f124d2d4f0c9dc7634bec93cd4b38eefc385dabe71acbf"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:df8b74962e35c9249425d90144e721eed198e6555a0e22a563d29fe4486b51f6"}, + {file = "rpds_py-0.27.1-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:dc23e6820e3b40847e2f4a7726462ba0cf53089512abe9ee16318c366494c17a"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:aa8933159edc50be265ed22b401125c9eebff3171f570258854dbce3ecd55475"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a50431bf02583e21bf273c71b89d710e7a710ad5e39c725b14e685610555926f"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78af06ddc7fe5cc0e967085a9115accee665fb912c22a3f54bad70cc65b05fe6"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:70d0738ef8fee13c003b100c2fbd667ec4f133468109b3472d249231108283a3"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2f6fd8a1cea5bbe599b6e78a6e5ee08db434fc8ffea51ff201c8765679698b3"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8177002868d1426305bb5de1e138161c2ec9eb2d939be38291d7c431c4712df8"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:008b839781d6c9bf3b6a8984d1d8e56f0ec46dc56df61fd669c49b58ae800400"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:a55b9132bb1ade6c734ddd2759c8dc132aa63687d259e725221f106b83a0e485"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a46fdec0083a26415f11d5f236b79fa1291c32aaa4a17684d82f7017a1f818b1"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:8a63b640a7845f2bdd232eb0d0a4a2dd939bcdd6c57e6bb134526487f3160ec5"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:7e32721e5d4922deaaf963469d795d5bde6093207c52fec719bd22e5d1bedbc4"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:2c426b99a068601b5f4623573df7a7c3d72e87533a2dd2253353a03e7502566c"}, + {file = "rpds_py-0.27.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:4fc9b7fe29478824361ead6e14e4f5aed570d477e06088826537e202d25fe859"}, + {file = "rpds_py-0.27.1.tar.gz", hash = "sha256:26a1c73171d10b7acccbded82bf6a586ab8203601e565badc74bbbf8bc5a10f8"}, +] + +[[package]] +name = "rsa" +version = "4.9.1" +description = "Pure-Python RSA implementation" +optional = false +python-versions = "<4,>=3.6" +groups = ["main"] +files = [ + {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"}, + {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"}, +] + +[package.dependencies] +pyasn1 = ">=0.1.3" + +[[package]] +name = "ruff" +version = "0.13.0" +description = "An extremely fast Python linter and code formatter, written in Rust." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" +files = [ + {file = "ruff-0.13.0-py3-none-linux_armv6l.whl", hash = "sha256:137f3d65d58ee828ae136a12d1dc33d992773d8f7644bc6b82714570f31b2004"}, + {file = "ruff-0.13.0-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:21ae48151b66e71fd111b7d79f9ad358814ed58c339631450c66a4be33cc28b9"}, + {file = "ruff-0.13.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:64de45f4ca5441209e41742d527944635a05a6e7c05798904f39c85bafa819e3"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2b2c653ae9b9d46e0ef62fc6fbf5b979bda20a0b1d2b22f8f7eb0cde9f4963b8"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4cec632534332062bc9eb5884a267b689085a1afea9801bf94e3ba7498a2d207"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dcd628101d9f7d122e120ac7c17e0a0f468b19bc925501dbe03c1cb7f5415b24"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:afe37db8e1466acb173bb2a39ca92df00570e0fd7c94c72d87b51b21bb63efea"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0f96a8d90bb258d7d3358b372905fe7333aaacf6c39e2408b9f8ba181f4b6ef2"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:94b5e3d883e4f924c5298e3f2ee0f3085819c14f68d1e5b6715597681433f153"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03447f3d18479df3d24917a92d768a89f873a7181a064858ea90a804a7538991"}, + {file = "ruff-0.13.0-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:fbc6b1934eb1c0033da427c805e27d164bb713f8e273a024a7e86176d7f462cf"}, + {file = "ruff-0.13.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:a8ab6a3e03665d39d4a25ee199d207a488724f022db0e1fe4002968abdb8001b"}, + {file = "ruff-0.13.0-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:d2a5c62f8ccc6dd2fe259917482de7275cecc86141ee10432727c4816235bc41"}, + {file = "ruff-0.13.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:b7b85ca27aeeb1ab421bc787009831cffe6048faae08ad80867edab9f2760945"}, + {file = "ruff-0.13.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:79ea0c44a3032af768cabfd9616e44c24303af49d633b43e3a5096e009ebe823"}, + {file = "ruff-0.13.0-py3-none-win32.whl", hash = "sha256:4e473e8f0e6a04e4113f2e1de12a5039579892329ecc49958424e5568ef4f768"}, + {file = "ruff-0.13.0-py3-none-win_amd64.whl", hash = "sha256:48e5c25c7a3713eea9ce755995767f4dcd1b0b9599b638b12946e892123d1efb"}, + {file = "ruff-0.13.0-py3-none-win_arm64.whl", hash = "sha256:ab80525317b1e1d38614addec8ac954f1b3e662de9d59114ecbf771d00cf613e"}, + {file = "ruff-0.13.0.tar.gz", hash = "sha256:5b4b1ee7eb35afae128ab94459b13b2baaed282b1fb0f472a73c82c996c8ae60"}, +] + +[[package]] +name = "safehttpx" +version = "0.1.6" +description = "A small Python library created to help developers protect their applications from Server Side Request Forgery (SSRF) attacks." +optional = false +python-versions = ">3.9" +groups = ["main"] +files = [ + {file = "safehttpx-0.1.6-py3-none-any.whl", hash = "sha256:407cff0b410b071623087c63dd2080c3b44dc076888d8c5823c00d1e58cb381c"}, + {file = "safehttpx-0.1.6.tar.gz", hash = "sha256:b356bfc82cee3a24c395b94a2dbeabbed60aff1aa5fa3b5fe97c4f2456ebce42"}, +] + +[package.dependencies] +httpx = "*" + +[package.extras] +dev = ["pytest"] + +[[package]] +name = "safetensors" +version = "0.6.2" +description = "" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "safetensors-0.6.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:9c85ede8ec58f120bad982ec47746981e210492a6db876882aa021446af8ffba"}, + {file = "safetensors-0.6.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d6675cf4b39c98dbd7d940598028f3742e0375a6b4d4277e76beb0c35f4b843b"}, + {file = "safetensors-0.6.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d2d2b3ce1e2509c68932ca03ab8f20570920cd9754b05063d4368ee52833ecd"}, + {file = "safetensors-0.6.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:93de35a18f46b0f5a6a1f9e26d91b442094f2df02e9fd7acf224cfec4238821a"}, + {file = "safetensors-0.6.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:89a89b505f335640f9120fac65ddeb83e40f1fd081cb8ed88b505bdccec8d0a1"}, + {file = "safetensors-0.6.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fc4d0d0b937e04bdf2ae6f70cd3ad51328635fe0e6214aa1fc811f3b576b3bda"}, + {file = "safetensors-0.6.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8045db2c872db8f4cbe3faa0495932d89c38c899c603f21e9b6486951a5ecb8f"}, + {file = "safetensors-0.6.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:81e67e8bab9878bb568cffbc5f5e655adb38d2418351dc0859ccac158f753e19"}, + {file = "safetensors-0.6.2-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:b0e4d029ab0a0e0e4fdf142b194514695b1d7d3735503ba700cf36d0fc7136ce"}, + {file = "safetensors-0.6.2-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:fa48268185c52bfe8771e46325a1e21d317207bcabcb72e65c6e28e9ffeb29c7"}, + {file = "safetensors-0.6.2-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:d83c20c12c2d2f465997c51b7ecb00e407e5f94d7dec3ea0cc11d86f60d3fde5"}, + {file = "safetensors-0.6.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:d944cea65fad0ead848b6ec2c37cc0b197194bec228f8020054742190e9312ac"}, + {file = "safetensors-0.6.2-cp38-abi3-win32.whl", hash = "sha256:cab75ca7c064d3911411461151cb69380c9225798a20e712b102edda2542ddb1"}, + {file = "safetensors-0.6.2-cp38-abi3-win_amd64.whl", hash = "sha256:c7b214870df923cbc1593c3faee16bec59ea462758699bd3fee399d00aac072c"}, + {file = "safetensors-0.6.2.tar.gz", hash = "sha256:43ff2aa0e6fa2dc3ea5524ac7ad93a9839256b8703761e76e2d0b2a3fa4f15d9"}, +] + +[package.extras] +all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"] +dev = ["safetensors[all]"] +jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"] +mlx = ["mlx (>=0.0.9)"] +numpy = ["numpy (>=1.21.6)"] +paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"] +pinned-tf = ["safetensors[numpy]", "tensorflow (==2.18.0)"] +quality = ["ruff"] +tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"] +testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"] +testingfree = ["huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"] +torch = ["safetensors[numpy]", "torch (>=1.10)"] + +[[package]] +name = "scikit-learn" +version = "1.7.2" +description = "A set of python modules for machine learning and data mining" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f"}, + {file = "scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c"}, + {file = "scikit_learn-1.7.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7a58814265dfc52b3295b1900cfb5701589d30a8bb026c7540f1e9d3499d5ec8"}, + {file = "scikit_learn-1.7.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a847fea807e278f821a0406ca01e387f97653e284ecbd9750e3ee7c90347f18"}, + {file = "scikit_learn-1.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:ca250e6836d10e6f402436d6463d6c0e4d8e0234cfb6a9a47835bd392b852ce5"}, + {file = "scikit_learn-1.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7509693451651cd7361d30ce4e86a1347493554f172b1c72a39300fa2aea79e"}, + {file = "scikit_learn-1.7.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1"}, + {file = "scikit_learn-1.7.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89877e19a80c7b11a2891a27c21c4894fb18e2c2e077815bcade10d34287b20d"}, + {file = "scikit_learn-1.7.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8da8bf89d4d79aaec192d2bda62f9b56ae4e5b4ef93b6a56b5de4977e375c1f1"}, + {file = "scikit_learn-1.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:9b7ed8d58725030568523e937c43e56bc01cadb478fc43c042a9aca1dacb3ba1"}, + {file = "scikit_learn-1.7.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96"}, + {file = "scikit_learn-1.7.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:acbc0f5fd2edd3432a22c69bed78e837c70cf896cd7993d71d51ba6708507476"}, + {file = "scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e5bf3d930aee75a65478df91ac1225ff89cd28e9ac7bd1196853a9229b6adb0b"}, + {file = "scikit_learn-1.7.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d6e9deed1a47aca9fe2f267ab8e8fe82ee20b4526b2c0cd9e135cea10feb44"}, + {file = "scikit_learn-1.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:6088aa475f0785e01bcf8529f55280a3d7d298679f50c0bb70a2364a82d0b290"}, + {file = "scikit_learn-1.7.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0b7dacaa05e5d76759fb071558a8b5130f4845166d88654a0f9bdf3eb57851b7"}, + {file = "scikit_learn-1.7.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:abebbd61ad9e1deed54cca45caea8ad5f79e1b93173dece40bb8e0c658dbe6fe"}, + {file = "scikit_learn-1.7.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:502c18e39849c0ea1a5d681af1dbcf15f6cce601aebb657aabbfe84133c1907f"}, + {file = "scikit_learn-1.7.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a4c328a71785382fe3fe676a9ecf2c86189249beff90bf85e22bdb7efaf9ae0"}, + {file = "scikit_learn-1.7.2-cp313-cp313-win_amd64.whl", hash = "sha256:63a9afd6f7b229aad94618c01c252ce9e6fa97918c5ca19c9a17a087d819440c"}, + {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9acb6c5e867447b4e1390930e3944a005e2cb115922e693c08a323421a6966e8"}, + {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:2a41e2a0ef45063e654152ec9d8bcfc39f7afce35b08902bfe290c2498a67a6a"}, + {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98335fb98509b73385b3ab2bd0639b1f610541d3988ee675c670371d6a87aa7c"}, + {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191e5550980d45449126e23ed1d5e9e24b2c68329ee1f691a3987476e115e09c"}, + {file = "scikit_learn-1.7.2-cp313-cp313t-win_amd64.whl", hash = "sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973"}, + {file = "scikit_learn-1.7.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33"}, + {file = "scikit_learn-1.7.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f95dc55b7902b91331fa4e5845dd5bde0580c9cd9612b1b2791b7e80c3d32615"}, + {file = "scikit_learn-1.7.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9656e4a53e54578ad10a434dc1f993330568cfee176dff07112b8785fb413106"}, + {file = "scikit_learn-1.7.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96dc05a854add0e50d3f47a1ef21a10a595016da5b007c7d9cd9d0bffd1fcc61"}, + {file = "scikit_learn-1.7.2-cp314-cp314-win_amd64.whl", hash = "sha256:bb24510ed3f9f61476181e4db51ce801e2ba37541def12dc9333b946fc7a9cf8"}, + {file = "scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda"}, +] + +[package.dependencies] +joblib = ">=1.2.0" +numpy = ">=1.22.0" +scipy = ">=1.8.0" +threadpoolctl = ">=3.1.0" + +[package.extras] +benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"] +build = ["cython (>=3.0.10)", "meson-python (>=0.17.1)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"] +docs = ["Pillow (>=8.4.0)", "matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"] +examples = ["matplotlib (>=3.5.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)"] +install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"] +maintenance = ["conda-lock (==3.0.1)"] +tests = ["matplotlib (>=3.5.0)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.2.1)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)", "scikit-image (>=0.19.0)"] + +[[package]] +name = "scipy" +version = "1.16.2" +description = "Fundamental algorithms for scientific computing in Python" +optional = false +python-versions = ">=3.11" +groups = ["main"] +files = [ + {file = "scipy-1.16.2-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:6ab88ea43a57da1af33292ebd04b417e8e2eaf9d5aa05700be8d6e1b6501cd92"}, + {file = "scipy-1.16.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c95e96c7305c96ede73a7389f46ccd6c659c4da5ef1b2789466baeaed3622b6e"}, + {file = "scipy-1.16.2-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:87eb178db04ece7c698220d523c170125dbffebb7af0345e66c3554f6f60c173"}, + {file = "scipy-1.16.2-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:4e409eac067dcee96a57fbcf424c13f428037827ec7ee3cb671ff525ca4fc34d"}, + {file = "scipy-1.16.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e574be127bb760f0dad24ff6e217c80213d153058372362ccb9555a10fc5e8d2"}, + {file = "scipy-1.16.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f5db5ba6188d698ba7abab982ad6973265b74bb40a1efe1821b58c87f73892b9"}, + {file = "scipy-1.16.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ec6e74c4e884104ae006d34110677bfe0098203a3fec2f3faf349f4cb05165e3"}, + {file = "scipy-1.16.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:912f46667d2d3834bc3d57361f854226475f695eb08c08a904aadb1c936b6a88"}, + {file = "scipy-1.16.2-cp311-cp311-win_amd64.whl", hash = "sha256:91e9e8a37befa5a69e9cacbe0bcb79ae5afb4a0b130fd6db6ee6cc0d491695fa"}, + {file = "scipy-1.16.2-cp311-cp311-win_arm64.whl", hash = "sha256:f3bf75a6dcecab62afde4d1f973f1692be013110cad5338007927db8da73249c"}, + {file = "scipy-1.16.2-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:89d6c100fa5c48472047632e06f0876b3c4931aac1f4291afc81a3644316bb0d"}, + {file = "scipy-1.16.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:ca748936cd579d3f01928b30a17dc474550b01272d8046e3e1ee593f23620371"}, + {file = "scipy-1.16.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:fac4f8ce2ddb40e2e3d0f7ec36d2a1e7f92559a2471e59aec37bd8d9de01fec0"}, + {file = "scipy-1.16.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:033570f1dcefd79547a88e18bccacff025c8c647a330381064f561d43b821232"}, + {file = "scipy-1.16.2-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ea3421209bf00c8a5ef2227de496601087d8f638a2363ee09af059bd70976dc1"}, + {file = "scipy-1.16.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f66bd07ba6f84cd4a380b41d1bf3c59ea488b590a2ff96744845163309ee8e2f"}, + {file = "scipy-1.16.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5e9feab931bd2aea4a23388c962df6468af3d808ddf2d40f94a81c5dc38f32ef"}, + {file = "scipy-1.16.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:03dfc75e52f72cf23ec2ced468645321407faad8f0fe7b1f5b49264adbc29cb1"}, + {file = "scipy-1.16.2-cp312-cp312-win_amd64.whl", hash = "sha256:0ce54e07bbb394b417457409a64fd015be623f36e330ac49306433ffe04bc97e"}, + {file = "scipy-1.16.2-cp312-cp312-win_arm64.whl", hash = "sha256:2a8ffaa4ac0df81a0b94577b18ee079f13fecdb924df3328fc44a7dc5ac46851"}, + {file = "scipy-1.16.2-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:84f7bf944b43e20b8a894f5fe593976926744f6c185bacfcbdfbb62736b5cc70"}, + {file = "scipy-1.16.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:5c39026d12edc826a1ef2ad35ad1e6d7f087f934bb868fc43fa3049c8b8508f9"}, + {file = "scipy-1.16.2-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e52729ffd45b68777c5319560014d6fd251294200625d9d70fd8626516fc49f5"}, + {file = "scipy-1.16.2-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:024dd4a118cccec09ca3209b7e8e614931a6ffb804b2a601839499cb88bdf925"}, + {file = "scipy-1.16.2-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7a5dc7ee9c33019973a470556081b0fd3c9f4c44019191039f9769183141a4d9"}, + {file = "scipy-1.16.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c2275ff105e508942f99d4e3bc56b6ef5e4b3c0af970386ca56b777608ce95b7"}, + {file = "scipy-1.16.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:af80196eaa84f033e48444d2e0786ec47d328ba00c71e4299b602235ffef9acb"}, + {file = "scipy-1.16.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9fb1eb735fe3d6ed1f89918224e3385fbf6f9e23757cacc35f9c78d3b712dd6e"}, + {file = "scipy-1.16.2-cp313-cp313-win_amd64.whl", hash = "sha256:fda714cf45ba43c9d3bae8f2585c777f64e3f89a2e073b668b32ede412d8f52c"}, + {file = "scipy-1.16.2-cp313-cp313-win_arm64.whl", hash = "sha256:2f5350da923ccfd0b00e07c3e5cfb316c1c0d6c1d864c07a72d092e9f20db104"}, + {file = "scipy-1.16.2-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:53d8d2ee29b925344c13bda64ab51785f016b1b9617849dac10897f0701b20c1"}, + {file = "scipy-1.16.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:9e05e33657efb4c6a9d23bd8300101536abd99c85cca82da0bffff8d8764d08a"}, + {file = "scipy-1.16.2-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:7fe65b36036357003b3ef9d37547abeefaa353b237e989c21027b8ed62b12d4f"}, + {file = "scipy-1.16.2-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:6406d2ac6d40b861cccf57f49592f9779071655e9f75cd4f977fa0bdd09cb2e4"}, + {file = "scipy-1.16.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ff4dc42bd321991fbf611c23fc35912d690f731c9914bf3af8f417e64aca0f21"}, + {file = "scipy-1.16.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:654324826654d4d9133e10675325708fb954bc84dae6e9ad0a52e75c6b1a01d7"}, + {file = "scipy-1.16.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63870a84cd15c44e65220eaed2dac0e8f8b26bbb991456a033c1d9abfe8a94f8"}, + {file = "scipy-1.16.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:fa01f0f6a3050fa6a9771a95d5faccc8e2f5a92b4a2e5440a0fa7264a2398472"}, + {file = "scipy-1.16.2-cp313-cp313t-win_amd64.whl", hash = "sha256:116296e89fba96f76353a8579820c2512f6e55835d3fad7780fece04367de351"}, + {file = "scipy-1.16.2-cp313-cp313t-win_arm64.whl", hash = "sha256:98e22834650be81d42982360382b43b17f7ba95e0e6993e2a4f5b9ad9283a94d"}, + {file = "scipy-1.16.2-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:567e77755019bb7461513c87f02bb73fb65b11f049aaaa8ca17cfaa5a5c45d77"}, + {file = "scipy-1.16.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:17d9bb346194e8967296621208fcdfd39b55498ef7d2f376884d5ac47cec1a70"}, + {file = "scipy-1.16.2-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:0a17541827a9b78b777d33b623a6dcfe2ef4a25806204d08ead0768f4e529a88"}, + {file = "scipy-1.16.2-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:d7d4c6ba016ffc0f9568d012f5f1eb77ddd99412aea121e6fa8b4c3b7cbad91f"}, + {file = "scipy-1.16.2-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9702c4c023227785c779cba2e1d6f7635dbb5b2e0936cdd3a4ecb98d78fd41eb"}, + {file = "scipy-1.16.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d1cdf0ac28948d225decdefcc45ad7dd91716c29ab56ef32f8e0d50657dffcc7"}, + {file = "scipy-1.16.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:70327d6aa572a17c2941cdfb20673f82e536e91850a2e4cb0c5b858b690e1548"}, + {file = "scipy-1.16.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5221c0b2a4b58aa7c4ed0387d360fd90ee9086d383bb34d9f2789fafddc8a936"}, + {file = "scipy-1.16.2-cp314-cp314-win_amd64.whl", hash = "sha256:f5a85d7b2b708025af08f060a496dd261055b617d776fc05a1a1cc69e09fe9ff"}, + {file = "scipy-1.16.2-cp314-cp314-win_arm64.whl", hash = "sha256:2cc73a33305b4b24556957d5857d6253ce1e2dcd67fa0ff46d87d1670b3e1e1d"}, + {file = "scipy-1.16.2-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:9ea2a3fed83065d77367775d689401a703d0f697420719ee10c0780bcab594d8"}, + {file = "scipy-1.16.2-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:7280d926f11ca945c3ef92ba960fa924e1465f8d07ce3a9923080363390624c4"}, + {file = "scipy-1.16.2-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:8afae1756f6a1fe04636407ef7dbece33d826a5d462b74f3d0eb82deabefd831"}, + {file = "scipy-1.16.2-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:5c66511f29aa8d233388e7416a3f20d5cae7a2744d5cee2ecd38c081f4e861b3"}, + {file = "scipy-1.16.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:efe6305aeaa0e96b0ccca5ff647a43737d9a092064a3894e46c414db84bc54ac"}, + {file = "scipy-1.16.2-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7f3a337d9ae06a1e8d655ee9d8ecb835ea5ddcdcbd8d23012afa055ab014f374"}, + {file = "scipy-1.16.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bab3605795d269067d8ce78a910220262711b753de8913d3deeaedb5dded3bb6"}, + {file = "scipy-1.16.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:b0348d8ddb55be2a844c518cd8cc8deeeb8aeba707cf834db5758fc89b476a2c"}, + {file = "scipy-1.16.2-cp314-cp314t-win_amd64.whl", hash = "sha256:26284797e38b8a75e14ea6631d29bda11e76ceaa6ddb6fdebbfe4c4d90faf2f9"}, + {file = "scipy-1.16.2-cp314-cp314t-win_arm64.whl", hash = "sha256:d2a4472c231328d4de38d5f1f68fdd6d28a615138f842580a8a321b5845cf779"}, + {file = "scipy-1.16.2.tar.gz", hash = "sha256:af029b153d243a80afb6eabe40b0a07f8e35c9adc269c019f364ad747f826a6b"}, +] + +[package.dependencies] +numpy = ">=1.25.2,<2.6" + +[package.extras] +dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] +doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "linkify-it-py", "matplotlib (>=3.5)", "myst-nb (>=1.2.0)", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.2.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] +test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest (>=8.0.0)", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + +[[package]] +name = "semantic-version" +version = "2.10.0" +description = "A library implementing the 'SemVer' scheme." +optional = false +python-versions = ">=2.7" +groups = ["main"] +files = [ + {file = "semantic_version-2.10.0-py2.py3-none-any.whl", hash = "sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177"}, + {file = "semantic_version-2.10.0.tar.gz", hash = "sha256:bdabb6d336998cbb378d4b9db3a4b56a1e3235701dc05ea2690d9a997ed5041c"}, +] + +[package.extras] +dev = ["Django (>=1.11)", "check-manifest", "colorama (<=0.4.1) ; python_version == \"3.4\"", "coverage", "flake8", "nose2", "readme-renderer (<25.0) ; python_version == \"3.4\"", "tox", "wheel", "zest.releaser[recommended]"] +doc = ["Sphinx", "sphinx-rtd-theme"] + +[[package]] +name = "send2trash" +version = "1.8.3" +description = "Send file to trash natively under Mac OS X, Windows and Linux" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +groups = ["main"] +files = [ + {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"}, + {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"}, +] + +[package.extras] +nativelib = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\"", "pywin32 ; sys_platform == \"win32\""] +objc = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\""] +win32 = ["pywin32 ; sys_platform == \"win32\""] + +[[package]] +name = "setuptools" +version = "80.9.0" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, + {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, +] + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] +core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] + +[[package]] +name = "shellingham" +version = "1.5.4" +description = "Tool to Detect Surrounding Shell" +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" +files = [ + {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, + {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, +] + +[[package]] +name = "six" +version = "1.17.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] +files = [ + {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, + {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, +] + +[[package]] +name = "smmap" +version = "5.0.2" +description = "A pure Python implementation of a sliding window memory map manager" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"}, + {file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"}, +] + +[[package]] +name = "sniffio" +version = "1.3.1" +description = "Sniff out which async library your code is running under" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, + {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, +] + +[[package]] +name = "soundfile" +version = "0.13.1" +description = "An audio library based on libsndfile, CFFI and NumPy" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "soundfile-0.13.1-py2.py3-none-any.whl", hash = "sha256:a23c717560da2cf4c7b5ae1142514e0fd82d6bbd9dfc93a50423447142f2c445"}, + {file = "soundfile-0.13.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:82dc664d19831933fe59adad199bf3945ad06d84bc111a5b4c0d3089a5b9ec33"}, + {file = "soundfile-0.13.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593"}, + {file = "soundfile-0.13.1-py2.py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb"}, + {file = "soundfile-0.13.1-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618"}, + {file = "soundfile-0.13.1-py2.py3-none-win32.whl", hash = "sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5"}, + {file = "soundfile-0.13.1-py2.py3-none-win_amd64.whl", hash = "sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9"}, + {file = "soundfile-0.13.1.tar.gz", hash = "sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b"}, +] + +[package.dependencies] +cffi = ">=1.0" +numpy = "*" + +[[package]] +name = "soupsieve" +version = "2.8" +description = "A modern CSS selector implementation for Beautiful Soup." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "soupsieve-2.8-py3-none-any.whl", hash = "sha256:0cc76456a30e20f5d7f2e14a98a4ae2ee4e5abdc7c5ea0aafe795f344bc7984c"}, + {file = "soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f"}, +] + +[[package]] +name = "soxr" +version = "1.0.0" +description = "High quality, one-dimensional sample-rate conversion library" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "soxr-1.0.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:b876a3156f67c76aef0cff1084eaf4088d9ca584bb569cb993f89a52ec5f399f"}, + {file = "soxr-1.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4d3b957a7b0cc19ae6aa45d40b2181474e53a8dd00efd7bce6bcf4e60e020892"}, + {file = "soxr-1.0.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b89685faedebc45af71f08f9957b61cc6143bc94ba43fe38e97067f81e272969"}, + {file = "soxr-1.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d255741b2f0084fd02d4a2ddd77cd495be9e7e7b6f9dba1c9494f86afefac65b"}, + {file = "soxr-1.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:158a4a9055958c4b95ef91dbbe280cabb00946b5423b25a9b0ce31bd9e0a271e"}, + {file = "soxr-1.0.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:28e19d74a5ef45c0d7000f3c70ec1719e89077379df2a1215058914d9603d2d8"}, + {file = "soxr-1.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8dc69fc18884e53b72f6141fdf9d80997edbb4fec9dc2942edcb63abbe0d023"}, + {file = "soxr-1.0.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3f15450e6f65f22f02fcd4c5a9219c873b1e583a73e232805ff160c759a6b586"}, + {file = "soxr-1.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f73f57452f9df37b4de7a4052789fcbd474a5b28f38bba43278ae4b489d4384"}, + {file = "soxr-1.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:9f417c3d69236051cf5a1a7bad7c4bff04eb3d8fcaa24ac1cb06e26c8d48d8dc"}, + {file = "soxr-1.0.0-cp312-abi3-macosx_10_14_x86_64.whl", hash = "sha256:abecf4e39017f3fadb5e051637c272ae5778d838e5c3926a35db36a53e3a607f"}, + {file = "soxr-1.0.0-cp312-abi3-macosx_11_0_arm64.whl", hash = "sha256:e973d487ee46aa8023ca00a139db6e09af053a37a032fe22f9ff0cc2e19c94b4"}, + {file = "soxr-1.0.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e8ce273cca101aff3d8c387db5a5a41001ba76ef1837883438d3c652507a9ccc"}, + {file = "soxr-1.0.0-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8f2a69686f2856d37823bbb7b78c3d44904f311fe70ba49b893af11d6b6047b"}, + {file = "soxr-1.0.0-cp312-abi3-win_amd64.whl", hash = "sha256:2a3b77b115ae7c478eecdbd060ed4f61beda542dfb70639177ac263aceda42a2"}, + {file = "soxr-1.0.0-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:392a5c70c04eb939c9c176bd6f654dec9a0eaa9ba33d8f1024ed63cf68cdba0a"}, + {file = "soxr-1.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:fdc41a1027ba46777186f26a8fba7893be913383414135577522da2fcc684490"}, + {file = "soxr-1.0.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:449acd1dfaf10f0ce6dfd75c7e2ef984890df94008765a6742dafb42061c1a24"}, + {file = "soxr-1.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:38b35c99e408b8f440c9376a5e1dd48014857cd977c117bdaa4304865ae0edd0"}, + {file = "soxr-1.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:a39b519acca2364aa726b24a6fd55acf29e4c8909102e0b858c23013c38328e5"}, + {file = "soxr-1.0.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:c120775b7d0ef9e974a5797a4695861e88653f7ecd0a2a532f089bc4452ba130"}, + {file = "soxr-1.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4e59e5f648bd6144e79a6e0596aa486218876293f5ddce3ca84b9d8f8aa34d6d"}, + {file = "soxr-1.0.0-cp39-cp39-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bb86c342862697dbd4a44043f275e5196f2d2c49dca374c78f19b7893988675d"}, + {file = "soxr-1.0.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3d2a4fadd88207c2991fb08c29fc189e7b2e298b598a94ea1747e42c8acb7a01"}, + {file = "soxr-1.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:c7f5ace8f04f924b21caedeeb69f2a7b3d83d2d436639498c08b2cebe181af14"}, + {file = "soxr-1.0.0.tar.gz", hash = "sha256:e07ee6c1d659bc6957034f4800c60cb8b98de798823e34d2a2bba1caa85a4509"}, +] + +[package.dependencies] +numpy = "*" + +[package.extras] +docs = ["linkify-it-py", "myst-parser", "sphinx", "sphinx-book-theme"] +test = ["pytest"] + +[[package]] +name = "sqlalchemy" +version = "2.0.43" +description = "Database Abstraction Library" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "SQLAlchemy-2.0.43-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:21ba7a08a4253c5825d1db389d4299f64a100ef9800e4624c8bf70d8f136e6ed"}, + {file = "SQLAlchemy-2.0.43-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11b9503fa6f8721bef9b8567730f664c5a5153d25e247aadc69247c4bc605227"}, + {file = "SQLAlchemy-2.0.43-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07097c0a1886c150ef2adba2ff7437e84d40c0f7dcb44a2c2b9c905ccfc6361c"}, + {file = "SQLAlchemy-2.0.43-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:cdeff998cb294896a34e5b2f00e383e7c5c4ef3b4bfa375d9104723f15186443"}, + {file = "SQLAlchemy-2.0.43-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:bcf0724a62a5670e5718957e05c56ec2d6850267ea859f8ad2481838f889b42c"}, + {file = "SQLAlchemy-2.0.43-cp37-cp37m-win32.whl", hash = "sha256:c697575d0e2b0a5f0433f679bda22f63873821d991e95a90e9e52aae517b2e32"}, + {file = "SQLAlchemy-2.0.43-cp37-cp37m-win_amd64.whl", hash = "sha256:d34c0f6dbefd2e816e8f341d0df7d4763d382e3f452423e752ffd1e213da2512"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:70322986c0c699dca241418fcf18e637a4369e0ec50540a2b907b184c8bca069"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:87accdbba88f33efa7b592dc2e8b2a9c2cdbca73db2f9d5c510790428c09c154"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c00e7845d2f692ebfc7d5e4ec1a3fd87698e4337d09e58d6749a16aedfdf8612"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:022e436a1cb39b13756cf93b48ecce7aa95382b9cfacceb80a7d263129dfd019"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c5e73ba0d76eefc82ec0219d2301cb33bfe5205ed7a2602523111e2e56ccbd20"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9c2e02f06c68092b875d5cbe4824238ab93a7fa35d9c38052c033f7ca45daa18"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-win32.whl", hash = "sha256:e7a903b5b45b0d9fa03ac6a331e1c1d6b7e0ab41c63b6217b3d10357b83c8b00"}, + {file = "sqlalchemy-2.0.43-cp310-cp310-win_amd64.whl", hash = "sha256:4bf0edb24c128b7be0c61cd17eef432e4bef507013292415f3fb7023f02b7d4b"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:52d9b73b8fb3e9da34c2b31e6d99d60f5f99fd8c1225c9dad24aeb74a91e1d29"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f42f23e152e4545157fa367b2435a1ace7571cab016ca26038867eb7df2c3631"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4fb1a8c5438e0c5ea51afe9c6564f951525795cf432bed0c028c1cb081276685"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db691fa174e8f7036afefe3061bc40ac2b770718be2862bfb03aabae09051aca"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fe2b3b4927d0bc03d02ad883f402d5de201dbc8894ac87d2e981e7d87430e60d"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4d3d9b904ad4a6b175a2de0738248822f5ac410f52c2fd389ada0b5262d6a1e3"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-win32.whl", hash = "sha256:5cda6b51faff2639296e276591808c1726c4a77929cfaa0f514f30a5f6156921"}, + {file = "sqlalchemy-2.0.43-cp311-cp311-win_amd64.whl", hash = "sha256:c5d1730b25d9a07727d20ad74bc1039bbbb0a6ca24e6769861c1aa5bf2c4c4a8"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:20d81fc2736509d7a2bd33292e489b056cbae543661bb7de7ce9f1c0cd6e7f24"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:25b9fc27650ff5a2c9d490c13c14906b918b0de1f8fcbb4c992712d8caf40e83"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6772e3ca8a43a65a37c88e2f3e2adfd511b0b1da37ef11ed78dea16aeae85bd9"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a113da919c25f7f641ffbd07fbc9077abd4b3b75097c888ab818f962707eb48"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4286a1139f14b7d70141c67a8ae1582fc2b69105f1b09d9573494eb4bb4b2687"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:529064085be2f4d8a6e5fab12d36ad44f1909a18848fcfbdb59cc6d4bbe48efe"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-win32.whl", hash = "sha256:b535d35dea8bbb8195e7e2b40059e2253acb2b7579b73c1b432a35363694641d"}, + {file = "sqlalchemy-2.0.43-cp312-cp312-win_amd64.whl", hash = "sha256:1c6d85327ca688dbae7e2b06d7d84cfe4f3fffa5b5f9e21bb6ce9d0e1a0e0e0a"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e7c08f57f75a2bb62d7ee80a89686a5e5669f199235c6d1dac75cd59374091c3"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:14111d22c29efad445cd5021a70a8b42f7d9152d8ba7f73304c4d82460946aaa"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:21b27b56eb2f82653168cefe6cb8e970cdaf4f3a6cb2c5e3c3c1cf3158968ff9"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c5a9da957c56e43d72126a3f5845603da00e0293720b03bde0aacffcf2dc04f"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d79f9fdc9584ec83d1b3c75e9f4595c49017f5594fee1a2217117647225d738"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9df7126fd9db49e3a5a3999442cc67e9ee8971f3cb9644250107d7296cb2a164"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-win32.whl", hash = "sha256:7f1ac7828857fcedb0361b48b9ac4821469f7694089d15550bbcf9ab22564a1d"}, + {file = "sqlalchemy-2.0.43-cp313-cp313-win_amd64.whl", hash = "sha256:971ba928fcde01869361f504fcff3b7143b47d30de188b11c6357c0505824197"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:4e6aeb2e0932f32950cf56a8b4813cb15ff792fc0c9b3752eaf067cfe298496a"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:61f964a05356f4bca4112e6334ed7c208174511bd56e6b8fc86dad4d024d4185"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46293c39252f93ea0910aababa8752ad628bcce3a10d3f260648dd472256983f"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:136063a68644eca9339d02e6693932116f6a8591ac013b0014479a1de664e40a"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:6e2bf13d9256398d037fef09fd8bf9b0bf77876e22647d10761d35593b9ac547"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:44337823462291f17f994d64282a71c51d738fc9ef561bf265f1d0fd9116a782"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-win32.whl", hash = "sha256:13194276e69bb2af56198fef7909d48fd34820de01d9c92711a5fa45497cc7ed"}, + {file = "sqlalchemy-2.0.43-cp38-cp38-win_amd64.whl", hash = "sha256:334f41fa28de9f9be4b78445e68530da3c5fa054c907176460c81494f4ae1f5e"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ceb5c832cc30663aeaf5e39657712f4c4241ad1f638d487ef7216258f6d41fe7"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:11f43c39b4b2ec755573952bbcc58d976779d482f6f832d7f33a8d869ae891bf"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:413391b2239db55be14fa4223034d7e13325a1812c8396ecd4f2c08696d5ccad"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c379e37b08c6c527181a397212346be39319fb64323741d23e46abd97a400d34"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:03d73ab2a37d9e40dec4984d1813d7878e01dbdc742448d44a7341b7a9f408c7"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:8cee08f15d9e238ede42e9bbc1d6e7158d0ca4f176e4eab21f88ac819ae3bd7b"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-win32.whl", hash = "sha256:b3edaec7e8b6dc5cd94523c6df4f294014df67097c8217a89929c99975811414"}, + {file = "sqlalchemy-2.0.43-cp39-cp39-win_amd64.whl", hash = "sha256:227119ce0a89e762ecd882dc661e0aa677a690c914e358f0dd8932a2e8b2765b"}, + {file = "sqlalchemy-2.0.43-py3-none-any.whl", hash = "sha256:1681c21dd2ccee222c2fe0bef671d1aef7c504087c9c4e800371cfcc8ac966fc"}, + {file = "sqlalchemy-2.0.43.tar.gz", hash = "sha256:788bfcef6787a7764169cfe9859fe425bf44559619e1d9f56f5bddf2ebf6f417"}, +] + +[package.dependencies] +greenlet = {version = ">=1", markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"} +typing-extensions = ">=4.6.0" + +[package.extras] +aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"] +aioodbc = ["aioodbc", "greenlet (>=1)"] +aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"] +asyncio = ["greenlet (>=1)"] +asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"] +mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"] +mssql = ["pyodbc"] +mssql-pymssql = ["pymssql"] +mssql-pyodbc = ["pyodbc"] +mypy = ["mypy (>=0.910)"] +mysql = ["mysqlclient (>=1.4.0)"] +mysql-connector = ["mysql-connector-python"] +oracle = ["cx_oracle (>=8)"] +oracle-oracledb = ["oracledb (>=1.0.1)"] +postgresql = ["psycopg2 (>=2.7)"] +postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"] +postgresql-pg8000 = ["pg8000 (>=1.29.1)"] +postgresql-psycopg = ["psycopg (>=3.0.7)"] +postgresql-psycopg2binary = ["psycopg2-binary"] +postgresql-psycopg2cffi = ["psycopg2cffi"] +postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"] +pymysql = ["pymysql"] +sqlcipher = ["sqlcipher3_binary"] + +[[package]] +name = "sqlparse" +version = "0.5.3" +description = "A non-validating SQL parser." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "sqlparse-0.5.3-py3-none-any.whl", hash = "sha256:cf2196ed3418f3ba5de6af7e82c694a9fbdbfecccdfc72e281548517081f16ca"}, + {file = "sqlparse-0.5.3.tar.gz", hash = "sha256:09f67787f56a0b16ecdbde1bfc7f5d9c3371ca683cfeaa8e6ff60b4807ec9272"}, +] + +[package.extras] +dev = ["build", "hatch"] +doc = ["sphinx"] + +[[package]] +name = "stack-data" +version = "0.6.3" +description = "Extract data from python stack frames and tracebacks for informative displays" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, + {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, +] + +[package.dependencies] +asttokens = ">=2.1.0" +executing = ">=1.2.0" +pure-eval = "*" + +[package.extras] +tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] + +[[package]] +name = "standard-aifc" +version = "3.13.0" +description = "Standard library aifc redistribution. \"dead battery\"." +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version >= \"3.13\"" +files = [ + {file = "standard_aifc-3.13.0-py3-none-any.whl", hash = "sha256:f7ae09cc57de1224a0dd8e3eb8f73830be7c3d0bc485de4c1f82b4a7f645ac66"}, + {file = "standard_aifc-3.13.0.tar.gz", hash = "sha256:64e249c7cb4b3daf2fdba4e95721f811bde8bdfc43ad9f936589b7bb2fae2e43"}, +] + +[package.dependencies] +audioop-lts = {version = "*", markers = "python_version >= \"3.13\""} +standard-chunk = {version = "*", markers = "python_version >= \"3.13\""} + +[[package]] +name = "standard-chunk" +version = "3.13.0" +description = "Standard library chunk redistribution. \"dead battery\"." +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version >= \"3.13\"" +files = [ + {file = "standard_chunk-3.13.0-py3-none-any.whl", hash = "sha256:17880a26c285189c644bd5bd8f8ed2bdb795d216e3293e6dbe55bbd848e2982c"}, + {file = "standard_chunk-3.13.0.tar.gz", hash = "sha256:4ac345d37d7e686d2755e01836b8d98eda0d1a3ee90375e597ae43aaf064d654"}, +] + +[[package]] +name = "standard-sunau" +version = "3.13.0" +description = "Standard library sunau redistribution. \"dead battery\"." +optional = false +python-versions = "*" +groups = ["main"] +markers = "python_version >= \"3.13\"" +files = [ + {file = "standard_sunau-3.13.0-py3-none-any.whl", hash = "sha256:53af624a9529c41062f4c2fd33837f297f3baa196b0cfceffea6555654602622"}, + {file = "standard_sunau-3.13.0.tar.gz", hash = "sha256:b319a1ac95a09a2378a8442f403c66f4fd4b36616d6df6ae82b8e536ee790908"}, +] + +[package.dependencies] +audioop-lts = {version = "*", markers = "python_version >= \"3.13\""} + +[[package]] +name = "starlette" +version = "0.47.3" +description = "The little ASGI library that shines." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "starlette-0.47.3-py3-none-any.whl", hash = "sha256:89c0778ca62a76b826101e7c709e70680a1699ca7da6b44d38eb0a7e61fe4b51"}, + {file = "starlette-0.47.3.tar.gz", hash = "sha256:6bc94f839cc176c4858894f1f8908f0ab79dfec1a6b8402f6da9be26ebea52e9"}, +] + +[package.dependencies] +anyio = ">=3.6.2,<5" +typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""} + +[package.extras] +full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"] + +[[package]] +name = "sympy" +version = "1.14.0" +description = "Computer algebra system (CAS) in Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, + {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, +] + +[package.dependencies] +mpmath = ">=1.1.0,<1.4" + +[package.extras] +dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"] + +[[package]] +name = "terminado" +version = "0.18.1" +description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, + {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, +] + +[package.dependencies] +ptyprocess = {version = "*", markers = "os_name != \"nt\""} +pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} +tornado = ">=6.1.0" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] +typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"] + +[[package]] +name = "threadpoolctl" +version = "3.6.0" +description = "threadpoolctl" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, + {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, +] + +[[package]] +name = "tinycss2" +version = "1.4.0" +description = "A tiny CSS parser" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"}, + {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"}, +] + +[package.dependencies] +webencodings = ">=0.4" + +[package.extras] +doc = ["sphinx", "sphinx_rtd_theme"] +test = ["pytest", "ruff"] + +[[package]] +name = "tokenizers" +version = "0.22.0" +description = "" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "tokenizers-0.22.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:eaa9620122a3fb99b943f864af95ed14c8dfc0f47afa3b404ac8c16b3f2bb484"}, + {file = "tokenizers-0.22.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:71784b9ab5bf0ff3075bceeb198149d2c5e068549c0d18fe32d06ba0deb63f79"}, + {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec5b71f668a8076802b0241a42387d48289f25435b86b769ae1837cad4172a17"}, + {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ea8562fa7498850d02a16178105b58803ea825b50dc9094d60549a7ed63654bb"}, + {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4136e1558a9ef2e2f1de1555dcd573e1cbc4a320c1a06c4107a3d46dc8ac6e4b"}, + {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cdf5954de3962a5fd9781dc12048d24a1a6f1f5df038c6e95db328cd22964206"}, + {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8337ca75d0731fc4860e6204cc24bb36a67d9736142aa06ed320943b50b1e7ed"}, + {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a89264e26f63c449d8cded9061adea7b5de53ba2346fc7e87311f7e4117c1cc8"}, + {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:790bad50a1b59d4c21592f9c3cf5e5cf9c3c7ce7e1a23a739f13e01fb1be377a"}, + {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:76cf6757c73a10ef10bf06fa937c0ec7393d90432f543f49adc8cab3fb6f26cb"}, + {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:1626cb186e143720c62c6c6b5371e62bbc10af60481388c0da89bc903f37ea0c"}, + {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:da589a61cbfea18ae267723d6b029b84598dc8ca78db9951d8f5beff72d8507c"}, + {file = "tokenizers-0.22.0-cp39-abi3-win32.whl", hash = "sha256:dbf9d6851bddae3e046fedfb166f47743c1c7bd11c640f0691dd35ef0bcad3be"}, + {file = "tokenizers-0.22.0-cp39-abi3-win_amd64.whl", hash = "sha256:c78174859eeaee96021f248a56c801e36bfb6bd5b067f2e95aa82445ca324f00"}, + {file = "tokenizers-0.22.0.tar.gz", hash = "sha256:2e33b98525be8453f355927f3cab312c36cd3e44f4d7e9e97da2fa94d0a49dcb"}, +] + +[package.dependencies] +huggingface-hub = ">=0.16.4,<1.0" + +[package.extras] +dev = ["tokenizers[testing]"] +docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"] +testing = ["black (==22.3)", "datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff"] + +[[package]] +name = "tomlkit" +version = "0.13.3" +description = "Style preserving TOML library" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"}, + {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"}, +] + +[[package]] +name = "torch" +version = "2.2.2" +description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" +optional = false +python-versions = ">=3.8.0" +groups = ["main"] +files = [ + {file = "torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:bc889d311a855dd2dfd164daf8cc903a6b7273a747189cebafdd89106e4ad585"}, + {file = "torch-2.2.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:15dffa4cc3261fa73d02f0ed25f5fa49ecc9e12bf1ae0a4c1e7a88bbfaad9030"}, + {file = "torch-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:11e8fe261233aeabd67696d6b993eeb0896faa175c6b41b9a6c9f0334bdad1c5"}, + {file = "torch-2.2.2-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:b2e2200b245bd9f263a0d41b6a2dab69c4aca635a01b30cca78064b0ef5b109e"}, + {file = "torch-2.2.2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:877b3e6593b5e00b35bbe111b7057464e76a7dd186a287280d941b564b0563c2"}, + {file = "torch-2.2.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:ad4c03b786e074f46606f4151c0a1e3740268bcf29fbd2fdf6666d66341c1dcb"}, + {file = "torch-2.2.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:32827fa1fbe5da8851686256b4cd94cc7b11be962862c2293811c94eea9457bf"}, + {file = "torch-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:f9ef0a648310435511e76905f9b89612e45ef2c8b023bee294f5e6f7e73a3e7c"}, + {file = "torch-2.2.2-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:95b9b44f3bcebd8b6cd8d37ec802048c872d9c567ba52c894bba90863a439059"}, + {file = "torch-2.2.2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:49aa4126ede714c5aeef7ae92969b4b0bbe67f19665106463c39f22e0a1860d1"}, + {file = "torch-2.2.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:cf12cdb66c9c940227ad647bc9cf5dba7e8640772ae10dfe7569a0c1e2a28aca"}, + {file = "torch-2.2.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:89ddac2a8c1fb6569b90890955de0c34e1724f87431cacff4c1979b5f769203c"}, + {file = "torch-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:451331406b760f4b1ab298ddd536486ab3cfb1312614cfe0532133535be60bea"}, + {file = "torch-2.2.2-cp312-none-macosx_10_9_x86_64.whl", hash = "sha256:eb4d6e9d3663e26cd27dc3ad266b34445a16b54908e74725adb241aa56987533"}, + {file = "torch-2.2.2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:bf9558da7d2bf7463390b3b2a61a6a3dbb0b45b161ee1dd5ec640bf579d479fc"}, + {file = "torch-2.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cd2bf7697c9e95fb5d97cc1d525486d8cf11a084c6af1345c2c2c22a6b0029d0"}, + {file = "torch-2.2.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:b421448d194496e1114d87a8b8d6506bce949544e513742b097e2ab8f7efef32"}, + {file = "torch-2.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:3dbcd563a9b792161640c0cffe17e3270d85e8f4243b1f1ed19cca43d28d235b"}, + {file = "torch-2.2.2-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:31f4310210e7dda49f1fb52b0ec9e59382cfcb938693f6d5378f25b43d7c1d29"}, + {file = "torch-2.2.2-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c795feb7e8ce2e0ef63f75f8e1ab52e7fd5e1a4d7d0c31367ade1e3de35c9e95"}, + {file = "torch-2.2.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:a6e5770d68158d07456bfcb5318b173886f579fdfbf747543901ce718ea94782"}, + {file = "torch-2.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:67dcd726edff108e2cd6c51ff0e416fd260c869904de95750e80051358680d24"}, + {file = "torch-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:539d5ef6c4ce15bd3bd47a7b4a6e7c10d49d4d21c0baaa87c7d2ef8698632dfb"}, + {file = "torch-2.2.2-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:dff696de90d6f6d1e8200e9892861fd4677306d0ef604cb18f2134186f719f82"}, + {file = "torch-2.2.2-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:3a4dd910663fd7a124c056c878a52c2b0be4a5a424188058fe97109d4436ee42"}, +] + +[package.dependencies] +filelock = "*" +fsspec = "*" +jinja2 = "*" +networkx = "*" +nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +sympy = "*" +triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""} +typing-extensions = ">=4.8.0" + +[package.extras] +opt-einsum = ["opt-einsum (>=3.3)"] +optree = ["optree (>=0.9.1)"] + +[[package]] +name = "torchaudio" +version = "2.2.2" +description = "An audio package for PyTorch" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "torchaudio-2.2.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b1d58201d108e85db3e35b84319f33884f61f327c38ead86913218c8c1acc3dd"}, + {file = "torchaudio-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a520e14ea0ba89d9dc27922eb4609f9eac5c01c279830e0f216b9c9e017d438b"}, + {file = "torchaudio-2.2.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:f05d14f6cd0bc3498de19eb1b87420c06895911acf7eca08da37a21a4d42dbbe"}, + {file = "torchaudio-2.2.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:b0f38e7d3548914d78aafc27ff00f7701b1a50bfcddc58965f545fc92ccd4a66"}, + {file = "torchaudio-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ad5c6ef0d8fac69221d02fd384b07373f59605d7a09f20c6fe67132c6574ece2"}, + {file = "torchaudio-2.2.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:f1a81a518a3e86c004125eb891fc433ce8fb2343295b5d612d0f37b24e131efd"}, + {file = "torchaudio-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:01482fc85117f85ee44f8aa8e9c11b1c022326173e0748789ed42b219102937f"}, + {file = "torchaudio-2.2.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:02e3dc45408d83371d9832ee4520f13f887f5da4cd0931ebde6aaf2a1723d340"}, + {file = "torchaudio-2.2.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:0a03a48b6d55d17d48f419a7f1d0d4018d48a04c76585c16a9b5e69281f92f94"}, + {file = "torchaudio-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:45ff277ced4a3f8cdc0474df16ebfb177633337040e5ac82d1fd46e4e6b57f85"}, + {file = "torchaudio-2.2.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:da3cc523696166ea525d2b3377d789da5388f36d94a20a324b09df00f1c43458"}, + {file = "torchaudio-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8fc7aac4f4b24e9b3fa03a2a7933363f7e5c484835ccb2a20cf164a0e5e715b7"}, + {file = "torchaudio-2.2.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:2b20b3b2f0d71b626cfa651cb290010f0cae6c2f6d5cb33f39ce34f99877fd9d"}, + {file = "torchaudio-2.2.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:9db0338bd3a78e60c745b6b5c366e4c9b88eb210e1fdd617d3f62f1a0b859ea4"}, + {file = "torchaudio-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:468e46c1dcf4a8c5d5ef68dae934a67a83f544034d1be7322cc58f721ff0e487"}, + {file = "torchaudio-2.2.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:8ce4df065a949911d2b6782aa4c13687efadea23ffc7c7a6f15f7e7ae5c89524"}, + {file = "torchaudio-2.2.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b3b8abe26b067e9c4a6e3dba156b91d7a85247e88dda70b7c43859f55b978ddc"}, + {file = "torchaudio-2.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:53cf1089ac8082d626627e1a7e5bfd82f879f7d8129a36d7360243338fd0dfb3"}, + {file = "torchaudio-2.2.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:4f756a6e667dd8841bf21a07ead3efedaa7a27d55852779c266f6f2a1064c994"}, + {file = "torchaudio-2.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:de887ac20208ad50786c22c82a3da641376c5e01d1c2ac6dafbccd6ee3d30c93"}, + {file = "torchaudio-2.2.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:db70b13a871a49487bd9042bf04b12f74aed77b1a87d2fbeb68d09d9b64bc528"}, + {file = "torchaudio-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4b78a84a189bf3da4b966375cebdecc584a4dc5f60e0bde721d73401ed5cad45"}, + {file = "torchaudio-2.2.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:0ee438a5854874ce6e2fd89cae7ea60977f68a82b851719dddb3f7779c9e85ab"}, + {file = "torchaudio-2.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:723f4e57b5d0c120357ca60cd55b4e6cfac845bc0ecccb4b417a44aa4ebc526b"}, + {file = "torchaudio-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:2da5a53d7fb3f1e83d552c06ad143338a3ab12f517ccdf7e107592dbd51deb83"}, +] + +[package.dependencies] +torch = "2.2.2" + +[[package]] +name = "torchcodec" +version = "0.7.0" +description = "A video decoder for PyTorch" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "torchcodec-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ae0b7acbc0c1a755ae817a8843715131f24be7807ddc46092d8b49a0fc970eb"}, + {file = "torchcodec-0.7.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a0071096724e8ded6a171457ce4680f646499b4a4d285cdb46e130983f965ce4"}, + {file = "torchcodec-0.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:737da9212594bf2f205582512a7a4f56d39591b357bf5a30e72e858cfcedc2ac"}, + {file = "torchcodec-0.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:967a14b31e04721901ddbf965f9e9f733f328c5e98a51e22f414e25ac32e20ba"}, + {file = "torchcodec-0.7.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:afb1c48b52bd4ee8f485f5a427bb4e82380590255a26b8e9e3fe099e0779287f"}, + {file = "torchcodec-0.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:a68765cd29159da3cf36eb5716481c617ad9d168fe06418bcde2a9360cc7eb5e"}, + {file = "torchcodec-0.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d9d082bbb599f4f7715bfc3b1afa5bc16d8fb9d852e68084c63f1973cc78a1cb"}, + {file = "torchcodec-0.7.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:3cd23c3296c9b071d56bb2c534a6a98275d65c1a6a7213cdb72a26ec9f9d2fd8"}, + {file = "torchcodec-0.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:ac942831bff02e6041d8718b71c6f63e4e37c05dd95e72863725c9dbef0d4a7b"}, + {file = "torchcodec-0.7.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:32a0115035a7f0a77fa451f67c101e0273a3a37d33b69e1bcd777f00aceb7340"}, + {file = "torchcodec-0.7.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9c70f910f9f48e6625aacaed534f766e13d447b895dc7299e96d4db9a93f1514"}, + {file = "torchcodec-0.7.0-cp313-cp313-win_amd64.whl", hash = "sha256:31b402c9ae3c6e9f33c41fddf7058f9492c443ad55d02f022395f8fa196b58f6"}, + {file = "torchcodec-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:37e5bdc6f0a0e71f8ea742acb874445adbd2457d92363989ada1e454f13b5b2c"}, + {file = "torchcodec-0.7.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:d2b10c1ad9bfdc21c75b1794566a0d68131f087dd609c27ee707efb035a45198"}, + {file = "torchcodec-0.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:58be79fec0d6b2a4fa73440b9a84a0be4ba813ed71aa529a2ec72bbb6a57a7f8"}, +] + +[package.extras] +dev = ["numpy", "pillow", "pytest"] + +[[package]] +name = "torchmetrics" +version = "1.8.2" +description = "PyTorch native Metrics" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "torchmetrics-1.8.2-py3-none-any.whl", hash = "sha256:08382fd96b923e39e904c4d570f3d49e2cc71ccabd2a94e0f895d1f0dac86242"}, + {file = "torchmetrics-1.8.2.tar.gz", hash = "sha256:cf64a901036bf107f17a524009eea7781c9c5315d130713aeca5747a686fe7a5"}, +] + +[package.dependencies] +lightning-utilities = ">=0.8.0" +numpy = ">1.20.0" +packaging = ">17.1" +torch = ">=2.0.0" + +[package.extras] +all = ["SciencePlots (>=2.0.0)", "einops (>=0.7.0)", "einops (>=0.7.0)", "gammatone (>=1.0.0)", "ipadic (>=1.0.0)", "librosa (>=0.10.0)", "matplotlib (>=3.6.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.17.1)", "nltk (>3.8.1)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "timm (>=0.9.0)", "torch (==2.8.0)", "torch-fidelity (<=0.4.0)", "torch_linear_assignment (>=0.0.2)", "torchaudio (>=2.0.1)", "torchvision (>=0.15.1)", "torchvision (>=0.15.1)", "tqdm (<4.68.0)", "transformers (>=4.43.0)", "transformers (>=4.43.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate", "vmaf-torch (>=1.1.0)"] +audio = ["gammatone (>=1.0.0)", "librosa (>=0.10.0)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "pystoi (>=0.4.0)", "requests (>=2.19.0)", "torchaudio (>=2.0.1)"] +clustering = ["torch_linear_assignment (>=0.0.2)"] +detection = ["pycocotools (>2.0.0)", "torchvision (>=0.15.1)"] +dev = ["PyTDC (==0.4.1) ; python_version < \"3.10\" or platform_system == \"Windows\" and python_version < \"3.12\"", "SciencePlots (>=2.0.0)", "aeon (>=1.0.0) ; python_version > \"3.10\"", "bert_score (==0.3.13)", "dists-pytorch (==0.1)", "dython (==0.7.9)", "einops (>=0.7.0)", "einops (>=0.7.0)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.6.3)", "gammatone (>=1.0.0)", "huggingface-hub (<0.35)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "librosa (>=0.10.0)", "lpips (<=0.1.4)", "matplotlib (>=3.6.0)", "mecab-ko (>=1.0.0,<1.1.0) ; python_version < \"3.12\"", "mecab-ko-dic (>=1.0.0) ; python_version < \"3.12\"", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.4.0)", "mypy (==1.17.1)", "netcal (>1.0.0)", "nltk (>3.8.1)", "numpy (<2.4.0)", "onnxruntime (>=1.12.0)", "pandas (>1.4.0)", "permetrics (==2.0.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "properscoring (==0.1)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "timm (>=0.9.0)", "torch (==2.8.0)", "torch-fidelity (<=0.4.0)", "torch_complex (<0.5.0)", "torch_linear_assignment (>=0.0.2)", "torchaudio (>=2.0.1)", "torchvision (>=0.15.1)", "torchvision (>=0.15.1)", "tqdm (<4.68.0)", "transformers (>=4.43.0)", "transformers (>=4.43.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate", "vmaf-torch (>=1.1.0)"] +image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.15.1)"] +multimodal = ["einops (>=0.7.0)", "piq (<=0.8.0)", "timm (>=0.9.0)", "transformers (>=4.43.0)"] +text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>3.8.1)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (<4.68.0)", "transformers (>=4.43.0)"] +typing = ["mypy (==1.17.1)", "torch (==2.8.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"] +video = ["einops (>=0.7.0)", "vmaf-torch (>=1.1.0)"] +visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.6.0)"] + +[[package]] +name = "torchvision" +version = "0.17.2" +description = "image and video datasets and models for torch deep learning" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "torchvision-0.17.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:1f2910fe3c21ad6875b2720d46fad835b2e4b336e9553d31ca364d24c90b1d4f"}, + {file = "torchvision-0.17.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ecc1c503fa8a54fbab777e06a7c228032b8ab78efebf35b28bc8f22f544f51f1"}, + {file = "torchvision-0.17.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:f400145fc108833e7c2fc28486a04989ca742146d7a2a2cc48878ebbb40cdbbd"}, + {file = "torchvision-0.17.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e9e4bed404af33dfc92eecc2b513d21ddc4c242a7fd8708b3b09d3a26aa6f444"}, + {file = "torchvision-0.17.2-cp310-cp310-win_amd64.whl", hash = "sha256:ba2e62f233eab3d42b648c122a3a29c47cc108ca314dfd5cbb59cd3a143fd623"}, + {file = "torchvision-0.17.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:9b83e55ee7d0a1704f52b9c0ac87388e7a6d1d98a6bde7b0b35f9ab54d7bda54"}, + {file = "torchvision-0.17.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e031004a1bc432c980a7bd642f6c189a3efc316e423fc30b5569837166a4e28d"}, + {file = "torchvision-0.17.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:3bbc24b7713e8f22766992562547d8b4b10001208d372fe599255af84bfd1a69"}, + {file = "torchvision-0.17.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:833fd2e4216ced924c8aca0525733fe727f9a1af66dfad7c5be7257e97c39678"}, + {file = "torchvision-0.17.2-cp311-cp311-win_amd64.whl", hash = "sha256:6835897df852fad1015e6a106c167c83848114cbcc7d86112384a973404e4431"}, + {file = "torchvision-0.17.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:14fd1d4a033c325bdba2d03a69c3450cab6d3a625f85cc375781d9237ca5d04d"}, + {file = "torchvision-0.17.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9c3acbebbe379af112b62b535820174277b1f3eed30df264a4e458d58ee4e5b2"}, + {file = "torchvision-0.17.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:77d680adf6ce367166a186d2c7fda3a73807ab9a03b2c31a03fa8812c8c5335b"}, + {file = "torchvision-0.17.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:f1c9ab3152cfb27f83aca072cac93a3a4c4e4ab0261cf0f2d516b9868a4e96f3"}, + {file = "torchvision-0.17.2-cp312-cp312-win_amd64.whl", hash = "sha256:3f784381419f3ed3f2ec2aa42fb4aeec5bf4135e298d1631e41c926e6f1a0dff"}, + {file = "torchvision-0.17.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:b83aac8d78f48981146d582168d75b6c947cfb0a7693f76e219f1926f6e595a3"}, + {file = "torchvision-0.17.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1ece40557e122d79975860a005aa7e2a9e2e6c350a03e78a00ec1450083312fd"}, + {file = "torchvision-0.17.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:32dbeba3987e20f2dc1bce8d1504139fff582898346dfe8ad98d649f97ca78fa"}, + {file = "torchvision-0.17.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:35ba5c1600c3203549d2316422a659bd20c0cfda1b6085eec94fb9f35f55ca43"}, + {file = "torchvision-0.17.2-cp38-cp38-win_amd64.whl", hash = "sha256:2f69570f50b1d195e51bc03feffb7b7728207bc36efcfb1f0813712b2379d881"}, + {file = "torchvision-0.17.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:4868bbfa55758c8107e69a0e7dd5e77b89056035cd38b767ad5b98cdb71c0f0d"}, + {file = "torchvision-0.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:efd6d0dd0668e15d01a2cffadc74068433b32cbcf5692e0c4aa15fc5cb250ce7"}, + {file = "torchvision-0.17.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7dc85b397f6c6d9ef12716ce0d6e11ac2b803f5cccff6fe3966db248e7774478"}, + {file = "torchvision-0.17.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d506854c5acd69b20a8b6641f01fe841685a21c5406b56813184f1c9fc94279e"}, + {file = "torchvision-0.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:067095e87a020a7a251ac1d38483aa591c5ccb81e815527c54db88a982fc9267"}, +] + +[package.dependencies] +numpy = "*" +pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0" +torch = "2.2.2" + +[package.extras] +scipy = ["scipy"] + +[[package]] +name = "tornado" +version = "6.5.2" +description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "tornado-6.5.2-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2436822940d37cde62771cff8774f4f00b3c8024fe482e16ca8387b8a2724db6"}, + {file = "tornado-6.5.2-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:583a52c7aa94ee046854ba81d9ebb6c81ec0fd30386d96f7640c96dad45a03ef"}, + {file = "tornado-6.5.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0fe179f28d597deab2842b86ed4060deec7388f1fd9c1b4a41adf8af058907e"}, + {file = "tornado-6.5.2-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b186e85d1e3536d69583d2298423744740986018e393d0321df7340e71898882"}, + {file = "tornado-6.5.2-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e792706668c87709709c18b353da1f7662317b563ff69f00bab83595940c7108"}, + {file = "tornado-6.5.2-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:06ceb1300fd70cb20e43b1ad8aaee0266e69e7ced38fa910ad2e03285009ce7c"}, + {file = "tornado-6.5.2-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:74db443e0f5251be86cbf37929f84d8c20c27a355dd452a5cfa2aada0d001ec4"}, + {file = "tornado-6.5.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b5e735ab2889d7ed33b32a459cac490eda71a1ba6857b0118de476ab6c366c04"}, + {file = "tornado-6.5.2-cp39-abi3-win32.whl", hash = "sha256:c6f29e94d9b37a95013bb669616352ddb82e3bfe8326fccee50583caebc8a5f0"}, + {file = "tornado-6.5.2-cp39-abi3-win_amd64.whl", hash = "sha256:e56a5af51cc30dd2cae649429af65ca2f6571da29504a07995175df14c18f35f"}, + {file = "tornado-6.5.2-cp39-abi3-win_arm64.whl", hash = "sha256:d6c33dc3672e3a1f3618eb63b7ef4683a7688e7b9e6e8f0d9aa5726360a004af"}, + {file = "tornado-6.5.2.tar.gz", hash = "sha256:ab53c8f9a0fa351e2c0741284e06c7a45da86afb544133201c5cc8578eb076a0"}, +] + +[[package]] +name = "tqdm" +version = "4.67.1" +description = "Fast, Extensible Progress Meter" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, + {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"] +discord = ["requests"] +notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] +telegram = ["requests"] + +[[package]] +name = "traitlets" +version = "5.14.3" +description = "Traitlets Python configuration system" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, + {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, +] + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] + +[[package]] +name = "transformers" +version = "4.56.1" +description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "transformers-4.56.1-py3-none-any.whl", hash = "sha256:1697af6addfb6ddbce9618b763f4b52d5a756f6da4899ffd1b4febf58b779248"}, + {file = "transformers-4.56.1.tar.gz", hash = "sha256:0d88b1089a563996fc5f2c34502f10516cad3ea1aa89f179f522b54c8311fe74"}, +] + +[package.dependencies] +filelock = "*" +huggingface-hub = ">=0.34.0,<1.0" +numpy = ">=1.17" +packaging = ">=20.0" +pyyaml = ">=5.1" +regex = "!=2019.12.17" +requests = "*" +safetensors = ">=0.4.3" +tokenizers = ">=0.22.0,<=0.23.0" +tqdm = ">=4.27" + +[package.extras] +accelerate = ["accelerate (>=0.26.0)"] +all = ["Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "jinja2 (>=3.1.0)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "librosa", "mistral-common[opencv] (>=1.6.3)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torchaudio", "torchvision"] +audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +benchmark = ["optimum-benchmark (>=0.3.0)"] +chat-template = ["jinja2 (>=3.1.0)"] +codecarbon = ["codecarbon (>=2.8.1)"] +deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "optuna", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "jinja2 (>=3.1.0)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "onnxconverter-common", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "tf2onnx", "timeout-decorator", "tokenizers (>=0.22.0,<=0.23.0)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"] +flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] +flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +ftfy = ["ftfy"] +hf-xet = ["hf_xet"] +hub-kernels = ["kernels (>=0.6.1,<=0.9)"] +integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"] +ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] +mistral-common = ["mistral-common[opencv] (>=1.6.3)"] +modelcreation = ["cookiecutter (==1.7.3)"] +natten = ["natten (>=0.14.6,<0.15.0)"] +num2words = ["num2words"] +onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] +onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] +open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] +optuna = ["optuna"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"] +ray = ["ray[tune] (>=2.7.0)"] +retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] +ruff = ["ruff (==0.11.2)"] +sagemaker = ["sagemaker (>=2.31.0)"] +sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] +serving = ["accelerate (>=0.26.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "starlette", "torch (>=2.2)", "uvicorn"] +sigopt = ["sigopt"] +sklearn = ["scikit-learn"] +speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +tiktoken = ["blobfile", "tiktoken"] +timm = ["timm (!=1.0.18,<=1.0.19)"] +tokenizers = ["tokenizers (>=0.22.0,<=0.23.0)"] +torch = ["accelerate (>=0.26.0)", "torch (>=2.2)"] +torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] +torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] +video = ["av"] +vision = ["Pillow (>=10.0.1,<=15.0)"] + +[[package]] +name = "triton" +version = "2.2.0" +description = "A language and compiler for custom Deep Learning operations" +optional = false +python-versions = "*" +groups = ["main"] +markers = "platform_system == \"Linux\" and python_version == \"3.11\" and platform_machine == \"x86_64\"" +files = [ + {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"}, + {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"}, + {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"}, + {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"}, + {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"}, + {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"}, +] + +[package.dependencies] +filelock = "*" + +[package.extras] +build = ["cmake (>=3.20)", "lit"] +tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"] +tutorials = ["matplotlib", "pandas", "tabulate", "torch"] + +[[package]] +name = "typer" +version = "0.17.4" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.7" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" +files = [ + {file = "typer-0.17.4-py3-none-any.whl", hash = "sha256:015534a6edaa450e7007eba705d5c18c3349dcea50a6ad79a5ed530967575824"}, + {file = "typer-0.17.4.tar.gz", hash = "sha256:b77dc07d849312fd2bb5e7f20a7af8985c7ec360c45b051ed5412f64d8dc1580"}, +] + +[package.dependencies] +click = ">=8.0.0" +rich = ">=10.11.0" +shellingham = ">=1.3.0" +typing-extensions = ">=3.7.4.3" + +[[package]] +name = "types-python-dateutil" +version = "2.9.0.20250822" +description = "Typing stubs for python-dateutil" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "types_python_dateutil-2.9.0.20250822-py3-none-any.whl", hash = "sha256:849d52b737e10a6dc6621d2bd7940ec7c65fcb69e6aa2882acf4e56b2b508ddc"}, + {file = "types_python_dateutil-2.9.0.20250822.tar.gz", hash = "sha256:84c92c34bd8e68b117bff742bc00b692a1e8531262d4507b33afcc9f7716cd53"}, +] + +[[package]] +name = "typing-extensions" +version = "4.15.0" +description = "Backported and Experimental Type Hints for Python 3.9+" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, + {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, +] + +[[package]] +name = "typing-inspection" +version = "0.4.1" +description = "Runtime typing introspection tools" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"}, + {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"}, +] + +[package.dependencies] +typing-extensions = ">=4.12.0" + +[[package]] +name = "tzdata" +version = "2025.2" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +groups = ["main"] +files = [ + {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"}, + {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"}, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +description = "RFC 6570 URI Template Processor" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, + {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, +] + +[package.extras] +dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] + +[[package]] +name = "urllib3" +version = "2.5.0" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc"}, + {file = "urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] +h2 = ["h2 (>=4,<5)"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "uvicorn" +version = "0.35.0" +description = "The lightning-fast ASGI server." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "uvicorn-0.35.0-py3-none-any.whl", hash = "sha256:197535216b25ff9b785e29a0b79199f55222193d47f820816e7da751e9bc8d4a"}, + {file = "uvicorn-0.35.0.tar.gz", hash = "sha256:bc662f087f7cf2ce11a1d7fd70b90c9f98ef2e2831556dd078d131b96cc94a01"}, +] + +[package.dependencies] +click = ">=7.0" +h11 = ">=0.8" + +[package.extras] +standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] + +[[package]] +name = "virtualenv" +version = "20.34.0" +description = "Virtual Python Environment builder" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "virtualenv-20.34.0-py3-none-any.whl", hash = "sha256:341f5afa7eee943e4984a9207c025feedd768baff6753cd660c857ceb3e36026"}, + {file = "virtualenv-20.34.0.tar.gz", hash = "sha256:44815b2c9dee7ed86e387b842a84f20b93f7f417f95886ca1996a72a4138eb1a"}, +] + +[package.dependencies] +distlib = ">=0.3.7,<1" +filelock = ">=3.12.2,<4" +platformdirs = ">=3.9.1,<5" + +[package.extras] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] + +[[package]] +name = "waitress" +version = "3.0.2" +description = "Waitress WSGI server" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +markers = "platform_system == \"Windows\"" +files = [ + {file = "waitress-3.0.2-py3-none-any.whl", hash = "sha256:c56d67fd6e87c2ee598b76abdd4e96cfad1f24cacdea5078d382b1f9d7b5ed2e"}, + {file = "waitress-3.0.2.tar.gz", hash = "sha256:682aaaf2af0c44ada4abfb70ded36393f0e307f4ab9456a215ce0020baefc31f"}, +] + +[package.extras] +docs = ["Sphinx (>=1.8.1)", "docutils", "pylons-sphinx-themes (>=1.0.9)"] +testing = ["coverage (>=7.6.0)", "pytest", "pytest-cov"] + +[[package]] +name = "wcwidth" +version = "0.2.13" +description = "Measures the displayed width of unicode strings in a terminal" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, +] + +[[package]] +name = "webcolors" +version = "24.11.1" +description = "A library for working with the color formats defined by HTML and CSS." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "webcolors-24.11.1-py3-none-any.whl", hash = "sha256:515291393b4cdf0eb19c155749a096f779f7d909f7cceea072791cb9095b92e9"}, + {file = "webcolors-24.11.1.tar.gz", hash = "sha256:ecb3d768f32202af770477b8b65f318fa4f566c22948673a977b00d589dd80f6"}, +] + +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character encoding aliases for legacy web content" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, + {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, +] + +[[package]] +name = "websocket-client" +version = "1.8.0" +description = "WebSocket client for Python with low level API options" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, + {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, +] + +[package.extras] +docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"] +optional = ["python-socks", "wsaccel"] +test = ["websockets"] + +[[package]] +name = "websockets" +version = "15.0.1" +description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"}, + {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205"}, + {file = "websockets-15.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5756779642579d902eed757b21b0164cd6fe338506a8083eb58af5c372e39d9a"}, + {file = "websockets-15.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fdfe3e2a29e4db3659dbd5bbf04560cea53dd9610273917799f1cde46aa725e"}, + {file = "websockets-15.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c2529b320eb9e35af0fa3016c187dffb84a3ecc572bcee7c3ce302bfeba52bf"}, + {file = "websockets-15.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac1e5c9054fe23226fb11e05a6e630837f074174c4c2f0fe442996112a6de4fb"}, + {file = "websockets-15.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5df592cd503496351d6dc14f7cdad49f268d8e618f80dce0cd5a36b93c3fc08d"}, + {file = "websockets-15.0.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0a34631031a8f05657e8e90903e656959234f3a04552259458aac0b0f9ae6fd9"}, + {file = "websockets-15.0.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3d00075aa65772e7ce9e990cab3ff1de702aa09be3940d1dc88d5abf1ab8a09c"}, + {file = "websockets-15.0.1-cp310-cp310-win32.whl", hash = "sha256:1234d4ef35db82f5446dca8e35a7da7964d02c127b095e172e54397fb6a6c256"}, + {file = "websockets-15.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:39c1fec2c11dc8d89bba6b2bf1556af381611a173ac2b511cf7231622058af41"}, + {file = "websockets-15.0.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:823c248b690b2fd9303ba00c4f66cd5e2d8c3ba4aa968b2779be9532a4dad431"}, + {file = "websockets-15.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678999709e68425ae2593acf2e3ebcbcf2e69885a5ee78f9eb80e6e371f1bf57"}, + {file = "websockets-15.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d50fd1ee42388dcfb2b3676132c78116490976f1300da28eb629272d5d93e905"}, + {file = "websockets-15.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d99e5546bf73dbad5bf3547174cd6cb8ba7273062a23808ffea025ecb1cf8562"}, + {file = "websockets-15.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:66dd88c918e3287efc22409d426c8f729688d89a0c587c88971a0faa2c2f3792"}, + {file = "websockets-15.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8dd8327c795b3e3f219760fa603dcae1dcc148172290a8ab15158cf85a953413"}, + {file = "websockets-15.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8fdc51055e6ff4adeb88d58a11042ec9a5eae317a0a53d12c062c8a8865909e8"}, + {file = "websockets-15.0.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:693f0192126df6c2327cce3baa7c06f2a117575e32ab2308f7f8216c29d9e2e3"}, + {file = "websockets-15.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:54479983bd5fb469c38f2f5c7e3a24f9a4e70594cd68cd1fa6b9340dadaff7cf"}, + {file = "websockets-15.0.1-cp311-cp311-win32.whl", hash = "sha256:16b6c1b3e57799b9d38427dda63edcbe4926352c47cf88588c0be4ace18dac85"}, + {file = "websockets-15.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:27ccee0071a0e75d22cb35849b1db43f2ecd3e161041ac1ee9d2352ddf72f065"}, + {file = "websockets-15.0.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:3e90baa811a5d73f3ca0bcbf32064d663ed81318ab225ee4f427ad4e26e5aff3"}, + {file = "websockets-15.0.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:592f1a9fe869c778694f0aa806ba0374e97648ab57936f092fd9d87f8bc03665"}, + {file = "websockets-15.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0701bc3cfcb9164d04a14b149fd74be7347a530ad3bbf15ab2c678a2cd3dd9a2"}, + {file = "websockets-15.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8b56bdcdb4505c8078cb6c7157d9811a85790f2f2b3632c7d1462ab5783d215"}, + {file = "websockets-15.0.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0af68c55afbd5f07986df82831c7bff04846928ea8d1fd7f30052638788bc9b5"}, + {file = "websockets-15.0.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64dee438fed052b52e4f98f76c5790513235efaa1ef7f3f2192c392cd7c91b65"}, + {file = "websockets-15.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d5f6b181bb38171a8ad1d6aa58a67a6aa9d4b38d0f8c5f496b9e42561dfc62fe"}, + {file = "websockets-15.0.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5d54b09eba2bada6011aea5375542a157637b91029687eb4fdb2dab11059c1b4"}, + {file = "websockets-15.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3be571a8b5afed347da347bfcf27ba12b069d9d7f42cb8c7028b5e98bbb12597"}, + {file = "websockets-15.0.1-cp312-cp312-win32.whl", hash = "sha256:c338ffa0520bdb12fbc527265235639fb76e7bc7faafbb93f6ba80d9c06578a9"}, + {file = "websockets-15.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:fcd5cf9e305d7b8338754470cf69cf81f420459dbae8a3b40cee57417f4614a7"}, + {file = "websockets-15.0.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ee443ef070bb3b6ed74514f5efaa37a252af57c90eb33b956d35c8e9c10a1931"}, + {file = "websockets-15.0.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5a939de6b7b4e18ca683218320fc67ea886038265fd1ed30173f5ce3f8e85675"}, + {file = "websockets-15.0.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:746ee8dba912cd6fc889a8147168991d50ed70447bf18bcda7039f7d2e3d9151"}, + {file = "websockets-15.0.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:595b6c3969023ecf9041b2936ac3827e4623bfa3ccf007575f04c5a6aa318c22"}, + {file = "websockets-15.0.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c714d2fc58b5ca3e285461a4cc0c9a66bd0e24c5da9911e30158286c9b5be7f"}, + {file = "websockets-15.0.1-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f3c1e2ab208db911594ae5b4f79addeb3501604a165019dd221c0bdcabe4db8"}, + {file = "websockets-15.0.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:229cf1d3ca6c1804400b0a9790dc66528e08a6a1feec0d5040e8b9eb14422375"}, + {file = "websockets-15.0.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:756c56e867a90fb00177d530dca4b097dd753cde348448a1012ed6c5131f8b7d"}, + {file = "websockets-15.0.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:558d023b3df0bffe50a04e710bc87742de35060580a293c2a984299ed83bc4e4"}, + {file = "websockets-15.0.1-cp313-cp313-win32.whl", hash = "sha256:ba9e56e8ceeeedb2e080147ba85ffcd5cd0711b89576b83784d8605a7df455fa"}, + {file = "websockets-15.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:e09473f095a819042ecb2ab9465aee615bd9c2028e4ef7d933600a8401c79561"}, + {file = "websockets-15.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5f4c04ead5aed67c8a1a20491d54cdfba5884507a48dd798ecaf13c74c4489f5"}, + {file = "websockets-15.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:abdc0c6c8c648b4805c5eacd131910d2a7f6455dfd3becab248ef108e89ab16a"}, + {file = "websockets-15.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a625e06551975f4b7ea7102bc43895b90742746797e2e14b70ed61c43a90f09b"}, + {file = "websockets-15.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d591f8de75824cbb7acad4e05d2d710484f15f29d4a915092675ad3456f11770"}, + {file = "websockets-15.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:47819cea040f31d670cc8d324bb6435c6f133b8c7a19ec3d61634e62f8d8f9eb"}, + {file = "websockets-15.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac017dd64572e5c3bd01939121e4d16cf30e5d7e110a119399cf3133b63ad054"}, + {file = "websockets-15.0.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:4a9fac8e469d04ce6c25bb2610dc535235bd4aa14996b4e6dbebf5e007eba5ee"}, + {file = "websockets-15.0.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:363c6f671b761efcb30608d24925a382497c12c506b51661883c3e22337265ed"}, + {file = "websockets-15.0.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:2034693ad3097d5355bfdacfffcbd3ef5694f9718ab7f29c29689a9eae841880"}, + {file = "websockets-15.0.1-cp39-cp39-win32.whl", hash = "sha256:3b1ac0d3e594bf121308112697cf4b32be538fb1444468fb0a6ae4feebc83411"}, + {file = "websockets-15.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:b7643a03db5c95c799b89b31c036d5f27eeb4d259c798e878d6937d71832b1e4"}, + {file = "websockets-15.0.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0c9e74d766f2818bb95f84c25be4dea09841ac0f734d1966f415e4edfc4ef1c3"}, + {file = "websockets-15.0.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1009ee0c7739c08a0cd59de430d6de452a55e42d6b522de7aa15e6f67db0b8e1"}, + {file = "websockets-15.0.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76d1f20b1c7a2fa82367e04982e708723ba0e7b8d43aa643d3dcd404d74f1475"}, + {file = "websockets-15.0.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f29d80eb9a9263b8d109135351caf568cc3f80b9928bccde535c235de55c22d9"}, + {file = "websockets-15.0.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b359ed09954d7c18bbc1680f380c7301f92c60bf924171629c5db97febb12f04"}, + {file = "websockets-15.0.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:cad21560da69f4ce7658ca2cb83138fb4cf695a2ba3e475e0559e05991aa8122"}, + {file = "websockets-15.0.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7f493881579c90fc262d9cdbaa05a6b54b3811c2f300766748db79f098db9940"}, + {file = "websockets-15.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:47b099e1f4fbc95b701b6e85768e1fcdaf1630f3cbe4765fa216596f12310e2e"}, + {file = "websockets-15.0.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:67f2b6de947f8c757db2db9c71527933ad0019737ec374a8a6be9a956786aaf9"}, + {file = "websockets-15.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d08eb4c2b7d6c41da6ca0600c077e93f5adcfd979cd777d747e9ee624556da4b"}, + {file = "websockets-15.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b826973a4a2ae47ba357e4e82fa44a463b8f168e1ca775ac64521442b19e87f"}, + {file = "websockets-15.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:21c1fa28a6a7e3cbdc171c694398b6df4744613ce9b36b1a498e816787e28123"}, + {file = "websockets-15.0.1-py3-none-any.whl", hash = "sha256:f7a866fbc1e97b5c617ee4116daaa09b722101d4a3c170c787450ba409f9736f"}, + {file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"}, +] + +[[package]] +name = "werkzeug" +version = "3.1.3" +description = "The comprehensive WSGI web application library." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"}, + {file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"}, +] + +[package.dependencies] +MarkupSafe = ">=2.1.1" + +[package.extras] +watchdog = ["watchdog (>=2.3)"] + +[[package]] +name = "widgetsnbextension" +version = "4.0.14" +description = "Jupyter interactive widgets for Jupyter Notebook" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "widgetsnbextension-4.0.14-py3-none-any.whl", hash = "sha256:4875a9eaf72fbf5079dc372a51a9f268fc38d46f767cbf85c43a36da5cb9b575"}, + {file = "widgetsnbextension-4.0.14.tar.gz", hash = "sha256:a3629b04e3edb893212df862038c7232f62973373869db5084aed739b437b5af"}, +] + +[[package]] +name = "xxhash" +version = "3.5.0" +description = "Python binding for xxHash" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"}, + {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"}, + {file = "xxhash-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c5d3e570ef46adaf93fc81b44aca6002b5a4d8ca11bd0580c07eac537f36680"}, + {file = "xxhash-3.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7cb29a034301e2982df8b1fe6328a84f4b676106a13e9135a0d7e0c3e9f806da"}, + {file = "xxhash-3.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d0d307d27099bb0cbeea7260eb39ed4fdb99c5542e21e94bb6fd29e49c57a23"}, + {file = "xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0342aafd421795d740e514bc9858ebddfc705a75a8c5046ac56d85fe97bf196"}, + {file = "xxhash-3.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3dbbd9892c5ebffeca1ed620cf0ade13eb55a0d8c84e0751a6653adc6ac40d0c"}, + {file = "xxhash-3.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4cc2d67fdb4d057730c75a64c5923abfa17775ae234a71b0200346bfb0a7f482"}, + {file = "xxhash-3.5.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:ec28adb204b759306a3d64358a5e5c07d7b1dd0ccbce04aa76cb9377b7b70296"}, + {file = "xxhash-3.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1328f6d8cca2b86acb14104e381225a3d7b42c92c4b86ceae814e5c400dbb415"}, + {file = "xxhash-3.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:8d47ebd9f5d9607fd039c1fbf4994e3b071ea23eff42f4ecef246ab2b7334198"}, + {file = "xxhash-3.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b96d559e0fcddd3343c510a0fe2b127fbff16bf346dd76280b82292567523442"}, + {file = "xxhash-3.5.0-cp310-cp310-win32.whl", hash = "sha256:61c722ed8d49ac9bc26c7071eeaa1f6ff24053d553146d5df031802deffd03da"}, + {file = "xxhash-3.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:9bed5144c6923cc902cd14bb8963f2d5e034def4486ab0bbe1f58f03f042f9a9"}, + {file = "xxhash-3.5.0-cp310-cp310-win_arm64.whl", hash = "sha256:893074d651cf25c1cc14e3bea4fceefd67f2921b1bb8e40fcfeba56820de80c6"}, + {file = "xxhash-3.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:02c2e816896dc6f85922ced60097bcf6f008dedfc5073dcba32f9c8dd786f3c1"}, + {file = "xxhash-3.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6027dcd885e21581e46d3c7f682cfb2b870942feeed58a21c29583512c3f09f8"}, + {file = "xxhash-3.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1308fa542bbdbf2fa85e9e66b1077eea3a88bef38ee8a06270b4298a7a62a166"}, + {file = "xxhash-3.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c28b2fdcee797e1c1961cd3bcd3d545cab22ad202c846235197935e1df2f8ef7"}, + {file = "xxhash-3.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:924361811732ddad75ff23e90efd9ccfda4f664132feecb90895bade6a1b4623"}, + {file = "xxhash-3.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89997aa1c4b6a5b1e5b588979d1da048a3c6f15e55c11d117a56b75c84531f5a"}, + {file = "xxhash-3.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:685c4f4e8c59837de103344eb1c8a3851f670309eb5c361f746805c5471b8c88"}, + {file = "xxhash-3.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dbd2ecfbfee70bc1a4acb7461fa6af7748ec2ab08ac0fa298f281c51518f982c"}, + {file = "xxhash-3.5.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:25b5a51dc3dfb20a10833c8eee25903fd2e14059e9afcd329c9da20609a307b2"}, + {file = "xxhash-3.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a8fb786fb754ef6ff8c120cb96629fb518f8eb5a61a16aac3a979a9dbd40a084"}, + {file = "xxhash-3.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:a905ad00ad1e1c34fe4e9d7c1d949ab09c6fa90c919860c1534ff479f40fd12d"}, + {file = "xxhash-3.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:963be41bcd49f53af6d795f65c0da9b4cc518c0dd9c47145c98f61cb464f4839"}, + {file = "xxhash-3.5.0-cp311-cp311-win32.whl", hash = "sha256:109b436096d0a2dd039c355fa3414160ec4d843dfecc64a14077332a00aeb7da"}, + {file = "xxhash-3.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:b702f806693201ad6c0a05ddbbe4c8f359626d0b3305f766077d51388a6bac58"}, + {file = "xxhash-3.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:c4dcb4120d0cc3cc448624147dba64e9021b278c63e34a38789b688fd0da9bf3"}, + {file = "xxhash-3.5.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:14470ace8bd3b5d51318782cd94e6f94431974f16cb3b8dc15d52f3b69df8e00"}, + {file = "xxhash-3.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:59aa1203de1cb96dbeab595ded0ad0c0056bb2245ae11fac11c0ceea861382b9"}, + {file = "xxhash-3.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08424f6648526076e28fae6ea2806c0a7d504b9ef05ae61d196d571e5c879c84"}, + {file = "xxhash-3.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:61a1ff00674879725b194695e17f23d3248998b843eb5e933007ca743310f793"}, + {file = "xxhash-3.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f2f2c61bee5844d41c3eb015ac652a0229e901074951ae48581d58bfb2ba01be"}, + {file = "xxhash-3.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d32a592cac88d18cc09a89172e1c32d7f2a6e516c3dfde1b9adb90ab5df54a6"}, + {file = "xxhash-3.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:70dabf941dede727cca579e8c205e61121afc9b28516752fd65724be1355cc90"}, + {file = "xxhash-3.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e5d0ddaca65ecca9c10dcf01730165fd858533d0be84c75c327487c37a906a27"}, + {file = "xxhash-3.5.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:3e5b5e16c5a480fe5f59f56c30abdeba09ffd75da8d13f6b9b6fd224d0b4d0a2"}, + {file = "xxhash-3.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:149b7914451eb154b3dfaa721315117ea1dac2cc55a01bfbd4df7c68c5dd683d"}, + {file = "xxhash-3.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:eade977f5c96c677035ff39c56ac74d851b1cca7d607ab3d8f23c6b859379cab"}, + {file = "xxhash-3.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fa9f547bd98f5553d03160967866a71056a60960be00356a15ecc44efb40ba8e"}, + {file = "xxhash-3.5.0-cp312-cp312-win32.whl", hash = "sha256:f7b58d1fd3551b8c80a971199543379be1cee3d0d409e1f6d8b01c1a2eebf1f8"}, + {file = "xxhash-3.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:fa0cafd3a2af231b4e113fba24a65d7922af91aeb23774a8b78228e6cd785e3e"}, + {file = "xxhash-3.5.0-cp312-cp312-win_arm64.whl", hash = "sha256:586886c7e89cb9828bcd8a5686b12e161368e0064d040e225e72607b43858ba2"}, + {file = "xxhash-3.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:37889a0d13b0b7d739cfc128b1c902f04e32de17b33d74b637ad42f1c55101f6"}, + {file = "xxhash-3.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:97a662338797c660178e682f3bc180277b9569a59abfb5925e8620fba00b9fc5"}, + {file = "xxhash-3.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f85e0108d51092bdda90672476c7d909c04ada6923c14ff9d913c4f7dc8a3bc"}, + {file = "xxhash-3.5.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cd2fd827b0ba763ac919440042302315c564fdb797294d86e8cdd4578e3bc7f3"}, + {file = "xxhash-3.5.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:82085c2abec437abebf457c1d12fccb30cc8b3774a0814872511f0f0562c768c"}, + {file = "xxhash-3.5.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07fda5de378626e502b42b311b049848c2ef38784d0d67b6f30bb5008642f8eb"}, + {file = "xxhash-3.5.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c279f0d2b34ef15f922b77966640ade58b4ccdfef1c4d94b20f2a364617a493f"}, + {file = "xxhash-3.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:89e66ceed67b213dec5a773e2f7a9e8c58f64daeb38c7859d8815d2c89f39ad7"}, + {file = "xxhash-3.5.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:bcd51708a633410737111e998ceb3b45d3dbc98c0931f743d9bb0a209033a326"}, + {file = "xxhash-3.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3ff2c0a34eae7df88c868be53a8dd56fbdf592109e21d4bfa092a27b0bf4a7bf"}, + {file = "xxhash-3.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:4e28503dccc7d32e0b9817aa0cbfc1f45f563b2c995b7a66c4c8a0d232e840c7"}, + {file = "xxhash-3.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a6c50017518329ed65a9e4829154626f008916d36295b6a3ba336e2458824c8c"}, + {file = "xxhash-3.5.0-cp313-cp313-win32.whl", hash = "sha256:53a068fe70301ec30d868ece566ac90d873e3bb059cf83c32e76012c889b8637"}, + {file = "xxhash-3.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:80babcc30e7a1a484eab952d76a4f4673ff601f54d5142c26826502740e70b43"}, + {file = "xxhash-3.5.0-cp313-cp313-win_arm64.whl", hash = "sha256:4811336f1ce11cac89dcbd18f3a25c527c16311709a89313c3acaf771def2d4b"}, + {file = "xxhash-3.5.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6e5f70f6dca1d3b09bccb7daf4e087075ff776e3da9ac870f86ca316736bb4aa"}, + {file = "xxhash-3.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e76e83efc7b443052dd1e585a76201e40b3411fe3da7af4fe434ec51b2f163b"}, + {file = "xxhash-3.5.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:33eac61d0796ca0591f94548dcfe37bb193671e0c9bcf065789b5792f2eda644"}, + {file = "xxhash-3.5.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ec70a89be933ea49222fafc3999987d7899fc676f688dd12252509434636622"}, + {file = "xxhash-3.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd86b8e7f703ec6ff4f351cfdb9f428955859537125904aa8c963604f2e9d3e7"}, + {file = "xxhash-3.5.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0adfbd36003d9f86c8c97110039f7539b379f28656a04097e7434d3eaf9aa131"}, + {file = "xxhash-3.5.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:63107013578c8a730419adc05608756c3fa640bdc6abe806c3123a49fb829f43"}, + {file = "xxhash-3.5.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:683b94dbd1ca67557850b86423318a2e323511648f9f3f7b1840408a02b9a48c"}, + {file = "xxhash-3.5.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:5d2a01dcce81789cf4b12d478b5464632204f4c834dc2d064902ee27d2d1f0ee"}, + {file = "xxhash-3.5.0-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:a9d360a792cbcce2fe7b66b8d51274ec297c53cbc423401480e53b26161a290d"}, + {file = "xxhash-3.5.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:f0b48edbebea1b7421a9c687c304f7b44d0677c46498a046079d445454504737"}, + {file = "xxhash-3.5.0-cp37-cp37m-win32.whl", hash = "sha256:7ccb800c9418e438b44b060a32adeb8393764da7441eb52aa2aa195448935306"}, + {file = "xxhash-3.5.0-cp37-cp37m-win_amd64.whl", hash = "sha256:c3bc7bf8cb8806f8d1c9bf149c18708cb1c406520097d6b0a73977460ea03602"}, + {file = "xxhash-3.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:74752ecaa544657d88b1d1c94ae68031e364a4d47005a90288f3bab3da3c970f"}, + {file = "xxhash-3.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:dee1316133c9b463aa81aca676bc506d3f80d8f65aeb0bba2b78d0b30c51d7bd"}, + {file = "xxhash-3.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:602d339548d35a8579c6b013339fb34aee2df9b4e105f985443d2860e4d7ffaa"}, + {file = "xxhash-3.5.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:695735deeddfb35da1677dbc16a083445360e37ff46d8ac5c6fcd64917ff9ade"}, + {file = "xxhash-3.5.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1030a39ba01b0c519b1a82f80e8802630d16ab95dc3f2b2386a0b5c8ed5cbb10"}, + {file = "xxhash-3.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5bc08f33c4966f4eb6590d6ff3ceae76151ad744576b5fc6c4ba8edd459fdec"}, + {file = "xxhash-3.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:160e0c19ee500482ddfb5d5570a0415f565d8ae2b3fd69c5dcfce8a58107b1c3"}, + {file = "xxhash-3.5.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:f1abffa122452481a61c3551ab3c89d72238e279e517705b8b03847b1d93d738"}, + {file = "xxhash-3.5.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:d5e9db7ef3ecbfc0b4733579cea45713a76852b002cf605420b12ef3ef1ec148"}, + {file = "xxhash-3.5.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:23241ff6423378a731d84864bf923a41649dc67b144debd1077f02e6249a0d54"}, + {file = "xxhash-3.5.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:82b833d5563fefd6fceafb1aed2f3f3ebe19f84760fdd289f8b926731c2e6e91"}, + {file = "xxhash-3.5.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:0a80ad0ffd78bef9509eee27b4a29e56f5414b87fb01a888353e3d5bda7038bd"}, + {file = "xxhash-3.5.0-cp38-cp38-win32.whl", hash = "sha256:50ac2184ffb1b999e11e27c7e3e70cc1139047e7ebc1aa95ed12f4269abe98d4"}, + {file = "xxhash-3.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:392f52ebbb932db566973693de48f15ce787cabd15cf6334e855ed22ea0be5b3"}, + {file = "xxhash-3.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bfc8cdd7f33d57f0468b0614ae634cc38ab9202c6957a60e31d285a71ebe0301"}, + {file = "xxhash-3.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e0c48b6300cd0b0106bf49169c3e0536408dfbeb1ccb53180068a18b03c662ab"}, + {file = "xxhash-3.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fe1a92cfbaa0a1253e339ccec42dbe6db262615e52df591b68726ab10338003f"}, + {file = "xxhash-3.5.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:33513d6cc3ed3b559134fb307aae9bdd94d7e7c02907b37896a6c45ff9ce51bd"}, + {file = "xxhash-3.5.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eefc37f6138f522e771ac6db71a6d4838ec7933939676f3753eafd7d3f4c40bc"}, + {file = "xxhash-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a606c8070ada8aa2a88e181773fa1ef17ba65ce5dd168b9d08038e2a61b33754"}, + {file = "xxhash-3.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:42eca420c8fa072cc1dd62597635d140e78e384a79bb4944f825fbef8bfeeef6"}, + {file = "xxhash-3.5.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:604253b2143e13218ff1ef0b59ce67f18b8bd1c4205d2ffda22b09b426386898"}, + {file = "xxhash-3.5.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:6e93a5ad22f434d7876665444a97e713a8f60b5b1a3521e8df11b98309bff833"}, + {file = "xxhash-3.5.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:7a46e1d6d2817ba8024de44c4fd79913a90e5f7265434cef97026215b7d30df6"}, + {file = "xxhash-3.5.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:30eb2efe6503c379b7ab99c81ba4a779748e3830241f032ab46bd182bf5873af"}, + {file = "xxhash-3.5.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c8aa771ff2c13dd9cda8166d685d7333d389fae30a4d2bb39d63ab5775de8606"}, + {file = "xxhash-3.5.0-cp39-cp39-win32.whl", hash = "sha256:5ed9ebc46f24cf91034544b26b131241b699edbfc99ec5e7f8f3d02d6eb7fba4"}, + {file = "xxhash-3.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:220f3f896c6b8d0316f63f16c077d52c412619e475f9372333474ee15133a558"}, + {file = "xxhash-3.5.0-cp39-cp39-win_arm64.whl", hash = "sha256:a7b1d8315d9b5e9f89eb2933b73afae6ec9597a258d52190944437158b49d38e"}, + {file = "xxhash-3.5.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:2014c5b3ff15e64feecb6b713af12093f75b7926049e26a580e94dcad3c73d8c"}, + {file = "xxhash-3.5.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fab81ef75003eda96239a23eda4e4543cedc22e34c373edcaf744e721a163986"}, + {file = "xxhash-3.5.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e2febf914ace002132aa09169cc572e0d8959d0f305f93d5828c4836f9bc5a6"}, + {file = "xxhash-3.5.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5d3a10609c51da2a1c0ea0293fc3968ca0a18bd73838455b5bca3069d7f8e32b"}, + {file = "xxhash-3.5.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5a74f23335b9689b66eb6dbe2a931a88fcd7a4c2cc4b1cb0edba8ce381c7a1da"}, + {file = "xxhash-3.5.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2b4154c00eb22e4d543f472cfca430e7962a0f1d0f3778334f2e08a7ba59363c"}, + {file = "xxhash-3.5.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d30bbc1644f726b825b3278764240f449d75f1a8bdda892e641d4a688b1494ae"}, + {file = "xxhash-3.5.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa0b72f2423e2aa53077e54a61c28e181d23effeaafd73fcb9c494e60930c8e"}, + {file = "xxhash-3.5.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:13de2b76c1835399b2e419a296d5b38dc4855385d9e96916299170085ef72f57"}, + {file = "xxhash-3.5.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:0691bfcc4f9c656bcb96cc5db94b4d75980b9d5589f2e59de790091028580837"}, + {file = "xxhash-3.5.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:297595fe6138d4da2c8ce9e72a04d73e58725bb60f3a19048bc96ab2ff31c692"}, + {file = "xxhash-3.5.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc1276d369452040cbb943300dc8abeedab14245ea44056a2943183822513a18"}, + {file = "xxhash-3.5.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2061188a1ba352fc699c82bff722f4baacb4b4b8b2f0c745d2001e56d0dfb514"}, + {file = "xxhash-3.5.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38c384c434021e4f62b8d9ba0bc9467e14d394893077e2c66d826243025e1f81"}, + {file = "xxhash-3.5.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e6a4dd644d72ab316b580a1c120b375890e4c52ec392d4aef3c63361ec4d77d1"}, + {file = "xxhash-3.5.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:531af8845aaadcadf951b7e0c1345c6b9c68a990eeb74ff9acd8501a0ad6a1c9"}, + {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ce379bcaa9fcc00f19affa7773084dd09f5b59947b3fb47a1ceb0179f91aaa1"}, + {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd1b2281d01723f076df3c8188f43f2472248a6b63118b036e641243656b1b0f"}, + {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9c770750cc80e8694492244bca7251385188bc5597b6a39d98a9f30e8da984e0"}, + {file = "xxhash-3.5.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b150b8467852e1bd844387459aa6fbe11d7f38b56e901f9f3b3e6aba0d660240"}, + {file = "xxhash-3.5.0.tar.gz", hash = "sha256:84f2caddf951c9cbf8dc2e22a89d4ccf5d86391ac6418fe81e3c67d0cf60b45f"}, +] + +[[package]] +name = "yarl" +version = "1.20.1" +description = "Yet another URL library" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "yarl-1.20.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6032e6da6abd41e4acda34d75a816012717000fa6839f37124a47fcefc49bec4"}, + {file = "yarl-1.20.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2c7b34d804b8cf9b214f05015c4fee2ebe7ed05cf581e7192c06555c71f4446a"}, + {file = "yarl-1.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0c869f2651cc77465f6cd01d938d91a11d9ea5d798738c1dc077f3de0b5e5fed"}, + {file = "yarl-1.20.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62915e6688eb4d180d93840cda4110995ad50c459bf931b8b3775b37c264af1e"}, + {file = "yarl-1.20.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:41ebd28167bc6af8abb97fec1a399f412eec5fd61a3ccbe2305a18b84fb4ca73"}, + {file = "yarl-1.20.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:21242b4288a6d56f04ea193adde174b7e347ac46ce6bc84989ff7c1b1ecea84e"}, + {file = "yarl-1.20.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bea21cdae6c7eb02ba02a475f37463abfe0a01f5d7200121b03e605d6a0439f8"}, + {file = "yarl-1.20.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f8a891e4a22a89f5dde7862994485e19db246b70bb288d3ce73a34422e55b23"}, + {file = "yarl-1.20.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dd803820d44c8853a109a34e3660e5a61beae12970da479cf44aa2954019bf70"}, + {file = "yarl-1.20.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b982fa7f74c80d5c0c7b5b38f908971e513380a10fecea528091405f519b9ebb"}, + {file = "yarl-1.20.1-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:33f29ecfe0330c570d997bcf1afd304377f2e48f61447f37e846a6058a4d33b2"}, + {file = "yarl-1.20.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:835ab2cfc74d5eb4a6a528c57f05688099da41cf4957cf08cad38647e4a83b30"}, + {file = "yarl-1.20.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:46b5e0ccf1943a9a6e766b2c2b8c732c55b34e28be57d8daa2b3c1d1d4009309"}, + {file = "yarl-1.20.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:df47c55f7d74127d1b11251fe6397d84afdde0d53b90bedb46a23c0e534f9d24"}, + {file = "yarl-1.20.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:76d12524d05841276b0e22573f28d5fbcb67589836772ae9244d90dd7d66aa13"}, + {file = "yarl-1.20.1-cp310-cp310-win32.whl", hash = "sha256:6c4fbf6b02d70e512d7ade4b1f998f237137f1417ab07ec06358ea04f69134f8"}, + {file = "yarl-1.20.1-cp310-cp310-win_amd64.whl", hash = "sha256:aef6c4d69554d44b7f9d923245f8ad9a707d971e6209d51279196d8e8fe1ae16"}, + {file = "yarl-1.20.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:47ee6188fea634bdfaeb2cc420f5b3b17332e6225ce88149a17c413c77ff269e"}, + {file = "yarl-1.20.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d0f6500f69e8402d513e5eedb77a4e1818691e8f45e6b687147963514d84b44b"}, + {file = "yarl-1.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7a8900a42fcdaad568de58887c7b2f602962356908eedb7628eaf6021a6e435b"}, + {file = "yarl-1.20.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bad6d131fda8ef508b36be3ece16d0902e80b88ea7200f030a0f6c11d9e508d4"}, + {file = "yarl-1.20.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:df018d92fe22aaebb679a7f89fe0c0f368ec497e3dda6cb81a567610f04501f1"}, + {file = "yarl-1.20.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f969afbb0a9b63c18d0feecf0db09d164b7a44a053e78a7d05f5df163e43833"}, + {file = "yarl-1.20.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:812303eb4aa98e302886ccda58d6b099e3576b1b9276161469c25803a8db277d"}, + {file = "yarl-1.20.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98c4a7d166635147924aa0bf9bfe8d8abad6fffa6102de9c99ea04a1376f91e8"}, + {file = "yarl-1.20.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:12e768f966538e81e6e7550f9086a6236b16e26cd964cf4df35349970f3551cf"}, + {file = "yarl-1.20.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fe41919b9d899661c5c28a8b4b0acf704510b88f27f0934ac7a7bebdd8938d5e"}, + {file = "yarl-1.20.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:8601bc010d1d7780592f3fc1bdc6c72e2b6466ea34569778422943e1a1f3c389"}, + {file = "yarl-1.20.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:daadbdc1f2a9033a2399c42646fbd46da7992e868a5fe9513860122d7fe7a73f"}, + {file = "yarl-1.20.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:03aa1e041727cb438ca762628109ef1333498b122e4c76dd858d186a37cec845"}, + {file = "yarl-1.20.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:642980ef5e0fa1de5fa96d905c7e00cb2c47cb468bfcac5a18c58e27dbf8d8d1"}, + {file = "yarl-1.20.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:86971e2795584fe8c002356d3b97ef6c61862720eeff03db2a7c86b678d85b3e"}, + {file = "yarl-1.20.1-cp311-cp311-win32.whl", hash = "sha256:597f40615b8d25812f14562699e287f0dcc035d25eb74da72cae043bb884d773"}, + {file = "yarl-1.20.1-cp311-cp311-win_amd64.whl", hash = "sha256:26ef53a9e726e61e9cd1cda6b478f17e350fb5800b4bd1cd9fe81c4d91cfeb2e"}, + {file = "yarl-1.20.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdcc4cd244e58593a4379fe60fdee5ac0331f8eb70320a24d591a3be197b94a9"}, + {file = "yarl-1.20.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b29a2c385a5f5b9c7d9347e5812b6f7ab267193c62d282a540b4fc528c8a9d2a"}, + {file = "yarl-1.20.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1112ae8154186dfe2de4732197f59c05a83dc814849a5ced892b708033f40dc2"}, + {file = "yarl-1.20.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:90bbd29c4fe234233f7fa2b9b121fb63c321830e5d05b45153a2ca68f7d310ee"}, + {file = "yarl-1.20.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:680e19c7ce3710ac4cd964e90dad99bf9b5029372ba0c7cbfcd55e54d90ea819"}, + {file = "yarl-1.20.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4a979218c1fdb4246a05efc2cc23859d47c89af463a90b99b7c56094daf25a16"}, + {file = "yarl-1.20.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255b468adf57b4a7b65d8aad5b5138dce6a0752c139965711bdcb81bc370e1b6"}, + {file = "yarl-1.20.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a97d67108e79cfe22e2b430d80d7571ae57d19f17cda8bb967057ca8a7bf5bfd"}, + {file = "yarl-1.20.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8570d998db4ddbfb9a590b185a0a33dbf8aafb831d07a5257b4ec9948df9cb0a"}, + {file = "yarl-1.20.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:97c75596019baae7c71ccf1d8cc4738bc08134060d0adfcbe5642f778d1dca38"}, + {file = "yarl-1.20.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:1c48912653e63aef91ff988c5432832692ac5a1d8f0fb8a33091520b5bbe19ef"}, + {file = "yarl-1.20.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4c3ae28f3ae1563c50f3d37f064ddb1511ecc1d5584e88c6b7c63cf7702a6d5f"}, + {file = "yarl-1.20.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c5e9642f27036283550f5f57dc6156c51084b458570b9d0d96100c8bebb186a8"}, + {file = "yarl-1.20.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:2c26b0c49220d5799f7b22c6838409ee9bc58ee5c95361a4d7831f03cc225b5a"}, + {file = "yarl-1.20.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:564ab3d517e3d01c408c67f2e5247aad4019dcf1969982aba3974b4093279004"}, + {file = "yarl-1.20.1-cp312-cp312-win32.whl", hash = "sha256:daea0d313868da1cf2fac6b2d3a25c6e3a9e879483244be38c8e6a41f1d876a5"}, + {file = "yarl-1.20.1-cp312-cp312-win_amd64.whl", hash = "sha256:48ea7d7f9be0487339828a4de0360d7ce0efc06524a48e1810f945c45b813698"}, + {file = "yarl-1.20.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:0b5ff0fbb7c9f1b1b5ab53330acbfc5247893069e7716840c8e7d5bb7355038a"}, + {file = "yarl-1.20.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:14f326acd845c2b2e2eb38fb1346c94f7f3b01a4f5c788f8144f9b630bfff9a3"}, + {file = "yarl-1.20.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f60e4ad5db23f0b96e49c018596707c3ae89f5d0bd97f0ad3684bcbad899f1e7"}, + {file = "yarl-1.20.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:49bdd1b8e00ce57e68ba51916e4bb04461746e794e7c4d4bbc42ba2f18297691"}, + {file = "yarl-1.20.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:66252d780b45189975abfed839616e8fd2dbacbdc262105ad7742c6ae58f3e31"}, + {file = "yarl-1.20.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59174e7332f5d153d8f7452a102b103e2e74035ad085f404df2e40e663a22b28"}, + {file = "yarl-1.20.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e3968ec7d92a0c0f9ac34d5ecfd03869ec0cab0697c91a45db3fbbd95fe1b653"}, + {file = "yarl-1.20.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1a4fbb50e14396ba3d375f68bfe02215d8e7bc3ec49da8341fe3157f59d2ff5"}, + {file = "yarl-1.20.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11a62c839c3a8eac2410e951301309426f368388ff2f33799052787035793b02"}, + {file = "yarl-1.20.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:041eaa14f73ff5a8986b4388ac6bb43a77f2ea09bf1913df7a35d4646db69e53"}, + {file = "yarl-1.20.1-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:377fae2fef158e8fd9d60b4c8751387b8d1fb121d3d0b8e9b0be07d1b41e83dc"}, + {file = "yarl-1.20.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:1c92f4390e407513f619d49319023664643d3339bd5e5a56a3bebe01bc67ec04"}, + {file = "yarl-1.20.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:d25ddcf954df1754ab0f86bb696af765c5bfaba39b74095f27eececa049ef9a4"}, + {file = "yarl-1.20.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:909313577e9619dcff8c31a0ea2aa0a2a828341d92673015456b3ae492e7317b"}, + {file = "yarl-1.20.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:793fd0580cb9664548c6b83c63b43c477212c0260891ddf86809e1c06c8b08f1"}, + {file = "yarl-1.20.1-cp313-cp313-win32.whl", hash = "sha256:468f6e40285de5a5b3c44981ca3a319a4b208ccc07d526b20b12aeedcfa654b7"}, + {file = "yarl-1.20.1-cp313-cp313-win_amd64.whl", hash = "sha256:495b4ef2fea40596bfc0affe3837411d6aa3371abcf31aac0ccc4bdd64d4ef5c"}, + {file = "yarl-1.20.1-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:f60233b98423aab21d249a30eb27c389c14929f47be8430efa7dbd91493a729d"}, + {file = "yarl-1.20.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:6f3eff4cc3f03d650d8755c6eefc844edde99d641d0dcf4da3ab27141a5f8ddf"}, + {file = "yarl-1.20.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:69ff8439d8ba832d6bed88af2c2b3445977eba9a4588b787b32945871c2444e3"}, + {file = "yarl-1.20.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cf34efa60eb81dd2645a2e13e00bb98b76c35ab5061a3989c7a70f78c85006d"}, + {file = "yarl-1.20.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:8e0fe9364ad0fddab2688ce72cb7a8e61ea42eff3c7caeeb83874a5d479c896c"}, + {file = "yarl-1.20.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f64fbf81878ba914562c672024089e3401974a39767747691c65080a67b18c1"}, + {file = "yarl-1.20.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f6342d643bf9a1de97e512e45e4b9560a043347e779a173250824f8b254bd5ce"}, + {file = "yarl-1.20.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56dac5f452ed25eef0f6e3c6a066c6ab68971d96a9fb441791cad0efba6140d3"}, + {file = "yarl-1.20.1-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c7d7f497126d65e2cad8dc5f97d34c27b19199b6414a40cb36b52f41b79014be"}, + {file = "yarl-1.20.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:67e708dfb8e78d8a19169818eeb5c7a80717562de9051bf2413aca8e3696bf16"}, + {file = "yarl-1.20.1-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:595c07bc79af2494365cc96ddeb772f76272364ef7c80fb892ef9d0649586513"}, + {file = "yarl-1.20.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:7bdd2f80f4a7df852ab9ab49484a4dee8030023aa536df41f2d922fd57bf023f"}, + {file = "yarl-1.20.1-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:c03bfebc4ae8d862f853a9757199677ab74ec25424d0ebd68a0027e9c639a390"}, + {file = "yarl-1.20.1-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:344d1103e9c1523f32a5ed704d576172d2cabed3122ea90b1d4e11fe17c66458"}, + {file = "yarl-1.20.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:88cab98aa4e13e1ade8c141daeedd300a4603b7132819c484841bb7af3edce9e"}, + {file = "yarl-1.20.1-cp313-cp313t-win32.whl", hash = "sha256:b121ff6a7cbd4abc28985b6028235491941b9fe8fe226e6fdc539c977ea1739d"}, + {file = "yarl-1.20.1-cp313-cp313t-win_amd64.whl", hash = "sha256:541d050a355bbbc27e55d906bc91cb6fe42f96c01413dd0f4ed5a5240513874f"}, + {file = "yarl-1.20.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e42ba79e2efb6845ebab49c7bf20306c4edf74a0b20fc6b2ccdd1a219d12fad3"}, + {file = "yarl-1.20.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:41493b9b7c312ac448b7f0a42a089dffe1d6e6e981a2d76205801a023ed26a2b"}, + {file = "yarl-1.20.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f5a5928ff5eb13408c62a968ac90d43f8322fd56d87008b8f9dabf3c0f6ee983"}, + {file = "yarl-1.20.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30c41ad5d717b3961b2dd785593b67d386b73feca30522048d37298fee981805"}, + {file = "yarl-1.20.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:59febc3969b0781682b469d4aca1a5cab7505a4f7b85acf6db01fa500fa3f6ba"}, + {file = "yarl-1.20.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d2b6fb3622b7e5bf7a6e5b679a69326b4279e805ed1699d749739a61d242449e"}, + {file = "yarl-1.20.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:749d73611db8d26a6281086f859ea7ec08f9c4c56cec864e52028c8b328db723"}, + {file = "yarl-1.20.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9427925776096e664c39e131447aa20ec738bdd77c049c48ea5200db2237e000"}, + {file = "yarl-1.20.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff70f32aa316393eaf8222d518ce9118148eddb8a53073c2403863b41033eed5"}, + {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:c7ddf7a09f38667aea38801da8b8d6bfe81df767d9dfc8c88eb45827b195cd1c"}, + {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:57edc88517d7fc62b174fcfb2e939fbc486a68315d648d7e74d07fac42cec240"}, + {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:dab096ce479d5894d62c26ff4f699ec9072269d514b4edd630a393223f45a0ee"}, + {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:14a85f3bd2d7bb255be7183e5d7d6e70add151a98edf56a770d6140f5d5f4010"}, + {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:2c89b5c792685dd9cd3fa9761c1b9f46fc240c2a3265483acc1565769996a3f8"}, + {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:69e9b141de5511021942a6866990aea6d111c9042235de90e08f94cf972ca03d"}, + {file = "yarl-1.20.1-cp39-cp39-win32.whl", hash = "sha256:b5f307337819cdfdbb40193cad84978a029f847b0a357fbe49f712063cfc4f06"}, + {file = "yarl-1.20.1-cp39-cp39-win_amd64.whl", hash = "sha256:eae7bfe2069f9c1c5b05fc7fe5d612e5bbc089a39309904ee8b829e322dcad00"}, + {file = "yarl-1.20.1-py3-none-any.whl", hash = "sha256:83b8eb083fe4683c6115795d9fc1cfaf2cbbefb19b3a1cb68f6527460f483a77"}, + {file = "yarl-1.20.1.tar.gz", hash = "sha256:d017a4997ee50c91fd5466cef416231bb82177b93b029906cefc542ce14c35ac"}, +] + +[package.dependencies] +idna = ">=2.0" +multidict = ">=4.0" +propcache = ">=0.2.1" + +[[package]] +name = "zipp" +version = "3.23.0" +description = "Backport of pathlib-compatible object wrapper for zip files" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, + {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, +] + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + +[metadata] +lock-version = "2.1" +python-versions = ">=3.11,<4.0" +content-hash = "f4ac7940883bdf3fab365a634e5be933f96a2327acbd4340fe194bceafeb7c06" diff --git a/apps/whisper_fine_tuning/pyproject.toml b/apps/whisper_fine_tuning/pyproject.toml new file mode 100644 index 0000000..2ae5a24 --- /dev/null +++ b/apps/whisper_fine_tuning/pyproject.toml @@ -0,0 +1,48 @@ +[tool.poetry] +name = "whisper-ft" +version = "0.1.0" +description = "" +authors = ["Karina Assini "] + +[tool.poetry.dependencies] +python = ">=3.11,<4.0" +pyarrow="16.1.0" +ipywidgets = "*" +torch = "*" # note: prefer installing via conda for correct wheels +torchcodec = "*" +accelerate = "*" +notebook = "*" +jupyterlab = "*" +evaluate = "*" +datasets = "*" +torchvision = "*" # prefer conda for native wheels +peft = "*" +black = "*" +ipykernel = "*" +numpy = "*" +pandas = "*" +pre-commit = "*" +python-dotenv = "*" +transformers = "*" +tokenizers = "*" +jiwer = "*" +gradio = "*" +loralib = "*" +soundfile = ">=0.13.1,<0.14.0" +ffmpeg-python = "<7" +librosa="*" +mlflow="<3.0.0" +azureml-mlflow="1.60.0.post1" +bitsandbytes="*" +torchaudio="*" +pytorch_lightning="*" +nemo="*" +# nemo_toolkit = { version = "==1.23.0", extras = ["asr"] } +# cuda-python=">12.3" + + +[tool.poetry.group.dev.dependencies] + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/apps/whisper_fine_tuning/src/__init__.py b/apps/whisper_fine_tuning/src/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/whisper_fine_tuning/src/core/__init__.py b/apps/whisper_fine_tuning/src/core/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/whisper_fine_tuning/src/core/data_prep/README.md b/apps/whisper_fine_tuning/src/core/data_prep/README.md new file mode 100644 index 0000000..31ac02d --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/data_prep/README.md @@ -0,0 +1,218 @@ +# Create Data Feature + +This module provides data preparation functionality for Whisper fine-tuning, converting raw audio files and transcriptions into a format suitable for training, testing, and evaluation. + +## Overview + +The `data_prep` feature is designed to prepare audio datasets for Whisper model fine-tuning by: +- Processing audio files and their corresponding transcriptions +- Organizing data into training, testing, and evaluation sets +- Converting data into HuggingFace datasets format +- Handling audio resampling to 16kHz (Whisper's expected format) + +## Directory Structure + +The data preparation entry point remains `src/core/create_data/data_prep.py`. The raw speech corpora now live in `data/raw/audios/`, where each language pack contains the artifacts required by the data preparation script: + +``` +data/raw/audios// +├── audio_paths # File mapping audio IDs to file paths +├── text # File containing transcriptions +├── train_data/ # Training audio files (.opus format) +├── test_data/ # Testing audio files (.opus format) +└── evaluation_data/ # Evaluation audio files (.opus format) +``` + +Examples include `data/raw/audios/matis` and `data/raw/audios/mayoruna`. + +## File Formats + +### audio_paths +Maps audio IDs to their corresponding file paths within the selected language pack: +``` +audio1 data/raw/audios/matis/evaluation_data/audio1.opus +audio2 data/raw/audios/matis/evaluation_data/audio2.opus +audio6 data/raw/audios/matis/train_data/audio6.opus +... +``` + +### text +Contains transcriptions paired with audio IDs: +``` +audio1 min cartão bëdambo iquec +audio2 min cpf dada ua +audio6 ada min conta iste bune? +... +``` + +## Usage + +### Data Preparation Pipeline + +Run the data preparation pipeline from the project root to create domain-specific datasets. Point `--source_data_dir` to the language pack in `data/raw/audios` that you want to process. + +**Training Data:** +```bash +python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \ + --source_data_dir apps/whisper_fine_tuning/data/raw/audios/matis \ + --output_data_dir apps/whisper_fine_tuning/data/raw/samples/training \ + --domain train +``` + +**Testing Data:** +```bash +python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \ + --source_data_dir apps/whisper_fine_tuning/data/raw/audios/matis \ + --output_data_dir apps/whisper_fine_tuning/data/raw/samples/testing \ + --domain test +``` + +**Evaluation Data:** +```bash +python apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py \ + --source_data_dir apps/whisper_fine_tuning/data/raw/audios/matis \ + --output_data_dir apps/whisper_fine_tuning/data/raw/samples/evaluation \ + --domain evaluation +``` + + +### Integration with Training Pipeline + +After preparing your datasets, run the complete pipeline locally: + +```bash +python apps/whisper_fine_tuning/src/core/data_prep/main_silver_data_prep.py --train_datasets apps/whisper_fine_tuning/data/raw/samples/training --eval_datasets apps/whisper_fine_tuning/data/raw/samples/evaluation --test_datasets apps/whisper_fine_tuning/data/raw/samples/testing +``` + +This command will use the prepared datasets for the complete Whisper fine-tuning workflow. + +### Command Line Arguments + +- `--source_data_dir` (required): Path to the directory containing `audio_paths` and `text` files +- `--output_data_dir` (optional): Output directory path (default: "op_data_dir") +- `--domain` (optional): Specify which domain to process - choices: ["train", "test", "evaluation", "all"] (default: "all") + +## Data Processing Pipeline + +1. **File Validation**: Checks for existence of `audio_paths` and `text` files +2. **Data Loading**: Reads audio paths and transcriptions from input files +3. **Domain Filtering**: Optionally filters data by domain (train/test/evaluation) +4. **Data Matching**: Matches audio files with their transcriptions using audio IDs +5. **Dataset Creation**: Creates HuggingFace dataset with: + - Audio column: Audio files resampled to 16kHz + - Sentence column: Corresponding transcriptions +6. **Output**: Saves processed dataset to disk in HuggingFace format + +## Data Validation + +The script performs several validation steps: +- Ensures input files exist +- Validates audio_paths file format +- Matches audio IDs between `audio_paths` and `text` files +- Reports statistics on matched and skipped entries +- Provides sample output for verification + +## Output Format + +The processed dataset is saved as a HuggingFace Dataset with: +- **audio**: Audio arrays resampled to 16kHz sampling rate +- **sentence**: String transcriptions + +## Example Output + +When running the training data preparation: +```bash +$ python src/core/create_data/data_prep.py --source_data_dir data/raw/audios/matis --output_data_dir data/raw/training --domain train +``` + +Expected output: +``` +INFO:__main__:Total audio_paths lines: 57, total text lines: 57 +INFO:__main__:After domain filter 'train': audio entries = 49 +INFO:__main__:Matched transcript entries: 49; skipped (no audio): 0 +INFO:__main__:Data preparation done. Saved to data/raw/training +INFO:__main__:Sample data: +Dataset({ + features: ['audio', 'sentence'], + num_rows: 5 +}) +``` + +**Current Dataset Statistics:** +- **Training**: 49 audio files (audio1-audio30, audio32-audio55) +- **Testing**: 3 audio files (audio31, audio42, audio57) +- **Evaluation**: 5 audio files (audio1-audio5) +- **Total**: 57 audio files + +## Audio Format Support + +- Supports `.opus` audio files +- Automatically resamples audio to 16kHz for Whisper compatibility +- Preserves audio quality during processing + +## Error Handling + +The script handles common issues gracefully: +- Missing input files +- Malformed lines in `audio_paths` +- Unmatched audio IDs +- Empty datasets after filtering + +## Integration with Whisper Fine-tuning + +This prepared dataset integrates seamlessly with the Whisper fine-tuning pipeline: + +1. **Data Preparation**: Use the commands above to create domain-specific datasets +2. **Pipeline Integration**: The prepared datasets are automatically consumed by `deployment/job_data.py` +3. **Training Flow**: The datasets feed into the training configuration and model fine-tuning process + +### Typical Workflow: +```bash +# Step 1: Prepare training data +python src/core/create_data/data_prep.py \ + --source_data_dir data/raw/audios/matis \ + --output_data_dir data/raw/training \ + --domain train + +# Step 2: Prepare evaluation data +python src/core/create_data/data_prep.py \ + --source_data_dir data/raw/audios/matis \ + --output_data_dir data/raw/evaluation \ + --domain evaluation + +# Step 3: Prepare testing data +python src/core/create_data/data_prep.py \ + --source_data_dir data/raw/audios/matis \ + --output_data_dir data/raw/testing \ + --domain test + +# Step 4: Run the complete pipeline +python deployment/training/job_data.py --train_datasets data/raw/training --eval_datasets data/raw/evaluation --test_datasets data/raw/testing +``` + +## Sample Data + +The current dataset contains audio samples in what appears to be a indigenous or regional language, with transcriptions that may be used for: +- Speech recognition model training +- Language preservation efforts +- Multi-lingual ASR development + +## Requirements + +- Python 3.8+ +- HuggingFace `datasets` library +- Audio processing capabilities for `.opus` files + +## Troubleshooting + +**No matching audio+text pairs found:** +- Verify audio IDs in `text` file match those in `audio_paths` +- Check domain selection matches available data folders + +**Missing input files:** +- Ensure both `audio_paths` and `text` files exist in source directory +- Verify file permissions and accessibility + +**Audio loading issues:** +- Confirm audio files exist at specified paths +- Check audio file format compatibility \ No newline at end of file diff --git a/apps/whisper_fine_tuning/src/core/data_prep/load_data.py b/apps/whisper_fine_tuning/src/core/data_prep/load_data.py new file mode 100644 index 0000000..30f5b72 --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/data_prep/load_data.py @@ -0,0 +1,134 @@ +from dataclasses import dataclass +from typing import Any, Dict, List, Union + +import torch +from datasets import Audio, DatasetDict, concatenate_datasets, load_from_disk +from transformers.models.whisper.english_normalizer import BasicTextNormalizer + + +class DataPreparer: + """ + A class that encapsulates dataset loading, preparation, and filtering. + """ + + def __init__( + self, + args, + processor, + normalizer: BasicTextNormalizer, + do_lower_case: bool = False, + do_remove_punctuation: bool = False, + ): + self.args = args + self.processor = processor + self.normalizer = normalizer + self.do_lower_case = do_lower_case + self.do_remove_punctuation = do_remove_punctuation + self.max_label_length = 100 # will be set later from model config if necessary + self.min_input_length = 0.0 + self.max_input_length = 30.0 + + def set_max_label_length(self, max_length: int): + """Set maximum label length from model configuration.""" + self.max_label_length = max_length + + def load_custom_dataset(self, split: str) -> Any: + """Load and prepare a concatenated dataset from disk for a given split.""" + datasets = [] + if split == "train": + for dset in self.args.train_datasets: + datasets.append(load_from_disk(dset)) + elif split == "eval": + for dset in self.args.eval_datasets: + datasets.append(load_from_disk(dset)) + elif split == "test": + for dset in self.args.test_datasets: + datasets.append(load_from_disk(dset)) + else: + raise ValueError("Split must be either 'train' or 'eval'.") + ds = concatenate_datasets(datasets) + return ds.shuffle(seed=22) + + def prepare_dataset(self, batch: Dict) -> Dict: + """ + Process a single example: resample audio, extract features, normalize + transcription text, and encode the transcription. + """ + audio = batch["audio"] + # Extract log-Mel input features from audio array + batch["input_features"] = self.processor.feature_extractor( + audio["array"], sampling_rate=audio["sampling_rate"] + ).input_features[0] + batch["input_length"] = len(audio["array"]) / audio["sampling_rate"] + + transcription = batch["sentence"] + if self.do_lower_case: + transcription = transcription.lower() + if self.do_remove_punctuation: + transcription = self.normalizer(transcription).strip() + + batch["labels"] = self.processor.tokenizer(transcription).input_ids + return batch + + def is_in_length_range(self, length, labels): + return ( + self.min_input_length < length < self.max_input_length + and 0 < len(labels) < self.max_label_length + ) + + def prepare(self) -> DatasetDict: + """Load, cast, process and filter datasets.""" + dataset = DatasetDict() + dataset["train"] = self.load_custom_dataset("train") + dataset["eval"] = self.load_custom_dataset("eval") + dataset["test"] = self.load_custom_dataset("test") + + print("Dataset loaded so far:") + print(dataset) + + dataset = dataset.cast_column( + "audio", Audio(sampling_rate=self.args.sampling_rate) + ) + dataset = dataset.map(self.prepare_dataset, num_proc=self.args.num_proc) + dataset = dataset.filter( + self.is_in_length_range, + input_columns=["input_length", "labels"], + num_proc=self.args.num_proc, + ) + return dataset + + +@dataclass +class DataCollatorSpeechSeq2SeqWithPadding: + processor: Any + + def __call__( + self, features: List[Dict[str, Union[List[int], torch.Tensor]]] + ) -> Dict[str, torch.Tensor]: + # split inputs and labels since they have to be of different lengths and need different padding methods + # first treat the audio inputs by simply returning torch tensors + input_features = [ + {"input_features": feature["input_features"]} for feature in features + ] + batch = self.processor.feature_extractor.pad( + input_features, return_tensors="pt" + ) + + # get the tokenized label sequences + label_features = [{"input_ids": feature["labels"]} for feature in features] + # pad the labels to max length + labels_batch = self.processor.tokenizer.pad(label_features, return_tensors="pt") + + # replace padding with -100 to ignore loss correctly + labels = labels_batch["input_ids"].masked_fill( + labels_batch.attention_mask.ne(1), -100 + ) + + # if bos token is appended in previous tokenization step, + # cut bos token here as it's append later anyways + if (labels[:, 0] == self.processor.tokenizer.bos_token_id).all().cpu().item(): + labels = labels[:, 1:] + + batch["labels"] = labels + + return batch diff --git a/apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py b/apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py new file mode 100644 index 0000000..c4c758e --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/data_prep/main_data_prep.py @@ -0,0 +1,172 @@ +import argparse +import logging +from pathlib import Path + +from datasets import Audio, Dataset, Value + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def main(): + parser = argparse.ArgumentParser( + description="Preliminary data preparation script before Whisper Fine-tuning." + ) + parser.add_argument( + "--source_data_dir", + type=str, + required=True, + help="Path to the directory containing the audio_paths and text files.", + ) + parser.add_argument( + "--output_data_dir", + type=str, + required=False, + default="op_data_dir", + help="Output data directory path.", + ) + parser.add_argument( + "--domain", + type=str, + required=False, + default="all", + choices=["train", "test", "evaluation", "all"], + help="Specify which domain to process (train, test, evaluation, all). Default is all.", + ) + + args = parser.parse_args() + + src_dir = Path(args.source_data_dir).resolve() + + repo_root = None + for candidate in [src_dir] + list(src_dir.parents): + if (candidate / "pyproject.toml").exists() or (candidate / ".git").exists(): + repo_root = candidate + break + if repo_root is None: + repo_root = src_dir + + audio_paths_file = src_dir / "audio_paths" + text_file = src_dir / "text" + + if not audio_paths_file.exists() or not text_file.exists(): + logger.error( + "Missing input files: ensure 'audio_paths' and 'text' exist in %s", src_dir + ) + return + + with open(audio_paths_file, "r", encoding="utf-8") as scp_file: + scp_lines = [line.strip() for line in scp_file if line.strip()] + + with open(text_file, "r", encoding="utf-8") as txt_file: + txt_lines = [line.strip() for line in txt_file if line.strip()] + + logger.info( + "Total audio_paths lines: %d, total text lines: %d", + len(scp_lines), + len(txt_lines), + ) + + scp_entries = [] + for line in scp_lines: + tokens = line.split() + if len(tokens) < 2: + logger.warning("Skipping malformed audio_paths line: %s", line) + continue + audio_id = tokens[0] + path = tokens[1] + scp_entries.append((audio_id, path)) + + domain = args.domain.lower() + if domain != "all": + domain_folder = f"{domain}_data" + scp_entries = [(aid, p) for (aid, p) in scp_entries if domain_folder in p] + logger.info( + "After domain filter '%s': audio entries = %d", domain, len(scp_entries) + ) + if not scp_entries: + logger.error("No audio entries found for domain: %s", domain) + return + + scp_map = {} + for aid, path in scp_entries: + if aid not in scp_map: + scp_map[aid] = path + + raw_audio_paths = [] + sentences = [] + skipped_txt = 0 + for line in txt_lines: + tokens = line.split() + if not tokens: + continue + audio_id = tokens[0] + sentence = " ".join(tokens[1:]).strip() + if audio_id in scp_map: + raw_audio_paths.append(scp_map[audio_id]) + sentences.append(sentence) + else: + skipped_txt += 1 + + logger.info( + "Matched transcript entries: %d; skipped (no audio): %d", + len(sentences), + skipped_txt, + ) + + if not raw_audio_paths: + logger.error( + "No matching audio+text pairs found. Check that audio IDs in 'text' match those in 'audio_paths' and domain selection." + ) + return + + resolved_audio_paths = [] + for raw_path in raw_audio_paths: + candidates = [] + + candidate = Path(raw_path).expanduser() + candidates.append(candidate) + + if not candidate.is_absolute(): + candidates.append((src_dir / raw_path).expanduser()) + candidates.append((repo_root / raw_path).expanduser()) + + resolved = None + for cand in candidates: + cand_resolved = cand.resolve() + if cand_resolved.exists(): + resolved = cand_resolved + break + + if resolved is None: + logger.error("Could not resolve audio file: %s", raw_path) + return + + resolved_audio_paths.append(str(resolved)) + + audio_dataset = Dataset.from_dict( + { + "audio": resolved_audio_paths, + "audio_path": resolved_audio_paths, + "sentence": sentences, + } + ) + audio_dataset = audio_dataset.cast_column( + "audio", Audio(sampling_rate=16_000, decode=False) + ) + audio_dataset = audio_dataset.cast_column("audio_path", Value("string")) + audio_dataset = audio_dataset.cast_column("sentence", Value("string")) + audio_dataset.save_to_disk(args.output_data_dir) + logger.info("Data preparation done. Saved to %s", args.output_data_dir) + + sample = audio_dataset.select(range(min(5, len(audio_dataset)))) + logger.info("Sample data:\n%s", sample) + first_row = audio_dataset[0] + logger.info("First row data:\n%s", first_row) + logger.info("Printing all sentences in the dataset:") + for sentence in audio_dataset["sentence"]: + logger.info(sentence) + + +if __name__ == "__main__": + main() diff --git a/apps/whisper_fine_tuning/src/core/data_prep/main_silver_data_prep.py b/apps/whisper_fine_tuning/src/core/data_prep/main_silver_data_prep.py new file mode 100644 index 0000000..81fc822 --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/data_prep/main_silver_data_prep.py @@ -0,0 +1,168 @@ +import os +import sys + +sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..")) +import argparse +import logging + +import torch +from transformers import WhisperForConditionalGeneration, WhisperProcessor +from transformers.models.whisper.english_normalizer import BasicTextNormalizer + +# Fix the path to point to the repository root where 'src' directory is located +repo_root = os.path.join(os.path.dirname(__file__), "..", "..") +sys.path.insert(0, repo_root) + +from load_data import DataPreparer + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def main(): + parser = argparse.ArgumentParser( + description="Fine-tuning script for Whisper Models of various sizes." + ) + parser.add_argument( + "--model_name", + type=str, + default="openai/whisper-small", + help="Huggingface model name to fine-tune. Eg: openai/whisper-small", + ) + + parser.add_argument( + "--apply_lora", + type=bool, + default=True, + ) + + parser.add_argument( + "--language", + type=str, + default="", + help="Language the model is being adapted to in Camel case.", + ) + parser.add_argument( + "--sampling_rate", type=int, default=16000, help="Sampling rate of audios." + ) + parser.add_argument( + "--num_proc", + type=int, + default=2, + help="Number of parallel jobs to run. Helps parallelize the dataset prep stage.", + ) + parser.add_argument( + "--train_strategy", + type=str, + default="steps", + help="Training strategy. Choose between steps and epoch.", + ) + + parser.add_argument( + "--resume_from_ckpt", + type=str, + default=None, + help="Path to a trained checkpoint to resume training from.", + ) + parser.add_argument( + "--output_dir", + type=str, + default="output_model_dir", + help="Output directory for the checkpoints generated.", + ) + parser.add_argument( + "--train_datasets", + type=str, + nargs="+", + required=True, + help="List of datasets to be used for training.", + ) + parser.add_argument( + "--eval_datasets", + type=str, + nargs="+", + required=False, + help="List of datasets to be used for evaluation.", + ) + + parser.add_argument( + "--test_datasets", + type=str, + nargs="+", + required=False, + help="List of datasets to be used for testing.", + ) + args = parser.parse_args() + + if args.train_strategy not in ["steps", "epoch"]: + raise ValueError('The train strategy should be either "steps" or "epoch".') + + # Log arguments for transparency + logger.info("\n\n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n\n") + logger.info("ARGUMENTS OF INTEREST:") + logger.info(vars(args)) + logger.info("\n\n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n\n") + + gradient_checkpointing = True + freeze_feature_encoder = False + freeze_encoder = False + + do_lower_case = False + do_remove_punctuation = False + normalizer = BasicTextNormalizer() + + gpu_available = torch.cuda.is_available() + torch.cuda.device(0) + logger.info(f"CUDA Available: {gpu_available}") + if gpu_available: + logger.info(f"CUDA Version: {torch.version.cuda}") + logger.info(f"Number of CUDA Devices: {torch.cuda.device_count()}") + current_device = torch.cuda.current_device() + logger.info(f"Current CUDA Device: {current_device}") + logger.info(f"CUDA Device Name: {torch.cuda.get_device_name(current_device)}") + else: + logger.error("CUDA is not available. Please check your GPU configuration.") + + # Load models and processors. + processor = WhisperProcessor.from_pretrained(args.model_name, task="transcribe") + + logger.info("LOADING MODEL...") + model = WhisperForConditionalGeneration.from_pretrained(args.model_name) + + if model.config.decoder_start_token_id is None: + raise ValueError( + "Ensure that `config.decoder_start_token_id` is correctly defined" + ) + + if freeze_feature_encoder: + model.freeze_feature_encoder() + + if freeze_encoder: + model.freeze_encoder() + model.model.encoder.gradient_checkpointing = False + + if gradient_checkpointing: + model.config.use_cache = False + + model.config.forced_decoder_ids = None + model.config.suppress_tokens = [] + + # Initialize DataPreparer and set max label length from model + data_prep = DataPreparer( + args, processor, normalizer, do_lower_case, do_remove_punctuation + ) + data_prep.set_max_label_length(model.config.max_length) + + logger.info("DATASET PREPARATION IN PROGRESS...") + raw_dataset = data_prep.prepare() + + save_path = "apps/whisper_fine_tuning/data/silver/dataset" + raw_dataset.save_to_disk(save_path) + logger.info(f"Dataset saved locally at {save_path}.") + + logger.info("DATASET PREPARATION COMPLETED") + + +if __name__ == "__main__": + main() diff --git a/apps/whisper_fine_tuning/src/core/evaluation/evaluation_process.py b/apps/whisper_fine_tuning/src/core/evaluation/evaluation_process.py new file mode 100644 index 0000000..a13cee6 --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/evaluation/evaluation_process.py @@ -0,0 +1,250 @@ +import argparse +import logging +import os + +import evaluate +from datasets import Audio, load_from_disk +from tqdm import tqdm +from transformers import pipeline +from transformers.models.whisper.english_normalizer import BasicTextNormalizer + +logging.basicConfig(level=logging.INFO) + +wer_metric = evaluate.load("wer") +cer_metric = evaluate.load("cer") + + +def is_target_text_in_range(ref): + if ref.strip() == "ignore time segment in scoring": + return False + else: + return ref.strip() != "" + + +def get_text(sample): + if "text" in sample: + return sample["text"] + elif "sentence" in sample: + return sample["sentence"] + elif "normalized_text" in sample: + return sample["normalized_text"] + elif "transcript" in sample: + return sample["transcript"] + elif "transcription" in sample: + return sample["transcription"] + else: + raise ValueError( + "Expected transcript column of either 'text', 'sentence', 'normalized_text' or 'transcript'. Got sample of " + ".join{sample.keys()}. Ensure a text column name is present in the dataset." + ) + + +def get_text_column_names(column_names): + if "text" in column_names: + return "text" + elif "sentence" in column_names: + return "sentence" + elif "normalized_text" in column_names: + return "normalized_text" + elif "transcript" in column_names: + return "transcript" + elif "transcription" in column_names: + return "transcription" + + +whisper_norm = BasicTextNormalizer() + + +def normalise(batch): + batch["norm_text"] = whisper_norm(get_text(batch)) + return batch + + +def data(dataset): + for i, item in enumerate(dataset): + yield { + "array": item["audio"]["array"], + "sampling_rate": item["audio"]["sampling_rate"], + "reference": get_text(item), + "norm_reference": item["norm_text"], + } + + +def main(args): + if args.is_public_repo is False: + logging.info("Loading custom model from local checkpoint...") + + if not os.path.exists(args.ckpt_dir): + raise FileNotFoundError( + f"Checkpoint directory '{args.ckpt_dir}' does not exist." + ) + + else: + logging.info(f"Checkpoint directory '{args.ckpt_dir}' found.") + model_id = args.ckpt_dir + logging.info("Custom model and tokenizer loaded successfully.") + else: + logging.info("Loading HF model..") + model_id = args.hf_model + logging.info("Custom model and tokenizer loaded successfully.") + + whisper_asr = pipeline( + "automatic-speech-recognition", + model=model_id, + device=args.device, + generate_kwargs={ + "repetition_penalty": 1.2, + "no_repeat_ngram_size": 3, + "max_new_tokens": 128, + "do_sample": False, + }, + ) + + whisper_asr.model.config.forced_decoder_ids = ( + whisper_asr.tokenizer.get_decoder_prompt_ids( + language=args.language, task="transcribe" + ) + ) + + os.system(f"mkdir {args.output_dir}") + for dset in args.eval_datasets: + logging.info("Infering on the dataset: %s", dset) + dataset = load_from_disk(dset) + text_column_name = get_text_column_names(dataset.column_names) + dataset = dataset.cast_column("audio", Audio(sampling_rate=16000)) + dataset = dataset.map(normalise, num_proc=2) + dataset = dataset.filter( + is_target_text_in_range, input_columns=[text_column_name], num_proc=2 + ) + + # Log a sample from the dataset for inspection + sample_entry = dataset[0] + logging.info("Dataset sample:") + logging.info(sample_entry) + + predictions = [] + references = [] + norm_predictions = [] + norm_references = [] + + for out in tqdm( + whisper_asr(data(dataset), batch_size=args.batch_size), + desc="Decode Progress", + ): + predictions.append(out["text"]) + references.append(out["reference"][0]) + norm_predictions.append(whisper_norm(out["text"])) + norm_references.append(out["norm_reference"][0]) + + wer = wer_metric.compute(references=references, predictions=predictions) + wer = round(100 * wer, 2) + cer = cer_metric.compute(references=references, predictions=predictions) + cer = round(100 * cer, 2) + norm_wer = wer_metric.compute( + references=norm_references, predictions=norm_predictions + ) + norm_wer = round(100 * norm_wer, 2) + norm_cer = cer_metric.compute( + references=norm_references, predictions=norm_predictions + ) + norm_cer = round(100 * norm_cer, 2) + + logging.info("WER: %s", wer) + logging.info("CER: %s", cer) + logging.info("NORMALIZED WER: %s", norm_wer) + logging.info("NORMALIZED CER: %s", norm_cer) + + dset = dset.replace("/", "_") + op_file = args.output_dir + "/" + dset + if args.is_public_repo: + op_file = op_file + "_" + args.hf_model.replace("/", "_") + else: + op_file = op_file + "_" + args.ckpt_dir.split("/")[-1].replace("/", "_") + result_file = open(op_file, "w") + result_file.write("\nWER: " + str(wer) + "\n") + result_file.write("CER: " + str(cer) + "\n") + result_file.write("\nNORMALIZED WER: " + str(norm_wer) + "\n") + result_file.write("NORMALIZED CER: " + str(norm_cer) + "\n\n\n") + + for ref, hyp in zip(references, predictions): + result_file.write("REF: " + ref + "\n") + result_file.write("HYP: " + hyp + "\n") + result_file.write( + "------------------------------------------------------" + "\n" + ) + result_file.close() + + if args.is_public_repo is False: + os.system(f"rm -r {args.temp_ckpt_folder}") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + + parser.add_argument( + "--is_public_repo", + required=False, + default=True, + type=lambda x: (str(x).lower() == "true"), + help="If the model is available for download on huggingface.", + ) + parser.add_argument( + "--hf_model", + type=str, + required=False, + default="openai/whisper-tiny", + help="Huggingface model name. Example: openai/whisper-tiny", + ) + parser.add_argument( + "--ckpt_dir", + type=str, + required=False, + default=".", + help="Folder with the pytorch_model.bin file", + ) + parser.add_argument( + "--temp_ckpt_folder", + type=str, + required=False, + default="temp_dir", + help="Path to create a temporary folder containing the model and related files needed for inference", + ) + parser.add_argument( + "--language", + type=str, + required=False, + default="hi", + help="Two letter language code for the transcription language, e.g. use 'hi' for Hindi. This helps initialize the tokenizer.", + ) + parser.add_argument( + "--eval_datasets", + type=str, + nargs="+", + required=True, + default=[], + help="List of datasets to evaluate the model on.", + ) + parser.add_argument( + "--device", + type=int, + required=False, + default=0, + help="The device to run the pipeline on. -1 for CPU, 0 for the first GPU (default) and so on.", + ) + parser.add_argument( + "--batch_size", + type=int, + required=False, + default=16, + help="Number of samples to go through each streamed batch.", + ) + parser.add_argument( + "--output_dir", + type=str, + required=False, + default="predictions_dir", + help="Output directory for the predictions and hypotheses generated.", + ) + + args = parser.parse_args() + main(args) diff --git a/apps/whisper_fine_tuning/src/core/train/README.md b/apps/whisper_fine_tuning/src/core/train/README.md new file mode 100644 index 0000000..ffa6bbb --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/README.md @@ -0,0 +1,70 @@ +# Whisper Training Module + +This package contains the training entry points and supporting utilities for fine-tuning Whisper models after the audio corpora have been promoted to the "silver" stage. + +## Contents + +``` +core/train/ +├── README.md # This file +├── main_train.py # Primary CLI for LoRA-based Whisper fine-tuning +├── main_train_nemo.py # Alternative CLI for NeMo RNNT experiments +└── core/ # Training configs, helpers, and Trainer implementation +``` + +## Prerequisites +- Python 3.11+ +- Dataset prepared with `src/core/data_prep/main_silver_data_prep.py` and stored under `data/silver/dataset` +- GPU-enabled environment (CUDA required for full training loop) +- Dependencies installed via `poetry install` or `pip install -e .` +- Azure credentials configured if you plan to log to a remote MLflow tracking server + +## Quick Start + +1. Ensure the silver dataset exists: + ```bash + python src/core/data_prep/main_silver_data_prep.py \ + --train_datasets data/raw/training \ + --eval_datasets data/raw/evaluation \ + --test_datasets data/raw/testing + ``` +2. Launch training with the primary CLI: + ```bash + python apps/whisper_fine_tuning/src/core/train/main_train.py \ + --model_name openai/whisper-large-v2 \ + --dataset apps/whisper_fine_tuning/data/silver/dataset \ + --output_dir output_model_dir \ + --apply_lora True + ``` +3. Monitor MLflow for run metadata, metrics, and artifacts. + + +- All console and logging output will be saved as an MLflow artifact (`training_console.log`). + +## CLI Overview (`main_train.py`) +- `--model_name`: Hugging Face identifier for the base Whisper model. +- `--dataset`: Path to the on-disk Hugging Face dataset produced during data prep. +- `--language`: Friendly label used in the auto-generated MLflow experiment name. +- `--apply_lora`: Toggle LoRA adapters (defaults to `True`). +- `--train_strategy`: Accepts `steps` or `epoch`; controls scheduler setup. +- `--experiment_name`: Optional MLflow experiment override; otherwise auto-generated. +- Additional arguments mirror those in the existing training scripts (e.g., sampling rate, num_proc, output_dir). + +## Configuration Notes +- LoRA hyperparameters and trainer defaults live under `core/train/core/config.py`. +- Adjust training behaviors by modifying `ModelLoraConfig` or `TrainingArgsConfig`. +- Update `core/train/core/train.py` if you need custom callbacks, evaluation loops, or logging tweaks. + +## Logging and Artifacts +- Each run logs arguments and environment info via the Python logger. +- MLflow captures metrics, parameters, and checkpoints saved to `output_model_dir`. +- GPU diagnostics (device count, CUDA version) are emitted at startup to help verify hardware availability. + +## Troubleshooting +- **CUDA not available**: Confirm drivers and the correct device are visible (`nvidia-smi`). +- **Dataset schema issues**: Re-run the silver data prep CLI to ensure audio and transcripts align. +- **Import errors** from nested packages: The scripts programmatically extend `sys.path`; verify you execute them from the repository root. + +## Next Steps +- For Azure ML execution, wire `python deployment/training/job_train.py` into your job definition. +- Use `main_train_nemo.py` when experimenting with NeMo RNNT models or alternative architectures. diff --git a/apps/whisper_fine_tuning/src/core/train/conda.yaml b/apps/whisper_fine_tuning/src/core/train/conda.yaml new file mode 100644 index 0000000..812510a --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/conda.yaml @@ -0,0 +1,35 @@ +channels: +- conda-forge +dependencies: +- python=3.10.14 +- pip<=24.2 +- pip: + - torch==2.2.2 + - torchvision==0.17.2 + - transformers==4.44.0 + - mlflow==2.14.3 + - accelerate==0.33.0 + - bitsandbytes==0.43.3 + - cffi==1.17.0 + - dill==0.3.8 + - flash-attn==2.5.5 + - google-api-core==2.19.2 + - jaraco-context==5.3.0 + - jaraco-functools==4.0.1 + - jaraco-text==3.12.1 + - more-itertools==10.3.0 + - numpy==1.23.5 + - nvidia-ml-py==12.560.30 + - onnxruntime-training==1.18.0 + - onnxruntime==1.17.3 + - ordered-set==4.1.0 + - packaging==24.1 + - pandas==2.2.2 + - protobuf==3.20.3 + - pynvml==11.5.3 + - pyyaml==6.0.2 + - requests==2.32.3 + - scikit-learn==1.5.2 + - scipy==1.14.0 + - sentencepiece==0.1.99 +name: mlflow-env diff --git a/apps/whisper_fine_tuning/src/core/train/config.py b/apps/whisper_fine_tuning/src/core/train/config.py new file mode 100644 index 0000000..92e33b9 --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/config.py @@ -0,0 +1,153 @@ +from typing import Any, Dict + +import yaml +from pydantic import Field +from pydantic.dataclasses import dataclass + + +@dataclass +class RootConfig: + """Base class for managing configurations.""" + + @classmethod + def load_from_yaml(cls, filepath: str): + """Load configuration from a YAML file.""" + with open(filepath, "r") as yaml_file: + yaml_data = yaml.safe_load(yaml_file) + + return cls(**yaml_data) + + @classmethod + def to_dict(self) -> Dict[str, Any]: + """Convert the TrainingArgsConfig to a dictionary.""" + return { + field.name: getattr(self, field.name) + for field in self.__dataclass_fields__.values() + } + + +@dataclass +class ModelingConfig(RootConfig): + """Configuration for the Modeling Process.""" + + model_name: str = "" + evaluation_metric: str = "" + track_experiment: bool = False + experiment_name: str = "" + run_name: str = "" + task: str = "transcribe" + + +@dataclass +class DeploymentConfig(ModelingConfig): + metric_order: str = "" + mode: str = "last" + environment: str = "sandbox" + + +@dataclass +class DeepSpeedConfig(RootConfig): + fp16: Dict[str, Any] = Field( + default_factory=lambda: { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1, + } + ) + + optimizer: Dict[str, Any] = Field( + default_factory=lambda: { + "type": "AdamW", + "params": { + "lr": "auto", + "betas": "auto", + "eps": "auto", + "weight_decay": "auto", + }, + } + ) + + scheduler: Dict[str, Any] = Field( + default_factory=lambda: { + "type": "WarmupLR", + "params": { + "warmup_min_lr": "auto", + "warmup_max_lr": "auto", + "warmup_num_steps": "auto", + }, + } + ) + + zero_optimization: Dict[str, Any] = Field( + default_factory=lambda: { + "stage": 2, + "offload_optimizer": {"device": "cpu", "pin_memory": True}, + "allgather_partitions": True, + "allgather_bucket_size": 2e8, + "overlap_comm": True, + "reduce_scatter": True, + "reduce_bucket_size": 2e8, + "contiguous_gradients": True, + } + ) + + # gradient_accumulation_steps: str = "auto" + gradient_clipping: str = "auto" + steps_per_print: int = 1000 + train_batch_size: int = 1 + # train_micro_batch_size_per_gpu: str = "auto" + wall_clock_breakdown: bool = False + + +@dataclass +class TrainingArgsConfig(RootConfig): + per_device_train_batch_size: int = 2 + gradient_accumulation_steps: int = 8 + per_device_eval_batch_size: int = 4 + eval_accumulation_steps: int = -1 + gradient_checkpointing: bool = True + warmmup_ratio: float = 0.1 + optim: str = "adamw_bnb_8bit" + fp16: bool = True + learning_rate: float = 5e-6 + lr_scheduler_type: str = "linear" + # Remove max_steps so that the number of steps is calculated based on epochs and dataset length. + max_steps: int = -1 # Total training steps. Overrides epochs if positive. + logging_steps: int = 10 + warmup_steps: int = 50 + ddp_find_unused_parameters: bool = False + eval_strategy: str = "epoch" # Calculate metrics per epoch. + save_strategy: str = "epoch" + logging_strategy: str = "epoch" # Log training stats per steps. + load_best_model_at_end: bool = ( + True # Requires saving steps to be a round multiple of evaluation steps. + ) + num_train_epochs: int = 500 + predict_with_generate: bool = True + greater_is_better = False + + # deepspeed: DeepSpeedConfig = DeepSpeedConfig() + + +@dataclass +class ModelLoraConfig: + task_type: str = "CAUSAL_LM" + r: int = 64 + lora_alpha: int = 128 + lora_dropout: float = 0.05 + target_modules: list = Field( + default_factory=lambda: [ + "q_proj", + "k_proj", + "v_proj", + "o_proj", + "gate_proj", + "up_proj", + "down_proj", + "lm_head", + ] + ) + bias: str = "none" diff --git a/apps/whisper_fine_tuning/src/core/train/main_train.py b/apps/whisper_fine_tuning/src/core/train/main_train.py new file mode 100644 index 0000000..f5f0317 --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/main_train.py @@ -0,0 +1,207 @@ +import os +import sys + +sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..")) +import argparse +import logging +from datetime import datetime + +import mlflow +import torch +from datasets import load_from_disk +from transformers import ( + WhisperForConditionalGeneration, + WhisperProcessor, + WhisperTokenizer, +) + +# Fix the path to point to the repository root where 'src' directory is located +from pathlib import Path + +APP_ROOT = ( + Path(__file__).resolve().parents[3] +) # …/language-creation/apps/whisper_fine_tuning +if str(APP_ROOT) not in sys.path: + sys.path.insert(0, str(APP_ROOT)) +print(sys.path) + +from config import ModelLoraConfig, TrainingArgsConfig +from src.core.data_prep.load_data import DataCollatorSpeechSeq2SeqWithPadding +from train import Trainer + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def main(): + print("Starting main training script...") + parser = argparse.ArgumentParser( + description="fine-tuning script for whisper models of various sizes." + ) + parser.add_argument( + "--model_name", + type=str, + default="openai/whisper-large-v2", + help="huggingface model name to fine-tune. eg: openai/whisper-small", + ) + + parser.add_argument( + "--apply_lora", + type=bool, + default=True, + ) + + parser.add_argument( + "--language", + type=str, + default="", + help="language the model is being adapted to in camel case.", + ) + parser.add_argument( + "--sampling_rate", type=int, default=16000, help="sampling rate of audios." + ) + parser.add_argument( + "--num_proc", + type=int, + default=2, + help="number of parallel jobs to run. helps parallelize the dataset prep stage.", + ) + parser.add_argument( + "--train_strategy", + type=str, + default="steps", + help="training strategy. choose between steps and epoch.", + ) + + parser.add_argument( + "--resume_from_ckpt", + type=str, + default=None, + help="path to a trained checkpoint to resume training from.", + ) + parser.add_argument( + "--output_dir", + type=str, + default="output_model_dir", + help="output directory for the checkpoints generated.", + ) + parser.add_argument( + "--dataset", + type=str, + default="steps", + help="list of datasets to be used for training.", + ) + + # Add experiment name argument + parser.add_argument( + "--experiment_name", + type=str, + default=None, + help="MLflow experiment name for tracking runs. If not provided, will be auto-generated.", + ) + + args = parser.parse_args() + + if args.train_strategy not in ["steps", "epoch"]: + raise ValueError('the train strategy should be either "steps" or "epoch".') + + # Generate experiment name if not provided + if args.experiment_name is None: + model_short = args.model_name.split("/")[-1] # e.g., "whisper-large-v2" + language_short = args.language.lower() + lora_suffix = "-lora" if args.apply_lora else "" + timestamp = datetime.now().strftime("%Y%m%d") + args.experiment_name = ( + f"whisper-{language_short}-{model_short}{lora_suffix}-{timestamp}" + ) + + # Set MLflow experiment + mlflow.set_experiment(args.experiment_name) + logger.info(f"Using MLflow experiment: {args.experiment_name}") + + # Log arguments for transparency + logger.info("\n\n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n\n") + logger.info("arguments of interest:") + logger.info(vars(args)) + logger.info("\n\n+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n\n") + + gradient_checkpointing = True + freeze_feature_encoder = False + freeze_encoder = False + + gpu_available = torch.cuda.is_available() + torch.cuda.device(0) + logger.info(f"cuda available: {gpu_available}") + if gpu_available: + logger.info(f"cuda version: {torch.version.cuda}") + logger.info(f"number of cuda devices: {torch.cuda.device_count()}") + current_device = torch.cuda.current_device() + logger.info(f"current cuda device: {current_device}") + logger.info(f"cuda device name: {torch.cuda.get_device_name(current_device)}") + else: + logger.info("cuda is not available. please check your gpu configuration.") + + # Load models and processors. + tokenizer = WhisperTokenizer.from_pretrained(args.model_name, task="transcribe") + processor = WhisperProcessor.from_pretrained(args.model_name, task="transcribe") + + logger.info("loading model...") + model = WhisperForConditionalGeneration.from_pretrained( + args.model_name + ) # , load_in_8bit=True, device_map="auto") + + if model.config.decoder_start_token_id is None: + raise ValueError( + "ensure that `config.decoder_start_token_id` is correctly defined" + ) + + if freeze_feature_encoder: + model.freeze_feature_encoder() + + if freeze_encoder: + model.freeze_encoder() + model.model.encoder.gradient_checkpointing = False + + if gradient_checkpointing: + model.config.use_cache = False + + model.config.forced_decoder_ids = None + model.config.suppress_tokens = [] + + # Load again the dataset to ensure it's in the correct format + raw_dataset = load_from_disk(args.dataset) + data_collator = DataCollatorSpeechSeq2SeqWithPadding(processor=processor) + + # Debug: Log details of the first sample from the training set + sample = raw_dataset["train"][0] + logger.info("sample sentence: %s", sample["sentence"]) + + # After data_collator is created and dataset is prepared + training_args_config = TrainingArgsConfig() # or load from file/args + lora_config = ModelLoraConfig() # or load from file/args + + trainer = Trainer( + model_name=args.model_name, + model=model, + tokenizer=tokenizer, + processor=processor, + output_dir=args.output_dir, + prompt_template="", + apply_lora=args.apply_lora, + config=training_args_config, + lora_config=lora_config, + ) + + try: + trainer.train_model( + train_dataset=raw_dataset["train"], + eval_dataset=raw_dataset["eval"] if "eval" in raw_dataset else None, + data_collator=data_collator, + ) + except Exception as e: + logger.error(f"erro durante o treinamento: {e}", exc_info=True) + + +if __name__ == "__main__": + main() diff --git a/apps/whisper_fine_tuning/src/core/train/main_train_nemo.py b/apps/whisper_fine_tuning/src/core/train/main_train_nemo.py new file mode 100644 index 0000000..058376c --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/main_train_nemo.py @@ -0,0 +1,232 @@ +import os + +os.environ.setdefault("LIGHTNING_DISABLE_ADLFS_IMPORT", "1") +os.environ.setdefault("NUMBA_CUDA_ARCH_LIST", "70") # use "75" if you prefer +os.environ.setdefault("NUMBA_CUDA_USE_NVIDIA_BINDING", "1") + +import argparse +import logging + +import sys +from datetime import datetime +from pathlib import Path +from typing import Optional + +import mlflow +import pytorch_lightning as pl +import torch + +if torch.cuda.is_available(): + torch.set_float32_matmul_precision("high") + torch.backends.cuda.matmul.allow_tf32 = True +from datasets import load_from_disk +from huggingface_hub import hf_hub_download + +repo_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) +if repo_root not in sys.path: + sys.path.insert(0, repo_root) + +from apps.whisper_fine_tuning.src.core.train.core.train_nemo import ( + RNNTDataConfig, + RNNTLoraConfig, + RNNTOptimConfig, + RNNTTrainerConfig, + train_nemo_from_datasets, +) + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +import faulthandler + +faulthandler.enable() + + +def resolve_checkpoint_path( + checkpoint_path: Optional[str], + repo_id: str, + filename: str, + token: Optional[str], +) -> str: + if checkpoint_path: + path = Path(checkpoint_path).expanduser() + if not path.exists(): + raise FileNotFoundError(f"Checkpoint not found at {path}") + return str(path) + logger.info("Downloading %s (%s) from Hugging Face Hub...", repo_id, filename) + return hf_hub_download(repo_id=repo_id, filename=filename, token=token) + + +def main() -> None: + parser = argparse.ArgumentParser( + description="Fine-tune NVIDIA Parakeet RNNT with NeMo + LoRA." + ) + parser.add_argument("--dataset_path", type=str, default="data/silver/dataset") + parser.add_argument("--audio_column", type=str, default="audio") + parser.add_argument("--text_column", type=str, default="sentence") + parser.add_argument("--output_dir", type=str, default="output_model_dir/nemo_rnnt") + parser.add_argument("--manifest_dir", type=str, default=None) + parser.add_argument("--validation_split", type=float, default=0.02) + + parser.add_argument("--max_epochs", type=int, default=500) + parser.add_argument("--train_batch_size", type=int, default=4) + parser.add_argument("--eval_batch_size", type=int, default=4) + parser.add_argument("--grad_accumulation", type=int, default=4) + parser.add_argument("--gradient_clip_val", type=float, default=1.0) + parser.add_argument("--precision", type=str, default="16-mixed") + parser.add_argument("--accelerator", type=str, default=None) + parser.add_argument("--devices", type=int, default=None) + parser.add_argument("--strategy", type=str, default=None) + parser.add_argument("--limit_train_batches", type=float, default=None) + parser.add_argument("--limit_val_batches", type=float, default=None) + parser.add_argument("--log_every_n_steps", type=int, default=10) + parser.add_argument("--deterministic", action="store_true") + parser.add_argument("--disable_checkpointing", action="store_true") + + parser.add_argument("--learning_rate", type=float, default=3e-5) + parser.add_argument("--warmup_steps", type=int, default=50) + parser.add_argument("--weight_decay", type=float, default=0.0) + parser.add_argument("--num_workers", type=int, default=4) + parser.add_argument("--sample_rate", type=int, default=16000) + + parser.add_argument( + "--apply_lora", dest="apply_lora", action="store_true", default=True + ) + parser.add_argument("--no_lora", dest="apply_lora", action="store_false") + parser.add_argument("--lora_r", type=int, default=64) + parser.add_argument("--lora_alpha", type=int, default=128) + parser.add_argument("--lora_dropout", type=float, default=0.05) + parser.add_argument("--lora_target_modules", type=str, default=None) + parser.add_argument("--lora_adapter_name", type=str, default="rnnt_lora") + parser.add_argument("--use_dora", action="store_true") + + parser.add_argument("--checkpoint_path", type=str, default=None) + parser.add_argument( + "--checkpoint_repo", + type=str, + default="nvidia/parakeet-rnnt-110m-da-dk", + ) + parser.add_argument( + "--checkpoint_filename", + type=str, + default="parakeet-rnnt-110m-da-dk.nemo", + ) + parser.add_argument("--hf_token", type=str, default=None) + + parser.add_argument("--experiment_name", type=str, default=None) + parser.add_argument("--run_name", type=str, default=None) + parser.add_argument("--mlflow_tracking_uri", type=str, default=None) + parser.add_argument("--seed", type=int, default=42) + + args = parser.parse_args() + + if args.mlflow_tracking_uri: + mlflow.set_tracking_uri(args.mlflow_tracking_uri) + + if args.seed is not None: + pl.seed_everything(args.seed, workers=True) + + if args.experiment_name is None: + timestamp = datetime.utcnow().strftime("%Y%m%d-%H%M%S") + args.experiment_name = f"nemo-rnnt-{timestamp}" + mlflow.set_experiment(args.experiment_name) + logger.info("Using MLflow experiment: %s", args.experiment_name) + + logger.info("Arguments: %s", vars(args)) + + gpu_available = torch.cuda.is_available() + logger.info("CUDA available: %s", gpu_available) + if gpu_available: + logger.info("CUDA devices: %d", torch.cuda.device_count()) + logger.info( + "Current device: %s", + torch.cuda.get_device_name(torch.cuda.current_device()), + ) + else: + logger.warning("GPU not detected; training will fall back to CPU.") + + dataset = load_from_disk(args.dataset_path) + train_dataset = dataset["train"] + val_dataset = None + for split in ("eval", "validation", "dev", "test"): + if split in dataset: + val_dataset = dataset[split] + break + + checkpoint_path = resolve_checkpoint_path( + args.checkpoint_path, + repo_id=args.checkpoint_repo, + filename=args.checkpoint_filename, + token=args.hf_token, + ) + + trainer_config = RNNTTrainerConfig( + max_epochs=args.max_epochs, + accumulate_grad_batches=args.grad_accumulation, + gradient_clip_val=args.gradient_clip_val, + precision=args.precision, + accelerator=args.accelerator, + devices=args.devices, + strategy=args.strategy, + log_every_n_steps=args.log_every_n_steps, + enable_checkpointing=not args.disable_checkpointing, + deterministic=args.deterministic, + limit_train_batches=args.limit_train_batches, + limit_val_batches=args.limit_val_batches, + ) + + data_config = RNNTDataConfig( + train_batch_size=args.train_batch_size, + val_batch_size=args.eval_batch_size, + num_workers=args.num_workers, + sample_rate=args.sample_rate, + ) + + optim_config = RNNTOptimConfig( + learning_rate=args.learning_rate, + weight_decay=args.weight_decay or None, + warmup_steps=args.warmup_steps if args.warmup_steps > 0 else None, + ) + + target_modules = ( + [ + module.strip() + for module in args.lora_target_modules.split(",") + if module.strip() + ] + if args.lora_target_modules + else None + ) + lora_config = RNNTLoraConfig( + r=args.lora_r, + lora_alpha=args.lora_alpha, + lora_dropout=args.lora_dropout, + target_modules=target_modules, + use_dora=args.use_dora, + adapter_name=args.lora_adapter_name, + ) + + artifact_path = train_nemo_from_datasets( + train_dataset=train_dataset, + val_dataset=val_dataset, + base_checkpoint_path=checkpoint_path, + output_dir=args.output_dir, + audio_column=args.audio_column, + text_column=args.text_column, + trainer_config=trainer_config, + data_config=data_config, + optim_config=optim_config, + lora_config=lora_config, + apply_lora=args.apply_lora, + manifest_dir=args.manifest_dir, + validation_split=args.validation_split, + experiment_name=args.experiment_name, + run_name=args.run_name, + track_experiment=True, + ) + + logger.info("Fine-tuned model saved to %s", artifact_path) + + +if __name__ == "__main__": + main() diff --git a/apps/whisper_fine_tuning/src/core/train/train.py b/apps/whisper_fine_tuning/src/core/train/train.py new file mode 100644 index 0000000..2da3ad7 --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/train.py @@ -0,0 +1,282 @@ +import os +import sys + +sys.path.append(os.path.join(os.path.dirname(__file__), "..")) +import logging +from dataclasses import asdict +from datetime import datetime +from typing import Any, Callable, Dict, Optional + +import evaluate +import mlflow +import torch +import transformers +from datasets import Dataset +from peft import LoraConfig, PeftModel, get_peft_model, prepare_model_for_kbit_training +from transformers import ( + DataCollatorForSeq2Seq, + Seq2SeqTrainer, + Seq2SeqTrainingArguments, +) + +from config import ModelLoraConfig, TrainingArgsConfig + +log_file = "training_console.log" +# Redirect stdout and stderr +sys.stdout = open(log_file, "w") +sys.stderr = sys.stdout + +# Set up logging to file as well as console +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + handlers=[ + logging.FileHandler(log_file), + logging.StreamHandler(sys.__stdout__), # still print to console + ], +) + +logger = logging.getLogger(__name__) + + +class Trainer: + def __init__( + self, + model_name: str, + model: transformers.PreTrainedModel, + tokenizer: transformers.PreTrainedTokenizer, + processor, # external processor containing feature extraction logic + output_dir: str, + # signature: str, + prompt_template: str, + apply_lora: bool = True, + config: Optional[TrainingArgsConfig] = None, + lora_config: Optional[ModelLoraConfig] = None, + use_conda_yaml: bool = False, + ): + torch.cuda.empty_cache() + os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True" + + self._model_name = model_name + self.model_original = model + self.tokenizer = tokenizer + self.processor = processor + self.output_dir = output_dir + # self.signature = signature + self.prompt_template = prompt_template + self.apply_lora = apply_lora + self.config = config.__dict__ if config else {} + self.lora_config = lora_config.__dict__ if lora_config else {} + self._use_conda_yaml = use_conda_yaml + + def compute_metrics( + self, + pred, + do_normalize_eval: bool = False, + normalizer: Optional[Callable] = None, + ) -> Dict: + """Compute evaluation metrics (WER).""" + metric = evaluate.load("wer") + + pred_ids = pred.predictions + label_ids = pred.label_ids + + # Replace -100 with pad_token_id + label_ids[label_ids == -100] = self.tokenizer.pad_token_id + + pred_str = self.tokenizer.batch_decode(pred_ids, skip_special_tokens=True) + label_str = self.tokenizer.batch_decode(label_ids, skip_special_tokens=True) + + if do_normalize_eval and normalizer: + pred_str = [normalizer(s) for s in pred_str] + label_str = [normalizer(s) for s in label_str] + + wer = 100 * metric.compute(predictions=pred_str, references=label_str) + return {"wer": wer} + + def train_model( + self, + train_dataset: Dataset, + eval_dataset: Dataset, + data_collator: DataCollatorForSeq2Seq, + ) -> None: + """ + Train the model using the given train and eval datasets. + """ + + # Prepare model for training with PEFT + model = prepare_model_for_kbit_training(self.model_original) + + # Apply LoRA modifications if enabled + if self.apply_lora: + lora_cfg = LoraConfig( + r=self.lora_config.get("r", 64), + lora_alpha=self.lora_config.get("lora_alpha", 128), + target_modules=self.lora_config.get( + "target_modules", + ["q_proj", "k_proj", "v_proj", "out_proj", "fc1", "fc2"], + ), + lora_dropout=self.lora_config.get("lora_dropout", 0.05), + bias=self.lora_config.get("bias", "none"), + ) + model = get_peft_model(model, lora_cfg) + model.print_trainable_parameters() + + # Set up training arguments + training_args = Seq2SeqTrainingArguments( + output_dir=self.config.get("output_dir", self.output_dir), + per_device_train_batch_size=self.config.get( + "per_device_train_batch_size", 8 + ), + gradient_accumulation_steps=self.config.get( + "gradient_accumulation_steps", 1 + ), + learning_rate=self.config.get("learning_rate", 1.75e-5), + warmup_steps=self.config.get("warmup_steps", 50), + num_train_epochs=self.config.get("num_train_epochs", 3), + fp16=self.config.get("fp16", True), + per_device_eval_batch_size=self.config.get("per_device_eval_batch_size", 8), + generation_max_length=self.config.get("generation_max_length", 128), + logging_strategy="epoch", + logging_steps=self.config.get("logging_steps", 25), + remove_unused_columns=False, + label_names=["labels"], + report_to="none", + max_steps=self.config.get("max_steps", -1), + ) + + logger.info("training started") + + trainer = Seq2SeqTrainer( + args=training_args, + model=model, + train_dataset=train_dataset, + eval_dataset=eval_dataset, + data_collator=data_collator, + tokenizer=self.processor.feature_extractor, + compute_metrics=self.compute_metrics, + ) + + num_epochs = training_args.num_train_epochs + batch_size = training_args.per_device_train_batch_size + grad_accum = training_args.gradient_accumulation_steps + + steps_per_epoch = (len(train_dataset) + (batch_size * grad_accum) - 1) // ( + batch_size * grad_accum + ) + total_steps = num_epochs * steps_per_epoch + + logger.info( + f"training will run for {num_epochs} epochs and approximately {total_steps} total training steps (around {steps_per_epoch} steps per epoch)." + ) + + mlflow.start_run() + start_time = datetime.now() + logger.info(f"training started at {start_time}") + logger.info(f"run id: {mlflow.active_run().info.run_id}") + + trainer_stats = trainer.train() + + end_time = datetime.now() + logger.info(f"training finished at {end_time}") + logger.info(f"total training time: {end_time - start_time}") + + self.log_params_from_dict(self.config) + self.log_params_from_dict(asdict(lora_cfg)) + + metrics = trainer_stats.metrics + mlflow.log_metrics(metrics) + + logger.info("saving the fine-tuned model locally...") + model.save_pretrained(self.output_dir) + self.tokenizer.save_pretrained(self.output_dir) + self.processor.save_pretrained(self.output_dir) + logger.info( + f"model, tokenizer, and processor successfully saved to {self.output_dir}." + ) + + if self.apply_lora: + # Define the directory to save artifacts + adaptor_dir = "/tmp/model-output-peft" + os.makedirs(adaptor_dir, exist_ok=True) + + trainer.save_model(adaptor_dir) + + # Adaptor directory on your local filesystem + merged_model = PeftModel.from_pretrained(self.model_original, adaptor_dir) + merged_model = merged_model.merge_and_unload() + + logger.info(self.model_original) + logger.info(merged_model) + + if self._use_conda_yaml: + mlflow.transformers.log_model( + transformers_model={ + "model": merged_model, + "tokenizer": self.tokenizer, + "feature_extractor": self.processor.feature_extractor, + }, + # signature=self.signature, + artifact_path="model", + conda_env="conda.yaml", + ) + else: + mlflow.transformers.log_model( + transformers_model={ + "model": merged_model, + "tokenizer": self.tokenizer, + "feature_extractor": self.processor.feature_extractor, + }, + artifact_path="model", + ) + + # Saving the adapter + mlflow.transformers.log_model( + transformers_model={ + "model": trainer.model, + "tokenizer": self.tokenizer, + "feature_extractor": self.processor.feature_extractor, + }, + artifact_path="adapter_peft", + ) + + else: + mlflow.transformers.log_model( + transformers_model={ + "model": trainer.model, + "tokenizer": self.tokenizer, + }, + artifact_path="model", + ) + + mlflow.log_artifact(log_file) + + mlflow.end_run() + + def log_params_from_dict( + self, config: Dict[str, Any], parent_key: str = "" + ) -> None: + """ + Given a dictionary of parameters, logs non-dictionary values to MLflow. + Ignores nested dictionaries. + + Args: + config (Dict[str, any]): The dictionary of parameters to log. + parent_key (str): Used to prefix keys (for nested logging). + """ + max_length = 199 # max length of a parameter value to log + for key, value in config.items(): + if isinstance(value, dict): + continue + elif isinstance(value, list): + full_key = f"{parent_key}.{key}" if parent_key else key + value = ( + value if len(str(value)) < max_length else str(value)[:max_length] + ) + mlflow.log_param(full_key, ",".join(map(str, value))) + else: + full_key = f"{parent_key}.{key}" if parent_key else key + value = ( + value if len(str(value)) < max_length else str(value)[:max_length] + ) + mlflow.log_param(full_key, value) diff --git a/apps/whisper_fine_tuning/src/core/train/train_nemo.py b/apps/whisper_fine_tuning/src/core/train/train_nemo.py new file mode 100644 index 0000000..63a298d --- /dev/null +++ b/apps/whisper_fine_tuning/src/core/train/train_nemo.py @@ -0,0 +1,446 @@ +import json +import logging +from contextlib import nullcontext +from dataclasses import asdict, dataclass +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, Optional, Sequence + +import mlflow +import pytorch_lightning as pl +import torch +from datasets import Dataset +from nemo.collections.asr.models import EncDecRNNTBPEModel +from omegaconf import OmegaConf + +logger = logging.getLogger(__name__) + +try: + from nemo.collections.common.parts.mixins.adapter_mixins import ( + LoraConfig as NemoLoraConfig, + ) +except ImportError: + NemoLoraConfig = None + + +@dataclass +class RNNTTrainerConfig: + max_epochs: int = 3 + accumulate_grad_batches: int = 1 + gradient_clip_val: float = 1.0 + precision: str = "16-mixed" + accelerator: Optional[str] = None + devices: Optional[int] = None + strategy: Optional[str] = None + log_every_n_steps: int = 10 + enable_checkpointing: bool = True + deterministic: bool = False + limit_train_batches: Optional[float] = None + limit_val_batches: Optional[float] = None + + +@dataclass +class RNNTDataConfig: + train_batch_size: int = 8 + val_batch_size: int = 4 + num_workers: int = 4 + sample_rate: int = 16000 + max_duration: Optional[float] = None + min_duration: Optional[float] = None + pin_memory: bool = True + augmentor: Optional[Dict[str, Any]] = None + + +@dataclass +class RNNTOptimConfig: + learning_rate: float = 1e-4 + weight_decay: Optional[float] = None + warmup_steps: Optional[int] = None + + +@dataclass +class RNNTLoraConfig: + r: int = 8 + lora_alpha: int = 32 + lora_dropout: float = 0.1 + target_modules: Optional[Sequence[str]] = None + use_dora: bool = False + adapter_name: str = "rnnt_lora" + + +def create_manifest_from_dataset( + dataset: Dataset, + manifest_path: str, + audio_column: str, + text_column: str, + sample_rate: int, +) -> str: + """Write a NeMo-compatible JSONL manifest from a Hugging Face dataset.""" + manifest_file = Path(manifest_path) + manifest_file.parent.mkdir(parents=True, exist_ok=True) + + print("*********") + + with manifest_file.open("w", encoding="utf-8") as handle: + for row in dataset: + audio_path = row["audio_path"] + if not audio_path: + raise ValueError( + "Each row must include an audio path for NeMo manifests." + ) + + duration = None + # Prefer explicit columns produced during data prep + if "duration" in row and row["duration"] is not None: + duration = float(row["duration"]) + elif "input_length" in row and row["input_length"] is not None: + duration = float(row["input_length"]) + + # Fall back to metadata from decoded Audio features, if present + audio = row.get(audio_column) + if duration is None and isinstance(audio, dict): + meta = audio + if meta.get("duration"): + duration = float(meta["duration"]) + elif meta.get("array") is not None and meta.get("sampling_rate"): + duration = len(meta["array"]) / float(meta["sampling_rate"]) + + if duration is None: + raise ValueError( + f"Could not determine duration for {audio_path}. " + "Add a 'duration' or 'input_length' column when preparing the dataset." + ) + + entry = { + "audio_filepath": str(Path(audio_path).expanduser().resolve()), + "text": row[text_column], + "duration": duration, + } + handle.write(json.dumps(entry, ensure_ascii=False) + "\n") + + logger.info("Wrote %d rows to %s", len(dataset), manifest_file) + return str(manifest_file.resolve()) + + +class NemoRNNTTrainer: + """Fine-tune a NeMo RNNT model with optional LoRA and MLflow logging.""" + + def __init__( + self, + base_checkpoint_path: str, + output_dir: str, + trainer_config: RNNTTrainerConfig, + data_config: RNNTDataConfig, + optim_config: RNNTOptimConfig, + apply_lora: bool = True, + lora_config: Optional[RNNTLoraConfig] = None, + track_experiment: bool = True, + ) -> None: + self.base_checkpoint_path = base_checkpoint_path + self.output_dir = Path(output_dir) + self.output_dir.mkdir(parents=True, exist_ok=True) + + self.trainer_config = trainer_config + self.data_config = data_config + self.optim_config = optim_config + self.apply_lora = apply_lora + self.lora_config = lora_config or RNNTLoraConfig() + self.track_experiment = track_experiment + + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + self.model_name = Path(base_checkpoint_path).stem + self._adapter_name: Optional[str] = None + + def train( + self, + train_manifest: str, + val_manifest: str, + experiment_name: Optional[str] = None, + run_name: Optional[str] = None, + ) -> str: + if self.track_experiment and experiment_name: + mlflow.set_experiment(experiment_name) + + trainer = pl.Trainer(**self._build_trainer_kwargs()) + model = EncDecRNNTBPEModel.restore_from( + self.base_checkpoint_path, map_location=self.device + ) + model.to(self.device) + + self._configure_model(model, train_manifest, val_manifest) + self._maybe_enable_lora(model) + + run_ctx = ( + mlflow.start_run(run_name=run_name or self._default_run_name()) + if self.track_experiment + else nullcontext() + ) + + with run_ctx: + start = datetime.utcnow() + logger.info("Starting NeMo RNNT fine-tune at %s", start.isoformat()) + + if self.track_experiment: + self._log_params() + + trainer.fit(model) + + metrics = self._extract_metrics(trainer) + if self.track_experiment and metrics: + mlflow.log_metrics(metrics) + + artifact_path = self.output_dir / f"{self.model_name}-finetuned.nemo" + model.save_to(str(artifact_path)) + logger.info("Saved fine-tuned NeMo bundle to %s", artifact_path) + + if self.track_experiment: + mlflow.log_artifact(str(artifact_path), artifact_path="model") + + if ( + self.apply_lora + and self._adapter_name + and hasattr(model, "save_adapters") + ): + adapters_dir = self.output_dir / "adapters" + adapters_dir.mkdir(exist_ok=True) + adapter_path = adapters_dir / f"{self._adapter_name}.nemo" + try: + model.save_adapters(str(adapter_path), [self._adapter_name]) + except TypeError: + model.save_adapters(str(adapter_path)) + if self.track_experiment: + mlflow.log_artifact(str(adapter_path), artifact_path="adapters") + logger.info("Saved LoRA adapters to %s", adapter_path) + + end = datetime.utcnow() + logger.info( + "Finished fine-tune at %s (duration %s)", end.isoformat(), end - start + ) + + torch.cuda.empty_cache() + return str(artifact_path) + + def _log_params(self) -> None: + self.log_params_from_dict(asdict(self.trainer_config), parent_key="trainer") + self.log_params_from_dict(asdict(self.data_config), parent_key="data") + self.log_params_from_dict(asdict(self.optim_config), parent_key="optim") + if self.apply_lora: + self.log_params_from_dict(asdict(self.lora_config), parent_key="lora") + + def _configure_model( + self, + model: EncDecRNNTBPEModel, + train_manifest: str, + val_manifest: str, + ) -> None: + cfg = model.cfg + + train_cfg = cfg.train_ds + train_cfg.manifest_filepath = train_manifest + train_cfg.sample_rate = self.data_config.sample_rate + train_cfg.shuffle = True + train_cfg.is_tarred = False + train_cfg.tarred_audio_filepaths = None + train_cfg.use_lhotse = False + train_cfg.input_cfg = None + if hasattr(train_cfg, "dataloader_params"): + train_cfg.dataloader_params.batch_size = self.data_config.train_batch_size + train_cfg.dataloader_params.num_workers = self.data_config.num_workers + train_cfg.dataloader_params.pin_memory = self.data_config.pin_memory + else: + train_cfg.batch_size = self.data_config.train_batch_size + train_cfg.num_workers = self.data_config.num_workers + train_cfg.pin_memory = self.data_config.pin_memory + if self.data_config.max_duration is not None: + train_cfg.max_duration = self.data_config.max_duration + if self.data_config.min_duration is not None: + train_cfg.min_duration = self.data_config.min_duration + if self.data_config.augmentor is not None: + train_cfg.augmentor = OmegaConf.create(self.data_config.augmentor) + + model.setup_training_data(train_cfg) + + val_cfg = ( + cfg.validation_ds[0] + if isinstance(cfg.validation_ds, (list, tuple)) + else cfg.validation_ds + ) + val_cfg.manifest_filepath = val_manifest + val_cfg.sample_rate = self.data_config.sample_rate + val_cfg.shuffle = False + val_cfg.is_tarred = False + val_cfg.tarred_audio_filepaths = None + val_cfg.use_lhotse = False + val_cfg.input_cfg = None + if hasattr(val_cfg, "dataloader_params"): + val_cfg.dataloader_params.batch_size = self.data_config.val_batch_size + val_cfg.dataloader_params.num_workers = self.data_config.num_workers + val_cfg.dataloader_params.pin_memory = self.data_config.pin_memory + else: + val_cfg.batch_size = self.data_config.val_batch_size + val_cfg.num_workers = self.data_config.num_workers + val_cfg.pin_memory = self.data_config.pin_memory + + print("*****************") + + model.setup_validation_data(val_cfg) + + def _maybe_enable_lora(self, model: EncDecRNNTBPEModel) -> None: + if not self.apply_lora: + return + if NemoLoraConfig is None or not hasattr(model, "enable_lora"): + logger.warning( + "LoRA support is unavailable in this NeMo build; continuing without adapters." + ) + self.apply_lora = False + return + + lora_kwargs = dict( + r=self.lora_config.r, + lora_alpha=self.lora_config.lora_alpha, + lora_dropout=self.lora_config.lora_dropout, + ) + if self.lora_config.target_modules: + lora_kwargs["target_modules"] = list(self.lora_config.target_modules) + if self.lora_config.use_dora: + lora_kwargs["use_dora"] = True + + nemo_lora_cfg = NemoLoraConfig(**lora_kwargs) + try: + model.enable_lora( + config=nemo_lora_cfg, adapter_name=self.lora_config.adapter_name + ) + except TypeError: + model.enable_lora(nemo_lora_cfg) + self._adapter_name = self.lora_config.adapter_name + if hasattr(model, "set_enabled_adapters"): + model.set_enabled_adapters([self._adapter_name]) + logger.info("Enabled LoRA adapters: %s", lora_kwargs) + + def _build_trainer_kwargs(self) -> Dict[str, Any]: + accelerator = self.trainer_config.accelerator or ( + "gpu" if torch.cuda.is_available() else "cpu" + ) + devices = self.trainer_config.devices or ( + torch.cuda.device_count() if accelerator == "gpu" else 1 + ) + kwargs: Dict[str, Any] = { + "accelerator": accelerator, + "devices": devices, + "max_epochs": self.trainer_config.max_epochs, + "accumulate_grad_batches": self.trainer_config.accumulate_grad_batches, + "gradient_clip_val": self.trainer_config.gradient_clip_val, + "precision": self.trainer_config.precision, + "log_every_n_steps": self.trainer_config.log_every_n_steps, + "enable_checkpointing": self.trainer_config.enable_checkpointing, + "deterministic": self.trainer_config.deterministic, + "default_root_dir": str(self.output_dir), + } + if self.trainer_config.strategy: + kwargs["strategy"] = self.trainer_config.strategy + if self.trainer_config.limit_train_batches is not None: + kwargs["limit_train_batches"] = self.trainer_config.limit_train_batches + if self.trainer_config.limit_val_batches is not None: + kwargs["limit_val_batches"] = self.trainer_config.limit_val_batches + return kwargs + + @staticmethod + def _extract_metrics(trainer: pl.Trainer) -> Dict[str, float]: + metrics: Dict[str, float] = {} + for key, value in trainer.callback_metrics.items(): + if value is None: + continue + if isinstance(value, (int, float)): + metrics[key] = float(value) + elif hasattr(value, "item"): + try: + metrics[key] = float(value.item()) + except (TypeError, ValueError): + continue + return metrics + + @staticmethod + def log_params_from_dict(config: Dict[str, Any], parent_key: str = "") -> None: + if not mlflow.active_run(): + return + max_length = 199 + for key, value in config.items(): + if isinstance(value, dict): + continue + full_key = f"{parent_key}.{key}" if parent_key else key + if isinstance(value, list): + mlflow.log_param(full_key, ",".join(map(str, value))[:max_length]) + else: + mlflow.log_param(full_key, str(value)[:max_length]) + + def _default_run_name(self) -> str: + return ( + f"{self.model_name}-finetune-{datetime.utcnow().strftime('%Y%m%d-%H%M%S')}" + ) + + +def train_nemo_from_datasets( + train_dataset: Dataset, + val_dataset: Optional[Dataset], + base_checkpoint_path: str, + output_dir: str, + audio_column: str, + text_column: str, + trainer_config: RNNTTrainerConfig, + data_config: RNNTDataConfig, + optim_config: RNNTOptimConfig, + lora_config: Optional[RNNTLoraConfig] = None, + apply_lora: bool = True, + manifest_dir: Optional[str] = None, + validation_split: float = 0.02, + experiment_name: Optional[str] = None, + run_name: Optional[str] = None, + track_experiment: bool = True, +) -> str: + """Convenience wrapper to fine-tune NeMo RNNT models from Hugging Face datasets.""" + if val_dataset is None: + if not 0 < validation_split < 1: + raise ValueError( + "validation_split must be between 0 and 1 when no validation dataset is provided." + ) + split = train_dataset.train_test_split(test_size=validation_split, seed=42) + train_dataset, val_dataset = split["train"], split["test"] + + manifest_root = Path(manifest_dir or Path(output_dir) / "manifests") + manifest_root.mkdir(parents=True, exist_ok=True) + + train_manifest = manifest_root / "train_manifest.json" + val_manifest = manifest_root / "val_manifest.json" + + train_manifest = create_manifest_from_dataset( + train_dataset, + str(train_manifest), + audio_column, + text_column, + data_config.sample_rate, + ) + val_manifest = create_manifest_from_dataset( + val_dataset, + str(val_manifest), + audio_column, + text_column, + data_config.sample_rate, + ) + + trainer = NemoRNNTTrainer( + base_checkpoint_path=base_checkpoint_path, + output_dir=output_dir, + trainer_config=trainer_config, + data_config=data_config, + optim_config=optim_config, + apply_lora=apply_lora, + lora_config=lora_config, + track_experiment=track_experiment, + ) + + return trainer.train( + train_manifest=str(train_manifest), + val_manifest=str(val_manifest), + experiment_name=experiment_name, + run_name=run_name, + ) diff --git a/apps/whisper_fine_tuning/src/utils/__init__.py b/apps/whisper_fine_tuning/src/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/whisper_fine_tuning/src/utils/utils.py b/apps/whisper_fine_tuning/src/utils/utils.py new file mode 100644 index 0000000..7f49880 --- /dev/null +++ b/apps/whisper_fine_tuning/src/utils/utils.py @@ -0,0 +1,18 @@ +import pandas as pd +from IPython.display import HTML, display + + +def display_table(dataset_or_sample): + # A helper fuction to display a Transformer dataset or single sample contains multi-line string nicely + pd.set_option("display.max_colwidth", None) + pd.set_option("display.width", None) + pd.set_option("display.max_rows", None) + + if isinstance(dataset_or_sample, dict): + df = pd.DataFrame(dataset_or_sample, index=[0]) + else: + df = pd.DataFrame(dataset_or_sample) + + html = df.to_html().replace("\\n", "
") + styled_html = f""" {html}""" + display(HTML(styled_html))