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chore: remove duplicate src/llm/router.py to avoid mypy duplicate-module
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.env

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# Example .env file for SDLC_core
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# Set the LLM provider (default: gemini). Options: gemini, openai, ollama
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LLM_PROVIDER=gemini
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# For Gemini (Google)
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# DO NOT store real API keys in the repository.
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# Provide your Gemini API key via GitHub Actions secrets (recommended for CI) or configure
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# it locally in your shell environment when developing.
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# Example (local):
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# export GOOGLE_GEMINI_API_KEY="your-key-here"
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# If you prefer dotenv for local development, create a local, untracked file (for example
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# `.env.local`) and load it; do NOT commit it.
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# GOOGLE_GEMINI_API_KEY=
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# For OpenAI
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# Provide your OpenAI API key via GitHub Actions secrets or set it locally:
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# export OPENAI_API_KEY="sk-..."
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# OPENAI_API_KEY=
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# For Ollama (local, may not require API key)
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# LLM_MODEL=llama2

.github/PROVIDER_SETUP.md

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# GitHub CI: Provider secrets & manual provider matrix
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This file documents the repository secrets and quick steps to run provider-specific CI jobs manually.
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- Add `GOOGLE_GEMINI_API_KEY` to your environment before running provider jobs.
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- GitHub Actions / Secrets
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To store provider keys for CI, add them as repository secrets. Example using the GitHub CLI:
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```bash
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# store a Gemini key
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gh secret set GOOGLE_GEMINI_API_KEY --body "<your-gemini-key>"
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# store an OpenAI key
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gh secret set OPENAI_API_KEY --body "<your-openai-key>"
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# optionally, store Codecov token
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gh secret set CODECOV_TOKEN --body "<your-codecov-token>"
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```
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- Local dev note: Do not commit API keys into the repository. The project `.env` file has been sanitized and no longer contains live API keys. For local development, either export the variables in your shell or create a `.env.local` file which is gitignored.
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- `OPENAI_API_KEY` — API key for OpenAI (if you run OpenAI provider jobs).
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- `CODECOV_TOKEN` — (optional) Codecov token for private repos if you want coverage uploaded. Public repos usually don't need this.
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Notes about Ollama:
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- Ollama is a local inference server. The CI provider matrix includes `ollama` as an option but most CI runs should use `gemini` or `openai` unless you have an Ollama server available in your runner.
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- If you want to run Ollama in CI, you must either run a self-hosted runner that has Ollama installed and running, or start an Ollama container as part of the job before running tests.
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Or set them manually in the GitHub UI:
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- Repo → Settings → Secrets and variables → Actions → New repository secret
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How to run the provider matrix manually
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1. Open the repository on GitHub and go to Actions → `Python Tests (consolidated)`.
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2. Click "Run workflow" and set `run_providers` to `true` then dispatch.
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Or use the `gh` CLI to dispatch the workflow (example):
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```bash
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# Replace 'python-test.yml' with the workflow file name if different
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gh workflow run python-test.yml -f run_providers=true
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```
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If you prefer to run a single provider smoke job manually (quick check) use the provider-smoke job in the workflow (via the Actions UI) or run a small script locally that constructs the agent with `dry_run=True`:
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```bash
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# Dry-run locally (no network calls) — uses gemini by default in examples
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DRY_RUN=true LLM_PROVIDER=gemini python -c "from src.agents import deepagent; a=deepagent.SDLCFlexibleAgent(provider='gemini', dry_run=True); print('dry run ok', a.agent.run('hello'))"
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```
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Security
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- Never commit secrets to the repository.
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- Use least-privilege credentials for CI runs when possible.
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Troubleshooting
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- If the `providers` matrix job fails for `ollama`, check that the runner has network access to your Ollama server or that a local Ollama container was started prior to running tests.
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- For Codecov failures, ensure `CODECOV_TOKEN` is set if the repo is private.
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Running Ollama in CI (example)
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If you want to spin up an Ollama container in a job before running tests, you can add a step like this (example using Docker):
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```yaml
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- name: Start Ollama container
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run: |
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docker run -d --name ollama -p 11434:11434 ollama/ollama:latest
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# optionally wait for health endpoint
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until curl -sSf http://localhost:11434/health; do sleep 1; done
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```
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Note: replace `ollama/ollama:latest` with the image/tag you prefer. For GitHub-hosted runners, ensure Docker is available or use a self-hosted runner with Ollama installed.

.github/PR_COMMENT_deepagent.txt

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CI and testability improvements for DeepAgent (dry-run, tests, CI)
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- Added dry-run / MockAgent and an EchoTool to make DeepAgent importable and testable without provider APIs.
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- Added offline unit tests for DeepAgent and provider selection. Local run: 5 tests passed.
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- Added reproducible test runner (`scripts/run-tests.sh`), `Makefile` targets, and updated README with instructions.
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- Adjusted `requirements.txt` to remove unavailable pins and pin validated provider adapters.
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- Consolidated CI workflow `.github/workflows/python-test.yml` (ruff + mypy + pytest + codecov). Provider matrix is manual and must be dispatched by a user with repo:actions permissions.
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Static checks: `src/agents/deepagent.py` passes ruff; repo-wide ruff still reports ~115 items (plan to fix in small batches).
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Notes:
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- mypy reports a duplicate-module issue for router modules; CI excludes `src/llm/router.py` until a refactor is done.
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- Provider matrix run needs a manual dispatch in Actions (set run_providers=true) or a user with proper `gh` permissions.
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# Python Unit Tests & Static Analysis
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# This workflow runs unit tests and static code analysis
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name: Python Tests and Static Analysis
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name: Python Tests and Static Analysis (legacy)
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on:
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push:
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paths:
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- '**.py'
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pull_request:
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paths:
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- '**.py'
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jobs:
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test-and-analyze:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install pytest pytest-cov mypy
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- name: Run unit tests
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run: pytest --cov=src/ --cov-report=xml
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- name: Run mypy static analysis
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run: mypy src/
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# This workflow has been consolidated into .github/workflows/python-test.yml.
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# Left here for documentation/history. The consolidated workflow runs static analysis
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# and a test matrix plus a focused deepagent test stage.

.github/workflows/python-tests.yml

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name: Python Tests
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on:
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push:
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branches: [ main ]
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pull_request:
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branches: [ main ]
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jobs:
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tests:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.12]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Run tests
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env:
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PYTHONPATH: .
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run: |
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python -m pytest -q

.venv/lib64

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lib

.venv/pyvenv.cfg

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home = /bin
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include-system-site-packages = false
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version = 3.12.3
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executable = /usr/bin/python3.12
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command = /bin/python3 -m venv /workspaces/SDLC_core/.venv
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/* -*- indent-tabs-mode: nil; tab-width: 4; -*- */
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/* Greenlet object interface */
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#ifndef Py_GREENLETOBJECT_H
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#define Py_GREENLETOBJECT_H
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#include <Python.h>
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#ifdef __cplusplus
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extern "C" {
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#endif
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/* This is deprecated and undocumented. It does not change. */
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#define GREENLET_VERSION "1.0.0"
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#ifndef GREENLET_MODULE
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#define implementation_ptr_t void*
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#endif
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typedef struct _greenlet {
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PyObject_HEAD
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PyObject* weakreflist;
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PyObject* dict;
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implementation_ptr_t pimpl;
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} PyGreenlet;
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#define PyGreenlet_Check(op) (op && PyObject_TypeCheck(op, &PyGreenlet_Type))
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/* C API functions */
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/* Total number of symbols that are exported */
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#define PyGreenlet_API_pointers 12
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#define PyGreenlet_Type_NUM 0
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#define PyExc_GreenletError_NUM 1
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#define PyExc_GreenletExit_NUM 2
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#define PyGreenlet_New_NUM 3
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#define PyGreenlet_GetCurrent_NUM 4
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#define PyGreenlet_Throw_NUM 5
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#define PyGreenlet_Switch_NUM 6
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#define PyGreenlet_SetParent_NUM 7
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#define PyGreenlet_MAIN_NUM 8
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#define PyGreenlet_STARTED_NUM 9
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#define PyGreenlet_ACTIVE_NUM 10
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#define PyGreenlet_GET_PARENT_NUM 11
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#ifndef GREENLET_MODULE
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/* This section is used by modules that uses the greenlet C API */
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static void** _PyGreenlet_API = NULL;
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# define PyGreenlet_Type \
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(*(PyTypeObject*)_PyGreenlet_API[PyGreenlet_Type_NUM])
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# define PyExc_GreenletError \
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((PyObject*)_PyGreenlet_API[PyExc_GreenletError_NUM])
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# define PyExc_GreenletExit \
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((PyObject*)_PyGreenlet_API[PyExc_GreenletExit_NUM])
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/*
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* PyGreenlet_New(PyObject *args)
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*
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* greenlet.greenlet(run, parent=None)
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*/
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# define PyGreenlet_New \
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(*(PyGreenlet * (*)(PyObject * run, PyGreenlet * parent)) \
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_PyGreenlet_API[PyGreenlet_New_NUM])
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/*
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* PyGreenlet_GetCurrent(void)
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*
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* greenlet.getcurrent()
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*/
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# define PyGreenlet_GetCurrent \
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(*(PyGreenlet * (*)(void)) _PyGreenlet_API[PyGreenlet_GetCurrent_NUM])
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/*
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* PyGreenlet_Throw(
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* PyGreenlet *greenlet,
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* PyObject *typ,
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* PyObject *val,
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* PyObject *tb)
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*
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* g.throw(...)
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*/
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# define PyGreenlet_Throw \
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(*(PyObject * (*)(PyGreenlet * self, \
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PyObject * typ, \
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PyObject * val, \
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PyObject * tb)) \
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_PyGreenlet_API[PyGreenlet_Throw_NUM])
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/*
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* PyGreenlet_Switch(PyGreenlet *greenlet, PyObject *args)
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*
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* g.switch(*args, **kwargs)
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*/
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# define PyGreenlet_Switch \
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(*(PyObject * \
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(*)(PyGreenlet * greenlet, PyObject * args, PyObject * kwargs)) \
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_PyGreenlet_API[PyGreenlet_Switch_NUM])
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/*
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* PyGreenlet_SetParent(PyObject *greenlet, PyObject *new_parent)
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*
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* g.parent = new_parent
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*/
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# define PyGreenlet_SetParent \
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(*(int (*)(PyGreenlet * greenlet, PyGreenlet * nparent)) \
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_PyGreenlet_API[PyGreenlet_SetParent_NUM])
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/*
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* PyGreenlet_GetParent(PyObject* greenlet)
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*
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* return greenlet.parent;
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*
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* This could return NULL even if there is no exception active.
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* If it does not return NULL, you are responsible for decrementing the
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* reference count.
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*/
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# define PyGreenlet_GetParent \
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(*(PyGreenlet* (*)(PyGreenlet*)) \
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_PyGreenlet_API[PyGreenlet_GET_PARENT_NUM])
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/*
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* deprecated, undocumented alias.
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*/
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# define PyGreenlet_GET_PARENT PyGreenlet_GetParent
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# define PyGreenlet_MAIN \
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(*(int (*)(PyGreenlet*)) \
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_PyGreenlet_API[PyGreenlet_MAIN_NUM])
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# define PyGreenlet_STARTED \
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(*(int (*)(PyGreenlet*)) \
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_PyGreenlet_API[PyGreenlet_STARTED_NUM])
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# define PyGreenlet_ACTIVE \
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(*(int (*)(PyGreenlet*)) \
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_PyGreenlet_API[PyGreenlet_ACTIVE_NUM])
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/* Macro that imports greenlet and initializes C API */
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/* NOTE: This has actually moved to ``greenlet._greenlet._C_API``, but we
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keep the older definition to be sure older code that might have a copy of
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the header still works. */
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# define PyGreenlet_Import() \
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{ \
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_PyGreenlet_API = (void**)PyCapsule_Import("greenlet._C_API", 0); \
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}
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#endif /* GREENLET_MODULE */
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#ifdef __cplusplus
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}
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#endif
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#endif /* !Py_GREENLETOBJECT_H */
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pip
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Copyright (c) 2017-2021 Ingy döt Net
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Copyright (c) 2006-2016 Kirill Simonov
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Permission is hereby granted, free of charge, to any person obtaining a copy of
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this software and associated documentation files (the "Software"), to deal in
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the Software without restriction, including without limitation the rights to
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use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
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of the Software, and to permit persons to whom the Software is furnished to do
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so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

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