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sokoleggsokolegg
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initial jupyter example
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‎.gitignore‎

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usecases/piper/
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applications/
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# Byte-compiled / optimized / DLL files
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__pycache__/

‎Makefile‎

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jupyter:
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docker run -it --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work jupyter/datascience-notebook:b418b67c225b

‎usecases/OCR.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "f2ba6da6",
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"metadata": {},
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"outputs": [],
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"source": [
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"# TODO: install from pypi or nexus\n",
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"!cp -R ../piper/ ./piper/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "afd5d0d6",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting docker\n",
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" Downloading docker-5.0.3-py2.py3-none-any.whl (146 kB)\n",
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" |████████████████████████████████| 146 kB 171 kB/s \n",
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"\u001b[?25hCollecting aiohttp\n",
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" Downloading aiohttp-3.8.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.2 MB)\n",
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" |████████████████████████████████| 1.2 MB 399 kB/s \n",
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"\u001b[?25hRequirement already satisfied: Jinja2 in /opt/conda/lib/python3.9/site-packages (from -r ../requirements.txt (line 3)) (3.0.3)\n",
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"Collecting pydantic\n",
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" Downloading pydantic-1.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)\n",
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" |████████████████████████████████| 12.2 MB 1.7 MB/s \n",
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"\u001b[?25hCollecting loguru\n",
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" Downloading loguru-0.6.0-py3-none-any.whl (58 kB)\n",
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" |████████████████████████████████| 58 kB 2.5 MB/s \n",
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"\u001b[?25hRequirement already satisfied: websocket-client>=0.32.0 in /opt/conda/lib/python3.9/site-packages (from docker->-r ../requirements.txt (line 1)) (1.2.3)\n",
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"Requirement already satisfied: requests!=2.18.0,>=2.14.2 in /opt/conda/lib/python3.9/site-packages (from docker->-r ../requirements.txt (line 1)) (2.27.1)\n",
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"Collecting aiosignal>=1.1.2\n",
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" Downloading aiosignal-1.2.0-py3-none-any.whl (8.2 kB)\n",
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"Collecting yarl<2.0,>=1.0\n",
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" Downloading yarl-1.7.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (304 kB)\n",
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" |████████████████████████████████| 304 kB 2.8 MB/s \n",
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"\u001b[?25hRequirement already satisfied: charset-normalizer<3.0,>=2.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp->-r ../requirements.txt (line 2)) (2.0.10)\n",
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"Collecting multidict<7.0,>=4.5\n",
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" Downloading multidict-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (114 kB)\n",
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" |████████████████████████████████| 114 kB 3.3 MB/s \n",
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"\u001b[?25hRequirement already satisfied: attrs>=17.3.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp->-r ../requirements.txt (line 2)) (21.4.0)\n",
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"Collecting frozenlist>=1.1.1\n",
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" Downloading frozenlist-1.3.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (156 kB)\n",
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" |████████████████████████████████| 156 kB 2.4 MB/s \n",
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"\u001b[?25hCollecting async-timeout<5.0,>=4.0.0a3\n",
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" Downloading async_timeout-4.0.2-py3-none-any.whl (5.8 kB)\n",
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"Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.9/site-packages (from Jinja2->-r ../requirements.txt (line 3)) (2.0.1)\n",
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"Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.9/site-packages (from pydantic->-r ../requirements.txt (line 4)) (4.0.1)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.9/site-packages (from requests!=2.18.0,>=2.14.2->docker->-r ../requirements.txt (line 1)) (2021.10.8)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.9/site-packages (from requests!=2.18.0,>=2.14.2->docker->-r ../requirements.txt (line 1)) (3.3)\n",
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"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.9/site-packages (from requests!=2.18.0,>=2.14.2->docker->-r ../requirements.txt (line 1)) (1.26.8)\n",
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"Installing collected packages: multidict, frozenlist, yarl, async-timeout, aiosignal, pydantic, loguru, docker, aiohttp\n",
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"Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 docker-5.0.3 frozenlist-1.3.0 loguru-0.6.0 multidict-6.0.2 pydantic-1.9.0 yarl-1.7.2\n"
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]
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}
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],
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"source": [
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"!pip install -r ../requirements.txt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "223467c6",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting fastapi\n",
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" Downloading fastapi-0.74.1-py3-none-any.whl (53 kB)\n",
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" |████████████████████████████████| 53 kB 726 kB/s \n",
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"\u001b[?25hCollecting starlette==0.17.1\n",
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" Downloading starlette-0.17.1-py3-none-any.whl (58 kB)\n",
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" |████████████████████████████████| 58 kB 2.0 MB/s \n",
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"\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /opt/conda/lib/python3.9/site-packages (from fastapi) (1.9.0)\n",
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"Requirement already satisfied: anyio<4,>=3.0.0 in /opt/conda/lib/python3.9/site-packages (from starlette==0.17.1->fastapi) (3.5.0)\n",
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"Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.9/site-packages (from pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2->fastapi) (4.0.1)\n",
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"Requirement already satisfied: sniffio>=1.1 in /opt/conda/lib/python3.9/site-packages (from anyio<4,>=3.0.0->starlette==0.17.1->fastapi) (1.2.0)\n",
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"Requirement already satisfied: idna>=2.8 in /opt/conda/lib/python3.9/site-packages (from anyio<4,>=3.0.0->starlette==0.17.1->fastapi) (3.3)\n",
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"Installing collected packages: starlette, fastapi\n",
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"Successfully installed fastapi-0.74.1 starlette-0.17.1\n"
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]
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}
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],
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"source": [
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"!pip install fastapi"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "313e9b33",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: opencv-python in /opt/conda/lib/python3.9/site-packages (4.5.5.62)\n",
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"Collecting pytesseract\n",
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" Downloading pytesseract-0.3.9-py2.py3-none-any.whl (14 kB)\n",
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"Requirement already satisfied: numpy>=1.19.3 in /opt/conda/lib/python3.9/site-packages (from opencv-python) (1.21.5)\n",
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"Requirement already satisfied: packaging>=21.3 in /opt/conda/lib/python3.9/site-packages (from pytesseract) (21.3)\n",
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"Requirement already satisfied: Pillow>=8.0.0 in /opt/conda/lib/python3.9/site-packages (from pytesseract) (8.4.0)\n",
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"Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.9/site-packages (from packaging>=21.3->pytesseract) (3.0.6)\n",
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"Installing collected packages: pytesseract\n",
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"Successfully installed pytesseract-0.3.9\n"
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]
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}
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],
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"source": [
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"!pip install opencv-python pytesseract"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"id": "4261648a",
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"metadata": {},
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"outputs": [],
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"source": [
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"from piper.services import TestMessageAdder, StringValue, TesseractRecognizer\n",
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"from piper.envs import CurrentEnv, DockerEnv\n",
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"from piper.configurations import get_configuration\n",
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"import time\n",
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"import asyncio"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "0e62bf01",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Entering CurrentEnv\n",
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"Setting environment to: <piper.envs.CurrentEnv object at 0x7f6b00014fd0>\n",
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"get_env() <piper.envs.CurrentEnv object at 0x7f6b00014fd0>\n",
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"is_current_env() True\n",
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"value='hello, world!'\n",
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"Exiting CurrentEnv\n",
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"Setting environment to: <piper.envs.DockerEnv object at 0x7f6b00819490>\n"
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]
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}
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],
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"source": [
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"cfg = get_configuration()\n",
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"loop = asyncio.get_event_loop()\n",
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"with CurrentEnv() as env:\n",
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" x = StringValue(value=\"hello, world\")\n",
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" adder = TestMessageAdder(appender=\"!\", port=cfg.docker_app_port)\n",
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" result = await adder(x)\n",
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" print(result)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"id": "80499ace",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Entering CurrentEnv\n",
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"Setting environment to: <piper.envs.CurrentEnv object at 0x7f6afea95040>\n",
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"get_env() <piper.envs.CurrentEnv object at 0x7f6afea95040>\n",
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"is_current_env() True\n",
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"1\n",
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"{1: 1}\n",
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"Exiting CurrentEnv\n",
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"Setting environment to: <piper.envs.DockerEnv object at 0x7f6b00819490>\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/tmp/ipykernel_29/3635331722.py:3: RuntimeWarning: coroutine 'HTTPExecutor.__call__' was never awaited\n",
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" result = await recognizer(\"../tests/ocr_data.jpg\")\n",
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"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
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]
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}
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],
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"source": [
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"# TODO: automate environment\n",
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"with CurrentEnv() as env:\n",
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" recognizer = TesseractRecognizer(port=cfg.docker_app_port)\n",
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" result = await recognizer(\"../tests/ocr_data.jpg\")\n",
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" print(result)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "34c7db2b",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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