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‎.gitignore

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# Created by .ignore support plugin (hsz.mobi)
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### macOS template
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# General
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.DS_Store
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.AppleDouble
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.LSOverride
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# Icon must end with two \r
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Icon
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# Thumbnails
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._*
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# Files that might appear in the root of a volume
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.DocumentRevisions-V100
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.fseventsd
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.Spotlight-V100
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.TemporaryItems
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.Trashes
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.VolumeIcon.icns
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.com.apple.timemachine.donotpresent
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# Directories potentially created on remote AFP share
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.AppleDB
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.AppleDesktop
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Network Trash Folder
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Temporary Items
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.apdisk
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### JetBrains template
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# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
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# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
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# User-specific stuff
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.idea/**/workspace.xml
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.idea/**/tasks.xml
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.idea/**/usage.statistics.xml
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.idea/**/dictionaries
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.idea/**/shelf
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# Generated files
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.idea/**/contentModel.xml
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# Sensitive or high-churn files
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.idea/**/dataSources/
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.idea/**/dataSources.ids
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.idea/**/dataSources.local.xml
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.idea/**/sqlDataSources.xml
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.idea/**/dynamic.xml
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.idea/**/uiDesigner.xml
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.idea/**/dbnavigator.xml
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# Gradle
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.idea/**/gradle.xml
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.idea/**/libraries
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# Gradle and Maven with auto-import
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# When using Gradle or Maven with auto-import, you should exclude module files,
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# since they will be recreated, and may cause churn. Uncomment if using
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# auto-import.
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# .idea/artifacts
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# .idea/compiler.xml
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# .idea/jarRepositories.xml
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# .idea/modules.xml
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# .idea/*.iml
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# .idea/modules
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# *.iml
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# *.ipr
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# CMake
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cmake-build-*/
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# Mongo Explorer plugin
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.idea/**/mongoSettings.xml
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# File-based project format
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*.iws
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# IntelliJ
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out/
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# mpeltonen/sbt-idea plugin
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.idea_modules/
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# JIRA plugin
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atlassian-ide-plugin.xml
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# Cursive Clojure plugin
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.idea/replstate.xml
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# Crashlytics plugin (for Android Studio and IntelliJ)
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com_crashlytics_export_strings.xml
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crashlytics.properties
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crashlytics-build.properties
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fabric.properties
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# Editor-based Rest Client
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.idea/httpRequests
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# Android studio 3.1+ serialized cache file
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.idea/caches/build_file_checksums.ser
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### Python template
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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### Example user template template
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### Example user template
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# IntelliJ project files
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.idea
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*.iml
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out
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gen

‎README.md

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## Install Requirement
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pip install -r requirements.txt
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## Goal
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```bash
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# check if there are Python syntax errors or undefined names
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# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
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# run testcase
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flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
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flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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pytest
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```

‎requirements.txt

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flake8
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pytest

‎template/README.md

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# Example Python Homework
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From https://github.com/uwhpsc-2016/example-python-homework
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*An example homework assignment in Python for demonstrating how homework is done
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in the course.*
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In this (example) assignment we will learn some basic Python. In particular, we
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will learn about basic Python arithmetic, list handling, and how to create
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Python modules as well as an introduction to writing tests using Python's
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`unittest` module.
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## Objective
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Provide definitions to the functions `square` and `cube` defined in the Python
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submodules `example_homework.squaring` and `example_homework.cubing`,
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respectively.
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```python
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def square(x):
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# return the square of x
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def cube(x):
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# return the cube of x
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```
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The provided example test suite can be executed using
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```
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$ python ./test_example_homework.py
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```
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As always, you are welcome (and encouraged) to add your own tests to the test
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suite to ensure that your code is robust. Most of all, make sure that the
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supplied tests pass so that the grading software can import and use your
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function as expected.
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## Grading
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When the homework deadline is reached your implementation of `square` and `cube`
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will be run against the following tests:
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* (1/5) the square and cube of zero is zero (already in the provided test suite)
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* (1/5) the square and cube of two is four and eight, respectively (already in
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the provided test suite)
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* (1/5) `square` and `cube` should behave appropriately with complex numbers as
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input (e.g. `1.0 - 2.0j`)
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* (2/5) these functions should also be able to act on Python `list`s of numbers
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without the use of the Python function `map`. that is, if the input is of type
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`list` then the output should also be of type `list` containing appropriate
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corresponding values
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It is important that the function names and locations DO NOT CHANGE. Otherwise,
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the test suite used for grading may not be able to import your code. If it's
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importable in the test suite provided to you it should be importable in the
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grading test suite.

‎template/example_homework/__init__.py

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‎template/example_homework/cubing.py

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r"""
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cubing.py
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===========
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Provides a definition for the "cube" function. The function prototype should
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be
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cube(x : type) -> type
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Solution
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--------
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Do not modify the interface to `cube()`. This function can, however, call
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other functions.
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"""
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def cube(x):
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"""
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Return the cube of a `x`.
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Parameters
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----------
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x : number
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Any numerical type that can be cubed.
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Returns
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-------
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value : number
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The square of `x`.
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"""
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if type(x) != list:
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return x * x * x
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else:
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return [cube(a) for a in x]

‎template/example_homework/squaring.py

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r"""
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squaring.py
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===========
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Provides a definition for the "square" function. The function prototype should
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be
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square(x : type) -> type
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Solution
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--------
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Do not modify the interface to `square()`. This function can, however, call
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other functions.
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"""
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def square(x):
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"""
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Return the square of a `x`.
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Parameters
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----------
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x : number
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Any numerical type that can be squared.
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Returns
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-------
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value : number
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The square of `x`.
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"""
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if type(x) != list:
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return x * x
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else:
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return [square(a) for a in x]

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