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Move CI tests from Travis to GitHub (#3889)
* Add initial support for moving tests to GitHub * Add setup Python step in the workflow * Remove Travis CI config file * Fix GitHub action file for build to trigger on PR * Use Python 3.8 as tensorflow is not yet supported * Fix ciphers.hill_cipher doctest error * Fix: instagram crawler tests failing on GitHub actions * Fix floating point errors in doctest * Small change to test cache * Apply suggestions from code review Co-authored-by: Christian Clauss <cclauss@me.com> * Update instagram_crawler.py Co-authored-by: Christian Clauss <cclauss@me.com>
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25
.github/workflows/build.yml
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25
.github/workflows/build.yml
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@ -0,0 +1,25 @@
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name: "build"
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on:
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pull_request
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions/setup-python@v2
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with:
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python-version: "3.8"
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- uses: actions/cache@v2
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip setuptools six
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python -m pip install pytest-cov -r requirements.txt
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- name: Run tests
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run: pytest --doctest-modules --ignore=project_euler/ --cov-report=term-missing:skip-covered --cov=. .
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- if: ${{ success() }}
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run: scripts/build_directory_md.py 2>&1 | tee DIRECTORY.md
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17
.travis.yml
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.travis.yml
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os: linux
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dist: focal
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language: python
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python: 3.8
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cache: pip
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before_install: pip install --upgrade pip setuptools six
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jobs:
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include:
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- name: Build
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install: pip install pytest-cov -r requirements.txt
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script:
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- pytest --doctest-modules --ignore=project_euler/ --cov-report=term-missing:skip-covered --cov=. .
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after_success:
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- scripts/build_directory_md.py 2>&1 | tee DIRECTORY.md
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notifications:
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webhooks: https://www.travisbuddy.com/
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on_success: never
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@ -155,8 +155,8 @@ class HillCipher:
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"""
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>>> hill_cipher = HillCipher(numpy.array([[2, 5], [1, 6]]))
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>>> hill_cipher.make_decrypt_key()
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array([[ 6., 25.],
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[ 5., 26.]])
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array([[ 6, 25],
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[ 5, 26]])
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"""
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det = round(numpy.linalg.det(self.encrypt_key))
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@ -25,8 +25,9 @@ def linear_regression_prediction(
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First method: linear regression
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input : training data (date, total_user, total_event) in list of float
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output : list of total user prediction in float
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>>> linear_regression_prediction([2,3,4,5], [5,3,4,6], [3,1,2,4], [2,1], [2,2])
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5.000000000000003
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>>> n = linear_regression_prediction([2,3,4,5], [5,3,4,6], [3,1,2,4], [2,1], [2,2])
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>>> abs(n - 5.0) < 1e-6 # Checking precision because of floating point errors
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True
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"""
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x = [[1, item, train_mtch[i]] for i, item in enumerate(train_dt)]
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x = np.array(x)
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@ -23,7 +23,7 @@ class InstagramUser:
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"""
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Class Instagram crawl instagram user information
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Usage: (doctest failing on Travis CI)
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Usage: (doctest failing on GitHub Actions)
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# >>> instagram_user = InstagramUser("github")
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# >>> instagram_user.is_verified
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True
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@ -102,10 +102,10 @@ def test_instagram_user(username: str = "github") -> None:
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A self running doctest
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>>> test_instagram_user()
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"""
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from os import getenv
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import os
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if getenv("CONTINUOUS_INTEGRATION"):
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return # test failing on Travis CI
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if os.environ.get("CI"):
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return None # test failing on GitHub Actions
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instagram_user = InstagramUser(username)
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assert instagram_user.user_data
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assert isinstance(instagram_user.user_data, dict)
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