Add codecov to CI and badges to readme (#32)

* Add CI step to generateand upload codecov report

* Temporarly change CI branch to test codecov

* Fix package name given to pytest

* Add codecov badge to README

* Fix badge link

* Change CI action name

* Add codecov badge (for real this time)

The badge I added before was the GitHub action badge not the codecov badge 😫

* Upload report only once per CI job

* Add PyPI badge

* Change branch from dev to master

* Disable codecov PR comments

.codecov.yml

@@ -0,0 +1 @@
+comment: off

.github/workflows/ci_build.yml

@@ -0,0 +1,46 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: ci-build
+
+on:
+  push:
+    branches: [master]
+  pull_request:
+    branches: [master]
+
+jobs:
+  ci-build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.5, 3.6, 3.7, 3.8]
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v1
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -e .[tests]
+      - name: Lint with flake8
+        run: |
+          pip install flake8
+          # stop the build if there are Python syntax errors or undefined names
+          flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+          # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+          flake8 . --count --exit-zero --max-complexity=15 --max-line-length=127 --statistics
+      - name: Run tests and generate coverage
+        run: |
+          pytest --cov=torch_lr_finder --cov-report=xml tests/
+      - name: Upload coverage to Codecov
+        if: matrix.python-version == 3.8
+        uses: codecov/codecov-action@v1
+        with:
+          file: ./coverage.xml
+          flags: unittests
+          name: codecov-ci
+          fail_ci_if_error: false

README.md

@@ -1,5 +1,9 @@
 # PyTorch learning rate finder
 
+![](https://github.com/davidtvs/pytorch-lr-finder/workflows/ci-build/badge.svg?branch=master)
+[![codecov](https://codecov.io/gh/davidtvs/pytorch-lr-finder/branch/master/graph/badge.svg)](https://codecov.io/gh/davidtvs/pytorch-lr-finder)
+[![](https://img.shields.io/pypi/v/torch-lr-finder)](https://github.com/davidtvs/pytorch-lr-finder)
+
 A PyTorch implementation of the learning rate range test detailed in [Cyclical Learning Rates for Training Neural Networks](https://arxiv.org/abs/1506.01186) by Leslie N. Smith and the tweaked version used by [fastai](https://github.com/fastai/fastai).
 
 The learning rate range test is a test that provides valuable information about the optimal learning rate. During a pre-training run, the learning rate is increased linearly or exponentially between two boundaries. The low initial learning rate allows the network to start converging and as the learning rate is increased it will eventually be too large and the network will diverge.

setup.py

@@ -57,9 +57,10 @@
     python_requires=">=3.5.9",
     install_requires=["matplotlib", "numpy", "torch>=0.4.1", "tqdm"],
     extras_require={
-        "tests": ["pytest"],
+        "tests": ["pytest", "pytest-cov"],
         "dev": [
             "pytest",
+            "pytest-cov",
             "flake8",
             "black",
             "pep8-naming",