Merge pull request #11 from EmanueleGhelfi/pipelines

Setup Travis and codecov

.travis.yml

@@ -0,0 +1,59 @@
+dist: xenial
+language: python
+addons:
+  artifacts: true
+python:
+- '3.7'
+stages:
+  - Tests
+  - Black
+  - Pylint
+  - Deploy
+before_install:
+  - sudo apt-get install -y --no-install-recommends bc
+addons:
+  apt:
+    update: true
+install: &requirements
+- pip install -r dev-requirements.txt
+- pip install -e .
+jobs:
+  include:
+  - stage: Tests
+    install: *requirements
+    script:
+    - pip install codecov
+    - pip --no-cache-dir install --upgrade git+https://github.com/thisch/pytest-sphinx.git pytest
+    - pip --no-cache-dir install pytest-cov
+    - module=""
+    - for d in $(ls -d */); do if [ -f "$d"__init__.py ]; then module=${d::-1}; fi
+      done
+    - pytest -x -s -vvv --doctest-modules $module --cov=$module
+    after_success:
+    - codecov
+  - stage: Black
+    install: *requirements
+    script:
+    - echo excluding $(git config --file .gitmodules --get-regexp path | awk '{ print
+      $2 }')
+    - black --exclude $(git config --file .gitmodules --get-regexp path | awk '{ print
+      $2 }') --check .
+  - stage: Pylint
+    install: *requirements
+    script:
+    - pip --no-cache-dir install pylint-runner
+    - pylint_runner --rcfile=.pylintrc --output-format=text . | tee pylint.txt
+    - score=$(sed -n 's/^Your code has been rated at \([-0-9.]*\)\/.*/\1/p' pylint.txt)
+    - if (( $(echo "$score < 8" |bc -l) )); then echo "Your Pylint score is too low, $score < 8!"; exit 1; fi
+  - stage: Deploy
+    script: skip
+    deploy:
+      provider: pypi
+      user: emanueleghelfi
+      password:
+        secure: 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
+      on:
+        tags: true
+        all_branches: true
+    # deploy only if tag respects semantic versioning pre-pended with v (e.g. v0.1.0)
+    if: tag =~ /^v(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)(-(0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*)(\.(0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*))*)?(\+[0-9a-zA-Z-]+(\.[0-9a-zA-Z-]+)*)?$/

README.md

@@ -5,6 +5,8 @@
 ![PyPy - Version](https://badge.fury.io/py/ashpy.svg)
 ![PyPI - License](https://img.shields.io/pypi/l/ashpy.svg)
 ![Ashpy - Badge](https://img.shields.io/badge/package-ashpy-brightgreen.svg)
+[![codecov](https://codecov.io/gh/zurutech/ashpy/branch/master/graph/badge.svg)](https://codecov.io/gh/zurutech/ashpy)
+[![Build Status](https://travis-ci.org/zurutech/ashpy.svg?branch=master)](https://travis-ci.org/zurutech/ashpy)
 
 AshPy is a TensorFlow 2.0 library for (**distributed**) training, evaluation, model selection, and fast prototyping.
 It is designed to ease the burden of setting up all the nuances of the architectures built to train complex custom deep learning models.
@@ -19,11 +21,11 @@ strategy = tf.distribute.MirroredStrategy()
 
 # work inside the scope of the created strategy
 with strategy.scope():
-    
+
     # get the MNIST dataset
     train, validation = tf.keras.datasets.mnist.load_data()
 
-    # process data if needed 
+    # process data if needed
     def process(images, labels):
         data_images = tf.data.Dataset.from_tensor_slices((images)).map(
             lambda x: tf.reshape(x, (28 * 28,))
@@ -49,10 +51,10 @@ with strategy.scope():
             tf.keras.layers.Dense(10),
         ]
     )
-    
+
     # define the optimizer
     optimizer = tf.optimizers.Adam(1e-3)
-    
+
     # the loss is provided by the AshPy library
     loss = ClassifierLoss(tf.losses.SparseCategoricalCrossentropy(from_logits=True))
     logdir = "testlog"
@@ -69,12 +71,12 @@ with strategy.scope():
             tf.metrics.BinaryAccuracy(), model_selection_operator=operator.gt
         ),
     ]
-    
+
     # define the AshPy trainer
     trainer = ClassifierTrainer(
         model, optimizer, loss, epochs, metrics, logdir=logdir
     )
-    
+
     # run the training process
     trainer(train, validation)
 ```

dev-requirements.in

@@ -0,0 +1,19 @@
+# Core packages
+# uncomment the following line to install the gpu-version
+# tensorflow-gpu==2.0.0b1
+tensorflow==2.0.0b1
+tensorflow_hub
+
+# Code Style
+black
+pylint
+flake8
+isort
+rope
+mypy
+
+# Testing
+pytest
+
+# pytest-sphix
+#git+https://github.com/thisch/pytest-sphinx.git

dev-requirements.txt

@@ -0,0 +1,58 @@
+#
+# This file is autogenerated by pip-compile
+# To update, run:
+#
+#    pip-compile --output-file=dev-requirements.txt --pre dev-requirements.in
+#
+absl-py==0.7.1            # via tb-nightly, tensorflow
+appdirs==1.4.3            # via black
+astor==0.8.0              # via tensorflow
+astroid==2.2.5            # via pylint
+atomicwrites==1.3.0       # via pytest
+attrs==19.1.0             # via black, pytest
+black==19.3b0
+click==7.0                # via black
+entrypoints==0.3          # via flake8
+flake8==3.7.8
+gast==0.2.2               # via tensorflow
+google-pasta==0.1.7       # via tensorflow
+grpcio==1.22.0            # via tb-nightly, tensorflow
+h5py==2.9.0               # via keras-applications
+importlib-metadata==0.18  # via pluggy, pytest
+isort==4.3.21
+keras-applications==1.0.8  # via tensorflow
+keras-preprocessing==1.1.0  # via tensorflow
+lazy-object-proxy==1.4.1  # via astroid
+markdown==3.1.1           # via tb-nightly
+mccabe==0.6.1             # via flake8, pylint
+more-itertools==7.1.0     # via pytest
+mypy-extensions==0.4.1    # via mypy
+mypy==0.720
+numpy==1.16.4             # via h5py, keras-applications, keras-preprocessing, tb-nightly, tensorflow, tensorflow-hub
+packaging==19.0           # via pytest
+pluggy==0.12.0            # via pytest
+protobuf==3.9.0           # via tb-nightly, tensorflow, tensorflow-hub
+py==1.8.0                 # via pytest
+pycodestyle==2.5.0        # via flake8
+pyflakes==2.1.1           # via flake8
+pylint==2.3.1
+pyparsing==2.4.0          # via packaging
+pytest==5.0.1
+rope==0.14.0
+six==1.12.0               # via absl-py, astroid, grpcio, h5py, keras-preprocessing, packaging, protobuf, tb-nightly, tensorflow, tensorflow-hub
+tb-nightly==1.14.0a20190603  # via tensorflow
+tensorflow-hub==0.5.0
+tensorflow==2.0.0b1
+termcolor==1.1.0          # via tensorflow
+tf-estimator-nightly==1.14.0.dev2019060501  # via tensorflow
+toml==0.10.0              # via black
+typed-ast==1.4.0          # via astroid, mypy
+typing-extensions==3.7.4  # via mypy
+wcwidth==0.1.7            # via pytest
+werkzeug==0.15.4          # via tb-nightly
+wheel==0.33.4             # via tb-nightly, tensorflow
+wrapt==1.11.2             # via astroid, tensorflow
+zipp==0.5.2               # via importlib-metadata
+
+# The following packages are considered to be unsafe in a requirements file:
+# setuptools==41.0.1        # via markdown, protobuf, tb-nightly