Initial commit.

.coveragerc

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+[report]
+fail_under = 85
+show_missing = True

.gitignore

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+*.DS_Store
+*.pyc
+dist/*
+build/*
+tags
+Keras_Preprocessing.egg-info
+
+# test-related
+.coverage
+.cache
+.pytest_cache

.travis.yml

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+sudo: required
+dist: trusty
+language: python
+matrix:
+    include:
+        - python: 2.7
+          env: KERAS_BACKEND=tensorflow TEST_MODE=PEP8
+        - python: 3.6
+          env: KERAS_BACKEND=tensorflow TEST_MODE=DOC
+        - python: 2.7
+          env: KERAS_BACKEND=tensorflow
+        - python: 3.6
+          env: KERAS_BACKEND=tensorflow
+install:
+  # code below is taken from http://conda.pydata.org/docs/travis.html
+  # We do this conditionally because it saves us some downloading if the
+  # version is the same.
+  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
+      wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
+    else
+      wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
+    fi
+  - bash miniconda.sh -b -p $HOME/miniconda
+  - export PATH="$HOME/miniconda/bin:$PATH"
+  - hash -r
+  - conda config --set always_yes yes --set changeps1 no
+  - conda update -q conda
+  # Useful for debugging any issues with conda
+  - conda info -a
+
+  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytest pandas
+  - source activate test-environment
+  - pip install --only-binary=numpy,scipy numpy nose scipy
+
+  # set library path
+  - export LD_LIBRARY_PATH=$HOME/miniconda/envs/test-environment/lib/:$LD_LIBRARY_PATH
+
+  # install PIL for image tests
+  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
+      conda install pil;
+    elif [[ "$TRAVIS_PYTHON_VERSION" == "3.6" ]]; then
+      conda install Pillow;
+    fi
+
+  - pip install -e .[tests]
+
+  # install TensorFlow (CPU version).
+  - pip install tensorflow==1.7
+
+# command to run tests
+script:
+  - if [[ "$TEST_MODE" == "PEP8" ]]; then
+      PYTHONPATH=$PWD:$PYTHONPATH py.test --pep8 -m pep8 -n0;
+    elif [[ "$TEST_MODE" == "DOC" ]]; then
+      PYTHONPATH=$PWD:$PYTHONPATH py.test tests/test_documentation.py;
+    else
+      PYTHONPATH=$PWD:$PYTHONPATH py.test tests/ --cov-config .coveragerc --cov=keras tests/;
+    fi

LICENSE

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+COPYRIGHT
+
+Copyright (c) 2015 - 2018, the respective contributors.
+All rights reserved.
+
+Each contributor holds copyright over their respective contributions.
+The project versioning (Git) records all such contribution source information.
+
+LICENSE
+
+The MIT License (MIT)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+

README.md

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+# Keras Preprocessing
+
+Keras Preprocessing is the data preprocessing
+and data augmentation module of the Keras deep learning library.
+It provides utilities for working with image data, text data,
+and sequence data.
+
+Read the documentation at: https://keras.io/
+
+Keras Preprocessing may be imported directly
+from an up-to-date installation of Keras:
+
+```
+from keras import preprocessing
+```
+
+Keras Preprocessing is compatible with Python 2.7-3.6
+and is distributed under the MIT liense.

keras_preprocessing/__init__.py

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+"""Enables dynamic setting of underlying Keras module.
+"""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+_KERAS_MODULE = None
+
+
+def keras_module():
+    global _KERAS_MODULE
+    if _KERAS_MODULE is None:
+        # Use `import keras` as default
+        # then fallback to `tf.keras`
+        try:
+            import keras
+        except ImportError:
+            try:
+                from tensorflow import keras
+            except ImportError:
+                raise ImportError(
+                    'You must have Keras (or TensorFlow) '
+                    'installed in order to use keras_preprocessing.')
+        set_keras_module(keras)
+    return _KERAS_MODULE
+
+
+def set_keras_module(module):
+    global _KERAS_MODULE
+    _keras_module_validation(module)
+    _KERAS_MODULE = module
+
+
+def _keras_module_validation(module):
+    # TODO: add check on version to make sure
+    # this version of keras-preprocessing is
+    # compatible with the provided Keras version
+    # i.e. `if module.__version__ < ...`
+    pass