Setup Travis CI so that unit tests are run automatically (#117)

.travis.yml

-language: python
+# note dist: 'trusty' does not work here
 dist: xenial
+
+language: python
+
+# cache miniconda installer and similar files
+cache:
+  directories:
+  - /home/travis/download
+
+# This matrix tests that the code works on Python 3.5, 3.6, and passes lint.
 matrix:
+  fast_finish: true
   include:
-    - python: "3.5"
+    - env: PYTHON_VERSION="3.5"
+    - env: PYTHON_VERSION="3.6"
+    - env: PYTHON_VERSION="3.5" RUN_FLAKE8="true" SKIP_TESTS="true"
+
 addons:
   apt:
     packages:
       sox
       libsox-dev
       libsox-fmt-all
-            libpython3.5-dev
-install:
-  - pip install torch
-  - python setup.py install
-script:
-  - python -m unittest
+
+notifications:
+  email: false
+
+install: source build_tools/travis/install.sh
+script: bash build_tools/travis/test_script.sh

README.md

 torchaudio: an audio library for PyTorch
 ================================================
 
+[![Build Status](https://travis-ci.org/pytorch/audio.svg?branch=master)](https://travis-ci.org/pytorch/audio)
+
 - [Support audio I/O (Load files, Save files)](http://pytorch.org/audio/)
   - Load the following formats into a torch Tensor
     - mp3, wav, aac, ogg, flac, avr, cdda, cvs/vms,

build_tools/travis/install.sh

+#!/bin/bash
+# This script is meant to be called by the "install" step defined in
+# .travis.yml. See http://docs.travis-ci.com/ for more details.
+# The behavior of the script is controlled by environment variabled defined
+# in the .travis.yml in the top level folder of the project.
+
+ set -e
+
+ echo 'List files from cached directories'
+if [ -d $HOME/download ]; then
+    echo 'download:'
+    ls $HOME/download
+fi
+if [ -d $HOME/.cache/pip ]; then
+    echo 'pip:'
+    ls $HOME/.cache/pip
+fi
+
+ # Deactivate the travis-provided virtual environment and setup a
+# conda-based environment instead
+deactivate
+
+ # Add the miniconda bin directory to $PATH
+export PATH=/home/travis/miniconda3/bin:$PATH
+echo $PATH
+
+ # Use the miniconda installer for setup of conda itself
+pushd .
+cd
+mkdir -p download
+cd download
+if [[ ! -f /home/travis/miniconda3/bin/activate ]]
+then
+    if [[ ! -f miniconda.sh ]]
+    then
+        wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh \
+             -O miniconda.sh
+    fi
+    chmod +x miniconda.sh && ./miniconda.sh -b -f
+    conda update --yes conda
+    echo "Creating environment to run tests in."
+    conda create -n testenv --yes python="$PYTHON_VERSION"
+fi
+cd ..
+popd
+
+ # Activate the python environment we created.
+source activate testenv
+
+ # Install requirements via pip in our conda environment
+pip install -r requirements.txt
+
+ # Install the following only if running tests
+if [[ "$SKIP_TESTS" != "true" ]]; then
+    # PyTorch
+    conda install --yes pytorch -c pytorch
+
+     # TorchAudio CPP Extensions
+    pip install .
+fi

build_tools/travis/test_script.sh

+#!/bin/bash
+# This script is meant to be called by the "script" step defined in
+# .travis.yml. See http://docs.travis-ci.com/ for more details.
+# The behavior of the script is controlled by environment variabled defined
+# in the .travis.yml in the top level folder of the project.
+set -e
+
+python --version
+
+run_tests() {
+  # find all the test files that match "test*.py"
+  TEST_FILES="$(find test/ -type f -name "test*.py" | sort)"
+  echo "Test files are:"
+  echo $TEST_FILES
+
+  echo "Executing tests:"
+  EXIT_STATUS=0
+  for FILE in $TEST_FILES; do
+    # run each file on a separate process. if one fails, just keep going and
+    # return the final exit status.
+    python -m unittest -v $FILE
+    STATUS=$?
+    EXIT_STATUS="$(($EXIT_STATUS+STATUS))"
+  done
+
+  echo "Done, exit status: $EXIT_STATUS"
+  exit $EXIT_STATUS
+}
+
+if [[ "$RUN_FLAKE8" == "true" ]]; then
+  flake8
+fi
+
+if [[ "$SKIP_TESTS" != "true" ]]; then
+  run_tests
+fi

requirements.txt

+# Optional for torchaudio.kaldi_io
+numpy
+kaldi_io
+
+# Required for tests only:
+
+# Style-checking for PEP8
+flake8
+
+# Used for comparison of outputs in tests
+librosa
+scipy

test/common_utils.py

+import os
+from shutil import copytree
+import tempfile
+
+
+TEST_DIR_PATH = os.path.dirname(os.path.realpath(__file__))
+
+
+def create_temp_assets_dir():
+    """
+    Creates a temporary directory and moves all files from test/assets there.
+    Returns a Tuple[string, TemporaryDirectory] which is the folder path
+    and object.
+    """
+    tmp_dir = tempfile.TemporaryDirectory()
+    copytree(os.path.join(TEST_DIR_PATH, "assets"),
+             os.path.join(tmp_dir.name, "assets"))
+    return tmp_dir.name, tmp_dir

test/test.py

 import unittest
+import test.common_utils
 import torch
 import torchaudio
 import math
@@ -6,7 +7,7 @@ import os
 
 
 class Test_LoadSave(unittest.TestCase):
-    test_dirpath = os.path.dirname(os.path.realpath(__file__))
+    test_dirpath, test_dir = test.common_utils.create_temp_assets_dir()
     test_filepath = os.path.join(test_dirpath, "assets",
                                  "steam-train-whistle-daniel_simon.mp3")
 

test/test_dataloader.py

 import unittest
+import test.common_utils
 import torch
 import torch.nn as nn
 from torch.utils.data import Dataset, DataLoader
@@ -9,11 +10,12 @@ import os
 
 class TORCHAUDIODS(Dataset):
 
-    test_dirpath = os.path.dirname(os.path.realpath(__file__))
+    test_dirpath, test_dir = test.common_utils.create_temp_assets_dir()
 
     def __init__(self):
         self.asset_dirpath = os.path.join(self.test_dirpath, "assets")
-        self.data = [os.path.join(self.asset_dirpath, fn) for fn in os.listdir(self.asset_dirpath)]
+        sound_files = list(filter(lambda x: '.wav' in x or '.mp3' in x, os.listdir(self.asset_dirpath)))
+        self.data = [os.path.join(self.asset_dirpath, fn) for fn in sound_files]
         self.si, self.ei = torchaudio.info(os.path.join(self.asset_dirpath, "sinewave.wav"))
         self.si.precision = 16
         self.E = torchaudio.sox_effects.SoxEffectsChain()
@@ -32,17 +34,20 @@ class TORCHAUDIODS(Dataset):
 
 
 class Test_DataLoader(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        torchaudio.initialize_sox()
+
+    @classmethod
+    def tearDownClass(cls):
+        torchaudio.shutdown_sox()
+
     def test_1(self):
         expected_size = (2, 1, 16000)
         ds = TORCHAUDIODS()
         dl = DataLoader(ds, batch_size=2)
         for x in dl:
-            # print(x.size())
-            continue
-
             self.assertTrue(x.size() == expected_size)
 
 if __name__ == '__main__':
-    torchaudio.initialize_sox()
     unittest.main()
-    torchaudio.shutdown_sox()

test/test_kaldi_io.py

@@ -2,12 +2,13 @@ import os
 import torch
 import torchaudio.kaldi_io as kio
 import unittest
+import test.common_utils
 
 
 class KaldiIOTest(unittest.TestCase):
     data1 = [[1, 2, 3], [11, 12, 13], [21, 22, 23]]
     data2 = [[31, 32, 33], [41, 42, 43], [51, 52, 53]]
-    test_dirpath = os.path.dirname(os.path.realpath(__file__))
+    test_dirpath, test_dir = test.common_utils.create_temp_assets_dir()
 
     def _test_helper(self, file_name, expected_data, fn, expected_dtype):
         """ Takes a file_name to the input data and a function fn to extract the

test/test_legacy.py

 import unittest
+import test.common_utils
 import torch
 import torchaudio
 from torchaudio.legacy import save, load
@@ -7,7 +8,7 @@ import os
 
 
 class Test_LoadSave(unittest.TestCase):
-    test_dirpath = os.path.dirname(os.path.realpath(__file__))
+    test_dirpath, test_dir = test.common_utils.create_temp_assets_dir()
     test_filepath = os.path.join(test_dirpath, "assets",
                                  "steam-train-whistle-daniel_simon.mp3")
 

test/test_sox_effects.py

 import unittest
+import test.common_utils
 import torch
 import torchaudio
 import math
@@ -6,10 +7,18 @@ import os
 
 
 class Test_SoxEffectsChain(unittest.TestCase):
-    test_dirpath = os.path.dirname(os.path.realpath(__file__))
+    test_dirpath, test_dir = test.common_utils.create_temp_assets_dir()
     test_filepath = os.path.join(test_dirpath, "assets",
                                  "steam-train-whistle-daniel_simon.mp3")
 
+    @classmethod
+    def setUpClass(cls):
+        torchaudio.initialize_sox()
+
+    @classmethod
+    def tearDownClass(cls):
+        torchaudio.shutdown_sox()
+
     def test_single_channel(self):
         fn_sine = os.path.join(self.test_dirpath, "assets", "sinewave.wav")
         E = torchaudio.sox_effects.SoxEffectsChain()
@@ -220,6 +229,4 @@ class Test_SoxEffectsChain(unittest.TestCase):
 
 
 if __name__ == '__main__':
-    torchaudio.initialize_sox()
     unittest.main()
-    torchaudio.shutdown_sox()

test/test_transforms.py

@@ -7,6 +7,7 @@ import torchaudio
 from torchaudio.common_utils import IMPORT_LIBROSA, IMPORT_SCIPY
 import torchaudio.transforms as transforms
 import unittest
+import test.common_utils
 
 if IMPORT_LIBROSA:
     import librosa
@@ -25,7 +26,7 @@ class Tester(unittest.TestCase):
     sig.unsqueeze_(1)  # (64000, 1)
     sig = (sig * volume * 2**31).long()
     # file for stereo stft test
-    test_dirpath = os.path.dirname(os.path.realpath(__file__))
+    test_dirpath, test_dir = test.common_utils.create_temp_assets_dir()
     test_filepath = os.path.join(test_dirpath, "assets",
                                  "steam-train-whistle-daniel_simon.mp3")