release version 0.2.0-dev

.coveralls.yml

@@ -0,0 +1 @@
+repo_token: DZRGgrLojw7WNCe7PR8b6OgGLCiC7sZUD

.gitignore

@@ -50,3 +50,4 @@ check.py
 .coverage
 .benchmarks
 .tox
+.pypirc

.travis.yml

@@ -12,13 +12,14 @@ install:
 
 script:
   - echo "Running Tests ..."
-  - pytest
   - pytest -v --cov
   - flake8
-  - coverage run --source=tensorflow_scientific -m pytest
+  - coverage run --source=tensorflow_scientific setup.py test
 
 after_success:
   - coveralls
+  # - python setup.py sdist bdist_wheel
+  # - twine upload dist/*
 
 notifications:
   email:

MANIFEST.in

@@ -0,0 +1,2 @@
+recursive-exclude tensorflow_scientific/quantum *
+recursive-exclude tensorflow_scientific/solvers *

setup.py

@@ -25,16 +25,14 @@
 from setuptools import find_packages
 from setuptools import setup
 import os
-import sys
 
-# To enable importing version.py directly, we add its path to sys.path.
-version_path = os.path.join(os.path.dirname(__file__), 'tensorflow_scientific')
-sys.path.append(version_path)
-from version import __version__     # noqa: E402
+version = {}
+base_dir = os.path.dirname(os.path.abspath(__file__))
+with open(os.path.join(base_dir, "tensorflow_scientific", "version.py")) as fp:
+    exec(fp.read(), version)
 
 
 project_name = 'tensorflow-scientific'
-project_version = '0.1.0-dev'
 
 REQUIRED_PACKAGES = [
     'six >= 1.10.0',
@@ -46,14 +44,14 @@
 
 setup(
     name=project_name,
-    version=__version__,
+    version=version['__version__'],
     description='Scientific modeling in TensorFlow',
     long_description=long_description,
     long_description_content_type='text/markdown',
     author='Mukesh Mithrakumar',
     author_email='mukesh@mukeshmithrakumar.com',
     url='https://github.com/mukeshmithrakumar/scientific',
-    packages=find_packages(exclude=['tests']),
+    packages=find_packages(),
     install_requires=REQUIRED_PACKAGES,
     include_package_data=True,
     zip_safe=False,

tensorflow_scientific/integrate/odes.py

@@ -554,13 +554,13 @@ def odeint_fixed(func, y0, t, dt=None, method='rk4', name=None):
         dt = intervals
     dt = ops.convert_to_tensor(dt, preferred_dtype=dtypes.float64, name='dt')
 
-    _check_input_types(y0, t, dt)
-    _check_input_sizes(t, dt)
-
     steps_on_intervals = math_ops.ceil(intervals / dt)
     dt = intervals / steps_on_intervals
     steps_on_intervals = math_ops.cast(steps_on_intervals, dtype=dtypes.int32)
 
+    _check_input_types(y0, t, dt)
+    _check_input_sizes(t, dt)
+
     with _assert_increasing(t):
         if method == 'midpoint':
             return _MidpointFixedGridIntegrator().integrate(func, y0, t, dt, steps_on_intervals)

tensorflow_scientific/integrate/tests/odes_test.py

@@ -227,12 +227,9 @@ def _test_everything(self, method):
         self._test_integrate_sine_all(method)
         self._test_integrate_gaussian_all(method)
 
-    # TODO: Skipping the next two functions because of the following error
-    @pytest.mark.skip(reason="np assert_allclose with ufunc isfinite not supported for the input types")
     def test_midpoint(self):
         self._test_everything('midpoint')
 
-    @pytest.mark.skip(reason="np assert_allclose with ufunc isfinite not supported for the input types")
     def test_rk4(self):
         self._test_everything('rk4')
 
@@ -243,19 +240,15 @@ def test_size_exceptions(self):
         dt_wrong_dim = np.expand_dims(np.linspace(0., 2., 99), axis=0)
         times_wrong_dim = np.expand_dims(np.linspace(0., 2., 100), axis=0)
 
-        with self.assertRaises(ValueError):
-            self._test_integrate_gaussian('midpoint', times_wrong_dim, dt)
+        with self.assertRaises(errors_impl.InvalidArgumentError):
+            self._test_integrate_gaussian('midpoint', times, dt_wrong_length)
 
         with self.assertRaises(ValueError):
             self._test_integrate_gaussian('midpoint', times, dt_wrong_dim)
 
-        with self.assertRaises(ValueError):
-            self._test_integrate_gaussian('midpoint', times, dt_wrong_length)
+        with self.assertRaises(errors_impl.InvalidArgumentError):
+            self._test_integrate_gaussian('midpoint', times_wrong_dim, dt)
 
 
 if __name__ == '__main__':
-    # python -m  tensorflow_scientific.integrate.tests.odes_test
-    # Use pytest benchmark to benchmark the functions to see the speeds
-    # use pytest -v --cov to check the code coverage
-    # pytest -v
     test.main()

tensorflow_scientific/version.py

@@ -16,7 +16,7 @@
 
 # We follow Semantic Versioning (https://semver.org/)
 _MAJOR_VERSION = '0'
-_MINOR_VERSION = '1'
+_MINOR_VERSION = '2'
 _PATCH_VERSION = '0'
 
 # When building releases, we can update this value on the release branch to
@@ -26,7 +26,7 @@
 # 'development' version, labeled 'dev'.
 _VERSION_SUFFIX = 'dev'
 
-# Example, '0.1.0-dev'
+# Example, '0.2.0-dev'
 __version__ = '.'.join([
     _MAJOR_VERSION,
     _MINOR_VERSION,

test-requirements.txt

@@ -2,3 +2,4 @@ pytest
 flake8
 pytest-cov
 twine
+coveralls