RF: do not use hypothesis

Proved to give some troubles along the way and its use
was quite basic and only in one tests module.  So - replaced
with simpler straightforward tests

Author: yarikoptic

.travis.yml

@@ -13,7 +13,7 @@ cache:
     - $HOME/.cache/pip
 env:
     global:
-        - DEPENDS="six numpy scipy matplotlib h5py pillow pydicom hypothesis"
+        - DEPENDS="six numpy scipy matplotlib h5py pillow pydicom"
         - OPTIONAL_DEPENDS=""
         - INSTALL_TYPE="setup"
         - EXTRA_WHEELS="https://5cf40426d9f06eb7461d-6fe47d9331aba7cd62fc36c7196769e4.ssl.cf2.rackcdn.com"
@@ -97,7 +97,7 @@ before_install:
     - source venv/bin/activate
     - python --version # just to check
     - pip install -U pip wheel  # needed at one point
-    - retry pip install nose flake8 mock hypothesis  # always
+    - retry pip install nose flake8 mock  # always
     - pip install $EXTRA_PIP_FLAGS $DEPENDS $OPTIONAL_DEPENDS
     - if [ "${COVERAGE}" == "1" ]; then
       pip install coverage;

appveyor.yml

@@ -22,7 +22,7 @@ install:
   - SET PATH=%PYTHON%;%PYTHON%\Scripts;%PATH%
 
   # Install the dependencies of the project.
-  - pip install numpy scipy matplotlib nose h5py mock hypothesis pydicom
+  - pip install numpy scipy matplotlib nose h5py mock pydicom
   - pip install .
   - SET NIBABEL_DATA_DIR=%CD%\nibabel-data
 

dev-requirements.txt

@@ -2,4 +2,3 @@
 -r requirements.txt
 nose
 mock
-hypothesis

nibabel/tests/test_diff.py

@@ -7,9 +7,6 @@
 from os.path import (dirname, join as pjoin, abspath)
 import numpy as np
 
-from hypothesis import given
-import hypothesis.strategies as st
-
 
 DATA_PATH = abspath(pjoin(dirname(__file__), 'data'))
 
@@ -18,51 +15,39 @@
 # TODO: MAJOR TO DO IS TO FIGURE OUT HOW TO USE HYPOTHESIS FOR LONGER LIST LENGTHS WHILE STILL CONTROLLING FOR OUTCOMES
 
 
-@given(st.data())
-def test_diff_values_int(data):
-    x = data.draw(st.integers(), label='x')
-    y = data.draw(st.integers(min_value=x + 1), label='x+1')
-    z = data.draw(st.integers(max_value=x - 1), label='x-1')
-
-    assert not are_values_different(x, x)
-    assert are_values_different(x, y)
-    assert are_values_different(x, z)
-    assert are_values_different(y, z)
-
-
-@given(st.data())
-def test_diff_values_float(data):
-    x = data.draw(st.just(0), label='x')
-    y = data.draw(st.floats(min_value=1e8), label='y')
-    z = data.draw(st.floats(max_value=-1e8), label='z')
+def test_diff_values_int():
+    long = 10**30
+    assert not are_values_different(0, 0)
+    assert not are_values_different(1, 1)
+    assert not are_values_different(long, long)
+    assert are_values_different(0, 1)
+    assert are_values_different(1, 2)
+    assert are_values_different(1, long)
 
-    assert not are_values_different(x, x)
-    assert are_values_different(x, y)
-    assert are_values_different(x, z)
-    assert are_values_different(y, z)
 
+def test_diff_values_float():
+    assert not are_values_different(0., 0.)
+    assert not are_values_different(0., 0., 0.) # can take more
+    assert not are_values_different(1.1, 1.1)
+    assert are_values_different(0., 1.1)
+    assert are_values_different(0., 0, 1.1)
+    assert are_values_different(1., 2.)
 
-@given(st.data())
-def test_diff_values_mixed(data):
-    type_float = data.draw(st.floats(), label='float')
-    type_int = data.draw(st.integers(), label='int')
-    type_none = data.draw(st.none(), label='none')
 
-    assert are_values_different(type_float, type_int)
-    assert are_values_different(type_float, type_none)
-    assert are_values_different(type_int, type_none)
+def test_diff_values_mixed():
+    assert are_values_different(1.0, 1)
+    assert are_values_different(1.0, "1")
+    assert are_values_different(1, "1")
+    assert are_values_different(1, None)
     assert are_values_different(np.ndarray([0]), 'hey')
-    assert not are_values_different(type_none, type_none)
+    assert not are_values_different(None, None)
 
 
-@given(st.data())
-def test_diff_values_array(data):
-    a = data.draw(st.lists(elements=st.integers(min_value=0), min_size=1))
-    b = data.draw(st.lists(elements=st.integers(max_value=-1), min_size=1))
-    c = data.draw(st.lists(elements=st.floats(min_value=1e8), min_size=1))
-    d = data.draw(st.lists(elements=st.floats(max_value=-1e8), min_size=1))
-    # TODO: Figure out a way to include 0 in lists (arrays)
+def test_diff_values_array():
+    a_int = np.array([1, 2])
+    a_float = a_int.astype(float)
 
-    assert are_values_different(a, b)
-    assert are_values_different(c, d)
-    assert not are_values_different(a, a)
+    #assert are_values_different(a_int, a_float)
+    assert are_values_different(np.arange(3), np.arange(1, 4))
+    assert not are_values_different(a_int, a_int)
+    assert not are_values_different(a_float, a_float)