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Original file line number | Diff line number | Diff line change |
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@@ -11,6 +11,8 @@ Classes | |
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.. autoclass:: Array | ||
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.. autoclass:: ArrayOrNone | ||
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.. autoclass:: CArray | ||
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Function | ||
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@@ -0,0 +1,177 @@ | ||
#------------------------------------------------------------------------------ | ||
# | ||
# Copyright (c) 2014, Enthought, Inc. | ||
# All rights reserved. | ||
# | ||
# This software is provided without warranty under the terms of the BSD | ||
# license included in /LICENSE.txt and may be redistributed only | ||
# under the conditions described in the aforementioned license. The license | ||
# is also available online at http://www.enthought.com/licenses/BSD.txt | ||
# | ||
# Thanks for using Enthought open source! | ||
# | ||
#------------------------------------------------------------------------------ | ||
""" | ||
Tests for the ArrayOrNone TraitType. | ||
""" | ||
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from __future__ import absolute_import | ||
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from traits.testing.unittest_tools import unittest | ||
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try: | ||
import numpy | ||
except ImportError: | ||
numpy_available = False | ||
else: | ||
numpy_available = True | ||
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from traits.testing.unittest_tools import UnittestTools | ||
from ..api import (ArrayOrNone, HasTraits, List, NO_COMPARE, on_trait_change, | ||
TraitError) | ||
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if numpy_available: | ||
# Use of `ArrayOrNone` requires NumPy to be installed. | ||
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class Foo(HasTraits): | ||
maybe_array = ArrayOrNone | ||
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maybe_float_array = ArrayOrNone(dtype=float) | ||
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maybe_two_d_array = ArrayOrNone(shape=(None, None)) | ||
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maybe_array_with_default = ArrayOrNone(value=[1, 2, 3]) | ||
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maybe_array_no_compare = ArrayOrNone(comparison_mode=NO_COMPARE) | ||
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@unittest.skipUnless(numpy_available, "numpy not available") | ||
class TestArrayOrNone(unittest.TestCase, UnittestTools): | ||
""" | ||
Tests for the ArrayOrNone TraitType. | ||
""" | ||
def test_default(self): | ||
foo = Foo() | ||
self.assertIsNone(foo.maybe_array) | ||
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def test_explicit_default(self): | ||
foo = Foo() | ||
self.assertIsInstance(foo.maybe_array_with_default, numpy.ndarray) | ||
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def test_default_validation(self): | ||
# CArray and Array validate the default at class creation time; | ||
# we do the same for ArrayOrNone. | ||
with self.assertRaises(TraitError): | ||
class Bar(HasTraits): | ||
bad_array = ArrayOrNone(shape=(None, None), value=[1, 2, 3]) | ||
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def test_setting_array_from_array(self): | ||
foo = Foo() | ||
test_array = numpy.arange(5) | ||
foo.maybe_array = test_array | ||
output_array = foo.maybe_array | ||
self.assertIsInstance(output_array, numpy.ndarray) | ||
self.assertEqual(output_array.dtype, test_array.dtype) | ||
self.assertEqual(output_array.shape, test_array.shape) | ||
self.assertTrue((output_array == test_array).all()) | ||
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def test_setting_array_from_list(self): | ||
foo = Foo() | ||
test_list = [5, 6, 7, 8, 9] | ||
foo.maybe_array = test_list | ||
output_array = foo.maybe_array | ||
self.assertIsInstance(output_array, numpy.ndarray) | ||
self.assertEqual(output_array.dtype, numpy.dtype(int)) | ||
self.assertEqual(output_array.shape, (5,)) | ||
self.assertTrue((output_array == test_list).all()) | ||
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def test_setting_array_from_none(self): | ||
foo = Foo() | ||
test_array = numpy.arange(5) | ||
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self.assertIsNone(foo.maybe_array) | ||
foo.maybe_array = test_array | ||
self.assertIsInstance(foo.maybe_array, numpy.ndarray) | ||
foo.maybe_array = None | ||
self.assertIsNone(foo.maybe_array) | ||
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def test_dtype(self): | ||
foo = Foo() | ||
foo.maybe_float_array = [1, 2, 3] | ||
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array_value = foo.maybe_float_array | ||
self.assertIsInstance(array_value, numpy.ndarray) | ||
self.assertEqual(array_value.dtype, numpy.dtype(float)) | ||
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def test_shape(self): | ||
foo = Foo() | ||
with self.assertRaises(TraitError): | ||
foo.maybe_two_d_array = [1, 2, 3] | ||
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def test_change_notifications(self): | ||
foo = Foo() | ||
test_array = numpy.arange(-7, -2) | ||
different_test_array = numpy.arange(10) | ||
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# Assigning None to something that's already None shouldn't fire. | ||
with self.assertTraitDoesNotChange(foo, 'maybe_array'): | ||
foo.maybe_array = None | ||
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# Changing from None to an array: expect an event. | ||
with self.assertTraitChanges(foo, 'maybe_array'): | ||
foo.maybe_array = test_array | ||
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# No event from assigning the same array again. | ||
with self.assertTraitDoesNotChange(foo, 'maybe_array'): | ||
foo.maybe_array = test_array | ||
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# But assigning a new array fires an event. | ||
with self.assertTraitChanges(foo, 'maybe_array'): | ||
foo.maybe_array = different_test_array | ||
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# No event even if the array is modified in place. | ||
different_test_array += 2 | ||
with self.assertTraitDoesNotChange(foo, 'maybe_array'): | ||
foo.maybe_array = different_test_array | ||
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# Set back to None; we should get an event. | ||
with self.assertTraitChanges(foo, 'maybe_array'): | ||
foo.maybe_array = None | ||
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def test_comparison_mode_override(self): | ||
foo = Foo() | ||
test_array = numpy.arange(-7, 2) | ||
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with self.assertTraitChanges(foo, 'maybe_array_no_compare'): | ||
foo.maybe_array_no_compare = None | ||
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with self.assertTraitChanges(foo, 'maybe_array_no_compare'): | ||
foo.maybe_array_no_compare = test_array | ||
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with self.assertTraitChanges(foo, 'maybe_array_no_compare'): | ||
foo.maybe_array_no_compare = test_array | ||
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def test_default_value_copied(self): | ||
# Check that we don't share defaults. | ||
test_default = numpy.arange(100.0, 110.0) | ||
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class FooBar(HasTraits): | ||
foo = ArrayOrNone(value=test_default) | ||
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bar = ArrayOrNone(value=test_default) | ||
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foo_bar = FooBar() | ||
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self.assertTrue((foo_bar.foo == test_default).all()) | ||
self.assertTrue((foo_bar.bar == test_default).all()) | ||
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test_default += 2.0 | ||
self.assertFalse((foo_bar.foo == test_default).all()) | ||
self.assertFalse((foo_bar.bar == test_default).all()) | ||
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foo = foo_bar.foo | ||
foo += 1729.0 | ||
self.assertFalse((foo_bar.foo == foo_bar.bar).all()) |
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