1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
|
# (C) Copyright 2005-2023 Enthought, Inc., Austin, TX
# 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 Float trait type.
"""
import unittest
from traits.api import BaseFloat, Either, Float, HasTraits, Str, TraitError
from traits.testing.optional_dependencies import numpy, requires_numpy
class IntegerLike:
def __init__(self, value):
self._value = value
def __index__(self):
return self._value
# Python versions < 3.8 don't support conversion of something with __index__
# to float.
try:
float(IntegerLike(3))
except TypeError:
float_accepts_index = False
else:
float_accepts_index = True
class MyFloat(object):
def __init__(self, value):
self._value = value
def __float__(self):
return self._value
class InheritsFromFloat(float):
pass
class BadFloat(object):
def __float__(self):
raise ZeroDivisionError
class FloatModel(HasTraits):
value = Float
# Assignment to the `Either` trait exercises a different C code path (see
# validate_trait_complex in ctraits.c).
value_or_none = Either(None, Float)
float_or_text = Either(Float, Str)
class BaseFloatModel(HasTraits):
value = BaseFloat
value_or_none = Either(None, BaseFloat)
float_or_text = Either(Float, Str)
class CommonFloatTests(object):
""" Common tests for Float and BaseFloat """
def test_default(self):
a = self.test_class()
self.assertEqual(a.value, 0.0)
def test_accepts_float(self):
a = self.test_class()
a.value = 5.6
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 5.6)
a.value_or_none = 5.6
self.assertIs(type(a.value_or_none), float)
self.assertEqual(a.value_or_none, 5.6)
def test_accepts_float_subclass(self):
a = self.test_class()
a.value = InheritsFromFloat(37.0)
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 37.0)
a.value_or_none = InheritsFromFloat(37.0)
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 37.0)
def test_accepts_int(self):
a = self.test_class()
a.value = 2
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 2.0)
a.value_or_none = 2
self.assertIs(type(a.value_or_none), float)
self.assertEqual(a.value_or_none, 2.0)
@unittest.skipUnless(
float_accepts_index,
"float does not support __index__ for this Python version",
)
def test_accepts_integer_like(self):
a = self.test_class()
a.value = IntegerLike(3)
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 3.0)
def test_accepts_float_like(self):
a = self.test_class()
a.value = MyFloat(1729.0)
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 1729.0)
a.value = MyFloat(594.0)
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 594.0)
def test_rejects_string(self):
a = self.test_class()
with self.assertRaises(TraitError):
a.value = "2.3"
with self.assertRaises(TraitError):
a.value_or_none = "2.3"
def test_bad_float_exceptions_propagated(self):
a = self.test_class()
with self.assertRaises(ZeroDivisionError):
a.value = BadFloat()
def test_compound_trait_float_conversion_fail(self):
# Check that a failure to convert to float doesn't terminate
# an assignment to a compound trait.
a = self.test_class()
a.float_or_text = "not a float"
self.assertEqual(a.float_or_text, "not a float")
def test_accepts_small_integer(self):
a = self.test_class()
a.value = 2
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 2.0)
a.value_or_none = 2
self.assertIs(type(a.value_or_none), float)
self.assertEqual(a.value_or_none, 2.0)
def test_accepts_large_integer(self):
a = self.test_class()
a.value = 2 ** 64
self.assertIs(type(a.value), float)
self.assertEqual(a.value, 2 ** 64)
a.value_or_none = 2 ** 64
self.assertIs(type(a.value_or_none), float)
self.assertEqual(a.value_or_none, 2 ** 64)
@requires_numpy
def test_accepts_numpy_floats(self):
test_values = [
numpy.float64(2.3),
numpy.float32(3.7),
numpy.float16(1.28),
]
a = self.test_class()
for test_value in test_values:
a.value = test_value
self.assertIs(type(a.value), float)
self.assertEqual(a.value, test_value)
a.value_or_none = test_value
self.assertIs(type(a.value_or_none), float)
self.assertEqual(a.value_or_none, test_value)
class TestFloat(unittest.TestCase, CommonFloatTests):
def setUp(self):
self.test_class = FloatModel
def test_exceptions_propagate_in_compound_trait(self):
# This test doesn't currently pass for BaseFloat, which is why it's not
# in the common tests. That's probably a bug.
a = self.test_class()
with self.assertRaises(ZeroDivisionError):
a.value_or_none = BadFloat()
class TestBaseFloat(unittest.TestCase, CommonFloatTests):
def setUp(self):
self.test_class = BaseFloatModel
|
