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-rw-r--r--silx/utils/test/test_number.py186
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diff --git a/silx/utils/test/test_number.py b/silx/utils/test/test_number.py
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--- a/silx/utils/test/test_number.py
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-# coding: utf-8
-# /*##########################################################################
-# Copyright (C) 2016-2018 European Synchrotron Radiation Facility
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in
-# all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-# THE SOFTWARE.
-#
-# ############################################################################*/
-"""Tests for silx.uitls.number module"""
-
-__authors__ = ["V. Valls"]
-__license__ = "MIT"
-__date__ = "05/06/2018"
-
-import logging
-import numpy
-import unittest
-import pkg_resources
-from silx.utils import number
-from silx.utils import testutils
-
-_logger = logging.getLogger(__name__)
-
-
-class TestConversionTypes(testutils.ParametricTestCase):
-
- def testEmptyFail(self):
- self.assertRaises(ValueError, number.min_numerical_convertible_type, "")
-
- def testStringFail(self):
- self.assertRaises(ValueError, number.min_numerical_convertible_type, "a")
-
- def testInteger(self):
- dtype = number.min_numerical_convertible_type("1456")
- self.assertTrue(numpy.issubdtype(dtype, numpy.unsignedinteger))
-
- def testTrailledInteger(self):
- dtype = number.min_numerical_convertible_type(" \t\n\r1456\t\n\r")
- self.assertTrue(numpy.issubdtype(dtype, numpy.unsignedinteger))
-
- def testPositiveInteger(self):
- dtype = number.min_numerical_convertible_type("+1456")
- self.assertTrue(numpy.issubdtype(dtype, numpy.unsignedinteger))
-
- def testNegativeInteger(self):
- dtype = number.min_numerical_convertible_type("-1456")
- self.assertTrue(numpy.issubdtype(dtype, numpy.signedinteger))
-
- def testIntegerExponential(self):
- dtype = number.min_numerical_convertible_type("14e10")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testIntegerPositiveExponential(self):
- dtype = number.min_numerical_convertible_type("14e+10")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testIntegerNegativeExponential(self):
- dtype = number.min_numerical_convertible_type("14e-10")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testNumberDecimal(self):
- dtype = number.min_numerical_convertible_type("14.5")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testPositiveNumberDecimal(self):
- dtype = number.min_numerical_convertible_type("+14.5")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testNegativeNumberDecimal(self):
- dtype = number.min_numerical_convertible_type("-14.5")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testDecimal(self):
- dtype = number.min_numerical_convertible_type(".50")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testPositiveDecimal(self):
- dtype = number.min_numerical_convertible_type("+.5")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testNegativeDecimal(self):
- dtype = number.min_numerical_convertible_type("-.5")
- self.assertTrue(numpy.issubdtype(dtype, numpy.floating))
-
- def testMantissa16(self):
- dtype = number.min_numerical_convertible_type("1.50")
- self.assertEqual(dtype, numpy.float16)
-
- def testFloat32(self):
- dtype = number.min_numerical_convertible_type("-23.172")
- self.assertEqual(dtype, numpy.float32)
-
- def testMantissa32(self):
- dtype = number.min_numerical_convertible_type("1400.50")
- self.assertEqual(dtype, numpy.float32)
-
- def testMantissa64(self):
- dtype = number.min_numerical_convertible_type("10000.000010")
- self.assertEqual(dtype, numpy.float64)
-
- def testMantissa80(self):
- self.skipIfFloat80NotSupported()
- dtype = number.min_numerical_convertible_type("1000000000.00001013")
-
- if pkg_resources.parse_version(numpy.version.version) <= pkg_resources.parse_version("1.10.4"):
- # numpy 1.8.2 -> Debian 8
- # Checking a float128 precision with numpy 1.8.2 using abs(diff) is not working.
- # It looks like the difference is done using float64 (diff == 0.0)
- expected = (numpy.longdouble, numpy.float64)
- else:
- expected = (numpy.longdouble, )
- self.assertIn(dtype, expected)
-
- def testExponent32(self):
- dtype = number.min_numerical_convertible_type("14.0e30")
- self.assertEqual(dtype, numpy.float32)
-
- def testExponent64(self):
- dtype = number.min_numerical_convertible_type("14.0e300")
- self.assertEqual(dtype, numpy.float64)
-
- def testExponent80(self):
- self.skipIfFloat80NotSupported()
- dtype = number.min_numerical_convertible_type("14.0e3000")
- self.assertEqual(dtype, numpy.longdouble)
-
- def testFloat32ToString(self):
- value = str(numpy.float32(numpy.pi))
- dtype = number.min_numerical_convertible_type(value)
- self.assertIn(dtype, (numpy.float32, numpy.float64))
-
- def skipIfFloat80NotSupported(self):
- if number.is_longdouble_64bits():
- self.skipTest("float-80bits not supported")
-
- def testLosePrecisionUsingFloat80(self):
- self.skipIfFloat80NotSupported()
- if pkg_resources.parse_version(numpy.version.version) <= pkg_resources.parse_version("1.10.4"):
- self.skipTest("numpy > 1.10.4 expected")
- # value does not fit even in a 128 bits mantissa
- value = "1.0340282366920938463463374607431768211456"
- func = testutils.test_logging(number._logger.name, warning=1)
- func = func(number.min_numerical_convertible_type)
- dtype = func(value)
- self.assertIn(dtype, (numpy.longdouble, ))
-
- def testMillisecondEpochTime(self):
- datetimes = ['1465803236.495412',
- '1465803236.999362',
- '1465803237.504311',
- '1465803238.009261',
- '1465803238.512211',
- '1465803239.016160',
- '1465803239.520110',
- '1465803240.026059',
- '1465803240.529009']
- for datetime in datetimes:
- with self.subTest(datetime=datetime):
- dtype = number.min_numerical_convertible_type(datetime)
- self.assertEqual(dtype, numpy.float64)
-
-
-def suite():
- loadTests = unittest.defaultTestLoader.loadTestsFromTestCase
- test_suite = unittest.TestSuite()
- test_suite.addTest(loadTests(TestConversionTypes))
- return test_suite
-
-
-if __name__ == '__main__':
- unittest.main(defaultTest="suite")
generated by cgit v1.2.3 (git 2.25.1) at 2024-04-23 10:10:07 +0000