1 files changed, 181 insertions, 0 deletions
diff --git a/silx/utils/test/test_number.py b/silx/utils/test/test_number.py
new file mode 100644
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+++ b/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 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 = "1000000000.00001013332"
+        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")