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Support both value tuple and upper, lower traits for both int and float widgets
Support both value tuple and upper, lower traits for both int and float widgets

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r15383:6753f61a
r17682:eed350de
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test_datatypefilter.py
46 lines | 1.5 KiB | text/x-python | PythonLexer
Jonathan Frederic
Added some filter tests
r11481 """
Module with tests for DataTypeFilter
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, the IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from ...tests.base import TestsBase
from ..datatypefilter import DataTypeFilter
#-----------------------------------------------------------------------------
# Class
#-----------------------------------------------------------------------------
Jonathan Frederic
s/Test_/Test
r11494 class TestDataTypeFilter(TestsBase):
Jonathan Frederic
Added some filter tests
r11481 """Contains test functions for datatypefilter.py"""
def test_constructor(self):
"""Can an instance of a DataTypeFilter be created?"""
DataTypeFilter()
def test_junk_types(self):
"""Can the DataTypeFilter pickout a useful type from a list of junk types?"""
filter = DataTypeFilter()
Jonathan Frederic
Don't check explicit output, instead see if output contains what we want
r11915 assert "png" in filter(["hair", "water", "png", "rock"])
MinRK
remove inappropriate 'pdf' key...
r15383 assert "application/pdf" in filter(["application/pdf", "hair", "water", "png", "rock"])
Jonathan Frederic
Use IPython parameterized testing
r11936 self.assertEqual(filter(["hair", "water", "rock"]), [])
Jonathan Frederic
Added some filter tests
r11481
def test_null(self):
"""Will the DataTypeFilter fail if no types are passed in?"""
filter = DataTypeFilter()
Jonathan Frederic
Use IPython parameterized testing
r11936 self.assertEqual(filter([]), [])