def testNumericalColors(self):
     """Make sure the old API using colors=int was supported"""
     clm_dict = {
         'name': 'temperature',
         'vmin': 1.0,
         'vmax': 2.0,
         'colors': 256,
         'autoscale': False
     }
     Colormap._fromDict(clm_dict)
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 def testNumericalColors(self):
     """Make sure the old API using colors=int was supported"""
     clm_dict = {
         'name': 'temperature',
         'vmin': 1.0,
         'vmax': 2.0,
         'colors': 256,
         'autoscale': False
     }
     Colormap._fromDict(clm_dict)
    def testMissingKeysFromDict(self):
        """Make sure we can create a Colormap object from a dictionary even if
        there is missing keys except if those keys are 'colors' or 'name'
        """
        colormap = Colormap._fromDict({'name': 'blue'})
        self.assertTrue(colormap.getVMin() is None)
        colormap = Colormap._fromDict({'colors': numpy.zeros((5, 3))})
        self.assertTrue(colormap.getName() is None)

        with self.assertRaises(ValueError):
            Colormap._fromDict({})
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    def testMissingKeysFromDict(self):
        """Make sure we can create a Colormap object from a dictionnary even if
        there is missing keys excepts if those keys are 'colors' or 'name'
        """
        colormap = Colormap._fromDict({'name': 'toto'})
        self.assertTrue(colormap.getVMin() is None)
        colormap = Colormap._fromDict({'colors': numpy.zeros(10)})
        self.assertTrue(colormap.getName() is None)

        with self.assertRaises(ValueError):
            Colormap._fromDict({})
 def testUnknowNorm(self):
     """Make sure an error is raised if the given normalization is not
     knowed
     """
     clm_dict = {
         'name': 'temperature',
         'vmin': 1.0,
         'vmax': 2.0,
         'normalization': 'toto',
         'colors': None,
         'autoscale': False
     }
     with self.assertRaises(ValueError):
         Colormap._fromDict(clm_dict)
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 def testUnknowNorm(self):
     """Make sure an error is raised if the given normalization is not
     knowed
     """
     clm_dict = {
         'name': 'temperature',
         'vmin': 1.0,
         'vmax': 2.0,
         'normalization': 'toto',
         'colors': None,
         'autoscale': False
     }
     with self.assertRaises(ValueError):
         Colormap._fromDict(clm_dict)
    def testSetValidDict(self):
        """Test that if a colormap is created from a dict then it is correctly
        created and the values are copied (so if some values from the dict
        is changing, this won't affect the Colormap object"""
        clm_dict = {
            'name': 'temperature',
            'vmin': 1.0,
            'vmax': 2.0,
            'normalization': 'linear',
            'colors': None,
            'autoscale': False
        }

        # Test that the colormap is correctly created
        colormapObject = Colormap._fromDict(clm_dict)
        self.assertTrue(colormapObject.getName() == clm_dict['name'])
        self.assertTrue(colormapObject.getColormapLUT() == clm_dict['colors'])
        self.assertTrue(colormapObject.getVMin() == clm_dict['vmin'])
        self.assertTrue(colormapObject.getVMax() == clm_dict['vmax'])
        self.assertTrue(colormapObject.isAutoscale() == clm_dict['autoscale'])

        # Check that the colormap has copied the values
        clm_dict['vmin'] = None
        clm_dict['vmax'] = None
        clm_dict['colors'] = [1.0, 2.0]
        clm_dict['autoscale'] = True
        clm_dict['normalization'] = Colormap.LOGARITHM
        clm_dict['name'] = 'viridis'

        self.assertFalse(colormapObject.getName() == clm_dict['name'])
        self.assertFalse(colormapObject.getColormapLUT() == clm_dict['colors'])
        self.assertFalse(colormapObject.getVMin() == clm_dict['vmin'])
        self.assertFalse(colormapObject.getVMax() == clm_dict['vmax'])
        self.assertFalse(colormapObject.isAutoscale() == clm_dict['autoscale'])
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    def testSetValidDict(self):
        """Test that if a colormap is created from a dict then it is correctly
        created and the values are copied (so if some values from the dict
        is changing, this won't affect the Colormap object"""
        clm_dict = {
            'name': 'temperature',
            'vmin': 1.0,
            'vmax': 2.0,
            'normalization': 'linear',
            'colors': None,
            'autoscale': False
        }

        # Test that the colormap is correctly created
        colormapObject = Colormap._fromDict(clm_dict)
        self.assertTrue(colormapObject.getName() == clm_dict['name'])
        self.assertTrue(colormapObject.getColormapLUT() == clm_dict['colors'])
        self.assertTrue(colormapObject.getVMin() == clm_dict['vmin'])
        self.assertTrue(colormapObject.getVMax() == clm_dict['vmax'])
        self.assertTrue(colormapObject.isAutoscale() == clm_dict['autoscale'])

        # Check that the colormap has copied the values
        clm_dict['vmin'] = None
        clm_dict['vmax'] = None
        clm_dict['colors'] = [1.0, 2.0]
        clm_dict['autoscale'] = True
        clm_dict['normalization'] = Colormap.LOGARITHM
        clm_dict['name'] = 'viridis'

        self.assertFalse(colormapObject.getName() == clm_dict['name'])
        self.assertFalse(colormapObject.getColormapLUT() == clm_dict['colors'])
        self.assertFalse(colormapObject.getVMin() == clm_dict['vmin'])
        self.assertFalse(colormapObject.getVMax() == clm_dict['vmax'])
        self.assertFalse(colormapObject.isAutoscale() == clm_dict['autoscale'])