content: """ This is the Bokeh charts testing interface.
  
  """
  #-----------------------------------------------------------------------------
  # Copyright (c) 2012 - 2014, Continuum Analytics, Inc. All rights reserved.
  #
  # Powered by the Bokeh Development Team.
  #
  # The full license is in the file LICENSE.txt, distributed with this software.
  #-----------------------------------------------------------------------------
  
  #-----------------------------------------------------------------------------
  # Imports
  #-----------------------------------------------------------------------------
  from __future__ import absolute_import
  
  from collections import OrderedDict
  import unittest
  
  import numpy as np
  from numpy.testing import assert_array_equal
  import pandas as pd
  
  from bokeh.charts import Dot
  from bokeh.util.testing import create_chart
  
  
  #-----------------------------------------------------------------------------
  # Classes and functions
  #-----------------------------------------------------------------------------
  
  class TestDot(unittest.TestCase):
      def test_supported_input(self):
          xyvalues = OrderedDict()
          xyvalues['python']=[2, 5]
          xyvalues['pypy']=[12, 40]
          xyvalues['jython']=[22, 30]
  
          xyvaluesdf = pd.DataFrame(xyvalues, index=['lists', 'loops'])
  
          cat = ['lists', 'loops']
          catjython = ['lists:0.75', 'loops:0.75']
          catpypy = ['lists:0.5', 'loops:0.5']
          catpython = ['lists:0.25', 'loops:0.25']
          python = seg_top_python = [2, 5]
          pypy = seg_top_pypy = [12, 40]
          jython = seg_top_jython = [22, 30]
          zero = [0, 0]
  
          for i, _xy in enumerate([xyvalues, xyvaluesdf]):
              hm = create_chart(Dot, _xy, cat=cat)
              builder = hm._builders[0]
              self.assertEqual(sorted(builder._groups), sorted(list(xyvalues.keys())))
              assert_array_equal(builder._data['cat'], cat)
              assert_array_equal(builder._data['catjython'], catjython)
              assert_array_equal(builder._data['catpython'], catpython)
              assert_array_equal(builder._data['catpypy'], catpypy)
  
              assert_array_equal(builder._data['python'], python)
              assert_array_equal(builder._data['jython'], jython)
              assert_array_equal(builder._data['pypy'], pypy)
  
              assert_array_equal(builder._data['seg_top_python'], seg_top_python)
              assert_array_equal(builder._data['seg_top_jython'], seg_top_jython)
              assert_array_equal(builder._data['seg_top_pypy'], seg_top_pypy)
  
              assert_array_equal(builder._data['z_python'], zero)
              assert_array_equal(builder._data['z_pypy'], zero)
              assert_array_equal(builder._data['z_jython'], zero)
              assert_array_equal(builder._data['zero'], zero)
  
  
          lvalues = [[2, 5], [12, 40], [22, 30]]
          for _xy in [lvalues, np.array(lvalues)]:
              hm = create_chart(Dot, _xy, cat=cat)
              builder = hm._builders[0]
  
              self.assertEqual(builder._groups, ['0', '1', '2'])
              assert_array_equal(builder._data['cat'], cat)
              assert_array_equal(builder._data['cat0'], catpython)
              assert_array_equal(builder._data['cat1'], catpypy)
              assert_array_equal(builder._data['cat2'], catjython)
              assert_array_equal(builder._data['0'], python)
              assert_array_equal(builder._data['1'], pypy)
              assert_array_equal(builder._data['2'], jython)
  
              assert_array_equal(builder._data['seg_top_0'], seg_top_python)
              assert_array_equal(builder._data['seg_top_1'], seg_top_pypy)
              assert_array_equal(builder._data['seg_top_2'], seg_top_jython)
  
              assert_array_equal(builder._data['z_0'], zero)
              assert_array_equal(builder._data['z_1'], zero)
              assert_array_equal(builder._data['z_2'], zero)
              assert_array_equal(builder._data['zero'], zero)
  