upstream/ipython Files · IPython/lib/tests/test_pylabtools.py

tab management new/existing kernel....

tab management new/existing kernel. working 2 kinds of tab with Ctrl+Shift+T -> tab attached on same kernel with Ctrl+T -> tab attached on new kernel closing event management is way far from the one of the mainWindow and "first tab" is still handeled differently as the other ones as some action are still attaches to it directly

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             test_pylabtools.py
        
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      """Tests for pylab tools module.

      """

      #-----------------------------------------------------------------------------

      # Copyright (c) 2011, 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 __future__ import print_function

      # Stdlib imports

      # Third-party imports

      import matplotlib; matplotlib.use('Agg')

      import nose.tools as nt

      from matplotlib import pyplot as plt

      # Our own imports

      from IPython.testing import decorators as dec

      from .. import pylabtools as pt

      #-----------------------------------------------------------------------------

      # Globals and constants

      #-----------------------------------------------------------------------------

      #-----------------------------------------------------------------------------

      # Local utilities

      #-----------------------------------------------------------------------------

      #-----------------------------------------------------------------------------

      # Classes and functions

      #-----------------------------------------------------------------------------

      @dec.parametric

      def test_figure_to_svg():

          # simple empty-figure test

          fig = plt.figure()

          yield nt.assert_equal(pt.print_figure(fig, 'svg'), None)

          plt.close('all')

          # simple check for at least svg-looking output

          fig = plt.figure()

          ax = fig.add_subplot(1,1,1)

          ax.plot([1,2,3])

          plt.draw()

          svg = pt.print_figure(fig, 'svg')[:100].lower()

          yield nt.assert_true('doctype svg' in svg)

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				"""Tests for pylab tools module.
				"""
				#-----------------------------------------------------------------------------
				# Copyright (c) 2011, 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 __future__ import print_function

				# Stdlib imports

				# Third-party imports
				import matplotlib; matplotlib.use('Agg')
				import nose.tools as nt

				from matplotlib import pyplot as plt

				# Our own imports
				from IPython.testing import decorators as dec
				from .. import pylabtools as pt

				#-----------------------------------------------------------------------------
				# Globals and constants
				#-----------------------------------------------------------------------------

				#-----------------------------------------------------------------------------
				# Local utilities
				#-----------------------------------------------------------------------------

				#-----------------------------------------------------------------------------
				# Classes and functions
				#-----------------------------------------------------------------------------

				@dec.parametric
				def test_figure_to_svg():
				# simple empty-figure test
				fig = plt.figure()
				yield nt.assert_equal(pt.print_figure(fig, 'svg'), None)

				plt.close('all')

				# simple check for at least svg-looking output
				fig = plt.figure()
				ax = fig.add_subplot(1,1,1)
				ax.plot([1,2,3])
				plt.draw()
				svg = pt.print_figure(fig, 'svg')[:100].lower()
				yield nt.assert_true('doctype svg' in svg)