##// END OF EJS Templates
don't automatically add jobarray or queue lines to user template...
don't automatically add jobarray or queue lines to user template In parallel launchers, the queue and jobarray lines should not be added except in the default templates. user-templates must be fully specified. This prevents conflicts between PBS versions, which may not support jobarrays, etc. These lines are now only added to the *default* templates.

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test_pylabtools.py
54 lines | 1.8 KiB | text/x-python | PythonLexer
"""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)