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Add HighlightMagicsPreprocessor HighlightMagicsPreprocessor is in charge of detecting cells that use language extensions. It tags the cell metadata with the language used. Enable HighlightMagicsPreprocessor by default on latex and html exporters.

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test_formatters.py
90 lines | 2.2 KiB | text/x-python | PythonLexer
"""Tests for the Formatters.
"""
from math import pi
try:
import numpy
except:
numpy = None
import nose.tools as nt
from IPython.core.formatters import PlainTextFormatter
class A(object):
def __repr__(self):
return 'A()'
class B(A):
def __repr__(self):
return 'B()'
class BadPretty(object):
_repr_pretty_ = None
class GoodPretty(object):
def _repr_pretty_(self, pp, cycle):
pp.text('foo')
def __repr__(self):
return 'GoodPretty()'
def foo_printer(obj, pp, cycle):
pp.text('foo')
def test_pretty():
f = PlainTextFormatter()
f.for_type(A, foo_printer)
nt.assert_equal(f(A()), 'foo')
nt.assert_equal(f(B()), 'foo')
nt.assert_equal(f(GoodPretty()), 'foo')
# Just don't raise an exception for the following:
f(BadPretty())
f.pprint = False
nt.assert_equal(f(A()), 'A()')
nt.assert_equal(f(B()), 'B()')
nt.assert_equal(f(GoodPretty()), 'GoodPretty()')
def test_deferred():
f = PlainTextFormatter()
def test_precision():
"""test various values for float_precision."""
f = PlainTextFormatter()
nt.assert_equal(f(pi), repr(pi))
f.float_precision = 0
if numpy:
po = numpy.get_printoptions()
nt.assert_equal(po['precision'], 0)
nt.assert_equal(f(pi), '3')
f.float_precision = 2
if numpy:
po = numpy.get_printoptions()
nt.assert_equal(po['precision'], 2)
nt.assert_equal(f(pi), '3.14')
f.float_precision = '%g'
if numpy:
po = numpy.get_printoptions()
nt.assert_equal(po['precision'], 2)
nt.assert_equal(f(pi), '3.14159')
f.float_precision = '%e'
nt.assert_equal(f(pi), '3.141593e+00')
f.float_precision = ''
if numpy:
po = numpy.get_printoptions()
nt.assert_equal(po['precision'], 8)
nt.assert_equal(f(pi), repr(pi))
def test_bad_precision():
"""test various invalid values for float_precision."""
f = PlainTextFormatter()
def set_fp(p):
f.float_precision=p
nt.assert_raises(ValueError, set_fp, '%')
nt.assert_raises(ValueError, set_fp, '%.3f%i')
nt.assert_raises(ValueError, set_fp, 'foo')
nt.assert_raises(ValueError, set_fp, -1)