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support for unicode identifiers...
support for unicode identifiers This rewrites some of the regular expressions that are used to match Python identifiers, so that they are unicode compatible. In Python 3, identifiers can contain unicode characters as long as the first character is not numeric. Examples for the changes: • inputtransformer: ``` In [1]: π = 3.14 In [2]: π.is_integer? Object `is_integer` not found. ``` ---------- • namespace: ``` π.is_integ*? ``` or ``` In [1]: %psearch π.is_integ Python identifiers can only contain ascii characters. ``` ---------- • prefilter: ``` %autocall 1 φ = float get_ipython().prefilter("φ 3") # should be 'φ(3)', but returns 'φ 3' ``` ---------- • completerlib: If there is a file e.g. named `π.py` in the current directory, then ``` import IPython IPython.core.completerlib.module_list('.') # should contain module 'π' ```
Matthias Bussonnier - - Load All Authors

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test_inputtransformer2_line.py
116 lines | 2.4 KiB | text/x-python | PythonLexer
/ IPython / core / tests / test_inputtransformer2_line.py
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Thomas Kluyver
Fix cell magic transformation
 r24162 """Tests for the line-based transformers in IPython.core.inputtransformer2
Line-based transformers are the simpler ones; token-based transformers are
Thomas Kluyver
Add & improve docstrings following @willingc's review
 r24407 more complex. See test_inputtransformer2 for tests for token-based transformers.
Thomas Kluyver
Fix cell magic transformation
 r24162 """
import nose.tools as nt
from IPython.core import inputtransformer2 as ipt2
Thomas Kluyver
More tests for line-based input transformers
 r24163 CELL_MAGIC = ("""\
Thomas Kluyver
Fix cell magic transformation
 r24162 %%foo arg
body 1
body 2
""", """\
get_ipython().run_cell_magic('foo', 'arg', 'body 1\\nbody 2\\n')
""")
def test_cell_magic():
Thomas Kluyver
More tests for line-based input transformers
 r24163 for sample, expected in [CELL_MAGIC]:
Thomas Kluyver
Fix cell magic transformation
 r24162 nt.assert_equal(ipt2.cell_magic(sample.splitlines(keepends=True)),
expected.splitlines(keepends=True))
Thomas Kluyver
More tests for line-based input transformers
 r24163
CLASSIC_PROMPT = ("""\
>>> for a in range(5):
... print(a)
""", """\
for a in range(5):
print(a)
""")
CLASSIC_PROMPT_L2 = ("""\
for a in range(5):
... print(a)
... print(a ** 2)
""", """\
for a in range(5):
print(a)
print(a ** 2)
""")
def test_classic_prompt():
for sample, expected in [CLASSIC_PROMPT, CLASSIC_PROMPT_L2]:
nt.assert_equal(ipt2.classic_prompt(sample.splitlines(keepends=True)),
expected.splitlines(keepends=True))
IPYTHON_PROMPT = ("""\
In [1]: for a in range(5):
...: print(a)
""", """\
for a in range(5):
print(a)
""")
IPYTHON_PROMPT_L2 = ("""\
for a in range(5):
...: print(a)
...: print(a ** 2)
""", """\
for a in range(5):
print(a)
print(a ** 2)
""")
def test_ipython_prompt():
for sample, expected in [IPYTHON_PROMPT, IPYTHON_PROMPT_L2]:
nt.assert_equal(ipt2.ipython_prompt(sample.splitlines(keepends=True)),
expected.splitlines(keepends=True))
INDENT_SPACES = ("""\
if True:
a = 3
""", """\
if True:
a = 3
""")
INDENT_TABS = ("""\
\tif True:
\t\tb = 4
""", """\
if True:
\tb = 4
""")
def test_leading_indent():
for sample, expected in [INDENT_SPACES, INDENT_TABS]:
nt.assert_equal(ipt2.leading_indent(sample.splitlines(keepends=True)),
expected.splitlines(keepends=True))
Robin Gustafsson
Remove leading empty lines...
 r25026
LEADING_EMPTY_LINES = ("""\
\t
if True:
a = 3
b = 4
""", """\
if True:
a = 3
b = 4
""")
ONLY_EMPTY_LINES = ("""\
\t
""", """\
\t
""")
Matthias Bussonnier
prefix test_function with test_
 r25042 def test_leading_empty_lines():
Robin Gustafsson
Remove leading empty lines...
 r25026 for sample, expected in [LEADING_EMPTY_LINES, ONLY_EMPTY_LINES]:
nt.assert_equal(
ipt2.leading_empty_lines(sample.splitlines(keepends=True)),
expected.splitlines(keepends=True))