##// END OF EJS Templates
Try to elide long completion based on user input....
Try to elide long completion based on user input. If what the user has typed is already in the completion and the completion is really long, try to elide what the user has already typed from the displayed text of the completion. Keep the first 3 and last 3 of what is already present. This will behave weirdly if all the completion have a common prefix as I believe prompt toolkit will insert the common prefix (or do we?). I'll have to check how to consider the common prefix as being typed.

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test_debugger.py
253 lines | 6.6 KiB | text/x-python | PythonLexer
"""Tests for debugging machinery.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import signal
import sys
import time
import warnings
from tempfile import NamedTemporaryFile
from subprocess import check_output, CalledProcessError, PIPE
import subprocess
from unittest.mock import patch
import builtins
import bdb
import nose.tools as nt
from IPython.core import debugger
#-----------------------------------------------------------------------------
# Helper classes, from CPython's Pdb test suite
#-----------------------------------------------------------------------------
class _FakeInput(object):
"""
A fake input stream for pdb's interactive debugger. Whenever a
line is read, print it (to simulate the user typing it), and then
return it. The set of lines to return is specified in the
constructor; they should not have trailing newlines.
"""
def __init__(self, lines):
self.lines = iter(lines)
def readline(self):
line = next(self.lines)
print(line)
return line+'\n'
class PdbTestInput(object):
"""Context manager that makes testing Pdb in doctests easier."""
def __init__(self, input):
self.input = input
def __enter__(self):
self.real_stdin = sys.stdin
sys.stdin = _FakeInput(self.input)
def __exit__(self, *exc):
sys.stdin = self.real_stdin
#-----------------------------------------------------------------------------
# Tests
#-----------------------------------------------------------------------------
def test_longer_repr():
from reprlib import repr as trepr
a = '1234567890'* 7
ar = "'1234567890123456789012345678901234567890123456789012345678901234567890'"
a_trunc = "'123456789012...8901234567890'"
nt.assert_equal(trepr(a), a_trunc)
# The creation of our tracer modifies the repr module's repr function
# in-place, since that global is used directly by the stdlib's pdb module.
with warnings.catch_warnings():
warnings.simplefilter('ignore', DeprecationWarning)
debugger.Tracer()
nt.assert_equal(trepr(a), ar)
def test_ipdb_magics():
'''Test calling some IPython magics from ipdb.
First, set up some test functions and classes which we can inspect.
>>> class ExampleClass(object):
... """Docstring for ExampleClass."""
... def __init__(self):
... """Docstring for ExampleClass.__init__"""
... pass
... def __str__(self):
... return "ExampleClass()"
>>> def example_function(x, y, z="hello"):
... """Docstring for example_function."""
... pass
>>> old_trace = sys.gettrace()
Create a function which triggers ipdb.
>>> def trigger_ipdb():
... a = ExampleClass()
... debugger.Pdb().set_trace()
>>> with PdbTestInput([
... 'pdef example_function',
... 'pdoc ExampleClass',
... 'up',
... 'down',
... 'list',
... 'pinfo a',
... 'll',
... 'continue',
... ]):
... trigger_ipdb()
--Return--
None
> <doctest ...>(3)trigger_ipdb()
1 def trigger_ipdb():
2 a = ExampleClass()
----> 3 debugger.Pdb().set_trace()
<BLANKLINE>
ipdb> pdef example_function
example_function(x, y, z='hello')
ipdb> pdoc ExampleClass
Class docstring:
Docstring for ExampleClass.
Init docstring:
Docstring for ExampleClass.__init__
ipdb> up
> <doctest ...>(11)<module>()
7 'pinfo a',
8 'll',
9 'continue',
10 ]):
---> 11 trigger_ipdb()
<BLANKLINE>
ipdb> down
None
> <doctest ...>(3)trigger_ipdb()
1 def trigger_ipdb():
2 a = ExampleClass()
----> 3 debugger.Pdb().set_trace()
<BLANKLINE>
ipdb> list
1 def trigger_ipdb():
2 a = ExampleClass()
----> 3 debugger.Pdb().set_trace()
<BLANKLINE>
ipdb> pinfo a
Type: ExampleClass
String form: ExampleClass()
Namespace: Local...
Docstring: Docstring for ExampleClass.
Init docstring: Docstring for ExampleClass.__init__
ipdb> ll
1 def trigger_ipdb():
2 a = ExampleClass()
----> 3 debugger.Pdb().set_trace()
<BLANKLINE>
ipdb> continue
Restore previous trace function, e.g. for coverage.py
>>> sys.settrace(old_trace)
'''
def test_ipdb_magics2():
'''Test ipdb with a very short function.
>>> old_trace = sys.gettrace()
>>> def bar():
... pass
Run ipdb.
>>> with PdbTestInput([
... 'continue',
... ]):
... debugger.Pdb().runcall(bar)
> <doctest ...>(2)bar()
1 def bar():
----> 2 pass
<BLANKLINE>
ipdb> continue
Restore previous trace function, e.g. for coverage.py
>>> sys.settrace(old_trace)
'''
def can_quit():
'''Test that quit work in ipydb
>>> old_trace = sys.gettrace()
>>> def bar():
... pass
>>> with PdbTestInput([
... 'quit',
... ]):
... debugger.Pdb().runcall(bar)
> <doctest ...>(2)bar()
1 def bar():
----> 2 pass
<BLANKLINE>
ipdb> quit
Restore previous trace function, e.g. for coverage.py
>>> sys.settrace(old_trace)
'''
def can_exit():
'''Test that quit work in ipydb
>>> old_trace = sys.gettrace()
>>> def bar():
... pass
>>> with PdbTestInput([
... 'exit',
... ]):
... debugger.Pdb().runcall(bar)
> <doctest ...>(2)bar()
1 def bar():
----> 2 pass
<BLANKLINE>
ipdb> exit
Restore previous trace function, e.g. for coverage.py
>>> sys.settrace(old_trace)
'''
def test_interruptible_core_debugger():
"""The debugger can be interrupted.
The presumption is there is some mechanism that causes a KeyboardInterrupt
(this is implemented in ipykernel). We want to ensure the
KeyboardInterrupt cause debugging to cease.
"""
def raising_input(msg="", called=[0]):
called[0] += 1
if called[0] == 1:
raise KeyboardInterrupt()
else:
raise AssertionError("input() should only be called once!")
with patch.object(builtins, "input", raising_input):
debugger.InterruptiblePdb().set_trace()
# The way this test will fail is by set_trace() never exiting,
# resulting in a timeout by the test runner. The alternative
# implementation would involve a subprocess, but that adds issues with
# interrupting subprocesses that are rather complex, so it's simpler
# just to do it this way.