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74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
"""
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Speed tests of Jedi. To prove that certain things don't take longer than they
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should.
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"""
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import time
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import functools
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from .helpers import get_example_dir
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import jedi
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def _check_speed(time_per_run, number=4, run_warm=True):
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""" Speed checks should typically be very tolerant. Some machines are
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faster than others, but the tests should still pass. These tests are
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here to assure that certain effects that kill jedi performance are not
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reintroduced to Jedi."""
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def decorated(func):
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@functools.wraps(func)
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def wrapper(Script, **kwargs):
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if run_warm:
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func(Script=Script, **kwargs)
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first = time.time()
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for i in range(number):
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func(Script=Script, **kwargs)
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single_time = (time.time() - first) / number
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message = 'speed issue %s, %s' % (func, single_time)
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assert single_time < time_per_run, message
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return wrapper
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return decorated
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@_check_speed(0.5)
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def test_os_path_join(Script):
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s = "from posixpath import join; join('', '')."
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assert len(Script(s).complete()) > 10 # is a str completion
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@_check_speed(0.15)
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def test_scipy_speed(Script):
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s = 'import scipy.weave; scipy.weave.inline('
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script = Script(s, path='')
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script.get_signatures(1, len(s))
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@_check_speed(0.8)
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def test_precedence_slowdown(Script):
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"""
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Precedence calculation can slow down things significantly in edge
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cases. Having strange recursion structures increases the problem.
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"""
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path = get_example_dir('speed', 'precedence.py')
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with open(path) as f:
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line = len(f.read().splitlines())
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assert Script(path=path).infer(line=line)
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@_check_speed(0.1)
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def test_no_repr_computation(Script):
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"""
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For Interpreter completion aquisition of sourcefile can trigger
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unwanted computation of repr(). Exemple : big pandas data.
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See issue #919.
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"""
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class SlowRepr:
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"class to test what happens if __repr__ is very slow."
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def some_method(self):
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pass
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def __repr__(self):
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time.sleep(0.2)
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test = SlowRepr()
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jedi.Interpreter('test.som', [locals()]).complete()
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