##// END OF EJS Templates
Allow decorator frames to be marked as skippable....
Allow decorator frames to be marked as skippable. When done so, by default pdb will step over those frames and directly into the decorated functions. >>> def helper_1(): ... print("don't step in me") ... ... ... def helper_2(): ... print("in me neither") ... One can define a decorator that wrap a function between the two helpers: >>> def pdb_skipped_decorator(function): ... ... ... def wrapped_fn(*args, **kwargs): ... __debuggerskip__ = True ... helper_1() ... __debuggerskip__ = False ... result = function(*args, **kwargs) ... __debuggerskip__ = True ... helper_2() ... return result ... ... return wrapped_fn When decorating a function, ipdb will directly step into ``bar()`` by default: >>> @foo_decorator ... def bar(x, y): ... return x * y You can toggle the behavior with ipdb> skip_predicates debuggerskip False or configure it in your ``.pdbrc``

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timing.py
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# encoding: utf-8
"""
Utilities for timing code execution.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import time
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
# If possible (Unix), use the resource module instead of time.clock()
try:
import resource
except ImportError:
resource = None
# Some implementations (like jyputerlite) don't have getrusage
if resource is not None and hasattr(resource, "getrusage"):
def clocku():
"""clocku() -> floating point number
Return the *USER* CPU time in seconds since the start of the process.
This is done via a call to resource.getrusage, so it avoids the
wraparound problems in time.clock()."""
return resource.getrusage(resource.RUSAGE_SELF)[0]
def clocks():
"""clocks() -> floating point number
Return the *SYSTEM* CPU time in seconds since the start of the process.
This is done via a call to resource.getrusage, so it avoids the
wraparound problems in time.clock()."""
return resource.getrusage(resource.RUSAGE_SELF)[1]
def clock():
"""clock() -> floating point number
Return the *TOTAL USER+SYSTEM* CPU time in seconds since the start of
the process. This is done via a call to resource.getrusage, so it
avoids the wraparound problems in time.clock()."""
u,s = resource.getrusage(resource.RUSAGE_SELF)[:2]
return u+s
def clock2():
"""clock2() -> (t_user,t_system)
Similar to clock(), but return a tuple of user/system times."""
return resource.getrusage(resource.RUSAGE_SELF)[:2]
else:
# There is no distinction of user/system time under windows, so we just use
# time.perff_counter() for everything...
clocku = clocks = clock = time.perf_counter
def clock2():
"""Under windows, system CPU time can't be measured.
This just returns perf_counter() and zero."""
return time.perf_counter(),0.0
def timings_out(reps,func,*args,**kw):
"""timings_out(reps,func,*args,**kw) -> (t_total,t_per_call,output)
Execute a function reps times, return a tuple with the elapsed total
CPU time in seconds, the time per call and the function's output.
Under Unix, the return value is the sum of user+system time consumed by
the process, computed via the resource module. This prevents problems
related to the wraparound effect which the time.clock() function has.
Under Windows the return value is in wall clock seconds. See the
documentation for the time module for more details."""
reps = int(reps)
assert reps >=1, 'reps must be >= 1'
if reps==1:
start = clock()
out = func(*args,**kw)
tot_time = clock()-start
else:
rng = range(reps-1) # the last time is executed separately to store output
start = clock()
for dummy in rng: func(*args,**kw)
out = func(*args,**kw) # one last time
tot_time = clock()-start
av_time = tot_time / reps
return tot_time,av_time,out
def timings(reps,func,*args,**kw):
"""timings(reps,func,*args,**kw) -> (t_total,t_per_call)
Execute a function reps times, return a tuple with the elapsed total CPU
time in seconds and the time per call. These are just the first two values
in timings_out()."""
return timings_out(reps,func,*args,**kw)[0:2]
def timing(func,*args,**kw):
"""timing(func,*args,**kw) -> t_total
Execute a function once, return the elapsed total CPU time in
seconds. This is just the first value in timings_out()."""
return timings_out(1,func,*args,**kw)[0]