def __init__(self, description):
from pyLibrary.queries.windows import Stats
if ON and not hasattr(self, "description"):
self.description = description
self.samples = []
self.stats = Stats()()
profiles[description] = self
def __init__(self, description):
from pyLibrary.queries.windows import Stats
if ON and not hasattr(self, "description"):
self.description = description
self.samples = []
self.stats = Stats()()
profiles[description] = self
class Profiler(object):
"""
VERY SIMPLE PROFILER FOR USE IN with STATEMENTS
PRIMARILY TO BE USED IN PyPy, WHERE cProfile IMPACTS
OPTIMIZED RUN TIME TOO MUCH
"""
def __new__(cls, *args):
if ON:
output = profiles.get(args[0])
if output:
return output
output = object.__new__(cls, *args)
return output
def __init__(self, description):
from pyLibrary.queries.windows import Stats
if ON and not hasattr(self, "description"):
self.description = description
self.samples = []
self.stats = Stats()()
profiles[description] = self
def __enter__(self):
if ON:
self.start = clock()
return self
def __exit__(self, type, value, traceback):
if ON:
self.end = clock()
duration = self.end - self.start
from pyLibrary.queries.windows import Stats
self.stats.add(duration)
if self.samples is not None:
self.samples.append(duration)
if len(self.samples) > 100:
self.samples = None
class Profiler(object):
"""
VERY SIMPLE PROFILER FOR USE IN with STATEMENTS
PRIMARILY TO BE USED IN PyPy, WHERE cProfile IMPACTS
OPTIMIZED RUN TIME TOO MUCH
"""
def __new__(cls, *args):
if ON:
output = profiles.get(args[0])
if output:
return output
output = object.__new__(cls, *args)
return output
def __init__(self, description):
from pyLibrary.queries.windows import Stats
if ON and not hasattr(self, "description"):
self.description = description
self.samples = []
self.stats = Stats()()
profiles[description] = self
def __enter__(self):
if ON:
self.start = clock()
return self
def __exit__(self, type, value, traceback):
if ON:
self.end = clock()
duration = self.end - self.start
from pyLibrary.queries.windows import Stats
self.stats.add(duration)
if self.samples is not None:
self.samples.append(duration)
if len(self.samples) > 100:
self.samples = None