本文整理汇总了Python中cProfile.runctx方法的典型用法代码示例。如果您正苦于以下问题:Python cProfile.runctx方法的具体用法?Python cProfile.runctx怎么用?Python cProfile.runctx使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cProfile
的用法示例。
在下文中一共展示了cProfile.runctx方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: run_prof
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def run_prof(cls, num, total_worker_count, worker_num, response_queue, new_job_queue, cookie_lock, nosig=True):
logSetup.resetLoggingLocks()
common.process.name_process("raw fetcher processing worker w-profiling")
pid = os.getpid()
try:
cProfile.runctx('cls.run(num, response_queue, new_job_queue, cookie_lock, nosig)', globals(), locals(), 'prof%d.prof' % pid)
except Exception as e:
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
traceback.print_exc()
raise e
示例2: run_prof
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def run_prof(cls, num, total_worker_count, worker_num, response_queue, new_job_queue, cookie_lock, nosig=True):
logSetup.resetLoggingLocks()
common.process.name_process("proc fetcher processing worker w-profiling")
pid = os.getpid()
try:
cProfile.runctx('cls.run(num, response_queue, new_job_queue, cookie_lock, nosig)', globals(), locals(), 'prof%d.prof' % pid)
except Exception as e:
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
print("Wat?")
traceback.print_exc()
raise e
示例3: profile
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def profile(model_specification, results_directory, process):
"""Run a simulation based on the provided MODEL_SPECIFICATION and profile
the run.
"""
model_specification = Path(model_specification)
results_directory = Path(results_directory)
out_stats_file = results_directory / f'{model_specification.name}'.replace('yaml', 'stats')
command = f'run_simulation("{model_specification}")'
cProfile.runctx(command, globals=globals(), locals=locals(), filename=out_stats_file)
if process:
out_txt_file = results_directory / (out_stats_file.name + '.txt')
with out_txt_file.open('w') as f:
p = pstats.Stats(str(out_stats_file), stream=f)
p.sort_stats('cumulative')
p.print_stats()
示例4: _run
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def _run(self):
"""Private helper that wraps .run() and sets various exit flags."""
try:
if do_profiling.value:
import cProfile
import tempfile
(fd, filename) = tempfile.mkstemp(suffix=".prof")
print("Profile info: {}".format(filename))
cProfile.runctx("self.run()", globals(), locals(), filename=filename)
else:
self.run()
self._flags[2] = True
except Exception as e:
import traceback
traceback.print_exc()
self._flags[1] = True
示例5: runctx
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def runctx(cmdstr, globals={}, locals={}, outpath=None, executable=None):
tmp = tempfile.mktemp()
target = tmp
# profile to a file
if outpath is not None:
target = fileutil.FilePath(outpath).ensureExt('callgrind')
# ensure out folder exists
target.parent().ensureExists()
# profile into out file
cProfile.runctx(cmdstr, globals, locals, filename=tmp)
pyprof2calltree.convert(pstats.Stats(tmp), target)
# open
if executable is not None:
subprocess.Popen([executable, target])
# clean up & return result
if tmp != target:
os.unlink(tmp)
return target
示例6: train_with_profiling
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def train_with_profiling(opts, dirs):
import cProfile, pstats, StringIO
cProfile.runctx('train(opts, dirs)', \
{'train': train, 'opts': opts, 'dirs': dirs},
{}, 'mainstats')
# create a stream for the profiler to write to
profiling_output = StringIO.StringIO()
p = pstats.Stats('mainstats', stream=profiling_output)
# print stats to that stream
# here we just report the top 30 functions, sorted by total amount of time spent in each
p.strip_dirs().sort_stats('cumulative').print_stats(30)
# print the result to the log
print('---Profiling result follows---\n%s' % profiling_output.getvalue() )
profiling_output.close()
print('---End of profiling result---')
示例7: set_layer_entity
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def set_layer_entity(self):
"""
Sets the entity property using the layer table.
"""
self.layer_table = self.get_layer_source(
self.iface.activeLayer()
)
if self.layer_table == '':
return
if self.layer_table in spatial_tables() and \
self.layer_table not in pg_views():
self.entity = self.current_profile.entity_by_name(self.layer_table)
#
# def activate_feature_details(self, button_clicked=True):
# if cProfile is None:
# return
# cProfile.runctx('self._activate_feature_details(button_clicked)', globals(), locals())
示例8: render
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def render(artifact, md, opts):
start = begin = time.time()
print("%4s %20s %10s %s" % ('', 'Conversion Time (s)', 'Text Size', 'Post._id'))
for i, p in enumerate(artifact.discussion_thread.posts):
text = DUMMYTEXT or p.text
if opts.n and i + 1 not in opts.n:
print('Skipping post %s' % str(i + 1))
continue
if opts.profile:
print('Profiling post %s' % str(i + 1))
cProfile.runctx('output = md.convert(text)', globals(), locals())
else:
output = md.convert(text)
elapsed = time.time() - start
print("%4s %1.18f %10s %s" % (i + 1, elapsed, len(text), p._id))
if opts.output:
print('Input:', text[:min(300, len(text))])
print('Output:', output[:min(MAX_OUTPUT, len(output))])
start = time.time()
print("Total time:", start - begin)
return output
示例9: balfreq_profiling
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def balfreq_profiling(self):
"""
Generate profiling report for balfreq function and saves it into ``self.prof_out.``
The function also returns a ``pstats.Stats`` object.
To read the report:
.. code-block:: python
import pstats
p=pstats.Stats(self.prof_out).sort_stats('cumtime')
p.print_stats(20)
"""
import pstats
import cProfile
def wrap():
DictBalFreq = {'frequency': 0.5, 'check_stability': False}
self.balfreq(DictBalFreq)
cProfile.runctx('wrap()', globals(), locals(), filename=self.prof_out)
cProfile.runctx('wrap()', globals(), locals(), filename=self.prof_out)
return pstats.Stats(self.prof_out).sort_stats('cumtime')
示例10: profile
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def profile(num_elements=100000, parser="lxml"):
filehandle = tempfile.NamedTemporaryFile()
filename = filehandle.name
data = rdoc(num_elements)
vars = dict(bs4=bs4, data=data, parser=parser)
cProfile.runctx('bs4.BeautifulSoup(data, parser)' , vars, vars, filename)
stats = pstats.Stats(filename)
# stats.strip_dirs()
stats.sort_stats("cumulative")
stats.print_stats('_html5lib|bs4', 50)
示例11: train_loop_with_profile
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def train_loop_with_profile(process_idx, counter, make_env, max_score, args,
agent, env, start_time, outdir):
import cProfile
cmd = 'train_loop(process_idx, counter, make_env, max_score, args, ' \
'agent, env, start_time)'
cProfile.runctx(cmd, globals(), locals(),
'profile-{}.out'.format(os.getpid()))
示例12: train_loop_with_profile
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def train_loop_with_profile(process_idx, counter, max_score, args, agent, env,
start_time):
import cProfile
cmd = 'train_loop(process_idx, counter, max_score, args, agent, env, ' \
'start_time)'
cProfile.runctx(cmd, globals(), locals(),
'profile-{}.out'.format(os.getpid()))
示例13: perform_profiling
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def perform_profiling(mod_name, repeat=1, seed=0, filename=fn_template, **kwargs):
"""Run profiling of the `benchmark` function in the given module.
Parameters
----------
mod_name : str
The name of a module containing the benchmark.
Must define the functions ``data = setup_benchmark(size, **kwargs)``,
which is followed by multiple ``benchmark(data)``, which should be benchmarked.
repeat : int
Repeat the `benchmark` function to be profiled that many times.
seed : int
Seed of the random number generator with this number to enhance reproducability
filename : str
Template for the filename.
**kwargs :
Further arguments given to the `setup_benchmark` function.
Note: is formated to a string with ``repr(kwargs)``. Don't use too complicated arguements!
"""
kwargs['mod_name'] = mod_name
filename = filename.format(mod_q_str='_'.join([str(q) for q in kwargs['mod_q']]), **kwargs)
np.random.seed(seed)
setup_code = "import {mod_name!s}\ndata = {mod_name!s}.setup_benchmark(**{kwargs!r})"
setup_code = setup_code.format(mod_name=mod_name, kwargs=kwargs)
namespace = {}
exec(setup_code, namespace, namespace)
timing_code = "{mod_name}.benchmark(data)".format(mod_name=mod_name)
if repeat > 1:
timing_code = "for _ in range({repeat:d}): ".format(repeat=repeat) + timing_code
if sys.version_info > (3, 3):
prof = cProfile.Profile(time.perf_counter)
else:
prof = cProfile.Profile()
prof.runctx(timing_code, namespace, namespace)
prof.dump_stats(filename)
# cProfile.runctx(timing_code, namespace, namespace, filename)
print("saved profiling to", filename)
return filename
示例14: scale
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def scale(image, function, profile):
if profile:
print("Scaling using {}()...".format(function))
cProfile.runctx("{}(image.pixels, image.width, "
"image.height, 0.5)".format(function), globals(), locals())
示例15: command
# 需要导入模块: import cProfile [as 别名]
# 或者: from cProfile import runctx [as 别名]
def command(self):
self._load_config_into_test_app()
import paste.fixture
import cProfile
import re
url = self.args[0]
if self.args[1:]:
user = self.args[1]
else:
user = 'visitor'
def profile_url(url):
try:
res = self.app.get(url, status=[200],
extra_environ={'REMOTE_USER': user})
except paste.fixture.AppError:
print 'App error: ', url.strip()
except KeyboardInterrupt:
raise
except:
import traceback
traceback.print_exc()
print 'Unknown error: ', url.strip()
output_filename = 'ckan%s.profile' % re.sub('[/?]', '.', url.replace('/', '.'))
profile_command = "profile_url('%s')" % url
cProfile.runctx(profile_command, globals(), locals(), filename=output_filename)
import pstats
stats = pstats.Stats(output_filename)
stats.sort_stats('cumulative')
stats.print_stats(0.1) # show only top 10% of lines
print 'Only top 10% of lines shown'
print 'Written profile to: %s' % output_filename