82 lines
2.1 KiB
Python
82 lines
2.1 KiB
Python
# -*- coding: utf-8 -*-
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; version 2 of the License.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Library General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, see <https://gnu.org/licenses/>.
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"""
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Simple profiler that collects time spent in functions
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or code blocks and also call counts.
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Usage
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=====
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@Profiler("label1")
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def func():
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...
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or
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with Profiler("label2"):
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...
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To print profiling data, run:
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Profiler.print_results()
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"""
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from __future__ import print_function
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import functools
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import sys
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import time
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class Profiler(object):
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_data = {}
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def __init__(self, name):
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self.name = name
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self._data.setdefault(name, {"time": 0, "calls": 0})
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def __enter__(self):
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self.start = time.time()
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def __exit__(self, ty, val, tb):
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delta = time.time() - self.start
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self._data[self.name]["time"] += delta
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self._data[self.name]["calls"] += 1
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def __call__(self, func):
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@functools.wraps(func)
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def decorated(*args, **kwargs):
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with self:
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return func(*args, **kwargs)
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return decorated
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@classmethod
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def print_results(cls, stream=sys.stdout):
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# Ensure all data that was printed to stdout was already flushed. If
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# the caller is redirecting stderr to stdout, and there's buffered
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# data, we may end up in a situation where the stderr output printed
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# below ends up mixed with the stdout lines.
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sys.stdout.flush()
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print("Profiling results:", file=stream)
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results = cls._data.items()
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results = sorted(results, key=lambda x: x[1]["time"], reverse=True)
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for name, data in results:
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print(" %6.2f %5d %s" % (data["time"], data["calls"], name), file=stream)
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