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The tool to check the availability or syntax of domain, IP or URL.

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Provides some global utilities.

Author: Nissar Chababy, @funilrys, contactTATAfunilrysTODTODcom

Special thanks: https://pyfunceble.github.io/#/special-thanks

Contributors: https://pyfunceble.github.io/#/contributors

Project link: https://github.com/funilrys/PyFunceble

Project documentation: https://docs.pyfunceble.com

Project homepage: https://pyfunceble.github.io/

License: ::

Copyright 2017, 2018, 2019, 2020, 2022, 2023, 2024 Nissar Chababy

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

profile_it(*, sort_stats='cumulative', show_callers=False)

Provides a context manager which will activates the profiling of our source code.

Parameters:

Name Type Description Default
sort_starts

The column to sort.

required
show_callers bool

Authorizes the output of the callers.

False
Source code in PyFunceble/utils/profile.py
@contextlib.contextmanager
def profile_it(*, sort_stats: str = "cumulative", show_callers: bool = False):
    """
    Provides a context manager which will activates the profiling of our
    source code.

    :param sort_starts:
        The column to sort.
    :param show_callers:
        Authorizes the output of the callers.
    """

    profiler = cProfile.Profile()
    profiler.enable()

    yield

    profiler.disable()

    our_stream = io.StringIO()

    profiler_starts = pstats.Stats(profiler, stream=our_stream)

    if sort_stats:
        profiler_starts.sort_stats(sort_stats)

    profiler_starts.print_stats()

    if show_callers:
        profiler_starts.print_callees()

    print(our_stream.getvalue())

profile_memory(stats_mode='lineno', top_limit=10)

Provides a context manager which will activates memory profiling of our source code.

Source code in PyFunceble/utils/profile.py
@contextlib.contextmanager
def profile_memory(stats_mode: str = "lineno", top_limit: int = 10):
    """
    Provides a context manager which will activates memory profiling of our
    source code.
    """

    tracemalloc.start()

    yield

    snapshot = tracemalloc.take_snapshot()
    snapshot = snapshot.filter_traces(
        (
            tracemalloc.Filter(False, "<frozen importlib._bootstrap>"),
            tracemalloc.Filter(False, "<unknown>"),
            tracemalloc.Filter(False, "<frozen importlib._bootstrap_external>"),
        )
    )
    top_stats = snapshot.statistics(stats_mode)

    print("Top %s lines" % top_limit)
    for index, stat in enumerate(top_stats[:top_limit], 1):
        frame = stat.traceback[0]
        print(
            "#%s: %s:%s: %.1f KiB"
            % (index, frame.filename, frame.lineno, stat.size / 1024)
        )
        line = linecache.getline(frame.filename, frame.lineno).strip()
        if line:
            print("    %s" % line)

    other = top_stats[top_limit:]
    if other:
        size = sum(stat.size for stat in other)
        print("%s other: %.1f KiB" % (len(other), size / 1024))
    total = sum(stat.size for stat in top_stats)
    print("Total allocated size: %.1f KiB" % (total / 1024))