n_samples increase program hangs #20

soumyadiptapete · 2022-01-25T07:54:06Z

soumyadiptapete
Jan 25, 2022

Sometimes the program hangs on increasing n_samples in model.get_summary().

below error message keeps printing.
if name == 'main':
freeze_support()
...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:84: FutureWarning: Index.is_all_dates is deprecated, will be removed in a future version. check index.inferred_type instead
if not data.index.is_all_dates:
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:1275: UserWarning: You passed a edgecolor/edgecolors ('None') for an unfilled marker ('|'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future.
zorder=15,
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="mp_main")
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\soumyadipta.sengupta\OneDrive - Shell\Documents\Corrosion_project\EVA_example\EVA_example.py", line 50, in
return_period_size="365.2425D",n_samples=500,alpha=0.95)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 1051, in plot_return_values
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 940, in get_summary
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 880, in get_return_value
exceedance_probability=exceedance_probability, alpha=alpha, **kwargs
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 126, in get_return_value
self._extend_fit_parameter_cache(n=n_extra_fit_parameters)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 237, in _extend_fit_parameter_cache
with multiprocessing.Pool(processes=n_cores) as pool:
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 119, in Pool
context=self.get_context())
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 176, in init
self._repopulate_pool()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 241, in _repopulate_pool
w.start()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\popen_spawn_win32.py", line 46, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:84: FutureWarning: Index.is_all_dates is deprecated, will be removed in a future version. check index.inferred_type instead
if not data.index.is_all_dates:
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:1275: UserWarning: You passed a edgecolor/edgecolors ('None') for an unfilled marker ('|'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future.
zorder=15,
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="mp_main")
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\soumyadipta.sengupta\OneDrive - Shell\Documents\Corrosion_project\EVA_example\EVA_example.py", line 50, in
return_period_size="365.2425D",n_samples=500,alpha=0.95)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 1051, in plot_return_values
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 940, in get_summary
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 880, in get_return_value
exceedance_probability=exceedance_probability, alpha=alpha, **kwargs
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 126, in get_return_value
self._extend_fit_parameter_cache(n=n_extra_fit_parameters)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 237, in _extend_fit_parameter_cache
with multiprocessing.Pool(processes=n_cores) as pool:
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 119, in Pool
context=self.get_context())
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 176, in init
self._repopulate_pool()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 241, in _repopulate_pool
w.start()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\popen_spawn_win32.py", line 46, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:84: FutureWarning: Index.is_all_dates is deprecated, will be removed in a future version. check index.inferred_type instead
if not data.index.is_all_dates:
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:1275: UserWarning: You passed a edgecolor/edgecolors ('None') for an unfilled marker ('|'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future.
zorder=15,
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="mp_main")
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\soumyadipta.sengupta\OneDrive - Shell\Documents\Corrosion_project\EVA_example\EVA_example.py", line 50, in
return_period_size="365.2425D",n_samples=500,alpha=0.95)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 1051, in plot_return_values
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 940, in get_summary
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 880, in get_return_value
exceedance_probability=exceedance_probability, alpha=alpha, **kwargs
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 126, in get_return_value
self._extend_fit_parameter_cache(n=n_extra_fit_parameters)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 237, in _extend_fit_parameter_cache
with multiprocessing.Pool(processes=n_cores) as pool:
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 119, in Pool
context=self.get_context())
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 176, in init
self._repopulate_pool()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 241, in _repopulate_pool
w.start()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\popen_spawn_win32.py", line 46, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:84: FutureWarning: Index.is_all_dates is deprecated, will be removed in a future version. check index.inferred_type instead
if not data.index.is_all_dates:
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py:1275: UserWarning: You passed a edgecolor/edgecolors ('None') for an unfilled marker ('|'). Matplotlib is ignoring the edgecolor in favor of the facecolor. This behavior may change in the future.
zorder=15,
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pandas\core\tools\timedeltas.py:142: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="mp_main")
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\soumyadipta.sengupta\OneDrive - Shell\Documents\Corrosion_project\EVA_example\EVA_example.py", line 50, in
return_period_size="365.2425D",n_samples=500,alpha=0.95)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 1051, in plot_return_values
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 940, in get_summary
**kwargs,
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\eva.py", line 880, in get_return_value
exceedance_probability=exceedance_probability, alpha=alpha, **kwargs
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 126, in get_return_value
self._extend_fit_parameter_cache(n=n_extra_fit_parameters)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\site-packages\pyextremes\models\model_mle.py", line 237, in _extend_fit_parameter_cache
with multiprocessing.Pool(processes=n_cores) as pool:
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 119, in Pool
context=self.get_context())
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 176, in init
self._repopulate_pool()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 241, in _repopulate_pool
w.start()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\popen_spawn_win32.py", line 46, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

Answered by georgebv

Jan 26, 2022

This is a common issue for windows. See this thread https://stackoverflow.com/a/18205006/14238855

View full answer

georgebv · 2022-01-26T02:15:50Z

georgebv
Jan 26, 2022
Maintainer

This is a common issue for windows. See this thread https://stackoverflow.com/a/18205006/14238855

4 replies

soumyadiptapete Jan 27, 2022
Author

Thanks. I had tried this solution before in this way
def my_func():
...... contains the EVA code....

if name=='main':
my_func()

Still, it gives the following error on increasing n_samples above 50 bit works fine for n_samples below 50.

Process SpawnPoolWorker-1:
Traceback (most recent call last):
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 297, in _bootstrap
self.run()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 110, in worker
task = get()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\queues.py", line 354, in get
return _ForkingPickler.loads(res)
AttributeError: 'gumbel_r_gen' object has no attribute 'wrapper'
Process SpawnPoolWorker-2:
Traceback (most recent call last):
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 297, in _bootstrap
self.run()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\pool.py", line 110, in worker
task = get()
File "C:\Users\soumyadipta.sengupta\Anaconda3\envs\spy\lib\multiprocessing\queues.py", line 354, in get
return _ForkingPickler.loads(res)
AttributeError: 'gumbel_r_gen' object has no attribute 'wrapper'

georgebv Jan 27, 2022
Maintainer

The problem you have now should have been fixed in pyextremes v2.2.2 and was later patched upstream in scipy - what versions of these packages are you using?

soumyadiptapete Jan 27, 2022
Author

I installed from conda repo. Version is 2.0.0.

soumyadiptapete Jan 27, 2022
Author

I was using Python 3.7. I made a new environment with python 3.8 and installed pyextremes v2.2.4. It is working now. thank you.

kharelg1 · 2023-02-25T15:35:15Z

kharelg1
Feb 25, 2023

I am still having the same issue, although I installed pyextremes 2.2.7 via conda. I am using python 3.9.13 via Spyder. Is there a fix to this issue?

2 replies

georgebv Feb 25, 2023
Maintainer

The solution is in the link above, on windows you must run your logic within the if-main block. This is not a bug, this is just how parallelism is managed by python in windows.

kharelg1 Feb 25, 2023

thank you, it worked!

nido16 · 2023-03-06T09:05:18Z

nido16
Mar 6, 2023

hello my friend first thank you for your pyextreme library i have a question why there is no gumble distribution in your library

1 reply

georgebv Mar 7, 2023
Maintainer

Please create a new discussion, this discussion is for issues with multiprocessing in Windows.

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n_samples increase program hangs #20

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