
import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


UpperCAmelCase__		:     Optional[int]     			=      logging.get_logger(__name__)






class UpperCAmelCase   :





   '''simple docstring'''
   __UpperCamelCase		:    List[Any] 				=    None






@experimental
def   lowerCamelCase__							(					a		,		a		,		a		,		a		,		a		,		a		,		a      )      ->   List[str]:
   if ParallelBackendConfig.backend_name is None:
      return _map_with_multiprocessing_pool(
          a		,		a		,		a		,		a		,		a		,		a		,		a      )

   return _map_with_joblib(a		,		a		,		a		,		a		,		a		,		a		,		a      )






def   lowerCamelCase__							(					a		,		a		,		a		,		a		,		a		,		a		,		a      )      ->   int:
   _A:  List[str]					=       num_proc if num_proc <= len(a      ) else len(a      )
   _A:  Any					=       []  # We organize the splits ourselve (contiguous splits)
   for index in range(a      ):
      _A:  Dict					=       len(a      ) // num_proc
      _A:  Optional[Any]					=       len(a      ) % num_proc
      _A:  Dict					=       div * index + min(a		,		a      )
      _A:  int					=       start + div + (1 if index < mod else 0)
      split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)      )

   if len(a      ) != sum(len(i[1]      ) for i in split_kwds      ):
      raise ValueError(
          f"""Error dividing inputs iterable among processes. """
          f"""Total number of objects {len(a      )}, """
          f"""length: {sum(len(i[1]      ) for i in split_kwds      )}"""      )

   logger.info(
       f"""Spawning {num_proc} processes for {len(a      )} objects in slices of {[len(i[1]      ) for i in split_kwds]}"""      )
   _A			,  _A:  Optional[int]					=       None, None
   if not disable_tqdm:
      _A			,  _A:  int					=       (RLock(),), tqdm.set_lock
   with Pool(a		,		initargs=a		,		initializer=a      ) as pool:
      _A:  Dict					=       pool.map(a		,		a      )
   logger.info(f"""Finished {num_proc} processes"""      )
   _A:  List[Any]					=       [obj for proc_res in mapped for obj in proc_res]
   logger.info(f"""Unpacked {len(a      )} objects"""      )

   return mapped






def   lowerCamelCase__							(					a		,		a		,		a		,		a		,		a		,		a		,		a      )      ->   Dict:
   # progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
   # and it requires monkey-patching joblib internal classes which is subject to change
   import joblib

   with joblib.parallel_backend(ParallelBackendConfig.backend_name		,		n_jobs=a      ):
      return joblib.Parallel()(
          joblib.delayed(a      )((function, obj, types, None, True, None)      ) for obj in iterable      )






@experimental
@contextlib.contextmanager
def   lowerCamelCase__							(					a      )      ->   Any:
   _A:  Dict					=       backend_name

   if backend_name == "spark":
      from joblibspark import register_spark

      register_spark()

      # TODO: call create_cache_and_write_probe if "download" in steps
      # TODO: raise NotImplementedError when Dataset.map etc is called

   try:
      yield
   finally:
      _A:  List[str]					=       None





# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# 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
#
#     http://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.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser






def   lowerCamelCase__							(					a=None      )      ->   int:
   _A:  Union[str, Any]					=       argparse.ArgumentParser(add_help=a		,		allow_abbrev=a      )
   # The main config parser
   _A:  str					=       config_command_parser(a      )
   # The subparser to add commands to
   _A:  str					=       config_parser.add_subparsers(title='''subcommands'''		,		dest='''subcommand'''      )

   # Then add other parsers with the parent parser
   default_command_parser(a		,		parents=[parent_parser]      )
   update_command_parser(a		,		parents=[parent_parser]      )

   return config_parser






def   lowerCamelCase__							(					)      ->   Union[str, Any]:
   _A:  Any					=       get_config_parser()
   _A:  Tuple					=       config_parser.parse_args()

   if not hasattr(a		,		'''func'''      ):
      config_parser.print_help()
      exit(1      )

   # Run
   args.func(a      )


if __name__ == "__main__":
   main()



