



'''simple docstring'''




import os
from collections.abc import Iterator



def       __lowerCamelCase  (					_lowercase = "."		)      ->			Iterator[str]:
							for dir_path, dir_names, filenames in os.walk(_lowercase		):
														UpperCAmelCase     :		Any							     =		[d for d in dir_names if d != """scripts""" and d[0] not in """._"""]
														for filename in filenames:
																					if filename == "__init__.py":
																												continue
																					if os.path.splitext(_lowercase		)[1] in (".py", ".ipynb"):
																												yield os.path.join(_lowercase	,				_lowercase		).lstrip("""./"""		)



def       __lowerCamelCase  (					_lowercase		)      ->			Union[str, Any]:
							return F'''{i * '  '}*''' if i else "\n##"



def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			str:
							UpperCAmelCase     :		List[Any]							     =		old_path.split(os.sep		)
							for i, new_part in enumerate(new_path.split(os.sep		)		):
														if (i + 1 > len(_lowercase		) or old_parts[i] != new_part) and new_part:
																					print(F'''{md_prefix(_lowercase		)} {new_part.replace('_'	,				' '		).title()}'''		)
							return new_path



def       __lowerCamelCase  (					_lowercase = "."		)      ->			None:
							UpperCAmelCase     :		Optional[int]							     =		""""""
							for filepath in sorted(good_file_paths(_lowercase		)		):
														UpperCAmelCase     ,     UpperCAmelCase     :		Union[str, Any]							     =		os.path.split(_lowercase		)
														if filepath != old_path:
																					UpperCAmelCase     :		Tuple							     =		print_path(_lowercase	,				_lowercase		)
														UpperCAmelCase     :		int							     =		(filepath.count(os.sep		) + 1) if filepath else 0
														UpperCAmelCase     :		str							     =		F'''{filepath}/{filename}'''.replace(""" """	,				"""%20"""		)
														UpperCAmelCase     :		Optional[int]							     =		os.path.splitext(filename.replace("""_"""	,				""" """		).title()		)[0]
														print(F'''{md_prefix(_lowercase		)} [{filename}]({url})'''		)


if __name__ == "__main__":
							print_directory_md(""".""")






'''simple docstring'''




# Copyright 2023 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 torch

from accelerate import PartialState
from accelerate.utils.operations import broadcast, gather, gather_object, pad_across_processes, reduce



def       __lowerCamelCase  (					_lowercase		)      ->			Tuple:
							return (torch.arange(state.num_processes		) + 1.0 + (state.num_processes * state.process_index)).to(state.device		)



def       __lowerCamelCase  (					_lowercase		)      ->			List[Any]:
							UpperCAmelCase     :		Any							     =		create_tensor(_lowercase		)
							UpperCAmelCase     :		Union[str, Any]							     =		gather(_lowercase		)
							assert gathered_tensor.tolist() == list(range(1	,				state.num_processes**2 + 1		)		)



def       __lowerCamelCase  (					_lowercase		)      ->			Optional[int]:
							UpperCAmelCase     :		Any							     =		[state.process_index]
							UpperCAmelCase     :		Union[str, Any]							     =		gather_object(_lowercase		)
							assert len(_lowercase		) == state.num_processes, F'''{gathered_obj}, {len(_lowercase		)} != {state.num_processes}'''
							assert gathered_obj == list(range(state.num_processes		)		), F'''{gathered_obj} != {list(range(state.num_processes		)		)}'''



def       __lowerCamelCase  (					_lowercase		)      ->			List[Any]:
							UpperCAmelCase     :		Optional[int]							     =		create_tensor(_lowercase		)
							UpperCAmelCase     :		List[str]							     =		broadcast(_lowercase		)
							assert broadcasted_tensor.shape == torch.Size([state.num_processes]		)
							assert broadcasted_tensor.tolist() == list(range(1	,				state.num_processes + 1		)		)



def       __lowerCamelCase  (					_lowercase		)      ->			Tuple:
							# We need to pad the tensor with one more element if we are the main process
							# to ensure that we can pad
							if state.is_main_process:
														UpperCAmelCase     :		Optional[Any]							     =		torch.arange(state.num_processes + 1		).to(state.device		)
							else:
														UpperCAmelCase     :		Tuple							     =		torch.arange(state.num_processes		).to(state.device		)
							UpperCAmelCase     :		Optional[Any]							     =		pad_across_processes(_lowercase		)
							assert padded_tensor.shape == torch.Size([state.num_processes + 1]		)
							if not state.is_main_process:
														assert padded_tensor.tolist() == list(range(0	,				state.num_processes		)		) + [0]



def       __lowerCamelCase  (					_lowercase		)      ->			Dict:
							# For now runs on only two processes
							if state.num_processes != 2:
														return
							UpperCAmelCase     :		Optional[Any]							     =		create_tensor(_lowercase		)
							UpperCAmelCase     :		Optional[Any]							     =		reduce(_lowercase	,				"""sum"""		)
							UpperCAmelCase     :		Optional[Any]							     =		torch.tensor([4.0, 6]		).to(state.device		)
							assert torch.allclose(_lowercase	,				_lowercase		), F'''{reduced_tensor} != {truth_tensor}'''



def       __lowerCamelCase  (					_lowercase		)      ->			Optional[Any]:
							# For now runs on only two processes
							if state.num_processes != 2:
														return
							UpperCAmelCase     :		Tuple							     =		create_tensor(_lowercase		)
							UpperCAmelCase     :		Optional[int]							     =		reduce(_lowercase	,				"""mean"""		)
							UpperCAmelCase     :		str							     =		torch.tensor([2.0, 3]		).to(state.device		)
							assert torch.allclose(_lowercase	,				_lowercase		), F'''{reduced_tensor} != {truth_tensor}'''



def       __lowerCamelCase  (					_lowercase		)      ->			Optional[int]:
							# For xla_spawn (TPUs)
							main()



def       __lowerCamelCase  (					)      ->			int:
							UpperCAmelCase     :		List[Any]							     =		PartialState()
							state.print(F'''State: {state}'''		)
							state.print("""testing gather"""		)
							test_gather(_lowercase		)
							state.print("""testing gather_object"""		)
							test_gather_object(_lowercase		)
							state.print("""testing broadcast"""		)
							test_broadcast(_lowercase		)
							state.print("""testing pad_across_processes"""		)
							test_pad_across_processes(_lowercase		)
							state.print("""testing reduce_sum"""		)
							test_reduce_sum(_lowercase		)
							state.print("""testing reduce_mean"""		)
							test_reduce_mean(_lowercase		)


if __name__ == "__main__":
							main()

