



"""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__			(     lowerCamelCase__			) ->							Union[str, Any]:
       return (torch.arange(state.num_processes			) + 1.0 + (state.num_processes * state.process_index)).to(state.device			)

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Optional[int]:
       A         =					create_tensor(UpperCAmelCase__			)
       A         =					gather(UpperCAmelCase__			)
       assert gathered_tensor.tolist() == list(range(1				,      state.num_processes**2 + 1			)			)

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							str:
       A         =					[state.process_index]
       A         =					gather_object(UpperCAmelCase__			)
       assert len(UpperCAmelCase__			) == state.num_processes, f"""{gathered_obj}, {len(UpperCAmelCase__			)} != {state.num_processes}"""
       assert gathered_obj == list(range(state.num_processes			)			), f"""{gathered_obj} != {list(range(state.num_processes			)			)}"""

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Optional[Any]:
       A         =					create_tensor(UpperCAmelCase__			)
       A         =					broadcast(UpperCAmelCase__			)
       assert broadcasted_tensor.shape == torch.Size([state.num_processes]			)
       assert broadcasted_tensor.tolist() == list(range(1				,      state.num_processes + 1			)			)

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Optional[int]:

       if state.is_main_process:
              A         =					torch.arange(state.num_processes + 1			).to(state.device			)
       else:
              A         =					torch.arange(state.num_processes			).to(state.device			)
       A         =					pad_across_processes(UpperCAmelCase__			)
       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__			(     lowerCamelCase__			) ->							Tuple:

       if state.num_processes != 2:
              return
       A         =					create_tensor(UpperCAmelCase__			)
       A         =					reduce(UpperCAmelCase__				,      'sum'			)
       A         =					torch.tensor([4.0, 6]			).to(state.device			)
       assert torch.allclose(UpperCAmelCase__				,      UpperCAmelCase__			), f"""{reduced_tensor} != {truth_tensor}"""

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Optional[Any]:

       if state.num_processes != 2:
              return
       A         =					create_tensor(UpperCAmelCase__			)
       A         =					reduce(UpperCAmelCase__				,      'mean'			)
       A         =					torch.tensor([2.0, 3]			).to(state.device			)
       assert torch.allclose(UpperCAmelCase__				,      UpperCAmelCase__			), f"""{reduced_tensor} != {truth_tensor}"""

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Any:
       main()

def   lowerCAmelCase__			(     ) ->							int:
       A         =					PartialState()
       state.print(f"""State: {state}"""			)
       state.print('testing gather'			)
       test_gather(UpperCAmelCase__			)
       state.print('testing gather_object'			)
       test_gather_object(UpperCAmelCase__			)
       state.print('testing broadcast'			)
       test_broadcast(UpperCAmelCase__			)
       state.print('testing pad_across_processes'			)
       test_pad_across_processes(UpperCAmelCase__			)
       state.print('testing reduce_sum'			)
       test_reduce_sum(UpperCAmelCase__			)
       state.print('testing reduce_mean'			)
       test_reduce_mean(UpperCAmelCase__			)


if __name__ == "__main__":
       main()








"""simple docstring"""







import re

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							list:
							return [char.split() for char in re.split(R'[^ a-z A-Z 0-9 \s]'				,      str_			)]

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							str:
							A         =					split_input(str_			)
							return "".join(
							    [''.join([char.capitalize() for char in sub_str]			) for sub_str in string_split]			)

def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__			) ->							str:
							try:
														A         =					split_input(lowerCamelCase__			)
														if upper:
																					A         =					''.join(
																					    [
																					        separator.join([char.upper() for char in sub_str]			)
																					        for sub_str in string_split
																					    ]			)
														else:
																					A         =					''.join(
																					    [
																					        separator.join([char.lower() for char in sub_str]			)
																					        for sub_str in string_split
																					    ]			)
														return res_str
							except IndexError:
														return "not valid string"

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							str:
							return to_simple_case(lowerCamelCase__			)

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							str:
							try:
														A         =					to_simple_case(lowerCamelCase__			)
														return res_str[0].lower() + res_str[1:]
							except IndexError:
														return "not valid string"

def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							str:
							return to_complex_case(lowerCamelCase__				,      lowerCamelCase__				,      '_'			)

def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							str:
							return to_complex_case(lowerCamelCase__				,      lowerCamelCase__				,      '-'			)


if __name__ == "__main__":
							__import__('doctest').testmod()



