


'''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 							__magic_name__(						lowerCamelCase):
						return (torch.arange(state.num_processes) + 1.0 + (state.num_processes * state.process_index)).to(state.device)

def 							__magic_name__(						lowerCamelCase):
						__lowerCAmelCase							       =				create_tensor(lowerCamelCase)
						__lowerCAmelCase							       =				gather(lowerCamelCase)
						assert gathered_tensor.tolist() == list(range(1,				state.num_processes**2 + 1))

def 							__magic_name__(						lowerCamelCase):
						__lowerCAmelCase							       =				[state.process_index]
						__lowerCAmelCase							       =				gather_object(lowerCamelCase)
						assert len(lowerCamelCase) == state.num_processes, F"""{gathered_obj}, {len(lowerCamelCase)} != {state.num_processes}"""
						assert gathered_obj == list(range(state.num_processes)), F"""{gathered_obj} != {list(range(state.num_processes))}"""

def 							__magic_name__(						lowerCamelCase):
						__lowerCAmelCase							       =				create_tensor(lowerCamelCase)
						__lowerCAmelCase							       =				broadcast(lowerCamelCase)
						assert broadcasted_tensor.shape == torch.Size([state.num_processes])
						assert broadcasted_tensor.tolist() == list(range(1,				state.num_processes + 1))

def 							__magic_name__(						lowerCamelCase):
						# 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:
												__lowerCAmelCase							       =				torch.arange(state.num_processes + 1).to(state.device)
						else:
												__lowerCAmelCase							       =				torch.arange(state.num_processes).to(state.device)
						__lowerCAmelCase							       =				pad_across_processes(lowerCamelCase)
						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 							__magic_name__(						lowerCamelCase):
						# For now runs on only two processes
						if state.num_processes != 2:
												return
						__lowerCAmelCase							       =				create_tensor(lowerCamelCase)
						__lowerCAmelCase							       =				reduce(lowerCamelCase,				'''sum''')
						__lowerCAmelCase							       =				torch.tensor([4.0, 6]).to(state.device)
						assert torch.allclose(lowerCamelCase,				lowerCamelCase), F"""{reduced_tensor} != {truth_tensor}"""

def 							__magic_name__(						lowerCamelCase):
						# For now runs on only two processes
						if state.num_processes != 2:
												return
						__lowerCAmelCase							       =				create_tensor(lowerCamelCase)
						__lowerCAmelCase							       =				reduce(lowerCamelCase,				'''mean''')
						__lowerCAmelCase							       =				torch.tensor([2.0, 3]).to(state.device)
						assert torch.allclose(lowerCamelCase,				lowerCamelCase), F"""{reduced_tensor} != {truth_tensor}"""

def 							__magic_name__(						lowerCamelCase):
						# For xla_spawn (TPUs)
						main()

def 							__magic_name__(						):
						__lowerCAmelCase							       =				PartialState()
						state.print(F"""State: {state}""")
						state.print('''testing gather''')
						test_gather(lowerCamelCase)
						state.print('''testing gather_object''')
						test_gather_object(lowerCamelCase)
						state.print('''testing broadcast''')
						test_broadcast(lowerCamelCase)
						state.print('''testing pad_across_processes''')
						test_pad_across_processes(lowerCamelCase)
						state.print('''testing reduce_sum''')
						test_reduce_sum(lowerCamelCase)
						state.print('''testing reduce_mean''')
						test_reduce_mean(lowerCamelCase)


if __name__ == "__main__":
	main()





'''simple docstring'''

from string import ascii_uppercase

_UpperCAmelCase				: Optional[int]							    =				{char: i for i, char in enumerate(ascii_uppercase)}
_UpperCAmelCase				: Optional[int]							    =				dict(enumerate(ascii_uppercase))

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						__lowerCAmelCase							       =				len(lowerCamelCase)
						__lowerCAmelCase							       =				0
						while True:
												if x == i:
																		__lowerCAmelCase							       =				0
												if len(lowerCamelCase) == len(lowerCamelCase):
																		break
												key += key[i]
												i += 1
						return key

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						__lowerCAmelCase							       =				''''''
						__lowerCAmelCase							       =				0
						for letter in message:
												if letter == " ":
																		cipher_text += " "
												else:
																		__lowerCAmelCase							       =				(dicta[letter] - dicta[key_new[i]]) % 2_6
																		i += 1
																		cipher_text += dicta[x]
						return cipher_text

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						__lowerCAmelCase							       =				''''''
						__lowerCAmelCase							       =				0
						for letter in cipher_text:
												if letter == " ":
																		or_txt += " "
												else:
																		__lowerCAmelCase							       =				(dicta[letter] + dicta[key_new[i]] + 2_6) % 2_6
																		i += 1
																		or_txt += dicta[x]
						return or_txt

def 							__magic_name__(						):
						__lowerCAmelCase							       =				'''THE GERMAN ATTACK'''
						__lowerCAmelCase							       =				'''SECRET'''
						__lowerCAmelCase							       =				generate_key(lowerCamelCase,				lowerCamelCase)
						__lowerCAmelCase							       =				cipher_text(lowerCamelCase,				lowerCamelCase)
						print(F"""Encrypted Text = {s}""")
						print(F"""Original Text = {original_text(lowerCamelCase,				lowerCamelCase)}""")


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()

