


'''simple docstring'''



def    lowerCamelCase__   ( A     :    str  ):




						'''simple docstring'''






						UpperCAmelCase         =			0

						# if input_string is "aba" than new_input_string become "a|b|a"
						UpperCAmelCase         =			''''''
						UpperCAmelCase         =			''''''

						# append each character + "|" in new_string for range(0, length-1)
						for i in input_string[: len(A  ) - 1]:
												new_input_string += i + "|"
						# append last character
						new_input_string += input_string[-1]

						# we will store the starting and ending of previous furthest ending palindromic
						# substring
						UpperCAmelCase       ,       UpperCAmelCase         =			0, 0

						# length[i] shows the length of palindromic substring with center i
						UpperCAmelCase         =			[1 for i in range(len(A  )  )]

						# for each character in new_string find corresponding palindromic string
						UpperCAmelCase         =			0
						for j in range(len(A  )  ):
												UpperCAmelCase         =			1 if j > r else min(length[l + r - j] // 2   ,     r - j + 1  )
												while (
												    j - k >= 0
												    and j + k < len(A  )
												    and new_input_string[k + j] == new_input_string[j - k]
												):
																		k += 1

												UpperCAmelCase         =			2 * k - 1

												# does this string is ending after the previously explored end (that is r) ?
												# if yes the update the new r to the last index of this
												if j + k - 1 > r:
																		UpperCAmelCase         =			j - k + 1  # noqa: E741
																		UpperCAmelCase         =			j + k - 1

												# update max_length and start position
												if max_length < length[j]:
																		UpperCAmelCase         =			length[j]
																		UpperCAmelCase         =			j

    # create that string
						UpperCAmelCase         =			new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
						for i in s:
												if i != "|":
																		output_string += i

						return output_string


if __name__ == "__main__":
	import doctest

	doctest.testmod()









'''simple docstring'''



# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import sys

import transformers


_lowercase    :    Union[str, Any]			     =  """3"""

print("""Python version:""", sys.version)
print("""transformers version:""", transformers.__version__)

try:
	import torch

	print("""Torch version:""", torch.__version__)
	print("""Cuda available:""", torch.cuda.is_available())
	print("""Cuda version:""", torch.version.cuda)
	print("""CuDNN version:""", torch.backends.cudnn.version())
	print("""Number of GPUs available:""", torch.cuda.device_count())
	print("""NCCL version:""", torch.cuda.nccl.version())
except ImportError:
	print("""Torch version:""", None)

try:
	import deepspeed

	print("""DeepSpeed version:""", deepspeed.__version__)
except ImportError:
	print("""DeepSpeed version:""", None)

try:
	import tensorflow as tf

	print("""TensorFlow version:""", tf.__version__)
	print("""TF GPUs available:""", bool(tf.config.list_physical_devices("""GPU""")))
	print("""Number of TF GPUs available:""", len(tf.config.list_physical_devices("""GPU""")))
except ImportError:
	print("""TensorFlow version:""", None)





