



from __future__ import annotations

def 			A_      (	__a     :				list[int]		):  # This function is recursive

				"""simple docstring"""
				a__				      =		len(__a		)
				# If the array contains only one element, we return it (it's the stop condition of
				# recursion)
				if array_length <= 1:
								return array
								# Else
				a__				      =		array[0]
				a__				      =		False
				a__				      =		1
				a__				      =		[]
				while not is_found and i < array_length:
								if array[i] < pivot:
												a__				      =		True
												a__				      =		[element for element in array[i:] if element >= array[i]]
												a__				      =		longest_subsequence(__a		)
												if len(__a		) > len(__a		):
																a__				      =		temp_array
								else:
												i += 1

				a__				      =		[element for element in array[1:] if element >= pivot]
				a__				      =		[pivot, *longest_subsequence(__a		)]
				if len(__a		) > len(__a		):
								return temp_array
				else:
								return longest_subseq


if __name__ == "__main__":
	import doctest

	doctest.testmod()






# 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


UpperCAmelCase							 =					"""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)

