

from __future__ import annotations

import math
from collections.abc import Callable


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = 100    ,						):
						snake_case_  =      x_start
						snake_case_  =      fnc(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      0.0

						for _ in range(SCREAMING_SNAKE_CASE__			):
												# Approximates curve as a sequence of linear lines and sums their length
												snake_case_  =      (x_end - x_start) / steps + xa
												snake_case_  =      fnc(SCREAMING_SNAKE_CASE__			)
												length += math.hypot(xa - xa    ,						fxa - fxa			)

												# Increment step
												snake_case_  =      xa
												snake_case_  =      fxa

						return length


if __name__ == "__main__":


					def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
											return math.sin(10 * x			)

					print('''f(x) = sin(10 * x)''')
					print('''The length of the curve from x = -10 to x = 10 is:''')
					lowerCAmelCase_			      =      10
					while i <= 10_00_00:
										print(f"""With {i} steps: {line_length(f, -10, 10, i)}""")
										i *= 10







# 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)





