



'''simple docstring'''






import sys
import turtle


def  snake_case_     (					_lowerCAmelCase  :						tuple[float, float]   ,      _lowerCAmelCase  :						tuple[float, float]  )      ->   tuple[float, float]:
							return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2


def  snake_case_     (					_lowerCAmelCase  :						tuple[float, float]   ,      _lowerCAmelCase  :						tuple[float, float]   ,      _lowerCAmelCase  :						tuple[float, float]   ,      _lowerCAmelCase  :						int   ,      )      ->   None:
							my_pen.up()
							my_pen.goto(vertexa[0]   ,      vertexa[1]  )
							my_pen.down()
							my_pen.goto(vertexa[0]   ,      vertexa[1]  )
							my_pen.goto(vertexa[0]   ,      vertexa[1]  )
							my_pen.goto(vertexa[0]   ,      vertexa[1]  )

							if depth == 0:
														return

							triangle(_lowerCAmelCase   ,      get_mid(_lowerCAmelCase   ,      _lowerCAmelCase  )   ,      get_mid(_lowerCAmelCase   ,      _lowerCAmelCase  )   ,      depth - 1  )
							triangle(_lowerCAmelCase   ,      get_mid(_lowerCAmelCase   ,      _lowerCAmelCase  )   ,      get_mid(_lowerCAmelCase   ,      _lowerCAmelCase  )   ,      depth - 1  )
							triangle(_lowerCAmelCase   ,      get_mid(_lowerCAmelCase   ,      _lowerCAmelCase  )   ,      get_mid(_lowerCAmelCase   ,      _lowerCAmelCase  )   ,      depth - 1  )


if __name__ == "__main__":
						if len(sys.argv) != 2:
												raise ValueError(
												    "Correct format for using this script: "
												    "python fractals.py <int:depth_for_fractal>"
												)
						UpperCamelCase__:   List[str]								=			turtle.Turtle()
						my_pen.ht()
						my_pen.speed(5)
						my_pen.pencolor("red")

						UpperCamelCase__:   Optional[Any]								=			[(-175, -125), (0, 175), (175, -125)]  # vertices of triangle
						triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))










'''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


UpperCamelCase__:   Optional[int]								=			"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)





