



'''simple docstring'''


from __future__ import annotations







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      float ,  lowercase_    :      float ,  lowercase_    :      float						):
						if (voltage, current, resistance).count(0						) != 1:
												raise ValueError("""One and only one argument must be 0"""						)
						if resistance < 0:
												raise ValueError("""Resistance cannot be negative"""						)
						if voltage == 0:
												return {"voltage": float(current * resistance						)}
						elif current == 0:
												return {"current": voltage / resistance}
						elif resistance == 0:
												return {"resistance": voltage / current}
						else:
												raise ValueError("""Exactly one argument must be 0"""						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()







'''simple docstring'''


# coding=utf-8
# Copyright 2023 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 platform
import sys


lowercase_      :				List[str]   					=    '''3'''

print('''Python version:''', sys.version)

print('''OS platform:''', platform.platform())
print('''OS architecture:''', platform.machine())

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())
except ImportError:
						print('''Torch version:''', None)

try:
						import transformers

						print('''transformers version:''', transformers.__version__)
except ImportError:
						print('''transformers version:''', None)


