

'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    Tuple	)							->     bool:
						lowercase   :       Tuple								=(1 + 24 * n) ** 0.5
						return ((1 + root) / 6) % 1 == 0






def 							_lowerCAmelCase (      __magic_name__	:    Any = 5000	)							->     int:
						lowercase   :       str								=[(i * (3 * i - 1)) // 2 for i in range(1      ,   __magic_name__	)]
						for i, pentagonal_i in enumerate(__magic_name__	):
												for j in range(__magic_name__      ,   len(__magic_name__	)	):
																		lowercase   :       List[Any]								=pentagonal_nums[j]
																		lowercase   :       int								=pentagonal_i + pentagonal_j
																		lowercase   :       Optional[int]								=pentagonal_j - pentagonal_i
																		if is_pentagonal(__magic_name__	) and is_pentagonal(__magic_name__	):
																								return b

						return -1


if __name__ == "__main__":
							print(f'''{solution() = }''')








'''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


UpperCamelCase_							=					"""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)





