




class 		__A      (			UpperCamelCase__			):
						pass




class 		__A      (			UpperCamelCase__			):
						pass




class 		__A      :

						def __init__(		self   :Union[str, Any] ):
										'''simple docstring'''

										__magic_name__	:	Tuple								=[
										    [],
										    [],
										    [],
										]

						def     A__						(		self   :Union[str, Any]    , __snake_case   :int    , __snake_case   :int ):
										'''simple docstring'''

										try:
														if len(self.queues[priority] ) >= 1_00:
																		raise OverflowError("""Maximum queue size is 100""" )
														self.queues[priority].append(__snake_case )
										except IndexError:
														raise ValueError("""Valid priorities are 0, 1, and 2""" )

						def     A__						(		self   :str ):
										'''simple docstring'''

										for queue in self.queues:
														if queue:
																		return queue.pop(0 )
										raise UnderFlowError("""All queues are empty""" )


						def __str__(		self   :Optional[Any] ):
										'''simple docstring'''

										return "\n".join(f"Priority {i}: {q}" for i, q in enumerate(self.queues ) )




class 		__A      :

						def __init__(		self   :Optional[int] ):
										'''simple docstring'''

										__magic_name__	:	Any								=[]

						def     A__						(		self   :Dict    , __snake_case   :int ):
										'''simple docstring'''

										if len(self.queue ) == 1_00:
														raise OverFlowError("""Maximum queue size is 100""" )
										self.queue.append(__snake_case )

						def     A__						(		self   :Optional[int] ):
										'''simple docstring'''

										if not self.queue:
														raise UnderFlowError("""The queue is empty""" )
										else:
														__magic_name__	:	List[Any]								=min(self.queue )
														self.queue.remove(__snake_case )
														return data


						def __str__(		self   :Union[str, Any] ):
										'''simple docstring'''

										return str(self.queue )




def 		lowerCAmelCase_   (	):
				__magic_name__	:	List[str]								=FixedPriorityQueue()
				fpq.enqueue(0	,     10   )
				fpq.enqueue(1	,     70   )
				fpq.enqueue(0	,     100   )
				fpq.enqueue(2	,     1   )
				fpq.enqueue(2	,     5   )
				fpq.enqueue(1	,     7   )
				fpq.enqueue(2	,     4   )
				fpq.enqueue(1	,     64   )
				fpq.enqueue(0	,     128   )
				print(lowerCamelCase   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(lowerCamelCase   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )
				print(fpq.dequeue()   )




def 		lowerCAmelCase_   (	):
				__magic_name__	:	int								=ElementPriorityQueue()
				epq.enqueue(10   )
				epq.enqueue(70   )
				epq.enqueue(100   )
				epq.enqueue(1   )
				epq.enqueue(5   )
				epq.enqueue(7   )
				epq.enqueue(4   )
				epq.enqueue(64   )
				epq.enqueue(128   )
				print(lowerCamelCase   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(lowerCamelCase   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )
				print(epq.dequeue()   )


if __name__ == "__main__":
							fixed_priority_queue()
							element_priority_queue()










# 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_		:				str									=     "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)




