


import dataclasses
import json
import warnings
from dataclasses import dataclass, field
from time import time
from typing import List

from ..utils import logging


snake_case__			 =						logging.get_logger(__name__)


def 				lowerCamelCase__	(      a	:   Dict=None	,  a	:   List[Any]=None				)    ->	int:





			"""simple docstring"""
			return field(default_factory=lambda: default	,  metadata=SCREAMING_SNAKE_CASE_				)







@dataclass
class 					lowerCAmelCase_ :
						lowerCamelCase_         =     list_field(
						    default=[]			,metadata={
						        'help': (
						            'Model checkpoints to be provided to the AutoModel classes. Leave blank to benchmark the base version'
						            ' of all available models'
						        )
						    }			,)

						lowerCamelCase_         =     list_field(
						    default=[8]			,metadata={'help': 'List of batch sizes for which memory and time performance will be evaluated'})

						lowerCamelCase_         =     list_field(
						    default=[8, 32, 128, 512]			,metadata={'help': 'List of sequence lengths for which memory and time performance will be evaluated'}			,)

						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={'help': 'Whether to benchmark inference of model. Inference can be disabled via --no-inference.'}			,)
						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={'help': 'Whether to run on available cuda devices. Cuda can be disabled via --no-cuda.'}			,)
						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={'help': 'Whether to run on available tpu devices. TPU can be disabled via --no-tpu.'})
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Use FP16 to accelerate inference.'})
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Benchmark training of model'})
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Verbose memory tracing'})
						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={'help': 'Whether to perform speed measurements. Speed measurements can be disabled via --no-speed.'}			,)
						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={
						        'help': 'Whether to perform memory measurements. Memory measurements can be disabled via --no-memory'
						    }			,)
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Trace memory line by line'})
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Save result to a CSV file'})
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Save all print statements in a log file'})
						lowerCamelCase_         =     field(default=lowercase__			,metadata={'help': 'Whether to print environment information'})
						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={
						        'help': (
						            'Whether to use multiprocessing for memory and speed measurement. It is highly recommended to use'
						            ' multiprocessing for accurate CPU and GPU memory measurements. This option should only be disabled'
						            ' for debugging / testing and on TPU.'
						        )
						    }			,)
						lowerCamelCase_         =     field(
						    default=F'inference_time_{round(time())}.csv'			,metadata={'help': 'CSV filename used if saving time results to csv.'}			,)
						lowerCamelCase_         =     field(
						    default=F'inference_memory_{round(time())}.csv'			,metadata={'help': 'CSV filename used if saving memory results to csv.'}			,)
						lowerCamelCase_         =     field(
						    default=F'train_time_{round(time())}.csv'			,metadata={'help': 'CSV filename used if saving time results to csv for training.'}			,)
						lowerCamelCase_         =     field(
						    default=F'train_memory_{round(time())}.csv'			,metadata={'help': 'CSV filename used if saving memory results to csv for training.'}			,)
						lowerCamelCase_         =     field(
						    default=F'env_info_{round(time())}.csv'			,metadata={'help': 'CSV filename used if saving environment information.'}			,)
						lowerCamelCase_         =     field(
						    default=F'log_{round(time())}.csv'			,metadata={'help': 'Log filename used if print statements are saved in log.'}			,)
						lowerCamelCase_         =     field(default=3			,metadata={'help': 'Times an experiment will be run.'})
						lowerCamelCase_         =     field(
						    default=lowercase__			,metadata={
						        'help': (
						            'Instead of loading the model as defined in `config.architectures` if exists, just load the pretrain'
						            ' model weights.'
						        )
						    }			,)




						def  _snake_case					(	self						:   Optional[int]						)      ->Optional[Any]:






									"""simple docstring"""






									warnings.warn(
									    F'''The class {self.__class__} is deprecated. Hugging Face Benchmarking utils'''
									    " are deprecated in general and it is advised to use external Benchmarking libraries "
									    " to benchmark Transformer models."   ,     __lowercase   ,     )




						def  _snake_case					(	self						:   Any						)      ->Union[str, Any]:






									"""simple docstring"""






									return json.dumps(dataclasses.asdict(self						)   ,     indent=2						)




						@property
						def  _snake_case					(	self						:   Dict						)      ->Any:






									"""simple docstring"""






									if len(self.models						) <= 0:
												raise ValueError(
												    "Please make sure you provide at least one model name / model identifier, *e.g.* `--models"
												    " bert-base-cased` or `args.models = ['bert-base-cased']."						)
									return self.models






						@property
						def  _snake_case					(	self						:   Optional[Any]						)      ->Optional[Any]:






									"""simple docstring"""






									if not self.multi_process:
												return False
									elif self.is_tpu:
												logger.info("Multiprocessing is currently not possible on TPU."						)
												return False
									else:
												return True






def 				lowerCamelCase__	(      a	:   int = 1_000_000				)    ->	int:





			"""simple docstring"""
			a__ :int						  =    [i - 1 for i in range(limit + 1				)]

			for i in range(2	,  limit + 1				):
						if phi[i] == i - 1:
									for j in range(2 * i	,  limit + 1	,  a				):
												phi[j] -= phi[j] // i

			return sum(phi[2 : limit + 1]				)


if __name__ == "__main__":
		print(solution())


