


import os

import pytest
from attr import dataclass


lowerCAmelCase           =		'''us-east-1'''  # defaults region





@dataclass
class       A    :
							UpperCamelCase_   :							str
							UpperCamelCase_   :							str       ='''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
							UpperCamelCase_   :							str       ={
							    '''task_name''': '''mnli''',
							    '''per_device_train_batch_size''': 16,
							    '''per_device_eval_batch_size''': 16,
							    '''do_train''': True,
							    '''do_eval''': True,
							    '''do_predict''': True,
							    '''output_dir''': '''/opt/ml/model''',
							    '''overwrite_output_dir''': True,
							    '''max_steps''': 500,
							    '''save_steps''': 5_500,
							}
							UpperCamelCase_   :							Any       ={**hyperparameters, '''max_steps''': 1_000}


							@property
							def 			_A       (self					):
									if self.framework == "pytorch":
											return [
											    {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
											    {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
											    {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
											]
									else:
											return [
											    {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
											    {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
											    {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
											]


							@property
							def 			_A       (self					):
									return f'{self.framework}-transfromers-test'


							@property
							def 			_A       (self					):
									return f'./tests/sagemaker/scripts/{self.framework}'







							@property
							def 			_A       (self					):
									if self.framework == "pytorch":
											return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
									else:
											return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"







@pytest.fixture(scope='class'	)
def        _lowerCamelCase(	lowercase__	)						->	List[str]:

		'''simple docstring'''







		__lowercase=			SageMakerTestEnvironment(framework=request.cls.framework	)










import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
lowerCAmelCase           =		[
    '''kernels/rwkv/wkv_cuda.cu''',
    '''kernels/rwkv/wkv_op.cpp''',
    '''kernels/deformable_detr/ms_deform_attn.h''',
    '''kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh''',
    '''models/graphormer/algos_graphormer.pyx''',
]







def        _lowerCamelCase(	lowercase__	)						->	str:

		'''simple docstring'''







		for file in FILES_TO_FIND:
				if not (transformers_path / file).exists():
						return False
		return True


if __name__ == "__main__":
	lowerCAmelCase           =		argparse.ArgumentParser()
	parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
	lowerCAmelCase           =		parser.parse_args()
	if args.check_lib:
		lowerCAmelCase           =		importlib.import_module('''transformers''')
		lowerCAmelCase           =		Path(transformers_module.__file__).parent
	else:
		lowerCAmelCase           =		Path.cwd() / '''build/lib/transformers'''
	if not test_custom_files_are_present(transformers_path):
		raise ValueError('''The built release does not contain the custom files. Fix this before going further!''')






