
import os

import pytest
from attr import dataclass


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



@dataclass
class 		UpperCamelCase__  :
   _SCREAMING_SNAKE_CASE				:							str
   _SCREAMING_SNAKE_CASE				:							Optional[int]     	=				"arn:aws:iam::558105141721:role/sagemaker_execution_role"
   _SCREAMING_SNAKE_CASE				:							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,
   }
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				{**hyperparameters, "max_steps": 1_000}
   @property
   def 				lowerCAmelCase      (self			: int       ):
    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 				lowerCAmelCase      (self			: Union[str, Any]       ):
    return f"{self.framework}-transfromers-test"
   @property
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    return f"./tests/sagemaker/scripts/{self.framework}"







   @property
   def 				lowerCAmelCase      (self			: Tuple       ):
    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        __UpperCamelCase					(    lowerCAmelCase__							:    List[Any]  ):
 __a			:  List[Any]		    =  SageMakerTestEnvironment(framework=request.cls.framework  )


from math import pi, sqrt




def        __UpperCamelCase					(    lowerCAmelCase__							:    float  ):
 if num <= 0:
  raise ValueError('''math domain error'''  )
 if num > 1_71.5:
  raise OverflowError('''math range error'''  )
 elif num - int(lowerCAmelCase__  ) not in (0, 0.5):
  raise NotImplementedError('''num must be an integer or a half-integer'''  )
 elif num == 0.5:
  return sqrt(lowerCAmelCase__  )
 else:
  return 1.0 if num == 1 else (num - 1) * gamma(num - 1  )




def        __UpperCamelCase					(    ):
 assert gamma(0.5  ) == sqrt(lowerCAmelCase__  )
 assert gamma(1  ) == 1.0
 assert gamma(2  ) == 1.0


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      lowercase__          =1.0
      while num:
            lowercase__          =float(input('Gamma of: '))
            print(F"""gamma({num}) = {gamma(num)}""")
            print('\nEnter 0 to exit...')
