

"""simple docstring"""






from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_tf_available():
						import tensorflow as tf


lowerCamelCase__ :     Optional[Any]							  =     logging.get_logger(__name__)






@dataclass
class 			_UpperCAmelCase	(						_UpperCAmelCase):
			__a       :				Optional[Any]     =							[
			    """no_inference""",
			    """no_cuda""",
			    """no_tpu""",
			    """no_speed""",
			    """no_memory""",
			    """no_env_print""",
			    """no_multi_process""",
			]
			def __init__(						self					,						**_A   )			->			Any:






				'''simple docstring'''







				for deprecated_arg in self.deprecated_args:
					if deprecated_arg in kwargs:
						_UpperCAmelCase			:							Union[str, Any]	  =    deprecated_arg[3:]
						_UpperCAmelCase			:							Any	  =    not kwargs.pop(_A   )
						logger.warning(
						    f'''{deprecated_arg} is depreciated. Please use --no-{positive_arg} or'''
						    f''' {positive_arg}={kwargs[positive_arg]}'''   )
				_UpperCAmelCase			:							Union[str, Any]	  =    kwargs.pop("""tpu_name"""					,						self.tpu_name   )
				_UpperCAmelCase			:							List[Any]	  =    kwargs.pop("""device_idx"""					,						self.device_idx   )
				_UpperCAmelCase			:							str	  =    kwargs.pop("""eager_mode"""					,						self.eager_mode   )
				_UpperCAmelCase			:							Optional[int]	  =    kwargs.pop("""use_xla"""					,						self.use_xla   )
				super().__init__(**_A   )

			__a       :				List[str]     =							field(
			    default=_UpperCAmelCase			,   metadata={"""help""": """Name of TPU"""}			,   )
			__a       :				Tuple     =							field(
			    default=0			,   metadata={"""help""": """CPU / GPU device index. Defaults to 0."""}			,   )
			__a       :				List[str]     =							field(default=_UpperCAmelCase			,   metadata={"""help""": """Benchmark models in eager model."""})
			__a       :				Optional[int]     =							field(
			    default=_UpperCAmelCase			,   metadata={
			        """help""": """Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`."""
			    }			,   )
			@cached_property
			def 							__snake_case       (						self   )			->			Tuple["tf.distribute.cluster_resolver.TPUClusterResolver"]:






				'''simple docstring'''







				requires_backends(self					,						["""tf"""]   )
				_UpperCAmelCase			:							int	  =    None
				if self.tpu:
					try:
						if self.tpu_name:
							_UpperCAmelCase			:							str	  =    tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name   )
						else:
							_UpperCAmelCase			:							Union[str, Any]	  =    tf.distribute.cluster_resolver.TPUClusterResolver()
					except ValueError:
						_UpperCAmelCase			:							Optional[int]	  =    None
				return tpu
			@cached_property
			def 							__snake_case       (						self   )			->			Tuple["tf.distribute.Strategy", "tf.distribute.cluster_resolver.TPUClusterResolver"]:






				'''simple docstring'''







				requires_backends(self					,						["""tf"""]   )
				if self.is_tpu:
					tf.config.experimental_connect_to_cluster(self._setup_tpu   )
					tf.tpu.experimental.initialize_tpu_system(self._setup_tpu   )

					_UpperCAmelCase			:							Dict	  =    tf.distribute.TPUStrategy(self._setup_tpu   )
				else:
					# currently no multi gpu is allowed
					if self.is_gpu:
						# TODO: Currently only single GPU is supported
						tf.config.set_visible_devices(self.gpu_list[self.device_idx]					,						"""GPU"""   )
						_UpperCAmelCase			:							List[Any]	  =    tf.distribute.OneDeviceStrategy(device=f'''/gpu:{self.device_idx}'''   )
					else:
						tf.config.set_visible_devices([]					,						"""GPU"""   )  # disable GPU
						_UpperCAmelCase			:							Optional[Any]	  =    tf.distribute.OneDeviceStrategy(device=f'''/cpu:{self.device_idx}'''   )

				return strategy
			@property
			def 							__snake_case       (						self   )			->			bool:






				'''simple docstring'''







				requires_backends(self					,						["""tf"""]   )
				return self._setup_tpu is not None
			@property
			def 							__snake_case       (						self   )			->			"tf.distribute.Strategy":






				'''simple docstring'''







				requires_backends(self					,						["""tf"""]   )
				return self._setup_strategy
			@property
			def 							__snake_case       (						self   )			->			int:






				'''simple docstring'''







				requires_backends(self					,						["""tf"""]   )
				return tf.config.list_physical_devices("""GPU"""   )
			@property
			def 							__snake_case       (						self   )			->			int:






				'''simple docstring'''







				requires_backends(self					,						["""tf"""]   )
				if self.cuda:
					return len(self.gpu_list   )
				return 0
			@property
			def 							__snake_case       (						self   )			->			bool:






				'''simple docstring'''







				return self.n_gpu > 0












"""simple docstring"""





SCREAMING_SNAKE_CASE__					=   {
    "A": ".-", "B": "-...", "C": "-.-.", "D": "-..", "E": ".", "F": "..-.", "G": "--.",
    "H": "....", "I": "..", "J": ".---", "K": "-.-", "L": ".-..", "M": "--", "N": "-.",
    "O": "---", "P": ".--.", "Q": "--.-", "R": ".-.", "S": "...", "T": "-", "U": "..-",
    "V": "...-", "W": ".--", "X": "-..-", "Y": "-.--", "Z": "--..", "1": ".----",
    "2": "..---", "3": "...--", "4": "....-", "5": ".....", "6": "-....", "7": "--...",
    "8": "---..", "9": "----.", "0": "-----", "&": ".-...", "@": ".--.-.",
    ":": "---...", ",": "--..--", ".": ".-.-.-", "'": ".----.", "\"": ".-..-.",
    "?": "..--..", "/": "-..-.", "=": "-...-", "+": ".-.-.", "-": "-....-",
    "(": "-.--.", ")": "-.--.-", "!": "-.-.--", " ": "/"
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
SCREAMING_SNAKE_CASE__					=   {value: key for key, value in MORSE_CODE_DICT.items()}


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						str			):







      '''simple docstring'''




      return " ".join(MORSE_CODE_DICT[char] for char in message.upper()			)


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						str			):







      '''simple docstring'''




      return "".join(REVERSE_DICT[char] for char in message.split()			)


def 			UpperCAmelCase__							(  ):







      '''simple docstring'''




      lowerCAmelCase  						=       """Morse code here!"""
      print(SCREAMING_SNAKE_CASE			)
      lowerCAmelCase  						=       encrypt(SCREAMING_SNAKE_CASE			)
      print(SCREAMING_SNAKE_CASE			)
      lowerCAmelCase  						=       decrypt(SCREAMING_SNAKE_CASE			)
      print(SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
       main()






