






'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCAmelCase							={
    'configuration_openai': ['OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OpenAIGPTConfig'],
    'tokenization_openai': ['OpenAIGPTTokenizer'],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase							=['OpenAIGPTTokenizerFast']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase							=[
						    'OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'OpenAIGPTDoubleHeadsModel',
						    'OpenAIGPTForSequenceClassification',
						    'OpenAIGPTLMHeadModel',
						    'OpenAIGPTModel',
						    'OpenAIGPTPreTrainedModel',
						    'load_tf_weights_in_openai_gpt',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase							=[
						    'TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFOpenAIGPTDoubleHeadsModel',
						    'TFOpenAIGPTForSequenceClassification',
						    'TFOpenAIGPTLMHeadModel',
						    'TFOpenAIGPTMainLayer',
						    'TFOpenAIGPTModel',
						    'TFOpenAIGPTPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig
						from .tokenization_openai import OpenAIGPTTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_openai_fast import OpenAIGPTTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_openai import (
												    OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    OpenAIGPTDoubleHeadsModel,
												    OpenAIGPTForSequenceClassification,
												    OpenAIGPTLMHeadModel,
												    OpenAIGPTModel,
												    OpenAIGPTPreTrainedModel,
												    load_tf_weights_in_openai_gpt,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_openai import (
												    TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFOpenAIGPTDoubleHeadsModel,
												    TFOpenAIGPTForSequenceClassification,
												    TFOpenAIGPTLMHeadModel,
												    TFOpenAIGPTMainLayer,
												    TFOpenAIGPTModel,
												    TFOpenAIGPTPreTrainedModel,
												)

else:
						import sys

						__lowerCAmelCase							=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









'''simple docstring'''
def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 9 / 5) + 3_2					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round(float(_UpperCAmelCase ) + 2_7_3.1_5					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 9 / 5) + 4_9_1.6_7					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) - 3_2) * 5 / 9					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round(((float(_UpperCAmelCase ) - 3_2) * 5 / 9) + 2_7_3.1_5					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round(float(_UpperCAmelCase ) + 4_5_9.6_7					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round(float(_UpperCAmelCase ) - 2_7_3.1_5					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round(((float(_UpperCAmelCase ) - 2_7_3.1_5) * 9 / 5) + 3_2					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 9 / 5)					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) - 4_9_1.6_7) * 5 / 9					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round(float(_UpperCAmelCase ) - 4_5_9.6_7					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 5 / 9)					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 1.2_5 + 2_7_3.1_5)					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 2.2_5 + 3_2)					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 1.2_5)					,  _UpperCAmelCase )

def 							a	(   _UpperCAmelCase					,  _UpperCAmelCase = 2 )				->				float:






					"""simple docstring"""







					return round((float(_UpperCAmelCase ) * 2.2_5 + 3_2 + 4_5_9.6_7)					,  _UpperCAmelCase )


if __name__ == "__main__":
						import doctest

						doctest.testmod()

