

"""simple docstring"""




from typing import TYPE_CHECKING

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


__UpperCAmelCase	=			{'configuration_gptj': ['GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTJConfig', 'GPTJOnnxConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCAmelCase	=			[
						    'GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'GPTJForCausalLM',
						    'GPTJForQuestionAnswering',
						    'GPTJForSequenceClassification',
						    'GPTJModel',
						    'GPTJPreTrainedModel',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCAmelCase	=			[
						    'TFGPTJForCausalLM',
						    'TFGPTJForQuestionAnswering',
						    'TFGPTJForSequenceClassification',
						    'TFGPTJModel',
						    'TFGPTJPreTrainedModel',
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCAmelCase	=			[
						    'FlaxGPTJForCausalLM',
						    'FlaxGPTJModel',
						    'FlaxGPTJPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig, GPTJOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_gptj import (
												    GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GPTJForCausalLM,
												    GPTJForQuestionAnswering,
												    GPTJForSequenceClassification,
												    GPTJModel,
												    GPTJPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_gptj import (
												    TFGPTJForCausalLM,
												    TFGPTJForQuestionAnswering,
												    TFGPTJForSequenceClassification,
												    TFGPTJModel,
												    TFGPTJPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel

else:
						import sys

						__UpperCAmelCase	=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








"""simple docstring"""




def 					lowerCAmelCase  (   __UpperCamelCase ):
 '''simple docstring'''





 UpperCAmelCase__   :					Union[str, Any]   				=   1
 UpperCAmelCase__   :					Union[str, Any]   				=   0
 UpperCAmelCase__   :					List[str]   				=   1
 UpperCAmelCase__   :					Any   				=   1
 UpperCAmelCase__   :					Optional[int]   				=   3
 UpperCAmelCase__   :					Any   				=   3
 UpperCAmelCase__   :					Optional[Any]   				=   limit
 UpperCAmelCase__   :					Dict   				=   0

 UpperCAmelCase__   :					int   				=   """"""
 while counter != decimal + 1:
  if 4 * q + r - t < n * t:
   result += str(__UpperCamelCase )
   if counter == 0:
    result += "."

   if decimal == counter:
    break

   counter += 1
   UpperCAmelCase__   :					Union[str, Any]   				=   10 * (r - n * t)
   UpperCAmelCase__   :					int   				=   ((10 * (3 * q + r)) // t) - 10 * n
   q *= 10
   UpperCAmelCase__   :					str   				=   nr
  else:
   UpperCAmelCase__   :					List[str]   				=   (2 * q + r) * l
   UpperCAmelCase__   :					Union[str, Any]   				=   (q * (7 * k) + 2 + (r * l)) // (t * l)
   q *= k
   t *= l
   l += 2
   k += 1
   UpperCAmelCase__   :					Optional[Any]   				=   nn
   UpperCAmelCase__   :					str   				=   nr
 return result
def 					lowerCAmelCase  (   ):
 '''simple docstring'''





 print(F"{calculate_pi(50 ) = }" )
 import doctest

 doctest.testmod()


if __name__ == "__main__":
      main()





