


def 			_lowerCAmelCase						(							lowerCAmelCase_							:list							)->bool:
   '''simple docstring'''






   if not isinstance(lowerCAmelCase_		,						lowerCAmelCase_							):
      raise ValueError("Input series is not valid, valid series - [1, 2/3, 2]"							)
   if len(lowerCAmelCase_							) == 0:
      raise ValueError("Input list must be a non empty list"							)
   if len(lowerCAmelCase_							) == 1 and series[0] != 0:
      return True
   snake_case_					    =					[]
   snake_case_					    =					len(lowerCAmelCase_							)
   for i in range(0		,						lowerCAmelCase_							):
      if series[i] == 0:
         raise ValueError("Input series cannot have 0 as an element"							)
      rec_series.append(1 / series[i]							)
   snake_case_					    =					rec_series[1] - rec_series[0]
   for index in range(2		,						lowerCAmelCase_							):
      if rec_series[index] - rec_series[index - 1] != common_diff:
         return False
   return True



def 			_lowerCAmelCase						(							lowerCAmelCase_							:list							)->float:
   '''simple docstring'''






   if not isinstance(lowerCAmelCase_		,						lowerCAmelCase_							):
      raise ValueError("Input series is not valid, valid series - [2, 4, 6]"							)
   if len(lowerCAmelCase_							) == 0:
      raise ValueError("Input list must be a non empty list"							)
   snake_case_					    =					0
   for val in series:
      answer += 1 / val
   return len(lowerCAmelCase_							) / answer


if __name__ == "__main__":
   import doctest

   doctest.testmod()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE	:List[str]  		=     {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE	:List[str]  		=     [
       '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ProphetNetDecoder''',
       '''ProphetNetEncoder''',
       '''ProphetNetForCausalLM''',
       '''ProphetNetForConditionalGeneration''',
       '''ProphetNetModel''',
       '''ProphetNetPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
   from .tokenization_prophetnet import ProphetNetTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_prophetnet import (
          PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
          ProphetNetDecoder,
          ProphetNetEncoder,
          ProphetNetForCausalLM,
          ProphetNetForConditionalGeneration,
          ProphetNetModel,
          ProphetNetPreTrainedModel,
      )

else:
   import sys

   SCREAMING_SNAKE_CASE	:int  		=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




