




"""simple docstring"""


from __future__ import annotations


def  UpperCAmelCase__	(snake_case__							: int | float | str		,       snake_case__							: int | float | str   ):
  """simple docstring"""

  if nth_term == "":
    return [""]
  _snake_case							:		Any								=  int(snake_case__   )
  _snake_case							:		Optional[Any]								=  int(snake_case__   )
  _snake_case							:		list[str]								=  []
  for temp in range(int(snake_case__   )   ):
    series.append(F"1 / {pow(temp + 1		,       int(snake_case__   )   )}" if series else """1"""   )
  return series


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     A_      =    int(input('''Enter the last number (nth term) of the P-Series'''))
     A_      =    int(input('''Enter the power for  P-Series'''))
     print('''Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p''')
     print(p_series(nth_term, power))








"""simple docstring"""


from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)


