
"""simple docstring"""


from __future__ import annotations



def 	lowerCamelCase__			(							UpperCAmelCase_		,      UpperCAmelCase_				)->							list[str]:







       """simple docstring"""
       if nth_term == "":
              return [""]
       UpperCamelCase					 =		int(UpperCAmelCase_				)
       UpperCamelCase					 =		int(UpperCAmelCase_				)
       UpperCamelCase					 =		[]
       for temp in range(int(UpperCAmelCase_				)				):
              series.append(F"1 / {pow(temp + 1		,      int(UpperCAmelCase_				)				)}" if series else "1"				)
       return series


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      SCREAMING_SNAKE_CASE      =     int(input("""Enter the last number (nth term) of the P-Series"""))
      SCREAMING_SNAKE_CASE      =     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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE      =     {
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE      =     [
          """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """GraphormerForGraphClassification""",
          """GraphormerModel""",
          """GraphormerPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_graphormer import (
                GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                GraphormerForGraphClassification,
                GraphormerModel,
                GraphormerPreTrainedModel,
            )


else:
      import sys

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





