"""simple docstring"""



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__:Any		       =       {
    """configuration_layoutlmv2""": ["""LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LayoutLMv2Config"""],
    """processing_layoutlmv2""": ["""LayoutLMv2Processor"""],
    """tokenization_layoutlmv2""": ["""LayoutLMv2Tokenizer"""],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE__:Tuple		       =       ["""LayoutLMv2TokenizerFast"""]

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE__:List[Any]		       =       ["""LayoutLMv2FeatureExtractor"""]
   SCREAMING_SNAKE_CASE__:Dict		       =       ["""LayoutLMv2ImageProcessor"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE__:Tuple		       =       [
       """LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """LayoutLMv2ForQuestionAnswering""",
       """LayoutLMv2ForSequenceClassification""",
       """LayoutLMv2ForTokenClassification""",
       """LayoutLMv2Layer""",
       """LayoutLMv2Model""",
       """LayoutLMv2PreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
   from .processing_layoutlmva import LayoutLMvaProcessor
   from .tokenization_layoutlmva import LayoutLMvaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_layoutlmva import (
          LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
          LayoutLMvaForQuestionAnswering,
          LayoutLMvaForSequenceClassification,
          LayoutLMvaForTokenClassification,
          LayoutLMvaLayer,
          LayoutLMvaModel,
          LayoutLMvaPreTrainedModel,
      )
else:
   import sys

   SCREAMING_SNAKE_CASE__:Tuple		       =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




"""simple docstring"""




def        lowercase							(		lowerCAmelCase__ :     str			) ->      list:
		if n_term == "":
				return []
		__a           =			[]
		for temp in range(int(lowerCAmelCase__			)			):
				series.append(f'''1/{temp + 1}''' if series else '''1'''			)
		return series


if __name__ == "__main__":
				lowercase_			     =  input("Enter the last number (nth term) of the Harmonic Series")
				print("Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n")
				print(harmonic_series(nth_term))






