

def 					__lowercase      (     _A			)     ->						list[list[float]]:
      SCREAMING_SNAKE_CASE :      list[list[float]]       =   []
      for data in source_data:
            for i, el in enumerate(_A			):
                  if len(_A			) < i + 1:
                        data_lists.append([]			)
                  data_lists[i].append(float(_A			)			)
      return data_lists






def 					__lowercase      (     _A						,    _A			)     ->						list[list[float]]:
      SCREAMING_SNAKE_CASE :      list[list[float]]       =   []
      for dlist, weight in zip(_A						,    _A			):
            SCREAMING_SNAKE_CASE :      Optional[Any]       =   min(_A			)
            SCREAMING_SNAKE_CASE :      Dict       =   max(_A			)

            SCREAMING_SNAKE_CASE :      list[float]       =   []
            # for weight 0 score is 1 - actual score
            if weight == 0:
                  for item in dlist:
                        try:
                              score.append(1 - ((item - mind) / (maxd - mind))			)
                        except ZeroDivisionError:
                              score.append(1			)

            elif weight == 1:
                  for item in dlist:
                        try:
                              score.append((item - mind) / (maxd - mind)			)
                        except ZeroDivisionError:
                              score.append(0			)

        # weight not 0 or 1
            else:
                  SCREAMING_SNAKE_CASE :      List[str]       =   F"Invalid weight of {weight:f} provided"
                  raise ValueError(_A			)

            score_lists.append(_A			)

      return score_lists






def 					__lowercase      (     _A			)     ->						list[float]:
      SCREAMING_SNAKE_CASE :      list[float]       =   [0 for i in range(len(score_lists[0]			)			)]

      for slist in score_lists:
            for j, ele in enumerate(_A			):
                  SCREAMING_SNAKE_CASE :      Optional[int]       =   final_scores[j] + ele

      return final_scores







def 					__lowercase      (     _A						,    _A			)     ->						list[list[float]]:
      SCREAMING_SNAKE_CASE :      List[str]       =   get_data(_A			)
      SCREAMING_SNAKE_CASE :      Dict       =   calculate_each_score(_A						,    _A			)
      SCREAMING_SNAKE_CASE :      Union[str, Any]       =   generate_final_scores(_A			)

      # append scores to source data
      for i, ele in enumerate(_A			):
            source_data[i].append(_A			)

      return source_data







from typing import TYPE_CHECKING

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


UpperCAmelCase__ :     str				    =    {"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
  if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__ :     Any				    =    ["""LayoutXLMTokenizer"""]

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__ :     List[str]				    =    ["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
  from .processing_layoutxlm import LayoutXLMProcessor

  try:
    if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_layoutxlm import LayoutXLMTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
  import sys

  UpperCAmelCase__ :     List[str]				    =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




