
def   lowerCamelCase__							(							__lowerCAmelCase    :    list[list[float]]							):




			"""simple docstring"""


			lowerCAmelCase_         =      []
			for data in source_data:
						for i, el in enumerate(_snake_case							):
									if len(_snake_case							) < i + 1:
												data_lists.append([]							)
									data_lists[i].append(float(_snake_case							)							)
			return data_lists






def   lowerCamelCase__							(							__lowerCAmelCase    :    list[list[float]]       ,				__lowerCAmelCase    :    list[int]							):




			"""simple docstring"""


			lowerCAmelCase_         =      []
			for dlist, weight in zip(_snake_case       ,				_snake_case							):
						lowerCAmelCase_         =      min(_snake_case							)
						lowerCAmelCase_         =      max(_snake_case							)

						lowerCAmelCase_         =      []
						# 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:
									lowerCAmelCase_         =      F"""Invalid weight of {weight:f} provided"""
									raise ValueError(_snake_case							)

						score_lists.append(_snake_case							)

			return score_lists






def   lowerCamelCase__							(							__lowerCAmelCase    :    list[list[float]]							):




			"""simple docstring"""


			lowerCAmelCase_         =      [0 for i in range(len(score_lists[0]							)							)]

			for slist in score_lists:
						for j, ele in enumerate(_snake_case							):
									lowerCAmelCase_         =      final_scores[j] + ele

			return final_scores






def   lowerCamelCase__							(							__lowerCAmelCase    :    list[list[float]]       ,				__lowerCAmelCase    :    list[int]							):




			"""simple docstring"""


			lowerCAmelCase_         =      get_data(_snake_case							)
			lowerCAmelCase_         =      calculate_each_score(_snake_case       ,				_snake_case							)
			lowerCAmelCase_         =      generate_final_scores(_snake_case							)

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

			return source_data








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__          =  {
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__          =  [
     "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ClapModel",
     "ClapPreTrainedModel",
     "ClapTextModel",
     "ClapTextModelWithProjection",
     "ClapAudioModel",
     "ClapAudioModelWithProjection",
 ]
 SCREAMING_SNAKE_CASE__          =  ["ClapFeatureExtractor"]

if TYPE_CHECKING:
 from .configuration_clap import (
     CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
     ClapAudioConfig,
     ClapConfig,
     ClapTextConfig,
 )
 from .processing_clap import ClapProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_clap import ClapFeatureExtractor
  from .modeling_clap import (
      CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
      ClapAudioModel,
      ClapAudioModelWithProjection,
      ClapModel,
      ClapPreTrainedModel,
      ClapTextModel,
      ClapTextModelWithProjection,
  )


else:
 import sys

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




