
def    A (      lowercase				)     ->						list[list[float]]:
		'''simple docstring'''

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


def    A (      lowercase					, lowercase				)     ->						list[list[float]]:
		'''simple docstring'''

		UpperCamelCase						=  []
		for dlist, weight in zip(lowercase					, lowercase				):
				UpperCamelCase						=  min(lowercase				)
				UpperCamelCase						=  max(lowercase				)

				UpperCamelCase						=  []
				# 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:
						UpperCamelCase						=  f'''Invalid weight of {weight:f} provided'''
						raise ValueError(lowercase				)

				score_lists.append(lowercase				)

		return score_lists


def    A (      lowercase				)     ->						list[float]:
		'''simple docstring'''

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

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

		return final_scores


def    A (      lowercase					, lowercase				)     ->						list[list[float]]:
		'''simple docstring'''

		UpperCamelCase						=  get_data(lowercase				)
		UpperCamelCase						=  calculate_each_score(lowercase					, lowercase				)
		UpperCamelCase						=  generate_final_scores(lowercase				)

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

		return source_data


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase      :				Union[str, Any]          = {
    "configuration_git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitVisionConfig"],
    "processing_git": ["GitProcessor"],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase      :				Dict          = [
					    "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "GitForCausalLM",
					    "GitModel",
					    "GitPreTrainedModel",
					    "GitVisionModel",
					]

if TYPE_CHECKING:
					from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
					from .processing_git import GitProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_git import (
										    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GitForCausalLM,
										    GitModel,
										    GitPreTrainedModel,
										    GitVisionModel,
										)

else:
					import sys

					_UpperCAmelCase      :				int          = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
