



'''simple docstring'''


def 				__lowerCamelCase				(   A__    )       ->	list[list[float]]:






   """simple docstring"""
   UpperCamelCase					=  []
   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 				__lowerCamelCase				(   A__    ,						A__    )       ->	list[list[float]]:






   """simple docstring"""
   UpperCamelCase					=  []
   for dlist, weight in zip(A__    ,						A__    ):
      UpperCamelCase					=  min(A__    )
      UpperCamelCase					=  max(A__    )

      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(A__    )

      score_lists.append(A__    )

   return score_lists







def 				__lowerCamelCase				(   A__    )       ->	list[float]:






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

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

   return final_scores







def 				__lowerCamelCase				(   A__    ,						A__    )       ->	list[list[float]]:






   """simple docstring"""
   UpperCamelCase					=  get_data(A__    )
   UpperCamelCase					=  calculate_each_score(A__    ,						A__    )
   UpperCamelCase					=  generate_final_scores(A__    )

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

   return source_data






'''simple docstring'''


_lowerCamelCase	:       int      	=	"0.21.0"

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
   from .utils import rich

