






'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__A							:							Any  							=		{
    """configuration_blenderbot_small""": [
        """BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlenderbotSmallConfig""",
        """BlenderbotSmallOnnxConfig""",
    ],
    """tokenization_blenderbot_small""": ["""BlenderbotSmallTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							List[Any]  							=		["""BlenderbotSmallTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							str  							=		[
     """BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """BlenderbotSmallForCausalLM""",
     """BlenderbotSmallForConditionalGeneration""",
     """BlenderbotSmallModel""",
     """BlenderbotSmallPreTrainedModel""",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							int  							=		[
     """TFBlenderbotSmallForConditionalGeneration""",
     """TFBlenderbotSmallModel""",
     """TFBlenderbotSmallPreTrainedModel""",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:							List[str]  							=		[
     """FlaxBlenderbotSmallForConditionalGeneration""",
     """FlaxBlenderbotSmallModel""",
     """FlaxBlenderbotSmallPreTrainedModel""",
 ]

if TYPE_CHECKING:
 from .configuration_blenderbot_small import (
     BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BlenderbotSmallConfig,
     BlenderbotSmallOnnxConfig,
 )
 from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_blenderbot_small import (
      BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
      BlenderbotSmallForCausalLM,
      BlenderbotSmallForConditionalGeneration,
      BlenderbotSmallModel,
      BlenderbotSmallPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_blenderbot_small import (
      TFBlenderbotSmallForConditionalGeneration,
      TFBlenderbotSmallModel,
      TFBlenderbotSmallPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_blenderbot_small import (
      FlaxBlenderbotSmallForConditionalGeneration,
      FlaxBlenderbotSmallModel,
      FlaxBlenderbotSmallPreTrainedModel,
  )

else:
 import sys

 __A							:							Union[str, Any]  							=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









'''simple docstring'''





from __future__ import annotations






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 lowerCamelCase__  =     list(range(len(lowercase__)))
 lowerCamelCase__  =     [v / w for v, w in zip(lowercase__				,     lowercase__)]
 index.sort(key=lambda lowercase__: ratio[i]				,     reverse=lowercase__)

 lowerCamelCase__  =     0
 lowerCamelCase__  =     [0] * len(lowercase__)
 for i in index:
  if weight[i] <= capacity:
   lowerCamelCase__  =     1
   max_value += value[i]
   capacity -= weight[i]
  else:
   lowerCamelCase__  =     capacity / weight[i]
   max_value += value[i] * capacity / weight[i]
   break

 return max_value, fractions


if __name__ == "__main__":
 import doctest

 doctest.testmod()

