






'''simple docstring'''

from __future__ import annotations

import math







def    lowercase__			(				__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase   )->			int:

      if depth < 0:
            raise ValueError("""Depth cannot be less than 0"""   )

      if not scores:
            raise ValueError("""Scores cannot be empty"""   )

      if depth == height:
            return scores[node_index]

      return (
          max(
              minimax(depth + 1		,						node_index * 2		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase   )		,						minimax(depth + 1		,						node_index * 2 + 1		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase   )		,						)
          if is_max
          else min(
              minimax(depth + 1		,						node_index * 2		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase   )		,						minimax(depth + 1		,						node_index * 2 + 1		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase   )		,						)
      )







def    lowercase__			(				)->			None:
      UpperCamelCase      = [90, 23, 6, 33, 21, 65, 123, 34423]
      UpperCamelCase      = math.log(len(__UpperCamelCase   )		,						2   )
      print(F"Optimal value : {minimax(0		,						0		,						__UpperCamelCase		,						__UpperCamelCase		,						__UpperCamelCase   )}"   )


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()










'''simple docstring'''

# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
     from PIL import Image






class     a_						(      lowerCamelCase    ):
  lowercase							=				"""Salesforce/blip-image-captioning-base"""
  lowercase							=				(
      """This is a tool that generates a description of an image. It takes an input named `image` which should be the """
      """image to caption, and returns a text that contains the description in English."""
  )
  lowercase							=				"""image_captioner"""
  lowercase							=				AutoModelForVisionaSeq

  lowercase							=				["""image"""]
  lowercase							=				["""text"""]

  def __init__(				self      ,		*_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE				)  ->				Any:



        """simple docstring"""






        requires_backends(self      ,		["""vision"""]				)
        super().__init__(*_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE				)

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				str:



        """simple docstring"""






        return self.pre_processor(images=_SCREAMING_SNAKE_CASE      ,		return_tensors="""pt"""				)

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				str:



        """simple docstring"""






        return self.model.generate(**_SCREAMING_SNAKE_CASE				)


  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				Union[str, Any]:



        """simple docstring"""






        return self.pre_processor.batch_decode(_SCREAMING_SNAKE_CASE      ,		skip_special_tokens=_SCREAMING_SNAKE_CASE				)[0].strip()
