






"""simple docstring"""





from hashlib import mda, shaaaa

UpperCamelCase			=      (shaaaa, mda)







class 		_a       :





   '''simple docstring'''






   def __init__(   self			,				UpperCAmelCase_ = 8)	-> None:




          '''simple docstring'''




          lowercase__:    Tuple        =      0B0
          lowercase__:    Union[str, Any]        =      size





   def __lowercase    (   self			,				UpperCAmelCase_)	-> None:




          '''simple docstring'''




          lowercase__:    Optional[Any]        =      self.hash_(UpperCAmelCase_)
          self.bitarray |= h





   def __lowercase    (   self			,				UpperCAmelCase_)	-> bool:




          '''simple docstring'''




          lowercase__:    Dict        =      self.hash_(UpperCAmelCase_)
          return (h & self.bitarray) == h





   def __contains__(   self			,				UpperCAmelCase_)	-> bool:




          '''simple docstring'''




          return self.exists(UpperCAmelCase_)





   def __lowercase    (   self			,				UpperCAmelCase_)	-> str:




          '''simple docstring'''




          lowercase__:    List[str]        =      bin(UpperCAmelCase_)[2:]
          return res.zfill(self.size)





   @property
   def __lowercase    (   self)	-> str:




          '''simple docstring'''




          return self.format_bin(self.bitarray)





   def __lowercase    (   self			,				UpperCAmelCase_)	-> int:




          '''simple docstring'''




          lowercase__:    str        =      0B0
          for func in HASH_FUNCTIONS:
                 lowercase__:    Any        =      (
                     int.from_bytes(func(value.encode()).digest()			,				"little") % self.size
                 )
                 res |= 2**position
          return res





   def __lowercase    (   self			,				UpperCAmelCase_)	-> str:




          '''simple docstring'''




          return self.format_bin(self.hash_(UpperCAmelCase_))





   @property
   def __lowercase    (   self)	-> float:




          '''simple docstring'''




          lowercase__:    Any        =      bin(self.bitarray).count("1")
          return (n_ones / self.size) ** len(UpperCAmelCase_)














"""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 ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCamelCase			=      {
    """agents""": ["""Agent""", """AzureOpenAiAgent""", """HfAgent""", """LocalAgent""", """OpenAiAgent"""],
    """base""": ["""PipelineTool""", """RemoteTool""", """Tool""", """launch_gradio_demo""", """load_tool"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase			=      ["""DocumentQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageCaptioningTool"""]
  UpperCamelCase			=      ["""ImageQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageSegmentationTool"""]
  UpperCamelCase			=      ["""SpeechToTextTool"""]
  UpperCamelCase			=      ["""TextClassificationTool"""]
  UpperCamelCase			=      ["""TextQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""TextSummarizationTool"""]
  UpperCamelCase			=      ["""TextToSpeechTool"""]
  UpperCamelCase			=      ["""TranslationTool"""]

if TYPE_CHECKING:
  from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
  from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .document_question_answering import DocumentQuestionAnsweringTool
    from .image_captioning import ImageCaptioningTool
    from .image_question_answering import ImageQuestionAnsweringTool
    from .image_segmentation import ImageSegmentationTool
    from .speech_to_text import SpeechToTextTool
    from .text_classification import TextClassificationTool
    from .text_question_answering import TextQuestionAnsweringTool
    from .text_summarization import TextSummarizationTool
    from .text_to_speech import TextToSpeechTool
    from .translation import TranslationTool
else:
  import sys

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






