


'''simple docstring'''

from collections import deque

from .hash_table import HashTable
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						List[str]  ,					*_A		:						Dict  ,					**_A		:						Dict      )  ->			int:
			super().__init__(*_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						Tuple  ,					_A		:						List[Any]  ,					_A		:						Optional[int]      )  ->			Tuple:
			__magic_name__	:   List[str]					     =					deque([]      ) if self.values[key] is None else self.values[key]
			self.values[key].appendleft(_A      )
			__magic_name__	:   Union[str, Any]					     =					self.values[key]







		def        __lowerCAmelCase		( self		:						List[str]      )  ->			Tuple:
			return (
			    sum(self.charge_factor - len(_A      ) for slot in self.values      )
			    / self.size_table
			    * self.charge_factor
			)







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						Union[str, Any]  ,					_A		:						int=None      )  ->			List[str]:
			if not (
			    len(self.values[key]      ) == self.charge_factor and self.values.count(_A      ) == 0
			):
				return key
			return super()._collision_resolution(_A  ,					_A      )



'''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 _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      Any				   =    """Salesforce/blip-image-captioning-base"""
		A_     :      Any				   =    (
		    """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."""
		)
		A_     :      List[str]				   =    """image_captioner"""
		A_     :      Optional[Any]				   =    AutoModelForVisionaSeq

		A_     :      Any				   =    ["""image"""]
		A_     :      Union[str, Any]				   =    ["""text"""]







		def __init__( self		:						Dict  ,					*_A		:						Dict  ,					**_A		:						Any      )  ->			Dict:
			requires_backends(self  ,					['vision']      )
			super().__init__(*_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						Tuple  ,					_A		:						"Image"      )  ->			Union[str, Any]:
			return self.pre_processor(images=_A  ,					return_tensors='pt'      )







		def        __lowerCAmelCase		( self		:						Optional[Any]  ,					_A		:						str      )  ->			List[Any]:
			return self.model.generate(**_A      )







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						Optional[int]      )  ->			Union[str, Any]:
			return self.pre_processor.batch_decode(_A  ,					skip_special_tokens=_A      )[0].strip()