
'''simple docstring'''






import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A			      =      logging.get_logger(__name__)

A			      =      {
    'Salesforce/blip-vqa-base': 'https://huggingface.co/Salesforce/blip-vqa-base/resolve/main/config.json',
    'Salesforce/blip-vqa-capfit-large': (
        'https://huggingface.co/Salesforce/blip-vqa-base-capfit/resolve/main/config.json'
    ),
    'Salesforce/blip-image-captioning-base': (
        'https://huggingface.co/Salesforce/blip-image-captioning-base/resolve/main/config.json'
    ),
    'Salesforce/blip-image-captioning-large': (
        'https://huggingface.co/Salesforce/blip-image-captioning-large/resolve/main/config.json'
    ),
    'Salesforce/blip-itm-base-coco': 'https://huggingface.co/Salesforce/blip-itm-base-coco/resolve/main/config.json',
    'Salesforce/blip-itm-large-coco': 'https://huggingface.co/Salesforce/blip-itm-large-coco/resolve/main/config.json',
    'Salesforce/blip-itm-base-flikr': 'https://huggingface.co/Salesforce/blip-itm-base-flikr/resolve/main/config.json',
    'Salesforce/blip-itm-large-flikr': (
        'https://huggingface.co/Salesforce/blip-itm-large-flikr/resolve/main/config.json'
    ),
}




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	'''blip_text_model'''
					def __init__(     self,    A=3_0524,    A=768,    A=768,    A=3072,    A=768,    A=12,    A=8,    A=512,    A="gelu",    A=1e-12,    A=0.0,    A=0.0,    A=0.02,    A=3_0522,    A=2,    A=0,    A=102,    A=True,    A=True,    **A,    ):

									"""simple docstring"""


									super().__init__(
									    pad_token_id=A,    bos_token_id=A,    eos_token_id=A,    sep_token_id=A,    **A,    )

									lowerCamelCase					:			Optional[Any]									= vocab_size
									lowerCamelCase					:			Optional[int]									= hidden_size
									lowerCamelCase					:			List[Any]									= encoder_hidden_size
									lowerCamelCase					:			Union[str, Any]									= intermediate_size
									lowerCamelCase					:			Union[str, Any]									= projection_dim
									lowerCamelCase					:			str									= hidden_dropout_prob
									lowerCamelCase					:			int									= num_hidden_layers
									lowerCamelCase					:			Any									= num_attention_heads
									lowerCamelCase					:			Tuple									= max_position_embeddings
									lowerCamelCase					:			Dict									= layer_norm_eps
									lowerCamelCase					:			int									= hidden_act
									lowerCamelCase					:			Any									= initializer_range
									lowerCamelCase					:			List[Any]									= attention_probs_dropout_prob
									lowerCamelCase					:			str									= is_decoder
									lowerCamelCase					:			Dict									= use_cache




					@classmethod
					def     UpperCAmelCase_							(     cls,    A,    **A      ):

									"""simple docstring"""


									cls._set_token_in_kwargs(A      )

									lowerCamelCase			, lowerCamelCase					:			int									= cls.get_config_dict(A,    **A      )

									# get the text config dict if we are loading from BlipConfig
									if config_dict.get('model_type'      ) == "blip":
													lowerCamelCase					:			Dict									= config_dict['text_config']

									if "model_type" in config_dict and hasattr(cls,    'model_type'      ) and config_dict["model_type"] != cls.model_type:
													logger.warning(
													    F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
													    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''      )

									return cls.from_dict(A,    **A      )





class     __snake_case		(   a__):
					_lowerCAmelCase			     =	'''blip_vision_model'''
					def __init__(     self,    A=768,    A=3072,    A=512,    A=12,    A=12,    A=384,    A=16,    A="gelu",    A=1e-5,    A=0.0,    A=1e-10,    **A,    ):

									"""simple docstring"""


									super().__init__(**A      )

									lowerCamelCase					:			Optional[int]									= hidden_size
									lowerCamelCase					:			Optional[Any]									= intermediate_size
									lowerCamelCase					:			Optional[int]									= projection_dim
									lowerCamelCase					:			Tuple									= num_hidden_layers
									lowerCamelCase					:			Union[str, Any]									= num_attention_heads
									lowerCamelCase					:			int									= patch_size
									lowerCamelCase					:			Tuple									= image_size
									lowerCamelCase					:			Any									= initializer_range
									lowerCamelCase					:			Optional[int]									= attention_dropout
									lowerCamelCase					:			str									= layer_norm_eps
									lowerCamelCase					:			int									= hidden_act




					@classmethod
					def     UpperCAmelCase_							(     cls,    A,    **A      ):

									"""simple docstring"""


									cls._set_token_in_kwargs(A      )

									lowerCamelCase			, lowerCamelCase					:			List[str]									= cls.get_config_dict(A,    **A      )

									# get the vision config dict if we are loading from BlipConfig
									if config_dict.get('model_type'      ) == "blip":
													lowerCamelCase					:			List[Any]									= config_dict['vision_config']

									if "model_type" in config_dict and hasattr(cls,    'model_type'      ) and config_dict["model_type"] != cls.model_type:
													logger.warning(
													    F'''You are using a model of type {config_dict['model_type']} to instantiate a model of type '''
													    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''      )

									return cls.from_dict(A,    **A      )





class     __snake_case		(   a__):
					_lowerCAmelCase			     =	'''blip'''
					_lowerCAmelCase			     =	True
					def __init__(     self,    A=None,    A=None,    A=512,    A=2.6592,    A=256,    **A,    ):

									"""simple docstring"""


									super().__init__(**A      )

									if text_config is None:
													lowerCamelCase					:			Optional[int]									= {}
													logger.info('`text_config` is `None`. Initializing the `BlipTextConfig` with default values.'      )

									if vision_config is None:
													lowerCamelCase					:			Tuple									= {}
													logger.info('`vision_config` is `None`. Initializing the `BlipVisionConfig` with default values.'      )

									lowerCamelCase					:			Union[str, Any]									= BlipTextConfig(**A      )
									lowerCamelCase					:			Optional[Any]									= BlipVisionConfig(**A      )

									lowerCamelCase					:			Union[str, Any]									= self.vision_config.hidden_size

									lowerCamelCase					:			Union[str, Any]									= projection_dim
									lowerCamelCase					:			int									= logit_scale_init_value
									lowerCamelCase					:			Optional[int]									= 1.0
									lowerCamelCase					:			Optional[int]									= 0.02
									lowerCamelCase					:			Dict									= image_text_hidden_size
					@classmethod
					def     UpperCAmelCase_							(     cls,    A,    A,    **A      ):

									"""simple docstring"""


									return cls(text_config=text_config.to_dict(),    vision_config=vision_config.to_dict(),    **A      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= copy.deepcopy(self.__dict__      )
									lowerCamelCase					:			Tuple									= self.text_config.to_dict()
									lowerCamelCase					:			Optional[int]									= self.vision_config.to_dict()
									lowerCamelCase					:			str									= self.__class__.model_type
									return output


'''simple docstring'''






from __future__ import annotations

A			      =      '#'




class     __snake_case		:
					def __init__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			dict									= {}
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= self._trie
									for char in text:
													if char not in trie:
																	lowerCamelCase					:			Dict									= {}
													lowerCamelCase					:			Optional[int]									= trie[char]
									lowerCamelCase					:			Optional[Any]									= True
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= self._trie
									for char in prefix:
													if char in trie:
																	lowerCamelCase					:			int									= trie[char]
													else:
																	return []
									return self._elements(A      )




					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= []
									for c, v in d.items():
													lowerCamelCase					:			Optional[Any]									= [' '] if c == END else [(c + s) for s in self._elements(A      )]
													result.extend(A      )
									return tuple(A      )





A			      =      Trie()
A			      =      ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
					trie.insert_word(word)





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Any									= trie.find_word(UpperCAmelCase__)
				return tuple(string + word for word in suffixes)





def    UpperCAmelCase							(  ):
				print(autocomplete_using_trie('de'))


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
