
import copy
import os
from typing import Union

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


_snake_case      = logging.get_logger(__name__)

_snake_case      = {
    '''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       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					List[Any]       						="blip_text_model"

 def __init__(						self			:			Union[str, Any]					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=3_05_24					, SCREAMING_SNAKE_CASE__			:			Dict=7_68					, SCREAMING_SNAKE_CASE__			:			List[Any]=7_68					, SCREAMING_SNAKE_CASE__			:			List[Any]=30_72					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=7_68					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=12					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=8					, SCREAMING_SNAKE_CASE__			:			Tuple=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]="gelu"					, SCREAMING_SNAKE_CASE__			:			Tuple=1e-12					, SCREAMING_SNAKE_CASE__			:			Optional[Any]=0.0					, SCREAMING_SNAKE_CASE__			:			int=0.0					, SCREAMING_SNAKE_CASE__			:			Optional[int]=0.02					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=3_05_22					, SCREAMING_SNAKE_CASE__			:			Any=2					, SCREAMING_SNAKE_CASE__			:			Optional[int]=0					, SCREAMING_SNAKE_CASE__			:			Any=1_02					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=True					, SCREAMING_SNAKE_CASE__			:			Dict=True					, **SCREAMING_SNAKE_CASE__			:			List[str]					, ):






      """simple docstring"""



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

      UpperCamelCase						    =					vocab_size
      UpperCamelCase						    =					hidden_size
      UpperCamelCase						    =					encoder_hidden_size
      UpperCamelCase						    =					intermediate_size
      UpperCamelCase						    =					projection_dim
      UpperCamelCase						    =					hidden_dropout_prob
      UpperCamelCase						    =					num_hidden_layers
      UpperCamelCase						    =					num_attention_heads
      UpperCamelCase						    =					max_position_embeddings
      UpperCamelCase						    =					layer_norm_eps
      UpperCamelCase						    =					hidden_act
      UpperCamelCase						    =					initializer_range
      UpperCamelCase						    =					attention_probs_dropout_prob
      UpperCamelCase						    =					is_decoder
      UpperCamelCase						    =					use_cache






 @classmethod
 def      __lowerCAmelCase  (						cls			:			str					, SCREAMING_SNAKE_CASE__			:			Union[str, os.PathLike]					, **SCREAMING_SNAKE_CASE__			:			int   ):






      """simple docstring"""



      cls._set_token_in_kwargs(SCREAMING_SNAKE_CASE__   )

      UpperCamelCase    ,		UpperCamelCase						    =					cls.get_config_dict(SCREAMING_SNAKE_CASE__					, **SCREAMING_SNAKE_CASE__   )

      # get the text config dict if we are loading from BlipConfig
      if config_dict.get('model_type'   ) == "blip":
           UpperCamelCase						    =					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(SCREAMING_SNAKE_CASE__					, **SCREAMING_SNAKE_CASE__   )




class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					int       						="blip_vision_model"

 def __init__(						self			:			Union[str, Any]					, SCREAMING_SNAKE_CASE__			:			Any=7_68					, SCREAMING_SNAKE_CASE__			:			Any=30_72					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=5_12					, SCREAMING_SNAKE_CASE__			:			Any=12					, SCREAMING_SNAKE_CASE__			:			Dict=12					, SCREAMING_SNAKE_CASE__			:			int=3_84					, SCREAMING_SNAKE_CASE__			:			str=16					, SCREAMING_SNAKE_CASE__			:			Any="gelu"					, SCREAMING_SNAKE_CASE__			:			Any=1e-5					, SCREAMING_SNAKE_CASE__			:			int=0.0					, SCREAMING_SNAKE_CASE__			:			Optional[int]=1e-10					, **SCREAMING_SNAKE_CASE__			:			Optional[int]					, ):






      """simple docstring"""



      super().__init__(**SCREAMING_SNAKE_CASE__   )

      UpperCamelCase						    =					hidden_size
      UpperCamelCase						    =					intermediate_size
      UpperCamelCase						    =					projection_dim
      UpperCamelCase						    =					num_hidden_layers
      UpperCamelCase						    =					num_attention_heads
      UpperCamelCase						    =					patch_size
      UpperCamelCase						    =					image_size
      UpperCamelCase						    =					initializer_range
      UpperCamelCase						    =					attention_dropout
      UpperCamelCase						    =					layer_norm_eps
      UpperCamelCase						    =					hidden_act






 @classmethod
 def      __lowerCAmelCase  (						cls			:			List[str]					, SCREAMING_SNAKE_CASE__			:			Union[str, os.PathLike]					, **SCREAMING_SNAKE_CASE__			:			Optional[int]   ):






      """simple docstring"""



      cls._set_token_in_kwargs(SCREAMING_SNAKE_CASE__   )

      UpperCamelCase    ,		UpperCamelCase						    =					cls.get_config_dict(SCREAMING_SNAKE_CASE__					, **SCREAMING_SNAKE_CASE__   )

      # get the vision config dict if we are loading from BlipConfig
      if config_dict.get('model_type'   ) == "blip":
           UpperCamelCase						    =					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(SCREAMING_SNAKE_CASE__					, **SCREAMING_SNAKE_CASE__   )




class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					Optional[Any]       						="blip"
 SCREAMING_SNAKE_CASE_				:					Optional[Any]       						=True

 def __init__(						self			:			Union[str, Any]					, SCREAMING_SNAKE_CASE__			:			Optional[int]=None					, SCREAMING_SNAKE_CASE__			:			Tuple=None					, SCREAMING_SNAKE_CASE__			:			str=5_12					, SCREAMING_SNAKE_CASE__			:			str=2.6592					, SCREAMING_SNAKE_CASE__			:			Any=2_56					, **SCREAMING_SNAKE_CASE__			:			Union[str, Any]					, ):






      """simple docstring"""



      super().__init__(**SCREAMING_SNAKE_CASE__   )

      if text_config is None:
           UpperCamelCase						    =					{}
           logger.info('`text_config` is `None`. Initializing the `BlipTextConfig` with default values.'   )

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

      UpperCamelCase						    =					BlipTextConfig(**SCREAMING_SNAKE_CASE__   )
      UpperCamelCase						    =					BlipVisionConfig(**SCREAMING_SNAKE_CASE__   )

      UpperCamelCase						    =					self.vision_config.hidden_size

      UpperCamelCase						    =					projection_dim
      UpperCamelCase						    =					logit_scale_init_value
      UpperCamelCase						    =					1.0
      UpperCamelCase						    =					0.02
      UpperCamelCase						    =					image_text_hidden_size

 @classmethod
 def      __lowerCAmelCase  (						cls			:			Any					, SCREAMING_SNAKE_CASE__			:			BlipTextConfig					, SCREAMING_SNAKE_CASE__			:			BlipVisionConfig					, **SCREAMING_SNAKE_CASE__			:			str   ):






      """simple docstring"""



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






 def      __lowerCAmelCase  (						self			:			List[Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					copy.deepcopy(self.__dict__   )
      UpperCamelCase						    =					self.text_config.to_dict()
      UpperCamelCase						    =					self.vision_config.to_dict()
      UpperCamelCase						    =					self.__class__.model_type
      return output




def  __lowerCamelCase					( _lowercase			)       ->      list:
     for i in range(len(_lowercase			) - 1						,     0						,     -1			):
          UpperCamelCase						    =					False

          for j in range(_lowercase						,     0						,     -1			):
               if unsorted[j] < unsorted[j - 1]:
                    UpperCamelCase    ,		UpperCamelCase						    =					unsorted[j - 1], unsorted[j]
                    UpperCamelCase						    =					True

          for j in range(_lowercase			):
               if unsorted[j] > unsorted[j + 1]:
                    UpperCamelCase    ,		UpperCamelCase						    =					unsorted[j + 1], unsorted[j]
                    UpperCamelCase						    =					True

          if not swapped:
               break
     return unsorted


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 _snake_case      = input('''Enter numbers separated by a comma:\n''').strip()
 _snake_case      = [int(item) for item in user_input.split(''',''')]
 print(F"{cocktail_shaker_sort(unsorted) = }")


