



'''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          =		{
    "BAAI/AltCLIP": "https://huggingface.co/BAAI/AltCLIP/resolve/main/config.json",
    # See all AltCLIP models at https://huggingface.co/models?filter=altclip
}







class     UpperCAmelCase_       (       snake_case__	):
    """simple docstring"""







    lowercase					=		"""altclip_text_model"""




    def __init__(    self					:     List[str] ,     snake_case_					:     int=250_002 ,     snake_case_					:     Tuple=1_024 ,     snake_case_					:     str=24 ,     snake_case_					:     Optional[int]=16 ,     snake_case_					:     str=4_096 ,     snake_case_					:     Optional[int]="gelu" ,     snake_case_					:     Dict=0.1 ,     snake_case_					:     str=0.1 ,     snake_case_					:     List[Any]=514 ,     snake_case_					:     int=1 ,     snake_case_					:     str=0.02 ,     snake_case_					:     List[str]=0.02 ,     snake_case_					:     List[str]=1E-0_5 ,     snake_case_					:     Any=1 ,     snake_case_					:     Optional[int]=0 ,     snake_case_					:     str=2 ,     snake_case_					:     Tuple="absolute" ,     snake_case_					:     List[Any]=True ,     snake_case_					:     List[str]=768 ,     **snake_case_					:     Union[str, Any] ,     ):
          super().__init__(pad_token_id=_A ,     bos_token_id=_A ,     eos_token_id=_A ,     **_A						)

          snake_case__  :    Optional[int]    						=      vocab_size
          snake_case__  :    Optional[int]    						=      hidden_size
          snake_case__  :    str    						=      num_hidden_layers
          snake_case__  :    List[str]    						=      num_attention_heads
          snake_case__  :    List[str]    						=      hidden_act
          snake_case__  :    Union[str, Any]    						=      intermediate_size
          snake_case__  :    Optional[Any]    						=      hidden_dropout_prob
          snake_case__  :    List[str]    						=      attention_probs_dropout_prob
          snake_case__  :    str    						=      max_position_embeddings
          snake_case__  :    Tuple    						=      type_vocab_size
          snake_case__  :    Union[str, Any]    						=      initializer_range
          snake_case__  :    Dict    						=      initializer_factor
          snake_case__  :    Any    						=      layer_norm_eps
          snake_case__  :    int    						=      position_embedding_type
          snake_case__  :    List[Any]    						=      use_cache
          snake_case__  :    List[Any]    						=      project_dim







class     UpperCAmelCase_       (       snake_case__	):
    """simple docstring"""







    lowercase					=		"""altclip_vision_model"""




    def __init__(    self					:     Any ,     snake_case_					:     Optional[int]=768 ,     snake_case_					:     List[Any]=3_072 ,     snake_case_					:     Tuple=512 ,     snake_case_					:     Optional[Any]=12 ,     snake_case_					:     List[Any]=12 ,     snake_case_					:     Union[str, Any]=3 ,     snake_case_					:     Any=224 ,     snake_case_					:     Union[str, Any]=32 ,     snake_case_					:     Union[str, Any]="quick_gelu" ,     snake_case_					:     List[Any]=1E-5 ,     snake_case_					:     Tuple=0.0 ,     snake_case_					:     Optional[Any]=0.02 ,     snake_case_					:     Any=1.0 ,     **snake_case_					:     List[str] ,     ):
          super().__init__(**_A						)

          snake_case__  :    Optional[int]    						=      hidden_size
          snake_case__  :    Tuple    						=      intermediate_size
          snake_case__  :    Optional[int]    						=      projection_dim
          snake_case__  :    Dict    						=      num_hidden_layers
          snake_case__  :    Any    						=      num_attention_heads
          snake_case__  :    Tuple    						=      num_channels
          snake_case__  :    Optional[int]    						=      patch_size
          snake_case__  :    int    						=      image_size
          snake_case__  :    List[Any]    						=      initializer_range
          snake_case__  :    Any    						=      initializer_factor
          snake_case__  :    Optional[Any]    						=      attention_dropout
          snake_case__  :    List[Any]    						=      layer_norm_eps
          snake_case__  :    Tuple    						=      hidden_act




    @classmethod
    def lowerCamelCase       (    cls					:     Any ,     snake_case_					:     Union[str, Any] ,     **snake_case_					:     Any						):
          cls._set_token_in_kwargs(_A						)

          snake_case__						,				snake_case__  :    int    						=      cls.get_config_dict(_A ,     **_A						)

          # get the vision config dict if we are loading from AltCLIPConfig
          if config_dict.get("""model_type"""						) == "altclip":
                snake_case__  :    Tuple    						=      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     UpperCAmelCase_       (       snake_case__	):
    """simple docstring"""







    lowercase					=		"""altclip"""
    lowercase					=		True




    def __init__(    self					:     List[Any] ,     snake_case_					:     Union[str, Any]=None ,     snake_case_					:     str=None ,     snake_case_					:     Union[str, Any]=768 ,     snake_case_					:     List[str]=2.6592 ,     **snake_case_					:     List[Any]						):
          snake_case__  :    Optional[int]    						=      kwargs.pop("""text_config_dict""" ,     _A						)
          snake_case__  :    Optional[Any]    						=      kwargs.pop("""vision_config_dict""" ,     _A						)

          super().__init__(**_A						)

          # Instead of simply assigning `[text|vision]_config_dict` to `[text|vision]_config`, we use the values in
          # `[text|vision]_config_dict` to update the values in `[text|vision]_config`. The values should be same in most
          # cases, but we don't want to break anything regarding `_config_dict` that existed before commit `8827e1b2`.
          if text_config_dict is not None:
                if text_config is None:
                      snake_case__  :    Any    						=      {}

                # This is the complete result when using `text_config_dict`.
                snake_case__  :    Optional[Any]    						=      AltCLIPTextConfig(**_A						).to_dict()

                # Give a warning if the values exist in both `_text_config_dict` and `text_config` but being different.
                for key, value in _text_config_dict.items():
                      if key in text_config and value != text_config[key] and key not in ["transformers_version"]:
                            # If specified in `text_config_dict`
                            if key in text_config_dict:
                                  snake_case__  :    Dict    						=      (
                                      f"`{key}` is found in both `text_config_dict` and `text_config` but with different values. "
                                      f"The value `text_config_dict[\"{key}\"]` will be used instead."
                                  )
                            # If inferred from default argument values (just to be super careful)
                            else:
                                  snake_case__  :    Optional[Any]    						=      (
                                      f"`text_config_dict` is provided which will be used to initialize `AltCLIPTextConfig`. The "
                                      f"value `text_config[\"{key}\"]` will be overriden."
                                  )
                            logger.warning(_A						)

            # Update all values in `text_config` with the ones in `_text_config_dict`.
                text_config.update(_text_config_dict						)

          if vision_config_dict is not None:
                if vision_config is None:
                      snake_case__  :    Optional[Any]    						=      {}

                # This is the complete result when using `vision_config_dict`.
                snake_case__  :    str    						=      AltCLIPVisionConfig(**_A						).to_dict()
                # convert keys to string instead of integer
                if "id2label" in _vision_config_dict:
                      snake_case__  :    Union[str, Any]    						=      {
                          str(_A						): value for key, value in _vision_config_dict["""id2label"""].items()
                      }

                # Give a warning if the values exist in both `_vision_config_dict` and `vision_config` but being different.
                for key, value in _vision_config_dict.items():
                      if key in vision_config and value != vision_config[key] and key not in ["transformers_version"]:
                            # If specified in `vision_config_dict`
                            if key in vision_config_dict:
                                  snake_case__  :    List[Any]    						=      (
                                      f"`{key}` is found in both `vision_config_dict` and `vision_config` but with different "
                                      f"values. The value `vision_config_dict[\"{key}\"]` will be used instead."
                                  )
                            # If inferred from default argument values (just to be super careful)
                            else:
                                  snake_case__  :    List[str]    						=      (
                                      f"`vision_config_dict` is provided which will be used to initialize `AltCLIPVisionConfig`. "
                                      f"The value `vision_config[\"{key}\"]` will be overriden."
                                  )
                            logger.warning(_A						)

            # Update all values in `vision_config` with the ones in `_vision_config_dict`.
                vision_config.update(_vision_config_dict						)

          if text_config is None:
                snake_case__  :    int    						=      {}
                logger.info("""`text_config` is `None`. Initializing the `AltCLIPTextConfig` with default values."""						)

          if vision_config is None:
                snake_case__  :    Optional[Any]    						=      {}
                logger.info("""`vision_config` is `None`. initializing the `AltCLIPVisionConfig` with default values."""						)

          snake_case__  :    Optional[Any]    						=      AltCLIPTextConfig(**_A						)
          snake_case__  :    Dict    						=      AltCLIPVisionConfig(**_A						)

          snake_case__  :    List[str]    						=      projection_dim
          snake_case__  :    Optional[Any]    						=      logit_scale_init_value
          snake_case__  :    int    						=      1.0




    @classmethod
    def lowerCamelCase       (    cls					:     Optional[Any] ,     snake_case_					:     List[Any] ,     snake_case_					:     Tuple ,     **snake_case_					:     Dict						):
          return cls(text_config=text_config.to_dict() ,     vision_config=vision_config.to_dict() ,     **_A						)




    def lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    int    						=      copy.deepcopy(self.__dict__						)
          snake_case__  :    List[str]    						=      self.text_config.to_dict()
          snake_case__  :    int    						=      self.vision_config.to_dict()
          snake_case__  :    List[Any]    						=      self.__class__.model_type
          return output






class 			a__    (					snake_case__      ):
						pass






class 			a__    (					snake_case__      ):
						pass






class 			a__    :






						def __init__(   self			):




											"""simple docstring"""



											__lowerCAmelCase				   =       [
											    [],
											    [],
											    [],
											]






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A		,			_A			):




											"""simple docstring"""



											try:
																if len(self.queues[priority]			) >= 1_0_0:
																					raise OverflowError("Maximum queue size is 100"			)
																self.queues[priority].append(_A			)
											except IndexError:
																raise ValueError("Valid priorities are 0, 1, and 2"			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											for queue in self.queues:
																if queue:
																					return queue.pop(0			)
											raise UnderFlowError("All queues are empty"			)






						def __str__(   self			):




											"""simple docstring"""



											return "\n".join(f"""Priority {i}: {q}""" for i, q in enumerate(self.queues			)			)






class 			a__    :






						def __init__(   self			):




											"""simple docstring"""



											__lowerCAmelCase				   =       []






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A			):




											"""simple docstring"""



											if len(self.queue			) == 1_0_0:
																raise OverFlowError("Maximum queue size is 100"			)
											self.queue.append(_A			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											if not self.queue:
																raise UnderFlowError("The queue is empty"			)
											else:
																__lowerCAmelCase				   =       min(self.queue			)
																self.queue.remove(_A			)
																return data






						def __str__(   self			):




											"""simple docstring"""



											return str(self.queue			)







def 	_a      (						):
					__lowerCAmelCase				   =       FixedPriorityQueue()
					fpq.enqueue(0      ,      10     )
					fpq.enqueue(1      ,      70     )
					fpq.enqueue(0      ,      1_00     )
					fpq.enqueue(2      ,      1     )
					fpq.enqueue(2      ,      5     )
					fpq.enqueue(1      ,      7     )
					fpq.enqueue(2      ,      4     )
					fpq.enqueue(1      ,      64     )
					fpq.enqueue(0      ,      1_28     )
					print(SCREAMING_SNAKE_CASE_     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(SCREAMING_SNAKE_CASE_     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )
					print(fpq.dequeue()     )







def 	_a      (						):
					__lowerCAmelCase				   =       ElementPriorityQueue()
					epq.enqueue(10     )
					epq.enqueue(70     )
					epq.enqueue(1_00     )
					epq.enqueue(1     )
					epq.enqueue(5     )
					epq.enqueue(7     )
					epq.enqueue(4     )
					epq.enqueue(64     )
					epq.enqueue(1_28     )
					print(SCREAMING_SNAKE_CASE_     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(SCREAMING_SNAKE_CASE_     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )
					print(epq.dequeue()     )


if __name__ == "__main__":
					fixed_priority_queue()
					element_priority_queue()




