





from __future__ import annotations

from random import random
from typing import Generic, TypeVar

__A             =       TypeVar("KT")
__A             =       TypeVar("VT")



class      _SCREAMING_SNAKE_CASE		(			Generic[KT, VT]					):







 '''simple docstring'''

 def __init__(self       :     Union[str, Any] ,				UpperCAmelCase_       :     KT | str = "root" ,				UpperCAmelCase_       :     VT | None = None) ->List[Any]:



   '''simple docstring'''



   lowerCamelCase__:   List[Any]    						=key
   lowerCamelCase__:   Tuple    						=value
   lowerCamelCase__:   list[Node[KT, VT]]    						=[]

 def __repr__(self       :     str) ->str:



   '''simple docstring'''



   return F"""Node({self.key}: {self.value})"""







 @property
 def 							SCREAMING_SNAKE_CASE_      (self       :     List[Any]) ->int:



   '''simple docstring'''



   return len(self.forward)



class      _SCREAMING_SNAKE_CASE		(			Generic[KT, VT]					):







 '''simple docstring'''

 def __init__(self       :     List[str] ,				UpperCAmelCase_       :     float = 0.5 ,				UpperCAmelCase_       :     int = 16) ->Dict:



   '''simple docstring'''



   lowerCamelCase__:   Node[KT, VT]    						=Node[KT, VT]()
   lowerCamelCase__:   Optional[int]    						=0
   lowerCamelCase__:   Optional[Any]    						=p
   lowerCamelCase__:   Optional[Any]    						=max_level

 def __str__(self       :     List[str]) ->str:



   '''simple docstring'''



   lowerCamelCase__:   List[Any]    						=list(self)

   if len(__a) == 0:
     return F"""SkipList(level={self.level})"""

   lowerCamelCase__:   List[Any]    						=max((len(str(__a)) for item in items) ,				default=4)
   lowerCamelCase__:   List[Any]    						=max(__a ,				4) + 4

   lowerCamelCase__:   List[Any]    						=self.head
   lowerCamelCase__:   Any    						=[]

   lowerCamelCase__:   Dict    						=node.forward.copy()
   lines.append(F"""[{node.key}]""".ljust(__a ,				"-") + "* " * len(__a))
   lines.append(" " * label_size + "| " * len(__a))

   while len(node.forward) != 0:
     lowerCamelCase__:   Tuple    						=node.forward[0]

     lines.append(
         F"""[{node.key}]""".ljust(__a ,				"-")
         + " ".join(str(n.key) if n.key == node.key else "|" for n in forwards))
     lines.append(" " * label_size + "| " * len(__a))
     lowerCamelCase__:   Union[str, Any]    						=node.forward

   lines.append("None".ljust(__a) + "* " * len(__a))
   return F"""SkipList(level={self.level})\n""" + "\n".join(__a)

 def __iter__(self       :     List[Any]) ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:   Tuple    						=self.head

   while len(node.forward) != 0:
     yield node.forward[0].key
     lowerCamelCase__:   Dict    						=node.forward[0]

 def 							SCREAMING_SNAKE_CASE_      (self       :     Dict) ->int:



   '''simple docstring'''



   lowerCamelCase__:   Any    						=1
   while random() < self.p and level < self.max_level:
     level += 1

   return level

 def 							SCREAMING_SNAKE_CASE_      (self       :     Tuple ,				UpperCAmelCase_       :     Optional[int]) ->tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:



   '''simple docstring'''



   lowerCamelCase__:   Union[str, Any]    						=[]

   lowerCamelCase__:   List[str]    						=self.head

   for i in reversed(range(self.level)):
     # i < node.level - When node level is lesser than `i` decrement `i`.
     # node.forward[i].key < key - Jumping to node with key value higher
     #                             or equal to searched key would result
     #                             in skipping searched key.
     while i < node.level and node.forward[i].key < key:
       lowerCamelCase__:   List[str]    						=node.forward[i]
     # Each leftmost node (relative to searched node) will potentially have to
     # be updated.
     update_vector.append(__a)

   update_vector.reverse()  # Note that we were inserting values in reverse order.

   # len(node.forward) != 0 - If current node doesn't contain any further
   #                          references then searched key is not present.
   # node.forward[0].key == key - Next node key should be equal to search key
   #                              if key is present.
   if len(node.forward) != 0 and node.forward[0].key == key:
     return node.forward[0], update_vector
   else:
     return None, update_vector

 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[Any] ,				UpperCAmelCase_       :     KT) ->Any:



   '''simple docstring'''



   lowerCamelCase__:   Tuple    						=self._locate_node(__a)

   if node is not None:
     for i, update_node in enumerate(__a):
       # Remove or replace all references to removed node.
       if update_node.level > i and update_node.forward[i].key == key:
         if node.level > i:
           lowerCamelCase__:   Dict    						=node.forward[i]
         else:
           lowerCamelCase__:   Optional[Any]    						=update_node.forward[:i]

 def 							SCREAMING_SNAKE_CASE_      (self       :     Tuple ,				UpperCAmelCase_       :     KT ,				UpperCAmelCase_       :     VT) ->List[str]:



   '''simple docstring'''



   lowerCamelCase__:   Dict    						=self._locate_node(__a)
   if node is not None:
     lowerCamelCase__:   Union[str, Any]    						=value
   else:
     lowerCamelCase__:   str    						=self.random_level()

     if level > self.level:
       # After level increase we have to add additional nodes to head.
       for _ in range(self.level - 1 ,				__a):
         update_vector.append(self.head)
       lowerCamelCase__:   Dict    						=level

     lowerCamelCase__:   Union[str, Any]    						=Node(__a ,				__a)

     for i, update_node in enumerate(update_vector[:level]):
       # Change references to pass through new node.
       if update_node.level > i:
         new_node.forward.append(update_node.forward[i])

       if update_node.level < i + 1:
         update_node.forward.append(__a)
       else:
         lowerCamelCase__:   Tuple    						=new_node







 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[Any] ,				UpperCAmelCase_       :     VT) ->VT | None:



   '''simple docstring'''



   lowerCamelCase__:   Dict    						=self._locate_node(__a)

   if node is not None:
     return node.value

   return None





def   lowerCAmelCase_				( )  ->	str:







  """simple docstring"""





  lowerCamelCase__:   Optional[Any]    						=SkipList()
  skip_list.insert("Key1"			,					3	)
  skip_list.insert("Key2"			,					12	)
  skip_list.insert("Key3"			,					41	)
  skip_list.insert("Key4"			,					-19	)

  lowerCamelCase__:   Optional[int]    						=skip_list.head
  lowerCamelCase__:   int    						={}
  while node.level != 0:
    lowerCamelCase__:   str    						=node.forward[0]
    lowerCamelCase__:   int    						=node.value

  assert len(UpperCamelCase__	) == 4
  assert all_values["Key1"] == 3
  assert all_values["Key2"] == 12
  assert all_values["Key3"] == 41
  assert all_values["Key4"] == -19





def   lowerCAmelCase_				( )  ->	Tuple:







  """simple docstring"""





  lowerCamelCase__:   Union[str, Any]    						=SkipList()
  skip_list.insert("Key1"			,					10	)
  skip_list.insert("Key1"			,					12	)

  skip_list.insert("Key5"			,					7	)
  skip_list.insert("Key7"			,					10	)
  skip_list.insert("Key10"			,					5	)

  skip_list.insert("Key7"			,					7	)
  skip_list.insert("Key5"			,					5	)
  skip_list.insert("Key10"			,					10	)

  lowerCamelCase__:   List[str]    						=skip_list.head
  lowerCamelCase__:   Any    						={}
  while node.level != 0:
    lowerCamelCase__:   str    						=node.forward[0]
    lowerCamelCase__:   Tuple    						=node.value

  if len(UpperCamelCase__	) != 4:
    print()
  assert len(UpperCamelCase__	) == 4
  assert all_values["Key1"] == 12
  assert all_values["Key7"] == 7
  assert all_values["Key5"] == 5
  assert all_values["Key10"] == 10





def   lowerCAmelCase_				( )  ->	List[Any]:







  """simple docstring"""





  lowerCamelCase__:   Dict    						=SkipList()
  assert skip_list.find("Some key"	) is None





def   lowerCAmelCase_				( )  ->	Optional[int]:







  """simple docstring"""





  lowerCamelCase__:   Any    						=SkipList()

  skip_list.insert("Key2"			,					20	)
  assert skip_list.find("Key2"	) == 20

  skip_list.insert("Some Key"			,					10	)
  skip_list.insert("Key2"			,					8	)
  skip_list.insert("V"			,					13	)

  assert skip_list.find("Y"	) is None
  assert skip_list.find("Key2"	) == 8
  assert skip_list.find("Some Key"	) == 10
  assert skip_list.find("V"	) == 13





def   lowerCAmelCase_				( )  ->	Any:







  """simple docstring"""





  lowerCamelCase__:   Union[str, Any]    						=SkipList()
  skip_list.delete("Some key"	)

  assert len(skip_list.head.forward	) == 0





def   lowerCAmelCase_				( )  ->	List[Any]:







  """simple docstring"""





  lowerCamelCase__:   List[str]    						=SkipList()

  skip_list.insert("Key1"			,					12	)
  skip_list.insert("V"			,					13	)
  skip_list.insert("X"			,					14	)
  skip_list.insert("Key2"			,					15	)

  skip_list.delete("V"	)
  skip_list.delete("Key2"	)

  assert skip_list.find("V"	) is None
  assert skip_list.find("Key2"	) is None





def   lowerCAmelCase_				( )  ->	List[str]:







  """simple docstring"""





  lowerCamelCase__:   List[str]    						=SkipList()

  skip_list.insert("Key1"			,					12	)
  skip_list.insert("V"			,					13	)
  skip_list.insert("X"			,					14	)
  skip_list.insert("Key2"			,					15	)

  skip_list.delete("V"	)
  assert skip_list.find("V"	) is None
  assert skip_list.find("X"	) == 14
  assert skip_list.find("Key1"	) == 12
  assert skip_list.find("Key2"	) == 15

  skip_list.delete("X"	)
  assert skip_list.find("V"	) is None
  assert skip_list.find("X"	) is None
  assert skip_list.find("Key1"	) == 12
  assert skip_list.find("Key2"	) == 15

  skip_list.delete("Key1"	)
  assert skip_list.find("V"	) is None
  assert skip_list.find("X"	) is None
  assert skip_list.find("Key1"	) is None
  assert skip_list.find("Key2"	) == 15

  skip_list.delete("Key2"	)
  assert skip_list.find("V"	) is None
  assert skip_list.find("X"	) is None
  assert skip_list.find("Key1"	) is None
  assert skip_list.find("Key2"	) is None





def   lowerCAmelCase_				( )  ->	Tuple:







  """simple docstring"""





  lowerCamelCase__:   str    						=SkipList()

  skip_list.insert("Key1"			,					12	)
  skip_list.insert("V"			,					13	)
  skip_list.insert("X"			,					142	)
  skip_list.insert("Key2"			,					15	)

  skip_list.delete("X"	)

  def traverse_keys(__a	):
    yield node.key
    for forward_node in node.forward:
      yield from traverse_keys(UpperCamelCase__	)

  assert len(set(traverse_keys(skip_list.head	)	)	) == 4





def   lowerCAmelCase_				( )  ->	Any:







  """simple docstring"""





  def is_sorted(__a	):
    return all(next_item >= item for item, next_item in zip(UpperCamelCase__			,					lst[1:]	)	)

  lowerCamelCase__:   Union[str, Any]    						=SkipList()
  for i in range(10	):
    skip_list.insert(UpperCamelCase__			,					UpperCamelCase__	)
  assert is_sorted(list(UpperCamelCase__	)	)
  skip_list.delete(5	)
  skip_list.delete(8	)
  skip_list.delete(2	)
  assert is_sorted(list(UpperCamelCase__	)	)
  skip_list.insert(-12			,					-12	)
  skip_list.insert(77			,					77	)
  assert is_sorted(list(UpperCamelCase__	)	)





def   lowerCAmelCase_				( )  ->	str:







  """simple docstring"""





  for _ in range(100	):
    # Repeat test 100 times due to the probabilistic nature of skip list
    # random values == random bugs
    test_insert()
    test_insert_overrides_existing_value()

    test_searching_empty_list_returns_none()
    test_search()

    test_deleting_item_from_empty_list_do_nothing()
    test_deleted_items_are_not_founded_by_find_method()
    test_delete_removes_only_given_key()
    test_delete_doesnt_leave_dead_nodes()

    test_iter_always_yields_sorted_values()





def   lowerCAmelCase_				( )  ->	str:







  """simple docstring"""





  lowerCamelCase__:   Optional[Any]    						=SkipList()
  skip_list.insert(2			,					"2"	)
  skip_list.insert(4			,					"4"	)
  skip_list.insert(6			,					"4"	)
  skip_list.insert(4			,					"5"	)
  skip_list.insert(8			,					"4"	)
  skip_list.insert(9			,					"4"	)

  skip_list.delete(4	)

  print(UpperCamelCase__	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()








import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING


__A             =       logging.get_logger(__name__)

__A             =       {
    "salesforce/blip2-opt-2.7b": "https://huggingface.co/salesforce/blip2-opt-2.7b/resolve/main/config.json",
}



class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''
 lowercase_	=    "blip_2_vision_model"

 def __init__(self       :     Union[str, Any] ,				UpperCAmelCase_       :     int=1_408 ,				UpperCAmelCase_       :     List[str]=6_144 ,				UpperCAmelCase_       :     List[Any]=39 ,				UpperCAmelCase_       :     Tuple=16 ,				UpperCAmelCase_       :     List[str]=224 ,				UpperCAmelCase_       :     Any=14 ,				UpperCAmelCase_       :     Dict="gelu" ,				UpperCAmelCase_       :     str=0.0_0001 ,				UpperCAmelCase_       :     List[str]=0.0 ,				UpperCAmelCase_       :     str=1E-1_0 ,				UpperCAmelCase_       :     Any=True ,				**UpperCAmelCase_       :     Optional[Any] ,				) ->Optional[int]:



   '''simple docstring'''



   super().__init__(**UpperCAmelCase_)

   lowerCamelCase__:   Any    						=hidden_size
   lowerCamelCase__:   Any    						=intermediate_size
   lowerCamelCase__:   Union[str, Any]    						=num_hidden_layers
   lowerCamelCase__:   Optional[Any]    						=num_attention_heads
   lowerCamelCase__:   Dict    						=patch_size
   lowerCamelCase__:   List[Any]    						=image_size
   lowerCamelCase__:   Union[str, Any]    						=initializer_range
   lowerCamelCase__:   Optional[Any]    						=attention_dropout
   lowerCamelCase__:   Union[str, Any]    						=layer_norm_eps
   lowerCamelCase__:   Dict    						=hidden_act
   lowerCamelCase__:   Union[str, Any]    						=qkv_bias







 @classmethod
 def 							SCREAMING_SNAKE_CASE_      (cls       :     Optional[int] ,				UpperCAmelCase_       :     Union[str, os.PathLike] ,				**UpperCAmelCase_       :     List[Any]) ->"PretrainedConfig":



   '''simple docstring'''



   cls._set_token_in_kwargs(UpperCAmelCase_)

   lowerCamelCase__						,      lowerCamelCase__:   str    						=cls.get_config_dict(UpperCAmelCase_ ,				**UpperCAmelCase_)

   # get the vision config dict if we are loading from Blip2Config
   if config_dict.get("model_type") == "blip-2":
     lowerCamelCase__:   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(UpperCAmelCase_ ,				**UpperCAmelCase_)



class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''
 lowercase_	=    "blip_2_qformer"

 def __init__(self       :     str ,				UpperCAmelCase_       :     Any=30_522 ,				UpperCAmelCase_       :     Union[str, Any]=768 ,				UpperCAmelCase_       :     Tuple=12 ,				UpperCAmelCase_       :     Union[str, Any]=12 ,				UpperCAmelCase_       :     Optional[int]=3_072 ,				UpperCAmelCase_       :     Any="gelu" ,				UpperCAmelCase_       :     Optional[int]=0.1 ,				UpperCAmelCase_       :     List[Any]=0.1 ,				UpperCAmelCase_       :     Optional[int]=512 ,				UpperCAmelCase_       :     List[Any]=0.02 ,				UpperCAmelCase_       :     Optional[Any]=1E-1_2 ,				UpperCAmelCase_       :     Dict=0 ,				UpperCAmelCase_       :     Optional[int]="absolute" ,				UpperCAmelCase_       :     List[Any]=2 ,				UpperCAmelCase_       :     int=1_408 ,				**UpperCAmelCase_       :     Optional[int] ,				) ->List[str]:



   '''simple docstring'''



   super().__init__(pad_token_id=UpperCAmelCase_ ,				**UpperCAmelCase_)

   lowerCamelCase__:   Optional[int]    						=vocab_size
   lowerCamelCase__:   Dict    						=hidden_size
   lowerCamelCase__:   Tuple    						=num_hidden_layers
   lowerCamelCase__:   List[Any]    						=num_attention_heads
   lowerCamelCase__:   Optional[Any]    						=hidden_act
   lowerCamelCase__:   Optional[Any]    						=intermediate_size
   lowerCamelCase__:   Dict    						=hidden_dropout_prob
   lowerCamelCase__:   Any    						=attention_probs_dropout_prob
   lowerCamelCase__:   Union[str, Any]    						=max_position_embeddings
   lowerCamelCase__:   Optional[Any]    						=initializer_range
   lowerCamelCase__:   List[Any]    						=layer_norm_eps
   lowerCamelCase__:   Tuple    						=position_embedding_type
   lowerCamelCase__:   List[Any]    						=cross_attention_frequency
   lowerCamelCase__:   Tuple    						=encoder_hidden_size







 @classmethod
 def 							SCREAMING_SNAKE_CASE_      (cls       :     Union[str, Any] ,				UpperCAmelCase_       :     Union[str, os.PathLike] ,				**UpperCAmelCase_       :     List[Any]) ->"PretrainedConfig":



   '''simple docstring'''



   cls._set_token_in_kwargs(UpperCAmelCase_)

   lowerCamelCase__						,      lowerCamelCase__:   Tuple    						=cls.get_config_dict(UpperCAmelCase_ ,				**UpperCAmelCase_)

   # get the qformer config dict if we are loading from Blip2Config
   if config_dict.get("model_type") == "blip-2":
     lowerCamelCase__:   Any    						=config_dict["qformer_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(UpperCAmelCase_ ,				**UpperCAmelCase_)



class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''
 lowercase_	=    "blip-2"
 lowercase_	=    True

 def __init__(self       :     Any ,				UpperCAmelCase_       :     Optional[int]=None ,				UpperCAmelCase_       :     Tuple=None ,				UpperCAmelCase_       :     List[str]=None ,				UpperCAmelCase_       :     int=32 ,				**UpperCAmelCase_       :     str) ->List[str]:



   '''simple docstring'''



   super().__init__(**UpperCAmelCase_)

   if vision_config is None:
     lowerCamelCase__:   Optional[int]    						={}
     logger.info("vision_config is None. initializing the Blip2VisionConfig with default values.")

   if qformer_config is None:
     lowerCamelCase__:   str    						={}
     logger.info("qformer_config is None. Initializing the Blip2QFormerConfig with default values.")

   if text_config is None:
     lowerCamelCase__:   Union[str, Any]    						={}
     logger.info("text_config is None. Initializing the text config with default values (`OPTConfig`).")

   lowerCamelCase__:   Optional[Any]    						=BlipaVisionConfig(**UpperCAmelCase_)
   lowerCamelCase__:   Optional[int]    						=BlipaQFormerConfig(**UpperCAmelCase_)
   lowerCamelCase__:   Union[str, Any]    						=text_config["model_type"] if "model_type" in text_config else "opt"
   lowerCamelCase__:   Dict    						=CONFIG_MAPPING[text_model_type](**UpperCAmelCase_)

   lowerCamelCase__:   Optional[int]    						=self.text_config.tie_word_embeddings
   lowerCamelCase__:   List[str]    						=self.text_config.is_encoder_decoder

   lowerCamelCase__:   Dict    						=num_query_tokens
   lowerCamelCase__:   Optional[Any]    						=self.vision_config.hidden_size
   lowerCamelCase__:   Tuple    						=self.text_config.model_type in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
   lowerCamelCase__:   List[Any]    						=1.0
   lowerCamelCase__:   Union[str, Any]    						=0.02

 @classmethod
 def 							SCREAMING_SNAKE_CASE_      (cls       :     Any ,				UpperCAmelCase_       :     BlipaVisionConfig ,				UpperCAmelCase_       :     BlipaQFormerConfig ,				UpperCAmelCase_       :     PretrainedConfig ,				**UpperCAmelCase_       :     int ,				) ->Optional[int]:



   '''simple docstring'''



   return cls(
       vision_config=vision_config.to_dict() ,				qformer_config=qformer_config.to_dict() ,				text_config=text_config.to_dict() ,				**UpperCAmelCase_ ,				)







 def 							SCREAMING_SNAKE_CASE_      (self       :     List[str]) ->int:



   '''simple docstring'''



   lowerCamelCase__:   List[Any]    						=copy.deepcopy(self.__dict__)
   lowerCamelCase__:   Any    						=self.vision_config.to_dict()
   lowerCamelCase__:   Any    						=self.qformer_config.to_dict()
   lowerCamelCase__:   Any    						=self.text_config.to_dict()
   lowerCamelCase__:   int    						=self.__class__.model_type
   return output

