

"""simple docstring"""






import copy
import os
from typing import Union

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


__lowerCamelCase										=		logging.get_logger(__name__)

__lowerCamelCase										=		{
    "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        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       '''blip_text_model'''







     def __init__(      self ,						UpperCamelCase_=3_0524 ,						UpperCamelCase_=768 ,						UpperCamelCase_=768 ,						UpperCamelCase_=3072 ,						UpperCamelCase_=768 ,						UpperCamelCase_=12 ,						UpperCamelCase_=8 ,						UpperCamelCase_=512 ,						UpperCamelCase_="gelu" ,						UpperCamelCase_=1E-1_2 ,						UpperCamelCase_=0.0 ,						UpperCamelCase_=0.0 ,						UpperCamelCase_=0.0_2 ,						UpperCamelCase_=3_0522 ,						UpperCamelCase_=2 ,						UpperCamelCase_=0 ,						UpperCamelCase_=102 ,						UpperCamelCase_=True ,						UpperCamelCase_=True ,						**UpperCamelCase_ ,						):
      super().__init__(
          pad_token_id=UpperCamelCase_ ,						bos_token_id=UpperCamelCase_ ,						eos_token_id=UpperCamelCase_ ,						sep_token_id=UpperCamelCase_ ,						**UpperCamelCase_ ,						)

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







     @classmethod
     def 	lowerCAmelCase__    (      cls ,						UpperCamelCase_ ,						**UpperCamelCase_       ):
      cls._set_token_in_kwargs(UpperCamelCase_       )

      __magic_name__   ,						__magic_name__     =      cls.get_config_dict(UpperCamelCase_ ,						**UpperCamelCase_       )

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


class        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       '''blip_vision_model'''







     def __init__(      self ,						UpperCamelCase_=768 ,						UpperCamelCase_=3072 ,						UpperCamelCase_=512 ,						UpperCamelCase_=12 ,						UpperCamelCase_=12 ,						UpperCamelCase_=384 ,						UpperCamelCase_=16 ,						UpperCamelCase_="gelu" ,						UpperCamelCase_=1E-5 ,						UpperCamelCase_=0.0 ,						UpperCamelCase_=1E-1_0 ,						**UpperCamelCase_ ,						):
      super().__init__(**UpperCamelCase_       )

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







     @classmethod
     def 	lowerCAmelCase__    (      cls ,						UpperCamelCase_ ,						**UpperCamelCase_       ):
      cls._set_token_in_kwargs(UpperCamelCase_       )

      __magic_name__   ,						__magic_name__     =      cls.get_config_dict(UpperCamelCase_ ,						**UpperCamelCase_       )

      # get the vision config dict if we are loading from BlipConfig
      if config_dict.get('''model_type'''       ) == "blip":
       __magic_name__     =      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        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       '''blip'''
     _lowerCamelCase     =       True







     def __init__(      self ,						UpperCamelCase_=None ,						UpperCamelCase_=None ,						UpperCamelCase_=512 ,						UpperCamelCase_=2.6_5_9_2 ,						UpperCamelCase_=256 ,						**UpperCamelCase_ ,						):
      super().__init__(**UpperCamelCase_       )

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

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

      __magic_name__     =      BlipTextConfig(**UpperCamelCase_       )
      __magic_name__     =      BlipVisionConfig(**UpperCamelCase_       )

      __magic_name__     =      self.vision_config.hidden_size

      __magic_name__     =      projection_dim
      __magic_name__     =      logit_scale_init_value
      __magic_name__     =      1.0
      __magic_name__     =      0.0_2
      __magic_name__     =      image_text_hidden_size







     @classmethod
     def 	lowerCAmelCase__    (      cls ,						UpperCamelCase_ ,						UpperCamelCase_ ,						**UpperCamelCase_       ):
      return cls(text_config=text_config.to_dict() ,						vision_config=vision_config.to_dict() ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      copy.deepcopy(self.__dict__       )
      __magic_name__     =      self.text_config.to_dict()
      __magic_name__     =      self.vision_config.to_dict()
      __magic_name__     =      self.__class__.model_type
      return output




"""simple docstring"""






from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

__lowerCamelCase										=		TypeVar("T")





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (position - 1) // 2





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (2 * position) + 1





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (2 * position) + 2
class        _lowercase					(     Generic[T]     ):







     def __init__(      self       ):
      __magic_name__     =      []
      __magic_name__     =      {}
      __magic_name__     =      0







     def __len__(      self       ):
      return self.elements







     def __repr__(      self       ):
      return str(self.heap       )







     def 	lowerCAmelCase__    (      self       ):
      # Check if the priority queue is empty
      return self.elements == 0







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Add an element with given priority to the queue
      self.heap.append((elem, weight)       )
      __magic_name__     =      self.elements
      self.elements += 1
      self._bubble_up(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self       ):
      # Remove and return the element with lowest weight (highest priority)
      if self.elements > 1:
       self._swap_nodes(0 ,						self.elements - 1       )
      __magic_name__   ,						__magic_name__     =      self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
       __magic_name__   ,						__magic_name__     =      self.heap[0]
       self._bubble_down(UpperCamelCase_       )
      return elem







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Update the weight of the given key
      __magic_name__     =      self.position_map[elem]
      __magic_name__     =      (elem, weight)
      if position > 0:
       __magic_name__     =      get_parent_position(UpperCamelCase_       )
       __magic_name__   ,						__magic_name__     =      self.heap[parent_position]
       if parent_weight > weight:
        self._bubble_up(UpperCamelCase_       )
       else:
        self._bubble_down(UpperCamelCase_       )
      else:
       self._bubble_down(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Place a node at the proper position (upward movement) [to be used internally
      # only]
      __magic_name__     =      self.position_map[elem]
      if curr_pos == 0:
       return None
      __magic_name__     =      get_parent_position(UpperCamelCase_       )
      __magic_name__   ,						__magic_name__     =      self.heap[curr_pos]
      __magic_name__   ,						__magic_name__     =      self.heap[parent_position]
      if parent_weight > weight:
       self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
       return self._bubble_up(UpperCamelCase_       )
      return None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Place a node at the proper position (downward movement) [to be used
      # internally only]
      __magic_name__     =      self.position_map[elem]
      __magic_name__   ,						__magic_name__     =      self.heap[curr_pos]
      __magic_name__     =      get_child_left_position(UpperCamelCase_       )
      __magic_name__     =      get_child_right_position(UpperCamelCase_       )
      if child_left_position < self.elements and child_right_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_left_position]
       __magic_name__   ,						__magic_name__     =      self.heap[child_right_position]
       if child_right_weight < child_left_weight and child_right_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      if child_left_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_left_position]
       if child_left_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      else:
       return None
      if child_right_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_right_position]
       if child_right_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      return None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Swap the nodes at the given positions
      __magic_name__     =      self.heap[nodea_pos][0]
      __magic_name__     =      self.heap[nodea_pos][0]
      __magic_name__   ,						__magic_name__     =      (
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      __magic_name__     =      nodea_pos
      __magic_name__     =      nodea_pos


class        _lowercase					(     Generic[T]     ):







     def __init__(      self       ):
      __magic_name__     =      {}
      __magic_name__     =      0







     def __repr__(      self       ):
      return str(self.connections       )







     def __len__(      self       ):
      return self.nodes







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Add a node in the graph if it is not in the graph
      if node not in self.connections:
       __magic_name__     =      {}
       self.nodes += 1







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Add an edge between 2 nodes in the graph
      self.add_node(UpperCamelCase_       )
      self.add_node(UpperCamelCase_       )
      __magic_name__     =      weight
      __magic_name__     =      weight





def 	lowercase      (   __UpperCamelCase      ,   ) ->      tuple[dict[T, int], dict[T, T | None]]:
 __magic_name__     =      {node: maxsize for node in graph.connections}
 __magic_name__     =      {node: None for node in graph.connections}

 __magic_name__     =      MinPriorityQueue()
 for node, weight in dist.items():
  priority_queue.push(__UpperCamelCase      ,   __UpperCamelCase						)

 if priority_queue.is_empty():
  return dist, parent

 # initialization
 __magic_name__     =      priority_queue.extract_min()
 __magic_name__     =      0
 for neighbour in graph.connections[node]:
  if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
   __magic_name__     =      dist[node] + graph.connections[node][neighbour]
   priority_queue.update_key(__UpperCamelCase      ,   dist[neighbour]						)
   __magic_name__     =      node

    # running prim's algorithm
 while not priority_queue.is_empty():
  __magic_name__     =      priority_queue.extract_min()
  for neighbour in graph.connections[node]:
   if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
    __magic_name__     =      dist[node] + graph.connections[node][neighbour]
    priority_queue.update_key(__UpperCamelCase      ,   dist[neighbour]						)
    __magic_name__     =      node
 return dist, parent

