


"""simple docstring"""




from __future__ import annotations

from random import random
from typing import Generic, TypeVar

lowercase_	   =     TypeVar('KT')
lowercase_	   =     TypeVar('VT')


class 	A_ (	Generic[KT, VT]   ):




      '''simple docstring'''


      def __init__(    self:	Dict						,				a:	KT | str = "root"						,				a:	VT | None = None    ):
       __lowerCamelCase		:							List[str]		 =						key
       __lowerCamelCase		:							Any		 =						value
       __lowerCamelCase		:							list[Node[KT, VT]]		 =						[]




      def __repr__(    self:	str    ):
       return F'Node({self.key}: {self.value})'




      @property
      def 					_snake_case     (    self:	List[str]    ):
       return len(self.forward    )



class 	A_ (	Generic[KT, VT]   ):




      '''simple docstring'''


      def __init__(    self:	Union[str, Any]						,				a:	float = 0.5						,				a:	int = 16    ):
       __lowerCamelCase		:							Node[KT, VT]		 =						Node[KT, VT]()
       __lowerCamelCase		:							int		 =						0
       __lowerCamelCase		:							List[Any]		 =						p
       __lowerCamelCase		:							Optional[int]		 =						max_level




      def __str__(    self:	List[Any]    ):
       __lowerCamelCase		:							str		 =						list(self    )

       if len(snake_case_    ) == 0:
        return F'SkipList(level={self.level})'

       __lowerCamelCase		:							Tuple		 =						max((len(str(snake_case_    )    ) for item in items)						,				default=4    )
       __lowerCamelCase		:							Dict		 =						max(snake_case_						,				4    ) + 4

       __lowerCamelCase		:							Dict		 =						self.head
       __lowerCamelCase		:							List[str]		 =						[]

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

       while len(node.forward    ) != 0:
        __lowerCamelCase		:							Any		 =						node.forward[0]

        lines.append(
            F'[{node.key}]'.ljust(snake_case_						,				'-'    )
            + ' '.join(str(n.key    ) if n.key == node.key else '|' for n in forwards    )    )
        lines.append(' ' * label_size + '| ' * len(snake_case_    )    )
        __lowerCamelCase		:							Optional[int]		 =						node.forward

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




      def __iter__(    self:	int    ):
       __lowerCamelCase		:							Optional[Any]		 =						self.head

       while len(node.forward    ) != 0:
        yield node.forward[0].key
        __lowerCamelCase		:							List[Any]		 =						node.forward[0]




      def 					_snake_case     (    self:	Union[str, Any]    ):
       __lowerCamelCase		:							str		 =						1
       while random() < self.p and level < self.max_level:
        level += 1

       return level




      def 					_snake_case     (    self:	Dict						,				a:	Optional[int]    ):
       __lowerCamelCase		:							List[str]		 =						[]

       __lowerCamelCase		:							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		:							str		 =						node.forward[i]
        # Each leftmost node (relative to searched node) will potentially have to
        # be updated.
        update_vector.append(snake_case_    )

       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 					_snake_case     (    self:	List[Any]						,				a:	KT    ):
       __lowerCamelCase		:							Dict		 =						self._locate_node(snake_case_    )

       if node is not None:
        for i, update_node in enumerate(snake_case_    ):
         # 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		:							Optional[int]		 =						node.forward[i]
          else:
           __lowerCamelCase		:							List[Any]		 =						update_node.forward[:i]




      def 					_snake_case     (    self:	Optional[Any]						,				a:	KT						,				a:	VT    ):
       __lowerCamelCase		:							Tuple		 =						self._locate_node(snake_case_    )
       if node is not None:
        __lowerCamelCase		:							Optional[int]		 =						value
       else:
        __lowerCamelCase		:							List[Any]		 =						self.random_level()

        if level > self.level:
         # After level increase we have to add additional nodes to head.
         for _ in range(self.level - 1						,				snake_case_    ):
          update_vector.append(self.head    )
         __lowerCamelCase		:							List[str]		 =						level

        __lowerCamelCase		:							Optional[Any]		 =						Node(snake_case_						,				snake_case_    )

        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(snake_case_    )
         else:
          __lowerCamelCase		:							List[str]		 =						new_node




      def 					_snake_case     (    self:	int						,				a:	VT    ):
       __lowerCamelCase		:							str		 =						self._locate_node(snake_case_    )

       if node is not None:
        return node.value

       return None



def 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							List[Any]		 =						SkipList()
 skip_list.insert('Key1'      ,	3						)
 skip_list.insert('Key2'      ,	12						)
 skip_list.insert('Key3'      ,	41						)
 skip_list.insert('Key4'      ,	-19						)

 __lowerCamelCase		:							Optional[Any]		 =						skip_list.head
 __lowerCamelCase		:							Optional[int]		 =						{}
 while node.level != 0:
  __lowerCamelCase		:							List[Any]		 =						node.forward[0]
  __lowerCamelCase		:							Optional[Any]		 =						node.value

 assert len(lowerCAmelCase__						) == 4
 assert all_values["Key1"] == 3
 assert all_values["Key2"] == 12
 assert all_values["Key3"] == 41
 assert all_values["Key4"] == -19
def 				UpperCamelCase__					(  ):
 __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		:							str		 =						skip_list.head
 __lowerCamelCase		:							Any		 =						{}
 while node.level != 0:
  __lowerCamelCase		:							List[Any]		 =						node.forward[0]
  __lowerCamelCase		:							List[Any]		 =						node.value

 if len(lowerCAmelCase__						) != 4:
  print()
 assert len(lowerCAmelCase__						) == 4
 assert all_values["Key1"] == 12
 assert all_values["Key7"] == 7
 assert all_values["Key5"] == 5
 assert all_values["Key10"] == 10
def 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							List[Any]		 =						SkipList()
 assert skip_list.find('Some key'						) is None
def 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							Tuple		 =						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 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							int		 =						SkipList()
 skip_list.delete('Some key'						)

 assert len(skip_list.head.forward						) == 0
def 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							List[Any]		 =						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 				UpperCamelCase__					(  ):
 __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 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							List[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(SCREAMING_SNAKE_CASE__						):
  yield node.key
  for forward_node in node.forward:
   yield from traverse_keys(lowerCAmelCase__						)

 assert len(set(traverse_keys(skip_list.head						)						)						) == 4
def 				UpperCamelCase__					(  ):
 def is_sorted(SCREAMING_SNAKE_CASE__						):
  return all(next_item >= item for item, next_item in zip(lowerCAmelCase__      ,	lst[1:]						)						)

 __lowerCamelCase		:							int		 =						SkipList()
 for i in range(10						):
  skip_list.insert(lowerCAmelCase__      ,	lowerCAmelCase__						)
 assert is_sorted(list(lowerCAmelCase__						)						)
 skip_list.delete(5						)
 skip_list.delete(8						)
 skip_list.delete(2						)
 assert is_sorted(list(lowerCAmelCase__						)						)
 skip_list.insert(-12      ,	-12						)
 skip_list.insert(77      ,	77						)
 assert is_sorted(list(lowerCAmelCase__						)						)
def 				UpperCamelCase__					(  ):
 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 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							str		 =						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(lowerCAmelCase__						)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()





import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
       from ... import PreTrainedTokenizerBase, TensorType

lowercase_	   =     logging.get_logger(__name__)


class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      __snake_case 	=       """vision-encoder-decoder"""
      __snake_case 	=       True




      def __init__(    self:	Union[str, Any]						,				**a:	Optional[Any]    ):
       super().__init__(**a    )
       if "encoder" not in kwargs or "decoder" not in kwargs:
        raise ValueError(
            F'A configuraton of type {self.model_type} cannot be instantiated because '
            F'not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}'    )

       __lowerCamelCase		:							Dict		 =						kwargs.pop('encoder'    )
       __lowerCamelCase		:							int		 =						encoder_config.pop('model_type'    )
       __lowerCamelCase		:							Any		 =						kwargs.pop('decoder'    )
       __lowerCamelCase		:							Union[str, Any]		 =						decoder_config.pop('model_type'    )

       __lowerCamelCase		:							Optional[Any]		 =						AutoConfig.for_model(a						,				**a    )
       __lowerCamelCase		:							List[Any]		 =						AutoConfig.for_model(a						,				**a    )
       __lowerCamelCase		:							Tuple		 =						True




      @classmethod
      def 					_snake_case     (    cls:	Optional[Any]						,				a:	PretrainedConfig						,				a:	PretrainedConfig						,				**a:	Dict    ):
       logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'    )
       __lowerCamelCase		:							Optional[Any]		 =						True
       __lowerCamelCase		:							Optional[Any]		 =						True

       return cls(encoder=encoder_config.to_dict()						,				decoder=decoder_config.to_dict()						,				**a    )




      def 					_snake_case     (    self:	str    ):
       __lowerCamelCase		:							int		 =						copy.deepcopy(self.__dict__    )
       __lowerCamelCase		:							Dict		 =						self.encoder.to_dict()
       __lowerCamelCase		:							Union[str, Any]		 =						self.decoder.to_dict()
       __lowerCamelCase		:							Optional[int]		 =						self.__class__.model_type
       return output



class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      __snake_case 	=       version.parse("""1.11"""   )




      @property
      def 					_snake_case     (    self:	Union[str, Any]    ):
       return OrderedDict(
           [
               ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
           ]    )




      @property
      def 					_snake_case     (    self:	Optional[Any]    ):
       return 1e-4




      @property
      def 					_snake_case     (    self:	List[str]    ):
       return OrderedDict({'last_hidden_state': {0: 'batch', 1: 'encoder_sequence'}}    )



class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      @property
      def 					_snake_case     (    self:	Tuple    ):
       __lowerCamelCase		:							Union[str, Any]		 =						OrderedDict()
       __lowerCamelCase		:							Union[str, Any]		 =						{0: 'batch', 1: 'past_decoder_sequence + sequence'}
       __lowerCamelCase		:							Optional[Any]		 =						{0: 'batch', 1: 'past_decoder_sequence + sequence'}
       __lowerCamelCase		:							Dict		 =						{0: 'batch', 1: 'encoder_sequence'}

       return common_inputs




      def 					_snake_case     (    self:	List[Any]						,				a:	"PreTrainedTokenizerBase"						,				a:	int = -1						,				a:	int = -1						,				a:	bool = False						,				a:	Optional["TensorType"] = None						,				):
       import torch

       __lowerCamelCase		:							str		 =						OrderedDict()

       __lowerCamelCase		:							List[Any]		 =						super().generate_dummy_inputs(
           a						,				batch_size=a						,				seq_length=a						,				is_pair=a						,				framework=a    )

       __lowerCamelCase ,					__lowerCamelCase		:							Dict		 =						dummy_input['input_ids'].shape
       __lowerCamelCase		:							str		 =						(batch, encoder_sequence, self._config.encoder_hidden_size)
       __lowerCamelCase		:							str		 =						dummy_input.pop('input_ids'    )
       __lowerCamelCase		:							Union[str, Any]		 =						dummy_input.pop('attention_mask'    )
       __lowerCamelCase		:							str		 =						torch.zeros(a    )

       return common_inputs



class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      @property
      def 					_snake_case     (    self:	List[Any]    ):
       pass




      def 					_snake_case     (    self:	List[str]						,				a:	PretrainedConfig    ):
       return VisionEncoderDecoderEncoderOnnxConfig(a    )




      def 					_snake_case     (    self:	Optional[int]						,				a:	PretrainedConfig						,				a:	PretrainedConfig						,				a:	str = "default"    ):
       __lowerCamelCase		:							List[Any]		 =						encoder_config.hidden_size
       return VisionEncoderDecoderDecoderOnnxConfig(a						,				a    )

