

from abc import ABC, abstractmethod
from typing import List, Optional
class  _A		(  __magic_name__):

  def __init__(				self					):





        """simple docstring"""







        self.test()

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Tuple           =     0
        SCREAMING_SNAKE_CASE_				:  List[str]           =     False
        while not completed:
              if counter == 1:
                    self.reset()
              SCREAMING_SNAKE_CASE_				:  List[Any]           =     self.advance()
              if not self.does_advance(_SCREAMING_SNAKE_CASE					):
                    raise Exception(
                        'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'					)

              SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  List[Any]           =     self.update(_SCREAMING_SNAKE_CASE					)
              counter += 1

              if counter > 1_0000:
                    raise Exception('update() does not fulfill the constraint.'					)

        if self.remaining() != 0:
              raise Exception('Custom Constraint is not defined correctly.'					)

  @abstractmethod
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        raise NotImplementedError(
            f"{self.__class__} is an abstract class. Only classes inheriting this class can be called."					)

  @abstractmethod
  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        raise NotImplementedError(
            f"{self.__class__} is an abstract class. Only classes inheriting this class can be called."					)

  @abstractmethod
  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        raise NotImplementedError(
            f"{self.__class__} is an abstract class. Only classes inheriting this class can be called."					)

  @abstractmethod
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        raise NotImplementedError(
            f"{self.__class__} is an abstract class. Only classes inheriting this class can be called."					)

  @abstractmethod
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        raise NotImplementedError(
            f"{self.__class__} is an abstract class. Only classes inheriting this class can be called."					)



  @abstractmethod
  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE=False					):





        """simple docstring"""







        raise NotImplementedError(
            f"{self.__class__} is an abstract class. Only classes inheriting this class can be called."					)

class  _A		(  __magic_name__):

  def __init__(				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        super(_SCREAMING_SNAKE_CASE ,					self					).__init__()

        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					) or len(_SCREAMING_SNAKE_CASE					) == 0:
              raise ValueError(f"`token_ids` has to be a non-empty list, but is {token_ids}."					)
        if any((not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					) or token_id < 0) for token_id in token_ids					):
              raise ValueError(f"Each list in `token_ids` has to be a list of positive integers, but is {token_ids}."					)

        SCREAMING_SNAKE_CASE_				:  Dict           =     token_ids

        SCREAMING_SNAKE_CASE_				:  Tuple           =     len(self.token_ids					)
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     -1  # the index of the currently fulfilled step
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     False

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        if self.completed:
              return None
        return self.token_ids[self.fulfilled_idx + 1]

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
              raise ValueError(f"`token_id` has to be an `int`, but is {token_id} of type {type(_SCREAMING_SNAKE_CASE					)}"					)

        if self.completed:
              return False

        return token_id == self.token_ids[self.fulfilled_idx + 1]

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
              raise ValueError(f"`token_id` has to be an `int`, but is {token_id} of type {type(_SCREAMING_SNAKE_CASE					)}"					)

        SCREAMING_SNAKE_CASE_				:  List[str]           =     False
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     False
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     False

        if self.does_advance(_SCREAMING_SNAKE_CASE					):
              self.fulfilled_idx += 1
              SCREAMING_SNAKE_CASE_				:  Any           =     True
              if self.fulfilled_idx == (self.seqlen - 1):
                    SCREAMING_SNAKE_CASE_				:  int           =     True
              SCREAMING_SNAKE_CASE_				:  str           =     completed
        else:
              # failed to make progress.
              SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     True
              self.reset()
        return stepped, completed, reset

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Tuple           =     False
        SCREAMING_SNAKE_CASE_				:  Dict           =     0

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return self.seqlen - (self.fulfilled_idx + 1)



  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE=False					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Dict           =     PhrasalConstraint(self.token_ids					)

        if stateful:
              SCREAMING_SNAKE_CASE_				:  Any           =     self.seqlen
              SCREAMING_SNAKE_CASE_				:  int           =     self.fulfilled_idx
              SCREAMING_SNAKE_CASE_				:  Any           =     self.completed

        return new_constraint

class  _A		:

  def __init__(				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE=True					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     max([len(_SCREAMING_SNAKE_CASE					) for one in nested_token_ids]					)

        SCREAMING_SNAKE_CASE_				:  Any           =     {}
        for token_ids in nested_token_ids:
              SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     root
              for tidx, token_id in enumerate(_SCREAMING_SNAKE_CASE					):
                    if token_id not in level:
                          SCREAMING_SNAKE_CASE_				:  Any           =     {}

                    SCREAMING_SNAKE_CASE_				:  str           =     level[token_id]

        if no_subsets and self.has_subsets(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
              raise ValueError(
                  'Each list in `nested_token_ids` can\'t be a complete subset of another list, but is'
                  f" {nested_token_ids}."					)

        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     root

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  str           =     self.trie

        for current_token in current_seq:
              SCREAMING_SNAKE_CASE_				:  Optional[int]           =     start[current_token]

        SCREAMING_SNAKE_CASE_				:  List[str]           =     list(start.keys()					)

        return next_tokens

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Dict           =     self.next_tokens(_SCREAMING_SNAKE_CASE					)

        return len(_SCREAMING_SNAKE_CASE					) == 0

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     list(root.values()					)
        if len(_SCREAMING_SNAKE_CASE					) == 0:
              return 1
        else:
              return sum([self.count_leaves(_SCREAMING_SNAKE_CASE					) for nn in next_nodes]					)



  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Any           =     self.count_leaves(_SCREAMING_SNAKE_CASE					)
        return len(_SCREAMING_SNAKE_CASE					) != leaf_count

class  _A		(  __magic_name__):

  def __init__(				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        super(_SCREAMING_SNAKE_CASE ,					self					).__init__()

        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					) or len(_SCREAMING_SNAKE_CASE					) == 0:
              raise ValueError(f"`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}."					)
        if any(not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					) for token_ids in nested_token_ids					):
              raise ValueError(f"`nested_token_ids` has to be a list of lists, but is {nested_token_ids}."					)
        if any(
            any((not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					) or token_id < 0) for token_id in token_ids					)
            for token_ids in nested_token_ids					):
              raise ValueError(
                  f"Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}."					)

        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     DisjunctiveTrie(_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     nested_token_ids

        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     self.trie.max_height
        SCREAMING_SNAKE_CASE_				:  Any           =     []
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     False

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Dict           =     self.trie.next_tokens(self.current_seq					)

        if len(_SCREAMING_SNAKE_CASE					) == 0:
              return None
        else:
              return token_list

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
              raise ValueError(f"`token_id` is supposed to be type `int`, but is {token_id} of type {type(_SCREAMING_SNAKE_CASE					)}"					)

        SCREAMING_SNAKE_CASE_				:  int           =     self.trie.next_tokens(self.current_seq					)

        return token_id in next_tokens

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
              raise ValueError(f"`token_id` is supposed to be type `int`, but is {token_id} of type {type(_SCREAMING_SNAKE_CASE					)}"					)

        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     False
        SCREAMING_SNAKE_CASE_				:  Tuple           =     False
        SCREAMING_SNAKE_CASE_				:  List[str]           =     False

        if self.does_advance(_SCREAMING_SNAKE_CASE					):
              self.current_seq.append(_SCREAMING_SNAKE_CASE					)
              SCREAMING_SNAKE_CASE_				:  Any           =     True
        else:
              SCREAMING_SNAKE_CASE_				:  Dict           =     True
              self.reset()

        SCREAMING_SNAKE_CASE_				:  List[str]           =     self.trie.reached_leaf(self.current_seq					)
        SCREAMING_SNAKE_CASE_				:  Dict           =     completed

        return stepped, completed, reset

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  int           =     False
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     []

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        if self.completed:
              # since this can be completed without reaching max height
              return 0
        else:
              return self.seqlen - len(self.current_seq					)



  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE=False					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     DisjunctiveConstraint(self.token_ids					)

        if stateful:
              SCREAMING_SNAKE_CASE_				:  Optional[int]           =     self.seqlen
              SCREAMING_SNAKE_CASE_				:  Tuple           =     self.current_seq
              SCREAMING_SNAKE_CASE_				:  Tuple           =     self.completed

        return new_constraint

class  _A		:

  def __init__(				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  List[Any]           =     constraints

        # max # of steps required to fulfill a given constraint
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     max([c.seqlen for c in constraints]					)
        SCREAMING_SNAKE_CASE_				:  Any           =     len(_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  List[str]           =     False

        self.init_state()

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     []
        SCREAMING_SNAKE_CASE_				:  Tuple           =     None
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     [constraint.copy(stateful=_SCREAMING_SNAKE_CASE					) for constraint in self.constraints]

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     0
        if self.inprogress_constraint:
              # extra points for having a constraint mid-fulfilled
              add += self.max_seqlen - self.inprogress_constraint.remaining()

        return (len(self.complete_constraints					) * self.max_seqlen) + add

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  List[Any]           =     []
        if self.inprogress_constraint is None:
              for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
                    SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     constraint.advance()
                    if isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
                          token_list.append(_SCREAMING_SNAKE_CASE					)
                    elif isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
                          token_list.extend(_SCREAMING_SNAKE_CASE					)
        else:
              SCREAMING_SNAKE_CASE_				:  Optional[int]           =     self.inprogress_constraint.advance()
              if isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
                    token_list.append(_SCREAMING_SNAKE_CASE					)
              elif isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
                    token_list.extend(_SCREAMING_SNAKE_CASE					)

        if len(_SCREAMING_SNAKE_CASE					) == 0:
              return None
        else:
              return token_list

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        self.init_state()

        if token_ids is not None:
              for token in token_ids:
                    # completes or steps **one** constraint
                    SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     self.add(_SCREAMING_SNAKE_CASE					)

                    # the entire list of constraints are fulfilled
                    if self.completed:
                          break

  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        if not isinstance(_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE					):
              raise ValueError(f"`token_id` should be an `int`, but is `{token_id}`."					)

        SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  List[Any]           =     False, False

        if self.completed:
              SCREAMING_SNAKE_CASE_				:  Optional[int]           =     True
              SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     False
              return complete, stepped

        if self.inprogress_constraint is not None:
              # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
              # job, simply update the state

              SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  List[Any]           =     self.inprogress_constraint.update(_SCREAMING_SNAKE_CASE					)
              if reset:
                    # 1. If the next token breaks the progress, then we must restart.
                    #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

                    #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
                    #     constraint, not the full list of constraints.

                    self.pending_constraints.append(self.inprogress_constraint.copy(stateful=_SCREAMING_SNAKE_CASE					)					)
                    SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     None

              if complete:
                    # 2. If the next token completes the constraint, move it to completed list, set
                    #     inprogress to None. If there are no pending constraints either, then this full list of constraints
                    #     is complete.

                    self.complete_constraints.append(self.inprogress_constraint					)
                    SCREAMING_SNAKE_CASE_				:  Dict           =     None

                    if len(self.pending_constraints					) == 0:
                          # we're done!
                          SCREAMING_SNAKE_CASE_				:  List[Any]           =     True

        else:
              # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
              # of constraints?

              for cidx, pending_constraint in enumerate(self.pending_constraints					):
                    if pending_constraint.does_advance(_SCREAMING_SNAKE_CASE					):
                          SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  int           =     pending_constraint.update(_SCREAMING_SNAKE_CASE					)

                          if not stepped:
                                raise Exception(
                                    '`constraint.update(token_id)` is not yielding incremental progress, '
                                    'even though `constraint.does_advance(token_id)` is true.'					)

                          if complete:
                                self.complete_constraints.append(_SCREAMING_SNAKE_CASE					)
                                SCREAMING_SNAKE_CASE_				:  Tuple           =     None

                          if not complete and stepped:
                                SCREAMING_SNAKE_CASE_				:  str           =     pending_constraint

                          if complete or stepped:
                                # If we made any progress at all, then it's at least not a "pending constraint".

                                SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     (
                                    self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                                )

                                if len(self.pending_constraints					) == 0 and self.inprogress_constraint is None:
                                      # If there's no longer any pending after this and no inprogress either, then we must be
                                      # complete.

                                      SCREAMING_SNAKE_CASE_				:  List[Any]           =     True

                                break  # prevent accidentally stepping through multiple constraints with just one token.

        return complete, stepped



  def  UpperCAmelCase    (				self ,					_SCREAMING_SNAKE_CASE=True					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  int           =     ConstraintListState(self.constraints					)  # we actually never though self.constraints objects
        # throughout this process. So it's at initialization state.

        if stateful:
              SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     [
                  constraint.copy(stateful=_SCREAMING_SNAKE_CASE					) for constraint in self.complete_constraints
              ]
              if self.inprogress_constraint is not None:
                    SCREAMING_SNAKE_CASE_				:  str           =     self.inprogress_constraint.copy(stateful=_SCREAMING_SNAKE_CASE					)
              SCREAMING_SNAKE_CASE_				:  List[str]           =     [constraint.copy() for constraint in self.pending_constraints]

        return new_state









import copy
import os
from typing import Union

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


lowerCAmelCase     :   Optional[int]						     =  logging.get_logger(__name__)

lowerCAmelCase     :   str						     =  {
    'microsoft/git-base': 'https://huggingface.co/microsoft/git-base/resolve/main/config.json',
}
class  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      Optional[int]       =  '''git_vision_model'''

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=768 ,					_SCREAMING_SNAKE_CASE=3072 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=3 ,					_SCREAMING_SNAKE_CASE=224 ,					_SCREAMING_SNAKE_CASE=16 ,					_SCREAMING_SNAKE_CASE="quick_gelu" ,					_SCREAMING_SNAKE_CASE=1e-5 ,					_SCREAMING_SNAKE_CASE=0.0 ,					_SCREAMING_SNAKE_CASE=0.02 ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        super().__init__(**_SCREAMING_SNAKE_CASE					)

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



  @classmethod
  def  UpperCAmelCase    (				cls ,					_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        cls._set_token_in_kwargs(_SCREAMING_SNAKE_CASE					)

        SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  str           =     cls.get_config_dict(_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

        # get the vision config dict if we are loading from GITConfig
        if config_dict.get('model_type'					) == "git":
              SCREAMING_SNAKE_CASE_				:  str           =     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  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      Optional[Any]       =  '''git'''

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=None ,					_SCREAMING_SNAKE_CASE=3_0522 ,					_SCREAMING_SNAKE_CASE=768 ,					_SCREAMING_SNAKE_CASE=6 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=3072 ,					_SCREAMING_SNAKE_CASE="gelu" ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=1024 ,					_SCREAMING_SNAKE_CASE=0.02 ,					_SCREAMING_SNAKE_CASE=1e-12 ,					_SCREAMING_SNAKE_CASE=0 ,					_SCREAMING_SNAKE_CASE="absolute" ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE=101 ,					_SCREAMING_SNAKE_CASE=102 ,					_SCREAMING_SNAKE_CASE=None ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        super().__init__(bos_token_id=_SCREAMING_SNAKE_CASE ,					eos_token_id=_SCREAMING_SNAKE_CASE ,					pad_token_id=_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

        if vision_config is None:
              SCREAMING_SNAKE_CASE_				:  Any           =     {}
              logger.info('vision_config is None. initializing the GitVisionConfig with default values.'					)

        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     GitVisionConfig(**_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Dict           =     vocab_size
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     hidden_size
        SCREAMING_SNAKE_CASE_				:  Dict           =     num_hidden_layers
        SCREAMING_SNAKE_CASE_				:  List[str]           =     num_attention_heads
        SCREAMING_SNAKE_CASE_				:  List[str]           =     hidden_act
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     intermediate_size
        SCREAMING_SNAKE_CASE_				:  Any           =     hidden_dropout_prob
        SCREAMING_SNAKE_CASE_				:  Tuple           =     attention_probs_dropout_prob
        SCREAMING_SNAKE_CASE_				:  int           =     max_position_embeddings
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     initializer_range
        SCREAMING_SNAKE_CASE_				:  int           =     layer_norm_eps
        SCREAMING_SNAKE_CASE_				:  List[str]           =     position_embedding_type
        SCREAMING_SNAKE_CASE_				:  List[str]           =     use_cache
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     tie_word_embeddings
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     num_image_with_embedding

        SCREAMING_SNAKE_CASE_				:  Tuple           =     bos_token_id
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     eos_token_id



  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  List[str]           =     copy.deepcopy(self.__dict__					)
        SCREAMING_SNAKE_CASE_				:  List[str]           =     self.vision_config.to_dict()
        SCREAMING_SNAKE_CASE_				:  int           =     self.__class__.model_type
        return output






