


import copy
import os
from typing import Union

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


__lowerCAmelCase			=							logging.get_logger(__name__)

__lowerCAmelCase			=							{
    '''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/config.json''',
}





class   __a      (   __UpperCamelCase				):
 __lowercase			:							Tuple       					=			'git_vision_model'
 def __init__(       self    ,			lowerCAmelCase__=768    ,			lowerCAmelCase__=3_072    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=3    ,			lowerCAmelCase__=224    ,			lowerCAmelCase__=16    ,			lowerCAmelCase__="quick_gelu"    ,			lowerCAmelCase__=1E-5    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0_2    ,			**lowerCAmelCase__    ,			) ->    Tuple:




        '''simple docstring'''
        super().__init__(**lowerCAmelCase__			)

        lowercase__:       Tuple        =       hidden_size
        lowercase__:       Optional[Any]        =       intermediate_size
        lowercase__:       Any        =       num_hidden_layers
        lowercase__:       Any        =       num_attention_heads
        lowercase__:       Union[str, Any]        =       num_channels
        lowercase__:       Optional[int]        =       patch_size
        lowercase__:       Tuple        =       image_size
        lowercase__:       Union[str, Any]        =       initializer_range
        lowercase__:       Dict        =       attention_dropout
        lowercase__:       Dict        =       layer_norm_eps
        lowercase__:       Optional[int]        =       hidden_act
 @classmethod
 def 		SCREAMING_SNAKE_CASE__       (       cls    ,			lowerCAmelCase__    ,			**lowerCAmelCase__			) ->    "PretrainedConfig":




        '''simple docstring'''
        cls._set_token_in_kwargs(lowerCAmelCase__			)

        lowercase__      ,						lowercase__:       List[Any]        =       cls.get_config_dict(lowerCAmelCase__    ,			**lowerCAmelCase__			)

        # get the vision config dict if we are loading from GITConfig
        if config_dict.get('model_type'			) == "git":
               lowercase__:       int        =       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(lowerCAmelCase__    ,			**lowerCAmelCase__			)





class   __a      (   __UpperCamelCase				):
 __lowercase			:							Tuple       					=			'git'
 def __init__(       self    ,			lowerCAmelCase__=None    ,			lowerCAmelCase__=30_522    ,			lowerCAmelCase__=768    ,			lowerCAmelCase__=6    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=3_072    ,			lowerCAmelCase__="gelu"    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=1_024    ,			lowerCAmelCase__=0.0_2    ,			lowerCAmelCase__=1E-12    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__="absolute"    ,			lowerCAmelCase__=True    ,			lowerCAmelCase__=False    ,			lowerCAmelCase__=101    ,			lowerCAmelCase__=102    ,			lowerCAmelCase__=None    ,			**lowerCAmelCase__    ,			) ->    List[str]:




        '''simple docstring'''
        super().__init__(bos_token_id=lowerCAmelCase__    ,			eos_token_id=lowerCAmelCase__    ,			pad_token_id=lowerCAmelCase__    ,			**lowerCAmelCase__			)

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

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

        lowercase__:       Optional[Any]        =       bos_token_id
        lowercase__:       Optional[Any]        =       eos_token_id
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    List[Any]:




        '''simple docstring'''
        lowercase__:       Tuple        =       copy.deepcopy(self.__dict__			)
        lowercase__:       List[Any]        =       self.vision_config.to_dict()
        lowercase__:       List[str]        =       self.__class__.model_type
        return output






def        snake_case_					(  snake_case					)  ->    list[int]:
       lowercase__:       Dict        =       [0 for i in range(len(snake_case					)					)]

       # initialize interval's left pointer and right pointer
       lowercase__      ,						lowercase__:       Union[str, Any]        =       0, 0

       for i in range(1      ,							len(snake_case					)					):
              # case when current index is inside the interval
              if i <= right_pointer:
                     lowercase__:       List[Any]        =       min(right_pointer - i + 1      ,							z_result[i - left_pointer]					)
                     lowercase__:       List[str]        =       min_edge

              while go_next(snake_case      ,							snake_case      ,							snake_case					):
                     z_result[i] += 1

              # if new index's result gives us more right interval,
              # we've to update left_pointer and right_pointer
              if i + z_result[i] - 1 > right_pointer:
                     lowercase__      ,						lowercase__:       List[Any]        =       i, i + z_result[i] - 1

       return z_result




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case					)  ->    bool:
       return i + z_result[i] < len(snake_case					) and s[z_result[i]] == s[i + z_result[i]]




def        snake_case_					(  snake_case      ,							snake_case					)  ->    int:
       lowercase__:       Tuple        =       0
       # concatenate 'pattern' and 'input_str' and call z_function
       # with concatenated string
       lowercase__:       Any        =       z_function(pattern + input_str					)

       for val in z_result:
              # if value is greater then length of the pattern string
              # that means this index is starting position of substring
              # which is equal to pattern string
              if val >= len(snake_case					):
                     answer += 1

       return answer


if __name__ == "__main__":
 import doctest

 doctest.testmod()


