




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





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       "git_vision_model"



 def __init__(				self    :						str							,							_lowerCAmelCase    :						Dict=768							,							_lowerCAmelCase    :						str=3_072							,							_lowerCAmelCase    :						Optional[Any]=12							,							_lowerCAmelCase    :						Union[str, Any]=12							,							_lowerCAmelCase    :						List[Any]=3							,							_lowerCAmelCase    :						Any=224							,							_lowerCAmelCase    :						List[Any]=16							,							_lowerCAmelCase    :						Optional[Any]="quick_gelu"							,							_lowerCAmelCase    :						Tuple=1E-5							,							_lowerCAmelCase    :						List[Any]=0.0							,							_lowerCAmelCase    :						Tuple=0.02							,							**_lowerCAmelCase    :						Any							,							):
       super().__init__(**_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_      		=     hidden_size
       SCREAMING_SNAKE_CASE_      		=     intermediate_size
       SCREAMING_SNAKE_CASE_      		=     num_hidden_layers
       SCREAMING_SNAKE_CASE_      		=     num_attention_heads
       SCREAMING_SNAKE_CASE_      		=     num_channels
       SCREAMING_SNAKE_CASE_      		=     patch_size
       SCREAMING_SNAKE_CASE_      		=     image_size
       SCREAMING_SNAKE_CASE_      		=     initializer_range
       SCREAMING_SNAKE_CASE_      		=     attention_dropout
       SCREAMING_SNAKE_CASE_      		=     layer_norm_eps
       SCREAMING_SNAKE_CASE_      		=     hidden_act




 @classmethod
 def  lowerCAmelCase_    (				cls    :						Union[str, Any]							,							_lowerCAmelCase    :						Union[str, os.PathLike]							,							**_lowerCAmelCase    :						Any		):
       cls._set_token_in_kwargs(_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     cls.get_config_dict(_lowerCAmelCase							,							**_lowerCAmelCase		)

       # get the vision config dict if we are loading from GITConfig
       if config_dict.get('model_type'		) == "git":
             SCREAMING_SNAKE_CASE_      		=     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 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       "git"



 def __init__(				self    :						Union[str, Any]							,							_lowerCAmelCase    :						List[Any]=None							,							_lowerCAmelCase    :						Optional[Any]=30_522							,							_lowerCAmelCase    :						Union[str, Any]=768							,							_lowerCAmelCase    :						List[str]=6							,							_lowerCAmelCase    :						Optional[int]=12							,							_lowerCAmelCase    :						str=3_072							,							_lowerCAmelCase    :						Any="gelu"							,							_lowerCAmelCase    :						Optional[Any]=0.1							,							_lowerCAmelCase    :						Optional[int]=0.1							,							_lowerCAmelCase    :						Optional[int]=1_024							,							_lowerCAmelCase    :						int=0.02							,							_lowerCAmelCase    :						Any=1E-12							,							_lowerCAmelCase    :						List[Any]=0							,							_lowerCAmelCase    :						Any="absolute"							,							_lowerCAmelCase    :						str=True							,							_lowerCAmelCase    :						Optional[Any]=False							,							_lowerCAmelCase    :						Optional[Any]=101							,							_lowerCAmelCase    :						Tuple=102							,							_lowerCAmelCase    :						Any=None							,							**_lowerCAmelCase    :						List[str]							,							):
       super().__init__(bos_token_id=_lowerCAmelCase							,							eos_token_id=_lowerCAmelCase							,							pad_token_id=_lowerCAmelCase							,							**_lowerCAmelCase		)

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

       SCREAMING_SNAKE_CASE_      		=     GitVisionConfig(**_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     vocab_size
       SCREAMING_SNAKE_CASE_      		=     hidden_size
       SCREAMING_SNAKE_CASE_      		=     num_hidden_layers
       SCREAMING_SNAKE_CASE_      		=     num_attention_heads
       SCREAMING_SNAKE_CASE_      		=     hidden_act
       SCREAMING_SNAKE_CASE_      		=     intermediate_size
       SCREAMING_SNAKE_CASE_      		=     hidden_dropout_prob
       SCREAMING_SNAKE_CASE_      		=     attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE_      		=     max_position_embeddings
       SCREAMING_SNAKE_CASE_      		=     initializer_range
       SCREAMING_SNAKE_CASE_      		=     layer_norm_eps
       SCREAMING_SNAKE_CASE_      		=     position_embedding_type
       SCREAMING_SNAKE_CASE_      		=     use_cache
       SCREAMING_SNAKE_CASE_      		=     tie_word_embeddings
       SCREAMING_SNAKE_CASE_      		=     num_image_with_embedding

       SCREAMING_SNAKE_CASE_      		=     bos_token_id
       SCREAMING_SNAKE_CASE_      		=     eos_token_id




 def  lowerCAmelCase_    (				self    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     copy.deepcopy(self.__dict__		)
       SCREAMING_SNAKE_CASE_      		=     self.vision_config.to_dict()
       SCREAMING_SNAKE_CASE_      		=     self.__class__.model_type
       return output


'''simple docstring'''

def 					__UpperCamelCase				(						lowercase__    :	int			):






     '''simple docstring'''





     if upper_limit < 0:
          raise ValueError('Limit for the Catalan sequence must be ≥ 0'			)

     __lowercase      		=[0] * (upper_limit + 1)

     # Base case: C(0) = C(1) = 1
     __lowercase      		=1
     if upper_limit > 0:
          __lowercase      		=1

     # Recurrence relation: C(i) = sum(C(j).C(i-j-1)), from j = 0 to i
     for i in range(2,       upper_limit + 1			):
          for j in range(lowercase__			):
               catalan_list[i] += catalan_list[j] * catalan_list[i - j - 1]

     return catalan_list


if __name__ == "__main__":
       print('''\n********* Catalan Numbers Using Dynamic Programming ************\n''')
       print('''\n*** Enter -1 at any time to quit ***''')
       print('''\nEnter the upper limit (≥ 0) for the Catalan number sequence: ''', end='''''')
       try:
              while True:
                     UpperCAmelCase					 =	int(input().strip())
                     if N < 0:
                            print('''\n********* Goodbye!! ************''')
                            break
                     else:
                            print(F'''The Catalan numbers from 0 through {N} are:''')
                            print(catalan_numbers(N))
                            print('''Try another upper limit for the sequence: ''', end='''''')
       except (NameError, ValueError):
              print('''\n********* Invalid input, goodbye! ************\n''')

       import doctest

       doctest.testmod()


