




"""simple docstring"""

import copy
import os
from typing import TYPE_CHECKING, List, Union


if TYPE_CHECKING:
  pass

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


__magic_name__				     =     logging.get_logger(__name__)

__magic_name__				     =     {
    """kakaobrain/align-base""": """https://huggingface.co/kakaobrain/align-base/resolve/main/config.json""",
}






class        SCREAMING_SNAKE_CASE__   (						UpperCAmelCase_      ):
   snake_case			   =       "align_text_model"
   def __init__(       self			:				Any   ,	SCREAMING_SNAKE_CASE_			:				Optional[int]=3_0522   ,	SCREAMING_SNAKE_CASE_			:				Optional[int]=768   ,	SCREAMING_SNAKE_CASE_			:				str=12   ,	SCREAMING_SNAKE_CASE_			:				Union[str, Any]=12   ,	SCREAMING_SNAKE_CASE_			:				List[Any]=3072   ,	SCREAMING_SNAKE_CASE_			:				List[str]="gelu"   ,	SCREAMING_SNAKE_CASE_			:				Optional[int]=0.1   ,	SCREAMING_SNAKE_CASE_			:				str=0.1   ,	SCREAMING_SNAKE_CASE_			:				Optional[int]=512   ,	SCREAMING_SNAKE_CASE_			:				Optional[Any]=2   ,	SCREAMING_SNAKE_CASE_			:				List[Any]=0.0_2   ,	SCREAMING_SNAKE_CASE_			:				List[Any]=1e-12   ,	SCREAMING_SNAKE_CASE_			:				List[str]=0   ,	SCREAMING_SNAKE_CASE_			:				List[str]="absolute"   ,	SCREAMING_SNAKE_CASE_			:				Tuple=True   ,	**SCREAMING_SNAKE_CASE_			:				Optional[Any]   ,	):
          super().__init__(**_snake_case							)

          lowerCamelCase__          =						vocab_size
          lowerCamelCase__          =						hidden_size
          lowerCamelCase__          =						num_hidden_layers
          lowerCamelCase__          =						num_attention_heads
          lowerCamelCase__          =						hidden_act
          lowerCamelCase__          =						intermediate_size
          lowerCamelCase__          =						hidden_dropout_prob
          lowerCamelCase__          =						attention_probs_dropout_prob
          lowerCamelCase__          =						max_position_embeddings
          lowerCamelCase__          =						type_vocab_size
          lowerCamelCase__          =						initializer_range
          lowerCamelCase__          =						layer_norm_eps
          lowerCamelCase__          =						position_embedding_type
          lowerCamelCase__          =						use_cache
          lowerCamelCase__          =						pad_token_id





   @classmethod
   def    __UpperCAmelCase       (       cls			:				List[str]   ,	SCREAMING_SNAKE_CASE_			:				Union[str, os.PathLike]   ,	**SCREAMING_SNAKE_CASE_			:				List[str]							):
          cls._set_token_in_kwargs(_snake_case							)

          lowerCamelCase__     ,	lowerCamelCase__          =						cls.get_config_dict(_snake_case   ,	**_snake_case							)

          # get the text config dict if we are loading from AlignConfig
          if config_dict.get("""model_type"""							) == "align":
                 lowerCamelCase__          =						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(_snake_case   ,	**_snake_case							)






class        SCREAMING_SNAKE_CASE__   (						UpperCAmelCase_      ):
   snake_case			   =       "align_vision_model"
   def __init__(       self			:				Union[str, Any]   ,	SCREAMING_SNAKE_CASE_			:				int = 3   ,	SCREAMING_SNAKE_CASE_			:				int = 600   ,	SCREAMING_SNAKE_CASE_			:				float = 2.0   ,	SCREAMING_SNAKE_CASE_			:				float = 3.1   ,	SCREAMING_SNAKE_CASE_			:				int = 8   ,	SCREAMING_SNAKE_CASE_			:				List[int] = [3, 3, 5, 3, 5, 5, 3]   ,	SCREAMING_SNAKE_CASE_			:				List[int] = [32, 16, 24, 40, 80, 112, 192]   ,	SCREAMING_SNAKE_CASE_			:				List[int] = [16, 24, 40, 80, 112, 192, 320]   ,	SCREAMING_SNAKE_CASE_			:				List[int] = []   ,	SCREAMING_SNAKE_CASE_			:				List[int] = [1, 2, 2, 2, 1, 2, 1]   ,	SCREAMING_SNAKE_CASE_			:				List[int] = [1, 2, 2, 3, 3, 4, 1]   ,	SCREAMING_SNAKE_CASE_			:				List[int] = [1, 6, 6, 6, 6, 6, 6]   ,	SCREAMING_SNAKE_CASE_			:				float = 0.2_5   ,	SCREAMING_SNAKE_CASE_			:				str = "swish"   ,	SCREAMING_SNAKE_CASE_			:				int = 2560   ,	SCREAMING_SNAKE_CASE_			:				str = "mean"   ,	SCREAMING_SNAKE_CASE_			:				float = 0.0_2   ,	SCREAMING_SNAKE_CASE_			:				float = 0.0_0_1   ,	SCREAMING_SNAKE_CASE_			:				float = 0.9_9   ,	SCREAMING_SNAKE_CASE_			:				float = 0.2   ,	**SCREAMING_SNAKE_CASE_			:				Tuple   ,	):
          super().__init__(**_snake_case							)

          lowerCamelCase__          =						num_channels
          lowerCamelCase__          =						image_size
          lowerCamelCase__          =						width_coefficient
          lowerCamelCase__          =						depth_coefficient
          lowerCamelCase__          =						depth_divisor
          lowerCamelCase__          =						kernel_sizes
          lowerCamelCase__          =						in_channels
          lowerCamelCase__          =						out_channels
          lowerCamelCase__          =						depthwise_padding
          lowerCamelCase__          =						strides
          lowerCamelCase__          =						num_block_repeats
          lowerCamelCase__          =						expand_ratios
          lowerCamelCase__          =						squeeze_expansion_ratio
          lowerCamelCase__          =						hidden_act
          lowerCamelCase__          =						hidden_dim
          lowerCamelCase__          =						pooling_type
          lowerCamelCase__          =						initializer_range
          lowerCamelCase__          =						batch_norm_eps
          lowerCamelCase__          =						batch_norm_momentum
          lowerCamelCase__          =						drop_connect_rate
          lowerCamelCase__          =						sum(_snake_case							) * 4





   @classmethod
   def    __UpperCAmelCase       (       cls			:				List[str]   ,	SCREAMING_SNAKE_CASE_			:				Union[str, os.PathLike]   ,	**SCREAMING_SNAKE_CASE_			:				Optional[int]							):
          cls._set_token_in_kwargs(_snake_case							)

          lowerCamelCase__     ,	lowerCamelCase__          =						cls.get_config_dict(_snake_case   ,	**_snake_case							)

          # get the vision config dict if we are loading from AlignConfig
          if config_dict.get("""model_type"""							) == "align":
                 lowerCamelCase__          =						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(_snake_case   ,	**_snake_case							)






class        SCREAMING_SNAKE_CASE__   (						UpperCAmelCase_      ):
   snake_case			   =       "align"
   snake_case			   =       True
   def __init__(       self			:				Optional[int]   ,	SCREAMING_SNAKE_CASE_			:				Union[str, Any]=None   ,	SCREAMING_SNAKE_CASE_			:				Union[str, Any]=None   ,	SCREAMING_SNAKE_CASE_			:				Optional[int]=640   ,	SCREAMING_SNAKE_CASE_			:				List[str]=1.0   ,	SCREAMING_SNAKE_CASE_			:				Union[str, Any]=0.0_2   ,	**SCREAMING_SNAKE_CASE_			:				Tuple   ,	):
          super().__init__(**_snake_case							)

          if text_config is None:
                 lowerCamelCase__          =						{}
                 logger.info("""text_config is None. Initializing the AlignTextConfig with default values."""							)

          if vision_config is None:
                 lowerCamelCase__          =						{}
                 logger.info("""vision_config is None. Initializing the AlignVisionConfig with default values."""							)

          lowerCamelCase__          =						AlignTextConfig(**_snake_case							)
          lowerCamelCase__          =						AlignVisionConfig(**_snake_case							)

          lowerCamelCase__          =						projection_dim
          lowerCamelCase__          =						temperature_init_value
          lowerCamelCase__          =						initializer_range
   @classmethod
   def    __UpperCAmelCase       (       cls			:				Union[str, Any]   ,	SCREAMING_SNAKE_CASE_			:				AlignTextConfig   ,	SCREAMING_SNAKE_CASE_			:				AlignVisionConfig   ,	**SCREAMING_SNAKE_CASE_			:				Optional[int]							):
          return cls(text_config=text_config.to_dict()   ,	vision_config=vision_config.to_dict()   ,	**_snake_case							)





   def    __UpperCAmelCase       (       self			:				List[str]							):
          lowerCamelCase__          =						copy.deepcopy(self.__dict__							)
          lowerCamelCase__          =						self.text_config.to_dict()
          lowerCamelCase__          =						self.vision_config.to_dict()
          lowerCamelCase__          =						self.__class__.model_type
          return output











import argparse
from collections import defaultdict

import yaml


SCREAMING_SNAKE_CASE__   			=   '''docs/source/en/_toctree.yml'''


def A    (							__UpperCamelCase       )    ->   Optional[Any]:
			A__	  =     defaultdict(__UpperCamelCase       )
			for doc in model_doc:
						counts[doc["local"]] += 1
			A__	  =     [key for key, value in counts.items() if value > 1]

			A__	  =     []
			for duplicate_key in duplicates:
						A__	  =     list({doc['title'] for doc in model_doc if doc['local'] == duplicate_key}       )
						if len(__UpperCamelCase       ) > 1:
									raise ValueError(
									    f'''{duplicate_key} is present several times in the documentation table of content at '''
									    '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
									    'others.'       )
						# Only add this once
						new_doc.append({'local': duplicate_key, 'title': titles[0]}       )

			# Add none duplicate-keys
			new_doc.extend([doc for doc in model_doc if counts[doc['local']] == 1]       )

			# Sort
			return sorted(__UpperCamelCase			,						key=lambda __UpperCamelCase       : s["title"].lower()       )


def A    (							__UpperCamelCase=False       )    ->   str:
			with open(__UpperCamelCase			,						encoding='utf-8'       ) as f:
						A__	  =     yaml.safe_load(f.read()       )

			# Get to the API doc
			A__	  =     0
			while content[api_idx]["title"] != "API":
						api_idx += 1
			A__	  =     content[api_idx]['sections']

			# Then to the model doc
			A__	  =     0
			while api_doc[model_idx]["title"] != "Models":
						model_idx += 1

			A__	  =     api_doc[model_idx]['sections']

			A__	  =     [(idx, section) for idx, section in enumerate(__UpperCamelCase       ) if 'sections' in section]
			A__	  =     False
			for idx, modality_doc in modalities_docs:
						A__	  =     modality_doc['sections']
						A__	  =     clean_model_doc_toc(__UpperCamelCase       )

						if old_modality_doc != new_modality_doc:
									A__	  =     True
									if overwrite:
												A__	  =     new_modality_doc

			if diff:
						if overwrite:
									A__	  =     model_doc
									A__	  =     api_doc
									with open(__UpperCamelCase			,						'w'			,						encoding='utf-8'       ) as f:
												f.write(yaml.dump(__UpperCamelCase			,						allow_unicode=__UpperCamelCase       )       )
						else:
									raise ValueError(
									    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'       )


if __name__ == "__main__":
							SCREAMING_SNAKE_CASE__   			=   argparse.ArgumentParser()
							parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
							SCREAMING_SNAKE_CASE__   			=   parser.parse_args()

							check_model_doc(args.fix_and_overwrite)




