'''simple docstring'''




import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING


_lowercase		:				List[str]	       =		logging.get_logger(__name__)

_lowercase		:				List[Any]	       =		{
    "Salesforce/instruct-blip-flan-t5": "https://huggingface.co/Salesforce/instruct-blip-flan-t5/resolve/main/config.json",
}





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = '''instructblip_vision_model'''







			def __init__(			self       :						Union[str, Any]       ,    lowercase_       :						List[str]=1408       ,    lowercase_       :						Dict=6144       ,    lowercase_       :						Optional[int]=39       ,    lowercase_       :						Dict=16       ,    lowercase_       :						Tuple=224       ,    lowercase_       :						int=14       ,    lowercase_       :						Optional[int]="gelu"       ,    lowercase_       :						Dict=1E-6       ,    lowercase_       :						List[Any]=0.0       ,    lowercase_       :						Tuple=1E-10       ,    lowercase_       :						Union[str, Any]=True       ,    **lowercase_       :						Optional[Any]       ,    ):
										super().__init__(**lowercase_					)

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







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

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

										# get the vision config dict if we are loading from InstructBlipConfig
										if config_dict.get("""model_type"""					) == "instructblip":
																	lowercase_      :    List[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(lowercase_       ,    **lowercase_					)





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = '''instructblip_qformer'''







			def __init__(			self       :						Any       ,    lowercase_       :						Optional[Any]=30522       ,    lowercase_       :						List[str]=768       ,    lowercase_       :						int=12       ,    lowercase_       :						List[Any]=12       ,    lowercase_       :						int=3072       ,    lowercase_       :						str="gelu"       ,    lowercase_       :						Union[str, Any]=0.1       ,    lowercase_       :						Optional[int]=0.1       ,    lowercase_       :						str=512       ,    lowercase_       :						Union[str, Any]=0.02       ,    lowercase_       :						Dict=1E-12       ,    lowercase_       :						Optional[int]=0       ,    lowercase_       :						Union[str, Any]="absolute"       ,    lowercase_       :						Union[str, Any]=2       ,    lowercase_       :						Dict=1408       ,    **lowercase_       :						int       ,    ):
										super().__init__(pad_token_id=lowercase_       ,    **lowercase_					)

										lowercase_      :    Tuple       		= vocab_size
										lowercase_      :    List[Any]       		= hidden_size
										lowercase_      :    List[Any]       		= num_hidden_layers
										lowercase_      :    int       		= num_attention_heads
										lowercase_      :    Dict       		= hidden_act
										lowercase_      :    str       		= intermediate_size
										lowercase_      :    Tuple       		= hidden_dropout_prob
										lowercase_      :    Dict       		= attention_probs_dropout_prob
										lowercase_      :    Union[str, Any]       		= max_position_embeddings
										lowercase_      :    List[str]       		= initializer_range
										lowercase_      :    Union[str, Any]       		= layer_norm_eps
										lowercase_      :    Tuple       		= position_embedding_type
										lowercase_      :    Tuple       		= cross_attention_frequency
										lowercase_      :    List[Any]       		= encoder_hidden_size







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

										lowercase_		,		lowercase_      :    List[str]       		= cls.get_config_dict(lowercase_       ,    **lowercase_					)

										# get the qformer config dict if we are loading from InstructBlipConfig
										if config_dict.get("""model_type"""					) == "instructblip":
																	lowercase_      :    Dict       		= config_dict["""qformer_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(lowercase_       ,    **lowercase_					)





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = '''instructblip'''
			UpperCamelCase__       = True







			def __init__(			self       :						Optional[Any]       ,    lowercase_       :						str=None       ,    lowercase_       :						List[str]=None       ,    lowercase_       :						Tuple=None       ,    lowercase_       :						Union[str, Any]=32       ,    **lowercase_       :						List[Any]					):
										super().__init__(**lowercase_					)

										if vision_config is None:
																	lowercase_      :    str       		= {}
																	logger.info("""vision_config is None. initializing the InstructBlipVisionConfig with default values."""					)

										if qformer_config is None:
																	lowercase_      :    List[Any]       		= {}
																	logger.info("""qformer_config is None. Initializing the InstructBlipQFormerConfig with default values."""					)

										if text_config is None:
																	lowercase_      :    Union[str, Any]       		= {}
																	logger.info("""text_config is None. Initializing the text config with default values (`OPTConfig`)."""					)

										lowercase_      :    Any       		= InstructBlipVisionConfig(**lowercase_					)
										lowercase_      :    Optional[Any]       		= InstructBlipQFormerConfig(**lowercase_					)
										lowercase_      :    Dict       		= text_config["""model_type"""] if """model_type""" in text_config else """opt"""
										lowercase_      :    Tuple       		= CONFIG_MAPPING[text_model_type](**lowercase_					)

										lowercase_      :    Any       		= self.text_config.tie_word_embeddings
										lowercase_      :    List[str]       		= self.text_config.is_encoder_decoder

										lowercase_      :    int       		= num_query_tokens
										lowercase_      :    Tuple       		= self.vision_config.hidden_size
										lowercase_      :    List[Any]       		= self.text_config.model_type in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
										lowercase_      :    List[str]       		= 1.0
										lowercase_      :    Union[str, Any]       		= 0.02







			@classmethod
			def 			SCREAMING_SNAKE_CASE_  (			cls       :						str       ,    lowercase_       :						InstructBlipVisionConfig       ,    lowercase_       :						InstructBlipQFormerConfig       ,    lowercase_       :						PretrainedConfig       ,    **lowercase_       :						int       ,    ):
										return cls(
										    vision_config=vision_config.to_dict()       ,    qformer_config=qformer_config.to_dict()       ,    text_config=text_config.to_dict()       ,    **lowercase_       ,    )







			def 			SCREAMING_SNAKE_CASE_  (			self       :						List[Any]					):
										lowercase_      :    Optional[Any]       		= copy.deepcopy(self.__dict__					)
										lowercase_      :    Optional[Any]       		= self.vision_config.to_dict()
										lowercase_      :    Any       		= self.qformer_config.to_dict()
										lowercase_      :    Dict       		= self.text_config.to_dict()
										lowercase_      :    List[str]       		= self.__class__.model_type
										return output






'''simple docstring'''




import argparse


_lowercase		:				Optional[int]	       =		"docs/source/_static/js/custom.js"




def 							lowerCamelCase			(   UpperCAmelCase__ :      Tuple				)    ->   Dict:
							with open(UpperCAmelCase__   ,   encoding="""utf-8"""   ,   newline="""\n"""				) as f:
														lowercase_      :    Optional[int]       		= f.readlines()
							lowercase_      :    Tuple       		= 0

							# First let's put the right version
							while not lines[index].startswith("""const stableVersion ="""				):
														index += 1
							lowercase_      :    Optional[Any]       		= F'''const stableVersion = "v{version}"\n'''

							# Then update the dictionary
							while not lines[index].startswith("""const versionMapping = {"""				):
														index += 1

							# We go until the end
							while not lines[index].startswith("""}"""				):
														index += 1
							# We add the new version at the end
							lines[index - 1] += F'''    "v{version}": "v{version}",\n'''

							with open(UpperCAmelCase__   ,   """w"""   ,   encoding="""utf-8"""   ,   newline="""\n"""				) as f:
														f.writelines(UpperCAmelCase__				)


if __name__ == "__main__":
						_lowercase		:				Union[str, Any]	       =		argparse.ArgumentParser()
						parser.add_argument("--version", help="Release version.")
						_lowercase		:				Dict	       =		parser.parse_args()
						update_custom_js(args.version)





