

import copy
import os
from typing import Union

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


A									=  logging.get_logger(__name__)

A									=  {
    'Salesforce/blip-vqa-base': 'https://huggingface.co/Salesforce/blip-vqa-base/resolve/main/config.json',
    'Salesforce/blip-vqa-capfit-large': (
        'https://huggingface.co/Salesforce/blip-vqa-base-capfit/resolve/main/config.json'
    ),
    'Salesforce/blip-image-captioning-base': (
        'https://huggingface.co/Salesforce/blip-image-captioning-base/resolve/main/config.json'
    ),
    'Salesforce/blip-image-captioning-large': (
        'https://huggingface.co/Salesforce/blip-image-captioning-large/resolve/main/config.json'
    ),
    'Salesforce/blip-itm-base-coco': 'https://huggingface.co/Salesforce/blip-itm-base-coco/resolve/main/config.json',
    'Salesforce/blip-itm-large-coco': 'https://huggingface.co/Salesforce/blip-itm-large-coco/resolve/main/config.json',
    'Salesforce/blip-itm-base-flikr': 'https://huggingface.co/Salesforce/blip-itm-base-flikr/resolve/main/config.json',
    'Salesforce/blip-itm-large-flikr': (
        'https://huggingface.co/Salesforce/blip-itm-large-flikr/resolve/main/config.json'
    ),
}


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""blip_text_model"""


			def __init__(     self			,					__UpperCamelCase=3_05_24			,					__UpperCamelCase=7_68			,					__UpperCamelCase=7_68			,					__UpperCamelCase=30_72			,					__UpperCamelCase=7_68			,					__UpperCamelCase=12			,					__UpperCamelCase=8			,					__UpperCamelCase=5_12			,					__UpperCamelCase="gelu"			,					__UpperCamelCase=1E-12			,					__UpperCamelCase=0.0			,					__UpperCamelCase=0.0			,					__UpperCamelCase=0.02			,					__UpperCamelCase=3_05_22			,					__UpperCamelCase=2			,					__UpperCamelCase=0			,					__UpperCamelCase=1_02			,					__UpperCamelCase=True			,					__UpperCamelCase=True			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				super().__init__(
				    pad_token_id=__UpperCamelCase			,					bos_token_id=__UpperCamelCase			,					eos_token_id=__UpperCamelCase			,					sep_token_id=__UpperCamelCase			,					**__UpperCamelCase			,					)

				snake_case_   		=			vocab_size
				snake_case_   		=			hidden_size
				snake_case_   		=			encoder_hidden_size
				snake_case_   		=			intermediate_size
				snake_case_   		=			projection_dim
				snake_case_   		=			hidden_dropout_prob
				snake_case_   		=			num_hidden_layers
				snake_case_   		=			num_attention_heads
				snake_case_   		=			max_position_embeddings
				snake_case_   		=			layer_norm_eps
				snake_case_   		=			hidden_act
				snake_case_   		=			initializer_range
				snake_case_   		=			attention_probs_dropout_prob
				snake_case_   		=			is_decoder
				snake_case_   		=			use_cache







			@classmethod
			def       __lowerCAmelCase			(     cls			,					__UpperCamelCase			,					**__UpperCamelCase				):

				"""simple docstring"""


				cls._set_token_in_kwargs(__UpperCamelCase				)

				snake_case_		,							snake_case_   		=			cls.get_config_dict(__UpperCamelCase			,					**__UpperCamelCase				)

				# get the text config dict if we are loading from BlipConfig
				if config_dict.get('model_type'				) == "blip":
					snake_case_   		=			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(__UpperCamelCase			,					**__UpperCamelCase				)







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""blip_vision_model"""


			def __init__(     self			,					__UpperCamelCase=7_68			,					__UpperCamelCase=30_72			,					__UpperCamelCase=5_12			,					__UpperCamelCase=12			,					__UpperCamelCase=12			,					__UpperCamelCase=3_84			,					__UpperCamelCase=16			,					__UpperCamelCase="gelu"			,					__UpperCamelCase=1E-5			,					__UpperCamelCase=0.0			,					__UpperCamelCase=1E-10			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				super().__init__(**__UpperCamelCase				)

				snake_case_   		=			hidden_size
				snake_case_   		=			intermediate_size
				snake_case_   		=			projection_dim
				snake_case_   		=			num_hidden_layers
				snake_case_   		=			num_attention_heads
				snake_case_   		=			patch_size
				snake_case_   		=			image_size
				snake_case_   		=			initializer_range
				snake_case_   		=			attention_dropout
				snake_case_   		=			layer_norm_eps
				snake_case_   		=			hidden_act







			@classmethod
			def       __lowerCAmelCase			(     cls			,					__UpperCamelCase			,					**__UpperCamelCase				):

				"""simple docstring"""


				cls._set_token_in_kwargs(__UpperCamelCase				)

				snake_case_		,							snake_case_   		=			cls.get_config_dict(__UpperCamelCase			,					**__UpperCamelCase				)

				# get the vision config dict if we are loading from BlipConfig
				if config_dict.get('model_type'				) == "blip":
					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(__UpperCamelCase			,					**__UpperCamelCase				)







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""blip"""
			__A    	=	True


			def __init__(     self			,					__UpperCamelCase=None			,					__UpperCamelCase=None			,					__UpperCamelCase=5_12			,					__UpperCamelCase=2.6592			,					__UpperCamelCase=2_56			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				super().__init__(**__UpperCamelCase				)

				if text_config is None:
					snake_case_   		=			{}
					logger.info('`text_config` is `None`. Initializing the `BlipTextConfig` with default values.'				)

				if vision_config is None:
					snake_case_   		=			{}
					logger.info('`vision_config` is `None`. Initializing the `BlipVisionConfig` with default values.'				)

				snake_case_   		=			BlipTextConfig(**__UpperCamelCase				)
				snake_case_   		=			BlipVisionConfig(**__UpperCamelCase				)

				snake_case_   		=			self.vision_config.hidden_size

				snake_case_   		=			projection_dim
				snake_case_   		=			logit_scale_init_value
				snake_case_   		=			1.0
				snake_case_   		=			0.02
				snake_case_   		=			image_text_hidden_size


			@classmethod
			def       __lowerCAmelCase			(     cls			,					__UpperCamelCase			,					__UpperCamelCase			,					**__UpperCamelCase				):

				"""simple docstring"""


				return cls(text_config=text_config.to_dict()			,					vision_config=vision_config.to_dict()			,					**__UpperCamelCase				)







			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			copy.deepcopy(self.__dict__				)
				snake_case_   		=			self.text_config.to_dict()
				snake_case_   		=			self.vision_config.to_dict()
				snake_case_   		=			self.__class__.model_type
				return output



from itertools import count





def a(lowercase__ = 50						):





	'''simple docstring'''
	snake_case_   		=			[1] * min_block_length

	for n in count(lowercase__						):
		fill_count_functions.append(1						)

		for block_length in range(lowercase__      ,			n + 1						):
			for block_start in range(n - block_length						):
				fill_count_functions[n] += fill_count_functions[
				    n - block_start - block_length - 1
				]

			fill_count_functions[n] += 1

		if fill_count_functions[n] > 1000000:
			break

	return n


if __name__ == "__main__":
		print(f"""{solution() = }""")
