'''simple docstring'''




import copy
import os
from typing import Union

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


__lowercase        =    logging.get_logger(__name__)

__lowercase        =    {
    '''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 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Optional[Any]						=			'''blip_text_model'''



			def __init__(  self			,       __lowerCAmelCase=30524			,       __lowerCAmelCase=768			,       __lowerCAmelCase=768			,       __lowerCAmelCase=3072			,       __lowerCAmelCase=768			,       __lowerCAmelCase=12			,       __lowerCAmelCase=8			,       __lowerCAmelCase=512			,       __lowerCAmelCase="gelu"			,       __lowerCAmelCase=1E-1_2			,       __lowerCAmelCase=0.0			,       __lowerCAmelCase=0.0			,       __lowerCAmelCase=0.02			,       __lowerCAmelCase=30522			,       __lowerCAmelCase=2			,       __lowerCAmelCase=0			,       __lowerCAmelCase=102			,       __lowerCAmelCase=True			,       __lowerCAmelCase=True			,       **__lowerCAmelCase			,       ):




					"""simple docstring"""


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

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







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




					"""simple docstring"""


					cls._set_token_in_kwargs(__lowerCAmelCase)

					lowerCAmelCase   ,	lowerCAmelCase     =    cls.get_config_dict(__lowerCAmelCase			,       **__lowerCAmelCase)

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







class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Union[str, Any]						=			'''blip_vision_model'''



			def __init__(  self			,       __lowerCAmelCase=768			,       __lowerCAmelCase=3072			,       __lowerCAmelCase=512			,       __lowerCAmelCase=12			,       __lowerCAmelCase=12			,       __lowerCAmelCase=384			,       __lowerCAmelCase=16			,       __lowerCAmelCase="gelu"			,       __lowerCAmelCase=1E-5			,       __lowerCAmelCase=0.0			,       __lowerCAmelCase=1E-1_0			,       **__lowerCAmelCase			,       ):




					"""simple docstring"""


					super().__init__(**__lowerCAmelCase)

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







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




					"""simple docstring"""


					cls._set_token_in_kwargs(__lowerCAmelCase)

					lowerCAmelCase   ,	lowerCAmelCase     =    cls.get_config_dict(__lowerCAmelCase			,       **__lowerCAmelCase)

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







class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Any						=			'''blip'''
			UpperCAmelCase_     :	Optional[Any]						=			True



			def __init__(  self			,       __lowerCAmelCase=None			,       __lowerCAmelCase=None			,       __lowerCAmelCase=512			,       __lowerCAmelCase=2.6592			,       __lowerCAmelCase=256			,       **__lowerCAmelCase			,       ):




					"""simple docstring"""


					super().__init__(**__lowerCAmelCase)

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

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

					lowerCAmelCase     =    BlipTextConfig(**__lowerCAmelCase)
					lowerCAmelCase     =    BlipVisionConfig(**__lowerCAmelCase)

					lowerCAmelCase     =    self.vision_config.hidden_size

					lowerCAmelCase     =    projection_dim
					lowerCAmelCase     =    logit_scale_init_value
					lowerCAmelCase     =    1.0
					lowerCAmelCase     =    0.02
					lowerCAmelCase     =    image_text_hidden_size



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




					"""simple docstring"""


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







			def 				a_			(  self):




					"""simple docstring"""


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





'''simple docstring'''




from __future__ import annotations

import math






def 							snake_case__				(     _A:   int					)       ->      list[int]:

		'''simple docstring'''


		if num <= 0:
				lowerCAmelCase     =    f"{num}: Invalid input, please enter a positive integer."
				raise ValueError(_A					)

		lowerCAmelCase     =    [True] * (num + 1)
		lowerCAmelCase     =    []
		lowerCAmelCase     =    2
		lowerCAmelCase     =    int(math.sqrt(_A					)					)

		while start <= end:
				# If start is a prime
				if sieve[start] is True:
						prime.append(_A					)

						# Set multiples of start be False
						for i in range(start * start ,  num + 1 ,  _A					):
								if sieve[i] is True:
										lowerCAmelCase     =    False

				start += 1

		for j in range(end + 1 ,  num + 1					):
				if sieve[j] is True:
						prime.append(_A					)

		return prime


if __name__ == "__main__":
						print(prime_sieve(int(input('''Enter a positive integer: ''').strip())))




