




"""simple docstring"""






import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__ ):
				_lowerCamelCase  :    Union[str, Any]					=					1.5
				_lowerCamelCase  :    Any					=					int(factor * num_class_images )
				_lowerCamelCase  :    Any					=					ClipClient(
				    url='https://knn.laion.ai/knn-service'							,					indice_name='laion_400m'							,					num_images=__UpperCamelCase							,					aesthetic_weight=0.1 )

				os.makedirs(f'''{class_data_dir}/images'''							,					exist_ok=__UpperCamelCase )
				if len(list(Path(f'''{class_data_dir}/images''' ).iterdir() ) ) >= num_class_images:
								return

				while True:
								_lowerCamelCase  :    Dict					=					client.query(text=__UpperCamelCase )
								if len(__UpperCamelCase ) >= factor * num_class_images or num_images > 1E4:
												break
								else:
												_lowerCamelCase  :    Union[str, Any]					=					int(factor * num_images )
												_lowerCamelCase  :    str					=					ClipClient(
												    url='https://knn.laion.ai/knn-service'							,					indice_name='laion_400m'							,					num_images=__UpperCamelCase							,					aesthetic_weight=0.1							,					)

				_lowerCamelCase  :    Optional[Any]					=					0
				_lowerCamelCase  :    int					=					0
				_lowerCamelCase  :    str					=					tqdm(desc='downloading real regularization images'							,					total=__UpperCamelCase )

				with open(f'''{class_data_dir}/caption.txt'''							,					'w' ) as fa, open(f'''{class_data_dir}/urls.txt'''							,					'w' ) as fa, open(
				    f'''{class_data_dir}/images.txt'''							,					'w' ) as fa:
								while total < num_class_images:
												_lowerCamelCase  :    int					=					class_images[count]
												count += 1
												try:
																_lowerCamelCase  :    List[Any]					=					requests.get(images['url'] )
																if img.status_code == 200:
																				_lowerCamelCase  :    List[str]					=					Image.open(BytesIO(img.content ) )
																				with open(f'''{class_data_dir}/images/{total}.jpg'''							,					'wb' ) as f:
																								f.write(img.content )
																				fa.write(images['caption'] + '\n' )
																				fa.write(images['url'] + '\n' )
																				fa.write(f'''{class_data_dir}/images/{total}.jpg''' + '\n' )
																				total += 1
																				pbar.update(1 )
																else:
																				continue
												except Exception:
																continue
				return







def   _snake_case    (       ):
				_lowerCamelCase  :    Optional[Any]					=					argparse.ArgumentParser(''							,					add_help=__UpperCamelCase )
				parser.add_argument('--class_prompt'							,					help='text prompt to retrieve images'							,					required=__UpperCamelCase							,					type=__UpperCamelCase )
				parser.add_argument('--class_data_dir'							,					help='path to save images'							,					required=__UpperCamelCase							,					type=__UpperCamelCase )
				parser.add_argument('--num_class_images'							,					help='number of images to download'							,					default=200							,					type=__UpperCamelCase )
				return parser.parse_args()


if __name__ == "__main__":
			lowercase__  		=		parse_args()
			retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)





"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    """facebook/deit-base-distilled-patch16-224""": (
        """https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"""
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    """deit"""
			def __init__(						self						,   lowercase=768						,   lowercase=12						,   lowercase=12						,   lowercase=3072						,   lowercase="gelu"						,   lowercase=0.0						,   lowercase=0.0						,   lowercase=0.02						,   lowercase=1E-12						,   lowercase=224						,   lowercase=16						,   lowercase=3						,   lowercase=True						,   lowercase=16						,   **lowercase						,   ):
							super().__init__(**lowercase						)

							_lowerCamelCase  :    Optional[Any]					=					hidden_size
							_lowerCamelCase  :    List[str]					=					num_hidden_layers
							_lowerCamelCase  :    Tuple					=					num_attention_heads
							_lowerCamelCase  :    Any					=					intermediate_size
							_lowerCamelCase  :    int					=					hidden_act
							_lowerCamelCase  :    Any					=					hidden_dropout_prob
							_lowerCamelCase  :    str					=					attention_probs_dropout_prob
							_lowerCamelCase  :    str					=					initializer_range
							_lowerCamelCase  :    Union[str, Any]					=					layer_norm_eps
							_lowerCamelCase  :    Optional[Any]					=					image_size
							_lowerCamelCase  :    Optional[int]					=					patch_size
							_lowerCamelCase  :    Dict					=					num_channels
							_lowerCamelCase  :    Dict					=					qkv_bias
							_lowerCamelCase  :    Dict					=					encoder_stride






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    version.parse("""1.11"""		)
			@property
			def       A_					(						self						):
							return OrderedDict(
							    [
							        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
							    ]						)






			@property
			def       A_					(						self						):
							return 1E-4