





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       _UpperCamelCase       (a__				:int				,     a__				:Optional[Any]				,     a__				:Optional[Any]    ):






							"""simple docstring"""





							UpperCamelCase__			       =     1.5
							UpperCamelCase__			       =     int(factor * num_class_images    )
							UpperCamelCase__			       =     ClipClient(
							    url="""https://knn.laion.ai/knn-service"""				,     indice_name="""laion_400m"""				,     num_images=a__				,     aesthetic_weight=0.1    )

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

							while True:
														UpperCamelCase__			       =     client.query(text=a__    )
														if len(a__    ) >= factor * num_class_images or num_images > 1e4:
																					break
														else:
																					UpperCamelCase__			       =     int(factor * num_images    )
																					UpperCamelCase__			       =     ClipClient(
																					    url="""https://knn.laion.ai/knn-service"""				,     indice_name="""laion_400m"""				,     num_images=a__				,     aesthetic_weight=0.1				,     )

							UpperCamelCase__			       =     0
							UpperCamelCase__			       =     0
							UpperCamelCase__			       =     tqdm(desc="""downloading real regularization images"""				,     total=a__    )

							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:
																					UpperCamelCase__			       =     class_images[count]
																					count += 1
																					try:
																												UpperCamelCase__			       =     requests.get(images["""url"""]    )
																												if img.status_code == 200:
																																			UpperCamelCase__			       =     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       _UpperCamelCase       ():






							"""simple docstring"""





							UpperCamelCase__			       =     argparse.ArgumentParser(""""""				,     add_help=a__    )
							parser.add_argument("""--class_prompt"""				,     help="""text prompt to retrieve images"""				,     required=a__				,     type=a__    )
							parser.add_argument("""--class_data_dir"""				,     help="""path to save images"""				,     required=a__				,     type=a__    )
							parser.add_argument("""--num_class_images"""				,     help="""number of images to download"""				,     default=200				,     type=a__    )
							return parser.parse_args()


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











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


UpperCamelCase__     =	logging.get_logger(__name__)

UpperCamelCase__     =	{
    "microsoft/cvt-13": "https://huggingface.co/microsoft/cvt-13/resolve/main/config.json",
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}

class     __SCREAMING_SNAKE_CASE   (       _a    ):
							snake_case       : int         =    """cvt"""






							def __init__(  self					,	__lowerCAmelCase=3					,	__lowerCAmelCase=[7, 3, 3]					,	__lowerCAmelCase=[4, 2, 2]					,	__lowerCAmelCase=[2, 1, 1]					,	__lowerCAmelCase=[64, 192, 384]					,	__lowerCAmelCase=[1, 3, 6]					,	__lowerCAmelCase=[1, 2, 10]					,	__lowerCAmelCase=[4.0, 4.0, 4.0]					,	__lowerCAmelCase=[0.0, 0.0, 0.0]					,	__lowerCAmelCase=[0.0, 0.0, 0.0]					,	__lowerCAmelCase=[0.0, 0.0, 0.1]					,	__lowerCAmelCase=[True, True, True]					,	__lowerCAmelCase=[False, False, True]					,	__lowerCAmelCase=["dw_bn", "dw_bn", "dw_bn"]					,	__lowerCAmelCase=[3, 3, 3]					,	__lowerCAmelCase=[1, 1, 1]					,	__lowerCAmelCase=[2, 2, 2]					,	__lowerCAmelCase=[1, 1, 1]					,	__lowerCAmelCase=[1, 1, 1]					,	__lowerCAmelCase=0.02					,	__lowerCAmelCase=1E-12					,	**__lowerCAmelCase					,	):
														super().__init__(**__lowerCAmelCase					)
														UpperCamelCase__			       =     num_channels
														UpperCamelCase__			       =     patch_sizes
														UpperCamelCase__			       =     patch_stride
														UpperCamelCase__			       =     patch_padding
														UpperCamelCase__			       =     embed_dim
														UpperCamelCase__			       =     num_heads
														UpperCamelCase__			       =     depth
														UpperCamelCase__			       =     mlp_ratio
														UpperCamelCase__			       =     attention_drop_rate
														UpperCamelCase__			       =     drop_rate
														UpperCamelCase__			       =     drop_path_rate
														UpperCamelCase__			       =     qkv_bias
														UpperCamelCase__			       =     cls_token
														UpperCamelCase__			       =     qkv_projection_method
														UpperCamelCase__			       =     kernel_qkv
														UpperCamelCase__			       =     padding_kv
														UpperCamelCase__			       =     stride_kv
														UpperCamelCase__			       =     padding_q
														UpperCamelCase__			       =     stride_q
														UpperCamelCase__			       =     initializer_range
														UpperCamelCase__			       =     layer_norm_eps




