



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 			A_      (	__a     :				Optional[Any] ,		__a     :				Any ,		__a     :				Dict		):

    """simple docstring"""
    a__				      =		1.5
    a__				      =		int(factor * num_class_images		)
    a__				      =		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:
        a__				      =		client.query(text=__a		)
        if len(__a		) >= factor * num_class_images or num_images > 1e4:
            break
        else:
            a__				      =		int(factor * num_images		)
            a__				      =		ClipClient(
                url="""https://knn.laion.ai/knn-service""" ,		indice_name="""laion_400m""" ,		num_images=__a ,		aesthetic_weight=0.1 ,		)

    a__				      =		0
    a__				      =		0
    a__				      =		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:
            a__				      =		class_images[count]
            count += 1
            try:
                a__				      =		requests.get(images["""url"""]		)
                if img.status_code == 200:
                    a__				      =		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 			A_      (	):

    """simple docstring"""
    a__				      =		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_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *

