



"""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 __lowercase    (							_a	,    _a	,    _a					):
    snake_case_				:  List[str]       =			1.5
    snake_case_				:  int       =			int(factor * num_class_images					)
    snake_case_				:  Any       =			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:
        snake_case_				:  Optional[int]       =			client.query(text=_a					)
        if len(_a					) >= factor * num_class_images or num_images > 1E4:
            break
        else:
            snake_case_				:  List[str]       =			int(factor * num_images					)
            snake_case_				:  List[str]       =			ClipClient(
                url='''https://knn.laion.ai/knn-service'''	,    indice_name='''laion_400m'''	,    num_images=_a	,    aesthetic_weight=0.1	,    )

    snake_case_				:  List[Any]       =			0
    snake_case_				:  Tuple       =			0
    snake_case_				:  int       =			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:
            snake_case_				:  Tuple       =			class_images[count]
            count += 1
            try:
                snake_case_				:  Optional[int]       =			requests.get(images['''url''']					)
                if img.status_code == 200:
                    snake_case_				:  Dict       =			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 __lowercase    (							):
    snake_case_				:  str       =			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__":
     lowercase__					:						Tuple												=			parse_args()
     retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)










"""simple docstring"""

def __lowercase    (							_a	,    _a					):
    snake_case_				:  str       =			[0 for i in range(r + 1					)]
    # nc0 = 1
    snake_case_				:  int       =			1
    for i in range(1	,    n + 1					):
        # to compute current row from previous row.
        snake_case_				:  Any       =			min(_a	,    _a					)
        while j > 0:
            c[j] += c[j - 1]
            j -= 1
    return c[r]






print(binomial_coefficient(n=10, r=5))





