



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__		(				_SCREAMING_SNAKE_CASE   :	Dict     ,				_SCREAMING_SNAKE_CASE   :	List[Any]     ,				_SCREAMING_SNAKE_CASE   :	List[str]				)->List[str]:
						_lowerCAmelCase 			=  1.5
						_lowerCAmelCase 			=  int(factor * num_class_images				)
						_lowerCAmelCase 			=  ClipClient(
						    url='''https://knn.laion.ai/knn-service'''     ,				indice_name='''laion_400m'''     ,				num_images=_SCREAMING_SNAKE_CASE     ,				aesthetic_weight=0.1				)

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

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

						_lowerCAmelCase 			=  0
						_lowerCAmelCase 			=  0
						_lowerCAmelCase 			=  tqdm(desc='''downloading real regularization images'''     ,				total=_SCREAMING_SNAKE_CASE				)

						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 			=  class_images[count]
																		count += 1
																		try:
																								_lowerCAmelCase 			=  requests.get(images['''url''']				)
																								if img.status_code == 2_0_0:
																														_lowerCAmelCase 			=  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__		(				)->List[str]:
						_lowerCAmelCase 			=  argparse.ArgumentParser(''''''     ,				add_help=_SCREAMING_SNAKE_CASE				)
						parser.add_argument('''--class_prompt'''     ,				help='''text prompt to retrieve images'''     ,				required=_SCREAMING_SNAKE_CASE     ,				type=_SCREAMING_SNAKE_CASE				)
						parser.add_argument('''--class_data_dir'''     ,				help='''path to save images'''     ,				required=_SCREAMING_SNAKE_CASE     ,				type=_SCREAMING_SNAKE_CASE				)
						parser.add_argument('''--num_class_images'''     ,				help='''number of images to download'''     ,				default=2_0_0     ,				type=_SCREAMING_SNAKE_CASE				)
						return parser.parse_args()


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




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase_									=							{"processing_layoutxlm": ["LayoutXLMProcessor"]}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							["LayoutXLMTokenizer"]

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							["LayoutXLMTokenizerFast"]

if TYPE_CHECKING:
    from .processing_layoutxlm import LayoutXLMProcessor

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_layoutxlm import LayoutXLMTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
    import sys

    UpperCAmelCase_									=							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)