






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

			SCREAMING_SNAKE_CASE							=			0
			SCREAMING_SNAKE_CASE							=			0
			SCREAMING_SNAKE_CASE							=			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:
									SCREAMING_SNAKE_CASE							=			class_images[count]
									count += 1
									try:
												SCREAMING_SNAKE_CASE							=			requests.get(images['url'])
												if img.status_code == 200:
															SCREAMING_SNAKE_CASE							=			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 					lowerCamelCase__					():
			SCREAMING_SNAKE_CASE							=			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__":
				a_		:    int   							=     parse_args()
				retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)






'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase					:    Union[str, Any]           = {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    List[Any]           = [
						    'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'GitForCausalLM',
						    'GitModel',
						    'GitPreTrainedModel',
						    'GitVisionModel',
						]

if TYPE_CHECKING:
						from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
						from .processing_git import GitProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_git import (
												    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GitForCausalLM,
												    GitModel,
												    GitPreTrainedModel,
												    GitVisionModel,
												)

else:
						import sys

						lowerCAmelCase					:    Optional[Any]           = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




