

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

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

	while True:
		__UpperCAmelCase      		= client.query(text=snake_case_    )
		if len(snake_case_    ) >= 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=snake_case_			,		aesthetic_weight=0.1			,		)

	__UpperCAmelCase      		= 0
	__UpperCAmelCase      		= 0
	__UpperCAmelCase      		= tqdm(desc='''downloading real regularization images'''			,		total=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:
			__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       lowercase__						(       ):
	__UpperCAmelCase      		= argparse.ArgumentParser(''''''			,		add_help=snake_case_    )
	parser.add_argument('''--class_prompt'''			,		help='''text prompt to retrieve images'''			,		required=snake_case_			,		type=snake_case_    )
	parser.add_argument('''--class_data_dir'''			,		help='''path to save images'''			,		required=snake_case_			,		type=snake_case_    )
	parser.add_argument('''--num_class_images'''			,		help='''number of images to download'''			,		default=200			,		type=snake_case_    )
	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"""




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async



def 							_lowerCamelCase			(			__a=None     ):
		if subparsers is not None:
				SCREAMING_SNAKE_CASE_    			=			subparsers.add_parser('''test'''     )
		else:
				SCREAMING_SNAKE_CASE_    			=			argparse.ArgumentParser('''Accelerate test command'''     )

		parser.add_argument(
		    '''--config_file''',				default=__a,				help=(
		        '''The path to use to store the config file. Will default to a file named default_config.yaml in the cache '''
		        '''location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '''
		        '''such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '''
		        '''with \'huggingface\'.'''
		    ),				)

		if subparsers is not None:
				parser.set_defaults(func=__a     )
		return parser



def 							_lowerCamelCase			(			__a     ):
		SCREAMING_SNAKE_CASE_    			=			os.path.sep.join(__file__.split(os.path.sep     )[:-2] + ['''test_utils''', '''scripts''', '''test_script.py''']     )

		if args.config_file is None:
				SCREAMING_SNAKE_CASE_    			=			script_name
		else:
				SCREAMING_SNAKE_CASE_    			=			F'--config_file={args.config_file} {script_name}'

		SCREAMING_SNAKE_CASE_    			=			['''accelerate-launch'''] + test_args.split()
		SCREAMING_SNAKE_CASE_    			=			execute_subprocess_async(__a,				env=os.environ.copy()     )
		if result.returncode == 0:
				print('''Test is a success! You are ready for your distributed training!'''     )



def 							_lowerCamelCase			(			):
		SCREAMING_SNAKE_CASE_    			=			test_command_parser()
		SCREAMING_SNAKE_CASE_    			=			parser.parse_args()
		test_command(__a     )


if __name__ == "__main__":
						main()