





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer







def    A				(							UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase=1_024				):
					_snake_case       :					Any				       =   [], []

					_snake_case       :					Union[str, Any]				       =   list(zip(SCREAMING_SNAKE_CASE__  ,  SCREAMING_SNAKE_CASE__				)				)
					_snake_case       :					Union[str, Any]				       =   sorted_examples[0]

					def is_too_big(UpperCAmelCase				):
										return tok(SCREAMING_SNAKE_CASE__  ,  return_tensors="pt"				).input_ids.shape[1] > max_tokens

					for src, tgt in tqdm(sorted_examples[1:]				):
										_snake_case       :					Any				       =   new_src + """ """ + src
										_snake_case       :					str				       =   new_tgt + """ """ + tgt
										if is_too_big(SCREAMING_SNAKE_CASE__				) or is_too_big(SCREAMING_SNAKE_CASE__				):  # cant fit, finalize example
															finished_src.append(SCREAMING_SNAKE_CASE__				)
															finished_tgt.append(SCREAMING_SNAKE_CASE__				)
															_snake_case       :					int				       =   src, tgt
										else:  # can fit, keep adding
															_snake_case       :					Any				       =   cand_src, cand_tgt

    # cleanup
					if new_src:
										assert new_tgt
										finished_src.append(SCREAMING_SNAKE_CASE__				)
										finished_tgt.append(SCREAMING_SNAKE_CASE__				)
					return finished_src, finished_tgt







def    A				(							UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase				):
					_snake_case       :					Any				       =   Path(SCREAMING_SNAKE_CASE__				)
					save_path.mkdir(exist_ok=SCREAMING_SNAKE_CASE__				)
					for split in ["train"]:
										_snake_case       :					List[str]				       =   data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
										_snake_case       :					Tuple				       =   [x.rstrip() for x in Path(SCREAMING_SNAKE_CASE__				).open().readlines()]
										_snake_case       :					int				       =   [x.rstrip() for x in Path(SCREAMING_SNAKE_CASE__				).open().readlines()]
										_snake_case       :					Any				       =   pack_examples(SCREAMING_SNAKE_CASE__  ,  SCREAMING_SNAKE_CASE__  ,  SCREAMING_SNAKE_CASE__  ,  SCREAMING_SNAKE_CASE__				)
										print(F"""packed {split} split from {len(SCREAMING_SNAKE_CASE__				)} examples -> {len(SCREAMING_SNAKE_CASE__				)}."""				)
										Path(save_path / F"""{split}.source"""				).open("w"				).write("\n".join(SCREAMING_SNAKE_CASE__				)				)
										Path(save_path / F"""{split}.target"""				).open("w"				).write("\n".join(SCREAMING_SNAKE_CASE__				)				)
					for split in ["val", "test"]:
										_snake_case       :					Union[str, Any]				       =   data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
										shutil.copyfile(SCREAMING_SNAKE_CASE__  ,  save_path / F"""{split}.source"""				)
										shutil.copyfile(SCREAMING_SNAKE_CASE__  ,  save_path / F"""{split}.target"""				)







def    A				(							):
					_snake_case       :					str				       =   argparse.ArgumentParser()
					parser.add_argument("--tok_name"  ,  type=SCREAMING_SNAKE_CASE__  ,  help="like facebook/bart-large-cnn,t5-base, etc."				)
					parser.add_argument("--max_seq_len"  ,  type=SCREAMING_SNAKE_CASE__  ,  default=128				)
					parser.add_argument("--data_dir"  ,  type=SCREAMING_SNAKE_CASE__				)
					parser.add_argument("--save_path"  ,  type=SCREAMING_SNAKE_CASE__				)
					_snake_case       :					Optional[int]				       =   parser.parse_args()
					_snake_case       :					Optional[Any]				       =   AutoTokenizer.from_pretrained(args.tok_name				)
					return pack_data_dir(SCREAMING_SNAKE_CASE__  ,  Path(args.data_dir				)  ,  args.max_seq_len  ,  args.save_path				)


if __name__ == "__main__":
		packer_cli()






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				(							UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase				):
					_snake_case       :					List[str]				       =   1.5
					_snake_case       :					Union[str, Any]				       =   int(factor * num_class_images				)
					_snake_case       :					Dict				       =   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:
										_snake_case       :					Optional[int]				       =   client.query(text=UpperCAmelCase				)
										if len(UpperCAmelCase				) >= factor * num_class_images or num_images > 1e4:
															break
										else:
															_snake_case       :					str				       =   int(factor * num_images				)
															_snake_case       :					Union[str, Any]				       =   ClipClient(
															    url="https://knn.laion.ai/knn-service"  ,  indice_name="laion_400m"  ,  num_images=UpperCAmelCase  ,  aesthetic_weight=0.1  ,  )

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