'''simple docstring'''




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def 							lowerCamelCase			(   UpperCAmelCase__ :      Dict   ,   UpperCAmelCase__ :      str   ,   UpperCAmelCase__ :      int   ,   UpperCAmelCase__ :      int=1024				)    ->   Dict:
							lowercase_		,		lowercase_      :    Any       		= [], []

							lowercase_      :    List[str]       		= list(zip(UpperCAmelCase__   ,   UpperCAmelCase__				)				)
							lowercase_		,		lowercase_      :    Tuple       		= sorted_examples[0]

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

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

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




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




def 							lowerCamelCase			(   )    ->   Tuple:
							lowercase_      :    int       		= argparse.ArgumentParser()
							parser.add_argument("""--tok_name"""   ,   type=UpperCAmelCase__   ,   help="""like facebook/bart-large-cnn,t5-base, etc."""				)
							parser.add_argument("""--max_seq_len"""   ,   type=UpperCAmelCase__   ,   default=128				)
							parser.add_argument("""--data_dir"""   ,   type=UpperCAmelCase__				)
							parser.add_argument("""--save_path"""   ,   type=UpperCAmelCase__				)
							lowercase_      :    int       		= parser.parse_args()
							lowercase_      :    Tuple       		= AutoTokenizer.from_pretrained(args.tok_name				)
							return pack_data_dir(UpperCAmelCase__   ,   Path(args.data_dir				)   ,   args.max_seq_len   ,   args.save_path				)


if __name__ == "__main__":
						packer_cli()






'''simple docstring'''




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate





@dataclass(frozen=_UpperCAmelCase)
class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = field(default='''image-classification''',  metadata={'''include_in_asdict_even_if_is_default''': True})
			UpperCamelCase__       = Features({'''image''': Image()})
			UpperCamelCase__       = Features({'''labels''': ClassLabel})
			UpperCamelCase__       = "image"
			UpperCamelCase__       = "labels"







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Tuple       ,    lowercase_       :						str					):
										if self.label_column not in features:
																	raise ValueError(f'''Column {self.label_column} is not present in features.'''					)
										if not isinstance(features[self.label_column]       ,    lowercase_					):
																	raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''					)
										lowercase_      :    List[str]       		= copy.deepcopy(self					)
										lowercase_      :    List[str]       		= self.label_schema.copy()
										lowercase_      :    List[Any]       		= features[self.label_column]
										lowercase_      :    Optional[Any]       		= label_schema
										return task_template







			@property
			def 			SCREAMING_SNAKE_CASE_  (			self       :						int					):
										return {
										    self.image_column: "image",
										    self.label_column: "labels",
										}





