'''simple docstring'''






import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			List[str]   ,		__snake_case							:			Union[str, Any]   ,		__snake_case							:			int   ,		__snake_case							:			Dict=1_0_2_4				):
     _A		,       _A    		=  [], []

     _A    		=  list(zip(__snake_case   ,		__snake_case				)				)
     _A		,       _A    		=  sorted_examples[0]

     def is_too_big(__snake_case							:			int				):
          return tok(__snake_case   ,		return_tensors='pt'				).input_ids.shape[1] > max_tokens

     for src, tgt in tqdm(sorted_examples[1:]				):
          _A    		=  new_src + ' ' + src
          _A    		=  new_tgt + ' ' + tgt
          if is_too_big(__snake_case				) or is_too_big(__snake_case				):  # cant fit, finalize example
               finished_src.append(__snake_case				)
               finished_tgt.append(__snake_case				)
               _A		,       _A    		=  src, tgt
          else:  # can fit, keep adding
               _A		,       _A    		=  cand_src, cand_tgt

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





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





def  _SCREAMING_SNAKE_CASE		(      ):
     _A    		=  argparse.ArgumentParser()
     parser.add_argument('--tok_name'   ,		type=__snake_case   ,		help='like facebook/bart-large-cnn,t5-base, etc.'				)
     parser.add_argument('--max_seq_len'   ,		type=__snake_case   ,		default=1_2_8				)
     parser.add_argument('--data_dir'   ,		type=__snake_case				)
     parser.add_argument('--save_path'   ,		type=__snake_case				)
     _A    		=  parser.parse_args()
     _A    		=  AutoTokenizer.from_pretrained(args.tok_name				)
     return pack_data_dir(__snake_case   ,		Path(args.data_dir				)   ,		args.max_seq_len   ,		args.save_path				)


if __name__ == "__main__":
   packer_cli()






import argparse
import os
import re


a_     :    List[str]     		=   "src/transformers/models/auto"


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
a_     :    Optional[Any]     		=   re.compile(R"[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict")
# re pattern that matches identifiers in mappings
a_     :    Optional[int]     		=   re.compile(R"\s*\(\s*\"(\S[^\"]+)\"")


def 							__lowerCAmelCase     (							_UpperCamelCase		:	Tuple		,				_UpperCamelCase		:	bool = False						)		->				Optional[int]:
 '''simple docstring'''


 with open(_UpperCamelCase		,				'r'		,				encoding='utf-8'						) as f:
  SCREAMING_SNAKE_CASE		    =      f.read()

 SCREAMING_SNAKE_CASE		    =      content.split('\n'						)
 SCREAMING_SNAKE_CASE		    =      []
 SCREAMING_SNAKE_CASE		    =      0
 while line_idx < len(_UpperCamelCase						):
  if _re_intro_mapping.search(lines[line_idx]						) is not None:
   SCREAMING_SNAKE_CASE		    =      len(re.search(R'^(\s*)\S'		,				lines[line_idx]						).groups()[0]						) + 8
   # Start of a new mapping!
   while not lines[line_idx].startswith(' ' * indent + '('						):
    new_lines.append(lines[line_idx]						)
    line_idx += 1

   SCREAMING_SNAKE_CASE		    =      []
   while lines[line_idx].strip() != "]":
    # Blocks either fit in one line or not
    if lines[line_idx].strip() == "(":
     SCREAMING_SNAKE_CASE		    =      line_idx
     while not lines[line_idx].startswith(' ' * indent + ')'						):
      line_idx += 1
     blocks.append('\n'.join(lines[start_idx : line_idx + 1]						)						)
    else:
     blocks.append(lines[line_idx]						)
    line_idx += 1

   # Sort blocks by their identifiers
   SCREAMING_SNAKE_CASE		    =      sorted(_UpperCamelCase		,				key=lambda _UpperCamelCase						: _re_identifier.search(_UpperCamelCase						).groups()[0]						)
   new_lines += blocks
  else:
   new_lines.append(lines[line_idx]						)
   line_idx += 1

 if overwrite:
  with open(_UpperCamelCase		,				'w'		,				encoding='utf-8'						) as f:
   f.write('\n'.join(_UpperCamelCase						)						)
 elif "\n".join(_UpperCamelCase						) != content:
  return True


def 							__lowerCAmelCase     (							_UpperCamelCase		:	bool = False						)		->				Dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE		    =      [os.path.join(_UpperCamelCase		,				_UpperCamelCase						) for f in os.listdir(_UpperCamelCase						) if f.endswith('.py'						)]
 SCREAMING_SNAKE_CASE		    =      [sort_auto_mapping(_UpperCamelCase		,				overwrite=_UpperCamelCase						) for fname in fnames]

 if not overwrite and any(_UpperCamelCase						):
  SCREAMING_SNAKE_CASE		    =      [f for f, d in zip(_UpperCamelCase		,				_UpperCamelCase						) if d]
  raise ValueError(
      f"""The following files have auto mappings that need sorting: {', '.join(_UpperCamelCase						)}. Run `make style` to fix"""
      ' this.'						)


if __name__ == "__main__":
      a_     :    Union[str, Any]     		=   argparse.ArgumentParser()
      parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
      a_     :    List[str]     		=   parser.parse_args()

      sort_all_auto_mappings(not args.check_only)

