



'''simple docstring'''




import argparse
import os
import re

import packaging.version


lowerCamelCase							:Optional[Any]				    =					'''examples/'''
lowerCamelCase							:List[Any]				    =					{
    '''examples''': (re.compile(R'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(R'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(R'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), R'''\1version="VERSION",'''),
    '''doc''': (re.compile(R'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
lowerCamelCase							:int				    =					{
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
lowerCamelCase							:Optional[Any]				    =					'''README.md'''



def 	a			( lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__    ):
			'''simple docstring'''





			with open(lowerCamelCase__						,      """r"""						,      encoding="""utf-8"""						,      newline="""\n"""    ) as f:
						A_	:						Any	=     f.read()
			A_,    A_	:						Dict	=     REPLACE_PATTERNS[pattern]
			A_	:						Union[str, Any]	=     replace.replace("""VERSION"""						,      lowerCamelCase__    )
			A_	:						int	=     re_pattern.sub(lowerCamelCase__						,      lowerCamelCase__    )
			with open(lowerCamelCase__						,      """w"""						,      encoding="""utf-8"""						,      newline="""\n"""    ) as f:
						f.write(lowerCamelCase__    )



def 	a			( lowerCamelCase__    ):
			'''simple docstring'''





			for folder, directories, fnames in os.walk(lowerCamelCase__    ):
						# Removing some of the folders with non-actively maintained examples from the walk
						if "research_projects" in directories:
									directories.remove("""research_projects"""    )
						if "legacy" in directories:
									directories.remove("""legacy"""    )
						for fname in fnames:
									if fname.endswith(""".py"""    ):
												update_version_in_file(os.path.join(lowerCamelCase__						,      lowerCamelCase__    )						,      lowerCamelCase__						,      pattern="""examples"""    )



def 	a			( lowerCamelCase__						,      lowerCamelCase__=False    ):
			'''simple docstring'''





			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__    )
			if not patch:
						update_version_in_examples(lowerCamelCase__    )



def 	a			( ):
			'''simple docstring'''





			A_	:						Tuple	=     """🤗 Transformers currently provides the following architectures"""
			A_	:						Union[str, Any]	=     """1. Want to contribute a new model?"""
			with open(lowerCamelCase__						,      """r"""						,      encoding="""utf-8"""						,      newline="""\n"""    ) as f:
						A_	:						Tuple	=     f.readlines()

			# Find the start of the list.
			A_	:						Union[str, Any]	=     0
			while not lines[start_index].startswith(_start_prompt    ):
						start_index += 1
			start_index += 1

			A_	:						Optional[int]	=     start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt    ):
						if lines[index].startswith("""1."""    ):
									A_	:						Optional[Any]	=     lines[index].replace(
									    """https://huggingface.co/docs/transformers/main/model_doc"""						,      """https://huggingface.co/docs/transformers/model_doc"""						,      )
						index += 1

			with open(lowerCamelCase__						,      """w"""						,      encoding="""utf-8"""						,      newline="""\n"""    ) as f:
						f.writelines(lowerCamelCase__    )



def 	a			( ):
			'''simple docstring'''





			with open(REPLACE_FILES["""init"""]						,      """r"""    ) as f:
						A_	:						Any	=     f.read()
			A_	:						Optional[Any]	=     REPLACE_PATTERNS["""init"""][0].search(lowerCamelCase__    ).groups()[0]
			return packaging.version.parse(lowerCamelCase__    )



def 	a			( lowerCamelCase__=False    ):
			'''simple docstring'''





			A_	:						Dict	=     get_version()
			if patch and default_version.is_devrelease:
						raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!"""    )
			if default_version.is_devrelease:
						A_	:						str	=     default_version.base_version
			elif patch:
						A_	:						Optional[int]	=     f'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
			else:
						A_	:						List[str]	=     f'{default_version.major}.{default_version.minor + 1}.0'

			# Now let's ask nicely if that's the right one.
			A_	:						List[str]	=     input(f'Which version are you releasing? [{default_version}]'    )
			if len(lowerCamelCase__    ) == 0:
						A_	:						Tuple	=     default_version

			print(f'Updating version to {version}.'    )
			global_version_update(lowerCamelCase__						,      patch=lowerCamelCase__    )
			if not patch:
						print("""Cleaning main README, don't forget to run `make fix-copies`."""    )
						clean_main_ref_in_model_list()



def 	a			( ):
			'''simple docstring'''





			A_	:						int	=     get_version()
			A_	:						str	=     f'{current_version.major}.{current_version.minor + 1}.0.dev0'
			A_	:						Dict	=     current_version.base_version

			# Check with the user we got that right.
			A_	:						List[str]	=     input(f'Which version are we developing now? [{dev_version}]'    )
			if len(lowerCamelCase__    ) == 0:
						A_	:						Optional[int]	=     dev_version

			print(f'Updating version to {version}.'    )
			global_version_update(lowerCamelCase__    )
			print("""Cleaning main README, don't forget to run `make fix-copies`."""    )
			clean_main_ref_in_model_list()


if __name__ == "__main__":
						lowerCamelCase							:int				    =					argparse.ArgumentParser()
						parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
						parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
						lowerCamelCase							:Optional[Any]				    =					parser.parse_args()
						if not args.post_release:
												pre_release_work(patch=args.patch)
						elif args.patch:
												print('''Nothing to do after a patch :-)''')
						else:
												post_release_work()




'''simple docstring'''




import fire
from torch.utils.data import DataLoader
from tqdm import tqdm

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save



def 	a			( lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__=10_24						,      lowerCamelCase__=10_24						,      lowerCamelCase__=False						,      **lowerCamelCase__    ):
			'''simple docstring'''





			A_	:						Any	=     AutoTokenizer.from_pretrained(lowerCamelCase__    )
			A_	:						Union[str, Any]	=     SeqaSeqDataset(lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      type_path="""train"""						,      **lowerCamelCase__    )
			A_	:						Optional[Any]	=     tok.pad_token_id

			def get_lens(lowerCamelCase__    ):
						A_	:						int	=     tqdm(
						    DataLoader(lowerCamelCase__						,      batch_size=5_12						,      num_workers=8						,      shuffle=lowerCamelCase__						,      collate_fn=ds.collate_fn    )						,      desc=str(ds.len_file    )						,      )
						A_	:						int	=     []
						for batch in dl:
									A_	:						str	=     batch["""input_ids"""].ne(lowerCamelCase__    ).sum(1    ).tolist()
									A_	:						Tuple	=     batch["""labels"""].ne(lowerCamelCase__    ).sum(1    ).tolist()
									if consider_target:
												for src, tgt in zip(lowerCamelCase__						,      lowerCamelCase__    ):
															max_lens.append(max(lowerCamelCase__						,      lowerCamelCase__    )    )
									else:
												max_lens.extend(lowerCamelCase__    )
						return max_lens

			A_	:						str	=     get_lens(lowerCamelCase__    )
			A_	:						Dict	=     SeqaSeqDataset(lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      type_path="""val"""						,      **lowerCamelCase__    )
			A_	:						List[Any]	=     get_lens(lowerCamelCase__    )
			pickle_save(lowerCamelCase__						,      train_ds.len_file    )
			pickle_save(lowerCamelCase__						,      val_ds.len_file    )


if __name__ == "__main__":
						fire.Fire(save_len_file)