



'''simple docstring'''

import argparse
import os
import re

import packaging.version


SCREAMING_SNAKE_CASE__     :						Dict	=  '''examples/'''
SCREAMING_SNAKE_CASE__     :						Dict	=  {
    '''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'''),
}
SCREAMING_SNAKE_CASE__     :						List[str]	=  {
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
SCREAMING_SNAKE_CASE__     :						List[str]	=  '''README.md'''






def 				a  (     UpperCamelCase_    :    Optional[Any]      ,					UpperCamelCase_    :    int      ,					UpperCamelCase_    :    str			)       ->	List[Any]:


		with open(UpperCamelCase_      ,					'r'      ,					encoding='utf-8'      ,					newline='\n'			) as f:
				snake_case__	     =f.read()
		snake_case__     ,	snake_case__	     =REPLACE_PATTERNS[pattern]
		snake_case__	     =replace.replace('VERSION'      ,					UpperCamelCase_			)
		snake_case__	     =re_pattern.sub(UpperCamelCase_      ,					UpperCamelCase_			)
		with open(UpperCamelCase_      ,					'w'      ,					encoding='utf-8'      ,					newline='\n'			) as f:
				f.write(UpperCamelCase_			)






def 				a  (     UpperCamelCase_    :    str			)       ->	Any:


		for folder, directories, fnames in os.walk(UpperCamelCase_			):
				# 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(UpperCamelCase_      ,					UpperCamelCase_			)      ,					UpperCamelCase_      ,					pattern='examples'			)






def 				a  (     UpperCamelCase_    :    Any      ,					UpperCamelCase_    :    Optional[Any]=False			)       ->	str:


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






def 				a  (     )       ->	List[Any]:
		snake_case__	     ='🤗 Transformers currently provides the following architectures'
		snake_case__	     ='1. Want to contribute a new model?'
		with open(UpperCamelCase_      ,					'r'      ,					encoding='utf-8'      ,					newline='\n'			) as f:
				snake_case__	     =f.readlines()

		# Find the start of the list.
		snake_case__	     =0
		while not lines[start_index].startswith(_start_prompt			):
				start_index += 1
		start_index += 1

		snake_case__	     =start_index
		# Update the lines in the model list.
		while not lines[index].startswith(_end_prompt			):
				if lines[index].startswith('1.'			):
						snake_case__	     =lines[index].replace(
						    'https://huggingface.co/docs/diffusers/main/model_doc'      ,					'https://huggingface.co/docs/diffusers/model_doc'      ,					)
				index += 1

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






def 				a  (     )       ->	int:


		with open(REPLACE_FILES['init']      ,					'r'			) as f:
				snake_case__	     =f.read()
		snake_case__	     =REPLACE_PATTERNS['init'][0].search(UpperCamelCase_			).groups()[0]
		return packaging.version.parse(UpperCamelCase_			)






def 				a  (     UpperCamelCase_    :    Optional[Any]=False			)       ->	Optional[Any]:
		snake_case__	     =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:
				snake_case__	     =default_version.base_version
		elif patch:
				snake_case__	     =f"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
		else:
				snake_case__	     =f"""{default_version.major}.{default_version.minor + 1}.0"""

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

		print(f"""Updating version to {version}."""			)
		global_version_update(UpperCamelCase_      ,					patch=UpperCamelCase_			)






def 				a  (     )       ->	List[str]:
		snake_case__	     =get_version()
		snake_case__	     =f"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
		snake_case__	     =current_version.base_version

		# Check with the user we got that right.
		snake_case__	     =input(f"""Which version are we developing now? [{dev_version}]"""			)
		if len(UpperCamelCase_			) == 0:
				snake_case__	     =dev_version

		print(f"""Updating version to {version}."""			)
		global_version_update(UpperCamelCase_			)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
			SCREAMING_SNAKE_CASE__     :						str	=  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.''')
			SCREAMING_SNAKE_CASE__     :						Tuple	=  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 argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
A__							:  List[str]    =logging.getLogger(__name__)
def   UpperCamelCase__ (						):





      """simple docstring"""


      _lowerCAmelCase					=				argparse.ArgumentParser(
          description="""Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids)."""    )
      parser.add_argument("""--file_path"""				,      type=lowerCAmelCase				,      default="""data/dump.txt"""				,      help="""The path to the data."""    )
      parser.add_argument("""--tokenizer_type"""				,      type=lowerCAmelCase				,      default="""bert"""				,      choices=["""bert""", """roberta""", """gpt2"""]    )
      parser.add_argument("""--tokenizer_name"""				,      type=lowerCAmelCase				,      default="""bert-base-uncased"""				,      help="""The tokenizer to use."""    )
      parser.add_argument("""--dump_file"""				,      type=lowerCAmelCase				,      default="""data/dump"""				,      help="""The dump file prefix."""    )
      _lowerCAmelCase					=				parser.parse_args()

      logger.info(f"Loading Tokenizer ({args.tokenizer_name})"    )
      if args.tokenizer_type == "bert":
            _lowerCAmelCase					=				BertTokenizer.from_pretrained(args.tokenizer_name    )
            _lowerCAmelCase					=				tokenizer.special_tokens_map["""cls_token"""]  # `[CLS]`
            _lowerCAmelCase					=				tokenizer.special_tokens_map["""sep_token"""]  # `[SEP]`
      elif args.tokenizer_type == "roberta":
            _lowerCAmelCase					=				RobertaTokenizer.from_pretrained(args.tokenizer_name    )
            _lowerCAmelCase					=				tokenizer.special_tokens_map["""cls_token"""]  # `<s>`
            _lowerCAmelCase					=				tokenizer.special_tokens_map["""sep_token"""]  # `</s>`
      elif args.tokenizer_type == "gpt2":
            _lowerCAmelCase					=				GPTaTokenizer.from_pretrained(args.tokenizer_name    )
            _lowerCAmelCase					=				tokenizer.special_tokens_map["""bos_token"""]  # `<|endoftext|>`
            _lowerCAmelCase					=				tokenizer.special_tokens_map["""eos_token"""]  # `<|endoftext|>`

      logger.info(f"Loading text from {args.file_path}"    )
      with open(args.file_path				,      """r"""				,      encoding="""utf8"""    ) as fp:
            _lowerCAmelCase					=				fp.readlines()

      logger.info("""Start encoding"""    )
      logger.info(f"{len(lowerCAmelCase    )} examples to process."    )

      _lowerCAmelCase					=				[]
      _lowerCAmelCase					=				0
      _lowerCAmelCase					=				1_00_00
      _lowerCAmelCase					=				time.time()
      for text in data:
            _lowerCAmelCase					=				f"{bos} {text.strip()} {sep}"
            _lowerCAmelCase					=				tokenizer.encode(lowerCAmelCase				,      add_special_tokens=lowerCAmelCase    )
            rslt.append(lowerCAmelCase    )

            iter += 1
            if iter % interval == 0:
                  _lowerCAmelCase					=				time.time()
                  logger.info(f"{iter} examples processed. - {(end-start):.2f}s/{interval}expl"    )
                  _lowerCAmelCase					=				time.time()
      logger.info("""Finished binarization"""    )
      logger.info(f"{len(lowerCAmelCase    )} examples processed."    )

      _lowerCAmelCase					=				f"{args.dump_file}.{args.tokenizer_name}.pickle"
      _lowerCAmelCase					=				tokenizer.vocab_size
      if vocab_size < (1 << 16):
            _lowerCAmelCase					=				[np.uintaa(lowerCAmelCase    ) for d in rslt]
      else:
            _lowerCAmelCase					=				[np.intaa(lowerCAmelCase    ) for d in rslt]
      random.shuffle(rslt_    )
      logger.info(f"Dump to {dp_file}"    )
      with open(lowerCAmelCase				,      """wb"""    ) as handle:
            pickle.dump(rslt_				,      lowerCAmelCase				,      protocol=pickle.HIGHEST_PROTOCOL    )


if __name__ == "__main__":
      main()






