
import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation


a					:	Optional[int]							=		logging.get_logger(__name__)

a					:	Any							=		{'''vocab_file''': '''vocab.txt''', '''emoji_file''': '''emoji.json'''}

a					:	Union[str, Any]							=		{
    '''vocab_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt''',
    },
    '''emoji_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json''',
    },
}

a					:	Optional[Any]							=		{
    '''abeja/gpt-neox-japanese-2.7b''': 2_0_4_8,
}


def  _UpperCamelCase	(						_A					,      _A      )    ->  str:





    """simple docstring"""

    with open(_A					,      """r"""					,      encoding="""utf-8"""      ) as f:
        _UpperCAmelCase          =   json.loads(f.read()      )

    _UpperCAmelCase          =   collections.OrderedDict()
    _UpperCAmelCase          =   collections.OrderedDict()
    _UpperCAmelCase          =   collections.OrderedDict()
    with open(_A					,      """r"""					,      encoding="""utf-8"""      ) as f:
        _UpperCAmelCase          =   f.readlines()
    _UpperCAmelCase          =   [[t.rstrip("""\n"""      )] if (t == """,""" or """,""" not in t) else t.rstrip("""\n"""      ).split(""","""      ) for t in token]
    for idx, b in enumerate(_A      ):
        _UpperCAmelCase          =   b
        _UpperCAmelCase          =   idx
        for wd in b:
            _UpperCAmelCase          =   idx

    return vocab, raw_vocab, ids_to_tokens, emoji




class 		a_						( _UpperCAmelCase	):
    a      :				int     =				VOCAB_FILES_NAMES
    a      :				Any     =				PRETRAINED_VOCAB_FILES_MAP
    a      :				List[str]     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a      :				Optional[Any]     =				['input_ids', 'attention_mask']







    def __init__(			self			:       Any     ,					__UpperCamelCase			:       Any     ,					__UpperCamelCase			:       Dict     ,					__UpperCamelCase			:       Optional[Any]="<|endoftext|>"     ,					__UpperCamelCase			:       str="<|endoftext|>"     ,					__UpperCamelCase			:       str="<|startoftext|>"     ,					__UpperCamelCase			:       Any="<|endoftext|>"     ,					__UpperCamelCase			:       Optional[int]=False     ,					**__UpperCamelCase			:       Optional[Any]     ,					)		->List[Any]:






        '''simple docstring'''






        super().__init__(
            unk_token=__UpperCamelCase     ,					pad_token=__UpperCamelCase     ,					bos_token=__UpperCamelCase     ,					eos_token=__UpperCamelCase     ,					do_clean_text=__UpperCamelCase     ,					**__UpperCamelCase     ,					)
        if not os.path.isfile(__UpperCamelCase     ):
            raise ValueError(
                f"""Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained"""
                """ model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"""     )
        if not os.path.isfile(__UpperCamelCase     ):
            raise ValueError(
                f"""Can't find a emoji file at path '{emoji_file}'. To load the emoji information from a Google"""
                """ pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"""     )
        _UpperCAmelCase          =   do_clean_text
        _UpperCAmelCase    ,_UpperCAmelCase    ,_UpperCAmelCase    ,_UpperCAmelCase          =   load_vocab_and_emoji(__UpperCamelCase     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   SubWordJapaneseTokenizer(
            vocab=self.vocab     ,					ids_to_tokens=self.ids_to_tokens     ,					emoji=self.emoji     )







    @property
    def      _snake_case					(			self			:       Union[str, Any]     )		->Tuple:






        '''simple docstring'''






        return len(self.raw_vocab     )







    def      _snake_case					(			self			:       Any     )		->List[str]:






        '''simple docstring'''






        return dict(self.raw_vocab     ,					**self.added_tokens_encoder     )







    def      _snake_case					(			self			:       Optional[int]     ,					__UpperCamelCase			:       Tuple     )		->List[str]:






        '''simple docstring'''






        return self.subword_tokenizer.tokenize(__UpperCamelCase     ,					clean=self.do_clean_text     )







    def      _snake_case					(			self			:       Any     ,					__UpperCamelCase			:       List[str]     )		->Any:






        '''simple docstring'''






        return self.vocab.get(__UpperCamelCase     ,					self.vocab.get(self.unk_token     )     )







    def      _snake_case					(			self			:       int     ,					__UpperCamelCase			:       Union[str, Any]     )		->str:






        '''simple docstring'''






        return self.subword_tokenizer.convert_id_to_token(__UpperCamelCase     )







    def      _snake_case					(			self			:       Optional[Any]     ,					__UpperCamelCase			:       Optional[int]     )		->int:






        '''simple docstring'''






        _UpperCAmelCase          =   """""".join(__UpperCamelCase     ).strip()
        return out_string







    def      _snake_case					(			self			:       Union[str, Any]     ,					__UpperCamelCase			:       "Conversation"     )		->List[int]:






        '''simple docstring'''






        _UpperCAmelCase          =   []
        for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(__UpperCamelCase     ,					add_special_tokens=__UpperCamelCase     ) + [self.eos_token_id]     )

        if len(__UpperCamelCase     ) > self.model_max_length:
            _UpperCAmelCase          =   input_ids[-self.model_max_length :]
        return input_ids







    def      _snake_case					(			self			:       Tuple     ,					__UpperCamelCase			:       str     ,					__UpperCamelCase			:       Optional[str] = None     )		->Tuple[str]:






        '''simple docstring'''






        _UpperCAmelCase          =   0
        if os.path.isdir(__UpperCamelCase     ):
            _UpperCAmelCase          =   os.path.join(
                __UpperCamelCase     ,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )
            _UpperCAmelCase          =   os.path.join(
                __UpperCamelCase     ,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""emoji_file"""]     )
        else:
            _UpperCAmelCase          =   (
                (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""vocab_file"""]
            )
            _UpperCAmelCase          =   (
                (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""emoji_file"""]
            )
        with open(__UpperCamelCase     ,					"""w"""     ,					encoding="""utf-8"""     ) as writer:
            for token_index, token in self.ids_to_tokens.items():
                if index != token_index:
                    logger.warning(
                        f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
                        """ Please check that the vocabulary is not corrupted!"""     )
                    _UpperCAmelCase          =   token_index
                writer.write(""",""".join(__UpperCamelCase     ) + """\n"""     )
                index += 1
        with open(__UpperCamelCase     ,					"""w"""     ,					encoding="""utf-8"""     ) as writer:
            json.dump(self.emoji     ,					__UpperCamelCase     )
        return vocab_file, emoji_file







class 		a_						( _UpperCAmelCase	):







    def __init__(			self			:       Optional[int]     ,					__UpperCamelCase			:       Union[str, Any]     ,					__UpperCamelCase			:       List[Any]     ,					__UpperCamelCase			:       Dict     )		->Union[str, Any]:






        '''simple docstring'''






        _UpperCAmelCase          =   vocab  # same as swe
        _UpperCAmelCase          =   ids_to_tokens  # same as bpe
        _UpperCAmelCase          =   emoji
        _UpperCAmelCase          =   np.max([len(__UpperCamelCase     ) for w in self.vocab.keys()]     )
        _UpperCAmelCase          =   re.compile(r"""(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)"""     )
        _UpperCAmelCase          =   re.compile(r"""[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*"""     )
        _UpperCAmelCase          =   re.compile(r"""[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}"""     )
        _UpperCAmelCase          =   re.compile(
            r"""([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"""     )
        _UpperCAmelCase          =   re.compile(
            r"""(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"""     )
        _UpperCAmelCase          =   re.compile(
            r"""((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*"""     )
        _UpperCAmelCase          =   """─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"""
        _UpperCAmelCase          =   """▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"""
        _UpperCAmelCase          =   str.maketrans({k: """<BLOCK>""" for k in keisen + blocks}     )







    def __len__(			self			:       str     )		->List[Any]:






        '''simple docstring'''






        return len(self.ids_to_tokens     )







    def      _snake_case					(			self			:       Optional[Any]     ,					__UpperCamelCase			:       str     )		->str:






        '''simple docstring'''






        _UpperCAmelCase          =   self.content_repattera.sub("""<URL>"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   self.content_repattera.sub("""<EMAIL>"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   self.content_repattera.sub("""<TEL>"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   self.content_repattera.sub("""<DATE>"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   self.content_repattera.sub("""<DATE>"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   self.content_repattera.sub("""<PRICE>"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   content.translate(self.content_transa     )
        while "<BLOCK><BLOCK>" in content:
            _UpperCAmelCase          =   content.replace("""<BLOCK><BLOCK>"""     ,					"""<BLOCK>"""     )
        return content







    def      _snake_case					(			self			:       Optional[int]     ,					__UpperCamelCase			:       List[Any]     ,					__UpperCamelCase			:       Optional[Any]=False     )		->List[Any]:






        '''simple docstring'''






        _UpperCAmelCase          =   text.replace(""" """     ,					"""<SP>"""     )
        _UpperCAmelCase          =   text.replace("""　"""     ,					"""<SP>"""     )
        _UpperCAmelCase          =   text.replace("""\r\n"""     ,					"""<BR>"""     )
        _UpperCAmelCase          =   text.replace("""\n"""     ,					"""<BR>"""     )
        _UpperCAmelCase          =   text.replace("""\r"""     ,					"""<BR>"""     )
        _UpperCAmelCase          =   text.replace("""\t"""     ,					"""<TAB>"""     )
        _UpperCAmelCase          =   text.replace("""—"""     ,					"""ー"""     )
        _UpperCAmelCase          =   text.replace("""−"""     ,					"""ー"""     )
        for k, v in self.emoji["emoji"].items():
            if k in text:
                _UpperCAmelCase          =   text.replace(__UpperCamelCase     ,					__UpperCamelCase     )
        if clean:
            _UpperCAmelCase          =   self.clean_text(__UpperCamelCase     )

        def check_simbol(__UpperCamelCase			:       Any     ):
            _UpperCAmelCase          =   x.encode()
            if len(__UpperCamelCase     ) == 1 and len(__UpperCamelCase     ) == 2:
                _UpperCAmelCase          =   (int(e[0]     ) << 8) + int(e[1]     )
                if (
                    (c >= 0xc2a1 and c <= 0xc2bf)
                    or (c >= 0xc780 and c <= 0xc783)
                    or (c >= 0xcab9 and c <= 0xcbbf)
                    or (c >= 0xcc80 and c <= 0xcda2)
                ):
                    return True
            return False

        def checkuae(__UpperCamelCase			:       List[Any]     ):
            _UpperCAmelCase          =   x.encode()
            if len(__UpperCamelCase     ) == 1 and len(__UpperCamelCase     ) == 3:
                _UpperCAmelCase          =   (int(e[0]     ) << 16) + (int(e[1]     ) << 8) + int(e[2]     )
                if c >= 0xe28080 and c <= 0xe2b07f:
                    return True
            return False

        _UpperCAmelCase          =   0
        _UpperCAmelCase          =   []
        while pos < len(__UpperCamelCase     ):
            _UpperCAmelCase          =   min(len(__UpperCamelCase     )     ,					pos + self.maxlen + 1     ) if text[pos] == """<""" else pos + 3
            _UpperCAmelCase          =   []  # (token_id, token, pos)
            for e in range(__UpperCamelCase     ,					__UpperCamelCase     ,					-1     ):
                _UpperCAmelCase          =   text[pos:e]
                if wd in self.vocab:
                    if wd[0] == "<" and len(__UpperCamelCase     ) > 2:
                        _UpperCAmelCase          =   [(self.vocab[wd], wd, e)]
                        break
                    else:
                        candidates.append((self.vocab[wd], wd, e)     )
            if len(__UpperCamelCase     ) > 0:
                # the smallest token_id is adopted
                _UpperCAmelCase    ,_UpperCAmelCase    ,_UpperCAmelCase          =   sorted(__UpperCamelCase     ,					key=lambda __UpperCamelCase     : x[0]     )[0]
                result.append(__UpperCamelCase     )
                _UpperCAmelCase          =   e
            else:
                _UpperCAmelCase          =   pos + 1
                _UpperCAmelCase          =   text[pos:end]
                if check_simbol(__UpperCamelCase     ):
                    result.append("""<KIGOU>"""     )
                elif checkuae(__UpperCamelCase     ):
                    result.append("""<U2000U2BFF>"""     )
                else:
                    for i in wd.encode("""utf-8"""     ):
                        result.append("""<|byte%d|>""" % i     )
                _UpperCAmelCase          =   end
        return result







    def      _snake_case					(			self			:       int     ,					__UpperCamelCase			:       Tuple     ,					__UpperCamelCase			:       Optional[int]="\n"     )		->Any:






        '''simple docstring'''






        _UpperCAmelCase          =   []
        _UpperCAmelCase          =   []
        _UpperCAmelCase          =   self.ids_to_tokens[index][0]
        if word[:6] == "<|byte" and word[-2:] == "|>":
            byte_tokens.append(int(word[6:-2]     )     )
        else:
            if len(__UpperCamelCase     ) > 0:
                words.append(bytearray(__UpperCamelCase     ).decode("""utf-8"""     ,					errors="""replace"""     )     )
                _UpperCAmelCase          =   []
            if word[:7] == "<|emoji" and word[-2:] == "|>":
                words.append(self.emoji["""emoji_inv"""][word]     )
            elif word == "<SP>":
                words.append(""" """     )
            elif word == "<BR>":
                words.append(__UpperCamelCase     )
            elif word == "<TAB>":
                words.append("""\t"""     )
            elif word == "<BLOCK>":
                words.append("""▀"""     )
            elif word == "<KIGOU>":
                words.append("""ǀ"""     )
            elif word == "<U2000U2BFF>":
                words.append("""‖"""     )
            else:
                words.append(__UpperCamelCase     )
        if len(__UpperCamelCase     ) > 0:
            words.append(bytearray(__UpperCamelCase     ).decode("""utf-8"""     ,					errors="""replace"""     )     )
        _UpperCAmelCase          =   """""".join(__UpperCamelCase     )
        return text

"""simple docstring"""



import argparse
import os
import re

import packaging.version


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


def  _UpperCamelCase	(						_A					,      _A					,      _A      )    ->  Dict:





    """simple docstring"""

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


def  _UpperCamelCase	(						_A      )    ->  Union[str, Any]:





    """simple docstring"""

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


def  _UpperCamelCase	(						_A					,      _A=False      )    ->  int:





    """simple docstring"""

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


def  _UpperCamelCase	(						)    ->  Any:





    """simple docstring"""

    _UpperCAmelCase          =   """🤗 Transformers currently provides the following architectures"""
    _UpperCAmelCase          =   """1. Want to contribute a new model?"""
    with open(_A					,      """r"""					,      encoding="""utf-8"""					,      newline="""\n"""      ) as f:
        _UpperCAmelCase          =   f.readlines()

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

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

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


def  _UpperCamelCase	(						)    ->  Optional[int]:





    """simple docstring"""

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


def  _UpperCamelCase	(						_A=False      )    ->  List[Any]:





    """simple docstring"""

    _UpperCAmelCase          =   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:
        _UpperCAmelCase          =   default_version.base_version
    elif patch:
        _UpperCAmelCase          =   F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
    else:
        _UpperCAmelCase          =   F"""{default_version.major}.{default_version.minor + 1}.0"""

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

    print(F"""Updating version to {version}."""      )
    global_version_update(_A					,      patch=_A      )


def  _UpperCamelCase	(						)    ->  List[Any]:





    """simple docstring"""

    _UpperCAmelCase          =   get_version()
    _UpperCAmelCase          =   F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
    _UpperCAmelCase          =   current_version.base_version

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

    print(F"""Updating version to {version}."""      )
    global_version_update(_A      )


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


if __name__ == "__main__":
 a					:	Dict							=		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.''')
 a					:	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()