"""simple docstring"""


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


UpperCAmelCase__  		=						logging.get_logger(__name__)

UpperCAmelCase__  		=						{"""vocab_file""": """vocab.txt""", """emoji_file""": """emoji.json"""}

UpperCAmelCase__  		=						{
    """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""",
    },
}

UpperCAmelCase__  		=						{
    """abeja/gpt-neox-japanese-2.7b""": 2_0_4_8,
}






def     __UpperCAmelCase					(			lowercase   ,lowercase		):







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

  _UpperCAmelCase						 =      collections.OrderedDict()
  _UpperCAmelCase						 =      collections.OrderedDict()
  _UpperCAmelCase						 =      collections.OrderedDict()
  with open(lowercase   ,"""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(lowercase		):
    _UpperCAmelCase						 =      b
    _UpperCAmelCase						 =      idx
    for wd in b:
      _UpperCAmelCase						 =      idx

  return vocab, raw_vocab, ids_to_tokens, emoji


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  List[str]     							=							VOCAB_FILES_NAMES
    _snake_case     :  Union[str, Any]     							=							PRETRAINED_VOCAB_FILES_MAP
    _snake_case     :  Any     							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _snake_case     :  Tuple     							=							['input_ids', 'attention_mask']


    def __init__(					self	:  List[Any]   ,				__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  Union[str, Any]   ,				__lowerCAmelCase	:  Tuple="<|endoftext|>"   ,				__lowerCAmelCase	:  List[Any]="<|endoftext|>"   ,				__lowerCAmelCase	:  str="<|startoftext|>"   ,				__lowerCAmelCase	:  int="<|endoftext|>"   ,				__lowerCAmelCase	:  int=False   ,				**__lowerCAmelCase	:  str   ,				):
      super().__init__(
          unk_token=__lowerCAmelCase   ,				pad_token=__lowerCAmelCase   ,				bos_token=__lowerCAmelCase   ,				eos_token=__lowerCAmelCase   ,				do_clean_text=__lowerCAmelCase   ,				**__lowerCAmelCase   ,				)
      if not os.path.isfile(__lowerCAmelCase					):
        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(__lowerCAmelCase					):
        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(__lowerCAmelCase   ,				__lowerCAmelCase					)
      _UpperCAmelCase						 =      SubWordJapaneseTokenizer(
          vocab=self.vocab   ,				ids_to_tokens=self.ids_to_tokens   ,				emoji=self.emoji					)


    @property
    def      lowerCAmelCase_  (					self	:  List[Any]					):
      # self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
      return len(self.raw_vocab					)


    def      lowerCAmelCase_  (					self	:  Tuple					):
      return dict(self.raw_vocab   ,				**self.added_tokens_encoder					)


    def      lowerCAmelCase_  (					self	:  List[Any]   ,				__lowerCAmelCase	:  Optional[Any]					):
      return self.subword_tokenizer.tokenize(__lowerCAmelCase   ,				clean=self.do_clean_text					)


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  str					):
      return self.vocab.get(__lowerCAmelCase   ,				self.vocab.get(self.unk_token					)					)


    def      lowerCAmelCase_  (					self	:  Dict   ,				__lowerCAmelCase	:  Tuple					):
      return self.subword_tokenizer.convert_id_to_token(__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  List[Any]   ,				__lowerCAmelCase	:  List[str]					):
      _UpperCAmelCase						 =      """""".join(__lowerCAmelCase					).strip()
      return out_string


    def      lowerCAmelCase_  (					self	:  Any   ,				__lowerCAmelCase	:  "Conversation"					):
      _UpperCAmelCase						 =      []
      for is_user, text in conversation.iter_texts():
        input_ids.extend(self.encode(__lowerCAmelCase   ,				add_special_tokens=__lowerCAmelCase					) + [self.eos_token_id]					)

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


    def      lowerCAmelCase_  (					self	:  Dict   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  Optional[str] = None					):
      _UpperCAmelCase						 =      0
      if os.path.isdir(__lowerCAmelCase					):
        _UpperCAmelCase						 =      os.path.join(
            __lowerCAmelCase   ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
        _UpperCAmelCase						 =      os.path.join(
            __lowerCAmelCase   ,				(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(__lowerCAmelCase   ,				"""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(__lowerCAmelCase					) + """\n"""					)
          index += 1
      with open(__lowerCAmelCase   ,				"""w"""   ,				encoding="""utf-8"""					) as writer:
        json.dump(self.emoji   ,				__lowerCAmelCase					)
      return vocab_file, emoji_file



class        a				(		lowerCAmelCase_   ):


    def __init__(					self	:  Any   ,				__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  Any   ,				__lowerCAmelCase	:  Union[str, Any]					):
      _UpperCAmelCase						 =      vocab  # same as swe
      _UpperCAmelCase						 =      ids_to_tokens  # same as bpe
      _UpperCAmelCase						 =      emoji
      _UpperCAmelCase						 =      np.max([len(__lowerCAmelCase					) 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	:  Union[str, Any]					):
      return len(self.ids_to_tokens					)


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


    def      lowerCAmelCase_  (					self	:  Dict   ,				__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  Dict=False					):
      _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(__lowerCAmelCase   ,				__lowerCAmelCase					)
      if clean:
        _UpperCAmelCase						 =      self.clean_text(__lowerCAmelCase					)

      def check_simbol(__lowerCAmelCase	:  List[Any]					):
        _UpperCAmelCase						 =      x.encode()
        if len(__lowerCAmelCase					) == 1 and len(__lowerCAmelCase					) == 2:
          _UpperCAmelCase						 =      (int(e[0]					) << 8) + int(e[1]					)
          if (
              (c >= 0xc2_a1 and c <= 0xc2_bf)
              or (c >= 0xc7_80 and c <= 0xc7_83)
              or (c >= 0xca_b9 and c <= 0xcb_bf)
              or (c >= 0xcc_80 and c <= 0xcd_a2)
          ):
            return True
        return False

      def checkuae(__lowerCAmelCase	:  List[Any]					):
        _UpperCAmelCase						 =      x.encode()
        if len(__lowerCAmelCase					) == 1 and len(__lowerCAmelCase					) == 3:
          _UpperCAmelCase						 =      (int(e[0]					) << 16) + (int(e[1]					) << 8) + int(e[2]					)
          if c >= 0xe2_80_80 and c <= 0xe2_b0_7f:
            return True
        return False

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


    def      lowerCAmelCase_  (					self	:  Union[str, Any]   ,				__lowerCAmelCase	:  List[Any]   ,				__lowerCAmelCase	:  List[str]="\n"					):
      _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(__lowerCAmelCase					) > 0:
          words.append(bytearray(__lowerCAmelCase					).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(__lowerCAmelCase					)
        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(__lowerCAmelCase					)
      if len(__lowerCAmelCase					) > 0:
        words.append(bytearray(__lowerCAmelCase					).decode("""utf-8"""   ,				errors="""replace"""					)					)
      _UpperCAmelCase						 =      """""".join(__lowerCAmelCase					)
      return text

"""simple docstring"""


# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
UpperCAmelCase__  		=						abspath(join(dirname(dirname(__file__)), """src"""))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="""ignore""", category=FutureWarning)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  from diffusers.utils.testing_utils import pytest_addoption_shared

  pytest_addoption_shared(lowercase		)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  from diffusers.utils.testing_utils import pytest_terminal_summary_main

  _UpperCAmelCase						 =      terminalreporter.config.getoption("""--make-reports"""		)
  if make_reports:
    pytest_terminal_summary_main(lowercase   ,id=lowercase		)
