




"""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


_A													=      logging.get_logger(__name__)

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

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



def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    Optional[int]:
      with open(__UpperCAmelCase    ,		"""r"""    ,		encoding="""utf-8"""				) as f:
            lowerCAmelCase__      :			Tuple   =	json.loads(f.read()				)

      lowerCAmelCase__      :			str   =	collections.OrderedDict()
      lowerCAmelCase__      :			Dict   =	collections.OrderedDict()
      lowerCAmelCase__      :			Optional[int]   =	collections.OrderedDict()
      with open(__UpperCAmelCase    ,		"""r"""    ,		encoding="""utf-8"""				) as f:
            lowerCAmelCase__      :			List[str]   =	f.readlines()
      lowerCAmelCase__      :			Optional[Any]   =	[[t.rstrip("""\n"""				)] if (t == """,""" or """,""" not in t) else t.rstrip("""\n"""				).split(""","""				) for t in token]
      for idx, b in enumerate(__UpperCAmelCase				):
            lowerCAmelCase__      :			List[str]   =	b
            lowerCAmelCase__      :			str   =	idx
            for wd in b:
                  lowerCAmelCase__      :			Tuple   =	idx

      return vocab, raw_vocab, ids_to_tokens, emoji


class _lowerCamelCase    (					a_						):
   _lowerCamelCase    :Optional[Any]     				=     VOCAB_FILES_NAMES
   _lowerCamelCase    :Optional[Any]     				=     PRETRAINED_VOCAB_FILES_MAP
   _lowerCamelCase    :Union[str, Any]     				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _lowerCamelCase    :List[Any]     				=     ["input_ids", "attention_mask"]






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

         """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)`"""   )
         lowerCAmelCase__      :			Dict   =	do_clean_text
         lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__      :			Dict   =	load_vocab_and_emoji(UpperCamelCase   ,     UpperCamelCase   )
         lowerCAmelCase__      :			Union[str, Any]   =	SubWordJapaneseTokenizer(
             vocab=self.vocab   ,     ids_to_tokens=self.ids_to_tokens   ,     emoji=self.emoji   )






   @property
   def 	_lowerCAmelCase   (		self       :		Optional[Any]   )			->						Optional[int]:

         """simple docstring"""
         # 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       :		Optional[int]   )			->						List[Any]:

         """simple docstring"""
         return dict(self.raw_vocab   ,     **self.added_tokens_encoder   )






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Union[str, Any]   )			->						Dict:

         """simple docstring"""
         return self.subword_tokenizer.tokenize(UpperCamelCase   ,     clean=self.do_clean_text   )






   def 	_lowerCAmelCase   (		self       :		int   ,     UpperCamelCase       :		Optional[Any]   )			->						List[Any]:

         """simple docstring"""
         return self.vocab.get(UpperCamelCase   ,     self.vocab.get(self.unk_token   )   )






   def 	_lowerCAmelCase   (		self       :		Optional[int]   ,     UpperCamelCase       :		Optional[Any]   )			->						int:

         """simple docstring"""
         return self.subword_tokenizer.convert_id_to_token(UpperCamelCase   )






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		Dict   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	"""""".join(UpperCamelCase   ).strip()
         return out_string






   def 	_lowerCAmelCase   (		self       :		Any   ,     UpperCamelCase       :		"Conversation"   )			->						List[int]:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	[]
         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:
               lowerCAmelCase__      :			str   =	input_ids[-self.model_max_length :]
         return input_ids






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		Optional[str] = None   )			->						Tuple[str]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	0
         if os.path.isdir(UpperCamelCase   ):
               lowerCAmelCase__      :			Union[str, Any]   =	os.path.join(
                   UpperCamelCase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
               lowerCAmelCase__      :			Optional[int]   =	os.path.join(
                   UpperCamelCase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""emoji_file"""]   )
         else:
               lowerCAmelCase__      :			Dict   =	(
                   (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""vocab_file"""]
               )
               lowerCAmelCase__      :			Optional[int]   =	(
                   (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!"""   )
                           lowerCAmelCase__      :			List[str]   =	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 _lowerCamelCase    (					a_						):






   def __init__(		self       :		Union[str, Any]   ,     UpperCamelCase       :		Tuple   ,     UpperCamelCase       :		List[str]   ,     UpperCamelCase       :		int   )			->						List[str]:

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






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

         """simple docstring"""
         return len(self.ids_to_tokens   )






   def 	_lowerCAmelCase   (		self       :		int   ,     UpperCamelCase       :		Any   )			->						Tuple:

         """simple docstring"""
         lowerCAmelCase__      :			List[Any]   =	self.content_repattera.sub("""<URL>"""   ,     UpperCamelCase   )
         lowerCAmelCase__      :			List[str]   =	self.content_repattera.sub("""<EMAIL>"""   ,     UpperCamelCase   )
         lowerCAmelCase__      :			List[str]   =	self.content_repattera.sub("""<TEL>"""   ,     UpperCamelCase   )
         lowerCAmelCase__      :			Union[str, Any]   =	self.content_repattera.sub("""<DATE>"""   ,     UpperCamelCase   )
         lowerCAmelCase__      :			Dict   =	self.content_repattera.sub("""<DATE>"""   ,     UpperCamelCase   )
         lowerCAmelCase__      :			Tuple   =	self.content_repattera.sub("""<PRICE>"""   ,     UpperCamelCase   )
         lowerCAmelCase__      :			str   =	content.translate(self.content_transa   )
         while "<BLOCK><BLOCK>" in content:
               lowerCAmelCase__      :			str   =	content.replace("""<BLOCK><BLOCK>"""   ,     """<BLOCK>"""   )
         return content






   def 	_lowerCAmelCase   (		self       :		Tuple   ,     UpperCamelCase       :		Any   ,     UpperCamelCase       :		Optional[Any]=False   )			->						Union[str, Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	text.replace(""" """   ,     """<SP>"""   )
         lowerCAmelCase__      :			str   =	text.replace("""　"""   ,     """<SP>"""   )
         lowerCAmelCase__      :			Tuple   =	text.replace("""\r\n"""   ,     """<BR>"""   )
         lowerCAmelCase__      :			Union[str, Any]   =	text.replace("""\n"""   ,     """<BR>"""   )
         lowerCAmelCase__      :			int   =	text.replace("""\r"""   ,     """<BR>"""   )
         lowerCAmelCase__      :			Tuple   =	text.replace("""\t"""   ,     """<TAB>"""   )
         lowerCAmelCase__      :			List[Any]   =	text.replace("""—"""   ,     """ー"""   )
         lowerCAmelCase__      :			Union[str, Any]   =	text.replace("""−"""   ,     """ー"""   )
         for k, v in self.emoji["emoji"].items():
               if k in text:
                     lowerCAmelCase__      :			List[str]   =	text.replace(UpperCamelCase   ,     UpperCamelCase   )
         if clean:
               lowerCAmelCase__      :			Optional[Any]   =	self.clean_text(UpperCamelCase   )

         def check_simbol(UpperCamelCase       :		Optional[int]   ):
               lowerCAmelCase__      :			Tuple   =	x.encode()
               if len(UpperCamelCase   ) == 1 and len(UpperCamelCase   ) == 2:
                     lowerCAmelCase__      :			Any   =	(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(UpperCamelCase       :		int   ):
               lowerCAmelCase__      :			List[Any]   =	x.encode()
               if len(UpperCamelCase   ) == 1 and len(UpperCamelCase   ) == 3:
                     lowerCAmelCase__      :			Any   =	(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

         lowerCAmelCase__      :			Tuple   =	0
         lowerCAmelCase__      :			Dict   =	[]
         while pos < len(UpperCamelCase   ):
               lowerCAmelCase__      :			List[str]   =	min(len(UpperCamelCase   )   ,     pos + self.maxlen + 1   ) if text[pos] == """<""" else pos + 3
               lowerCAmelCase__      :			Tuple   =	[]  # (token_id, token, pos)
               for e in range(UpperCamelCase   ,     UpperCamelCase   ,     -1   ):
                     lowerCAmelCase__      :			Tuple   =	text[pos:e]
                     if wd in self.vocab:
                           if wd[0] == "<" and len(UpperCamelCase   ) > 2:
                                 lowerCAmelCase__      :			List[Any]   =	[(self.vocab[wd], wd, e)]
                                 break
                           else:
                                 candidates.append((self.vocab[wd], wd, e)   )
               if len(UpperCamelCase   ) > 0:
                     # the smallest token_id is adopted
                     lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__      :			List[str]   =	sorted(UpperCamelCase   ,     key=lambda UpperCamelCase   : x[0]   )[0]
                     result.append(UpperCamelCase   )
                     lowerCAmelCase__      :			Optional[Any]   =	e
               else:
                     lowerCAmelCase__      :			Dict   =	pos + 1
                     lowerCAmelCase__      :			Tuple   =	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   )
                     lowerCAmelCase__      :			Dict   =	end
         return result






   def 	_lowerCAmelCase   (		self       :		Tuple   ,     UpperCamelCase       :		Optional[Any]   ,     UpperCamelCase       :		Optional[Any]="\n"   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Tuple   =	[]
         lowerCAmelCase__      :			Dict   =	[]
         lowerCAmelCase__      :			List[str]   =	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"""   )   )
                     lowerCAmelCase__      :			Dict   =	[]
               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"""   )   )
         lowerCAmelCase__      :			List[Any]   =	"""""".join(UpperCamelCase   )
         return text











"""simple docstring"""


def 	lowercase_				(			__UpperCAmelCase    ,		__UpperCAmelCase				)						->    str:
      return "\n".join(
          f"""{number} * {i} = {number * i}""" for i in range(1    ,		number_of_terms + 1				)				)


if __name__ == "__main__":
  print(multiplication_table(number=5, number_of_terms=1_0))





