





"""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


_snake_case     :		List[str]       						= logging.get_logger(__name__)

_snake_case     :		int       						= {'vocab_file': 'vocab.txt', 'emoji_file': 'emoji.json'}

_snake_case     :		Optional[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',
    },
}

_snake_case     :		int       						= {
    'abeja/gpt-neox-japanese-2.7b': 2048,
}






def 					A__				(			UpperCamelCase					,  UpperCamelCase       ):
							with open(UpperCamelCase					,  "r"					,  encoding="utf-8"       ) as f:
														A		=  json.loads(f.read()       )

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

							return vocab, raw_vocab, ids_to_tokens, emoji






class 					_UpperCAmelCase   (	lowercase_ ):
					UpperCamelCase      =							VOCAB_FILES_NAMES
					UpperCamelCase      =							PRETRAINED_VOCAB_FILES_MAP
					UpperCamelCase      =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCamelCase      =							['''input_ids''', '''attention_mask''']


					def __init__(					self			:Any     ,       __UpperCamelCase			:Dict     ,       __UpperCamelCase			:Optional[int]     ,       __UpperCamelCase			:Tuple="<|endoftext|>"     ,       __UpperCamelCase			:List[str]="<|endoftext|>"     ,       __UpperCamelCase			:Any="<|startoftext|>"     ,       __UpperCamelCase			:List[Any]="<|endoftext|>"     ,       __UpperCamelCase			:Optional[int]=False     ,       **__UpperCamelCase			:Dict     ,       ):
												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)`"		)
												A		=  do_clean_text
												A,	A,	A,	A		=  load_vocab_and_emoji(__UpperCamelCase     ,       __UpperCamelCase		)
												A		=  SubWordJapaneseTokenizer(
												    vocab=self.vocab     ,       ids_to_tokens=self.ids_to_tokens     ,       emoji=self.emoji		)


					@property
					def 	lowerCamelCase       (					self			:Union[str, 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			:Tuple     ,       __UpperCamelCase			:Tuple		):
												return self.subword_tokenizer.tokenize(__UpperCamelCase     ,       clean=self.do_clean_text		)


					def 	lowerCamelCase       (					self			:List[Any]     ,       __UpperCamelCase			:Union[str, Any]		):
												return self.vocab.get(__UpperCamelCase     ,       self.vocab.get(self.unk_token		)		)


					def 	lowerCamelCase       (					self			:List[Any]     ,       __UpperCamelCase			:Any		):
												return self.subword_tokenizer.convert_id_to_token(__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:List[str]     ,       __UpperCamelCase			:Tuple		):
												A		=  "".join(__UpperCamelCase		).strip()
												return out_string


					def 	lowerCamelCase       (					self			:List[Any]     ,       __UpperCamelCase			:"Conversation"		):
												A		=  []
												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:
																			A		=  input_ids[-self.model_max_length :]
												return input_ids


					def 	lowerCamelCase       (					self			:Any     ,       __UpperCamelCase			:str     ,       __UpperCamelCase			:Optional[str] = None		):
												A		=  0
												if os.path.isdir(__UpperCamelCase		):
																			A		=  os.path.join(
																			    __UpperCamelCase     ,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
																			A		=  os.path.join(
																			    __UpperCamelCase     ,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"]		)
												else:
																			A		=  (
																			    (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
																			)
																			A		=  (
																			    (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!"		)
																																	A		=  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 					_UpperCAmelCase   (	lowercase_ ):


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


					def __len__(					self			:Any		):
												return len(self.ids_to_tokens		)


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


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:Dict     ,       __UpperCamelCase			:Tuple=False		):
												A		=  text.replace(" "     ,       "<SP>"		)
												A		=  text.replace("　"     ,       "<SP>"		)
												A		=  text.replace("\r\n"     ,       "<BR>"		)
												A		=  text.replace("\n"     ,       "<BR>"		)
												A		=  text.replace("\r"     ,       "<BR>"		)
												A		=  text.replace("\t"     ,       "<TAB>"		)
												A		=  text.replace("—"     ,       "ー"		)
												A		=  text.replace("−"     ,       "ー"		)
												for k, v in self.emoji["emoji"].items():
																			if k in text:
																										A		=  text.replace(__UpperCamelCase     ,       __UpperCamelCase		)
												if clean:
																			A		=  self.clean_text(__UpperCamelCase		)

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

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


					def 	lowerCamelCase       (					self			:Dict     ,       __UpperCamelCase			:str     ,       __UpperCamelCase			:List[str]="\n"		):
												A		=  []
												A		=  []
												A		=  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"		)		)
																										A		=  []
																			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"		)		)
												A		=  "".join(__UpperCamelCase		)
												return text









"""simple docstring"""
def 					A__				(			UpperCamelCase					,  UpperCamelCase = False       ):

							if not isinstance(UpperCamelCase					,  UpperCamelCase       ):
														A		=  F"Expected string as input, found {type(UpperCamelCase       )}"
														raise ValueError(UpperCamelCase       )
							if not isinstance(UpperCamelCase					,  UpperCamelCase       ):
														A		=  F"Expected boolean as use_pascal parameter, found {type(UpperCamelCase       )}"
														raise ValueError(UpperCamelCase       )

							A		=  input_str.split("_"       )

							A		=  0 if use_pascal else 1

							A		=  words[start_index:]

							A		=  [word[0].upper() + word[1:] for word in words_to_capitalize]

							A		=  "" if use_pascal else words[0]

							return "".join([initial_word, *capitalized_words]       )


if __name__ == "__main__":
		from doctest import testmod

		testmod()


