






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''': 2048,
}







def     a_   (__A				,       __A      )				->						str:



					"""simple docstring"""
					with open(__A				,       "r"				,       encoding="utf-8"      ) as f:
										__a					:						Optional[int]      =					json.loads(f.read()      )

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

					return vocab, raw_vocab, ids_to_tokens, emoji




class 							snake_case_       (    __UpperCamelCase      ):

						"""simple docstring"""



						snake_case__        =      VOCAB_FILES_NAMES
						snake_case__        =      PRETRAINED_VOCAB_FILES_MAP
						snake_case__        =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						snake_case__        =      ["""input_ids""", """attention_mask"""]



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




											'''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)`"   )
											__a					:						Union[str, Any]      =					do_clean_text
											__a      ,			__a      ,			__a      ,			__a					:						str      =					load_vocab_and_emoji(__UpperCAmelCase ,					__UpperCAmelCase   )
											__a					:						Union[str, Any]      =					SubWordJapaneseTokenizer(
											    vocab=self.vocab ,					ids_to_tokens=self.ids_to_tokens ,					emoji=self.emoji   )



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




											'''simple docstring'''



											return len(self.raw_vocab   )



						def        UpperCAmelCase__					(self:					Optional[Any]   )    ->     List[Any]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					str ,					__UpperCAmelCase:					int   )    ->     List[Any]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					List[str] ,					__UpperCAmelCase:					Union[str, Any]   )    ->     Optional[Any]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					List[Any] ,					__UpperCAmelCase:					Union[str, Any]   )    ->     List[Any]:




											'''simple docstring'''



											return self.subword_tokenizer.convert_id_to_token(__UpperCAmelCase   )



						def        UpperCAmelCase__					(self:					Optional[Any] ,					__UpperCAmelCase:					List[str]   )    ->     Tuple:




											'''simple docstring'''



											__a					:						Dict      =					"".join(__UpperCAmelCase   ).strip()
											return out_string



						def        UpperCAmelCase__					(self:					Dict ,					__UpperCAmelCase:					"Conversation"   )    ->     List[int]:




											'''simple docstring'''



											__a					:						List[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:
																__a					:						int      =					input_ids[-self.model_max_length :]
											return input_ids



						def        UpperCAmelCase__					(self:					List[str] ,					__UpperCAmelCase:					str ,					__UpperCAmelCase:					Optional[str] = None   )    ->     Tuple[str]:




											'''simple docstring'''



											__a					:						Any      =					0
											if os.path.isdir(__UpperCAmelCase   ):
																__a					:						Any      =					os.path.join(
																    __UpperCAmelCase ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )
																__a					:						Any      =					os.path.join(
																    __UpperCAmelCase ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"]   )
											else:
																__a					:						List[str]      =					(
																    (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
																)
																__a					:						Any      =					(
																    (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					:						Union[str, Any]      =					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 							snake_case_       (    __UpperCamelCase      ):

						"""simple docstring"""



						def __init__(self:					Dict ,					__UpperCAmelCase:					str ,					__UpperCAmelCase:					List[Any] ,					__UpperCAmelCase:					List[str]   )    ->     List[Any]:




											'''simple docstring'''



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



						def __len__(self:					Tuple   )    ->     Optional[int]:




											'''simple docstring'''



											return len(self.ids_to_tokens   )



						def        UpperCAmelCase__					(self:					Tuple ,					__UpperCAmelCase:					Optional[Any]   )    ->     int:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					Dict ,					__UpperCAmelCase:					Optional[Any] ,					__UpperCAmelCase:					Optional[Any]=False   )    ->     Optional[Any]:




											'''simple docstring'''



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

											def check_simbol(__UpperCAmelCase:					Tuple   ):
																__a					:						str      =					x.encode()
																if len(__UpperCAmelCase   ) == 1 and len(__UpperCAmelCase   ) == 2:
																					__a					:						int      =					(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:					Optional[int]   ):
																__a					:						Any      =					x.encode()
																if len(__UpperCAmelCase   ) == 1 and len(__UpperCAmelCase   ) == 3:
																					__a					:						Any      =					(int(e[0]   ) << 16) + (int(e[1]   ) << 8) + int(e[2]   )
																					if c >= 0XE2_8080 and c <= 0XE2_B07F:
																										return True
																return False

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



						def        UpperCAmelCase__					(self:					str ,					__UpperCAmelCase:					int ,					__UpperCAmelCase:					Union[str, Any]="\n"   )    ->     int:




											'''simple docstring'''



											__a					:						Dict      =					[]
											__a					:						int      =					[]
											__a					:						Any      =					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					:						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"   )   )
											__a					:						Optional[int]      =					"".join(__UpperCAmelCase   )
											return text













from __future__ import annotations







def     a_   (__A      )				->						int:



					"""simple docstring"""
					__a					:						List[Any]      =					len(__A      ) // 2

					# choose the middle 3 elements
					__a					:						Any      =					lst[m - 1 : m + 2]

					# if middle element is peak
					if three[1] > three[0] and three[1] > three[2]:
										return three[1]

					# if increasing, recurse on right
					elif three[0] < three[2]:
										if len(lst[:m]      ) == 2:
															m -= 1
										return peak(lst[m:]      )

					# decreasing
					else:
										if len(lst[:m]      ) == 2:
															m += 1
										return peak(lst[:m]      )


if __name__ == "__main__":
			import doctest

			doctest.testmod()





