






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


lowercase  :							str			  =    logging.get_logger(__name__)

lowercase  :							List[str]			  =    {'''vocab_file''': '''vocab.txt''', '''emoji_file''': '''emoji.json'''}

lowercase  :							List[str]			  =    {
    '''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''',
    },
}

lowercase  :							Any			  =    {
    '''abeja/gpt-neox-japanese-2.7b''': 20_48,
}

def      lowerCAmelCase__	(    _a       :			Any  ,      _a       :			Optional[int]    ):
		with open(_a  ,      "r"  ,      encoding="utf-8"    ) as f:
				snake_case_				:							List[str]						 =       json.loads(f.read()    )

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

		return vocab, raw_vocab, ids_to_tokens, emoji




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




						A     :   int						=					VOCAB_FILES_NAMES
						A     :   Dict						=					PRETRAINED_VOCAB_FILES_MAP
						A     :   Tuple						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A     :   int						=					['input_ids', 'attention_mask']






						def __init__(	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE="<|endoftext|>"		,				_SCREAMING_SNAKE_CASE="<|endoftext|>"		,				_SCREAMING_SNAKE_CASE="<|startoftext|>"		,				_SCREAMING_SNAKE_CASE="<|endoftext|>"		,				_SCREAMING_SNAKE_CASE=False		,				**_SCREAMING_SNAKE_CASE		,				) ->				int:
								super().__init__(
								    unk_token=_SCREAMING_SNAKE_CASE		,				pad_token=_SCREAMING_SNAKE_CASE		,				bos_token=_SCREAMING_SNAKE_CASE		,				eos_token=_SCREAMING_SNAKE_CASE		,				do_clean_text=_SCREAMING_SNAKE_CASE		,				**_SCREAMING_SNAKE_CASE		,				)
								if not os.path.isfile(_SCREAMING_SNAKE_CASE				):
										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(_SCREAMING_SNAKE_CASE				):
										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)`"				)
								snake_case_				:							List[Any]						 =       do_clean_text
								snake_case_ ,       snake_case_ ,       snake_case_ ,       snake_case_				:							Optional[Any]						 =       load_vocab_and_emoji(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				)
								snake_case_				:							str						 =       SubWordJapaneseTokenizer(
								    vocab=self.vocab		,				ids_to_tokens=self.ids_to_tokens		,				emoji=self.emoji				)






						@property
						def       _lowerCAmelCase       (	self				) ->				int:
								# 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]:
								return dict(self.raw_vocab		,				**self.added_tokens_encoder				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				int:
								return self.subword_tokenizer.tokenize(_SCREAMING_SNAKE_CASE		,				clean=self.do_clean_text				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				List[Any]:
								return self.vocab.get(_SCREAMING_SNAKE_CASE		,				self.vocab.get(self.unk_token				)				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				int:
								return self.subword_tokenizer.convert_id_to_token(_SCREAMING_SNAKE_CASE				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				Any:
								snake_case_				:							List[Any]						 =       "".join(_SCREAMING_SNAKE_CASE				).strip()
								return out_string






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				List[int]:
								snake_case_				:							Dict						 =       []
								for is_user, text in conversation.iter_texts():
										input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE		,				add_special_tokens=_SCREAMING_SNAKE_CASE				) + [self.eos_token_id]				)

								if len(_SCREAMING_SNAKE_CASE				) > self.model_max_length:
										snake_case_				:							Any						 =       input_ids[-self.model_max_length :]
								return input_ids






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None				) ->				Tuple[str]:
								snake_case_				:							Union[str, Any]						 =       0
								if os.path.isdir(_SCREAMING_SNAKE_CASE				):
										snake_case_				:							Optional[int]						 =       os.path.join(
										    _SCREAMING_SNAKE_CASE		,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)
										snake_case_				:							Optional[Any]						 =       os.path.join(
										    _SCREAMING_SNAKE_CASE		,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"]				)
								else:
										snake_case_				:							Union[str, Any]						 =       (
										    (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
										)
										snake_case_				:							Tuple						 =       (
										    (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["emoji_file"]
										)
								with open(_SCREAMING_SNAKE_CASE		,				"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!"				)
														snake_case_				:							List[Any]						 =       token_index
												writer.write(",".join(_SCREAMING_SNAKE_CASE				) + "\n"				)
												index += 1
								with open(_SCREAMING_SNAKE_CASE		,				"w"		,				encoding="utf-8"				) as writer:
										json.dump(self.emoji		,				_SCREAMING_SNAKE_CASE				)
								return vocab_file, emoji_file




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




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






						def __len__(	self				) ->				List[Any]:
								return len(self.ids_to_tokens				)






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






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

								def check_simbol(_SCREAMING_SNAKE_CASE				):
										snake_case_				:							Union[str, Any]						 =       x.encode()
										if len(_SCREAMING_SNAKE_CASE				) == 1 and len(_SCREAMING_SNAKE_CASE				) == 2:
												snake_case_				:							Dict						 =       (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(_SCREAMING_SNAKE_CASE				):
										snake_case_				:							Optional[Any]						 =       x.encode()
										if len(_SCREAMING_SNAKE_CASE				) == 1 and len(_SCREAMING_SNAKE_CASE				) == 3:
												snake_case_				:							Optional[Any]						 =       (int(e[0]				) << 16) + (int(e[1]				) << 8) + int(e[2]				)
												if c >= 0Xe2_8080 and c <= 0Xe2_b07f:
														return True
										return False

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






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE="\n"				) ->				Any:
								snake_case_				:							Optional[Any]						 =       []
								snake_case_				:							str						 =       []
								snake_case_				:							Tuple						 =       self.ids_to_tokens[index][0]
								if word[:6] == "<|byte" and word[-2:] == "|>":
										byte_tokens.append(int(word[6:-2]				)				)
								else:
										if len(_SCREAMING_SNAKE_CASE				) > 0:
												words.append(bytearray(_SCREAMING_SNAKE_CASE				).decode("utf-8"		,				errors="replace"				)				)
												snake_case_				:							int						 =       []
										if word[:7] == "<|emoji" and word[-2:] == "|>":
												words.append(self.emoji["emoji_inv"][word]				)
										elif word == "<SP>":
												words.append(" "				)
										elif word == "<BR>":
												words.append(_SCREAMING_SNAKE_CASE				)
										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(_SCREAMING_SNAKE_CASE				)
								if len(_SCREAMING_SNAKE_CASE				) > 0:
										words.append(bytearray(_SCREAMING_SNAKE_CASE				).decode("utf-8"		,				errors="replace"				)				)
								snake_case_				:							Union[str, Any]						 =       "".join(_SCREAMING_SNAKE_CASE				)
								return text








import math

def      lowerCAmelCase__	(    _a       :			int    ):

		if 1 < number < 4:
				# 2 and 3 are primes
				return True
		elif number < 2 or number % 2 == 0 or number % 3 == 0:
				# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
				return False

		# All primes number are in format of 6k +/- 1
		for i in range(5  ,      int(math.sqrt(_a    ) + 1    )  ,      6    ):
				if number % i == 0 or number % (i + 2) == 0:
						return False
		return True

def      lowerCAmelCase__	(    _a       :			float = 0.1    ):
		snake_case_				:							int						 =       3
		snake_case_				:							Optional[Any]						 =       3

		while primes / (2 * j - 1) >= ratio:
				for i in range(j * j + j + 1  ,      (j + 2) * (j + 2)  ,      j + 1    ):
						primes += is_prime(_a    )
				j += 2
		return j


if __name__ == "__main__":
							import doctest

							doctest.testmod()
