
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


_lowerCamelCase			:							Any         =     logging.get_logger(__name__)

_lowerCamelCase			:							Tuple         =     {'vocab_file': 'vocab.txt', 'emoji_file': 'emoji.json'}

_lowerCamelCase			:							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',
    },
}

_lowerCamelCase			:							List[Any]         =     {
    'abeja/gpt-neox-japanese-2.7b': 2_048,
}






def 			a_						(			__lowercase  :      Any			,   __lowercase  :      int					)					->    Dict:
			with open(lowerCamelCase_			,   'r'			,   encoding='utf-8'					) as f:
						_snake_case            =     json.loads(f.read()					)

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

			return vocab, raw_vocab, ids_to_tokens, emoji




class   SCREAMING_SNAKE_CASE__	(      A__   ):





	'''simple docstring'''



	_UpperCAmelCase			:						Optional[int]         =   VOCAB_FILES_NAMES
	_UpperCAmelCase			:						Any         =   PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase			:						List[Any]         =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCAmelCase			:						Dict         =   ["input_ids", "attention_mask"]



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


				'''simple docstring'''


				super().__init__(
				    unk_token=lowercase     ,    pad_token=lowercase     ,    bos_token=lowercase     ,    eos_token=lowercase     ,    do_clean_text=lowercase     ,    **lowercase     ,    )
				if not os.path.isfile(lowercase      ):
							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(lowercase      ):
							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            =     do_clean_text
				_snake_case      ,   _snake_case      ,   _snake_case      ,   _snake_case            =     load_vocab_and_emoji(lowercase     ,    lowercase      )
				_snake_case            =     SubWordJapaneseTokenizer(
				    vocab=self.vocab     ,    ids_to_tokens=self.ids_to_tokens     ,    emoji=self.emoji      )



	@property
	def 					A				(    self      :       int      ):


				'''simple docstring'''


				return len(self.raw_vocab      )



	def 					A				(    self      :       List[str]      ):


				'''simple docstring'''


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



	def 					A				(    self      :       str     ,    lowercase      :       Any      ):


				'''simple docstring'''


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



	def 					A				(    self      :       List[Any]     ,    lowercase      :       List[str]      ):


				'''simple docstring'''


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



	def 					A				(    self      :       Dict     ,    lowercase      :       Any      ):


				'''simple docstring'''


				return self.subword_tokenizer.convert_id_to_token(lowercase      )



	def 					A				(    self      :       Dict     ,    lowercase      :       List[Any]      ):


				'''simple docstring'''


				_snake_case            =     ''.join(lowercase      ).strip()
				return out_string



	def 					A				(    self      :       Any     ,    lowercase      :       "Conversation"      ):


				'''simple docstring'''


				_snake_case            =     []
				for is_user, text in conversation.iter_texts():
							input_ids.extend(self.encode(lowercase     ,    add_special_tokens=lowercase      ) + [self.eos_token_id]      )

				if len(lowercase      ) > self.model_max_length:
							_snake_case            =     input_ids[-self.model_max_length :]
				return input_ids





	def 					A				(    self      :       List[Any]     ,    lowercase      :       str     ,    lowercase      :       Optional[str] = None      ):


				'''simple docstring'''


				_snake_case            =     0
				if os.path.isdir(lowercase      ):
							_snake_case            =     os.path.join(
							    lowercase     ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
							_snake_case            =     os.path.join(
							    lowercase     ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']      )
				else:
							_snake_case            =     (
							    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
							)
							_snake_case            =     (
							    (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['emoji_file']
							)
				with open(lowercase     ,    '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            =     token_index
										writer.write(','.join(lowercase      ) + '\n'      )
										index += 1
				with open(lowercase     ,    'w'     ,    encoding='utf-8'      ) as writer:
							json.dump(self.emoji     ,    lowercase      )
				return vocab_file, emoji_file




class   SCREAMING_SNAKE_CASE__	(      A__   ):





	'''simple docstring'''



	def __init__(    self      :       Union[str, Any]     ,    lowercase      :       Optional[int]     ,    lowercase      :       int     ,    lowercase      :       List[str]      ):


				'''simple docstring'''


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



	def __len__(    self      :       Optional[int]      ):


				'''simple docstring'''


				return len(self.ids_to_tokens      )



	def 					A				(    self      :       Union[str, Any]     ,    lowercase      :       Dict      ):


				'''simple docstring'''


				_snake_case            =     self.content_repattera.sub('<URL>'     ,    lowercase      )
				_snake_case            =     self.content_repattera.sub('<EMAIL>'     ,    lowercase      )
				_snake_case            =     self.content_repattera.sub('<TEL>'     ,    lowercase      )
				_snake_case            =     self.content_repattera.sub('<DATE>'     ,    lowercase      )
				_snake_case            =     self.content_repattera.sub('<DATE>'     ,    lowercase      )
				_snake_case            =     self.content_repattera.sub('<PRICE>'     ,    lowercase      )
				_snake_case            =     content.translate(self.content_transa      )
				while "<BLOCK><BLOCK>" in content:
							_snake_case            =     content.replace('<BLOCK><BLOCK>'     ,    '<BLOCK>'      )
				return content



	def 					A				(    self      :       Union[str, Any]     ,    lowercase      :       List[Any]     ,    lowercase      :       str=False      ):


				'''simple docstring'''


				_snake_case            =     text.replace(' '     ,    '<SP>'      )
				_snake_case            =     text.replace('　'     ,    '<SP>'      )
				_snake_case            =     text.replace('\r\n'     ,    '<BR>'      )
				_snake_case            =     text.replace('\n'     ,    '<BR>'      )
				_snake_case            =     text.replace('\r'     ,    '<BR>'      )
				_snake_case            =     text.replace('\t'     ,    '<TAB>'      )
				_snake_case            =     text.replace('—'     ,    'ー'      )
				_snake_case            =     text.replace('−'     ,    'ー'      )
				for k, v in self.emoji["emoji"].items():
							if k in text:
										_snake_case            =     text.replace(lowercase     ,    lowercase      )
				if clean:
							_snake_case            =     self.clean_text(lowercase      )

				def check_simbol(lowercase      :       Any      ):
							_snake_case            =     x.encode()
							if len(lowercase      ) == 1 and len(lowercase      ) == 2:
										_snake_case            =     (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(lowercase      :       Optional[Any]      ):
							_snake_case            =     x.encode()
							if len(lowercase      ) == 1 and len(lowercase      ) == 3:
										_snake_case            =     (int(e[0]      ) << 16) + (int(e[1]      ) << 8) + int(e[2]      )
										if c >= 0xE28080 and c <= 0xE2B07F:
													return True
							return False

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





	def 					A				(    self      :       Optional[Any]     ,    lowercase      :       List[Any]     ,    lowercase      :       Dict="\n"      ):


				'''simple docstring'''


				_snake_case            =     []
				_snake_case            =     []
				_snake_case            =     self.ids_to_tokens[index][0]
				if word[:6] == "<|byte" and word[-2:] == "|>":
							byte_tokens.append(int(word[6:-2]      )      )
				else:
							if len(lowercase      ) > 0:
										words.append(bytearray(lowercase      ).decode('utf-8'     ,    errors='replace'      )      )
										_snake_case            =     []
							if word[:7] == "<|emoji" and word[-2:] == "|>":
										words.append(self.emoji['emoji_inv'][word]      )
							elif word == "<SP>":
										words.append(' '      )
							elif word == "<BR>":
										words.append(lowercase      )
							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(lowercase      )
				if len(lowercase      ) > 0:
							words.append(bytearray(lowercase      ).decode('utf-8'     ,    errors='replace'      )      )
				_snake_case            =     ''.join(lowercase      )
				return text







def     a     (		lowerCamelCase_							):






				'''simple docstring'''

				if p < 2:
								raise ValueError('''p should not be less than 2!'''							)
				elif p == 2:
								return True

				lowercase__  					=     4
				lowercase__  					=     (1 << p) - 1
				for _ in range(p - 2							):
								lowercase__  					=     ((s * s) - 2) % m
				return s == 0


if __name__ == "__main__":
							print(lucas_lehmer_test(7))
							print(lucas_lehmer_test(11))




