
'''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


_lowercase			:  Union[str, Any]   							=	logging.get_logger(__name__)

_lowercase			:  List[Any]   							=	{"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

_lowercase			:  Union[str, 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",
    },
}

_lowercase			:  Any   							=	{
    "abeja/gpt-neox-japanese-2.7b": 2_0_4_8,
}
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			Optional[int]				,				__SCREAMING_SNAKE_CASE :			str							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE				,				'''r'''				,				encoding='''utf-8'''							) as f:
												lowercase_     :					List[str]													=	json.loads(f.read()							)

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

						return vocab, raw_vocab, ids_to_tokens, emoji






class 			lowerCAmelCase__       (  lowerCamelCase_					):
					lowerCAmelCase_					       =					VOCAB_FILES_NAMES
					lowerCAmelCase_					       =					PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_					       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_					       =					['''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    ,							):


											"""simple docstring"""





											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)`'''		)
											lowercase_     :					Union[str, Any]													=	do_clean_text
											lowercase_						,			lowercase_						,			lowercase_						,			lowercase_     :					Any													=	load_vocab_and_emoji(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[int]													=	SubWordJapaneseTokenizer(
											    vocab=self.vocab    ,							ids_to_tokens=self.ids_to_tokens    ,							emoji=self.emoji		)






					@property
					def      _snake_case   (       self		):


											"""simple docstring"""





											return len(self.raw_vocab		)






					def      _snake_case   (       self		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return self.subword_tokenizer.convert_id_to_token(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Any													=	''''''.join(__SCREAMING_SNAKE_CASE		).strip()
											return out_string






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					str													=	[]
											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:
																	lowercase_     :					Dict													=	input_ids[-self.model_max_length :]
											return input_ids






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_     :					Dict													=	0
											if os.path.isdir(__SCREAMING_SNAKE_CASE		):
																	lowercase_     :					int													=	os.path.join(
																	    __SCREAMING_SNAKE_CASE    ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
																	lowercase_     :					Optional[int]													=	os.path.join(
																	    __SCREAMING_SNAKE_CASE    ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file''']		)
											else:
																	lowercase_     :					List[str]													=	(
																	    (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
																	)
																	lowercase_     :					List[str]													=	(
																	    (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!'''		)
																													lowercase_     :					Union[str, 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 			lowerCAmelCase__       (  lowerCamelCase_					):






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def __len__(       self		):


											"""simple docstring"""





											return len(self.ids_to_tokens		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Tuple													=	self.content_repattera.sub('''<URL>'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Any													=	self.content_repattera.sub('''<EMAIL>'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Tuple													=	self.content_repattera.sub('''<TEL>'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					str													=	self.content_repattera.sub('''<DATE>'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					str													=	self.content_repattera.sub('''<DATE>'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Tuple													=	self.content_repattera.sub('''<PRICE>'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Union[str, Any]													=	content.translate(self.content_transa		)
											while "<BLOCK><BLOCK>" in content:
																	lowercase_     :					str													=	content.replace('''<BLOCK><BLOCK>'''    ,							'''<BLOCK>'''		)
											return content






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE=False		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	text.replace(''' '''    ,							'''<SP>'''		)
											lowercase_     :					Union[str, Any]													=	text.replace('''　'''    ,							'''<SP>'''		)
											lowercase_     :					List[str]													=	text.replace('''\r\n'''    ,							'''<BR>'''		)
											lowercase_     :					str													=	text.replace('''\n'''    ,							'''<BR>'''		)
											lowercase_     :					List[str]													=	text.replace('''\r'''    ,							'''<BR>'''		)
											lowercase_     :					List[str]													=	text.replace('''\t'''    ,							'''<TAB>'''		)
											lowercase_     :					Any													=	text.replace('''—'''    ,							'''ー'''		)
											lowercase_     :					Optional[int]													=	text.replace('''−'''    ,							'''ー'''		)
											for k, v in self.emoji["emoji"].items():
																	if k in text:
																							lowercase_     :					str													=	text.replace(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)
											if clean:
																	lowercase_     :					List[str]													=	self.clean_text(__SCREAMING_SNAKE_CASE		)

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

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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE="\n"		):


											"""simple docstring"""





											lowercase_     :					str													=	[]
											lowercase_     :					Any													=	[]
											lowercase_     :					str													=	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'''		)		)
																							lowercase_     :					Optional[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'''		)		)
											lowercase_     :					List[Any]													=	''''''.join(__SCREAMING_SNAKE_CASE		)
											return text





'''simple docstring'''







from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					Tuple													=	prime_factors(__SCREAMING_SNAKE_CASE							)
						if is_square_free(__SCREAMING_SNAKE_CASE							):
												return -1 if len(__SCREAMING_SNAKE_CASE							) % 2 else 1
						return 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()



