



"""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


a_			   =					logging.get_logger(__name__)

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

a_			   =					{
    '''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''',
    },
}

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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Dict				,    SCREAMING_SNAKE_CASE__ :  Any			):



					"""simple docstring"""





					with open(SCREAMING_SNAKE_CASE__				,    """r"""				,    encoding="""utf-8"""			) as f:
										snake_case_					:		int 					=					json.loads(f.read()			)

					snake_case_					:		int 					=					collections.OrderedDict()
					snake_case_					:		Optional[int] 					=					collections.OrderedDict()
					snake_case_					:		int 					=					collections.OrderedDict()
					with open(SCREAMING_SNAKE_CASE__				,    """r"""				,    encoding="""utf-8"""			) as f:
										snake_case_					:		Optional[Any] 					=					f.readlines()
					snake_case_					:		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__			):
										snake_case_					:		Dict 					=					b
										snake_case_					:		List[Any] 					=					idx
										for wd in b:
															snake_case_					:		Optional[Any] 					=					idx

					return vocab, raw_vocab, ids_to_tokens, emoji







class    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







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







						def __init__(self   ,		lowercase__   ,		lowercase__   ,		lowercase__="<|endoftext|>"   ,		lowercase__="<|endoftext|>"   ,		lowercase__="<|startoftext|>"   ,		lowercase__="<|endoftext|>"   ,		lowercase__=False   ,		**lowercase__   ,		):
											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_					:		Optional[int] 					=					do_clean_text
											snake_case_					:		Union[str, Any] 					=					load_vocab_and_emoji(lowercase__   ,		lowercase__       )
											snake_case_					:		Tuple 					=					SubWordJapaneseTokenizer(
											    vocab=self.vocab   ,		ids_to_tokens=self.ids_to_tokens   ,		emoji=self.emoji       )







						@property
						def 						__UpperCamelCase							(self       ):
											# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
											return len(self.raw_vocab       )







						def 						__UpperCamelCase							(self       ):
											return dict(self.raw_vocab   ,		**self.added_tokens_encoder       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											return self.subword_tokenizer.tokenize(lowercase__   ,		clean=self.do_clean_text       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											return self.vocab.get(lowercase__   ,		self.vocab.get(self.unk_token       )       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											return self.subword_tokenizer.convert_id_to_token(lowercase__       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		Union[str, Any] 					=					"""""".join(lowercase__       ).strip()
											return out_string







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		Tuple 					=					[]
											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_					:		Dict 					=					input_ids[-self.model_max_length :]
											return input_ids







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__ = None       ):
											snake_case_					:		int 					=					0
											if os.path.isdir(lowercase__       ):
																snake_case_					:		Optional[int] 					=					os.path.join(
																    lowercase__   ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )
																snake_case_					:		Tuple 					=					os.path.join(
																    lowercase__   ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""emoji_file"""]       )
											else:
																snake_case_					:		Optional[Any] 					=					(
																    (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""vocab_file"""]
																)
																snake_case_					:		Union[str, Any] 					=					(
																    (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_					:		int 					=					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    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







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







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







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







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

											def check_simbol(lowercase__       ):
																snake_case_					:		int 					=					x.encode()
																if len(lowercase__       ) == 1 and len(lowercase__       ) == 2:
																					snake_case_					:		Tuple 					=					(int(e[0]       ) << 8) + int(e[1]       )
																					if (
																					    (c >= 0Xc_2_a_1 and c <= 0Xc_2_b_f)
																					    or (c >= 0Xc_7_8_0 and c <= 0Xc_7_8_3)
																					    or (c >= 0Xc_a_b_9 and c <= 0Xc_b_b_f)
																					    or (c >= 0Xc_c_8_0 and c <= 0Xc_d_a_2)
																					):
																										return True
																return False

											def checkuae(lowercase__       ):
																snake_case_					:		int 					=					x.encode()
																if len(lowercase__       ) == 1 and len(lowercase__       ) == 3:
																					snake_case_					:		Union[str, Any] 					=					(int(e[0]       ) << 16) + (int(e[1]       ) << 8) + int(e[2]       )
																					if c >= 0Xe_2_8_0_8_0 and c <= 0Xe_2_b_0_7_f:
																										return True
																return False

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







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__="\n"       ):
											snake_case_					:		Optional[Any] 					=					[]
											snake_case_					:		Optional[Any] 					=					[]
											snake_case_					:		Dict 					=					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_					:		Tuple 					=					[]
																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_					:		str 					=					"""""".join(lowercase__       )
											return text










"""simple docstring"""

import random







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					snake_case_					:		Union[str, Any] 					=					num - 1
					snake_case_					:		List[str] 					=					0

					while s % 2 == 0:
										snake_case_					:		str 					=					s // 2
										t += 1

					for _ in range(5			):
										snake_case_					:		List[Any] 					=					random.randrange(2				,    num - 1			)
										snake_case_					:		Dict 					=					pow(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
										if v != 1:
															snake_case_					:		int 					=					0
															while v != (num - 1):
																				if i == t - 1:
																									return False
																				else:
																									snake_case_					:		str 					=					i + 1
																									snake_case_					:		int 					=					(v**2) % num
					return True







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					if num < 2:
										return False

					snake_case_					:		Dict 					=					[
					    2,
					    3,
					    5,
					    7,
					    1_1,
					    1_3,
					    1_7,
					    1_9,
					    2_3,
					    2_9,
					    3_1,
					    3_7,
					    4_1,
					    4_3,
					    4_7,
					    5_3,
					    5_9,
					    6_1,
					    6_7,
					    7_1,
					    7_3,
					    7_9,
					    8_3,
					    8_9,
					    9_7,
					    1_0_1,
					    1_0_3,
					    1_0_7,
					    1_0_9,
					    1_1_3,
					    1_2_7,
					    1_3_1,
					    1_3_7,
					    1_3_9,
					    1_4_9,
					    1_5_1,
					    1_5_7,
					    1_6_3,
					    1_6_7,
					    1_7_3,
					    1_7_9,
					    1_8_1,
					    1_9_1,
					    1_9_3,
					    1_9_7,
					    1_9_9,
					    2_1_1,
					    2_2_3,
					    2_2_7,
					    2_2_9,
					    2_3_3,
					    2_3_9,
					    2_4_1,
					    2_5_1,
					    2_5_7,
					    2_6_3,
					    2_6_9,
					    2_7_1,
					    2_7_7,
					    2_8_1,
					    2_8_3,
					    2_9_3,
					    3_0_7,
					    3_1_1,
					    3_1_3,
					    3_1_7,
					    3_3_1,
					    3_3_7,
					    3_4_7,
					    3_4_9,
					    3_5_3,
					    3_5_9,
					    3_6_7,
					    3_7_3,
					    3_7_9,
					    3_8_3,
					    3_8_9,
					    3_9_7,
					    4_0_1,
					    4_0_9,
					    4_1_9,
					    4_2_1,
					    4_3_1,
					    4_3_3,
					    4_3_9,
					    4_4_3,
					    4_4_9,
					    4_5_7,
					    4_6_1,
					    4_6_3,
					    4_6_7,
					    4_7_9,
					    4_8_7,
					    4_9_1,
					    4_9_9,
					    5_0_3,
					    5_0_9,
					    5_2_1,
					    5_2_3,
					    5_4_1,
					    5_4_7,
					    5_5_7,
					    5_6_3,
					    5_6_9,
					    5_7_1,
					    5_7_7,
					    5_8_7,
					    5_9_3,
					    5_9_9,
					    6_0_1,
					    6_0_7,
					    6_1_3,
					    6_1_7,
					    6_1_9,
					    6_3_1,
					    6_4_1,
					    6_4_3,
					    6_4_7,
					    6_5_3,
					    6_5_9,
					    6_6_1,
					    6_7_3,
					    6_7_7,
					    6_8_3,
					    6_9_1,
					    7_0_1,
					    7_0_9,
					    7_1_9,
					    7_2_7,
					    7_3_3,
					    7_3_9,
					    7_4_3,
					    7_5_1,
					    7_5_7,
					    7_6_1,
					    7_6_9,
					    7_7_3,
					    7_8_7,
					    7_9_7,
					    8_0_9,
					    8_1_1,
					    8_2_1,
					    8_2_3,
					    8_2_7,
					    8_2_9,
					    8_3_9,
					    8_5_3,
					    8_5_7,
					    8_5_9,
					    8_6_3,
					    8_7_7,
					    8_8_1,
					    8_8_3,
					    8_8_7,
					    9_0_7,
					    9_1_1,
					    9_1_9,
					    9_2_9,
					    9_3_7,
					    9_4_1,
					    9_4_7,
					    9_5_3,
					    9_6_7,
					    9_7_1,
					    9_7_7,
					    9_8_3,
					    9_9_1,
					    9_9_7,
					]

					if num in low_primes:
										return True

					for prime in low_primes:
										if (num % prime) == 0:
															return False

					return rabin_miller(SCREAMING_SNAKE_CASE__			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int = 1_0_2_4			):



					"""simple docstring"""





					while True:
										snake_case_					:		Tuple 					=					random.randrange(2 ** (keysize - 1)				,    2 ** (keysize)			)
										if is_prime_low_num(SCREAMING_SNAKE_CASE__			):
															return num


if __name__ == "__main__":
			a_			   =					generate_large_prime()
			print(('''Prime number:''', num))
			print(('''is_prime_low_num:''', is_prime_low_num(num)))




