

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     :					Optional[int]     = logging.get_logger(__name__)

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

__A     :					Optional[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',
    },
}

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




def     __UpperCamelCase			(	_A :				str	,   _A :				int						)							->int:



							"""simple docstring"""
							with open(lowercase__	,   """r"""	,   encoding="""utf-8"""						) as f:
														lowerCamelCase_				     =json.loads(f.read()						)

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

							return vocab, raw_vocab, ids_to_tokens, emoji


class        _SCREAMING_SNAKE_CASE	(   _UpperCAmelCase):
						_UpperCamelCase:List[str]     =						VOCAB_FILES_NAMES
						_UpperCamelCase:Optional[Any]     =						PRETRAINED_VOCAB_FILES_MAP
						_UpperCamelCase:Union[str, Any]     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_UpperCamelCase:Union[str, Any]     =						["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			,		)->				Any:
													super().__init__(
													    unk_token=A_			,		pad_token=A_			,		bos_token=A_			,		eos_token=A_			,		do_clean_text=A_			,		**A_			,		)
													if not os.path.isfile(A_				):
																				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(A_				):
																				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)`"""				)
													lowerCamelCase_				     =do_clean_text
													lowerCamelCase_				     =load_vocab_and_emoji(A_			,		A_				)
													lowerCamelCase_				     =SubWordJapaneseTokenizer(
													    vocab=self.vocab			,		ids_to_tokens=self.ids_to_tokens			,		emoji=self.emoji				)







						@property
						def     _snake_case							(       self				)->				List[str]:
													return len(self.raw_vocab				)







						def     _snake_case							(       self				)->				List[str]:
													return dict(self.raw_vocab			,		**self.added_tokens_encoder				)







						def     _snake_case							(       self			,		_SCREAMING_SNAKE_CASE				)->				Tuple:
													return self.subword_tokenizer.tokenize(A_			,		clean=self.do_clean_text				)







						def     _snake_case							(       self			,		_SCREAMING_SNAKE_CASE				)->				Optional[int]:
													return self.vocab.get(A_			,		self.vocab.get(self.unk_token				)				)







						def     _snake_case							(       self			,		_SCREAMING_SNAKE_CASE				)->				Any:
													return self.subword_tokenizer.convert_id_to_token(A_				)







						def     _snake_case							(       self			,		_SCREAMING_SNAKE_CASE				)->				Optional[Any]:
													lowerCamelCase_				     =''''''.join(A_				).strip()
													return out_string







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

													if len(A_				) > self.model_max_length:
																				lowerCamelCase_				     =input_ids[-self.model_max_length :]
													return input_ids







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


class        _SCREAMING_SNAKE_CASE	(   _UpperCAmelCase):







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







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







						def     _snake_case							(       self			,		_SCREAMING_SNAKE_CASE				)->				List[Any]:
													lowerCamelCase_				     =self.content_repattera.sub("""<URL>"""			,		A_				)
													lowerCamelCase_				     =self.content_repattera.sub("""<EMAIL>"""			,		A_				)
													lowerCamelCase_				     =self.content_repattera.sub("""<TEL>"""			,		A_				)
													lowerCamelCase_				     =self.content_repattera.sub("""<DATE>"""			,		A_				)
													lowerCamelCase_				     =self.content_repattera.sub("""<DATE>"""			,		A_				)
													lowerCamelCase_				     =self.content_repattera.sub("""<PRICE>"""			,		A_				)
													lowerCamelCase_				     =content.translate(self.content_transa				)
													while "<BLOCK><BLOCK>" in content:
																				lowerCamelCase_				     =content.replace("""<BLOCK><BLOCK>"""			,		"""<BLOCK>"""				)
													return content







						def     _snake_case							(       self			,		_SCREAMING_SNAKE_CASE			,		_SCREAMING_SNAKE_CASE=False				)->				List[Any]:
													lowerCamelCase_				     =text.replace(""" """			,		"""<SP>"""				)
													lowerCamelCase_				     =text.replace("""　"""			,		"""<SP>"""				)
													lowerCamelCase_				     =text.replace("""\r\n"""			,		"""<BR>"""				)
													lowerCamelCase_				     =text.replace("""\n"""			,		"""<BR>"""				)
													lowerCamelCase_				     =text.replace("""\r"""			,		"""<BR>"""				)
													lowerCamelCase_				     =text.replace("""\t"""			,		"""<TAB>"""				)
													lowerCamelCase_				     =text.replace("""—"""			,		"""ー"""				)
													lowerCamelCase_				     =text.replace("""−"""			,		"""ー"""				)
													for k, v in self.emoji["emoji"].items():
																				if k in text:
																											lowerCamelCase_				     =text.replace(A_			,		A_				)
													if clean:
																				lowerCamelCase_				     =self.clean_text(A_				)

													def check_simbol(_SCREAMING_SNAKE_CASE				):
																				lowerCamelCase_				     =x.encode()
																				if len(A_				) == 1 and len(A_				) == 2:
																											lowerCamelCase_				     =(int(e[0]				) << 8) + int(e[1]				)
																											if (
																											    (c >= 0XC_2A1 and c <= 0XC_2BF)
																											    or (c >= 0XC_780 and c <= 0XC_783)
																											    or (c >= 0XC_AB9 and c <= 0XC_BBF)
																											    or (c >= 0XC_C80 and c <= 0XC_DA2)
																											):
																																		return True
																				return False

													def checkuae(_SCREAMING_SNAKE_CASE				):
																				lowerCamelCase_				     =x.encode()
																				if len(A_				) == 1 and len(A_				) == 3:
																											lowerCamelCase_				     =(int(e[0]				) << 16) + (int(e[1]				) << 8) + int(e[2]				)
																											if c >= 0XE28_080 and c <= 0XE2B_07F:
																																		return True
																				return False

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







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



def 		_lowercase (     lowercase__   ,	lowercase__						):
      return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2







def 		_lowercase (     lowercase__   ,	lowercase__=0						):
      return sorted(lowercase__   ,	key=lambda lowercase__						: x[column]						)







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__=float('''inf'''						)						):

      for i in range(points_counts - 1						):
            for j in range(i + 1   ,	lowercase__						):
                  __lowerCAmelCase					:						List[str]					=					euclidean_distance_sqr(points[i]   ,	points[j]						)
                  if current_dis < min_dis:
                        __lowerCAmelCase					:						Tuple					=					current_dis
      return min_dis







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__=float('''inf'''						)						):

      for i in range(min(6   ,	points_counts - 1						)   ,	lowercase__						):
            for j in range(max(0   ,	i - 6						)   ,	lowercase__						):
                  __lowerCAmelCase					:						Union[str, Any]					=					euclidean_distance_sqr(points[i]   ,	points[j]						)
                  if current_dis < min_dis:
                        __lowerCAmelCase					:						int					=					current_dis
      return min_dis







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__						):

      # base case
      if points_counts <= 3:
            return dis_between_closest_pair(lowercase__   ,	lowercase__						)

      # recursion
      __lowerCAmelCase					:						Optional[Any]					=					points_counts // 2
      __lowerCAmelCase					:						Optional[Any]					=					closest_pair_of_points_sqr(
          lowercase__   ,	points_sorted_on_y[:mid]   ,	lowercase__						)
      __lowerCAmelCase					:						str					=					closest_pair_of_points_sqr(
          lowercase__   ,	points_sorted_on_y[mid:]   ,	points_counts - mid						)
      __lowerCAmelCase					:						Optional[int]					=					min(lowercase__   ,	lowercase__						)
      __lowerCAmelCase					:						Tuple					=					[]
      for point in points_sorted_on_x:
            if abs(point[0] - points_sorted_on_x[mid][0]						) < closest_pair_dis:
                  cross_strip.append(lowercase__						)

      __lowerCAmelCase					:						List[Any]					=					dis_between_closest_in_strip(
          lowercase__   ,	len(lowercase__						)   ,	lowercase__						)
      return min(lowercase__   ,	lowercase__						)







def 		_lowercase (     lowercase__   ,	lowercase__						):
      __lowerCAmelCase					:						Union[str, Any]					=					column_based_sort(lowercase__   ,	column=0						)
      __lowerCAmelCase					:						Any					=					column_based_sort(lowercase__   ,	column=1						)
      return (
          closest_pair_of_points_sqr(
              lowercase__   ,	lowercase__   ,	lowercase__						)
      ) ** 0.5


if __name__ == "__main__":
 _UpperCamelCase 			=		[(2, 3), (12, 30), (40, 50), (5, 1), (12, 10), (3, 4)]
 print("Distance:", closest_pair_of_points(points, len(points)))


