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


snake_case__				= logging.get_logger(__name__)

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

snake_case__				= {
    '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',
    },
}

snake_case__				= {
    'abeja/gpt-neox-japanese-2.7b': 2048,
}
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    Union[str, Any]:



      '''simple docstring'''

      with open(__UpperCAmelCase ,						'''r''' ,						encoding='''utf-8'''		) as f:
            _lowerCamelCase			    =				json.loads(f.read()		)

      _lowerCamelCase			    =				collections.OrderedDict()
      _lowerCamelCase			    =				collections.OrderedDict()
      _lowerCamelCase			    =				collections.OrderedDict()
      with open(__UpperCAmelCase ,						'''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(__UpperCAmelCase		):
            _lowerCamelCase			    =				b
            _lowerCamelCase			    =				idx
            for wd in b:
                  _lowerCamelCase			    =				idx

      return vocab, raw_vocab, ids_to_tokens, emoji



class  UpperCamelCase				( __lowercase ):

     '''simple docstring'''

     A_										=  VOCAB_FILES_NAMES
     A_										=  PRETRAINED_VOCAB_FILES_MAP
     A_										=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_										=  ['input_ids', 'attention_mask']



     def __init__(					self				,				A_				,				A_				,				A_="<|endoftext|>"				,				A_="<|endoftext|>"				,				A_="<|startoftext|>"				,				A_="<|endoftext|>"				,				A_=False				,				**A_				,				) ->				Dict:






           """simple docstring"""
           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    ,					_lowerCamelCase    ,					_lowerCamelCase    ,					_lowerCamelCase			    =				load_vocab_and_emoji(A_				,				A_						)
           _lowerCamelCase			    =				SubWordJapaneseTokenizer(
               vocab=self.vocab				,				ids_to_tokens=self.ids_to_tokens				,				emoji=self.emoji						)



     @property
     def 		UpperCamelCase_						(					self						) ->				int:






           """simple docstring"""
           # 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						) ->				Union[str, Any]:






           """simple docstring"""
           return dict(self.raw_vocab				,				**self.added_tokens_encoder						)



     def 		UpperCamelCase_						(					self				,				A_						) ->				Tuple:






           """simple docstring"""
           return self.subword_tokenizer.tokenize(A_				,				clean=self.do_clean_text						)



     def 		UpperCamelCase_						(					self				,				A_						) ->				List[str]:






           """simple docstring"""
           return self.vocab.get(A_				,				self.vocab.get(self.unk_token						)						)



     def 		UpperCamelCase_						(					self				,				A_						) ->				Dict:






           """simple docstring"""
           return self.subword_tokenizer.convert_id_to_token(A_						)



     def 		UpperCamelCase_						(					self				,				A_						) ->				Dict:






           """simple docstring"""
           _lowerCamelCase			    =				''''''.join(A_						).strip()
           return out_string



     def 		UpperCamelCase_						(					self				,				A_						) ->				List[int]:






           """simple docstring"""
           _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 		UpperCamelCase_						(					self				,				A_				,				A_ = None						) ->				Tuple[str]:






           """simple docstring"""
           _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  UpperCamelCase				( __lowercase ):

     '''simple docstring'''

     def __init__(					self				,				A_				,				A_				,				A_						) ->				List[Any]:






           """simple docstring"""
           _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						) ->				Optional[int]:






           """simple docstring"""
           return len(self.ids_to_tokens						)



     def 		UpperCamelCase_						(					self				,				A_						) ->				int:






           """simple docstring"""
           _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 		UpperCamelCase_						(					self				,				A_				,				A_=False						) ->				Dict:






           """simple docstring"""
           _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(A_						):
                 _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(A_						):
                 _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    ,					_lowerCamelCase    ,					_lowerCamelCase			    =				sorted(A_				,				key=lambda A_						: 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 		UpperCamelCase_						(					self				,				A_				,				A_="\n"						) ->				Union[str, Any]:






           """simple docstring"""
           _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       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    bool:



      '''simple docstring'''

      _lowerCamelCase			    =				len(__UpperCAmelCase		)
      _lowerCamelCase			    =				[[False] * (required_sum + 1) for _ in range(arr_len + 1		)]

      # for each arr value, a sum of zero(0) can be formed by not taking any element
      # hence True/1
      for i in range(arr_len + 1		):
            _lowerCamelCase			    =				True

      # sum is not zero and set is empty then false
      for i in range(1 ,						required_sum + 1		):
            _lowerCamelCase			    =				False

      for i in range(1 ,						arr_len + 1		):
            for j in range(1 ,						required_sum + 1		):
                  if arr[i - 1] > j:
                        _lowerCamelCase			    =				subset[i - 1][j]
                  if arr[i - 1] <= j:
                        _lowerCamelCase			    =				subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

      return subset[arr_len][required_sum]


if __name__ == "__main__":
     import doctest

     doctest.testmod()