
"""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


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)

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

SCREAMING_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''',
    },
}

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




def     lowercase__						(					lowerCAmelCase				:					str ,				lowerCAmelCase				:					Tuple ) ->      List[str]:






    """simple docstring"""




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

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

    return vocab, raw_vocab, ids_to_tokens, emoji
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE   :							List[Any]							      =	PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE   :							str							      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE   :							List[Any]							      =	["input_ids", "attention_mask"]




      def __init__(							self   ,       lowercase_   ,       lowercase_   ,       lowercase_="<|endoftext|>"   ,       lowercase_="<|endoftext|>"   ,       lowercase_="<|startoftext|>"   ,       lowercase_="<|endoftext|>"   ,       lowercase_=False   ,       **lowercase_   ,       )						->					int:
          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)`'							)
          UpperCAmelCase									=					do_clean_text
          UpperCAmelCase			,							UpperCAmelCase			,							UpperCAmelCase			,							UpperCAmelCase									=					load_vocab_and_emoji(lowercase_   ,       lowercase_							)
          UpperCAmelCase									=					SubWordJapaneseTokenizer(
              vocab=self.vocab   ,       ids_to_tokens=self.ids_to_tokens   ,       emoji=self.emoji							)




      @property
      def     a_      (							self							)						->					Union[str, Any]:
          # self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
          return len(self.raw_vocab							)




      def     a_      (							self							)						->					str:
          return dict(self.raw_vocab   ,       **self.added_tokens_encoder							)




      def     a_      (							self   ,       lowercase_							)						->					Union[str, Any]:
          return self.subword_tokenizer.tokenize(lowercase_   ,       clean=self.do_clean_text							)




      def     a_      (							self   ,       lowercase_							)						->					int:
          return self.vocab.get(lowercase_   ,       self.vocab.get(self.unk_token							)							)




      def     a_      (							self   ,       lowercase_							)						->					Optional[int]:
          return self.subword_tokenizer.convert_id_to_token(lowercase_							)




      def     a_      (							self   ,       lowercase_							)						->					Optional[Any]:
          UpperCAmelCase									=					''.join(lowercase_							).strip()
          return out_string




      def     a_      (							self   ,       lowercase_							)						->					List[int]:
          UpperCAmelCase									=					[]
          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:
              UpperCAmelCase									=					input_ids[-self.model_max_length :]
          return input_ids




      def     a_      (							self   ,       lowercase_   ,       lowercase_ = None							)						->					Tuple[str]:
          UpperCAmelCase									=					0
          if os.path.isdir(lowercase_							):
              UpperCAmelCase									=					os.path.join(
                  lowercase_   ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)
              UpperCAmelCase									=					os.path.join(
                  lowercase_   ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['emoji_file']							)
          else:
              UpperCAmelCase									=					(
                  (filename_prefix + '-' if filename_prefix else '') + save_directory + VOCAB_FILES_NAMES['vocab_file']
              )
              UpperCAmelCase									=					(
                  (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!'							)
                      UpperCAmelCase									=					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      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):




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




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




      def     a_      (							self   ,       lowercase_							)						->					str:
          UpperCAmelCase									=					self.content_repattera.sub('<URL>'   ,       lowercase_							)
          UpperCAmelCase									=					self.content_repattera.sub('<EMAIL>'   ,       lowercase_							)
          UpperCAmelCase									=					self.content_repattera.sub('<TEL>'   ,       lowercase_							)
          UpperCAmelCase									=					self.content_repattera.sub('<DATE>'   ,       lowercase_							)
          UpperCAmelCase									=					self.content_repattera.sub('<DATE>'   ,       lowercase_							)
          UpperCAmelCase									=					self.content_repattera.sub('<PRICE>'   ,       lowercase_							)
          UpperCAmelCase									=					content.translate(self.content_transa							)
          while "<BLOCK><BLOCK>" in content:
              UpperCAmelCase									=					content.replace('<BLOCK><BLOCK>'   ,       '<BLOCK>'							)
          return content




      def     a_      (							self   ,       lowercase_   ,       lowercase_=False							)						->					Optional[int]:
          UpperCAmelCase									=					text.replace(' '   ,       '<SP>'							)
          UpperCAmelCase									=					text.replace('　'   ,       '<SP>'							)
          UpperCAmelCase									=					text.replace('\r\n'   ,       '<BR>'							)
          UpperCAmelCase									=					text.replace('\n'   ,       '<BR>'							)
          UpperCAmelCase									=					text.replace('\r'   ,       '<BR>'							)
          UpperCAmelCase									=					text.replace('\t'   ,       '<TAB>'							)
          UpperCAmelCase									=					text.replace('—'   ,       'ー'							)
          UpperCAmelCase									=					text.replace('−'   ,       'ー'							)
          for k, v in self.emoji["emoji"].items():
              if k in text:
                  UpperCAmelCase									=					text.replace(lowercase_   ,       lowercase_							)
          if clean:
              UpperCAmelCase									=					self.clean_text(lowercase_							)

          def check_simbol(lowercase_							):
              UpperCAmelCase									=					x.encode()
              if len(lowercase_							) == 1 and len(lowercase_							) == 2:
                  UpperCAmelCase									=					(int(e[0]							) << 8) + int(e[1]							)
                  if (
                      (c >= 0xC2_A1 and c <= 0xC2_BF)
                      or (c >= 0xC7_80 and c <= 0xC7_83)
                      or (c >= 0xCA_B9 and c <= 0xCB_BF)
                      or (c >= 0xCC_80 and c <= 0xCD_A2)
                  ):
                      return True
              return False

          def checkuae(lowercase_							):
              UpperCAmelCase									=					x.encode()
              if len(lowercase_							) == 1 and len(lowercase_							) == 3:
                  UpperCAmelCase									=					(int(e[0]							) << 1_6) + (int(e[1]							) << 8) + int(e[2]							)
                  if c >= 0xE2_80_80 and c <= 0xE2_B0_7F:
                      return True
              return False

          UpperCAmelCase									=					0
          UpperCAmelCase									=					[]
          while pos < len(lowercase_							):
              UpperCAmelCase									=					min(len(lowercase_							)   ,       pos + self.maxlen + 1							) if text[pos] == '<' else pos + 3
              UpperCAmelCase									=					[]  # (token_id, token, pos)
              for e in range(lowercase_   ,       lowercase_   ,       -1							):
                  UpperCAmelCase									=					text[pos:e]
                  if wd in self.vocab:
                      if wd[0] == "<" and len(lowercase_							) > 2:
                          UpperCAmelCase									=					[(self.vocab[wd], wd, e)]
                          break
                      else:
                          candidates.append((self.vocab[wd], wd, e)							)
              if len(lowercase_							) > 0:
                  # the smallest token_id is adopted
                  UpperCAmelCase			,							UpperCAmelCase			,							UpperCAmelCase									=					sorted(lowercase_   ,       key=lambda lowercase_							: x[0]							)[0]
                  result.append(lowercase_							)
                  UpperCAmelCase									=					e
              else:
                  UpperCAmelCase									=					pos + 1
                  UpperCAmelCase									=					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							)
                  UpperCAmelCase									=					end
          return result




      def     a_      (							self   ,       lowercase_   ,       lowercase_="\n"							)						->					List[Any]:
          UpperCAmelCase									=					[]
          UpperCAmelCase									=					[]
          UpperCAmelCase									=					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'							)							)
                  UpperCAmelCase									=					[]
              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'							)							)
          UpperCAmelCase									=					''.join(lowercase_							)
          return text





"""simple docstring"""

from __future__ import annotations

import numpy as np




def     lowercase__						(					lowerCAmelCase				:					list[float] ) ->      Dict:






    """simple docstring"""




    return np.maximum(0 ,				lowerCAmelCase )


if __name__ == "__main__":
   print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]



