


'''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


__lowerCamelCase												=						logging.get_logger(__name__)

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

__lowerCamelCase												=						{
    '''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''',
    },
}

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


def        a__     (					UpperCamelCase_						:      str,   UpperCamelCase_						:      Tuple						):
   with open(UpperCamelCase_,   '''r''',   encoding='''utf-8'''						) as f:
      UpperCAmelCase__	:Tuple      =      json.loads(f.read()						)

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

   return vocab, raw_vocab, ids_to_tokens, emoji




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					VOCAB_FILES_NAMES
 UpperCAmelCase				=					PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase				=					["input_ids", "attention_mask"]


 def __init__(      self							:	List[Any]			,       __lowerCamelCase							:	List[Any]			,       __lowerCamelCase							:	Dict			,       __lowerCamelCase							:	List[Any]="<|endoftext|>"			,       __lowerCamelCase							:	Union[str, Any]="<|endoftext|>"			,       __lowerCamelCase							:	Any="<|startoftext|>"			,       __lowerCamelCase							:	List[str]="<|endoftext|>"			,       __lowerCamelCase							:	Optional[int]=False			,       **__lowerCamelCase							:	int			,       ):
    super().__init__(
        unk_token=__lowerCamelCase			,       pad_token=__lowerCamelCase			,       bos_token=__lowerCamelCase			,       eos_token=__lowerCamelCase			,       do_clean_text=__lowerCamelCase			,       **__lowerCamelCase			,       )
    if not os.path.isfile(__lowerCamelCase ):
       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(__lowerCamelCase ):
       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__	:List[str]      =      do_clean_text
    UpperCAmelCase__   ,						UpperCAmelCase__   ,						UpperCAmelCase__   ,						UpperCAmelCase__	:str      =      load_vocab_and_emoji(__lowerCamelCase			,       __lowerCamelCase )
    UpperCAmelCase__	:Tuple      =      SubWordJapaneseTokenizer(
        vocab=self.vocab			,       ids_to_tokens=self.ids_to_tokens			,       emoji=self.emoji )


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


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any]			,       __lowerCamelCase							:	int ):
    return self.subword_tokenizer.tokenize(__lowerCamelCase			,       clean=self.do_clean_text )


 def        __SCREAMING_SNAKE_CASE					(      self							:	Tuple			,       __lowerCamelCase							:	Optional[int] ):
    return self.vocab.get(__lowerCamelCase			,       self.vocab.get(self.unk_token ) )


 def        __SCREAMING_SNAKE_CASE					(      self							:	Any			,       __lowerCamelCase							:	Dict ):
    return self.subword_tokenizer.convert_id_to_token(__lowerCamelCase )


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int]			,       __lowerCamelCase							:	int ):
    UpperCAmelCase__	:Dict      =      ''''''.join(__lowerCamelCase ).strip()
    return out_string


 def        __SCREAMING_SNAKE_CASE					(      self							:	Tuple			,       __lowerCamelCase							:	"Conversation" ):
    UpperCAmelCase__	:Dict      =      []
    for is_user, text in conversation.iter_texts():
       input_ids.extend(self.encode(__lowerCamelCase			,       add_special_tokens=__lowerCamelCase ) + [self.eos_token_id] )

    if len(__lowerCamelCase ) > self.model_max_length:
       UpperCAmelCase__	:Any      =      input_ids[-self.model_max_length :]
    return input_ids





 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any]			,       __lowerCamelCase							:	str			,       __lowerCamelCase							:	Optional[str] = None ):
    UpperCAmelCase__	:int      =      0
    if os.path.isdir(__lowerCamelCase ):
       UpperCAmelCase__	:Optional[int]      =      os.path.join(
           __lowerCamelCase			,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
       UpperCAmelCase__	:Dict      =      os.path.join(
           __lowerCamelCase			,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file'''] )
    else:
       UpperCAmelCase__	:str      =      (
           (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
       )
       UpperCAmelCase__	:List[str]      =      (
           (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''emoji_file''']
       )
    with open(__lowerCamelCase			,       '''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__	:Optional[Any]      =      token_index
          writer.write(''','''.join(__lowerCamelCase ) + '''\n''' )
          index += 1
    with open(__lowerCamelCase			,       '''w'''			,       encoding='''utf-8''' ) as writer:
       json.dump(self.emoji			,       __lowerCamelCase )
    return vocab_file, emoji_file




class 				UpperCAmelCase			(			_snake_case						):


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


 def __len__(      self							:	List[Any] ):
    return len(self.ids_to_tokens )


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


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

    def check_simbol(__lowerCamelCase							:	Optional[int] ):
       UpperCAmelCase__	:Tuple      =      x.encode()
       if len(__lowerCamelCase ) == 1 and len(__lowerCamelCase ) == 2:
          UpperCAmelCase__	:Any      =      (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(__lowerCamelCase							:	Any ):
       UpperCAmelCase__	:str      =      x.encode()
       if len(__lowerCamelCase ) == 1 and len(__lowerCamelCase ) == 3:
          UpperCAmelCase__	:Union[str, Any]      =      (int(e[0] ) << 1_6) + (int(e[1] ) << 8) + int(e[2] )
          if c >= 0XE28_080 and c <= 0XE2B_07F:
             return True
       return False

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





 def        __SCREAMING_SNAKE_CASE					(      self							:	Tuple			,       __lowerCamelCase							:	List[Any]			,       __lowerCamelCase							:	Optional[Any]="\n" ):
    UpperCAmelCase__	:Optional[int]      =      []
    UpperCAmelCase__	:Optional[Any]      =      []
    UpperCAmelCase__	:List[Any]      =      self.ids_to_tokens[index][0]
    if word[:6] == "<|byte" and word[-2:] == "|>":
       byte_tokens.append(int(word[6:-2] ) )
    else:
       if len(__lowerCamelCase ) > 0:
          words.append(bytearray(__lowerCamelCase ).decode('''utf-8'''			,       errors='''replace''' ) )
          UpperCAmelCase__	: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(__lowerCamelCase )
       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(__lowerCamelCase )
    if len(__lowerCamelCase ) > 0:
       words.append(bytearray(__lowerCamelCase ).decode('''utf-8'''			,       errors='''replace''' ) )
    UpperCAmelCase__	:List[Any]      =      ''''''.join(__lowerCamelCase )
    return text







'''simple docstring'''





import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict


@pytest.mark.parametrize(
    '''split_dict''',   [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''',   num_bytes=1_337,   num_examples=42,   dataset_name='''my_dataset'''						)}						),
        SplitDict({'''train''': SplitInfo(name='''train''',   num_bytes=1_337,   num_examples=42						)}						),
        SplitDict({'''train''': SplitInfo()}						),
    ],   )
def        a__     (					UpperCamelCase_						:      SplitDict						):
   UpperCAmelCase__	:List[Any]      =      split_dict._to_yaml_list()
   assert len(UpperCamelCase_						) == len(UpperCamelCase_						)
   UpperCAmelCase__	:Tuple      =      SplitDict._from_yaml_list(UpperCamelCase_						)
   for split_name, split_info in split_dict.items():
      # dataset_name field is deprecated, and is therefore not part of the YAML dump
      UpperCAmelCase__	:Union[str, Any]      =      None
      # the split name of split_dict takes over the name of the split info object
      UpperCAmelCase__	:Union[str, Any]      =      split_name
   assert split_dict == reloaded


@pytest.mark.parametrize(
    '''split_info''',   [SplitInfo(), SplitInfo(dataset_name=UpperCamelCase_						), SplitInfo(dataset_name='''my_dataset'''						)]						)
def        a__     (					UpperCamelCase_						:      List[Any]						):
   # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
   # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
   UpperCAmelCase__	:List[Any]      =      asdict(SplitDict({'''train''': split_info}						)						)
   assert "dataset_name" in split_dict_asdict["train"]
   assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name



