


'''simple docstring'''







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


a__    :   Any								=			logging.get_logger(__name__)

a__    :   Tuple								=			{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

a__    :   Any								=			{
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json',
    },
}
class    lowercase_	(       _snake_case  ):


    def __init__(	self    ,   a=None    ,   a=None    ,   a=False    ,   a=True    ,   a=False    ,   a="<s>"    ,   a="</s>"    ,   a="<unk>"    ,   a="<sep>"    ,   a="<pad>"    ,   a="<cls>"    ,   a="<mask>"    ,   a=["<eop>", "<eod>"]    ,   **a    ,   ):
          UpperCamelCase__      =							AddedToken(_a    ,   lstrip=_a    ,   rstrip=_a       ) if isinstance(_a    ,   _a       ) else mask_token

          super().__init__(
              vocab_file=_a    ,   tokenizer_file=_a    ,   do_lower_case=_a    ,   remove_space=_a    ,   keep_accents=_a    ,   bos_token=_a    ,   eos_token=_a    ,   unk_token=_a    ,   sep_token=_a    ,   pad_token=_a    ,   cls_token=_a    ,   mask_token=_a    ,   additional_special_tokens=_a    ,   **_a    ,   )

          UpperCamelCase__      =							3
          UpperCamelCase__      =							do_lower_case
          UpperCamelCase__      =							remove_space
          UpperCamelCase__      =							keep_accents
          UpperCamelCase__      =							vocab_file
          UpperCamelCase__      =							False if not self.vocab_file else True

          try:
                import jieba
          except ModuleNotFoundError as error:
                raise error.__class__(
                    "You need to install jieba to use CpmTokenizer or CpmTokenizerFast. "
                    "See https://pypi.org/project/jieba/ for installation."       )
          UpperCamelCase__      =							jieba
          UpperCamelCase__      =							str.maketrans(" \n"    ,   "\u2582\u2583"       )


    def   __a				(	self    ,   a    ,   a = None       ):
          UpperCamelCase__      =							[self.sep_token_id]
          UpperCamelCase__      =							[self.cls_token_id]
          if token_ids_a is None:
                return token_ids_a + sep + cls
          return token_ids_a + sep + token_ids_a + sep + cls


    def   __a				(	self    ,   a    ,   a = None       ):
          UpperCamelCase__      =							[self.sep_token_id]
          UpperCamelCase__      =							[2]

          if token_ids_a is None:
                return len(token_ids_a + sep       ) * [0] + cls_segment_id
          return len(token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1] + cls_segment_id


    def   __a				(	self    ,   a    ,   a = None       ):
          if not self.can_save_slow_tokenizer:
                raise ValueError(
                    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                    "tokenizer."       )

          if not os.path.isdir(_a       ):
                logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
                return
          UpperCamelCase__      =							os.path.join(
              _a    ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )

          if os.path.abspath(self.vocab_file       ) != os.path.abspath(_a       ):
                copyfile(self.vocab_file    ,   _a       )

          return (out_vocab_file,)


    def   __a				(	self    ,   a    ,   *a    ,   **a       ):
          UpperCamelCase__      =							[
              ' '.join([x.translate(self.translator       ) for x in self.jieba.cut(_a    ,   cut_all=_a       )]       )
              for text in batch_text_or_text_pairs
          ]
          return super()._batch_encode_plus(_a    ,   *_a    ,   **_a       )


    def   __a				(	self    ,   *a    ,   **a       ):
          UpperCamelCase__      =							super()._decode(*_a    ,   **_a       )
          UpperCamelCase__      =							text.replace(" "    ,   ""       ).replace("\u2582"    ,   " "       ).replace("\u2583"    ,   "\n"       )
          return text






'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_A										= {
    'configuration_rwkv': ['RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RwkvConfig', 'RwkvOnnxConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A										= [
     'RWKV_PRETRAINED_MODEL_ARCHIVE_LIST',
     'RwkvForCausalLM',
     'RwkvModel',
     'RwkvPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_rwkv import (
      RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
      RwkvForCausalLM,
      RwkvModel,
      RwkvPreTrainedModel,
  )
else:
 import sys

 _A										= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




