


"""simple docstring"""





import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
 import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


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

snake_case__						:   Optional[Any]			 = {'''vocab_file''': '''vocab.txt'''}

snake_case__						:   Any			 = {
    '''vocab_file''': {
        '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt''',
    },
}

snake_case__						:   Tuple			 = {
    '''openbmb/cpm-ant-10b''': 1_024,
}


def    _snake_case  (  _snake_case :	int	):
      lowerCAmelCase    :		List[str]				=      collections.OrderedDict()
      with open(_snake_case       ,      '''r'''       ,      encoding='''utf-8'''	) as reader:
            lowerCAmelCase    :		List[Any]				=      reader.readlines()
      for index, token in enumerate(_snake_case	):
            lowerCAmelCase    :		List[Any]				=      token.rstrip('''\n'''	)
            lowerCAmelCase    :		Tuple				=      index
      return vocab



class 						snake_case_(				a__	):






     def __init__(		self     :    List[Any]    , UpperCamelCase_     :    Tuple    , UpperCamelCase_     :    List[str]="<unk>"    , UpperCamelCase_     :    Any=2_0_0 ):
           lowerCAmelCase    :		Any				=      vocab
           lowerCAmelCase    :		List[Any]				=      unk_token
           lowerCAmelCase    :		Dict				=      max_input_chars_per_word






     def    lowerCamelCase__   (		self     :    Union[str, Any]    , UpperCamelCase_     :    Tuple ):
           lowerCAmelCase    :		Any				=      list(UpperCamelCase_ )
           if len(UpperCamelCase_ ) > self.max_input_chars_per_word:
                 return [self.unk_token]

           lowerCAmelCase    :		Tuple				=      0
           lowerCAmelCase    :		Optional[int]				=      []
           while start < len(UpperCamelCase_ ):
                 lowerCAmelCase    :		List[str]				=      len(UpperCamelCase_ )
                 lowerCAmelCase    :		Dict				=      None
                 while start < end:
                       lowerCAmelCase    :		Union[str, Any]				=      ''''''.join(chars[start:end] )
                       if substr in self.vocab:
                             lowerCAmelCase    :		Any				=      substr
                             break
                       end -= 1
                 if cur_substr is None:
                       sub_tokens.append(self.unk_token )
                       start += 1
                 else:
                       sub_tokens.append(UpperCamelCase_ )
                       lowerCAmelCase    :		List[Any]				=      end

           return sub_tokens



class 						snake_case_(				a__	):
     __UpperCamelCase     =    VOCAB_FILES_NAMES
     __UpperCamelCase     =    PRETRAINED_VOCAB_FILES_MAP
     __UpperCamelCase     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __UpperCamelCase     =    ['''input_ids''', '''attention_mask''']
     __UpperCamelCase     =    False






     def __init__(		self     :    int    , UpperCamelCase_     :    List[Any]    , UpperCamelCase_     :    Union[str, Any]="<d>"    , UpperCamelCase_     :    int="</d>"    , UpperCamelCase_     :    str="<s>"    , UpperCamelCase_     :    str="</s>"    , UpperCamelCase_     :    Optional[int]="<pad>"    , UpperCamelCase_     :    Optional[int]="<unk>"    , UpperCamelCase_     :    Any="</n>"    , UpperCamelCase_     :    List[Any]="</_>"    , UpperCamelCase_     :    int="left"    , **UpperCamelCase_     :    List[str]    , ):
           requires_backends(self    , ['''jieba'''] )
           super().__init__(
               bod_token=UpperCamelCase_    , eod_token=UpperCamelCase_    , bos_token=UpperCamelCase_    , eos_token=UpperCamelCase_    , pad_token=UpperCamelCase_    , unk_token=UpperCamelCase_    , line_token=UpperCamelCase_    , space_token=UpperCamelCase_    , padding_side=UpperCamelCase_    , **UpperCamelCase_    , )
           lowerCAmelCase    :		Any				=      bod_token
           lowerCAmelCase    :		Union[str, Any]				=      eod_token
           lowerCAmelCase    :		Optional[Any]				=      load_vocab(UpperCamelCase_ )
           lowerCAmelCase    :		Union[str, Any]				=      self.encoder[space_token]
           lowerCAmelCase    :		Union[str, Any]				=      self.encoder[line_token]

           del self.encoder[space_token]
           del self.encoder[line_token]

           lowerCAmelCase    :		Any				=      collections.OrderedDict(sorted(self.encoder.items()    , key=lambda UpperCamelCase_ : x[1] ) )
           lowerCAmelCase    :		Tuple				=      {v: k for k, v in self.encoder.items()}

           lowerCAmelCase    :		Any				=      WordpieceTokenizer(vocab=self.encoder    , unk_token=self.unk_token )






     @property
     def    lowerCamelCase__   (		self     :    Optional[int] ):
           return self.encoder[self.bod_token]






     @property
     def    lowerCamelCase__   (		self     :    List[str] ):
           return self.encoder[self.eod_token]






     @property
     def    lowerCamelCase__   (		self     :    Any ):
           return self.encoder["\n"]






     @property
     def    lowerCamelCase__   (		self     :    List[Any] ):
           return len(self.encoder )






     def    lowerCamelCase__   (		self     :    str ):
           return dict(self.encoder    , **self.added_tokens_encoder )






     def    lowerCamelCase__   (		self     :    Dict    , UpperCamelCase_     :    List[Any] ):
           lowerCAmelCase    :		Dict				=      []
           for x in jieba.cut(UpperCamelCase_    , cut_all=UpperCamelCase_ ):
                 output_tokens.extend(self.wordpiece_tokenizer.tokenize(UpperCamelCase_ ) )
           return output_tokens






     def    lowerCamelCase__   (		self     :    Any    , UpperCamelCase_     :    Dict    , **UpperCamelCase_     :    Union[str, Any] ):
           lowerCAmelCase    :		Tuple				=      [i for i in token_ids if i >= 0]
           lowerCAmelCase    :		Dict				=      [
               x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
           ]
           return super()._decode(UpperCamelCase_    , **UpperCamelCase_ )






     def    lowerCamelCase__   (		self     :    int    , UpperCamelCase_     :    str ):
           return token in self.encoder






     def    lowerCamelCase__   (		self     :    Optional[int]    , UpperCamelCase_     :    List[str] ):
           return "".join(UpperCamelCase_ )






     def    lowerCamelCase__   (		self     :    List[str]    , UpperCamelCase_     :    int ):
           return self.encoder.get(UpperCamelCase_    , self.encoder.get(self.unk_token ) )






     def    lowerCamelCase__   (		self     :    str    , UpperCamelCase_     :    Dict ):
           return self.decoder.get(UpperCamelCase_    , self.unk_token )






     def    lowerCamelCase__   (		self     :    Optional[int]    , UpperCamelCase_     :    str    , UpperCamelCase_     :    Optional[str] = None ):
           if os.path.isdir(UpperCamelCase_ ):
                 lowerCAmelCase    :		Optional[int]				=      os.path.join(
                     UpperCamelCase_    , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
           else:
                 lowerCAmelCase    :		int				=      (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
           lowerCAmelCase    :		Any				=      0
           if " " in self.encoder:
                 lowerCAmelCase    :		int				=      self.encoder[''' ''']
                 del self.encoder[" "]
           if "\n" in self.encoder:
                 lowerCAmelCase    :		Optional[Any]				=      self.encoder['''\n''']
                 del self.encoder["\n"]
           lowerCAmelCase    :		List[Any]				=      collections.OrderedDict(sorted(self.encoder.items()    , key=lambda UpperCamelCase_ : x[1] ) )
           with open(UpperCamelCase_    , '''w'''    , encoding='''utf-8''' ) as writer:
                 for token, token_index in self.encoder.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    :		str				=      token_index
                       writer.write(token + '''\n''' )
                       index += 1
           return (vocab_file,)






     def    lowerCamelCase__   (		self     :    str    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    List[int] = None ):
           if token_ids_a is None:
                 return [self.bos_token_id] + token_ids_a
           return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a






     def    lowerCamelCase__   (		self     :    List[str]    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    Optional[List[int]] = None    , UpperCamelCase_     :    bool = False ):

           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=UpperCamelCase_    , token_ids_a=UpperCamelCase_    , already_has_special_tokens=UpperCamelCase_ )

           if token_ids_a is not None:
                 return [1] + ([0] * len(UpperCamelCase_ )) + [1] + ([0] * len(UpperCamelCase_ ))
           return [1] + ([0] * len(UpperCamelCase_ ))






import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


UpperCAmelCase_      : Optional[Any]  					=       logging.get_logger(__name__)

UpperCAmelCase_      : str  					=       'T5Config'







def        SCREAMING_SNAKE_CASE_						(			__A :			jnp.array  ,    __A :			int  ,    __A :			int				)	->		jnp.ndarray:

       """simple docstring"""

       a_					:		Dict							=  jnp.zeros_like(__A				)
       a_					:		Dict							=  shifted_input_ids.at[:, 1:].set(input_ids[:, :-1]				)
       a_					:		str							=  shifted_input_ids.at[:, 0].set(__A				)

       a_					:		int							=  jnp.where(shifted_input_ids == -1_00  ,    __A  ,    __A				)
       return shifted_input_ids
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[Any]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     str        =						'''mt5'''
      snake_case__				:     List[str]        =						MTaConfig
class  SCREAMING_SNAKE_CASE__  (				lowercase__			):
      snake_case__				:     Any        =						'''mt5'''
      snake_case__				:     Union[str, Any]        =						MTaConfig


