




'''simple docstring'''







import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


A									=logging.get_logger(__name__)

A									={'vocab_file': 'spiece.model'}

A									={
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    }
}


class     _a						(			__a				):
       def __init__(			self		:			List[str]     ,       lowercase		:			Union[str, Any]     ,       lowercase		:			Any=False     ,       lowercase		:			List[str]=True     ,       lowercase		:			Union[str, Any]=False     ,       lowercase		:			Tuple="<s>"     ,       lowercase		:			Dict="</s>"     ,       lowercase		:			List[str]="<unk>"     ,       lowercase		:			Optional[int]="<sep>"     ,       lowercase		:			Optional[int]="<pad>"     ,       lowercase		:			str="<cls>"     ,       lowercase		:			Any="<mask>"     ,       lowercase		:			int=["<eop>", "<eod>"]     ,       lowercase		:			Optional[Dict[str, Any]] = None     ,       **lowercase		:			List[Any]     ,       ):



           '''simple docstring'''

           UpperCAmelCase     =	AddedToken(lowercase     ,       lstrip=lowercase     ,       rstrip=lowercase       ) if isinstance(lowercase     ,       lowercase       ) else mask_token

           UpperCAmelCase     =	{} if sp_model_kwargs is None else sp_model_kwargs

           super().__init__(
               do_lower_case=lowercase     ,       remove_space=lowercase     ,       keep_accents=lowercase     ,       bos_token=lowercase     ,       eos_token=lowercase     ,       unk_token=lowercase     ,       sep_token=lowercase     ,       pad_token=lowercase     ,       cls_token=lowercase     ,       mask_token=lowercase     ,       additional_special_tokens=lowercase     ,       sp_model_kwargs=self.sp_model_kwargs     ,       **lowercase     ,       )

           UpperCAmelCase     =	3

           UpperCAmelCase     =	do_lower_case
           UpperCAmelCase     =	remove_space
           UpperCAmelCase     =	keep_accents
           UpperCAmelCase     =	vocab_file

           UpperCAmelCase     =	spm.SentencePieceProcessor(**self.sp_model_kwargs       )
           self.sp_model.Load(lowercase       )

           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'''       )
       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def 					A   (			self		:			Tuple       ):



           '''simple docstring'''

           return len(self.sp_model       )
       def 					A   (			self		:			Any       ):



           '''simple docstring'''

           UpperCAmelCase     =	{self.convert_ids_to_tokens(lowercase       ): i for i in range(self.vocab_size       )}
           vocab.update(self.added_tokens_encoder       )
           return vocab
       def __getstate__(			self		:			Optional[Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.__dict__.copy()
           UpperCAmelCase     =	None
           return state
       def __setstate__(			self		:			str     ,       lowercase		:			Union[str, Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	d

           # for backward compatibility
           if not hasattr(self     ,       '''sp_model_kwargs'''       ):
               UpperCAmelCase     =	{}

           UpperCAmelCase     =	spm.SentencePieceProcessor(**self.sp_model_kwargs       )
           self.sp_model.Load(self.vocab_file       )
       def 					A   (			self		:			Any     ,       lowercase		:			int       ):



           '''simple docstring'''

           if self.remove_space:
               UpperCAmelCase     =	''' '''.join(inputs.strip().split()       )
           else:
               UpperCAmelCase     =	inputs
           UpperCAmelCase     =	outputs.replace('''``'''     ,       '''"'''       ).replace('''\'\''''     ,       '''"'''       )

           if not self.keep_accents:
               UpperCAmelCase     =	unicodedata.normalize('''NFKD'''     ,       lowercase       )
               UpperCAmelCase     =	''''''.join([c for c in outputs if not unicodedata.combining(lowercase       )]       )
           if self.do_lower_case:
               UpperCAmelCase     =	outputs.lower()

           return outputs
       def 					A   (			self		:			int     ,       lowercase		:			str       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.preprocess_text(lowercase       )
           UpperCAmelCase     =	self.sp_model.encode(lowercase     ,       out_type=lowercase       )
           UpperCAmelCase     =	[]
           for piece in pieces:
               if len(lowercase       ) > 1 and piece[-1] == str(''','''       ) and piece[-2].isdigit():
                   UpperCAmelCase     =	self.sp_model.EncodeAsPieces(piece[:-1].replace(lowercase     ,       ''''''       )       )
                   if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                       if len(cur_pieces[0]       ) == 1:
                           UpperCAmelCase     =	cur_pieces[1:]
                       else:
                           UpperCAmelCase     =	cur_pieces[0][1:]
                   cur_pieces.append(piece[-1]       )
                   new_pieces.extend(lowercase       )
               else:
                   new_pieces.append(lowercase       )

           return new_pieces
       def 					A   (			self		:			Any     ,       lowercase		:			Any       ):



           '''simple docstring'''

           return self.sp_model.PieceToId(lowercase       )
       def 					A   (			self		:			Any     ,       lowercase		:			Union[str, Any]       ):



           '''simple docstring'''

           return self.sp_model.IdToPiece(lowercase       )
       def 					A   (			self		:			Any     ,       lowercase		:			int       ):



           '''simple docstring'''

           UpperCAmelCase     =	''''''.join(lowercase       ).replace(lowercase     ,       ''' '''       ).strip()
           return out_string
       def 					A   (			self		:			List[Any]     ,       lowercase		:			List[int]     ,       lowercase		:			Optional[List[int]] = None       ):



           '''simple docstring'''

           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		:			str     ,       lowercase		:			List[int]     ,       lowercase		:			Optional[List[int]] = None     ,       lowercase		:			bool = False       ):



           '''simple docstring'''

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

           if token_ids_a is not None:
               return ([0] * len(lowercase       )) + [1] + ([0] * len(lowercase       )) + [1, 1]
           return ([0] * len(lowercase       )) + [1, 1]
       def 					A   (			self		:			Optional[Any]     ,       lowercase		:			List[int]     ,       lowercase		:			Optional[List[int]] = None       ):



           '''simple docstring'''

           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		:			Any     ,       lowercase		:			str     ,       lowercase		:			Optional[str] = None       ):



           '''simple docstring'''

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

           if os.path.abspath(self.vocab_file       ) != os.path.abspath(lowercase       ) and os.path.isfile(self.vocab_file       ):
               copyfile(self.vocab_file     ,       lowercase       )
           elif not os.path.isfile(self.vocab_file       ):
               with open(lowercase     ,       '''wb'''       ) as fi:
                   UpperCAmelCase     =	self.sp_model.serialized_model_proto()
                   fi.write(lowercase       )

           return (out_vocab_file,)







       def 					A   (			self		:			Union[str, Any]     ,       *lowercase		:			Any     ,       **lowercase		:			List[Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	super()._decode(*lowercase     ,       **lowercase       )
           UpperCAmelCase     =	text.replace(''' '''     ,       ''''''       ).replace('''\u2582'''     ,       ''' '''       ).replace('''\u2583'''     ,       '''\n'''       )
           return text










'''simple docstring'''







import math
from typing import Optional

import numpy as np

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A									=logging.get_logger(__name__)

A									={
    'facebook/encodec_24khz': 'https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json',
    'facebook/encodec_48khz': 'https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json',
}


class     _a						(			__a				):
       __a       :  Union[str, Any]            =      """encodec"""
       def __init__(			self		:			Optional[int]     ,       lowercase		:			Union[str, Any]=[1.5, 3.0, 6.0, 12.0, 24.0]     ,       lowercase		:			str=24_000     ,       lowercase		:			int=1     ,       lowercase		:			int=False     ,       lowercase		:			List[str]=None     ,       lowercase		:			Tuple=None     ,       lowercase		:			int=128     ,       lowercase		:			List[Any]=32     ,       lowercase		:			Optional[int]=1     ,       lowercase		:			Optional[int]=[8, 5, 4, 2]     ,       lowercase		:			Union[str, Any]="weight_norm"     ,       lowercase		:			Optional[int]=7     ,       lowercase		:			Tuple=7     ,       lowercase		:			Tuple=3     ,       lowercase		:			Union[str, Any]=2     ,       lowercase		:			Optional[Any]=True     ,       lowercase		:			Tuple="reflect"     ,       lowercase		:			Any=2     ,       lowercase		:			List[str]=2     ,       lowercase		:			str=1.0     ,       lowercase		:			List[str]=1_024     ,       lowercase		:			Optional[Any]=None     ,       lowercase		:			Any=True     ,       **lowercase		:			Optional[Any]     ,       ):



           '''simple docstring'''

           UpperCAmelCase     =	target_bandwidths
           UpperCAmelCase     =	sampling_rate
           UpperCAmelCase     =	audio_channels
           UpperCAmelCase     =	normalize
           UpperCAmelCase     =	chunk_length_s
           UpperCAmelCase     =	overlap
           UpperCAmelCase     =	hidden_size
           UpperCAmelCase     =	num_filters
           UpperCAmelCase     =	num_residual_layers
           UpperCAmelCase     =	upsampling_ratios
           UpperCAmelCase     =	norm_type
           UpperCAmelCase     =	kernel_size
           UpperCAmelCase     =	last_kernel_size
           UpperCAmelCase     =	residual_kernel_size
           UpperCAmelCase     =	dilation_growth_rate
           UpperCAmelCase     =	use_causal_conv
           UpperCAmelCase     =	pad_mode
           UpperCAmelCase     =	compress
           UpperCAmelCase     =	num_lstm_layers
           UpperCAmelCase     =	trim_right_ratio
           UpperCAmelCase     =	codebook_size
           UpperCAmelCase     =	codebook_dim if codebook_dim is not None else hidden_size
           UpperCAmelCase     =	use_conv_shortcut

           if self.norm_type not in ["weight_norm", "time_group_norm"]:
               raise ValueError(
                   f"self.norm_type must be one of `\"weight_norm\"`, `\"time_group_norm\"`), got {self.norm_type}"       )

           super().__init__(**lowercase       )
       @property
       def 					A   (			self		:			List[str]       ):



           '''simple docstring'''

           if self.chunk_length_s is None:
               return None
           else:
               return int(self.chunk_length_s * self.sampling_rate       )
       @property
       def 					A   (			self		:			Optional[Any]       ):



           '''simple docstring'''

           if self.chunk_length_s is None or self.overlap is None:
               return None
           else:
               return max(1     ,       int((1.0 - self.overlap) * self.chunk_length       )       )
       @property
       def 					A   (			self		:			Union[str, Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	np.prod(self.upsampling_ratios       )
           return math.ceil(self.sampling_rate / hop_length       )







       @property
       def 					A   (			self		:			Optional[int]       ):



           '''simple docstring'''

           return int(1_000 * self.target_bandwidths[-1] // (self.frame_rate * 10)       )




