



"""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


snake_case_    					=	logging.get_logger(__name__)

snake_case_    					=	{"""vocab_file""": """spiece.model"""}

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







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""






						def __init__( self			:Union[str, Any]       ,  lowercase_			:List[str]       ,  lowercase_			:str=False       ,  lowercase_			:List[str]=True       ,  lowercase_			:Optional[int]=False       ,  lowercase_			:List[Any]="<s>"       ,  lowercase_			:List[Any]="</s>"       ,  lowercase_			:List[Any]="<unk>"       ,  lowercase_			:Union[str, Any]="<sep>"       ,  lowercase_			:Union[str, Any]="<pad>"       ,  lowercase_			:Any="<cls>"       ,  lowercase_			:Union[str, Any]="<mask>"       ,  lowercase_			:int=["<eop>", "<eod>"]       ,  lowercase_			:Optional[Dict[str, Any]] = None       ,  **lowercase_			:Union[str, Any]       ,  )    ->      None:
												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      UpperCAmelCase__					( self			:Any )    ->      Optional[Any]:
												return len(self.sp_model )






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      str:
												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			:Union[str, Any] )    ->      Tuple:
												UpperCAmelCase					=			self.__dict__.copy()
												UpperCAmelCase					=			None
												return state






						def __setstate__( self			:Union[str, Any]       ,  lowercase_			:Optional[Any] )    ->      Any:
												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      UpperCAmelCase__					( self			:Any       ,  lowercase_			:Tuple )    ->      Optional[Any]:
												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      UpperCAmelCase__					( self			:Union[str, Any]       ,  lowercase_			:str )    ->      List[str]:
												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      UpperCAmelCase__					( self			:Tuple       ,  lowercase_			:Optional[Any] )    ->      Optional[int]:
												return self.sp_model.PieceToId(lowercase_ )






						def      UpperCAmelCase__					( self			:Tuple       ,  lowercase_			:Optional[Any] )    ->      Union[str, Any]:
												return self.sp_model.IdToPiece(lowercase_ )






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






						def      UpperCAmelCase__					( self			:Tuple       ,  lowercase_			:List[int]       ,  lowercase_			:Optional[List[int]] = None )    ->      List[int]:
												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      UpperCAmelCase__					( self			:int       ,  lowercase_			:List[int]       ,  lowercase_			:Optional[List[int]] = None       ,  lowercase_			:bool = False )    ->      List[int]:

												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      UpperCAmelCase__					( self			:Optional[Any]       ,  lowercase_			:List[int]       ,  lowercase_			:Optional[List[int]] = None )    ->      List[int]:
												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      UpperCAmelCase__					( self			:int       ,  lowercase_			:str       ,  lowercase_			:Optional[str] = None )    ->      Tuple[str]:
												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      UpperCAmelCase__					( self			:Optional[Any]       ,  *lowercase_			:Optional[Any]       ,  **lowercase_			:int )    ->      Union[str, Any]:
												UpperCAmelCase					=			super()._decode(*lowercase_       ,  **lowercase_ )
												UpperCAmelCase					=			text.replace(' '       ,  '' ).replace('\u2582'       ,  ' ' ).replace('\u2583'       ,  '\n' )
												return text










"""simple docstring"""


import re

import jax.numpy as jnp
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.random import PRNGKey

from ..utils import logging


snake_case_    					=	logging.get_logger(__name__)

def 			_lowerCAmelCase				(       lowercase_						):
						UpperCAmelCase					=			R'\w+[.]\d+'
						UpperCAmelCase					=			re.findall(lowercase_		,     lowercase_						)
						for pat in pats:
												UpperCAmelCase					=			key.replace(lowercase_		,     '_'.join(pat.split('.'						)						)						)
						return key

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_						):
						UpperCAmelCase					=			pt_tuple_key[:-1] + ('scale',)
						if (
						    any('norm' in str_ for str_ in pt_tuple_key						)
						    and (pt_tuple_key[-1] == "bias")
						    and (pt_tuple_key[:-1] + ("bias",) not in random_flax_state_dict)
						    and (pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict)
						):
												UpperCAmelCase					=			pt_tuple_key[:-1] + ('scale',)
												return renamed_pt_tuple_key, pt_tensor
						elif pt_tuple_key[-1] in ["weight", "gamma"] and pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict:
												UpperCAmelCase					=			pt_tuple_key[:-1] + ('scale',)
												return renamed_pt_tuple_key, pt_tensor

						# embedding
						if pt_tuple_key[-1] == "weight" and pt_tuple_key[:-1] + ("embedding",) in random_flax_state_dict:
												UpperCAmelCase					=			pt_tuple_key[:-1] + ('embedding',)
												return renamed_pt_tuple_key, pt_tensor

						# conv layer
						UpperCAmelCase					=			pt_tuple_key[:-1] + ('kernel',)
						if pt_tuple_key[-1] == "weight" and pt_tensor.ndim == 4:
												UpperCAmelCase					=			pt_tensor.transpose(2		,     3		,     1		,     0						)
												return renamed_pt_tuple_key, pt_tensor

						# linear layer
						UpperCAmelCase					=			pt_tuple_key[:-1] + ('kernel',)
						if pt_tuple_key[-1] == "weight":
												UpperCAmelCase					=			pt_tensor.T
												return renamed_pt_tuple_key, pt_tensor

						# old PyTorch layer norm weight
						UpperCAmelCase					=			pt_tuple_key[:-1] + ('weight',)
						if pt_tuple_key[-1] == "gamma":
												return renamed_pt_tuple_key, pt_tensor

						# old PyTorch layer norm bias
						UpperCAmelCase					=			pt_tuple_key[:-1] + ('bias',)
						if pt_tuple_key[-1] == "beta":
												return renamed_pt_tuple_key, pt_tensor

						return pt_tuple_key, pt_tensor






def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_=42						):
						# Step 1: Convert pytorch tensor to numpy
						UpperCAmelCase					=			{k: v.numpy() for k, v in pt_state_dict.items()}

						# Step 2: Since the model is stateless, get random Flax params
						UpperCAmelCase					=			flax_model.init_weights(PRNGKey(lowercase_						)						)

						UpperCAmelCase					=			flatten_dict(lowercase_						)
						UpperCAmelCase					=			{}

						# Need to change some parameters name to match Flax names
						for pt_key, pt_tensor in pt_state_dict.items():
												UpperCAmelCase					=			rename_key(lowercase_						)
												UpperCAmelCase					=			tuple(renamed_pt_key.split('.'						)						)

												# Correctly rename weight parameters
												UpperCAmelCase				,   UpperCAmelCase					=			rename_key_and_reshape_tensor(lowercase_		,     lowercase_		,     lowercase_						)

												if flax_key in random_flax_state_dict:
																		if flax_tensor.shape != random_flax_state_dict[flax_key].shape:
																								raise ValueError(
																								    F"""PyTorch checkpoint seems to be incorrect. Weight {pt_key} was expected to be of shape """
																								    F"""{random_flax_state_dict[flax_key].shape}, but is {flax_tensor.shape}."""						)

        # also add unexpected weight so that warning is thrown
												UpperCAmelCase					=			jnp.asarray(lowercase_						)

						return unflatten_dict(lowercase_						)





