

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

import sentencepiece as spm

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


lowerCAmelCase  : List[str]      =	logging.get_logger(__name__)

lowerCAmelCase  : Any      =	'''▁'''

lowerCAmelCase  : List[str]      =	{'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCAmelCase  : List[Any]      =	{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    }
}

lowerCAmelCase  : Any      =	{
    '''facebook/xglm-564M''': 20_48,
}
class 			_A		(	__magic_name__):
  SCREAMING_SNAKE_CASE     :   Tuple							=	VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE     :   List[Any]							=	PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE     :   int							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE     :   Tuple							=	['''input_ids''', '''attention_mask''']

  def __init__(					self			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE="<s>"			,       _SCREAMING_SNAKE_CASE="</s>"			,       _SCREAMING_SNAKE_CASE="</s>"			,       _SCREAMING_SNAKE_CASE="<s>"			,       _SCREAMING_SNAKE_CASE="<unk>"			,       _SCREAMING_SNAKE_CASE="<pad>"			,       _SCREAMING_SNAKE_CASE = None			,       **_SCREAMING_SNAKE_CASE			,       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	int     							=  {} if sp_model_kwargs is None else sp_model_kwargs

        # Compatibility with the original tokenizer
        SCREAMING_SNAKE_CASE_					:	Any     							=  7
        SCREAMING_SNAKE_CASE_					:	Tuple     							=  [f"<madeupword{i}>" for i in range(self.num_madeup_words       )]

        SCREAMING_SNAKE_CASE_					:	Union[str, Any]     							=  kwargs.get('additional_special_tokens'			,       []       )
        kwargs["additional_special_tokens"] += [
            word for word in madeup_words if word not in kwargs["additional_special_tokens"]
        ]

        super().__init__(
            bos_token=lowercase__			,       eos_token=lowercase__			,       unk_token=lowercase__			,       sep_token=lowercase__			,       cls_token=lowercase__			,       pad_token=lowercase__			,       sp_model_kwargs=self.sp_model_kwargs			,       **lowercase__			,       )

        SCREAMING_SNAKE_CASE_					:	List[Any]     							=  spm.SentencePieceProcessor(**self.sp_model_kwargs       )
        self.sp_model.Load(str(lowercase__       )       )
        SCREAMING_SNAKE_CASE_					:	Optional[int]     							=  vocab_file

        # Original fairseq vocab and spm vocab must be "aligned":
        # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
        # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
        # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
        # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

        # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
        SCREAMING_SNAKE_CASE_					:	List[str]     							=  1

        # Mimic fairseq token-to-id alignment for the first 4 token
        SCREAMING_SNAKE_CASE_					:	Optional[int]     							=  {'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  len(self.sp_model       )
        SCREAMING_SNAKE_CASE_					:	List[str]     							=  {f"<madeupword{i}>": sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words       )}
        self.fairseq_tokens_to_ids.update(lowercase__       )

        SCREAMING_SNAKE_CASE_					:	List[Any]     							=  {v: k for k, v in self.fairseq_tokens_to_ids.items()}

  def __getstate__(					self       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	List[str]     							=  self.__dict__.copy()
        SCREAMING_SNAKE_CASE_					:	Dict     							=  None
        SCREAMING_SNAKE_CASE_					:	str     							=  self.sp_model.serialized_model_proto()
        return state

  def __setstate__(					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Dict     							=  d

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

        SCREAMING_SNAKE_CASE_					:	int     							=  spm.SentencePieceProcessor(**self.sp_model_kwargs       )
        self.sp_model.LoadFromSerializedProto(self.sp_model_proto       )

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE = None       ):





        """simple docstring"""







        if token_ids_a is None:
              return [self.sep_token_id] + token_ids_a
        SCREAMING_SNAKE_CASE_					:	str     							=  [self.sep_token_id]
        return sep + token_ids_a + sep + sep + token_ids_a

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE = None			,       _SCREAMING_SNAKE_CASE = 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 None:
              return [1] + ([0] * len(lowercase__       ))
        return [1] + ([0] * len(lowercase__       )) + [1, 1] + ([0] * len(lowercase__       ))

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE = None       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Tuple     							=  [self.sep_token_id]

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

  @property
  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return len(self.sp_model       ) + self.fairseq_offset + self.num_madeup_words

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	List[str]     							=  {self.convert_ids_to_tokens(lowercase__       ): i for i in range(self.vocab_size       )}
        vocab.update(self.added_tokens_encoder       )
        return vocab

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        return self.sp_model.encode(lowercase__			,       out_type=lowercase__       )

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  self.sp_model.PieceToId(lowercase__       )

        # Need to return unknown token if the SP model returned 0
        return spm_id + self.fairseq_offset if spm_id else self.unk_token_id

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        if index in self.fairseq_ids_to_tokens:
              return self.fairseq_ids_to_tokens[index]
        return self.sp_model.IdToPiece(index - self.fairseq_offset       )

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	List[str]     							=  ''.join(lowercase__       ).replace(lowercase__			,       ' '       ).strip()
        return out_string



  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE			,       _SCREAMING_SNAKE_CASE = None       ):





        """simple docstring"""







        if not os.path.isdir(lowercase__       ):
              logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
              return
        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  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:
                    SCREAMING_SNAKE_CASE_					:	Tuple     							=  self.sp_model.serialized_model_proto()
                    fi.write(lowercase__       )

        return (out_vocab_file,)







import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


_lowercase:	str       			=		'''sshleifer/bart-tiny-random'''
_lowercase:	Union[str, Any]       			=		'''patrickvonplaten/t5-tiny-random'''



@require_torch
class        lowerCamelCase__				(   unittest.TestCase				):





			@cached_property
			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple						):
										return AutoConfig.from_pretrained(lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=1						)
										self.assertEqual(student.config.num_hidden_layers  ,  1						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=lowercase__						)
										self.assertEqual(student.config.encoder_layers  ,  1						)
										self.assertEqual(student.config.decoder_layers  ,  self.teacher_config.encoder_layers						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	str						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=1						)
										self.assertEqual(student.config.encoder_layers  ,  1						)
										self.assertEqual(student.config.decoder_layers  ,  1						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										with self.assertRaises(lowercase__						):
																	create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=lowercase__  ,  d=lowercase__						)






