






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

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


if is_sentencepiece_available():
   from .tokenization_fnet import FNetTokenizer
else:
   __A					=	None

__A					=	logging.get_logger(__name__)
__A					=	{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__A					=	{
    "vocab_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/spiece.model",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json",
    },
}

__A					=	{
    "google/fnet-base": 5_12,
    "google/fnet-large": 5_12,
}

__A					=	"▁"



class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							Union[str, Any]				= VOCAB_FILES_NAMES
    lowerCamelCase	:							Union[str, Any]				= PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase	:							Union[str, Any]				= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase	:							Dict				= ["""input_ids""", """token_type_ids"""]
    lowerCamelCase	:							List[str]				= FNetTokenizer



    def __init__(				self      :     Optional[Any] ,     __SCREAMING_SNAKE_CASE      :     Optional[int]=None ,     __SCREAMING_SNAKE_CASE      :     str=None ,     __SCREAMING_SNAKE_CASE      :     Any=False ,     __SCREAMING_SNAKE_CASE      :     Any=True ,     __SCREAMING_SNAKE_CASE      :     int=True ,     __SCREAMING_SNAKE_CASE      :     int="<unk>" ,     __SCREAMING_SNAKE_CASE      :     Tuple="[SEP]" ,     __SCREAMING_SNAKE_CASE      :     Tuple="<pad>" ,     __SCREAMING_SNAKE_CASE      :     Optional[int]="[CLS]" ,     __SCREAMING_SNAKE_CASE      :     Dict="[MASK]" ,     **__SCREAMING_SNAKE_CASE      :     Optional[Any] ,     )      ->							Union[str, Any]:
           __UpperCAmelCase     				=(
               AddedToken(__UpperCAmelCase ,     lstrip=__UpperCAmelCase ,     rstrip=__UpperCAmelCase ,     normalized=__UpperCAmelCase      )
               if isinstance(__UpperCAmelCase ,     __UpperCAmelCase      )
               else mask_token
           )

           super().__init__(
               __UpperCAmelCase ,     tokenizer_file=__UpperCAmelCase ,     do_lower_case=__UpperCAmelCase ,     remove_space=__UpperCAmelCase ,     keep_accents=__UpperCAmelCase ,     unk_token=__UpperCAmelCase ,     sep_token=__UpperCAmelCase ,     pad_token=__UpperCAmelCase ,     cls_token=__UpperCAmelCase ,     mask_token=__UpperCAmelCase ,     **__UpperCAmelCase ,     )

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



    def _a							(				self      :     Tuple ,     __SCREAMING_SNAKE_CASE      :     Tuple ,     __SCREAMING_SNAKE_CASE      :     Tuple = None      )      ->							Union[str, Any]:
           __UpperCAmelCase     				=[self.sep_token_id]
           __UpperCAmelCase     				=[self.cls_token_id]
           if token_ids_a is None:
                  return cls + token_ids_a + sep
           return cls + token_ids_a + sep + token_ids_a + sep



    def _a							(				self      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     Any = None      )      ->							Tuple:
           __UpperCAmelCase     				=[self.sep_token_id]
           __UpperCAmelCase     				=[self.cls_token_id]

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



    def _a							(				self      :     List[str] ,     __SCREAMING_SNAKE_CASE      :     Any ,     __SCREAMING_SNAKE_CASE      :     Optional[Any] = None      )      ->							Dict:

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

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

           return (out_vocab_file,)











"""simple docstring"""





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


__A											=						"""sshleifer/bart-tiny-random"""
__A											=						"""patrickvonplaten/t5-tiny-random"""






@require_torch
class    _lowerCAmelCase  (	unittest.TestCase			):
       """simple docstring"""




       @cached_property
       def 	snake_case		(       self ):



         '''simple docstring'''

         return AutoConfig.from_pretrained(__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__				,							*lowerCAmelCase__     :List[str]											=				create_student_by_copying_alternating_layers(__UpperCAmelCase       ,					tempfile.mkdtemp()       ,					e=1       ,					d=1 )
         self.assertEqual(student.config.num_hidden_layers       ,					1 )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__				,							*lowerCAmelCase__     :Optional[int]											=				create_student_by_copying_alternating_layers(__UpperCAmelCase       ,					tempfile.mkdtemp()       ,					e=1       ,					d=__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__				,							*lowerCAmelCase__     :List[Any]											=				create_student_by_copying_alternating_layers(__UpperCAmelCase       ,					tempfile.mkdtemp()       ,					e=1       ,					d=__UpperCAmelCase )
         self.assertEqual(student.config.encoder_layers       ,					1 )
         self.assertEqual(student.config.decoder_layers       ,					self.teacher_config.encoder_layers )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__				,							*lowerCAmelCase__     :Optional[int]											=				create_student_by_copying_alternating_layers(__UpperCAmelCase       ,					tempfile.mkdtemp()       ,					e=1       ,					d=1 )
         self.assertEqual(student.config.encoder_layers       ,					1 )
         self.assertEqual(student.config.decoder_layers       ,					1 )






       def 	snake_case		(       self ):



         '''simple docstring'''

         with self.assertRaises(__UpperCAmelCase ):
           create_student_by_copying_alternating_layers(__UpperCAmelCase       ,					tempfile.mkdtemp()       ,					e=__UpperCAmelCase       ,					d=__UpperCAmelCase )
