






"""simple docstring"""


import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin






class __a   (   snake_case_ ,unittest.TestCase				):
  __lowercase    :    int						=					SpeechaTextaTokenizer
  __lowercase    :    List[Any]						=					False



  def 						A_				(self  :		Any   )		->							Optional[int]:
   super().setUp()

   __A	:       str       =	'<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '   )
   __A	:       Tuple       =	['he re</w> 123', 'here a 1456']
   __A	:       List[Any]       =	dict(zip(lowercase_				,			range(len(lowercase_   )   )   )   )

   __A	:       Optional[int]       =	{'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

   __A	:       Any       =	tempfile.mkdtemp()
   __A	:       Union[str, Any]       =	os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES['vocab_file']   )
   __A	:       int       =	os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES['merges_file']   )

   with open(self.vocab_file				,			'w'				,			encoding='utf-8'   ) as fp:
    fp.write(json.dumps(lowercase_   ) + '\n'   )

   with open(self.merges_file				,			'w'   ) as fp:
    fp.write('\n'.join(lowercase_   )   )



  def 						A_				(self  :		Union[str, Any]   )		->							Dict:
   __A	:       str       =	list(self.get_tokenizer().get_vocab().keys()   )

   self.assertEqual(vocab_keys[0]				,			'<s>'   )
   self.assertEqual(vocab_keys[1]				,			'<pad>'   )
   self.assertEqual(vocab_keys[-1]				,			'vocab'   )
   self.assertEqual(len(lowercase_   )				,			14   )



  def 						A_				(self  :		int   )		->							Dict:
   self.assertEqual(self.get_tokenizer().vocab_size				,			14   )



  def 						A_				(self  :		Dict   )		->							List[str]:
   __A	:       Any       =	SpeechaTextaTokenizer.from_pretrained(self.tmpdirname   )

   # make sure @@ is correctly concatenated
   __A	:       Optional[int]       =	[4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
   __A	:       Union[str, Any]       =	tokenizer.decode(lowercase_   )

   self.assertTrue(output_string == 'herecouple words ofthe'   )



  def 						A_				(self  :		Any   )		->							Dict:
   __A	:       Any       =	SpeechaTextaTokenizer.from_pretrained(self.tmpdirname   )

   with tempfile.TemporaryDirectory() as tmp_dirname:
    tokenizer.save_pretrained(lowercase_   )
    os.remove(os.path.join(lowercase_				,			'merges.txt'   )   )

    # load tokenizer without merges file should not throw an error
    __A	:       Tuple       =	SpeechaTextaTokenizer.from_pretrained(lowercase_   )

   with tempfile.TemporaryDirectory() as tmp_dirname:
    # save tokenizer and load again
    tokenizer.save_pretrained(lowercase_   )
    __A	:       Tuple       =	SpeechaTextaTokenizer.from_pretrained(lowercase_   )

   self.assertIsNotNone(lowercase_   )



  def 						A_				(self  :		Any   )		->							Optional[int]:
   if not self.test_slow_tokenizer:
    return

   __A	:       Optional[int]       =	inspect.signature(self.tokenizer_class.__init__   )
   __A	:       Union[str, Any]       =	self.get_tokenizer()

   for parameter_name, parameter in signature.parameters.items():
    if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
     self.assertIn(lowercase_				,			tokenizer.init_kwargs   )













"""simple docstring"""


from __future__ import annotations

from typing import Any






class __a   :



  def __init__(self  :		Optional[Any]				,			lowercase_  :		Any				,			lowercase_  :		Any   )		->							None:  # noqa: A002
   __A	:       Optional[Any]       =	item
   __A	:       Union[str, Any]       =	next






class __a   :



  def __init__(self  :		Tuple   )		->							None:
   __A	:       Node | None       =	None
   __A	:       Dict       =	0



  def 						A_				(self  :		str				,			lowercase_  :		Any   )		->							None:
   __A	:       Dict       =	Node(lowercase_				,			self.head   )
   self.size += 1



  def 						A_				(self  :		Optional[int]   )		->							Any:
   # Switched 'self.is_empty()' to 'self.head is None'
   # because mypy was considering the possibility that 'self.head'
   # can be None in below else part and giving error
   if self.head is None:
    return None
   else:
    __A	:       Dict       =	self.head.item
    __A	:       List[str]       =	self.head.next
    self.size -= 1
    return item



  def 						A_				(self  :		List[str]   )		->							bool:
   return self.head is None



  def __str__(self  :		Any   )		->							str:
   if self.is_empty():
    return ""
   else:
    __A	:       List[str]       =	self.head
    __A	:       Union[str, Any]       =	''
    __A	:       list[str]       =	[]
    while iterate:
     item_list.append(str(iterate.item   )   )
     __A	:       List[str]       =	iterate.next

    __A	:       str       =	' --> '.join(lowercase_   )

    return item_str



  def __len__(self  :		Union[str, Any]   )		->							int:
   return self.size





