




import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin

class       A   (		_a					,unittest.TestCase   ):
							lowercase_          =    BlenderbotSmallTokenizer
							lowercase_          =    False







							def        __lowerCAmelCase      (  self	:  Dict )      ->							Dict:


														"""simple docstring"""


														super().setUp()

														_a     					=    ['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
														_a     					=    dict(zip(__lowerCAmelCase							,      range(len(__lowerCAmelCase ) ) ) )

														_a     					=    ['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
														_a     					=    {'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

														_a     					=    os.path.join(self.tmpdirname							,      VOCAB_FILES_NAMES['''vocab_file'''] )
														_a     					=    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(__lowerCAmelCase ) + '''\n''' )
														with open(self.merges_file							,      '''w'''							,      encoding='''utf-8''' ) as fp:
																					fp.write('''\n'''.join(__lowerCAmelCase ) )







							def        __lowerCAmelCase      (  self	:  Tuple							,      **lowerCAmelCase_	:  List[Any] )      ->							int:


														"""simple docstring"""


														kwargs.update(self.special_tokens_map )
														return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname							,      **__lowerCAmelCase )







							def        __lowerCAmelCase      (  self	:  Union[str, Any]							,      lowerCAmelCase_	:  Optional[int] )      ->							List[str]:


														"""simple docstring"""


														_a     					=    '''adapt act apte'''
														_a     					=    '''adapt act apte'''
														return input_text, output_text







							def        __lowerCAmelCase      (  self	:  Any )      ->							Optional[Any]:


														"""simple docstring"""


														_a     					=    BlenderbotSmallTokenizer(self.vocab_file							,      self.merges_file							,      **self.special_tokens_map )
														_a     					=    '''adapt act apte'''
														_a     					=    ['''adapt''', '''act''', '''ap@@''', '''te''']
														_a     					=    tokenizer.tokenize(__lowerCAmelCase )
														self.assertListEqual(__lowerCAmelCase							,      __lowerCAmelCase )

														_a     					=    [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

														_a     					=    [0, 1, 2, 3, 4, 5]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase )							,      __lowerCAmelCase )







							def        __lowerCAmelCase      (  self	:  Tuple )      ->							Tuple:


														"""simple docstring"""


														_a     					=    BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M''' )
														assert tok('''sam''' ).input_ids == [13_84]
														_a     					=    '''I am a small frog.'''
														_a     					=    tok([src_text]							,      padding=__lowerCAmelCase							,      truncation=__lowerCAmelCase )['''input_ids''']
														_a     					=    tok.batch_decode(__lowerCAmelCase							,      skip_special_tokens=__lowerCAmelCase							,      clean_up_tokenization_spaces=__lowerCAmelCase )[0]
														assert src_text != decoded  # I wish it did!
														assert decoded == "i am a small frog ."







							def        __lowerCAmelCase      (  self	:  List[Any] )      ->							Union[str, Any]:


														"""simple docstring"""


														_a     					=    BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M''' )
														_a     					=    '''I am a small frog .'''
														_a     					=    '''.'''
														_a     					=    tok(__lowerCAmelCase )['''input_ids''']
														_a     					=    tok(__lowerCAmelCase )['''input_ids''']

														assert encoded[-1] == encoded_dot[0]







'''simple docstring'''


from ..utils import DummyObject, requires_backends

class       A   (		metaclass=_a   ):
							lowercase_          =    ['torch', 'scipy']







							def __init__(  self	:  Tuple							,      *lowerCAmelCase_	:  str							,      **lowerCAmelCase_	:  Any )      ->							Tuple:


														"""simple docstring"""


														requires_backends(self							,      ['''torch''', '''scipy'''] )







							@classmethod
							def        __lowerCAmelCase      (  cls	:  Dict							,      *lowerCAmelCase_	:  Dict							,      **lowerCAmelCase_	:  str )      ->							Tuple:


														"""simple docstring"""


														requires_backends(cls							,      ['''torch''', '''scipy'''] )







							@classmethod
							def        __lowerCAmelCase      (  cls	:  Optional[int]							,      *lowerCAmelCase_	:  str							,      **lowerCAmelCase_	:  List[str] )      ->							str:


														"""simple docstring"""


														requires_backends(cls							,      ['''torch''', '''scipy'''] )

