






import json
import os
import unittest

from transformers import BartTokenizer, BartTokenizerFast, BatchEncoding
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors

@require_tokenizers
class        snake_case_				(							lowercase_   ,      unittest.TestCase   ):







   """simple docstring"""



   __lowerCAmelCase  =    BartTokenizer
   __lowerCAmelCase  =    BartTokenizerFast
   __lowerCAmelCase  =    True
   __lowerCAmelCase  =    filter_roberta_detectors

   def       SCREAMING_SNAKE_CASE__					(     self:						str						)	->		List[Any]:


       """simple docstring"""



       super().setUp()
       _lowercase     			=						[
           'l',
           'o',
           'w',
           'e',
           'r',
           's',
           't',
           'i',
           'd',
           'n',
           '\u0120',
           '\u0120l',
           '\u0120n',
           '\u0120lo',
           '\u0120low',
           'er',
           '\u0120lowest',
           '\u0120newer',
           '\u0120wider',
           '<unk>',
       ]
       _lowercase     			=						dict(zip(snake_case__ ,							range(len(snake_case__						)						)						)						)
       _lowercase     			=						['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
       _lowercase     			=						{'unk_token': '<unk>'}

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

   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[Any] ,							**snake_case__:						Dict						)	->		Optional[Any]:


       """simple docstring"""



       kwargs.update(self.special_tokens_map						)
       return self.tokenizer_class.from_pretrained(self.tmpdirname ,							**snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Tuple ,							**snake_case__:						Dict						)	->		Any:


       """simple docstring"""



       kwargs.update(self.special_tokens_map						)
       return self.rust_tokenizer_class.from_pretrained(self.tmpdirname ,							**snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[Any] ,							snake_case__:						Tuple						)	->		str:


       """simple docstring"""



       return "lower newer", "lower newer"

   @cached_property
   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[Any]						)	->		Union[str, Any]:


       """simple docstring"""



       return BartTokenizer.from_pretrained('facebook/bart-large'						)

   @cached_property
   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[int]						)	->		Dict:


       """simple docstring"""



       return BartTokenizerFast.from_pretrained('facebook/bart-large'						)

   @require_torch
   def       SCREAMING_SNAKE_CASE__					(     self:						List[Any]						)	->		Tuple:


       """simple docstring"""



       _lowercase     			=						['A long paragraph for summarization.', 'Another paragraph for summarization.']
       _lowercase     			=						[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           _lowercase     			=						tokenizer(snake_case__ ,							max_length=len(snake_case__						) ,							padding=snake_case__ ,							return_tensors='pt'						)
           self.assertIsInstance(snake_case__ ,							snake_case__						)

           self.assertEqual((2, 9) ,							batch.input_ids.shape						)
           self.assertEqual((2, 9) ,							batch.attention_mask.shape						)
           _lowercase     			=						batch.input_ids.tolist()[0]
           self.assertListEqual(snake_case__ ,							snake_case__						)
           # Test that special tokens are reset

   @require_torch
   def       SCREAMING_SNAKE_CASE__					(     self:						Dict						)	->		str:


       """simple docstring"""



       _lowercase     			=						['A long paragraph for summarization.', 'Another paragraph for summarization.']
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           _lowercase     			=						tokenizer(snake_case__ ,							padding=snake_case__ ,							return_tensors='pt'						)
           # check if input_ids are returned and no labels
           self.assertIn('input_ids' ,							snake_case__						)
           self.assertIn('attention_mask' ,							snake_case__						)
           self.assertNotIn('labels' ,							snake_case__						)
           self.assertNotIn('decoder_attention_mask' ,							snake_case__						)

   @require_torch
   def       SCREAMING_SNAKE_CASE__					(     self:						List[Any]						)	->		Optional[int]:


       """simple docstring"""



       _lowercase     			=						[
           'Summary of the text.',
           'Another summary.',
       ]
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           _lowercase     			=						tokenizer(text_target=snake_case__ ,							max_length=32 ,							padding='max_length' ,							return_tensors='pt'						)
           self.assertEqual(32 ,							targets['input_ids'].shape[1]						)

   @require_torch
   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[int]						)	->		str:


       """simple docstring"""



       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           _lowercase     			=						tokenizer(
               ['I am a small frog' * 1_024, 'I am a small frog'] ,							padding=snake_case__ ,							truncation=snake_case__ ,							return_tensors='pt'						)
           self.assertIsInstance(snake_case__ ,							snake_case__						)
           self.assertEqual(batch.input_ids.shape ,							(2, 1_024)						)

   @require_torch
   def       SCREAMING_SNAKE_CASE__					(     self:						Any						)	->		int:


       """simple docstring"""



       _lowercase     			=						['A long paragraph for summarization.']
       _lowercase     			=						[
           'Summary of the text.',
       ]
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           _lowercase     			=						tokenizer(snake_case__ ,							return_tensors='pt'						)
           _lowercase     			=						tokenizer(text_target=snake_case__ ,							return_tensors='pt'						)
           _lowercase     			=						inputs['input_ids']
           _lowercase     			=						targets['input_ids']
           self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()						)
           self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()						)
           self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()						)
           self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Tuple						)	->		Optional[Any]:


       """simple docstring"""



       pass

   def       SCREAMING_SNAKE_CASE__					(     self:						Dict						)	->		Union[str, Any]:


       """simple docstring"""



       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
               _lowercase     			=						self.rust_tokenizer_class.from_pretrained(snake_case__ ,							**snake_case__						)
               _lowercase     			=						self.tokenizer_class.from_pretrained(snake_case__ ,							**snake_case__						)
               _lowercase     			=						'A, <mask> AllenNLP sentence.'
               _lowercase     			=						tokenizer_r.encode_plus(snake_case__ ,							add_special_tokens=snake_case__ ,							return_token_type_ids=snake_case__						)
               _lowercase     			=						tokenizer_p.encode_plus(snake_case__ ,							add_special_tokens=snake_case__ ,							return_token_type_ids=snake_case__						)

               # token_type_ids should put 0 everywhere
               self.assertEqual(sum(tokens_r['token_type_ids']						) ,							sum(tokens_p['token_type_ids']						)						)

               # attention_mask should put 1 everywhere, so sum over length should be 1
               self.assertEqual(
                   sum(tokens_r['attention_mask']						) / len(tokens_r['attention_mask']						) ,							sum(tokens_p['attention_mask']						) / len(tokens_p['attention_mask']						) ,							)

               _lowercase     			=						tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']						)
               _lowercase     			=						tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']						)

               # Rust correctly handles the space before the mask while python doesnt
               self.assertSequenceEqual(tokens_p['input_ids'] ,							[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)
               self.assertSequenceEqual(tokens_r['input_ids'] ,							[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)

               self.assertSequenceEqual(
                   snake_case__ ,							['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']						)
               self.assertSequenceEqual(
                   snake_case__ ,							['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']						)








import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


lowerCamelCase					    =	threading.Lock()
lowerCamelCase					    =	None

lowerCamelCase					    =	{
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

lowerCamelCase					    =	logging.WARNING

lowerCamelCase					    =	True
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						os.getenv('DIFFUSERS_VERBOSITY',   _lowercase   )
    if env_level_str:
        if env_level_str in log_levels:
            return log_levels[env_level_str]
        else:
            logging.getLogger().warning(
                f'''Unknown option DIFFUSERS_VERBOSITY={env_level_str}, '''
                f'''has to be one of: { ", ".join(log_levels.keys()   ) }'''   )
    return _default_log_level
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return __name__.split('.'   )[0]
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return logging.getLogger(_get_library_name()   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _default_handler

    with _lock:
        if _default_handler:
            # This library has already configured the library root logger.
            return
        _lowercase     			=						logging.StreamHandler()  # Set sys.stderr as stream.
        _lowercase     			=						sys.stderr.flush

        # Apply our default configuration to the library root logger.
        _lowercase     			=						_get_library_root_logger()
        library_root_logger.addHandler(_default_handler   )
        library_root_logger.setLevel(_get_default_logging_level()   )
        _lowercase     			=						False
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _default_handler

    with _lock:
        if not _default_handler:
            return

        _lowercase     			=						_get_library_root_logger()
        library_root_logger.removeHandler(_default_handler   )
        library_root_logger.setLevel(logging.NOTSET   )
        _lowercase     			=						None
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return log_levels
def 							UpperCAmelCase   ( _lowercase = None   ):


    '''simple docstring'''



    if name is None:
        _lowercase     			=						_get_library_name()

    _configure_library_root_logger()
    return logging.getLogger(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()
    return _get_library_root_logger().getEffectiveLevel()
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _configure_library_root_logger()
    _get_library_root_logger().setLevel(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert _default_handler is not None
    _get_library_root_logger().removeHandler(_default_handler   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert _default_handler is not None
    _get_library_root_logger().addHandler(_default_handler   )
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert handler is not None
    _get_library_root_logger().addHandler(_lowercase   )
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert handler is not None and handler not in _get_library_root_logger().handlers
    _get_library_root_logger().removeHandler(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()
    _lowercase     			=						False
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()
    _lowercase     			=						True
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						_get_library_root_logger().handlers

    for handler in handlers:
        _lowercase     			=						logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'   )
        handler.setFormatter(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						_get_library_root_logger().handlers

    for handler in handlers:
        handler.setFormatter(_lowercase   )
def 							UpperCAmelCase   ( self,   *_lowercase,   **_lowercase   ):


    '''simple docstring'''



    _lowercase     			=						os.getenv('DIFFUSERS_NO_ADVISORY_WARNINGS',   _lowercase   )
    if no_advisory_warnings:
        return
    self.warning(*_lowercase,   **_lowercase   )


lowerCamelCase					    =	warning_advice

class        snake_case_				:







   """simple docstring"""



   def __init__(     self:						int ,							*snake_case__:						str ,							**snake_case__:						Any						)	->		Any:  # pylint: disable=unused-argument


       """simple docstring"""



       _lowercase     			=						args[0] if args else None

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


       """simple docstring"""



       return iter(self._iterator						)

   def __getattr__(     self:						int ,							snake_case__:						Any						)	->		List[Any]:


       """simple docstring"""



       def empty_fn(*snake_case__:						Optional[int] ,							**snake_case__:						Union[str, Any]						):  # pylint: disable=unused-argument
           return

       return empty_fn

   def __enter__(     self:						List[Any]						)	->		Tuple:


       """simple docstring"""



       return self

   def __exit__(     self:						List[str] ,							snake_case__:						Optional[Any] ,							snake_case__:						Dict ,							snake_case__:						List[str]						)	->		Optional[Any]:


       """simple docstring"""



       return






class        snake_case_				:







   """simple docstring"""



   def __call__(     self:						List[str] ,							*snake_case__:						Tuple ,							**snake_case__:						Union[str, Any]						)	->		List[str]:


       """simple docstring"""



       if _tqdm_active:
           return tqdm_lib.tqdm(*snake_case__ ,							**snake_case__						)
       else:
           return EmptyTqdm(*snake_case__ ,							**snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Tuple ,							*snake_case__:						Union[str, Any] ,							**snake_case__:						str						)	->		Optional[int]:


       """simple docstring"""



       _lowercase     			=						None
       if _tqdm_active:
           return tqdm_lib.tqdm.set_lock(*snake_case__ ,							**snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						int						)	->		int:


       """simple docstring"""



       if _tqdm_active:
           return tqdm_lib.tqdm.get_lock()






lowerCamelCase					    =	_tqdm_cls()
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _tqdm_active
    return bool(_tqdm_active   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _tqdm_active
    _lowercase     			=						True
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _tqdm_active
    _lowercase     			=						False
