





import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar
class     SCREAMING_SNAKE_CASE       (unittest.TestCase				):


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





     """simple docstring"""







     lowercase__           =  logging.get_logger()

     # the current default level is logging.WARNING
     lowercase__           =  logging.get_verbosity()

     logging.set_verbosity_error()
     self.assertEqual(logger.getEffectiveLevel()      ,					logging.get_verbosity()	)

     logging.set_verbosity_warning()
     self.assertEqual(logger.getEffectiveLevel()      ,					logging.get_verbosity()	)

     logging.set_verbosity_info()
     self.assertEqual(logger.getEffectiveLevel()      ,					logging.get_verbosity()	)

     logging.set_verbosity_debug()
     self.assertEqual(logger.getEffectiveLevel()      ,					logging.get_verbosity()	)

     # restore to the original level
     logging.set_verbosity(a	)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]	)->       List[str]:





     """simple docstring"""







     lowercase__           =  logging.get_verbosity()

     lowercase__           =  logging.get_logger('transformers.models.bart.tokenization_bart'	)
     lowercase__           =  'Testing 1, 2, 3'

     # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
     if level_origin <= logging.WARNING:
       with CaptureLogger(a	) as cl:
         logger.warning(a	)
       self.assertEqual(cl.out      ,					msg + '\n'	)

     # this is setting the level for all of `transformers.*` loggers
     logging.set_verbosity_error()

     # should not be able to log warnings
     with CaptureLogger(a	) as cl:
       logger.warning(a	)
     self.assertEqual(cl.out      ,					''	)

     # should be able to log warnings again
     logging.set_verbosity_warning()
     with CaptureLogger(a	) as cl:
       logger.warning(a	)
     self.assertEqual(cl.out      ,					msg + '\n'	)

     # restore to the original level
     logging.set_verbosity(a	)


   @mockenv(TRANSFORMERS_VERBOSITY='error'	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]	)->       Union[str, Any]:





     """simple docstring"""







     transformers.utils.logging._reset_library_root_logger()
     # this action activates the env var
     lowercase__           =  logging.get_logger('transformers.models.bart.tokenization_bart'	)

     lowercase__           =  os.getenv('TRANSFORMERS_VERBOSITY'      ,					a	)
     lowercase__           =  logging.log_levels[env_level_str]

     lowercase__           =  logging.get_verbosity()
     self.assertEqual(
         a      ,					a      ,					f"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""      ,					)

     # restore to the original level
     lowercase__           =  ''
     transformers.utils.logging._reset_library_root_logger()


   @mockenv(TRANSFORMERS_VERBOSITY='super-error'	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       List[str]:





     """simple docstring"""







     transformers.utils.logging._reset_library_root_logger()
     lowercase__           =  logging.logging.getLogger()
     with CaptureLogger(a	) as cl:
       # this action activates the env var
       logging.get_logger('transformers.models.bart.tokenization_bart'	)
     self.assertIn('Unknown option TRANSFORMERS_VERBOSITY=super-error'      ,					cl.out	)

     # no need to restore as nothing was changed


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





     """simple docstring"""







     transformers.utils.logging._reset_library_root_logger()

     lowercase__           =  logging.get_logger('transformers.models.bart.tokenization_bart'	)
     lowercase__           =  'Testing 1, 2, 3'

     with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS='1'	):
       # nothing should be logged as env var disables this method
       with CaptureLogger(a	) as cl:
         logger.warning_advice(a	)
       self.assertEqual(cl.out      ,					''	)

     with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=''	):
       # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
       with CaptureLogger(a	) as cl:
         logger.warning_advice(a	)
       self.assertEqual(cl.out      ,					msg + '\n'	)






def       __UpperCamelCase  ()    ->       List[Any]:
  disable_progress_bar()
  assert are_progress_bars_disabled()

  enable_progress_bar()
  assert not are_progress_bars_disabled()









from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):


   def __init__(   self      :    List[str]      ,					a      :    Callable      ,					a      :    Optional[Features] = None      ,					a      :    str = None      ,					a      :    bool = False      ,					a      :    bool = False      ,					a      :    Optional[dict] = None      ,					a      :    Optional[int] = None      ,					**a      :    str      ,					)->       Tuple:





     """simple docstring"""







     super().__init__(
         features=a      ,					cache_dir=a      ,					keep_in_memory=a      ,					streaming=a      ,					num_proc=a      ,					**a      ,					)
     lowercase__           =  Generator(
         cache_dir=a      ,					features=a      ,					generator=a      ,					gen_kwargs=a      ,					**a      ,					)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       Dict:





     """simple docstring"""







     if self.streaming:
       lowercase__           =  self.builder.as_streaming_dataset(split='train'	)
     # Build regular (map-style) dataset
     else:
       lowercase__           =  None
       lowercase__           =  None
       lowercase__           =  None
       lowercase__           =  None

       self.builder.download_and_prepare(
           download_config=a      ,					download_mode=a      ,					verification_mode=a      ,					base_path=a      ,					num_proc=self.num_proc      ,					)
       lowercase__           =  self.builder.as_dataset(
           split='train'      ,					verification_mode=a      ,					in_memory=self.keep_in_memory	)
     return dataset


