




"""simple docstring"""




import os

from bleurt import score  # From: git+https://github.com/google-research/bleurt.git

import datasets


lowerCAmelCase							:    Optional[int]  							=							datasets.logging.get_logger(__name__)


lowerCAmelCase							:    Optional[Any]  							=							'''\
@inproceedings{bleurt,
  title={BLEURT: Learning Robust Metrics for Text Generation},
  author={Thibault Sellam and Dipanjan Das and Ankur P. Parikh},
  booktitle={ACL},
  year={2020},
  url={https://arxiv.org/abs/2004.04696}
}
'''

lowerCAmelCase							:    int  							=							'''\
BLEURT a learnt evaluation metric for Natural Language Generation. It is built using multiple phases of transfer learning starting from a pretrained BERT model (Devlin et al. 2018)
and then employing another pre-training phrase using synthetic data. Finally it is trained on WMT human annotations. You may run BLEURT out-of-the-box or fine-tune
it for your specific application (the latter is expected to perform better).

See the project\'s README at https://github.com/google-research/bleurt#readme for more information.
'''

lowerCAmelCase							:    Optional[int]  							=							'''
BLEURT score.

Args:
    `predictions` (list of str): prediction/candidate sentences
    `references` (list of str): reference sentences
    `checkpoint` BLEURT checkpoint. Will default to BLEURT-tiny if None.

Returns:
    \'scores\': List of scores.
Examples:

    >>> predictions = ["hello there", "general kenobi"]
    >>> references = ["hello there", "general kenobi"]
    >>> bleurt = datasets.load_metric("bleurt")
    >>> results = bleurt.compute(predictions=predictions, references=references)
    >>> print([round(v, 2) for v in results["scores"]])
    [1.03, 1.04]
'''

lowerCAmelCase							:    str  							=							{
    '''bleurt-tiny-128''': '''https://storage.googleapis.com/bleurt-oss/bleurt-tiny-128.zip''',
    '''bleurt-tiny-512''': '''https://storage.googleapis.com/bleurt-oss/bleurt-tiny-512.zip''',
    '''bleurt-base-128''': '''https://storage.googleapis.com/bleurt-oss/bleurt-base-128.zip''',
    '''bleurt-base-512''': '''https://storage.googleapis.com/bleurt-oss/bleurt-base-512.zip''',
    '''bleurt-large-128''': '''https://storage.googleapis.com/bleurt-oss/bleurt-large-128.zip''',
    '''bleurt-large-512''': '''https://storage.googleapis.com/bleurt-oss/bleurt-large-512.zip''',
    '''BLEURT-20-D3''': '''https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D3.zip''',
    '''BLEURT-20-D6''': '''https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D6.zip''',
    '''BLEURT-20-D12''': '''https://storage.googleapis.com/bleurt-oss-21/BLEURT-20-D12.zip''',
    '''BLEURT-20''': '''https://storage.googleapis.com/bleurt-oss-21/BLEURT-20.zip''',
}






@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION		,      _KWARGS_DESCRIPTION       )
class 					__magic_name__							( datasets.Metric       ):






				'''simple docstring'''





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return datasets.MetricInfo(
							    description=_DESCRIPTION	,				citation=_CITATION	,				homepage="""https://github.com/google-research/bleurt"""	,				inputs_description=_KWARGS_DESCRIPTION	,				features=datasets.Features(
							        {
							            """predictions""": datasets.Value("""string"""	,				id="""sequence"""				),
							            """references""": datasets.Value("""string"""	,				id="""sequence"""				),
							        }				)	,				codebase_urls=["""https://github.com/google-research/bleurt"""]	,				reference_urls=["""https://github.com/google-research/bleurt""", """https://arxiv.org/abs/2004.04696"""]	,				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""






							if self.config_name == "default":
										logger.warning(
										    """Using default BLEURT-Base checkpoint for sequence maximum length 128. """
										    """You can use a bigger model for better results with e.g.: datasets.load_metric('bleurt', 'bleurt-large-512')."""				)
										lowerCamelCase       =      """bleurt-base-128"""

							if self.config_name.lower() in CHECKPOINT_URLS:
										lowerCamelCase       =      self.config_name.lower()

							elif self.config_name.upper() in CHECKPOINT_URLS:
										lowerCamelCase       =      self.config_name.upper()

							else:
										raise KeyError(
										    f'{self.config_name} model not found. You should supply the name of a model checkpoint for bleurt in {CHECKPOINT_URLS.keys()}'				)

							# download the model checkpoint specified by self.config_name and set up the scorer
							lowerCamelCase       =      dl_manager.download_and_extract(CHECKPOINT_URLS[checkpoint_name]				)
							lowerCamelCase       =      score.BleurtScorer(os.path.join(__UpperCamelCase	,				__UpperCamelCase				)				)





				def      _lowerCAmelCase       ( self	,				_a	,				_a				):





							"""simple docstring"""
							lowerCamelCase       =      self.scorer.score(references=__UpperCamelCase	,				candidates=__UpperCamelCase				)
							return {"scores": scores}









"""simple docstring"""




from ..utils import DummyObject, requires_backends






class 					__magic_name__							( metaclass=UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		["note_seq"]





				def __init__( self	,				*_a	,				**_a				):





							"""simple docstring"""
							requires_backends(self	,				["""note_seq"""]				)





				@classmethod
				def      _lowerCAmelCase       ( cls	,				*_a	,				**_a				):





							"""simple docstring"""
							requires_backends(cls	,				["""note_seq"""]				)





				@classmethod
				def      _lowerCAmelCase       ( cls	,				*_a	,				**_a				):





							"""simple docstring"""
							requires_backends(cls	,				["""note_seq"""]				)



