


'''simple docstring'''
import os

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

import datasets


__SCREAMING_SNAKE_CASE					:				str									=		datasets.logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE					:				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}
}
'''

__SCREAMING_SNAKE_CASE					:				Optional[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.
'''

__SCREAMING_SNAKE_CASE					:				List[Any]									=		'''
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]
'''

__SCREAMING_SNAKE_CASE					:				int									=		{
    '''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 					__lowerCAmelCase   (   datasets.Metric						):

						"""simple docstring"""






						def 				_UpperCAmelCase       (  self							:      Union[str, Any]	):
													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 				_UpperCAmelCase       (  self							:      Any ,  lowerCAmelCase							:      Any	):
													# check that config name specifies a valid BLEURT model
													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')."	)
																				A_			    =		"bleurt-base-128"

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

													elif self.config_name.upper() in CHECKPOINT_URLS:
																				A_			    =		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
													A_			    =		dl_manager.download_and_extract(CHECKPOINT_URLS[checkpoint_name]	)
													A_			    =		score.BleurtScorer(os.path.join(lowerCAmelCase ,  lowerCAmelCase	)	)






						def 				_UpperCAmelCase       (  self							:      Union[str, Any] ,  lowerCAmelCase							:      List[str] ,  lowerCAmelCase							:      Tuple	):
													A_			    =		self.scorer.score(references=lowerCAmelCase ,  candidates=lowerCAmelCase	)
													return {"scores": scores}









'''simple docstring'''
import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline







@pytest.mark.integration
def       a_				(	):
							with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT ):
														with pytest.raises(UpperCamelCase_ ):
																					requests.request("GET"						,  "https://huggingface.co" )
														with pytest.raises(requests.exceptions.ConnectTimeout ):
																					requests.request("GET"						,  "https://huggingface.co"						,  timeout=1.0 )







@pytest.mark.integration
def       a_				(	):
							with offline(OfflineSimulationMode.CONNECTION_FAILS ):
														with pytest.raises(requests.exceptions.ConnectionError ):
																					requests.request("GET"						,  "https://huggingface.co" )







def       a_				(	):
							with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1 ):
														with pytest.raises(UpperCamelCase_ ):
																					http_head("https://huggingface.co" )





