"""simple docstring"""







import os

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

import datasets


__SCREAMING_SNAKE_CASE    	=datasets.logging.get_logger(__name__)


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

__SCREAMING_SNAKE_CASE    	="\\nBLEURT 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)\nand 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\nit for your specific application (the latter is expected to perform better).\n\nSee the project\'s README at https://github.com/google-research/bleurt#readme for more information.\n"

__SCREAMING_SNAKE_CASE    	="\nBLEURT score.\n\nArgs:\n    `predictions` (list of str): prediction/candidate sentences\n    `references` (list of str): reference sentences\n    `checkpoint` BLEURT checkpoint. Will default to BLEURT-tiny if None.\n\nReturns:\n    \'scores\': List of scores.\nExamples:\n\n    >>> predictions = [\"hello there\", \"general kenobi\"]\n    >>> references = [\"hello there\", \"general kenobi\"]\n    >>> bleurt = datasets.load_metric(\"bleurt\")\n    >>> results = bleurt.compute(predictions=predictions, references=references)\n    >>> print([round(v, 2) for v in results[\"scores\"]])\n    [1.03, 1.04]\n"

__SCREAMING_SNAKE_CASE    	={
    "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        UpperCamelCase		(			datasets.Metric  ):
   def 			_UpperCAmelCase   (			self			)	->      Optional[int]:


        '''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 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      List[Any]:


        '''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\').'			)
             lowercase_	:				Dict													=	'''bleurt-base-128'''

        if self.config_name.lower() in CHECKPOINT_URLS:
             lowercase_	:				Optional[int]													=	self.config_name.lower()

        elif self.config_name.upper() in CHECKPOINT_URLS:
             lowercase_	:				Union[str, Any]													=	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
        lowercase_	:				Any													=	dl_manager.download_and_extract(CHECKPOINT_URLS[checkpoint_name]			)
        lowercase_	:				Dict													=	score.BleurtScorer(os.path.join(__UpperCamelCase     ,__UpperCamelCase			)			)







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


        '''simple docstring'''


        lowercase_	:				Dict													=	self.scorer.score(references=__UpperCamelCase     ,candidates=__UpperCamelCase			)
        return {"scores": scores}








import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE



class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     int       			=      ''''''
			lowerCamelCase_     :     str       			=      (
			    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
			)
			lowerCamelCase_     :     str       			=      None  # compression type in fsspec. ex: "gzip"
			lowerCamelCase_     :     str       			=      None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz






			def __init__(self					,							__magic_name__ = ""					,							__magic_name__ = None					,							__magic_name__ = None					,							**__magic_name__    )     ->   Any:


							'''simple docstring'''



							super().__init__(self					,							**__magic_name__    )
							# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
							snake_case_						:    Union[str, Any]				=  fsspec.open(
							    __magic_name__					,							mode='''rb'''					,							protocol=__magic_name__					,							compression=self.compression					,							client_kwargs={
							        '''requote_redirect_url''': False,  # see https://github.com/huggingface/datasets/pull/5459
							        '''trust_env''': True,  # Enable reading proxy env variables.
							        **(target_options or {}).pop('''client_kwargs'''					,							{}    ),  # To avoid issues if it was already passed.
							    }					,							**(target_options or {})					,							)
							snake_case_						:    Tuple				=  os.path.basename(self.file.path.split('''::'''    )[0]    )
							snake_case_						:    Optional[Any]				=  (
							    self.compressed_name[: self.compressed_name.rindex('''.'''    )]
							    if '''.''' in self.compressed_name
							    else self.compressed_name
							)
							snake_case_						:    Dict				=  None






			@classmethod
			def 			lowerCamelCase  (cls					,							__magic_name__    )     ->   Optional[int]:


							'''simple docstring'''



							return super()._strip_protocol(__magic_name__    ).lstrip('''/'''    )






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


							'''simple docstring'''



							if self.dir_cache is None:
											snake_case_						:    Optional[int]				=  {**self.file.fs.info(self.file.path    ), '''name''': self.uncompressed_name}
											snake_case_						:    List[str]				=  {f['''name''']: f}






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   Optional[Any]:


							'''simple docstring'''



							return self.file.open().read()






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__ = "rb"					,							__magic_name__=None					,							__magic_name__=True					,							__magic_name__=None					,							**__magic_name__					,							)     ->   int:


							'''simple docstring'''



							snake_case_						:    Union[str, Any]				=  self._strip_protocol(__magic_name__    )
							if mode != "rb":
											raise ValueError(F'''Tried to read with mode {mode} on file {self.file.path} opened with mode \'rb\''''    )
							return self.file.open()




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Union[str, Any]       			=      '''bz2'''
			lowerCamelCase_     :     Any       			=      '''bz2'''
			lowerCamelCase_     :     int       			=      '''.bz2'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Union[str, Any]       			=      '''gzip'''
			lowerCamelCase_     :     Dict       			=      '''gzip'''
			lowerCamelCase_     :     int       			=      '''.gz'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Any       			=      '''lz4'''
			lowerCamelCase_     :     Any       			=      '''lz4'''
			lowerCamelCase_     :     Optional[Any]       			=      '''.lz4'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Tuple       			=      '''xz'''
			lowerCamelCase_     :     Any       			=      '''xz'''
			lowerCamelCase_     :     int       			=      '''.xz'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Union[str, Any]       			=      '''zstd'''
			lowerCamelCase_     :     Tuple       			=      '''zstd'''
			lowerCamelCase_     :     Any       			=      '''.zst'''






			def __init__(self					,							__magic_name__					,							__magic_name__ = "rb"					,							__magic_name__ = None					,							__magic_name__ = None					,							__magic_name__ = DEFAULT_BLOCK_SIZE					,							**__magic_name__					,							)     ->   Tuple:


							'''simple docstring'''



							super().__init__(
							    fo=__magic_name__					,							mode=__magic_name__					,							target_protocol=__magic_name__					,							target_options=__magic_name__					,							block_size=__magic_name__					,							**__magic_name__					,							)
							# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
							#
							# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
							#     out.close = close
							# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
							#
							# see https://github.com/intake/filesystem_spec/issues/725
							snake_case_						:    Dict				=  self.file.__enter__



							class 					__lowerCAmelCase       :






										def __init__(self					,							__magic_name__    )     ->   List[Any]:


														'''simple docstring'''



														snake_case_						:    str				=  file_






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


														'''simple docstring'''



														self._file.__enter__()
														return self






										def __exit__(self					,							*__magic_name__					,							**__magic_name__    )     ->   int:


														'''simple docstring'''



														self._file.__exit__(*__magic_name__					,							**__magic_name__    )






										def __iter__(self    )     ->   Optional[int]:


														'''simple docstring'''



														return iter(self._file    )






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


														'''simple docstring'''



														return next(self._file    )






										def __getattr__(self					,							__magic_name__    )     ->   str:


														'''simple docstring'''



														return getattr(self._file					,							__magic_name__    )

							def fixed_enter(*__magic_name__					,							**__magic_name__    ):
											return WrappedFile(_enter(*__magic_name__					,							**__magic_name__    )    )

							snake_case_						:    Tuple				=  fixed_enter
