
'''simple docstring'''





import os
from typing import Optional

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


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






 def __init__(	self     :int		, _A     :List[Any] = ""		, _A     :Any = None		, _A     :Optional[int] = None		, **_A     :Any	) ->	Any:







       '''simple docstring'''



       super().__init__(self		, **_A	)
       # always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
       __A						=	fsspec.open(
           _A		, mode='rb'		, protocol=_A		, 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 {})		, )
       __A						=	os.path.basename(self.file.path.split('::'	)[0]	)
       __A						=	(
           self.compressed_name[: self.compressed_name.rindex('.'	)]
           if '''.''' in self.compressed_name
           else self.compressed_name
       )
       __A						=	None






 @classmethod
 def 		lowercase_  (	cls     :List[str]		, _A     :List[Any]	) ->	Optional[int]:







       '''simple docstring'''



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






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







       '''simple docstring'''



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






 def 		lowercase_  (	self     :str		, _A     :Tuple	) ->	Optional[Any]:







       '''simple docstring'''



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






 def 		lowercase_  (	self     :Any		, _A     :Optional[int]		, _A     :int = "rb"		, _A     :List[Any]=None		, _A     :Optional[Any]=True		, _A     :Any=None		, **_A     :List[Any]		, ) ->	int:







       '''simple docstring'''



       __A						=	self._strip_protocol(_A	)
       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        UpperCamelCase__     (			_a):
 UpperCAmelCase__			:			Union[str, Any]   =    '''bz2'''
 UpperCAmelCase__			:			Any   =    '''bz2'''
 UpperCAmelCase__			:			int   =    '''.bz2'''


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


class        UpperCamelCase__     (			_a):
 UpperCAmelCase__			:			Any   =    '''lz4'''
 UpperCAmelCase__			:			Any   =    '''lz4'''
 UpperCAmelCase__			:			Optional[Any]   =    '''.lz4'''


class        UpperCamelCase__     (			_a):
 UpperCAmelCase__			:			Tuple   =    '''xz'''
 UpperCAmelCase__			:			Any   =    '''xz'''
 UpperCAmelCase__			:			int   =    '''.xz'''


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






 def __init__(	self     :List[Any]		, _A     :int		, _A     :Any = "rb"		, _A     :Union[str, Any] = None		, _A     :str = None		, _A     :Optional[int] = DEFAULT_BLOCK_SIZE		, **_A     :Tuple		, ) ->	Tuple:







       '''simple docstring'''



       super().__init__(
           fo=_A		, mode=_A		, target_protocol=_A		, target_options=_A		, block_size=_A		, **_A		, )
       # 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
       __A						=	self.file.__enter__


       class        UpperCamelCase__     :






        def __init__(	self     :Optional[Any]		, _A     :str	) ->	List[Any]:







              '''simple docstring'''



              __A						=	file_






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







              '''simple docstring'''



              self._file.__enter__()
              return self






        def __exit__(	self     :Tuple		, *_A     :Any		, **_A     :str	) ->	int:







              '''simple docstring'''



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






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







              '''simple docstring'''



              return iter(self._file	)






        def 		lowercase_  (	self     :Optional[int]	) ->	Union[str, Any]:







              '''simple docstring'''



              return next(self._file	)






        def __getattr__(	self     :int		, _A     :Optional[Any]	) ->	str:







              '''simple docstring'''



              return getattr(self._file		, _A	)

       def fixed_enter(*_A     :Tuple		, **_A     :Optional[int]	):
             return WrappedFile(_enter(*_A		, **_A	)	)

       __A						=	fixed_enter













import os

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

import datasets


lowerCAmelCase_    =				datasets.logging.get_logger(__name__)


lowerCAmelCase_    =				'''\
@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_    =				'''\
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_    =				'''
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_    =				{
    '''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     ):






			def 			lowerCamelCase  (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 			lowerCamelCase  (self					,							__magic_name__    )     ->   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\').'''    )
											snake_case_						:    Dict				=  '''bleurt-base-128'''

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

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






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


							'''simple docstring'''



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