





from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

lowerCAmelCase_    =				TypeVar('''KEY''')
lowerCAmelCase_    =				TypeVar('''VAL''')



@dataclass(frozen=_a,     slots=_a     )
class 					__lowerCAmelCase       (			Generic[KEY, VAL]     ):
			lowerCamelCase_     :     KEY
			lowerCamelCase_     :     VAL




class 					__lowerCAmelCase       (			_Item     ):






			def __init__(self    )     ->   None:


							'''simple docstring'''



							super().__init__(__magic_name__					,							__magic_name__    )






			def __bool__(self    )     ->   bool:


							'''simple docstring'''



							return False




lowerCAmelCase_    =				_DeletedItem()



class 					__lowerCAmelCase       (			MutableMapping[KEY, VAL]     ):






			def __init__(self					,							__magic_name__ = 8					,							__magic_name__ = 0.75    )     ->   None:


							'''simple docstring'''



							snake_case_						:    Any				=  initial_block_size
							snake_case_						:    list[_Item | None]				=  [None] * initial_block_size
							assert 0.0 < capacity_factor < 1.0
							snake_case_						:    List[Any]				=  capacity_factor
							snake_case_						:    int				=  0






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							return hash(__magic_name__    ) % len(self._buckets    )






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							return (ind + 1) % len(self._buckets    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__					,							__magic_name__    )     ->   bool:


							'''simple docstring'''



							snake_case_						:    Any				=  self._buckets[ind]
							if not stored:
											snake_case_						:    Any				=  _Item(__magic_name__					,							__magic_name__    )
											self._len += 1
											return True
							elif stored.key == key:
											snake_case_						:    Any				=  _Item(__magic_name__					,							__magic_name__    )
											return True
							else:
											return False






			def 			lowerCamelCase  (self    )     ->   bool:


							'''simple docstring'''



							snake_case_						:    int				=  len(self._buckets    ) * self._capacity_factor
							return len(self    ) >= int(__magic_name__    )






			def 			lowerCamelCase  (self    )     ->   bool:


							'''simple docstring'''



							if len(self._buckets    ) <= self._initial_block_size:
											return False
							snake_case_						:    Dict				=  len(self._buckets    ) * self._capacity_factor / 2
							return len(self    ) < limit






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   None:


							'''simple docstring'''



							snake_case_						:    Union[str, Any]				=  self._buckets
							snake_case_						:    Tuple				=  [None] * new_size
							snake_case_						:    Dict				=  0
							for item in old_buckets:
											if item:
															self._add_item(item.key					,							item.val    )






			def 			lowerCamelCase  (self    )     ->   None:


							'''simple docstring'''



							self._resize(len(self._buckets    ) * 2    )






			def 			lowerCamelCase  (self    )     ->   None:


							'''simple docstring'''



							self._resize(len(self._buckets    ) // 2    )






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   Iterator[int]:


							'''simple docstring'''



							snake_case_						:    Dict				=  self._get_bucket_index(__magic_name__    )
							for _ in range(len(self._buckets    )    ):
											yield ind
											snake_case_						:    Dict				=  self._get_next_ind(__magic_name__    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__    )     ->   None:


							'''simple docstring'''



							for ind in self._iterate_buckets(__magic_name__    ):
											if self._try_set(__magic_name__					,							__magic_name__					,							__magic_name__    ):
															break






			def __setitem__(self					,							__magic_name__					,							__magic_name__    )     ->   None:


							'''simple docstring'''



							if self._is_full():
											self._size_up()

							self._add_item(__magic_name__					,							__magic_name__    )






			def __delitem__(self					,							__magic_name__    )     ->   None:


							'''simple docstring'''



							for ind in self._iterate_buckets(__magic_name__    ):
											snake_case_						:    List[Any]				=  self._buckets[ind]
											if item is None:
															raise KeyError(__magic_name__    )
											if item is _deleted:
															continue
											if item.key == key:
															snake_case_						:    Union[str, Any]				=  _deleted
															self._len -= 1
															break
							if self._is_sparse():
											self._size_down()






			def __getitem__(self					,							__magic_name__    )     ->   VAL:


							'''simple docstring'''



							for ind in self._iterate_buckets(__magic_name__    ):
											snake_case_						:    str				=  self._buckets[ind]
											if item is None:
															break
											if item is _deleted:
															continue
											if item.key == key:
															return item.val
							raise KeyError(__magic_name__    )






			def __len__(self    )     ->   int:


							'''simple docstring'''



							return self._len






			def __iter__(self    )     ->   Iterator[KEY]:


							'''simple docstring'''



							yield from (item.key for item in self._buckets if item)






			def __repr__(self    )     ->   str:


							'''simple docstring'''



							snake_case_						:    List[Any]				=  ''' ,'''.join(
							    F'''{item.key}: {item.val}''' for item in self._buckets if item    )
							return F'''HashMap({val_string})'''







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}
