





import os

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

import datasets


_snake_case           =					datasets.logging.get_logger(__name__)


_snake_case           =					"""\
@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}
}
"""

_snake_case           =					"""\
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.
"""

_snake_case           =					"""
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]
"""

_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    lowerCAmelCase				(  datasets.Metric   ):







  def     UpperCAmelCase	(     self    :List[Any]   ):






     '''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    :Optional[int]       ,				_lowercase    :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__					  =    "bleurt-base-128"

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

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







  def     UpperCAmelCase	(     self    :Dict       ,				_lowercase    :Optional[Any]       ,				_lowercase    :str   ):






     '''simple docstring'''





     lowercase__					  =    self.scorer.score(references=_lowercase       ,				candidates=_lowercase   )
     return {"scores": scores}










'''simple docstring'''


# Function to print upper half of diamond (pyramid)


def 		_lowercase (SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     for i in range(0       ,					SCREAMING_SNAKE_CASE							):
          for _ in range(0       ,					n - i - 1							):  # printing spaces
               print(" "       ,					end=""							)
          for _ in range(0       ,					i + 1							):  # printing stars
               print("* "       ,					end=""							)
          print()


def 		_lowercase (SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     for i in range(SCREAMING_SNAKE_CASE       ,					0       ,					-1							):
          for _ in range(SCREAMING_SNAKE_CASE       ,					0       ,					-1							):  # printing stars
               print("* "       ,					end=""							)
          print()
          for _ in range(n - i + 1       ,					0       ,					-1							):  # printing spaces
               print(" "       ,					end=""							)


def 		_lowercase (SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     if n <= 0:
          print("       ...       ....        nothing printing :("							)
          return
     floyd(SCREAMING_SNAKE_CASE							)  # upper half
     reverse_floyd(SCREAMING_SNAKE_CASE							)  # lower half


if __name__ == "__main__":
      print(r"""| /\ | |- |  |-  |--| |\  /| |-""")
      print(r"""|/  \| |- |_ |_  |__| | \/ | |_""")
      _UpperCamelCase 							=  1
      while K:
            _UpperCamelCase 							=  int(input("""enter the number and , and see the magic : """))
            print()
            pretty_print(user_number)
            _UpperCamelCase 							=  int(input("""press 0 to exit... and 1 to continue..."""))

      print("""Good Bye...""")

