
import comet  # From: unbabel-comet
import torch

import datasets


lowerCamelCase__    :		Optional[int]          =   datasets.logging.get_logger(__name__)

lowerCamelCase__    :		Optional[Any]          =   """\
@inproceedings{rei-EtAl:2020:WMT,
   author    = {Rei, Ricardo  and  Stewart, Craig  and  Farinha, Ana C  and  Lavie, Alon},
   title     = {Unbabel's Participation in the WMT20 Metrics Shared Task},
   booktitle      = {Proceedings of the Fifth Conference on Machine Translation},
   month          = {November},
   year           = {2020},
   address        = {Online},
   publisher      = {Association for Computational Linguistics},
   pages     = {909--918},
}
@inproceedings{rei-etal-2020-comet,
   title = \"{COMET}: A Neural Framework for {MT} Evaluation\",
   author = \"Rei, Ricardo  and
      Stewart, Craig  and
      Farinha, Ana C  and
      Lavie, Alon\",
   booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)\",
   month = nov,
   year = \"2020\",
   address = \"Online\",
   publisher = \"Association for Computational Linguistics\",
   url = \"https://www.aclweb.org/anthology/2020.emnlp-main.213\",
   pages = \"2685--2702\",
}
"""

lowerCamelCase__    :		Tuple          =   """\
Crosslingual Optimized Metric for Evaluation of Translation (COMET) is an open-source framework used to train Machine Translation metrics that achieve high levels of correlation with different types of human judgments (HTER, DA's or MQM).
With the release of the framework the authors also released fully trained models that were used to compete in the WMT20 Metrics Shared Task achieving SOTA in that years competition.

See the [README.md] file at https://unbabel.github.io/COMET/html/models.html for more information.
"""

lowerCamelCase__    :		Optional[int]          =   """
COMET score.

Args:

`sources` (list of str): Source sentences
`predictions` (list of str): candidate translations
`references` (list of str): reference translations
`cuda` (bool): If set to True, runs COMET using GPU
`show_progress` (bool): Shows progress
`model`: COMET model to be used. Will default to `wmt-large-da-estimator-1719` if None.

Returns:
    `samples`: List of dictionaries with `src`, `mt`, `ref` and `score`.
    `scores`: List of scores.

Examples:

    >>> comet_metric = datasets.load_metric('comet')
    >>> # comet_metric = load_metric('comet', 'wmt20-comet-da')  # you can also choose which model to use
    >>> source = [\"Dem Feuer konnte Einhalt geboten werden\", \"Schulen und Kindergärten wurden eröffnet.\"]
    >>> hypothesis = [\"The fire could be stopped\", \"Schools and kindergartens were open\"]
    >>> reference = [\"They were able to control the fire.\", \"Schools and kindergartens opened\"]
    >>> results = comet_metric.compute(predictions=hypothesis, references=reference, sources=source)
    >>> print([round(v, 2) for v in results[\"scores\"]])
    [0.19, 0.92]
"""



@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION  ,						_KWARGS_DESCRIPTION							)
class       _snake_case   (	datasets.Metric							):


 def      lowercase__     (					self):


   '''simple docstring'''




   return datasets.MetricInfo(
       description=_DESCRIPTION					,  citation=_CITATION					,  homepage="""https://unbabel.github.io/COMET/html/index.html"""					,  inputs_description=_KWARGS_DESCRIPTION					,  features=datasets.Features(
           {
               """sources""": datasets.Value("""string"""					,  id="""sequence"""),
               """predictions""": datasets.Value("""string"""					,  id="""sequence"""),
               """references""": datasets.Value("""string"""					,  id="""sequence"""),
           })					,  codebase_urls=["""https://github.com/Unbabel/COMET"""]					,  reference_urls=[
           """https://github.com/Unbabel/COMET""",
           """https://www.aclweb.org/anthology/2020.emnlp-main.213/""",
           """http://www.statmt.org/wmt20/pdf/2020.wmt-1.101.pdf6""",
       ]					,  )


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   if self.config_name == "default":
     lowercase__  :   str    		=      comet.load_from_checkpoint(comet.download_model("""wmt20-comet-da"""))
   else:
     lowercase__  :   Tuple    		=      comet.load_from_checkpoint(comet.download_model(self.config_name))



 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_=None					,  SCREAMING_SNAKE_CASE_=False):


   '''simple docstring'''




   if gpus is None:
     lowercase__  :   Any    		=      1 if torch.cuda.is_available() else 0
   lowercase__  :   List[Any]    		=      {"""src""": sources, """mt""": predictions, """ref""": references}
   lowercase__  :   Dict    		=      [dict(zip(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_)) for t in zip(*data.values())]
   lowercase__		,    lowercase__  :   Any    		=      self.scorer.predict(SCREAMING_SNAKE_CASE_					,  gpus=SCREAMING_SNAKE_CASE_					,  progress_bar=SCREAMING_SNAKE_CASE_)
   return {"mean_score": mean_score, "scores": scores}








import argparse
import os
import re


lowerCamelCase__    :		List[Any]          =   """src/transformers"""

# Pattern that looks at the indentation in a line.
lowerCamelCase__    :		Union[str, Any]          =   re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
lowerCamelCase__    :		Any          =   re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
lowerCamelCase__    :		int          =   re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
lowerCamelCase__    :		List[Any]          =   re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
lowerCamelCase__    :		str          =   re.compile(R"""\[([^\]]+)\]""")

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


  '''simple docstring'''






  lowercase__  :   Optional[Any]    		=      _re_indent.search(lowercase_   )
  return "" if search is None else search.groups()[0]

def 		UpperCamelCase	(      lowercase_ , lowercase_="" , lowercase_=None , lowercase_=None   )		->	Dict:


  '''simple docstring'''






  lowercase__  :   List[str]    		=      0
  lowercase__  :   List[Any]    		=      code.split("""\n"""   )
  if start_prompt is not None:
    while not lines[index].startswith(lowercase_   ):
      index += 1
    lowercase__  :   List[str]    		=      ["""\n""".join(lines[:index]   )]
  else:
    lowercase__  :   Optional[Any]    		=      []

  # We split into blocks until we get to the `end_prompt` (or the end of the block).
  lowercase__  :   List[Any]    		=      [lines[index]]
  index += 1
  while index < len(lowercase_   ) and (end_prompt is None or not lines[index].startswith(lowercase_   )):
    if len(lines[index]   ) > 0 and get_indent(lines[index]   ) == indent_level:
      if len(lowercase_   ) > 0 and get_indent(current_block[-1]   ).startswith(indent_level + """ """   ):
        current_block.append(lines[index]   )
        blocks.append("""\n""".join(lowercase_   )   )
        if index < len(lowercase_   ) - 1:
          lowercase__  :   str    		=      [lines[index + 1]]
          index += 1
        else:
          lowercase__  :   Union[str, Any]    		=      []
      else:
        blocks.append("""\n""".join(lowercase_   )   )
        lowercase__  :   Tuple    		=      [lines[index]]
    else:
      current_block.append(lines[index]   )
    index += 1

  # Adds current block if it's nonempty.
  if len(lowercase_   ) > 0:
    blocks.append("""\n""".join(lowercase_   )   )

  # Add final block after end_prompt if provided.
  if end_prompt is not None and index < len(lowercase_   ):
    blocks.append("""\n""".join(lines[index:]   )   )

  return blocks

def 		UpperCamelCase	(      lowercase_   )		->	List[Any]:


  '''simple docstring'''






  def _inner(lowercase_   ):
    return key(lowercase_   ).lower().replace("""_""" , """"""   )

  return _inner

def 		UpperCamelCase	(      lowercase_ , lowercase_=None   )		->	Optional[Any]:


  '''simple docstring'''






  def noop(lowercase_   ):
    return x

  if key is None:
    lowercase__  :   Dict    		=      noop
  # Constants are all uppercase, they go first.
  lowercase__  :   Dict    		=      [obj for obj in objects if key(lowercase_   ).isupper()]
  # Classes are not all uppercase but start with a capital, they go second.
  lowercase__  :   Any    		=      [obj for obj in objects if key(lowercase_   )[0].isupper() and not key(lowercase_   ).isupper()]
  # Functions begin with a lowercase, they go last.
  lowercase__  :   Optional[int]    		=      [obj for obj in objects if not key(lowercase_   )[0].isupper()]

  lowercase__  :   Tuple    		=      ignore_underscore(lowercase_   )
  return sorted(lowercase_ , key=lowercase_   ) + sorted(lowercase_ , key=lowercase_   ) + sorted(lowercase_ , key=lowercase_   )

def 		UpperCamelCase	(      lowercase_   )		->	Tuple:


  '''simple docstring'''






  def _replace(lowercase_   ):
    lowercase__  :   int    		=      match.groups()[0]
    if "," not in imports:
      return F'[{imports}]'
    lowercase__  :   Union[str, Any]    		=      [part.strip().replace("""\"""" , """"""   ) for part in imports.split(""","""   )]
    # We will have a final empty element if the line finished with a comma.
    if len(keys[-1]   ) == 0:
      lowercase__  :   int    		=      keys[:-1]
    return "[" + ", ".join([F'"{k}"' for k in sort_objects(lowercase_   )]   ) + "]"

  lowercase__  :   Any    		=      import_statement.split("""\n"""   )
  if len(lowercase_   ) > 3:
    # Here we have to sort internal imports that are on several lines (one per name):
    # key: [
    #     "object1",
    #     "object2",
    #     ...
    # ]

    # We may have to ignore one or two lines on each side.
    lowercase__  :   Tuple    		=      2 if lines[1].strip() == """[""" else 1
    lowercase__  :   Optional[int]    		=      [(i, _re_strip_line.search(lowercase_   ).groups()[0]) for i, line in enumerate(lines[idx:-idx]   )]
    lowercase__  :   Optional[Any]    		=      sort_objects(lowercase_ , key=lambda lowercase_   : x[1]   )
    lowercase__  :   Union[str, Any]    		=      [lines[x[0] + idx] for x in sorted_indices]
    return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]   )
  elif len(lowercase_   ) == 3:
    # Here we have to sort internal imports that are on one separate line:
    # key: [
    #     "object1", "object2", ...
    # ]
    if _re_bracket_content.search(lines[1]   ) is not None:
      lowercase__  :   List[str]    		=      _re_bracket_content.sub(_replace , lines[1]   )
    else:
      lowercase__  :   Optional[int]    		=      [part.strip().replace("""\"""" , """"""   ) for part in lines[1].split(""","""   )]
      # We will have a final empty element if the line finished with a comma.
      if len(keys[-1]   ) == 0:
        lowercase__  :   Optional[int]    		=      keys[:-1]
      lowercase__  :   int    		=      get_indent(lines[1]   ) + """, """.join([F'"{k}"' for k in sort_objects(lowercase_   )]   )
    return "\n".join(lowercase_   )
  else:
    # Finally we have to deal with imports fitting on one line
    lowercase__  :   Any    		=      _re_bracket_content.sub(_replace , lowercase_   )
    return import_statement

def 		UpperCamelCase	(      lowercase_ , lowercase_=True   )		->	Optional[int]:


  '''simple docstring'''






  with open(lowercase_ , encoding="""utf-8"""   ) as f:
    lowercase__  :   str    		=      f.read()

  if "_import_structure" not in code:
    return

  # Blocks of indent level 0
  lowercase__  :   Any    		=      split_code_in_indented_blocks(
      lowercase_ , start_prompt="""_import_structure = {""" , end_prompt="""if TYPE_CHECKING:"""   )

  # We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
  for block_idx in range(1 , len(lowercase_   ) - 1   ):
    # Check if the block contains some `_import_structure`s thingy to sort.
    lowercase__  :   List[str]    		=      main_blocks[block_idx]
    lowercase__  :   str    		=      block.split("""\n"""   )

    # Get to the start of the imports.
    lowercase__  :   Optional[Any]    		=      0
    while line_idx < len(lowercase_   ) and "_import_structure" not in block_lines[line_idx]:
      # Skip dummy import blocks
      if "import dummy" in block_lines[line_idx]:
        lowercase__  :   int    		=      len(lowercase_   )
      else:
        line_idx += 1
    if line_idx >= len(lowercase_   ):
      continue

    # Ignore beginning and last line: they don't contain anything.
    lowercase__  :   List[str]    		=      """\n""".join(block_lines[line_idx:-1]   )
    lowercase__  :   Dict    		=      get_indent(block_lines[1]   )
    # Slit the internal block into blocks of indent level 1.
    lowercase__  :   List[str]    		=      split_code_in_indented_blocks(lowercase_ , indent_level=lowercase_   )
    # We have two categories of import key: list or _import_structure[key].append/extend
    lowercase__  :   Optional[int]    		=      _re_direct_key if """_import_structure = {""" in block_lines[0] else _re_indirect_key
    # Grab the keys, but there is a trap: some lines are empty or just comments.
    lowercase__  :   Optional[Any]    		=      [(pattern.search(lowercase_   ).groups()[0] if pattern.search(lowercase_   ) is not None else None) for b in internal_blocks]
    # We only sort the lines with a key.
    lowercase__  :   List[Any]    		=      [(i, key) for i, key in enumerate(lowercase_   ) if key is not None]
    lowercase__  :   Optional[int]    		=      [x[0] for x in sorted(lowercase_ , key=lambda lowercase_   : x[1]   )]

    # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
    lowercase__  :   Any    		=      0
    lowercase__  :   Optional[Any]    		=      []
    for i in range(len(lowercase_   )   ):
      if keys[i] is None:
        reorderded_blocks.append(internal_blocks[i]   )
      else:
        lowercase__  :   Optional[Any]    		=      sort_objects_in_import(internal_blocks[sorted_indices[count]]   )
        reorderded_blocks.append(lowercase_   )
        count += 1

        # And we put our main block back together with its first and last line.
    lowercase__  :   Union[str, Any]    		=      """\n""".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]   )

  if code != "\n".join(lowercase_   ):
    if check_only:
      return True
    else:
      print(F'Overwriting {file}.'   )
      with open(lowercase_ , """w""" , encoding="""utf-8"""   ) as f:
        f.write("""\n""".join(lowercase_   )   )

def 		UpperCamelCase	(      lowercase_=True   )		->	Optional[int]:


  '''simple docstring'''






  lowercase__  :   int    		=      []
  for root, _, files in os.walk(lowercase_   ):
    if "__init__.py" in files:
      lowercase__  :   Dict    		=      sort_imports(os.path.join(lowercase_ , """__init__.py"""   ) , check_only=lowercase_   )
      if result:
        lowercase__  :   List[str]    		=      [os.path.join(lowercase_ , """__init__.py"""   )]
  if len(lowercase_   ) > 0:
    raise ValueError(F'Would overwrite {len(lowercase_   )} files, run `make style`.'   )


if __name__ == "__main__":
     lowerCamelCase__    :		int          =   argparse.ArgumentParser()
     parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
     lowerCamelCase__    :		List[Any]          =   parser.parse_args()

     sort_imports_in_all_inits(check_only=args.check_only)






