





import argparse
import os
import re


UpperCAmelCase_           =	"src/diffusers"

# Pattern that looks at the indentation in a line.
UpperCAmelCase_           =	re.compile(r"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
UpperCAmelCase_           =	re.compile(r"^\s*\"([^\"]+)\":")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
UpperCAmelCase_           =	re.compile(r"^\s*_import_structure\[\"([^\"]+)\"\]")
# Pattern that matches `"key",` and puts `key` in group 0.
UpperCAmelCase_           =	re.compile(r"^\s*\"([^\"]+)\",\s*$")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
UpperCAmelCase_           =	re.compile(r"\[([^\]]+)\]")
def      A__       (    SCREAMING_SNAKE_CASE_   :      Tuple						)  ->  Tuple:






   """simple docstring"""







   _UpperCAmelCase           =   _re_indent.search(SCREAMING_SNAKE_CASE_						)
   return "" if search is None else search.groups()[0]
def      A__       (    SCREAMING_SNAKE_CASE_   :      Dict				,	SCREAMING_SNAKE_CASE_   :      Optional[int]=""				,	SCREAMING_SNAKE_CASE_   :      int=None				,	SCREAMING_SNAKE_CASE_   :      Tuple=None						)  ->  Any:






   """simple docstring"""







   _UpperCAmelCase           =   0
   _UpperCAmelCase           =   code.split('''\n'''						)
   if start_prompt is not None:
      while not lines[index].startswith(SCREAMING_SNAKE_CASE_						):
         index += 1
      _UpperCAmelCase           =   ['''\n'''.join(lines[:index]						)]
   else:
      _UpperCAmelCase           =   []

   # We split into blocks until we get to the `end_prompt` (or the end of the block).
   _UpperCAmelCase           =   [lines[index]]
   index += 1
   while index < len(SCREAMING_SNAKE_CASE_						) and (end_prompt is None or not lines[index].startswith(SCREAMING_SNAKE_CASE_						)):
      if len(lines[index]						) > 0 and get_indent(lines[index]						) == indent_level:
         if len(SCREAMING_SNAKE_CASE_						) > 0 and get_indent(current_block[-1]						).startswith(indent_level + ''' '''						):
            current_block.append(lines[index]						)
            blocks.append('''\n'''.join(SCREAMING_SNAKE_CASE_						)						)
            if index < len(SCREAMING_SNAKE_CASE_						) - 1:
               _UpperCAmelCase           =   [lines[index + 1]]
               index += 1
            else:
               _UpperCAmelCase           =   []
         else:
            blocks.append('''\n'''.join(SCREAMING_SNAKE_CASE_						)						)
            _UpperCAmelCase           =   [lines[index]]
      else:
         current_block.append(lines[index]						)
      index += 1

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

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

   return blocks
def      A__       (    SCREAMING_SNAKE_CASE_   :      Tuple						)  ->  Tuple:






   """simple docstring"""







   def _inner(SCREAMING_SNAKE_CASE_   :      Optional[Any]						):
      return key(SCREAMING_SNAKE_CASE_						).lower().replace('''_'''				,	''''''						)

   return _inner
def      A__       (    SCREAMING_SNAKE_CASE_   :      Union[str, Any]				,	SCREAMING_SNAKE_CASE_   :      Any=None						)  ->  int:






   """simple docstring"""







   def noop(SCREAMING_SNAKE_CASE_   :      Optional[Any]						):
      return x

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

   _UpperCAmelCase           =   ignore_underscore(SCREAMING_SNAKE_CASE_						)
   return sorted(SCREAMING_SNAKE_CASE_				,	key=SCREAMING_SNAKE_CASE_						) + sorted(SCREAMING_SNAKE_CASE_				,	key=SCREAMING_SNAKE_CASE_						) + sorted(SCREAMING_SNAKE_CASE_				,	key=SCREAMING_SNAKE_CASE_						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      List[Any]						)  ->  Dict:






   """simple docstring"""







   def _replace(SCREAMING_SNAKE_CASE_   :      Union[str, Any]						):
      _UpperCAmelCase           =   match.groups()[0]
      if "," not in imports:
         return F'''[{imports}]'''
      _UpperCAmelCase           =   [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:
         _UpperCAmelCase           =   keys[:-1]
      return "[" + ", ".join([F'''"{k}"''' for k in sort_objects(SCREAMING_SNAKE_CASE_						)]						) + "]"

   _UpperCAmelCase           =   import_statement.split('''\n'''						)
   if len(SCREAMING_SNAKE_CASE_						) > 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.
      _UpperCAmelCase           =   2 if lines[1].strip() == '''[''' else 1
      _UpperCAmelCase           =   [(i, _re_strip_line.search(SCREAMING_SNAKE_CASE_						).groups()[0]) for i, line in enumerate(lines[idx:-idx]						)]
      _UpperCAmelCase           =   sort_objects(SCREAMING_SNAKE_CASE_				,	key=lambda SCREAMING_SNAKE_CASE_						: x[1]						)
      _UpperCAmelCase           =   [lines[x[0] + idx] for x in sorted_indices]
      return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]						)
   elif len(SCREAMING_SNAKE_CASE_						) == 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:
         _UpperCAmelCase           =   _re_bracket_content.sub(_replace				,	lines[1]						)
      else:
         _UpperCAmelCase           =   [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:
            _UpperCAmelCase           =   keys[:-1]
         _UpperCAmelCase           =   get_indent(lines[1]						) + ''', '''.join([F'''"{k}"''' for k in sort_objects(SCREAMING_SNAKE_CASE_						)]						)
      return "\n".join(SCREAMING_SNAKE_CASE_						)
   else:
      # Finally we have to deal with imports fitting on one line
      _UpperCAmelCase           =   _re_bracket_content.sub(_replace				,	SCREAMING_SNAKE_CASE_						)
      return import_statement
def      A__       (    SCREAMING_SNAKE_CASE_   :      Union[str, Any]				,	SCREAMING_SNAKE_CASE_   :      List[str]=True						)  ->  str:






   """simple docstring"""







   with open(SCREAMING_SNAKE_CASE_				,	'''r'''						) as f:
      _UpperCAmelCase           =   f.read()

   if "_import_structure" not in code:
      return

   # Blocks of indent level 0
   _UpperCAmelCase           =   split_code_in_indented_blocks(
       SCREAMING_SNAKE_CASE_				,	start_prompt='''_import_structure = {'''				,	end_prompt='''if TYPE_CHECKING:'''						)

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

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

      # Ignore beginning and last line: they don't contain anything.
      _UpperCAmelCase           =   '''\n'''.join(block_lines[line_idx:-1]						)
      _UpperCAmelCase           =   get_indent(block_lines[1]						)
      # Slit the internal block into blocks of indent level 1.
      _UpperCAmelCase           =   split_code_in_indented_blocks(SCREAMING_SNAKE_CASE_				,	indent_level=SCREAMING_SNAKE_CASE_						)
      # We have two categories of import key: list or _import_structure[key].append/extend
      _UpperCAmelCase           =   _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.
      _UpperCAmelCase           =   [(pattern.search(SCREAMING_SNAKE_CASE_						).groups()[0] if pattern.search(SCREAMING_SNAKE_CASE_						) is not None else None) for b in internal_blocks]
      # We only sort the lines with a key.
      _UpperCAmelCase           =   [(i, key) for i, key in enumerate(SCREAMING_SNAKE_CASE_						) if key is not None]
      _UpperCAmelCase           =   [x[0] for x in sorted(SCREAMING_SNAKE_CASE_				,	key=lambda SCREAMING_SNAKE_CASE_						: x[1]						)]

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

        # And we put our main block back together with its first and last line.
      _UpperCAmelCase           =   '''\n'''.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]						)

   if code != "\n".join(SCREAMING_SNAKE_CASE_						):
      if check_only:
         return True
      else:
         print(F'''Overwriting {file}.'''						)
         with open(SCREAMING_SNAKE_CASE_				,	'''w'''						) as f:
            f.write('''\n'''.join(SCREAMING_SNAKE_CASE_						)						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      List[str]=True						)  ->  int:






   """simple docstring"""







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


if __name__ == "__main__":
   UpperCAmelCase_           =	argparse.ArgumentParser()
   parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
   UpperCAmelCase_           =	parser.parse_args()

   sort_imports_in_all_inits(check_only=args.check_only)
import sacrebleu as scb
from packaging import version
from sacrebleu import CHRF

import datasets


SCREAMING_SNAKE_CASE		:     Tuple         =	"\\n@inproceedings{popovic-2015-chrf,\n    title = \"chr{F}: character n-gram {F}-score for automatic {MT} evaluation\",\n    author = \"Popovi{\'c}, Maja\",\n    booktitle = \"Proceedings of the Tenth Workshop on Statistical Machine Translation\",\n    month = sep,\n    year = \"2015\",\n    address = \"Lisbon, Portugal\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/W15-3049\",\n    doi = \"10.18653/v1/W15-3049\",\n    pages = \"392--395\",\n}\n@inproceedings{popovic-2017-chrf,\n    title = \"chr{F}++: words helping character n-grams\",\n    author = \"Popovi{\'c}, Maja\",\n    booktitle = \"Proceedings of the Second Conference on Machine Translation\",\n    month = sep,\n    year = \"2017\",\n    address = \"Copenhagen, Denmark\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/W17-4770\",\n    doi = \"10.18653/v1/W17-4770\",\n    pages = \"612--618\",\n}\n@inproceedings{post-2018-call,\n    title = \"A Call for Clarity in Reporting {BLEU} Scores\",\n    author = \"Post, Matt\",\n    booktitle = \"Proceedings of the Third Conference on Machine Translation: Research Papers\",\n    month = oct,\n    year = \"2018\",\n    address = \"Belgium, Brussels\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/W18-6319\",\n    pages = \"186--191\",\n}\n"

SCREAMING_SNAKE_CASE		:     Tuple         =	"\\nChrF and ChrF++ are two MT evaluation metrics. They both use the F-score statistic for character n-gram matches,\nand ChrF++ adds word n-grams as well which correlates more strongly with direct assessment. We use the implementation\nthat is already present in sacrebleu.\n\nThe implementation here is slightly different from sacrebleu in terms of the required input format. The length of\nthe references and hypotheses lists need to be the same, so you may need to transpose your references compared to\nsacrebleu's required input format. See https://github.com/huggingface/datasets/issues/3154#issuecomment-950746534\n\nSee the README.md file at https://github.com/mjpost/sacreBLEU#chrf--chrf for more information.\n"

SCREAMING_SNAKE_CASE		:     Optional[int]         =	"\nProduces ChrF(++) scores for hypotheses given reference translations.\n\nArgs:\n    predictions (list of str): The predicted sentences.\n    references (list of list of str): The references. There should be one reference sub-list for each prediction sentence.\n    char_order (int): Character n-gram order. Defaults to `6`.\n    word_order (int): Word n-gram order. If equals to `2`, the metric is referred to as chrF++. Defaults to `0`.\n    beta (int): Determine the importance of recall w.r.t precision. Defaults to `2`.\n    lowercase (bool): if `True`, enables case-insensitivity. Defaults to `False`.\n    whitespace (bool): If `True`, include whitespaces when extracting character n-grams.\n    eps_smoothing (bool): If `True`, applies epsilon smoothing similar\n    to reference chrF++.py, NLTK and Moses implementations. If `False`,\n    it takes into account effective match order similar to sacreBLEU < 2.0.0. Defaults to `False`.\n\nReturns:\n    'score' (float): The chrF (chrF++) score,\n    'char_order' (int): The character n-gram order,\n    'word_order' (int): The word n-gram order. If equals to 2, the metric is referred to as chrF++,\n    'beta' (int): Determine the importance of recall w.r.t precision\n\nExamples:\n    Example 1--a simple example of calculating chrF:\n        >>> prediction = [\"The relationship between cats and dogs is not exactly friendly.\", \"a good bookshop is just a genteel black hole that knows how to read.\"]\n        >>> reference = [[\"The relationship between dogs and cats is not exactly friendly.\"], [\"A good bookshop is just a genteel Black Hole that knows how to read.\"]]\n        >>> chrf = datasets.load_metric(\"chrf\")\n        >>> results = chrf.compute(predictions=prediction, references=reference)\n        >>> print(results)\n        {'score': 84.64214891738334, 'char_order': 6, 'word_order': 0, 'beta': 2}\n\n    Example 2--the same example, but with the argument word_order=2, to calculate chrF++ instead of chrF:\n        >>> prediction = [\"The relationship between cats and dogs is not exactly friendly.\", \"a good bookshop is just a genteel black hole that knows how to read.\"]\n        >>> reference = [[\"The relationship between dogs and cats is not exactly friendly.\"], [\"A good bookshop is just a genteel Black Hole that knows how to read.\"]]\n        >>> chrf = datasets.load_metric(\"chrf\")\n        >>> results = chrf.compute(predictions=prediction,\n        ...                         references=reference,\n        ...                         word_order=2)\n        >>> print(results)\n        {'score': 82.87263732906315, 'char_order': 6, 'word_order': 2, 'beta': 2}\n\n    Example 3--the same chrF++ example as above, but with `lowercase=True` to normalize all case:\n        >>> prediction = [\"The relationship between cats and dogs is not exactly friendly.\", \"a good bookshop is just a genteel black hole that knows how to read.\"]\n        >>> reference = [[\"The relationship between dogs and cats is not exactly friendly.\"], [\"A good bookshop is just a genteel Black Hole that knows how to read.\"]]\n        >>> chrf = datasets.load_metric(\"chrf\")\n        >>> results = chrf.compute(predictions=prediction,\n        ...                         references=reference,\n        ...                         word_order=2,\n        ...                         lowercase=True)\n        >>> print(results)\n        {'score': 92.12853119829202, 'char_order': 6, 'word_order': 2, 'beta': 2}\n"

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





						def        A_							(self						)				->				Dict:
												if version.parse(scb.__version__						) < version.parse("""1.4.12"""						):
																		raise ImportWarning(
																		    """To use `sacrebleu`, the module `sacrebleu>=1.4.12` is required, and the current version of `sacrebleu` doesn't match this condition.\n"""
																		    """You can install it with `pip install \"sacrebleu>=1.4.12\"`."""						)
												return datasets.MetricInfo(
												    description=_DESCRIPTION			,     citation=_CITATION			,     homepage="""https://github.com/mjpost/sacreBLEU#chrf--chrf"""			,     inputs_description=_KWARGS_DESCRIPTION			,     features=datasets.Features(
												        {
												            """predictions""": datasets.Value("""string"""			,     id="""sequence"""						),
												            """references""": datasets.Sequence(datasets.Value("""string"""			,     id="""sequence"""						)			,     id="""references"""						),
												        }						)			,     codebase_urls=["""https://github.com/mjpost/sacreBLEU#chrf--chrf"""]			,     reference_urls=[
												        """https://github.com/m-popovic/chrF""",
												    ]			,     )





						def        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase			,     __UpperCamelCase = CHRF.CHAR_ORDER			,     __UpperCamelCase = CHRF.WORD_ORDER			,     __UpperCamelCase = CHRF.BETA			,     __UpperCamelCase = False			,     __UpperCamelCase = False			,     __UpperCamelCase = False			,     )				->				List[Any]:
												UpperCamelCase_		:							List[str]  =		len(references[0]						)
												if any(len(__UpperCamelCase						) != references_per_prediction for refs in references						):
																		raise ValueError("""Sacrebleu requires the same number of references for each prediction"""						)
												UpperCamelCase_		:							Optional[Any]  =		[[refs[i] for refs in references] for i in range(__UpperCamelCase						)]

												UpperCamelCase_		:							List[Any]  =		CHRF(__UpperCamelCase			,     __UpperCamelCase			,     __UpperCamelCase			,     __UpperCamelCase			,     __UpperCamelCase			,     __UpperCamelCase						)
												UpperCamelCase_		:							int  =		sb_chrf.corpus_score(__UpperCamelCase			,     __UpperCamelCase						)

												return {
												    "score": output.score,
												    "char_order": output.char_order,
												    "word_order": output.word_order,
												    "beta": output.beta,
												}






