
import argparse
import os
import re


_lowercase											=    """src/transformers"""

# Pattern that looks at the indentation in a line.
_lowercase											=    re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
_lowercase											=    re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_lowercase											=    re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
_lowercase											=    re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_lowercase											=    re.compile(R"""\[([^\]]+)\]""")
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[Any]				)			->						str:
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=_re_indent.search(UpperCAmelCase_				)
       return "" if search is None else search.groups()[0]
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]			,							UpperCAmelCase_	:     str=""			,							UpperCAmelCase_	:     Optional[Any]=None			,							UpperCAmelCase_	:     Optional[int]=None				)			->						int:
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=0
       SCREAMING_SNAKE_CASE_							:				Dict		=code.split('''\n'''				)
       if start_prompt is not None:
              while not lines[index].startswith(UpperCAmelCase_				):
                     index += 1
              SCREAMING_SNAKE_CASE_							:				str		=['''\n'''.join(lines[:index]				)]
       else:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=[]

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

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

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

       return blocks
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Optional[int]:

       def _inner(UpperCAmelCase_	:     List[str]				):
              return key(UpperCAmelCase_				).lower().replace('''_'''			,							''''''				)

       return _inner
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Tuple			,							UpperCAmelCase_	:     Any=None				)			->						Optional[int]:

       # If no key is provided, we use a noop.
       def noop(UpperCAmelCase_	:     List[Any]				):
              return x

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

       SCREAMING_SNAKE_CASE_							:				List[Any]		=ignore_underscore(UpperCAmelCase_				)
       return sorted(UpperCAmelCase_			,							key=UpperCAmelCase_				) + sorted(UpperCAmelCase_			,							key=UpperCAmelCase_				) + sorted(UpperCAmelCase_			,							key=UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[Any]				)			->						List[Any]:

       # This inner function sort imports between [ ].
       def _replace(UpperCAmelCase_	:     Tuple				):
              SCREAMING_SNAKE_CASE_							:				Any		=match.groups()[0]
              if "," not in imports:
                     return f'[{imports}]'
              SCREAMING_SNAKE_CASE_							:				List[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:
                     SCREAMING_SNAKE_CASE_							:				int		=keys[:-1]
              return "[" + ", ".join([f'"{k}"' for k in sort_objects(UpperCAmelCase_				)]				) + "]"

       SCREAMING_SNAKE_CASE_							:				Tuple		=import_statement.split('''\n'''				)
       if len(UpperCAmelCase_				) > 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.
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=2 if lines[1].strip() == '''[''' else 1
              SCREAMING_SNAKE_CASE_							:				Tuple		=[(i, _re_strip_line.search(UpperCAmelCase_				).groups()[0]) for i, line in enumerate(lines[idx:-idx]				)]
              SCREAMING_SNAKE_CASE_							:				str		=sort_objects(UpperCAmelCase_			,							key=lambda UpperCAmelCase_				: x[1]				)
              SCREAMING_SNAKE_CASE_							:				Dict		=[lines[x[0] + idx] for x in sorted_indices]
              return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]				)
       elif len(UpperCAmelCase_				) == 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:
                     SCREAMING_SNAKE_CASE_							:				Any		=_re_bracket_content.sub(_replace			,							lines[1]				)
              else:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=[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:
                            SCREAMING_SNAKE_CASE_							:				Any		=keys[:-1]
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=get_indent(lines[1]				) + ''', '''.join([f'"{k}"' for k in sort_objects(UpperCAmelCase_				)]				)
              return "\n".join(UpperCAmelCase_				)
       else:
              # Finally we have to deal with imports fitting on one line
              SCREAMING_SNAKE_CASE_							:				str		=_re_bracket_content.sub(_replace			,							UpperCAmelCase_				)
              return import_statement
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     str=True				)			->						List[Any]:
       with open(UpperCAmelCase_			,							encoding='''utf-8'''				) as f:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=f.read()

       if "_import_structure" not in code:
              return

       # Blocks of indent level 0
       SCREAMING_SNAKE_CASE_							:				str		=split_code_in_indented_blocks(
           UpperCAmelCase_			,							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(UpperCAmelCase_				) - 1				):
              # Check if the block contains some `_import_structure`s thingy to sort.
              SCREAMING_SNAKE_CASE_							:				List[str]		=main_blocks[block_idx]
              SCREAMING_SNAKE_CASE_							:				List[Any]		=block.split('''\n'''				)

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

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

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

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

       if code != "\n".join(UpperCAmelCase_				):
              if check_only:
                     return True
              else:
                     print(f'Overwriting {file}.'				)
                     with open(UpperCAmelCase_			,							'''w'''			,							encoding='''utf-8'''				) as f:
                            f.write('''\n'''.join(UpperCAmelCase_				)				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[int]=True				)			->						Optional[int]:
       SCREAMING_SNAKE_CASE_							:				str		=[]
       for root, _, files in os.walk(UpperCAmelCase_				):
              if "__init__.py" in files:
                     SCREAMING_SNAKE_CASE_							:				str		=sort_imports(os.path.join(UpperCAmelCase_			,							'''__init__.py'''				)			,							check_only=UpperCAmelCase_				)
                     if result:
                            SCREAMING_SNAKE_CASE_							:				Optional[Any]		=[os.path.join(UpperCAmelCase_			,							'''__init__.py'''				)]
       if len(UpperCAmelCase_				) > 0:
              raise ValueError(f'Would overwrite {len(UpperCAmelCase_				)} files, run `make style`.'				)


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

 sort_imports_in_all_inits(check_only=args.check_only)


from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef

import datasets


_lowercase											=    """\
@inproceedings{wang2019glue,
  title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
  author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},
  note={In the Proceedings of ICLR.},
  year={2019}
}
"""

_lowercase											=    """\
GLUE, the General Language Understanding Evaluation benchmark
(https://gluebenchmark.com/) is a collection of resources for training,
evaluating, and analyzing natural language understanding systems.
"""

_lowercase											=    """
Compute GLUE evaluation metric associated to each GLUE dataset.
Args:
    predictions: list of predictions to score.
        Each translation should be tokenized into a list of tokens.
    references: list of lists of references for each translation.
        Each reference should be tokenized into a list of tokens.
Returns: depending on the GLUE subset, one or several of:
    \"accuracy\": Accuracy
    \"f1\": F1 score
    \"pearson\": Pearson Correlation
    \"spearmanr\": Spearman Correlation
    \"matthews_correlation\": Matthew Correlation
Examples:

    >>> glue_metric = datasets.load_metric('glue', 'sst2')  # 'sst2' or any of [\"mnli\", \"mnli_mismatched\", \"mnli_matched\", \"qnli\", \"rte\", \"wnli\", \"hans\"]
    >>> references = [0, 1]
    >>> predictions = [0, 1]
    >>> results = glue_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {'accuracy': 1.0}

    >>> glue_metric = datasets.load_metric('glue', 'mrpc')  # 'mrpc' or 'qqp'
    >>> references = [0, 1]
    >>> predictions = [0, 1]
    >>> results = glue_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {'accuracy': 1.0, 'f1': 1.0}

    >>> glue_metric = datasets.load_metric('glue', 'stsb')
    >>> references = [0., 1., 2., 3., 4., 5.]
    >>> predictions = [0., 1., 2., 3., 4., 5.]
    >>> results = glue_metric.compute(predictions=predictions, references=references)
    >>> print({\"pearson\": round(results[\"pearson\"], 2), \"spearmanr\": round(results[\"spearmanr\"], 2)})
    {'pearson': 1.0, 'spearmanr': 1.0}

    >>> glue_metric = datasets.load_metric('glue', 'cola')
    >>> references = [0, 1]
    >>> predictions = [0, 1]
    >>> results = glue_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {'matthews_correlation': 1.0}
"""
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]			,							UpperCAmelCase_	:     Union[str, Any]				)			->						int:
       return float((preds == labels).mean()				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     str				)			->						Union[str, Any]:
       SCREAMING_SNAKE_CASE_							:				Tuple		=simple_accuracy(UpperCAmelCase_			,							UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=float(fa_score(y_true=UpperCAmelCase_			,							y_pred=UpperCAmelCase_				)				)
       return {
           "accuracy": acc,
           "f1": fa,
       }
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Optional[int]			,							UpperCAmelCase_	:     Dict				)			->						List[str]:
       SCREAMING_SNAKE_CASE_							:				str		=float(pearsonr(UpperCAmelCase_			,							UpperCAmelCase_				)[0]				)
       SCREAMING_SNAKE_CASE_							:				List[str]		=float(spearmanr(UpperCAmelCase_			,							UpperCAmelCase_				)[0]				)
       return {
           "pearson": pearson_corr,
           "spearmanr": spearman_corr,
       }


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


       def 	_snake_case				(    self				)						->    str:
              if self.config_name not in [
                  "sst2",
                  "mnli",
                  "mnli_mismatched",
                  "mnli_matched",
                  "cola",
                  "stsb",
                  "mrpc",
                  "qqp",
                  "qnli",
                  "rte",
                  "wnli",
                  "hans",
              ]:
                     raise KeyError(
                         '''You should supply a configuration name selected in '''
                         '''["sst2", "mnli", "mnli_mismatched", "mnli_matched", '''
                         '''"cola", "stsb", "mrpc", "qqp", "qnli", "rte", "wnli", "hans"]'''				)
              return datasets.MetricInfo(
                  description=_DESCRIPTION						,       citation=_CITATION						,       inputs_description=_KWARGS_DESCRIPTION						,       features=datasets.Features(
                      {
                          '''predictions''': datasets.Value('''int64''' if self.config_name != '''stsb''' else '''float32'''				),
                          '''references''': datasets.Value('''int64''' if self.config_name != '''stsb''' else '''float32'''				),
                      }				)						,       codebase_urls=[]						,       reference_urls=[]						,       format='''numpy'''						,       )





       def 	_snake_case				(    self						,       __A						,       __A				)						->    List[Any]:
              if self.config_name == "cola":
                     return {"matthews_correlation": matthews_corrcoef(__A						,       __A				)}
              elif self.config_name == "stsb":
                     return pearson_and_spearman(__A						,       __A				)
              elif self.config_name in ["mrpc", "qqp"]:
                     return acc_and_fa(__A						,       __A				)
              elif self.config_name in ["sst2", "mnli", "mnli_mismatched", "mnli_matched", "qnli", "rte", "wnli", "hans"]:
                     return {"accuracy": simple_accuracy(__A						,       __A				)}
              else:
                     raise KeyError(
                         '''You should supply a configuration name selected in '''
                         '''["sst2", "mnli", "mnli_mismatched", "mnli_matched", '''
                         '''"cola", "stsb", "mrpc", "qqp", "qnli", "rte", "wnli", "hans"]'''				)
