



'''simple docstring'''





import doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch

import numpy as np
import pytest
from absl.testing import parameterized

import datasets
from datasets import load_metric

from .utils import for_all_test_methods, local, slow


# mark all tests as integration
a__    =	pytest.mark.integration


a__    =	{"""comet"""}
a__    =	importlib.util.find_spec("""fairseq""") is not None

a__    =	{"""code_eval"""}
a__    =	os.name == """nt"""

a__    =	{"""bertscore""", """frugalscore""", """perplexity"""}
a__    =	importlib.util.find_spec("""transformers""") is not None



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Any				)  ->     int:
 @wraps(SCREAMING_SNAKE_CASE__				)
 def wrapper(self       :	Any				,       SCREAMING_SNAKE_CASE__       :	int				):
  if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
   self.skipTest("""\"test requires Fairseq\""""				)
  else:
   test_case(self				,       SCREAMING_SNAKE_CASE__				)

 return wrapper



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Union[str, Any]				)  ->     int:
 @wraps(SCREAMING_SNAKE_CASE__				)
 def wrapper(self       :	Tuple				,       SCREAMING_SNAKE_CASE__       :	Union[str, Any]				):
  if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
   self.skipTest("""\"test requires transformers\""""				)
  else:
   test_case(self				,       SCREAMING_SNAKE_CASE__				)

 return wrapper



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Dict				)  ->     List[Any]:
 @wraps(SCREAMING_SNAKE_CASE__				)
 def wrapper(self       :	str				,       SCREAMING_SNAKE_CASE__       :	str				):
  if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
   self.skipTest("""\"test not supported on Windows\""""				)
  else:
   test_case(self				,       SCREAMING_SNAKE_CASE__				)

 return wrapper



def       lowercase       (   )  ->     List[Any]:
 _snake_case    :  Optional[Any]					=					[metric_dir.split(os.sep				)[-2] for metric_dir in glob.glob("""./metrics/*/"""				)]
 return [{"testcase_name": x, "metric_name": x} for x in metrics if x != "gleu"]  # gleu is unfinished







@parameterized.named_parameters(get_local_metric_names()  )
@for_all_test_methods(
    SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_  )
@local
class 		snake_case						(	parameterized.TestCase  ):



   '''simple docstring'''






   snake_case_					: Dict          =		{}
   snake_case_					: Union[str, Any]          =		None

   @pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning""")
   @pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning""")
   def      UpperCamelCase_  (					self							:			Any				,		lowerCAmelCase							:			str)				->				Union[str, Any]:

    """simple docstring"""







    _snake_case    :  int					=					"""[...]"""
    _snake_case    :  Optional[Any]					=					importlib.import_module(
        datasets.load.metric_module_factory(os.path.join("""metrics"""				,		lowerCAmelCase)).module_path)
    _snake_case    :  str					=					datasets.load.import_main_class(metric_module.__name__				,		dataset=lowerCAmelCase)
    # check parameters
    _snake_case    :  List[Any]					=					inspect.signature(metric._compute).parameters
    self.assertTrue(all(p.kind != p.VAR_KEYWORD for p in parameters.values()))  # no **kwargs
    # run doctest
    with self.patch_intensive_calls(lowerCAmelCase				,		metric_module.__name__):
     with self.use_local_metrics():
      try:
       _snake_case    :  str					=					doctest.testmod(lowerCAmelCase				,		verbose=lowerCAmelCase				,		raise_on_error=lowerCAmelCase)
      except doctest.UnexpectedException as e:
       raise e.exc_info[1]  # raise the exception that doctest caught
    self.assertEqual(results.failed				,		0)
    self.assertGreater(results.attempted				,		1)

   @slow
   def      UpperCamelCase_  (					self							:			int				,		lowerCAmelCase							:			Dict)				->				Union[str, Any]:

    """simple docstring"""







    _snake_case    :  List[str]					=					"""[...]"""
    _snake_case    :  int					=					importlib.import_module(
        datasets.load.metric_module_factory(os.path.join("""metrics"""				,		lowerCAmelCase)).module_path)
    # run doctest
    with self.use_local_metrics():
     _snake_case    :  List[str]					=					doctest.testmod(lowerCAmelCase				,		verbose=lowerCAmelCase				,		raise_on_error=lowerCAmelCase)
    self.assertEqual(results.failed				,		0)
    self.assertGreater(results.attempted				,		1)

   @contextmanager
   def      UpperCamelCase_  (					self							:			Union[str, Any]				,		lowerCAmelCase							:			Optional[int]				,		lowerCAmelCase							:			Tuple)				->				Any:

    """simple docstring"""







    if metric_name in self.INTENSIVE_CALLS_PATCHER:
     with self.INTENSIVE_CALLS_PATCHER[metric_name](lowerCAmelCase):
      yield
    else:
     yield

   @contextmanager
   def      UpperCamelCase_  (					self							:			List[Any])				->				Optional[int]:

    """simple docstring"""







    def load_local_metric(lowerCAmelCase							:			List[str]				,		*lowerCAmelCase							:			str				,		**lowerCAmelCase							:			List[Any]):
     return load_metric(os.path.join("""metrics"""				,		lowerCAmelCase)				,		*lowerCAmelCase				,		**lowerCAmelCase)

    with patch("""datasets.load_metric""") as mock_load_metric:
     _snake_case    :  List[Any]					=					load_local_metric
     yield


   @classmethod
   def      UpperCamelCase_  (					cls							:			Dict				,		lowerCAmelCase							:			List[str])				->				Union[str, Any]:

    """simple docstring"""







    def wrapper(lowerCAmelCase							:			Optional[int]):
     _snake_case    :  List[str]					=					contextmanager(lowerCAmelCase)
     _snake_case    :  int					=					patcher
     return patcher

    return wrapper



@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""				)
def       lowercase       (   SCREAMING_SNAKE_CASE__       :	List[Any]				)  ->     List[Any]:
 import tensorflow.compat.va as tf
 from bleurt.score import Predictor

 tf.flags.DEFINE_string("""sv"""				,       """"""				,       """"""				)  # handle pytest cli flags







 class 		snake_case						(	SCREAMING_SNAKE_CASE_  ):



    '''simple docstring'''






    def      UpperCamelCase_  (					self							:			Tuple				,		lowerCAmelCase							:			Any)				->				Optional[Any]:

     """simple docstring"""







     assert len(input_dict["""input_ids"""]) == 2
     return np.array([1.03, 1.04])

    # mock predict_fn which is supposed to do a forward pass with a bleurt model
 with patch("""bleurt.score._create_predictor"""				) as mock_create_predictor:
  _snake_case    :  Dict					=					MockedPredictor()
  yield



@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""				)
def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Optional[int]				)  ->     Optional[int]:
 import torch

 def bert_cos_score_idf(SCREAMING_SNAKE_CASE__       :	Optional[int]				,       SCREAMING_SNAKE_CASE__       :	Any				,       *SCREAMING_SNAKE_CASE__       :	str				,       **SCREAMING_SNAKE_CASE__       :	Union[str, Any]				):
  return torch.tensor([[1.0, 1.0, 1.0]] * len(SCREAMING_SNAKE_CASE__				)				)

 # mock get_model which is supposed to do download a bert model
 # mock bert_cos_score_idf which is supposed to do a forward pass with a bert model
 with patch("""bert_score.scorer.get_model"""				), patch(
     """bert_score.scorer.bert_cos_score_idf"""				) as mock_bert_cos_score_idf:
  _snake_case    :  Any					=					bert_cos_score_idf
  yield



@LocalMetricTest.register_intensive_calls_patcher("""comet"""				)
def       lowercase       (   SCREAMING_SNAKE_CASE__       :	List[str]				)  ->     str:
 def load_from_checkpoint(SCREAMING_SNAKE_CASE__       :	int				):







  class 		snake_case						:



     '''simple docstring'''






     def      UpperCamelCase_  (					self							:			int				,		lowerCAmelCase							:			int				,		*lowerCAmelCase							:			Tuple				,		**lowerCAmelCase							:			Any)				->				Dict:

      """simple docstring"""







      assert len(lowerCAmelCase) == 2
      _snake_case    :  Any					=					[0.19, 0.92]
      return scores, sum(lowerCAmelCase) / len(lowerCAmelCase)
  return Model()

 # mock load_from_checkpoint which is supposed to do download a bert model
 # mock load_from_checkpoint which is supposed to do download a bert model
 with patch("""comet.download_model"""				) as mock_download_model:
  _snake_case    :  Dict					=					None
  with patch("""comet.load_from_checkpoint"""				) as mock_load_from_checkpoint:
   _snake_case    :  Any					=					load_from_checkpoint
   yield



def       lowercase       (   )  ->     List[Any]:
 _snake_case    :  Optional[int]					=					load_metric(os.path.join("""metrics"""				,       """seqeval"""				)				)
 _snake_case    :  Optional[int]					=					"""ERROR"""
 _snake_case    :  Dict					=					F'''Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}'''
 with pytest.raises(SCREAMING_SNAKE_CASE__				,       match=re.escape(SCREAMING_SNAKE_CASE__				)				):
  metric.compute(predictions=[]				,       references=[]				,       scheme=SCREAMING_SNAKE_CASE__				)





import argparse
import os
import re


a__    =	"""src/transformers/models/auto"""


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
a__    =	re.compile(R"""[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict""")
# re pattern that matches identifiers in mappings
a__    =	re.compile(R"""\s*\(\s*\"(\S[^\"]+)\"""")



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	bool = False				)  ->     Optional[Any]:
 with open(SCREAMING_SNAKE_CASE__				,       """r"""				,       encoding="""utf-8"""				) as f:
  _snake_case    :  int					=					f.read()

 _snake_case    :  str					=					content.split("""\n"""				)
 _snake_case    :  List[str]					=					[]
 _snake_case    :  int					=					0
 while line_idx < len(SCREAMING_SNAKE_CASE__				):
  if _re_intro_mapping.search(lines[line_idx]				) is not None:
   _snake_case    :  Union[str, Any]					=					len(re.search(R"""^(\s*)\S"""				,       lines[line_idx]				).groups()[0]				) + 8
   # Start of a new mapping!
   while not lines[line_idx].startswith(""" """ * indent + """("""				):
    new_lines.append(lines[line_idx]				)
    line_idx += 1

   _snake_case    :  int					=					[]
   while lines[line_idx].strip() != "]":
    # Blocks either fit in one line or not
    if lines[line_idx].strip() == "(":
     _snake_case    :  Optional[Any]					=					line_idx
     while not lines[line_idx].startswith(""" """ * indent + """)"""				):
      line_idx += 1
     blocks.append("""\n""".join(lines[start_idx : line_idx + 1]				)				)
    else:
     blocks.append(lines[line_idx]				)
    line_idx += 1

   # Sort blocks by their identifiers
   _snake_case    :  int					=					sorted(SCREAMING_SNAKE_CASE__				,       key=lambda SCREAMING_SNAKE_CASE__				: _re_identifier.search(SCREAMING_SNAKE_CASE__				).groups()[0]				)
   new_lines += blocks
  else:
   new_lines.append(lines[line_idx]				)
   line_idx += 1

 if overwrite:
  with open(SCREAMING_SNAKE_CASE__				,       """w"""				,       encoding="""utf-8"""				) as f:
   f.write("""\n""".join(SCREAMING_SNAKE_CASE__				)				)
 elif "\n".join(SCREAMING_SNAKE_CASE__				) != content:
  return True



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	bool = False				)  ->     int:
 _snake_case    :  List[Any]					=					[os.path.join(SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				) for f in os.listdir(SCREAMING_SNAKE_CASE__				) if f.endswith(""".py"""				)]
 _snake_case    :  str					=					[sort_auto_mapping(SCREAMING_SNAKE_CASE__				,       overwrite=SCREAMING_SNAKE_CASE__				) for fname in fnames]

 if not overwrite and any(SCREAMING_SNAKE_CASE__				):
  _snake_case    :  List[Any]					=					[f for f, d in zip(SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				) if d]
  raise ValueError(
      F'''The following files have auto mappings that need sorting: {', '.join(SCREAMING_SNAKE_CASE__				)}. Run `make style` to fix'''
      """ this."""				)


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

  sort_all_auto_mappings(not args.check_only)
