


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
__snake_case   							=						pytest.mark.integration


__snake_case   							=						{'''comet'''}
__snake_case   							=						importlib.util.find_spec('''fairseq''') is not None

__snake_case   							=						{'''code_eval'''}
__snake_case   							=						os.name == '''nt'''

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






def 		_A		(		_lowercase )					-> Optional[Any]:


     """simple docstring"""


     @wraps(_lowercase )
     def wrapper(self					,  _lowercase ):
          if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
               self.skipTest('"test requires Fairseq"' )
          else:
               test_case(self					,  _lowercase )

     return wrapper






def 		_A		(		_lowercase )					-> List[str]:


     """simple docstring"""


     @wraps(_lowercase )
     def wrapper(self					,  _lowercase ):
          if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
               self.skipTest('"test requires transformers"' )
          else:
               test_case(self					,  _lowercase )

     return wrapper






def 		_A		(		_lowercase )					-> List[str]:


     """simple docstring"""


     @wraps(_lowercase )
     def wrapper(self					,  _lowercase ):
          if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
               self.skipTest('"test not supported on Windows"' )
          else:
               test_case(self					,  _lowercase )

     return wrapper






def 		_A		(		)					-> List[str]:


     """simple docstring"""


     __UpperCamelCase =			[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(
    _a				,      _a				,      _a						)
@local
class 	__lowerCamelCase			(parameterized.TestCase						):
       _lowercase											=     {}
       _lowercase											=     None







       @pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning'					)
       @pytest.mark.filterwarnings('ignore:load_metric is deprecated:FutureWarning'					)
       def 		snake_case_	(			self: int,A_: List[Any]					):






            '''simple docstring'''




            __UpperCamelCase =			'[...]'
            __UpperCamelCase =			importlib.import_module(
                datasets.load.metric_module_factory(os.path.join('metrics',A_					)					).module_path					)
            __UpperCamelCase =			datasets.load.import_main_class(metric_module.__name__,dataset=A_					)
            # check parameters
            __UpperCamelCase =			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(A_,metric_module.__name__					):
                 with self.use_local_metrics():
                      try:
                           __UpperCamelCase =			doctest.testmod(A_,verbose=A_,raise_on_error=A_					)
                      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 		snake_case_	(			self: Optional[Any],A_: List[str]					):






            '''simple docstring'''




            __UpperCamelCase =			'[...]'
            __UpperCamelCase =			importlib.import_module(
                datasets.load.metric_module_factory(os.path.join('metrics',A_					)					).module_path					)
            # run doctest
            with self.use_local_metrics():
                 __UpperCamelCase =			doctest.testmod(A_,verbose=A_,raise_on_error=A_					)
            self.assertEqual(results.failed,0					)
            self.assertGreater(results.attempted,1					)







       @contextmanager
       def 		snake_case_	(			self: Dict,A_: Optional[Any],A_: Any					):






            '''simple docstring'''




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







       @contextmanager
       def 		snake_case_	(			self: Tuple					):






            '''simple docstring'''




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

            with patch('datasets.load_metric'					) as mock_load_metric:
                 __UpperCamelCase =			load_local_metric
                 yield







       @classmethod
       def 		snake_case_	(			cls: Any,A_: str					):






            '''simple docstring'''




            def wrapper(A_: Optional[Any]					):
                 __UpperCamelCase =			contextmanager(A_					)
                 __UpperCamelCase =			patcher
                 return patcher

            return wrapper






@LocalMetricTest.register_intensive_calls_patcher('bleurt' )
def 		_A		(		_lowercase )					-> Optional[Any]:


     """simple docstring"""


     import tensorflow.compat.va as tf
     from bleurt.score import Predictor

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



     class 	__lowerCamelCase			(_a						):







            def 		snake_case_	(			self: List[str],A_: List[Any]					):






                 '''simple docstring'''




                 assert len(input_dict['input_ids']					) == 2
                 return np.array([1.0_3, 1.0_4]					)

    # 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:
          __UpperCamelCase =			MockedPredictor()
          yield






@LocalMetricTest.register_intensive_calls_patcher('bertscore' )
def 		_A		(		_lowercase )					-> Union[str, Any]:


     """simple docstring"""


     import torch

     def bert_cos_score_idf(_lowercase					,  _lowercase					,  *_lowercase					,  **_lowercase ):
          return torch.tensor([[1.0, 1.0, 1.0]] * len(_lowercase ) )

     # 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:
          __UpperCamelCase =			bert_cos_score_idf
          yield






@LocalMetricTest.register_intensive_calls_patcher('comet' )
def 		_A		(		_lowercase )					-> Optional[Any]:


     """simple docstring"""


     def load_from_checkpoint(_lowercase ):



          class 	__lowerCamelCase			:







                 def 		snake_case_	(			self: Optional[int],A_: int,*A_: Optional[int],**A_: List[str]					):






                      '''simple docstring'''




                      assert len(A_					) == 2
                      __UpperCamelCase =			[0.1_9, 0.9_2]
                      return scores, sum(A_					) / len(A_					)



          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:
          __UpperCamelCase =			None
          with patch('comet.load_from_checkpoint' ) as mock_load_from_checkpoint:
               __UpperCamelCase =			load_from_checkpoint
               yield






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


     """simple docstring"""


     __UpperCamelCase =			load_metric(os.path.join('metrics'					,  'seqeval' ) )
     __UpperCamelCase =			'ERROR'
     __UpperCamelCase =			f'''Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}'''
     with pytest.raises(_lowercase					,  match=re.escape(_lowercase ) ):
          metric.compute(predictions=[]					,  references=[]					,  scheme=_lowercase )






import pytest

import datasets


# Import fixture modules as plugins
__snake_case   							=						['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']






def 		_A		(		_lowercase					,  _lowercase )					-> Tuple:


     """simple docstring"""


     for item in items:
          if any(marker in item.keywords for marker in ['integration', 'unit'] ):
               continue
          item.add_marker(pytest.mark.unit )






def 		_A		(		_lowercase )					-> str:


     """simple docstring"""


     config.addinivalue_line('markers'					,  'torchaudio_latest: mark test to run with torchaudio>=0.12' )






@pytest.fixture(autouse=_lowercase )
def 		_A		(		_lowercase					,  _lowercase )					-> Any:


     """simple docstring"""


     __UpperCamelCase =			tmp_path_factory.getbasetemp() / 'cache'
     __UpperCamelCase =			test_hf_cache_home / 'datasets'
     __UpperCamelCase =			test_hf_cache_home / 'metrics'
     __UpperCamelCase =			test_hf_cache_home / 'modules'
     monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'					,  str(_lowercase ) )
     monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'					,  str(_lowercase ) )
     monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'					,  str(_lowercase ) )
     __UpperCamelCase =			test_hf_datasets_cache / 'downloads'
     monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'					,  str(_lowercase ) )
     __UpperCamelCase =			test_hf_datasets_cache / 'downloads' / 'extracted'
     monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'					,  str(_lowercase ) )






@pytest.fixture(autouse=_lowercase					,  scope='session' )
def 		_A		(		)					-> Dict:


     """simple docstring"""


     datasets.disable_progress_bar()






@pytest.fixture(autouse=_lowercase )
def 		_A		(		_lowercase )					-> Tuple:


     """simple docstring"""


     monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'					,  _lowercase )






@pytest.fixture
def 		_A		(		_lowercase )					-> Any:


     """simple docstring"""


     monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'					,  _lowercase )


