
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
lowercase__	:List[Any]										=					pytest.mark.integration


lowercase__	:Optional[Any]										=					{"comet"}
lowercase__	:Any										=					importlib.util.find_spec("fairseq") is not None

lowercase__	:Optional[Any]										=					{"code_eval"}
lowercase__	:List[str]										=					os.name == "nt"

lowercase__	:Union[str, Any]										=					{"bertscore", "frugalscore", "perplexity"}
lowercase__	:int										=					importlib.util.find_spec("transformers") is not None



def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					@wraps(SCREAMING_SNAKE_CASE_	)
					def wrapper(self				,    lowerCAmelCase__	):
										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  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					@wraps(SCREAMING_SNAKE_CASE_	)
					def wrapper(self				,    lowerCAmelCase__	):
										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  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					@wraps(SCREAMING_SNAKE_CASE_	)
					def wrapper(self				,    lowerCAmelCase__	):
										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  UpperCamelCase					(							):
					'''simple docstring'''
					lowercase					=		[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(
    _lowerCamelCase ,						_lowerCamelCase ,						_lowerCamelCase	)
@local
class        lowercase	(      parameterized.TestCase	):
							lowercase_ : Tuple       ={}
							lowercase_ : Optional[int]       =None




							@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning''')
							@pytest.mark.filterwarnings('''ignore:load_metric is deprecated:FutureWarning''')
							def 				A__   (       self     ,A__):
												lowercase					=		'''[...]'''
												lowercase					=		importlib.import_module(
												    datasets.load.metric_module_factory(os.path.join('''metrics'''     ,A__)).module_path)
												lowercase					=		datasets.load.import_main_class(metric_module.__name__     ,dataset=A__)
												# check parameters
												lowercase					=		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:
																											lowercase					=		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 				A__   (       self     ,A__):
												lowercase					=		'''[...]'''
												lowercase					=		importlib.import_module(
												    datasets.load.metric_module_factory(os.path.join('''metrics'''     ,A__)).module_path)
												# run doctest
												with self.use_local_metrics():
																	lowercase					=		doctest.testmod(A__     ,verbose=A__     ,raise_on_error=A__)
												self.assertEqual(results.failed     ,0)
												self.assertGreater(results.attempted     ,1)




							@contextmanager
							def 				A__   (       self     ,A__     ,A__):
												if metric_name in self.INTENSIVE_CALLS_PATCHER:
																	with self.INTENSIVE_CALLS_PATCHER[metric_name](A__):
																						yield
												else:
																	yield




							@contextmanager
							def 				A__   (       self):
												def load_local_metric(A__     ,*A__     ,**A__):
																	return load_metric(os.path.join('''metrics'''     ,A__)     ,*A__     ,**A__)

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





							@classmethod
							def 				A__   (       cls     ,A__):
												def wrapper(A__):
																	lowercase					=		contextmanager(A__)
																	lowercase					=		patcher
																	return patcher

												return wrapper



@LocalMetricTest.register_intensive_calls_patcher('''bleurt'''	)
def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					import tensorflow.compat.va as tf
					from bleurt.score import Predictor

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







					class        lowercase	(      _lowerCamelCase	):




												def 				A__   (       self     ,A__):
																	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:
										lowercase					=		MockedPredictor()
										yield



@LocalMetricTest.register_intensive_calls_patcher('''bertscore'''	)
def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					import torch

					def bert_cos_score_idf(lowerCAmelCase__				,    lowerCAmelCase__				,    *lowerCAmelCase__				,    **lowerCAmelCase__	):
										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:
										lowercase					=		bert_cos_score_idf
										yield



@LocalMetricTest.register_intensive_calls_patcher('''comet'''	)
def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					def load_from_checkpoint(lowerCAmelCase__	):







										class        lowercase	:




																	def 				A__   (       self     ,A__     ,*A__     ,**A__):
																						assert len(A__) == 2
																						lowercase					=		[0.19, 0.92]
																						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:
										lowercase					=		None
										with patch('''comet.load_from_checkpoint'''	) as mock_load_from_checkpoint:
															lowercase					=		load_from_checkpoint
															yield



def  UpperCamelCase					(							):
					'''simple docstring'''
					lowercase					=		load_metric(os.path.join('''metrics'''				,    '''seqeval'''	)	)
					lowercase					=		'''ERROR'''
					lowercase					=		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_	)





def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					return int((input_a, input_a).count(0	) == 0	)



def  UpperCamelCase					(							):
					'''simple docstring'''
					assert and_gate(0				,    0	) == 0
					assert and_gate(0				,    1	) == 0
					assert and_gate(1				,    0	) == 0
					assert and_gate(1				,    1	) == 1


if __name__ == "__main__":
							test_and_gate()
							print(and_gate(1, 0))
							print(and_gate(0, 0))
							print(and_gate(0, 1))
							print(and_gate(1, 1))




