






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
SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		pytest.mark.integration


SCREAMING_SNAKE_CASE__   :      Dict				=		{"""comet"""}
SCREAMING_SNAKE_CASE__   :      Dict				=		importlib.util.find_spec("""fairseq""") is not None

SCREAMING_SNAKE_CASE__   :      Tuple				=		{"""code_eval"""}
SCREAMING_SNAKE_CASE__   :      List[Any]				=		os.name == """nt"""

SCREAMING_SNAKE_CASE__   :      Optional[int]				=		{"""bertscore""", """frugalscore""", """perplexity"""}
SCREAMING_SNAKE_CASE__   :      Dict				=		importlib.util.find_spec("""transformers""") is not None

def   __lowercase       (			snake_case			):







				"""simple docstring"""






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

				return wrapper

def   __lowercase       (			snake_case			):







				"""simple docstring"""






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

				return wrapper

def   __lowercase       (			snake_case			):







				"""simple docstring"""






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

				return wrapper

def   __lowercase       (			):







				"""simple docstring"""






				__magic_name__		:Optional[int]   =   [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     lowerCamelCase_					(   parameterized.TestCase			):
				a__       							=	{}
				a__       							=	None







				@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''  )
				@pytest.mark.filterwarnings('''ignore:load_metric is deprecated:FutureWarning'''  )
				def       A						(    self							,       __lowerCAmelCase  ):
								"""simple docstring"""
								__magic_name__		:Tuple   =   '''[...]'''
								__magic_name__		:int   =   importlib.import_module(
								    datasets.load.metric_module_factory(os.path.join('''metrics'''							,       __lowerCAmelCase  )  ).module_path  )
								__magic_name__		:Any   =   datasets.load.import_main_class(metric_module.__name__							,       dataset=__lowerCAmelCase  )
								# check parameters
								__magic_name__		:Tuple   =   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:
																				__magic_name__		:Any   =   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       A						(    self							,       __lowerCAmelCase  ):
								"""simple docstring"""
								__magic_name__		:Union[str, Any]   =   '''[...]'''
								__magic_name__		:Dict   =   importlib.import_module(
								    datasets.load.metric_module_factory(os.path.join('''metrics'''							,       __lowerCAmelCase  )  ).module_path  )
								# run doctest
								with self.use_local_metrics():
												__magic_name__		:int   =   doctest.testmod(__lowerCAmelCase							,       verbose=__lowerCAmelCase							,       raise_on_error=__lowerCAmelCase  )
								self.assertEqual(results.failed							,       0  )
								self.assertGreater(results.attempted							,       1  )







				@contextmanager
				def       A						(    self							,       __lowerCAmelCase							,       __lowerCAmelCase  ):
								"""simple docstring"""
								if metric_name in self.INTENSIVE_CALLS_PATCHER:
												with self.INTENSIVE_CALLS_PATCHER[metric_name](__lowerCAmelCase  ):
																yield
								else:
												yield







				@contextmanager
				def       A						(    self  ):
								"""simple docstring"""
								def load_local_metric(__lowerCAmelCase							,       *__lowerCAmelCase							,       **__lowerCAmelCase  ):
												return load_metric(os.path.join('''metrics'''							,       __lowerCAmelCase  )							,       *__lowerCAmelCase							,       **__lowerCAmelCase  )

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







				@classmethod
				def       A						(    cls							,       __lowerCAmelCase  ):
								"""simple docstring"""
								def wrapper(__lowerCAmelCase  ):
												__magic_name__		:Union[str, Any]   =   contextmanager(__lowerCAmelCase  )
												__magic_name__		:Dict   =   patcher
												return patcher

								return wrapper







@LocalMetricTest.register_intensive_calls_patcher('''bleurt'''			)
def   __lowercase       (			snake_case			):







				"""simple docstring"""






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

				tf.flags.DEFINE_string('''sv''',	'''''',	''''''			)  # handle pytest cli flags
				class     lowerCamelCase_					(   lowerCamelCase			):







								def       A						(    self							,       __lowerCAmelCase  ):
												"""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:
								__magic_name__		:List[Any]   =   MockedPredictor()
								yield

@LocalMetricTest.register_intensive_calls_patcher('''bertscore'''			)
def   __lowercase       (			snake_case			):







				"""simple docstring"""






				import torch

				def bert_cos_score_idf(snake_case,	snake_case,	*snake_case,	**snake_case			):
								return torch.tensor([[1.0, 1.0, 1.0]] * len(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:
								__magic_name__		:Optional[int]   =   bert_cos_score_idf
								yield

@LocalMetricTest.register_intensive_calls_patcher('''comet'''			)
def   __lowercase       (			snake_case			):







				"""simple docstring"""






				def load_from_checkpoint(snake_case			):
								class     lowerCamelCase_					:







												def       A						(    self							,       __lowerCAmelCase							,       *__lowerCAmelCase							,       **__lowerCAmelCase  ):
																"""simple docstring"""
																assert len(__lowerCAmelCase  ) == 2
																__magic_name__		:int   =   [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:
								__magic_name__		:Optional[int]   =   None
								with patch('''comet.load_from_checkpoint'''			) as mock_load_from_checkpoint:
												__magic_name__		:Any   =   load_from_checkpoint
												yield

def   __lowercase       (			):







				"""simple docstring"""






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














SCREAMING_SNAKE_CASE__   :      Tuple				=		{
    """a""": """AAAAA""",
    """b""": """AAAAB""",
    """c""": """AAABA""",
    """d""": """AAABB""",
    """e""": """AABAA""",
    """f""": """AABAB""",
    """g""": """AABBA""",
    """h""": """AABBB""",
    """i""": """ABAAA""",
    """j""": """BBBAA""",
    """k""": """ABAAB""",
    """l""": """ABABA""",
    """m""": """ABABB""",
    """n""": """ABBAA""",
    """o""": """ABBAB""",
    """p""": """ABBBA""",
    """q""": """ABBBB""",
    """r""": """BAAAA""",
    """s""": """BAAAB""",
    """t""": """BAABA""",
    """u""": """BAABB""",
    """v""": """BBBAB""",
    """w""": """BABAA""",
    """x""": """BABAB""",
    """y""": """BABBA""",
    """z""": """BABBB""",
    """ """: """ """,
}


SCREAMING_SNAKE_CASE__   :      Union[str, Any]				=		{value: key for key, value in encode_dict.items()}

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				__magic_name__		:Tuple   =   ''''''
				for letter in word.lower():
								if letter.isalpha() or letter == " ":
												encoded += encode_dict[letter]
								else:
												raise Exception('''encode() accepts only letters of the alphabet and spaces'''			)
				return encoded

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				if set(snake_case			) - {"A", "B", " "} != set():
								raise Exception('''decode() accepts only \'A\', \'B\' and spaces'''			)
				__magic_name__		:Dict   =   ''''''
				for word in coded.split():
								while len(snake_case			) != 0:
												decoded += decode_dict[word[:5]]
												__magic_name__		:int   =   word[5:]
								decoded += " "
				return decoded.strip()


if __name__ == "__main__":
					from doctest import testmod

					testmod()






