

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
_UpperCAmelCase		:       Dict						    =	pytest.mark.integration


_UpperCAmelCase		:       str						    =	{"""comet"""}
_UpperCAmelCase		:       List[str]						    =	importlib.util.find_spec("""fairseq""") is not None

_UpperCAmelCase		:       str						    =	{"""code_eval"""}
_UpperCAmelCase		:       Optional[int]						    =	os.name == """nt"""

_UpperCAmelCase		:       str						    =	{"""bertscore""", """frugalscore""", """perplexity"""}
_UpperCAmelCase		:       List[str]						    =	importlib.util.find_spec("""transformers""") is not None





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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

							return wrapper





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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

							return wrapper





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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

							return wrapper





def  __lowerCamelCase     (			):







							'''simple docstring'''






							snake_case_          =   [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(
    lowercase_     ,  lowercase_     ,  lowercase_      )
@local
class 			lowercase    (	parameterized.TestCase      ):
				__SCREAMING_SNAKE_CASE :			List[str]	      =      {}
				__SCREAMING_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    a							( self				,       snake_case	):
											snake_case_          =   '[...]'
											snake_case_          =   importlib.import_module(
											    datasets.load.metric_module_factory(os.path.join('metrics'				,       snake_case	)	).module_path	)
											snake_case_          =   datasets.load.import_main_class(metric_module.__name__				,       dataset=snake_case	)
											# check parameters
											snake_case_          =   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(snake_case				,       metric_module.__name__	):
																		with self.use_local_metrics():
																									try:
																																snake_case_          =   doctest.testmod(snake_case				,       verbose=snake_case				,       raise_on_error=snake_case	)
																									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				,       snake_case	):
											snake_case_          =   '[...]'
											snake_case_          =   importlib.import_module(
											    datasets.load.metric_module_factory(os.path.join('metrics'				,       snake_case	)	).module_path	)
											# run doctest
											with self.use_local_metrics():
																		snake_case_          =   doctest.testmod(snake_case				,       verbose=snake_case				,       raise_on_error=snake_case	)
											self.assertEqual(results.failed				,       0	)
											self.assertGreater(results.attempted				,       1	)




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




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

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




				@classmethod
				def    a							( cls				,       snake_case	):
											def wrapper(snake_case	):
																		snake_case_          =   contextmanager(snake_case	)
																		snake_case_          =   patcher
																		return patcher

											return wrapper





@LocalMetricTest.register_intensive_calls_patcher('bleurt'				)
def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






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

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







							class 			lowercase    (	lowercase_      ):




											def    a							( self				,       snake_case	):
																		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_          =   MockedPredictor()
														yield





@LocalMetricTest.register_intensive_calls_patcher('bertscore'				)
def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							import torch

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

							# 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_          =   bert_cos_score_idf
														yield





@LocalMetricTest.register_intensive_calls_patcher('comet'				)
def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							def load_from_checkpoint(UpperCamelCase__				):







														class 			lowercase    :




																		def    a							( self				,       snake_case				,       *snake_case				,       **snake_case	):
																									assert len(snake_case	) == 2
																									snake_case_          =   [0.19, 0.92]
																									return scores, sum(snake_case	) / len(snake_case	)



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





def  __lowerCamelCase     (			):







							'''simple docstring'''






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







def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   1
							snake_case_          =   2
							while i * i <= n:
														snake_case_          =   0
														while n % i == 0:
																					n //= i
																					multiplicity += 1
														n_divisors *= multiplicity + 1
														i += 1
							if n > 1:
														n_divisors *= 2
							return n_divisors





def  __lowerCamelCase     (			):







							'''simple docstring'''






							snake_case_          =   1
							snake_case_          =   1

							while True:
														i += 1
														t_num += i

														if count_divisors(UpperCamelCase__				) > 500:
																					break

							return t_num


if __name__ == "__main__":
					print(solution())




