


'''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
__lowercase     :						Optional[int]	=     pytest.mark.integration


__lowercase     :						Dict	=     {'comet'}
__lowercase     :						Optional[int]	=     importlib.util.find_spec('fairseq') is not None

__lowercase     :						Tuple	=     {'code_eval'}
__lowercase     :						Tuple	=     os.name == 'nt'

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






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       List[Any]       ):
					@wraps(_SCREAMING_SNAKE_CASE       )
					def wrapper(self				:       int						,				_SCREAMING_SNAKE_CASE				:       Any       ):
										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   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       Optional[Any]       ):
					@wraps(_SCREAMING_SNAKE_CASE       )
					def wrapper(self				:       str						,				_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   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       str       ):
					@wraps(_SCREAMING_SNAKE_CASE       )
					def wrapper(self				:       Optional[int]						,				_SCREAMING_SNAKE_CASE				:       Tuple       ):
										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   lowerCamelCase							():
					__a      :	Union[str, 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(
    lowerCAmelCase_		,				lowerCAmelCase_		,				lowerCAmelCase_ )
@local
class 							__UpperCamelCase    (		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 				__UpperCAmelCase							(       self						,    __a							):

						'''simple docstring'''





						__a      :	List[Any]    =  '[...]'
						__a      :	Dict    =  importlib.import_module(
						    datasets.load.metric_module_factory(os.path.join('metrics'						,    __a							)							).module_path							)
						__a      :	Union[str, Any]    =  datasets.load.import_main_class(metric_module.__name__						,    dataset=__a							)
						# check parameters
						__a      :	Optional[int]    =  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:
																					__a      :	Optional[Any]    =  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 				__UpperCAmelCase							(       self						,    __a							):

						'''simple docstring'''





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




	@contextmanager
	def 				__UpperCAmelCase							(       self						,    __a						,    __a							):

						'''simple docstring'''





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




	@contextmanager
	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						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:
											__a      :	int    =  load_local_metric
											yield





	@classmethod
	def 				__UpperCAmelCase							(       cls						,    __a							):

						'''simple docstring'''





						def wrapper(__a							):
											__a      :	Union[str, Any]    =  contextmanager(__a							)
											__a      :	int    =  patcher
											return patcher

						return wrapper






@LocalMetricTest.register_intensive_calls_patcher('bleurt'       )
def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int       ):
					import tensorflow.compat.va as tf
					from bleurt.score import Predictor

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





					class 							__UpperCamelCase    (		lowerCAmelCase_ ):




						def 				__UpperCAmelCase							(       self						,    __a							):

											'''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:
										__a      :	List[str]    =  MockedPredictor()
										yield






@LocalMetricTest.register_intensive_calls_patcher('bertscore'       )
def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int       ):
					import torch

					def bert_cos_score_idf(_SCREAMING_SNAKE_CASE				:       List[str]						,				_SCREAMING_SNAKE_CASE				:       List[Any]						,				*_SCREAMING_SNAKE_CASE				:       Union[str, Any]						,				**_SCREAMING_SNAKE_CASE				:       Dict       ):
										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:
										__a      :	Dict    =  bert_cos_score_idf
										yield






@LocalMetricTest.register_intensive_calls_patcher('comet'       )
def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       List[str]       ):
					def load_from_checkpoint(_SCREAMING_SNAKE_CASE				:       Optional[int]       ):





										class 							__UpperCamelCase    :




											def 				__UpperCAmelCase							(       self						,    __a						,    *__a						,    **__a							):

																'''simple docstring'''





																assert len(__a							) == 2
																__a      :	Optional[int]    =  [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:
										__a      :	Optional[Any]    =  None
										with patch('comet.load_from_checkpoint'       ) as mock_load_from_checkpoint:
															__a      :	Optional[int]    =  load_from_checkpoint
															yield






def   lowerCamelCase							():
					__a      :	int    =  load_metric(os.path.join('metrics'						,				'seqeval'       )       )
					__a      :	Tuple    =  'ERROR'
					__a      :	List[str]    =  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       )







'''simple docstring'''



__lowercase     :						Optional[Any]	=     {'a': ['c', 'b'], 'b': ['d', 'e'], 'c': [], 'd': [], 'e': []}
__lowercase     :						List[str]	=     ['a', 'b', 'c', 'd', 'e']






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       List[Any]						,				_SCREAMING_SNAKE_CASE				:       Any						,				_SCREAMING_SNAKE_CASE				:       List[str]       ):
					__a      :	Any    =  start
					# add current to visited
					visited.append(_SCREAMING_SNAKE_CASE       )
					__a      :	Union[str, Any]    =  edges[current]
					for neighbor in neighbors:
										# if neighbor not in visited, visit
										if neighbor not in visited:
															__a      :	Dict    =  topological_sort(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )
    # if all neighbors visited add current to sort
					sort.append(_SCREAMING_SNAKE_CASE       )
					# if all vertices haven't been visited select a new one to visit
					if len(_SCREAMING_SNAKE_CASE       ) != len(_SCREAMING_SNAKE_CASE       ):
										for vertice in vertices:
															if vertice not in visited:
																				__a      :	List[Any]    =  topological_sort(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )
    # return sort
					return sort


if __name__ == "__main__":
	__lowercase     :						Union[str, Any]	=     topological_sort('a', [], [])
	print(sort)



