
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__							:							int									=			pytest.mark.integration


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

lowercase__							:							Union[str, Any]									=			{"code_eval"}
lowercase__							:							Dict									=			os.name == "nt"

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




def 	A_ (							snake_case							:   int )      ->    List[Any]:



						'''simple docstring'''

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

						return wrapper




def 	A_ (							snake_case							:   Tuple )      ->    int:



						'''simple docstring'''

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

						return wrapper




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



						'''simple docstring'''

						@wraps(snake_case )
						def wrapper(self							:   int ,      snake_case							:   Tuple ):
												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 	A_ (							)      ->    List[Any]:



						'''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(
    SCREAMING_SNAKE_CASE_   ,		SCREAMING_SNAKE_CASE_   ,		SCREAMING_SNAKE_CASE_    )
@local
class        SCREAMING_SNAKE_CASE__    (							parameterized.TestCase    ):

							"""simple docstring"""






							_snake_case     		=  {}
							_snake_case     		=  None



							@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''			)
							@pytest.mark.filterwarnings('''ignore:load_metric is deprecated:FutureWarning'''			)
							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_			)->   List[Any]:





													'''simple docstring'''






													__UpperCamelCase       =			'''[...]'''
													__UpperCamelCase       =			importlib.import_module(
													    datasets.load.metric_module_factory(os.path.join('''metrics'''     ,	SCREAMING_SNAKE_CASE_			)			).module_path			)
													__UpperCamelCase       =			datasets.load.import_main_class(metric_module.__name__     ,	dataset=SCREAMING_SNAKE_CASE_			)
													# 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(SCREAMING_SNAKE_CASE_     ,	metric_module.__name__			):
																			with self.use_local_metrics():
																									try:
																															__UpperCamelCase       =			doctest.testmod(SCREAMING_SNAKE_CASE_     ,	verbose=SCREAMING_SNAKE_CASE_     ,	raise_on_error=SCREAMING_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     ,	SCREAMING_SNAKE_CASE_			)->   Any:





													'''simple docstring'''






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



							@contextmanager
							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)->   List[Any]:





													'''simple docstring'''






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



							@contextmanager
							def     A__		(  self			)->   Optional[int]:





													'''simple docstring'''






													def load_local_metric(SCREAMING_SNAKE_CASE_     ,	*SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_			):
																			return load_metric(os.path.join('''metrics'''     ,	SCREAMING_SNAKE_CASE_			)     ,	*SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_			)

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



							@classmethod
							def     A__		(  cls     ,	SCREAMING_SNAKE_CASE_			)->   Any:





													'''simple docstring'''






													def wrapper(SCREAMING_SNAKE_CASE_			):
																			__UpperCamelCase       =			contextmanager(SCREAMING_SNAKE_CASE_			)
																			__UpperCamelCase       =			patcher
																			return patcher

													return wrapper





@LocalMetricTest.register_intensive_calls_patcher('''bleurt''' )
def 	A_ (							snake_case							:   Any )      ->    List[Any]:



						'''simple docstring'''

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

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






						class        SCREAMING_SNAKE_CASE__    (							SCREAMING_SNAKE_CASE_    ):

													"""simple docstring"""






													def     A__		(  self     ,	SCREAMING_SNAKE_CASE_			)->   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_ (							snake_case							:   Any )      ->    List[str]:



						'''simple docstring'''

						import torch

						def bert_cos_score_idf(snake_case							:   Union[str, Any] ,      snake_case							:   Dict ,      *snake_case							:   List[str] ,      **snake_case							:   Optional[int] ):
												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:
												__UpperCamelCase       =			bert_cos_score_idf
												yield




@LocalMetricTest.register_intensive_calls_patcher('''comet''' )
def 	A_ (							snake_case							:   int )      ->    Union[str, Any]:



						'''simple docstring'''

						def load_from_checkpoint(snake_case							:   Union[str, Any] ):






												class        SCREAMING_SNAKE_CASE__    :

																			"""simple docstring"""






																			def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	*SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_			)->   int:





																									'''simple docstring'''






																									assert len(SCREAMING_SNAKE_CASE_			) == 2
																									__UpperCamelCase       =			[0.1_9, 0.9_2]
																									return scores, sum(SCREAMING_SNAKE_CASE_			) / len(SCREAMING_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:
												__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(snake_case ,      match=re.escape(snake_case ) ):
												metric.compute(predictions=[] ,      references=[] ,      scheme=snake_case )






from collections import Counter
from timeit import timeit




def 	A_ (							snake_case							:   str = "" ,      )      ->    bool:



						'''simple docstring'''

						return sum(c % 2 for c in Counter(input_str.replace(''' ''' ,      '''''' ).lower() ).values() ) < 2




def 	A_ (							snake_case							:   str = "" )      ->    bool:



						'''simple docstring'''

						if len(snake_case ) == 0:
												return True
						__UpperCamelCase       =			input_str.replace(''' ''' ,      '''''' ).lower()
						# character_freq_dict: Stores the frequency of every character in the input string
						__UpperCamelCase       =			{}

						for character in lower_case_input_str:
												__UpperCamelCase       =			character_freq_dict.get(snake_case ,      0 ) + 1
						__UpperCamelCase       =			0

						for character_count in character_freq_dict.values():
												if character_count % 2:
																		odd_char += 1
						if odd_char > 1:
												return False
						return True




def 	A_ (							snake_case							:   str = "" )      ->    None:



						'''simple docstring'''

						print('''\nFor string = ''' ,      snake_case ,      ''':''' )
						print(
						    '''> can_string_be_rearranged_as_palindrome_counter()''' ,      '''\tans =''' ,      can_string_be_rearranged_as_palindrome_counter(snake_case ) ,      '''\ttime =''' ,      timeit(
						        '''z.can_string_be_rearranged_as_palindrome_counter(z.check_str)''' ,      setup='''import __main__ as z''' ,      ) ,      '''seconds''' ,      )
						print(
						    '''> can_string_be_rearranged_as_palindrome()''' ,      '''\tans =''' ,      can_string_be_rearranged_as_palindrome(snake_case ) ,      '''\ttime =''' ,      timeit(
						        '''z.can_string_be_rearranged_as_palindrome(z.check_str)''' ,      setup='''import __main__ as z''' ,      ) ,      '''seconds''' ,      )


if __name__ == "__main__":
				lowercase__							:							Tuple									=			input(
				    "Enter string to determine if it can be rearranged as a palindrome or not: "
				).strip()
				benchmark(check_str)
				lowercase__							:							Dict									=			can_string_be_rearranged_as_palindrome_counter(check_str)
				print(F"{check_str} can {'' if status else 'not '}be rearranged as a palindrome")




