


"""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
UpperCAmelCase    :     List[Any]   						=		pytest.mark.integration


UpperCAmelCase    :     List[Any]   						=		{'comet'}
UpperCAmelCase    :     Dict   						=		importlib.util.find_spec('fairseq') is not None

UpperCAmelCase    :     Optional[Any]   						=		{'code_eval'}
UpperCAmelCase    :     str   						=		os.name == 'nt'

UpperCAmelCase    :     str   						=		{'bertscore', 'frugalscore', 'perplexity'}
UpperCAmelCase    :     Tuple   						=		importlib.util.find_spec('transformers') is not None
def      lowerCamelCase       (     _UpperCamelCase		:      Union[str, Any]							)		->       List[str]:

							'''simple docstring'''



							@wraps(_UpperCamelCase							)
							def wrapper(self		:      Any       ,			_UpperCamelCase		:      List[Any]							):
														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		:      Union[str, Any]							)		->       Union[str, Any]:

							'''simple docstring'''



							@wraps(_UpperCamelCase							)
							def wrapper(self		:      Tuple       ,			_UpperCamelCase		:      Any							):
														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		:      Tuple							)		->       Optional[int]:

							'''simple docstring'''



							@wraps(_UpperCamelCase							)
							def wrapper(self		:      List[Any]       ,			_UpperCamelCase		:      Any							):
														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       (     )		->       str:

							'''simple docstring'''



							__UpperCAmelCase   :						Tuple      							=					[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(
    A     ,    A     ,    A				)
@local
class      lowerCamelCase__   (     parameterized.TestCase				):







					"""simple docstring"""


					__a	       =							{}
					__a	       =							None






					@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""  )
					@pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning"""  )
					def lowerCamelCase__							(       self    : Union[str, Any] ,       UpperCamelCase    : Tuple  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					"""[...]"""
												__UpperCAmelCase   :						Any      							=					importlib.import_module(
												    datasets.load.metric_module_factory(os.path.join("""metrics""" ,       UpperCamelCase  )  ).module_path  )
												__UpperCAmelCase   :						Union[str, Any]      							=					datasets.load.import_main_class(metric_module.__name__ ,       dataset=UpperCamelCase  )
												# check parameters
												__UpperCAmelCase   :						List[str]      							=					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(UpperCamelCase ,       metric_module.__name__  ):
																			with self.use_local_metrics():
																										try:
																																	__UpperCAmelCase   :						List[Any]      							=					doctest.testmod(UpperCamelCase ,       verbose=UpperCamelCase ,       raise_on_error=UpperCamelCase  )
																										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 lowerCamelCase__							(       self    : str ,       UpperCamelCase    : List[str]  ):
												'''simple docstring'''






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






					@contextmanager
					def lowerCamelCase__							(       self    : Union[str, Any] ,       UpperCamelCase    : List[Any] ,       UpperCamelCase    : Dict  ):
												'''simple docstring'''






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






					@contextmanager
					def lowerCamelCase__							(       self    : int  ):
												'''simple docstring'''






												def load_local_metric(UpperCamelCase    : Optional[Any] ,       *UpperCamelCase    : str ,       **UpperCamelCase    : int  ):
																			return load_metric(os.path.join("""metrics""" ,       UpperCamelCase  ) ,       *UpperCamelCase ,       **UpperCamelCase  )

												with patch("""datasets.load_metric"""  ) as mock_load_metric:
																			__UpperCAmelCase   :						int      							=					load_local_metric
																			yield






					@classmethod
					def lowerCamelCase__							(       cls    : Optional[Any] ,       UpperCamelCase    : Tuple  ):
												'''simple docstring'''






												def wrapper(UpperCamelCase    : List[str]  ):
																			__UpperCAmelCase   :						Tuple      							=					contextmanager(UpperCamelCase  )
																			__UpperCAmelCase   :						str      							=					patcher
																			return patcher

												return wrapper






@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""							)
def      lowerCamelCase       (     _UpperCamelCase		:      List[Any]							)		->       Tuple:

							'''simple docstring'''



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

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





							class      lowerCamelCase__   (     A				):







												"""simple docstring"""


												def lowerCamelCase__							(       self    : List[str] ,       UpperCamelCase    : Tuple  ):
																			'''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:
														__UpperCAmelCase   :						Union[str, Any]      							=					MockedPredictor()
														yield
@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""							)
def      lowerCamelCase       (     _UpperCamelCase		:      Dict							)		->       Optional[Any]:

							'''simple docstring'''



							import torch

							def bert_cos_score_idf(_UpperCamelCase		:      int       ,			_UpperCamelCase		:      Tuple       ,			*_UpperCamelCase		:      List[str]       ,			**_UpperCamelCase		:      int							):
														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:
														__UpperCAmelCase   :						Optional[Any]      							=					bert_cos_score_idf
														yield
@LocalMetricTest.register_intensive_calls_patcher("""comet"""							)
def      lowerCamelCase       (     _UpperCamelCase		:      Optional[int]							)		->       Dict:

							'''simple docstring'''



							def load_from_checkpoint(_UpperCamelCase		:      Optional[Any]							):





														class      lowerCamelCase__   :







																			"""simple docstring"""


																			def lowerCamelCase__							(       self    : Optional[int] ,       UpperCamelCase    : List[Any] ,       *UpperCamelCase    : Any ,       **UpperCamelCase    : Tuple  ):
																										'''simple docstring'''






																										assert len(UpperCamelCase  ) == 2
																										__UpperCAmelCase   :						List[Any]      							=					[0.19, 0.92]
																										return scores, sum(UpperCamelCase  ) / len(UpperCamelCase  )






														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   :						Dict      							=					None
														with patch("""comet.load_from_checkpoint"""							) as mock_load_from_checkpoint:
																					__UpperCAmelCase   :						Optional[int]      							=					load_from_checkpoint
																					yield
def      lowerCamelCase       (     )		->       str:

							'''simple docstring'''



							__UpperCAmelCase   :						Any      							=					load_metric(os.path.join("""metrics"""       ,			"""seqeval"""							)							)
							__UpperCAmelCase   :						Any      							=					"""ERROR"""
							__UpperCAmelCase   :						Tuple      							=					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							)




"""simple docstring"""






import numpy as np

UpperCAmelCase    :     Optional[Any]   						=		[
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]





class      lowerCamelCase__   :







					"""simple docstring"""


					def __init__(       self    : Union[str, Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[Any]      							=					np.array(UpperCamelCase  )






					def lowerCamelCase__							(       self    : int ,       UpperCamelCase    : str  ):
												'''simple docstring'''






												__UpperCAmelCase							,__UpperCAmelCase   :						Optional[Any]      							=					np.where(letter == self.SQUARE  )
												__UpperCAmelCase   :						Optional[Any]      							=					np.concatenate([indexa + 1, indexa + 1]  )
												return indexes






					def lowerCamelCase__							(       self    : Any ,       UpperCamelCase    : int ,       UpperCamelCase    : int  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					self.SQUARE[indexa - 1, indexa - 1]
												return letter






					def lowerCamelCase__							(       self    : Optional[int] ,       UpperCamelCase    : str  ):
												'''simple docstring'''






												__UpperCAmelCase   :						str      							=					message.lower()
												__UpperCAmelCase   :						List[Any]      							=					message.replace(""" """ ,       """"""  )
												__UpperCAmelCase   :						List[Any]      							=					message.replace("""j""" ,       """i"""  )

												__UpperCAmelCase   :						Optional[int]      							=					np.empty((2, len(UpperCamelCase  ))  )
												for letter_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						List[Any]      							=					self.letter_to_numbers(message[letter_index]  )

																			__UpperCAmelCase   :						str      							=					numbers[0]
																			__UpperCAmelCase   :						int      							=					numbers[1]

												__UpperCAmelCase   :						Union[str, Any]      							=					first_step.reshape(2 * len(UpperCamelCase  )  )
												__UpperCAmelCase   :						Optional[Any]      							=					""""""
												for numbers_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						Any      							=					int(second_step[numbers_index * 2]  )
																			__UpperCAmelCase   :						Any      							=					int(second_step[(numbers_index * 2) + 1]  )
																			__UpperCAmelCase   :						str      							=					self.numbers_to_letter(UpperCamelCase ,       UpperCamelCase  )
																			__UpperCAmelCase   :						Optional[Any]      							=					encoded_message + letter

												return encoded_message






					def lowerCamelCase__							(       self    : Optional[int] ,       UpperCamelCase    : str  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Any      							=					message.lower()
												message.replace(""" """ ,       """"""  )
												__UpperCAmelCase   :						int      							=					np.empty(2 * len(UpperCamelCase  )  )
												for letter_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						Any      							=					self.letter_to_numbers(message[letter_index]  )
																			__UpperCAmelCase   :						Any      							=					numbers[0]
																			__UpperCAmelCase   :						Dict      							=					numbers[1]

												__UpperCAmelCase   :						str      							=					first_step.reshape((2, len(UpperCamelCase  ))  )
												__UpperCAmelCase   :						Union[str, Any]      							=					""""""
												for numbers_index in range(len(UpperCamelCase  )  ):
																			__UpperCAmelCase   :						Optional[int]      							=					int(second_step[0, numbers_index]  )
																			__UpperCAmelCase   :						Tuple      							=					int(second_step[1, numbers_index]  )
																			__UpperCAmelCase   :						Tuple      							=					self.numbers_to_letter(UpperCamelCase ,       UpperCamelCase  )
																			__UpperCAmelCase   :						Any      							=					decoded_message + letter

												return decoded_message
