"""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
lowerCamelCase__        =		pytest.mark.integration


lowerCamelCase__        =		{"""comet"""}
lowerCamelCase__        =		importlib.util.find_spec("""fairseq""") is not None

lowerCamelCase__        =		{"""code_eval"""}
lowerCamelCase__        =		os.name == """nt"""

lowerCamelCase__        =		{"""bertscore""", """frugalscore""", """perplexity"""}
lowerCamelCase__        =		importlib.util.find_spec("""transformers""") is not None
def    __lowerCAmelCase    (_UpperCamelCase		):
	@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		):
	@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		):
	@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    ():
	__lowerCAmelCase      :						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 			A__	(     parameterized.TestCase):
		A_						:	int           =     {}
		A_						:	Dict           =     None

		@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning'			)
		@pytest.mark.filterwarnings('ignore:load_metric is deprecated:FutureWarning'			)
		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			__lowerCAmelCase      :						Any						      =				'[...]'
			__lowerCAmelCase      :						Dict						      =				importlib.import_module(
			    datasets.load.metric_module_factory(os.path.join('metrics'	,		_SCREAMING_SNAKE_CASE			)			).module_path			)
			__lowerCAmelCase      :						int						      =				datasets.load.import_main_class(metric_module.__name__	,		dataset=_SCREAMING_SNAKE_CASE			)
			# check parameters
			__lowerCAmelCase      :						List[Any]						      =				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:
						__lowerCAmelCase      :						int						      =				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 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			__lowerCAmelCase      :						List[Any]						      =				'[...]'
			__lowerCAmelCase      :						List[str]						      =				importlib.import_module(
			    datasets.load.metric_module_factory(os.path.join('metrics'	,		_SCREAMING_SNAKE_CASE			)			).module_path			)
			# run doctest
			with self.use_local_metrics():
				__lowerCAmelCase      :						Optional[Any]						      =				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 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			):
			if metric_name in self.INTENSIVE_CALLS_PATCHER:
				with self.INTENSIVE_CALLS_PATCHER[metric_name](_SCREAMING_SNAKE_CASE			):
					yield
			else:
				yield

		@contextmanager
		def 							__lowerCamelCase							(				self			):
			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:
				__lowerCAmelCase      :						List[Any]						      =				load_local_metric
				yield







		@classmethod
		def 							__lowerCamelCase							(				cls	,		_SCREAMING_SNAKE_CASE			):
			def wrapper(_SCREAMING_SNAKE_CASE			):
				__lowerCAmelCase      :						List[Any]						      =				contextmanager(_SCREAMING_SNAKE_CASE			)
				__lowerCAmelCase      :						Dict						      =				patcher
				return patcher

			return wrapper



@LocalMetricTest.register_intensive_calls_patcher('bleurt'		)
def    __lowerCAmelCase    (_UpperCamelCase		):
	import tensorflow.compat.va as tf
	from bleurt.score import Predictor

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




	class 			A__	(     _lowerCamelCase):

			def 							__lowerCamelCase							(				self	,		_SCREAMING_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:
		__lowerCAmelCase      :						Optional[Any]						      =				MockedPredictor()
		yield
@LocalMetricTest.register_intensive_calls_patcher('bertscore'		)
def    __lowerCAmelCase    (_UpperCamelCase		):
	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:
		__lowerCAmelCase      :						Optional[Any]						      =				bert_cos_score_idf
		yield
@LocalMetricTest.register_intensive_calls_patcher('comet'		)
def    __lowerCAmelCase    (_UpperCamelCase		):
	def load_from_checkpoint(_UpperCamelCase		):




		class 			A__	:

				def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		*_SCREAMING_SNAKE_CASE	,		**_SCREAMING_SNAKE_CASE			):
					assert len(_SCREAMING_SNAKE_CASE			) == 2
					__lowerCAmelCase      :						Any						      =				[0.19, 0.92]
					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:
		__lowerCAmelCase      :						Optional[int]						      =				None
		with patch('comet.load_from_checkpoint'		) as mock_load_from_checkpoint:
			__lowerCAmelCase      :						str						      =				load_from_checkpoint
			yield
def    __lowerCAmelCase    ():
	__lowerCAmelCase      :						Any						      =				load_metric(os.path.join('metrics'	,  'seqeval'		)		)
	__lowerCAmelCase      :						List[Any]						      =				'ERROR'
	__lowerCAmelCase      :						List[str]						      =				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"""







class 			A__	:

		def __init__(				self	,		_SCREAMING_SNAKE_CASE			):
			__lowerCAmelCase      :						List[Any]						      =				size
			__lowerCAmelCase      :						str						      =				[0] * size
			__lowerCAmelCase      :						Any						      =				[0] * size

		@staticmethod
		def 							__lowerCamelCase							(				_SCREAMING_SNAKE_CASE			):
			return index | (index + 1)

		@staticmethod
		def 							__lowerCamelCase							(				_SCREAMING_SNAKE_CASE			):
			return (index & (index + 1)) - 1

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			):
			__lowerCAmelCase      :						Any						      =				value
			while index < self.size:
				__lowerCAmelCase      :						Dict						      =				self.get_prev(_SCREAMING_SNAKE_CASE			) + 1
				if current_left_border == index:
					__lowerCAmelCase      :						Any						      =				value
				else:
					__lowerCAmelCase      :						Any						      =				max(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)
				__lowerCAmelCase      :						List[Any]						      =				self.get_next(_SCREAMING_SNAKE_CASE			)







		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			):
			right -= 1  # Because of right is exclusive
			__lowerCAmelCase      :						Optional[int]						      =				0
			while left <= right:
				__lowerCAmelCase      :						Optional[int]						      =				self.get_prev(_SCREAMING_SNAKE_CASE			)
				if left <= current_left:
					__lowerCAmelCase      :						Optional[Any]						      =				max(_SCREAMING_SNAKE_CASE	,		self.tree[right]			)
					__lowerCAmelCase      :						Optional[Any]						      =				current_left
				else:
					__lowerCAmelCase      :						List[str]						      =				max(_SCREAMING_SNAKE_CASE	,		self.arr[right]			)
					right -= 1
			return result


if __name__ == "__main__":
							import doctest

							doctest.testmod()