






'''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      					=pytest.mark.integration


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

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

UpperCamelCase      					={"bertscore", "frugalscore", "perplexity"}
UpperCamelCase      					=importlib.util.find_spec("transformers") is not None



def 				snake_case       (  a_				:			Tuple						)							->					Dict:





      """simple docstring"""

      @wraps(a_						)
      def wrapper(self				:			Dict     , a_				:			Union[str, Any]						):
            if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
                  self.skipTest("""\"test requires Fairseq\""""						)
            else:
                  test_case(self     , a_						)

      return wrapper



def 				snake_case       (  a_				:			List[Any]						)							->					Optional[Any]:





      """simple docstring"""

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

      return wrapper



def 				snake_case       (  a_				:			List[str]						)							->					Optional[Any]:





      """simple docstring"""

      @wraps(a_						)
      def wrapper(self				:			List[Any]     , a_				:			Tuple						):
            if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
                  self.skipTest("""\"test not supported on Windows\""""						)
            else:
                  test_case(self     , a_						)

      return wrapper



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





      """simple docstring"""

      UpperCamelCase_					: Optional[int]            =				[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      A     (   parameterized.TestCase    ):






 """simple docstring"""





 __a      :    Dict			  =    {}
 __a      :    Tuple			  =    None
 @pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""			)
 @pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning"""			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       UpperCamelCase_					: List[str]            =				"""[...]"""
       UpperCamelCase_					: int            =				importlib.import_module(
           datasets.load.metric_module_factory(os.path.join("""metrics"""      ,  __lowerCAmelCase			)			).module_path			)
       UpperCamelCase_					: Optional[Any]            =				datasets.load.import_main_class(metric_module.__name__      ,  dataset=__lowerCAmelCase			)
       # check parameters
       UpperCamelCase_					: Dict            =				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(__lowerCAmelCase      ,  metric_module.__name__			):
             with self.use_local_metrics():
                   try:
                         UpperCamelCase_					: int            =				doctest.testmod(__lowerCAmelCase      ,  verbose=__lowerCAmelCase      ,  raise_on_error=__lowerCAmelCase			)
                   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      ,  __lowerCAmelCase			):
       UpperCamelCase_					: Tuple            =				"""[...]"""
       UpperCamelCase_					: Tuple            =				importlib.import_module(
           datasets.load.metric_module_factory(os.path.join("""metrics"""      ,  __lowerCAmelCase			)			).module_path			)
       # run doctest
       with self.use_local_metrics():
             UpperCamelCase_					: int            =				doctest.testmod(__lowerCAmelCase      ,  verbose=__lowerCAmelCase      ,  raise_on_error=__lowerCAmelCase			)
       self.assertEqual(results.failed      ,  0			)
       self.assertGreater(results.attempted      ,  1			)
 @contextmanager
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase			):
       if metric_name in self.INTENSIVE_CALLS_PATCHER:
             with self.INTENSIVE_CALLS_PATCHER[metric_name](__lowerCAmelCase			):
                   yield
       else:
             yield
 @contextmanager
 def 	_UpperCAmelCase							(				self			):
       def load_local_metric(__lowerCAmelCase      ,  *__lowerCAmelCase      ,  **__lowerCAmelCase			):
             return load_metric(os.path.join("""metrics"""      ,  __lowerCAmelCase			)      ,  *__lowerCAmelCase      ,  **__lowerCAmelCase			)

       with patch("""datasets.load_metric"""			) as mock_load_metric:
             UpperCamelCase_					: Tuple            =				load_local_metric
             yield





 @classmethod
 def 	_UpperCAmelCase							(				cls      ,  __lowerCAmelCase			):
       def wrapper(__lowerCAmelCase			):
             UpperCamelCase_					: Any            =				contextmanager(__lowerCAmelCase			)
             UpperCamelCase_					: Tuple            =				patcher
             return patcher

       return wrapper






@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""						)
def 				snake_case       (  a_				:			Optional[Any]						)							->					Dict:





      """simple docstring"""

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

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




      class      A     (   SCREAMING_SNAKE_CASE__    ):






       """simple docstring"""





       def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
             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_					: Tuple            =				MockedPredictor()
            yield



@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""						)
def 				snake_case       (  a_				:			Optional[int]						)							->					Optional[int]:





      """simple docstring"""

      import torch

      def bert_cos_score_idf(a_				:			Optional[int]     , a_				:			Optional[Any]     , *a_				:			Optional[int]     , **a_				:			Optional[Any]						):
            return torch.tensor([[1.0, 1.0, 1.0]] * len(a_						)						)

      # 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_					: Union[str, Any]            =				bert_cos_score_idf
            yield



@LocalMetricTest.register_intensive_calls_patcher("""comet"""						)
def 				snake_case       (  a_				:			Optional[int]						)							->					int:





      """simple docstring"""

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




            class      A     :






             """simple docstring"""





             def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  *__lowerCAmelCase      ,  **__lowerCAmelCase			):
                   assert len(__lowerCAmelCase			) == 2
                   UpperCamelCase_					: Dict            =				[0.19, 0.92]
                   return scores, sum(__lowerCAmelCase			) / len(__lowerCAmelCase			)






            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_					: Optional[Any]            =				None
            with patch("""comet.load_from_checkpoint"""						) as mock_load_from_checkpoint:
                  UpperCamelCase_					: List[Any]            =				load_from_checkpoint
                  yield



def 				snake_case       (  )							->					List[Any]:





      """simple docstring"""

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














'''simple docstring'''

def 				snake_case       (  a_				:			str     , a_				:			Optional[int]						)							->					Any:





      """simple docstring"""

      UpperCamelCase_					: Tuple            =				(boundary[1] - boundary[0]) / steps
      UpperCamelCase_					: Dict            =				boundary[0]
      UpperCamelCase_					: Any            =				boundary[1]
      UpperCamelCase_					: Union[str, Any]            =				make_points(a_     , a_     , a_						)
      UpperCamelCase_					: Any            =				0.0
      y += (h / 2.0) * f(a_						)
      for i in x_i:
            # print(i)
            y += h * f(a_						)
      y += (h / 2.0) * f(a_						)
      return y



def 				snake_case       (  a_				:			Tuple     , a_				:			Any     , a_				:			Tuple						)							->					Tuple:





      """simple docstring"""

      UpperCamelCase_					: Optional[int]            =				a + h
      while x < (b - h):
            yield x
            UpperCamelCase_					: List[str]            =				x + h



def 				snake_case       (  a_				:			List[str]						)							->					Tuple:  # enter your function here





      """simple docstring"""

      UpperCamelCase_					: int            =				(x - 0) * (x - 0)
      return y



def 				snake_case       (  )							->					Dict:





      """simple docstring"""

      UpperCamelCase_					: Optional[Any]            =				0.0  # Lower bound of integration
      UpperCamelCase_					: Optional[int]            =				1.0  # Upper bound of integration
      UpperCamelCase_					: Optional[Any]            =				10.0  # define number of steps or resolution
      UpperCamelCase_					: Optional[Any]            =				[a, b]  # define boundary of integration
      UpperCamelCase_					: Any            =				method_a(a_     , a_						)
      print(f"y = {y}"						)


if __name__ == "__main__":
      main()






