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
SCREAMING_SNAKE_CASE__		:					Optional[Any]						=					pytest.mark.integration


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

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

SCREAMING_SNAKE_CASE__		:					Optional[Any]						=					{"bertscore", "frugalscore", "perplexity"}
SCREAMING_SNAKE_CASE__		:					Tuple						=					importlib.util.find_spec("transformers") is not None







def     _a				(      lowercase__  :			Union[str, Any] ):







     '''simple docstring'''


     @wraps(lowercase__ )
     def wrapper(self  :			Any     ,  lowercase__  :			List[Any] ):
          if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
               self.skipTest('"test requires Fairseq"' )
          else:
               test_case(self     ,  lowercase__ )

     return wrapper







def     _a				(      lowercase__  :			Tuple ):







     '''simple docstring'''


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

     return wrapper







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     @wraps(lowercase__ )
     def wrapper(self  :			Any     ,  lowercase__  :			Dict ):
          if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
               self.skipTest('"test not supported on Windows"' )
          else:
               test_case(self     ,  lowercase__ )

     return wrapper







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				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(
    UpperCamelCase_   ,						UpperCamelCase_   ,						UpperCamelCase_						)
@local
class       snake_case					(      parameterized.TestCase						):
  lowercase_			=     {}
  lowercase_			=     None




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




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		'[...]'
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		importlib.import_module(
           datasets.load.metric_module_factory(os.path.join('metrics'     , a_				)				).module_path				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		datasets.load.import_main_class(metric_module.__name__     , dataset=a_				)
       # check parameters
       SCREAMING_SNAKE_CASE__				:				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(a_     , metric_module.__name__				):
            with self.use_local_metrics():
                 try:
                      SCREAMING_SNAKE_CASE__				:				Optional[int]			=		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 	__lowercase(      self     :	int     , a_     :	Tuple				)->       Union[str, Any]:




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




  @contextmanager
  def 	__lowercase(      self     :	List[Any]     , a_     :	Optional[Any]     , a_     :	Tuple				)->       Union[str, Any]:




       """simple docstring"""
       if metric_name in self.INTENSIVE_CALLS_PATCHER:
            with self.INTENSIVE_CALLS_PATCHER[metric_name](a_				):
                 yield
       else:
            yield




  @contextmanager
  def 	__lowercase(      self     :	List[str]				)->       Tuple:




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

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




  @classmethod
  def 	__lowercase(      cls     :	Optional[int]     , a_     :	List[str]				)->       List[str]:




       """simple docstring"""
       def wrapper(a_     :	str				):
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		contextmanager(a_				)
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		patcher
            return patcher

       return wrapper







@LocalMetricTest.register_intensive_calls_patcher('bleurt' )
def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


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

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

     class       snake_case					(      UpperCamelCase_						):




       def 	__lowercase(      self     :	Any     , a_     :	Optional[Any]				)->       str:




            """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:
          SCREAMING_SNAKE_CASE__				:				int			=		MockedPredictor()
          yield







@LocalMetricTest.register_intensive_calls_patcher('bertscore' )
def     _a				(      lowercase__  :			Dict ):







     '''simple docstring'''


     import torch

     def bert_cos_score_idf(lowercase__  :			Optional[Any]     ,  lowercase__  :			Dict     ,  *lowercase__  :			Dict     ,  **lowercase__  :			List[str] ):
          return torch.tensor([[1.0, 1.0, 1.0]] * len(lowercase__ ) )

     # 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:
          SCREAMING_SNAKE_CASE__				:				Optional[int]			=		bert_cos_score_idf
          yield







@LocalMetricTest.register_intensive_calls_patcher('comet' )
def     _a				(      lowercase__  :			int ):







     '''simple docstring'''


     def load_from_checkpoint(lowercase__  :			Optional[int] ):

          class       snake_case					:




            def 	__lowercase(      self     :	Tuple     , a_     :	List[str]     , *a_     :	Optional[Any]     , **a_     :	str				)->       Optional[Any]:




                 """simple docstring"""
                 assert len(a_				) == 2
                 SCREAMING_SNAKE_CASE__				:				Any			=		[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:
          SCREAMING_SNAKE_CASE__				:				Tuple			=		None
          with patch('comet.load_from_checkpoint' ) as mock_load_from_checkpoint:
               SCREAMING_SNAKE_CASE__				:				List[str]			=		load_from_checkpoint
               yield







def     _a				(      ):







     '''simple docstring'''


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




from __future__ import annotations







def     _a				(      lowercase__  :			list[int | float]     ,  lowercase__  :			int     ,  lowercase__  :			int ):







     '''simple docstring'''


     if len(lowercase__ ) == 0:
          raise ValueError('find_max() arg is an empty sequence' )
     if (
         left >= len(lowercase__ )
         or left < -len(lowercase__ )
         or right >= len(lowercase__ )
         or right < -len(lowercase__ )
     ):
          raise IndexError('list index out of range' )
     if left == right:
          return nums[left]
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		(left + right) >> 1  # the middle
     SCREAMING_SNAKE_CASE__				:				int			=		find_max(lowercase__     ,  lowercase__     ,  lowercase__ )  # find max in range[left, mid]
     SCREAMING_SNAKE_CASE__				:				Tuple			=		find_max(lowercase__     ,  mid + 1     ,  lowercase__ )  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



