



'''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
SCREAMING_SNAKE_CASE__      					=     pytest.mark.integration


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

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

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




def        lowerCamelCase  (				_snake_case  :						List[Any]       ):





    '''simple docstring'''


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

    return wrapper




def        lowerCamelCase  (				_snake_case  :						Dict       ):





    '''simple docstring'''


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

    return wrapper




def        lowerCamelCase  (				_snake_case  :						Optional[int]       ):





    '''simple docstring'''


    @wraps(_snake_case       )
    def wrapper(self  :						Dict     ,_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        lowerCamelCase  (				):





    '''simple docstring'''


    lowercase__		       =						[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   ):
       lowerCAmelCase__  :Dict						   =					{}
       lowerCAmelCase__  :List[Any]						   =					None



       @pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"      )
       @pytest.mark.filterwarnings("ignore:load_metric is deprecated:FutureWarning"      )
       def 							_a      (				self     ,UpperCAmelCase_      )  ->							int:
           lowercase__		       =						"[...]"
           lowercase__		       =						importlib.import_module(
               datasets.load.metric_module_factory(os.path.join("metrics"     ,UpperCAmelCase_      )      ).module_path      )
           lowercase__		       =						datasets.load.import_main_class(metric_module.__name__     ,dataset=UpperCAmelCase_      )
           # check parameters
           lowercase__		       =						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:
                       lowercase__		       =						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 							_a      (				self     ,UpperCAmelCase_      )  ->							Dict:
           lowercase__		       =						"[...]"
           lowercase__		       =						importlib.import_module(
               datasets.load.metric_module_factory(os.path.join("metrics"     ,UpperCAmelCase_      )      ).module_path      )
           # run doctest
           with self.use_local_metrics():
               lowercase__		       =						doctest.testmod(UpperCAmelCase_     ,verbose=UpperCAmelCase_     ,raise_on_error=UpperCAmelCase_      )
           self.assertEqual(results.failed     ,0      )
           self.assertGreater(results.attempted     ,1      )



       @contextmanager
       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_      )  ->							List[Any]:
           if metric_name in self.INTENSIVE_CALLS_PATCHER:
               with self.INTENSIVE_CALLS_PATCHER[metric_name](UpperCAmelCase_      ):
                   yield
           else:
               yield



       @contextmanager
       def 							_a      (				self      )  ->							List[str]:
           def load_local_metric(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      ):
               return load_metric(os.path.join("metrics"     ,UpperCAmelCase_      )     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )

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







       @classmethod
       def 							_a      (				cls     ,UpperCAmelCase_      )  ->							Optional[int]:
           def wrapper(UpperCAmelCase_      ):
               lowercase__		       =						contextmanager(UpperCAmelCase_      )
               lowercase__		       =						patcher
               return patcher

           return wrapper





@LocalMetricTest.register_intensive_calls_patcher("bleurt"       )
def        lowerCamelCase  (				_snake_case  :						Tuple       ):





    '''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 							_a      (				self     ,UpperCAmelCase_      )  ->							Union[str, Any]:
               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:
        lowercase__		       =						MockedPredictor()
        yield




@LocalMetricTest.register_intensive_calls_patcher("bertscore"       )
def        lowerCamelCase  (				_snake_case  :						Tuple       ):





    '''simple docstring'''


    import torch

    def bert_cos_score_idf(_snake_case  :						List[Any]     ,_snake_case  :						List[str]     ,*_snake_case  :						Union[str, Any]     ,**_snake_case  :						Tuple       ):
        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:
        lowercase__		       =						bert_cos_score_idf
        yield




@LocalMetricTest.register_intensive_calls_patcher("comet"       )
def        lowerCamelCase  (				_snake_case  :						Union[str, Any]       ):





    '''simple docstring'''


    def load_from_checkpoint(_snake_case  :						Optional[int]       ):


        class 				snake_case__ :



               def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							List[Any]:
                   assert len(UpperCAmelCase_      ) == 2
                   lowercase__		       =						[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:
        lowercase__		       =						None
        with patch("comet.load_from_checkpoint"       ) as mock_load_from_checkpoint:
            lowercase__		       =						load_from_checkpoint
            yield




def        lowerCamelCase  (				):





    '''simple docstring'''


    lowercase__		       =						load_metric(os.path.join("metrics"     ,"seqeval"       )       )
    lowercase__		       =						"ERROR"
    lowercase__		       =						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       )









'''simple docstring'''





def        lowerCamelCase  (				_snake_case  :						List[str]       ):  # noqa: E741





    '''simple docstring'''


    lowercase__		       =						len(_snake_case       )
    lowercase__		       =						0
    lowercase__		       =						[0] * n
    lowercase__		       =						[False] * n
    lowercase__		       =						[False] * n

    def dfs(_snake_case  :						Tuple     ,_snake_case  :						int     ,_snake_case  :						List[str]     ,_snake_case  :						str       ):
        if parent == root:
            out_edge_count += 1
        lowercase__		       =						True
        lowercase__		       =						at

        for to in l[at]:
            if to == parent:
                pass
            elif not visited[to]:
                lowercase__		       =						dfs(_snake_case     ,_snake_case     ,_snake_case     ,_snake_case       )
                lowercase__		       =						min(low[at]     ,low[to]       )

                # AP found via bridge
                if at < low[to]:
                    lowercase__		       =						True
                # AP found via cycle
                if at == low[to]:
                    lowercase__		       =						True
            else:
                lowercase__		       =						min(low[at]     ,_snake_case       )
        return out_edge_count

    for i in range(_snake_case       ):
        if not visited[i]:
            lowercase__		       =						0
            lowercase__		       =						dfs(_snake_case     ,_snake_case     ,-1     ,_snake_case       )
            lowercase__		       =						out_edge_count > 1

    for x in range(len(_snake_case       )       ):
        if is_art[x] is True:
            print(_snake_case       )


# Adjacency list of graph
SCREAMING_SNAKE_CASE__      					=     {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}



compute_ap(data)




