



'''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
A_							: List[Any]						 =	pytest.mark.integration


A_							: List[str]						 =	{"""comet"""}
A_							: Union[str, Any]						 =	importlib.util.find_spec("""fairseq""") is not None

A_							: Optional[Any]						 =	{"""code_eval"""}
A_							: Any						 =	os.name == """nt"""

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




def     snake_case_					(     lowerCAmelCase_		)->		List[str]:





       '''simple docstring'''


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

       return wrapper




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





       '''simple docstring'''


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

       return wrapper




def     snake_case_					(     lowerCAmelCase_		)->		List[Any]:





       '''simple docstring'''


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

       return wrapper




def     snake_case_					(     )->		List[Any]:





       '''simple docstring'''


       _UpperCAmelCase  :						List[str]			     = [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 							lowercase       (  parameterized.TestCase				):


 """simple docstring"""


 UpperCAmelCase							=  {}
 UpperCAmelCase							=  None







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







 @contextmanager
 def _snake_case (							self  ,a_  ,a_							)		->   int:
        if metric_name in self.INTENSIVE_CALLS_PATCHER:
               with self.INTENSIVE_CALLS_PATCHER[metric_name](a_							):
                      yield
        else:
               yield







 @contextmanager
 def _snake_case (							self							)		->   Optional[int]:
        def load_local_metric(a_  ,*a_  ,**a_							):
               return load_metric(os.path.join("""metrics"""  ,a_							)  ,*a_  ,**a_							)

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







 @classmethod
 def _snake_case (							cls  ,a_							)		->   List[str]:
        def wrapper(a_							):
               _UpperCAmelCase  :						Optional[int]			     = contextmanager(a_							)
               _UpperCAmelCase  :						Tuple			     = patcher
               return patcher

        return wrapper







@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""		)
def     snake_case_					(     lowerCAmelCase_		)->		Any:





       '''simple docstring'''


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

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



       class 							lowercase       (  _lowerCamelCase				):


        """simple docstring"""


        def _snake_case (							self  ,a_							)		->   List[str]:
               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  :						Dict			     = MockedPredictor()
              yield




@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""		)
def     snake_case_					(     lowerCAmelCase_		)->		Union[str, Any]:





       '''simple docstring'''


       import torch

       def bert_cos_score_idf(lowerCAmelCase_       ,   lowerCAmelCase_       ,   *lowerCAmelCase_       ,   **lowerCAmelCase_		):
              return torch.tensor([[1.0, 1.0, 1.0]] * len(lowerCAmelCase_		)		)

       # 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  :						int			     = bert_cos_score_idf
              yield




@LocalMetricTest.register_intensive_calls_patcher("""comet"""		)
def     snake_case_					(     lowerCAmelCase_		)->		List[str]:





       '''simple docstring'''


       def load_from_checkpoint(lowerCAmelCase_		):



              class 							lowercase       :


               """simple docstring"""


               def _snake_case (							self  ,a_  ,*a_  ,**a_							)		->   Any:
                      assert len(a_							) == 2
                      _UpperCAmelCase  :						Dict			     = [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:
              _UpperCAmelCase  :						int			     = None
              with patch("""comet.load_from_checkpoint"""		) as mock_load_from_checkpoint:
                     _UpperCAmelCase  :						Optional[Any]			     = load_from_checkpoint
                     yield




def     snake_case_					(     )->		List[str]:





       '''simple docstring'''


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








'''simple docstring'''






from __future__ import annotations

import typing
from collections import Counter




def     snake_case_					(     lowerCAmelCase_		)->		typing.Counter[int]:





       '''simple docstring'''


       _UpperCAmelCase  :						typing.Counter[int]			     = Counter()
       for base in range(1       ,   max_perimeter + 1		):
              for perpendicular in range(lowerCAmelCase_       ,   max_perimeter + 1		):
                     _UpperCAmelCase  :						List[str]			     = (base * base + perpendicular * perpendicular) ** 0.5
                     if hypotenuse == int(lowerCAmelCase_		):
                            _UpperCAmelCase  :						Optional[Any]			     = int(base + perpendicular + hypotenuse		)
                            if perimeter > max_perimeter:
                                   continue
                            triplets[perimeter] += 1
       return triplets




def     snake_case_					(     lowerCAmelCase_ = 1000		)->		int:





       '''simple docstring'''


       _UpperCAmelCase  :						int			     = pythagorean_triple(lowerCAmelCase_		)
       return triplets.most_common(1		)[0][0]


if __name__ == "__main__":
   print(f"""Perimeter {solution()} has maximum solutions""")



