



'''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__						:Optional[Any]          =			pytest.mark.integration


UpperCAmelCase__						:int          =			{"""comet"""}
UpperCAmelCase__						:int          =			importlib.util.find_spec("""fairseq""") is not None

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

UpperCAmelCase__						:Optional[Any]          =			{"""bertscore""", """frugalscore""", """perplexity"""}
UpperCAmelCase__						:int          =			importlib.util.find_spec("""transformers""") is not None
def     __lowercase  (_lowercase     )   ->     str:


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

     return wrapper
def     __lowercase  (_lowercase     )   ->     Tuple:


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

     return wrapper
def     __lowercase  (_lowercase     )   ->     Dict:


     """simple docstring"""
     @wraps(_lowercase     )
     def wrapper(self,						_lowercase     ):
          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     __lowercase  ()   ->     Optional[Any]:


     """simple docstring"""
     __lowerCamelCase						:       Union[str, 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 	SCREAMING_SNAKE_CASE	(      parameterized.TestCase  ):
       snake_case__    :     Dict   		=			{}
       snake_case__    :     List[str]   		=			None




       @pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""					)
       @pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning"""					)
       def 					a_					(					self      : int	,    A__      : List[str]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				"""[...]"""
            __lowerCamelCase						:       Optional[Any]				   =				importlib.import_module(
                datasets.load.metric_module_factory(os.path.join("""metrics"""	,    A__					)					).module_path					)
            __lowerCamelCase						:       int				   =				datasets.load.import_main_class(metric_module.__name__	,    dataset=A__					)
            # check parameters
            __lowerCamelCase						:       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:
                           __lowerCamelCase						:       Any				   =				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 					a_					(					self      : Optional[int]	,    A__      : Any					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				"""[...]"""
            __lowerCamelCase						:       List[Any]				   =				importlib.import_module(
                datasets.load.metric_module_factory(os.path.join("""metrics"""	,    A__					)					).module_path					)
            # run doctest
            with self.use_local_metrics():
                 __lowerCamelCase						:       int				   =				doctest.testmod(A__	,    verbose=A__	,    raise_on_error=A__					)
            self.assertEqual(results.failed	,    0					)
            self.assertGreater(results.attempted	,    1					)




       @contextmanager
       def 					a_					(					self      : int	,    A__      : Union[str, Any]	,    A__      : Optional[Any]					):


            """simple docstring"""







            if metric_name in self.INTENSIVE_CALLS_PATCHER:
                 with self.INTENSIVE_CALLS_PATCHER[metric_name](A__					):
                      yield
            else:
                 yield




       @contextmanager
       def 					a_					(					self      : Any					):


            """simple docstring"""







            def load_local_metric(A__      : Optional[Any]	,    *A__      : str	,    **A__      : str					):
                 return load_metric(os.path.join("""metrics"""	,    A__					)	,    *A__	,    **A__					)

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




       @classmethod
       def 					a_					(					cls      : Any	,    A__      : Union[str, Any]					):


            """simple docstring"""







            def wrapper(A__      : Tuple					):
                 __lowerCamelCase						:       List[str]				   =				contextmanager(A__					)
                 __lowerCamelCase						:       List[str]				   =				patcher
                 return patcher

            return wrapper

@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""     )
def     __lowercase  (_lowercase     )   ->     Optional[Any]:


     """simple docstring"""
     import tensorflow.compat.va as tf
     from bleurt.score import Predictor

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







     class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):




            def 					a_					(					self      : Union[str, Any]	,    A__      : Dict					):


                 """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:
          __lowerCamelCase						:       Optional[Any]				   =				MockedPredictor()
          yield
@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""     )
def     __lowercase  (_lowercase     )   ->     List[str]:


     """simple docstring"""
     import torch

     def bert_cos_score_idf(_lowercase,						_lowercase,						*_lowercase,						**_lowercase     ):
          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:
          __lowerCamelCase						:       Tuple				   =				bert_cos_score_idf
          yield
@LocalMetricTest.register_intensive_calls_patcher("""comet"""     )
def     __lowercase  (_lowercase     )   ->     int:


     """simple docstring"""
     def load_from_checkpoint(_lowercase     ):







          class 	SCREAMING_SNAKE_CASE	:




                 def 					a_					(					self      : Dict	,    A__      : Dict	,    *A__      : Dict	,    **A__      : Optional[int]					):


                      """simple docstring"""







                      assert len(A__					) == 2
                      __lowerCamelCase						:       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:
          __lowerCamelCase						:       Dict				   =				None
          with patch("""comet.load_from_checkpoint"""     ) as mock_load_from_checkpoint:
               __lowerCamelCase						:       str				   =				load_from_checkpoint
               yield
def     __lowercase  ()   ->     Optional[Any]:


     """simple docstring"""
     __lowerCamelCase						:       Dict				   =				load_metric(os.path.join("""metrics""",						"""seqeval"""     )     )
     __lowerCamelCase						:       Optional[int]				   =				"""ERROR"""
     __lowerCamelCase						:       Optional[int]				   =				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     )











'''simple docstring'''

from __future__ import annotations

from random import random







class 	SCREAMING_SNAKE_CASE	:




       def __init__(					self      : Tuple	,    A__      : int | None = None					):


            """simple docstring"""







            __lowerCamelCase						:       int				   =				value
            __lowerCamelCase						:       Dict				   =				random()
            __lowerCamelCase						:       Node | None				   =				None
            __lowerCamelCase						:       Node | None				   =				None




       def __repr__(					self      : Any					):


            """simple docstring"""







            from pprint import pformat

            if self.left is None and self.right is None:
                 return f"'{self.value}: {self.prior:.5}'"
            else:
                 return pformat(
                     {f"{self.value}: {self.prior:.5}": (self.left, self.right)}	,    indent=1					)




       def __str__(					self      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				str(self.value					) + """ """
            __lowerCamelCase						:       Any				   =				str(self.left or """"""					)
            __lowerCamelCase						:       List[str]				   =				str(self.right or """"""					)
            return value + left + right

def     __lowercase  (_lowercase,						_lowercase     )   ->     tuple[Node | None, Node | None]:


     """simple docstring"""
     if root is None:  # None tree is split into 2 Nones
          return None, None
     elif root.value is None:
          return None, None
     else:
          if value < root.value:
               __lowerCamelCase   ,      __lowerCamelCase						:       int				   =				split(root.left,						_lowercase     )
               return left, root
          else:
               __lowerCamelCase   ,      __lowerCamelCase						:       Union[str, Any]				   =				split(root.right,						_lowercase     )
               return root, right
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     if (not left) or (not right):  # If one node is None, return the other
          return left or right
     elif left.prior < right.prior:
          __lowerCamelCase						:       Tuple				   =				merge(left.right,						_lowercase     )
          return left
     else:
          __lowerCamelCase						:       int				   =				merge(_lowercase,						right.left     )
          return right
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     __lowerCamelCase						:       List[str]				   =				Node(_lowercase     )
     __lowerCamelCase   ,      __lowerCamelCase						:       List[Any]				   =				split(_lowercase,						_lowercase     )
     return merge(merge(_lowercase,						_lowercase     ),						_lowercase     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     __lowerCamelCase   ,      __lowerCamelCase						:       int				   =				split(_lowercase,						value - 1     )
     __lowerCamelCase   ,      __lowerCamelCase						:       List[str]				   =				split(_lowercase,						_lowercase     )
     return merge(_lowercase,						_lowercase     )
def     __lowercase  (_lowercase     )   ->     None:


     """simple docstring"""
     if not root:  # None
          return
     else:
          inorder(root.left     )
          print(root.value,						end=""","""     )
          inorder(root.right     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     for arg in args.split():
          if arg[0] == "+":
               __lowerCamelCase						:       Dict				   =				insert(_lowercase,						int(arg[1:]     )     )

          elif arg[0] == "-":
               __lowerCamelCase						:       List[str]				   =				erase(_lowercase,						int(arg[1:]     )     )

          else:
               print("""Unknown command"""     )

     return root
def     __lowercase  ()   ->     None:


     """simple docstring"""
     __lowerCamelCase						:       str				   =				None
     print(
         """enter numbers to create a tree, + value to add value into treap, """
         """- value to erase all nodes with value. 'q' to quit. """     )

     __lowerCamelCase						:       int				   =				input()
     while args != "q":
          __lowerCamelCase						:       List[Any]				   =				interact_treap(_lowercase,						_lowercase     )
          print(_lowercase     )
          __lowerCamelCase						:       List[Any]				   =				input()

     print("""good by!"""     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()



