


"""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							:    Union[str, Any]		=    pytest.mark.integration


__SCREAMING_SNAKE_CASE							:    Optional[int]		=    {'comet'}
__SCREAMING_SNAKE_CASE							:    Union[str, Any]		=    importlib.util.find_spec('fairseq') is not None

__SCREAMING_SNAKE_CASE							:    Dict		=    {'code_eval'}
__SCREAMING_SNAKE_CASE							:    str		=    os.name == 'nt'

__SCREAMING_SNAKE_CASE							:    Union[str, Any]		=    {'bertscore', 'frugalscore', 'perplexity'}
__SCREAMING_SNAKE_CASE							:    Any		=    importlib.util.find_spec('transformers') is not None







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

       return wrapper







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

       return wrapper







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

       return wrapper







def 						_a				(      )    ->				List[str]:
       snake_case_           =		[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(
    snake_case__						,		snake_case__						,		snake_case__)
@local
class      __A     (parameterized.TestCase):





       '''simple docstring'''

       __lowercase:		Tuple							      =    {}
       __lowercase:		Tuple							      =    None



       @pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""       )
       @pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning"""       )
       def 		lowerCAmelCase       (				self							:      Any		,       UpperCAmelCase_							:      List[str]       )					->Optional[Any]:



              """simple docstring"""



              snake_case_           =		"""[...]"""
              snake_case_           =		importlib.import_module(
                  datasets.load.metric_module_factory(os.path.join("""metrics"""		,       UpperCAmelCase_       )       ).module_path       )
              snake_case_           =		datasets.load.import_main_class(metric_module.__name__		,       dataset=UpperCAmelCase_       )
              # check parameters
              snake_case_           =		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:
                                   snake_case_           =		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 		lowerCAmelCase       (				self							:      Optional[int]		,       UpperCAmelCase_							:      List[str]       )					->Any:



              """simple docstring"""



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



       @contextmanager
       def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      Optional[int]       )					->int:



              """simple docstring"""



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



       @contextmanager
       def 		lowerCAmelCase       (				self							:      List[Any]       )					->Optional[Any]:



              """simple docstring"""



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

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



       @classmethod
       def 		lowerCAmelCase       (				cls							:      Any		,       UpperCAmelCase_							:      Dict       )					->List[Any]:



              """simple docstring"""



              def wrapper(UpperCAmelCase_							:      Optional[int]       ):
                     snake_case_           =		contextmanager(UpperCAmelCase_       )
                     snake_case_           =		patcher
                     return patcher

              return wrapper







@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""				)
def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				str:
       import tensorflow.compat.va as tf
       from bleurt.score import Predictor

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





       class      __A     (snake_case__):





              '''simple docstring'''

              def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      str       )					->List[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:
              snake_case_           =		MockedPredictor()
              yield







@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""				)
def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				Optional[Any]:
       import torch

       def bert_cos_score_idf(_SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, *_SCREAMING_SNAKE_CASE				, **_SCREAMING_SNAKE_CASE				):
              return torch.tensor([[1.0, 1.0, 1.0]] * len(_SCREAMING_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:
              snake_case_           =		bert_cos_score_idf
              yield







@LocalMetricTest.register_intensive_calls_patcher("""comet"""				)
def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				Any:
       def load_from_checkpoint(_SCREAMING_SNAKE_CASE				):





              class      __A     :





                     '''simple docstring'''

                     def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      Union[str, Any]		,       *UpperCAmelCase_							:      Optional[int]		,       **UpperCAmelCase_							:      str       )					->Any:



                            """simple docstring"""



                            assert len(UpperCAmelCase_       ) == 2
                            snake_case_           =		[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:
              snake_case_           =		None
              with patch("""comet.load_from_checkpoint"""				) as mock_load_from_checkpoint:
                     snake_case_           =		load_from_checkpoint
                     yield







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







"""simple docstring"""
from __future__ import annotations

from collections import deque





class      __A     :





							'''simple docstring'''

							def __init__(				self							:      List[Any]		,       UpperCAmelCase_							:      list[str]       )					->List[Any]:



														"""simple docstring"""



														snake_case_           =		[]
														self.adlist.append(
														    {"""value""": """""", """next_states""": [], """fail_state""": 0, """output""": []}       )

														for keyword in keywords:
																					self.add_keyword(UpperCAmelCase_       )
														self.set_fail_transitions()



							def 		lowerCAmelCase       (				self							:      int		,       UpperCAmelCase_							:      int		,       UpperCAmelCase_							:      str       )					->int | None:



														"""simple docstring"""



														for state in self.adlist[current_state]["next_states"]:
																					if char == self.adlist[state]["value"]:
																												return state
														return None



							def 		lowerCAmelCase       (				self							:      int		,       UpperCAmelCase_							:      str       )					->None:



														"""simple docstring"""



														snake_case_           =		0
														for character in keyword:
																					snake_case_           =		self.find_next_state(UpperCAmelCase_		,       UpperCAmelCase_       )
																					if next_state is None:
																												self.adlist.append(
																												    {
																												        """value""": character,
																												        """next_states""": [],
																												        """fail_state""": 0,
																												        """output""": [],
																												    }       )
																												self.adlist[current_state]["next_states"].append(len(self.adlist       ) - 1       )
																												snake_case_           =		len(self.adlist       ) - 1
																					else:
																												snake_case_           =		next_state
														self.adlist[current_state]["output"].append(UpperCAmelCase_       )



							def 		lowerCAmelCase       (				self							:      Optional[Any]       )					->None:



														"""simple docstring"""



														snake_case_           =		deque()
														for node in self.adlist[0]["next_states"]:
																					q.append(UpperCAmelCase_       )
																					snake_case_           =		0
														while q:
																					snake_case_           =		q.popleft()
																					for child in self.adlist[r]["next_states"]:
																												q.append(UpperCAmelCase_       )
																												snake_case_           =		self.adlist[r]["""fail_state"""]
																												while (
																												    self.find_next_state(UpperCAmelCase_		,       self.adlist[child]["""value"""]       ) is None
																												    and state != 0
																												):
																																			snake_case_           =		self.adlist[state]["""fail_state"""]
																												snake_case_           =		self.find_next_state(
																												    UpperCAmelCase_		,       self.adlist[child]["""value"""]       )
																												if self.adlist[child]["fail_state"] is None:
																																			snake_case_           =		0
																												snake_case_           =		(
																												    self.adlist[child]["""output"""]
																												    + self.adlist[self.adlist[child]["""fail_state"""]]["""output"""]
																												)



							def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      str       )					->dict[str, list[int]]:



														"""simple docstring"""



														snake_case_           =		{}  # returns a dict with keywords and list of its occurrences
														snake_case_           =		0
														for i in range(len(UpperCAmelCase_       )       ):
																					while (
																					    self.find_next_state(UpperCAmelCase_		,       string[i]       ) is None
																					    and current_state != 0
																					):
																												snake_case_           =		self.adlist[current_state]["""fail_state"""]
																					snake_case_           =		self.find_next_state(UpperCAmelCase_		,       string[i]       )
																					if next_state is None:
																												snake_case_           =		0
																					else:
																												snake_case_           =		next_state
																												for key in self.adlist[current_state]["output"]:
																																			if key not in result:
																																										snake_case_           =		[]
																																			result[key].append(i - len(UpperCAmelCase_       ) + 1       )
														return result


if __name__ == "__main__":
				import doctest

				doctest.testmod()



