





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__									=pytest.mark.integration


UpperCAmelCase__									={'comet'}
UpperCAmelCase__									=importlib.util.find_spec('''fairseq''') is not None

UpperCAmelCase__									={'code_eval'}
UpperCAmelCase__									=os.name == 'nt'

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





def      _lowercase					(						_UpperCAmelCase				)						->  str:
				@wraps(_SCREAMING_SNAKE_CASE				)
				def wrapper(self			,      _UpperCAmelCase				):
								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      _lowercase					(						_UpperCAmelCase				)						->  Optional[int]:
				@wraps(_SCREAMING_SNAKE_CASE				)
				def wrapper(self			,      _UpperCAmelCase				):
								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      _lowercase					(						_UpperCAmelCase				)						->  str:
				@wraps(_SCREAMING_SNAKE_CASE				)
				def wrapper(self			,      _UpperCAmelCase				):
								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      _lowercase					(						)						->  List[str]:
				lowerCamelCase	 =[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    ):
				__A      =				{}
				__A      =				None


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


				@contextmanager
				def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_							):



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


				@contextmanager
				def _snake_case       (		self							):



								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:
												lowerCamelCase	 =load_local_metric
												yield


				@classmethod
				def _snake_case       (		cls   , UpperCAmelCase_							):



								def wrapper(UpperCAmelCase_							):
												lowerCamelCase	 =contextmanager(UpperCAmelCase_							)
												lowerCamelCase	 =patcher
												return patcher

								return wrapper





@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""				)
def      _lowercase					(						_UpperCAmelCase				)						->  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__    ):


								def _snake_case       (		self   , UpperCAmelCase_							):
												assert len(input_dict["""input_ids"""]							) == 2
												return np.array([1.0_3, 1.0_4]							)

    # 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	 =MockedPredictor()
								yield





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

				def bert_cos_score_idf(_UpperCAmelCase			,      _UpperCAmelCase			,      *_UpperCAmelCase			,      **_UpperCAmelCase				):
								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:
								lowerCamelCase	 =bert_cos_score_idf
								yield





@LocalMetricTest.register_intensive_calls_patcher("""comet"""				)
def      _lowercase					(						_UpperCAmelCase				)						->  Any:
				def load_from_checkpoint(_UpperCAmelCase				):

								class       __A     :


												def _snake_case       (		self   , UpperCAmelCase_   , *UpperCAmelCase_   , **UpperCAmelCase_							):
																assert len(UpperCAmelCase_							) == 2
																lowerCamelCase	 =[0.1_9, 0.9_2]
																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:
								lowerCamelCase	 =None
								with patch("""comet.load_from_checkpoint"""				) as mock_load_from_checkpoint:
												lowerCamelCase	 =load_from_checkpoint
												yield





def      _lowercase					(						)						->  List[str]:
				lowerCamelCase	 =load_metric(os.path.join("""metrics"""			,      """seqeval"""				)				)
				lowerCamelCase	 ="""ERROR"""
				lowerCamelCase	 =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				)












import os

try:
							from .build_directory_md import good_file_paths
except ImportError:
							from build_directory_md import good_file_paths  # type: ignore

UpperCAmelCase__						:			List[Any]									=list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

UpperCAmelCase__						:			Dict									=[file for file in filepaths if file != file.lower()]
if upper_files:
							print(F"{len(upper_files)} files contain uppercase characters:")
							print('''\n'''.join(upper_files) + '''\n''')

UpperCAmelCase__						:			Dict									=[file for file in filepaths if ''' ''' in file]
if space_files:
							print(F"{len(space_files)} files contain space characters:")
							print('''\n'''.join(space_files) + '''\n''')

UpperCAmelCase__						:			Dict									=[file for file in filepaths if '''-''' in file]
if hyphen_files:
							print(F"{len(hyphen_files)} files contain hyphen characters:")
							print('''\n'''.join(hyphen_files) + '''\n''')

UpperCAmelCase__						:			Optional[int]									=[file for file in filepaths if os.sep not in file]
if nodir_files:
							print(F"{len(nodir_files)} files are not in a directory:")
							print('''\n'''.join(nodir_files) + '''\n''')

UpperCAmelCase__						:			str									=len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
							import sys

							sys.exit(bad_files)





