"""simple docstring"""







from __future__ import annotations

SCREAMING_SNAKE_CASE									=						{
    'A': ['B', 'C', 'E'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F', 'G'],
    'D': ['B'],
    'E': ['A', 'B', 'D'],
    'F': ['C'],
    'G': ['C'],
}



class  _lowerCamelCase			:







				def __init__( self    :       List[Any]			,					lowerCamelCase_    :       dict[str, list[str]]			,					lowerCamelCase_    :       str						):

					"""simple docstring"""






					_lowercase :    Optional[int]							=							graph
					# mapping node to its parent in resulting breadth first tree
					_lowercase :    dict[str, str | None]							=							{}
					_lowercase :    Dict							=							source_vertex







				def 							__UpperCAmelCase					( self    :       int						):

					"""simple docstring"""






					_lowercase :    List[Any]							=							{self.source_vertex}
					_lowercase :    int							=							None
					_lowercase :    Optional[Any]							=							[self.source_vertex]  # first in first out queue

					while queue:
						_lowercase :    Any							=							queue.pop(0						)
						for adjacent_vertex in self.graph[vertex]:
							if adjacent_vertex not in visited:
								visited.add(lowerCamelCase_						)
								_lowercase :    int							=							vertex
								queue.append(lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Tuple			,					lowerCamelCase_    :       str						):

					"""simple docstring"""






					if target_vertex == self.source_vertex:
						return self.source_vertex

					_lowercase :    List[str]							=							self.parent.get(lowerCamelCase_						)
					if target_vertex_parent is None:
						_lowercase :    List[str]							=							(
						    F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
						)
						raise ValueError(lowerCamelCase_						)

					return self.shortest_path(lowerCamelCase_						) + F'''->{target_vertex}'''


if __name__ == "__main__":
						SCREAMING_SNAKE_CASE									=						Graph(graph, 'G')
						g.breath_first_search()
						print(g.shortest_path('D'))
						print(g.shortest_path('G'))
						print(g.shortest_path('Foo'))




"""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(		__UpperCAmelCase			):






	"""simple docstring"""





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

	return wrapper


def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





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

	return wrapper


def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	@wraps(__UpperCAmelCase			)
	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     ,__UpperCAmelCase			)

	return wrapper


def      __lowerCAmelCase(		):






	"""simple docstring"""





	_lowercase :    int							=							[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  _lowerCamelCase			(parameterized.TestCase     ):
				_snake_case     =  {}
				_snake_case     =  None







				@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning'						)
				@pytest.mark.filterwarnings('ignore:load_metric is deprecated:FutureWarning'						)
				def 							__UpperCAmelCase					( self    :       str			,					lowerCamelCase_    :       List[str]						):

					"""simple docstring"""






					_lowercase :    Optional[Any]							=							'[...]'
					_lowercase :    str							=							importlib.import_module(
					    datasets.load.metric_module_factory(os.path.join('metrics'			,					lowerCamelCase_						)						).module_path						)
					_lowercase :    Dict							=							datasets.load.import_main_class(metric_module.__name__			,					dataset=lowerCamelCase_						)
					# check parameters
					_lowercase :    Optional[int]							=							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(lowerCamelCase_			,					metric_module.__name__						):
						with self.use_local_metrics():
							try:
								_lowercase :    Optional[Any]							=							doctest.testmod(lowerCamelCase_			,					verbose=lowerCamelCase_			,					raise_on_error=lowerCamelCase_						)
							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 							__UpperCAmelCase					( self    :       Any			,					lowerCamelCase_    :       Dict						):

					"""simple docstring"""






					_lowercase :    Optional[Any]							=							'[...]'
					_lowercase :    Dict							=							importlib.import_module(
					    datasets.load.metric_module_factory(os.path.join('metrics'			,					lowerCamelCase_						)						).module_path						)
					# run doctest
					with self.use_local_metrics():
						_lowercase :    str							=							doctest.testmod(lowerCamelCase_			,					verbose=lowerCamelCase_			,					raise_on_error=lowerCamelCase_						)
					self.assertEqual(results.failed			,					0						)
					self.assertGreater(results.attempted			,					1						)







				@contextmanager
				def 							__UpperCAmelCase					( self    :       Tuple			,					lowerCamelCase_    :       int			,					lowerCamelCase_    :       str						):

					"""simple docstring"""






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







				@contextmanager
				def 							__UpperCAmelCase					( self    :       Dict						):

					"""simple docstring"""






					def load_local_metric(lowerCamelCase_    :       Optional[Any]			,					*lowerCamelCase_    :       Any			,					**lowerCamelCase_    :       Optional[int]						):
						return load_metric(os.path.join('metrics'			,					lowerCamelCase_						)			,					*lowerCamelCase_			,					**lowerCamelCase_						)

					with patch('datasets.load_metric'						) as mock_load_metric:
						_lowercase :    str							=							load_local_metric
						yield







				@classmethod
				def 							__UpperCAmelCase					( cls    :       Tuple			,					lowerCamelCase_    :       Tuple						):

					"""simple docstring"""






					def wrapper(lowerCamelCase_    :       int						):
						_lowercase :    Any							=							contextmanager(lowerCamelCase_						)
						_lowercase :    Any							=							patcher
						return patcher

					return wrapper



@LocalMetricTest.register_intensive_calls_patcher('bleurt'			)
def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





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

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



	class  _lowerCamelCase			(__lowerCamelCase     ):







					def 							__UpperCAmelCase					( self    :       Optional[Any]			,					lowerCamelCase_    :       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:
		_lowercase :    Dict							=							MockedPredictor()
		yield


@LocalMetricTest.register_intensive_calls_patcher('bertscore'			)
def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	import torch

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

	# 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 :    Tuple							=							bert_cos_score_idf
		yield


@LocalMetricTest.register_intensive_calls_patcher('comet'			)
def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	def load_from_checkpoint(__UpperCAmelCase			):



		class  _lowerCamelCase			:







						def 							__UpperCAmelCase					( self    :       Tuple			,					lowerCamelCase_    :       str			,					*lowerCamelCase_    :       List[Any]			,					**lowerCamelCase_    :       List[str]						):

							"""simple docstring"""






							assert len(lowerCamelCase_						) == 2
							_lowercase :    Union[str, Any]							=							[0.19, 0.92]
							return scores, sum(lowerCamelCase_						) / len(lowerCamelCase_						)



		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 :    Dict							=							None
		with patch('comet.load_from_checkpoint'			) as mock_load_from_checkpoint:
			_lowercase :    str							=							load_from_checkpoint
			yield







def      __lowerCAmelCase(		):






	"""simple docstring"""





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



