
from typing import List

from packaging import version
from sklearn.metrics import fa_score

import datasets
from datasets.config import PY_VERSION


if PY_VERSION < version.parse("3.8"):
				import importlib_metadata
else:
				import importlib.metadata as importlib_metadata


# TODO(Patrick/Anton)
lowercase__				:				Optional[int]						=      "\\n"

lowercase__				:				str						=      "\\n    XTREME-S is a benchmark to evaluate universal cross-lingual speech representations in many languages.\n    XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval.\n"

lowercase__				:				Any						=      "\nCompute XTREME-S evaluation metric associated to each XTREME-S dataset.\nArgs:\n    predictions: list of predictions to score.\n        Each translation should be tokenized into a list of tokens.\n    references: list of lists of references for each translation.\n        Each reference should be tokenized into a list of tokens.\n    bleu_kwargs: optional dict of keywords to be passed when computing 'bleu'.\n        Keywords include Dict can be one of 'smooth_method', 'smooth_value', 'force', 'lowercase',\n        'tokenize', 'use_effective_order'.\n    wer_kwargs: optional dict of keywords to be passed when computing 'wer' and 'cer'.\n        Keywords include 'concatenate_texts'.\nReturns: depending on the XTREME-S task, one or several of:\n    \"accuracy\": Accuracy - for 'fleurs-lang_id', 'minds14'\n    \"f1\": F1 score - for 'minds14'\n    \"wer\": Word error rate - for 'mls', 'fleurs-asr', 'voxpopuli', 'babel'\n    \"cer\": Character error rate - for 'mls', 'fleurs-asr', 'voxpopuli', 'babel'\n    \"bleu\": BLEU score according to the `sacrebleu` metric - for 'covost2'\nExamples:\n\n    >>> xtreme_s_metric = datasets.load_metric('xtreme_s', 'mls')  # 'mls', 'voxpopuli', 'fleurs-asr' or 'babel'\n    >>> references = [\"it is sunny here\", \"paper and pen are essentials\"]\n    >>> predictions = [\"it's sunny\", \"paper pen are essential\"]\n    >>> results = xtreme_s_metric.compute(predictions=predictions, references=references)\n    >>> print({k: round(v, 2) for k, v in results.items()})\n    {'wer': 0.56, 'cer': 0.27}\n\n    >>> xtreme_s_metric = datasets.load_metric('xtreme_s', 'covost2')\n    >>> references = [\"bonjour paris\", \"il est necessaire de faire du sport de temps en temp\"]\n    >>> predictions = [\"bonjour paris\", \"il est important de faire du sport souvent\"]\n    >>> results = xtreme_s_metric.compute(predictions=predictions, references=references)\n    >>> print({k: round(v, 2) for k, v in results.items()})\n    {'bleu': 31.65}\n\n    >>> xtreme_s_metric = datasets.load_metric('xtreme_s', 'fleurs-lang_id')\n    >>> references = [0, 1, 0, 0, 1]\n    >>> predictions = [0, 1, 1, 0, 0]\n    >>> results = xtreme_s_metric.compute(predictions=predictions, references=references)\n    >>> print({k: round(v, 2) for k, v in results.items()})\n    {'accuracy': 0.6}\n\n    >>> xtreme_s_metric = datasets.load_metric('xtreme_s', 'minds14')\n    >>> references = [0, 1, 0, 0, 1]\n    >>> predictions = [0, 1, 1, 0, 0]\n    >>> results = xtreme_s_metric.compute(predictions=predictions, references=references)\n    >>> print({k: round(v, 2) for k, v in results.items()})\n    {'f1': 0.58, 'accuracy': 0.6}\n"

lowercase__				:				Optional[int]						=      ["fleurs-asr", "mls", "voxpopuli", "babel", "covost2", "fleurs-lang_id", "minds14"]
lowercase__				:				Tuple						=      ""

try:
				from jiwer import transforms as tr

				lowercase__				:				int						=      True
except ImportError:
				lowercase__				:				Any						=      False

if _jiwer_available and version.parse(importlib_metadata.version("jiwer")) < version.parse("2.3.0"):






				class 							SCREAMING_SNAKE_CASE__     (				tr.AbstractTransform     ):

											"""simple docstring"""






											def __init__(	self  ,						SCREAMING_SNAKE_CASE_ = " "      )-> str:





																	'''simple docstring'''






																	__UpperCamelCase  	=      sentence_delimiter



											def      A__		(	self  ,						SCREAMING_SNAKE_CASE_      )-> Optional[int]:





																	'''simple docstring'''






																	return list(SCREAMING_SNAKE_CASE_      )



											def      A__		(	self  ,						SCREAMING_SNAKE_CASE_      )-> List[Any]:





																	'''simple docstring'''






																	__UpperCamelCase  	=      []
																	for sent_idx, sentence in enumerate(SCREAMING_SNAKE_CASE_      ):
																							chars.extend(self.process_string(SCREAMING_SNAKE_CASE_      )      )
																							if self.sentence_delimiter is not None and self.sentence_delimiter != "" and sent_idx < len(SCREAMING_SNAKE_CASE_      ) - 1:
																													chars.append(self.sentence_delimiter      )
																	return chars





				lowercase__				:				int						=      tr.Compose(
				    [tr.RemoveMultipleSpaces(), tr.Strip(), SentencesToListOfCharacters(SENTENCE_DELIMITER)]
				)
elif _jiwer_available:
				lowercase__				:				Optional[int]						=      tr.Compose(
				    [
				        tr.RemoveMultipleSpaces(),
				        tr.Strip(),
				        tr.ReduceToSingleSentence(SENTENCE_DELIMITER),
				        tr.ReduceToListOfListOfChars(),
				    ]
				)
else:
				lowercase__				:				int						=      None




def 						A_			(				snake_case				: List[str]			,   snake_case				: int			)   ->     str:



						'''simple docstring'''

						return float((preds == labels).mean()			)




def 						A_			(				snake_case				: Any			,   snake_case				: str			)   ->     Union[str, Any]:



						'''simple docstring'''

						return {
						    "f1": float(fa_score(y_true=snake_case			,   y_pred=snake_case			,   average='''macro'''			)			),
						    "accuracy": simple_accuracy(snake_case			,   snake_case			),
						}




def 						A_			(				snake_case				: Any			,   snake_case				: Tuple			,   snake_case				: Dict="exp"			,   snake_case				: Dict=None			,   snake_case				: Any=False			,   snake_case				: Union[str, Any]=False			,   snake_case				: int=None			,   snake_case				: Any=False			,   )   ->     List[str]:



						'''simple docstring'''

						__UpperCamelCase  	=      [[label] for label in labels]
						__UpperCamelCase  	=      list(snake_case			)
						try:
												import sacrebleu as scb
						except ImportError:
												raise ValueError(
												    '''sacrebleu has to be installed in order to apply the bleu metric for covost2.'''
												    '''You can install it via `pip install sacrebleu`.'''			)

						if version.parse(scb.__version__			) < version.parse('''1.4.12'''			):
												raise ImportWarning(
												    '''To use `sacrebleu`, the module `sacrebleu>=1.4.12` is required, and the current version of `sacrebleu` doesn\'t match this condition.\n'''
												    '''You can install it with `pip install "sacrebleu>=1.4.12"`.'''			)

						__UpperCamelCase  	=      len(labels[0]			)
						if any(len(snake_case			) != references_per_prediction for refs in labels			):
												raise ValueError('''Sacrebleu requires the same number of references for each prediction'''			)
						__UpperCamelCase  	=      [[refs[i] for refs in labels] for i in range(snake_case			)]
						__UpperCamelCase  	=      scb.corpus_bleu(
						    snake_case			,   snake_case			,   smooth_method=snake_case			,   smooth_value=snake_case			,   force=snake_case			,   lowercase=snake_case			,   use_effective_order=snake_case			,   **({'''tokenize''': tokenize} if tokenize else {})			,   )
						return {"bleu": output.score}




def 						A_			(				snake_case				: str			,   snake_case				: Dict			,   snake_case				: Tuple			,   snake_case				: Tuple			)   ->     Dict:



						'''simple docstring'''

						try:
												from jiwer import compute_measures
						except ImportError:
												raise ValueError(
												    f"jiwer has to be installed in order to apply the wer metric for {config_name}."
												    '''You can install it via `pip install jiwer`.'''			)

						if concatenate_texts:
												__UpperCamelCase  	=      compute_measures(snake_case			,   snake_case			)['''wer''']

												__UpperCamelCase  	=      compute_measures(snake_case			,   snake_case			,   truth_transform=snake_case			,   hypothesis_transform=snake_case			)['''wer''']
												return {"wer": wer, "cer": cer}
						else:

												def compute_score(snake_case				: int			,   snake_case				: Optional[Any]			,   snake_case				: Dict="wer"			):
																		__UpperCamelCase  	=      0
																		__UpperCamelCase  	=      0
																		for prediction, reference in zip(snake_case			,   snake_case			):
																								if score_type == "wer":
																														__UpperCamelCase  	=      compute_measures(snake_case			,   snake_case			)
																								elif score_type == "cer":
																														__UpperCamelCase  	=      compute_measures(
																														    snake_case			,   snake_case			,   truth_transform=snake_case			,   hypothesis_transform=snake_case			)
																								incorrect += measures["substitutions"] + measures["deletions"] + measures["insertions"]
																								total += measures["substitutions"] + measures["deletions"] + measures["hits"]
																		return incorrect / total

												return {"wer": compute_score(snake_case			,   snake_case			,   '''wer'''			), "cer": compute_score(snake_case			,   snake_case			,   '''cer'''			)}






@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION ,		_KWARGS_DESCRIPTION     )
class 							SCREAMING_SNAKE_CASE__     (				datasets.Metric     ):

							"""simple docstring"""






							def      A__		(	self      )-> List[str]:





													'''simple docstring'''






													if self.config_name not in _CONFIG_NAMES:
																			raise KeyError(F"You should supply a configuration name selected in {_CONFIG_NAMES}"      )

													__UpperCamelCase  	=      '''int64''' if self.config_name in ['''fleurs-lang_id''', '''minds14'''] else '''string'''

													return datasets.MetricInfo(
													    description=_DESCRIPTION  ,						citation=_CITATION  ,						inputs_description=_KWARGS_DESCRIPTION  ,						features=datasets.Features(
													        {'''predictions''': datasets.Value(SCREAMING_SNAKE_CASE_      ), '''references''': datasets.Value(SCREAMING_SNAKE_CASE_      )}      )  ,						codebase_urls=[]  ,						reference_urls=[]  ,						format='''numpy'''  ,						)



							def      A__		(	self  ,						SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_=None  ,						SCREAMING_SNAKE_CASE_=None      )-> List[Any]:





													'''simple docstring'''






													__UpperCamelCase  	=      bleu_kwargs if bleu_kwargs is not None else {}
													__UpperCamelCase  	=      wer_kwargs if wer_kwargs is not None else {}

													if self.config_name == "fleurs-lang_id":
																			return {"accuracy": simple_accuracy(SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_      )}
													elif self.config_name == "minds14":
																			return fa_and_simple_accuracy(SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_      )
													elif self.config_name == "covost2":
																			__UpperCamelCase  	=      bleu_kwargs.pop('''smooth_method'''  ,						'''exp'''      )
																			__UpperCamelCase  	=      bleu_kwargs.pop('''smooth_value'''  ,						SCREAMING_SNAKE_CASE_      )
																			__UpperCamelCase  	=      bleu_kwargs.pop('''force'''  ,						SCREAMING_SNAKE_CASE_      )
																			__UpperCamelCase  	=      bleu_kwargs.pop('''lowercase'''  ,						SCREAMING_SNAKE_CASE_      )
																			__UpperCamelCase  	=      bleu_kwargs.pop('''tokenize'''  ,						SCREAMING_SNAKE_CASE_      )
																			__UpperCamelCase  	=      bleu_kwargs.pop('''use_effective_order'''  ,						SCREAMING_SNAKE_CASE_      )
																			return bleu(
																			    preds=SCREAMING_SNAKE_CASE_  ,						labels=SCREAMING_SNAKE_CASE_  ,						smooth_method=SCREAMING_SNAKE_CASE_  ,						smooth_value=SCREAMING_SNAKE_CASE_  ,						force=SCREAMING_SNAKE_CASE_  ,						lowercase=SCREAMING_SNAKE_CASE_  ,						tokenize=SCREAMING_SNAKE_CASE_  ,						use_effective_order=SCREAMING_SNAKE_CASE_  ,						)
													elif self.config_name in ["fleurs-asr", "mls", "voxpopuli", "babel"]:
																			__UpperCamelCase  	=      wer_kwargs.pop('''concatenate_texts'''  ,						SCREAMING_SNAKE_CASE_      )
																			return wer_and_cer(SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_  ,						self.config_name      )
													else:
																			raise KeyError(F"You should supply a configuration name selected in {_CONFIG_NAMES}"      )






'''simple docstring'''







import posixpath
from pathlib import Path
from unittest.mock import patch

import pytest
from fsspec.implementations.local import AbstractFileSystem, LocalFileSystem, stringify_path
from fsspec.registry import _registry as _fsspec_registry






class 					lowerCAmelCase__  (    lowerCamelCase_	):
					lowerCAmelCase_	  =	'''mock'''






					def __init__(  self							,				*__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											super().__init__()
											lowercase_      :	int						=			LocalFileSystem(*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)
											lowercase_      :	Tuple						=			Path(__SCREAMING_SNAKE_CASE						).resolve().as_posix() + '''/'''






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	List[str]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.mkdir(__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Optional[int]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.makedirs(__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Any						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.rmdir(__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE=True							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	str						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											lowercase_      :	Union[str, Any]						=			self._fs.ls(__SCREAMING_SNAKE_CASE							,				detail=__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)
											if detail:
																	return [{**info, "name": info["name"][len(self.local_root_dir						) :]} for info in out]
											else:
																	return [name[len(self.local_root_dir						) :] for name in out]






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Optional[int]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											lowercase_      :	Optional[Any]						=			dict(self._fs.info(__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)						)
											lowercase_      :	Dict						=			out['''name'''][len(self.local_root_dir						) :]
											return out






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	List[str]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											lowercase_      :	str						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.cp_file(__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	List[Any]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.rm_file(__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Union[str, Any]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.rm(__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Union[str, Any]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs._open(__SCREAMING_SNAKE_CASE							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Dict						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.created(__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Optional[Any]						=			posixpath.join(self.local_root_dir							,				self._strip_protocol(__SCREAMING_SNAKE_CASE						)						)
											return self._fs.modified(__SCREAMING_SNAKE_CASE						)






					@classmethod
					def       _snake_case       (  cls							,				__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	Optional[Any]						=			stringify_path(__SCREAMING_SNAKE_CASE						)
											if path.startswith('''mock://'''						):
																	lowercase_      :	int						=			path[7:]
											return path







class 					lowerCAmelCase__  (    lowerCamelCase_	):
					lowerCAmelCase_	  =	'''tmp'''
					lowerCAmelCase_	  =	None






					def __init__(  self							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											assert self.tmp_dir is not None, "TmpDirFileSystem.tmp_dir is not set"
											super().__init__(*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE							,				local_root_dir=self.tmp_dir							,				auto_mkdir=__SCREAMING_SNAKE_CASE						)






					@classmethod
					def       _snake_case       (  cls							,				__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											lowercase_      :	str						=			stringify_path(__SCREAMING_SNAKE_CASE						)
											if path.startswith('''tmp://'''						):
																	lowercase_      :	Union[str, Any]						=			path[6:]
											return path







@pytest.fixture
def    snake_case_						(							):



						"""simple docstring"""





						lowercase_      :	List[Any]						=			MockFileSystem
						lowercase_      :	Tuple						=			TmpDirFileSystem
						yield
						del _fsspec_registry["mock"]
						del _fsspec_registry["tmp"]
@pytest.fixture
def    snake_case_						(							__SCREAMING_SNAKE_CASE   :					List[Any] , __SCREAMING_SNAKE_CASE   :					List[Any]				):



						"""simple docstring"""





						lowercase_      :	List[str]						=			tmp_path_factory.mktemp('''mockfs'''				)
						return MockFileSystem(local_root_dir=__SCREAMING_SNAKE_CASE , auto_mkdir=__SCREAMING_SNAKE_CASE				)




@pytest.fixture
def    snake_case_						(							__SCREAMING_SNAKE_CASE   :					Union[str, Any] , __SCREAMING_SNAKE_CASE   :					Any				):



						"""simple docstring"""





						lowercase_      :	Union[str, Any]						=			tmp_path_factory.mktemp('''tmpfs'''				)
						with patch.object(__SCREAMING_SNAKE_CASE , '''tmp_dir''' , __SCREAMING_SNAKE_CASE				):
												yield TmpDirFileSystem()



