
import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
			import optax
			from flax.training.common_utils import onehot

			from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
			from transformers.models.ta.modeling_flax_ta import shift_tokens_right





@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class       _lowerCAmelCase   (      unittest.TestCase			):




				@slow
				def 	__a		(   self	)							-> List[Any]:
							lowerCAmelCase_         =      FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"	)
							lowerCAmelCase_         =      AutoTokenizer.from_pretrained("google/mt5-small"	)

							lowerCAmelCase_         =      tokenizer("Hello there"							,							return_tensors="np"	).input_ids
							lowerCAmelCase_         =      tokenizer("Hi I am"							,							return_tensors="np"	).input_ids

							lowerCAmelCase_         =      shift_tokens_right(_UpperCamelCase							,							model.config.pad_token_id							,							model.config.decoder_start_token_id	)

							lowerCAmelCase_         =      model(_UpperCamelCase							,							decoder_input_ids=_UpperCamelCase	).logits
							lowerCAmelCase_         =      optax.softmax_cross_entropy(_UpperCamelCase							,							onehot(_UpperCamelCase							,							logits.shape[-1]	)	).mean()

							lowerCAmelCase_         =      -(labels.shape[-1] * loss.item())

							lowerCAmelCase_         =      -84.9127
							self.assertTrue(abs(mtf_score - EXPECTED_SCORE	) < 1e-4	)





from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


_A  =	datasets.utils.logging.get_logger(__name__)





class       _lowerCAmelCase   (      folder_based_builder.FolderBasedBuilderConfig			):
				_lowercase     						=None
				_lowercase     						=None





class       _lowerCAmelCase   (      folder_based_builder.FolderBasedBuilder			):
				_lowercase     						=datasets.Audio()
				_lowercase     						='''audio'''
				_lowercase     						=AudioFolderConfig
				_lowercase     						=42  # definition at the bottom of the script
				_lowercase     						=AudioClassification(audio_column='''audio'''   , label_column='''label'''			)


_A  =	[
    ".aiff",
    ".au",
    ".avr",
    ".caf",
    ".flac",
    ".htk",
    ".svx",
    ".mat4",
    ".mat5",
    ".mpc2k",
    ".ogg",
    ".paf",
    ".pvf",
    ".raw",
    ".rf64",
    ".sd2",
    ".sds",
    ".ircam",
    ".voc",
    ".w64",
    ".wav",
    ".nist",
    ".wavex",
    ".wve",
    ".xi",
    ".mp3",
    ".opus",
]
_A  =	AUDIO_EXTENSIONS



