

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   )    ->					Union[str, Any]:
        '''simple docstring'''






        _lowercase      			=FlaxMTaForConditionalGeneration.from_pretrained('google/mt5-small'   )
        _lowercase      			=AutoTokenizer.from_pretrained('google/mt5-small'   )

        _lowercase      			=tokenizer('Hello there'				,  return_tensors='np'   ).input_ids
        _lowercase      			=tokenizer('Hi I am'				,  return_tensors='np'   ).input_ids

        _lowercase      			=shift_tokens_right(lowerCAmelCase				,  model.config.pad_token_id				,  model.config.decoder_start_token_id   )

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

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

        _lowercase      			=-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


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





class 					__lowerCAmelCase	(   folder_based_builder.FolderBasedBuilderConfig				):
  _a		     =    None
  _a		     =    None





class 					__lowerCAmelCase	(   folder_based_builder.FolderBasedBuilder				):
  _a		     =    datasets.Audio()
  _a		     =    """audio"""
  _a		     =    AudioFolderConfig
  _a		     =    42  # definition at the bottom of the script
  _a		     =    AudioClassification(audio_column="""audio"""     ,     label_column="""label"""				)
lowercase_   							=  [
    '.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',
]
lowercase_   							=  AUDIO_EXTENSIONS


