




import random
import shutil
import tempfile
import unittest

import numpy as np

from transformers import TaTokenizer, TaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torch
from transformers.utils.import_utils import is_speech_available, is_torch_available


if is_torch_available():
 pass

if is_speech_available():
 from transformers import EncodecFeatureExtractor, MusicgenProcessor


_lowerCamelCase			 =						random.Random()




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						List[Any]       ,     __UpperCamelCase			:						List[Any]=1.0       ,     __UpperCamelCase			:						Any=None       ,     __UpperCamelCase			:						List[str]=None      )  ->							Any:
    if rng is None:
        UpperCAmelCase_							 =     global_rng

    UpperCAmelCase_							 =     []
    for batch_idx in range(shape[0]      ):
        values.append([]      )
        for _ in range(shape[1]      ):
            values[-1].append(rng.random() * scale      )

    return values



@require_torch
@require_sentencepiece
class 			a     (   unittest.TestCase			):

     '''simple docstring'''





     def   lowerCamelCase_   (	self   :			int				):
         UpperCAmelCase_							 =     '''facebook/musicgen-small'''
         UpperCAmelCase_							 =     tempfile.mkdtemp()
     def   lowerCamelCase_   (	self   :			Optional[int]					,    **__snake_case   :			Tuple				):
         return TaTokenizer.from_pretrained(self.checkpoint					,    **__snake_case				)
     def   lowerCamelCase_   (	self   :			List[str]					,    **__snake_case   :			List[Any]				):
         return EncodecFeatureExtractor.from_pretrained(self.checkpoint					,    **__snake_case				)
     def   lowerCamelCase_   (	self   :			Tuple				):
         shutil.rmtree(self.tmpdirname				)
     def   lowerCamelCase_   (	self   :			int				):
         UpperCAmelCase_							 =     self.get_tokenizer()
         UpperCAmelCase_							 =     self.get_feature_extractor()

         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=__snake_case					,    feature_extractor=__snake_case				)

         processor.save_pretrained(self.tmpdirname				)
         UpperCAmelCase_							 =     MusicgenProcessor.from_pretrained(self.tmpdirname				)

         self.assertEqual(processor.tokenizer.get_vocab()					,    tokenizer.get_vocab()				)
         self.assertIsInstance(processor.tokenizer					,    __snake_case				)

         self.assertEqual(processor.feature_extractor.to_json_string()					,    feature_extractor.to_json_string()				)
         self.assertIsInstance(processor.feature_extractor					,    __snake_case				)
     def   lowerCamelCase_   (	self   :			Any				):
         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=self.get_tokenizer()					,    feature_extractor=self.get_feature_extractor()				)
         processor.save_pretrained(self.tmpdirname				)

         UpperCAmelCase_							 =     self.get_tokenizer(bos_token='''(BOS)'''					,    eos_token='''(EOS)'''				)
         UpperCAmelCase_							 =     self.get_feature_extractor(do_normalize=__snake_case					,    padding_value=1.0				)

         UpperCAmelCase_							 =     MusicgenProcessor.from_pretrained(
             self.tmpdirname					,    bos_token='''(BOS)'''					,    eos_token='''(EOS)'''					,    do_normalize=__snake_case					,    padding_value=1.0				)

         self.assertEqual(processor.tokenizer.get_vocab()					,    tokenizer_add_kwargs.get_vocab()				)
         self.assertIsInstance(processor.tokenizer					,    __snake_case				)

         self.assertEqual(processor.feature_extractor.to_json_string()					,    feature_extractor_add_kwargs.to_json_string()				)
         self.assertIsInstance(processor.feature_extractor					,    __snake_case				)
     def   lowerCamelCase_   (	self   :			Tuple				):
         UpperCAmelCase_							 =     self.get_feature_extractor()
         UpperCAmelCase_							 =     self.get_tokenizer()

         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=__snake_case					,    feature_extractor=__snake_case				)

         UpperCAmelCase_							 =     floats_list((3, 10_00)				)

         UpperCAmelCase_							 =     feature_extractor(__snake_case					,    return_tensors='''np'''				)
         UpperCAmelCase_							 =     processor(__snake_case					,    return_tensors='''np'''				)

         for key in input_feat_extract.keys():
             self.assertAlmostEqual(input_feat_extract[key].sum()					,    input_processor[key].sum()					,    delta=1E-2				)
     def   lowerCamelCase_   (	self   :			List[Any]				):
         UpperCAmelCase_							 =     self.get_feature_extractor()
         UpperCAmelCase_							 =     self.get_tokenizer()

         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=__snake_case					,    feature_extractor=__snake_case				)

         UpperCAmelCase_							 =     '''This is a test string'''

         UpperCAmelCase_							 =     processor(text=__snake_case				)

         UpperCAmelCase_							 =     tokenizer(__snake_case				)

         for key in encoded_tok.keys():
             self.assertListEqual(encoded_tok[key]					,    encoded_processor[key]				)
     def   lowerCamelCase_   (	self   :			Optional[Any]				):
         UpperCAmelCase_							 =     self.get_feature_extractor()
         UpperCAmelCase_							 =     self.get_tokenizer()

         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=__snake_case					,    feature_extractor=__snake_case				)

         UpperCAmelCase_							 =     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

         UpperCAmelCase_							 =     processor.batch_decode(sequences=__snake_case				)
         UpperCAmelCase_							 =     tokenizer.batch_decode(__snake_case				)

         self.assertListEqual(__snake_case					,    __snake_case				)
     def   lowerCamelCase_   (	self   :			Optional[Any]				):
         UpperCAmelCase_							 =     self.get_feature_extractor()
         UpperCAmelCase_							 =     self.get_tokenizer()

         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=__snake_case					,    feature_extractor=__snake_case				)

         self.assertListEqual(
             processor.model_input_names					,    feature_extractor.model_input_names					,    msg='''`processor` and `feature_extractor` model input names do not match'''					,    )




     def   lowerCamelCase_   (	self   :			Optional[int]				):
         UpperCAmelCase_							 =     self.get_feature_extractor(padding_side='''left'''				)
         UpperCAmelCase_							 =     self.get_tokenizer()

         UpperCAmelCase_							 =     MusicgenProcessor(tokenizer=__snake_case					,    feature_extractor=__snake_case				)

         UpperCAmelCase_							 =     [floats_list((1, x)				)[0] for x in range(5					,    20					,    5				)]
         UpperCAmelCase_							 =     processor(__snake_case				).padding_mask

         UpperCAmelCase_							 =     np.asarray(floats_list((3, 20)				)				)[:, None, :]
         UpperCAmelCase_							 =     processor.batch_decode(__snake_case					,    padding_mask=__snake_case				)

         self.assertIsInstance(__snake_case					,    __snake_case				)

         for audio in decoded_audios:
             self.assertIsInstance(__snake_case					,    np.ndarray				)

         self.assertTrue(decoded_audios[0].shape == (1, 10)				)
         self.assertTrue(decoded_audios[1].shape == (1, 15)				)
         self.assertTrue(decoded_audios[2].shape == (1, 20)				)











from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


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



class 			a     (   folder_based_builder.FolderBasedBuilderConfig			):

     '''simple docstring'''





     lowerCAmelCase				:       bool   		=  None
     lowerCAmelCase				:       bool   		=  None



class 			a     (   folder_based_builder.FolderBasedBuilder			):

     '''simple docstring'''





     lowerCAmelCase				:       List[Any]   		=  datasets.Image()
     lowerCAmelCase				:       List[Any]   		=  'image'
     lowerCAmelCase				:       List[Any]   		=  ImageFolderConfig
     lowerCAmelCase				:       List[str]  # definition at the bottom of the script
     lowerCAmelCase				:       Dict   		=  ImageClassification(image_column='image'	,   label_column='label'			)


_lowerCamelCase			 =						[
    '.blp',
    '.bmp',
    '.dib',
    '.bufr',
    '.cur',
    '.pcx',
    '.dcx',
    '.dds',
    '.ps',
    '.eps',
    '.fit',
    '.fits',
    '.fli',
    '.flc',
    '.ftc',
    '.ftu',
    '.gbr',
    '.gif',
    '.grib',
    '.h5',
    '.hdf',
    '.png',
    '.apng',
    '.jp2',
    '.j2k',
    '.jpc',
    '.jpf',
    '.jpx',
    '.j2c',
    '.icns',
    '.ico',
    '.im',
    '.iim',
    '.tif',
    '.tiff',
    '.jfif',
    '.jpe',
    '.jpg',
    '.jpeg',
    '.mpg',
    '.mpeg',
    '.msp',
    '.pcd',
    '.pxr',
    '.pbm',
    '.pgm',
    '.ppm',
    '.pnm',
    '.psd',
    '.bw',
    '.rgb',
    '.rgba',
    '.sgi',
    '.ras',
    '.tga',
    '.icb',
    '.vda',
    '.vst',
    '.webp',
    '.wmf',
    '.emf',
    '.xbm',
    '.xpm',
]
_lowerCamelCase			 =						IMAGE_EXTENSIONS





