"""simple docstring"""
import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list



@require_torchaudio
@require_sentencepiece
class   lowerCAmelCase_    (			unittest.TestCase					):



				"""simple docstring"""

				def 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			'laion/clap-htsat-unfused'
										snake_case								=			tempfile.mkdtemp()

				def 		snake_case (				self		,    **lowerCAmelCase    ):






										"""simple docstring"""

										return RobertaTokenizer.from_pretrained(self.checkpoint		,    **lowerCAmelCase    )

				def 		snake_case (				self		,    **lowerCAmelCase    ):






										"""simple docstring"""

										return ClapFeatureExtractor.from_pretrained(self.checkpoint		,    **lowerCAmelCase    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										shutil.rmtree(self.tmpdirname    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			self.get_tokenizer()
										snake_case								=			self.get_feature_extractor()

										snake_case								=			ClapProcessor(tokenizer=lowerCAmelCase		,    feature_extractor=lowerCAmelCase    )

										processor.save_pretrained(self.tmpdirname    )
										snake_case								=			ClapProcessor.from_pretrained(self.tmpdirname    )

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

										self.assertEqual(processor.feature_extractor.to_json_string()		,    feature_extractor.to_json_string()    )
										self.assertIsInstance(processor.feature_extractor		,    lowerCAmelCase    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			ClapProcessor(tokenizer=self.get_tokenizer()		,    feature_extractor=self.get_feature_extractor()    )
										processor.save_pretrained(self.tmpdirname    )

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

										snake_case								=			ClapProcessor.from_pretrained(
										    self.tmpdirname		,    bos_token='(BOS)'		,    eos_token='(EOS)'		,    do_normalize=lowerCAmelCase		,    padding_value=1.0    )

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

										self.assertEqual(processor.feature_extractor.to_json_string()		,    feature_extractor_add_kwargs.to_json_string()    )
										self.assertIsInstance(processor.feature_extractor		,    lowerCAmelCase    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			self.get_feature_extractor()
										snake_case								=			self.get_tokenizer()

										snake_case								=			ClapProcessor(tokenizer=lowerCAmelCase		,    feature_extractor=lowerCAmelCase    )

										snake_case								=			floats_list((3, 10_00)    )

										snake_case								=			feature_extractor(lowerCAmelCase		,    return_tensors='np'    )
										snake_case								=			processor(audios=lowerCAmelCase		,    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 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			self.get_feature_extractor()
										snake_case								=			self.get_tokenizer()

										snake_case								=			ClapProcessor(tokenizer=lowerCAmelCase		,    feature_extractor=lowerCAmelCase    )

										snake_case								=			'This is a test string'

										snake_case								=			processor(text=lowerCAmelCase    )

										snake_case								=			tokenizer(lowerCAmelCase    )

										for key in encoded_tok.keys():
																self.assertListEqual(encoded_tok[key]		,    encoded_processor[key]    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			self.get_feature_extractor()
										snake_case								=			self.get_tokenizer()

										snake_case								=			ClapProcessor(tokenizer=lowerCAmelCase		,    feature_extractor=lowerCAmelCase    )

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

										snake_case								=			processor.batch_decode(lowerCAmelCase    )
										snake_case								=			tokenizer.batch_decode(lowerCAmelCase    )

										self.assertListEqual(lowerCAmelCase		,    lowerCAmelCase    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										snake_case								=			self.get_feature_extractor()
										snake_case								=			self.get_tokenizer()

										snake_case								=			ClapProcessor(tokenizer=lowerCAmelCase		,    feature_extractor=lowerCAmelCase    )

										self.assertListEqual(
										    processor.model_input_names[2:]		,    feature_extractor.model_input_names		,    msg='`processor` and `feature_extractor` model input names do not match'		,    )



"""simple docstring"""
from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike



class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""

				def __init__(				self		,    lowerCAmelCase = None		,    lowerCAmelCase = None		,    lowerCAmelCase = None		,    lowerCAmelCase = None		,    lowerCAmelCase = False		,    lowerCAmelCase = False		,    lowerCAmelCase = None		,    **lowerCAmelCase		,    ):






										"""simple docstring"""

										snake_case								=			path_or_paths
										snake_case								=			split if split or isinstance(lowerCAmelCase		,    lowerCAmelCase    ) else 'train'
										snake_case								=			features
										snake_case								=			cache_dir
										snake_case								=			keep_in_memory
										snake_case								=			streaming
										snake_case								=			num_proc
										snake_case								=			kwargs

				@abstractmethod
				def 		snake_case (				self    ):






										"""simple docstring"""

										pass





class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""

				def __init__(				self		,    lowerCAmelCase = None		,    lowerCAmelCase = None		,    lowerCAmelCase = False		,    lowerCAmelCase = False		,    lowerCAmelCase = None		,    **lowerCAmelCase		,    ):






										"""simple docstring"""

										snake_case								=			features
										snake_case								=			cache_dir
										snake_case								=			keep_in_memory
										snake_case								=			streaming
										snake_case								=			num_proc
										snake_case								=			kwargs

				@abstractmethod
				def 		snake_case (				self    ):






										"""simple docstring"""

										pass


