





'''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 					a_     (				unittest.TestCase       ):

    '''simple docstring'''


    def 			snake_case_(		self       )		->   List[Any]:
        _SCREAMING_SNAKE_CASE									=			"""laion/clap-htsat-unfused"""
        _SCREAMING_SNAKE_CASE									=			tempfile.mkdtemp()


    def 			snake_case_(		self ,		**A       )		->   int:
        return RobertaTokenizer.from_pretrained(self.checkpoint ,		**A       )


    def 			snake_case_(		self ,		**A       )		->   Optional[int]:
        return ClapFeatureExtractor.from_pretrained(self.checkpoint ,		**A       )


    def 			snake_case_(		self       )		->   Dict:
        shutil.rmtree(self.tmpdirname       )


    def 			snake_case_(		self       )		->   Union[str, Any]:
        _SCREAMING_SNAKE_CASE									=			self.get_tokenizer()
        _SCREAMING_SNAKE_CASE									=			self.get_feature_extractor()

        _SCREAMING_SNAKE_CASE									=			ClapProcessor(tokenizer=A ,		feature_extractor=A       )

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

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

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


    def 			snake_case_(		self       )		->   List[str]:
        _SCREAMING_SNAKE_CASE									=			ClapProcessor(tokenizer=self.get_tokenizer() ,		feature_extractor=self.get_feature_extractor()       )
        processor.save_pretrained(self.tmpdirname       )

        _SCREAMING_SNAKE_CASE									=			self.get_tokenizer(bos_token="""(BOS)""" ,		eos_token="""(EOS)"""       )
        _SCREAMING_SNAKE_CASE									=			self.get_feature_extractor(do_normalize=A ,		padding_value=1.0       )

        _SCREAMING_SNAKE_CASE									=			ClapProcessor.from_pretrained(
            self.tmpdirname ,		bos_token="""(BOS)""" ,		eos_token="""(EOS)""" ,		do_normalize=A ,		padding_value=1.0       )

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

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


    def 			snake_case_(		self       )		->   List[Any]:
        _SCREAMING_SNAKE_CASE									=			self.get_feature_extractor()
        _SCREAMING_SNAKE_CASE									=			self.get_tokenizer()

        _SCREAMING_SNAKE_CASE									=			ClapProcessor(tokenizer=A ,		feature_extractor=A       )

        _SCREAMING_SNAKE_CASE									=			floats_list((3, 1000)       )

        _SCREAMING_SNAKE_CASE									=			feature_extractor(A ,		return_tensors="""np"""       )
        _SCREAMING_SNAKE_CASE									=			processor(audios=A ,		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       )		->   str:
        _SCREAMING_SNAKE_CASE									=			self.get_feature_extractor()
        _SCREAMING_SNAKE_CASE									=			self.get_tokenizer()

        _SCREAMING_SNAKE_CASE									=			ClapProcessor(tokenizer=A ,		feature_extractor=A       )

        _SCREAMING_SNAKE_CASE									=			"""This is a test string"""

        _SCREAMING_SNAKE_CASE									=			processor(text=A       )

        _SCREAMING_SNAKE_CASE									=			tokenizer(A       )

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


    def 			snake_case_(		self       )		->   Any:
        _SCREAMING_SNAKE_CASE									=			self.get_feature_extractor()
        _SCREAMING_SNAKE_CASE									=			self.get_tokenizer()

        _SCREAMING_SNAKE_CASE									=			ClapProcessor(tokenizer=A ,		feature_extractor=A       )

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

        _SCREAMING_SNAKE_CASE									=			processor.batch_decode(A       )
        _SCREAMING_SNAKE_CASE									=			tokenizer.batch_decode(A       )

        self.assertListEqual(A ,		A       )





    def 			snake_case_(		self       )		->   Tuple:
        _SCREAMING_SNAKE_CASE									=			self.get_feature_extractor()
        _SCREAMING_SNAKE_CASE									=			self.get_tokenizer()

        _SCREAMING_SNAKE_CASE									=			ClapProcessor(tokenizer=A ,		feature_extractor=A       )

        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"""





import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


_a														=		"""http://www.mocksite.com/file1.txt"""
_a														=		"""\"text\": [\"foo\", \"foo\"]"""
_a														=		"""6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"""






class     _UpperCAmelCase:
		lowercase__						=      2_00
		lowercase__						=      {'Content-Length': '100'}
		lowercase__						=      {}



		def 						UpperCAmelCase							(					self				,		**__a)       ->       Optional[int]:






							'''simple docstring'''
							return [bytes(__a				,		'''utf-8''')]





def       lowerCamelCase__		(			*__snake_case,     **__snake_case	)							->		int:


					"""simple docstring"""





					return MockResponse()



@pytest.mark.parametrize('''urls_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		Dict:


					"""simple docstring"""





					import requests

					monkeypatch.setattr(__snake_case,     '''request''',     __snake_case	)

					_UpperCamelCase							 =  URL
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  url
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [url]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': url}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  '''downloads'''
					_UpperCamelCase							 =  tmp_path
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=os.path.join(__snake_case,     __snake_case	),     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.download(__snake_case	)
					_UpperCamelCase							 =  urls
					for downloaded_paths in [downloaded_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [downloaded_paths]
															_UpperCamelCase							 =  [urls]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in downloaded_paths.keys()
															_UpperCamelCase							 =  downloaded_paths.values()
															_UpperCamelCase							 =  urls.values()
										assert downloaded_paths
										for downloaded_path, input_url in zip(__snake_case,     __snake_case	):
															assert downloaded_path == dl_manager.downloaded_paths[input_url]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  downloaded_path.parts
															assert parts[-1] == HASH
															assert parts[-2] == cache_subdir
															assert downloaded_path.exists()
															_UpperCamelCase							 =  downloaded_path.read_text()
															assert content == CONTENT
															_UpperCamelCase							 =  downloaded_path.with_suffix('''.json'''	)
															assert metadata_downloaded_path.exists()
															_UpperCamelCase							 =  json.loads(metadata_downloaded_path.read_text()	)
															assert metadata_content == {"url": URL, "etag": None}



@pytest.mark.parametrize('''paths_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase							 =  str(__snake_case	)
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  filename
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [filename]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': filename}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  xz_file.parent
					_UpperCamelCase							 =  '''extracted'''
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=__snake_case,     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.extract(__snake_case	)
					_UpperCamelCase							 =  paths
					for extracted_paths in [extracted_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [extracted_paths]
															_UpperCamelCase							 =  [paths]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in extracted_paths.keys()
															_UpperCamelCase							 =  extracted_paths.values()
															_UpperCamelCase							 =  paths.values()
										assert extracted_paths
										for extracted_path, input_path in zip(__snake_case,     __snake_case	):
															assert extracted_path == dl_manager.extracted_paths[input_path]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  extracted_path.parts
															assert parts[-1] == hash_url_to_filename(__snake_case,     etag=__snake_case	)
															assert parts[-2] == extracted_subdir
															assert extracted_path.exists()
															_UpperCamelCase							 =  extracted_path.read_text()
															_UpperCamelCase							 =  text_file.read_text()
															assert extracted_file_content == expected_file_content



def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		Optional[Any]:


					"""simple docstring"""





					assert path.endswith('''.jsonl'''	)
					for num_items, line in enumerate(__snake_case,     start=1	):
										_UpperCamelCase							 =  json.loads(line.decode('''utf-8'''	)	)
										assert item.keys() == {"col_1", "col_2", "col_3"}
					assert num_items == 4



@pytest.mark.parametrize('''archive_jsonl''',     ['''tar_jsonl_path''', '''zip_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										_test_jsonl(__snake_case,     __snake_case	)
					assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl''',     ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
															_test_jsonl(__snake_case,     __snake_case	)
					assert num_tar == 1
					assert num_jsonl == 2



def       lowerCamelCase__		(			__snake_case	)							->		Dict:


					"""simple docstring"""





					_UpperCamelCase							 =  DownloadManager()
					for num_file, file in enumerate(dl_manager.iter_files(__snake_case	),     start=1	):
										assert os.path.basename(__snake_case	) == ("test.txt" if num_file == 1 else "train.txt")
					assert num_file == 2






