



from ...processing_utils import ProcessorMixin


class       a							(			__lowerCamelCase				):
		__lowerCAmelCase	:    Union[str, Any]											=					["""image_processor""", """feature_extractor"""]
		__lowerCAmelCase	:    Dict											=					"""TvltImageProcessor"""
		__lowerCAmelCase	:    Dict											=					"""TvltFeatureExtractor"""



		def __init__(     self     :int   ,__lowercase     :int   ,__lowercase     :Union[str, Any]  ):
						super().__init__(image_processor=__lowercase   ,feature_extractor=__lowercase  )

						snake_case__	:      str     		=	image_processor
						snake_case__	:      Union[str, Any]     		=	feature_extractor



		def __call__(     self     :Tuple   ,__lowercase     :List[str]=None   ,__lowercase     :Any=None   ,__lowercase     :int=None   ,__lowercase     :Optional[int]=None   ,__lowercase     :Dict=False   ,__lowercase     :int=False   ,*__lowercase     :List[str]   ,**__lowercase     :Any   ,):

						if images is None and audio is None:
										raise ValueError('''You need to specify either an `images` or `audio` input to process.'''  )

						snake_case__	:      Tuple     		=	None
						if images is not None:
										snake_case__	:      List[Any]     		=	self.image_processor(__lowercase   ,mask_pixel=__lowercase   ,*__lowercase   ,**__lowercase  )
						if images_mixed is not None:
										snake_case__	:      Any     		=	self.image_processor(__lowercase   ,is_mixed=__lowercase   ,*__lowercase   ,**__lowercase  )
						if audio is not None:
										snake_case__	:      int     		=	self.feature_extractor(
										    __lowercase   ,*__lowercase   ,sampling_rate=__lowercase   ,mask_audio=__lowercase   ,**__lowercase  )

						snake_case__	:      Optional[Any]     		=	{}
						if audio is not None:
										output_dict.update(__lowercase  )
						if images is not None:
										output_dict.update(__lowercase  )
						if images_mixed_dict is not None:
										output_dict.update(__lowercase  )
						return output_dict






		@property
		def 	__lowerCamelCase			(     self     :Optional[int]  ):
						snake_case__	:      Dict     		=	self.image_processor.model_input_names
						snake_case__	:      int     		=	self.feature_extractor.model_input_names
						return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names  )  )






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       a							:
		__lowerCAmelCase	:    Optional[int]											=					2_00
		__lowerCAmelCase	:    List[str]											=					{"""Content-Length""": """100"""}
		__lowerCAmelCase	:    Dict											=					{}



		def 	__lowerCamelCase			(     self     :Dict   ,**__lowercase     :List[Any]  ):
						return [bytes(__lowercase   ,'''utf-8'''  )]



def 			_lowerCAmelCase       (					*__lowerCAmelCase  ,  **__lowerCAmelCase      )   ->					Optional[Any]:


				"""simple docstring"""

				return MockResponse()



@pytest.mark.parametrize('''urls_type'''  ,  [str, list, dict]      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[str]:


				"""simple docstring"""

				import requests

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

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



@pytest.mark.parametrize('''paths_type'''  ,  [str, list, dict]      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )   ->					Any:


				"""simple docstring"""

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



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[Any]:


				"""simple docstring"""

				assert path.endswith('''.jsonl'''      )
				for num_items, line in enumerate(__lowerCAmelCase  ,  start=1      ):
								snake_case__	:      Any     		=	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       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					Union[str, Any]:


				"""simple docstring"""

				snake_case__	:      Any     		=	request.getfixturevalue(__lowerCAmelCase      )
				snake_case__	:      Union[str, Any]     		=	DownloadManager()
				for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__lowerCAmelCase      )  ,  start=1      ):
								_test_jsonl(__lowerCAmelCase  ,  __lowerCAmelCase      )
				assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl'''  ,  ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']      )
def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[str]:


				"""simple docstring"""

				snake_case__	:      Union[str, Any]     		=	request.getfixturevalue(__lowerCAmelCase      )
				snake_case__	:      Optional[int]     		=	DownloadManager()
				for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__lowerCAmelCase      )  ,  start=1      ):
								for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__lowerCAmelCase      )  ,  start=1      ):
												_test_jsonl(__lowerCAmelCase  ,  __lowerCAmelCase      )
				assert num_tar == 1
				assert num_jsonl == 2





def 			_lowerCAmelCase       (					__lowerCAmelCase      )   ->					str:


				"""simple docstring"""

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

