





'''simple docstring'''


# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


_SCREAMING_SNAKE_CASE	 =							get_logger(__name__)

class    lowerCAmelCase_		:
 __lowerCamelCase						:							Dict         =					"dummy_data"
 __lowerCamelCase						:							str         =					"datasets"
 __lowerCamelCase						:							Tuple         =					False




 def __init__(	self			,     _lowerCAmelCase			,     _lowerCAmelCase			,     _lowerCAmelCase			,     _lowerCAmelCase = None			,     _lowerCAmelCase = False			,     _lowerCAmelCase = True			,     _lowerCAmelCase = None			,     )    ->							Optional[int]:
     _lowerCAmelCase				=      0
     _lowerCAmelCase				=      dataset_name
     _lowerCAmelCase				=      cache_dir
     _lowerCAmelCase				=      use_local_dummy_data
     _lowerCAmelCase				=      config
     # download_callbacks take a single url as input
     _lowerCAmelCase				=      download_callbacks or []
     # if False, it doesn't load existing files and it returns the paths of the dummy files relative
     # to the dummy_data zip file root
     _lowerCAmelCase				=      load_existing_dummy_data

     # TODO(PVP, QL) might need to make this more general
     _lowerCAmelCase				=      str(_lowerCAmelCase		)
     # to be downloaded
     _lowerCAmelCase				=      None
     _lowerCAmelCase				=      None




 @property
 def 							_snake_case   (	self		)    ->							List[Any]:
     if self._dummy_file is None:
         _lowerCAmelCase				=      self.download_dummy_data()
     return self._dummy_file




 @property
 def 							_snake_case   (	self		)    ->							List[Any]:
     if self.config is not None:
         # structure is dummy / config_name / version_name
         return os.path.join("dummy"			,     self.config.name			,     self.version_name		)
     # structure is dummy / version_name
     return os.path.join("dummy"			,     self.version_name		)




 @property
 def 							_snake_case   (	self		)    ->							List[str]:
     return os.path.join(self.dummy_data_folder			,     "dummy_data.zip"		)




 def 							_snake_case   (	self		)    ->							List[str]:
     _lowerCAmelCase				=      (
         self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
     )

     _lowerCAmelCase				=      cached_path(
         _lowerCAmelCase			,     cache_dir=self.cache_dir			,     extract_compressed_file=_lowerCAmelCase			,     force_extract=_lowerCAmelCase		)

     return os.path.join(_lowerCAmelCase			,     self.dummy_file_name		)




 @property
 def 							_snake_case   (	self		)    ->							Optional[int]:
     return os.path.join(self.datasets_scripts_dir			,     self.dataset_name			,     self.dummy_zip_file		)




 @property
 def 							_snake_case   (	self		)    ->							Optional[int]:
     if self._bucket_url is None:
         _lowerCAmelCase				=      hf_github_url(self.dataset_name			,     self.dummy_zip_file.replace(os.sep			,     "/"		)		)
     return self._bucket_url




 @property
 def 							_snake_case   (	self		)    ->							Tuple:
     # return full path if its a dir
     if os.path.isdir(self.dummy_file		):
         return self.dummy_file
     # else cut off path to file -> example `xsum`.
     return "/".join(self.dummy_file.replace(os.sep			,     "/"		).split("/"		)[:-1]		)




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     *_lowerCAmelCase		)    ->							List[Any]:
     if self.load_existing_dummy_data:
         # dummy data is downloaded and tested
         _lowerCAmelCase				=      self.dummy_file
     else:
         # dummy data cannot be downloaded and only the path to dummy file is returned
         _lowerCAmelCase				=      self.dummy_file_name

     # special case when data_url is a dict
     if isinstance(_lowerCAmelCase			,     _lowerCAmelCase		):
         return self.create_dummy_data_dict(_lowerCAmelCase			,     _lowerCAmelCase		)
     elif isinstance(_lowerCAmelCase			,     (list, tuple)		):
         return self.create_dummy_data_list(_lowerCAmelCase			,     _lowerCAmelCase		)
     else:
         return self.create_dummy_data_single(_lowerCAmelCase			,     _lowerCAmelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     *_lowerCAmelCase		)    ->							Optional[int]:
     return self.download_and_extract(_lowerCAmelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							Any:
     return self.download_and_extract(_lowerCAmelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     *_lowerCAmelCase			,     **_lowerCAmelCase		)    ->							Optional[Any]:
     return path




 def 							_snake_case   (	self		)    ->							str:
     return {}




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							Dict:
     _lowerCAmelCase				=      {}
     for key, single_urls in data_url.items():
         for download_callback in self.download_callbacks:
             if isinstance(_lowerCAmelCase			,     _lowerCAmelCase		):
                 for single_url in single_urls:
                     download_callback(_lowerCAmelCase		)
             else:
                 _lowerCAmelCase				=      single_urls
                 download_callback(_lowerCAmelCase		)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
         if isinstance(_lowerCAmelCase			,     _lowerCAmelCase		):
             _lowerCAmelCase				=      [os.path.join(_lowerCAmelCase			,     urllib.parse.quote_plus(Path(_lowerCAmelCase		).name		)		) for x in single_urls]
         else:
             _lowerCAmelCase				=      single_urls
             _lowerCAmelCase				=      os.path.join(_lowerCAmelCase			,     urllib.parse.quote_plus(Path(_lowerCAmelCase		).name		)		)
         _lowerCAmelCase				=      value

     # make sure that values are unique
     if all(isinstance(_lowerCAmelCase			,     _lowerCAmelCase		) for i in dummy_data_dict.values()		) and len(set(dummy_data_dict.values()		)		) < len(
         dummy_data_dict.values()		):
         # append key to value to make its name unique
         _lowerCAmelCase				=      {key: value + key for key, value in dummy_data_dict.items()}

     return dummy_data_dict




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							Dict:
     _lowerCAmelCase				=      []
     # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
     _lowerCAmelCase				=      all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"			,     _lowerCAmelCase		)		) for url in data_url		)
     _lowerCAmelCase				=      all(
         url.startswith("https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"		) for url in data_url		)
     if data_url and (is_tf_records or is_pubmed_records):
         _lowerCAmelCase				=      [data_url[0]] * len(_lowerCAmelCase		)
     for single_url in data_url:
         for download_callback in self.download_callbacks:
             download_callback(_lowerCAmelCase		)
         # we force the name of each key to be the last file / folder name of the url path
         # if the url has arguments, we need to encode them with urllib.parse.quote_plus
         _lowerCAmelCase				=      os.path.join(_lowerCAmelCase			,     urllib.parse.quote_plus(single_url.split("/"		)[-1]		)		)
         dummy_data_list.append(_lowerCAmelCase		)
     return dummy_data_list




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							Optional[int]:
     for download_callback in self.download_callbacks:
         download_callback(_lowerCAmelCase		)
     # we force the name of each key to be the last file / folder name of the url path
     # if the url has arguments, we need to encode them with urllib.parse.quote_plus
     _lowerCAmelCase				=      os.path.join(_lowerCAmelCase			,     urllib.parse.quote_plus(data_url.split("/"		)[-1]		)		)
     if os.path.exists(_lowerCAmelCase		) or not self.load_existing_dummy_data:
         return value
     else:
         # Backward compatibility, maybe deprecate at one point.
         # For many datasets with single url calls to dl_manager.download_and_extract,
         # the dummy_data.zip file is actually the zipped downloaded file
         # while now we expected the dummy_data.zip file to be a directory containing
         # the downloaded file.
         return path_to_dummy_data




 def 							_snake_case   (	self		)    ->							Optional[Any]:
     pass




 def 							_snake_case   (	self		)    ->							int:
     pass




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[Any]:
     def _iter_archive_members(_lowerCAmelCase		):
         # this preserves the order of the members inside the ZIP archive
         _lowerCAmelCase				=      Path(self.dummy_file		).parent
         _lowerCAmelCase				=      path.relative_to(_lowerCAmelCase		)
         with ZipFile(self.local_path_to_dummy_data		) as zip_file:
             _lowerCAmelCase				=      zip_file.namelist()
         for member in members:
             if member.startswith(relative_path.as_posix()		):
                 yield dummy_parent_path.joinpath(_lowerCAmelCase		)

     _lowerCAmelCase				=      Path(_lowerCAmelCase		)
     _lowerCAmelCase				=      _iter_archive_members(_lowerCAmelCase		) if self.use_local_dummy_data else path.rglob("*"		)
     for file_path in file_paths:
         if file_path.is_file() and not file_path.name.startswith((".", "__")		):
             yield file_path.relative_to(_lowerCAmelCase		).as_posix(), file_path.open("rb"		)





 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Union[str, Any]:
     if not isinstance(_lowerCAmelCase			,     _lowerCAmelCase		):
         _lowerCAmelCase				=      [paths]
     for path in paths:
         if os.path.isfile(_lowerCAmelCase		):
             if os.path.basename(_lowerCAmelCase		).startswith((".", "__")		):
                 return
             yield path
         else:
             for dirpath, dirnames, filenames in os.walk(_lowerCAmelCase		):
                 if os.path.basename(_lowerCAmelCase		).startswith((".", "__")		):
                     continue
                 dirnames.sort()
                 for filename in sorted(_lowerCAmelCase		):
                     if filename.startswith((".", "__")		):
                         continue
                     yield os.path.join(_lowerCAmelCase			,     _lowerCAmelCase		)









'''simple docstring'''


import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import is_speech_available, is_vision_available
from transformers.testing_utils import require_torch


if is_vision_available():
       from transformers import TvltImageProcessor

if is_speech_available():
       from transformers import TvltFeatureExtractor

from transformers import TvltProcessor

@require_torch
class    lowerCAmelCase_		(		unittest.TestCase		):




 def 							_snake_case   (	self		)    ->							Dict:
     _lowerCAmelCase				=      "ZinengTang/tvlt-base"
     _lowerCAmelCase				=      tempfile.mkdtemp()




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							Any:
     return TvltImageProcessor.from_pretrained(self.checkpoint			,     **_lowerCAmelCase		)




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							str:
     return TvltFeatureExtractor.from_pretrained(self.checkpoint			,     **_lowerCAmelCase		)




 def 							_snake_case   (	self		)    ->							Optional[Any]:
     shutil.rmtree(self.tmpdirname		)




 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      self.get_image_processor()
     _lowerCAmelCase				=      self.get_feature_extractor()

     _lowerCAmelCase				=      TvltProcessor(image_processor=_lowerCAmelCase			,     feature_extractor=_lowerCAmelCase		)
     processor.save_pretrained(self.tmpdirname		)
     _lowerCAmelCase				=      TvltProcessor.from_pretrained(self.tmpdirname		)

     self.assertIsInstance(processor.feature_extractor			,     _lowerCAmelCase		)
     self.assertIsInstance(processor.image_processor			,     _lowerCAmelCase		)




 def 							_snake_case   (	self		)    ->							Any:
     _lowerCAmelCase				=      self.get_image_processor()
     _lowerCAmelCase				=      self.get_feature_extractor()

     _lowerCAmelCase				=      TvltProcessor(image_processor=_lowerCAmelCase			,     feature_extractor=_lowerCAmelCase		)

     _lowerCAmelCase				=      np.ones([12000]		)

     _lowerCAmelCase				=      feature_extractor(_lowerCAmelCase			,     return_tensors="np"		)
     _lowerCAmelCase				=      processor(audio=_lowerCAmelCase			,     return_tensors="np"		)

     for key in audio_dict.keys():
         self.assertAlmostEqual(audio_dict[key].sum()			,     input_processor[key].sum()			,     delta=1E-2		)




 def 							_snake_case   (	self		)    ->							str:
     _lowerCAmelCase				=      self.get_image_processor()
     _lowerCAmelCase				=      self.get_feature_extractor()

     _lowerCAmelCase				=      TvltProcessor(image_processor=_lowerCAmelCase			,     feature_extractor=_lowerCAmelCase		)

     _lowerCAmelCase				=      np.ones([3, 224, 224]		)

     _lowerCAmelCase				=      image_processor(_lowerCAmelCase			,     return_tensors="np"		)
     _lowerCAmelCase				=      processor(images=_lowerCAmelCase			,     return_tensors="np"		)

     for key in image_dict.keys():
         self.assertAlmostEqual(image_dict[key].sum()			,     input_processor[key].sum()			,     delta=1E-2		)




 def 							_snake_case   (	self		)    ->							str:
     _lowerCAmelCase				=      self.get_image_processor()
     _lowerCAmelCase				=      self.get_feature_extractor()

     _lowerCAmelCase				=      TvltProcessor(image_processor=_lowerCAmelCase			,     feature_extractor=_lowerCAmelCase		)

     _lowerCAmelCase				=      np.ones([12000]		)
     _lowerCAmelCase				=      np.ones([3, 224, 224]		)

     _lowerCAmelCase				=      processor(audio=_lowerCAmelCase			,     images=_lowerCAmelCase		)

     self.assertListEqual(list(inputs.keys()		)			,     ["audio_values", "audio_mask", "pixel_values", "pixel_mask"]		)

     # test if it raises when no input is passed
     with pytest.raises(_lowerCAmelCase		):
         processor()





 def 							_snake_case   (	self		)    ->							str:
     _lowerCAmelCase				=      self.get_image_processor()
     _lowerCAmelCase				=      self.get_feature_extractor()

     _lowerCAmelCase				=      TvltProcessor(image_processor=_lowerCAmelCase			,     feature_extractor=_lowerCAmelCase		)

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


