code: import unittest
  
  import numpy as np
  
  from transformers.testing_utils import require_torch, require_vision
  from transformers.utils import is_torch_available, is_vision_available
  
  from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
  
  
  if is_torch_available():
  		import torch
  
  if is_vision_available():
  		from PIL import Image
  
  		from transformers import ViTImageProcessor
  
  
  
  
  class 					UpperCamelCase	(     unittest.TestCase      ):
  
  
  
  
  					def __init__( self :					List[Any]      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Union[str, Any]=7      ,_lowerCAmelCase :					Optional[int]=3      ,_lowerCAmelCase :					Any=18      ,_lowerCAmelCase :					List[str]=30      ,_lowerCAmelCase :					Union[str, Any]=400      ,_lowerCAmelCase :					Dict=True      ,_lowerCAmelCase :					int=None      ,_lowerCAmelCase :					List[str]=True      ,_lowerCAmelCase :					Any=[0.5, 0.5, 0.5]      ,_lowerCAmelCase :					Tuple=[0.5, 0.5, 0.5]      ,):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     size if size is not None else {"height": 18, "width": 18}
  							__snake_case		       =     parent
  							__snake_case		       =     batch_size
  							__snake_case		       =     num_channels
  							__snake_case		       =     image_size
  							__snake_case		       =     min_resolution
  							__snake_case		       =     max_resolution
  							__snake_case		       =     do_resize
  							__snake_case		       =     size
  							__snake_case		       =     do_normalize
  							__snake_case		       =     image_mean
  							__snake_case		       =     image_std
  
  
  
  
  
  
  
  					def 							UpperCamelCase_						( self :					Any						):
  
  
  							"""simple docstring"""
  
  
  
  
  							return {
  							    "image_mean": self.image_mean,
  							    "image_std": self.image_std,
  							    "do_normalize": self.do_normalize,
  							    "do_resize": self.do_resize,
  							    "size": self.size,
  							}
  
  
  
  
  @require_torch
  @require_vision
  class 					UpperCamelCase	(     snake_case__			,      unittest.TestCase      ):
  					__UpperCamelCase						=   ViTImageProcessor if is_vision_available() else None
  
  
  
  
  					def 							UpperCamelCase_						( self :					str						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     ViTImageProcessingTester(self						)
  
  
  
  
  					@property
  					def 							UpperCamelCase_						( self :					Optional[int]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							return self.image_processor_tester.prepare_image_processor_dict()
  
  
  
  
  					def 							UpperCamelCase_						( self :					Optional[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self.image_processing_class(**self.image_processor_dict						)
  							self.assertTrue(hasattr(_lowerCAmelCase      ,"image_mean"						)						)
  							self.assertTrue(hasattr(_lowerCAmelCase      ,"image_std"						)						)
  							self.assertTrue(hasattr(_lowerCAmelCase      ,"do_normalize"						)						)
  							self.assertTrue(hasattr(_lowerCAmelCase      ,"do_resize"						)						)
  							self.assertTrue(hasattr(_lowerCAmelCase      ,"size"						)						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					str						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self.image_processing_class.from_dict(self.image_processor_dict						)
  							self.assertEqual(image_processor.size      ,{"height": 18, "width": 18}						)
  
  							__snake_case		       =     self.image_processing_class.from_dict(self.image_processor_dict      ,size=42						)
  							self.assertEqual(image_processor.size      ,{"height": 42, "width": 42}						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Union[str, Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							pass
  
  
  
  
  					def 							UpperCamelCase_						( self :					Optional[int]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self.image_processing_class(**self.image_processor_dict						)
  							# create random PIL images
  							__snake_case		       =     prepare_image_inputs(self.image_processor_tester      ,equal_resolution=_lowerCAmelCase						)
  							for image in image_inputs:
  									self.assertIsInstance(_lowerCAmelCase      ,Image.Image						)
  
  							# Test not batched input
  							__snake_case		       =     image_processing(image_inputs[0]      ,return_tensors="pt"						).pixel_values
  							self.assertEqual(
  							    encoded_images.shape      ,(
  							        1,
  							        self.image_processor_tester.num_channels,
  							        self.image_processor_tester.size["height"],
  							        self.image_processor_tester.size["width"],
  							    )      ,)
  
  							# Test batched
  							__snake_case		       =     image_processing(_lowerCAmelCase      ,return_tensors="pt"						).pixel_values
  							self.assertEqual(
  							    encoded_images.shape      ,(
  							        self.image_processor_tester.batch_size,
  							        self.image_processor_tester.num_channels,
  							        self.image_processor_tester.size["height"],
  							        self.image_processor_tester.size["width"],
  							    )      ,)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Tuple						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self.image_processing_class(**self.image_processor_dict						)
  							# create random numpy tensors
  							__snake_case		       =     prepare_image_inputs(self.image_processor_tester      ,equal_resolution=_lowerCAmelCase      ,numpify=_lowerCAmelCase						)
  							for image in image_inputs:
  									self.assertIsInstance(_lowerCAmelCase      ,np.ndarray						)
  
  							# Test not batched input
  							__snake_case		       =     image_processing(image_inputs[0]      ,return_tensors="pt"						).pixel_values
  							self.assertEqual(
  							    encoded_images.shape      ,(
  							        1,
  							        self.image_processor_tester.num_channels,
  							        self.image_processor_tester.size["height"],
  							        self.image_processor_tester.size["width"],
  							    )      ,)
  
  							# Test batched
  							__snake_case		       =     image_processing(_lowerCAmelCase      ,return_tensors="pt"						).pixel_values
  							self.assertEqual(
  							    encoded_images.shape      ,(
  							        self.image_processor_tester.batch_size,
  							        self.image_processor_tester.num_channels,
  							        self.image_processor_tester.size["height"],
  							        self.image_processor_tester.size["width"],
  							    )      ,)
  
  
  
  
  
  
  
  					def 							UpperCamelCase_						( self :					str						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     self.image_processing_class(**self.image_processor_dict						)
  							# create random PyTorch tensors
  							__snake_case		       =     prepare_image_inputs(self.image_processor_tester      ,equal_resolution=_lowerCAmelCase      ,torchify=_lowerCAmelCase						)
  							for image in image_inputs:
  									self.assertIsInstance(_lowerCAmelCase      ,torch.Tensor						)
  
  							# Test not batched input
  							__snake_case		       =     image_processing(image_inputs[0]      ,return_tensors="pt"						).pixel_values
  							self.assertEqual(
  							    encoded_images.shape      ,(
  							        1,
  							        self.image_processor_tester.num_channels,
  							        self.image_processor_tester.size["height"],
  							        self.image_processor_tester.size["width"],
  							    )      ,)
  
  							# Test batched
  							__snake_case		       =     image_processing(_lowerCAmelCase      ,return_tensors="pt"						).pixel_values
  							self.assertEqual(
  							    encoded_images.shape      ,(
  							        self.image_processor_tester.batch_size,
  							        self.image_processor_tester.num_channels,
  							        self.image_processor_tester.size["height"],
  							        self.image_processor_tester.size["width"],
  							    )      ,)
  
  
  
  
  
  
style_context: import posixpath
  from pathlib import Path
  from unittest.mock import patch
  
  import pytest
  from fsspec.implementations.local import AbstractFileSystem, LocalFileSystem, stringify_path
  from fsspec.registry import _registry as _fsspec_registry
  
  
  
  
  class 					UpperCamelCase	(     snake_case__      ):
  					__UpperCamelCase						=   """mock"""
  
  
  
  
  					def __init__( self :					List[Any]      ,*_lowerCAmelCase :					Optional[int]      ,_lowerCAmelCase :					Union[str, Any]      ,**_lowerCAmelCase :					Union[str, Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							super().__init__()
  							__snake_case		       =     LocalFileSystem(*_lowerCAmelCase      ,**_lowerCAmelCase						)
  							__snake_case		       =     Path(_lowerCAmelCase						).resolve().as_posix() + "/"
  
  
  
  
  					def 							UpperCamelCase_						( self :					List[Any]      ,_lowerCAmelCase :					Optional[Any]      ,*_lowerCAmelCase :					Union[str, Any]      ,**_lowerCAmelCase :					Dict						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.mkdir(_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					int      ,_lowerCAmelCase :					Tuple      ,*_lowerCAmelCase :					Optional[Any]      ,**_lowerCAmelCase :					Optional[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.makedirs(_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Tuple      ,_lowerCAmelCase :					Any						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.rmdir(_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					List[Any]      ,_lowerCAmelCase :					List[Any]      ,_lowerCAmelCase :					str=True      ,*_lowerCAmelCase :					int      ,**_lowerCAmelCase :					List[str]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							__snake_case		       =     self._fs.ls(_lowerCAmelCase      ,detail=_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  							if detail:
  									return [{**info, "name": info["name"][len(self.local_root_dir						) :]} for info in out]
  							else:
  									return [name[len(self.local_root_dir						) :] for name in out]
  
  
  
  
  					def 							UpperCamelCase_						( self :					List[str]      ,_lowerCAmelCase :					Any      ,*_lowerCAmelCase :					Any      ,**_lowerCAmelCase :					str						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							__snake_case		       =     dict(self._fs.info(_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)						)
  							__snake_case		       =     out["name"][len(self.local_root_dir						) :]
  							return out
  
  
  
  
  					def 							UpperCamelCase_						( self :					Tuple      ,_lowerCAmelCase :					Optional[int]      ,_lowerCAmelCase :					Optional[Any]      ,*_lowerCAmelCase :					int      ,**_lowerCAmelCase :					Optional[int]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.cp_file(_lowerCAmelCase      ,_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Union[str, Any]      ,_lowerCAmelCase :					int      ,*_lowerCAmelCase :					List[Any]      ,**_lowerCAmelCase :					int						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.rm_file(_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Optional[Any]      ,_lowerCAmelCase :					str      ,*_lowerCAmelCase :					Optional[int]      ,**_lowerCAmelCase :					int						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.rm(_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					int      ,_lowerCAmelCase :					Optional[int]      ,*_lowerCAmelCase :					str      ,**_lowerCAmelCase :					Optional[Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs._open(_lowerCAmelCase      ,*_lowerCAmelCase      ,**_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Union[str, Any]      ,_lowerCAmelCase :					Tuple						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.created(_lowerCAmelCase						)
  
  
  
  
  					def 							UpperCamelCase_						( self :					Union[str, Any]      ,_lowerCAmelCase :					int						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     posixpath.join(self.local_root_dir      ,self._strip_protocol(_lowerCAmelCase						)						)
  							return self._fs.modified(_lowerCAmelCase						)
  
  
  
  
  
  
  
  					@classmethod
  					def 							UpperCamelCase_						( cls :					Dict      ,_lowerCAmelCase :					Dict						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     stringify_path(_lowerCAmelCase						)
  							if path.startswith("mock://"						):
  									__snake_case		       =     path[7:]
  							return path
  
  
  
  
  class 					UpperCamelCase	(     snake_case__      ):
  					__UpperCamelCase						=   """tmp"""
  					__UpperCamelCase						=   None
  
  
  
  
  					def __init__( self :					int      ,*_lowerCAmelCase :					Tuple      ,**_lowerCAmelCase :					Union[str, Any]						):
  
  
  							"""simple docstring"""
  
  
  
  
  							assert self.tmp_dir is not None, "TmpDirFileSystem.tmp_dir is not set"
  							super().__init__(*_lowerCAmelCase      ,**_lowerCAmelCase      ,local_root_dir=self.tmp_dir      ,auto_mkdir=_lowerCAmelCase						)
  
  
  
  
  
  
  
  					@classmethod
  					def 							UpperCamelCase_						( cls :					int      ,_lowerCAmelCase :					str						):
  
  
  							"""simple docstring"""
  
  
  
  
  							__snake_case		       =     stringify_path(_lowerCAmelCase						)
  							if path.startswith("tmp://"						):
  									__snake_case		       =     path[6:]
  							return path
  
  
  
  
  @pytest.fixture
  def 							_lowerCamelCase(				)  ->   str:
  		__snake_case		       =     MockFileSystem
  		__snake_case		       =     TmpDirFileSystem
  		yield
  		del _fsspec_registry["mock"]
  		del _fsspec_registry["tmp"]
  
  
  
  @pytest.fixture
  def 							_lowerCamelCase(				__snake_case						,						__snake_case	)  ->   Dict:
  		__snake_case		       =     tmp_path_factory.mktemp("mockfs"	)
  		return MockFileSystem(local_root_dir=__snake_case						,						auto_mkdir=__snake_case	)
  
  
  
  
  
  @pytest.fixture
  def 							_lowerCamelCase(				__snake_case						,						__snake_case	)  ->   List[Any]:
  		__snake_case		       =     tmp_path_factory.mktemp("tmpfs"	)
  		with patch.object(__snake_case						,						"tmp_dir"						,						__snake_case	):
  				yield TmpDirFileSystem()
  
  
  
  
  
  