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"],
							    )      ,)






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()





