'''simple docstring'''







import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
UpperCamelCase_      	=	sys.version_info >= (3, 10)


def    lowerCamelCase       (			UpperCAmelCase__				:  Optional[Any]=None				,						UpperCAmelCase__				:  Any=None		)			->	str:


							'''simple docstring'''






							return field(default_factory=lambda: default				,						metadata=UpperCAmelCase__		)




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							int
						A_			:							float
						A_			:							str
						A_			:							bool




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							int     		= 42
						A_			:							str     		= field(default='toto'						,						metadata={'help': 'help message'}					)




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							bool     		= False
						A_			:							bool     		= True
						A_			:							Optional[bool]     		= None




class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE					):
						A_			:							Optional[Any]     		= 'titi'
						A_			:							Any     		= 'toto'




class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE					):
						A_			:							str     		= 'titi'
						A_			:							Optional[int]     		= 'toto'
						A_			:							Optional[Any]     		= 42




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							BasicEnum     		= "toto"




						def      __lowerCamelCase       (    self :       List[str]      )     ->				Union[str, Any]:
													SCREAMING_SNAKE_CASE__     :Any						    = BasicEnum(self.foo      )




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							MixedTypeEnum     		= "toto"




						def      __lowerCamelCase       (    self :       int      )     ->				Dict:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = MixedTypeEnum(self.foo      )




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							Optional[int]     		= None
						A_			:							Optional[float]     		= field(default=_SCREAMING_SNAKE_CASE						,						metadata={'help': 'help message'}					)
						A_			:							Optional[str]     		= None
						A_			:							Optional[List[str]]     		= list_field(default=[]					)
						A_			:							Optional[List[int]]     		= list_field(default=[]					)




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							List[int]     		= list_field(default=[]					)
						A_			:							List[int]     		= list_field(default=[1, 2, 3]					)
						A_			:							List[str]     		= list_field(default=['Hallo', 'Bonjour', 'Hello']					)
						A_			:							List[float]     		= list_field(default=[0.1, 0.2, 0.3]					)




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							List[int]     		= field()
						A_			:							str     		= field()
						A_			:							BasicEnum     		= field()




						def      __lowerCamelCase       (    self :       int      )     ->				str:
													SCREAMING_SNAKE_CASE__     :Dict						    = BasicEnum(self.required_enum      )




@dataclass
class _SCREAMING_SNAKE_CASE:
						A_			:							int
						A_			:							"BasicEnum"     		= field()
						A_			:							"Optional[bool]"     		= None
						A_			:							"str"     		= field(default='toto'						,						metadata={'help': 'help message'}					)
						A_			:							"List[str]"     		= list_field(default=['Hallo', 'Bonjour', 'Hello']					)


if is_python_no_less_than_3_10:




		@dataclass
		class _SCREAMING_SNAKE_CASE:
								A_			:							bool     		= False
								A_			:							bool     		= True
								A_			:							bool | None     		= None




		@dataclass
		class _SCREAMING_SNAKE_CASE:
								A_			:							int | None     		= None
								A_			:							float | None     		= field(default=_SCREAMING_SNAKE_CASE						,						metadata={'help': 'help message'}					)
								A_			:							str | None     		= None
								A_			:							list[str] | None     		= list_field(default=[]					)
								A_			:							list[int] | None     		= list_field(default=[]					)





class _SCREAMING_SNAKE_CASE(							unittest.TestCase					):




						def      __lowerCamelCase       (    self :       Optional[Any]							,							UpperCamelCase_ :       argparse.ArgumentParser							,							UpperCamelCase_ :       argparse.ArgumentParser      )     ->				Union[str, Any]:
													self.assertEqual(len(a._actions      )							,							len(b._actions      )      )
													for x, y in zip(a._actions							,							b._actions      ):
																				SCREAMING_SNAKE_CASE__     :Dict						    = {k: v for k, v in vars(UpperCamelCase_      ).items() if k != 'container'}
																				SCREAMING_SNAKE_CASE__     :Any						    = {k: v for k, v in vars(UpperCamelCase_      ).items() if k != 'container'}

																				# Choices with mixed type have custom function as "type"
																				# So we need to compare results directly for equality
																				if xx.get('choices'							,							UpperCamelCase_      ) and yy.get('choices'							,							UpperCamelCase_      ):
																											for expected_choice in yy["choices"] + xx["choices"]:
																																		self.assertEqual(xx['type'](UpperCamelCase_      )							,							yy['type'](UpperCamelCase_      )      )
																											del xx["type"], yy["type"]

																				self.assertEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       int      )     ->				Optional[int]:
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = argparse.ArgumentParser()
													expected.add_argument('--foo'							,							type=UpperCamelCase_							,							required=UpperCamelCase_      )
													expected.add_argument('--bar'							,							type=UpperCamelCase_							,							required=UpperCamelCase_      )
													expected.add_argument('--baz'							,							type=UpperCamelCase_							,							required=UpperCamelCase_      )
													expected.add_argument('--flag'							,							type=UpperCamelCase_							,							default=UpperCamelCase_							,							const=UpperCamelCase_							,							nargs='?'      )
													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :List[str]						    = ['--foo', '1', '--baz', 'quux', '--bar', '0.5']
													((SCREAMING_SNAKE_CASE__)    ,      )     :Union[str, Any]						    = parser.parse_args_into_dataclasses(UpperCamelCase_							,							look_for_args_file=UpperCamelCase_      )
													self.assertFalse(example.flag      )




						def      __lowerCamelCase       (    self :       List[Any]      )     ->				Dict:
													SCREAMING_SNAKE_CASE__     :Tuple						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Optional[int]						    = argparse.ArgumentParser()
													expected.add_argument('--foo'							,							default=42							,							type=UpperCamelCase_      )
													expected.add_argument('--baz'							,							default='toto'							,							type=UpperCamelCase_							,							help='help message'      )
													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Optional[int]      )     ->				Any:
													SCREAMING_SNAKE_CASE__     :Dict						    = argparse.ArgumentParser()
													expected.add_argument('--foo'							,							type=UpperCamelCase_							,							default=UpperCamelCase_							,							const=UpperCamelCase_							,							nargs='?'      )
													expected.add_argument('--baz'							,							type=UpperCamelCase_							,							default=UpperCamelCase_							,							const=UpperCamelCase_							,							nargs='?'      )
													# A boolean no_* argument always has to come after its "default: True" regular counter-part
													# and its default must be set to False
													expected.add_argument('--no_baz'							,							action='store_false'							,							default=UpperCamelCase_							,							dest='baz'      )
													expected.add_argument('--opt'							,							type=UpperCamelCase_							,							default=UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Any						    = [WithDefaultBoolExample]
													if is_python_no_less_than_3_10:
																				dataclass_types.append(UpperCamelCase_      )

													for dataclass_type in dataclass_types:
																				SCREAMING_SNAKE_CASE__     :Optional[int]						    = HfArgumentParser(UpperCamelCase_      )
																				self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )

																				SCREAMING_SNAKE_CASE__     :Any						    = parser.parse_args([]      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=UpperCamelCase_							,							baz=UpperCamelCase_							,							opt=UpperCamelCase_      )      )

																				SCREAMING_SNAKE_CASE__     :Dict						    = parser.parse_args(['--foo', '--no_baz']      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=UpperCamelCase_							,							baz=UpperCamelCase_							,							opt=UpperCamelCase_      )      )

																				SCREAMING_SNAKE_CASE__     :Optional[Any]						    = parser.parse_args(['--foo', '--baz']      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=UpperCamelCase_							,							baz=UpperCamelCase_							,							opt=UpperCamelCase_      )      )

																				SCREAMING_SNAKE_CASE__     :Optional[int]						    = parser.parse_args(['--foo', 'True', '--baz', 'True', '--opt', 'True']      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=UpperCamelCase_							,							baz=UpperCamelCase_							,							opt=UpperCamelCase_      )      )

																				SCREAMING_SNAKE_CASE__     :List[Any]						    = parser.parse_args(['--foo', 'False', '--baz', 'False', '--opt', 'False']      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=UpperCamelCase_							,							baz=UpperCamelCase_							,							opt=UpperCamelCase_      )      )




						def      __lowerCamelCase       (    self :       List[str]      )     ->				Optional[Any]:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Dict						    = argparse.ArgumentParser()
													expected.add_argument(
													    '--foo'							,							default='toto'							,							choices=['titi', 'toto', 42]							,							type=make_choice_type_function(['titi', 'toto', 42]      )							,							)
													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :int						    = parser.parse_args([]      )
													self.assertEqual(args.foo							,							'toto'      )
													SCREAMING_SNAKE_CASE__     :int						    = parser.parse_args_into_dataclasses([]      )[0]
													self.assertEqual(enum_ex.foo							,							MixedTypeEnum.toto      )

													SCREAMING_SNAKE_CASE__     :int						    = parser.parse_args(['--foo', 'titi']      )
													self.assertEqual(args.foo							,							'titi'      )
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = parser.parse_args_into_dataclasses(['--foo', 'titi']      )[0]
													self.assertEqual(enum_ex.foo							,							MixedTypeEnum.titi      )

													SCREAMING_SNAKE_CASE__     :str						    = parser.parse_args(['--foo', '42']      )
													self.assertEqual(args.foo							,							42      )
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = parser.parse_args_into_dataclasses(['--foo', '42']      )[0]
													self.assertEqual(enum_ex.foo							,							MixedTypeEnum.fourtytwo      )




						def      __lowerCamelCase       (    self :       Optional[int]      )     ->				str:




													@dataclass
													class _SCREAMING_SNAKE_CASE:
																			A_			:							Literal["titi", "toto", 42]     		= "toto"
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Any						    = argparse.ArgumentParser()
													expected.add_argument(
													    '--foo'							,							default='toto'							,							choices=('titi', 'toto', 42)							,							type=make_choice_type_function(['titi', 'toto', 42]      )							,							)
													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Optional[int]						    = parser.parse_args([]      )
													self.assertEqual(args.foo							,							'toto'      )

													SCREAMING_SNAKE_CASE__     :int						    = parser.parse_args(['--foo', 'titi']      )
													self.assertEqual(args.foo							,							'titi'      )

													SCREAMING_SNAKE_CASE__     :Dict						    = parser.parse_args(['--foo', '42']      )
													self.assertEqual(args.foo							,							42      )




						def      __lowerCamelCase       (    self :       int      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = argparse.ArgumentParser()
													expected.add_argument('--foo_int'							,							nargs='+'							,							default=[]							,							type=UpperCamelCase_      )
													expected.add_argument('--bar_int'							,							nargs='+'							,							default=[1, 2, 3]							,							type=UpperCamelCase_      )
													expected.add_argument('--foo_str'							,							nargs='+'							,							default=['Hallo', 'Bonjour', 'Hello']							,							type=UpperCamelCase_      )
													expected.add_argument('--foo_float'							,							nargs='+'							,							default=[0.1, 0.2, 0.3]							,							type=UpperCamelCase_      )

													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Tuple						    = parser.parse_args([]      )
													self.assertEqual(
													    UpperCamelCase_							,							Namespace(foo_int=[]							,							bar_int=[1, 2, 3]							,							foo_str=['Hallo', 'Bonjour', 'Hello']							,							foo_float=[0.1, 0.2, 0.3]      )							,							)

													SCREAMING_SNAKE_CASE__     :Dict						    = parser.parse_args('--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7'.split()      )
													self.assertEqual(UpperCamelCase_							,							Namespace(foo_int=[1]							,							bar_int=[2, 3]							,							foo_str=['a', 'b', 'c']							,							foo_float=[0.1, 0.7]      )      )




						def      __lowerCamelCase       (    self :       str      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :List[str]						    = argparse.ArgumentParser()
													expected.add_argument('--foo'							,							default=UpperCamelCase_							,							type=UpperCamelCase_      )
													expected.add_argument('--bar'							,							default=UpperCamelCase_							,							type=UpperCamelCase_							,							help='help message'      )
													expected.add_argument('--baz'							,							default=UpperCamelCase_							,							type=UpperCamelCase_      )
													expected.add_argument('--ces'							,							nargs='+'							,							default=[]							,							type=UpperCamelCase_      )
													expected.add_argument('--des'							,							nargs='+'							,							default=[]							,							type=UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :List[Any]						    = [OptionalExample]
													if is_python_no_less_than_3_10:
																				dataclass_types.append(UpperCamelCase_      )

													for dataclass_type in dataclass_types:
																				SCREAMING_SNAKE_CASE__     :List[str]						    = HfArgumentParser(UpperCamelCase_      )

																				self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )

																				SCREAMING_SNAKE_CASE__     :Tuple						    = parser.parse_args([]      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=UpperCamelCase_							,							bar=UpperCamelCase_							,							baz=UpperCamelCase_							,							ces=[]							,							des=[]      )      )

																				SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = parser.parse_args('--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3'.split()      )
																				self.assertEqual(UpperCamelCase_							,							Namespace(foo=12							,							bar=3.14							,							baz='42'							,							ces=['a', 'b', 'c']							,							des=[1, 2, 3]      )      )




						def      __lowerCamelCase       (    self :       Tuple      )     ->				Optional[int]:
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :List[Any]						    = argparse.ArgumentParser()
													expected.add_argument('--required_list'							,							nargs='+'							,							type=UpperCamelCase_							,							required=UpperCamelCase_      )
													expected.add_argument('--required_str'							,							type=UpperCamelCase_							,							required=UpperCamelCase_      )
													expected.add_argument(
													    '--required_enum'							,							type=make_choice_type_function(['titi', 'toto']      )							,							choices=['titi', 'toto']							,							required=UpperCamelCase_							,							)
													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       int      )     ->				str:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Any						    = argparse.ArgumentParser()
													expected.add_argument('--foo'							,							type=UpperCamelCase_							,							required=UpperCamelCase_      )
													expected.add_argument(
													    '--required_enum'							,							type=make_choice_type_function(['titi', 'toto']      )							,							choices=['titi', 'toto']							,							required=UpperCamelCase_							,							)
													expected.add_argument('--opt'							,							type=UpperCamelCase_							,							default=UpperCamelCase_      )
													expected.add_argument('--baz'							,							default='toto'							,							type=UpperCamelCase_							,							help='help message'      )
													expected.add_argument('--foo_str'							,							nargs='+'							,							default=['Hallo', 'Bonjour', 'Hello']							,							type=UpperCamelCase_      )
													self.argparsersEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Dict      )     ->				str:
													SCREAMING_SNAKE_CASE__     :Dict						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Dict						    = {
													    'foo': 12,
													    'bar': 3.14,
													    'baz': '42',
													    'flag': True,
													}

													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = parser.parse_dict(UpperCamelCase_      )[0]
													SCREAMING_SNAKE_CASE__     :Tuple						    = BasicExample(**UpperCamelCase_      )
													self.assertEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Optional[int]      )     ->				str:
													SCREAMING_SNAKE_CASE__     :Tuple						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :int						    = {
													    'foo': 12,
													    'bar': 3.14,
													    'baz': '42',
													    'flag': True,
													    'extra': 42,
													}

													self.assertRaises(UpperCamelCase_							,							parser.parse_dict							,							UpperCamelCase_							,							allow_extra_keys=UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Dict      )     ->				Any:
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :List[Any]						    = {
													    'foo': 12,
													    'bar': 3.14,
													    'baz': '42',
													    'flag': True,
													}
													with tempfile.TemporaryDirectory() as tmp_dir:
																				SCREAMING_SNAKE_CASE__     :int						    = os.path.join(UpperCamelCase_							,							'temp_json'      )
																				os.mkdir(UpperCamelCase_      )
																				with open(temp_local_path + '.json'							,							'w+'      ) as f:
																											json.dump(UpperCamelCase_							,							UpperCamelCase_      )
																				SCREAMING_SNAKE_CASE__     :List[str]						    = parser.parse_yaml_file(Path(temp_local_path + '.json'      )      )[0]

													SCREAMING_SNAKE_CASE__     :Optional[int]						    = BasicExample(**UpperCamelCase_      )
													self.assertEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Dict      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = HfArgumentParser(UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = {
													    'foo': 12,
													    'bar': 3.14,
													    'baz': '42',
													    'flag': True,
													}
													with tempfile.TemporaryDirectory() as tmp_dir:
																				SCREAMING_SNAKE_CASE__     :Any						    = os.path.join(UpperCamelCase_							,							'temp_yaml'      )
																				os.mkdir(UpperCamelCase_      )
																				with open(temp_local_path + '.yaml'							,							'w+'      ) as f:
																											yaml.dump(UpperCamelCase_							,							UpperCamelCase_      )
																				SCREAMING_SNAKE_CASE__     :Dict						    = parser.parse_yaml_file(Path(temp_local_path + '.yaml'      )      )[0]
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = BasicExample(**UpperCamelCase_      )
													self.assertEqual(UpperCamelCase_							,							UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Union[str, Any]      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = HfArgumentParser(UpperCamelCase_      )
													self.assertIsNotNone(UpperCamelCase_      )







'''simple docstring'''







import unittest
from typing import Dict, List, Optional, Union

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 BridgeTowerImageProcessor




class _SCREAMING_SNAKE_CASE(							unittest.TestCase					):




						def __init__(    self :       Any							,							UpperCamelCase_ :       List[Any]							,							UpperCamelCase_ :       bool = True							,							UpperCamelCase_ :       Dict[str, int] = None							,							UpperCamelCase_ :       int = 32							,							UpperCamelCase_ :       bool = True							,							UpperCamelCase_ :       Union[int, float] = 1 / 2_55							,							UpperCamelCase_ :       bool = True							,							UpperCamelCase_ :       bool = True							,							UpperCamelCase_ :       Optional[Union[float, List[float]]] = [0.4814_5466, 0.457_8275, 0.4082_1073]							,							UpperCamelCase_ :       Optional[Union[float, List[float]]] = [0.2686_2954, 0.2613_0258, 0.2757_7711]							,							UpperCamelCase_ :       bool = True							,							UpperCamelCase_ :       int=7							,							UpperCamelCase_ :       Dict=30							,							UpperCamelCase_ :       Tuple=4_00							,							UpperCamelCase_ :       List[Any]=3							,							)     ->				List[Any]:
													SCREAMING_SNAKE_CASE__     :List[str]						    = parent
													SCREAMING_SNAKE_CASE__     :Tuple						    = do_resize
													SCREAMING_SNAKE_CASE__     :List[Any]						    = size if size is not None else {'shortest_edge': 2_88}
													SCREAMING_SNAKE_CASE__     :str						    = size_divisor
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = do_rescale
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = rescale_factor
													SCREAMING_SNAKE_CASE__     :str						    = do_normalize
													SCREAMING_SNAKE_CASE__     :int						    = do_center_crop
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = image_mean
													SCREAMING_SNAKE_CASE__     :str						    = image_std
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = do_pad
													SCREAMING_SNAKE_CASE__     :Tuple						    = batch_size
													SCREAMING_SNAKE_CASE__     :List[str]						    = num_channels
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = min_resolution
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = max_resolution




						def      __lowerCamelCase       (    self :       Tuple      )     ->				Optional[int]:
													return {
													    "image_mean": self.image_mean,
													    "image_std": self.image_std,
													    "do_normalize": self.do_normalize,
													    "do_resize": self.do_resize,
													    "size": self.size,
													    "size_divisor": self.size_divisor,
													}




						def      __lowerCamelCase       (    self :       int							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       str=False      )     ->				Optional[int]:
													if not batched:
																				SCREAMING_SNAKE_CASE__     :Dict						    = self.size['shortest_edge']
																				SCREAMING_SNAKE_CASE__     :List[Any]						    = image_inputs[0]
																				if isinstance(UpperCamelCase_							,							Image.Image      ):
																											SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :Optional[int]						    = image.size
																				else:
																											SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :str						    = image.shape[1], image.shape[2]
																				SCREAMING_SNAKE_CASE__     :Optional[int]						    = size / min(UpperCamelCase_							,							UpperCamelCase_      )
																				if h < w:
																											SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :List[Any]						    = size, scale * w
																				else:
																											SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :str						    = scale * h, size

																				SCREAMING_SNAKE_CASE__     :Any						    = int((13_33 / 8_00) * size      )
																				if max(UpperCamelCase_							,							UpperCamelCase_      ) > max_size:
																											SCREAMING_SNAKE_CASE__     :Tuple						    = max_size / max(UpperCamelCase_							,							UpperCamelCase_      )
																											SCREAMING_SNAKE_CASE__     :str						    = newh * scale
																											SCREAMING_SNAKE_CASE__     :Any						    = neww * scale

																				SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :int						    = int(newh + 0.5      ), int(neww + 0.5      )
																				SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :Optional[Any]						    = (
																				    newh // self.size_divisor * self.size_divisor,
																				    neww // self.size_divisor * self.size_divisor,
																				)

													else:
																				SCREAMING_SNAKE_CASE__     :Any						    = []
																				for image in image_inputs:
																											SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :str						    = self.get_expected_values([image]      )
																											expected_values.append((expected_height, expected_width)      )
																				SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = max(UpperCamelCase_							,							key=lambda UpperCamelCase_      : item[0]      )[0]
																				SCREAMING_SNAKE_CASE__     :Optional[int]						    = max(UpperCamelCase_							,							key=lambda UpperCamelCase_      : item[1]      )[1]

													return expected_height, expected_width




@require_torch
@require_vision
class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE						,						unittest.TestCase					):
						A_			:							List[Any]     		= BridgeTowerImageProcessor if is_vision_available() else None




						def      __lowerCamelCase       (    self :       Optional[Any]      )     ->				str:
													SCREAMING_SNAKE_CASE__     :List[str]						    = BridgeTowerImageProcessingTester(self      )




						@property
						def      __lowerCamelCase       (    self :       int      )     ->				Any:
													return self.image_processor_tester.prepare_image_processor_dict()




						def      __lowerCamelCase       (    self :       int      )     ->				Union[str, Any]:
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = self.image_processing_class(**self.image_processor_dict      )
													self.assertTrue(hasattr(UpperCamelCase_							,							'image_mean'      )      )
													self.assertTrue(hasattr(UpperCamelCase_							,							'image_std'      )      )
													self.assertTrue(hasattr(UpperCamelCase_							,							'do_normalize'      )      )
													self.assertTrue(hasattr(UpperCamelCase_							,							'do_resize'      )      )
													self.assertTrue(hasattr(UpperCamelCase_							,							'size'      )      )
													self.assertTrue(hasattr(UpperCamelCase_							,							'size_divisor'      )      )




						def      __lowerCamelCase       (    self :       Union[str, Any]      )     ->				List[str]:
													pass




						def      __lowerCamelCase       (    self :       int      )     ->				Dict:
													# Initialize image processor
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = self.image_processing_class(**self.image_processor_dict      )
													# create random PIL images
													SCREAMING_SNAKE_CASE__     :Any						    = prepare_image_inputs(self.image_processor_tester							,							equal_resolution=UpperCamelCase_      )
													for image in image_inputs:
																				self.assertIsInstance(UpperCamelCase_							,							Image.Image      )

													# Test not batched input
													SCREAMING_SNAKE_CASE__     :str						    = image_processing(image_inputs[0]							,							return_tensors='pt'      ).pixel_values

													SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :Dict						    = self.image_processor_tester.get_expected_values(UpperCamelCase_      )
													self.assertEqual(
													    encoded_images.shape							,							(1, self.image_processor_tester.num_channels, expected_height, expected_width)							,							)

													# Test batched
													SCREAMING_SNAKE_CASE__     :Any						    = image_processing(UpperCamelCase_							,							return_tensors='pt'      ).pixel_values

													SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :int						    = self.image_processor_tester.get_expected_values(UpperCamelCase_							,							batched=UpperCamelCase_      )
													self.assertEqual(
													    encoded_images.shape							,							(
													        self.image_processor_tester.batch_size,
													        self.image_processor_tester.num_channels,
													        expected_height,
													        expected_width,
													    )							,							)




						def      __lowerCamelCase       (    self :       List[Any]      )     ->				Tuple:
													# Initialize image processor
													SCREAMING_SNAKE_CASE__     :Dict						    = self.image_processing_class(**self.image_processor_dict      )
													# create random numpy tensors
													SCREAMING_SNAKE_CASE__     :Tuple						    = prepare_image_inputs(self.image_processor_tester							,							equal_resolution=UpperCamelCase_							,							numpify=UpperCamelCase_      )
													for image in image_inputs:
																				self.assertIsInstance(UpperCamelCase_							,							np.ndarray      )

													# Test not batched input
													SCREAMING_SNAKE_CASE__     :List[str]						    = image_processing(image_inputs[0]							,							return_tensors='pt'      ).pixel_values

													SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :int						    = self.image_processor_tester.get_expected_values(UpperCamelCase_      )
													self.assertEqual(
													    encoded_images.shape							,							(1, self.image_processor_tester.num_channels, expected_height, expected_width)							,							)

													# Test batched
													SCREAMING_SNAKE_CASE__     :str						    = image_processing(UpperCamelCase_							,							return_tensors='pt'      ).pixel_values

													SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :Any						    = self.image_processor_tester.get_expected_values(UpperCamelCase_							,							batched=UpperCamelCase_      )
													self.assertEqual(
													    encoded_images.shape							,							(
													        self.image_processor_tester.batch_size,
													        self.image_processor_tester.num_channels,
													        expected_height,
													        expected_width,
													    )							,							)




						def      __lowerCamelCase       (    self :       List[str]      )     ->				List[Any]:
													# Initialize image processor
													SCREAMING_SNAKE_CASE__     :List[str]						    = self.image_processing_class(**self.image_processor_dict      )
													# create random PyTorch tensors
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = prepare_image_inputs(self.image_processor_tester							,							equal_resolution=UpperCamelCase_							,							torchify=UpperCamelCase_      )
													for image in image_inputs:
																				self.assertIsInstance(UpperCamelCase_							,							torch.Tensor      )

													# Test not batched input
													SCREAMING_SNAKE_CASE__     :List[str]						    = image_processing(image_inputs[0]							,							return_tensors='pt'      ).pixel_values

													SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :Optional[int]						    = self.image_processor_tester.get_expected_values(UpperCamelCase_      )
													self.assertEqual(
													    encoded_images.shape							,							(1, self.image_processor_tester.num_channels, expected_height, expected_width)							,							)

													# Test batched
													SCREAMING_SNAKE_CASE__     :List[Any]						    = image_processing(UpperCamelCase_							,							return_tensors='pt'      ).pixel_values

													SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :List[Any]						    = self.image_processor_tester.get_expected_values(UpperCamelCase_							,							batched=UpperCamelCase_      )
													self.assertEqual(
													    encoded_images.shape							,							(
													        self.image_processor_tester.batch_size,
													        self.image_processor_tester.num_channels,
													        expected_height,
													        expected_width,
													    )							,							)






