

"""simple docstring"""




import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs
class      _UpperCAmelCase   (							_lowerCAmelCase       ):



	def __init__(  self     :       Tuple			,    _lowercase     :       str			,    _lowercase     :       Union[str, Any]=None			,    _lowercase     :       Tuple=True			,    _lowercase     :       Tuple=None			,    **_lowercase     :       Optional[Any]						):
		__UpperCAmelCase      		= parent
		__UpperCAmelCase      		= config_class
		__UpperCAmelCase      		= has_text_modality
		__UpperCAmelCase      		= kwargs
		__UpperCAmelCase      		= common_properties



	def        a  (  self     :       Tuple						):
		__UpperCAmelCase      		= self.config_class(**self.inputs_dict						)
		__UpperCAmelCase      		= (
		    ['''hidden_size''', '''num_attention_heads''', '''num_hidden_layers''']
		    if self.common_properties is None
		    else self.common_properties
		)

		# Add common fields for text models
		if self.has_text_modality:
			common_properties.extend(['''vocab_size''']						)

		# Test that config has the common properties as getters
		for prop in common_properties:
			self.parent.assertTrue(hasattr(_lowercase			,    _lowercase						)			,    msg=F'''`{prop}` does not exist'''						)

		# Test that config has the common properties as setter
		for idx, name in enumerate(_lowercase						):
			try:
				setattr(_lowercase			,    _lowercase			,    _lowercase						)
				self.parent.assertEqual(
				    getattr(_lowercase			,    _lowercase						)			,    _lowercase			,    msg=F'''`{name} value {idx} expected, but was {getattr(_lowercase			,    _lowercase						)}'''						)
			except NotImplementedError:
				# Some models might not be able to implement setters for common_properties
				# In that case, a NotImplementedError is raised
				pass

        # Test if config class can be called with Config(prop_name=..)
		for idx, name in enumerate(_lowercase						):
			try:
				__UpperCAmelCase      		= self.config_class(**{name: idx}						)
				self.parent.assertEqual(
				    getattr(_lowercase			,    _lowercase						)			,    _lowercase			,    msg=F'''`{name} value {idx} expected, but was {getattr(_lowercase			,    _lowercase						)}'''						)
			except NotImplementedError:
				# Some models might not be able to implement setters for common_properties
				# In that case, a NotImplementedError is raised
				pass



	def        a  (  self     :       List[Any]						):
		__UpperCAmelCase      		= self.config_class(**self.inputs_dict						)
		__UpperCAmelCase      		= json.loads(config.to_json_string()						)
		for key, value in self.inputs_dict.items():
			self.parent.assertEqual(obj[key]			,    _lowercase						)



	def        a  (  self     :       Tuple						):
		__UpperCAmelCase      		= self.config_class(**self.inputs_dict						)

		with tempfile.TemporaryDirectory() as tmpdirname:
			__UpperCAmelCase      		= os.path.join(_lowercase			,    '''config.json'''						)
			config_first.to_json_file(_lowercase						)
			__UpperCAmelCase      		= self.config_class.from_json_file(_lowercase						)

		self.parent.assertEqual(config_second.to_dict()			,    config_first.to_dict()						)



	def        a  (  self     :       Dict						):
		__UpperCAmelCase      		= self.config_class(**self.inputs_dict						)

		with tempfile.TemporaryDirectory() as tmpdirname:
			config_first.save_pretrained(_lowercase						)
			__UpperCAmelCase      		= self.config_class.from_pretrained(_lowercase						)

		self.parent.assertEqual(config_second.to_dict()			,    config_first.to_dict()						)



	def        a  (  self     :       Dict						):
		__UpperCAmelCase      		= self.config_class(**self.inputs_dict						)

		__UpperCAmelCase      		= '''test'''
		with tempfile.TemporaryDirectory() as tmpdirname:
			__UpperCAmelCase      		= os.path.join(_lowercase			,    _lowercase						)
			config_first.save_pretrained(_lowercase						)
			__UpperCAmelCase      		= self.config_class.from_pretrained(_lowercase			,    subfolder=_lowercase						)

		self.parent.assertEqual(config_second.to_dict()			,    config_first.to_dict()						)



	def        a  (  self     :       Union[str, Any]						):
		__UpperCAmelCase      		= self.config_class(**self.inputs_dict			,    num_labels=5						)
		self.parent.assertEqual(len(config.idalabel						)			,    5						)
		self.parent.assertEqual(len(config.labelaid						)			,    5						)

		__UpperCAmelCase      		= 3
		self.parent.assertEqual(len(config.idalabel						)			,    3						)
		self.parent.assertEqual(len(config.labelaid						)			,    3						)



	def        a  (  self     :       Any						):
		if self.config_class.is_composition:
			return
		__UpperCAmelCase      		= self.config_class()
		self.parent.assertIsNotNone(_lowercase						)



	def        a  (  self     :       Optional[int]						):
		__UpperCAmelCase      		= copy.deepcopy(_lowercase						)
		__UpperCAmelCase      		= self.config_class(**_lowercase						)
		__UpperCAmelCase      		= []
		for key, value in config_common_kwargs.items():
			if key == "torch_dtype":
				if not is_torch_available():
					continue
				else:
					import torch

					if config.torch_dtype != torch.floataa:
						wrong_values.append(('''torch_dtype''', config.torch_dtype, torch.floataa)						)
			elif getattr(_lowercase			,    _lowercase						) != value:
				wrong_values.append((key, getattr(_lowercase			,    _lowercase						), value)						)

		if len(_lowercase						) > 0:
			__UpperCAmelCase      		= '''\n'''.join([F'''- {v[0]}: got {v[1]} instead of {v[2]}''' for v in wrong_values]						)
			raise ValueError(F'''The following keys were not properly set in the config:\n{errors}'''						)



	def        a  (  self     :       Tuple						):
		self.create_and_test_config_common_properties()
		self.create_and_test_config_to_json_string()
		self.create_and_test_config_to_json_file()
		self.create_and_test_config_from_and_save_pretrained()
		self.create_and_test_config_from_and_save_pretrained_subfolder()
		self.create_and_test_config_with_num_labels()
		self.check_config_can_be_init_without_params()
		self.check_config_arguments_init()



'''simple docstring'''





import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey





class 		__SCREAMING_SNAKE_CASE							:







				def __init__(       self     :		Union[str, Any]		,					UpperCAmelCase__     :		Union[str, Any]		,					UpperCAmelCase__     :		int		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										if dst_width < 0 or dst_height < 0:
																raise ValueError('''Destination width/height should be > 0'''   )

										lowercase :							Union[str, Any]    		=img
										lowercase :							Union[str, Any]    		=img.shape[1]
										lowercase :							str    		=img.shape[0]
										lowercase :							Union[str, Any]    		=dst_width
										lowercase :							str    		=dst_height

										lowercase :							str    		=self.src_w / self.dst_w
										lowercase :							Optional[Any]    		=self.src_h / self.dst_h

										lowercase :							int    		=(
										    np.ones((self.dst_h, self.dst_w, 3)		,					np.uinta   ) * 255
										)







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										for i in range(self.dst_h   ):
																for j in range(self.dst_w   ):
																						lowercase :							List[Any]    		=self.img[self.get_y(UpperCAmelCase__   )][self.get_x(UpperCAmelCase__   )]







				def  lowerCamelCase_	(       self     :		Tuple		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return int(self.ratio_x * x   )







				def  lowerCamelCase_	(       self     :		List[Any]		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return int(self.ratio_y * y   )


if __name__ == "__main__":
							UpperCamelCase_						,   UpperCamelCase_    						=       800, 600
							UpperCamelCase_    						=       imread("""image_data/lena.jpg""", 1)
							UpperCamelCase_    						=       NearestNeighbour(im, dst_w, dst_h)
							n.process()

							imshow(
							    f'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
							)
							waitKey(0)
							destroyAllWindows()





