



import inspect
import unittest

from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available

from ...test_backbone_common import BackboneTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
							import torch
							from torch import nn

							from transformers import BitBackbone, BitForImageClassification, BitImageProcessor, BitModel
							from transformers.models.bit.modeling_bit import BIT_PRETRAINED_MODEL_ARCHIVE_LIST


if is_vision_available():
							from PIL import Image



class       UpperCAmelCase__:

			'''simple docstring'''




			def __init__(						self  :			str			,				lowerCAmelCase  :			int			,				lowerCAmelCase  :			int=3			,				lowerCAmelCase  :			List[str]=32			,				lowerCAmelCase  :			Tuple=3			,				lowerCAmelCase  :			Tuple=10			,				lowerCAmelCase  :			List[str]=[8, 16, 32, 64]			,				lowerCAmelCase  :			str=[1, 1, 2, 1]			,				lowerCAmelCase  :			Optional[Any]=True			,				lowerCAmelCase  :			Optional[int]=True			,				lowerCAmelCase  :			str="relu"			,				lowerCAmelCase  :			Dict=3			,				lowerCAmelCase  :			str=None			,				lowerCAmelCase  :			Any=["stage2", "stage3", "stage4"]			,				lowerCAmelCase  :			Dict=[2, 3, 4]			,				lowerCAmelCase  :			List[Any]=1			,				)	->				Tuple:




									"""simple docstring"""

									lowercase__     =  parent
									lowercase__     =  batch_size
									lowercase__     =  image_size
									lowercase__     =  num_channels
									lowercase__     =  embeddings_size
									lowercase__     =  hidden_sizes
									lowercase__     =  depths
									lowercase__     =  is_training
									lowercase__     =  use_labels
									lowercase__     =  hidden_act
									lowercase__     =  num_labels
									lowercase__     =  scope
									lowercase__     =  len(lowerCAmelCase)
									lowercase__     =  out_features
									lowercase__     =  out_indices
									lowercase__     =  num_groups


			def 			UpperCAmelCase		(						self  :			Dict)	->				str:




									"""simple docstring"""

									lowercase__     =  floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size])

									lowercase__     =  None
									if self.use_labels:
															lowercase__     =  ids_tensor([self.batch_size]			,				self.num_labels)

									lowercase__     =  self.get_config()

									return config, pixel_values, labels


			def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Optional[int]:




									"""simple docstring"""

									return BitConfig(
									    num_channels=self.num_channels			,				embeddings_size=self.embeddings_size			,				hidden_sizes=self.hidden_sizes			,				depths=self.depths			,				hidden_act=self.hidden_act			,				num_labels=self.num_labels			,				out_features=self.out_features			,				out_indices=self.out_indices			,				num_groups=self.num_groups			,				)


			def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			List[str])	->				Any:




									"""simple docstring"""

									lowercase__     =  BitModel(config=lowerCAmelCase)
									model.to(lowerCAmelCase)
									model.eval()
									lowercase__     =  model(lowerCAmelCase)
									self.parent.assertEqual(
									    result.last_hidden_state.shape			,				(self.batch_size, self.hidden_sizes[-1], self.image_size // 32, self.image_size // 32)			,				)


			def 			UpperCAmelCase		(						self  :			Tuple			,				lowerCAmelCase  :			List[Any]			,				lowerCAmelCase  :			Any			,				lowerCAmelCase  :			Optional[Any])	->				str:




									"""simple docstring"""

									lowercase__     =  self.num_labels
									lowercase__     =  BitForImageClassification(lowerCAmelCase)
									model.to(lowerCAmelCase)
									model.eval()
									lowercase__     =  model(lowerCAmelCase			,				labels=lowerCAmelCase)
									self.parent.assertEqual(result.logits.shape			,				(self.batch_size, self.num_labels))


			def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			Tuple			,				lowerCAmelCase  :			Optional[int]			,				lowerCAmelCase  :			Tuple)	->				Optional[Any]:




									"""simple docstring"""

									lowercase__     =  BitBackbone(config=lowerCAmelCase)
									model.to(lowerCAmelCase)
									model.eval()
									lowercase__     =  model(lowerCAmelCase)

									# verify feature maps
									self.parent.assertEqual(len(result.feature_maps)			,				len(config.out_features))
									self.parent.assertListEqual(list(result.feature_maps[0].shape)			,				[self.batch_size, self.hidden_sizes[1], 4, 4])

									# verify channels
									self.parent.assertEqual(len(model.channels)			,				len(config.out_features))
									self.parent.assertListEqual(model.channels			,				config.hidden_sizes[1:])

									# verify backbone works with out_features=None
									lowercase__     =  None
									lowercase__     =  BitBackbone(config=lowerCAmelCase)
									model.to(lowerCAmelCase)
									model.eval()
									lowercase__     =  model(lowerCAmelCase)

									# verify feature maps
									self.parent.assertEqual(len(result.feature_maps)			,				1)
									self.parent.assertListEqual(list(result.feature_maps[0].shape)			,				[self.batch_size, self.hidden_sizes[-1], 1, 1])

									# verify channels
									self.parent.assertEqual(len(model.channels)			,				1)
									self.parent.assertListEqual(model.channels			,				[config.hidden_sizes[-1]])



			def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Optional[Any]:




									"""simple docstring"""

									lowercase__     =  self.prepare_config_and_inputs()
									lowercase__,	lowercase__,	lowercase__     =  config_and_inputs
									lowercase__     =  {'pixel_values': pixel_values}
									return config, inputs_dict



@require_torch
class       UpperCAmelCase__(							snake_case_     ,							snake_case_     ,							unittest.TestCase	):

			'''simple docstring'''




			A    :  List[Any]       				=    (BitModel, BitForImageClassification, BitBackbone) if is_torch_available() else ()
			A    :  Union[str, Any]       				=    (
			    {"""feature-extraction""": BitModel, """image-classification""": BitForImageClassification}
			    if is_torch_available()
			    else {}
			)

			A    :  Dict       				=    False
			A    :  Optional[Any]       				=    False
			A    :  Optional[Any]       				=    False
			A    :  Optional[int]       				=    False
			A    :  str       				=    False


			def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				Any:




									"""simple docstring"""

									lowercase__     =  BitModelTester(self)
									lowercase__     =  ConfigTester(self			,				config_class=lowerCAmelCase			,				has_text_modality=lowerCAmelCase)


			def 			UpperCAmelCase		(						self  :			Tuple)	->				Union[str, Any]:




									"""simple docstring"""

									self.create_and_test_config_common_properties()
									self.config_tester.create_and_test_config_to_json_string()
									self.config_tester.create_and_test_config_to_json_file()
									self.config_tester.create_and_test_config_from_and_save_pretrained()
									self.config_tester.create_and_test_config_with_num_labels()
									self.config_tester.check_config_can_be_init_without_params()
									self.config_tester.check_config_arguments_init()


			def 			UpperCAmelCase		(						self  :			Tuple)	->				Tuple:




									"""simple docstring"""

									return


			@unittest.skip(reason='Bit does not output attentions')
			def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				Optional[Any]:




									"""simple docstring"""

									pass


			@unittest.skip(reason='Bit does not use inputs_embeds')
			def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				str:




									"""simple docstring"""

									pass


			@unittest.skip(reason='Bit does not support input and output embeddings')
			def 			UpperCAmelCase		(						self  :			Optional[Any])	->				str:




									"""simple docstring"""

									pass


			def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Any:




									"""simple docstring"""

									lowercase__,	lowercase__     =  self.model_tester.prepare_config_and_inputs_for_common()

									for model_class in self.all_model_classes:
															lowercase__     =  model_class(lowerCAmelCase)
															lowercase__     =  inspect.signature(model.forward)
															# signature.parameters is an OrderedDict => so arg_names order is deterministic
															lowercase__     =  [*signature.parameters.keys()]

															lowercase__     =  ['pixel_values']
															self.assertListEqual(arg_names[:1]			,				lowerCAmelCase)


			def 			UpperCAmelCase		(						self  :			List[str])	->				List[Any]:




									"""simple docstring"""

									lowercase__     =  self.model_tester.prepare_config_and_inputs()
									self.model_tester.create_and_check_model(*lowerCAmelCase)


			def 			UpperCAmelCase		(						self  :			int)	->				int:




									"""simple docstring"""

									lowercase__     =  self.model_tester.prepare_config_and_inputs()
									self.model_tester.create_and_check_backbone(*lowerCAmelCase)


			def 			UpperCAmelCase		(						self  :			List[str])	->				str:




									"""simple docstring"""

									lowercase__,	lowercase__     =  self.model_tester.prepare_config_and_inputs_for_common()

									for model_class in self.all_model_classes:
															lowercase__     =  model_class(config=lowerCAmelCase)
															for name, module in model.named_modules():
																					if isinstance(lowerCAmelCase			,				(nn.BatchNormad, nn.GroupNorm)):
																											self.assertTrue(
																											    torch.all(module.weight == 1)			,				msg=f'''Parameter {name} of model {model_class} seems not properly initialized'''			,				)
																											self.assertTrue(
																											    torch.all(module.bias == 0)			,				msg=f'''Parameter {name} of model {model_class} seems not properly initialized'''			,				)


			def 			UpperCAmelCase		(						self  :			str)	->				List[Any]:




									"""simple docstring"""

									def check_hidden_states_output(lowerCAmelCase  :			Any			,				lowerCAmelCase  :			List[str]			,				lowerCAmelCase  :			List[Any]):
															lowercase__     =  model_class(lowerCAmelCase)
															model.to(lowerCAmelCase)
															model.eval()

															with torch.no_grad():
																					lowercase__     =  model(**self._prepare_for_class(lowerCAmelCase			,				lowerCAmelCase))

															lowercase__     =  outputs.encoder_hidden_states if config.is_encoder_decoder else outputs.hidden_states

															lowercase__     =  self.model_tester.num_stages
															self.assertEqual(len(lowerCAmelCase)			,				expected_num_stages + 1)

															# Bit's feature maps are of shape (batch_size, num_channels, height, width)
															self.assertListEqual(
															    list(hidden_states[0].shape[-2:])			,				[self.model_tester.image_size // 4, self.model_tester.image_size // 4]			,				)

									lowercase__,	lowercase__     =  self.model_tester.prepare_config_and_inputs_for_common()
									lowercase__     =  ['preactivation', 'bottleneck']
									for model_class in self.all_model_classes:
															for layer_type in layers_type:
																					lowercase__     =  layer_type
																					lowercase__     =  True
																					check_hidden_states_output(lowerCAmelCase			,				lowerCAmelCase			,				lowerCAmelCase)

																					# check that output_hidden_states also work using config
																					del inputs_dict["output_hidden_states"]
																					lowercase__     =  True

																					check_hidden_states_output(lowerCAmelCase			,				lowerCAmelCase			,				lowerCAmelCase)


			@unittest.skip(reason='Bit does not use feedforward chunking')
			def 			UpperCAmelCase		(						self  :			Dict)	->				Optional[Any]:




									"""simple docstring"""

									pass


			def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Optional[int]:




									"""simple docstring"""

									lowercase__     =  self.model_tester.prepare_config_and_inputs()
									self.model_tester.create_and_check_for_image_classification(*lowerCAmelCase)



			@slow
			def 			UpperCAmelCase		(						self  :			str)	->				Union[str, Any]:




									"""simple docstring"""

									for model_name in BIT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
															lowercase__     =  BitModel.from_pretrained(lowerCAmelCase)
															self.assertIsNotNone(lowerCAmelCase)

def   _lowerCAmelCase   (						):
						lowercase__     =  Image.open('./tests/fixtures/tests_samples/COCO/000000039769.png'	)
						return image



@require_torch
@require_vision
class       UpperCAmelCase__(							unittest.TestCase	):

			'''simple docstring'''




			@cached_property
			def 			UpperCAmelCase		(						self  :			int)	->				Optional[int]:




									"""simple docstring"""

									return (
									    BitImageProcessor.from_pretrained(BIT_PRETRAINED_MODEL_ARCHIVE_LIST[0]) if is_vision_available() else None
									)



			@slow
			def 			UpperCAmelCase		(						self  :			str)	->				Dict:




									"""simple docstring"""

									lowercase__     =  BitForImageClassification.from_pretrained(BIT_PRETRAINED_MODEL_ARCHIVE_LIST[0]).to(lowerCAmelCase)

									lowercase__     =  self.default_image_processor
									lowercase__     =  prepare_img()
									lowercase__     =  image_processor(images=lowerCAmelCase			,				return_tensors='pt').to(lowerCAmelCase)

									# forward pass
									with torch.no_grad():
															lowercase__     =  model(**lowerCAmelCase)

									# verify the logits
									lowercase__     =  torch.Size((1, 10_00))
									self.assertEqual(outputs.logits.shape			,				lowerCAmelCase)

									lowercase__     =  torch.tensor([[-0.65_26, -0.52_63, -1.43_98]]).to(lowerCAmelCase)

									self.assertTrue(torch.allclose(outputs.logits[0, :3]			,				lowerCAmelCase			,				atol=1E-4))



@require_torch
class       UpperCAmelCase__(							snake_case_     ,							unittest.TestCase	):

			'''simple docstring'''




			A    :  int       				=    (BitBackbone,) if is_torch_available() else ()
			A    :  Any       				=    BitConfig

			A    :  List[Any]       				=    False


			def 			UpperCAmelCase		(						self  :			List[Any])	->				int:




									"""simple docstring"""

									lowercase__     =  BitModelTester(self)





# Imports
import numpy as np



class       UpperCAmelCase__:

   '''simple docstring'''




   def __init__(						self  :			Any			,				lowerCAmelCase  :			Dict=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			List[str]=None			,				lowerCAmelCase  :			List[str]=None)	->				Dict:




         """simple docstring"""

         self.set_matricies(red=lowerCAmelCase			,				green=lowerCAmelCase			,				blue=lowerCAmelCase			,				red_edge=lowerCAmelCase			,				nir=lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			Dict			,				lowerCAmelCase  :			Dict=None			,				lowerCAmelCase  :			Union[str, Any]=None			,				lowerCAmelCase  :			Tuple=None			,				lowerCAmelCase  :			str=None			,				lowerCAmelCase  :			str=None)	->				int:




         """simple docstring"""

         if red is not None:
               lowercase__     =  red
         if green is not None:
               lowercase__     =  green
         if blue is not None:
               lowercase__     =  blue
         if red_edge is not None:
               lowercase__     =  red_edge
         if nir is not None:
               lowercase__     =  nir
         return True


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			Union[str, Any]=""			,				lowerCAmelCase  :			Tuple=None			,				lowerCAmelCase  :			Optional[Any]=None			,				lowerCAmelCase  :			Optional[Any]=None			,				lowerCAmelCase  :			List[Any]=None			,				lowerCAmelCase  :			Dict=None)	->				Union[str, Any]:




         """simple docstring"""

         self.set_matricies(red=lowerCAmelCase			,				green=lowerCAmelCase			,				blue=lowerCAmelCase			,				red_edge=lowerCAmelCase			,				nir=lowerCAmelCase)
         lowercase__     =  {
             'ARVI2': self.arvaa,
             'CCCI': self.ccci,
             'CVI': self.cvi,
             'GLI': self.gli,
             'NDVI': self.ndvi,
             'BNDVI': self.bndvi,
             'redEdgeNDVI': self.red_edge_ndvi,
             'GNDVI': self.gndvi,
             'GBNDVI': self.gbndvi,
             'GRNDVI': self.grndvi,
             'RBNDVI': self.rbndvi,
             'PNDVI': self.pndvi,
             'ATSAVI': self.atsavi,
             'BWDRVI': self.bwdrvi,
             'CIgreen': self.ci_green,
             'CIrededge': self.ci_rededge,
             'CI': self.ci,
             'CTVI': self.ctvi,
             'GDVI': self.gdvi,
             'EVI': self.evi,
             'GEMI': self.gemi,
             'GOSAVI': self.gosavi,
             'GSAVI': self.gsavi,
             'Hue': self.hue,
             'IVI': self.ivi,
             'IPVI': self.ipvi,
             'I': self.i,
             'RVI': self.rvi,
             'MRVI': self.mrvi,
             'MSAVI': self.m_savi,
             'NormG': self.norm_g,
             'NormNIR': self.norm_nir,
             'NormR': self.norm_r,
             'NGRDI': self.ngrdi,
             'RI': self.ri,
             'S': self.s,
             'IF': self._if,
             'DVI': self.dvi,
             'TVI': self.tvi,
             'NDRE': self.ndre,
         }

         try:
               return funcs[index]()
         except KeyError:
               print('Index not in the list!')
               return False


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




         """simple docstring"""

         return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))


   def 			UpperCAmelCase		(						self  :			int)	->				Any:




         """simple docstring"""

         return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
             (self.nir - self.red) / (self.nir + self.red)
         )


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




         """simple docstring"""

         return self.nir * (self.red / (self.green**2))


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




         """simple docstring"""

         return (2 * self.green - self.red - self.blue) / (
             2 * self.green + self.red + self.blue
         )


   def 			UpperCAmelCase		(						self  :			Tuple)	->				Any:




         """simple docstring"""

         return (self.nir - self.red) / (self.nir + self.red)


   def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				str:




         """simple docstring"""

         return (self.nir - self.blue) / (self.nir + self.blue)


   def 			UpperCAmelCase		(						self  :			List[Any])	->				Optional[int]:




         """simple docstring"""

         return (self.redEdge - self.red) / (self.redEdge + self.red)


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Optional[int]:




         """simple docstring"""

         return (self.nir - self.green) / (self.nir + self.green)


   def 			UpperCAmelCase		(						self  :			Dict)	->				int:




         """simple docstring"""

         return (self.nir - (self.green + self.blue)) / (
             self.nir + (self.green + self.blue)
         )


   def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				Optional[int]:




         """simple docstring"""

         return (self.nir - (self.green + self.red)) / (
             self.nir + (self.green + self.red)
         )


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Dict:




         """simple docstring"""

         return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))


   def 			UpperCAmelCase		(						self  :			Any)	->				Union[str, Any]:




         """simple docstring"""

         return (self.nir - (self.green + self.red + self.blue)) / (
             self.nir + (self.green + self.red + self.blue)
         )


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			List[Any]=0.08			,				lowerCAmelCase  :			Optional[int]=1.22			,				lowerCAmelCase  :			int=0.03)	->				List[Any]:




         """simple docstring"""

         return a * (
             (self.nir - a * self.red - b)
             / (a * self.nir + self.red - a * b + x * (1 + a**2))
         )


   def 			UpperCAmelCase		(						self  :			Tuple)	->				Any:




         """simple docstring"""

         return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)


   def 			UpperCAmelCase		(						self  :			int)	->				Tuple:




         """simple docstring"""

         return (self.nir / self.green) - 1


   def 			UpperCAmelCase		(						self  :			Any)	->				str:




         """simple docstring"""

         return (self.nir / self.redEdge) - 1


   def 			UpperCAmelCase		(						self  :			Any)	->				List[str]:




         """simple docstring"""

         return (self.red - self.blue) / self.red


   def 			UpperCAmelCase		(						self  :			Any)	->				Optional[int]:




         """simple docstring"""

         lowercase__     =  self.ndvi()
         return ((ndvi + 0.5) / (abs(ndvi + 0.5))) * (abs(ndvi + 0.5) ** (1 / 2))


   def 			UpperCAmelCase		(						self  :			List[Any])	->				str:




         """simple docstring"""

         return self.nir - self.green


   def 			UpperCAmelCase		(						self  :			Tuple)	->				List[Any]:




         """simple docstring"""

         return 2.5 * (
             (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
         )


   def 			UpperCAmelCase		(						self  :			Any)	->				Union[str, Any]:




         """simple docstring"""

         lowercase__     =  (2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
             self.nir + self.red + 0.5
         )
         return n * (1 - 0.25 * n) - (self.red - 0.1_25) / (1 - self.red)


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			int=0.16)	->				Dict:




         """simple docstring"""

         return (self.nir - self.green) / (self.nir + self.green + y)


   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			Optional[int]=0.5)	->				Union[str, Any]:




         """simple docstring"""

         return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)


   def 			UpperCAmelCase		(						self  :			str)	->				int:




         """simple docstring"""

         return np.arctan(
             ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue))


   def 			UpperCAmelCase		(						self  :			Union[str, Any]			,				lowerCAmelCase  :			int=None			,				lowerCAmelCase  :			List[str]=None)	->				Tuple:




         """simple docstring"""

         return (self.nir - b) / (a * self.red)


   def 			UpperCAmelCase		(						self  :			int)	->				Dict:




         """simple docstring"""

         return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				Optional[Any]:




         """simple docstring"""

         return (self.red + self.green + self.blue) / 30.5


   def 			UpperCAmelCase		(						self  :			int)	->				str:




         """simple docstring"""

         return self.nir / self.red


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				Optional[Any]:




         """simple docstring"""

         return (self.rvi() - 1) / (self.rvi() + 1)


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				Optional[int]:




         """simple docstring"""

         return (
             (2 * self.nir + 1)
             - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
         ) / 2


   def 			UpperCAmelCase		(						self  :			Tuple)	->				Any:




         """simple docstring"""

         return self.green / (self.nir + self.red + self.green)


   def 			UpperCAmelCase		(						self  :			Any)	->				Optional[Any]:




         """simple docstring"""

         return self.nir / (self.nir + self.red + self.green)


   def 			UpperCAmelCase		(						self  :			List[Any])	->				Dict:




         """simple docstring"""

         return self.red / (self.nir + self.red + self.green)


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Any:




         """simple docstring"""

         return (self.green - self.red) / (self.green + self.red)


   def 			UpperCAmelCase		(						self  :			Dict)	->				Tuple:




         """simple docstring"""

         return (self.red - self.green) / (self.red + self.green)


   def 			UpperCAmelCase		(						self  :			str)	->				int:




         """simple docstring"""

         lowercase__     =  np.max([np.max(self.red), np.max(self.green), np.max(self.blue)])
         lowercase__     =  np.min([np.min(self.red), np.min(self.green), np.min(self.blue)])
         return (max_value - min_value) / max_value


   def 			UpperCAmelCase		(						self  :			Optional[int])	->				Tuple:




         """simple docstring"""

         return (2 * self.red - self.green - self.blue) / (self.green - self.blue)


   def 			UpperCAmelCase		(						self  :			int)	->				Optional[Any]:




         """simple docstring"""

         return self.nir / self.red


   def 			UpperCAmelCase		(						self  :			Dict)	->				Dict:




         """simple docstring"""

         return (self.ndvi() + 0.5) ** (1 / 2)



   def 			UpperCAmelCase		(						self  :			str)	->				List[Any]:




         """simple docstring"""

         return (self.nir - self.redEdge) / (self.nir + self.redEdge)
