



import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from huggingface_hub import HfFolder, Repository, create_repo, delete_repo
from requests.exceptions import HTTPError

import transformers
from transformers import (
    CONFIG_MAPPING,
    FEATURE_EXTRACTOR_MAPPING,
    PROCESSOR_MAPPING,
    TOKENIZER_MAPPING,
    AutoConfig,
    AutoFeatureExtractor,
    AutoProcessor,
    AutoTokenizer,
    BertTokenizer,
    ProcessorMixin,
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
    WavaVecaProcessor,
)
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test
from transformers.tokenization_utils import TOKENIZER_CONFIG_FILE
from transformers.utils import FEATURE_EXTRACTOR_NAME, is_tokenizers_available


sys.path.append(str(Path(__file__).parent.parent.parent.parent / "utils"))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402
from test_module.custom_processing import CustomProcessor  # noqa E402
from test_module.custom_tokenization import CustomTokenizer  # noqa E402


a__      :				Dict   	=			get_tests_dir("fixtures/dummy_feature_extractor_config.json")
a__      :				Optional[Any]   	=			get_tests_dir("fixtures/vocab.json")
a__      :				List[Any]   	=			get_tests_dir("fixtures")



class       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   A    :  Optional[int]       				=    ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]


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




         """simple docstring"""

         lowercase__     =  0


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




         """simple docstring"""

         lowercase__     =  AutoProcessor.from_pretrained('facebook/wav2vec2-base-960h')
         self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)


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




         """simple docstring"""

         with tempfile.TemporaryDirectory() as tmpdirname:
               lowercase__     =  WavaVecaConfig()
               lowercase__     =  AutoProcessor.from_pretrained('facebook/wav2vec2-base-960h')

               # save in new folder
               model_config.save_pretrained(lowerCAmelCase)
               processor.save_pretrained(lowerCAmelCase)

               lowercase__     =  AutoProcessor.from_pretrained(lowerCAmelCase)

         self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)


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




         """simple docstring"""

         with tempfile.TemporaryDirectory() as tmpdirname:
               # copy relevant files
               copyfile(lowerCAmelCase			,				os.path.join(lowerCAmelCase			,				lowerCAmelCase))
               copyfile(lowerCAmelCase			,				os.path.join(lowerCAmelCase			,				'vocab.json'))

               lowercase__     =  AutoProcessor.from_pretrained(lowerCAmelCase)

         self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)


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




         """simple docstring"""

         with tempfile.TemporaryDirectory() as tmpdirname:
               lowercase__     =  WavaVecaFeatureExtractor()
               lowercase__     =  AutoTokenizer.from_pretrained('facebook/wav2vec2-base-960h')

               lowercase__     =  WavaVecaProcessor(lowerCAmelCase			,				lowerCAmelCase)

               # save in new folder
               processor.save_pretrained(lowerCAmelCase)

               # drop `processor_class` in tokenizer
               with open(os.path.join(lowerCAmelCase			,				lowerCAmelCase)			,				'r') as f:
                     lowercase__     =  json.load(lowerCAmelCase)
                     config_dict.pop('processor_class')

               with open(os.path.join(lowerCAmelCase			,				lowerCAmelCase)			,				'w') as f:
                     f.write(json.dumps(lowerCAmelCase))

               lowercase__     =  AutoProcessor.from_pretrained(lowerCAmelCase)

         self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)


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




         """simple docstring"""

         with tempfile.TemporaryDirectory() as tmpdirname:
               lowercase__     =  WavaVecaFeatureExtractor()
               lowercase__     =  AutoTokenizer.from_pretrained('facebook/wav2vec2-base-960h')

               lowercase__     =  WavaVecaProcessor(lowerCAmelCase			,				lowerCAmelCase)

               # save in new folder
               processor.save_pretrained(lowerCAmelCase)

               # drop `processor_class` in feature extractor
               with open(os.path.join(lowerCAmelCase			,				lowerCAmelCase)			,				'r') as f:
                     lowercase__     =  json.load(lowerCAmelCase)
                     config_dict.pop('processor_class')

               with open(os.path.join(lowerCAmelCase			,				lowerCAmelCase)			,				'w') as f:
                     f.write(json.dumps(lowerCAmelCase))

               lowercase__     =  AutoProcessor.from_pretrained(lowerCAmelCase)

         self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)


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




         """simple docstring"""

         with tempfile.TemporaryDirectory() as tmpdirname:
               lowercase__     =  WavaVecaConfig(processor_class='Wav2Vec2Processor')
               model_config.save_pretrained(lowerCAmelCase)
               # copy relevant files
               copyfile(lowerCAmelCase			,				os.path.join(lowerCAmelCase			,				'vocab.json'))
               # create emtpy sample processor
               with open(os.path.join(lowerCAmelCase			,				lowerCAmelCase)			,				'w') as f:
                     f.write('{}')

               lowercase__     =  AutoProcessor.from_pretrained(lowerCAmelCase)

         self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)


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




         """simple docstring"""

         with self.assertRaises(lowerCAmelCase):
               lowercase__     =  AutoProcessor.from_pretrained('hf-internal-testing/test_dynamic_processor')
         # If remote code is disabled, we can't load this config.
         with self.assertRaises(lowerCAmelCase):
               lowercase__     =  AutoProcessor.from_pretrained(
                   'hf-internal-testing/test_dynamic_processor'			,				trust_remote_code=lowerCAmelCase)

         lowercase__     =  AutoProcessor.from_pretrained('hf-internal-testing/test_dynamic_processor'			,				trust_remote_code=lowerCAmelCase)
         self.assertTrue(processor.special_attribute_present)
         self.assertEqual(processor.__class__.__name__			,				'NewProcessor')

         lowercase__     =  processor.feature_extractor
         self.assertTrue(feature_extractor.special_attribute_present)
         self.assertEqual(feature_extractor.__class__.__name__			,				'NewFeatureExtractor')

         lowercase__     =  processor.tokenizer
         self.assertTrue(tokenizer.special_attribute_present)
         if is_tokenizers_available():
               self.assertEqual(tokenizer.__class__.__name__			,				'NewTokenizerFast')

               # Test we can also load the slow version
               lowercase__     =  AutoProcessor.from_pretrained(
                   'hf-internal-testing/test_dynamic_processor'			,				trust_remote_code=lowerCAmelCase			,				use_fast=lowerCAmelCase)
               lowercase__     =  new_processor.tokenizer
               self.assertTrue(new_tokenizer.special_attribute_present)
               self.assertEqual(new_tokenizer.__class__.__name__			,				'NewTokenizer')
         else:
               self.assertEqual(tokenizer.__class__.__name__			,				'NewTokenizer')


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




         """simple docstring"""

         try:
               AutoConfig.register('custom'			,				lowerCAmelCase)
               AutoFeatureExtractor.register(lowerCAmelCase			,				lowerCAmelCase)
               AutoTokenizer.register(lowerCAmelCase			,				slow_tokenizer_class=lowerCAmelCase)
               AutoProcessor.register(lowerCAmelCase			,				lowerCAmelCase)
               # Trying to register something existing in the Transformers library will raise an error
               with self.assertRaises(lowerCAmelCase):
                     AutoProcessor.register(lowerCAmelCase			,				lowerCAmelCase)

               # Now that the config is registered, it can be used as any other config with the auto-API
               lowercase__     =  CustomFeatureExtractor.from_pretrained(lowerCAmelCase)

               with tempfile.TemporaryDirectory() as tmp_dir:
                     lowercase__     =  os.path.join(lowerCAmelCase			,				'vocab.txt')
                     with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as vocab_writer:
                           vocab_writer.write(''.join([x + '\n' for x in self.vocab_tokens]))
                     lowercase__     =  CustomTokenizer(lowerCAmelCase)

               lowercase__     =  CustomProcessor(lowerCAmelCase			,				lowerCAmelCase)

               with tempfile.TemporaryDirectory() as tmp_dir:
                     processor.save_pretrained(lowerCAmelCase)
                     lowercase__     =  AutoProcessor.from_pretrained(lowerCAmelCase)
                     self.assertIsInstance(lowerCAmelCase			,				lowerCAmelCase)

         finally:
               if "custom" in CONFIG_MAPPING._extra_content:
                     del CONFIG_MAPPING._extra_content["custom"]
               if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
                     del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]
               if CustomConfig in TOKENIZER_MAPPING._extra_content:
                     del TOKENIZER_MAPPING._extra_content[CustomConfig]
               if CustomConfig in PROCESSOR_MAPPING._extra_content:
                     del PROCESSOR_MAPPING._extra_content[CustomConfig]


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




         """simple docstring"""

         class       UpperCAmelCase__(							lowerCamelCase	):

            '''simple docstring'''




            A    :  str       				=    False



         class       UpperCAmelCase__(							lowerCamelCase	):

            '''simple docstring'''




            A    :  Tuple       				=    False



         class       UpperCAmelCase__(							lowerCamelCase	):

            '''simple docstring'''




            A    :  Any       				=    "AutoFeatureExtractor"
            A    :  Any       				=    "AutoTokenizer"
            A    :  Union[str, Any]       				=    False

         try:
               AutoConfig.register('custom'			,				lowerCAmelCase)
               AutoFeatureExtractor.register(lowerCAmelCase			,				lowerCAmelCase)
               AutoTokenizer.register(lowerCAmelCase			,				slow_tokenizer_class=lowerCAmelCase)
               AutoProcessor.register(lowerCAmelCase			,				lowerCAmelCase)
               # If remote code is not set, the default is to use local classes.
               lowercase__     =  AutoProcessor.from_pretrained('hf-internal-testing/test_dynamic_processor')
               self.assertEqual(processor.__class__.__name__			,				'NewProcessor')
               self.assertFalse(processor.special_attribute_present)
               self.assertFalse(processor.feature_extractor.special_attribute_present)
               self.assertFalse(processor.tokenizer.special_attribute_present)

               # If remote code is disabled, we load the local ones.
               lowercase__     =  AutoProcessor.from_pretrained(
                   'hf-internal-testing/test_dynamic_processor'			,				trust_remote_code=lowerCAmelCase)
               self.assertEqual(processor.__class__.__name__			,				'NewProcessor')
               self.assertFalse(processor.special_attribute_present)
               self.assertFalse(processor.feature_extractor.special_attribute_present)
               self.assertFalse(processor.tokenizer.special_attribute_present)

               # If remote is enabled, we load from the Hub.
               lowercase__     =  AutoProcessor.from_pretrained(
                   'hf-internal-testing/test_dynamic_processor'			,				trust_remote_code=lowerCAmelCase)
               self.assertEqual(processor.__class__.__name__			,				'NewProcessor')
               self.assertTrue(processor.special_attribute_present)
               self.assertTrue(processor.feature_extractor.special_attribute_present)
               self.assertTrue(processor.tokenizer.special_attribute_present)

         finally:
               if "custom" in CONFIG_MAPPING._extra_content:
                     del CONFIG_MAPPING._extra_content["custom"]
               if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
                     del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]
               if CustomConfig in TOKENIZER_MAPPING._extra_content:
                     del TOKENIZER_MAPPING._extra_content[CustomConfig]
               if CustomConfig in PROCESSOR_MAPPING._extra_content:
                     del PROCESSOR_MAPPING._extra_content[CustomConfig]


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




         """simple docstring"""

         lowercase__     =  AutoProcessor.from_pretrained('hf-internal-testing/tiny-random-bert')
         self.assertEqual(processor.__class__.__name__			,				'BertTokenizerFast')



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




         """simple docstring"""

         lowercase__     =  AutoProcessor.from_pretrained('hf-internal-testing/tiny-random-convnext')
         self.assertEqual(processor.__class__.__name__			,				'ConvNextImageProcessor')



@is_staging_test
class       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   A    :  List[str]       				=    ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]


   @classmethod
   def 			UpperCAmelCase		(						cls  :			Union[str, Any])	->				List[str]:




         """simple docstring"""

         lowercase__     =  TOKEN
         HfFolder.save_token(lowerCAmelCase)


   @classmethod
   def 			UpperCAmelCase		(						cls  :			Dict)	->				List[str]:




         """simple docstring"""

         try:
               delete_repo(token=cls._token			,				repo_id='test-processor')
         except HTTPError:
               pass

         try:
               delete_repo(token=cls._token			,				repo_id='valid_org/test-processor-org')
         except HTTPError:
               pass

         try:
               delete_repo(token=cls._token			,				repo_id='test-dynamic-processor')
         except HTTPError:
               pass


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




         """simple docstring"""

         lowercase__     =  WavaVecaProcessor.from_pretrained(lowerCAmelCase)
         with tempfile.TemporaryDirectory() as tmp_dir:
               processor.save_pretrained(
                   os.path.join(lowerCAmelCase			,				'test-processor')			,				push_to_hub=lowerCAmelCase			,				use_auth_token=self._token)

               lowercase__     =  WavaVecaProcessor.from_pretrained(f'''{USER}/test-processor''')
               for k, v in processor.feature_extractor.__dict__.items():
                     self.assertEqual(lowerCAmelCase			,				getattr(new_processor.feature_extractor			,				lowerCAmelCase))
               self.assertDictEqual(new_processor.tokenizer.get_vocab()			,				processor.tokenizer.get_vocab())


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




         """simple docstring"""

         lowercase__     =  WavaVecaProcessor.from_pretrained(lowerCAmelCase)

         with tempfile.TemporaryDirectory() as tmp_dir:
               processor.save_pretrained(
                   os.path.join(lowerCAmelCase			,				'test-processor-org')			,				push_to_hub=lowerCAmelCase			,				use_auth_token=self._token			,				organization='valid_org'			,				)

               lowercase__     =  WavaVecaProcessor.from_pretrained('valid_org/test-processor-org')
               for k, v in processor.feature_extractor.__dict__.items():
                     self.assertEqual(lowerCAmelCase			,				getattr(new_processor.feature_extractor			,				lowerCAmelCase))
               self.assertDictEqual(new_processor.tokenizer.get_vocab()			,				processor.tokenizer.get_vocab())



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




         """simple docstring"""

         CustomFeatureExtractor.register_for_auto_class()
         CustomTokenizer.register_for_auto_class()
         CustomProcessor.register_for_auto_class()

         lowercase__     =  CustomFeatureExtractor.from_pretrained(lowerCAmelCase)

         with tempfile.TemporaryDirectory() as tmp_dir:
               lowercase__     =  os.path.join(lowerCAmelCase			,				'vocab.txt')
               with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as vocab_writer:
                     vocab_writer.write(''.join([x + '\n' for x in self.vocab_tokens]))
               lowercase__     =  CustomTokenizer(lowerCAmelCase)

         lowercase__     =  CustomProcessor(lowerCAmelCase			,				lowerCAmelCase)

         with tempfile.TemporaryDirectory() as tmp_dir:
               create_repo(f'''{USER}/test-dynamic-processor'''			,				token=self._token)
               lowercase__     =  Repository(lowerCAmelCase			,				clone_from=f'''{USER}/test-dynamic-processor'''			,				token=self._token)
               processor.save_pretrained(lowerCAmelCase)

               # This has added the proper auto_map field to the feature extractor config
               self.assertDictEqual(
                   processor.feature_extractor.auto_map			,				{
                       'AutoFeatureExtractor': 'custom_feature_extraction.CustomFeatureExtractor',
                       'AutoProcessor': 'custom_processing.CustomProcessor',
                   }			,				)

               # This has added the proper auto_map field to the tokenizer config
               with open(os.path.join(lowerCAmelCase			,				'tokenizer_config.json')) as f:
                     lowercase__     =  json.load(lowerCAmelCase)
               self.assertDictEqual(
                   tokenizer_config['auto_map']			,				{
                       'AutoTokenizer': ['custom_tokenization.CustomTokenizer', None],
                       'AutoProcessor': 'custom_processing.CustomProcessor',
                   }			,				)

               # The code has been copied from fixtures
               self.assertTrue(os.path.isfile(os.path.join(lowerCAmelCase			,				'custom_feature_extraction.py')))
               self.assertTrue(os.path.isfile(os.path.join(lowerCAmelCase			,				'custom_tokenization.py')))
               self.assertTrue(os.path.isfile(os.path.join(lowerCAmelCase			,				'custom_processing.py')))

               repo.push_to_hub()

         lowercase__     =  AutoProcessor.from_pretrained(f'''{USER}/test-dynamic-processor'''			,				trust_remote_code=lowerCAmelCase)
         # Can't make an isinstance check because the new_processor is from the CustomProcessor class of a dynamic module
         self.assertEqual(new_processor.__class__.__name__			,				'CustomProcessor')





# 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)
