






"""simple docstring"""

# Imports
import numpy as np


class 		__lowerCamelCase				:





		'''simple docstring'''






		def __init__(   self							:	List[Any]						,			a_							:	Optional[Any]=None						,			a_							:	str=None						,			a_							:	Tuple=None						,			a_							:	Any=None						,			a_							:	Any=None	):
				self.set_matricies(red=lowerCAmelCase__						,			green=lowerCAmelCase__						,			blue=lowerCAmelCase__						,			red_edge=lowerCAmelCase__						,			nir=lowerCAmelCase__	)





		def    lowerCamelCase       (   self							:	Tuple						,			a_							:	Optional[Any]=None						,			a_							:	List[Any]=None						,			a_							:	Union[str, Any]=None						,			a_							:	List[Any]=None						,			a_							:	str=None	):
				if red is not None:
						lowerCAmelCase_   :							Tuple									=			red
				if green is not None:
						lowerCAmelCase_   :							Dict									=			green
				if blue is not None:
						lowerCAmelCase_   :							Tuple									=			blue
				if red_edge is not None:
						lowerCAmelCase_   :							List[Any]									=			red_edge
				if nir is not None:
						lowerCAmelCase_   :							List[Any]									=			nir
				return True





		def    lowerCamelCase       (   self							:	Optional[Any]						,			a_							:	List[Any]=""						,			a_							:	List[Any]=None						,			a_							:	Tuple=None						,			a_							:	str=None						,			a_							:	List[Any]=None						,			a_							:	Tuple=None	):
				self.set_matricies(red=lowerCAmelCase__						,			green=lowerCAmelCase__						,			blue=lowerCAmelCase__						,			red_edge=lowerCAmelCase__						,			nir=lowerCAmelCase__	)
				lowerCAmelCase_   :							List[Any]									=			{
				    '''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    lowerCamelCase       (   self							:	Any	):
				return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))





		def    lowerCamelCase       (   self							:	Optional[int]	):
				return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
				    (self.nir - self.red) / (self.nir + self.red)
				)





		def    lowerCamelCase       (   self							:	Union[str, Any]	):
				return self.nir * (self.red / (self.green**2))





		def    lowerCamelCase       (   self							:	str	):
				return (2 * self.green - self.red - self.blue) / (
				    2 * self.green + self.red + self.blue
				)





		def    lowerCamelCase       (   self							:	int	):
				return (self.nir - self.red) / (self.nir + self.red)





		def    lowerCamelCase       (   self							:	int	):
				return (self.nir - self.blue) / (self.nir + self.blue)





		def    lowerCamelCase       (   self							:	int	):
				return (self.redEdge - self.red) / (self.redEdge + self.red)





		def    lowerCamelCase       (   self							:	Any	):
				return (self.nir - self.green) / (self.nir + self.green)





		def    lowerCamelCase       (   self							:	Optional[Any]	):
				return (self.nir - (self.green + self.blue)) / (
				    self.nir + (self.green + self.blue)
				)





		def    lowerCamelCase       (   self							:	Any	):
				return (self.nir - (self.green + self.red)) / (
				    self.nir + (self.green + self.red)
				)





		def    lowerCamelCase       (   self							:	str	):
				return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))





		def    lowerCamelCase       (   self							:	int	):
				return (self.nir - (self.green + self.red + self.blue)) / (
				    self.nir + (self.green + self.red + self.blue)
				)





		def    lowerCamelCase       (   self							:	List[Any]						,			a_							:	List[Any]=0.08						,			a_							:	Optional[int]=1.22						,			a_							:	Any=0.03	):
				return a * (
				    (self.nir - a * self.red - b)
				    / (a * self.nir + self.red - a * b + x * (1 + a**2))
				)





		def    lowerCamelCase       (   self							:	Tuple	):
				return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)





		def    lowerCamelCase       (   self							:	str	):
				return (self.nir / self.green) - 1





		def    lowerCamelCase       (   self							:	Tuple	):
				return (self.nir / self.redEdge) - 1





		def    lowerCamelCase       (   self							:	Optional[Any]	):
				return (self.red - self.blue) / self.red





		def    lowerCamelCase       (   self							:	Dict	):
				lowerCAmelCase_   :							Optional[int]									=			self.ndvi()
				return ((ndvi + 0.5) / (abs(ndvi + 0.5	))) * (abs(ndvi + 0.5	) ** (1 / 2))





		def    lowerCamelCase       (   self							:	Dict	):
				return self.nir - self.green





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





		def    lowerCamelCase       (   self							:	Tuple	):
				lowerCAmelCase_   :							Dict									=			(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 - 0.125) / (1 - self.red)





		def    lowerCamelCase       (   self							:	Any						,			a_							:	List[Any]=0.16	):
				return (self.nir - self.green) / (self.nir + self.green + y)





		def    lowerCamelCase       (   self							:	Any						,			a_							:	Optional[Any]=0.5	):
				return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)





		def    lowerCamelCase       (   self							:	Optional[int]	):
				return np.arctan(
				    ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)	)





		def    lowerCamelCase       (   self							:	int						,			a_							:	Optional[Any]=None						,			a_							:	Optional[int]=None	):
				return (self.nir - b) / (a * self.red)





		def    lowerCamelCase       (   self							:	Any	):
				return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)





		def    lowerCamelCase       (   self							:	List[Any]	):
				return (self.red + self.green + self.blue) / 30.5





		def    lowerCamelCase       (   self							:	List[Any]	):
				return self.nir / self.red





		def    lowerCamelCase       (   self							:	Any	):
				return (self.rvi() - 1) / (self.rvi() + 1)





		def    lowerCamelCase       (   self							:	List[Any]	):
				return (
				    (2 * self.nir + 1)
				    - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
				) / 2





		def    lowerCamelCase       (   self							:	List[Any]	):
				return self.green / (self.nir + self.red + self.green)





		def    lowerCamelCase       (   self							:	int	):
				return self.nir / (self.nir + self.red + self.green)





		def    lowerCamelCase       (   self							:	Any	):
				return self.red / (self.nir + self.red + self.green)





		def    lowerCamelCase       (   self							:	Any	):
				return (self.green - self.red) / (self.green + self.red)





		def    lowerCamelCase       (   self							:	str	):
				return (self.red - self.green) / (self.red + self.green)





		def    lowerCamelCase       (   self							:	Any	):
				lowerCAmelCase_   :							Dict									=			np.max([np.max(self.red	), np.max(self.green	), np.max(self.blue	)]	)
				lowerCAmelCase_   :							Any									=			np.min([np.min(self.red	), np.min(self.green	), np.min(self.blue	)]	)
				return (max_value - min_value) / max_value





		def    lowerCamelCase       (   self							:	Union[str, Any]	):
				return (2 * self.red - self.green - self.blue) / (self.green - self.blue)





		def    lowerCamelCase       (   self							:	int	):
				return self.nir / self.red





		def    lowerCamelCase       (   self							:	List[str]	):
				return (self.ndvi() + 0.5) ** (1 / 2)





		def    lowerCamelCase       (   self							:	List[str]	):
				return (self.nir - self.redEdge) / (self.nir + self.redEdge)




import os
import shutil
import tempfile
import unittest

import numpy as np

from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow
@require_torch
class        _lowercase      (			unittest.TestCase       ):






				'''simple docstring'''



				def 		__magic_name__(       self			:Union[str, Any]	)		->			Tuple:
										__SCREAMING_SNAKE_CASE						:     str					=		'''ylacombe/bark-small'''
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tempfile.mkdtemp()
										__SCREAMING_SNAKE_CASE						:     str					=		'''en_speaker_1'''
										__SCREAMING_SNAKE_CASE						:     Any					=		'''This is a test string'''
										__SCREAMING_SNAKE_CASE						:     int					=		'''speaker_embeddings_path.json'''
										__SCREAMING_SNAKE_CASE						:     int					=		'''speaker_embeddings'''


				def 		__magic_name__(       self			:List[str]			,			**lowerCAmelCase__			:Union[str, Any]	)		->			Any:
										return AutoTokenizer.from_pretrained(self.checkpoint			,			**lowerCAmelCase__	)


				def 		__magic_name__(       self			:List[str]	)		->			int:
										shutil.rmtree(self.tmpdirname	)


				def 		__magic_name__(       self			:Dict	)		->			str:
										__SCREAMING_SNAKE_CASE						:     Dict					=		self.get_tokenizer()

										__SCREAMING_SNAKE_CASE						:     Tuple					=		BarkProcessor(tokenizer=lowerCAmelCase__	)

										processor.save_pretrained(self.tmpdirname	)
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		BarkProcessor.from_pretrained(self.tmpdirname	)

										self.assertEqual(processor.tokenizer.get_vocab()			,			tokenizer.get_vocab()	)


				@slow
				def 		__magic_name__(       self			:Tuple	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     Dict					=		BarkProcessor.from_pretrained(
										    pretrained_processor_name_or_path=self.checkpoint			,			speaker_embeddings_dict_path=self.speaker_embeddings_dict_path			,			)
										processor.save_pretrained(
										    self.tmpdirname			,			speaker_embeddings_dict_path=self.speaker_embeddings_dict_path			,			speaker_embeddings_directory=self.speaker_embeddings_directory			,			)

										__SCREAMING_SNAKE_CASE						:     Dict					=		self.get_tokenizer(bos_token='''(BOS)'''			,			eos_token='''(EOS)'''	)

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		BarkProcessor.from_pretrained(
										    self.tmpdirname			,			self.speaker_embeddings_dict_path			,			bos_token='''(BOS)'''			,			eos_token='''(EOS)'''			,			)

										self.assertEqual(processor.tokenizer.get_vocab()			,			tokenizer_add_kwargs.get_vocab()	)


				def 		__magic_name__(       self			:List[str]	)		->			Tuple:
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		BarkProcessor.from_pretrained(
										    pretrained_processor_name_or_path=self.checkpoint			,			speaker_embeddings_dict_path=self.speaker_embeddings_dict_path			,			)

										__SCREAMING_SNAKE_CASE						:     str					=		35
										__SCREAMING_SNAKE_CASE						:     str					=		2
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		8

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		{
										    '''semantic_prompt''': np.ones(lowerCAmelCase__	),
										    '''coarse_prompt''': np.ones((nb_codebooks_coarse, seq_len)	),
										    '''fine_prompt''': np.ones((nb_codebooks_total, seq_len)	),
										}

										# test providing already loaded voice_preset
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		processor(text=self.input_string			,			voice_preset=lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     List[str]					=		inputs['''history_prompt''']
										for key in voice_preset:
																self.assertListEqual(voice_preset[key].tolist()			,			processed_voice_preset.get(lowerCAmelCase__			,			np.array([]	)	).tolist()	)

										# test loading voice preset from npz file
										__SCREAMING_SNAKE_CASE						:     str					=		os.path.join(self.tmpdirname			,			'''file.npz'''	)
										np.savez(lowerCAmelCase__			,			**lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		processor(text=self.input_string			,			voice_preset=lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		inputs['''history_prompt''']

										for key in voice_preset:
																self.assertListEqual(voice_preset[key].tolist()			,			processed_voice_preset.get(lowerCAmelCase__			,			np.array([]	)	).tolist()	)

										# test loading voice preset from the hub
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		processor(text=self.input_string			,			voice_preset=self.voice_preset	)



				def 		__magic_name__(       self			:Tuple	)		->			Optional[Any]:
										__SCREAMING_SNAKE_CASE						:     Tuple					=		self.get_tokenizer()

										__SCREAMING_SNAKE_CASE						:     Any					=		BarkProcessor(tokenizer=lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     List[Any]					=		processor(text=self.input_string	)

										__SCREAMING_SNAKE_CASE						:     List[Any]					=		tokenizer(
										    self.input_string			,			padding='''max_length'''			,			max_length=256			,			add_special_tokens=lowerCAmelCase__			,			return_attention_mask=lowerCAmelCase__			,			return_token_type_ids=lowerCAmelCase__			,			)

										for key in encoded_tok.keys():
																self.assertListEqual(encoded_tok[key]			,			encoded_processor[key].squeeze().tolist()	)
