


# Imports
import numpy as np







class     _lowercase				:


       """simple docstring"""




       def __init__(     self							:    Tuple      ,   __lowerCamelCase							:    Tuple=None      ,   __lowerCamelCase							:    Tuple=None      ,   __lowerCamelCase							:    int=None      ,   __lowerCamelCase							:    List[Any]=None      ,   __lowerCamelCase							:    Optional[Any]=None ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict      ,   __lowerCamelCase							:    str=None      ,   __lowerCamelCase							:    Tuple=None      ,   __lowerCamelCase							:    Optional[int]=None      ,   __lowerCamelCase							:    Tuple=None      ,   __lowerCamelCase							:    Tuple=None ):


             '''simple docstring'''



             if red is not None:
                   lowerCamelCase__	:       Dict					=						red
             if green is not None:
                   lowerCamelCase__	:       Any					=						green
             if blue is not None:
                   lowerCamelCase__	:       Union[str, Any]					=						blue
             if red_edge is not None:
                   lowerCamelCase__	:       Tuple					=						red_edge
             if nir is not None:
                   lowerCamelCase__	:       Any					=						nir
             return True





       def 		lowerCAmelCase  (     self							:    int      ,   __lowerCamelCase							:    Tuple=""      ,   __lowerCamelCase							:    List[Any]=None      ,   __lowerCamelCase							:    int=None      ,   __lowerCamelCase							:    Any=None      ,   __lowerCamelCase							:    Union[str, Any]=None      ,   __lowerCamelCase							:    Tuple=None ):


             '''simple docstring'''



             self.set_matricies(red=_SCREAMING_SNAKE_CASE      ,   green=_SCREAMING_SNAKE_CASE      ,   blue=_SCREAMING_SNAKE_CASE      ,   red_edge=_SCREAMING_SNAKE_CASE      ,   nir=_SCREAMING_SNAKE_CASE )
             lowerCamelCase__	:       int					=						{
                 "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							:    Dict ):


             '''simple docstring'''



             return -0.1_8 + (1.1_7 * ((self.nir - self.red) / (self.nir + self.red)))





       def 		lowerCAmelCase  (     self							:    Tuple ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    str ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    int ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    str ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Optional[int] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    int ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    str      ,   __lowerCamelCase							:    int=0.0_8      ,   __lowerCamelCase							:    Any=1.2_2      ,   __lowerCamelCase							:    Union[str, Any]=0.0_3 ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    int ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       Tuple					=						self.ndvi()
             return ((ndvi + 0.5) / (abs(ndvi + 0.5 ))) * (abs(ndvi + 0.5 ) ** (1 / 2))





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



             return self.nir - self.green





       def 		lowerCAmelCase  (     self							:    List[str] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



             lowerCamelCase__	:       Optional[Any]					=						(2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
                 self.nir + self.red + 0.5
             )
             return n * (1 - 0.2_5 * n) - (self.red - 0.1_2_5) / (1 - self.red)





       def 		lowerCAmelCase  (     self							:    Any      ,   __lowerCamelCase							:    List[str]=0.1_6 ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[str]      ,   __lowerCamelCase							:    Optional[Any]=0.5 ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Optional[int] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Optional[Any]      ,   __lowerCamelCase							:    Any=None      ,   __lowerCamelCase							:    Any=None ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[str] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    str ):


             '''simple docstring'''



             return self.nir / self.red





       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Optional[int] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Tuple ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       List[Any]					=						np.max([np.max(self.red ), np.max(self.green ), np.max(self.blue )] )
             lowerCamelCase__	:       str					=						np.min([np.min(self.red ), np.min(self.green ), np.min(self.blue )] )
             return (max_value - min_value) / max_value





       def 		lowerCAmelCase  (     self							:    Tuple ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



             return self.nir / self.red





       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    List[str] ):


             '''simple docstring'''



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






import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class     _lowercase				(							lowercase__							,						unittest.TestCase):


       """simple docstring"""




       A__      		=    BarthezTokenizer
       A__      		=    BarthezTokenizerFast
       A__      		=    True
       A__      		=    True





       def 		lowerCAmelCase  (     self							:    int ):


             '''simple docstring'''



             super().setUp()

             lowerCamelCase__	:       List[str]					=						BarthezTokenizerFast.from_pretrained("moussaKam/mbarthez" )
             tokenizer.save_pretrained(self.tmpdirname )
             tokenizer.save_pretrained(self.tmpdirname      ,   legacy_format=__lowerCamelCase )
             lowerCamelCase__	:       Tuple					=						tokenizer





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       Any					=						"<pad>"
             lowerCamelCase__	:       Tuple					=						1

             self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCamelCase )      ,   __lowerCamelCase )
             self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCamelCase )      ,   __lowerCamelCase )





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       Dict					=						list(self.get_tokenizer().get_vocab().keys() )

             self.assertEqual(vocab_keys[0]      ,   "<s>" )
             self.assertEqual(vocab_keys[1]      ,   "<pad>" )
             self.assertEqual(vocab_keys[-1]      ,   "<mask>" )
             self.assertEqual(len(__lowerCamelCase )      ,   101122 )





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             self.assertEqual(self.get_tokenizer().vocab_size      ,   101122 )





       @require_torch
       def 		lowerCAmelCase  (     self							:    int ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						["A long paragraph for summarization.", "Another paragraph for summarization."]
             lowerCamelCase__	:       str					=						[0, 57, 3018, 70307, 91, 2]

             lowerCamelCase__	:       Tuple					=						self.tokenizer(
                 __lowerCamelCase      ,   max_length=len(__lowerCamelCase )      ,   padding=__lowerCamelCase      ,   truncation=__lowerCamelCase      ,   return_tensors="pt" )
             self.assertIsInstance(__lowerCamelCase      ,   __lowerCamelCase )

             self.assertEqual((2, 6)      ,   batch.input_ids.shape )
             self.assertEqual((2, 6)      ,   batch.attention_mask.shape )
             lowerCamelCase__	:       Any					=						batch.input_ids.tolist()[0]
             self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase )





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



             if not self.test_rust_tokenizer:
                   return

             lowerCamelCase__	:       Any					=						self.get_tokenizer()
             lowerCamelCase__	:       Tuple					=						self.get_rust_tokenizer()

             lowerCamelCase__	:       Union[str, Any]					=						"I was born in 92000, and this is falsé."

             lowerCamelCase__	:       Dict					=						tokenizer.tokenize(__lowerCamelCase )
             lowerCamelCase__	:       Optional[int]					=						rust_tokenizer.tokenize(__lowerCamelCase )
             self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase )

             lowerCamelCase__	:       Tuple					=						tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase )
             lowerCamelCase__	:       List[Any]					=						rust_tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase )
             self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase )

             lowerCamelCase__	:       List[str]					=						self.get_rust_tokenizer()
             lowerCamelCase__	:       Optional[Any]					=						tokenizer.encode(__lowerCamelCase )
             lowerCamelCase__	:       List[Any]					=						rust_tokenizer.encode(__lowerCamelCase )
             self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase )





       @slow
       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						{"input_ids": [[0, 490, 14328, 4507, 354, 47, 43669, 95, 25, 78117, 20215, 19779, 190, 22, 400, 4, 35343, 80310, 603, 86, 24937, 105, 33438, 94762, 196, 39642, 7, 15, 15933, 173, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 10534, 87, 25, 66, 3358, 196, 55289, 8, 82961, 81, 2204, 75203, 7, 15, 763, 12956, 216, 178, 14328, 9595, 1377, 69693, 7, 448, 71021, 196, 18106, 1437, 13974, 108, 9083, 4, 49315, 7, 39, 86, 1326, 2793, 46333, 4, 448, 196, 74588, 7, 49315, 7, 39, 21, 822, 38470, 74, 21, 66723, 62480, 8, 22050, 5, 2]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
             # fmt: on

             # moussaKam/mbarthez is a french model. So we also use french texts.
             lowerCamelCase__	:       List[str]					=						[
                 "Le transformeur est un modèle d'apprentissage profond introduit en 2017, "
                 "utilisé principalement dans le domaine du traitement automatique des langues (TAL).",
                 "À l'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus "
                 "pour gérer des données séquentielles, telles que le langage naturel, pour des tâches "
                 "telles que la traduction et la synthèse de texte.",
             ]

             self.tokenizer_integration_test_util(
                 expected_encoding=__lowerCamelCase      ,   model_name="moussaKam/mbarthez"      ,   revision="c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6"      ,   sequences=__lowerCamelCase      ,   )


