<s> import numpy as np <EOL> from . dtype import img_as_float <EOL> __all__ = [ '<STR_LIT>' ] <EOL> def random_noise ( image , mode = '<STR_LIT>' , seed = None , clip = True , ** kwargs ) : <EOL> """<STR_LIT>""" <EOL> mode = mode . lower ( ) <EOL> if image . min ( ) < <NUM_LIT:0> : <EOL> low_clip = - <NUM_LIT:1.> <EOL> else : <EOL> low_clip = <NUM_LIT:0.> <EOL> image = img_as_float ( image ) <EOL> if seed is not None : <EOL> np . random . seed ( seed = seed ) <EOL> allowedtypes = { <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' } <EOL> kwdefaults = { <EOL> '<STR_LIT>' : <NUM_LIT:0.> , <EOL> '<STR_LIT>' : <NUM_LIT> , <EOL> '<STR_LIT>' : <NUM_LIT> , <EOL> '<STR_LIT>' : <NUM_LIT:0.5> , <EOL> '<STR_LIT>' : np . zeros_like ( image ) + <NUM_LIT> } <EOL> allowedkwargs = { <EOL> '<STR_LIT>' : [ '<STR_LIT>' , '<STR_LIT>' ] , <EOL> '<STR_LIT>' : [ '<STR_LIT>' ] , <EOL> '<STR_LIT>' : [ '<STR_LIT>' ] , <EOL> '<STR_LIT>' : [ '<STR_LIT>' , '<STR_LIT>' ] , <EOL> '<STR_LIT>' : [ ] } <EOL> for key in kwargs : <EOL> if key not in allowedkwargs [ allowedtypes [ mode ] ] : <EOL> raise ValueError ( '<STR_LIT>' % <EOL> ( key , allowedkwargs [ allowedtypes [ mode ] ] ) ) <EOL> for kw in allowedkwargs [ allowedtypes [ mode ] ] : <EOL> kwargs . setdefault ( kw , kwdefaults [ kw ] ) <EOL> if mode == '<STR_LIT>' : <EOL> noise = np . random . normal ( kwargs [ '<STR_LIT>' ] , kwargs [ '<STR_LIT>' ] ** <NUM_LIT:0.5> , <EOL> image . shape ) <EOL> out = image + noise <EOL> elif mode == '<STR_LIT>' : <EOL> if ( kwargs [ '<STR_LIT>' ] <= <NUM_LIT:0> ) . any ( ) : <EOL> raise ValueError ( '<STR_LIT>' ) <EOL> out = image + np . random . normal ( <NUM_LIT:0> , kwargs [ '<STR_LIT>' ] ** <NUM_LIT:0.5> ) <EOL> elif mode == '<STR_LIT>' : <EOL> vals = len ( np . unique ( image ) ) <EOL> vals = <NUM_LIT:2> ** np . ceil ( np . log2 ( vals ) ) <EOL> if low_clip == - <NUM_LIT:1.> : <EOL> old_max = image . max ( ) <EOL> image = ( image + <NUM_LIT:1.> ) / ( old_max + <NUM_LIT:1.> ) <EOL> out = np . random . poisson ( image * vals ) / float ( vals ) <EOL> if low_clip == - <NUM_LIT:1.> : <EOL> out = out * ( old_max + <NUM_LIT:1.> ) - <NUM_LIT:1.> <EOL> elif mode == '<STR_LIT>' : <EOL> out = random_noise ( image , mode = '<STR_LIT>' , seed = seed , <EOL> amount = kwargs [ '<STR_LIT>' ] , salt_vs_pepper = <NUM_LIT:1.> ) <EOL> elif mode == '<STR_LIT>' : <EOL> out = random_noise ( image , mode = '<STR_LIT>' , seed = seed , <EOL> amount = kwargs [ '<STR_LIT>' ] , salt_vs_pepper = <NUM_LIT:0.> ) <EOL> elif mode == '<STR_LIT>' : <EOL> out = image . copy ( ) <EOL> num_salt = np . ceil ( <EOL> kwargs [ '<STR_LIT>' ] * image . size * kwargs [ '<STR_LIT>' ] ) <EOL> coords = [ np . random . randint ( <NUM_LIT:0> , i - <NUM_LIT:1> , int ( num_salt ) ) <EOL> for i in image . shape ] <EOL> out [ coords ] = <NUM_LIT:1> <EOL> num_pepper = np . ceil ( <EOL> kwargs [ '<STR_LIT>' ] * image . size * ( <NUM_LIT:1.> - kwargs [ '<STR_LIT>' ] ) ) <EOL> coords = [ np . random . randint ( <NUM_LIT:0> , i - <NUM_LIT:1> , int ( num_pepper ) ) <EOL> for i in image . shape ] <EOL> out [ coords ] = low_clip <EOL> elif mode == '<STR_LIT>' : <EOL> noise = np . random . normal ( kwargs [ '<STR_LIT>' ] , kwargs [ '<STR_LIT>' ] ** <NUM_LIT:0.5> , <EOL> image . shape ) <EOL> out = image + image * noise <EOL> if clip : <EOL> out = np . clip ( out , low_clip , <NUM_LIT:1.0> ) <EOL> return out </s>
