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Top Forums Shell Programming and Scripting Problem using function in awk Post 302451090 by kristinu on Sunday 5th of September 2010 04:33:41 PM
Old 09-05-2010
Yes, I think you are right. Can only return one value. But it does not matter in my case. Since they are both random numbers I can just use one of them.

---------- Post updated at 03:33 PM ---------- Previous update was at 02:47 PM ----------

I have this awk script, and I output mean and sigma, but the result is not what I assigned to mean and sigma.

Code:
 
 function rgaussian1() {
      a = rand()
      b = rand()
      c = rand()
      r1 = a + b + c
      return r1
  }

  function rgaussian11(mean, sigma) {
      a = rgaussian1()
      b = mean + (a * sigma)
      print "VALUES: ",mean,sigma
      return b
  }

  NF == 2 {
      a = 5
      b = 0.5
      r1 = rgaussian1()
      r2 = rgaussian11(a,b)
      print $0,$2,r1,r2
  }

As you can see below I am not getting the values of mean and sigma that I have passed to the function.



Code:
VALUES:  0.319071 0.692849
10 0  0 1.50904 -0.654771 1.0627 0.833281
VALUES:  0.244565 0.468954
13 5.74484  5.74484 2.47868 1.11852 0.990984 -0.889183
VALUES:  0.787803 0.202516
16 10.1769  10.1769 0.570419 -0.736454 1.48426 1.09622
VALUES:  0.187611 0.611989
19 13.8527  13.8527 1.40469 -0.309851 0.53924 -1.40168
VALUES:  0.669174 0.450629
22 16.8957  16.8957 1.38384 0.0894231 -0.804437 -0.168806
VALUES:  0.523561 0.360272
25 19.3552  19.3552 1.05967 1.17779 2.0299 -0.459928
VALUES:  0.749601 0.872226
28 21.3932  21.3932 1.02497 -0.17011 -1.12271 0.916729
VALUES:  0.39957 0.0115686
31 23.0869  23.0869 0.713036 -0.15845 -0.852606 -0.867672
VALUES:  0.488232 0.786265
34 24.5867  24.5867 1.38646 0.907416 0.215826 -0.207289
VALUES:  0.721516 0.283772
37 25.9775  25.9775 1.2652 0.18478 0.643813 1.46849
VALUES:  0.796942 0.08114
40 27.2779  27.2779 1.07348 2.44546 -0.369929 0.784368
VALUES:  0.32347 0.847031
43 28.5486  28.5486 1.86091 -0.337079 0.683475 0.124624
VALUES:  0.858226 0.607827
46 29.754  29.754 1.81017 0.697858 -0.547066 1.12782
VALUES:  0.096079 0.495649
49 30.9075  30.9075 1.82609 1.88842 -0.843563 0.535018
VALUES:  0.601441 0.696511
52 32.0179  32.0179 1.4897 0.233247 -0.0728211 -1.17591
VALUES:  0.460437 0.181952
55 33.0682  33.0682 0.657609 -0.594157 -0.79817 -0.281863
VALUES:  0.630648 0.42759
58 34.082  34.082 1.48051 0.869132 0.319669 -0.426564
VALUES:  0.446626 0.770096
61 35.0402  35.0402 1.70818 -0.775314 -0.0754717 -0.160226
VALUES:  0.127291 0.985517
64 35.9725  35.9725 1.59898 -1.89246 -0.441951 0.257042
VALUES:  0.970425 0.0665038

 

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MPSImageGaussianBlur(3) 				 MetalPerformanceShaders.framework				   MPSImageGaussianBlur(3)

NAME
MPSImageGaussianBlur SYNOPSIS
#import <MPSImageConvolution.h> Inherits MPSUnaryImageKernel. Instance Methods (nonnull instancetype) - initWithDevice:sigma: (nullable instancetype) - initWithCoder:device: (nonnull instancetype) - initWithDevice: Properties float sigma Additional Inherited Members Detailed Description The MPSImageGaussianBlur convolves an image with gaussian of given sigma in both x and y direction. The MPSImageGaussianBlur utilizes a very fast algorith that typically runs at approximately 1/2 of copy speeds. Notably, it is faster than either the tent or box blur except perhaps for very large filter windows. Mathematically, it is an approximate gaussian. Some non-gaussian behavior may be detectable with advanced analytical methods such as FFT. If a analytically clean gaussian filter is required, please use the MPSImageConvolution filter instead with an appropriate set of weights. The MPSImageGaussianBlur is intended to be suitable for all common image processing needs demanding ~10 bits of precision or less. Method Documentation - (nullable instancetype) initWithCoder: (NSCoder *__nonnull) aDecoder(nonnull id< MTLDevice >) device NSSecureCoding compatability While the standard NSSecureCoding/NSCoding method -initWithCoder: should work, since the file can't know which device your data is allocated on, we have to guess and may guess incorrectly. To avoid that problem, use initWithCoder:device instead. Parameters: aDecoder The NSCoder subclass with your serialized MPSKernel device The MTLDevice on which to make the MPSKernel Returns: A new MPSKernel object, or nil if failure. Reimplemented from MPSUnaryImageKernel. - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device Standard init with default properties per filter type Parameters: device The device that the filter will be used on. May not be NULL. Returns: a pointer to the newly initialized object. This will fail, returning nil if the device is not supported. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later. Reimplemented from MPSUnaryImageKernel. - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(float) sigma Initialize a gaussian blur filter for a particular sigma and device Parameters: device The device the filter will run on sigma The standard deviation of gaussian blur filter. Gaussian weight, centered at 0, at integer grid i is given as w(i) = 1/sqrt(2*pi*sigma) * exp(-i^2/2*sigma^2) If we take cut off at 1% of w(0) (max weight) beyond which weights are considered 0, we have ceil (sqrt(-log(0.01)*2)*sigma) ~ ceil(3.7*sigma) as rough estimate of filter width Returns: A valid object or nil, if failure. Property Documentation - sigma [read], [nonatomic], [assign] Read-only sigma value with which filter was created Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSImageGaussianBlur(3)
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