source: sasview/park_integration/testdata_generator.py @ 559cd63

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since 559cd63 was 7705306, checked in by Gervaise Alina <gervyh@…>, 16 years ago

UML diagram modified

  • Property mode set to 100644
File size: 1.9 KB
Line 
1"""
2    Generate two correlated sets of data
3        1- A line: y = ax + b
4        2- A constant equal to a of set #1
5       
6"""
7
8class Generator:
9    ## Parameter A
10    constant_a = 2.5
11    ## Parameter B
12    constant_b = 4.0
13    ## Randomness factor
14    randomness = 0.15
15   
16    def __init__(self):
17        pass
18   
19    def create(self, filename, xmin=0.0, xmax=10.0, npts=50):
20        """
21            Create files with the generate data
22            The file names will be:
23                - Set #1: [filename]_line.txt
24                - Set #2: [filename]_cst.txt
25               
26            @param filename: string to prepend to the file name
27            @param xmin: minimum x-value
28            @param xmax: maximum x-value
29            @param npts: number of points to generate
30        """
31        import random, time
32        random.seed(time.time())
33       
34        # Write line data set
35        fd = open(filename+'_line.txt', 'w')
36        fd.write("#y=A*x+B\n#A=%g\n#B=%g\n" % (self.constant_a, self.constant_b))
37       
38        for i in range(npts):
39            x = xmin+(xmax-xmin)/(npts-1)*i
40            mu = self.constant_a*x+self.constant_b
41            err = self.randomness*mu
42            y = random.gauss(mu, err)
43            fd.write("%g  %g  %g\n" % (x,y,err))
44           
45        fd.close()
46       
47        # Write constant data set
48        fd = open(filename+'_cst.txt', 'w')
49        fd.write("#y=A\n#A=%g\n" % self.constant_a)
50       
51        for i in range(npts):
52            x = xmin+(xmax-xmin)/(npts-1)*i
53            err = self.randomness*self.constant_a
54            y = random.gauss(self.constant_a, err)
55            fd.write("%g  %g  %g\n" % (x,y,err))
56           
57        fd.close()
58       
59       
60
61if __name__ == "__main__": 
62    gen = Generator()
63    gen.create("testdata")
64    print "Files created"
65
66           
67           
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