[a10364b] | 1 | |
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[9a5097c] | 2 | import math |
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[4fb10e5] | 3 | import os |
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[8ffafd1] | 4 | import unittest |
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[e123eb9] | 5 | from scipy.stats import binned_statistic_2d |
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[9a5097c] | 6 | import numpy as np |
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[fa4af76] | 7 | |
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[b699768] | 8 | import sas.sascalc.dataloader.data_info as data_info |
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[8ffafd1] | 9 | from sas.sascalc.dataloader.loader import Loader |
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[fa4af76] | 10 | from sas.sascalc.dataloader.manipulations import (Boxavg, Boxsum, |
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| 11 | CircularAverage, Ring, |
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| 12 | SectorPhi, SectorQ, SlabX, |
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| 13 | SlabY, get_q, |
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| 14 | reader2D_converter) |
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[8ffafd1] | 15 | |
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[a10364b] | 16 | |
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| 17 | class Averaging(unittest.TestCase): |
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| 18 | """ |
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| 19 | Test averaging manipulations on a flat distribution |
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| 20 | """ |
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[fa4af76] | 21 | |
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[a10364b] | 22 | def setUp(self): |
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| 23 | """ |
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| 24 | Create a flat 2D distribution. All averaging results |
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| 25 | should return the predefined height of the distribution (1.0). |
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| 26 | """ |
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[fa4af76] | 27 | x_0 = np.ones([100, 100]) |
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| 28 | dx_0 = np.ones([100, 100]) |
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[8ffafd1] | 29 | |
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[a10364b] | 30 | self.data = data_info.Data2D(data=x_0, err_data=dx_0) |
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| 31 | detector = data_info.Detector() |
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[8ffafd1] | 32 | detector.distance = 1000.0 # mm |
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[fa4af76] | 33 | detector.pixel_size.x = 1.0 # mm |
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| 34 | detector.pixel_size.y = 1.0 # mm |
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[8ffafd1] | 35 | |
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[a10364b] | 36 | # center in pixel position = (len(x_0)-1)/2 |
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[fa4af76] | 37 | detector.beam_center.x = (len(x_0) - 1) / 2 # pixel number |
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| 38 | detector.beam_center.y = (len(x_0) - 1) / 2 # pixel number |
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[a10364b] | 39 | self.data.detector.append(detector) |
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[fa4af76] | 40 | |
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[a10364b] | 41 | source = data_info.Source() |
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[fa4af76] | 42 | source.wavelength = 10.0 # A |
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[a10364b] | 43 | self.data.source = source |
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| 44 | |
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[fa4af76] | 45 | # get_q(dx, dy, det_dist, wavelength) where units are mm,mm,mm,and A |
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| 46 | # respectively. |
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[8ffafd1] | 47 | self.qmin = get_q(1.0, 1.0, detector.distance, source.wavelength) |
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[a10364b] | 48 | self.qmax = get_q(49.5, 49.5, detector.distance, source.wavelength) |
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[8ffafd1] | 49 | |
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[a10364b] | 50 | self.qstep = len(x_0) |
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[fa4af76] | 51 | x = np.linspace(start=-1 * self.qmax, |
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| 52 | stop=self.qmax, |
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| 53 | num=self.qstep, |
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| 54 | endpoint=True) |
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| 55 | y = np.linspace(start=-1 * self.qmax, |
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| 56 | stop=self.qmax, |
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| 57 | num=self.qstep, |
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| 58 | endpoint=True) |
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| 59 | self.data.x_bins = x |
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| 60 | self.data.y_bins = y |
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[a10364b] | 61 | self.data = reader2D_converter(self.data) |
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[8ffafd1] | 62 | |
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[a10364b] | 63 | def test_ring_flat_distribution(self): |
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| 64 | """ |
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| 65 | Test ring averaging |
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| 66 | """ |
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[fa4af76] | 67 | r = Ring(r_min=2 * self.qmin, r_max=5 * self.qmin, |
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| 68 | center_x=self.data.detector[0].beam_center.x, |
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[a10364b] | 69 | center_y=self.data.detector[0].beam_center.y) |
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| 70 | r.nbins_phi = 20 |
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[8ffafd1] | 71 | |
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[a10364b] | 72 | o = r(self.data) |
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| 73 | for i in range(20): |
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| 74 | self.assertEqual(o.y[i], 1.0) |
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[8ffafd1] | 75 | |
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[a10364b] | 76 | def test_sectorphi_full(self): |
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| 77 | """ |
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| 78 | Test sector averaging |
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| 79 | """ |
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[fa4af76] | 80 | r = SectorPhi(r_min=self.qmin, r_max=3 * self.qmin, |
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| 81 | phi_min=0, phi_max=math.pi * 2.0) |
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[a10364b] | 82 | r.nbins_phi = 20 |
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| 83 | o = r(self.data) |
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| 84 | for i in range(7): |
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| 85 | self.assertEqual(o.y[i], 1.0) |
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[8ffafd1] | 86 | |
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[a10364b] | 87 | def test_sectorphi_partial(self): |
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| 88 | """ |
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| 89 | """ |
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| 90 | phi_max = math.pi * 1.5 |
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[fa4af76] | 91 | r = SectorPhi(r_min=self.qmin, r_max=3 * self.qmin, |
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[a10364b] | 92 | phi_min=0, phi_max=phi_max) |
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| 93 | self.assertEqual(r.phi_max, phi_max) |
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| 94 | r.nbins_phi = 20 |
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| 95 | o = r(self.data) |
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| 96 | self.assertEqual(r.phi_max, phi_max) |
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| 97 | for i in range(17): |
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| 98 | self.assertEqual(o.y[i], 1.0) |
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| 99 | |
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[8ffafd1] | 100 | |
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| 101 | class DataInfoTests(unittest.TestCase): |
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| 102 | |
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[a10364b] | 103 | def setUp(self): |
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[fa4af76] | 104 | filepath = os.path.join(os.path.dirname( |
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[2a52b0e] | 105 | os.path.realpath(__file__)), 'MAR07232_rest.h5') |
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| 106 | self.data = Loader().load(filepath)[0] |
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[8ffafd1] | 107 | |
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[a10364b] | 108 | def test_ring(self): |
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| 109 | """ |
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| 110 | Test ring averaging |
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| 111 | """ |
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[fa4af76] | 112 | r = Ring(r_min=.005, r_max=.01, |
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| 113 | center_x=self.data.detector[0].beam_center.x, |
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[a10364b] | 114 | center_y=self.data.detector[0].beam_center.y, |
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[fa4af76] | 115 | nbins=20) |
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[a10364b] | 116 | ##r.nbins_phi = 20 |
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[8ffafd1] | 117 | |
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[a10364b] | 118 | o = r(self.data) |
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[fa4af76] | 119 | filepath = os.path.join(os.path.dirname( |
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| 120 | os.path.realpath(__file__)), 'ring_testdata.txt') |
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[2a52b0e] | 121 | answer = Loader().load(filepath)[0] |
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[8ffafd1] | 122 | |
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[a10364b] | 123 | for i in range(r.nbins_phi - 1): |
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| 124 | self.assertAlmostEqual(o.x[i + 1], answer.x[i], 4) |
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| 125 | self.assertAlmostEqual(o.y[i + 1], answer.y[i], 4) |
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| 126 | self.assertAlmostEqual(o.dy[i + 1], answer.dy[i], 4) |
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[8ffafd1] | 127 | |
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[a10364b] | 128 | def test_circularavg(self): |
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| 129 | """ |
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[fa4af76] | 130 | Test circular averaging |
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| 131 | The test data was not generated by IGOR. |
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[a10364b] | 132 | """ |
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[fa4af76] | 133 | r = CircularAverage(r_min=.00, r_max=.025, |
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| 134 | bin_width=0.0003) |
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[a10364b] | 135 | r.nbins_phi = 20 |
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[fa4af76] | 136 | |
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[a10364b] | 137 | o = r(self.data) |
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| 138 | |
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[fa4af76] | 139 | filepath = os.path.join(os.path.dirname( |
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| 140 | os.path.realpath(__file__)), 'avg_testdata.txt') |
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[2a52b0e] | 141 | answer = Loader().load(filepath)[0] |
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[a10364b] | 142 | for i in range(r.nbins_phi): |
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| 143 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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| 144 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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| 145 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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[8ffafd1] | 146 | |
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[a10364b] | 147 | def test_box(self): |
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| 148 | """ |
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| 149 | Test circular averaging |
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| 150 | The test data was not generated by IGOR. |
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| 151 | """ |
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[fa4af76] | 152 | |
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[a10364b] | 153 | r = Boxsum(x_min=.01, x_max=.015, y_min=0.01, y_max=0.015) |
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| 154 | s, ds, npoints = r(self.data) |
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| 155 | self.assertAlmostEqual(s, 34.278990899999997, 4) |
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| 156 | self.assertAlmostEqual(ds, 7.8007981835194293, 4) |
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[fa4af76] | 157 | self.assertAlmostEqual(npoints, 324.0000, 4) |
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[8ffafd1] | 158 | |
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[a10364b] | 159 | r = Boxavg(x_min=.01, x_max=.015, y_min=0.01, y_max=0.015) |
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| 160 | s, ds = r(self.data) |
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| 161 | self.assertAlmostEqual(s, 0.10579935462962962, 4) |
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| 162 | self.assertAlmostEqual(ds, 0.024076537603455028, 4) |
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[8ffafd1] | 163 | |
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[a10364b] | 164 | def test_slabX(self): |
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| 165 | """ |
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| 166 | Test slab in X |
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| 167 | The test data was not generated by IGOR. |
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| 168 | """ |
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[fa4af76] | 169 | |
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| 170 | r = SlabX(x_min=-.01, x_max=.01, y_min=-0.0002, |
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| 171 | y_max=0.0002, bin_width=0.0004) |
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[a10364b] | 172 | r.fold = False |
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| 173 | o = r(self.data) |
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| 174 | |
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[fa4af76] | 175 | filepath = os.path.join(os.path.dirname( |
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| 176 | os.path.realpath(__file__)), 'slabx_testdata.txt') |
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[2a52b0e] | 177 | answer = Loader().load(filepath)[0] |
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[a10364b] | 178 | for i in range(len(o.x)): |
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| 179 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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| 180 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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| 181 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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[8ffafd1] | 182 | |
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[a10364b] | 183 | def test_slabY(self): |
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| 184 | """ |
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| 185 | Test slab in Y |
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| 186 | The test data was not generated by IGOR. |
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| 187 | """ |
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[fa4af76] | 188 | |
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| 189 | r = SlabY(x_min=.005, x_max=.01, y_min=- |
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| 190 | 0.01, y_max=0.01, bin_width=0.0004) |
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[a10364b] | 191 | r.fold = False |
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| 192 | o = r(self.data) |
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| 193 | |
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[fa4af76] | 194 | filepath = os.path.join(os.path.dirname( |
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| 195 | os.path.realpath(__file__)), 'slaby_testdata.txt') |
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[2a52b0e] | 196 | answer = Loader().load(filepath)[0] |
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[a10364b] | 197 | for i in range(len(o.x)): |
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| 198 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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| 199 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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| 200 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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[8ffafd1] | 201 | |
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[a10364b] | 202 | def test_sectorphi_full(self): |
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| 203 | """ |
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| 204 | Test sector averaging I(phi) |
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[5a8cdbb] | 205 | When considering the whole azimuthal range (2pi), |
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[a10364b] | 206 | the answer should be the same as ring averaging. |
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| 207 | The test data was not generated by IGOR. |
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| 208 | """ |
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[fa4af76] | 209 | |
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[a10364b] | 210 | nbins = 19 |
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| 211 | phi_min = math.pi / (nbins + 1) |
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| 212 | phi_max = math.pi * 2 - phi_min |
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[8ffafd1] | 213 | |
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[a10364b] | 214 | r = SectorPhi(r_min=.005, |
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| 215 | r_max=.01, |
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| 216 | phi_min=phi_min, |
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| 217 | phi_max=phi_max, |
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| 218 | nbins=nbins) |
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| 219 | o = r(self.data) |
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| 220 | |
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[fa4af76] | 221 | filepath = os.path.join(os.path.dirname( |
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| 222 | os.path.realpath(__file__)), 'ring_testdata.txt') |
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[2a52b0e] | 223 | answer = Loader().load(filepath)[0] |
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[a10364b] | 224 | for i in range(len(o.x)): |
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| 225 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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| 226 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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| 227 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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[fa4af76] | 228 | |
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[a10364b] | 229 | def test_sectorphi_quarter(self): |
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| 230 | """ |
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| 231 | Test sector averaging I(phi) |
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| 232 | The test data was not generated by IGOR. |
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| 233 | """ |
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[fa4af76] | 234 | |
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| 235 | r = SectorPhi(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi / 2.0) |
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[a10364b] | 236 | r.nbins_phi = 20 |
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| 237 | o = r(self.data) |
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| 238 | |
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[fa4af76] | 239 | filepath = os.path.join(os.path.dirname( |
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| 240 | os.path.realpath(__file__)), 'sectorphi_testdata.txt') |
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[2a52b0e] | 241 | answer = Loader().load(filepath)[0] |
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[a10364b] | 242 | for i in range(len(o.x)): |
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| 243 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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| 244 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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| 245 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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[fa4af76] | 246 | |
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[a10364b] | 247 | def test_sectorq_full(self): |
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| 248 | """ |
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| 249 | Test sector averaging I(q) |
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| 250 | The test data was not generated by IGOR. |
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| 251 | """ |
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[fa4af76] | 252 | |
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| 253 | r = SectorQ(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi / 2.0) |
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[a10364b] | 254 | r.nbins_phi = 20 |
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| 255 | o = r(self.data) |
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| 256 | |
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[fa4af76] | 257 | filepath = os.path.join(os.path.dirname( |
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| 258 | os.path.realpath(__file__)), 'sectorq_testdata.txt') |
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[2a52b0e] | 259 | answer = Loader().load(filepath)[0] |
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[a10364b] | 260 | for i in range(len(o.x)): |
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| 261 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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| 262 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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| 263 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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[8ffafd1] | 264 | |
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[e123eb9] | 265 | def test_sectorq_log(self): |
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| 266 | """ |
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| 267 | Test sector averaging I(q) |
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| 268 | The test data was not generated by IGOR. |
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| 269 | """ |
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| 270 | |
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| 271 | r = SectorQ(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi / 2.0, base=10) |
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| 272 | r.nbins_phi = 20 |
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| 273 | o = r(self.data) |
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| 274 | |
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| 275 | expected_binning = np.logspace(np.log10(0.005), np.log10(0.01), 20, base=10) |
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| 276 | for i in range(len(o.x)): |
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| 277 | self.assertAlmostEqual(o.x[i], expected_binning[i], 3) |
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[5a8cdbb] | 278 | |
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[e123eb9] | 279 | # TODO: Test for Y values (o.y) |
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| 280 | # print len(self.data.x_bins) |
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| 281 | # print len(self.data.y_bins) |
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| 282 | # print self.data.q_data.shape |
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| 283 | # data_to_bin = np.array(self.data.q_data) |
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| 284 | # data_to_bin = data_to_bin.reshape(len(self.data.x_bins), len(self.data.y_bins)) |
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| 285 | # H, xedges, yedges, binnumber = binned_statistic_2d(self.data.x_bins, self.data.y_bins, data_to_bin, |
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| 286 | # bins=[[0, math.pi / 2.0], expected_binning], statistic='mean') |
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| 287 | # xedges_width = (xedges[1] - xedges[0]) |
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| 288 | # xedges_center = xedges[1:] - xedges_width / 2 |
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[5a8cdbb] | 289 | |
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[e123eb9] | 290 | # yedges_width = (yedges[1] - yedges[0]) |
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| 291 | # yedges_center = yedges[1:] - yedges_width / 2 |
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[5a8cdbb] | 292 | |
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[e123eb9] | 293 | # print H.flatten().shape |
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| 294 | # print o.y.shape |
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[5a8cdbb] | 295 | |
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[a10364b] | 296 | |
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| 297 | if __name__ == '__main__': |
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| 298 | unittest.main() |
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