# Ticket #1479: random-range.t

File random-range.t, 10.9 KB (added by Austin_Hastings, 4 years ago)

Proposed random-range.t test for t/dynoplibs

Line
1#! parrot
2# Copyright (C) 2010, Parrot Foundation.
3# \$Id:  \$
4
6
7t/dynoplibs/random-range.t - Tests random range behavior of math_ops lib.
8
10
11        % prove t/dynoblibs/random-range.t
12
14
15Tests random range using chi-square
16
17=cut
18
21        .param pmc table
22        .param int nu
23        .param num p_10
24        .param num p_05
25        .param num p_025
26        .param num p_01
27        .param num p_001
28
29        \$P0 = new ['FixedFloatArray']
30        \$P0 = 5
31
32        \$P0[0] = p_10
33        \$P0[1] = p_05
34        \$P0[2] = p_025
35        \$P0[3] = p_01
36        \$P0[4] = p_001
37
38        table[nu] = \$P0
39.end
40
41.sub compute_chi_square
42        .param pmc histogram
43        .param int num_samples
44
45        .local int possible_values
46        possible_values = elements histogram
47
48        .local num expected
49        expected = num_samples
50        expected /= possible_values
51
52        .local num K
53        K = 0.0
54
55        \$I0 = possible_values
56        if \$I0 == 0 goto end
57chi2_loop:
58        dec \$I0
59
60        # Compute:  (O - E)^2 / E
61        \$N0 = histogram[\$I0]
62        \$N0 -= expected
63        \$N0 *= \$N0
64        \$N0 /= expected
65
66        K += \$N0
67
68        unless \$I0 == 0 goto chi2_loop
69
70        #~ print "Chi-squared K is: "
71        #~ say K
72end:
73        .return (K)
74.end
75
76.sub make_chi2_table
77        # This info comes from http://itl.nist.gov/div898/handbook/eda/section3/eda3674.htm
78        # Obtained 26 Feb 2010 -- Austin
79
80        #       Probability of exceeding the critical value
81        # nu    0.10    0.05    0.025   0.01    0.001
82
83        .local pmc table
84        table = new ['ResizablePMCArray']
85
86        add_chi2_entry(table, 1, 2.706, 3.841, 5.024, 6.635, 10.828)
87        add_chi2_entry(table, 2, 4.605, 5.991, 7.378, 9.210, 13.816)
88        add_chi2_entry(table, 3, 6.251, 7.815, 9.348, 11.345, 16.266)
89        add_chi2_entry(table, 4, 7.779, 9.488, 11.143, 13.277, 18.467)
90        add_chi2_entry(table, 5, 9.236, 11.070, 12.833, 15.086, 20.515)
91        add_chi2_entry(table, 6, 10.645, 12.592, 14.449, 16.812, 22.458)
92        add_chi2_entry(table, 7, 12.017, 14.067, 16.013, 18.475, 24.322)
93        add_chi2_entry(table, 8, 13.362, 15.507, 17.535, 20.090, 26.125)
94        add_chi2_entry(table, 9, 14.684, 16.919, 19.023, 21.666, 27.877)
95        add_chi2_entry(table, 10, 15.987, 18.307, 20.483, 23.209, 29.588)
96        add_chi2_entry(table, 11, 17.275, 19.675, 21.920, 24.725, 31.264)
97        add_chi2_entry(table, 12, 18.549, 21.026, 23.337, 26.217, 32.910)
98        add_chi2_entry(table, 13, 19.812, 22.362, 24.736, 27.688, 34.528)
99        add_chi2_entry(table, 14, 21.064, 23.685, 26.119, 29.141, 36.123)
100        add_chi2_entry(table, 15, 22.307, 24.996, 27.488, 30.578, 37.697)
101        add_chi2_entry(table, 16, 23.542, 26.296, 28.845, 32.000, 39.252)
102        add_chi2_entry(table, 17, 24.769, 27.587, 30.191, 33.409, 40.790)
103        add_chi2_entry(table, 18, 25.989, 28.869, 31.526, 34.805, 42.312)
104        add_chi2_entry(table, 19, 27.204, 30.144, 32.852, 36.191, 43.820)
105        add_chi2_entry(table, 20, 28.412, 31.410, 34.170, 37.566, 45.315)
106        add_chi2_entry(table, 21, 29.615, 32.671, 35.479, 38.932, 46.797)
107        add_chi2_entry(table, 22, 30.813, 33.924, 36.781, 40.289, 48.268)
108        add_chi2_entry(table, 23, 32.007, 35.172, 38.076, 41.638, 49.728)
109        add_chi2_entry(table, 24, 33.196, 36.415, 39.364, 42.980, 51.179)
110        add_chi2_entry(table, 25, 34.382, 37.652, 40.646, 44.314, 52.620)
111        add_chi2_entry(table, 26, 35.563, 38.885, 41.923, 45.642, 54.052)
112        add_chi2_entry(table, 27, 36.741, 40.113, 43.195, 46.963, 55.476)
113        add_chi2_entry(table, 28, 37.916, 41.337, 44.461, 48.278, 56.892)
114        add_chi2_entry(table, 29, 39.087, 42.557, 45.722, 49.588, 58.301)
115        add_chi2_entry(table, 30, 40.256, 43.773, 46.979, 50.892, 59.703)
116        add_chi2_entry(table, 31, 41.422, 44.985, 48.232, 52.191, 61.098)
117        add_chi2_entry(table, 32, 42.585, 46.194, 49.480, 53.486, 62.487)
118        add_chi2_entry(table, 33, 43.745, 47.400, 50.725, 54.776, 63.870)
119        add_chi2_entry(table, 34, 44.903, 48.602, 51.966, 56.061, 65.247)
120        add_chi2_entry(table, 35, 46.059, 49.802, 53.203, 57.342, 66.619)
121        add_chi2_entry(table, 36, 47.212, 50.998, 54.437, 58.619, 67.985)
122        add_chi2_entry(table, 37, 48.363, 52.192, 55.668, 59.893, 69.347)
123        add_chi2_entry(table, 38, 49.513, 53.384, 56.896, 61.162, 70.703)
124        add_chi2_entry(table, 39, 50.660, 54.572, 58.120, 62.428, 72.055)
125        add_chi2_entry(table, 40, 51.805, 55.758, 59.342, 63.691, 73.402)
126        add_chi2_entry(table, 41, 52.949, 56.942, 60.561, 64.950, 74.745)
127        add_chi2_entry(table, 42, 54.090, 58.124, 61.777, 66.206, 76.084)
128        add_chi2_entry(table, 43, 55.230, 59.304, 62.990, 67.459, 77.419)
129        add_chi2_entry(table, 44, 56.369, 60.481, 64.201, 68.710, 78.750)
130        add_chi2_entry(table, 45, 57.505, 61.656, 65.410, 69.957, 80.077)
131        add_chi2_entry(table, 46, 58.641, 62.830, 66.617, 71.201, 81.400)
132        add_chi2_entry(table, 47, 59.774, 64.001, 67.821, 72.443, 82.720)
133        add_chi2_entry(table, 48, 60.907, 65.171, 69.023, 73.683, 84.037)
134        add_chi2_entry(table, 49, 62.038, 66.339, 70.222, 74.919, 85.351)
135        add_chi2_entry(table, 50, 63.167, 67.505, 71.420, 76.154, 86.661)
136        add_chi2_entry(table, 51, 64.295, 68.669, 72.616, 77.386, 87.968)
137        add_chi2_entry(table, 52, 65.422, 69.832, 73.810, 78.616, 89.272)
138        add_chi2_entry(table, 53, 66.548, 70.993, 75.002, 79.843, 90.573)
139        add_chi2_entry(table, 54, 67.673, 72.153, 76.192, 81.069, 91.872)
140        add_chi2_entry(table, 55, 68.796, 73.311, 77.380, 82.292, 93.168)
141        add_chi2_entry(table, 56, 69.919, 74.468, 78.567, 83.513, 94.461)
142        add_chi2_entry(table, 57, 71.040, 75.624, 79.752, 84.733, 95.751)
143        add_chi2_entry(table, 58, 72.160, 76.778, 80.936, 85.950, 97.039)
144        add_chi2_entry(table, 59, 73.279, 77.931, 82.117, 87.166, 98.324)
145        add_chi2_entry(table, 60, 74.397, 79.082, 83.298, 88.379, 99.607)
146        add_chi2_entry(table, 61, 75.514, 80.232, 84.476, 89.591, 100.888)
147        add_chi2_entry(table, 62, 76.630, 81.381, 85.654, 90.802, 102.166)
148        add_chi2_entry(table, 63, 77.745, 82.529, 86.830, 92.010, 103.442)
149        add_chi2_entry(table, 64, 78.860, 83.675, 88.004, 93.217, 104.716)
150        add_chi2_entry(table, 65, 79.973, 84.821, 89.177, 94.422, 105.988)
151        add_chi2_entry(table, 66, 81.085, 85.965, 90.349, 95.626, 107.258)
152        add_chi2_entry(table, 67, 82.197, 87.108, 91.519, 96.828, 108.526)
153        add_chi2_entry(table, 68, 83.308, 88.250, 92.689, 98.028, 109.791)
154        add_chi2_entry(table, 69, 84.418, 89.391, 93.856, 99.228, 111.055)
155        add_chi2_entry(table, 70, 85.527, 90.531, 95.023, 100.425, 112.317)
156        add_chi2_entry(table, 71, 86.635, 91.670, 96.189, 101.621, 113.577)
157        add_chi2_entry(table, 72, 87.743, 92.808, 97.353, 102.816, 114.835)
158        add_chi2_entry(table, 73, 88.850, 93.945, 98.516, 104.010, 116.092)
159        add_chi2_entry(table, 74, 89.956, 95.081, 99.678, 105.202, 117.346)
160        add_chi2_entry(table, 75, 91.061, 96.217, 100.839, 106.393, 118.599)
161        add_chi2_entry(table, 76, 92.166, 97.351, 101.999, 107.583, 119.850)
162        add_chi2_entry(table, 77, 93.270, 98.484, 103.158, 108.771, 121.100)
163        add_chi2_entry(table, 78, 94.374, 99.617, 104.316, 109.958, 122.348)
164        add_chi2_entry(table, 79, 95.476, 100.749, 105.473, 111.144, 123.594)
165        add_chi2_entry(table, 80, 96.578, 101.879, 106.629, 112.329, 124.839)
166        add_chi2_entry(table, 81, 97.680, 103.010, 107.783, 113.512, 126.083)
167        add_chi2_entry(table, 82, 98.780, 104.139, 108.937, 114.695, 127.324)
168        add_chi2_entry(table, 83, 99.880, 105.267, 110.090, 115.876, 128.565)
169        add_chi2_entry(table, 84, 100.980, 106.395, 111.242, 117.057, 129.804)
170        add_chi2_entry(table, 85, 102.079, 107.522, 112.393, 118.236, 131.041)
171        add_chi2_entry(table, 86, 103.177, 108.648, 113.544, 119.414, 132.277)
172        add_chi2_entry(table, 87, 104.275, 109.773, 114.693, 120.591, 133.512)
173        add_chi2_entry(table, 88, 105.372, 110.898, 115.841, 121.767, 134.746)
174        add_chi2_entry(table, 89, 106.469, 112.022, 116.989, 122.942, 135.978)
175        add_chi2_entry(table, 90, 107.565, 113.145, 118.136, 124.116, 137.208)
176        add_chi2_entry(table, 91, 108.661, 114.268, 119.282, 125.289, 138.438)
177        add_chi2_entry(table, 92, 109.756, 115.390, 120.427, 126.462, 139.666)
178        add_chi2_entry(table, 93, 110.850, 116.511, 121.571, 127.633, 140.893)
179        add_chi2_entry(table, 94, 111.944, 117.632, 122.715, 128.803, 142.119)
180        add_chi2_entry(table, 95, 113.038, 118.752, 123.858, 129.973, 143.344)
181        add_chi2_entry(table, 96, 114.131, 119.871, 125.000, 131.141, 144.567)
182        add_chi2_entry(table, 97, 115.223, 120.990, 126.141, 132.309, 145.789)
183        add_chi2_entry(table, 98, 116.315, 122.108, 127.282, 133.476, 147.010)
184        add_chi2_entry(table, 99, 117.407, 123.225, 128.422, 134.642, 148.230)
185        add_chi2_entry(table, 100, 118.498, 124.342, 129.561, 135.807, 149.449)
186
187        .return (table)
188.end
189
190.sub make_random_hist
191        .param int min
192        .param int max
193        .param int num_samples
194
195        if max > min goto get_pv
196        die "Max must be > min"
197
198get_pv:
199        .local int possible_values
200        possible_values = max - min
201        inc possible_values
202
203        .local pmc histogram
204        histogram = new ['FixedIntegerArray']
205        histogram = possible_values
206
207        \$I0 = max - min
208init:
209        histogram[\$I0] = 0
210        dec \$I0
211        unless \$I0 < 0 goto init
212
213        \$I0 = num_samples
214        if \$I0 == 0 goto loop_done
215loop:
216        .local int random
217        random = rand min, max
218
219        random -= min
220        \$I1 = histogram[random]
221        inc \$I1
222        histogram[random] = \$I1
223
224        dec \$I0
225        unless \$I0 <= 0 goto loop
226loop_done:
227
228        .return (histogram)
229.end
230
231.sub print_histogram
232        .param pmc histogram
233        .param int num_samples
234
235        .local num expected
236        expected = num_samples
237        \$I0 = elements histogram
238        expected /= \$I0
239
240        .local pmc sprintf_args
241        sprintf_args = new ['FixedPMCArray']
242        sprintf_args = 2
243
244        \$I0 = elements histogram
245hist_loop:
246        dec \$I0
247
248        \$N0 = histogram[\$I0]
249        \$N0 /= expected
250        \$P0 = box \$N0
251        sprintf_args[0] = \$P0
252
253        \$N1 = \$N0 * 40
254        \$I1 = \$N1
255        \$I1 -= 6        # width of printed \$N0, plus space
256        if \$I1 > 0 goto make_stars
257        \$I1 = 0
258make_stars:
259
260        \$S0 = repeat '*', \$I1
261        \$P0 = box \$S0
262        sprintf_args[1] = \$P0
263
264        \$S0 = sprintf "%5.3f %s", sprintf_args
265        say \$S0
266
267        unless \$I0 <= 0 goto hist_loop
268
269end:
270.end
271
272.sub test_histogram
273        .param pmc histogram
274        .param num K
275        .param pmc table
276
277        .local int degrees_of_freedom
278        \$I0 = elements histogram
279        degrees_of_freedom = \$I0 - 1
280
281        .local pmc sprintf_args
282        sprintf_args = new ['ResizablePMCArray']
283        \$P0 = box degrees_of_freedom
284        push sprintf_args, \$P0
285
286        \$I0 = exists table[degrees_of_freedom]
287        if \$I0 goto get_data
288
289        \$S0 = sprintf "Don't have chi2 data for %d degrees of freedom", sprintf_args
290        skip(1, \$S0)
291        goto end
292
293get_data:
294
295        .local pmc chi2_data
296        chi2_data = table[degrees_of_freedom]
297        \$N0 = chi2_data[0]
298
299        \$I0 = islt K, \$N0
300
301        \$P0 = box \$N0
302        unshift sprintf_args, \$P0
303        \$P0= box K
304        unshift sprintf_args, \$P0
305
306        \$S0 = sprintf "K (%5.3f) should be less than limit (%5.3f) for %d degrees of freedom", sprintf_args
307        ok(\$I0, \$S0)
308
309end:
310        .return (\$I0)
311.end
312
313.sub test_random_range
314        .param int range
315        .param int times
316        .param pmc table
317
318        .local int num_samples
319        num_samples = range * times
320
321        .local int min, max
322        min = 10
323        max = min + range
324
325        .local pmc histogram
326        histogram = make_random_hist(min, max, num_samples)
327
328        .local num K
329        K = compute_chi_square(histogram, num_samples)
330
331        \$I0 = test_histogram(histogram, K, table)
332
333        #if \$I0 goto end
334        #print_histogram(histogram, num_samples)
335end:
336.end
337
338.sub main :main
339        .include 'test_more.pir'
340
341        .const int TIMES = 10000
342
343        .local int num_tries
344        num_tries = 101
345
346        plan(num_tries)
347
348        \$S0 = "Running tests expecting #TIMES# hits per bucket"
349        \$P0 = split '#', \$S0
350        \$S0 = TIMES
351        \$P0[1] = \$S0
352        \$S0 = join '', \$P0
353        diag(\$S0)
354
355        .local pmc table
356        table = make_chi2_table()
357
358        \$I0 = 0
359loop:
360        inc \$I0
361        test_random_range(\$I0, TIMES, table)
362        if \$I0 < num_tries goto loop
363
364.end
365