Mercurial > ift6266

annotate transformations/testmod.py @ 33:6d432a5010a2

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Modified font generator script : module creation. Not fully compliant with testmod.py though (transformation != generation)
author Guillaume Sicard <guitch21@gmail.com>
date Mon, 01 Feb 2010 22:55:19 -0500
parents 368f1907ad5a
children 22823acc1712 089f236759d9
rev   line source
16
368f1907ad5a Script to test modules for conformance to the interface.
Arnaud Bergeron <abergeron@gmail.com>
parents:
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1 # This script is to test your modules to see if they conform to the module API
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2 # defined on the wiki.
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3 import random, numpy, gc, time, math
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4
368f1907ad5a Script to test modules for conformance to the interface.
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5 # this is an example module that does stupid image value shifting
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6
368f1907ad5a Script to test modules for conformance to the interface.
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7 class DummyModule(object):
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8 def get_settings_names(self):
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9 return ['value']
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10
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11 def regenerate_parameters(self, complexity):
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12 self._value = random.gauss(0, 0.5*complexity)
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13 return [self._value]
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14
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15 def transform_image(self, image):
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16 return numpy.clip(image+self._value, 0, 1)
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17
368f1907ad5a Script to test modules for conformance to the interface.
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18 #import <your module>
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19
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20 # instanciate your class here (rather than DummyModule)
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21 mod = DummyModule()
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22
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23 def error(msg):
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24 print "ERROR:", msg
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25 sys.exit(1)
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26
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27 def warn(msg):
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28 print "WARNING:", msg
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29
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30 def timeit(f, lbl):
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31
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32 gc.disable()
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33 t = time.time()
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34 f()
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35 est = time.time() - t
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36 gc.enable()
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37
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38 loops = max(1, int(10**math.floor(math.log(10/est, 10))))
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39
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40 gc.disable()
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41 t = time.time()
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42 for _ in xrange(loops):
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43 f()
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44
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45 print lbl, "(", loops, "loops ):", (time.time() - t)/loops, "s"
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46 gc.enable()
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47
368f1907ad5a Script to test modules for conformance to the interface.
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48 ########################
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49 # get_settings_names() #
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50 ########################
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51
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52 print "Testing get_settings_names()"
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53
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54 names = mod.get_settings_names()
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55
368f1907ad5a Script to test modules for conformance to the interface.
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56 if type(names) is not list:
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57 error("Must return a list")
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58
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59 if len(names) == 0:
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60 error("Must return at least one element")
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61
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62 if not all(type(e) is str for e in names):
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63 warn("The elements of the list should be strings")
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64
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65 ###########################
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66 # regenerate_parameters() #
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67 ###########################
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68
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69 print "Testing regenerate_parameters()"
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70
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71 params = mod.regenerate_parameters(0.2)
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72
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73 if type(params) is not list:
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74 error("Must return a list")
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75
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76 if len(params) != len(names):
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77 error("the returned parameter list must have the same length as the number of parameters")
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78
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79 params2 = mod.regenerate_parameters(0.2)
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80 if params == params2:
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81 error("the complexity parameter determines the distribution of the parameters, not their value")
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82
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83 mod.regenerate_parameters(0.0)
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84 mod.regenerate_parameters(1.0)
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85
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86 mod.regenerate_parameters(0.5)
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87
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88 #####################
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89 # transform_image() #
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90 #####################
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91
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92 print "Testing transform_image()"
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93
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94 imgr = numpy.random.random_sample((32, 32)).astype(numpy.float32)
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95 img1 = numpy.ones((32, 32), dtype=numpy.float32)
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96 img0 = numpy.zeros((32, 32), dtype=numpy.float32)
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97
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98 resr = mod.transform_image(imgr)
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99
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100 if type(resr) is not numpy.ndarray:
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101 error("Must return an ndarray")
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102
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103 if resr.shape != (32, 32):
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104 error("Must return 32x32 array")
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105
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106 if resr.dtype != numpy.float32:
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107 error("Must return float32 array")
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108
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109 res1 = mod.transform_image(img1)
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110 res0 = mod.transform_image(img0)
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111
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112 if res1.max() > 1.0 or res0.max() > 1.0:
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113 error("Must keep array values between 0 and 1")
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114
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115 if res1.min() < 0.0 or res0.min() < 0.0:
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116 error("Must keep array values between 0 and 1")
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117
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118 mod.regenerate_parameters(0.0)
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119 mod.transform_image(imgr)
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120 mod.regenerate_parameters(1.0)
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121 mod.transform_image(imgr)
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122
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123 print "Bonus Stage: timings"
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124
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125 timeit(lambda: None, "empty")
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126 timeit(lambda: mod.regenerate_parameters(0.5), "regenerate_parameters()")
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127 timeit(lambda: mod.transform_image(imgr), "tranform_image()")
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128
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129 def f():
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130 mod.regenerate_parameters(0.2)
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131 mod.transform_image(imgr)
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132
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133 timeit(f, "regen and transform")