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55 | <H1><A NAME="SECTION0012700000000000000000"></A><A NAME="profile-calibration"></A> | |
56 | <BR> | |
57 | 10.7 Calibration | |
58 | </H1> | |
59 | ||
60 | <P> | |
61 | The profiler subtracts a constant from each | |
62 | event handling time to compensate for the overhead of calling the time | |
63 | function, and socking away the results. By default, the constant is 0. | |
64 | The following procedure can | |
65 | be used to obtain a better constant for a given platform (see discussion | |
66 | in section Limitations above). | |
67 | ||
68 | <P> | |
69 | <div class="verbatim"><pre> | |
70 | import profile | |
71 | pr = profile.Profile() | |
72 | for i in range(5): | |
73 | print pr.calibrate(10000) | |
74 | </pre></div> | |
75 | ||
76 | <P> | |
77 | The method executes the number of Python calls given by the argument, | |
78 | directly and again under the profiler, measuring the time for both. | |
79 | It then computes the hidden overhead per profiler event, and returns | |
80 | that as a float. For example, on an 800 MHz Pentium running | |
81 | Windows 2000, and using Python's time.clock() as the timer, | |
82 | the magical number is about 12.5e-6. | |
83 | ||
84 | <P> | |
85 | The object of this exercise is to get a fairly consistent result. | |
86 | If your computer is <em>very</em> fast, or your timer function has poor | |
87 | resolution, you might have to pass 100000, or even 1000000, to get | |
88 | consistent results. | |
89 | ||
90 | <P> | |
91 | When you have a consistent answer, | |
92 | there are three ways you can use it:<A NAME="tex2html52" | |
93 | HREF="#foot46353"><SUP>10.3</SUP></A> | |
94 | <P> | |
95 | <div class="verbatim"><pre> | |
96 | import profile | |
97 | ||
98 | # 1. Apply computed bias to all Profile instances created hereafter. | |
99 | profile.Profile.bias = your_computed_bias | |
100 | ||
101 | # 2. Apply computed bias to a specific Profile instance. | |
102 | pr = profile.Profile() | |
103 | pr.bias = your_computed_bias | |
104 | ||
105 | # 3. Specify computed bias in instance constructor. | |
106 | pr = profile.Profile(bias=your_computed_bias) | |
107 | </pre></div> | |
108 | ||
109 | <P> | |
110 | If you have a choice, you are better off choosing a smaller constant, and | |
111 | then your results will ``less often'' show up as negative in profile | |
112 | statistics. | |
113 | ||
114 | <P> | |
115 | <BR><HR><H4>Footnotes</H4> | |
116 | <DL> | |
117 | <DT><A NAME="foot46353">... it:</A><A | |
118 | href="profile-calibration.html#tex2html52"><SUP>10.3</SUP></A></DT> | |
119 | <DD>Prior to Python 2.2, it | |
120 | was necessary to edit the profiler source code to embed the bias as | |
121 | a literal number. You still can, but that method is no longer | |
122 | described, because no longer needed. | |
123 | ||
124 | </DD> | |
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160 | <span class="release-info">Release 2.4.2, documentation updated on 28 September 2005.</span> | |
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