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Class Profile

tools/python-3.11.9-amd64/Lib/profile.py:103–549  ·  view source on GitHub ↗

Profiler class. self.cur is always a tuple. Each such tuple corresponds to a stack frame that is currently active (self.cur[-2]). The following are the definitions of its members. We use this external "parallel stack" to avoid contaminating the program that we are profiling.

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101
102
103class Profile:
104 """Profiler class.
105
106 self.cur is always a tuple. Each such tuple corresponds to a stack
107 frame that is currently active (self.cur[-2]). The following are the
108 definitions of its members. We use this external "parallel stack" to
109 avoid contaminating the program that we are profiling. (old profiler
110 used to write into the frames local dictionary!!) Derived classes
111 can change the definition of some entries, as long as they leave
112 [-2:] intact (frame and previous tuple). In case an internal error is
113 detected, the -3 element is used as the function name.
114
115 [ 0] = Time that needs to be charged to the parent frame's function.
116 It is used so that a function call will not have to access the
117 timing data for the parent frame.
118 [ 1] = Total time spent in this frame's function, excluding time in
119 subfunctions (this latter is tallied in cur[2]).
120 [ 2] = Total time spent in subfunctions, excluding time executing the
121 frame's function (this latter is tallied in cur[1]).
122 [-3] = Name of the function that corresponds to this frame.
123 [-2] = Actual frame that we correspond to (used to sync exception handling).
124 [-1] = Our parent 6-tuple (corresponds to frame.f_back).
125
126 Timing data for each function is stored as a 5-tuple in the dictionary
127 self.timings[]. The index is always the name stored in self.cur[-3].
128 The following are the definitions of the members:
129
130 [0] = The number of times this function was called, not counting direct
131 or indirect recursion,
132 [1] = Number of times this function appears on the stack, minus one
133 [2] = Total time spent internal to this function
134 [3] = Cumulative time that this function was present on the stack. In
135 non-recursive functions, this is the total execution time from start
136 to finish of each invocation of a function, including time spent in
137 all subfunctions.
138 [4] = A dictionary indicating for each function name, the number of times
139 it was called by us.
140 """
141
142 bias = 0 # calibration constant
143
144 def __init__(self, timer=None, bias=None):
145 self.timings = {}
146 self.cur = None
147 self.cmd = ""
148 self.c_func_name = ""
149
150 if bias is None:
151 bias = self.bias
152 self.bias = bias # Materialize in local dict for lookup speed.
153
154 if not timer:
155 self.timer = self.get_time = time.process_time
156 self.dispatcher = self.trace_dispatch_i
157 else:
158 self.timer = timer
159 t = self.timer() # test out timer function
160 try:

Callers 1

_calibrate_innerMethod · 0.70

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