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This function takes a single argument that can be passed to the
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statistics from the execution. If no file name is present, then this
function automatically prints a simple profiling report, sorted by the
standard name string (file/line/function-name) that is presented in
each line.
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self.cur is always a tuple. Each such tuple corresponds to a stack
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definitions of its members. We use this external "parallel stack" to
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detected, the -3 element is used as the function name.
[ 0] = Time that needs to be charged to the parent frame's function.
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timing data for the parent frame.
[ 1] = Total time spent in this frame's function, excluding time in
subfunctions (this latter is tallied in cur[2]).
[ 2] = Total time spent in subfunctions, excluding time executing the
frame's function (this latter is tallied in cur[1]).
[-3] = Name of the function that corresponds to this frame.
[-2] = Actual frame that we correspond to (used to sync exception handling).
[-1] = Our parent 6-tuple (corresponds to frame.f_back).
Timing data for each function is stored as a 5-tuple in the dictionary
self.timings[]. The index is always the name stored in self.cur[-3].
The following are the definitions of the members:
[0] = The number of times this function was called, not counting direct
or indirect recursion,
[1] = Number of times this function appears on the stack, minus one
[2] = Total time spent internal to this function
[3] = Cumulative time that this function was present on the stack. In
non-recursive functions, this is the total execution time from start
to finish of each invocation of a function, including time spent in
all subfunctions.
[4] = A dictionary indicating for each function name, the number of times
it was called by us.
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All system for education purposes only. For more tools: Telegram @jackleet