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📛 NAME

profile - Class for profiling Python code.

🚀 Quick Reference

Use Case	Command	Description
Profile a statement string	profile.run('code')	Execute and profile a string, print stats
Profile a function call	Profile().runcall(func, *args, **kw)	Profile a single function call directly
Profile with custom globals/locals	profile.runctx('code', globals(), locals())	Run statement with given namespace, optional file output
Save stats to file	Profile().dump_stats('profile.out')	Write raw profiling data to a file
Pretty-print stats	Profile().print_stats(sort=-1)	Print formatted report (sort by cumulative time, etc.)
Snapshot without stopping	Profile().snapshot_stats()	Take a statistics snapshot of the current run

📚 MODULE REFERENCE

https://docs.python.org/3.10/library/profile.html The following documentation is automatically generated from the Python source files. It may be incomplete, incorrect or include features that are considered implementation detail and may vary between Python implementations. When in doubt, consult the module reference at the location listed above.

🧩 CLASSES

🔹 Profile

class Profile(builtins.object) | Profile(timer=None, bias=None) | | 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. (old profiler | used to write into the frames local dictionary!!) Derived classes | can change the definition of some entries, as long as they leave | [-2:] intact (frame and previous tuple). In case an internal error is | detected, the -3 element is used as the function name. | | [ 0] = Time that needs to be charged to the parent frame's function. | It is used so that a function call will not have to access the | 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.

⚙️ Methods

• __init__(self, timer=None, bias=None) — Initialize self. See help(type(self)) for accurate signature.
• calibrate(self, m, verbose=0)
• create_stats(self)
• dump_stats(self, file)
• print_stats(self, sort=-1)
• run(self, cmd)
• runcall(self, func, /, *args, **kw) — This method is more useful to profile a single function call.
• runctx(self, cmd, globals, locals)
• set_cmd(self, cmd)
• simulate_call(self, name)
• simulate_cmd_complete(self)
• snapshot_stats(self)
• trace_dispatch(self, frame, event, arg)
• trace_dispatch_c_call(self, frame, t)
• trace_dispatch_call(self, frame, t)
• trace_dispatch_exception(self, frame, t)
• trace_dispatch_i(self, frame, event, arg)
• trace_dispatch_l(self, frame, event, arg)
• trace_dispatch_mac(self, frame, event, arg)
• trace_dispatch_return(self, frame, t)

📊 Data Descriptors

• __dict__ — dictionary for instance variables (if defined)
• __weakref__ — list of weak references to the object (if defined)

📦 Data & Other Attributes

• bias = 0
• dispatch =

  {'c_call': <function Profile.trace_dispatch_c_call>, 'c_exc...}

• fake_code =

  <class 'profile.Profile.fake_code'>

• fake_frame =

  <class 'profile.Profile.fake_frame'>

🔧 FUNCTIONS

🏃 run(statement, filename=None, sort=-1)

Run statement under profiler optionally saving results in filename

This function takes a single argument that can be passed to the "exec" statement, and an optional file name. In all cases this routine attempts to "exec" its first argument and gather profiling 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.

🌐 runctx(statement, globals, locals, filename=None, sort=-1)

Run statement under profiler, supplying your own globals and locals, optionally saving results in filename.

statement and filename have the same semantics as profile.run

📋 DATA

__all__ = ['run', 'runctx', 'Profile']

📁 FILE

/usr/lib/python3.10/profile.py

📛 NAME 🚀 Quick Reference 📚 MODULE REFERENCE 🧩 CLASSES 🔧 FUNCTIONS 📋 DATA 📁 FILE