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opcode.cpython-38.pyc	5.29 KB	-rw-r--r--
operator.cpython-38.pyc	13.37 KB	-rw-r--r--
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os.cpython-38.pyc	30.66 KB	-rw-r--r--
pathlib.cpython-38.pyc	43.17 KB	-rw-r--r--
pdb.cpython-38.pyc	46.12 KB	-rw-r--r--
pickle.cpython-38.pyc	45.81 KB	-rw-r--r--
pickletools.cpython-38.pyc	65.63 KB	-rw-r--r--
pipes.cpython-38.pyc	7.61 KB	-rw-r--r--
pkgutil.cpython-38.pyc	15.93 KB	-rw-r--r--
platform.cpython-38.pyc	23.76 KB	-rw-r--r--
plistlib.cpython-38.pyc	26.53 KB	-rw-r--r--
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pprint.cpython-38.pyc	15.9 KB	-rw-r--r--
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Code Editor : timeit.cpython-38.pyc

������@h�4����������������������@���s����d�Z�ddlZddlZddlZddlZddddgZdZdZd	Zej	Z
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This module avoids a number of common traps for measuring execution
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Library usage: see the Timer class.

Command line usage:
    python timeit.py [-n N] [-r N] [-s S] [-p] [-h] [--] [statement]

Options:
  -n/--number N: how many times to execute 'statement' (default: see below)
  -r/--repeat N: how many times to repeat the timer (default 5)
  -s/--setup S: statement to be executed once initially (default 'pass').
                Execution time of this setup statement is NOT timed.
  -p/--process: use time.process_time() (default is time.perf_counter())
  -v/--verbose: print raw timing results; repeat for more digits precision
  -u/--unit: set the output time unit (nsec, usec, msec, or sec)
  -h/--help: print this usage message and exit
  --: separate options from statement, use when statement starts with -
  statement: statement to be timed (default 'pass')

A multi-line statement may be given by specifying each line as a
separate argument; indented lines are possible by enclosing an
argument in quotes and using leading spaces.  Multiple -s options are
treated similarly.

If -n is not given, a suitable number of loops is calculated by trying
increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... until the
total time is at least 0.2 seconds.

Note: there is a certain baseline overhead associated with executing a
pass statement.  It differs between versions.  The code here doesn't try
to hide it, but you should be aware of it.  The baseline overhead can be
measured by invoking the program without arguments.

Classes:

Timer

Functions:

timeit(string, string) -> float
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To measure the execution time of the first statement, use the
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        repeatedly, returning a list of results.  The first argument
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        to one million.

Note: it's tempting to calculate mean and standard deviation
        from the result vector and report these.  However, this is not
        very useful.  In a typical case, the lowest value gives a
        lower bound for how fast your machine can run the given code
        snippet; higher values in the result vector are typically not
        caused by variability in Python's speed, but by other
        processes interfering with your timing accuracy.  So the min()
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r���c�����������������C���s���t�|�|||��|�S�)zCConvenience function to create Timer object and call timeit method.)r���r���)r���r���r���r1���r$���r���r���r
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When an exception happens during timing, a traceback is printed to
    stderr and the return value is 1.  Exceptions at other times
    (including the template compilation) are not caught.

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