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94 lines
3.0 KiB
94 lines
3.0 KiB
5 months ago
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def monitor(f, input='print', output='print'):
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"""
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Returns a wrapped copy of *f* that monitors evaluation by calling
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*input* with every input (*args*, *kwargs*) passed to *f* and
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*output* with every value returned from *f*. The default action
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(specify using the special string value ``'print'``) is to print
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inputs and outputs to stdout, along with the total evaluation
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count::
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>>> from mpmath import *
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>>> mp.dps = 5; mp.pretty = False
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>>> diff(monitor(exp), 1) # diff will eval f(x-h) and f(x+h)
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in 0 (mpf('0.99999999906867742538452148'),) {}
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out 0 mpf('2.7182818259274480055282064')
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in 1 (mpf('1.0000000009313225746154785'),) {}
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out 1 mpf('2.7182818309906424675501024')
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mpf('2.7182808')
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To disable either the input or the output handler, you may
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pass *None* as argument.
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Custom input and output handlers may be used e.g. to store
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results for later analysis::
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>>> mp.dps = 15
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>>> input = []
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>>> output = []
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>>> findroot(monitor(sin, input.append, output.append), 3.0)
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mpf('3.1415926535897932')
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>>> len(input) # Count number of evaluations
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9
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>>> print(input[3]); print(output[3])
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((mpf('3.1415076583334066'),), {})
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8.49952562843408e-5
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>>> print(input[4]); print(output[4])
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((mpf('3.1415928201669122'),), {})
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-1.66577118985331e-7
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"""
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if not input:
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input = lambda v: None
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elif input == 'print':
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incount = [0]
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def input(value):
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args, kwargs = value
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print("in %s %r %r" % (incount[0], args, kwargs))
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incount[0] += 1
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if not output:
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output = lambda v: None
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elif output == 'print':
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outcount = [0]
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def output(value):
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print("out %s %r" % (outcount[0], value))
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outcount[0] += 1
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def f_monitored(*args, **kwargs):
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input((args, kwargs))
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v = f(*args, **kwargs)
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output(v)
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return v
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return f_monitored
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def timing(f, *args, **kwargs):
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"""
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Returns time elapsed for evaluating ``f()``. Optionally arguments
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may be passed to time the execution of ``f(*args, **kwargs)``.
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If the first call is very quick, ``f`` is called
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repeatedly and the best time is returned.
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"""
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once = kwargs.get('once')
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if 'once' in kwargs:
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del kwargs['once']
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if args or kwargs:
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if len(args) == 1 and not kwargs:
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arg = args[0]
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g = lambda: f(arg)
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else:
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g = lambda: f(*args, **kwargs)
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else:
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g = f
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from timeit import default_timer as clock
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t1=clock(); v=g(); t2=clock(); t=t2-t1
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if t > 0.05 or once:
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return t
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for i in range(3):
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t1=clock();
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# Evaluate multiple times because the timer function
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# has a significant overhead
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g();g();g();g();g();g();g();g();g();g()
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t2=clock()
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t=min(t,(t2-t1)/10)
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return t
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