1 \section{\module{fpectl
} ---
2 Floating point exception control
}
4 \declaremodule{extension
}{fpectl
}
5 \platform{Unix, Windows
}
6 \moduleauthor{Lee Busby
}{busby1@llnl.gov
}
7 \sectionauthor{Lee Busby
}{busby1@llnl.gov
}
8 \modulesynopsis{Provide control for floating point exception handling.
}
10 Most computers carry out floating point operations
\index{IEEE-
754}
11 in conformance with the so-called IEEE-
754 standard.
13 some floating point operations produce results that cannot
14 be expressed as a normal floating point value.
21 >>> math.exp(
1000)/math.exp(
1000)
25 (The example above will work on many platforms.
26 DEC Alpha may be one exception.)
27 "Inf" is a special, non-numeric value in IEEE-
754 that
28 stands for "infinity", and "nan" means "not a number."
30 other than the non-numeric results,
31 nothing special happened when you asked Python
32 to carry out those calculations.
33 That is in fact the default behaviour prescribed in the IEEE-
754 standard,
34 and if it works for you,
37 In some circumstances,
38 it would be better to raise an exception and stop processing
39 at the point where the faulty operation was attempted.
40 The
\module{fpectl
} module
41 is for use in that situation.
42 It provides control over floating point
43 units from several hardware manufacturers,
44 allowing the user to turn on the generation
45 of
\constant{SIGFPE
} whenever any of the
46 IEEE-
754 exceptions Division by Zero, Overflow, or
47 Invalid Operation occurs.
48 In tandem with a pair of wrapper macros that are inserted
49 into the C code comprising your python system,
50 \constant{SIGFPE
} is trapped and converted into the Python
51 \exception{FloatingPointError
} exception.
53 The
\module{fpectl
} module defines the following functions and
54 may raise the given exception:
56 \begin{funcdesc
}{turnon_sigfpe
}{}
57 Turn on the generation of
\constant{SIGFPE
},
58 and set up an appropriate signal handler.
61 \begin{funcdesc
}{turnoff_sigfpe
}{}
62 Reset default handling of floating point exceptions.
65 \begin{excdesc
}{FloatingPointError
}
66 After
\function{turnon_sigfpe()
} has been executed,
67 a floating point operation that raises one of the
69 Division by Zero, Overflow, or Invalid operation
70 will in turn raise this standard Python exception.
74 \subsection{Example
\label{fpectl-example
}}
76 The following example demonstrates how to start up and test operation of
77 the
\module{fpectl
} module.
82 >>> fpectl.turnon_sigfpe()
85 FloatingPointError: Overflow
88 FloatingPointError: Division by zero
89 [ more output from test elided
]
92 Traceback (most recent call last):
93 File "<stdin>", line
1, in ?
94 FloatingPointError: in math_1
98 \subsection{Limitations and other considerations
}
100 Setting up a given processor to trap IEEE-
754 floating point
101 errors currently requires custom code on a per-architecture basis.
102 You may have to modify
\module{fpectl
} to control your particular hardware.
104 Conversion of an IEEE-
754 exception to a Python exception requires
105 that the wrapper macros
\code{PyFPE_START_PROTECT
} and
106 \code{PyFPE_END_PROTECT
} be inserted into your code in an appropriate
107 fashion. Python itself has been modified to support the
108 \module{fpectl
} module, but many other codes of interest to numerical
111 The
\module{fpectl
} module is not thread-safe.
114 \seetext{Some files in the source distribution may be interesting in
115 learning more about how this module operates.
116 The include file
\file{Include/pyfpe.h
} discusses the
117 implementation of this module at some length.
118 \file{Modules/fpetestmodule.c
} gives several examples of
120 Many additional examples can be found in
121 \file{Objects/floatobject.c
}.
}