Merged revisions 79858 via svnmerge from
svn+ssh://pythondev@svn.python.org/python/trunk ........ r79858 | mark.dickinson | 2010-04-06 20:50:03 +0100 (Tue, 06 Apr 2010) | 3 lines Issue #7947: Clarify math module behaviour for IEEE 754 special cases, along with a number of additional minor edits and typo corrections. ........
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@ -33,8 +33,8 @@ Number-theoretic and representation functions
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.. function:: copysign(x, y)
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Return *x* with the sign of *y*. ``copysign`` copies the sign bit of an IEEE
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754 float, ``copysign(1, -0.0)`` returns *-1.0*.
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Return *x* with the sign of *y*. On a platform that supports
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signed zeros, ``copysign(1.0, -0.0)`` returns *-1.0*.
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.. function:: fabs(x)
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@ -99,15 +99,13 @@ Number-theoretic and representation functions
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.. function:: isinf(x)
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Checks if the float *x* is positive or negative infinite.
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Check if the float *x* is positive or negative infinity.
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.. function:: isnan(x)
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Checks if the float *x* is a NaN (not a number). NaNs are part of the
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IEEE 754 standards. Operation like but not limited to ``inf * 0``,
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``inf / inf`` or any operation involving a NaN, e.g. ``nan * 1``, return
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a NaN.
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Check if the float *x* is a NaN (not a number). For more information
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on NaNs, see the IEEE 754 standards.
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.. function:: ldexp(x, i)
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@ -223,7 +221,7 @@ Trigonometric functions
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The vector in the plane from the origin to point ``(x, y)`` makes this angle
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with the positive X axis. The point of :func:`atan2` is that the signs of both
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inputs are known to it, so it can compute the correct quadrant for the angle.
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For example, ``atan(1``) and ``atan2(1, 1)`` are both ``pi/4``, but ``atan2(-1,
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For example, ``atan(1)`` and ``atan2(1, 1)`` are both ``pi/4``, but ``atan2(-1,
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-1)`` is ``-3*pi/4``.
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@ -331,28 +329,31 @@ Constants
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.. data:: pi
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The mathematical constant *pi*.
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The mathematical constant π = 3.141592..., to available precision.
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.. data:: e
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The mathematical constant *e*.
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The mathematical constant e = 2.718281..., to available precision.
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.. impl-detail::
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The :mod:`math` module consists mostly of thin wrappers around the platform C
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math library functions. Behavior in exceptional cases is loosely specified
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by the C standards, and Python inherits much of its math-function
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error-reporting behavior from the platform C implementation. As a result,
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the specific exceptions raised in error cases (and even whether some
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arguments are considered to be exceptional at all) are not defined in any
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useful cross-platform or cross-release way.
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math library functions. Behavior in exceptional cases follows Annex F of
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the C99 standard where appropriate. The current implementation will raise
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:exc:`ValueError` for invalid operations like ``sqrt(-1.0)`` or ``log(0.0)``
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(where C99 Annex F recommends signaling invalid operation or divide-by-zero),
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and :exc:`OverflowError` for results that overflow (for example,
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``exp(1000.0)``). A *NaN* will not be returned from any of the functions
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above unless one or more of the input arguments was a *NaN*; in that case,
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most functions will return a *NaN*, but (again following C99 Annex F) there
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are some exceptions to this rule, for example ``pow(float('nan'), 0.0)`` or
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``hypot(float('nan'), float('inf'))``.
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All functions return a quiet *NaN* if at least one of the args is *NaN*.
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Signaling *NaN*\s raise an exception. The exception type still depends on the
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platform and libm implementation. It's usually :exc:`ValueError` for *EDOM*
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and :exc:`OverflowError` for errno *ERANGE*.
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Note that Python makes no effort to distinguish signaling nans from
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quiet nans, and behavior for signaling nans remains unspecified.
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Typical behavior is to treat all nans as though they were quiet.
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.. seealso::
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