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<title>pkgsrc/math/py-Numeric/PLIST, branch pkgsrc_2004Q4</title>
<subtitle>[no description]</subtitle>
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<updated>2003-09-14T17:43:53Z</updated>
<entry>
<title>Update to 23.1.</title>
<updated>2003-09-14T17:43:53Z</updated>
<author>
<name>recht</name>
<email>recht</email>
</author>
<published>2003-09-14T17:43:53Z</published>
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changes:
Version 23.1 August 2003
[unreported]  fixed assignment to matrix.
[unreported]  added check so that non-character array cannot be interpreted
                as a character buffer.
[unreported]  array([m,m,m])  when m is a rank-0 array now works as expected.
Patches:
[ 782001 ] Add true and floor divide to MA
[ 781215 ] true_divide bug
[ 776991 ] multiplying small UINT values gives random results
[ 776467 ] remove string exceptions
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</entry>
<entry>
<title>update to 23.0</title>
<updated>2003-04-03T18:52:39Z</updated>
<author>
<name>drochner</name>
<email>drochner</email>
</author>
<published>2003-04-03T18:52:39Z</published>
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Important notice:
 Two packages have been removed from optional ones: PropertiedClasses, kinds.
 MA has been rewritten to use standard property and will not work for
 ancient Pythons. (Pre 2.1, I think). Use the MA / Propertied Classes
 from Numeric 22 if you can't use this one.
 The kinds package (subject of PEP-0242) will be released as a separate
 package shortly. PEP-0242 was withdrawn because this facility did not seem
 to be worth putting in the standard library, but kinds is correct as is.
Other changes are bugfixes.
</content>
</entry>
<entry>
<title>Update py-Numeric to version 21.0</title>
<updated>2002-10-30T10:35:32Z</updated>
<author>
<name>markd</name>
<email>markd</email>
</author>
<published>2002-10-30T10:35:32Z</published>
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Fixed bugs:
    [ #482603 ] Memory leak in MA/Numeric/Python
                Reported by Reggie Dugard. Turned out to be
                *two* memory leaks in one case in a routine in Numeric,
                array_objectype. (Dubois)
    [ none    ] if vals was a null-array array([]) putmask and put would
                   crash.  Fixed with check.
    [ #469951 ] n = n1[0] gives array which shares dimension of n1 array.
                  This causes bugs if shape of n1 is changed (n didn't used
                  to have it's own dimensions array  (Travis Oliphant)
    [ #514588 ] MLab.cov(x,x) != MLab.cov(x) (Travis Oliphant)
    [ #518702 ] segfault when invalid typecode for asarray (Travis Oliphant)
    [ #497530 ] MA __getitem__ prevents 0 len arrays (Reggie Duggard)
    [ #508363 ] outerproduct of noncontiguous arrays (Martin Wiechert)
    [ #513010 ] memory leak in comparisons (Byran Nollett)
    [ #512223 ] Character typecode not defined (Jochen Kupper)
    [ #500784 ] MLab.py diff error (anonymous, fixed by Dubois)
    [ #503741 ] accuracy of MLab.std(x) (Katsunori Waragai)
    [ #507568 ] overlapping copy a[2:5] = a[3:6]
                Change uses of memcpy to memmove which allows overlaps.
    [ numpy-Patches-499722 ] size of buffer created from array is bad (Michel Sanner).
    [ #502186 ] a BUG in RandomArray.normal (introduced by last bug fix in 20.3)
               (Katsunori Waragai).

Fixed errors for Mac (Jack Jensen).

Make rpm's properly, better Windows installers. (Gerard Vermeulen)
    Added files setup.cfg; setup calculates rpm_install.sh to use current Python.
    New setup.py, eliminate setup_all.py. Use os.path.join everywhere. Revision
    in b6 added file README.RPM, further improvements.

Implement true division operations for Python 2.2. (Bruce Sherwood)
    Note: true division of all integer types results in an array of floats,
    not doubles. This decision is arbitrary and there are arguments either way,
    so users of this new feature should be aware that the decision may
    change in the future.

New functions in Numeric; they work on any sequence a that can be converted to a
Numeric array. Similar change to average in MA. (Dubois)

    def rank (a):
        "Get the rank of a (the number of dimensions, not a matrix rank)"

    def shape (a):
        "Get the shape of a"

    def size (a, axis=None):
        "Get the number of elements in a, or along a certain axis."

    def average (a, axis=0, weights=None, returned = 0):
        Computes average along indicated axis.
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</entry>
<entry>
<title>Move pkg/ files into package's toplevel directory</title>
<updated>2001-11-01T00:32:23Z</updated>
<author>
<name>zuntum</name>
<email>zuntum</email>
</author>
<published>2001-11-01T00:32:23Z</published>
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