CTAN Update: xint

[CTAN Announcements]

Jean-François Burnol submitted an update to the

                xint

package.

Version:  1.4 2020-01-31
License:  lppl1.3c

Summary description:  Expandable operations on long numbers

Announcement text:
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 This is a major release with some breaking changes.
 Selected highlights:

 - The \expanded primitive (TeXLive 2019) is required.  Its usage
   has allowed dropping formerly used \csname techniques.  There is
   no more impact on the string pool memory.

 - Square brackets [...] are now associated with actual nested
   structures.  For example \xinteval{1, [2, [3, 4]], 5} produces
   1, [2, [3, 4]], 5 (recall this is free bloatware).

 - Scalar operations on one-dimensional "lists" (which as it turned
   out matched the NumPy "broadcasting" concept) are provisorily
   dropped.  Alternative syntax exists to rescue old documents.

 - Operations on nested lists are inspired from NumPy's.
   Currently, nested (basic) slicing and indexing is implemented.
   But the step parameters are not.  The broadcasting of scalar
   operations is not yet implemented but the user can define
   "universal functions", i.e. functions operating on all leaves of
   the data.  Our structures have leaves at arbitrary varying
   depths, they are not necessarily hyperrectangular like NumPy's.
   Constructors are provided, for example ndmap() maps a function
   on all Cartesian n-uples built from items (at top level) of n
   given lists.

 - Variables in function declarations may be multi-letter words.

 - The last positional variable name may be prefixed with a * as in
   Python to signal it is a "nut-ple" receiving all arguments of
   the function calls beyond the first positional ones ("variadic"
   argument).  Generally speaking, * is the unpacking operator.

 - ... quite a few more features.  See CHANGES.html and xint.pdf.

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The package’s Catalogue entry can be viewed at
   https://ctan.org/pkg/xint

The package’s files themselves can be inspected at
   http://mirror.ctan.org/macros/generic/xint/

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   Thanks for the upload.

     For the CTAN Team
    Petra Rübe-Pugliese

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