[Python-checkins] CVS: python/nondist/peps pep-0228.txt,1.1,1.2
Moshe Zadka
python-dev@python.org
Sun, 5 Nov 2000 12:36:11 -0800
Update of /cvsroot/python/python/nondist/peps
In directory slayer.i.sourceforge.net:/tmp/cvs-serv9952
Modified Files:
pep-0228.txt
Log Message:
Added some issues because of Py-Dev feedback
Index: pep-0228.txt
===================================================================
RCS file: /cvsroot/python/python/nondist/peps/pep-0228.txt,v
retrieving revision 1.1
retrieving revision 1.2
diff -C2 -r1.1 -r1.2
*** pep-0228.txt 2000/11/05 16:55:24 1.1
--- pep-0228.txt 2000/11/05 20:36:06 1.2
***************
*** 1,3 ****
! PEP: Unassigned
Title: Reworking Python's Numeric Model
Version: $Revision$
--- 1,3 ----
! PEP: 228
Title: Reworking Python's Numeric Model
Version: $Revision$
***************
*** 76,104 ****
mathematicl result.
- 6. Rationale -- The rationale fleshes out the specification by
- describing what motivated the design and why particular design
- decisions were made. It should describe alternate designs that
- were considered and related work, e.g. how the feature is
- supported in other languages.
-
- The rationale should provide evidence of consensus within the
- community and discuss important objections or concerns raised
- during discussion.
-
- 7. Reference Implementation -- The reference implementation must
- be completed before any PEP is given status 'final,' but it
- need not be completed before the PEP is accepted. It is better
- to finish the specification and rationale first and reach
- consensus on it before writing code.
-
- The final implementation must include test code and
- documentation appropriate for either the Python language
- reference or the standard library reference.
-
Numerical Python Issues
! People using Numerical Python do that for high-performance
! vector operations. Therefore, NumPy should keep it's hardware
! based numeric model.
Copyright
--- 76,90 ----
mathematicl result.
Numerical Python Issues
+
+ People using Numerical Python do that for high-performance
+ vector operations. Therefore, NumPy should keep it's hardware
+ based numeric model.
+
+ Unresolved Issues
+
+ Which number literals will be exact, and which inexact?
! How do we deal with IEEE 754?
Copyright