Changes between Version 34 and Version 35 of NumpyInstall

Timestamp:

Jun 11, 2009, 2:20:03 PM (16 years ago)

Author:

rwilson

Comment:

--

NumpyInstall

@@ -186 +186 @@
 Before testing, you must have installed the ANUGA system.  How to get the source code is documented
 elsewhere, but to be brief, you can either download the latest '''numpy''' release package and unpack
-it into the suggested place ({{{/usr/lib/python2.5/site-packages}}}), or you can get the numpy source
-tree through subversion.
+it into the suggested place ({{{C:\Python25\Lib\site-packages}}}), or you can get the numpy source
+tree through subversion.  Follow the test and validation precodures in the current installation guide
+if you go this way.
 
 If you get the numpy ANUGA system through subversion, you will probably download the {{{branches/numpy}}}
-source tree to a place of your choice, say {{{~/ANUGA}}}.  In this case you need to set the PYTHONPATH
+source tree to a place of your choice, say {{{C:\ANUGA}}}.  In this case you need to set the PYTHONPATH
 environment variable to run ANUGA:
 {{{
-cd ~/ANUGA
-svn co https://datamining.anu.edu.au/svn/ga/branches/numpy
-svn co https://datamining.anu.edu.au/svn/ga/branches/numpy_anuga_validation  # need to validate ANUGA
-export PYTHONPATH=~/ANUGA/numpy
-}}}
+cd C:\ANUGA
+checkout https://datamining.anu.edu.au/svn/ga/branches/numpy
+checkout https://datamining.anu.edu.au/svn/ga/branches/numpy_anuga_validation  # needed to validate ANUGA
+set PYTHONPATH environment variable to C:\ANUGA\numpy
+}}}
+The Windows Tortoise SVN client can be used to access the repository.
 
 To test your ANUGA install, do:
 {{{
-cd ~/ANUGA/numpy/anuga
+cd C:\ANUGA\numpy\anuga
 python compile_all.py
 python test_all.py
@@ -208 +210 @@
 To validate ANUGA, do:
 {{{
-cd ~/ANUGA/numpy_anuga_validation/automated_validation_tests
+cd C:\ANUGA\numpy_anuga_validation\automated_validation_tests
 python validate_all.py
 }}}