[Scipy-svn] r4680 - trunk

scipy-svn@scip... scipy-svn@scip...
Mon Sep 1 09:40:48 CDT 2008


Author: cdavid
Date: 2008-09-01 09:40:30 -0500 (Mon, 01 Sep 2008)
New Revision: 4680

Modified:
   trunk/INSTALL.txt
Log:
Update INSTALL notes.


Modified: trunk/INSTALL.txt
===================================================================
--- trunk/INSTALL.txt	2008-08-29 23:27:17 UTC (rev 4679)
+++ trunk/INSTALL.txt	2008-09-01 14:40:30 UTC (rev 4680)
@@ -40,7 +40,7 @@
 
 3) Complete LAPACK__ library (see NOTES 1, 2, 3)
 
-   Debian packages: atlas3-headers atlas3-base atlas3-base-dev
+   Debian/Ubuntu packages (g77): atlas3-base atlas3-base-dev
 
    Various SciPy packages do linear algebra computations using the LAPACK
    routines. SciPy's setup.py scripts can use number of different LAPACK
@@ -63,13 +63,10 @@
 1) C, C++, Fortran 77 compilers (see COMPILER NOTES)
 
    To build SciPy or any other extension modules for Python, you'll need
-   a C compiler.
+   a C compiler. Scipy also requires a C++ compiler.
    
    Various SciPy modules use Fortran 77 libraries, so you'll need also
-   at least a Fortran 77 compiler installed. Currently the SciPy build
-   process does not use a C++ compiler, but the SciPy module Weave uses
-   a C++ compiler at run time, so it is good to have C++ compiler around
-   as well.
+   at least a Fortran 77 compiler installed. 
    
    gcc__ 3.x compilers are recommended.  gcc 2.95 and 4.0.x also work on
    some platforms, but may be more problematic (see COMPILER NOTES).
@@ -79,10 +76,9 @@
 __ http://gcc.gnu.org/
 
 
-2) FFTW__ 2.1.x (see Lib/fftpack/NOTES.txt)
+2) FFTW__ x (see Lib/fftpack/NOTES.txt)
 
-   FFTW 3.0.x may also work, but SciPy currently has better performance
-   with FFTW 2.1.x on complex input.
+   FFTW 2.1.x and 3.x work.
 
    Debian packages: fftw2 fftw-dev fftw3 fftw3-dev
 
@@ -98,7 +94,11 @@
 
      http://math-atlas.sourceforge.net/errata.html#completelp
 
-   for instructions.
+   for instructions. Please be aware than building your own atlas is
+   error-prone, and should be avoided as much as possible if you don't want to
+   spend time on build issues. Use the blas/lapack packaged by your
+   distribution on Linux; on Mac Os X, you should use the vecLib/Accelerate
+   framework, which are available when installing the apple development tools.
 
    Below follows basic steps for building ATLAS+LAPACK from scratch.
    In case of trouble, consult the documentation of the corresponding
@@ -255,13 +255,12 @@
 other vendors such as Intel, Absoft, Sun, NAG, Compaq, Vast, Porland,
 Lahey, HP, IBM are supported in the form of community feedback.
 
-gcc__ 3.x compilers are recommended.  gcc 4.0.x also works on some
-platforms (e.g. Linux x86).  SciPy is not fully compatible with gcc
-4.0.x on OS X.  If building on OS X, we recommend you use gcc 3.3, by
-typing:
+gcc__ compiler is recommended.  gcc 3.x and 4.x are known to work. 
+If building on OS X, you should use the provided gcc by xcode tools, and the
+gfortran compiler available here:
 
-  gcc_select 3.3
- 
+http://r.research.att.com/tools/
+
 You can specify which Fortran compiler to use by using the following
 install command::
 
@@ -271,9 +270,10 @@
 
   python setup.py config_fc --help-fcompiler
 
-IMPORTANT: It is highly recommended that all libraries that scipy uses
-(e.g. blas and atlas libraries) are built with the same Fortran
-compiler.
+IMPORTANT: It is highly recommended that all libraries that scipy uses (e.g.
+blas and atlas libraries) are built with the same Fortran compiler. In most
+cases, if you mix compilers, you will not be able to import scipy at best, have
+crashes and random results at worse.
 
 __ http://gcc.gnu.org/
 



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