cctbx Multi-platform Build Results

Build tag: 2004_05_17_0534

Binary distributions

irix65_mipspro7312_py222 test.log build.log

irix65_mipspro741_py222 test.log build.log

mac_os_10_2_py23 selfx test.log build.log [Mac OS X notes]

mac_os_10_3 selfx test.log build.log [Mac OS X notes]

redhat73_py222 test.log build.log

redhat80 selfx test.log build.log

redhat80_py23 selfx test.log build.log

redhat90 selfx test.log build.log

redhat90_py23 selfx test.log build.log

redhat_ws3 selfx test.log build.log

tru64_py222 test.log build.log

tru64_py23 test.log build.log

win_xp_py222 exe test.log build.log (also known to work under Windows 2000)

win_xp_py233 exe test.log build.log (also known to work under Windows 2000)

[Other platforms]

On platforms with a choice of Python 2.2.2 or Python 2.3 use the Python 2.3 bundle if you have no preference. For Windows get the bundle that matches your existing Python installation. Download the desired selfx or exe self-extracting binary distribution to a new, empty directory. Avoid directories with spaces in the pathname. In particular, under Windows do not install under C:\Program Files.

Under Unix install a selfx distribution using the perl command, for example:

perl cctbx_redhat80.selfx
Under Windows exe distributions are installed simply by running them (the matching Python version must be installed already).

The installer must be run on the platform where it is used. The installed package may be used over the network, but only if the pathnames to the installation directory are identical on the server and the client.

[Installation overview]

Self-extracting cctbx and Python 2.3 sources for Unix

cctbx_python_23_bundle.selfx

Download the file and run the following command in a new, empty directory:
perl cctbx_python_23_bundle.selfx
This installs Python 2.3 and all cctbx modules from scratch.

Alternative for manual installation: cctbx_python_23_bundle.tar.gz [Installation instructions]

Self-extracting cctbx and Python 2.2.2 sources for Unix

cctbx_python_222_bundle.selfx

Download the file and run the following command in a new, empty directory:
perl cctbx_python_222_bundle.selfx
This installs Python 2.2.2 and all cctbx modules from scratch.

Alternative for manual installation: cctbx_python_222_bundle.tar.gz [Installation instructions]

Self-extracting cctbx sources for Unix

cctbx_bundle.selfx

Download the file and run the following command in a new, empty directory:
perl cctbx_bundle.selfx
This installs all cctbx modules from scratch. Python 2.2.1 or higher must be pre-installed on the target machine. Known to work under Redhat 8.0 with the Python version that ships with the operating system (/usr/bin/python).

Alternative for manual installation: cctbx_bundle.tar.gz [Installation instructions]

changes.txt

new top-level mmtbx (macromolecular toolbox)
  - experimental, interfaces expected to change substantially
  - automatic mask determination
  - bulk solvent correction
  - simple maximum likelihood target
  - stereochemistry restraints:
    - bond, angle, dihedral, chirality, planarity, repulsion

cctbx.miller:
  - new array.common_sets()
  - new array.as_anomalous()
  - new array.correlation()
  - array.anomalous_signal() with binning

cctbx.crystal.symmetry:
  - new is_similar_symmetry()

cctbx.crystal.neighbors_simple_pair_generator,
cctbx.crystal.neighbors_fast_pair_generator:
  - changed to support a simple scheme for adding up gradients
    of bonded and nonbonded interactions that also works for
    atoms on special positions

cctbx.crystal.distance_ls:
  - prototype distance-least-squares
    - at this point mainly a regression test for bond residual
      and gradient calculations

iotbx:
  - new command iotbx.reflection_statistics
    - computation of reflection file statistics:
        completeness
        correlation
        anomalous signal
      overall and in bins, for each array and for all pairs of arrays
  - iotbx.xplor map reading and writing completely reorganized and generalized
  - new option.parser.show_help()

scitbx.math:
  - new matrix_inversion_in_place for N*N matrices

scitbx.array_family:
  - new flex.random_permutation()
  - flex..count() for numeric types and flex.std_string
  - new scitbx.math.bessel.ln_of_i0()

Adjustments for Mac OS 10.3 Xcode tools v1.2

Latest Boost CVS (2004_05_13_0200)
Latest CCP4 I/O CVS (2004_05_10_0840)
Latest SCons CVS (2004_05_13_0152)