Improved documentation

This commit is contained in:
Anthony Scemama 2010-07-13 19:45:35 +02:00
parent b5172e33ae
commit c26efd97a4
9 changed files with 191 additions and 26 deletions

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@ -46,12 +46,18 @@ Localization Function.@refill
@end menu
@node Introduction
@chapter Introduction
@chapter What is EPLF?
@include intro.texi
@node Using EPLF
@node Structure of the EPLF code
@chapter Structure of the EPLF code
@include programming.texi
@node Using the EPLF code
@chapter Using the @exe program
@include wf.texi
@include ezfio.texi
@include interface.texi
@include running.texi
@bye

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@ -2,22 +2,26 @@
{@acronym{EZFIO} }
@end macro
@section Preparing the @ezfio file
@section Building the @ezfio database
An @ezfio database is a directory which contains all the needed input/output data
needed by the code.
The @exe program uses the @ezfio (Easy Fortran Input/Output) library
generator@footnote{@url{http://ezfio.sourceforge.net}} to handle data persistence.
An @ezfio ``file'' is a directory which contains all the needed input/output data
needed by the code. These files are accessible via a simple @acronym{API} both
in Fortran and Python.
@subsection Using the provided wrapper
The output file containing the computed wave function has to be transformed
into an @ezfio file in order to be used by @exe. This step is realized by
calling the @command{to_ezfio.py} Python script followed by the name of the
The output file from Molpro, @gamess or Gaussian has to be transformed
into an @ezfio database in order to be used by @exe. This step is realized by
calling the @command{to_ezfio.exe} command, followed by the name of the
file containing the wave function:
@example
to_ezfio.py test.out
to_ezfio.exe test.out
@end example
An @ezfio file is produced, named @file{test.out.ezfio}.
An @ezfio database is then produced, named @file{test.out.ezfio}.
@subsection Using your own code
Refer to the @ezfio web site@footnote{http://ezfio.sourceforge.net}
to learn how to use the @ezfio @acronym{API} to collect your data into an
@ezfio database. The @ezfio definition file is the @file{eplf.config} file,
located at the root of the EPLF package.

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@ -0,0 +1,82 @@
The @exe code is able to compute the following functions on a regular three-dimensional
grid:
@itemize
@item The electron pair localization function (EPLF)
@item The electron localization function (ELF)
@item The electron density
@end itemize
The gradients, the norm of the gradient and the laplacian of any of these
three functions can also be requested. Note that the EPLF can only be calculated
for a single Slater determinant.
@section Using the provided interface
The @file{eplf_edit.py} script allows to modify easily the conditions of the calculation:
the choice of the functions to compute, the dimension of the grid, etc.
Running the following command
@example
eplf_edit.py test.out.ezfio
@end example
opens an input file in your default editor (defined by the @code{$EDITOR}
environment variable). Lines starting with a @code{#} character are commented.
The input file is separated in three sections.
@subsection The Computation section
If you are in a parallel environment, the first line of this section is
@example
nproc = 0
@end example
which defines the number of processors to use. If nproc is chosen equal to 0,
then the batch queuing system may choose itself the proper number of processors.
Otherwise, specify the number of processors you want to use.
Then, all the computable functions appear, preceded by empty parentheses. Put an
@code{X} between the parentheses for the functions you want to compute, for example
@example
(X) elf
( ) density
(X) eplf
@end example
@subsection The Edit section
You can edit the nuclear coordinates and/or the parameters of the grid by
un-commenting the @code{edit(geometry)} or @code{edit(grid_parameters)}
statements.
When you save and quit the current input file, a new file will be open containing
the parameters to edit. In the case of the grid parameters, as there is some redundance
between the possible inputs quantities, the @code{Default} keyword can be used to
replace the (x,y,z) specification.
@example
###########################
# Grid : test.out.ezfio
###########################
# Number of points along x, y, z
40 40 40
# Coordinates of the origin (x,y,z)
-3.000000 -4.744648 -5.322027
# Coordinates of the opposite point (x,y,z)
Default
# Step sizes (x,y,z)
Default
@end example
@subsection The Clear section
All the previously calculated grids are saved in the @ezfio database.
If the grid parameters are changed, these grids are inconsistent.
Therefore, it may be necessary to clear the previously calculated grids.
This can be realized by un-commenting the @code{clear(*)} statements.
The @code{clear(all)} statement clears all the grids, and also the grid
parameters.
@subsection Saving the input data
When the editor is closed, after saving the file, all the input data is
saved into the EZFIO database. It can be modified later by running again
the @file{eplf_edit.py} script. A shell script @file{run_test.out.ezfio.sh}
is automatically created to launch the calculation.

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@ -0,0 +1,25 @@
@macro irp
{@acronym{IRPF90} }
@end macro
@macro eplf
{@acronym{EPLF} }
@end macro
@macro ezfio
{@acronym{EZFIO} }
@end macro
The @eplf code is written using the @irp environment
@footnote{``IRPF90: a programming environment for high performance computing''
A. Scemama, arXiv:0909.5012v1 [cs.SE] (2009)}, which needs Python>2.3.
@irp can be downloaded from @url{http://irpf90.ups-tlse.fr}
The input/output data are handled by the Eazy Fortran I/O library generator (EZFIO),
which can be downloaded from @url{http://ezfio.sourceforge.net}. In this way, the
data needed by the Fortran code is accessible both by Fortran an Python using the
same API. The computational part of @eplf is written in @irp and the user
interfaces are written in Python.

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@ -0,0 +1,16 @@
@section Running the calculation
To run the calculation, run the @command{./run_test.out.ezfio.sh} command,
or place it in a submission script of a batch queuing system.
Once the calculation is done, the grid is saved into the @ezfio database.
It can be converted to a cube file using the @command{to_cube} tool,
specifying as a first argument the @ezfio database, and which grid to convert
as a second argument. For example:
@example
to_cube test.out.ezfio eplf
@end example
produces the file @file{test.out.ezfio_eplf.cube}

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@ -1,3 +1,9 @@
In theory, the @eplf can be computed from any kind of wave function (but note
that the present code is written in the Restricted Hartree-Fock framework).
The first step is to calculate a wave function using a quantum
chemistry code. Then, the parameters of the wave function need to be saved in
the @ezfio database in order to be communicated to the @exe fortran program.
@section Wave function preparation
@macro gamess
@ -24,14 +30,22 @@
{@acronym{CI} }
@end macro
Output files of Gaussian, Molpro and @gamess can be read to build the wave function files.
A major constraint is to realize @emph{single point} a calculation.
Wave functions calculated using Gaussian, Molpro and @gamess can be read from
the output files. A major constraint is to realize a @emph{single point}
calculation, all the following quantities appearing in the output file:
@itemize
@item The basis set
@item The full set of MOs
@item The coefficients of the Slater determinant expansion for @ci wave functions.
@end itemize
@subsection Using Gaussian
In the Gaussian input file, use the keywords @code{GFPRINT} and @code{pop=Full}.
In the case of @cas wave functions, use the @code{#p} keyword and the @code{SlaterDet}
attribute of the @code{CAS} keyword.
When doing a @cas with Gaussian, first do the Hartree-Fock calculation saving the checkpoint
file and then do the @cas in a second step.
@subsection Using Molpro
@ -43,22 +57,31 @@ Use the following options in the Molpro input file:
@item @code{gthresh,printci=0.;} for @mcscf calculations
@end itemize
An @rhf calculation is mandatory before any @mcscf calculation. Be sure to
print @emph{all} molecular orbitals using the @code{orbprint} keyword.
An @rhf calculation is mandatory before any @mcscf calculation, since some
information is printed only the @rhf part. Be sure to print @emph{all} molecular
orbitals using the @code{orbprint} keyword, and to use the same spin multiplicity
and charge between the @rhf and the @cas.
@subsection Using @gamess
For @mcscf calculations, first compute the @mcscf single-point wave function
with the @acronym{GUGA} algorithm. Then, put the the @mcscf orbitals in the
@gamess input file, and run a single-point @acronym{GUGA} @ci calculation with
with the @acronym{GUGA} algorithm. Then, put the the @mcscf orbitals (of the
@code{.dat} file) in the @gamess input file, and run a single-point
@acronym{GUGA} @ci calculation with
the following keywords:
@itemize @bullet
@item
@code{PRTTOL=0.0} in the @code{$GUGDIA} group
@code{PRTTOL=0.0001} in the @code{$GUGDIA} group to use a threshold of @math{10^{-4}} on
the @ci coefficients
@item
@code{NPRT=2} in the @code{$CIDRT} group
@code{NPRT=2} in the @code{$CIDRT} group to print the CSF expansions in terms of Slater determinants
@item
@code{PRTMO=.T.} in the @code{$GUESS} group
@code{PRTMO=.T.} in the @code{$GUESS} group to print the molecular orbitals
@end itemize
@subsection Using your own code
Any other code producing a wave function can be used, as long as you are able to gather all
the needed data.

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@ -263,6 +263,12 @@ def edit_temp_file(input_file,write_file,read_file,saved_file=None):
def build_script(inp):
run_script = "run_"+inp.name
# try:
# file = open(run_script,'r')
# file.close()
# return
# except:
# pass
file = open(run_script,'w')
buffer = """
#!/bin/bash
@ -271,7 +277,10 @@ $RUNCOMMAND
""".lstrip()
command = "${EPLF_PATH}/bin/eplf %s"%(inp.name)
if inp.has_mpi:
command = "${EPLF_MPIRUN} -np %d "%(inp.nproc)+command
if inp.nproc <= 0:
command = "${EPLF_MPIRUN} "+command
else:
command = "${EPLF_MPIRUN} -np %d "%(inp.nproc)+command
buffer = buffer.replace("$RUNCOMMAND",command)
print >>file, buffer
file.close()

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@ -146,17 +146,17 @@ def write_ezfioFile(res,filename):
# Determinants
det_thr = 1.e-6
closed_mos = res.closed_mos
nactive = ezfio.get_mo_basis_mo_active_num()
virtual_mos = res.virtual_mos
dets_a = []
dets_b = []
for d in res.determinants:
dnew_a = []
dnew_b = []
for x in d['alpha']:
if x not in closed_mos:
if x not in closed_mos+virtual_mos:
dnew_a.append(x+1)
for x in d['beta']:
if x not in closed_mos:
if x not in closed_mos+virtual_mos:
dnew_b.append(x+1)
for x in range(res.num_alpha-len(dnew_a)-len(closed_mos)):
dnew_a.append(0)