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Top Forums UNIX for Dummies Questions & Answers assigning (numeric) command output to var tcsh Post 302230938 by psran on Monday 1st of September 2008 04:35:08 AM
Old 09-01-2008
Thanks folks...

Thanks for the really helpful posts.

A combination of writing only ints to standard output from my program and the use of backtics has cracked my problem.

Thanks for spending the time to explain & provide a solution too - much appreciated.
 

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mccs(1) 						       Debian User's Manual							   mccs(1)

NAME
mccs - package dependency solver SYNOPSIS
mccs [options] DESCRIPTION
mccs (which stands for Multi Criteria CUDF Solver) is a solver for package dependency problems expressed in the CUDF format. By default, mccs reads a problem specification from standard input, and writes the solution to standard output. OPTIONS FOR CONTROLLING INPUT
/OUTPUT -i file Read input from file file instead of standard input. -o file Write the solution to file instead of standard output. -fo full solution output -v n set verbosity level to n. -h print this help OPTIONS FOR SELECTING THE SOLVER ENGINE
By default, mccs uses the cbc solving engine. -lpsolve use lpsolve solver -lp lpsolver specify a solving engine that takes the cplex input format. lpsolver is the path of a script that takes as input the file name con- taining the cplex input, and that produces the solution on standard output (an example for scip is given in /usr/share/doc/mccs/engines/sciplp). -pblib pbsolver use pseudo-Boolean solver pbsolver as solving engine. -nosolve do not solve the problem (for debugging) OPTIONS FOR CONTROLLING CONSTRAINT GENERATION
-noreduce do not reduce the initial problem -only-agregate-constraints generate only agregate constraints -only-desagregate-constraints generate only deagregate constraints (default) -all-constraints generate all kind of constraints (ensure redundancy) OPTIONS FOR CONTROLLING OPTIMIZATION
See the file /usr/share/doc/mccs/README.optimization-criteria for a full grammar of optimization criteria. EXAMPLES
An example input file can be found at /usr/share/doc/mccs/examples/legacy.cudf. mccs -i legacy.cudf calls mccs on examples/legacy.cudf and prints the solution on stdout. With such a call mccs will resort to the default underlying solver cbc and use a default criterion to solve the problem. mccs -i legacy.cudf -o sol -lexagregate[-removed,-changed] -lpsolve Here, mccs puts the solution into the file "sol" and solves the problem using the lpsolve solver with the paranoid criterion, which con- sists of first minimizing the number of removed packaged, and then the number of packages that change installation status or installed ver- sion. mccs -i legacy.cudf -o sol -lexsemiagregate[-removed,-notuptodate, -nunsat[recommends:,true],-new] The criterion used here is the trendy criterion, which consists of first minimizing the number of package removals, then to minimize the number of installed packages that are installed in a version older the most recent available version, then to minimize the number of recom- mendations of installed packages that are not satisfied, and finally the number of newly installed packages. AUTHOR
mccs has been written by Claude Michel <cpjm@polytech.unice.fr>. The development of mccs has been partly supported by the European research project Mancoosi. 9 May 2011 mccs(1)
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