Commit 67068475 authored by Valentin Platzgummer's avatar Valentin Platzgummer
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or-tools added tests added

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# Introduction
This file describes how to install the OR-Tools C++, Java and .Net binary archive.
OR-Tools is located at https://developers.google.com/optimization
These modules have been tested under:
- Ubuntu 14.04, 16.04, 17.10 and 18.04 (64-bit).
- macOS 10.13 High Sierra with Xcode 9.4 (64 bit).
- Microsoft Windows with Visual Studio 2015 and 2017 (64-bit)
Upon decompressing the archive, you will get the following structure:
```
or-tools/
LICENSE-2.0.txt <- Apache 2.0 License
README.md <- This file
Makefile <- Main Makefile for C++,Java and .Net
examples/ <- C++, Java and .Net examples
include/ <- all include files
objs/ <- directory containing C++ compiled object files (*.o)
classes/ <- directory containing Java class files.
packages/ <- directory containing .Net nuget packages.
lib/ <- directory containing libraries and jar files.
bin/ <- directory containing executable files
```
# C++
Running the examples will involve compiling them, then running them.
We have provided a makefile target to help you.
Use Makefile:
```shell
make run SOURCE=examples/cpp/golomb.cc
```
**OR** this is equivalent to compiling and running
`examples/cpp/golomb.cc`.
- on Unix:
```shell
make bin/golomb
./bin/golomb
```
- on Windows:
```shell
make bin\\golomb.exe
bin\\golomb.exe
```
# Java
Running the examples will involve compiling them, then running them.
We have provided a makefile target to help you. You need to have the
java and javac tools accessible from the command line.
Use Makefile:
```shell
make run SOURCE=examples/java/RabbitsPheasants.java
```
**OR** this is equivalent to compiling and running
`examples/java/RabbitsPheasants.java`.
- on Unix:
```shell
javac -d classes/RabbitsPheasants -cp lib/com.google.ortools.jar:lib/protobuf.jar examples/java/RabbitsPheasants.java
jar cvf lib/RabbitsPheasants.jar -C classes/RabbitsPheasants .
java -Djava.library.path=lib -cp lib/RabbitsPheasants.jar:lib/com.google.ortools.jar:lib/protobuf.jar RabbitsPheasants
```
- on Windows:
```shell
javac -d class/RabbitsPheasants -cp lib/com.google.ortools.jar;lib/protobuf.jar examples/java/RabbitsPheasants.java
jar cvf lib/RabbitsPheasants.jar -C classes/RabbitsPheasants .
java -Djava.library.path=lib -cp lib/RabbitPheasants.jar;lib/com.google.ortools.jar;lib/protobuf.jar RabbitsPheasants
```
# .Net
Running the examples will involve compiling them, then running them.
We have provided a makefile target to help you. You need to have the
dotnet/cli tools accessible from the command line.
Use Makefile:
```shell
make run SOURCE=examples/dotnet/csflow.cs
```
**OR** this is equivalent to compiling and running
`examples/dotnet/csflow.cs`.
- on Unix:
```shell
dotnet build examples/dotnet/csflow.csproj
dotnet run --no-build --project examples/dotnet/csflow.csproj
```
- on Windows:
```shell
dotnet build examples\dotnet\csflow.csproj
dotnet run --no-build --project examples\dotnet\csflow.csproj
```
#!/bin/bash
# Copyright (c) 2008, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# ---
# Author: Dave Nicponski
#
# This script is invoked by bash in response to a matching compspec. When
# this happens, bash calls this script using the command shown in the -C
# block of the complete entry, but also appends 3 arguments. They are:
# - The command being used for completion
# - The word being completed
# - The word preceding the completion word.
#
# Here's an example of how you might use this script:
# $ complete -o bashdefault -o default -o nospace -C \
# '/usr/local/bin/gflags_completions.sh --tab_completion_columns $COLUMNS' \
# time env binary_name another_binary [...]
# completion_word_index gets the index of the (N-1)th argument for
# this command line. completion_word gets the actual argument from
# this command line at the (N-1)th position
completion_word_index="$(($# - 1))"
completion_word="${!completion_word_index}"
# TODO(user): Replace this once gflags_completions.cc has
# a bool parameter indicating unambiguously to hijack the process for
# completion purposes.
if [ -z "$completion_word" ]; then
# Until an empty value for the completion word stops being misunderstood
# by binaries, don't actually execute the binary or the process
# won't be hijacked!
exit 0
fi
# binary_index gets the index of the command being completed (which bash
# places in the (N-2)nd position. binary gets the actual command from
# this command line at that (N-2)nd position
binary_index="$(($# - 2))"
binary="${!binary_index}"
# For completions to be universal, we may have setup the compspec to
# trigger on 'harmless pass-through' commands, like 'time' or 'env'.
# If the command being completed is one of those two, we'll need to
# identify the actual command being executed. To do this, we need
# the actual command line that the <TAB> was pressed on. Bash helpfully
# places this in the $COMP_LINE variable.
if [ "$binary" == "time" ] || [ "$binary" == "env" ]; then
# we'll assume that the first 'argument' is actually the
# binary
# TODO(user): This is not perfect - the 'env' command, for instance,
# is allowed to have options between the 'env' and 'the command to
# be executed'. For example, consider:
# $ env FOO="bar" bin/do_something --help<TAB>
# In this case, we'll mistake the FOO="bar" portion as the binary.
# Perhaps we should continuing consuming leading words until we
# either run out of words, or find a word that is a valid file
# marked as executable. I can't think of any reason this wouldn't
# work.
# Break up the 'original command line' (not this script's command line,
# rather the one the <TAB> was pressed on) and find the second word.
parts=( ${COMP_LINE} )
binary=${parts[1]}
fi
# Build the command line to use for completion. Basically it involves
# passing through all the arguments given to this script (except the 3
# that bash added), and appending a '--tab_completion_word "WORD"' to
# the arguments.
params=""
for ((i=1; i<=$(($# - 3)); ++i)); do
params="$params \"${!i}\"";
done
params="$params --tab_completion_word \"$completion_word\""
# TODO(user): Perhaps stash the output in a temporary file somewhere
# in /tmp, and only cat it to stdout if the command returned a success
# code, to prevent false positives
# If we think we have a reasonable command to execute, then execute it
# and hope for the best.
candidate=$(type -p "$binary")
if [ ! -z "$candidate" ]; then
eval "$candidate 2>/dev/null $params"
elif [ -f "$binary" ] && [ -x "$binary" ]; then
eval "$binary 2>/dev/null $params"
fi
# C++ examples
The following examples showcase how to use the different Operations Research libraries.
## Examples list
- Constraint Solver examples:
- cryptarithm.cc Demonstrates the use of basic modeling objects
(integer variables, arithmetic constraints and expressions,
simple search).
- golomb.cc Demonstrates how to handle objective functions and collect
solutions found during the search.
- magic_square.cc Shows how to use the automatic search to solve your
problem.
- costas_array.cc Solves the problem of Costas Array (a constrained
assignment problem used for radars) with two version. On version is
a feasibility version with hard constraints, the other version is
an optimization version with soft constraints and violation costs.
- jobshop.cc Demonstrates scheduling of jobs on different machines.
- jobshop_ls.cc Demonstrates scheduling of jobs on different machines with
a search using Local Search and Large Neighorhood Search.
- nqueens.cc Solves the n-queen problem. It also demonstrates how to break
symmetries during search.
- network_routing.cc Solves a multicommodity mono-routing
problem with capacity constraints and a max usage cost structure.
- sports_scheduling.cc Finds a soccer championship schedule. Its uses an
original approach where all constraints attached to either one team,
or one week are regrouped into one global 'AllowedAssignment' constraints.
- dobble_ls.cc Shows how to write Local Search operators and Local Search
filters in a context of an assignment/partitioning problem. It also
shows how to write a simple constraint.
- Routing examples:
- tsp.cc Travelling Salesman Problem.
- cvrptw.cc Capacitated Vehicle Routing Problem with Time Windows.
- pdptw.cc Pickup and Delivery Problem with Time Windows.
- Graph examples:
- flow_api.cc Demonstrates how to use Min-Cost Flow and Max-Flow api.
- linear_assignment_api.cc Demonstrates how to use the Linear Sum
Assignment solver.
- dimacs_assignment.cc Solves DIMACS challenge on assignment
problems.
- Linear and integer programming examples:
- linear_programming.cc Demonstrates how to use the linear solver
wrapper API to solve Linear Programming problems.
- integer_programming.cc Demonstrates how to use the linear solver
wrapper API to solve Integer Programming problems.
- linear_solver_protocol_buffers.cc Demonstrates how protocol
buffers can be used as input and output to the linear solver wrapper.
- strawberry_fields_with_column_generation.cc Complex example that
demonstrates how to use dynamic column generation to solve a 2D
covering problem.
- Utilities
- model_util.cc A utility to manipulate model files (.cp) dumped by the
solver.
# Execution
Running the examples will involve building them, then running them.
You can run the following command from the **top** directory:
```shell
make build SOURCE=examples/cpp/<example>.cc
make run SOURCE=examples/cpp/<example>.cc
```
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