RhodeCode

SET(PACKAGE_NAME ${PROJECT_NAME})

SET(PACKAGE_VERSION ${PROJECT_VERSION})

SET(abs_top_srcdir ${PROJECT_SOURCE_DIR})

SET(abs_top_builddir ${PROJECT_BINARY_DIR})

CONFIGURE_FILE(

  ${PROJECT_SOURCE_DIR}/doc/Doxyfile.in

  ${PROJECT_BINARY_DIR}/doc/Doxyfile

  @ONLY

)

IF(DOXYGEN_EXECUTABLE AND PYTHONINTERP_FOUND AND GHOSTSCRIPT_EXECUTABLE)

  FILE(MAKE_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/)

  SET(GHOSTSCRIPT_OPTIONS -dNOPAUSE -dBATCH -q -dEPSCrop -dTextAlphaBits=4 -dGraphicsAlphaBits=4 -sDEVICE=pngalpha)

  ADD_CUSTOM_TARGET(html

    COMMAND ${CMAKE_COMMAND} -E remove_directory gen-images

    COMMAND ${CMAKE_COMMAND} -E make_directory gen-images

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/bipartite_matching.png ${CMAKE_CURRENT_SOURCE_DIR}/images/bipartite_matching.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/bipartite_partitions.png ${CMAKE_CURRENT_SOURCE_DIR}/images/bipartite_partitions.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/connected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/connected_components.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/edge_biconnected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/edge_biconnected_components.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/grid_graph.png ${CMAKE_CURRENT_SOURCE_DIR}/images/grid_graph.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/node_biconnected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/node_biconnected_components.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_0.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_0.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_1.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_1.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_2.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_2.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_3.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_3.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_4.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_4.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/planar.png ${CMAKE_CURRENT_SOURCE_DIR}/images/planar.eps

    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/strongly_connected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/strongly_connected_components.eps

    COMMAND ${CMAKE_COMMAND} -E remove_directory html

    COMMAND ${PYTHON_EXECUTABLE} ${PROJECT_SOURCE_DIR}/scripts/bib2dox.py ${CMAKE_CURRENT_SOURCE_DIR}/references.bib >references.dox

    COMMAND ${DOXYGEN_EXECUTABLE} Doxyfile

    WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}

  )

  SET_TARGET_PROPERTIES(html PROPERTIES PROJECT_LABEL BUILD_DOC)

  IF(UNIX)

    INSTALL(

      DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/

      DESTINATION share/doc/lemon/html

      COMPONENT html_documentation

    )

  ELSEIF(WIN32)

    INSTALL(

      DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/

      DESTINATION doc

      COMPONENT html_documentation

    )

  ENDIF()

ENDIF()

EXTRA_DIST += \

	doc/Doxyfile.in \

	doc/DoxygenLayout.xml \

	doc/coding_style.dox \

	doc/dirs.dox \

	doc/groups.dox \

	doc/lgf.dox \

	doc/license.dox \

	doc/mainpage.dox \

	doc/migration.dox \

	doc/min_cost_flow.dox \

	doc/named-param.dox \

	doc/namespaces.dox \

	doc/html \

	doc/CMakeLists.txt

DOC_EPS_IMAGES18 = \

	grid_graph.eps \

	nodeshape_0.eps \

	nodeshape_1.eps \

	nodeshape_2.eps \

	nodeshape_3.eps \

	nodeshape_4.eps

DOC_EPS_IMAGES27 = \

	bipartite_matching.eps \

	bipartite_partitions.eps \

	connected_components.eps \

	edge_biconnected_components.eps \

	node_biconnected_components.eps \

	planar.eps \

	strongly_connected_components.eps

DOC_EPS_IMAGES = \

	$(DOC_EPS_IMAGES18) \

	$(DOC_EPS_IMAGES27)

DOC_PNG_IMAGES = \

	$(DOC_EPS_IMAGES:%.eps=doc/gen-images/%.png)

EXTRA_DIST += $(DOC_EPS_IMAGES:%=doc/images/%)

doc/html:

	$(MAKE) $(AM_MAKEFLAGS) html

GS_COMMAND=gs -dNOPAUSE -dBATCH -q -dEPSCrop -dTextAlphaBits=4 -dGraphicsAlphaBits=4

$(DOC_EPS_IMAGES18:%.eps=doc/gen-images/%.png): doc/gen-images/%.png: doc/images/%.eps

	-mkdir doc/gen-images

	if test ${gs_found} = yes; then \

	  $(GS_COMMAND) -sDEVICE=pngalpha -r18 -sOutputFile=$@ $<; \

	else \

	  echo; \

	  echo "Ghostscript not found."; \

	  echo; \

	  exit 1; \

	fi

$(DOC_EPS_IMAGES27:%.eps=doc/gen-images/%.png): doc/gen-images/%.png: doc/images/%.eps

	-mkdir doc/gen-images

	if test ${gs_found} = yes; then \

	  $(GS_COMMAND) -sDEVICE=pngalpha -r27 -sOutputFile=$@ $<; \

	else \

	  echo; \

	  echo "Ghostscript not found."; \

	  echo; \

	  exit 1; \

	fi

references.dox: doc/references.bib

	if test ${python_found} = yes; then \

	  cd doc; \

	  python @abs_top_srcdir@/scripts/bib2dox.py @abs_top_builddir@/$< >$@; \

	  cd ..; \

	else \

	  echo; \

	  echo "Python not found."; \

  version of Karp's algorithm \ref dasdan98minmeancycle.

- \ref Howard "Howard"'s policy iteration algorithm

  \ref dasdan98minmeancycle.

In practice, the Howard algorithm proved to be by far the most efficient

one, though the best known theoretical bound on its running time is

exponential.

Both Karp and HartmannOrlin algorithms run in time O(ne) and use space

O(n<sup>2</sup>+e), but the latter one is typically faster due to the

applied early termination scheme.

*/

/**

@defgroup matching Matching Algorithms

@ingroup algs

\brief Algorithms for finding matchings in graphs and bipartite graphs.

This group contains the algorithms for calculating

matchings in graphs and bipartite graphs. The general matching problem is

finding a subset of the edges for which each node has at most one incident

edge.

There are several different algorithms for calculate matchings in

graphs.  The matching problems in bipartite graphs are generally

easier than in general graphs. The goal of the matching optimization

can be finding maximum cardinality, maximum weight or minimum cost

matching. The search can be constrained to find perfect or

maximum cardinality matching.

The matching algorithms implemented in LEMON:

- \ref MaxBipartiteMatching Hopcroft-Karp augmenting path algorithm

  for calculating maximum cardinality matching in bipartite graphs.

- \ref PrBipartiteMatching Push-relabel algorithm

  for calculating maximum cardinality matching in bipartite graphs.

- \ref MaxWeightedBipartiteMatching

  Successive shortest path algorithm for calculating maximum weighted

  matching and maximum weighted bipartite matching in bipartite graphs.

- \ref MinCostMaxBipartiteMatching

  Successive shortest path algorithm for calculating minimum cost maximum

  matching in bipartite graphs.

- \ref MaxMatching Edmond's blossom shrinking algorithm for calculating

  maximum cardinality matching in general graphs.

- \ref MaxWeightedMatching Edmond's blossom shrinking algorithm for calculating

  maximum weighted matching in general graphs.

- \ref MaxWeightedPerfectMatching

  Edmond's blossom shrinking algorithm for calculating maximum weighted

  perfect matching in general graphs.

*/

/**

@defgroup graph_properties Connectivity and Other Graph Properties

@ingroup algs

\brief Algorithms for discovering the graph properties

This group contains the algorithms for discovering the graph properties

like connectivity, bipartiteness, euler property, simplicity etc.

\image html connected_components.png

\image latex connected_components.eps "Connected components" width=\textwidth

*/

/**

@defgroup planar Planarity Embedding and Drawing

@ingroup algs

\brief Algorithms for planarity checking, embedding and drawing

This group contains the algorithms for planarity checking,

embedding and drawing.

\image html planar.png

\image latex planar.eps "Plane graph" width=\textwidth

*/

/**

@defgroup approx Approximation Algorithms

@ingroup algs

\brief Approximation algorithms.

This group contains the approximation and heuristic algorithms

implemented in LEMON.

*/

/**

@defgroup auxalg Auxiliary Algorithms

@ingroup algs

\brief Auxiliary algorithms implemented in LEMON.

This group contains some algorithms implemented in LEMON

in order to make it easier to implement complex algorithms.

*/

/**

@defgroup gen_opt_group General Optimization Tools

\brief This group contains some general optimization frameworks

implemented in LEMON.