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create mode 100644 doc/user/doxygen/figures/med-file-uml.png create mode 100644 doc/user/doxygen/figures/med-loader-adv-classes.png rename {src/MEDOP/doc/sphinx/images => doc/user/doxygen/figures}/medlayers.png (100%) rename {src/MEDOP/doc/sphinx/images => doc/user/doxygen/figures}/medlayers_70pc.png (100%) rename doc/{ => user}/doxygen/figures/mesh_splitted.png (100%) rename doc/{ => user}/doxygen/figures/mesh_unsplitted.png (100%) rename doc/{ => user}/doxygen/figures/polygon_connectivity.png (100%) rename doc/{ => user}/doxygen/figures/polygon_connectivity_small.eps (100%) rename doc/{ => user}/doxygen/figures/polygon_connectivity_small.png (100%) rename doc/{ => user}/doxygen/figures/polyhedron_connectivity.png (100%) rename doc/{ => user}/doxygen/figures/polyhedron_connectivity_small.eps (100%) rename doc/{ => user}/doxygen/figures/polyhedron_connectivity_small.png (100%) rename doc/{ => user}/doxygen/figures/projectionHQ.png (100%) rename doc/{ => user}/doxygen/figures/projectionHQ_600.png (100%) rename doc/{ => user}/doxygen/figures/source_field.png (100%) rename doc/{ => user}/doxygen/figures/source_mesh.png (100%) rename doc/{ => user}/doxygen/figures/target_field.png (100%) rename doc/{ => user}/doxygen/figures/target_mesh.png (100%) rename doc/{ => user}/doxygen/figures/tetra_simplexize_24_48.jpg (100%) rename doc/{ => user}/doxygen/figures/tetra_simplexize_5_6.jpg (100%) rename doc/{ => user}/doxygen/images/head.png (100%) rename doc/{ => user}/doxygen/static/footer.html (100%) rename doc/{ => user}/doxygen/static/header.html.in (100%) rename doc/{ => user}/doxygen/static/salome_extra.css (100%) diff --git a/doc/CMakeLists.txt b/doc/CMakeLists.txt index 9e605c8b2..a7ce86882 100644 --- a/doc/CMakeLists.txt +++ b/doc/CMakeLists.txt @@ -17,6 +17,6 @@ # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com # -ADD_SUBDIRECTORY(salome) -ADD_SUBDIRECTORY(doxygen) - +ADD_SUBDIRECTORY(user) +ADD_SUBDIRECTORY(tutorial) +ADD_SUBDIRECTORY(dev) diff --git a/src/MEDOP/doc/CMakeLists.txt b/doc/dev/CMakeLists.txt similarity index 100% rename from src/MEDOP/doc/CMakeLists.txt rename to doc/dev/CMakeLists.txt diff --git a/src/MEDOP/doc/models/medop.xmi b/doc/dev/models/medop.xmi similarity index 100% rename from src/MEDOP/doc/models/medop.xmi rename to doc/dev/models/medop.xmi diff --git a/src/MEDOP/doc/sphinx/CMakeLists.txt b/doc/dev/sphinx/CMakeLists.txt similarity index 89% rename from src/MEDOP/doc/sphinx/CMakeLists.txt rename to doc/dev/sphinx/CMakeLists.txt index 411eaefdf..7ebd6c6f6 100644 --- a/src/MEDOP/doc/sphinx/CMakeLists.txt +++ b/doc/dev/sphinx/CMakeLists.txt @@ -22,9 +22,9 @@ SALOME_CONFIGURE_FILE(conf.py.in conf.py) SET(_cmd_options -c ${CMAKE_CURRENT_BINARY_DIR} -b html -d doctrees -D latex_paper_size=a4 ${CMAKE_CURRENT_SOURCE_DIR} html) SALOME_GENERATE_ENVIRONMENT_SCRIPT(_cmd env_script "${SPHINX_EXECUTABLE}" "${_cmd_options}") -ADD_CUSTOM_TARGET(html_docs COMMAND ${_cmd}) +ADD_CUSTOM_TARGET(dev_docs ALL COMMAND ${_cmd}) -INSTALL(CODE "EXECUTE_PROCESS(COMMAND \"${CMAKE_COMMAND}\" --build ${PROJECT_BINARY_DIR} --target html_docs)") +#INSTALL(CODE "EXECUTE_PROCESS(COMMAND \"${CMAKE_COMMAND}\" --build ${PROJECT_BINARY_DIR} --target dev_docs)") INSTALL(DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/ DESTINATION ${SALOME_INSTALL_DOC}/dev/MED) SET(make_clean_files html doctrees) diff --git a/src/MEDOP/doc/sphinx/_static/documents/20070105_CEA_VBERGEAUD_GuideutilisateurMEDMEMOIRE.pdf b/doc/dev/sphinx/_static/documents/20070105_CEA_VBERGEAUD_GuideutilisateurMEDMEMOIRE.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20070105_CEA_VBERGEAUD_GuideutilisateurMEDMEMOIRE.pdf rename to doc/dev/sphinx/_static/documents/20070105_CEA_VBERGEAUD_GuideutilisateurMEDMEMOIRE.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20091211_CEA_AGEAY_09-017-RT-A_Normalisation_des_champs_et_des_maillages_pour_le_couplage_de_codes.pdf b/doc/dev/sphinx/_static/documents/20091211_CEA_AGEAY_09-017-RT-A_Normalisation_des_champs_et_des_maillages_pour_le_couplage_de_codes.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20091211_CEA_AGEAY_09-017-RT-A_Normalisation_des_champs_et_des_maillages_pour_le_couplage_de_codes.pdf rename to doc/dev/sphinx/_static/documents/20091211_CEA_AGEAY_09-017-RT-A_Normalisation_des_champs_et_des_maillages_pour_le_couplage_de_codes.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20091218_EDF_VCANO_H-I2C-2009-03595-FR.pdf b/doc/dev/sphinx/_static/documents/20091218_EDF_VCANO_H-I2C-2009-03595-FR.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20091218_EDF_VCANO_H-I2C-2009-03595-FR.pdf rename to doc/dev/sphinx/_static/documents/20091218_EDF_VCANO_H-I2C-2009-03595-FR.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20100129_MAN_seminaireEDF-CEA_all.pdf b/doc/dev/sphinx/_static/documents/20100129_MAN_seminaireEDF-CEA_all.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20100129_MAN_seminaireEDF-CEA_all.pdf rename to doc/dev/sphinx/_static/documents/20100129_MAN_seminaireEDF-CEA_all.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20101027_MAN_revueEDF-CEA.pdf b/doc/dev/sphinx/_static/documents/20101027_MAN_revueEDF-CEA.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20101027_MAN_revueEDF-CEA.pdf rename to doc/dev/sphinx/_static/documents/20101027_MAN_revueEDF-CEA.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20110309_XMED_scan_notes.pdf b/doc/dev/sphinx/_static/documents/20110309_XMED_scan_notes.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20110309_XMED_scan_notes.pdf rename to doc/dev/sphinx/_static/documents/20110309_XMED_scan_notes.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20110309_XMED_scan_remarques_ELORENTZ.pdf b/doc/dev/sphinx/_static/documents/20110309_XMED_scan_remarques_ELORENTZ.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20110309_XMED_scan_remarques_ELORENTZ.pdf rename to doc/dev/sphinx/_static/documents/20110309_XMED_scan_remarques_ELORENTZ.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/20110310_seminaireEDF-CEA_maquetteXMED.pdf b/doc/dev/sphinx/_static/documents/20110310_seminaireEDF-CEA_maquetteXMED.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/20110310_seminaireEDF-CEA_maquetteXMED.pdf rename to doc/dev/sphinx/_static/documents/20110310_seminaireEDF-CEA_maquetteXMED.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/xmed-develguide.pdf b/doc/dev/sphinx/_static/documents/xmed-develguide.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/xmed-develguide.pdf rename to doc/dev/sphinx/_static/documents/xmed-develguide.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/xmed-specifications.pdf b/doc/dev/sphinx/_static/documents/xmed-specifications.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/xmed-specifications.pdf rename to doc/dev/sphinx/_static/documents/xmed-specifications.pdf diff --git a/src/MEDOP/doc/sphinx/_static/documents/xmed-userguide.pdf b/doc/dev/sphinx/_static/documents/xmed-userguide.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/documents/xmed-userguide.pdf rename to doc/dev/sphinx/_static/documents/xmed-userguide.pdf diff --git a/src/MEDOP/doc/sphinx/_static/medop.css b/doc/dev/sphinx/_static/medop.css similarity index 98% rename from src/MEDOP/doc/sphinx/_static/medop.css rename to doc/dev/sphinx/_static/medop.css index 468256166..1d0a878f4 100644 --- a/src/MEDOP/doc/sphinx/_static/medop.css +++ b/doc/dev/sphinx/_static/medop.css @@ -1,4 +1,4 @@ -@import url("default.css"); +@import url("classic.css"); body { font-family: {{ 'Liberation', sans-serif }}; diff --git a/src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_manipulation_de_champs.pdf b/doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_manipulation_de_champs.pdf similarity index 100% rename from src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_manipulation_de_champs.pdf rename to doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_manipulation_de_champs.pdf diff --git a/src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_1.ogv b/doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_1.ogv similarity index 100% rename from src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_1.ogv rename to doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_1.ogv diff --git a/src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_3.ogv b/doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_3.ogv similarity index 100% rename from src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_3.ogv rename to doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_3.ogv diff --git a/src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_4.ogv b/doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_4.ogv similarity index 100% rename from src/MEDOP/doc/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_4.ogv rename to doc/dev/sphinx/_static/presentations/20111115_JUS-2011/20111115_JUS2011_medop_exemple_4.ogv diff --git a/src/MEDOP/doc/sphinx/conf.py.in b/doc/dev/sphinx/conf.py.in similarity index 99% rename from src/MEDOP/doc/sphinx/conf.py.in rename to doc/dev/sphinx/conf.py.in index 9292409b4..bc94c6f51 100644 --- a/src/MEDOP/doc/sphinx/conf.py.in +++ b/doc/dev/sphinx/conf.py.in @@ -103,7 +103,7 @@ pygments_style = 'sphinx' # The theme to use for HTML and HTML Help pages. Major themes that come with # Sphinx are currently 'default' and 'sphinxdoc'. -#html_theme = 'omadoc' +html_theme = 'classic' html_theme_options = { "stickysidebar": "false", "rightsidebar": "false", diff --git a/src/MEDOP/doc/sphinx/fr/images/xmed-gui-withframe.png b/doc/dev/sphinx/fr/images/xmed-gui-withframe.png similarity index 100% rename from src/MEDOP/doc/sphinx/fr/images/xmed-gui-withframe.png rename to doc/dev/sphinx/fr/images/xmed-gui-withframe.png diff --git a/src/MEDOP/doc/sphinx/fr/images/xmed-gui.png b/doc/dev/sphinx/fr/images/xmed-gui.png similarity index 100% rename from src/MEDOP/doc/sphinx/fr/images/xmed-gui.png rename to doc/dev/sphinx/fr/images/xmed-gui.png diff --git a/src/MEDOP/doc/sphinx/fr/index.rst b/doc/dev/sphinx/fr/index.rst similarity index 100% rename from src/MEDOP/doc/sphinx/fr/index.rst rename to doc/dev/sphinx/fr/index.rst diff --git a/src/MEDOP/doc/sphinx/fr/medop-definitions.rst b/doc/dev/sphinx/fr/medop-definitions.rst similarity index 100% rename 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b/doc/dev/sphinx/medop-workingnotes-2011.rst similarity index 100% rename from src/MEDOP/doc/sphinx/medop-workingnotes-2011.rst rename to doc/dev/sphinx/medop-workingnotes-2011.rst diff --git a/src/MEDOP/doc/sphinx/medop-workingnotes-2012.rst b/doc/dev/sphinx/medop-workingnotes-2012.rst similarity index 100% rename from src/MEDOP/doc/sphinx/medop-workingnotes-2012.rst rename to doc/dev/sphinx/medop-workingnotes-2012.rst diff --git a/doc/doxygen/doxfiles/interptools.dox b/doc/doxygen/doxfiles/interptools.dox deleted file mode 100644 index 6dc4fb55d..000000000 --- a/doc/doxygen/doxfiles/interptools.dox +++ /dev/null @@ -1,28 +0,0 @@ -/*! -\page interptools Interpolation algorithms - -\section Presentation -The InterpKernel algorithms are part of the MED tool suite. They -answer to the following basic problem : given a source mesh \f$M_s\f$, a -source field \f$F_s\f$ and a target mesh \f$M_t\f$, reconstruct a field \f$F_t\f$ -that uses \f$M_t\f$ as a support. The InterpKernel suite gives a number of -possibilities to compute the target field, depending on a variety of -user constraints. - -\image html interpolationimage.png "General interpolation scheme" width=10cm - -The starting point for using the tools is the description of the two main different APIs. -- \subpage RemapperClasses "remapper class" and the underlying \subpage interpkernel library for sequential codes using \ref medcoupling fields or other data structures. -- \ref paramedmem for parallel MPI based codes using \c ParaMEDMEM distributed fields, and the algorithms of the \ref interpkernel library. - -The possibilities encompass: -- 1D, 2D lines, 2D (\ref interpolation2D), 3D surfaces(\ref interpolation3Dsurf) and 3D(\ref interpolation3D) handling, -- computation via node localization (\ref pointlocator) or via cell intersection (\ref ConsInterp), -- treatment of extended polygons (where edges can be arcs or segments) -for 2D intersection computations via \subpage interpkernelGeo2D, -- management of fields with P0,P1 or P2 representations. P0<->P0, P1<->P0, P1<->P1 and P2->P0 (non conservative) interpolators are available. - -In case of non \ref MeshOverlap "overlapping meshes", it is important to specify whether the field represents an extensive or intensive physical quantity through -the \ref NatureOfField attribute of the \ref medcoupling field. - -*/ diff --git a/doc/doxygen/doxfiles/intro.dox b/doc/doxygen/doxfiles/intro.dox deleted file mode 100644 index dcbc33de6..000000000 --- a/doc/doxygen/doxfiles/intro.dox +++ /dev/null @@ -1,81 +0,0 @@ -/*! - -\mainpage Introduction - -Simulation studies require the manipulation of meshes and fields for data -pre-processing, in calculation schemes (including chaining and coupling -of codes), or even for results post-processing. - -Corresponding computer codes can be viewed as software components accessing -input meshes and fields (with specific constraints) along with parameters -(datasets), and producing result meshes and fields. Each code presents by -construction the specificities of its discipline. - -The MED module aims at pooling operations on meshes and fields, facilitating -their use by various codes involved in a simulation process. This includes -making codes communicate while preserving as much as possible the integrity of -their content. - -To fulfill its objective, the MED module includes: -- Handling meshes and fields to satisfy code input requirements. -- Extraction of field information to post-process computation results of -a code. -- Projections and serialization to exchange meshes and fields between codes. - -In addition, the MED module offers several interfacing levels; users can thus -benefit from an interaction level adapted to their codes. - -Main services offered by MEDCoupling are: -- Manipulation of fields and their support mesh, serialized with MED format. -- Operations on scalars, vectors, and second order tensors. -- 1D/2D/3D interpolation on nodes, cells, Gauss points and nodes by element. - -MEDCoupling thus considers: -- Data dimension. -- Nature of information on fields, as well as conservation laws. -- Field profiles and mesh connectivity. - - -\image html projectionHQ_600.png -
- -\section contents Contents -This document is organized as follows: -- Recall of some basic \ref glossary about mesh and field manipulation. -- \ref library to manipulate meshes and fields that conform - to the MED data model. This library can be used in C++ programs as - in python script for data processing on meshes and fields. -- Technical presentation of \ref medcoupling that describes DataStructures -used for cross process exchange of meshes and fields. -- Technical presentation of \ref medloader that provides I/O functions to the -MED file format. -- \ref interptools, from theory to practice using MEDCoupling. -- Summary of \ref functionalities "available functionalities". - \if ENABLE_EXAMPLES -- \ref medcouplingpyexamples and tutorials. - \endif -- \ref gui that exhibits some useful functions of the library for a graphical -manipulation of data in standard use cases. -- \ref tools based on MEDLoader that can be used to process MED data files -(conversion tools and splitting tools). - \if ENABLE_EXAMPLES -- \ref medcouplingcppexamples for advanced users. - \endif - - -\section install Installation -The install procedure of the %MED SALOME module can handle a variety of configurations -to suit the needs of its user. Instructions for configuring and -installing the module can be found in \ref paramedmem_install. - - -\section references References -Here follows a list of useful references : - --# \anchor RefManualMedFile Reference Manual for Med File, V. Lefebvre, E. Fayolle, Projet PAL: Définition du modèle d'échange de données MED V2.2, Note technique EDF/SINETICS, HI-26-03-012/A, https://hammi.extra.cea.fr/static/MED/web_med/index.html --# VTK home page: \c http://public.kitware.com/VTK --# Med File Data Model : V. Lefebvre, E. Fayolle, Définition du modèle d'échange de données MED v2.2, https://hammi.extra.cea.fr/static/MED/web_med/pdf/NOTE_HI_26_03_012_A.pdf --# Jeffrey Grandy, Conservative remapping and region overlays by intersecting arbitrary polyhedra, Journal of Computational Physics, vol 148, 433-466 (1999) --# F. Preparata and M. Shamos Computational Geometry. Springer-Verlag, New York, 1985 - -*/ diff --git a/doc/doxygen/doxfiles/library.dox b/doc/doxygen/doxfiles/library.dox deleted file mode 100644 index 867b7a311..000000000 --- a/doc/doxygen/doxfiles/library.dox +++ /dev/null @@ -1,22 +0,0 @@ -/*! -\page library A library of functions for data processing - -The figure below represents the layer structure of the packages of the -library.\n -Each element depends on the blocks it covers (fully or partially).\n -White blocks represent system or external dependencies.\n -MEDCalc block, with gray background color, is the \ref gui "Graphical User Interface". -\n -Red-colored text identifies code with Swig interfaces.\n -Blue-colored text identifies code with both Swig interfaces and CORBA layer. - -\image html MedCoupling_Architecture.png - -The fundamentals (blue background) consists in three atomic libraries: - -- \ref medcoupling that describes DataStructures used for cross process exchange of meshes and fields. -- \ref medloader and ParaMEDLoader that provides I/O functions to the MED file format with sequential and parallel processing, respectively. -- \ref interptools that provides mathematical structures and algorithms for interpolation and - localization. It concerns three blocks: \ref INTERP_KERNEL "InterpKernel", \ref ParaMEDMEM::MEDCouplingRemapper "Remapper" and ParaMEDMEM (Remapper with parallel processing). - -*/ diff --git a/doc/doxygen/doxfiles/medcoupling.dox b/doc/doxygen/doxfiles/medcoupling.dox deleted file mode 100644 index fdbbbe7b3..000000000 --- a/doc/doxygen/doxfiles/medcoupling.dox +++ /dev/null @@ -1,37 +0,0 @@ -/*! -\page medcoupling MEDCoupling - -\section MEDCouplingIntro Introduction - -MEDCoupling is a library (\b libmedcoupling.so or \b medcoupling.dll) fully written in C++ and wrapped to be called in Python too. - -MEDCoupling C++ library implements a data structure which is the result of the following tradeoff : - -- Compliant with coupling : - - Fields definition defined enough to perform well defined interpolation - - exchangeable through process as well in parallel case in SPMD paradigm ( \ref paramedmem "ParaMEDMEM" ), as in distributed paradigm using CORBA. -- minimize as much as possible the number of prerequisites needed to use it ; So MEDCoupling only depends on -\ref interpkernel "INTERP_KERNEL library" -- light enough to be agile in order to : - - maximize the amount of algorithms being applied on it - - to ease implementation of clients of MEDCoupling. -- large enough to be used for MED file I/O. -- compliant with VTK visualization DataStructure -- integrate HPC constraints (compact structures, limitation of copies and launching of CPU consuming algorithms only when absolutely needed ). -- compliant with ICOCO API - -MEDCoupling implements a set of algorithms linked to the data structure. - -\section MEDCouplingMainConc Main Concepts - -Here are listed basic concepts present into MEDCoupling. - -For beginners in MEDCoupling world, it is advisable to read the following concepts in the same order than the underlying list. - -- \subpage MEDCouplingArrayPage "DataArrays" -- \subpage MEDCouplingMeshesPage "Meshes" -- \subpage MEDCouplingFieldsPage "Fields" -- \subpage MEDCouplingFieldTemplatesPage "Field templates" -- \subpage MEDCouplingTimeLabelPage "Time labels" - -*/ diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingMeshes.dox b/doc/doxygen/doxfiles/medcoupling/MEDCouplingMeshes.dox deleted file mode 100644 index 246af144d..000000000 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingMeshes.dox +++ /dev/null @@ -1,35 +0,0 @@ - -/*! - \page MEDCouplingMeshesPage Meshes in MEDCoupling - -\section MEDCouplingMeshes Common concept shared by all type of Meshes in MEDCoupling - -A mesh has the following properties : - -- name -- **a dimension (called mesh dimension) and only one** (it implies that \b all cells constituting -mesh have the same dimension) -- a space dimension (relative to coordinates) -- a number of nodes -- a number of cells - -In MEDCoupling library there is no presence of faces nor edges. - -As a mesh has one dimension and only once, that is to say every cells in -mesh have the same dimension called MeshDimension. - -For example a mesh with a meshDimension equal to 1, have \b cells of type -NORM_SEG2. Another example, a mesh with a meshDimension equal -to 2, have \b cells of type -NORM_TRI3 and NORM_POLYGON for example. - -The class that incarnates the concept described above is : -\ref ParaMEDMEM::MEDCouplingMesh. - -\section MEDCouplingMeshesAvailInstan Available instantiable mesh types in MEDCoupling - -- \subpage MEDCouplingUMeshPage "Unstructured meshes" -- \subpage MEDCouplingCMeshPage "Cartesian meshes" -- \subpage MEDCouplingExtrudedPage "3D Extruded meshes" - -*/ diff --git a/doc/salome/tui/doxyfile.in b/doc/salome/tui/doxyfile.in deleted file mode 100755 index 4e6656bcc..000000000 --- a/doc/salome/tui/doxyfile.in +++ /dev/null @@ -1,264 +0,0 @@ -# Copyright (C) 2007-2015 CEA/DEN, EDF R&D, OPEN CASCADE -# -# Copyright (C) 2003-2007 OPEN CASCADE, EADS/CCR, LIP6, CEA/DEN, -# CEDRAT, EDF R&D, LEG, PRINCIPIA R&D, BUREAU VERITAS -# -# This library is free software; you can redistribute it and/or -# modify it under the terms of the GNU Lesser General Public -# License as published by the Free Software Foundation; either -# version 2.1 of the License, or (at your option) any later version. -# -# This library is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -# Lesser General Public License for more details. -# -# You should have received a copy of the GNU Lesser General Public -# License along with this library; if not, write to the Free Software -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA -# -# See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com -# - -#--------------------------------------------------------------------------- -# Project related configuration options -#--------------------------------------------------------------------------- -PROJECT_NAME = "SALOME MED Module Developer" -PROJECT_NUMBER = -OUTPUT_DIRECTORY = MED -CREATE_SUBDIRS = NO -OUTPUT_LANGUAGE = English -USE_WINDOWS_ENCODING = NO -BRIEF_MEMBER_DESC = YES -REPEAT_BRIEF = YES -ABBREVIATE_BRIEF = -ALWAYS_DETAILED_SEC = NO -INLINE_INHERITED_MEMB = NO -FULL_PATH_NAMES = YES -STRIP_FROM_PATH = @PROJECT_SOURCE_DIR@ @PROJECT_BINARY_DIR@ -STRIP_FROM_INC_PATH = -SHORT_NAMES = NO -JAVADOC_AUTOBRIEF = YES 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a/doc/salome/tui/input/index.doc b/doc/salome/tui/input/index.doc deleted file mode 100644 index 50c09d9e0..000000000 --- a/doc/salome/tui/input/index.doc +++ /dev/null @@ -1,13 +0,0 @@ -/*! \mainpage - -To browse the \b SALOME Med module Developer Documentation, follow the links below or use navigation menu at the top of the page: -
    -
  • Modules - documentation of TUI functionality.
  • -
  • Name Spaces - list of TUI packages and scripts.
  • -
  • Data Structures - list of all data structures and classes with brief descriptions.
  • -
  • Files - list of all files with brief descriptions.
  • -
- -\note Documentation of 3D - part of intersection matrix calculation more or less complete - -*/ \ No newline at end of file diff --git a/doc/salome/tui/static/footer.html b/doc/salome/tui/static/footer.html deleted file mode 100755 index affd43d84..000000000 --- a/doc/salome/tui/static/footer.html +++ /dev/null @@ -1,14 +0,0 @@ - - - - - - diff --git a/doc/salome/tui/static/header.html.in b/doc/salome/tui/static/header.html.in deleted file mode 100755 index 5b289ac9d..000000000 --- a/doc/salome/tui/static/header.html.in +++ /dev/null @@ -1,23 +0,0 @@ - - - - - - - -$projectname: $title -$title - - - -$treeview -$search -$mathjax - -$extrastylesheet - - -
- -
Version: @SALOMEMED_VERSION@
- diff --git a/doc/salome/tui/static/salome_extra.css b/doc/salome/tui/static/salome_extra.css deleted file mode 100644 index 3e8b838a6..000000000 --- a/doc/salome/tui/static/salome_extra.css +++ /dev/null @@ -1,29 +0,0 @@ -/* The extra CSS for doxygen 1.8.3.1 */ - -#titlearea { - background-image:url('head.png'); - background-color: #175783; - border: 1px solid; - height: 80px; - background-repeat: no-repeat; - padding: 0px; - margin: 0px; - width: 99.9%; - border-bottom: 1px solid #5373B4; -} - -div.version { - border:1px solid #0000FF; - color: #CCCCCC; - font-family: Arial, Helvetica, sans-serif; - font-size: 9pt; - text-align: center; - width:100px; - -moz-border-radius: 8px; - margin: 5px; -} - -.navpath li.footer { - line-height:15px; - text-align: right; -} \ No newline at end of file diff --git a/doc/salome/tui/CMakeLists.txt b/doc/tutorial/CMakeLists.txt similarity index 53% rename from doc/salome/tui/CMakeLists.txt rename to doc/tutorial/CMakeLists.txt index 1747e981f..5cc2cb60a 100644 --- a/doc/salome/tui/CMakeLists.txt +++ b/doc/tutorial/CMakeLists.txt @@ -17,16 +17,18 @@ # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com # -SALOME_CONFIGURE_FILE(doxyfile.in doxyfile) -SALOME_CONFIGURE_FILE(static/header.html.in static/header.html) +SALOME_CONFIGURE_FILE(conf.py.in conf.py) -ADD_CUSTOM_TARGET(dev_docs ${DOXYGEN_EXECUTABLE}) +SET(_cmd_options -c ${CMAKE_CURRENT_BINARY_DIR} -b html -d doctrees -D latex_paper_size=a4 ${CMAKE_CURRENT_SOURCE_DIR} html) +SALOME_GENERATE_ENVIRONMENT_SCRIPT(_cmd env_script "${SPHINX_EXECUTABLE}" "${_cmd_options}") -INSTALL(CODE "FILE(MAKE_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/MED)") -INSTALL(DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/MED - DESTINATION ${SALOME_INSTALL_DOC}/tui - PATTERN "*.md5" EXCLUDE - PATTERN "*.map" EXCLUDE) -INSTALL(FILES images/head.png DESTINATION ${SALOME_INSTALL_DOC}/tui/MED) +ADD_CUSTOM_TARGET(tutorial_doc COMMAND ${_cmd}) +ADD_DEPENDENCIES(usr_docs tutorial_doc) -SET_DIRECTORY_PROPERTIES(PROPERTIES ADDITIONAL_MAKE_CLEAN_FILES MED) +#INSTALL(CODE "EXECUTE_PROCESS(COMMAND \"${CMAKE_COMMAND}\" --build ${PROJECT_BINARY_DIR} --target tutorial_doc)") +INSTALL(DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/ DESTINATION ${SALOME_INSTALL_DOC}/gui/MED/tutorial) +INSTALL(DIRECTORY images/ DESTINATION ${SALOME_INSTALL_DOC}/gui/MED/tutorial/images) +INSTALL(DIRECTORY data/ DESTINATION ${SALOME_INSTALL_DOC}/gui/MED/tutorial/data) + +SET(make_clean_files html doctrees) +SET_DIRECTORY_PROPERTIES(PROPERTIES ADDITIONAL_MAKE_CLEAN_FILES "${make_clean_files}") diff --git a/doc/tutorial/atestMEDCouplingCorba1.rst b/doc/tutorial/atestMEDCouplingCorba1.rst new file mode 100644 index 000000000..ceeb689e2 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingCorba1.rst @@ -0,0 +1,37 @@ + +.. _python_testMEDCouplingcorba1_solution: + +Visualiser une instance de MEDCoupling dans ParaViS à travers CORBA +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDCoupling as mc + from MEDCouplingCorba import MEDCouplingUMeshServant + + # Creating a mesh + arr = mc.DataArrayDouble(11) + arr.iota(0) + m = mc.MEDCouplingCMesh() + m.setCoords(arr,arr) + m = m.buildUnstructured() + + # Making it available on the CORBA bus + ref_m = MEDCouplingUMeshServant._this(m) + import CORBA + orb = CORBA.ORB_init() + ior = orb.object_to_string(ref_m) + print ior + + # Displaying it in ParaVis + import salome + salome.salome_init() + print "About to import module 'pvsimple' ..." + import pvsimple as pvs + print "Module 'pvsimple' was imported!" + + # From here, we use the standard ParaView API: + src1 = pvs.ParaMEDCorbaPluginSource() + src1.IORCorba = ior # This is where we need the CORBA reference of the object created + dr = pvs.Show(src1) + \ No newline at end of file diff --git a/doc/tutorial/atestMEDCouplingCube.rst b/doc/tutorial/atestMEDCouplingCube.rst new file mode 100644 index 000000000..a15c0d2fb --- /dev/null +++ b/doc/tutorial/atestMEDCouplingCube.rst @@ -0,0 +1,265 @@ + +.. _python_testMEDCouplingcube_solution: + +3D cube meshing +~~~~~~~~~~~~~~~ + +:: + + from MEDCoupling import * + from MEDLoader import * + import MEDLoaderDataForTest + + from math import * + + # Definition of environnement variables + spaceDimension = 3 + N = 4 + nbOfNodes = N*N*N + nbOfCells = (N-1)*(N-1)*(N-1) + nbOfCells2D = (N-1)*(N-1) + + print "1 ********************" + # Initialisation of coordinates + coordinates = [] + for k in range(N): + for j in range(N): + for i in range(N): + coordinates.append(float(i)) + coordinates.append(float(j)) + coordinates.append(float(k)) + + print "2 ********************" + # Creation of meshing : need following initialisations + # => Definition of the mesh dimension + # => Definition of number of cells + # => Definition of name of meshing + mesh=MEDCouplingUMesh.New() + mesh.setMeshDimension(3) + mesh.allocateCells(nbOfCells+nbOfCells2D) + mesh.setName("3Dcube") + + print "3 ********************" + # One remark : only one dimension cells by meshing + # Construction of volumic meshing + # => Definition of connectivity + # => Definition of type of cells + connectivity = [] + for k in range(N-1): + for j in range(N-1): + for i in range(N-1): + inode = N*N*(k+1)+ N*(j+1)+i + connectivity.append(inode) + connectivity.append(inode-N) + connectivity.append(inode-N+1) + connectivity.append(inode+1) + connectivity.append(inode-N*N) + connectivity.append(inode-N*N-N) + connectivity.append(inode-N*N-N+1) + connectivity.append(inode-N*N+1) + print len(connectivity) + print 8*(nbOfCells) + + print "4 ********************" + # Adding cells in meshing + for i in range(nbOfCells): + mesh.insertNextCell(NORM_HEXA8,8,connectivity[8*i:8*(i+1)]) + pass + mesh.finishInsertingCells() + + print "5 ********************" + # Settings of coordinates and verify if it's OK + myCoords = DataArrayDouble.New() + myCoords.setValues(coordinates,nbOfNodes,3) + mesh.setCoords(myCoords) + mesh.checkCoherency() + + print "6 ********************" + # Extraction of surfacic meshing + pt=[0.,0.,0.] + vec=[0.,0.,1.] + nodes = mesh.findNodesOnPlane(pt,vec,1e-12) + mesh2D = mesh.buildFacePartOfMySelfNode(nodes,True) + #print mesh2D + mesh2D.setName("3Dcube") + mesh2D.checkCoherency() + + print "7 ********************" + # Creation of field : with following definition + # => Definition of the mesh support + # => Definition of field name + # => Definition of field nature + field = MEDCouplingFieldDouble.New(ON_CELLS) + field.setMesh(mesh) + field.setName("field") + field.setNature(Integral) + + # Computing and setting field values + myCoords=DataArrayDouble.New() + sampleTab=[] + bar = mesh.getBarycenterAndOwner() + print bar.getNbOfElems() + for i in range(nbOfCells): + x = bar.getIJ(i+1,1) + y = bar.getIJ(i+1,2) + z = bar.getIJ(i+1,3) + d = sqrt(x*x+y*y+z*z) + sinus = sin(d) + #f.setValueIJ(i+1,1,sin(d)) + sampleTab.append(sinus) + + myCoords.setValues(sampleTab,nbOfCells,1) + field.setArray(myCoords) + + fBF = MEDCouplingFieldDouble.New(ON_CELLS) + fBF.setMesh(mesh2D) + fBF.setName("fieldBottomFace") + fBF.setNature(Integral) + Cval = 10. + myCoords2D=DataArrayDouble.New() + sampleTab=[] + for i in range(nbOfCells2D): + sampleTab.append(Cval) + myCoords2D.setValues(sampleTab,nbOfCells2D,1) + fBF.setArray(myCoords2D) + + medFileName = "MEDCoupling_cube3D.med" + # For note : True / False in Write* functions + # => True : overwriting existing file + # => False : add in existing file + meshes=[mesh2D,mesh] + MEDLoader.WriteUMeshes(medFileName,meshes,True); + MEDLoader.WriteField(medFileName,field,False) + MEDLoader.WriteField(medFileName,fBF,False) + + +:: + + from MEDCoupling import * + from MEDLoader import * + import MEDLoaderDataForTest + + from math import * + + spaceDim3D = 3 + MeshDim2D = 2 + N = 4 + NbCell2D = (N-1)*(N-1) + NbCell3D = NbCell2D*(N-1) + NbNode2D = N*N + NbNode3D = NbNode2D*N + + # Creation of a extruded meshing + # input : a 2D meshing and a 1D meshing + # Creation of 2D meshing + coordinates = [] + for j in range(N): + for i in range(N): + coordinates.append(float(i)) + coordinates.append(float(j)) + Connectivities = [0,4,5,1, 1,5,6,2, 2,6,7,3, 4,8,9,5, 5,9,10,6, 6,10,11,7, 8,12,13,9, 9,13,14,10, 10,14,15,11] + myCoords = DataArrayDouble.New() + myCoords.setValues(coordinates,NbNode2D,MeshDim2D) + + m1 = MEDCouplingUMesh.New() + m1.setMeshDimension(MeshDim2D) + m1.allocateCells(NbCell2D) + m1.setCoords(myCoords) + m1.setName("2D_Support") + + for i in range(NbCell2D): + m1.insertNextCell(NORM_QUAD4,4,Connectivities[4*i:4*(i+1)]) + m1.finishInsertingCells() + m1.changeSpaceDimension(3) + + # Creation of 1D meshing + coords = [ 0.0, 1.0, 2.0, 3.0 ] + conn = [ 0,1, 1,2, 2,3 ] + m2 = MEDCouplingUMesh.New() + m2.setMeshDimension(1) + m2.allocateCells(3) + m2.insertNextCell(NORM_SEG2,2,conn[0:2]) + m2.insertNextCell(NORM_SEG2,2,conn[2:4]) + m2.insertNextCell(NORM_SEG2,2,conn[4:6]) + m2.finishInsertingCells() + myCoords1D=DataArrayDouble.New() + myCoords1D.setValues(coords,4,1) + m2.setCoords(myCoords1D) + m2.changeSpaceDimension(3) + + # Construction of extruded meshing + center = [0.,0.,0.] + vector = [0.,1.,0.] + m2.rotate(center,vector,pi/2.) + m3 = m1.buildExtrudedMesh(m2,0) + m3.setName("Extrusion") + + # Construction of group : old fashion mode + part=[1] + meshGroup=m3.buildPartOfMySelf(part,True); + meshGroup.setName("meshGroup"); + + medFileName = "MEDCoupling_Extrudedcube3D.med" + MEDLoader.WriteUMeshesPartition(medFileName,"Extrusion",[m3,meshGroup],True) + + +:: + + from MEDCoupling import * + from MEDLoader import * + import MEDLoaderDataForTest + + from math import * + + spaceDim3D = 3 + MeshDim2D = 2 + N = 4 + NbCell2D = (N-1)*(N-1) + NbCell3D = NbCell2D*(N-1) + NbNode2D = N*N + NbNode3D = NbNode2D*N + + # Creation of a grid => Structured mesh + # Need directions definition + mesh=MEDCouplingCMesh.New() + coordsX=DataArrayDouble.New() + arrX=[ 0., 1., 2., 3. ] + coordsX.setValues(arrX,4,1) + coordsY=DataArrayDouble.New() + arrY=[ 0., 1., 2., 3. ] + coordsY.setValues(arrY,4,1) + coordsZ=DataArrayDouble.New() + arrZ=[ 0., 1., 2., 3. ] + coordsZ.setValues(arrZ,4,1) + mesh.setCoords(coordsX,coordsY,coordsZ) + # Passing structured meshing to unstructured + # necessary to save meshing + meshU=mesh.buildUnstructured() + meshU.setName("Grid") + + # Creation of group : fashion mode + # if ids cells are known, this step is not to be made + pt=[1] + m2 = meshU.buildPartOfMySelf(pt,True); + ret,tabIdCells = meshU.areCellsIncludedIn(m2,0) + print ret + print tabIdCells + # Definition of the name group + tabIdCells.setName("meshGroup") + + # Passing MEDCoupling to MEDFile + fmeshU = MEDFileUMesh.New() + fmeshU.setName("Grid") + fmeshU.setDescription("IHopeToConvinceLastMEDMEMUsers") + myCoords = meshU.getCoords() + print myCoords + fmeshU.setCoords(myCoords) + print "**************************" + fmeshU.setMeshAtLevel(0,meshU) + print "**************************" + fmeshU.setGroupsAtLevel(0,[tabIdCells],False) + print "**************************" + + medFileName = "MEDCoupling_Gridcube3D.med" + fmeshU.write(medFileName,2) + diff --git a/doc/tutorial/atestMEDCouplingDataArray1.rst b/doc/tutorial/atestMEDCouplingDataArray1.rst new file mode 100644 index 000000000..f35e47858 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingDataArray1.rst @@ -0,0 +1,64 @@ + +.. _python_testMEDCouplingdataarray1_solution: + +Playing with regular hexagons using DataArrayDouble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDCoupling as mc + import math + # Building the coordinates of the initial hexagon, centered at 0,0 + d = mc.DataArrayDouble(6,2) + d[:,0] = 3. + d[:,1] = range(6) + d[:,1] *= math.pi/3. + d = d.fromPolarToCart() + d.setInfoOnComponents(["X [m]","Y [m]"]) + print d.getValues() + print d + print "Uniform array?", d.magnitude().isUniform(3.,1e-12) + # Translating the 7 hexagons with a translation + radius = 3. + translationToPerform = [[0.,0.],[3./2.*radius,-radius*math.sqrt(3.)/2],[3./2.*radius,radius*math.sqrt(3.)/2],[0.,radius*math.sqrt(3.)],[-3./2.*radius,radius*math.sqrt(3.)/2],[-3./2.*radius,-radius*math.sqrt(3.)/2],[0.,-radius*math.sqrt(3.)]] + ds = len(translationToPerform)*[None] + for pos,t in enumerate(translationToPerform): + ds[pos] = d[:] # Perform a deep copy of d and place it at position 'pos' in ds + ds[pos] += t # Adding a vector to a set of coordinates does a translation + pass + # Identifying duplicate tuples + d2 = mc.DataArrayDouble.Aggregate(ds) + oldNbOfTuples = d2.getNumberOfTuples() + c,cI = d2.findCommonTuples(1e-12) + tmp = c[cI[0]:cI[0+1]] + print tmp + a = cI.deltaShiftIndex() + b = a - 1 + myNewNbOfTuples = oldNbOfTuples - sum(b.getValues()) + o2n, newNbOfTuples = mc.DataArrayInt.BuildOld2NewArrayFromSurjectiveFormat2(oldNbOfTuples,c,cI) + print "Have I got the right number of tuples?" + print "myNewNbOfTuples = %d, newNbOfTuples = %d" % (myNewNbOfTuples, newNbOfTuples) + assert(myNewNbOfTuples == newNbOfTuples) + # Extracting the unique set of tuples + d3 = d2.renumberAndReduce(o2n, newNbOfTuples) + n2o = o2n.invertArrayO2N2N2O(newNbOfTuples) + d3_bis = d2[n2o] + print "Are d3 and d3_bis equal ? %s" % (str(d3.isEqual(d3_bis, 1e-12))) + # Now translate everything + d3 += [3.3,4.4] + # And build an unstructured mesh representing the final pattern + m = mc.MEDCouplingUMesh("My7hexagons",2) + m.setCoords(d3) + print "Mesh dimension is", m.getMeshDimension() + print "Spatial dimension is", m.getCoords().getNumberOfComponents() + m.allocateCells(7) + for i in xrange(7): + cell_connec = o2n[6*i:6*(i+1)] + m.insertNextCell(mc.NORM_POLYGON, cell_connec.getValues()) + pass + m.finishInsertingCells() + # Check that everything is coherent (will throw if not) + m.checkCoherency() + # Write the result into a VTU file that can be read with ParaView + m.writeVTK("My7hexagons.vtu") + diff --git a/doc/tutorial/atestMEDCouplingFieldDouble1.rst b/doc/tutorial/atestMEDCouplingFieldDouble1.rst new file mode 100644 index 000000000..1cf20c922 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingFieldDouble1.rst @@ -0,0 +1,74 @@ + +.. _python_testMEDCouplingfielddouble1_solution: + +Playing with fields +~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDCoupling as mc + + # Create an unstructured mesh from a Cartesian one + xarr = mc.DataArrayDouble.New(11,1) + xarr.iota(0.) + cmesh = mc.MEDCouplingCMesh.New() + cmesh.setCoords(xarr,xarr,xarr) + mesh = cmesh.buildUnstructured() + mesh.convertToPolyTypes(mc.DataArrayInt.Range(0,mesh.getNumberOfCells(),2)) + # Create a field + f = mesh.fillFromAnalytic(mc.ON_CELLS,1,"(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)") # 1 means that the field should have one component + f.setName("MyField") + # A variant: + f2 = mc.MEDCouplingFieldDouble(mc.ON_CELLS, mc.ONE_TIME) + f2.setMesh(mesh) + f2.setName("MyField2") + f2.fillFromAnalytic(1,"(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)") # 1 means that the field should have one component + print "Are f and f2 equal?", f.isEqualWithoutConsideringStr(f2,1e-12,1e-12) + # + da1 = f.getArray() # a DataArrayDouble, which is a direct reference (not a copy) of the field's values + ids1 = da1.getIdsInRange(0.,5.) + fPart1 = f.buildSubPart(ids1) + fPart1.writeVTK("ExoField_fPart1.vtu") + ids2 = f.getArray().getIdsInRange(50.,1.e300) + fPart2 = f.buildSubPart(ids2) + # Renumbering cells to follow MED file rules + fPart1Cpy = fPart1.deepCpy() + o2n = fPart1Cpy.getMesh().sortCellsInMEDFileFrmt() + fPart1Cpy.getArray().renumberInPlace(o2n) + # Check that fPart1Cpy and fPart1 are the same + fPart1Cpy.substractInPlaceDM(fPart1,12,1e-12) + fPart1Cpy.getArray().abs() + print "Are the fields equal?", (fPart1Cpy.getArray().accumulate()[0]<1e-12) + # Aggregate fields + fPart12 = mc.MEDCouplingFieldDouble.MergeFields([fPart1,fPart2]) + fPart12.writeVTK("ExoField_fPart12.vtu") + # Evaluation on points + bary = fPart12.getMesh().getBarycenterAndOwner() + arr1 = fPart12.getValueOnMulti(bary) + arr2 = f.getValueOnMulti(bary) + delta = arr1-arr2 + delta.abs() + print "Is field evaluation matching?", (delta.accumulate()[0]<1e-12) + # Integral computations + integ1 = fPart12.integral(0,True) + integ1_bis = fPart12.getArray().accumulate()[0] + print "First integral matching ?", ( abs(integ1 - integ1_bis) < 1e-8 ) + fPart12.getMesh().scale([0.,0.,0.], 1.2) + integ2 = fPart12.integral(0,True) + print "Second integral matching ?", ( abs(integ2-integ1_bis*1.2*1.2*1.2) < 1e-8 ) + # Explosion of field + fVec = mesh.fillFromAnalytic(mc.ON_CELLS,3,"(x-5.)*IVec+(y-5.)*JVec+(z-5.)*KVec") + fVecPart1 = fVec.buildSubPart(ids1) + fVecPart1.setName("fVecPart1") + cells = fPart1.getMesh().getNumberOfCells() * [None] + for icell,vec in enumerate(fVecPart1.getArray()): + m = fPart1.getMesh()[[icell]] + m.zipCoords() # Not mandatory but saves memory + m.translate(vec) + cells[icell] = m + pass + meshFVecPart1Exploded = mc.MEDCouplingUMesh.MergeUMeshes(cells) + fPart1.setMesh(meshFVecPart1Exploded) + fPart1.writeVTK("ExoField_fPart1_explo.vtu") + + diff --git a/doc/tutorial/atestMEDCouplingLoaderEx1.rst b/doc/tutorial/atestMEDCouplingLoaderEx1.rst new file mode 100644 index 000000000..2057adcaf --- /dev/null +++ b/doc/tutorial/atestMEDCouplingLoaderEx1.rst @@ -0,0 +1,124 @@ + +.. _python_testmedcouplingloaderex1_solution: + +Agitateur - Swirler +~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDLoader as ml + import numpy as np + + # Get available time steps + data = ml.MEDFileData("agitateur.med") + ts = data.getFields()[0].getTimeSteps() + print ts + # Get position of the swirler + fMts = data.getFields()["DISTANCE_INTERFACE_ELEM_BODY_ELEM_DOM"] + f1ts = fMts[(2,-1)] + fMc = f1ts.getFieldAtLevel(ml.ON_CELLS,0) + arr = fMc.getArray() + arr.getMinMaxPerComponent() # just to see the field variation range per component + ids = arr.getIdsInRange(0.,1.) + f2Mc = fMc[ids] + # Extract pression field on the swirler + pressMts = data.getFields()["PRESSION_ELEM_DOM"] + press1ts = pressMts[(2,-1)] + pressMc = press1ts.getFieldAtLevel(ml.ON_CELLS,0) + pressOnAgitateurMc = pressMc[ids] + # + pressOnAgitateurMc.getMesh().zipCoords() + # Compute pressure on skin + agitateurMesh3DMc = pressOnAgitateurMc.getMesh() + m3DSurf,desc,descI,revDesc,revDescI = agitateurMesh3DMc.buildDescendingConnectivity() + nbOf3DCellSharing = revDescI.deltaShiftIndex() + ids2 = nbOf3DCellSharing.getIdsEqual(1) + agitateurSkinMc = m3DSurf[ids2] + offsetsOfTupleIdsInField = revDescI[ids2] + tupleIdsInField = revDesc[offsetsOfTupleIdsInField] + pressOnSkinAgitateurMc = pressOnAgitateurMc[tupleIdsInField] + pressOnSkinAgitateurMc.setMesh(agitateurSkinMc) + # Force field computation + pressSkin = pressOnSkinAgitateurMc.getArray() + pressSkin *= 1e5 # conversion from bar to Pa + areaSkin = agitateurSkinMc.getMeasureField(True).getArray() + forceSkin = pressSkin*areaSkin + normalSkin = agitateurSkinMc.buildOrthogonalField().getArray() + forceVectSkin = forceSkin*normalSkin + # Torque computation + singlePolyhedron = agitateurMesh3DMc.buildSpreadZonesWithPoly() + singlePolyhedron.orientCorrectlyPolyhedrons() + centerOfMass = singlePolyhedron.getBarycenterAndOwner() + + barySkin=agitateurSkinMc.getBarycenterAndOwner() + posSkin = barySkin-centerOfMass + + torquePerCellOnSkin = ml.DataArrayDouble.CrossProduct(posSkin,forceVectSkin) + + zeTorque = torquePerCellOnSkin.accumulate() + print "couple = %r N.m" % zeTorque[2] + # Power computation + speedMts = data.getFields()["VITESSE_ELEM_DOM"] + speed1ts = speedMts[(2,-1)] + speedMc = speed1ts.getFieldAtLevel(ml.ON_CELLS,0) + speedOnSkin = speedMc.getArray()[tupleIdsInField] + powerSkin = ml.DataArrayDouble.Dot(forceVectSkin,speedOnSkin) + power = powerSkin.accumulate()[0] + print "power = %r W"%(power) + # Eigen vector computation + x2 = posSkin[:,0]*posSkin[:,0] + x2 = x2.accumulate()[0] + y2 = posSkin[:,1]*posSkin[:,1] + y2 = y2.accumulate()[0] + xy = posSkin[:,0]*posSkin[:,1] + xy = xy.accumulate()[0] + inertiaSkin = np.matrix([[x2,xy],[xy,y2]]) + inertiaSkinValues, inertiaSkinVects = np.linalg.eig(inertiaSkin) + pos = max(enumerate(inertiaSkinValues), key=lambda x: x[1])[0] + vect0 = inertiaSkinVects[pos].tolist()[0] + print vect0 + + def computeAngle(locAgitateur1ts): + fMc = locAgitateur1ts.getFieldAtLevel(ml.ON_CELLS,0) + arr = fMc.getArray() + ids = arr.getIdsInRange(0.,1.) + f2Mc = fMc[ids] + m3DSurf,desc,descI,revDesc,revDescI = f2Mc.getMesh().buildDescendingConnectivity() + nbOf3DCellSharing = revDescI.deltaShiftIndex() + ids2 = nbOf3DCellSharing.getIdsEqual(1) + agitateurSkinMc = m3DSurf[ids2] + # + singlePolyhedron = agitateurMesh3DMc.buildSpreadZonesWithPoly() + singlePolyhedron.orientCorrectlyPolyhedrons() + centerOfMass = singlePolyhedron.getBarycenterAndOwner() + bary = agitateurSkinMc.getBarycenterAndOwner() + posSkin = bary-centerOfMass + x2=posSkin[:,0]*posSkin[:,0] ; x2=x2.accumulate()[0] + y2=posSkin[:,1]*posSkin[:,1] ; y2=y2.accumulate()[0] + xy=posSkin[:,0]*posSkin[:,1] ; xy=xy.accumulate()[0] + inertiaSkin = np.matrix([[x2,xy],[xy,y2]]) + inertiaSkinValues,inertiaSkinVects = np.linalg.eig(inertiaSkin) + pos = max(enumerate(inertiaSkinValues), key=lambda x: x[1])[0] + vect0 = inertiaSkinVects[pos].tolist()[0] + return vect0 + + vects = len(ts)*[None] + for itts,locAgitateur1ts in zip(ts,data.getFields()["DISTANCE_INTERFACE_ELEM_BODY_ELEM_DOM"]): + angle = computeAngle(locAgitateur1ts) + vects[itts[0]] = angle + pass + + from math import acos, sqrt + angle2 = len(ts)*[0.] + for pos in xrange(2,len(vects)): + norm1 = sqrt(vects[pos-1][0]*vects[pos-1][0]+vects[pos-1][1]*vects[pos-1][1]) + norm2 = sqrt(vects[pos][0]*vects[pos][0]+vects[pos][1]*vects[pos][1]) + crs = vects[pos-1][0]*vects[pos][0]+vects[pos-1][1]*vects[pos][1] + crs /= norm1 ; crs /= norm2 ; crs = min(crs,1.) + angle2[pos] = acos(crs) #/(ts[pos][2]-ts[pos-1][2]) + pass + + omega=sum(angle2)/(ts[-1][2]-ts[0][2]) + print sum(angle2) + + print "At timestep (%d,%d) (physical time=%r s) the torque is: %r N.m, power/omega=%r N.m " % (ts[2][0],ts[2][1],ts[2][2],zeTorque[2],power/omega) diff --git a/doc/tutorial/atestMEDCouplingLoaderEx2.rst b/doc/tutorial/atestMEDCouplingLoaderEx2.rst new file mode 100644 index 000000000..3ea615ab9 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingLoaderEx2.rst @@ -0,0 +1,115 @@ + +.. _python_testmedcouplingloaderex2_solution: + +Intersection géométrique de maillages +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDLoader as ml + + def displayVTK(m,fname): + tmp = m.deepCpy() + tmp.tessellate2D(0.1) + tmp.writeVTK(fname) + return + + # Read and clean Fixe.med + fixe = ml.MEDFileMesh.New("Fixe.med") + fixm = fixe.getMeshAtLevel(0) + print "Nb of nodes in the file : %i " % (fixm.getNumberOfNodes()) + fixm.mergeNodes(1e-10) + print "Nb of non duplicated nodes : %i" % (fixm.getNumberOfNodes()) + # Read and clean Mobile.med + mobile = ml.MEDFileMesh.New("Mobile.med") + mobm = mobile.getMeshAtLevel(0) + mobm.mergeNodes(1e-10) + # Visualize fixm and mobm with PARAVIEW + fixm2 = fixm.deepCpy() # tessellate2D() modifies the current mesh + fixm2.tessellate2D(0.1) + fixm2.writeVTK("fixm2.vtu") + mobm2 = mobm.deepCpy() + mobm2.tessellate2D(0.1) + mobm2.writeVTK("mobm2.vtu") + # mobm2 is in several pieces, take the first one + zonesInMobm = mobm.partitionBySpreadZone() + print "Nb of zones in mobm : %i" % (len(zonesInMobm)) + zone1Mobm = mobm[zonesInMobm[0]] + zone1Mobm.zipCoords() + displayVTK(zone1Mobm, "zone1Mobm.vtu") + # Get cell ids from the fix part in the boudning box of zone1Mobm + ids2 = fixm.getCellsInBoundingBox(zone1Mobm.getBoundingBox(),1e-10) + partFixm = fixm[ids2] + partFixm.zipCoords() + displayVTK(partFixm,"partFixm.vtu") + # Intersect partFixm with zone1Mobm + partFixMob, iPart, iMob = ml.MEDCouplingUMesh.Intersect2DMeshes(partFixm,zone1Mobm,1e-10) + partFixMob.mergeNodes(1e-10) + # Get the part of partFixm not included in zone1Mobm using partFixMob + ids3 = iMob.getIdsEqual(-1) + partFixmWithoutZone1Mobm = partFixMob[ids3] + displayVTK(partFixmWithoutZone1Mobm,"partFixmWithoutZone1Mobm.vtu") + # Check that intersection worked properly + # Check #0 + areaPartFixm = partFixm.getMeasureField(ml.ON_CELLS).getArray() + areaPartFixm.abs() + areaPartFixMob = partFixMob.getMeasureField(ml.ON_CELLS).getArray() + areaPartFixMob.abs() + val1=areaPartFixm.accumulate()[0] + val2=areaPartFixMob.accumulate()[0] + print "Check #0 %lf == %lf with precision 1e-8? %s" % (val1,val2,str(abs(val1-val2)<1e-8)) + # Check #1 + areaZone1Mobm = zone1Mobm.getMeasureField(ml.ON_CELLS).getArray() + areaZone1Mobm.abs() + val3 = areaZone1Mobm.accumulate()[0] + ids4 = iMob.getIdsNotEqual(-1) + areaPartFixMob2 = areaPartFixMob[ids4] + val4 = areaPartFixMob2.accumulate()[0] + print "Check #1 %lf == %lf with precision 1e-8 ? %s" % (val3,val4,str(abs(val3-val4)<1e-8)) + # Check #2 + isCheck2OK = True + for icell in xrange(partFixm.getNumberOfCells()): + ids5 = iPart.getIdsEqual(icell) + areaOfCells = areaPartFixMob[ids5] + areaOfCells.abs() + if abs(areaOfCells.accumulate()[0] - areaPartFixm[icell]) > 1e-9: + isCheck2OK = False + pass + pass + print "Check #2? %s" % (str(isCheck2OK)) + # Indicator field creation + f = ml.MEDCouplingFieldDouble(ml.ON_CELLS,ml.ONE_TIME) + m = partFixMob.deepCpy() + m.tessellate2D(0.1) + f.setMesh(m) + arr = ml.DataArrayDouble(partFixMob.getNumberOfCells(),1) + arr[iMob.getIdsEqual(-1)] = 0. + arr[iMob.getIdsNotEqual(-1)] = 1. + f.setArray(arr) + f.checkCoherency() + f.setName("Zone") + ml.MEDCouplingFieldDouble.WriteVTK("Zone.vtu",[f]) + # Other zones + zonesMobm = ml.MEDCouplingUMesh.MergeUMeshesOnSameCoords([mobm[zonesInMobm[0]], mobm[zonesInMobm[1]], mobm[zonesInMobm[5]]]) + zonesMobm.zipCoords() + partFixMob2,iPart2,iMob2 = ml.MEDCouplingUMesh.Intersect2DMeshes(partFixm,zonesMobm,1e-10) + partFixMob2.mergeNodes(1e-10) + f2 = ml.MEDCouplingFieldDouble(ml.ON_CELLS, ml.ONE_TIME) + m2 = partFixMob2.deepCpy() + m2.tessellate2D(0.1) + f2.setMesh(m2) + arr = ml.DataArrayDouble(partFixMob2.getNumberOfCells(),1) + arr[iMob2.getIdsEqual(-1)]=0. + st = 0 + end = st + len(zonesInMobm[0]) + arr[iMob2.getIdsInRange(st,end)] = 1. + st += len(zonesInMobm[0]) ; + end = st + len(zonesInMobm[1]) + arr[iMob2.getIdsInRange(st,end)] = 2. + st += len(zonesInMobm[1]) + end = st + len(zonesInMobm[2]) + arr[iMob2.getIdsInRange(st,end)] = 3. + f2.setArray(arr) + f2.checkCoherency() + f2.setName("Zone2") + ml.MEDCouplingFieldDouble.WriteVTK("Zone2.vtu",[f2]) diff --git a/doc/tutorial/atestMEDCouplingNumPy.rst b/doc/tutorial/atestMEDCouplingNumPy.rst new file mode 100644 index 000000000..c3641f1a5 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingNumPy.rst @@ -0,0 +1,78 @@ + +.. _python_testMEDCouplingNumPy_solution: + +Playing with NumPy and SciPy +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDCoupling as mc + + # + # NumPy + # + import numpy as np + + # Checking NumPy binding + assert(mc.MEDCouplingHasNumPyBindings()) + # Playing with conversion and shared data + arr = mc.DataArrayDouble(12) + arr[:] = 4. + nparr = arr.toNumPyArray() + print nparr.__repr__() + print nparr.tolist() + nparr[::2] = 7. + print nparr.__repr__() + print arr.__repr__() + del arr + import gc; gc.collect() # Make sure the object has been deleted + print nparr.__repr__() + arr2 = mc.DataArrayDouble(nparr) + print arr2.__repr__() + nparr[:] = 5. + print nparr.__repr__() + print arr2.__repr__() + # Writing to file + f = open("toto.data","w+b") + a = np.memmap(f,dtype='float64',mode='w+',offset=0,shape=nparr.shape) + a[:] = nparr[:] + f.flush() + # Re-reading file + f2 = open("toto.data","r+b") + b = np.memmap(f2,dtype='float64',mode='r',offset=0,shape=(12,)) + a[:] = 3.14 + f.flush() + b = np.memmap(f2,dtype='float64',mode='r',offset=0,shape=(12,)) + print b.__repr__() + # + # SciPy + # + assert(mc.MEDCouplingHasSciPyBindings()) + c1 = mc.MEDCouplingCMesh() + arr1 = mc.DataArrayDouble(7) + arr1.iota() + c1.setCoords(arr1,arr1,arr1) + c2 = mc.MEDCouplingCMesh() + arr2 = mc.DataArrayDouble(9) + arr2.iota() + arr2 *= 6./8. + c2.setCoords(arr2,arr2,arr2) + c1 = c1.buildUnstructured() + c2 = c2.buildUnstructured() + c2.translate([6.,0.,0.]) + c = mc.MEDCouplingUMesh.MergeUMeshes([c1,c2]) + c.mergeNodes(1e-12) + skinAndNCFaces = c.computeSkin() + skinAndNCFaces.zipCoords() + # Isolating non conform cells + from MEDCouplingRemapper import MEDCouplingRemapper + rem = MEDCouplingRemapper() + rem.setMaxDistance3DSurfIntersect(1e-12) + rem.setMinDotBtwPlane3DSurfIntersect(0.99) + rem.prepare(skinAndNCFaces,skinAndNCFaces,"P0P0") + mat = rem.getCrudeCSRMatrix() + indptr = mc.DataArrayInt(mat.indptr) + indptr2 = indptr.deltaShiftIndex() + cellIdsOfSkin = indptr2.getIdsEqual(1) + skin = skinAndNCFaces[cellIdsOfSkin] + skin.writeVTK("skin.vtu") diff --git a/doc/tutorial/atestMEDCouplingPoly.rst b/doc/tutorial/atestMEDCouplingPoly.rst new file mode 100644 index 000000000..cfbee5d62 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingPoly.rst @@ -0,0 +1,98 @@ + +.. _python_testMEDCoupling2D_solution: + +2D polygons meshing +~~~~~~~~~~~~~~~~~~~ + +:: + + from MEDCoupling import * + from MEDLoader import * + + from math import * + + numberOfNodes = 25 + numberOfCells = 12 + + print "1 ********************" + spaceDimension = 2 + + # Coordinates of central polygon + X = [1.,0.5,-0.5,-1.,-0.5,0.5] + Y = [0.,sqrt(3.)/2.,sqrt(3.)/2.,0.,-sqrt(3.)/2.,-sqrt(3.)/2.] + + coordinates = [] + # origin + coordinates.append(0.) + coordinates.append(0.) + + # central polygon + for i in range(6): + coordinates.append(X[i]) + coordinates.append(Y[i]) + + # Coordinates of second couron + xc = 1.5 + yc = - sqrt(3.)/2. + d = sqrt(xc*xc+yc*yc) + a30 = pi/6.0 + a60 = pi/3.0 + + for i in range(6): + angle = a30+a60*i + xtmp = d*cos(angle) + ytmp = d*sin(angle) + start = (i-1)%6 + coordinates.append(xtmp+X[(i-1)%6]) + coordinates.append(ytmp+Y[(i-1)%6]) + coordinates.append(xtmp+X[i%6]) + coordinates.append(ytmp+Y[i%6]) + coordinates.append(xtmp+X[(i+1)%6]) + coordinates.append(ytmp+Y[(i+1)%6]) + + print "2 ********************" + # Creation of mesh + mesh=MEDCouplingUMesh.New() + mesh.setMeshDimension(2) + mesh.allocateCells(numberOfCells) + mesh.setName("MaFleur") + + myCoords=DataArrayDouble.New() + myCoords.setValues(coordinates,numberOfNodes,2) + mesh.setCoords(myCoords) + + print "3 ********************" + # Connectivity of triangular meshing + connectivity = [] + for i in range(6): + connectivity.append(0) + connectivity.append(i%6+1) + connectivity.append((i+1)%6+1) + for i in range(6): + mesh.insertNextCell(NORM_TRI3,3,connectivity[3*i:3*(i+1)]) + pass + + print "4 ********************" + # Connectivity of hexagons + connectivity = [] + for i in range(6): + start = i%6+1 + connectivity.append(start) + connectivity.append(start+2*(i+3)) + connectivity.append(start+2*(i+3)+1) + connectivity.append(start+2*(i+3)+2) + if i==5: + connectivity.append(7) + else: + connectivity.append(start+2*(i+3)+3) + connectivity.append((i+1)%6+1) + for i in range(6): + mesh.insertNextCell(NORM_POLYGON,6,connectivity[6*i:6*(i+1)]) + pass + mesh.finishInsertingCells() + + print "5 ********************" + mesh.checkCoherency() + + medFileName = "MEDCoupling_Fleur.med" + MEDLoader.WriteUMesh(medFileName,mesh,True) diff --git a/doc/tutorial/atestMEDCouplingRead.rst b/doc/tutorial/atestMEDCouplingRead.rst new file mode 100644 index 000000000..c0f4c476e --- /dev/null +++ b/doc/tutorial/atestMEDCouplingRead.rst @@ -0,0 +1,47 @@ + +.. _python_testMEDCouplingRead_solution: + +Read med File +~~~~~~~~~~~~~~~~~~~ + +:: + + from MEDCoupling import * + from MEDLoader import * + + + medFileName = "MEDCoupling_cube3D.med" + MeshName = "3Dcube" + FieldName = "field" + Field2DName = "fieldBottomFace" + + # Retrieving meshes + mesh3D = MEDLoader.ReadUMeshFromFile(medFileName,MeshName,0) + mesh2D = MEDLoader.ReadUMeshFromFile(medFileName,MeshName,-1) + + # Retrieving fields + f = MEDLoader.ReadFieldCell(medFileName,mesh3D.getName(),0,FieldName,-1,-1) + f2 = MEDLoader.ReadFieldCell(medFileName,mesh2D.getName(),-1,Field2DName,-1,-1) + + # Retrieving Coords Mesh + Coords3D = mesh3D.getCoords() + Values = Coords3D.getValuesAsTuple() + + # Retrieving field value on 0 tuple + pos= Values[0] + res=f.getValueOn(pos) + + # Verify if value is OK + bar = mesh3D.getBarycenterAndOwner() + x=bar.getIJ(1,1) + y=bar.getIJ(1,2) + z=bar.getIJ(1,3) + + from math import * + d = sqrt(x*x+y*y+z*z) + sinus = sin(d) + + if abs(res[0]-sinus)<1.e-5: + print "OK" + else: + print "KO" diff --git a/doc/tutorial/atestMEDCouplingRemapper.rst b/doc/tutorial/atestMEDCouplingRemapper.rst new file mode 100644 index 000000000..06a3beba2 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingRemapper.rst @@ -0,0 +1,68 @@ + +.. _python_testMEDCouplingremapper1_solution: + +Interpoler avec MEDCouplingRemapper +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDCoupling as mc + from MEDCouplingRemapper import MEDCouplingRemapper + # Target mesh + arr = mc.DataArrayDouble(11) + arr.iota(0) + trgMesh = mc.MEDCouplingCMesh() + trgMesh.setCoords(arr,arr) + trgMesh = trgMesh.buildUnstructured() + # Source mesh + arr = mc.DataArrayDouble(21) + arr.iota(0) + arr *= 0.5 + srcMesh = mc.MEDCouplingCMesh() + srcMesh.setCoords(arr,arr) + srcMesh = srcMesh.buildUnstructured() + # Triangularize some cells in source + tmp = srcMesh[:20] # Extract a sub-part of srcMesh + tmp.simplexize(0) + srcMesh = mc.MEDCouplingUMesh.MergeUMeshes([tmp,srcMesh[20:]]) + # Interpolate cells to cells + remap = MEDCouplingRemapper() + remap.prepare(srcMesh,trgMesh,"P0P0") + # Check matrix + myMatrix = remap.getCrudeMatrix() + print myMatrix + sumByRows = mc.DataArrayDouble(len(myMatrix)) + for i,wIt in enumerate(sumByRows): + su = 0. + for it in myMatrix[i]: + su += myMatrix[i][it] + wIt[0] = su + print "Is interpolation well prepared?", sumByRows.isUniform(1.,1e-12) + # Source field construction + srcField = mc.MEDCouplingFieldDouble(mc.ON_CELLS, mc.ONE_TIME) + srcField.setMesh(srcMesh) + srcField.fillFromAnalytic(1,"7-sqrt((x-5.)*(x-5.)+(y-5.)*(y-5.))") + srcField.getArray().setInfoOnComponent(0, "powercell [W]") + # Transfer field + #remap.transferField(srcField, 1e300) + srcField.setNature(mc.ConservativeVolumic) + trgFieldCV = remap.transferField(srcField,1e300) + # ConservativeVolumic + integSource = srcField.integral(True)[0] + integTarget = trgFieldCV.integral(True)[0] + print "ConservativeVolumic -- integrals: %lf == %lf" % (integSource, integTarget) + + accSource = srcField.getArray().accumulate()[0] + accTarget = trgFieldCV.getArray().accumulate()[0] + print "ConservativeVolumic -- sums: %lf != %lf" % (accSource, accTarget) + # IntegralGlobConstraint + srcField.setNature(mc.IntegralGlobConstraint) + trgFieldI = remap.transferField(srcField,1e300) + # + integSource = srcField.integral(True)[0] + integTarget = trgFieldI.integral(True)[0] + print "IntegralGlobConstraint -- integrals: %lf != %lf" % (integSource, integTarget) + + accSource = srcField.getArray().accumulate()[0] + accTarget = trgFieldI.getArray().accumulate()[0] + print "IntegralGlobConstraint -- sums: %lf == %lf" % (accSource, accTarget) diff --git a/doc/tutorial/atestMEDCouplingUMesh1.rst b/doc/tutorial/atestMEDCouplingUMesh1.rst new file mode 100644 index 000000000..8c57d4fe7 --- /dev/null +++ b/doc/tutorial/atestMEDCouplingUMesh1.rst @@ -0,0 +1,99 @@ + +.. _python_testMEDCouplingumesh1_solution: + +Playing with unstructured mesh +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDCoupling as mc + + # Build a 3D mesh from scratch mixing HEXA8 and POLYHED + coords=[0.,0.,0., 1.,1.,0., 1.,1.25,0., 1.,0.,0., 1.,1.5,0., 2.,0.,0., 2.,1.,0., 1.,2.,0., 0.,2.,0., 3.,1.,0., + 3.,2.,0., 0.,1.,0., 1.,3.,0., 2.,2.,0., 2.,3.,0., + 0.,0.,1., 1.,1.,1., 1.,1.25,1., 1.,0.,1., 1.,1.5,1., 2.,0.,1., 2.,1.,1., 1.,2.,1., 0.,2.,1., 3.,1.,1., + 3.,2.,1., 0.,1.,1., 1.,3.,1., 2.,2.,1., 2.,3.,1., + 0.,0.,2., 1.,1.,2., 1.,1.25,2., 1.,0.,2., 1.,1.5,2., 2.,0.,2., 2.,1.,2., 1.,2.,2., 0.,2.,2., 3.,1.,2., + 3.,2.,2., 0.,1.,2., 1.,3.,2., 2.,2.,2., 2.,3.,2., + 0.,0.,3., 1.,1.,3., 1.,1.25,3., 1.,0.,3., 1.,1.5,3., 2.,0.,3., 2.,1.,3., 1.,2.,3., 0.,2.,3., 3.,1.,3., + 3.,2.,3., 0.,1.,3., 1.,3.,3., 2.,2.,3., 2.,3.,3.] + conn=[0,11,1,3,15,26,16,18, 1,2,4,7,13,6,-1,1,16,21,6,-1,6,21,28,13,-1,13,7,22,28,-1,7,4,19,22,-1,4,2,17,19,-1,2,1,16,17,-1,16,21,28,22,19,17, + 1,6,5,3,16,21,20,18, 13,10,9,6,28,25,24,21, 11,8,7,4,2,1,-1,11,26,16,1,-1,1,16,17,2,-1,2,17,19,4,-1,4,19,22,7,-1,7,8,23,22,-1,8,11,26,23,-1,26,16,17,19,22,23, + 7,12,14,13,22,27,29,28, 15,26,16,18,30,41,31,33, 16,17,19,22,28,21,-1,16,31,36,21,-1,21,36,43,28,-1,28,22,37,43,-1,22,19,34,37,-1,19,17,32,34,-1,17,16,31,32,-1,31,36,43,37,34,32, + 16,21,20,18,31,36,35,33, 28,25,24,21,43,40,39,36, 26,23,22,19,17,16,-1,26,41,31,16,-1,16,31,32,17,-1,17,32,34,19,-1,19,34,37,22,-1,22,23,38,37,-1,23,26,41,38,-1,41,31,32,34,37,38, + 22,27,29,28,37,42,44,43, 30,41,31,33,45,56,46,48, 31,32,34,37,43,36,-1,31,46,51,36,-1,36,51,58,43,-1,43,37,52,58,-1,37,34,49,52,-1,34,32,47,49,-1,32,31,46,47,-1,46,51,58,52,49,47, + 31,36,35,33,46,51,50,48, 43,40,39,36,58,55,54,51, 41,38,37,34,32,31,-1,41,56,46,31,-1,31,46,47,32,-1,32,47,49,34,-1,34,49,52,37,-1,37,38,53,52,-1,38,41,56,53,-1,56,46,47,49,52,53, + 37,42,44,43,52,57,59,58] + mesh3D = mc.MEDCouplingUMesh("mesh3D",3); + mesh3D.allocateCells(18); + mesh3D.insertNextCell(mc.NORM_HEXA8,conn[0:8]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[8:51]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[51:59]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[59:67]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[67:110]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[110:118]); + mesh3D.insertNextCell(mc.NORM_HEXA8,conn[118:126]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[126:169]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[169:177]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[177:185]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[185:228]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[228:236]); + mesh3D.insertNextCell(mc.NORM_HEXA8,conn[236:244]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[244:287]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[287:295]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[295:303]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[303:346]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[346:354]); + mesh3D.finishInsertingCells(); + myCoords = mc.DataArrayDouble(coords,60,3); + myCoords.setInfoOnComponents(["X [m]","Y [m]","Z [m]"]) + mesh3D.setCoords(myCoords); + mesh3D.orientCorrectlyPolyhedrons() + mesh3D.sortCellsInMEDFileFrmt() + mesh3D.checkCoherency() + renum = mc.DataArrayInt(60) ; renum[:15]=range(15,30) ; renum[15:30]=range(15) ; renum[30:45]=range(45,60) ; renum[45:]=range(30,45) + mesh3D.renumberNodes(renum,60) + # Scale coordinates from meters to centimeters + mesh3D.getCoords()[:] *= 100. + mesh3D.getCoords().setInfoOnComponents(["X [cm]","Y [cm]","Z [cm]"]) + # Identify unique Z values + zLev = mesh3D.getCoords()[:,2] + zLev = zLev.getDifferentValues(1e-12) + zLev.sort() + # Extract cells from a given Z level - Solution 1 + tmp,cellIdsSol1 = mesh3D.buildSlice3D([0.,0.,(zLev[1]+zLev[2])/2],[0.,0.,1.],1e-12) + # Idem - Solution 2 + bary = mesh3D.getBarycenterAndOwner() + baryZ = bary[:,2] + cellIdsSol2 = baryZ.getIdsInRange(zLev[1],zLev[2]) + # Idem - Solution 3 + nodeIds = mesh3D.findNodesOnPlane([0.,0.,zLev[0]],[0.,0.,1.],1e-10) + mesh2D = mesh3D.buildFacePartOfMySelfNode(nodeIds,True) + extMesh = mc.MEDCouplingExtrudedMesh(mesh3D,mesh2D,0) + n_cells = mesh2D.getNumberOfCells() + cellIdsSol3 = extMesh.getMesh3DIds()[n_cells:2*n_cells] + # Compare the 3 methods + print cellIdsSol1.getValues() + print cellIdsSol2.getValues() + print cellIdsSol3.getValues() + # Extract part of the mesh + mesh3DPart = mesh3D[cellIdsSol2] # equivalent to mesh3DPart = mesh3D.buildPartOfMySelf(cellIdsSol2,True) + mesh3DPart.zipCoords() + # Check geometric type ordering + #print mesh3DPart.advancedRepr() + print mesh3DPart.checkConsecutiveCellTypesAndOrder([mc.NORM_HEXA8,mc.NORM_POLYHED]) + print mesh3DPart.checkConsecutiveCellTypes() + #print mesh3DPart.advancedRepr() + # Extract cells along a line - Solution 1 + baryXY = bary[:,[0,1]] + baryXY -= [250.,150.] + magn = baryXY.magnitude() + cellIds2Sol1 = magn.getIdsInRange(0.,1e-12) + # Extract cells along a line - Solution 2 + bary2 = mesh2D.getBarycenterAndOwner()[:,[0,1]] + bary2 -= [250.,150.] + magn = bary2.magnitude() + ids = magn.getIdsInRange(0.,1e-12) + idStart = int(ids) # ids is assumed to contain only one value, if not an exception is thrown + ze_range = range(idStart,mesh3D.getNumberOfCells(),mesh2D.getNumberOfCells()) + cellIds2Sol2 = extMesh.getMesh3DIds()[ze_range] + # Construct the final sub-part + mesh3DSlice2 = mesh3D[cellIds2Sol1] + mesh3DSlice2.zipCoords() + # Aggregate two meshes, one being the translated version of the original + mesh3DSlice2bis = mesh3DSlice2.deepCpy() + mesh3DSlice2bis.translate([0.,1000.,0.]) + mesh3DSlice2All = mc.MEDCouplingUMesh.MergeUMeshes([mesh3DSlice2,mesh3DSlice2bis]) + mesh3DSlice2All.writeVTK("mesh3DSlice2All.vtu") + # Discover descending connectivity + mesh3DSurf,desc,descIndx,revDesc,revDescIndx = mesh3D.buildDescendingConnectivity() + numberOf3DCellSharing = revDescIndx.deltaShiftIndex() + cellIds = numberOf3DCellSharing.getIdsNotEqual(1) + mesh3DSurfInside = mesh3DSurf[cellIds] + mesh3DSurfInside.writeVTK("mesh3DSurfInside.vtu") + diff --git a/doc/tutorial/atestMEDLoaderAdvancedAPI1.rst b/doc/tutorial/atestMEDLoaderAdvancedAPI1.rst new file mode 100644 index 000000000..bf16bea1a --- /dev/null +++ b/doc/tutorial/atestMEDLoaderAdvancedAPI1.rst @@ -0,0 +1,96 @@ + +.. _python_testMEDLoaderAdvancedAPI1_solution: + +Reading, Writing a MED file using MEDLoader advanced API +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDLoader as ml + from MEDLoader import MEDLoader + # Mesh creation + targetCoords = [-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + targetConn = [0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + targetMesh = ml.MEDCouplingUMesh("MyMesh",2) + targetMesh.allocateCells(5) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[4:7]) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[7:10]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[0:4]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[10:14]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[14:18]) + targetMesh.finishInsertingCells() + myCoords = ml.DataArrayDouble(targetCoords,9,2) + myCoords.setInfoOnComponents(["X [km]","YY [mm]"]) + targetMesh.setCoords(myCoords) + # Build the 2D faces from the 3D volumes (descending connectivity) + targetMeshConsti, _, _, _, _ = targetMesh.buildDescendingConnectivity() + targetMesh1 = targetMeshConsti[[3,4,7,8]] + targetMesh1.setName(targetMesh.getName()) + # + # Meshes + # + meshMEDFile = ml.MEDFileUMesh() + meshMEDFile.setMeshAtLevel(0,targetMesh) + meshMEDFile.setMeshAtLevel(-1,targetMesh1) + # Some groups on cells Level 0 + grp0_0 = ml.DataArrayInt([0,1,3]) + grp0_0.setName("grp0_Lev0") + grp1_0 = ml.DataArrayInt([1,2,3,4]) + grp1_0.setName("grp1_Lev0") + meshMEDFile.setGroupsAtLevel(0, [grp0_0,grp1_0]) + # Some groups on cells Level -1 + grp0_M1 = ml.DataArrayInt([0,1]) + grp0_M1.setName("grp0_LevM1") + grp1_M1 = ml.DataArrayInt([0,1,2]) + grp1_M1.setName("grp1_LevM1") + grp2_M1 = ml.DataArrayInt([1,2,3]) + grp2_M1.setName("grp2_LevM1") + meshMEDFile.setGroupsAtLevel(-1,[grp0_M1,grp1_M1,grp2_M1]) + # Write everything + meshMEDFile.write("TargetMesh2.med",2) # 2 stands for write from scratch + # Re-read and test equality + meshMEDFileRead = ml.MEDFileMesh.New("TargetMesh2.med") # a new is needed because it returns a MEDFileUMesh (MEDFileMesh is abstract) + meshRead0 = meshMEDFileRead.getMeshAtLevel(0) + meshRead1 = meshMEDFileRead.getMeshAtLevel(-1) + print "Is level 0 in the file equal to 'targetMesh'?", meshRead0.isEqual(targetMesh,1e-12) + print "Is level 0 in the file equal to 'targetMesh1'?", meshRead1.isEqual(targetMesh1,1e-12) + # Read groups + print meshMEDFileRead.getGrpNonEmptyLevels("grp0_Lev0") + grp0_0_read = meshMEDFileRead.getGroupArr(0,"grp0_Lev0") + print "Is group 'grp0_Lev0' equal to what is read in the file?" , grp0_0_read.isEqual(grp0_0) + # + # Fields + # + f = ml.MEDCouplingFieldDouble(ml.ON_CELLS, ml.ONE_TIME) + f.setTime(5.6,7,8) + f.setArray(targetMesh.getBarycenterAndOwner()) + f.setMesh(targetMesh) + f.setName("AFieldName") + # Prepare field for writing + fMEDFile = ml.MEDFileField1TS() + fMEDFile.setFieldNoProfileSBT(f) # No profile desired on the field, Sort By Type + # *Append* the field to an existing file + fMEDFile.write("TargetMesh2.med",0) # 0 is very important here because we want to append to TargetMesh2.med and not to scratch it + # Read the field + fMEDFileRead = ml.MEDFileField1TS("TargetMesh2.med",f.getName(),7,8) + fRead1 = fMEDFileRead.getFieldOnMeshAtLevel(ml.ON_CELLS,0,meshMEDFileRead) # Quickest way, not re-reading mesh in the file. + fRead2 = fMEDFileRead.getFieldAtLevel(ml.ON_CELLS,0) # Like above, but this time the mesh is read! + print "Does the field remain OK with the quick method?", fRead1.isEqual(f,1e-12,1e-12) + print "Does the field remain OK with the slow method?", fRead2.isEqual(f,1e-12,1e-12) + # + # Writing and Reading fields on profile using MEDLoader advanced API + # + pfl = ml.DataArrayInt([1,2,3]) + pfl.setName("My1stPfl") + fPart = f.buildSubPart(pfl) + fPart.setName("fPart") + # + fMEDFile2 = ml.MEDFileField1TS() + fMEDFile2.setFieldProfile(fPart,meshMEDFileRead,0,pfl) # 0 is the relative level (here 0 means 3D) + fMEDFile2.write("TargetMesh2.med",0) # 0 is paramount to indicate that we *append* (and no overwrite) to the MED file + # + fMEDFileRead2 = ml.MEDFileField1TS("TargetMesh2.med",fPart.getName(),7,8) + fPartRead, pflRead = fMEDFileRead2.getFieldWithProfile(ml.ON_CELLS,0,meshMEDFileRead) + print "Is the partial field correclty read?", fPartRead.isEqualWithoutConsideringStr(fPart.getArray(),1e-12) + print "Is the list of cell identifiers matching?", pflRead.isEqualWithoutConsideringStr(pfl) + diff --git a/doc/tutorial/atestMEDLoaderBasicAPI1.rst b/doc/tutorial/atestMEDLoaderBasicAPI1.rst new file mode 100644 index 000000000..97cdfaf14 --- /dev/null +++ b/doc/tutorial/atestMEDLoaderBasicAPI1.rst @@ -0,0 +1,53 @@ + +.. _python_testMEDLoaderBasicAPI1_solution: + +Reading, Writing a MED file using MEDLoader basic API +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDLoader as ml + from MEDLoader import MEDLoader + # Mesh creation + targetCoords = [-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + targetConn = [0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + targetMesh = ml.MEDCouplingUMesh("MyMesh",2) + targetMesh.allocateCells(5) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[4:7]) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[7:10]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[0:4]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[10:14]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[14:18]) + targetMesh.finishInsertingCells() + myCoords = ml.DataArrayDouble(targetCoords,9,2) + myCoords.setInfoOnComponents(["X [km]","YY [mm]"]) + targetMesh.setCoords(myCoords) + # Writing mesh only + MEDLoader.WriteUMesh("TargetMesh.med",targetMesh,True) # True means 'from scratch' + # Re-read it and test equality + meshRead = MEDLoader.ReadUMeshFromFile("TargetMesh.med",targetMesh.getName(),0) + print "Is the read mesh equal to 'targetMesh' ?", meshRead.isEqual(targetMesh,1e-12) + # Writing a field and its support mesh in one go + f = ml.MEDCouplingFieldDouble.New(ml.ON_CELLS, ml.ONE_TIME) + f.setTime(5.6,7,8) # Declare the timestep associated to the field + f.setArray(targetMesh.getBarycenterAndOwner()) + f.setMesh(targetMesh) + f.setName("AFieldName") + MEDLoader.WriteField("MyFirstField.med",f,True) + # Re-read it ans test equality + f2 = MEDLoader.ReadFieldCell("MyFirstField.med", f.getMesh().getName(), 0, f.getName(), 7, 8) + print "Is the read field identical to 'f' ?", f2.isEqual(f,1e-12,1e-12) + # Writing in several steps + MEDLoader.WriteUMesh("MySecondField.med",f.getMesh(),True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh("MySecondField.med",f) + # A second field to write + f2 = f.clone(True) # 'True' means that we need a deep copy + f2.getArray()[:] = 2.0 + f2.setTime(7.8,9,10) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh("MySecondField.med",f2) + # Re-read and test this two-timestep field + f3 = MEDLoader.ReadFieldCell("MySecondField.med",f.getMesh().getName(),0,f.getName(),7,8) + print "Is the field read in file equals to 'f' ?", f.isEqual(f3,1e-12,1e-12) + f4 = MEDLoader.ReadFieldCell("MySecondField.med",f.getMesh().getName(),0,f.getName(),9,10) + print "Is the field read in file equals to 'f2' ?", f2.isEqual(f4,1e-12,1e-12) + diff --git a/doc/tutorial/atestMEDLoaderSplitAndMerge1.rst b/doc/tutorial/atestMEDLoaderSplitAndMerge1.rst new file mode 100644 index 000000000..aa498a873 --- /dev/null +++ b/doc/tutorial/atestMEDLoaderSplitAndMerge1.rst @@ -0,0 +1,124 @@ + +.. _python_testMEDLoaderSplitAndMerge1_solution: + +Splitting and Merging a MED file using MEDLoader +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + import MEDLoader as ml + from MEDLoader import MEDLoader + + m0 = ml.MEDCouplingCMesh() + arr = ml.DataArrayDouble(31,1) ; arr.iota(0.) + m0.setCoords(arr,arr) + m0 = m0.buildUnstructured() + m00 = m0[::2] # Extract even cells + m00.simplexize(0) + m01 = m0[1::2] + m0 = ml.MEDCouplingUMesh.MergeUMeshes([m00,m01]) + m0.getCoords()[:] *= 1/15. + m0.setName("mesh") + # Cell field + cellField = ml.MEDCouplingFieldDouble(ml.ON_CELLS, ml.ONE_TIME) + cellField.setTime(5.6,5,6) + cellField.setMesh(m0) + cellField.setName("CellField") + cellField.fillFromAnalytic(1,"exp(-((x-1)*(x-1)+(y-1)*(y-1)))") + cellField.getArray().setInfoOnComponent(0,"powercell [W]") + # Node field + nodeField = ml.MEDCouplingFieldDouble(ml.ON_NODES,ml.ONE_TIME) + nodeField.setTime(5.6,5,6) + nodeField.setMesh(m0) + nodeField.setName("NodeField") + nodeField.fillFromAnalytic(1,"exp(-((x-1)*(x-1)+(y-1)*(y-1)))") + nodeField.getArray().setInfoOnComponent(0,"powernode [W]") + # Splitting + proc0 = m0.getCellsInBoundingBox([(0.,0.4),(0.,0.4)],1e-10) + proc1 = proc0.buildComplement(m0.getNumberOfCells()) + # + nodeField0 = nodeField[proc0] ; cellField0 = cellField[proc0] ; cellField0.setMesh(nodeField0.getMesh()) + nodeField1 = nodeField[proc1] ; cellField1 = cellField[proc1] ; cellField1.setMesh(nodeField1.getMesh()) + + proc0_fname = "proc0.med" + MEDLoader.WriteField(proc0_fname, nodeField0, True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh(proc0_fname, cellField0) + + proc1_fname = "proc1.med" + MEDLoader.WriteField(proc1_fname,nodeField1,True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh(proc1_fname,cellField1) + # + # Merging - Sub-optimal method + # + cellField0_read = MEDLoader.ReadFieldCell("proc0.med","mesh",0,"CellField",5,6) + cellField1_read = MEDLoader.ReadFieldCell("proc1.med","mesh",0,"CellField",5,6) + cellField_read = ml.MEDCouplingFieldDouble.MergeFields([cellField0_read,cellField1_read]) + cellFieldCpy = cellField.deepCpy() + cellFieldCpy.substractInPlaceDM(cellField_read,10,1e-12) + cellFieldCpy.getArray().abs() + print cellFieldCpy.getArray().isUniform(0.,1e-12) + # + nodeField0_read = MEDLoader.ReadFieldNode("proc0.med","mesh",0,"NodeField",5,6) + nodeField1_read = MEDLoader.ReadFieldNode("proc1.med","mesh",0,"NodeField",5,6) + nodeField_read = ml.MEDCouplingFieldDouble.MergeFields([nodeField0_read, nodeField1_read]) + nodeField_read.mergeNodes(1e-10) + nodeFieldCpy = nodeField.deepCpy() + nodeFieldCpy.mergeNodes(1e-10) + nodeFieldCpy.substractInPlaceDM(nodeField_read,10,1e-12) + print nodeFieldCpy.getArray().isUniform(0.,1e-12) + # + # Merging - Optimal method + # + fileNames = ["proc0.med","proc1.med"] + msML = [ml.MEDFileMesh.New(fname) for fname in fileNames] + fsML = [ml.MEDFileFields.New(fname) for fname in fileNames] + mergeMLMesh = ml.MEDFileUMesh() + mergeMLFields = ml.MEDFileFields() + for lev in msML[0].getNonEmptyLevels(): + o2nML = len(msML[0].getNonEmptyLevels())*[None] + cs = [mML.getCoords() for mML in msML] + mergeMLMesh.setCoords(ml.DataArrayDouble.Aggregate(cs)) + ms = [mML.getMeshAtLevel(lev) for mML in msML] + m = ml.MEDCouplingUMesh.MergeUMeshes(ms) ; m.setCoords(mergeMLMesh.getCoords()) + o2nML[lev] = m.sortCellsInMEDFileFrmt() + mergeMLMesh.setMeshAtLevel(lev,m) + pass + + for fieldName in fsML[0].getFieldsNames(): + fmts = [fML[fieldName] for fML in fsML] + mergeField = ml.MEDFileFieldMultiTS() + for dt,it,tim in fmts[0].getTimeSteps(): + fts = [fmt[dt,it] for fmt in fmts] + arrs = len(fts)*[None] + for typp in fts[0].getTypesOfFieldAvailable(): + arr1s = [] + if typp == ml.ON_CELLS: + for ft in fts: + for geoTyp,smth in ft.getFieldSplitedByType(): + if geoTyp != ml.NORM_ERROR: + smth1 = filter(lambda x:x[0] == ml.ON_CELLS,smth) + arr2s = [ft.getUndergroundDataArray()[elt[1][0]:elt[1][1]] for elt in smth1] + arr1s.append(ml.DataArrayDouble.Aggregate(arr2s)) + pass + pass + pass + pass + else: + for ft in fts: + smth = filter(lambda x:x[0] == ml.NORM_ERROR,ft.getFieldSplitedByType()) + arr2 = ml.DataArrayDouble.Aggregate([ft.getUndergroundDataArray()[elt[1][0][1][0]:elt[1][0][1][1]] for elt in smth]) + arr1s.append(arr2) + pass + pass + arr = ml.DataArrayDouble.Aggregate(arr1s) + if typp == ml.ON_CELLS: + arr.renumberInPlace(o2nML[lev]) + mcf = ml.MEDCouplingFieldDouble(typp,ml.ONE_TIME) ; mcf.setName(fieldName) ; mcf.setTime(tim,dt,it) ; mcf.setArray(arr) + mcf.setMesh(mergeMLMesh.getMeshAtLevel(lev)) ; mcf.checkCoherency() + mergeField.appendFieldNoProfileSBT(mcf) + pass + pass + mergeMLFields.pushField(mergeField) + pass + mergeMLMesh.write("merge.med",2) + mergeMLFields.write("merge.med",0) diff --git a/doc/tutorial/conf.py.in b/doc/tutorial/conf.py.in new file mode 100644 index 000000000..65d86287c --- /dev/null +++ b/doc/tutorial/conf.py.in @@ -0,0 +1,187 @@ +# -*- coding: utf-8 -*- +# +# Code Coupling and Code Integration documentation build configuration file, created by +# sphinx-quickstart on Tue Apr 28 15:28:57 2009. +# +# This file is execfile()d with the current directory set to its containing dir. +# +# The contents of this file are pickled, so don't put values in the namespace +# that aren't pickleable (module imports are okay, they're removed automatically). +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys, os + +# If your extensions are in another directory, add it here. If the directory +# is relative to the documentation root, use os.path.abspath to make it +# absolute, like shown here. +#sys.path.append(os.path.abspath('.')) + +# General configuration +# --------------------- + +# Add any Sphinx extension module names here, as strings. They can be extensions +# coming with Sphinx (named 'sphinx.ext.*') or your custom ones. +extensions = ['sphinx.ext.pngmath'] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ['_templates'] + +# The suffix of source filenames. +source_suffix = '.rst' + +# The encoding of source files. +#source_encoding = 'utf-8' + +# The master toctree document. +master_doc = 'index' + +# General information about the project. +project = u'MEDCoupling tutorial' +copyright = u'2015, Geay, Bruneton' + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +version = '@SALOMEMED_VERSION@' +# The full version, including alpha/beta/rc tags. +release = '@SALOMEMED_VERSION@' + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +#language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +#today = '' +# Else, today_fmt is used as the format for a strftime call. +#today_fmt = '%B %d, %Y' + +# List of documents that shouldn't be included in the build. +#unused_docs = [] + +# List of directories, relative to source directory, that shouldn't be searched +# for source files. +exclude_trees = [] + +# The reST default role (used for this markup: `text`) to use for all documents. +#default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +#add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +#add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +#show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = 'sphinx' + + +# Options for HTML output +# ----------------------- + +# The style sheet to use for HTML and HTML Help pages. A file of that name +# must exist either in Sphinx' static/ path, or in one of the custom paths +# given in html_static_path. +html_style = 'default.css' + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +#html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +#html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +#html_logo = '' + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +#html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ['_static'] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +#html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +#html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +#html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +#html_additional_pages = {} + +# If false, no module index is generated. +#html_use_modindex = True + +# If false, no index is generated. +#html_use_index = True + +# If true, the index is split into individual pages for each letter. +#html_split_index = False + +# If true, the reST sources are included in the HTML build as _sources/. +#html_copy_source = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +#html_use_opensearch = '' + +# If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml"). +#html_file_suffix = '' + +# Output file base name for HTML help builder. +htmlhelp_basename = 'MEDCouplingTutorial' + + +# Options for LaTeX output +# ------------------------ + +# The paper size ('letter' or 'a4'). +#latex_paper_size = 'letter' + +# The font size ('10pt', '11pt' or '12pt'). +#latex_font_size = '10pt' + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, author, document class [howto/manual]). +latex_documents = [ + ('index', 'MEDCouplingTutorial.tex', ur'MEDCoupling tutorial', + ur'A. Geay, A. 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Definition of the mesh support + # => Definition of field name + # => Definition of field nature + field = MEDCouplingFieldDouble.New(ON_CELLS) + field.setMesh(mesh) + field.setName("field") + field.setNature(Integral) + + # Computing and setting field values + myCoords=DataArrayDouble.New() + sampleTab=[] + bar = mesh.getBarycenterAndOwner() + print bar.getNbOfElems() + for i in range(nbOfCells): + x = bar.getIJ(...) + y = bar.getIJ(...) + z = bar.getIJ(...) + d = sqrt(x*x+y*y+z*z) + sinus = sin(d) + . sampleTab.append(sinus) + + myCoords.setValues(sampleTab,nbOfCells,1) + field.setArray(myCoords) + + +Saving the mesh in a med file +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +General Case +```````````` +:: + + medFileName = "MEDCoupling_Extrudedcube3D.med" + MEDLoader.WriteUMesh(medFileName,meshU,True) + +.. note:: True / False in Write* functions : True for overwriting existing file and False for adding in existing file + +Multi mesh Case +```````````````` + +In spite of a MEDCoupling mesh has only one dimension, it's possible to genrate a file with multi dimension. +Therefore, you need to create as meshes as necessary dimensions. + +You have to give the connectivity of the faces on the bottom face of the 3D cube: the list of the nodes which belong to the face. +The connectivity must respect following figure: + +.. image:: images/face.jpg + +:: + + # Extraction of surfacic meshing + pt=[0.,0.,0.] + vec=[0.,0.,1.] + nodes = mesh.findNodesOnPlane(pt,vec,1e-12) + mesh2D = mesh.buildFacePartOfMySelfNode(nodes,True) + #print mesh2D + mesh2D.setName("3Dcube") + mesh2D.checkCoherency() + + medFileName = "MEDCoupling_cube3D.med" + meshes=[mesh2D,mesh] + MEDLoader.WriteUMeshes(medFileName,meshes,True) + +Group Case +```````````` +:: + + medFileName = "MEDCoupling_Gridcube3D.med" + fmeshU.write(medFileName,2) + +Saving the fields in the med file +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + MEDLoader.WriteField(medFileName,field,False) + +Visualize the mesh with the SMESH module of Salome +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Launch Salome platform, then select SMESH module and import your MED file. First You can see the number of elements of your mesh. For that, select your mesh in the object browser, set select Mesh menu and "Advanced Mesh Info" option. Verify the number of faces and the number of hexahedrons. To visualize your mesh: click right bottom on your mesh and select "Show" option. You can also visualize your groups. Select one group, click right bottom on your group and select "Show only" option. + +Visualize the fields with the VISU module of Salome +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Launch Salome platform, then select VISU module and import your MED file. You can see in the object browser the 2 fields you have created. Then you have to create a scalar map on each field to visualize them. + +.. image:: images/Field_Cube3D.jpg + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingcube_solution` diff --git a/doc/tutorial/medcoupling_Read.rst b/doc/tutorial/medcoupling_Read.rst new file mode 100644 index 000000000..d954bfdab --- /dev/null +++ b/doc/tutorial/medcoupling_Read.rst @@ -0,0 +1,88 @@ + +Reading a med file +------------------- + +Objective +~~~~~~~~~ + +The MEDLoader class also allows to read a med file. + +We will use the case of the 3D cube in order to retrieve all meshes and fields along with value on one node. + +Beginning of implementation +~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +To implement this exercice we use the python language script and import the MEDCoupling and MEDLoader parts of the MED module. We need also mathematical functions, so we import the python math module:: + + from MEDCoupling import * + from MEDLoader import * + from math import * + + +Then define some variables:: + + medFileName = "MEDCoupling_cube3D.med" + MeshName = "3Dcube" + FieldName = "field" + Field2DName = "fieldBottomFace" + +Retrieving 3D mesh and associated field +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +You need to use MEDLoader API in order to read med file. Read functions need to give the real dimension of the mesh to max. +This information is given by a number : 0,-1 or -2. + + * 0 means the high dimension of the mesh + * -1 means the second high dimension of the mesh + +and the iteration and order of the field. In our case, since there is no iteration, it's -1 for these 2 arguments:: + + mesh3D = MEDLoader.ReadUMeshFromFile(medFileName,MeshName,0) + f = MEDLoader.ReadFieldCell(medFileName,mesh3D.getName(),0,FieldName,-1,-1) + + +Retrieving 2D mesh and associated field +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Do the same thing for the 2D mesh and the associated field:: + + mesh2D = MEDLoader.ReadUMeshFromFile(...) + f2 = MEDLoader.ReadFieldCell(...) + +Retrieving mesh coords +~~~~~~~~~~~~~~~~~~~~~~ + +:: + + # Retrieving Coords Mesh + Coords3D = mesh3D.getCoords() + Values = Coords3D.getValuesAsTuple() + +Retrieving field values +~~~~~~~~~~~~~~~~~~~~~~~~ + +:: + + # Retrieving field value on 0 tuple + pos= Values[...] + res=f.getValueOn(pos) + + # Verify if value is OK + bar = mesh3D.getBarycenterAndOwner() + x=bar.getIJ(...) + y=bar.getIJ(...) + z=bar.getIJ(...) + + from math import * + d = sqrt(x*x+y*y+z*z) + sinus = sin(d) + + if abs(res[0]-sinus)<1.e-5: + print "OK" + else: + print "KO" + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingRead_solution` diff --git a/doc/tutorial/medcoupling_dataarray1_en.rst b/doc/tutorial/medcoupling_dataarray1_en.rst new file mode 100644 index 000000000..841627062 --- /dev/null +++ b/doc/tutorial/medcoupling_dataarray1_en.rst @@ -0,0 +1,260 @@ + +Manipulate DataArray objects +---------------------------- + +DataArrays (DataArrayInt and DataArrayDouble) are used in MEDCoupling to store contiguous arrays in memory. Each array entry is a tuple of data. +They form the base of many data processing performed by MEDCoupling. It is thus useful to be able to manipulate them with ease. + +DataArrayDouble are often used to manipulate fields in an optimized fashion, as will be shown later on. + +Objective +~~~~~~~~~ + +In this exercise the aim is to create a set of 2D Cartesian coordinates. The first component will be called X (with unit "m") and the second Y (same unit). The coordinates represent 7 regular hexagons (all inscribed in a 3cm radius circle). +The 7 hexagons are built from a centered reference hexagon (3.4; 4.4). + +Around this reference, 6 translated copies are created and each copy shares exactly one edge with the reference. +The common nodes (tuples) are then merged. This shows how to use indirections, concept widely used in unstructured meshes. + +.. image:: images/DataArrayDouble_1.jpg + +Concepts at hand: + +* Create an instance of DataArrayDouble +* Display a DataArrayDouble instance and invoke the getValue() method to convert it to a list +* Use convenient notations da[...] +* Learn about renumbering (old2new convention) +* Invoke services from findCommonTuples + +Starting the implementation +~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +To start with, import the whole python module MEDCoupling and the standard math module. :: + + from MEDCoupling import * + import math + +This makes the following available: + +* all MEDCoupling classes +* all enum (ON_CELLS, ON_NODES, ONE_TIME...) +* all static methods + +Create a DataArrayDouble instance containing 6 tuples +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The target here is to create one DataArrayDouble containing the complete set of coordinates for one regular hexagon. :: + + d=DataArrayDouble(6,2) + +Which is equivalent to :: + + d=DataArrayDouble() + d.alloc(6,2) + +or to :: + + d=DataArrayDouble(12) + d.rearrange(2) + +.. note:: d contains 12 values grouped in 6 tuples containing each 2 components. + The values in d are still un-initialized. + +Initialize an instance of DataArrayDouble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Assign the value 3.0 (radius) to the first component of all tuples. :: + + d[:,0]=3. + +Initialize the 2nd component of each tuple i with the index value i. :: + + d[:,1]=range(6) + +Multiply the 2nd component by pi/3. :: + + d[:,1]*=math.pi/3. + +.. note:: d now contains the polar coordinates of our regular hexagon centered at 0,0. + +Convert from polar to Cartesian by invoking fromPolarToCart(), and assign the result to d. :: + + d=d.fromPolarToCart() + +.. note:: fromPolarToCart() generates a new instance and d now points to it. + +Assign the correct component information of d.:: + + d.setInfoOnComponents(["X [m]","Y [m]"]) + +Display the values only in form of a Python list. :: + + print d.getValues() + +Display d. :: + + print d + +Verify that for each tuple of d its norm (returned by the magnitude() method) is indeed 3 (with an error less than 1.e-12): +:: + + print d.magnitude().isUniform(3.,1e-12) + + +Duplication and aggregation of DataArrayDouble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +translationToPerform contains a list of vectors of size 2. This list has length 7 (7 hexagons) Cette liste de taille 7 (7 hexagones) and describes the appropriate translation for each copy of d. + +Execute directly the following lines :: + + radius=3. + translationToPerform=[[0.,0.],[3./2.*radius,-radius*math.sqrt(3.)/2],[3./2.*radius,radius*math.sqrt(3.)/2],[0.,radius*math.sqrt(3.)],[-3./2.*radius,radius*math.sqrt(3.)/2],[-3./2.*radius,-radius*math.sqrt(3.)/2],[0.,-radius*math.sqrt(3.)]] + + +Create the len(translationToPerform) copies of d and apply the corresponding translation. :: + + ds=len(translationToPerform)*[None] + for pos,t in enumerate(translationToPerform): + ds[pos]=d[:] + ds[pos]+=t + pass + +An alternative (and more compact) way to do it : :: + + ds=[d.deepCpy() for i in xrange(len(translationToPerform))] + for (elt,t) in zip(ds,translationToPerform) : elt+=t + +Aggregating DataArrayDouble +~~~~~~~~~~~~~~~~~~~~~~~~~~~ +From the list of DataArrayDouble instances 'ds', construct the aggregation 'd2' (a new instance of DataArrayDouble). +:: + + d2=DataArrayDouble.Aggregate(ds) + +.. note:: d2 now contains the full tuple set (6*7=42 tuples of 2 components each) which was in ds with the same order. This might sound obvious but the aggregation of meshes and fields is based on the exact same principle thus facilitating data access and indexing. This is a key difference to the MED file model, as will be seen later on. + +Find identical tuples in d2 +~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +d2 contains 42 tuples but some of them are duplicated. To identify those (with a 1e-12 precision) invoke DataArrayDouble.findCommonTuples(). +Use help(DataArrayDouble.findCommonTuples) to show the prototype of the method and store the result in c and cI:: + + oldNbOfTuples=d2.getNumberOfTuples() + c,cI=d2.findCommonTuples(1e-12) + +c is an array containing all the common nodes grouped sequentially. cI contains the pointers to c allowing to identify all the nodes in a group 'i' (with 'i' in [0, 12) ). Thus the tuple ids of group 'i' start at index cI[i] in the list c, and finish at index cI[i+1]. + +.. note:: DataArrayDouble.findCommonTuples() thus returns 2 values: an array containing a list of common tuples, and an index array which is used to navigate in the first list. This is a very classical return signature in MEDCoupling and often appears when manipulating unstructured meshes. + +Manipulate DataArrayInt couple representing a pair (Data,IndexData) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The number of common tuples is len(cI)-1, i.e. 12 in our case. +Get the list of tuple ids forming the first group of common nodes and store the result in tmp. :: + + tmp=c[cI[0]:cI[0+1]] + print tmp + +Check the result: all the tuples stored in tmp point to identical coordinates in d2.:: + + print d2[tmp] + +.. note:: we see the tuple (3.,0.) repeated 3 times (with an error margin below 1e-12). + +Now we will deduce from the 3 variables oldNbOfTuples, c and cI the number of truly different tuples in d2. +To this end we compute the number of repetitions in d2 and we subtract this from oldNbOfTuples. + +To get the repetition count invoke the method DataArrayInt.deltaShiftIndex(). It returns the size of each group. +Store the result in a. :: + + a=cI.deltaShiftIndex() + +The number of repetitions in d2 for each group can now be stored in b. :: + + b=a-1 + +Finally the new count of tuples can be computed as follows. :: + + myNewNbOfTuples=oldNbOfTuples-sum(b.getValues()) + +Build old to new array from c and cI +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +c and cI define a surjective function from a starting set X containing 42 tuples (oldNbOfTuples) to a set Y containing 24 tuples (myNewNbOfTuples). + +.. image:: images/SurjectionDataArray.png + +This surjective function may also be represented thanks to an "old-2-new" array. +This storage method takes the form of a DataArrayInt 'o2n' made of Card(X) tuples (in our case 42) with one component each. For each tuple (element) indexed by i in o2n, o2n[i] contains the new tuple id in Y. + +The format 'old-2-new' is systematically used for all renumbering operations (one-to-one correspondence). + +The static method DataArrayInt.BuildOld2NewArrayFromSurjectiveFormat2() performs the conversion from one storage mode to the other (c, cI to o2n). +We get for free the number of elements in Y, i.e. the variable newNbOfTuples. :: + + o2n,newNbOfTuples=DataArrayInt.BuildOld2NewArrayFromSurjectiveFormat2(oldNbOfTuples,c,cI) + print "Have I got the right result? %s"%(str(myNewNbOfTuples==newNbOfTuples)) + +Using o2n and newNbOfTuples invoke DataArrayDouble.renumberAndReduce() on d2. :: + + d3=d2.renumberAndReduce(o2n,newNbOfTuples) + +This method has one drawback: we don't know for each group of common tuples in d2 what id was finally retained. +For example: in the group 0 we know that tuples 0, 8 and 16 are identical (tmp.getValues()), but we don't know which of the three has been retained in d3. + +To make this choice explicit we use the new-2-old format. This storage mode is represented by a DataArrayInt n2o containing Card(Y) tuples (in our case 24) with one component each. +For each tuple (element) with id 'i' in n2o, n2o[i] contains the tuple id which was chosen in X. + +The method DataArrayInt.invertArrayO2N2N2O() allows to switch between the two representations. +Try it on the variable o2n. :: + + n2o=o2n.invertArrayO2N2N2O(newNbOfTuples) + +Using n2o we can deduce d3_bis from d2. :: + + d3_bis=d2[n2o] + print "Have I got the right result (2)? %s"%(str(d3.isEqual(d3_bis,1e-12))) + +Translate all tuples at once +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +All tuples (or nodes) are to be translated by the vector [3.3,4.4]. :: + + d3+=[3.3,4.4] + +Build an unstructured mesh using d3 (coordinates) and o2n +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Create an unstructured mesh m with coordinates d3. m has a mesh dimension of 2 :: + + m=MEDCouplingUMesh("My7hexagons",2) + m.setCoords(d3) + +Now allocate the number of cells with an upper bound of the actual number of cells. :: + + m.allocateCells(7) + +Finally thanks to o2n we know the connectivity of all 7 hexagons using the coordinates stored in d3. + +Do not forget to invoke MEDCouplingUMesh.finishInsertingCells() (this last bit should disappear after the release 6.6) :: + + for i in xrange(7): + m.insertNextCell(NORM_POLYGON,o2n[6*i:6*(i+1)].getValues()) + pass + m.finishInsertingCells() + +Check that m is coherent. :: + + m.checkCoherency() + +To visually check m, write it in a VTU file ("My7hexagons.vtu") and display it in ParaVis. :: + + m.writeVTK("My7hexagons.vtu") + +.. note:: We write the data in VTU file, not in a MED file, because MEDCoupling doesn't use the MED file pre-requisite. Also note that although we output VTK data, MEDCoupling in itself doesn't depend on the VTK libraries. + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingdataarray1_solution` diff --git a/doc/tutorial/medcoupling_dataarray1_fr.rst b/doc/tutorial/medcoupling_dataarray1_fr.rst new file mode 100644 index 000000000..ccd3cec34 --- /dev/null +++ b/doc/tutorial/medcoupling_dataarray1_fr.rst @@ -0,0 +1,335 @@ + +Manipuler les DataArray +----------------------- + +Les DataArrays (``DataArrayInt`` et ``DataArrayDouble``) sont utilisés dans MEDCoupling pour stocker des valeurs sous +forme de tableaux contigus en mémoire. Les valeurs sont groupées par tuples, et chaque tuple a le même nombre de composantes. +Ils sont à la base de beaucoup de traitements réalisés dans MEDCoupling. Il est ainsi important de bien savoir les manipuler. + +Les ``DataArrayDouble`` sont souvent utilisés pour la manipulation directe des valeurs d'un champ comme on le verra plus tard. +Les ``DataArrayInt`` eux sont utilisés pour toutes les fonctionnalités travaillant avec des identifiants de +cellules et/ou de points. + +Le but de l'exercice +~~~~~~~~~~~~~~~~~~~~ + +Le but ici est de créer les coordonnées de 7 hexagones réguliers (tous inscrits dans des cercles de rayon 3m) en dimension 2. +La première composante du tableau de coordonnées s'appelera X avec l'unité "m" (mètre) et la 2ème composante s'appelera "Y" avec la même unité. + +On pourrait directement calculer les coordonnées de l'ensemble des points requis avec un peu de trigonométrie, mais afin de travailler un peu avec l'API, on fait le choix de construire les 7 hexagones à partir d'un seul hexagone régulier centré en [3.4; 4.4]. +Autour de cet hexagone régulier central, on crée 6 copies translatées et chaque copie partagera exactement un bord (edge) avec le motif initial. Ensuite on fusionne les noeuds (tuples) communs. Ceci nous permettra de manipuler les indirections et les méthodes d'indexing très usitées dans les maillages non structurés. + +.. image:: images/DataArrayDouble_1.jpg + :scale: 50 + +Les points traités ici : + +* Créer une instance de ``DataArrayDouble`` +* Afficher une instance de ``DataArrayDouble`` et invoquer la méthode ``getValue()`` pour la convertir en liste +* Utiliser les notations pratiques ``da[:,:]`` ... +* Apprendre la renumérotation (convention "old-2-new") +* Invoquer des services tels que ``findCommonTuples()`` + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer le module Python ``MEDCoupling`` et l'aliaser avec ``mc`` (ca nous évitera des noms trop longs). Importer aussi le module ``math``. :: + + import MEDCoupling as mc + import math + +On rappelle que toutes les méthodes statiques du module commencent par une majuscule. +Avec ces imports sont disponibles : + +* toutes les classes de MEDCoupling +* tous les énumérations (par exemple, les types de cellules standard: ``mc.ON_CELLS``, ``mc.ON_NODES``, ``mc.ONE_TIME``...) +* toutes les méthodes statiques + +Créer une instance de DataArrayDouble contenant 6 tuples +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Le but ici est de créer un ``DataArrayDouble`` contenant les coordonnées d'un seul hexagone régulier. :: + + d = mc.DataArrayDouble(6,2) + +Ceci est équivalent à :: + + d = mc.DataArrayDouble() + d.alloc(6,2) + +Ceci est aussi équivalent à :: + + d = mc.DataArrayDouble(12) + d.rearrange(2) + +Notons enfin que l'on peut aussi directement construire un ``DataArray`` à partir d'une liste Python. Par défaut le tableau +n'a qu'une seule composante. :: + + d_example = mc.DataArrayDouble([0.0,1.0,2.5]) + print d_example + +.. note:: Le tableau ``d`` contient maintenant 12 valeurs groupées en 6 tuples contenant chacun 2 composantes. + Les valeurs dans ``d`` ne sont pas encore assignées. + +Initialiser une instance de DataArrayDouble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Assigner la valeur 3.0 (le rayon) à la première composante de chacun des tuples. La syntaxe ressemble fortement +à celle de NumPy. On peut par exemple assigner d'un coup les tuples 1 à 3 (inclus), sur la première composante avec la valeur +3.0 :: + + d[1:4,0] = 3. + +ou directement l'intégralité de la première composante :: + + d[:,0] = 3. + +Initialiser la 2ème composante de chaque tuple i avec la valeur i. :: + + d[:,1] = range(6) + +Multiplier la seconde composante de chacun des tuples par pi/3. :: + + d[:,1] *= math.pi/3. + +.. note:: ``d`` contient désormais les coordonnées polaires des noeuds de notre hexagone régulier centré en 0,0 pour le moment. + +Convertir ``d`` de polaire à cartésien en invoquant la méthode ``fromPolarToCart()`` et re-mettre le résultat dans ``d``. :: + + d = d.fromPolarToCart() + +.. note:: ``fromPolarToCart()`` génère une nouvelle instance, nous avons donc perdu le ``d`` initial + +Assigner les informations textuelles correctes sur les 2 composantes de ``d`` : :: + + d.setInfoOnComponents(["X [m]","Y [m]"]) + +.. note:: Cela n'est pas indispensable pour cet exercise, mais d'autres fonctions plus avancées nécessitent cette information. + +Afficher ``d`` tel quel. :: + + print d + + +Afficher juste les valeurs sous forme d'une liste python. :: + + print d.getValues() + + +Vérifier que pour chaque tuple désormais dans ``d``, sa norme (méthode ``magnitude()``) est bien égale à 3.0, à 1.e-12 près (méthode ``isUniform()``) :: + + print "Uniform array?", d.magnitude().isUniform(3.,1e-12) + + +Duplication et agrégation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +On construit maintenant la liste ``translationToPerform``, qui contient une liste de vecteurs chacun de taille 2. Cette liste de taille 7 (7 hexagones) contient la translation à opérer pour produire chacun des hexagones. + +Faites nous confiance sur la trigonométrie, vous pouvez copier directement les deux lignes suivantes :: + + radius = 3. + translationToPerform = [[0.,0.],[3./2.*radius,-radius*math.sqrt(3.)/2],[3./2.*radius,radius*math.sqrt(3.)/2],[0.,radius*math.sqrt(3.)],[-3./2.*radius,radius*math.sqrt(3.)/2],[-3./2.*radius,-radius*math.sqrt(3.)/2],[0.,-radius*math.sqrt(3.)]] + + +Créer les 7 copies de ``d`` et opérer la "translation" correspondante. :: + + ds = len(translationToPerform)*[None] + for pos,t in enumerate(translationToPerform): + ds[pos] = d[:] # Perform a deep copy of d and place it at position 'pos' in ds + ds[pos] += t # Adding a vector to a set of coordinates does a translation. t could have been a DataArrayDouble too. + pass + +.. note:: Le ``pass`` à la fin de la boucle ``for`` n'est pas indispensable mais aide certains éditeurs à indenter le code. + +Une autre façon de faire un peu plus compacte (pour les amoureux des *one-liner*) : :: + + ds = [d + translationToPerform[i] for i in xrange(len(translationToPerform))] + +Agrégation de tableaux +~~~~~~~~~~~~~~~~~~~~~~ + +A partir de la liste d'instances de DataArrayDouble ``ds`` construire le DataArrayDouble ``d2`` résultat de l'*agrégation* des instances les unes à la suite des autres. :: + + d2 = mc.DataArrayDouble.Aggregate(ds) + +``d2`` contient désormais l'ensemble des tuples (6*7 de 2 composantes chacun) des +instances contenues dans ``ds``, en respectant l'ordre dans ``ds``. Cela parait évident, mais +l'agrégation de maillages et de champs respecte exactement le même principe pour +faciliter l'accès et le repérage des données. C'est par exemple une différence essentielle avec le +modèle MED fichier comme on le verra plus tard. + +.. note:: La méthode similaire permettant d'agréger par composante (plutôt que par tuples) s'appelle ``Meld()``. + +Trouver les tuples égaux +~~~~~~~~~~~~~~~~~~~~~~~~ + +La variable ``d2`` contient 42 tuples mais certains tuples apparaissent plusieurs fois. +Pour trouver les tuples égaux à 1e-12 près (précision absolue) invoquer ``findCommonTuples()``. +Utiliser ``help(mc.DataArrayDouble.findCommonTuples)`` pour en connaitre l'interface. Stocker le retour de la fonction dans +``c`` et ``cI`` :: + + oldNbOfTuples = d2.getNumberOfTuples() + c,cI = d2.findCommonTuples(1e-12) + +On a ainsi récupéré dans ``c`` l'ensemble des m=12 groupes de noeuds communs accollés. ``cI`` contient les index pour repérer les identifiants de points dans ``c`` pour tout groupe +``i`` dans [0,12). Ainsi les identifiants de tuples du groupe ``i`` commencent à l'index ``cI[i]`` et finissent à l'index ``cI[i+1]``. + +La méthode ``findCommonTuples()`` retourne ainsi 2 paramètres: un tableau contenant la liste des tuples communs +et un tableau d'index qui permet de naviguer dans le premier tableau. +Il s'agit d'une forme de retour très classique dans MEDCoupling, appelée *indirect indexing*. Cela apparaît souvent dans la manipulation des +maillages non structurés. Cette représentation est rappelée sur l'image ci-dessous, où le premier tableau et en haut, +et le deuxième tableau permettant de la parcourir en bas: + +.. image:: images/IndirectIndex.jpg + :scale: 50 + + +.. note:: Le dernier élément de ``cI`` pointe en dehors du tableau ``c``. Ce dernier index est toujours présent + et permet de s'assurer que des traitements tels que les *slices* présentés juste après, sont toujours valables, + sans avoir besoin de particulariser le dernier groupe. + + +.. _indirect-index-exo: + +Manipuler le format "indirect index" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Le nombre de tuples communs à 1e-12 près est donc égal à ``len(cI)-1``, c'est-à-dire 12 dans notre cas. +Récupérer la liste des identifiants de tuples du groupe 0 et mettre le résultat dans la variable ``tmp``. +Afficher ``tmp``. :: + + tmp = c[cI[0]:cI[0+1]] + print tmp + +Vérifier, en l'affichant, que pour tous les identifiants de tuples dans ``tmp``, leurs tuples sont bien égaux dans ``d2``. :: + + print d2[tmp] + +.. note:: On voit que le tuple (3.,0.) à 1e-12 près est répété 3 fois et ``tmp`` donne les positions respectives de + ces 3 répétitions. + +Maintenant on va déduire des variables ``oldNbOfTuples``, ``c`` et ``cI`` le nombre de tuples effectivement différents dans d2. +Pour ce faire, nous allons trouver le nombre de tuples doublons dans ``d2`` et soustraire le résultat de ``oldNbOfTuples``. + +Pour connaître le nombre de doublons, invoquer ``DataArrayInt.deltaShiftIndex`` qui retourne pour chaque groupe sa taille. +Mettre le résultat dans ``a``. :: + + a = cI.deltaShiftIndex() + +Déduire de ``a`` le nombre de tuples doublons dans ``d2`` par groupe et mettre le résultat dans ``b``. :: + + b = a-1 + +Enfin on peut trouver le nouveau nombre de tuples grâce à ``b`` et à ``oldNbOfTuples``. Mettre le résultat dans ``myNewNbOfTuples``. :: + + myNewNbOfTuples = oldNbOfTuples - sum(b.getValues()) + +Construire un tableau "old-2-new" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Nous allons maintenant exploiter cette information pour extraire un seul +représentant dans chaque groupe de points dupliqués. + +Les deux tableaux ``c`` et ``cI`` définissent une surjection d'un espace de départ à 42 (``oldNbOfTuples``) tuples X +vers un espace à 24 (``myNewNbOfTuples``) tuples Y. + +.. image:: images/SurjectionDataArray.png + +L'autre manière de définir cette surjection (sans perte d'information) est de la représenter par un tableau "old-2-new". +Ce mode de stockage prend la forme d'un DataArrayInt ``o2n`` composé de Card(X) tuples (i.e. 42) à une composante. +Pour chaque tuple (élément) d'index ``i`` de ``o2n``, la case ``o2n[i]`` contient le nouvel identifiant de tuple dans Y. +On va donc d'un ancien identifiant (old) vers un nouveau (new). + +Nous allons construire ce tableau pour extraire un sous-ensemble des coordonnées de départ, et ne garder que les +tuples uniques (non doublons) dans l'ensemble de départ. + +.. note:: Pour toutes les opérations de renumérotation en MEDCoupling (bijection), + le format "old-2-new" est systématiquement utilisé. + +La méthode statique ``DataArrayInt.BuildOld2NewArrayFromSurjectiveFormat2()`` (nom un peu barbare, on vous l'accorde) +permet de passer du mode de stockage de cette surjection ``c``, ``cI`` au format ``o2n``. +On récupère au passage card(Y) c'est-à-dire le ``newNbOfTuples``. :: + + o2n, newNbOfTuples = mc.DataArrayInt.BuildOld2NewArrayFromSurjectiveFormat2(oldNbOfTuples,c,cI) + print "Have I got the right number of tuples?" + print "myNewNbOfTuples = %d, newNbOfTuples = %d" % (myNewNbOfTuples, newNbOfTuples) + assert(myNewNbOfTuples == newNbOfTuples) + +Nous pouvons maintenant constuire le tableau de points uniques ``d3``. A l'aide de ``o2n`` +et ``newNbOfTuples``, invoquer ``DataArrayDouble.renumberAndReduce()`` sur ``d2``. :: + + d3 = d2.renumberAndReduce(o2n, newNbOfTuples) + +L'inconvénient de cette méthode c'est que finalement on ne connait pas pour chaque groupe de tuple communs dans +d2 quel identifiant a été utilisé. +Par exemple pour le groupe 0 on sait que les tuples 0, 8 et 16 (tmp.getValues()) sont tous égaux, et on ne sait +pas si 0, 8 ou 16 a été utilisé pour remplir ``d3``. + +Si l'on souhaite expliciter ce choix, on peut passer en format "new-2-old". Ce mode de stockage prend la forme d'un +``DataArrayInt`` ``n2o`` composé de Card(Y) +tuples (24) à 1 composante. Pour chaque tuple (élément) d'index i de ``n2o``, la case ``n2o[i]`` contient l'index du tuple qui a été choisi dans X. + +Pour passer d'une description "old-2-new" vers "new-2-old", la méthode est ``DataArrayInt.invertArrayO2N2N2O()``. +Effectuer ce traitement sur la variable ``o2n``. :: + + n2o = o2n.invertArrayO2N2N2O(newNbOfTuples) + +A l'aide de ``n2o`` on peut construire un ``d3_bis`` à partir de ``d2``, et qui contient la même chose que le ``d3`` précédent. :: + + d3_bis = d2[n2o] + print "Are d3 and d3_bis equal ? %s" % (str(d3.isEqual(d3_bis, 1e-12))) + +Translater tous les tuples +~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Tous les tuples (ou nodes) sont à translater du vecteur [3.3,4.4] afin de recentrer toute la figure en ce point. :: + + d3 += [3.3,4.4] + +Constuire un maillage non strucuturé +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +On chercher maintenant à créer le maillage final montré dans la figure. Nous avons déjà construit le tableau +de coordonnées, il nous reste les cellules à créer. + +Créer un maillage non structuré ``m`` avec les coordonnées ``d3``. Le maillage``m`` a une mesh-dimension 2 :: + + m = mc.MEDCouplingUMesh("My7hexagons",2) + m.setCoords(d3) + print "Mesh dimension is", m.getMeshDimension() + print "Spatial dimension is", m.getCoords().getNumberOfComponents() + +Maintenant, allouer le nombre de cellules avec (un majorant du) nombre attendu de cellules. :: + + m.allocateCells(7) + +Enfin grâce à ``o2n`` on a la *connectivité* (i.e. la liste des points formant un hexagone) +des 7 hexagones utilisant les coordonnées ``d3``. :: + + for i in xrange(7): + cell_connec = o2n[6*i:6*(i+1)] + m.insertNextCell(mc.NORM_POLYGON, cell_connec.getValues()) + pass + m.finishInsertingCells() + +.. note:: Après SALOME 6.6, l'appel à ``MEDCouplingUMesh.finishInsertingCells()`` n'est plus nécessaire. + +Vérifier que ``m`` est correct et ne contient pas d'anomalie. :: + + m.checkCoherency() + +.. note:: Il est toujours une bonne idée d'appeler cette méthode après la construction "from scratch" d'un maillage. + Cela assure qu'il n'y a pas de gros "couacs" dans la connectivité, etc ... + +Pour vérifier *visuellment* que ``m`` est correct, l'écrire dans un fichier "My7hexagons.vtu" et le visualiser dans ParaViS. :: + + m.writeVTK("My7hexagons.vtu") + +.. note:: On a écrit ici dans un fichier VTU et non MED, car MEDCoupling n'inclut pas par défaut les services de MED fichier. + Bien que l'on écrive au format VTK (\*.vtu), MEDCoupling ne dépend pas de VTK. + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingdataarray1_solution` diff --git a/doc/tutorial/medcoupling_en.rst b/doc/tutorial/medcoupling_en.rst new file mode 100644 index 000000000..f46e42780 --- /dev/null +++ b/doc/tutorial/medcoupling_en.rst @@ -0,0 +1,19 @@ + + +Creating, Playing with DataArrays, Meshes and Fields with the MEDCoupling library +================================================================================== + +The objective of these exercises is to learn to manipulate MEDCoupling objects in Python. + + * the first exercise shows how to manipulate DataArrayDouble objects, + * the second shows how to manipulate MEDCouplingUMesh objects, + * and the third shows how to manipulate MEDCouplingFieldDouble objects. + + +.. toctree:: + :maxdepth: 2 + + medcoupling_dataarray1_en + medcoupling_umesh1_en + medcoupling_fielddouble1_en + diff --git a/doc/tutorial/medcoupling_fielddouble1_en.rst b/doc/tutorial/medcoupling_fielddouble1_en.rst new file mode 100644 index 000000000..7f3bca89c --- /dev/null +++ b/doc/tutorial/medcoupling_fielddouble1_en.rst @@ -0,0 +1,181 @@ + +Playing with fields +------------------- + +In MEDCoupling fields are directly supported by a mesh. That is a major difference +with the field notion in MED file. + +Fields instances are well suited: + * for high level services where an interaction with the mesh is requested as in getValueOn(), getValueOnMulti(), integral(), normL1(), normL2(), fillFromAnalytic(), changeUnderlyingMesh(), ... + * to precisely transmit information between components when coupling codes. + +For information, the MEDCouplingFieldDouble implementation is tiny since +it delegates most of its work to MEDCouplingMesh, DataArrayDouble, MEDCouplingSpatialDiscretization classes. +MEDCouplingFieldDouble insure the coherency in this model. +It is often possible and even advised to manipulate the array and mesh of a MEDCouplingFieldDouble directly. + +Objective +~~~~~~~~~ + +This exercise focuses on the relationship between a mesh and the values of a field. + +* Create a field +* Aggregate fields +* Build parts of a field +* Renumbering a field +* Compare two fields coming from 2 sources +* Evaluation of a field on a point set +* Explode a field + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +Import the MEDCoupling Python module. :: + + from MEDCoupling import * + +We are going to create a MEDCouplingUMesh from a 3D cartesian mesh. Each direction will contain 10 cells and 11 nodes. The generated MEDCouplingUMesh +will contain 1000 cells. :: + + xarr=DataArrayDouble.New(11,1) + xarr.iota(0.) + cmesh=MEDCouplingCMesh.New() + cmesh.setCoords(xarr,xarr,xarr) + mesh=cmesh.buildUnstructured() + +In order to put the focus on mixed types, cells with an even id will be converted to polyhedrons :: + + mesh.convertToPolyTypes(DataArrayInt.Range(0,mesh.getNumberOfCells(),2)) + +Creation of a field +~~~~~~~~~~~~~~~~~~~ + +Create a field called "MyField" by application of an analytic function "(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)". +Two possibilities : + +* Directly by calling fillFromAnalytic on a mesh :: + + f=mesh.fillFromAnalytic(ON_CELLS,1,"(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)") + f.setName("MyField") + +* Or by building a new instance :: + + f2=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME) + f2.setMesh(mesh) + f2.setName("MyField2") + f2.fillFromAnalytic(1,"(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)") + +Compare the two fields: +Compare f and f2 with a precision of 1e-12 on coordinates and 1e-12 on values. :: + + print "f and f2 are equal: %s"%(f.isEqualWithoutConsideringStr(f2,1e-12,1e-12)) + +Builing of a subpart of a field +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Store in ids1 the list of tuple ids whose value is within [0.0,5.0] (DataArrayDouble.getIdsInRange) . From ids1 build the sub-part fPart1 of the field "f". :: + + ids1=f.getArray().getIdsInRange(0.,5.) + fPart1=f.buildSubPart(ids1) + +.. image:: images/FieldDouble1_1.png + +Select the part "fPart2" of the field "f" whose values are in [50.,infinity). :: + + ids2=f.getArray().getIdsInRange(50.,1.e300) + fPart2=f.buildSubPart(ids2) + +Renumbering cells +~~~~~~~~~~~~~~~~~ + +The generated file "fPart1" is valid for MEDCoupling, but its cells are not sorted by geometric type: it is not valid from a MED file point of view. By using MEDCouplingUMesh.sortCellsInMEDFileFrmt and DataArrayDouble.renumberInPlace +renumber manually fPart1 starting from a deep copy of fPart1. :: + + fPart1Cpy=fPart1.deepCpy() + o2n=fPart1Cpy.getMesh().sortCellsInMEDFileFrmt() + fPart1Cpy.getArray().renumberInPlace(o2n) + +"fPart1Cpy" is now normalized to be stored in a MED file (we will tackle this later). +Check that fPart1Cpy and fPart1 are the same (discarding any permutation): :: + + fPart1Cpy.substractInPlaceDM(fPart1,12,1e-12) + fPart1Cpy.getArray().abs() + print "Fields are the same? %s"%(fPart1Cpy.getArray().accumulate()[0]<1e-12) + +.. note:: This is in fact a very special case of interpolation. Except that here + we assume that the supports of "fPart1" and "fPart1Cpy" are equal, discarding any + cell and/or node permutation. + +Aggregate Fields +~~~~~~~~~~~~~~~~ + +Aggregate fields "fPart1" and "fPart2". The result is stored in "fPart12". :: + + fPart12=MEDCouplingFieldDouble.MergeFields([fPart1,fPart2]) + +.. image:: images/FieldDouble1_2.png + +.. note:: Apologies for the name MEDCouplingFieldDouble.MergeFields instead of + AggregateFields. + +Evaluation of a MEDCouplingFieldDouble on given space points +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Evaluate the values of the computed field "fPart12" on the barycenters of its mesh. +Evaluate the field "f" on the same barycenters. The method used is MEDCouplingFieldDouble.getValueOnMulti(). :: + + bary=fPart12.getMesh().getBarycenterAndOwner() + arr1=fPart12.getValueOnMulti(bary) + arr2=f.getValueOnMulti(bary) + delta=arr1-arr2 + delta.abs() + print "Check OK: %s"%(delta.accumulate()[0]<1e-12) + +.. note:: In this context and for example for a field on cells, "evaluate" at a point means returning the value of the cell containing the point. +.. note:: This technique can be used to quickly assess the quality of an interpolation. + +Operations on a field +~~~~~~~~~~~~~~~~~~~~~ + +Compute the integral of the field "fPart12" and compute it a second time by using +DataArrayDouble.accumulate on the underlying DataArrayDouble of this "fPart12" (remember that the cell volumes are all 1.0). +To show the link with the underlying mesh, scale the underlying mesh (fPart12.getMesh()) by 1.2 and centered at [0.,0.,0.]. +Recompute the integral. +:: + + fPart12.integral(0,True) + fPart12.getArray().accumulate() + fPart12.getMesh().scale([0.,0.,0.],1.2) + abs(fPart12.integral(0,True)-fPart12.getArray().accumulate()[0]*1.2*1.2*1.2)<1e-8 + +Exploding a field +~~~~~~~~~~~~~~~~~ + +Starting from "mesh", create a vector field on cells "fVec" with 3 components representing the displacement between each cell's barycenter and the point [5.,5.,5.]. Use MEDCouplingMesh.fillFromAnalytic(). :: + + fVec=mesh.fillFromAnalytic(ON_CELLS,3,"(x-5.)*IVec+(y-5.)*JVec+(z-5.)*KVec") + +Create the reduction of "fVec" ("fVecPart1") on cell IDs "ids1" (previously obtained). :: + + fVecPart1=fVec.buildSubPart(ids1) + fVecPart1.setName("fVecPart1") + +Build the scalar field fPart1Exploded having the same values as "fPart1" but supported by an exploded mesh (in comparison to fPart1.getMesh()). +To explode the underlying mesh fPart1.getMesh(), use the vectorial displacement field "fVecPart1" in order to apply to each cell the proper translation. :: + + cells=fPart1.getMesh().getNumberOfCells()*[None] + for icell,vec in enumerate(fVecPart1.getArray()): + m=fPart1.getMesh()[[icell]] + m.zipCoords() # pas absolument nécessaire mais permet d'être économe en mémoire + m.translate(vec) + cells[icell]=m + pass + meshFVecPart1Exploded=MEDCouplingUMesh.MergeUMeshes(cells) + fPart1.setMesh(meshFVecPart1Exploded) + +.. image:: images/FieldDouble1_1_exploded.png + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingfielddouble1_solution` diff --git a/doc/tutorial/medcoupling_fielddouble1_fr.rst b/doc/tutorial/medcoupling_fielddouble1_fr.rst new file mode 100644 index 000000000..d6bf354e1 --- /dev/null +++ b/doc/tutorial/medcoupling_fielddouble1_fr.rst @@ -0,0 +1,246 @@ + +Manipuler des champs de double +------------------------------ + +Les champs dans MEDCoupling ont comme support un unique maillage, de dimension fixée, et bien défini. +Cela semble trivial mais c'est en fait une différence majeure avec la notion de champ dans MED fichier, qui elle est beaucoup +plus permissive. + +Les champs sont utiles pour : + +* stocker des valeurs d'une grandeur physique relative au problème traité, mais aussi +* des services de haut niveau où l'interaction avec les maillages + est requise comme par exemple ``getValueOn()``, ``getValueOnMulti()``, ``integral()``, ``getMeasureField`` + ``normL1()``, ``normL2()``, ``fillFromAnalytic()``, ... qui calculent toutes des valeurs en lien avec le maillage + (par exemple le *volume* des cellules) +* expliciter précisément les informations échangées entre les différents codes + lors de couplage. + +Pour information, l'implémentation de ``MEDCouplingFieldDouble`` est relativement petite car cette classe +délègue la très large majorité de ses traitements à des instances de classes aggrégées +comme ``MEDCouplingMesh``, ``DataArrayDouble``, et ``MEDCouplingSpatialDiscretization``. +La classe ``MEDCouplingFieldDouble`` permet d'assurer la cohérence entre tous ces éléments. + + +Il est souvent possible et même parfois recommandé de manipuler les tableaux (un ``DataArrayDouble``) +et/ou le maillage d'une instance de ``MEDCouplingFieldDouble`` directement. + +Objectifs +~~~~~~~~~ + +Cet exercice met l'accent sur la relation entre le maillage et les valeurs d'un champ. + +* Créer un champ +* Agréger des champs +* Construire une sous-partie d'un champ +* Renuméroter les entités d'un champ +* Comparer 2 champs venant de 2 sources différentes +* Evaluation d'un champ sur un ensemble de points +* Exploser un champ + +Début de l'implementation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Importer le module Python ``MEDCoupling``. :: + + import MEDCoupling as mc + +Créer un ``MEDCouplingUMesh`` à partir d'un maillage 3D cartésien. Chaque direction contiendra 10 cells +et 11 nodes. Le ``MEDCouplingUMesh`` résultant contiendra ainsi 1000 cells. :: + + xarr = mc.DataArrayDouble.New(11,1) + xarr.iota(0.) # Generate s, s+1, s+2, ... with a given start value s + cmesh = mc.MEDCouplingCMesh.New() + cmesh.setCoords(xarr,xarr,xarr) + mesh = cmesh.buildUnstructured() + +.. note:: La méthode ``MEDCouplingMesh.buildUnstructured()`` est très utile pour construire rapidement un maillage + non structuré afin de tester quelque chose. + +Afin de mettre en évidence le problème des types géométriques multiples, convertir en polyhèdres +les cellules d'identifiant pair :: + + mesh.convertToPolyTypes(mc.DataArrayInt.Range(0,mesh.getNumberOfCells(),2)) + + +Création d'un champ +~~~~~~~~~~~~~~~~~~~ + +Créer un champ scalaire (une seule composante) aux cellules (P0) appelé "MyField" en appliquant la fonction analytique +suivante ``(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)``, où ``(x, y, z)`` représente implicitement les coordonnées du barycentre +d'une cellule. +Pour cela, deux possiblités : + +* Directement en appelant ``fillFromAnalytic()`` sur un maillage :: + + f = mesh.fillFromAnalytic(mc.ON_CELLS,1,"(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)") # 1 means that the field should have one component + f.setName("MyField") + +* Ou en créant au préalable un champ non initialisé, et en appliquant ``fillFromAnalytic()`` sur cette + instance de ``MEDCouplingFieldDouble`` :: + + f2 = mc.MEDCouplingFieldDouble(mc.ON_CELLS, mc.ONE_TIME) + f2.setMesh(mesh) + f2.setName("MyField2") + f2.fillFromAnalytic(1,"(x-5.)*(x-5.)+(y-5.)*(y-5.)+(z-5.)*(z-5.)") # 1 means that the field should have one component + +Comparer les deux champs : comparer ``f`` et ``f2`` avec une précision de 1e-12 sur les coordonnées et +de 1e-13 sur les valeurs. :: + + print "Are f and f2 equal?", f.isEqualWithoutConsideringStr(f2,1e-12,1e-13) + + +.. note:: Le ``WithoutConsideringStr`` dans le nom de la méthode précédente indique que les noms des champs ne seront + pas comparés. On retrouve ce suffixe dans d'autres méthodes MEDCoupling. + + +Construire une sous-partie d'un champ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Récupérer dans une variable ``ids1`` la liste des identifiants de cellules pour lesquelles la valeur du champ est dans le +range [0.0,5.0]. Utiliser pour cela la méthode ``DataArrayDouble.getIdsInRange()``. Avec ce résultat, construire la +sous-partie ``fPart1`` du champ ``f``. :: + + da1 = f.getArray() # a DataArrayDouble, which is a direct reference (not a copy) of the field's values + ids1 = da1.getIdsInRange(0., 5.) + fPart1 = f.buildSubPart(ids1) + fPart1.writeVTK("ExoField_fPart1.vtu") + +.. image:: images/FieldDouble1_1.png + +Sélectionner la partie ``fPart2`` du champ ``f`` dont toutes les valeurs de tuples +sont dans ``[50.,+infinity)``. :: + + ids2 = f.getArray().getIdsInRange(50., 1.e300) + fPart2 = f.buildSubPart(ids2) + +Ce genre de technique permet d'extraire facilement les parties d'un champ relatives à un groupe de mailles par exemple. + +Renuméroter les entités d'un champ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +La partie ``fPart1`` générée est valide d'un point de vue de MEDCoupling. Mais elle +n'est pas valide d'un point de vue de MED *fichier*. +Une renumérotation s'impose dans l'hypothèse de stocker ce champs dans un fichier MED afin d'ordonner les cellules +par type géométrique. + +L'idée est d'utiliser les deux méthodes ``MEDCouplingUMesh.sortCellsInMEDFileFrmt()`` et +``DataArrayDouble.renumberInPlace()`` pour renuméroter manuellement une *copie* de ``fPart1``: :: + + fPart1Cpy = fPart1.deepCpy() + o2n = fPart1Cpy.getMesh().sortCellsInMEDFileFrmt() + fPart1Cpy.getArray().renumberInPlace(o2n) + +``fPart1Cpy`` est désormais normalisé pour être stocké dans un fichier MED (ce que nous verrons plus loin) + +Vérifier que ``fPart1Cpy`` et ``fPart1`` sont les mêmes à une permutation près (``MEDCouplingFieldDouble.substractInPlaceDM()``) :: + + fPart1Cpy.substractInPlaceDM(fPart1,12,1e-12) + fPart1Cpy.getArray().abs() + print "Equal field ? %s" % (fPart1Cpy.getArray().accumulate()[0]<1e-12) + +.. note:: La renumérotation effectuée ici représente en fait d'un cas très particulier + d'interpolation. Effectivement l'hypothèse est faite que les supports + de ``fPart1`` et ``fPart1Cpy`` sont égaux à une permutation de cellule + et/ou noeuds. + +Agréger des champs +~~~~~~~~~~~~~~~~~~ + +Agréger ``fPart1`` et ``fPart2`` (utiliser ``MEDCouplingFieldDouble.MergeFields()``). Et mettre le résultat de l'agrégation +dans ``fPart12``. :: + + fPart12 = mc.MEDCouplingFieldDouble.MergeFields([fPart1,fPart2]) + fPart12.writeVTK("ExoField_fPart12.vtu") + +.. note:: La méthode ``MEDCouplingFieldDouble.MergeFields()`` devrait vraiment se + nommer ``MEDCouplingFieldDouble.AggregateFields()`` ... + +.. image:: images/FieldDouble1_2.png + +Evaluation d'un champ en des points donnés de l'espace +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Evaluer la valeur du champ ``fPart12`` calculé précédemment sur les barycentres des cellules de son +maillage (variable ``bary``) et mettre le résultat dans ``arr1``. +Utiliser pour cela les méthodes ``MEDCouplingFieldDouble.getValueOnMulti()`` et ``MEDCouplingMesh.getBarycenterAndOwner()``. + +De manière similaire, évaluer ensuite directement le champ ``f`` en utilisant la même liste de points +que précédemment (``bary``) et mettre le résultat dans ``arr2``. + +Vérifier ensuite que ``arr1`` et ``arr2`` sont bien égaux: :: + + bary = fPart12.getMesh().getBarycenterAndOwner() + arr1 = fPart12.getValueOnMulti(bary) + arr2 = f.getValueOnMulti(bary) + delta = arr1-arr2 + delta.abs() + print "Is field evaluation matching?", (delta.accumulate()[0]<1e-12) + +.. note:: Dans ce contexte, et pour un champ aux cellules (P0) par exemple, "évaluer" en un point signifie retourner la valeur + de la cellule contenant le point donné. + Pour les champs aux noeuds (P1), les cellules doivent être de types simples (triangles, tétraèdres) et une interpolation + linéaire est alors utilisée. + +.. note:: Cette technique peut être utilisée pour juger rapidement de la qualité d'une interpolation. + +Opérations sur les champs +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Calculer l'intégrale du champ ``fPart12`` sur le maillage, et la retrouver d'une autre manière en utilisant +la méthode ``DataArrayDouble.accumulate()`` sur le tableau de valeurs de ce champ. +On rappelle que, vu le maillage simplifié en jeu, les cellules ont toutes un volume unité. :: + + integ1 = fPart12.integral(0,True) + integ1_bis = fPart12.getArray().accumulate()[0] + print "First integral matching ?", ( abs(integ1 - integ1_bis) < 1e-8 ) + +Ensuite appliquer une homotétie de facteur 1.2 centrée en [0.,0.,0.] sur le support de ``fPart12`` (c'est-à-dire son maillage). +Quelle est alors la nouvelle valeur de l'intégrale ? :: + + fPart12.getMesh().scale([0.,0.,0.], 1.2) + integ2 = fPart12.integral(0,True) + print "Second integral matching ?", ( abs(integ2-integ1_bis*1.2*1.2*1.2) < 1e-8 ) + +Exploser un champ - Vecteurs de déplacement +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Nous allons maintenant créer un nouveau maillage représentant l'*éclaté* du maillage initial. + +Partant du maillage ``mesh`` créer un champ vectoriel aux cellules ``fVec`` ayant 3 composantes représentant +le vecteur déplacement entre le point [5.,5.,5.] et le barycentre de chaque cellule du maillage. +Utiliser la méthode ``MEDCouplingMesh.fillFromAnalytic()`` : :: + + fVec = mesh.fillFromAnalytic(mc.ON_CELLS,3,"(x-5.)*IVec+(y-5.)*JVec+(z-5.)*KVec") + +.. note:: Les identifiants spéciaux ``IVec``, ``JVec`` et ``KVec`` représentent les vecteurs unitaires du repère. + +Créer ensuite une réduction de ``fVec`` (nommée ``fVecPart1``) sur les cellules ``ids1`` précédemment obtenues : :: + + fVecPart1 = fVec.buildSubPart(ids1) + fVecPart1.setName("fVecPart1") + +Construire le champ scalaire ``fPart1Exploded`` ayant les mêmes valeurs que ``fPart1`` mais reposant sur un maillage *eclaté* +par rapport à celui de ``fPart1.getMesh()``. Pour exploser ``fPart1.getMesh()`` utiliser le champ de déplacement vectoriel +``fVecPart1`` afin d'appliquer à chaque cellule la translation associée. :: + + cells = fPart1.getMesh().getNumberOfCells() * [None] + for icell,vec in enumerate(fVecPart1.getArray()): + m = fPart1.getMesh()[[icell]] + m.zipCoords() # Not mandatory but saves memory + m.translate(vec) + cells[icell] = m + pass + meshFVecPart1Exploded = mc.MEDCouplingUMesh.MergeUMeshes(cells) + fPart1.setMesh(meshFVecPart1Exploded) + fPart1.writeVTK("ExoField_fPart1_explo.vtu") + +Et voilà ce que vous devriez obtenir: + +.. image:: images/FieldDouble1_1_exploded.png + :scale: 120 + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingfielddouble1_solution` diff --git a/doc/tutorial/medcoupling_fr.rst b/doc/tutorial/medcoupling_fr.rst new file mode 100644 index 000000000..6b2f89b83 --- /dev/null +++ b/doc/tutorial/medcoupling_fr.rst @@ -0,0 +1,19 @@ + + +MEDCoupling : créer et manipuler des DataArrays, des Meshes et des Fields +========================================================================= + +L'objectif de ces exercices est d'apprendre à manipuler les objets MEDCoupling en Python. + + * La première série d'exercices montre comment manipuler des tableaux ``DataArrayDouble`` et ``DataArrayInt``. + * La deuxième série d'exercices montre comment manipuler des maillages ``MEDCouplingUMesh``. + * La troisième série d'exercices montre comment manipuler des champs ``MEDCouplingFieldDouble``. + + +.. toctree:: + :maxdepth: 2 + + medcoupling_dataarray1_fr + medcoupling_umesh1_fr + medcoupling_fielddouble1_fr + diff --git a/doc/tutorial/medcoupling_umesh1_en.rst b/doc/tutorial/medcoupling_umesh1_en.rst new file mode 100644 index 000000000..ba42a5710 --- /dev/null +++ b/doc/tutorial/medcoupling_umesh1_en.rst @@ -0,0 +1,216 @@ + +Playing with unstructured mesh +------------------------------ + +Unstructured meshes are the most used mesh type. MEDCouplingUMesh is the name of the class representing unstuctured meshes in MEDCoupling. MEDCouplingUMesh inherits from the MEDCouplingPointSet class that deals with all methods handling coordinates only. +MEDCouplingUMesh adds two more attributes : +* nodal connectivity +* nodal connectivity index + +Objective +~~~~~~~~~ + +The aim here is to manipulate unstructured mesh instances to extract part of an unstructured mesh. +Several points will be covered in this exercise : + +* coordinates modification of an unstructured mesh +* extraction of a slice +* build a part of a mesh given cell ids +* playing with data, index arrays + +.. image:: images/UMesh1.png + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +Import the MEDCoupling Python module. :: + + from MEDCoupling import * + +We now build a mesh containing artificially two types of cell (NORM_HEXA8 and NORM_POLYHED) to highlight the possibility to work with non-homogeneous cell types. +mesh3D is an extruded mesh containing 18 cells composed into 3 levels along Z of 6 cells. +Copy paste the following lines. :: + + coords=[0.,0.,0., 1.,1.,0., 1.,1.25,0., 1.,0.,0., 1.,1.5,0., 2.,0.,0., 2.,1.,0., 1.,2.,0., 0.,2.,0., 3.,1.,0., + 3.,2.,0., 0.,1.,0., 1.,3.,0., 2.,2.,0., 2.,3.,0., + 0.,0.,1., 1.,1.,1., 1.,1.25,1., 1.,0.,1., 1.,1.5,1., 2.,0.,1., 2.,1.,1., 1.,2.,1., 0.,2.,1., 3.,1.,1., + 3.,2.,1., 0.,1.,1., 1.,3.,1., 2.,2.,1., 2.,3.,1., + 0.,0.,2., 1.,1.,2., 1.,1.25,2., 1.,0.,2., 1.,1.5,2., 2.,0.,2., 2.,1.,2., 1.,2.,2., 0.,2.,2., 3.,1.,2., + 3.,2.,2., 0.,1.,2., 1.,3.,2., 2.,2.,2., 2.,3.,2., + 0.,0.,3., 1.,1.,3., 1.,1.25,3., 1.,0.,3., 1.,1.5,3., 2.,0.,3., 2.,1.,3., 1.,2.,3., 0.,2.,3., 3.,1.,3., + 3.,2.,3., 0.,1.,3., 1.,3.,3., 2.,2.,3., 2.,3.,3.] + conn=[0,11,1,3,15,26,16,18, 1,2,4,7,13,6,-1,1,16,21,6,-1,6,21,28,13,-1,13,7,22,28,-1,7,4,19,22,-1,4,2,17,19,-1,2,1,16,17,-1,16,21,28,22,19,17, + 1,6,5,3,16,21,20,18, 13,10,9,6,28,25,24,21, 11,8,7,4,2,1,-1,11,26,16,1,-1,1,16,17,2,-1,2,17,19,4,-1,4,19,22,7,-1,7,8,23,22,-1,8,11,26,23,-1,26,16,17,19,22,23, + 7,12,14,13,22,27,29,28, 15,26,16,18,30,41,31,33, 16,17,19,22,28,21,-1,16,31,36,21,-1,21,36,43,28,-1,28,22,37,43,-1,22,19,34,37,-1,19,17,32,34,-1,17,16,31,32,-1,31,36,43,37,34,32, + 16,21,20,18,31,36,35,33, 28,25,24,21,43,40,39,36, 26,23,22,19,17,16,-1,26,41,31,16,-1,16,31,32,17,-1,17,32,34,19,-1,19,34,37,22,-1,22,23,38,37,-1,23,26,41,38,-1,41,31,32,34,37,38, + 22,27,29,28,37,42,44,43, 30,41,31,33,45,56,46,48, 31,32,34,37,43,36,-1,31,46,51,36,-1,36,51,58,43,-1,43,37,52,58,-1,37,34,49,52,-1,34,32,47,49,-1,32,31,46,47,-1,46,51,58,52,49,47, + 31,36,35,33,46,51,50,48, 43,40,39,36,58,55,54,51, 41,38,37,34,32,31,-1,41,56,46,31,-1,31,46,47,32,-1,32,47,49,34,-1,34,49,52,37,-1,37,38,53,52,-1,38,41,56,53,-1,56,46,47,49,52,53, + 37,42,44,43,52,57,59,58] + mesh3D=MEDCouplingUMesh.New("mesh3D",3); + mesh3D.allocateCells(18); + mesh3D.insertNextCell(NORM_HEXA8,conn[0:8]); mesh3D.insertNextCell(NORM_POLYHED,conn[8:51]); mesh3D.insertNextCell(NORM_HEXA8,conn[51:59]); mesh3D.insertNextCell(NORM_HEXA8,conn[59:67]); mesh3D.insertNextCell(NORM_POLYHED,conn[67:110]); mesh3D.insertNextCell(NORM_HEXA8,conn[110:118]); + mesh3D.insertNextCell(NORM_HEXA8,conn[118:126]); mesh3D.insertNextCell(NORM_POLYHED,conn[126:169]); mesh3D.insertNextCell(NORM_HEXA8,conn[169:177]); mesh3D.insertNextCell(NORM_HEXA8,conn[177:185]); mesh3D.insertNextCell(NORM_POLYHED,conn[185:228]); mesh3D.insertNextCell(NORM_HEXA8,conn[228:236]); + mesh3D.insertNextCell(NORM_HEXA8,conn[236:244]); mesh3D.insertNextCell(NORM_POLYHED,conn[244:287]); mesh3D.insertNextCell(NORM_HEXA8,conn[287:295]); mesh3D.insertNextCell(NORM_HEXA8,conn[295:303]); mesh3D.insertNextCell(NORM_POLYHED,conn[303:346]); mesh3D.insertNextCell(NORM_HEXA8,conn[346:354]); + mesh3D.finishInsertingCells(); + myCoords=DataArrayDouble.New(coords,60,3); + myCoords.setInfoOnComponents(["X [m]","Y [m]","Z [m]"]) + mesh3D.setCoords(myCoords); + mesh3D.orientCorrectlyPolyhedrons() + mesh3D.sortCellsInMEDFileFrmt() + mesh3D.checkCoherency() + renum=DataArrayInt.New(60) ; renum[:15]=range(15,30) ; renum[15:30]=range(15) ; renum[30:45]=range(45,60) ; renum[45:]=range(30,45) + mesh3D.renumberNodes(renum,60) + +Convert coordinate unit from meters to centimeters +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +It might seem stupid, but this comes up regularly when coupling... :: + + mesh3D.getCoords()[:]*=100. + mesh3D.getCoords().setInfoOnComponents(["X [cm]","Y [cm]","Z [cm]"]) + +.. note:: It is important to keep the DataArrayDouble instance up-to-date about the physical units to avoid ambiguity. The INTERP_KERNEL library includes a physical unit processor. + +Find the different Z levels in mesh3D and sort in increasing order +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +DataArrayDouble.getDifferentValues and DataArrayDouble.sort can help you! :: + + zLev=mesh3D.getCoords()[:,2] + zLev=zLev.getDifferentValues(1e-12) + zLev.sort() + +Extract the 6 cells of the second row along Oz +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +There are 3 possibilities to do that. We will see them from the simplest to the most complicated. + +* Using buildSlice3D: + +Simple method but a little costly. To do that simply define a plane having direction vector equal to [0.,0.,1.] and +going through point [0.,0.,(zLev[1]+zLev[2])/2]. This method retrieves 2 things : the slicemesh containing the result slicing mesh3D +and foreach 2D cell in slicemesh, the corresponding cell id into mesh3D. :: + + tmp,cellIdsSol1=mesh3D.buildSlice3D([0.,0.,(zLev[1]+zLev[2])/2],[0.,0.,1.],1e-12) + +* Using Barycenter of cells of mesh3D : + +Firstly, compute the barycenters of the 3D cells. Then select the 2nd component of the barycenter of the cells. +Finally select the tuple ids (corresponding to cell ids) falling in the range [zLev[1],zLev[2]]. :: + + bary=mesh3D.getBarycenterAndOwner() + baryZ=bary[:,2] + cellIdsSol2=baryZ.getIdsInRange(zLev[1],zLev[2]) + +* Using MEDCouplingExtrudedMesh : + +This is the safest method since it only uses the nodal connectivity to compute the extrusion. The coordinates are ignored. +Two things are needed to build a MEDCouplingExtrudedMesh. The 3D mesh you expect to be an extruded mesh, and a 2D mesh +lying on the same coordinates, from which the extrusion will be computed. +Let's begin with the build of the 2D mesh. We build it from all the nodes on a plane going through point [0.,0.,zLev[0]] and with normal vector [0.,0.,1.] (MEDCouplingUMesh.findNodesOnPlane()). +Then invoke MEDCouplingUMesh.buildFacePartOfMySelfNode to build mesh2D (read the documentation of buildFacePartOfMySelfNode()). :: + + nodeIds=mesh3D.findNodesOnPlane([0.,0.,zLev[0]],[0.,0.,1.],1e-10) + mesh2D=mesh3D.buildFacePartOfMySelfNode(nodeIds,True) + +Then it is possible to compute an extrusion from mesh3D and mesh2D. :: + + extMesh=MEDCouplingExtrudedMesh.New(mesh3D,mesh2D,0) + +Then simply request the 2nd row. :: + + cellIdsSol3=extMesh.getMesh3DIds()[mesh2D.getNumberOfCells():2*mesh2D.getNumberOfCells()] + +It is now possible to check that the 3 solutions are the same : :: + + for i in xrange(3): + exec("print cellIdsSol%s.getValues()"%(i+1)) + +Extract a sub-part of mesh3D +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Use the previously retrieved cell ids in cellIdsSol2 to compute a sub-part of mesh3D. :: + + mesh3DPart=mesh3D[cellIdsSol2] # equivalent to mesh3DPart=mesh3D.buildPartOfMySelf(cellIdsSol2,True) + +.. note:: The geometrical type doesn't play any role here. "mesh3DPart" now contains len(cellIdsSol2) cells. The cell #0 in "mesh3DPart" corresponds to the cell #cellIdsSol2[0] in "mesh3D" and so on ... "cellIdsSol2" can thus be seen as an array "new-to-old". + +At this point, "mesh3DPart" lies on the same coordinates, so mesh3DPart has 60 nodes whereas only 30 are necessary. To zip the orphan nodes in "mesh3DPart", simply invoke zipCoords(): :: + + mesh3DPart.zipCoords() + +At this point mesh3DPart only contains 30 nodes and 6 cells. To prepare to MED file I/O we have to check if mesh3DPart is ready to be written safely into a MED file (i.e. if the cells are indeed ordered by type). :: + + print mesh3DPart.checkConsecutiveCellTypesAndOrder([NORM_HEXA8,NORM_POLYHED]) + +Or: :: + + print mesh3DPart.checkConsecutiveCellTypes() + +You can also print the content of the mesh "mesh3Dpart": :: + + print mesh3DPart.advancedRepr() + +We see that mesh3DPart contains 6 cells, 4 HEXA8 then 2 POLYHED. Everything's OK: the cells are grouped by geometrical type. + +Extract the 3 cells in mesh3D whose barycenters are along the line (pt=[250.,150.,0.],v=[0.,0.,1.]) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +There are 2 solutions to do that. + +* using the barycenters of mesh3D again: same principle than above. :: + + baryXY=bary[:,[0,1]] + baryXY-=[250.,150.] + magn=baryXY.magnitude() + cellIds2Sol1=magn.getIdsInRange(0.,1e-12) + +* using extrusion extMesh: starting from the unique cell in mesh2D whose center is at [250.,150.,0.] MEDCouplingExtrudedMesh.getMesh3DIds retrieves the cell IDs sorted by slice. :: + + bary2=mesh2D.getBarycenterAndOwner()[:,[0,1]] + bary2-=[250.,150.] + magn=bary2.magnitude() + ids=magn.getIdsInRange(0.,1e-12) + idStart=int(ids) # ids is assumed to contain only one value, if not an exception is thrown + cellIds2Sol2=extMesh.getMesh3DIds()[range(idStart,mesh3D.getNumberOfCells(),mesh2D.getNumberOfCells())] + +Now, build the sub-part of mesh3D using cell IDs in cellIds2Sol1. :: + + mesh3DSlice2=mesh3D[cellIds2Sol1] + mesh3DSlice2.zipCoords() + +Duplicate "mesh3DSlice2" and translate it +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +This part of the exercise shows how to perform copy and aggregation. This can be useful to build complex meshes, or to get in a single object several mesh parts coming from several processors. + +Perform a deep copy of mesh3DSlice2. On this copy perform a translation v=[0.,1000.,0.]. +Then aggregate mesh3DSlice2 with its translated copy, using MEDCouplingUMesh.MergeUMeshes. :: + + mesh3DSlice2bis=mesh3DSlice2.deepCpy() + mesh3DSlice2bis.translate([0.,1000.,0.]) + mesh3DSlice2All=MEDCouplingUMesh.MergeUMeshes([mesh3DSlice2,mesh3DSlice2bis]) + +.. note:: My apologies for the name of the method MEDCouplingUMesh.MergeUMeshes. In Salome 7 it will be called AggregateUMeshes. For information, to merge two (or more) unstructured meshes, one has to invoke MergeUMeshes(), then mergeNodes() on the result, and finally zipConnectivity(). + + +Descending connectivity +~~~~~~~~~~~~~~~~~~~~~~~ + +The aim here is to retrieve the internal faces of mesh3D. +To this purpose, we build the "descending" mesh from "mesh3D" ("mesh3Dsurf"), i.e. the mesh with mesh dimension (mesh3D.getMeshDimension()-1) made of the faces of each cell in "mesh3D". +The method MEDCoupling.buildDescendingConnectivity builds this mesh and also returns the correspondences "mesh3D" <-> "mesh3DSurf". + +A face from "mesh3DSurf" is said to be internal if and only if it is shared by more than one 3D cell in "mesh3D" (see reverse descending connectivity (out parameter 3 et 4)). :: + + mesh3DSurf,desc,descIndx,revDesc,revDescIndx=mesh3D.buildDescendingConnectivity() + numberOf3DCellSharing=revDescIndx.deltaShiftIndex() + cellIds=numberOf3DCellSharing.getIdsNotEqual(1) + mesh3DSurfInside=mesh3DSurf[cellIds] + mesh3DSurfInside.writeVTK("mesh3DSurfInside.vtu") + +.. image:: images/mesh3DSurfInside.jpg + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingumesh1_solution` diff --git a/doc/tutorial/medcoupling_umesh1_fr.rst b/doc/tutorial/medcoupling_umesh1_fr.rst new file mode 100644 index 000000000..2e5fe1aea --- /dev/null +++ b/doc/tutorial/medcoupling_umesh1_fr.rst @@ -0,0 +1,291 @@ + +Manipuler les maillages non structurés +-------------------------------------- + +Les meshes non-structurées sont le type de maillage le plus utilisé. ``MEDCouplingUMesh`` est le nom de la classe en charge +de représenter ces maillages dans MEDCoupling. ``MEDCouplingUMesh`` hérite de la classe ``MEDCouplingPointSet``. +``MEDCouplingPointSet`` gère toutes les méthodes relatives au coordonnées. ``MEDCouplingUMesh`` a deux attributs en plus de +ceux de ``MEDCouplingPointSet`` permettant de décrire la liste des noeuds contribuants à une cellule (i.e. la *connectivité*). + +Objectifs +~~~~~~~~~ + +Le but ici est de manipuler des maillages non structurés (en extraire une partie, etc...). +Plusieurs points seront traités dans cet exercice : + +* modification des coordonnées d'un maillage +* extraction d'une coupe d'un maillage +* extraire une partie de maillage à partir d'identifiants de cellules +* manipuler les indices, etc ... +* manipulation de la connectivité descendante + +.. image:: images/UMesh1.png + :scale: 80 + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Importer le module Python ``MEDCoupling``. :: + + import MEDCoupling as mc + +Construire un maillage. Ce maillage ``mesh3D`` contient artificiellement 2 types de cellules (``mc.NORM_HEXA8`` et ``mc.NORM_POLYHED``) +pour appréhender le mélange de types geometriques. +``mesh3D`` est un *maillage extrudé* contenant 18 cellules composées de 3 niveaux selon Z, chaque niveau ayant 6 cellules. +Faire un bon gros copier-coller des lignes suivantes pour construire la mesh (l'intérêt de l'exercise vient après) : :: + + coords=[0.,0.,0., 1.,1.,0., 1.,1.25,0., 1.,0.,0., 1.,1.5,0., 2.,0.,0., 2.,1.,0., 1.,2.,0., 0.,2.,0., 3.,1.,0., + 3.,2.,0., 0.,1.,0., 1.,3.,0., 2.,2.,0., 2.,3.,0., + 0.,0.,1., 1.,1.,1., 1.,1.25,1., 1.,0.,1., 1.,1.5,1., 2.,0.,1., 2.,1.,1., 1.,2.,1., 0.,2.,1., 3.,1.,1., + 3.,2.,1., 0.,1.,1., 1.,3.,1., 2.,2.,1., 2.,3.,1., + 0.,0.,2., 1.,1.,2., 1.,1.25,2., 1.,0.,2., 1.,1.5,2., 2.,0.,2., 2.,1.,2., 1.,2.,2., 0.,2.,2., 3.,1.,2., + 3.,2.,2., 0.,1.,2., 1.,3.,2., 2.,2.,2., 2.,3.,2., + 0.,0.,3., 1.,1.,3., 1.,1.25,3., 1.,0.,3., 1.,1.5,3., 2.,0.,3., 2.,1.,3., 1.,2.,3., 0.,2.,3., 3.,1.,3., + 3.,2.,3., 0.,1.,3., 1.,3.,3., 2.,2.,3., 2.,3.,3.] + conn=[0,11,1,3,15,26,16,18, 1,2,4,7,13,6,-1,1,16,21,6,-1,6,21,28,13,-1,13,7,22,28,-1,7,4,19,22,-1,4,2,17,19,-1,2,1,16,17,-1,16,21,28,22,19,17, + 1,6,5,3,16,21,20,18, 13,10,9,6,28,25,24,21, 11,8,7,4,2,1,-1,11,26,16,1,-1,1,16,17,2,-1,2,17,19,4,-1,4,19,22,7,-1,7,8,23,22,-1,8,11,26,23,-1,26,16,17,19,22,23, + 7,12,14,13,22,27,29,28, 15,26,16,18,30,41,31,33, 16,17,19,22,28,21,-1,16,31,36,21,-1,21,36,43,28,-1,28,22,37,43,-1,22,19,34,37,-1,19,17,32,34,-1,17,16,31,32,-1,31,36,43,37,34,32, + 16,21,20,18,31,36,35,33, 28,25,24,21,43,40,39,36, 26,23,22,19,17,16,-1,26,41,31,16,-1,16,31,32,17,-1,17,32,34,19,-1,19,34,37,22,-1,22,23,38,37,-1,23,26,41,38,-1,41,31,32,34,37,38, + 22,27,29,28,37,42,44,43, 30,41,31,33,45,56,46,48, 31,32,34,37,43,36,-1,31,46,51,36,-1,36,51,58,43,-1,43,37,52,58,-1,37,34,49,52,-1,34,32,47,49,-1,32,31,46,47,-1,46,51,58,52,49,47, + 31,36,35,33,46,51,50,48, 43,40,39,36,58,55,54,51, 41,38,37,34,32,31,-1,41,56,46,31,-1,31,46,47,32,-1,32,47,49,34,-1,34,49,52,37,-1,37,38,53,52,-1,38,41,56,53,-1,56,46,47,49,52,53, + 37,42,44,43,52,57,59,58] + mesh3D = mc.MEDCouplingUMesh("mesh3D",3); + mesh3D.allocateCells(18); + mesh3D.insertNextCell(mc.NORM_HEXA8,conn[0:8]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[8:51]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[51:59]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[59:67]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[67:110]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[110:118]); + mesh3D.insertNextCell(mc.NORM_HEXA8,conn[118:126]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[126:169]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[169:177]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[177:185]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[185:228]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[228:236]); + mesh3D.insertNextCell(mc.NORM_HEXA8,conn[236:244]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[244:287]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[287:295]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[295:303]); mesh3D.insertNextCell(mc.NORM_POLYHED,conn[303:346]); mesh3D.insertNextCell(mc.NORM_HEXA8,conn[346:354]); + mesh3D.finishInsertingCells(); + myCoords = mc.DataArrayDouble(coords,60,3); + myCoords.setInfoOnComponents(["X [m]","Y [m]","Z [m]"]) + mesh3D.setCoords(myCoords); + mesh3D.orientCorrectlyPolyhedrons() + mesh3D.sortCellsInMEDFileFrmt() + mesh3D.checkCoherency() + renum = mc.DataArrayInt(60); renum[:15]=range(15,30) ; renum[15:30]=range(15) ; renum[30:45]=range(45,60) ; renum[45:]=range(30,45) + mesh3D.renumberNodes(renum,60) + +Convertir les unités +~~~~~~~~~~~~~~~~~~~~ + +On convertit ici les coordonnées de mètres en centimètres. +Cela paraît idiot mais c'est un très grand classique du couplage ... :: + + mesh3D.getCoords()[:] *= 100. + mesh3D.getCoords().setInfoOnComponents(["X [cm]","Y [cm]","Z [cm]"]) + +.. note:: Il est important de mettre à jour les informations sur les composantes des coordonnées (les unités) pour éviter toute ambiguïté. + INTERP_KERNEL library inclut un évaluateur d'unité. + +.. note:: Noter l'astuce sur la première ligne ``[:]`` afin de récupérer la version inscriptible des coordonnées + (et non une copie temporaire) + +Trouver les différents niveaux +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Le maillage est extrudé, il est donc très régulier, et aligné sur les axes Ox, Oy et Oz (cf figure). +On veut connaître quelles +sont les côtes Z des différentes couches de cubes. +Extraire les différents niveaux en Z dans ``mesh3D``, rangés de manière croissante. +Utiliser la méthode ``DataArrayDouble.getDifferentValues()`` and ``DataArrayDouble.sort()``. :: + + zLev = mesh3D.getCoords()[:,2] + zLev = zLev.getDifferentValues(1e-12) + zLev.sort() # In-place sort + +Extraire des identifiants de cellules +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Extraire les 6 identifiants des cellules de la seconde rangée suivant Oz. +Il y a 3 possibilités pour faire cela. Nous allons les voir du plus simple au plus complexe. + +* En utilisant ``buildSlice3D()`` : + Méthode très simple mais gourmande en CPU. Pour trouver la solution il suffit de définir un plan dont le vecteur normal est ``[0.,0.,1.]`` + et passant par le point ``[0., 0., (zLev[1]+zLev[2])/2]``. + La méthode retourne deux choses : le maillage de coupe ``tmp`` (un maillage de mesh-dimension 2, mais de dimension spatiale + 3) et pour chaque cellule 3D surfacique de ``tmp``, l'identifiant de la cellule 3D (=un volume) coupée dans le + maillage de départ :: + + tmp, cellIdsSol1 = mesh3D.buildSlice3D([0.,0.,(zLev[1]+zLev[2])/2], [0.,0.,1.], 1e-12) + +* En utilisant les barycentres des cellules de ``mesh3D`` : + L'utilisation des barycentres est une technique classique pour identifier un ensemble de cellules répondant à certains + critères géométriques. + Il s'agit d'abord de calculer les barycentres des cellules 3D de ``mesh3D`` (méthode + ``MEDCouplingUMesh.getBarycenterAndOwner()``). + (*Note*: le nom -- un peu trop long -- de cette méthode hérite du passé. Le "AndOwner" indique le fait qu'en C++ + l'appelant est responsable de la désallocation de l'objet retourné : il prend l'*ownership* du résultat). + + Ensuite sélectionner la composante #2 des barycentres des cellules et mettre le résultat dans ``baryZ``. + Ensuite il suffit de selectionner dans ``baryZ`` les tuples qui sont dans l'intervalle ``[zLev[1], zLev[2]]``. + Les identifiants de ces tuples (i.e. leur index dans ``baryZ``) est directement un identifiant de cellule + car ``getBarycenterAndOwner()`` retourne un tableau indéxé par les numéros de cellule.:: + + bary = mesh3D.getBarycenterAndOwner() + baryZ = bary[:,2] + cellIdsSol2 = baryZ.getIdsInRange(zLev[1], zLev[2]) + +* En utilisant ``MEDCouplingExtrudedMesh`` : + C'est la méthode exclusivement basée sur la connectivité nodale pour déduire l'extrusion. Les coordonnées sont ici ignorées. + Pour construire un ``MEDCouplingExtrudedMesh`` deux objets sont requis. Le maillage non-structuré 3D + représentant en fait un maillage *extrudé*, et un maillage non structuré 3D surfacique (mesh-dim 2) + reposant sur les mêmes coordonnéees, à partir duquel l'extrusion sera calculée. + Commencer par construire le maillage 3D surfacique. Pour ce faire il suffit de repérer les noeuds appartenant + à 1e-10 près de plan de vecteur normal ``[0.,0.,1.]`` et passant + par ``[0.,0.,zLev[0]]`` (``MEDCouplingUMesh.findNodesOnPlane()``). Ensuite appeler ``MEDCouplingUMesh.buildFacePartOfMySelfNode()`` + pour construire ``mesh2D`` (lire la doc de la fonction). :: + + nodeIds = mesh3D.findNodesOnPlane([0., 0., zLev[0]], [0.,0.,1.], 1e-10) + mesh2D = mesh3D.buildFacePartOfMySelfNode(nodeIds, True) + + + Il est alors possible de construire un maillage extrudé ``extMesh`` à partir de ``mesh3D`` et de ``mesh2D``. + Un maillage extrudé se construit en *reconnaissant* un maillage non structuré comme étant l'extrusion d'un maillage + de dimension ``n-1`` (avec ``n`` la dimension initiale de ``mesh3D``, ici 3). Si cela n'est pas le cas, la construction + plante. Le maillage 2D est forcément en haut ou en bas du 3D volumique, et le dernier entier spécifie la cellule à partir + de laquelle le fil de fer 1D guidant l'extrusion sera construit : :: + + extMesh = mc.MEDCouplingExtrudedMesh(mesh3D, mesh2D, 0) + + On a alors la garantie que, dans ``extMesh``, les cellules sont ordonnées par niveau Z croissant. + Il suffit de récupérer le 2ème niveau (``MEDCouplingExtrudedMesh.getMesh3DIds()``). :: + + n_cells = mesh2D.getNumberOfCells() + cellIdsSol3 = extMesh.getMesh3DIds()[n_cells:2*n_cells] + +On vérifie alors que les 3 solutions sont les mêmes : :: + + print cellIdsSol1.getValues() + print cellIdsSol2.getValues() + print cellIdsSol3.getValues() + + +Extraire une sous partie d'un maillage 3D +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Utiliser les identifiants de cellules ``cellIdsSol2`` obtenus précédemment pour extraire une sous-partie de ``mesh3D``, +c'est-à-dire un maillage avec un sous-ensemble des cellules de ``mesh3D``. :: + + mesh3DPart = mesh3D[cellIdsSol2] + +.. note:: En C++ la méthode sous-jacente invoquée (et par ailleurs aussi disponible en Python) s'appelle + ``mesh3DPart = mesh3D.buildPartOfMySelf(cellIdsSol2,True)`` + +.. note:: Le type géométrique ne rentre pas du tout en compte ici. L'instruction précédente prend les cellules + dans l'ordre où elles sont disponibles dans le maillage initial. + +L'objet ``mesh3DPart`` contient ``len(cellIdsSol2)`` cellules désormais. La cellule #0 de ``mesh3DPart`` correspond à la cellule avec l'identifiant ``cellIdsSol2[0]`` de ``mesh3D``, et ainsi de suite. Ainsi ``cellIdsSol2`` peut être vu comme un +tableau new-2-old. + +A ce point, ``mesh3DPart`` repose sur une copie du tableau de coordonnées de ``mesh3D``, c'est-à-dire 60 nodes. +Seuls 30 sont effectivement utilisés. +Pour retirer les noeuds orphelins de ``mesh3DPart`` invoquer simplement ``MEDCouplingUMesh.zipCoords()``. :: + + mesh3DPart.zipCoords() + +Maintenant, ``mesh3DPart`` repose sur 30 nodes et possède 6 cellules. Pour être prêt aux I/O MED-fichier, il est +alors important de voir si ``mesh3DPart`` est bien ordonné, c'est-à-dire si ses cellules sont bien rangées par type géométrique. +On commence par inspecter l'état actuel : :: + + print mesh3DPart.advancedRepr() + +La fonction suivante fait le même travail : :: + + print mesh3DPart.checkConsecutiveCellTypesAndOrder([mc.NORM_HEXA8, mc.NORM_POLYHED]) + +Ou bien : :: + + print mesh3DPart.checkConsecutiveCellTypes() + +On voit que ``mesh3DPart`` contient 6 cellules, quatre HEXA8 puis deux POLYHED. Les cellules sont bien +groupées par type géométrique. Si ce n'était pas le cas, on aurait pu invoquer ``MEDCouplingUMesh.sortCellsInMEDFileFrmt()``. + + +Extraire des cellules alignées sur une ligne 3D +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +On souhaite extraire de ``mesh3D`` les 3 cellules dont les barycentres sont le long de la ligne portée par +``v = [0.,0.,1.]`` et passant par ``pt = [250.,150.,0.]``. +Il y a deux solutions. + +* les barycentres de ``mesh3D`` : même principe qu'au-dessus. :: + + baryXY = bary[:,[0,1]] + baryXY -= [250.,150.] + magn = baryXY.magnitude() + cellIds2Sol1 = magn.getIdsInRange(0.,1e-12) + +* utiliser le maillage extrudé ``extMesh`` : partant de l'unique cellule dans ``mesh2D`` dont le centre est + en ``[250.,150.,0.]``, la méthdode ``MEDCouplingExtrudedMesh.getMesh3DIds()`` retourne les identifiants de + cellules rangée par rangée. :: + + bary2 = mesh2D.getBarycenterAndOwner()[:,[0,1]] + bary2 -= [250.,150.] + magn = bary2.magnitude() + ids = magn.getIdsInRange(0.,1e-12) + idStart = int(ids) # ids is assumed to contain only one value, if not an exception is thrown + ze_range = range(idStart,mesh3D.getNumberOfCells(),mesh2D.getNumberOfCells()) + cellIds2Sol2 = extMesh.getMesh3DIds()[ze_range] + +Maintenant on construit cette sous partie de ``mesh3D`` en utilisant ``cellIds2Sol1`` ou ``cellIds2Sol2``: :: + + mesh3DSlice2 = mesh3D[cellIds2Sol1] + mesh3DSlice2.zipCoords() + +Duplication, translation et aggrégation de maillages +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Cette partie de l'exercice est intéressante pour construire des maillages complexes, ou pour aggréger des parties +de maillages venant de différents processeurs. + +On cherche ici à dupliquer ``mesh3DSlice2``, le translater et l'aggréger avec l'original. + +Effectuer une copie complète de ``mesh3DSlice2`` (aussi appelée *deep copy*) sous le nom ``mesh3DSlice2bis``. +Sur cette copie effectuer une translation de ``v=[0.,1000.,0.]``. +Puis aggréger ``mesh3DSlice2`` avec sa copie translatée ``mesh3DSlice2bis``, en utilisant ``MEDCouplingUMesh.MergeUMeshes()``. :: + + mesh3DSlice2bis = mesh3DSlice2.deepCpy() + mesh3DSlice2bis.translate([0.,1000.,0.]) + mesh3DSlice2All = mc.MEDCouplingUMesh.MergeUMeshes([mesh3DSlice2,mesh3DSlice2bis]) + mesh3DSlice2All.writeVTK("mesh3DSlice2All.vtu") + +.. note:: Pour information pour merger deux (ou plus) maillages non structurés, il faut invoquer ``MEDCouplingUMesh.MergeUMeshes()`` + puis ``MEDCouplingUMesh.mergeNodes()`` sur le résultat, et enfin ``MEDCouplingUMesh.zipConnectivity()``. + +Connectivité descendante +~~~~~~~~~~~~~~~~~~~~~~~~ + +Le but ici est de présenter la notion de *connectivité descendante* (*descending connectivity*). + +La connectivité descendante représente les éléments de dimension ``n-1`` +constituant chacune des cellules de dimension ``n`` (avec donc ``n`` la dimension du maillage, *mesh-dim*). Par exemple, pour un +maillage de dimension 3 (les cellules sont des *volumes* 3D), cela donne l'ensemble des faces (des *surfaces* 2D) bordant +ces volumes. + +A titre d'exemple, on se propose dans notre cas de récupérer les faces *internes* du maillage ``mesh3D``. +Pour cela il est nécessaire de construire le maillage +descendant de ``mesh3D`` (stocké dans ``mesh3DSurf``) c'est-à-dire +le maillage de mesh-dimension 2 (soit ``mesh3D.getMeshDimension()-1``) constitué +des *faces* bordant chacune des cellules (ici des *volumes* 3D) de ``mesh3D``. +La méthode ``MEDCoupling.buildDescendingConnectivity()`` calcule ce maillage, et retourne en même temps des tableaux +de correspondance. Ces tableaux font le lien entre les identifiants des cellules de ``mesh3D`` +vers les identifiants de cellules de ``mesh3DSurf``, et vice-et-versa. + +Une face de ``mesh3DSurf`` est dite interne, si et seulement si, elle est partagée par plus d'une cellule 3D de ``mesh3D``. +Les 3ème et 4ème paramètres de sortie de la fonction donnent le lien +entre une face et ses cellules *parentes* (i.e. le ou les volumes qu'elle délimite). +Ce lien est exprimé au format *indirect index* vu dans le premier exercice :ref:`indirect-index-exo`. :: + + mesh3DSurf, desc, descIndx, revDesc, revDescIndx = mesh3D.buildDescendingConnectivity() + numberOf3DCellSharing = revDescIndx.deltaShiftIndex() + cellIds = numberOf3DCellSharing.getIdsNotEqual(1) + mesh3DSurfInside = mesh3DSurf[cellIds] + mesh3DSurfInside.writeVTK("mesh3DSurfInside.vtu") + +Ce genre de manipulation est très utile pour accéder au voisinage d'une ou plusieurs cellules d'un maillage non-structuré. + +.. image:: images/mesh3DSurfInside.jpg + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingumesh1_solution` diff --git a/doc/tutorial/medcouplingcorba_en.rst b/doc/tutorial/medcouplingcorba_en.rst new file mode 100644 index 000000000..35742e5da --- /dev/null +++ b/doc/tutorial/medcouplingcorba_en.rst @@ -0,0 +1,94 @@ + +Visualize a MEDCoupling instance in ParaViS through CORBA +--------------------------------------------------------- + +ParaViS can be used to directly visualize a mesh or a field stored in memory in a Python +process. For information, this technique will become the preferred choice for the MED +Calculator in a future Salome release. +The following use cases can also be mentioned: + +* YACS, to create visualization nodes +* create a Python mock-up script and use the standard Python interpreter whilst benefiting +from the ParaViS graphical interface + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +Import the whole Python module MEDCouplingCorba. :: + + from MEDCouplingCorba import * + + +Create a 2D MEDCouplingUMesh instance +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Create a trivial unstructured mesh "m" which will be sent through CORBA to ParaViS. +:: + + arr=DataArrayDouble(11) + arr.iota(0) + m=MEDCouplingCMesh() + m.setCoords(arr,arr) + m=m.buildUnstructured() + +.. note:: "m" is unstructured but a Cartesian mesh would also work perfectly fine. + +Create a CORBA servant from "m", and turn the Python process into a CORBA server +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Invoke MEDCouplingUMeshServant._this() on "m" to turn it into a CORBA reference ("ref_m"). +:: + + ref_m=MEDCouplingUMeshServant._this(m) + +.. note:: This command doesn't only create a CORBA servant but also makes the current + Python process a full CORBA server. + +Read the identifiers that are passed to ParaViS +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +What follows holds for any omniORBpy code. Display the IOR "ior" of "ref_m". +This character string is given to the ParaViS plugin (ParaMEDCorbaPlugin) to create +a new ParaViS source. +:: + + import CORBA + orb=CORBA.ORB_init() + ior=orb.object_to_string(ref_m) + print ior + +A simple copy/paste in the ParaViS GUI allows to create the source and to have our +mesh rendered on screen. + +Use ParaViS interactively +~~~~~~~~~~~~~~~~~~~~~~~~~ + +This section simply highlights what can be done in principle. It should be regarded +as a starting point towards the creation of more advanced scripts. +With ParaViS still up, retrieve a remote handle on ParaViS: +:: + + import PARAVIS_Gen_idl + import salome + salome.salome_init() + paravis=salome.lcc.FindOrLoadComponent("FactoryServer","PARAVIS") + +Then send a script to ParaViS so that it displays "m": +:: + + script=""" + src1 = ParaMEDCorbaPluginSource() + src1.IORCorba = '%s' + asc=GetAnimationScene() + rw=GetRenderView() + dr=Show()\ndr.Visibility = 1 + Render() + """ + content=script%(ior) + paravis.ExecuteScript(content) + + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingcorba1_solution` diff --git a/doc/tutorial/medcouplingcorba_fr.rst b/doc/tutorial/medcouplingcorba_fr.rst new file mode 100644 index 000000000..394ff44d5 --- /dev/null +++ b/doc/tutorial/medcouplingcorba_fr.rst @@ -0,0 +1,100 @@ + +Visualiser une instance de MEDCoupling dans ParaViS à travers CORBA +------------------------------------------------------------------- + +Il peut être intéressant de visualiser directement un maillage ou un champ en mémoire dans +un process Python avec une session de ParaViS. Cela évite d'avoir à écrire le maillage (ou le champ) sur disque. +Cette technique peut également être utilisée pour : + +* faire des noeuds de visualisation dans le module YACS +* maquetter un script Python, et profiter de l'interpreteur interactif Python tout en + bénéficiant de l'interface graphique de ParaViS. + +Nous allons pour ce faire bénéficier des mécanismes de distribution mis en oeuvre dans SALOME sur +la base du standard `CORBA `_. +SALOME utilise l'implémentation `omniORB `_ et +`omniORBPy `_ du standard. + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer le module ``MEDCoupling`` +et la classe ``MEDCouplingUMeshServant`` du module Python ``MEDCouplingCorba``. :: + + import MEDCoupling as mc + from MEDCouplingCorba import MEDCouplingUMeshServant + +Créer un maillage +~~~~~~~~~~~~~~~~~ + +Le but ici est de créer un maillage ``m`` non structuré trivial qui sera envoyé par CORBA à ParaViS. :: + + arr = mc.DataArrayDouble(11) + arr.iota(0) + m = mc.MEDCouplingCMesh() + m.setCoords(arr,arr) + m = m.buildUnstructured() + +.. note:: Le maillage ``m`` est non struturé, mais s'il est cartésien ça marche aussi ! + +Créer un servant CORBA +~~~~~~~~~~~~~~~~~~~~~~ + +Nous allons maintenant créer un *servant* CORBA à partir de ``m``, et faire du process Python courant +un *serveur* CORBA. L'objet ``m`` devient ainsi disponible sur le bus CORBA et pourra être interrogé pour +la visualisation par un service distant, typiquement dans notre cas, le module ParaVis. + +Invoquer ``MEDCouplingUMeshServant._this()`` sur ``m`` pour en faire une reférence CORBA (``ref_m``).:: + + ref_m = MEDCouplingUMeshServant._this(m) + +.. note:: Cette ligne ne se contente pas de faire un servant CORBA mais fait du processus courant Python un serveur CORBA. + +Récupérer les identifiants pour ParaViS +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Ce qui suit est général à tout code omniORBpy. Afficher l'IOR ``ior`` de ``ref_m`` (c'est à dire l'identifiant +unique de l'objet sur le bus CORBA) pour pouvoir passer cette chaîne de caractères au plugin ParaMEDCorbaPlugin +de ParaViS, et ainsi créer une nouvelle source dans ParaViS. :: + + import CORBA + orb = CORBA.ORB_init() + ior = orb.object_to_string(ref_m) + print ior + +Puis, via un copier/coller dans l'IHM ParaViS (Menu "Source -> Para MED Corba Plugin Source"), passer l'IOR. +On voit s'afficher notre maillage. + +Utiliser ParaViS en interactif +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Le but ici est juste de voir le principe. Il s'agit d'un point d'entrée pour réaliser des scripts ParaViS plus évolués. +*Tout en laissant actif ParaViS*, importer le module ``pvsimple`` qui fournit l'interface haut niveau de visualisation : :: + + import salome + salome.salome_init() + import pvsimple as pvs + +.. note:: Le module ``pvsimple`` est, à peu de choses prêt, identique au module ``paraview.simple``. + Il est juste adapté à une utilisation au sein de SALOME. Voir la formation PARAVIS à ce sujet. + +Une fois cet import réalisé, le script est automatiquement connecté au même serveur de visualisation que +l'interface graphique de SALOME (si le module PARAVIS est bien actif !). Nous pouvons donc envoyer des commandes +au serveur de visualisation pour demander l'affichage de notre objet CORBA. :: + + # We now talk to the PVServer directly + import pvsimple as pvs + pvs.Connect(url) + src1 = pvs.ParaMEDCorbaPluginSource() + src1.IORCorba = ior # This is where we need the CORBA reference of the object created + dr = pvs.Show(src1) + +.. note:: Cela correspond exactement à la manipulation précédente faite via l'interface graphique (ajout d'une nouvelle + source, saisie de l'IOR, etc ...). + +Solution +~~~~~~~~ + +Le script complet doit être exécuté avec le module PARAVIS (ou une fenêtre ParaView) actif dans l'IHM SALOME! + +:ref:`python_testMEDCouplingcorba1_solution` diff --git a/doc/tutorial/medcouplingloaderex1_en.rst b/doc/tutorial/medcouplingloaderex1_en.rst new file mode 100644 index 000000000..23c825193 --- /dev/null +++ b/doc/tutorial/medcouplingloaderex1_en.rst @@ -0,0 +1,162 @@ + + +Full example 1 - Agitator +------------------------- + +The MED file :download:`agitateur.med ` is used and has the following content:ant : + +.. image:: images/agitateur.jpg + +This is the result of a simple 2-phase computation. +The agitator in green (represented by a cell field) turn on itself from one time-step +to the other. +The purpose of the exercise is to compute the torque applied on this piece.agitateur. + +Objective +~~~~~~~~~ + +The aim of this exercise is to give a full example of non-trivial post-treatment +from a MED file. + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +Import the whole Python module MEDLoader (which includes MEDCoupling). +Also import NumPy and acos() from the math module. :: + + from MEDLoader import * + from numpy import * + from math import acos + +Mesh and field extraction using advanced API +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Using the advanced API read the whole file "agitateur.med" and display all time-steps of +the first field. :: + + data=MEDFileData("agitateur.med") + ts=data.getFields()[0].getTimeSteps() + print ts + +Get the agitator's mesh (in green) at the time-step (2,-1) (see ts). +To this end use the cell field "DISTANCE_INTERFACE_ELEM_BODY_ELEM_DOM" and select +only the field part having a value within [0.0, 1.0] (variable "ids"). :: + + fMts=data.getFields()["DISTANCE_INTERFACE_ELEM_BODY_ELEM_DOM"] + f1ts=fMts[(2,-1)] + fMc=f1ts.getFieldAtLevel(ON_CELLS,0) + arr=fMc.getArray() + arr.getMinMaxPerComponent() # just to see the variation range of the field per component + ids=arr.getIdsInRange(0.,1.) + f2Mc=fMc[ids] + +Using the field "PRESSION_ELEM_DOM" find the 3D pression field applied on the agitator. +Store the result in pressOnAgitateur. :: + + pressMts=data.getFields()["PRESSION_ELEM_DOM"] + press1ts=pressMts[(2,-1)] + pressMc=press1ts.getFieldAtLevel(ON_CELLS,0) + pressOnAgitateurMc=pressMc[ids] + +Delete unused nodes in pressOnAgitateurMc.getMesh(). :: + + pressOnAgitateurMc.getMesh().zipCoords() + +Create a 3D surface field from the 3D cell field +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Deduce the 3D field on the skin of the agitator. +To achieve this use the constituting mesh MEDCouplingUMesh.buildDescendingConnectivity(). +::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: + + agitateurMesh3DMc=pressOnAgitateurMc.getMesh() + m3DSurf,desc,descI,revDesc,revDescI=agitateurMesh3DMc.buildDescendingConnectivity() + nbOf3DCellSharing=revDescI.deltaShiftIndex() + ids2=nbOf3DCellSharing.getIdsEqual(1) + agitateurSkinMc=m3DSurf[ids2] + OffsetsOfTupleIdsInField=revDescI[ids2] + tupleIdsInField=revDesc[OffsetsOfTupleIdsInField] + pressOnSkinAgitateurMc=pressOnAgitateurMc[tupleIdsInField] + pressOnSkinAgitateurMc.setMesh(agitateurSkinMc) + +Manipulate fields +~~~~~~~~~~~~~~~~~ + +Compute the force vector field on the agitator's skin by multiplying at each cell +the pressure by the surface, and then the normal vector. +Pression is expressed in bar, convert it first to Pa. :: + + pressSkin=pressOnSkinAgitateurMc.getArray() + pressSkin*=1e5 + areaSkin=agitateurSkinMc.getMeasureField(True).getArray() + forceSkin=pressSkin*areaSkin + normalSkin=agitateurSkinMc.buildOrthogonalField().getArray() + forceVectSkin=forceSkin*normalSkin + +First computation of the torque at the center of mass of the agitator: + +Let's compute first the position of the center of mass. +Compute the polyhedron representing the 3D mesh hull of the agitator "agitateurMesh3DMc" +(use MEDCouplingUMesh.buildSpreadZonesWithPoly()). :: + + singlePolyhedron=agitateurMesh3DMc.buildSpreadZonesWithPoly() + singlePolyhedron.orientCorrectlyPolyhedrons() + centerOfMass=singlePolyhedron.getBarycenterAndOwner() + +.. note:: The call to MEDCouplingUMesh.orientCorrectlyPolyhedrons() is not mandatory + but is recommended: if the polyhedron happens to be mis-oriented, its center of mass will + be incorrect! + +Compute for each skin cell the torque with respect to the center of mass "centerOfMass". +To this end compute "posSkin", a DataArrayDouble giving for each skin cell the vector +centerOfMass -> G, where G represents the center of mass of the current cell. :: + + barySkin=agitateurSkinMc.getBarycenterAndOwner() + posSkin=barySkin-centerOfMass + +Compute the cross product for each cell of "posSkin" using "forceVectSkin" +(method DataArrayDouble.CrossProduct()). :: + + torquePerCellOnSkin=DataArrayDouble.CrossProduct(posSkin,forceVectSkin) + +Sum "torqueOnSkin" using DataArrayDouble.accumulate(). :: + + zeTorque=torquePerCellOnSkin.accumulate() + print "couple = %r N.m"%(zeTorque[2]) + +Check the previously computed torque by dividing the power by the angular speed. +Compute the power per skin cell and sum it. :: + + speedMts=data.getFields()["VITESSE_ELEM_DOM"] + speed1ts=speedMts[(2,-1)] + speedMc=speed1ts.getFieldAtLevel(ON_CELLS,0) + speedOnSkin=speedMc.getArray()[tupleIdsInField] + powerSkin=DataArrayDouble.Dot(forceVectSkin,speedOnSkin) + power=powerSkin.accumulate()[0] + print "power = %r W"%(power) + +Compute the angular speed: compute the sum of x^2, y^2 and xz of "posSkin" and build +with NumPy the 2x2 matrix +inertiaSkin=[[x2,xy], [xy,z2]] +Retrieve the eigen vector associated to the maximal eigen value with linalg.eig(inertiaSkin). :: + + x2=posSkin[:,0]*posSkin[:,0] ; x2=x2.accumulate()[0] + y2=posSkin[:,1]*posSkin[:,1] ; y2=y2.accumulate()[0] + xy=posSkin[:,0]*posSkin[:,1] ; xy=xy.accumulate()[0] + inertiaSkin=matrix([[x2,xy],[xy,y2]]) + inertiaSkinValues,inertiaSkinVects=linalg.eig(inertiaSkin) + pos=max(enumerate(inertiaSkinValues),key=lambda x: x[1])[0] + vect0=inertiaSkinVects[pos].tolist()[0] + print vect0 + +Thanks to the previous computation we can see that the agitator had a rotation of +1.1183827931 radian (see solution). +Compute and compare the torque on the agitator. :: + + omega=1.1183827931/(ts[-1][2]-ts[0][2]) + print "At time-step (%d,%d) at %r s the torque is: %r N.m, power/omega=%r N.m"%(ts[2][0],ts[2][1],ts[2][2],zeTorque[2],power/omega) + +Solution +~~~~~~~~ + +:ref:`python_testmedcouplingloaderex1_solution` diff --git a/doc/tutorial/medcouplingloaderex1_fr.rst b/doc/tutorial/medcouplingloaderex1_fr.rst new file mode 100644 index 000000000..9f13cc24a --- /dev/null +++ b/doc/tutorial/medcouplingloaderex1_fr.rst @@ -0,0 +1,168 @@ + +MEDCoupling / MEDLoader - Exemple complet 1 - Agitateur +------------------------------------------------------- + +Nous partons ici d'un fichier :download:`agitateur.med ` ayant le contenu suivant : + +.. image:: images/agitateur.jpg + +Il s'agit du résultat d'un petit calcul diphasique : l'agitateur magnétique en vert (repéré seulement par un champ +aux cellules, et n'ayant *pas* de maillage propre) tourne d'un pas de temps à l'autre au +sein d'une phase liquide. Deux gouttes de liquide chutent pendant ce temps vers l'interface air/eau (en gris). + +Le but de l'exercice est de calculer le couple appliqué sur cet agitateur, qui est la pièce mécanique entraînant la +partie basse du fluide. + +Objectif +~~~~~~~~ + +L'objectif est de donner un exemple complet de post-traitement non trivial à partir d'un fichier MED. + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer tout le module python ``MEDLoader`` (qui inclut ``MEDCoupling``). +Importer aussi ``numpy``. :: + + import MEDLoader as ml + import numpy as np + +Extraction des maillages et champs avec l'API avancée +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Avec l'API avancée lire tout le fichier "agitateur.med" et afficher tous les pas de temps du 1er champ. :: + + data = ml.MEDFileData("agitateur.med") + ts = data.getFields()[0].getTimeSteps() + print ts + +Récupérer le maillage de l'agitateur (en vert) au pas de temps (2,-1) (cf. ts). +La position de l'agitateur est définie par un champ sur le maillage global du système et n'a pas de maillage propre. +Il faut donc utiliser le champ aux cellules "DISTANCE_INTERFACE_ELEM_BODY_ELEM_DOM" +et ne sélectionner que la partie du champ ayant une valeur entre dans ``[0.,1.]``. Mettre les identifiants +de cellules correspondant dans ``ids`` : :: + + fMts = data.getFields()["DISTANCE_INTERFACE_ELEM_BODY_ELEM_DOM"] + f1ts = fMts[(2,-1)] + fMc = f1ts.getFieldAtLevel(ml.ON_CELLS,0) + arr = fMc.getArray() + arr.getMinMaxPerComponent() # just to see the field variation range per component + ids = arr.getIdsInRange(0.,1.) + f2Mc = fMc[ids] + +A l'aide du champ "PRESSION_ELEM_DOM" trouver le champ de pression 3D qu'applique l'agitateur. Mettre le résultat dans +``pressOnAgitateur``. :: + + pressMts = data.getFields()["PRESSION_ELEM_DOM"] + press1ts = pressMts[(2,-1)] + pressMc = press1ts.getFieldAtLevel(ml.ON_CELLS,0) + pressOnAgitateurMc = pressMc[ids] + +Supprimer les noeuds inutiles de ``pressOnAgitateurMc.getMesh()`` : :: + + pressOnAgitateurMc.getMesh().zipCoords() + +Passer d'un champ aux cellules 3D à un champ surfacique 3D +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Deduire le champ 3D de pression sur la *peau* de l'agitateur. +Pour ce faire passer par le maillage descendant ``MEDCouplingUMesh.buildDescendingConnectivity()``. :: + + agitateurMesh3DMc = pressOnAgitateurMc.getMesh() + m3DSurf,desc,descI,revDesc,revDescI = agitateurMesh3DMc.buildDescendingConnectivity() + nbOf3DCellSharing = revDescI.deltaShiftIndex() + ids2 = nbOf3DCellSharing.getIdsEqual(1) # Cells with only one neighbor are on the boundary, i.e. on the skin + agitateurSkinMc = m3DSurf[ids2] + offsetsOfTupleIdsInField = revDescI[ids2] + tupleIdsInField = revDesc[offsetsOfTupleIdsInField] + pressOnSkinAgitateurMc = pressOnAgitateurMc[tupleIdsInField] + pressOnSkinAgitateurMc.setMesh(agitateurSkinMc) + +Manipuler les champs +~~~~~~~~~~~~~~~~~~~~ + +Calculer le champ vectoriel de force sur la peau de l'agitateur en multipliant pour chaque cellule +la pression par la surface et ensuite par le vecteur normal. +La pression est en bar, la convertir au préalable en pascal (Pa). :: + + pressSkin = pressOnSkinAgitateurMc.getArray() + pressSkin *= 1e5 # conversion from bar to Pa + areaSkin = agitateurSkinMc.getMeasureField(True).getArray() + forceSkin = pressSkin*areaSkin + normalSkin = agitateurSkinMc.buildOrthogonalField().getArray() + forceVectSkin = forceSkin*normalSkin + +Voici maintenant le premier calcul du moment au centre de masse de l'agitateur : + +Pour faire ce 1er calcul de couple exercé sur l'agitateur, calculons la position du centre de masse de l'agitateur. +Calculer le polyèdre représentant l'enveloppe du maillage 3D de l'agitateur ``agitateurMesh3DMc`` +(utiliser ``MEDCouplingUMesh.buildSpreadZonesWithPoly()``). :: + + singlePolyhedron = agitateurMesh3DMc.buildSpreadZonesWithPoly() + singlePolyhedron.orientCorrectlyPolyhedrons() + centerOfMass = singlePolyhedron.getBarycenterAndOwner() + +.. note:: L'appel à ``MEDCouplingUMesh.orientCorrectlyPolyhedrons()`` n'est pas obligatoire mais conseillé car + si par malheur le polyhèdre est mal orienté, son barycentre sera incorrect ! + +Calculer pour chaque cellule de la peau de l'agitateur le moment par rapport au centre de masse ``centerOfMass`` +de l'agitateur. +Pour ce faire calculer ``posSkin`` le ``DataArrayDouble`` donnant pour chaque cellule de la peau de l'agitateur +le vecteur ``centerOfMass`` -> ``G``, avec ``G`` le barycentre de la cellule courante. :: + + barySkin=agitateurSkinMc.getBarycenterAndOwner() + posSkin = barySkin-centerOfMass + +Appliquer maintenant la formule classique de calcul du moment : calculer le produit +vectoriel par cellule de ``posSkin`` avec ``forceVectSkin`` (méthode ``DataArrayDouble.CrossProduct()``). :: + + torquePerCellOnSkin = ml.DataArrayDouble.CrossProduct(posSkin,forceVectSkin) + +Sommer ``torqueOnSkin`` en utilisant la méthode ``DataArrayDouble.accumulate()``. :: + + zeTorque = torquePerCellOnSkin.accumulate() + print "couple = %r N.m" % zeTorque[2] + +Vérifions le couple calculé précédemment en divisant la puissance par la vitesse *angulaire*. +La vitesse *linéaire* est stockée dans le champ "VITESSE_ELEM_DOM". + +Calculer la puissance par cellule de la peau de l'agitateur et la sommer. :: + + speedMts = data.getFields()["VITESSE_ELEM_DOM"] + speed1ts = speedMts[(2,-1)] + speedMc = speed1ts.getFieldAtLevel(ml.ON_CELLS,0) + speedOnSkin = speedMc.getArray()[tupleIdsInField] + powerSkin = ml.DataArrayDouble.Dot(forceVectSkin,speedOnSkin) + power = powerSkin.accumulate()[0] + print "power = %r W"%(power) + +Calculer la vitesse *angulaire*. Pour ce faire, calculer la somme de ``x^2``, ``y^2`` et ``xz`` de ``posSkin`` et +construire (avec NumPy) la matrice 2x2 d'inertie ``inertiaSkin=[[x2,xy], [xy,z2]]``. + +Récupérer le vecteur propre associé à la valeur propre maximale +avec ``linalg.eig(inertiaSkin)``. :: + + x2 = posSkin[:,0]*posSkin[:,0] + x2 = x2.accumulate()[0] + y2 = posSkin[:,1]*posSkin[:,1] + y2 = y2.accumulate()[0] + xy = posSkin[:,0]*posSkin[:,1] + xy = xy.accumulate()[0] + inertiaSkin = np.matrix([[x2,xy],[xy,y2]]) + inertiaSkinValues, inertiaSkinVects = np.linalg.eig(inertiaSkin) + pos = max(enumerate(inertiaSkinValues), key=lambda x: x[1])[0] + vect0 = inertiaSkinVects[pos].tolist()[0] + print vect0 + +Grâce au calcul précédent on peut déduire que l'agitateur a tourné de 1.1183827931 radian (cf. solution complète pour le +détail - on remet les étapes précédentes dans une fonction que l'on applique sur plusieurs pas de temps). + +Calculer et comparer le couple sur l'agitateur. :: + + omega = 1.1183827931 / (ts[-1][2]-ts[0][2]) + print "At timestep (%d,%d) (physical time=%r s) the torque is: %r N.m, power/omega=%r N.m " % (ts[2][0],ts[2][1],ts[2][2],zeTorque[2],power/omega) + +Solution +~~~~~~~~ + +:ref:`python_testmedcouplingloaderex1_solution` diff --git a/doc/tutorial/medcouplingloaderex2_en.rst b/doc/tutorial/medcouplingloaderex2_en.rst new file mode 100644 index 000000000..cfb29bf12 --- /dev/null +++ b/doc/tutorial/medcouplingloaderex2_en.rst @@ -0,0 +1,240 @@ + +Full example 2 - RJH +-------------------- + +Two MED files are used in this case, which are (very freely) inspired by the RJH experimental reactor. + +The first file "Fixe.med" represents the 2D geometry of the static RJH without the installations. + +.. image:: images/fixm.jpg + +The 2nd file "Mobile.med" represent the mobile part. + +.. image:: images/mobm.jpg + + +Objective +~~~~~~~~~ + +The aim of this exercise is to use MEDCoupling to intersect those two meshes, assign a field to it and thus localize the zones. + + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +Import the whole Python module MEDLoader (which includes MEDCoupling). :: + + from MEDLoader import * + +Read and repare the static mesh "Fixe.med" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +With the advanced API read the whole file "Fixe.med" and call "fixm" the MEDCouplingUMEsh instance +representing the static mesh. :: + + fixe=MEDFileMesh.New("Fixe.med") + fixm=fixe.getMeshAtLevel(0) + +In what follows, it is required that any two cells touching each other share the same edges. +As we are in nodal connectivity mode it means that common nodes have to merged. This is not the case here. +Merge the nodes closer than 1e-10 and assess the impact on the node count of "fixm". :: + + print "nb of nodes in file : %i"%(fixm.getNumberOfNodes()) + fixm.mergeNodes(1e-10) + print "nb of non duplicated nodes : %i"%(fixm.getNumberOfNodes()) + +Same thing for "Mobile.med" (called "mobm"). Repair it by deleting duplicated nodes. :: + + mobile=MEDFileMesh.New("Mobile.med") + mobm=mobile.getMeshAtLevel(0) + mobm.mergeNodes(1e-10) + + +Repair the "mobm" mesh converting from POLYGON to QPOLYG (temporary solution) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +This section will disappear in the future. +The RJH mesh being more generic than TRI6 and QUAD8 we need to store cells with an intermediate type QPOLYG +(Quadratic Polygon) which is the polygonal extension to the 2D cells with a dynamic edge count. +For now this geometrical type QPOLYG is in MEDCoupling but there is no equivalent yet in MED file (work in progress +at EDF). +The trick for now is to store QPOLYG in standard linear polygons and to convert them after reading. +Only "mobm" is concerned. Convert all polygonal cells in "mobm" into QPOLYG. :: + + ids=mobm.giveCellsWithType(NORM_POLYGON) + mobm.getNodalConnectivity()[mobm.getNodalConnectivityIndex()[ids]]=NORM_QPOLYG + mobm.computeTypes() + +Visualize "fixm" and "mobm" using ParaView. Tesselation is needed: OpenGL doesn't handle properly circle arcs +and those have to be split into smaller linear segments to be able to represent them. The method MEDCouplingUMesh.tessellate2D() achieves this but modifies the mesh (non const method in C++). +It only take a cut fineness parameter (0.1 will suffice (angle expressed in rd)). Remember not to modify +neither "fixm" nor "mobm"! :: + + fixm2=fixm.deepCpy() # tessellate2D is non const - a mesh copy is required + fixm2.tessellate2D(0.1) + fixm2.writeVTK("fixm2.vtu") + mobm2=mobm.deepCpy() + mobm2.tessellate2D(0.1) + mobm2.writeVTK("mobm2.vtu") + +Define a small method displayVTK() which we will use later on. :: + + def displayVTK(m,fname): + tmp=m.deepCpy() + tmp.tessellate2D(0.1) + tmp.writeVTK(fname) + return + +Perform reductions and identifying zones +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +"mobm" is made of 6 distinct parts (see image above). We only want the first part. +Use MEDCouplingUMesh.partitionBySpreadZone() to partition "mobm" in zones and only +extract the first zone. +Name this new instance "zone1Mobm", remove all orphan nodes and display. :: + + zonesInMobm=mobm.partitionBySpreadZone() + print "number of zones in mobm : %i"%(len(zonesInMobm)) + zone1Mobm=mobm[zonesInMobm[0]] + zone1Mobm.zipCoords() + displayVTK(zone1Mobm,"zone1Mobm.vtu") + +.. image:: images/zone1Mobm.jpg + +From now on we work on "zone1Mobm". We will reduce the working area of "fixm" around "zone1Mobm". +To achive this: reduce "fixm" taking only "fixm" cells located in the bounding box of "zone1Mobm" (MEDCouplingUMesh.getBoundingBox() and MEDCouplingUMesh.getCellsInBoundingBox()). +Name this object "partFixm", remove its orphan nodes and display it. :: + + ids2=fixm.getCellsInBoundingBox(zone1Mobm.getBoundingBox(),1e-10) + partFixm=fixm[ids2] + partFixm.zipCoords() + displayVTK(partFixm,"partFixm.vtu") + +.. image:: images/partFixmAndzone1Mobm.jpg + +Geometrical intersection of the two meshes +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +This is the core of the exercise. + +We intersect geometrically "partFixm" and "zone1Mobm". +This boils down to partition in a minimal fashion "partFixm" into cells belonging either fully to +"partFixm", or to "partFixm" and "zone1Mobm". Invoke the static method +MEDCouplingUMesh.Intersect2DMeshes(), with "partFixm" and "zone1Mobm", and use a precision +of 1e-10 (merge detection threshold). +This method returns 3 parameters (see API documentation) which will be called partFixMob, iPart and iMob. + +In partFixMob merge common nodes with a threshold of 1e-10. :: + + partFixMob,iPart,iMob=MEDCouplingUMesh.Intersect2DMeshes(partFixm,zone1Mobm,1e-10) + partFixMob.mergeNodes(1e-10) + +Get and display partFixm part which is not in zone1Mobm. Call this mesh partFixmWithoutZone1Mobm. :: + + ids3=iMob.getIdsEqual(-1) + partFixmWithoutZone1Mobm=partFixMob[ids3] + displayVTK(partFixmWithoutZone1Mobm,"partFixmWithoutZone1Mobm.vtu") + +.. image:: images/partFixmWithoutZone1Mobm.jpg + + +Let's now check the result quality given by MEDCouplingUMesh.Intersect2DMeshes. +Three tests will be passed: + + * (check#0) the cell area sum in partFixm equals the one in partFixMob + * (check#1) the cell area sum in zone1Mobm equals the same sum on the cells in partFixMob whose cell ID different of -1 + * (check#2) for each cell in partFixm, its area equals the cell area sum in partFixMob + +Area is a algebraic value. The check can be performed only if all cells are correctly oriented or at least +all oriented consistently. +To check this let's inspect the areas of the 38 cells of partFixm (variable name "areaPartFixm"). :: + + areaPartFixm=partFixm.getMeasureField(ON_CELLS).getArray() + print areaPartFixm.getValues() + +All values are negative: this MED file doesn't respect the MED file convention. +"partFixm" being mis-oriented and the method MEDCouplingUMesh.Intersect2DMeshes() conserving the orientation, "partFixMob" is also mis-oriented. +To cut long story short, we perform comparison on absolute arrays. +Check then that the first test check#0 is successful + + areaPartFixm=partFixm.getMeasureField(ON_CELLS).getArray() + areaPartFixm.abs() + areaPartFixMob=partFixMob.getMeasureField(ON_CELLS).getArray() + areaPartFixMob.abs() + val1=areaPartFixm.accumulate()[0] + val2=areaPartFixMob.accumulate()[0] + print "Check #0 %lf == %lf a 1e-8 ? %s"%(val1,val2,str(abs(val1-val2)<1e-8)) + +Now check#1. Same spirit as in check#0. :: + + areaZone1Mobm=zone1Mobm.getMeasureField(ON_CELLS).getArray() + areaZone1Mobm.abs() + val3=areaZone1Mobm.accumulate()[0] + ids4=iMob.getIdsNotEqual(-1) + areaPartFixMob2=areaPartFixMob[ids4] + val4=areaPartFixMob2.accumulate()[0] + print "Check #1 %lf == %lf a 1e-8 ? %s"%(val3,val4,str(abs(val3-val4)<1e-8)) + +Finally check#2. :: + + isCheck2OK=True + for icell in xrange(partFixm.getNumberOfCells()): + ids5=iPart.getIdsEqual(icell) + areaOfCells=areaPartFixMob[ids5] + areaOfCells.abs() + if abs(areaOfCells.accumulate()[0]-areaPartFixm[icell])>1e-9: + isCheck2OK=False + pass + pass + print "Check #2? %s"%(str(isCheck2OK)) + +Use intersection information to create fields +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +We are done with partFixMob. +Now create a cell field on partFixMob by setting it to 0 on the part covering only partFixm and 1 on the overlapped +part. Visualize it in a VTK file. :: + + f=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) + m=partFixMob.deepCpy() ; m.tessellate2D(0.1) + f.setMesh(m) + arr=DataArrayDouble(partFixMob.getNumberOfCells(),1) + arr[iMob.getIdsEqual(-1)]=0. + arr[iMob.getIdsNotEqual(-1)]=1. + f.setArray(arr) + f.checkCoherency() + f.setName("Zone") + MEDCouplingFieldDouble.WriteVTK("Zone.vtu",[f]) + +.. image:: images/LocationEx2.jpg + +More generally take zones 0, 1 and 5. +Create a cell field whose value is 0 in the zone being exclusively part of fixm, +1 in the zone #0, 2 in the zone #1 and 3 in the zone #5. :: + + zonesMobm=MEDCouplingUMesh.MergeUMeshesOnSameCoords([mobm[zonesInMobm[0]], mobm[zonesInMobm[1]], mobm[zonesInMobm[5]]]) + zonesMobm.zipCoords() + partFixMob2,iPart2,iMob2=MEDCouplingUMesh.Intersect2DMeshes(partFixm,zonesMobm,1e-10) + partFixMob2.mergeNodes(1e-10) + f2=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) + m2=partFixMob2.deepCpy() ; m2.tessellate2D(0.1) + f2.setMesh(m2) + arr=DataArrayDouble(partFixMob2.getNumberOfCells(),1) + arr[iMob2.getIdsEqual(-1)]=0. + st=0 ; end=st+len(zonesInMobm[0]) + arr[iMob2.getIdsInRange(st,end)]=1. + st+=len(zonesInMobm[0]) ; end=st+len(zonesInMobm[1]) + arr[iMob2.getIdsInRange(st,end)]=2. + st+=len(zonesInMobm[1]) ; end=st+len(zonesInMobm[2]) + arr[iMob2.getIdsInRange(st,end)]=3. + f2.setArray(arr) + f2.checkCoherency() + f2.setName("Zone2") + MEDCouplingFieldDouble.WriteVTK("Zone2.vtu",[f2]) + +.. image:: images/zonesMobm.jpg + +Solution +~~~~~~~~ + +:ref:`python_testmedcouplingloaderex2_solution` diff --git a/doc/tutorial/medcouplingloaderex2_fr.rst b/doc/tutorial/medcouplingloaderex2_fr.rst new file mode 100644 index 000000000..9c24d45ed --- /dev/null +++ b/doc/tutorial/medcouplingloaderex2_fr.rst @@ -0,0 +1,253 @@ + +MEDCoupling / MEDLoader - Exemple complet 2 - RJH +------------------------------------------------- + +Ici nous partons de deux fichiers MED très librement inspirés du réacteur expérimental +RJH (Réacteur Jules Horowitz). + +Le premier, :download:`Fixe.med `, représente la partie statique du réacteur +sans dispositif expérimental. + +.. image:: images/fixm.jpg + :scale: 70 + +Le deuxième, :download:`Mobile.med `, représente la partie mobile. + +.. image:: images/mobm.jpg + :scale: 70 + + +Objectif +~~~~~~~~ + +Le but ici est d'utiliser MEDCoupling pour: + +* intersecter ces deux maillages, +* y mettre un champ, +* et ainsi localiser les zones de recouvrement + + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer tout le module python MEDLoader (qui inclus MEDCoupling). :: + + import MEDLoader as ml + +Lire et réparer le maillage statique "Fixe.med" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Avec l'API avancée lire tout le fichier "Fixe.med" et appeler ``fixm`` +l'objet de type ``MEDCouplingUMesh`` représentant le maillage statique. :: + + fixe = ml.MEDFileMesh.New("Fixe.med") + fixm = fixe.getMeshAtLevel(0) + +Pour ce qui suit il faut absolument que deux cellules se touchant partagent les mêmes edges. Pour ce faire, comme on est +en connectivité nodale, il faut absolument que les noeuds soient les mêmes. Il s'avère que cela n'est pas le cas ici. +Fusionner le noeuds distants de moins de 1e-10 et regarder l'impact sur le nombre de noeuds de ``fixm``. :: + + print "Nb of nodes in the file : %i " % (fixm.getNumberOfNodes()) + fixm.mergeNodes(1e-10) + print "Nb of non duplicated nodes : %i" % (fixm.getNumberOfNodes()) + +Même traitement pour ``Mobile.med``, le lire avec l'API avancée de MEDLoader (appeler ``mobm`` l'instance du maillage) +et le réparer en supprimant les noeuds dupliqués. :: + + mobile = ml.MEDFileMesh.New("Mobile.med") + mobm = mobile.getMeshAtLevel(0) + mobm.mergeNodes(1e-10) + +Le maillage du RJH étant plus général que des ``TRI6`` et des ``QUAD8``, on a besoin +de stocker ces cellules avec un type géométrique à ``QPOLYG`` (Quadratic Polygon) qui représente un polygone *quadratique* +(le terme n'est pas très heureux, encore des raisons historiques, ...), c'est-à-dire un polygone avec un nombre arbitraire +de côtés, et potentiellement des côtés en forme d'arcs de cercles plutôt que de segments de droites. +Ce type géométrique ``NORM_QPOLYG`` est dans MEDCoupling/MEDLoader et aussi dans MED fichier. + +Nous voudrions visualiser ces deux maillages dans PARAVIS/ParaView, mais nous rencontrons ici deux soucis: + +* les polygones non-convexes sont, par défaut, mal représentés par VTK en mode *Surface*. + Il faut sélectionner l'option avancée "Triangulate" dans le panneau Display de PARAVIS/ParaView pour avoir un rendu correct. +* les arcs de cercles ne sont pas correctement supportés par ParaView. Il faut les *tesséliser*, c'est-à-dire les transformer + en plusieurs petits segments de droite. La méthode ``MEDCouplingUMesh.tessellate2D()`` fait ce travail, mais modifie + le maillage. Nous faisons donc une copie préalable. Nous passons en paramètre la finesse de découpage (0.1 est suffisant + -- angle en radian). Attention donc à ne pas modifer ni ``fixm`` ni ``mobm`` ! :: + + fixm2 = fixm.deepCpy() # tessellate2D() modifies the current mesh + fixm2.tessellate2D(0.1) + fixm2.writeVTK("fixm2.vtu") + mobm2 = mobm.deepCpy() + mobm2.tessellate2D(0.1) + mobm2.writeVTK("mobm2.vtu") + +Faire une petite méthode ``displayVTK()``, faisant le travail qui nous servira souvent après. :: + + def displayVTK(m,fname): + tmp = m.deepCpy() + tmp.tessellate2D(0.1) + tmp.writeVTK(fname) + return + +Faire des réductions et des repérages de zones +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Le maillage ``mobm`` est en 6 parties distinctes (voir l'image au dessus). On ne veut récupérer que la première partie. +Utiliser ``MEDCouplingUMesh.partitionBySpreadZone()`` pour partitionner en zones ``mobm`` et ne prendre que la première zone. +Appeler cette nouvelle instance ``zone1Mobm`` et lui retirer tous les noeuds orphelins (``MEDCouplingUMesh.zipCoords()``) +Enfin l'afficher : :: + + zonesInMobm = mobm.partitionBySpreadZone() + print "Nb of zones in mobm : %i" % (len(zonesInMobm)) + zone1Mobm = mobm[zonesInMobm[0]] + zone1Mobm.zipCoords() + displayVTK(zone1Mobm, "zone1Mobm.vtu") + +.. image:: images/zone1Mobm.jpg + :scale: 70 + +Nous allons désormais travailler autour de ``zone1Mobm``. Nous allons réduire la zone de travail de ``fixm`` autour de ``zone1Mobm``. +Pour ce faire, réduire ``fixm`` en ne prenant que les cellules dans la boîte englobante +de ``zone1Mobm`` (``MEDCouplingUMesh.getBoundingBox()`` et ``MEDCouplingUMesh.getCellsInBoundingBox()``). +Appeler ce nouvel objet ``partFixm``, lui retirer ses noeuds orphelins et l'afficher. :: + + ids2 = fixm.getCellsInBoundingBox(zone1Mobm.getBoundingBox(),1e-10) + partFixm = fixm[ids2] + partFixm.zipCoords() + displayVTK(partFixm,"partFixm.vtu") + +.. image:: images/partFixmAndzone1Mobm.jpg + +Intersecter géométriquement deux maillages +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +C'est le coeur de l'exercice. Nous allons intersecter géométriquement ``partFixm`` et ``zone1Mobm``. Cela revient à +partitionner à minima ``partFixm`` en cellules appartenant +soit complètement à ``partFixm`` soit à ``partFixm`` et ``zone1Mobm``. Invoquer la méthode statique +``MEDCouplingUMesh.Intersect2DMeshes()``, avec ``partFixm`` et ``zone1Mobm`` et mettre une précision +de 1e-10 (seuil de détection de fusion). Cette méthode retourne 3 paramètres (voir API dans la doc) que l'on appellera +ici ``partFixMob``, ``iPart`` et ``iMob`` dans cet ordre. + +Sur ``partFixMob`` merger les noeuds à 1e-10 près. :: + + partFixMob, iPart, iMob = ml.MEDCouplingUMesh.Intersect2DMeshes(partFixm,zone1Mobm,1e-10) + partFixMob.mergeNodes(1e-10) + +Récupérer et afficher la partie de ``partFixm`` qui n'est pas dans ``zone1Mobm``. Appeler ce maillage ``partFixmWithoutZone1Mobm``. :: + + ids3 = iMob.getIdsEqual(-1) + partFixmWithoutZone1Mobm = partFixMob[ids3] + displayVTK(partFixmWithoutZone1Mobm,"partFixmWithoutZone1Mobm.vtu") + +.. image:: images/partFixmWithoutZone1Mobm.jpg + :scale: 70 + +Maintenant, on va vérifier la qualité du résultat retourné par ``MEDCouplingUMesh.Intersect2DMeshes()``. +Pour ce faire on va passer 3 tests: + + * **Check #0** la somme des aires des cellules de ``partFixm`` et égale à celle de ``partFixMob`` + * **Check #1** la somme des aires des cellules de ``zone1Mobm`` et égale à la somme des cells de ``partFixMob`` + dont l'id dans ``iMob`` est different de -1 + * **Check #2** pour chaque cellule de ``partFixm``, son aire est égale à la somme des aires des cellules de ``partFixMob`` + +L'aire est une valeur algébrique. Donc attention cette verification ne peut se faire que si les cellules +sont toutes bien orientées ou à minima toutes orientées de la même manière. +Pour ce faire, regardons les aires des 38 cellules de ``partFixm`` (nom de variable : ``areaPartFixm``). :: + + areaPartFixm = partFixm.getMeasureField(ml.ON_CELLS).getArray() + print areaPartFixm.getValues() + +On voit que toutes les valeurs sont négatives. *Bilan*: ce fichier MED ne respecte pas la convention MED fichier ! +``partFixm`` étant mal orienté, et ``MEDCouplingUMesh.Intersect2DMeshes()`` conservant l'orientation, +``partFixMob`` est lui aussi mal orienté. +Bref, on va faire les comparaisons sur des tableaux de valeurs absolues. Vérifier alors **Check #0**. :: + + areaPartFixm = partFixm.getMeasureField(ml.ON_CELLS).getArray() + areaPartFixm.abs() + areaPartFixMob = partFixMob.getMeasureField(ml.ON_CELLS).getArray() + areaPartFixMob.abs() + val1=areaPartFixm.accumulate()[0] + val2=areaPartFixMob.accumulate()[0] + print "Check #0 %lf == %lf with precision 1e-8? %s" % (val1,val2,str(abs(val1-val2)<1e-8)) + +On peut passer au **Check #1**. L'esprit est le même que le **Check #0**. :: + + areaZone1Mobm = zone1Mobm.getMeasureField(ml.ON_CELLS).getArray() + areaZone1Mobm.abs() + val3 = areaZone1Mobm.accumulate()[0] + ids4 = iMob.getIdsNotEqual(-1) + areaPartFixMob2 = areaPartFixMob[ids4] + val4 = areaPartFixMob2.accumulate()[0] + print "Check #1 %lf == %lf with precision 1e-8 ? %s" % (val3,val4,str(abs(val3-val4)<1e-8)) + +Puis le **Check #2**. :: + + isCheck2OK = True + for icell in xrange(partFixm.getNumberOfCells()): + ids5 = iPart.getIdsEqual(icell) + areaOfCells = areaPartFixMob[ids5] + areaOfCells.abs() + if abs(areaOfCells.accumulate()[0] - areaPartFixm[icell]) > 1e-9: + isCheck2OK = False + pass + pass + print "Check #2? %s" % (str(isCheck2OK)) + +Utiliser les informations de l'intersection pour en faire des champs +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +OK pour ``partFixMob``. Nous souhaitons maintenant créer un champ représentant une fonction indicatrice de la zone + +Maintenant créer un champ aux cellules sur ``partFixMob`` en mettant 0 sur la partie +exclusive ``partFixm`` et 1 sur la partie couverte. Nous créons donc un champ représentant une fonction indicatrice. +Le visualiser en utilisant un fichier VTK (ne pas oublier l'option *Triangulate* de ParaView). :: + + f = ml.MEDCouplingFieldDouble(ml.ON_CELLS,ml.ONE_TIME) + m = partFixMob.deepCpy() + m.tessellate2D(0.1) + f.setMesh(m) + arr = ml.DataArrayDouble(partFixMob.getNumberOfCells(),1) + arr[iMob.getIdsEqual(-1)] = 0. + arr[iMob.getIdsNotEqual(-1)] = 1. + f.setArray(arr) + f.checkCoherency() + f.setName("Zone") + ml.MEDCouplingFieldDouble.WriteVTK("Zone.vtu",[f]) + +.. image:: images/LocationEx2.jpg + :scale: 100 + +Plus généralement prendre les zones 0, 1 et 5. Faire un champ aux cellules qui vaut 0 dans la zone exclusivement de ``fixm``, +1 dans zone #0, 2 dans la zone #1 et finalement 3 dans la zone #5. :: + + zonesMobm = ml.MEDCouplingUMesh.MergeUMeshesOnSameCoords([mobm[zonesInMobm[0]], mobm[zonesInMobm[1]], mobm[zonesInMobm[5]]]) + zonesMobm.zipCoords() + partFixMob2,iPart2,iMob2 = ml.MEDCouplingUMesh.Intersect2DMeshes(partFixm,zonesMobm,1e-10) + partFixMob2.mergeNodes(1e-10) + f2 = ml.MEDCouplingFieldDouble(ml.ON_CELLS, ml.ONE_TIME) + m2 = partFixMob2.deepCpy() + m2.tessellate2D(0.1) + f2.setMesh(m2) + arr = ml.DataArrayDouble(partFixMob2.getNumberOfCells(),1) + arr[iMob2.getIdsEqual(-1)]=0. + st = 0 + end = st + len(zonesInMobm[0]) + arr[iMob2.getIdsInRange(st,end)] = 1. + st += len(zonesInMobm[0]) ; + end = st + len(zonesInMobm[1]) + arr[iMob2.getIdsInRange(st,end)] = 2. + st += len(zonesInMobm[1]) + end = st + len(zonesInMobm[2]) + arr[iMob2.getIdsInRange(st,end)] = 3. + f2.setArray(arr) + f2.checkCoherency() + f2.setName("Zone2") + ml.MEDCouplingFieldDouble.WriteVTK("Zone2.vtu",[f2]) + +Ne pas oublier l'option *Triangulate* de ParaView dans le panneau Display pour bien voir les champs: + +.. image:: images/zonesMobm.jpg + +Solution +~~~~~~~~ + +:ref:`python_testmedcouplingloaderex2_solution` diff --git a/doc/tutorial/medcouplingnumpy_en.rst b/doc/tutorial/medcouplingnumpy_en.rst new file mode 100644 index 000000000..a6dc90e50 --- /dev/null +++ b/doc/tutorial/medcouplingnumpy_en.rst @@ -0,0 +1,190 @@ + +MEDCoupling, NumPy et SciPy +---------------------------- + +NumPy est un package additionnel de python qui permet de manipuler des tableaux de manière optimisée. +Il s'agit d'un prérequis optionnel de MEDCoupling. + +NumPy est une passerelle vers le HPC Python (multiprocessing, pyCUDA, SciPy...) et offre de puissantes +fonctions de calcul vectoriel. C'est pourquoi MEDCoupling offre des liens avec NumPy. +Un bon point de départ pour la découverte de NumPy est le `Tutorial NumPy `_ + +SciPy est aussi un package de python nécessitant NumPy. Il s'agit également d'un prérequis optionnel de MEDCoupling. +SciPy offre des services d'algèbre linéaire, Fast Fourrier Transform, etc ... + +Nous allons ici faire quelques petites manipulations pour voir ce lien entre MEDCoupling et NumPy / SciPy. + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer le module Python ``MEDCoupling``: :: + + import MEDCoupling as mc + +NumPy est un prérequis optionnel, vérifions que nous en bénéficions bien : :: + + assert(mc.MEDCouplingHasNumPyBindings()) + +Nous pouvons alors importer NumPy sans problème: :: + + import numpy as np + +Convertir un DataArray en tableau NumPy et vice versa +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Créer une instance de ``DataArrayDouble`` ayant une composante et 12 tuples. +Et assigner 4. à tous les tuples. :: + + arr = mc.DataArrayDouble(12) + arr[:] = 4. + +Créons maintenant un tableau NumPy reposant sur les mêmes données que ``arr``. :: + + nparr = arr.toNumPyArray() + +Et afficher ``nparr``. :: + + print nparr.__repr__() + print nparr.tolist() + +Mais est ce qu'on ne nous a pas mystifié ? ``arr`` et ``nparr`` partagent-ils le même bloc mémoire ? +Pour le vérifier assignons 7.0 un tuple sur 2 avec ``nparr`` et vérifions que ``arr`` et ``nparr`` sont simultanément modifiés. :: + + nparr[::2] = 7. + print nparr.__repr__() + print arr.__repr__() + +C'est rigolo ! Mais si je détruis ``arr`` (le premier à avoir alloué la mémoire) est-ce que ``nparr`` est tué aussi ? +Ne risque-t-on pas le SIGSEGV ? +Testons : :: + + del arr + import gc; gc.collect() # Make sure the object has been deleted + print nparr.__repr__() + +OK super. Mais inversement puis je faire une instance de ``DataArrayDouble`` avec ``nparr`` ? Oui, en utilisant le constructeur +qui prend un ``nparray`` en entrée. +Et afficher le contenu.:: + + arr2 = mc.DataArrayDouble(nparr) + print arr2.__repr__() + +Modifions ``nparr`` en assignant 5.0 pour tous les tuples et vérifier que les 2 représentations ont bien été modifiées simultanément.:: + + nparr[:] = 5. + print nparr.__repr__() + print arr2.__repr__() + +Nous en profitons pour montrer un petit service pratique avec NumPy, à savoir, l'écriture optimisée. +Ecrivons le contenu binaire de ``nparr`` dans un fichier. :: + + f = open("toto.data","w+b") + a = np.memmap(f, dtype='float64', mode='w+', offset=0, shape=nparr.shape) + a[:] = nparr[:] + f.flush() + +Relisons "toto.data". :: + + f2 = open("toto.data","r+b") + b = np.memmap(f2,dtype='float64',mode='r',offset=0,shape=(12,)) + +Pour rigoler, assignons 3.14 à ``a``, flushons et relisons. :: + + a[:] = 3.14 + f.flush() + b = np.memmap(f2,dtype='float64',mode='r',offset=0,shape=(12,)) + print b.__repr__() + +On voit donc que le passage de MEDCoupling à NumPy se fait directement et de manière optimisée. Donc ca peut valoir le coup ! +Tout ce qui vient d'être montré marche aussi avec des ``DataArrayInt``. +Regardons la suite. + +Jouons avec SciPy +~~~~~~~~~~~~~~~~~ + +Nous allons créer un maillage non conforme. Le but sera de trouver la peau de ce maillage *sans* les surfaces non conformes. + +Nous allons faire cela en jouant avec les matrices creuses de SciPy (*sparse matrix*). Nous interpolons ce maillage non conforme +sur lui même, ce qui devrait donner une matrice diagonale si le maillage était conforme. + +Avant nous vérifions que l'on peut jouer avec SciPy ! :: + + assert(mc.MEDCouplingHasSciPyBindings()) + +Pour le moment créons un maillage non conforme. Nous collons simplement deux maillages structurés avec des +discrétisations spatiales différentes.:: + + c1 = mc.MEDCouplingCMesh() + arr1 = mc.DataArrayDouble(7) + arr1.iota() + c1.setCoords(arr1,arr1,arr1) + c2 = mc.MEDCouplingCMesh() + arr2 = mc.DataArrayDouble(9) + arr2.iota() + arr2 *= 6./8. + c2.setCoords(arr2,arr2,arr2) + +Dégénérons ``c1`` et ``c2`` en non-structuré, une translation de ``[6.,0.,0.]`` de ``c2``, et en faisant +l'agrégation des deux, c'est dans la poche. :: + + c1 = c1.buildUnstructured() + c2 = c2.buildUnstructured() + c2.translate([6.,0.,0.]) + c = mc.MEDCouplingUMesh.MergeUMeshes([c1,c2]) + +Attention des noeuds sont dupliqués, il faut invoquer ``mergeNodes()``. :: + + c.mergeNodes(1e-12) + +Récupérons la peau et les faces non conformes. Ca nous savons faire, car nous avons fait les exercices avant :-) :: + + skinAndNCFaces = c.computeSkin() + +Retirons les noeuds non utilisés. Cette étape n'est pas obligatoire. :: + + skinAndNCFaces.zipCoords() + +Voici à quoi cela ressemble: + +.. image:: images/skinandnccells_numpy.png + +OK maintenant on va séparer les cellules de bord des cellules non conformes grâce au ``MEDCouplingRemapper``. +Interpolons ``skinAndNCFaces`` sur lui-même. On acceptera un écart entre face de 1e-12 et un warping max de 0.01. :: + + from MEDCouplingRemapper import MEDCouplingRemapper + rem = MEDCouplingRemapper() + rem.setMaxDistance3DSurfIntersect(1e-12) + rem.setMinDotBtwPlane3DSurfIntersect(0.99) + rem.prepare(skinAndNCFaces,skinAndNCFaces,"P0P0") + +Récupérer la matrice creuse au format CSR du remapper. :: + + mat = rem.getCrudeCSRMatrix() + +.. note:: Le format CSR est un format de stockage efficace des matrices + creuses : `Sparse matrix CSR `_ + +Comme nous avons bien suivi les exos sur NumPy, grâce au NumPy array ``mat.indptr`` on peut récupérer +l'ensemble des lignes de la matrice ``mat`` ayant exactement un élément non nul. :: + + indptr = mc.DataArrayInt(mat.indptr) + indptr2 = indptr.deltaShiftIndex() + cellIdsOfSkin = indptr2.getIdsEqual(1) + +C'est presque fini. Créer le sous maillage contenant uniquement la peau et l'écrire dans +un fichier VTK ou MED pour le visualiser avec ParaView. :: + + skin = skinAndNCFaces[cellIdsOfSkin] + skin.writeVTK("skin.vtu") + +.. note:: ``skin`` contient des noeuds orphelins, on peut les retirer avec ``skin.zipCoords()``. + +Et voilà ce que cela donne : + +.. image:: images/skinonly_numpy.png + +Script complet +~~~~~~~~~~~~~~ + +:ref:`python_testMEDCouplingNumPy_solution` + diff --git a/doc/tutorial/medcouplingnumpy_fr.rst b/doc/tutorial/medcouplingnumpy_fr.rst new file mode 100644 index 000000000..a6dc90e50 --- /dev/null +++ b/doc/tutorial/medcouplingnumpy_fr.rst @@ -0,0 +1,190 @@ + +MEDCoupling, NumPy et SciPy +---------------------------- + +NumPy est un package additionnel de python qui permet de manipuler des tableaux de manière optimisée. +Il s'agit d'un prérequis optionnel de MEDCoupling. + +NumPy est une passerelle vers le HPC Python (multiprocessing, pyCUDA, SciPy...) et offre de puissantes +fonctions de calcul vectoriel. C'est pourquoi MEDCoupling offre des liens avec NumPy. +Un bon point de départ pour la découverte de NumPy est le `Tutorial NumPy `_ + +SciPy est aussi un package de python nécessitant NumPy. Il s'agit également d'un prérequis optionnel de MEDCoupling. +SciPy offre des services d'algèbre linéaire, Fast Fourrier Transform, etc ... + +Nous allons ici faire quelques petites manipulations pour voir ce lien entre MEDCoupling et NumPy / SciPy. + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer le module Python ``MEDCoupling``: :: + + import MEDCoupling as mc + +NumPy est un prérequis optionnel, vérifions que nous en bénéficions bien : :: + + assert(mc.MEDCouplingHasNumPyBindings()) + +Nous pouvons alors importer NumPy sans problème: :: + + import numpy as np + +Convertir un DataArray en tableau NumPy et vice versa +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Créer une instance de ``DataArrayDouble`` ayant une composante et 12 tuples. +Et assigner 4. à tous les tuples. :: + + arr = mc.DataArrayDouble(12) + arr[:] = 4. + +Créons maintenant un tableau NumPy reposant sur les mêmes données que ``arr``. :: + + nparr = arr.toNumPyArray() + +Et afficher ``nparr``. :: + + print nparr.__repr__() + print nparr.tolist() + +Mais est ce qu'on ne nous a pas mystifié ? ``arr`` et ``nparr`` partagent-ils le même bloc mémoire ? +Pour le vérifier assignons 7.0 un tuple sur 2 avec ``nparr`` et vérifions que ``arr`` et ``nparr`` sont simultanément modifiés. :: + + nparr[::2] = 7. + print nparr.__repr__() + print arr.__repr__() + +C'est rigolo ! Mais si je détruis ``arr`` (le premier à avoir alloué la mémoire) est-ce que ``nparr`` est tué aussi ? +Ne risque-t-on pas le SIGSEGV ? +Testons : :: + + del arr + import gc; gc.collect() # Make sure the object has been deleted + print nparr.__repr__() + +OK super. Mais inversement puis je faire une instance de ``DataArrayDouble`` avec ``nparr`` ? Oui, en utilisant le constructeur +qui prend un ``nparray`` en entrée. +Et afficher le contenu.:: + + arr2 = mc.DataArrayDouble(nparr) + print arr2.__repr__() + +Modifions ``nparr`` en assignant 5.0 pour tous les tuples et vérifier que les 2 représentations ont bien été modifiées simultanément.:: + + nparr[:] = 5. + print nparr.__repr__() + print arr2.__repr__() + +Nous en profitons pour montrer un petit service pratique avec NumPy, à savoir, l'écriture optimisée. +Ecrivons le contenu binaire de ``nparr`` dans un fichier. :: + + f = open("toto.data","w+b") + a = np.memmap(f, dtype='float64', mode='w+', offset=0, shape=nparr.shape) + a[:] = nparr[:] + f.flush() + +Relisons "toto.data". :: + + f2 = open("toto.data","r+b") + b = np.memmap(f2,dtype='float64',mode='r',offset=0,shape=(12,)) + +Pour rigoler, assignons 3.14 à ``a``, flushons et relisons. :: + + a[:] = 3.14 + f.flush() + b = np.memmap(f2,dtype='float64',mode='r',offset=0,shape=(12,)) + print b.__repr__() + +On voit donc que le passage de MEDCoupling à NumPy se fait directement et de manière optimisée. Donc ca peut valoir le coup ! +Tout ce qui vient d'être montré marche aussi avec des ``DataArrayInt``. +Regardons la suite. + +Jouons avec SciPy +~~~~~~~~~~~~~~~~~ + +Nous allons créer un maillage non conforme. Le but sera de trouver la peau de ce maillage *sans* les surfaces non conformes. + +Nous allons faire cela en jouant avec les matrices creuses de SciPy (*sparse matrix*). Nous interpolons ce maillage non conforme +sur lui même, ce qui devrait donner une matrice diagonale si le maillage était conforme. + +Avant nous vérifions que l'on peut jouer avec SciPy ! :: + + assert(mc.MEDCouplingHasSciPyBindings()) + +Pour le moment créons un maillage non conforme. Nous collons simplement deux maillages structurés avec des +discrétisations spatiales différentes.:: + + c1 = mc.MEDCouplingCMesh() + arr1 = mc.DataArrayDouble(7) + arr1.iota() + c1.setCoords(arr1,arr1,arr1) + c2 = mc.MEDCouplingCMesh() + arr2 = mc.DataArrayDouble(9) + arr2.iota() + arr2 *= 6./8. + c2.setCoords(arr2,arr2,arr2) + +Dégénérons ``c1`` et ``c2`` en non-structuré, une translation de ``[6.,0.,0.]`` de ``c2``, et en faisant +l'agrégation des deux, c'est dans la poche. :: + + c1 = c1.buildUnstructured() + c2 = c2.buildUnstructured() + c2.translate([6.,0.,0.]) + c = mc.MEDCouplingUMesh.MergeUMeshes([c1,c2]) + +Attention des noeuds sont dupliqués, il faut invoquer ``mergeNodes()``. :: + + c.mergeNodes(1e-12) + +Récupérons la peau et les faces non conformes. Ca nous savons faire, car nous avons fait les exercices avant :-) :: + + skinAndNCFaces = c.computeSkin() + +Retirons les noeuds non utilisés. Cette étape n'est pas obligatoire. :: + + skinAndNCFaces.zipCoords() + +Voici à quoi cela ressemble: + +.. image:: images/skinandnccells_numpy.png + +OK maintenant on va séparer les cellules de bord des cellules non conformes grâce au ``MEDCouplingRemapper``. +Interpolons ``skinAndNCFaces`` sur lui-même. On acceptera un écart entre face de 1e-12 et un warping max de 0.01. :: + + from MEDCouplingRemapper import MEDCouplingRemapper + rem = MEDCouplingRemapper() + rem.setMaxDistance3DSurfIntersect(1e-12) + rem.setMinDotBtwPlane3DSurfIntersect(0.99) + rem.prepare(skinAndNCFaces,skinAndNCFaces,"P0P0") + +Récupérer la matrice creuse au format CSR du remapper. :: + + mat = rem.getCrudeCSRMatrix() + +.. note:: Le format CSR est un format de stockage efficace des matrices + creuses : `Sparse matrix CSR `_ + +Comme nous avons bien suivi les exos sur NumPy, grâce au NumPy array ``mat.indptr`` on peut récupérer +l'ensemble des lignes de la matrice ``mat`` ayant exactement un élément non nul. :: + + indptr = mc.DataArrayInt(mat.indptr) + indptr2 = indptr.deltaShiftIndex() + cellIdsOfSkin = indptr2.getIdsEqual(1) + +C'est presque fini. Créer le sous maillage contenant uniquement la peau et l'écrire dans +un fichier VTK ou MED pour le visualiser avec ParaView. :: + + skin = skinAndNCFaces[cellIdsOfSkin] + skin.writeVTK("skin.vtu") + +.. note:: ``skin`` contient des noeuds orphelins, on peut les retirer avec ``skin.zipCoords()``. + +Et voilà ce que cela donne : + +.. image:: images/skinonly_numpy.png + +Script complet +~~~~~~~~~~~~~~ + +:ref:`python_testMEDCouplingNumPy_solution` + diff --git a/doc/tutorial/medcouplingremapper_en.rst b/doc/tutorial/medcouplingremapper_en.rst new file mode 100644 index 000000000..42e16e305 --- /dev/null +++ b/doc/tutorial/medcouplingremapper_en.rst @@ -0,0 +1,125 @@ + +Interpolate with MEDCouplingRemapper +------------------------------------ + +The purpose of this exercise is to interpolate between two meshes "srcMesh" and "trgMesh". +To make the reader aware of some subtleties about interpolation, a special case +is considered: "srcMesh" is a refinement of "trgMesh". + + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +To start the exercise import the whole Python module MEDCouplingRemapper. :: + + from MEDCouplingRemapper import * + + +Create a MEDCouplingUMesh 2D instance, built from a Cartesian mesh +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Build the unstructured mesh "trgMesh" from a 2D Cartesian mesh with 10x10 cells, +starting at point [0.,0.] and having a step of 1.0 along the X and Y directions. +:: + + arr=DataArrayDouble(11) ; arr.iota(0) + trgMesh=MEDCouplingCMesh() ; trgMesh.setCoords(arr,arr) ; trgMesh=trgMesh.buildUnstructured() + +Create the source mesh "srcMesh" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Create a mesh "srcMesh" from a 2D Cartesian mesh having 20x20 cells and starting +at point [0.,0.] with a step of 0.5 along the X and Y directions. +:: + + arr=DataArrayDouble(21) ; arr.iota(0) ; arr*=0.5 + srcMesh=MEDCouplingCMesh() ; srcMesh.setCoords(arr,arr) ; srcMesh=srcMesh.buildUnstructured() + +Triangulate the 20 first cells of source mesh (using MEDCouplingUMesh.simplexize()). +Store the result in "srcMesh". +:: + + tmp=srcMesh[:20] ; tmp.simplexize(0) + srcMesh=MEDCouplingUMesh.MergeUMeshes([tmp,srcMesh[20:]]) + +Interpolate using MEDCouplingRemapper +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Compute the first part of the interpolation matrix with the following considerations: +"srcMesh" is regarded as a discretization at cell points, and so is "trgMesh". +To this end invoke prepare() on an instance of the MEDCouplingRemapper class ("remap"). +:: + + remap=MEDCouplingRemapper() + remap.prepare(srcMesh,trgMesh,"P0P0") + +Check that the computed matrix is correct in this trivial case: get the internal +interpolation matrix by calling MEDCouplingRemapper.getCrudeMatrix() and save it in +"myMatrix". This matrix gives for each cell in "trgMesh" the cell IDs of "srcMesh" +which are intersecting the target and the area of intersection. Check that for each +cell in "trgMesh" the sum of the areas is always equal to 1.0. +:: + + myMatrix=remap.getCrudeMatrix() + print myMatrix # to see what it looks like + sumByRows=DataArrayDouble(len(myMatrix)) + for i,wIt in enumerate(sumByRows): + su=0. + for it in myMatrix[i]: + su+=myMatrix[i][it] + wIt[0]=su + print "Does interpolation look OK? %s"%(str(sumByRows.isUniform(1.,1e-12))) + +.. note:: Some triangles were added into "srcMesh" to make "myMatrix" less boring. "myMatrix". + +Create a field at cell points "srcField" built from the following analytical formula: +"7-sqrt((x-5.)*(x-5.)+(y-5.)*(y-5.))" where x and y represent the usual space coordinates. +:: + + srcField=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) ; srcField.setMesh(srcMesh) + srcField.fillFromAnalytic(1,"7-sqrt((x-5.)*(x-5.)+(y-5.)*(y-5.))") ; srcField.getArray().setInfoOnComponent(0,"powercell [W]") + +.. image:: images/Remapper1.png + +Apply the interpolation using MEDCouplingRemapper.transferField(): :: + + remap.transferField(srcField,1e300) + +.. note:: 1e300 is a default value. It will be systematically assigned to all cells + in "trgField" which do not intersect any cell in "srcMesh". The common usage is to assign + a huge value to identify what is often considered as a bug. But some other use cases + indicate using 0 here, e.g. when considering a parallel interpolation merged ultimately + with an addition. + +.. note:: An exception is raised since "srcField" hasn't got an explicitly defined nature. + In what follows the impact of this attribute on the final result will be explained. + +Set the nature of "srcField" to ConservativeVolumic (intensive field, e.g. a temperature). :: + + srcField.setNature(ConservativeVolumic) + trgFieldCV=remap.transferField(srcField,1e300) + +Check that with this nature the field integral is conserved. On the other side +the sum on cells (accumulation) is NOT conserved. :: + + print "ConservativeVolumic %lf == %lf"%(srcField.integral(True)[0],trgFieldCV.integral(True)[0]) + print "ConservativeVolumic %lf != %lf"%(srcField.getArray().accumulate()[0],trgFieldCV.getArray().accumulate()[0]) + +Set the nature of "srcField" to IntegralGlobConstraint (extensive field, e.g. a power). :: + + srcField.setNature(IntegralGlobConstraint) + trgFieldI=remap.transferField(srcField,1e300) + +Check that given this nature the field integral is NOT conserved. On the other side the +cumulative sum on cells is conserved. :: +:: + + print "IntegralGlobConstraint %lf != %lf"%(srcField.integral(True)[0],trgFieldI.integral(True)[0]) + print "IntegralGlobConstraint %lf == %lf"%(srcField.getArray().accumulate()[0],trgFieldI.getArray().accumulate()[0]) + +Visualize the fields using ParaViS. + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingremapper1_solution` diff --git a/doc/tutorial/medcouplingremapper_fr.rst b/doc/tutorial/medcouplingremapper_fr.rst new file mode 100644 index 000000000..8ea9dfa2f --- /dev/null +++ b/doc/tutorial/medcouplingremapper_fr.rst @@ -0,0 +1,150 @@ + +MEDCouplingRemapper : interpolation de champs +--------------------------------------------- + +Nous allons ici effectuer une interpolation entre deux maillages ``srcMesh`` et ``trgMesh``. +Pour mettre l'accent sur certaines petites subtilités de l'interpolation, nous prenons un cas particulier où ``srcMesh`` est +un maillage raffiné de ``trgMesh`` (avec certaines cellules découpées plus finement). + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Pour commencer l'exercice importer le module Python ``MEDCoupling`` et la +classe ``MEDCouplingRemapper`` du module ``MEDCouplingRemapper``. :: + + import MEDCoupling as mc + from MEDCouplingRemapper import MEDCouplingRemapper + + +Créer le maillage target +~~~~~~~~~~~~~~~~~~~~~~~~ + +Construire le maillage non structuré ``trgMesh`` issu d'un maillage cartésien 2D 10x10 commençant au +point ``[0.,0.]`` et ayant un pas de 1. selon X et selon Y : :: + + arr = mc.DataArrayDouble(11) + arr.iota(0) + trgMesh = mc.MEDCouplingCMesh() + trgMesh.setCoords(arr,arr) + trgMesh = trgMesh.buildUnstructured() + +Créer le maillage source +~~~~~~~~~~~~~~~~~~~~~~~~ + +Créer un maillage ``srcMesh`` issu d'un maillage cartésien 2D 20x20 cellules commençant +aussi au point ``[0.,0.]`` et ayant un pas de 0.5 selon X et selon Y : :: + + arr = mc.DataArrayDouble(21) + arr.iota(0) + arr *= 0.5 + srcMesh = mc.MEDCouplingCMesh() + srcMesh.setCoords(arr,arr) + srcMesh = srcMesh.buildUnstructured() + +Afin de rendre l'exercise plus intéressant, triangulariser à l'aide de ``MEDCouplingUMesh.simplexize()`` +les 20 premières cellules de ``srcMesh`` +(les simplexes 2D sont les triangles). Mettre le résultat dans ``srcMesh``. :: + + tmp = srcMesh[:20] # Extract a sub-part of srcMesh + tmp.simplexize(0) + srcMesh = mc.MEDCouplingUMesh.MergeUMeshes([tmp,srcMesh[20:]]) + +Interpoler avec MEDCouplingRemapper +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Nous rappelons que pour projeter un champ d'un maillage vers un autre, il faut d'abord préparer la matrice d'interpolation +qui contient les ratios de projection. + +Calculer la première partie de la matrice d'interpolation de ``srcMesh`` (discrétisée aux cellules - *P0*) +vers ``trgMesh`` (discrétisée aux cellules également). +Pour ce faire, invoquer ``MEDCouplingRemapper.prepare()`` sur une instance (``remap``) de ``MEDCouplingRemapper``. :: + + remap = MEDCouplingRemapper() + remap.prepare(srcMesh,trgMesh,"P0P0") + +Vérifier que la matrice calculée par la méthode est correcte dans notre cas trivial. +Pour ce faire, récupérer dans ``myMatrix`` la matrice interne retournée par ``MEDCouplingRemapper.getCrudeMatrix()``. +Celle-ci donne pour chaque cellule de ``trgMesh`` les identifiants de cellules de ``srcMesh`` avec +lesquelles elle s'intersecte, et l'aire d'intersection correspondante. + +Vérifier notamment que pour chaque cellule de ``trgMesh`` la somme des aires fait toujours 1. :: + + myMatrix = remap.getCrudeMatrix() + print myMatrix + sumByRows = mc.DataArrayDouble(len(myMatrix)) + for i,wIt in enumerate(sumByRows): + su = 0. + for it in myMatrix[i]: + su += myMatrix[i][it] + wIt[0] = su + print "Is interpolation well prepared?", sumByRows.isUniform(1.,1e-12) + +.. note:: Les triangles dans ``srcMesh`` ont été rajoutés pour casser la monotonie de la matrice ``myMatrix``. + +.. note:: Comme on le voit, la préparation ne nécessite que les deux maillages, et rien d'autre. + +Construire un champ aux cellules "srcField" construit à partir de la formule analytique +suivante ``7-sqrt((x-5.)*(x-5.)+(y-5.)*(y-5.))`` : :: + + srcField = mc.MEDCouplingFieldDouble(mc.ON_CELLS, mc.ONE_TIME) + srcField.setMesh(srcMesh) + srcField.fillFromAnalytic(1,"7-sqrt((x-5.)*(x-5.)+(y-5.)*(y-5.))") + srcField.getArray().setInfoOnComponent(0, "powercell [W]") + +Voici à quoi ressemble ce champ : + +.. image:: images/Remapper1.png + +Appliquer l'interpolation avec ``MEDCouplingRemapper.transferField()`` : :: + + remap.transferField(srcField, 1e300) + +.. note:: 1e300 est une valeur par défaut. Cette valeur sera systématiquement assignée à toute cellule + de ``trgField`` n'interceptant aucune cellule de ``srcMesh``. En général, les utilisateurs mettent une + valeur énorme pour repérer ce qui est souvent un bug. Mais d'autres utilisateurs, dans la perspective + d'une interpolation parallèle par exemple, mettent 0. + +.. note:: Une exception est envoyée car ``srcField`` n'a pas de *nature* définie. + Nous allons voir dans la suite l'impact de cet attribut sur le résultat final. + +Mettre la nature de ``srcField`` à ``ConservativeVolumic``. Cela signifie que le champ doit être interprété commé étant +intensif (une température par exemple). :: + + srcField.setNature(mc.ConservativeVolumic) + trgFieldCV = remap.transferField(srcField,1e300) + +Vérifier qu'avec la nature ``ConservativeVolumic``, l'intégrale du champ est conservée. Par contre, +la somme sur les cellules (accumulation) n'est **pas** conservée ! :: + + integSource = srcField.integral(True)[0] + integTarget = trgFieldCV.integral(True)[0] + print "ConservativeVolumic -- integrals: %lf == %lf" % (integSource, integTarget) + + accSource = srcField.getArray().accumulate()[0] + accTarget = trgFieldCV.getArray().accumulate()[0] + print "ConservativeVolumic -- sums: %lf != %lf" % (accSource, accTarget) + + +Maintenant mettre la nature de ``srcField`` à ``IntegralGlobConstraint``. Le champ doit être interprété commé étant +extensif (par exemple une puissance ou un volume). :: + + srcField.setNature(mc.IntegralGlobConstraint) + trgFieldI = remap.transferField(srcField,1e300) + +Vérifier qu'avec la nature ``IntegralGlobConstraint``, l'intégrale du champ n'est **pas** conservée. +Par contre, la somme sur les cellules est conservée. :: + + integSource = srcField.integral(True)[0] + integTarget = trgFieldI.integral(True)[0] + print "IntegralGlobConstraint -- integrals: %lf != %lf" % (integSource, integTarget) + + accSource = srcField.getArray().accumulate()[0] + accTarget = trgFieldI.getArray().accumulate()[0] + print "IntegralGlobConstraint -- sums: %lf == %lf" % (accSource, accTarget) + +Visualiser les champs avec ParaViS, ou en les écrivant dans un fichier. + +Solution +~~~~~~~~ + +:ref:`python_testMEDCouplingremapper1_solution` diff --git a/doc/tutorial/medloader_SplitAndMerge1_en.rst b/doc/tutorial/medloader_SplitAndMerge1_en.rst new file mode 100644 index 000000000..9f814e297 --- /dev/null +++ b/doc/tutorial/medloader_SplitAndMerge1_en.rst @@ -0,0 +1,184 @@ + +Splitting and merging a MED file using MEDLoader's advanced API +--------------------------------------------------------------- + +Objective +~~~~~~~~~ + +The aim of this exercise is to create a mesh with mixed geometrical type from scratch, and to associate two fields to it: + +* a field on cells "CellField" +* a field on nodes "NodeField" + + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +Create an unstructured mesh "m0" built from a 30x30 structured mesh (meshDim=2, spaceDim=2). +Each of the even cell of "m0" is "simplexized" (cut in triangles - method MEDCouplingUMesh.simplexize(0)) :: + + from MEDLoader import * + m0=MEDCouplingCMesh() + arr=DataArrayDouble(31,1) ; arr.iota(0.) + m0.setCoords(arr,arr) + m0=m0.buildUnstructured() + m00=m0[::2] ; m00.simplexize(0) ; m01=m0[1::2] + m0=MEDCouplingUMesh.MergeUMeshes([m00,m01]) + m0.getCoords()[:]*=1/15. + m0.setName("mesh") + +.. note:: The call to setName() on "m0" is mandatory. Don't forget that the correct naming of the meshes is paramount in the MED file context. + +Create the fields "CellField" and "NodeField" at the time-stamp (5,6) corresponding to 5.6s. +:: + + CellField=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) ; CellField.setTime(5.6,5,6) ; CellField.setMesh(m0) + CellField.setName("CellField") + CellField.fillFromAnalytic(1,"exp(-((x-1)*(x-1)+(y-1)*(y-1)))") ; CellField.getArray().setInfoOnComponent(0,"powercell [W]") + NodeField=MEDCouplingFieldDouble(ON_NODES,ONE_TIME) ; NodeField.setTime(5.6,5,6) ; NodeField.setMesh(m0) + NodeField.setName("NodeField") + NodeField.fillFromAnalytic(1,"exp(-((x-1)*(x-1)+(y-1)*(y-1)))") ; NodeField.getArray().setInfoOnComponent(0,"powernode [W]") + +"CellField" looks like this: + +.. image:: images/SplitAndMergeCell1.jpg + + +Mesh partitionning +~~~~~~~~~~~~~~~~~~ + +Cut "m0" into two distinct parts called "proc0" and "proc1". "proc0" will be contained in the bounding box [(0.,0.4),(0.,0.4)] (with a precision of 1e-10). Use the method MEDCouplingUMesh.getCellsInBoundingBox(). "proc1" is simply the complementary part of "proc0" (method DataArrayInt.buildComplement()). :: + + proc0=m0.getCellsInBoundingBox([(0.,0.4),(0.,0.4)],1e-10) + proc1=proc0.buildComplement(m0.getNumberOfCells()) + +.. image:: images/SplitAndMerge2.jpg + +Writing into two different MED files +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Starting with the partition above ("proc0" and "proc1") create two MED files called "proc0.med" et "proc1.med". :: + + NodeField0=NodeField[proc0] ; CellField0=CellField[proc0] ; CellField0.setMesh(NodeField0.getMesh()) + NodeField1=NodeField[proc1] ; CellField1=CellField[proc1] ; CellField1.setMesh(NodeField1.getMesh()) + + proc0_fname="proc0.med" + MEDLoader.WriteField(proc0_fname,NodeField0,True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh(proc0_fname,CellField0) + + proc1_fname="proc1.med" + MEDLoader.WriteField(proc1_fname,NodeField1,True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh(proc1_fname,CellField1) + +Reading and merging 2 MED files - Easy (but non optimal) version +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +In the two files "proc0.med" and "proc1.med" read the respective "CellField" with the basic API. Aggregate the two and store the result in "CellField_read". :: + + CellField0_read=MEDLoader.ReadFieldCell("proc0.med","mesh",0,"CellField",5,6) + CellField1_read=MEDLoader.ReadFieldCell("proc1.med","mesh",0,"CellField",5,6) + CellField_read=MEDCouplingFieldDouble.MergeFields([CellField0_read,CellField1_read]) + +.. note:: It might seem to the reader that the cell type information is repeated uselessly, but don't forget that the MED file norm doesn't forbid a field to be defined simultaneously on nodes and on Gauss points for example ... + +Compare "CellField_read" and "CellField0". Problem: because of the constraint on the MED file numbering, the initial numbering has been lost. Or more exactly there is no standard way to retrieve it. This means that a call to MEDCouplingFieldDouble.isEqual() won't succeed. Let's use the method MEDCouplingFieldDouble.substractInPlaceDM() which operates a renumbering based on a given policy (see HTML doc). +To this end, create a deep copy of "CellField" into "CellFieldCpy" and invoke substractInPlaceDM() on it (DM stands for "Different Meshes", contrarily to substract() which only succeeds if the fields share the same mesh). :: + + CellFieldCpy=CellField.deepCpy() + CellFieldCpy.substractInPlaceDM(CellField_read,10,1e-12) + CellFieldCpy.getArray().abs() + print CellFieldCpy.getArray().isUniform(0.,1e-12) + +Let's do the same on "NodeField". The main difference here is that redundant information is created at the boundary. :: + + NodeField0_read=MEDLoader.ReadFieldNode("proc0.med","mesh",0,"NodeField",5,6) + NodeField1_read=MEDLoader.ReadFieldNode("proc1.med","mesh",0,"NodeField",5,6) + NodeField_read=MEDCouplingFieldDouble.MergeFields([NodeField0_read,NodeField1_read]) + +.. note:: The mesh is read a second time here, which can be damaging in terms of performance. + +Invoke MEDCouplingUMesh.mergeNodes() on "NodeField_read" to remove duplicate nodes. +Make a deep copy called "NodeFieldCpy" from "NodeField" and call MEDCouplingUMesh.mergeNodes(). :: + + NodeField_read.mergeNodes(1e-10) + NodeFieldCpy=NodeField.deepCpy() + NodeFieldCpy.mergeNodes(1e-10) + +.. note:: mergeNodes() takes two epsilons: the first classical one on the absolute distance between nodes, and the second expressing a tolerance on the values. If the field value of two nodes to be merged is bigger than this an exception is raised. + +Compare "NodeFieldCpy" and "NodeField_read" still using MEDCouplingFieldDouble.substractInPlaceDM(). :: + + NodeFieldCpy.substractInPlaceDM(NodeField_read,10,1e-12) + print NodeFieldCpy.getArray().isUniform(0.,1e-12) + + +Read/write of two separated MED files - More complex but more efficient version +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +We show a more systematic and more general method to merge files. +This is the preferred route when dealing with big files . +This method adds performance but also allows to add extra information. + +Using the advanced API read the meshes of two files "proc0.med" and "proc1.med" and aggregate the result in an MEDFileUMesh instance "mergeMLMesh". +Handle all the levels (even if there is only one in the present case) using the method +MEDFileUMesh.getNonEmptyLevels() on the instance coming from "proc0.med". :: + + fileNames=["proc0.med","proc1.med"] + msML=[MEDFileMesh.New(fname) for fname in fileNames] + fsML=[MEDFileFields.New(fname) for fname in fileNames] + mergeMLMesh=MEDFileUMesh() + mergeMLFields=MEDFileFields() + for lev in msML[0].getNonEmptyLevels(): + o2nML=len(msML[0].getNonEmptyLevels())*[None] + cs=[mML.getCoords() for mML in msML] + mergeMLMesh.setCoords(DataArrayDouble.Aggregate(cs)) + ms=[mML.getMeshAtLevel(lev) for mML in msML] + m=MEDCouplingUMesh.MergeUMeshes(ms) ; m.setCoords(mergeMLMesh.getCoords()) + o2nML[lev]=m.sortCellsInMEDFileFrmt() + mergeMLMesh.setMeshAtLevel(lev,m) + pass + + for fieldName in fsML[0].getFieldsNames(): + fmts=[fML[fieldName] for fML in fsML] + mergeField=MEDFileFieldMultiTS() + for dt,it,tim in fmts[0].getTimeSteps(): + fts=[fmt[dt,it] for fmt in fmts] + arrs=len(fts)*[None] + for typp in fts[0].getTypesOfFieldAvailable(): + arr1s=[] + if typp==ON_CELLS: + for ft in fts: + for geoTyp,smth in ft.getFieldSplitedByType(): + if geoTyp!=NORM_ERROR: + smth1=filter(lambda x:x[0]==ON_CELLS,smth) + arr2s=[ft.getUndergroundDataArray()[elt[1][0]:elt[1][1]] for elt in smth1] + arr1s.append(DataArrayDouble.Aggregate(arr2s)) + pass + pass + pass + pass + else: + for ft in fts: + smth=filter(lambda x:x[0]==NORM_ERROR,ft.getFieldSplitedByType()) + arr2=DataArrayDouble.Aggregate([ft.getUndergroundDataArray()[elt[1][0][1][0]:elt[1][0][1][1]] for elt in smth]) + arr1s.append(arr2) + pass + pass + arr=DataArrayDouble.Aggregate(arr1s) + if typp==ON_CELLS: + arr.renumberInPlace(o2nML[lev]) + mcf=MEDCouplingFieldDouble(typp,ONE_TIME) ; mcf.setName(fieldName) ; mcf.setTime(tim,dt,it) ; mcf.setArray(arr) + mcf.setMesh(mergeMLMesh.getMeshAtLevel(lev)) ; mcf.checkCoherency() + mergeField.appendFieldNoProfileSBT(mcf) + pass + pass + mergeMLFields.pushField(mergeField) + pass + mergeMLMesh.write("merge.med",2) + mergeMLFields.write("merge.med",0) + + +Solution +~~~~~~~~ + +:ref:`python_testMEDLoaderSplitAndMerge1_solution` diff --git a/doc/tutorial/medloader_SplitAndMerge1_fr.rst b/doc/tutorial/medloader_SplitAndMerge1_fr.rst new file mode 100644 index 000000000..10e39f5db --- /dev/null +++ b/doc/tutorial/medloader_SplitAndMerge1_fr.rst @@ -0,0 +1,220 @@ + +Spliter et fusionner un fichier MED grâce à l'API avancée de MEDLoader +---------------------------------------------------------------------- + +Objectif +~~~~~~~~ + +Cet exercise présente un cas complet et avancé d'utilisation de l'API avancée de MEDLoader. +Le but est de créer un maillage multi-type à partir de rien avec 2 champs : + +* un champ aux cellules "CellField" +* un champ aux noeuds "NodeField" + +Nous allons ensuite couper ces champs en deux parties (dans le but d'un traitement en parallèle par un code par exemple) +et aussi montrer comment re-fusionner deux champs à partir de morceaux disjoints. + +Début de l'implémentation +~~~~~~~~~~~~~~~~~~~~~~~~~ + +Créer un unstructured mesh ``m0`` issu d'un maillage structuré (meshDim=2, spaceDim=2) de 30*30. +Chacune des cellules paires du maillage sera *simplexisée* (i.e. coupée en triangle - méthode ``MEDCouplingUMesh.simplexize(0)``) :: + + import MEDLoader as ml + from MEDLoader import MEDLoader + + m0 = ml.MEDCouplingCMesh() + arr = ml.DataArrayDouble(31,1) ; arr.iota(0.) + m0.setCoords(arr,arr) + m0 = m0.buildUnstructured() + m00 = m0[::2] # Extract even cells + m00.simplexize(0) + m01 = m0[1::2] + m0 = ml.MEDCouplingUMesh.MergeUMeshes([m00,m01]) + m0.getCoords()[:] *= 1/15. + m0.setName("mesh") + +.. note:: Le ``setName()`` sur "m0" est obligatoire. Ne pas oublier que dans le contexte MED fichier + le nommage correct des maillages est fondamental. + +Créer les champs ``cellField`` et ``nodeField`` au pas de temps identifié à (5,6) et au pas de temps 5.6 s. :: + + # Cell field + cellField = ml.MEDCouplingFieldDouble(ml.ON_CELLS, ml.ONE_TIME) + cellField.setTime(5.6,5,6) + cellField.setMesh(m0) + cellField.setName("CellField") + cellField.fillFromAnalytic(1,"exp(-((x-1)*(x-1)+(y-1)*(y-1)))") + cellField.getArray().setInfoOnComponent(0,"powercell [W]") + # Node field + nodeField = ml.MEDCouplingFieldDouble(ml.ON_NODES,ml.ONE_TIME) + nodeField.setTime(5.6,5,6) + nodeField.setMesh(m0) + nodeField.setName("NodeField") + nodeField.fillFromAnalytic(1,"exp(-((x-1)*(x-1)+(y-1)*(y-1)))") + nodeField.getArray().setInfoOnComponent(0,"powernode [W]") + +On obtient par exemple pour "CellField" ceci : + +.. image:: images/SplitAndMergeCell1.jpg + + +Partitionnement de maillage +~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Couper ``m0`` en deux parties distinctes. Les deux parties seront nommées ``proc0`` et ``proc1``. +``proc0`` sera la partie dans la boîte englobante (``MEDCouplingUMesh.getCellsInBoundingBox()``) ``[(0.,0.4),(0.,0.4)]`` +à 1e-10 près. ``proc1`` sera le complémentaire (``DataArrayInt.buildComplement()``). :: + + proc0 = m0.getCellsInBoundingBox([(0.,0.4),(0.,0.4)],1e-10) + proc1 = proc0.buildComplement(m0.getNumberOfCells()) + +.. image:: images/SplitAndMerge2.jpg + +Ecriture dans 2 fichiers MED séparés +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +En partant du partitionnement ``proc0`` et ``proc1`` créer 2 fichiers MED appelés "proc0.med" et "proc1.med" : :: + + nodeField0 = nodeField[proc0] ; cellField0 = cellField[proc0] ; cellField0.setMesh(nodeField0.getMesh()) + nodeField1 = nodeField[proc1] ; cellField1 = cellField[proc1] ; cellField1.setMesh(nodeField1.getMesh()) + + proc0_fname = "proc0.med" + MEDLoader.WriteField(proc0_fname, nodeField0, True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh(proc0_fname, cellField0) + + proc1_fname = "proc1.med" + MEDLoader.WriteField(proc1_fname,nodeField1,True) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh(proc1_fname,cellField1) + +Lecture et fusion des 2 fichiers MED séparés (non optimal) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Partant de "proc0.med" et de "proc1.med" lire leur "CellField" respectif avec l'API basique, +agréger les deux et mettre le résultat dans ``cellField_read`` : :: + + cellField0_read = MEDLoader.ReadFieldCell("proc0.med","mesh",0,"CellField",5,6) + cellField1_read = MEDLoader.ReadFieldCell("proc1.med","mesh",0,"CellField",5,6) + cellField_read = ml.MEDCouplingFieldDouble.MergeFields([cellField0_read,cellField1_read]) + +.. note:: On peut avoir l'impression que l'information Cell (méthode ``ReadFieldCell``) est répétée de manière abusive + (effectivement le champ "CellField" a été créé aux cellules), + mais ne pas oublier que dans la norme MED fichier rien n'interdit qu'un champ repose sur des cellules mais + aussi simultanément sur des noeuds, ou des points de Gauss ... + +Comparer ``cellField_read`` et ``cellField0``. Problème, à cause de la contrainte sur la numérotation MED fichier, +on a perdu la numérotation initiale. Ou plus exactement il n'y a pas +de moyen standard de retrouver la numérotation originale. Donc un ``MEDCouplingFieldDouble.isEqual()`` +n'est pas suffisant. Utilisons un ``MEDCouplingFieldDouble.substractInPlaceDM()`` +qui opère pour nous une renumérotation suivant une politique particulière (*policy*, voir doc html). +Pour ce faire une copie profonde (*deep copy*) de ``cellField`` vers ``cellFieldCpy`` et opérer sur cette copie +un ``substractInPlaceDM`` (DM pour "Different Meshes", contrairement à ``substract`` qui ne marche que +s'ils partagent le même maillage): :: + + cellFieldCpy = cellField.deepCpy() + cellFieldCpy.substractInPlaceDM(cellField_read,10,1e-12) + cellFieldCpy.getArray().abs() + print cellFieldCpy.getArray().isUniform(0.,1e-12) + +Opérons le même travail sur "NodeField" que celui réalisé plus haut sur "CellField". +La différence ici c'est qu'il va y avoir duplication de l'information à la frontière, car les noeuds limites sont partagés +des deux côtés : :: + + nodeField0_read = MEDLoader.ReadFieldNode("proc0.med","mesh",0,"NodeField",5,6) + nodeField1_read = MEDLoader.ReadFieldNode("proc1.med","mesh",0,"NodeField",5,6) + nodeField_read = ml.MEDCouplingFieldDouble.MergeFields([nodeField0_read, nodeField1_read]) + +.. note:: Dans cette partie, on a donc relu le maillage une deuxième fois ce qui peut être pénalisant ... + +Invoquer ``MEDCouplingUMesh.mergeNodes()`` sur ``nodeField_read`` pour lui retirer les noeuds dupliqués. +Faire une deep copy appelée ``nodeFieldCpy`` de ``nodeField`` +et supprimer encore les doublons : :: + + nodeField_read.mergeNodes(1e-10) + nodeFieldCpy = nodeField.deepCpy() + nodeFieldCpy.mergeNodes(1e-10) + +.. note:: A noter que ``mergeNodes()`` possède deux paramètres de précisions (*epsilons*), le premier, + classique, sur la distance absolue entre les noeuds, et l'autre sur la tolérance acceptée sur les valeurs du champ. + Si la valeur du champ de deux noeuds à fusionner dépasse ce deuxième epsilon, une exception est levée. + +Comparer ``nodeFieldCpy`` et ``nodeField_read`` toujours en utilisant ``MEDCouplingFieldDouble.substractInPlaceDM()`` : :: + + nodeFieldCpy.substractInPlaceDM(nodeField_read,10,1e-12) + print nodeFieldCpy.getArray().isUniform(0.,1e-12) + + +Lecture et merge des 2 fichiers MED séparés (moins facile, mais plus optimal) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Il s'agit ici de faire une méthode plus systématique et potentiellement plus générale de fusion de fichiers. +Pour de gros fichiers cette approche est à préférer. +Outre la performance, cette approche a l'avantage de pouvoir rajouter des infos. + +Avec l'API avancée lire les maillages des deux fichiers "proc0.med" et "proc1.med" et agréger le résultat +dans une instance ``mergeMLMesh`` de ``MEDFileUMesh``. +Traiter tous les niveaux de dimension (même si ici il n'y en a qu'un seul) en utilisant la méthode ``MEDFileUMesh.getNonEmptyLevels()`` +sur l'instance venant de "proc0.med". + +La solution donnée ci-dessous est la plus générique possible, car elle traite aussi les différents pas de temps et les +différents types géométriques : :: + + fileNames = ["proc0.med","proc1.med"] + msML = [ml.MEDFileMesh.New(fname) for fname in fileNames] + fsML = [ml.MEDFileFields.New(fname) for fname in fileNames] + mergeMLMesh = ml.MEDFileUMesh() + mergeMLFields = ml.MEDFileFields() + for lev in msML[0].getNonEmptyLevels(): + o2nML = len(msML[0].getNonEmptyLevels())*[None] + cs = [mML.getCoords() for mML in msML] + mergeMLMesh.setCoords(ml.DataArrayDouble.Aggregate(cs)) + ms = [mML.getMeshAtLevel(lev) for mML in msML] + m = ml.MEDCouplingUMesh.MergeUMeshes(ms) ; m.setCoords(mergeMLMesh.getCoords()) + o2nML[lev] = m.sortCellsInMEDFileFrmt() + mergeMLMesh.setMeshAtLevel(lev,m) + pass + + for fieldName in fsML[0].getFieldsNames(): + fmts = [fML[fieldName] for fML in fsML] + mergeField = ml.MEDFileFieldMultiTS() + for dt,it,tim in fmts[0].getTimeSteps(): + fts = [fmt[dt,it] for fmt in fmts] + arrs = len(fts)*[None] + for typp in fts[0].getTypesOfFieldAvailable(): + arr1s = [] + if typp == ml.ON_CELLS: + for ft in fts: + for geoTyp,smth in ft.getFieldSplitedByType(): + if geoTyp != ml.NORM_ERROR: + smth1 = filter(lambda x:x[0] == ml.ON_CELLS,smth) + arr2s = [ft.getUndergroundDataArray()[elt[1][0]:elt[1][1]] for elt in smth1] + arr1s.append(ml.DataArrayDouble.Aggregate(arr2s)) + pass + pass + pass + pass + else: + for ft in fts: + smth = filter(lambda x:x[0] == ml.NORM_ERROR,ft.getFieldSplitedByType()) + arr2 = ml.DataArrayDouble.Aggregate([ft.getUndergroundDataArray()[elt[1][0][1][0]:elt[1][0][1][1]] for elt in smth]) + arr1s.append(arr2) + pass + pass + arr = ml.DataArrayDouble.Aggregate(arr1s) + if typp == ml.ON_CELLS: + arr.renumberInPlace(o2nML[lev]) + mcf = ml.MEDCouplingFieldDouble(typp,ml.ONE_TIME) ; mcf.setName(fieldName) ; mcf.setTime(tim,dt,it) ; mcf.setArray(arr) + mcf.setMesh(mergeMLMesh.getMeshAtLevel(lev)) ; mcf.checkCoherency() + mergeField.appendFieldNoProfileSBT(mcf) + pass + pass + mergeMLFields.pushField(mergeField) + pass + mergeMLMesh.write("merge.med",2) + mergeMLFields.write("merge.med",0) + + +Solution +~~~~~~~~ + +:ref:`python_testMEDLoaderSplitAndMerge1_solution` diff --git a/doc/tutorial/medloader_advancedAPI1_en.rst b/doc/tutorial/medloader_advancedAPI1_en.rst new file mode 100644 index 000000000..d311f870e --- /dev/null +++ b/doc/tutorial/medloader_advancedAPI1_en.rst @@ -0,0 +1,152 @@ + +Reading, Writing a MED file using MEDLoader's advanced API +---------------------------------------------------------- + +The advanced API is incarnated by the MEDFile* classes in the MEDLoader library. + +* MEDFileMesh, MEDFileUMesh, MEDFileCMesh +* MEDFileMeshes, MEDFileMeshMultiTS +* MEDFileField1TS, MEDFileFieldMultiTS +* MEDFileFields, MEDFileFieldGlobs +* MEDFileData + +Objective +~~~~~~~~~ + +Write a mesh and a field from scratch, re-read them and compare the result. + +Topics covered: + +* Read/Write Mesh using MEDLoader's advanced API +* Read/Write Field using MEDLoader's advanced API + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +To implement this exercise we use the Python scripting language and import the MEDLoader Python module. +The whole MEDCoupling module is fully included in MEDLoader. No need to import MEDCoupling when MEDLoader has been loaded. :: + + from MEDLoader import * + +Writing and Reading meshes using MEDLoader's advanced API +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +First of all, creation of a mesh "targetMesh". :: + + targetCoords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; + targetConn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; + targetMesh=MEDCouplingUMesh.New("MyMesh",2); + targetMesh.allocateCells(5); + targetMesh.insertNextCell(NORM_TRI3,3,targetConn[4:7]); + targetMesh.insertNextCell(NORM_TRI3,3,targetConn[7:10]); + targetMesh.insertNextCell(NORM_QUAD4,4,targetConn[0:4]); + targetMesh.insertNextCell(NORM_QUAD4,4,targetConn[10:14]); + targetMesh.insertNextCell(NORM_QUAD4,4,targetConn[14:18]); + targetMesh.finishInsertingCells(); + myCoords=DataArrayDouble.New(targetCoords,9,2); + targetMesh.setCoords(myCoords); + + +.. note:: targetMesh is grouped by geometric type. + +Build "targetMesh1" representing the sub-constituents (faces) of "targetMesh" reduced to cell ids [3,4,7,8]. +:: + + targetMeshConsti=targetMesh.buildDescendingConnectivity()[0] + targetMesh1=targetMeshConsti[[3,4,7,8]] + targetMesh1.setName(targetMesh.getName()) + +.. note:: "targetMesh1" will be recorded as a part of the same global mesh in the MED file, so it must have the same name! + +Then we are ready to write targetMesh and targetMesh1 into TargetMesh2.med. :: + + meshMEDFile=MEDFileUMesh.New() + meshMEDFile.setMeshAtLevel(0,targetMesh) + meshMEDFile.setMeshAtLevel(-1,targetMesh1) + meshMEDFile.write("TargetMesh2.med",2) # 2 stands for write from scratch + +Create 2 groups on level 0. The first called "grp0_Lev0" on cells [0,1,3] and the second called "grp1_Lev0" on cells [1,2,3,4] :: + + grp0_0=DataArrayInt.New([0,1,3]) ; grp0_0.setName("grp0_Lev0") + grp1_0=DataArrayInt.New([1,2,3,4]) ; grp1_0.setName("grp1_Lev0") + meshMEDFile.setGroupsAtLevel(0,[grp0_0,grp1_0]) + +Create 3 groups on level -1. The 1st called "grp0_LevM1" on cells [0,1], the 2nd called "grp1_LevM1" on cells [0,1,2], and the 3rd called "grp2_LevM1" on cells [1,2,3] :: + + grp0_M1=DataArrayInt.New([0,1]) ; grp0_M1.setName("grp0_LevM1") + grp1_M1=DataArrayInt.New([0,1,2]) ; grp1_M1.setName("grp1_LevM1") + grp2_M1=DataArrayInt.New([1,2,3]) ; grp2_M1.setName("grp2_LevM1") + meshMEDFile.setGroupsAtLevel(-1,[grp0_M1,grp1_M1,grp2_M1]) + + +Then trying to read it. :: + + meshMEDFileRead=MEDFileMesh.New("TargetMesh2.med") + meshRead0=meshMEDFileRead.getMeshAtLevel(0) + meshRead1=meshMEDFileRead.getMeshAtLevel(-1) + print "Is the mesh at level 0 read in file equals targetMesh ? %s"%(meshRead0.isEqual(targetMesh,1e-12)) + print "Is the mesh at level -1 read in file equals targetMesh ? %s"%(meshRead1.isEqual(targetMesh1,1e-12)) + +Print available levels for group "grp0_Lev0" :: + + print meshMEDFileRead.getGrpNonEmptyLevels("grp0_Lev0") + +Request for cell ids of group "grp0_Lev0" :: + + grp0_0_read=meshMEDFileRead.getGroupArr(0,"grp0_Lev0") + print "Is group \"grp0_Lev0\" are the same ? %s"%(grp0_0_read.isEqual(grp0_0)) + +Writing and Reading fields +~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Creation of a simple vector field on cells called f. :: + + f=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME) + f.setTime(5.6,7,8) + f.setArray(targetMesh.getBarycenterAndOwner()) + f.setMesh(targetMesh) + f.setName("AFieldName") + +Put f into a MEDFileField1TS for preparation of MED writing :: + + fMEDFile=MEDFileField1TS.New() + fMEDFile.setFieldNoProfileSBT(f) + +Append field to "TargetMesh2.med" :: + + fMEDFile.write("TargetMesh2.med",0) # 0 is very important here because we want to append to TargetMesh2.med and not to overwrite it + +Read it : :: + + fMEDFileRead=MEDFileField1TS.New("TargetMesh2.med",f.getName(),7,8) + fRead1=fMEDFileRead.getFieldOnMeshAtLevel(ON_CELLS,0,meshMEDFileRead) # fastest method. No reading of the supporting mesh. + fRead2=fMEDFileRead.getFieldAtLevel(ON_CELLS,0) # like above but mesh is re-read from file... + print "Does the field f remain the same using fast method ? %s"%(fRead1.isEqual(f,1e-12,1e-12)) + print "Does the field f remain the same using slow method ? %s"%(fRead2.isEqual(f,1e-12,1e-12)) + +Writing and Reading fields on a "profile" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Build a reduction on cells [1,2,3] of f and call it fPart. :: + + pfl=DataArrayInt.New([1,2,3]) ; pfl.setName("My1stPfl") + fPart=f.buildSubPart(pfl) + fPart.setName("fPart") + +Put it into MEDFileField1TS data structure. :: + + fMEDFile2=MEDFileField1TS.New() + fMEDFile2.setFieldProfile(fPart,meshMEDFileRead,0,pfl) + fMEDFile2.write("TargetMesh2.med",0) # 0 is very important here because we want to append to TargetMesh2.med and not to scratch it + +Read "fPart" field from File "TargetMesh2.med". :: + + fMEDFileRead2=MEDFileField1TS.New("TargetMesh2.med",fPart.getName(),7,8) + fPartRead,pflRead=fMEDFileRead2.getFieldWithProfile(ON_CELLS,0,meshMEDFileRead) + print fPartRead.isEqualWithoutConsideringStr(fPart.getArray(),1e-12) + print pflRead.isEqualWithoutConsideringStr(pfl) + +Solution +~~~~~~~~ + +:ref:`python_testMEDLoaderAdvancedAPI1_solution` diff --git a/doc/tutorial/medloader_advancedAPI1_fr.rst b/doc/tutorial/medloader_advancedAPI1_fr.rst new file mode 100644 index 000000000..98caa012d --- /dev/null +++ b/doc/tutorial/medloader_advancedAPI1_fr.rst @@ -0,0 +1,189 @@ + +Lecture, écriture d'un fichier MED grâce à l'API avancée de MEDLoader +--------------------------------------------------------------------- + +L'API avancée de MEDLoader est représentée par les classes ``MEDFile*`` de la bibliothèque MEDLoader. + +* Au plus haut niveau, pour l'ensemble du fichier: ``MEDFileData``, +* Pour l'ensemble des maillages du fichier : ``MEDFileMeshes``, +* Pour chacun des maillages : ``MEDFileMeshMultiTS``, ``MEDFileMesh``, ``MEDFileUMesh``, ``MEDFileCMesh``, +* Pour l'ensemble des champs du fichier : ``MEDFileFields``, ``MEDFileFieldGlobs``, +* Et enfin pour chacun des champs : ``MEDFileField1TS``, ``MEDFileFieldMultiTS`` + + +Objectif +~~~~~~~~ + +Ecrire un maillage et un champ à partir de rien, les relire et comparer les résultats. + +Points abordés : en utilisant l'API avancée de MEDLoader, + +* Ecrire un fichier +* Lire un fichier + +Début d'implémentation +~~~~~~~~~~~~~~~~~~~~~~ + +Cet exercice repose comme tous les autres sur le language de script Python. On charge +le module Python ``MEDLoader``. + +Pour information, le module ``MEDCoupling`` complet est inclus dans ``MEDLoader``. Pas besoin de l'importer +si ``MEDLoader`` a été chargé. :: + + import MEDLoader as ml + from MEDLoader import MEDLoader + +Lecture, écriture d'un maillage +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Nous créons tout d'abord le même maillage ``targetMesh`` que pour l'API simple. :: + + targetCoords = [-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + targetConn = [0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + targetMesh = ml.MEDCouplingUMesh("MyMesh",2) + targetMesh.allocateCells(5) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[4:7]) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[7:10]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[0:4]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[10:14]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[14:18]) + targetMesh.finishInsertingCells() + myCoords = ml.DataArrayDouble(targetCoords,9,2) + myCoords.setInfoOnComponents(["X [km]","YY [mm]"]) + targetMesh.setCoords(myCoords) + +.. note:: Le maillage ``targetMesh`` est ordonné par type géométrique. + +Nous construisons ensuite ``targetMesh1`` représentant les sous-constituants (*faces*) du maillage +``targetMesh`` reduits aux cellules [3,4,7,8]. Cela peut par exemple représenter un ensemble d'intérêt pour un calcul : :: + + targetMeshConsti, _, _, _, _ = targetMesh.buildDescendingConnectivity() + targetMesh1 = targetMeshConsti[[3,4,7,8]] + targetMesh1.setName(targetMesh.getName()) + +.. note:: En Python, le underscore ``_`` signifie que l'on attend une valeur de retour, mais qu'on n'en aura pas l'usage + (on ne la *bind* pas). +.. note:: ``targetMesh1`` sera sauvé comme étant une partie du même maillage global dans le fichier MED. + Il doit donc avoir le même nom. C'est là qu'on voit qu'un maillage au sens MED fichier peut mélanger les dimensions. + +On peut alors écrire les deux maillages dans le fichier "TargetMesh2.med". :: + + meshMEDFile = ml.MEDFileUMesh() + meshMEDFile.setMeshAtLevel(0,targetMesh) + meshMEDFile.setMeshAtLevel(-1,targetMesh1) + meshMEDFile.write("TargetMesh2.med",2) # 2 stands for 'write from scratch' + +Lecture, écriture de groupes de mailles +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Créons deux groupes de cellules sur le maillage 2D, c'est à dire au niveau relatif 0 (ici, le niveau relatif 0 correspond +à la 2D, le niveau -1 +correspond à la 1D, etc ...). Le premier groupe ``grp0_Lev0`` contient les cellules [0,1,3] +le second ``grp1_Lev0`` les cellules [1,2,3,4] : :: + + grp0_0 = ml.DataArrayInt([0,1,3]) + grp0_0.setName("grp0_Lev0") + grp1_0 = ml.DataArrayInt([1,2,3,4]) + grp1_0.setName("grp1_Lev0") + meshMEDFile.setGroupsAtLevel(0, [grp0_0,grp1_0]) + +.. note:: On voit évidemment ici l'importance de nommer les tableaux : c'est le nom qui sera utilisé pour le groupe. + +Créons trois groupes de niveau -1, c'est à dire des groupes de faces. Le premier appelé +``grp0_LevM1`` aux cellules [0,1], le second appelé ``grp1_LevM1`` aux cellules [0,1,2], et le 3ème ``grp2_LevM1`` +aux cellules [1,2,3] : :: + + grp0_M1 = ml.DataArrayInt([0,1]) + grp0_M1.setName("grp0_LevM1") + grp1_M1 = ml.DataArrayInt([0,1,2]) + grp1_M1.setName("grp1_LevM1") + grp2_M1 = ml.DataArrayInt([1,2,3]) + grp2_M1.setName("grp2_LevM1") + meshMEDFile.setGroupsAtLevel(-1,[grp0_M1,grp1_M1,grp2_M1]) + +Ecrivons le tout : :: + + meshMEDFile.write("TargetMesh2.med",2) # 2 stands for 'write from scratch' + +Nous pouvons ensuite re-lire le fichier MED : :: + + meshMEDFileRead = ml.MEDFileMesh.New("TargetMesh2.med") # a new is needed because it returns a MEDFileUMesh (MEDFileMesh is abstract) + meshRead0 = meshMEDFileRead.getMeshAtLevel(0) + meshRead1 = meshMEDFileRead.getMeshAtLevel(-1) + print "Is level 0 in the file equal to 'targetMesh'?", meshRead0.isEqual(targetMesh,1e-12) + print "Is level 0 in the file equal to 'targetMesh1'?", meshRead1.isEqual(targetMesh1,1e-12) + +Affichons les niveaux disponibles pour le groupe ``grp0_Lev0`` : :: + + print meshMEDFileRead.getGrpNonEmptyLevels("grp0_Lev0") + +Et récupérons enfin les identifiants de cellules contenus dans le groupe ``grp0_Lev0`` : :: + + grp0_0_read = meshMEDFileRead.getGroupArr(0,"grp0_Lev0") + print "Is group 'grp0_Lev0' equal to what is read in the file?" , grp0_0_read.isEqual(grp0_0) + +Lire/écrire des champs avec l'API avancée +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Créons un champ de vecteurs simple, aux cellules (P0), avec un seul pas de temps, appelé ``f``. :: + + f = ml.MEDCouplingFieldDouble(ml.ON_CELLS, ml.ONE_TIME) + f.setTime(5.6,7,8) + f.setArray(targetMesh.getBarycenterAndOwner()) + f.setMesh(targetMesh) + f.setName("AFieldName") + +Stocker ``f`` dans un object ``MEDFileField1TS`` (un champ avec un seul pas de temps -- *one time-step, 1TS*) +pour préparer l'écriture MED :: + + fMEDFile = ml.MEDFileField1TS() + fMEDFile.setFieldNoProfileSBT(f) # No profile desired on the field, Sort By Type + +Ajouter le champ au fichier "TargetMesh2.med" :: + + fMEDFile.write("TargetMesh2.med",0) # 0 is paramount to indicate that we *append* (and no overwrite) to the MED file + +.. note:: Noter l'utilisation du 0 pour indiquer que nous désirons ajouter au fichier existant. + +Lire le champ : :: + + fMEDFileRead = ml.MEDFileField1TS("TargetMesh2.med",f.getName(),7,8) + fRead1 = fMEDFileRead.getFieldOnMeshAtLevel(ml.ON_CELLS,0,meshMEDFileRead) # Quickest way, not re-reading mesh in the file. + fRead2 = fMEDFileRead.getFieldAtLevel(ml.ON_CELLS,0) # Like above, but this time the mesh is read! + print "Does the field remain OK with the quick method?", fRead1.isEqual(f,1e-12,1e-12) + print "Does the field remain OK with the slow method?", fRead2.isEqual(f,1e-12,1e-12) + +Lire/écrire un champ sur un "profil" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Nous allons maintenant voir un concept avancé des fichiers MED, à savoir la possibilité d'écrire un champ sur seulement +une *partie* du maillage. La technique habituellement utilisée est plutôt de mettre des valeurs particulières (e.g. +infinity +soit 1e+300) sur les zones où le champ n'a pas de sens, permettant ainsi de repérer en plus des bugs éventuels lors du calcul. + +Le mode de fonctionnement avec les profils reste donc peu courant. + +Construisons une réduction aux cellules [1,2,3] de ``f`` et appelons la ``fPart`` : :: + + pfl = ml.DataArrayInt([1,2,3]) + pfl.setName("My1stPfl") + fPart = f.buildSubPart(pfl) + fPart.setName("fPart") + +La stocker dans la structure ``MEDFileField1TS`` et invoquer ``setFieldProfile()``. :: + + fMEDFile2 = ml.MEDFileField1TS() + fMEDFile2.setFieldProfile(fPart,meshMEDFileRead,0,pfl) # 0 is the relative level (here 0 means 2D) + fMEDFile2.write("TargetMesh2.med",0) # 0 is paramount to indicate that we *append* (and no overwrite) to the MED file + +Lire le champ ``fPart`` du fichier "TargetMesh2.med" et les identifiants de cellules correspondant. :: + + fMEDFileRead2 = ml.MEDFileField1TS("TargetMesh2.med",fPart.getName(),7,8) + fPartRead, pflRead = fMEDFileRead2.getFieldWithProfile(ml.ON_CELLS,0,meshMEDFileRead) + print "Is the partial field correclty read?", fPartRead.isEqualWithoutConsideringStr(fPart.getArray(),1e-12) + print "Is the list of cell identifiers matching?", pflRead.isEqualWithoutConsideringStr(pfl) + +Solution +~~~~~~~~ + +:ref:`python_testMEDLoaderAdvancedAPI1_solution` + diff --git a/doc/tutorial/medloader_basicAPI1_en.rst b/doc/tutorial/medloader_basicAPI1_en.rst new file mode 100644 index 000000000..3b36f5b93 --- /dev/null +++ b/doc/tutorial/medloader_basicAPI1_en.rst @@ -0,0 +1,98 @@ + +Reading, Writing a MED file using MEDLoader's basic API +------------------------------------------------------- + +The basic API is incarnated by the MEDLoader class. +All methods in that class are static. +The sessions of read/write are done on each call of a method. + +Objective +~~~~~~~~~ + +Write a mesh and a field from scratch, re-read them and compare the result. + +Topics covered: +* Write using MEDLoader's basic API +* Read using MEDLoader's basic API + +Implementation start +~~~~~~~~~~~~~~~~~~~~ + +To implement this exercise we use the Python scripting language and import the MEDLoader Python module. +The whole MEDCoupling module is fully included in MEDLoader. No need to import MEDCoupling when MEDLoader has been loaded. :: + + from MEDLoader import * + +Writing/Reading a mesh +~~~~~~~~~~~~~~~~~~~~~~ + +First of all, creation of a mesh "targetMesh". :: + + targetCoords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; + targetConn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; + targetMesh=MEDCouplingUMesh.New("MyMesh",2); + targetMesh.allocateCells(5); + targetMesh.insertNextCell(NORM_TRI3,3,targetConn[4:7]); + targetMesh.insertNextCell(NORM_TRI3,3,targetConn[7:10]); + targetMesh.insertNextCell(NORM_QUAD4,4,targetConn[0:4]); + targetMesh.insertNextCell(NORM_QUAD4,4,targetConn[10:14]); + targetMesh.insertNextCell(NORM_QUAD4,4,targetConn[14:18]); + targetMesh.finishInsertingCells(); + myCoords=DataArrayDouble.New(targetCoords,9,2); + myCoords.setInfoOnComponents(["X [km]","YY [mm]"]) + targetMesh.setCoords(myCoords); + +.. note:: targetMesh is ordered by geometric type. + +We are then ready to write it. :: + + MEDLoader.WriteUMesh("TargetMesh.med",targetMesh,True) + +Then trying to read it. :: + + meshRead=MEDLoader.ReadUMeshFromFile("TargetMesh.med",targetMesh.getName(),0) + print "Is the mesh read in file equals targetMesh? %s"%(meshRead.isEqual(targetMesh,1e-12)) + +Writing/Reading a field on one time step at once +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Creation of a vector field "f" on cell supported by "targetMesh". :: + + f=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME) + f.setTime(5.6,7,8) + f.setArray(targetMesh.getBarycenterAndOwner()) + f.setMesh(targetMesh) + f.setName("AFieldName") + MEDLoader.WriteField("MyFirstField.med",f,True) + +.. note:: Mesh AND Field is written at once into MyFirstField. + +Reading into MyFirstField.med :: + + f2=MEDLoader.ReadFieldCell("MyFirstField.med",f.getMesh().getName(),0,f.getName(),7,8) + print "Is the field read in file equals f ? %s"%(f2.isEqual(f,1e-12,1e-12)) + +Writing/Reading a field on one or many times steps in "multi-session mode" +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Here contrary to the previous steps, we are going to write in a multi-session mode on the same MED file. +First dealing with the mesh. :: + + MEDLoader.WriteUMesh("MySecondField.med",f.getMesh(),True) + +Then writing only array part of field. :: + + MEDLoader.WriteFieldUsingAlreadyWrittenMesh("MySecondField.med",f) + +Then put a another time step. :: + + f2=f.clone(True) + f2.getArray()[:]=2.0 + f2.setTime(7.8,9,10) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh("MySecondField.med",f2) + +Now "MySecondField.med" file contains 2 time steps. + +Solution +~~~~~~~~ + +:ref:`python_testMEDLoaderBasicAPI1_solution` diff --git a/doc/tutorial/medloader_basicAPI1_fr.rst b/doc/tutorial/medloader_basicAPI1_fr.rst new file mode 100644 index 000000000..0b4fec8d6 --- /dev/null +++ b/doc/tutorial/medloader_basicAPI1_fr.rst @@ -0,0 +1,129 @@ + +Lecture, écriture d'un fichier MED grâce à l'API basique de MEDLoader +--------------------------------------------------------------------- + +L'API basique de MEDLoader est contenue dans la classe ``MEDLoader``. +Toutes les méthodes de cette classe sont *statiques* (elles ne dépendent pas d'une instance particulière de la +classe), leurs noms commencent par une majuscule. +L'ensemble des lectures/écritures sont exécutées à chaque appel de méthode et aucun état interne à la classe n'est +enregistré. + +Objectif +~~~~~~~~ + +Ecrire un maillage et un champ à partir de rien, les relire et comparer les résultats. + +Points abordés: en utilisant l'API basique de ``MEDLoader`` + +* Ecrire un fichier +* Lire un fichier + +Début d'implémentation +~~~~~~~~~~~~~~~~~~~~~~ + +Cet exercice repose comme tous les autres sur le language de script Python. On charge +le module Python ``MEDLoader``. + +Pour information, le module ``MEDCoupling`` complet est inclus dans ``MEDLoader``. Pas besoin de l'importer +si ``MEDLoader`` a été chargé. :: + + import MEDLoader as ml + from MEDLoader import MEDLoader + +Lecture, écriture d'un maillage +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Tout d'abord créons un maillage ``targetMesh`` composé de plusieurs types géométriques. :: + + targetCoords = [-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + targetConn = [0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + targetMesh = ml.MEDCouplingUMesh("MyMesh",2) + targetMesh.allocateCells(5) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[4:7]) + targetMesh.insertNextCell(ml.NORM_TRI3,3,targetConn[7:10]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[0:4]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[10:14]) + targetMesh.insertNextCell(ml.NORM_QUAD4,4,targetConn[14:18]) + targetMesh.finishInsertingCells() + myCoords = ml.DataArrayDouble(targetCoords,9,2) + myCoords.setInfoOnComponents(["X [km]","YY [mm]"]) + targetMesh.setCoords(myCoords) + +.. note:: Le maillage ``targetMesh`` est ordonné par type géométrique. + +Le maillage peut alors directement être écrit ... :: + + MEDLoader.WriteUMesh("TargetMesh.med",targetMesh,True) # True means 'from scratch' + +... et relu. :: + + meshRead = MEDLoader.ReadUMeshFromFile("TargetMesh.med",targetMesh.getName(),0) + print "Is the read mesh equal to 'targetMesh' ?", meshRead.isEqual(targetMesh,1e-12) + +Lire/Ecrire un champ sur un pas de temps +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Nous créons maintenant un champ de vecteurs ``f`` aux cellules (P0) avec ``targetMesh`` comme support. +Ce champ correspond par exemple au temps physique 5.6, repéré par l'itération 7 et la sous-itération 8. +Nous en profitons pour rappeler +que dans les champs MEDCoupling, le temps physique est donné pour information seulement, le stockage et la plupart des +fonctions de l'API se basent sur les deux derniers entiers. :: + + f = ml.MEDCouplingFieldDouble.New(ml.ON_CELLS, ml.ONE_TIME) + f.setTime(5.6,7,8) # Declare the timestep associated to the field + f.setArray(targetMesh.getBarycenterAndOwner()) + f.setMesh(targetMesh) + f.setName("AFieldName") + MEDLoader.WriteField("MyFirstField.med",f,True) + +Question subsidiaire : à quoi correspond le champ ainsi créé ? + +.. note:: Le maillage **et** le champ sont écrits d'un seul coup dans le fichier "MyFirstField.med". + +Nous relisons ensuite MyFirstField.med : :: + + f2 = MEDLoader.ReadFieldCell("MyFirstField.med", f.getMesh().getName(), 0, f.getName(), 7, 8) + print "Is the read field identical to 'f' ?", f2.isEqual(f,1e-12,1e-12) + +.. note:: Lors de la lecture du champ, on doit donc connaître: son nom, le nom de sa mesh de support + et le pas de temps voulu. Des fonctions du type ``MEDFileFields.getFieldsNames()`` ou encore + ``MEDFileMeshes.getMeshesNames()`` aident à cela. + +.. note:: Le nom ``ReadFieldCell()`` rappelle que le champ doit être lu aux cellules. Souvenez-vous que suivant la + norme MED fichier, un même champ peut avoir une partie de ses données stockées aux cellules, mais aussi + simultanément aux noeuds, aux points de Gauss, etc ... même si ce genre de mélange exotique n'est généralement + pas conseillé. + +Lire/Ecrire un champ sur plusieurs pas de temps +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Ici contrairement au cas précédent, nous écrivons en plusieurs fois dans le *même* fichier MED. +Ecrivons tout d'abord le maillage. :: + + MEDLoader.WriteUMesh("MySecondField.med",f.getMesh(),True) + +Ensuite, nous écrivons seulement les informations relatives au champ (principalement son tableau de valeurs en fait +). :: + + MEDLoader.WriteFieldUsingAlreadyWrittenMesh("MySecondField.med",f) # mesh is not re-written + +Nous rajoutons ensuite un second pas de temps sur le *même* maillage. :: + + f2 = f.clone(True) # 'True' means that we need a deep copy + f2.getArray()[:] = 2.0 + f2.setTime(7.8,9,10) + MEDLoader.WriteFieldUsingAlreadyWrittenMesh("MySecondField.med",f2) + +Maintenant le fichier "MySecondField.med" contient le maillage et un champ à deux pas de temps porté par ce maillage. + +Nous pouvons relire tout cela avec des méthodes similaires à ce qui a été vu précédemment : :: + + f3 = MEDLoader.ReadFieldCell("MySecondField.med",f.getMesh().getName(),0,f.getName(),7,8) + print "Is the field read in file equals to 'f' ?", f.isEqual(f3,1e-12,1e-12) + f4 = MEDLoader.ReadFieldCell("MySecondField.med",f.getMesh().getName(),0,f.getName(),9,10) + print "Is the field read in file equals to 'f2' ?", f2.isEqual(f4,1e-12,1e-12) + +Solution +~~~~~~~~ + +:ref:`python_testMEDLoaderBasicAPI1_solution` diff --git a/doc/tutorial/medloader_en.rst b/doc/tutorial/medloader_en.rst new file mode 100644 index 000000000..19c328ba2 --- /dev/null +++ b/doc/tutorial/medloader_en.rst @@ -0,0 +1,23 @@ + +Reading, Writing a MED file using the MEDLoader library +======================================================= + +The objective of these exercises is to see how to read and write a MED file. + * Usage of MEDLoader's basic API + + * Meshes + * Fields + + * Usage of MEDLoader's advanced API + + * Meshes + * Fields + + * An Example of classical manipulation of MED files: splitting a MED file / merge a MED file + +.. toctree:: + :maxdepth: 2 + + medloader_basicAPI1_en + medloader_advancedAPI1_en + medloader_SplitAndMerge1_en diff --git a/doc/tutorial/medloader_fr.rst b/doc/tutorial/medloader_fr.rst new file mode 100644 index 000000000..af19266d1 --- /dev/null +++ b/doc/tutorial/medloader_fr.rst @@ -0,0 +1,23 @@ + +MEDLoader : lecture, écriture d'un fichier MED +============================================== + +L'objectif de ces exercices est de comprendre comment lire et écrire un fichier MED. + * Utilisation basique de l'API MEDLoader + + * Maillages + * Champs + + * Utilisation avancée de l'API MEDLoader + + * Maillages + * Champs + + * Exemple de manipulation classique de fichiers MED : splitter / fusionner un fichier MED suivant plusieurs sous-domaines + +.. toctree:: + :maxdepth: 2 + + medloader_basicAPI1_fr + medloader_advancedAPI1_fr + medloader_SplitAndMerge1_fr diff --git a/doc/salome/CMakeLists.txt b/doc/user/CMakeLists.txt similarity index 97% rename from doc/salome/CMakeLists.txt rename to doc/user/CMakeLists.txt index 9c4d7dd7a..951bc1bdd 100644 --- a/doc/salome/CMakeLists.txt +++ b/doc/user/CMakeLists.txt @@ -17,4 +17,4 @@ # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com # -ADD_SUBDIRECTORY(tui) +ADD_SUBDIRECTORY(doxygen) diff --git a/doc/doxygen/BuildPyExamplesFromCPP.py b/doc/user/doxygen/BuildPyExamplesFromCPP.py similarity index 96% rename from doc/doxygen/BuildPyExamplesFromCPP.py rename to doc/user/doxygen/BuildPyExamplesFromCPP.py index 0daa9b508..a7fd08c53 100644 --- a/doc/doxygen/BuildPyExamplesFromCPP.py +++ b/doc/user/doxygen/BuildPyExamplesFromCPP.py @@ -72,6 +72,8 @@ pyCont=cppCont[:] pyCont=[elt.replace("medcouplingcppexamples","medcouplingpyexamples") for elt in pyCont] pyCont=Cpp2Python(pyCont) +s= "Be sure to take a look at the page \\ref python-api before proceeding." +pyCont.insert(2, s) cppCont=discardPythonFrom(cppCont) # remove Python-only contents from Cpp # Save CPP and PY examples in two separate dox files diff --git a/doc/doxygen/CMakeLists.txt b/doc/user/doxygen/CMakeLists.txt similarity index 98% rename from doc/doxygen/CMakeLists.txt rename to doc/user/doxygen/CMakeLists.txt index 99392afa3..2b5209f9c 100644 --- a/doc/doxygen/CMakeLists.txt +++ b/doc/user/doxygen/CMakeLists.txt @@ -22,7 +22,7 @@ SALOME_CONFIGURE_FILE(static/header.html.in static/header.html) IF(SALOME_MED_ENABLE_PYTHON) - INCLUDE(doxy2swig/doxy2swig.cmake) + INCLUDE(doxy2swig/doxy2swig.cmake) FILE(TO_NATIVE_PATH "${CMAKE_CURRENT_BINARY_DIR}/tmp/medcouplingexamples.in" input) FILE(TO_NATIVE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/BuildPyExamplesFromCPP.py" pythondocexamplesgenerator) @@ -70,7 +70,7 @@ IF(SALOME_MED_ENABLE_PYTHON) SALOME_MED_SWIG_DOCSTRING_CONFIGURE(usr_docs swig_ready MEDCoupling) SALOME_MED_SWIG_DOCSTRING_CONFIGURE(usr_docs swig_ready MEDLoader) - + SET(doxyfile_med_user ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile_med_user) FILE(STRINGS ${doxyfile_med_user} enabled_sections REGEX "ENABLED_SECTIONS") IF(enabled_sections) diff --git a/doc/doxygen/Doxyfile_med_user.in b/doc/user/doxygen/Doxyfile_med_user.in similarity index 82% rename from doc/doxygen/Doxyfile_med_user.in rename to doc/user/doxygen/Doxyfile_med_user.in index 1ecbb3e27..6c4cc970d 100644 --- a/doc/doxygen/Doxyfile_med_user.in +++ b/doc/user/doxygen/Doxyfile_med_user.in @@ -71,38 +71,44 @@ WARN_LOGFILE = log_user # configuration options related to the input files #--------------------------------------------------------------------------- -INPUT = @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/intro.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/glossary.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/library.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/medcoupling.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/medloader.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/interptools.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/functionalities.dox \ - @CMAKE_CURRENT_BINARY_DIR@/medcouplingexamplesPY.dox \ +INPUT = @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/index.dox \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/faq.dox \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/start \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/tutorial.dox \ @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/gui.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/tools.dox \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/arrays \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/meshes \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/fields \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/medloader \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/interpolation \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/cpp \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/distrib \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/reference/misc \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/examples/examples.dox \ + @CMAKE_CURRENT_BINARY_DIR@/medcouplingexamplesPY.dox \ @CMAKE_CURRENT_BINARY_DIR@/medcouplingexamplesCPP.dox \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/medcoupling \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/medloader \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/interpolation \ - @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/install.dox \ + @CMAKE_CURRENT_SOURCE_DIR@/doxfiles/appendix \ @CMAKE_CURRENT_SOURCE_DIR@/fakesources \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/ParaMEDMEM \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/INTERP_KERNEL \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/INTERP_KERNEL/Bases \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/INTERP_KERNEL/Geometric2D \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/MEDCoupling \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/MEDLoader + @PROJECT_SOURCE_DIR@/src/ParaMEDMEM \ + @PROJECT_SOURCE_DIR@/src/INTERP_KERNEL \ + @PROJECT_SOURCE_DIR@/src/INTERP_KERNEL/Bases \ + @PROJECT_SOURCE_DIR@/src/INTERP_KERNEL/Geometric2D \ + @PROJECT_SOURCE_DIR@/src/MEDCoupling \ + @PROJECT_SOURCE_DIR@/src/MEDLoader \ + @PROJECT_SOURCE_DIR@/src/MEDCouplingCorba FILE_PATTERNS = InterpKernelDEC.* \ OverlapDEC.* \ DEC.* \ DisjointDEC.* \ MPIProcessorGroup.* \ + MPIAccess.* \ StructuredCoincidentDEC.* \ ExplicitCoincidentDEC.* \ NonCoincidentDEC.* \ CommInterface.* \ + ICoCo*.* \ NormalizedGeometricTypes \ NormalizedUnstructuredMesh.* \ Interpolation2D.* \ @@ -142,19 +148,24 @@ FILE_PATTERNS = InterpKernelDEC.* \ MEDCouplingCartesianAMRMesh.* \ MEDCouplingTimeLabel.* \ MEDCouplingRefCountObject.* \ + MEDCouplingAutoRefCountObjectPtr.* \ MEDCouplingMemArray.* \ + MEDCouplingGaussLocalization.* \ MEDCouplingRemapper.* \ MEDLoader.* \ + MEDFileData.* \ + MEDFileParameter.* \ MEDFileMesh.* \ MEDFileField.* \ + *Servant.* \ *.dox RECURSIVE = YES EXCLUDE = CVS EXCLUDE_PATTERNS = *~ -EXAMPLE_PATH = @CMAKE_CURRENT_SOURCE_DIR@/../../src/ParaMEDMEM \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/MEDCoupling/Test \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/MEDCoupling_Swig \ - @CMAKE_CURRENT_SOURCE_DIR@/../../src/MEDLoader/Swig +EXAMPLE_PATH = @PROJECT_SOURCE_DIR@/src/ParaMEDMEM \ + @PROJECT_SOURCE_DIR@/src/MEDCoupling/Test \ + @PROJECT_SOURCE_DIR@/src/MEDCoupling_Swig \ + @PROJECT_SOURCE_DIR@/src/MEDLoader/Swig EXAMPLE_PATTERNS = *.cxx *.py EXAMPLE_RECURSIVE = NO IMAGE_PATH = @CMAKE_CURRENT_SOURCE_DIR@/figures diff --git a/doc/user/doxygen/doxfiles/appendix/appendix.dox b/doc/user/doxygen/doxfiles/appendix/appendix.dox new file mode 100644 index 000000000..b00011ba4 --- /dev/null +++ b/doc/user/doxygen/doxfiles/appendix/appendix.dox @@ -0,0 +1,17 @@ +/*! + +\page appendix Appendix + +Some useful complementary resources: + +- \subpage glossary +- \subpage med-file +- \subpage install +- \subpage references + +Implementation details: + +- \subpage interpkernel +- \ref MPIAccess-det + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/glossary.dox b/doc/user/doxygen/doxfiles/appendix/glossary.dox similarity index 90% rename from doc/doxygen/doxfiles/glossary.dox rename to doc/user/doxygen/doxfiles/appendix/glossary.dox index 465374213..a4b844b25 100644 --- a/doc/doxygen/doxfiles/glossary.dox +++ b/doc/user/doxygen/doxfiles/appendix/glossary.dox @@ -1,11 +1,13 @@ /*! -\page glossary Concepts and definitions +\page glossary Glossary, concepts and definitions - \b Mesh: representation of a domain by a set of \b cells and \b nodes. Cells and nodes are named \b entities. There is no notion of edges or faces. - The \b dimension \b of \b a \b mesh is characterized by two parameters: the size of the space wherein the mesh is immersed, and the (maximum) size of the mesh cells. Examples: 3D surface mesh (3D space, 2D cells), 3D mesh (3D space, 3D cells), curved 2D mesh (2D space, 1D cells)... - \b Field: physical quantity whose value varies in space and time. Represented by a result vector V obtained from one or more tables of values ​​A, at any point of space covered by a mesh and in time defined by its temporal resolution. The size of V is called the number of \b components (equal to the number of components of A). +A P1 field is a field where values are stored at node level, a P0 field is a field where values are stored +at cell level. - \b Intensive \b field: represents intensive physical data (i.e. which do not depend on the amount of material). Examples: density, power density, temperature, pressure. - \b Extensive \b field: represents extensive physical data (i.e. proportional to the size of the physical system represented). @@ -27,5 +29,7 @@ Examples: mass, volume, time, power. - \b Projection: modification (by interpolation) of the entity on which a field is defined. The projection is called \b conservative if the interpolation uses intersection detection. The projection is said \b not \b conservative if the interpolation localizes a cloud of points in a mesh. - The \b Gauss \b integration \b points are the geometrical points where the numerical integration of a given quantity is performed. Precise location of these nodes and a sufficient number (related to the approximation order of the integration term) allow for an exact integration in the case of polynomial functions integration. - \b Kriging: a linear estimation method guaranteeing minimum variance. The estimate at a given point P is obtained locally from the point values ​​on a neighbourhood of P. +- \b Code \b coupling: run of two numerical codes (or two instances of the same code) in such a way that information +is passed from one instance to the other. */ diff --git a/doc/doxygen/doxfiles/install.dox b/doc/user/doxygen/doxfiles/appendix/install.dox similarity index 81% rename from doc/doxygen/doxfiles/install.dox rename to doc/user/doxygen/doxfiles/appendix/install.dox index 9f0c07806..d2374d51e 100644 --- a/doc/doxygen/doxfiles/install.dox +++ b/doc/user/doxygen/doxfiles/appendix/install.dox @@ -1,6 +1,10 @@ /*! -\page paramedmem_install Configuring and Installing MED from sources +\page install Configuring and Installing MED from sources + +The install procedure of the %MED SALOME module can handle a variety of configurations +to suit the needs of its user. Instructions for configuring and +installing the module can be found here. The libraries in SALOME MED can be configured in several manners so that it can run inside or outside the Salome platform. Also, partitioning and parallel functionalities are optional. @@ -23,7 +27,8 @@ cd ${MED_BUILD} cmake -DCMAKE_BUILD_TYPE= -DCMAKE_INSTALL_PREFIX=`pwd`/../MED_INSTALL _DSALOME_MED_STANDALONE=ON ../ \endverbatim -This will configure the library without splitting functionalities. ParaMEDMEM will be compiled if an MPI version has been found. +This will configure the library without splitting functionalities. The +\ref parallel "parallel functionalities" will be compiled if an MPI version has been found. The following options can be useful to configure SALOME MED : - \a -DSALOME_MED_PARTITIONER_METIS=ON enables metis graph library in MEDPartitioner, diff --git a/doc/doxygen/doxfiles/interpolation/interpkernel.dox b/doc/user/doxygen/doxfiles/appendix/interpkernel.dox similarity index 90% rename from doc/doxygen/doxfiles/interpolation/interpkernel.dox rename to doc/user/doxygen/doxfiles/appendix/interpkernel.dox index ce61e679d..aacff18f5 100644 --- a/doc/doxygen/doxfiles/interpolation/interpkernel.dox +++ b/doc/user/doxygen/doxfiles/appendix/interpkernel.dox @@ -1,5 +1,5 @@ /*! -\page interpkernel Interpolation kernel +\page interpkernel Interpolation kernel - Implementation notes \section InterpKerIntro Introduction @@ -13,9 +13,9 @@ the %interpolation kernel. \section InterpKerMainArchitecture Main architecture of interpolation kernel. In the %interpolation kernel, algorithms that computes the intersection \f$ T_i\cap S_j\f$ given the locations and geometries of source cell \f$ S_j \f$ -and target cell \f$ T_i \f$ are called \subpage InterpKerIntersectors. +and target cell \f$ T_i \f$ are called \ref InterpKerIntersectors. -As can be seen in \subpage InterpKerRemapGlobal "the theory of interpolation", all the proposed interpolators aim at +As can be seen in \ref InterpKerRemapGlobal "the theory of interpolation", all the proposed interpolators aim at filling the interpolation matrix W (which is generally sparse). For each pair (i,j), \f$ W_{ij} \f$ is obtained by calling the desired intersector. The problem is that each call to this algorithm is CPU-expensive. @@ -26,9 +26,9 @@ is too far from an another cell in the target mesh each. So for a given type of interpolation, the computation of W is performed in two steps : --# A filtering process reduces the number of pairs of elements for which the calculation must be carried out by - eliminating the pairs whose bounding boxes do not intersect. --# For all remaining pairs calling for each intersector (click here for the available \ref InterpKerIntersectors). +-# A filtering process reduces the number of pairs of elements for which the calculation +must be carried out by eliminating the pairs whose bounding boxes do not intersect. +-# For all remaining pairs, call the appropriate \ref InterpKerIntersectors "cell intersector" Whatever its dimension and type, each interpolator inherits from INTERP_KERNEL::Interpolation which is a template (CRTP) class than enable an easy access to the main API without useless CPU cost. diff --git a/doc/user/doxygen/doxfiles/appendix/med-file.dox b/doc/user/doxygen/doxfiles/appendix/med-file.dox new file mode 100644 index 000000000..684015da8 --- /dev/null +++ b/doc/user/doxygen/doxfiles/appendix/med-file.dox @@ -0,0 +1,33 @@ +/*! + +\page med-file Notes on the MED file format + +\section med-file-intro Introduction + +The MED file format is a specialization of the HDF5 standard, and existed well before +MEDCoupling. Take a look at the +HDF5 Group website for more details on HDF5 itself. +It focuses on (potentially) big amount of data, and the design philosophy was to facilitate a +parallel usage. + +The official documentation of the MED-file format is available on-line (in French) in +your SALOME installation at: + +\code{.sh} +${MEDFILE_ROOT_DIR}/share/doc/html/index.html +\endcode + +Remember that the term "MED-file" denotes both: +- a file format on disk (I/O) +- a comprehensive low level C library to read/write MED files (now with a Python wrapping) +and authored by Eric FAYOLLE (EdF R&D). + +\section med-file-struct What does it look like? + +The picture below shows an UML-like diagram of the MED file format. +We see for example that the mesh name is the unique key linking a \ref fields "field" +to its supporting \ref meshes "mesh". + +\image html med-file-uml.png "Functional diagram of the MED file format" + +*/ diff --git a/doc/user/doxygen/doxfiles/appendix/references.dox b/doc/user/doxygen/doxfiles/appendix/references.dox new file mode 100644 index 000000000..312ec046e --- /dev/null +++ b/doc/user/doxygen/doxfiles/appendix/references.dox @@ -0,0 +1,13 @@ +/*! + +\page references References + +Here follows a list of useful references : + +-# \anchor RefManualMedFile Reference Manual for Med File, V. Lefebvre, E. Fayolle, Projet PAL: Définition du modèle d'échange de données MED V2.2, Note technique EDF/SINETICS, HI-26-03-012/A, https://hammi.extra.cea.fr/static/MED/web_med/index.html +-# VTK home page: \c http://public.kitware.com/VTK +-# Med File Data Model : V. Lefebvre, E. Fayolle, Définition du modèle d'échange de données MED v2.2, https://hammi.extra.cea.fr/static/MED/web_med/pdf/NOTE_HI_26_03_012_A.pdf +-# Jeffrey Grandy, Conservative remapping and region overlays by intersecting arbitrary polyhedra, Journal of Computational Physics, vol 148, 433-466 (1999) +-# F. Preparata and M. Shamos Computational Geometry. Springer-Verlag, New York, 1985 + +*/ \ No newline at end of file diff --git a/doc/user/doxygen/doxfiles/examples/examples.dox b/doc/user/doxygen/doxfiles/examples/examples.dox new file mode 100644 index 000000000..29f9fa9a3 --- /dev/null +++ b/doc/user/doxygen/doxfiles/examples/examples.dox @@ -0,0 +1,11 @@ +/*! + +\page examples Code examples + +Several code examples are provided with the library. +Be sure to take a look at the page \ref python-api before proceeding with the Python examples. + +- \subpage medcouplingpyexamples +- \subpage medcouplingcppexamples + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/examples/medcouplingexamplesarrays.doxy b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesarrays.doxy similarity index 100% rename from doc/doxygen/doxfiles/examples/medcouplingexamplesarrays.doxy rename to doc/user/doxygen/doxfiles/examples/medcouplingexamplesarrays.doxy diff --git a/doc/doxygen/doxfiles/examples/medcouplingexamplesfields.doxy b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesfields.doxy similarity index 98% rename from doc/doxygen/doxfiles/examples/medcouplingexamplesfields.doxy rename to doc/user/doxygen/doxfiles/examples/medcouplingexamplesfields.doxy index f1deed1e7..cf430d383 100644 --- a/doc/doxygen/doxfiles/examples/medcouplingexamplesfields.doxy +++ b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesfields.doxy @@ -166,7 +166,8 @@ So \b f2 contains 3 tuples with 2 components. The underlying mesh of \b f2 contains a newly created mesh with 3 cells (not as \b mesh1 in \b f1) and 9 nodes (as \b mesh1 in \b f1). \n For fields on cells the number of tuples of the returned field is always equal to the number of ids given in input (here \b part1). -\nOnly fields on cells have this particular behaviour. +\n +Only fields on cells have this particular behaviour.

Creation of a sub part of a field on nodes

\snippet MEDCouplingExamplesTest.cxx CppSnippetFieldDoubleBuildSubPart1_3 @@ -179,7 +180,8 @@ Now let's create a subfield on nodes \b f2 from \b f1. After the call of \ref ParaMEDMEM::MEDCouplingFieldDouble::buildSubPart "buildSubPart" on node field \b f1, \b f1 will be reduced on a submesh of \b mesh1 containing cells whose ids are in \b part2. So here the number of cells of \b f2 is 2 and the number of nodes is 4. -\nSo contrary to fields on cells, it is normal for fields on nodes that number of tuples of the returned field of \ref ParaMEDMEM::MEDCouplingFieldDouble::buildSubPart "buildSubPart" +\n +So contrary to fields on cells, it is normal for fields on nodes that number of tuples of the returned field of \ref ParaMEDMEM::MEDCouplingFieldDouble::buildSubPart "buildSubPart" method does not match the size of the input array (here \b part2). @@ -232,7 +234,7 @@ array \b coords2. We create a 2D vector field with 2 tuples and we want to transform this field using an expression using -\ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc(const char *func) "applyFunc()". +\ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc(int, const std::string&) "applyFunc()". The expression \b func is applied to each atomic value of the \b field. We want to change the \b field as follows. (In \b func, we use the variable "v" to refer to an atomic field value). - Component #0 = component #0 (remains the same); hence "IVec * v" in \b func. @@ -272,7 +274,7 @@ the \b field. We create a 2D vector field with 2 values (vectors) and then we transform this field into a 3D vector field by applying an expression to values of the 2D field using -\ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc2(int nbOfComp, const char *func) "applyFunc2()". +\ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc2(int nbOfComp, const std::string&) "applyFunc2()". Note that we set component info the \b array ("a" and "b" ) which will be used to refer to corresponding components within a function. The expression \b func is applied to components of each vector of the \b field. We want @@ -296,7 +298,7 @@ the \b field. We create a 2D vector field with 2 values (vectors) and then we transform this field into a 3D vector field by applying an expression to values of the 2D field using -\ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc(int nbOfComp, const char *func) "applyFunc()". +\ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc(int nbOfComp, const std::string& func) "applyFunc()". The expression \b func is applied to components of each vector of the \b field. We want the \b field to have 3 components computed as follows. (In \b func, we refer to the first component of a field value using the variable "a", and to the second component, using @@ -385,7 +387,7 @@ tuple are computed as we want. First, we create a 2D Cartesian mesh constituted by 2 cells. \snippet MEDCouplingExamplesTest.cxx CppSnippet_MEDCouplingFieldDouble_fillFromAnalytic_1 Now we create a field on cells and use -\ref ParaMEDMEM::MEDCouplingFieldDouble::fillFromAnalytic(int nbOfComp, const char *func) "fillFromAnalytic()" +\ref ParaMEDMEM::MEDCouplingFieldDouble::fillFromAnalytic(int nbOfComp, const std::string& func) "fillFromAnalytic()" to fill it with values computed using an expression \b func. This expression is applied to coordinates of each point (barycenter) for which the field value is computed. We want the \b field to have @@ -526,7 +528,7 @@ med_target_mesh->decrRef(); \subsubsection cpp_mcfield_remapper_middlelevel Using interpolation tools - Middle level usage -- The simplest way to use the interpolator with \ref medcoupling data struture is illustrated in the following example. +- The simplest way to use the interpolator with \ref medcoupling "MEDCoupling data struture" is illustrated in the following example. \code ... diff --git a/doc/doxygen/doxfiles/examples/medcouplingexamplesfooter.doxy b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesfooter.doxy similarity index 100% rename from doc/doxygen/doxfiles/examples/medcouplingexamplesfooter.doxy rename to doc/user/doxygen/doxfiles/examples/medcouplingexamplesfooter.doxy diff --git a/doc/doxygen/doxfiles/examples/medcouplingexamplesheader.doxy b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesheader.doxy similarity index 100% rename from doc/doxygen/doxfiles/examples/medcouplingexamplesheader.doxy rename to doc/user/doxygen/doxfiles/examples/medcouplingexamplesheader.doxy diff --git a/doc/doxygen/doxfiles/examples/medcouplingexamplesmeshes.doxy b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesmeshes.doxy similarity index 100% rename from doc/doxygen/doxfiles/examples/medcouplingexamplesmeshes.doxy rename to doc/user/doxygen/doxfiles/examples/medcouplingexamplesmeshes.doxy diff --git a/doc/doxygen/doxfiles/examples/medcouplingexamplesother.doxy b/doc/user/doxygen/doxfiles/examples/medcouplingexamplesother.doxy similarity index 100% rename from doc/doxygen/doxfiles/examples/medcouplingexamplesother.doxy rename to doc/user/doxygen/doxfiles/examples/medcouplingexamplesother.doxy diff --git a/doc/user/doxygen/doxfiles/faq.dox b/doc/user/doxygen/doxfiles/faq.dox new file mode 100644 index 000000000..0d0937423 --- /dev/null +++ b/doc/user/doxygen/doxfiles/faq.dox @@ -0,0 +1,174 @@ +/*! + +\page faq FAQ - Frequently asked questions + +Many points covered in this FAQ are illustrated via Python scripts. Remember that the +Python API is almost 100% identical to the C++ one, with the \ref python-api "rules listed here". + +\section Questions + +\ref faq-general + -# \ref f-newbie + -# \ref f-mehsf + -# \ref f-constel + -# \ref f-visu + -# \ref f-p0p1 + -# \ref f-number + +\ref faq-python + -# \ref f-hellow + -# \ref f-pyimport + -# \ref f-meshscratch + -# \ref f-fieldscratch + -# \ref f-io + -# \ref f-coher + -# \ref f-groups + -# \ref f-unstruc + +\ref faq-interp + -# \ref f-proj + -# \ref f-proj-formula + +\ref faq-cpp + -# \ref f-cpp-guide + -# \ref f-cpp-segfault + +\section Answers +\subsection faq-general General questions +\subsubsection f-newbie "I am a complete newbie, where should I start?" +Take a look at the \ref start "getting started" section and the \ref tutorial. + +\subsubsection f-mehsf "What is a mesh, what is a field?" +Take a look at \ref terminology + +\subsubsection f-constel "What is a the difference between MED file, MEDCoupling and the SALOME MED module?" +Take a look at \ref library + +\subsubsection f-visu "How can I visualize a mesh and/or a field?" +Use the PARAVIS module of SALOME to visualize your MED file. The following dedicated fitlers have been +written specifically for MED files: Extract group, Extract cell types, ELNO Mesh, ELNO Points, ELNO Surface. + +\subsubsection f-p0p1 "What does a P0- (or P1-) field mean?" +Take a look at \ref terminology + +\subsubsection f-number "What does surjective/old-2-new/new-2-old format mean?" +Take a look at \ref numbering + +\subsection faq-python MEDCoupling scripts in Python +\subsubsection f-hellow "Can you show me a simple example to get me started" +TODO + + +\subsubsection f-pyimport "When trying to execute my Python script I have 'ImportError: No module named MEDCoupling'" +Check that the environment variables PYTHONPATH and LD_LIBRARY_PATH (PATH under Windows) are correctly set. +If you have a full SALOME installation, use the 'shell' command that will automatically set up everything as it +should be: +\code{.sh} +cd +salome shell +\endcode + +With a custom installation you may want to set the variable manually: +\code{.sh} +export PYTHONPATH=/lib/python2.7/site-packages/salome +export LD_LIBRARY_PATH=/lib/salome +\endcode + +\subsubsection f-meshscratch "How to build a mesh from scratch" +Take a look at this example: \ref medcouplingpyexamplesUmeshStdBuild1 + +\subsubsection f-fieldscratch "How to build a field from scratch" +Take a look at this example: \ref medcouplingpyexamplesFieldDoubleBuild1 + +\subsubsection f-io "How to write/read a mesh to/from a file" +For starter, take a look at the \ref MEDLoaderBasicAPIPage "basic MEDLoader API". + +\subsubsection f-coher "How to control the validity of my mesh" +Use the methods \ref ParaMEDMEM::MEDCouplingUMesh::checkCoherency() "MEDCouplingUMesh::checkCoherency()" or +\ref ParaMEDMEM::MEDCouplingUMesh::checkCoherency1() "MEDCouplingUMesh::checkCoherency1()" + +\subsubsection f-groups "How can I read/write groups on a mesh" +Take a look at \ref AdvMEDLoaderAPIMeshReading and \ref AdvMEDLoaderAPIMeshWriting. + +\subsubsection f-unstruc "How can I transform a structured mesh into an unstructured one" +Use the method \ref ParaMEDMEM::MEDCouplingCMesh::buildUnstructured() "MEDCouplingCMesh::buildUnstructured()" + +\subsection faq-interp Projection, interpolation, remapping +\subsubsection f-proj How to project a field from one mesh to the other +This the job of the interpolation algorithms in the MED library. For starters, take a look at the +\ref interpolation "general introduction on interpolation". Also +\ref cpp_mcfield_remapper_highlevel "this simple example" gives a good first illustration. +Finally, if you are intereseted in parallel projection (C++ only!), you should take a +look at the \ref para-dec "DEC". + +\subsubsection f-proj-formula Which formula are used in the field projection algorithms +The documentation for non \ref glossary "P0 field" (i.e. non \ref glossary "cell-based fields") is still an +on-going work, but for the P0->P0 case, \ref InterpKerRemapGlobal "this page" gives a good overview. + +\subsection faq-cpp C++ specific questions +\subsubsection f-cpp-guide Is there some coding guidelines that I should follow +Yes. Please: +- document your code (this is true for Python too!) +- write some tests (this is true for Python too!) +- and finally, take a look at the page \ref cpp + +\subsubsection f-cpp-segfault My C++ program produces a SIGSEGV, what should I do +Re-compile in debug mode (with \c CMAKE_BUILD_TYPE=Debug), and use either valgrind or gdb +to spot the place where the segfault happens. +The most common source of mistake is some memory mis-allocation and/or deallocation. +With this respect using the auto pointer class +\ref ParaMEDMEM::MEDCouplingAutoRefCountObjectPtr "MEDCouplingAutoRefCountObjectPtr" +can be of great help. + +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n + +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n +\n + + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/gui.dox b/doc/user/doxygen/doxfiles/gui.dox similarity index 69% rename from doc/doxygen/doxfiles/gui.dox rename to doc/user/doxygen/doxfiles/gui.dox index d8df24f06..061dd0883 100644 --- a/doc/doxygen/doxfiles/gui.dox +++ b/doc/user/doxygen/doxfiles/gui.dox @@ -1,18 +1,15 @@ /*! -\page gui A graphical interface for standard use cases +\page gui Graphical user interface + +

A graphical interface for standard use cases

The MED module in SALOME comes with a graphical interface that helps -you to deal with most standard use case of fields manipulation. The +you deal with the most standard use cases of field manipulation. The user guide can be found here: - User guide of the MED Graphical Interface -As a complement, a starter guide to MEDCouplig API is available: -- Starter guide to MEDCoupling API for users - - You could also be interested to read the software specifications and requirements for this graphical module, and even the technical considerations for development: diff --git a/doc/user/doxygen/doxfiles/index.dox b/doc/user/doxygen/doxfiles/index.dox new file mode 100644 index 000000000..e737c424e --- /dev/null +++ b/doc/user/doxygen/doxfiles/index.dox @@ -0,0 +1,59 @@ +/*! + +\mainpage Welcome to the SALOME MED module! + +The MED module gathers several powerful functionalities around the input and output data of +simulation codes (meshes and fields mainly). + +\image html projectionHQ_600.png "Example of a field interpolation between two 3D surfacic meshes" + +The most common usage is to write dedicated code (C++ or Python) linking to the library, +however a \ref gui "graphical user interface" is also available. + +- If you don't know where to start, reading the \ref start "getting started" section and then +taking a look at the tutorial is probably a good way to go. +- If you are looking for a very specific point (how can I build a mesh from scratch, + how do I write my data to a file, etc ...), taking a look at the \ref faq "FAQ" or at the numerous + \ref examples "code examples" might help. +- Finally people looking for the reference documentation of a given function (in C++ or Python) should +take a look at the \ref ParaMEDMEM "API documentation". Only the C++ functions are documented, but +the Python API has been designed to be used in a very similar fashion, provided you are aware of the +\ref python-api "conventions used". + +\section contents Contents +This documentation is organized as follows: +- \ref index (this page!) +- \ref faq +- \ref start + - \ref intro-start + - \ref terminology + - \ref library + - \ref functionalities + - \ref python-api +- Tutorial - MEDCoupling/MEDLoader in Python +- \ref gui +- \ref reference + - \ref medcoupling + - \ref medloader + - \ref interpolation + - \ref cpp + - \ref distrib + - \ref misc + \if ENABLE_EXAMPLES +- \ref examples + - \ref medcouplingpyexamples + - \ref medcouplingcppexamples + \endif + +- \ref appendix + - \ref glossary + - \ref med-file + - \ref install + +- \ref ParaMEDMEM "MEDCoupling (and other parallel classes) API documentation" +- \ref MEDLoader "MEDLoader API documentation" + +*/ + + + diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingArray.dox b/doc/user/doxygen/doxfiles/reference/arrays/arrays.dox similarity index 74% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingArray.dox rename to doc/user/doxygen/doxfiles/reference/arrays/arrays.dox index f1ee383fe..24eea3654 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingArray.dox +++ b/doc/user/doxygen/doxfiles/reference/arrays/arrays.dox @@ -1,20 +1,21 @@ /*! -\page MEDCouplingArrayPage MEDCoupling Arrays +\page arrays Arrays of data [TOC] \section MEDCouplingArrayIntro Introduction -One of the most basic concept mainly used all over MEDCoupling is +One of the most basic concept mainly used all over MEDCoupling is the MEDCoupling array. -This concept is used all over -\ref medcoupling "MEDCoupling", \ref paramedmem "ParaMEDMEM", \ref medloader "MEDLoader" modules so it should be correctly -handled to play well with \ref MEDCouplingMeshesPage "Meshes" and \ref MEDCouplingFieldsPage "Fields". +This concept is used all over the +MEDCoupling, \ref parallel "ParaMEDMEM", and \ref medloader "MEDLoader" modules so it should be correctly +understood to efficiently deal with \ref meshes "Meshes" and \ref fields "Fields". -\ref ParaMEDMEM::DataArray "DataArrays" are the atomic element of potentially heavy in memory objects in \ref medcoupling "MEDCoupling", \ref paramedmem "ParaMEDMEM" and \ref medloader "MEDLoader". +\ref ParaMEDMEM::DataArray "DataArrays" are the atomic element of potentially heavy-memory objects in +the 3 modules mentionned above. There are for the moment two types of arrays : - double precision float (64 bits) array incarnated by \ref ParaMEDMEM::DataArrayDouble "DataArrayDouble class". @@ -106,7 +107,7 @@ Here is a description of typical usages of \ref ParaMEDMEM::DataArrayDouble "MED \ref MEDCouplingArraySteps0 "Here is a Python example."
\endif -\section MEDCouplingArrayBasicsCopy Copy DataArrays. +\section MEDCouplingArrayBasicsCopy Copy DataArrays As \ref ParaMEDMEM::DataArray "DataArrays" are the atomic entity of potentially big memory objects into \ref medcoupling "MEDCoupling" , \ref ParaMEDMEM::DataArray "DataArrays" introduces concepts of copy and comparison that will be used by aggregating classes. @@ -133,7 +134,7 @@ simply returns the same object with the reference counter incremented. \ref cpp_mcdataarray_shallowcopy "Here is a C++ example."
\endif -\section MEDCouplingArrayBasicsCompare Compare DataArrays. +\section MEDCouplingArrayBasicsCompare Compare DataArrays Comparison is \ref medcoupling "MEDCoupling" is a concept highly sensitive because big amount of tests uses this to state about the success or the fail of these tests. There are two types of comparison : @@ -160,71 +161,6 @@ fill the array with some values. These methods are: ParaMEDMEM::DataArrayDouble::iota() which assigns incrementing values to all values in array. -\section MEDCouplingArrayRenumbering Array renumbering - -Here is presented all it is necessary to know concerning renumbering. -Renumbering is intensely required in %MEDLoader in %ParaMEDMEM. One of the user of renumbering is MED file for I/O where cells are sorted by type. -But it is also used on operations of node cell merging. It is also used in parallel mode when splitting of mesh is needed... - -Formally a renumbering is a mathematical application that can be surjective, injective or bijective. This application is defined using an instance of -\ref ParaMEDMEM::DataArrayInt "DataArrayInt". There are different ways to define this application. - -\subsection MEDCouplingArrayRenumberingO2N Old to new mode - -The old to new mode is particularly recommended for surjective and bijective application. This is typically the case of \ref ParaMEDMEM::MEDCouplingUMesh::mergeNodes "MEDCouplingUMesh::mergeNodes" method. -Let's consider a call to \ref ParaMEDMEM::MEDCouplingUMesh::mergeNodes "mergeNodes" that reduces the number of nodes from 5 nodes to 3 nodes.\n -In old to new mode the array \b MySurjection that specifies this surjection will have 5 tuples and 1 component. The content of the 5*1 values will be in {0,1,2}.\n - -If \b MySujection equals [2,1,0,1,2], it means that : - -- old id #0 will have new id equal to 2 -- old id #1 will have new id equal to 1 -- old id #2 will have new id equal to 0 -- old id #3 will have new id equal to 1 like old id #1 -- old id #4 will have new id equal to 2 like old id #0 - -This is the most common mode of renumbering in MEDCoupling because there is more methods implying renumbering that reduce the number of entities than method that increase number of entities. - -Method in old to new mode that works on bijective applications : - -- \ref ParaMEDMEM::DataArrayDouble::renumber "DataArrayDouble::renumber" -- \ref ParaMEDMEM::DataArrayDouble::renumberInPlace "DataArrayDouble::renumberInPlace" - -Method in old to new mode that works on surjective applications : - -- \ref ParaMEDMEM::DataArrayDouble::renumberAndReduce "DataArrayDouble::renumberAndReduce" - -Sometimes the format old to new for surjections can be replaced by another format with 2 arrays. Less compact in memory. The \ref ParaMEDMEM::DataArrayInt::changeSurjectiveFormat "DataArrayInt::changeSurjectiveFormat" method performs that. - -\subsection MEDCouplingArrayRenumberingN2O New to old mode - -The new to old mode is particularly recommended for strictly injective and bijective permutations. This is particularly useful for methods that increase the number of entities like for example -\ref ParaMEDMEM::MEDCouplingUMesh::simplexize "MEDCouplingUMesh::simplexize".\n -All non static methods in \ref ParaMEDMEM::DataArrayDouble "DataArrayDouble" or \ref ParaMEDMEM::DataArrayInt "DataArrayInt" having as last letter \b R (meaning Reversed) in capital works with -the mode new to old. -Let's consider a call to \ref ParaMEDMEM::MEDCouplingUMesh::simplexize "simplexize" that increases the number of cell from 4 cells to 6 cells.\n -In new to old mode the array \b MyInjection that specifies this injection will have 6 tuples and 1 component. The content of the 5*1 values will be in {0,1,2,3}.\n -If \b MyInjection equals [2,0,1,1,3,0] it means that : - -- new id #0 comes from old id 2 -- new id #1 comes from old id 0 -- new id #2 comes from old id 1 -- new id #3 comes from old id 1 -- new id #4 comes from old id 3 -- new id #5 comes from old id 0 - -Method in new to old mode that works on bijective applications : - -- \ref ParaMEDMEM::DataArrayDouble::renumberR "DataArrayDouble::renumberR" -- \ref ParaMEDMEM::DataArrayDouble::renumberInPlace "DataArrayDouble::renumberInPlaceR" - -Method in new to old mode that works on surjective applications : - -- \ref ParaMEDMEM::DataArrayDouble::selectByTupleId "DataArrayDouble::selectByTupleId" -- \ref ParaMEDMEM::DataArrayDouble::selectByTupleIdSafe "DataArrayDouble::selectByTupleIdSafe" -- \ref ParaMEDMEM::DataArrayDouble::selectByTupleId2 "DataArrayDouble::selectByTupleId2" -- \ref ParaMEDMEM::DataArrayDouble::selectByTupleRanges "DataArrayDouble::selectByTupleRanges" - \section MEDCouplingArrayApplyFunc Application of a function on DataArrayDouble instances. This section is only dedicated for \ref ParaMEDMEM::DataArrayDouble "DataArrayDouble instances". @@ -266,11 +202,11 @@ The principle of the dynamic expression evaluator is the following : \subsection MEDCouplingArrayApplyFunc0 applyFunc method with only one parameter This method produces a newly allocated DataArrayDouble instance having exactly the same number of components **and** number of tuples than the instance on which the -\ref ParaMEDMEM::DataArrayDouble::applyFunc(const char *) const applyFunc method is applied. +\ref ParaMEDMEM::DataArrayDouble::applyFunc(const std::string &, bool) const applyFunc method is applied. **This method is useful when the evaluation expression do not need to consider the components of each tuple separately**. -That's why this method of \ref ParaMEDMEM::DataArrayDouble::applyFunc(const char *) const applyFunc method with one parameter accepts at most only one variable. +That's why this method of \ref ParaMEDMEM::DataArrayDouble::applyFunc(const std::string &, bool) const applyFunc method with one parameter accepts at most only one variable. If it is not the case an exception is thrown as seen here : @@ -285,7 +221,7 @@ So \c smth represent a tuple of size 2. As the example shows, the output \c d1 has 2 components as \c d. -Whereas all the components of the input of \c d be not considered separately, it is also, possible with \ref ParaMEDMEM::DataArrayDouble::applyFunc(const char *) const applyFunc method with one parameter +Whereas all the components of the input of \c d be not considered separately, it is also, possible with \ref ParaMEDMEM::DataArrayDouble::applyFunc(const std::string &, bool) const applyFunc method with one parameter to build an output having same number of components than input but where components in input are treated separately. Let's build an example using DataArrayDouble instance \c d defined just above. @@ -296,13 +232,13 @@ In this example using IVec and JVec it is possible to differentiate output in co \subsection MEDCouplingArrayApplyFunc1 applyFunc method with only two parameters -This method also returns a newly allocated DataArrayDouble instance having the same number of tuples than the DataArrayDouble instance on which \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const char *) const applyFunc method is called, but the contrary to previous \ref MEDCouplingArrayApplyFunc0 "applyFunc with one parameter version" here the number of components is set by the user. +This method also returns a newly allocated DataArrayDouble instance having the same number of tuples than the DataArrayDouble instance on which \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const std::string &, bool) const applyFunc method is called, but the contrary to previous \ref MEDCouplingArrayApplyFunc0 "applyFunc with one parameter version" here the number of components is set by the user. The big difference with \ref MEDCouplingArrayApplyFunc0 "applyFunc method with one parameter" seen above is that here components of tuples are treated separately. -The method that implements it is \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const char *) const here. +The method that implements it is \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const std::string &, bool) const here. -Here the number of variables appearing in the expression should be equal at most to the number of component of the DataArrayDouble instance on which \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const char *) const applyFunc method is called. +Here the number of variables appearing in the expression should be equal at most to the number of component of the DataArrayDouble instance on which \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const std::string &, bool) const applyFunc method is called. Let's consider the following DataArrayDouble having 4 tuples with 3 components called dd. @@ -321,11 +257,12 @@ the component id. The strategy of expression evaluator is the following. Sort as Considering the previous warning, let's try to perform an application of function to compute in a DataArrayDouble instance called \c dd2 starting by adding component #0 and component #2 of \c dd. -\nThe expression \c "a+c" will add component #0 to component #1 as seen in warning section !!!! It can appear silly, but this strategy has been chosen in order to support different set of variables. +\n +The expression \c "a+c" will add component #0 to component #1 as seen in warning section !!!! It can appear silly, but this strategy has been chosen in order to support different set of variables. \n \ref ParaMEDMEM::DataArrayDouble::applyFunc2 "applyFunc2" and \ref ParaMEDMEM::DataArrayDouble::applyFunc3 "applyFunc3" methods have been developed to remedy to that feature that can be surprising. \n These two methods are explained respectively \ref MEDCouplingArrayApplyFunc2 "here for applyFunc2" and \ref MEDCouplingArrayApplyFunc3 "here for applyFunc3". -Whatever it is possible to find a workaround using \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const char *) const applyFunc with 2 parameters. +Whatever it is possible to find a workaround using \ref ParaMEDMEM::DataArrayDouble::applyFunc(int,const std::string &, bool) const applyFunc with 2 parameters. \n Here is a solution to compute \c dd2 : \snippet MEDCouplingExamplesTest.py PySnippetDataArrayApplyFunc1_6 diff --git a/doc/user/doxygen/doxfiles/reference/arrays/numbering.dox b/doc/user/doxygen/doxfiles/reference/arrays/numbering.dox new file mode 100644 index 000000000..0bb506765 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/arrays/numbering.dox @@ -0,0 +1,113 @@ +/*! +\page numbering Array indexing and numbering + +The MED library make constant use of arrays of integer or double to represent the various +data it needs. The arrays of integer (\ref ParaMEDMEM::DataArrayInt "DataArrayInt") are of special importance as they +often constitutes the return value of the functions provided by the API. This can be +a list of nodes, a list of cells, a way to rearrange the cell in a mesh (a permutation), a part of the +domain when doing parallel computation, etc ... + +This page tries to cover all the form such a data can take and points to the most important +functions available to convert from one format to the other. + +Formally a "renumbering" is a mathematical application that can be surjective, injective or bijective. +This application is defined using an instance of +\ref ParaMEDMEM::DataArrayInt "DataArrayInt". There are different ways to define this application. + +\section MEDCouplingArrayRenumberingO2N Old-to-new mode + +The old to new mode is particularly recommanded for surjective and bijective applications. This +is typically the case of \ref ParaMEDMEM::MEDCouplingUMesh::mergeNodes "MEDCouplingUMesh::mergeNodes" method. +Let's consider a call to \ref ParaMEDMEM::MEDCouplingUMesh::mergeNodes "mergeNodes" that reduces the +number of nodes from 5 nodes to 3 nodes.\n +In old to new mode the array \b MySurjection that specifies this surjection will have 5 tuples +and 1 component. The content of the 5*1 values will be in {0,1,2}.\n + +If \b MySujection equals [2,1,0,1,2], it means that : + +- old id #0 will have new id equal to 2 +- old id #1 will have new id equal to 1 +- old id #2 will have new id equal to 0 +- old id #3 will have new id equal to 1 like old id #1 +- old id #4 will have new id equal to 2 like old id #0 + +This is the most common mode of renumbering in MEDCoupling because there is more methods +implying renumbering that reduce the number of entities than method that increase number of entities. + +Method in old to new mode that works on bijective applications : + +- \ref ParaMEDMEM::DataArrayDouble::renumber "DataArrayDouble::renumber" +- \ref ParaMEDMEM::DataArrayDouble::renumberInPlace "DataArrayDouble::renumberInPlace" + +Method in old to new mode that works on surjective applications : + +- \ref ParaMEDMEM::DataArrayDouble::renumberAndReduce "DataArrayDouble::renumberAndReduce" + +Sometimes the format old to new for surjections can be replaced by another format with 2 arrays. +Less compact in memory. The \ref ParaMEDMEM::DataArrayInt::changeSurjectiveFormat "DataArrayInt::changeSurjectiveFormat" method performs that. + +\section MEDCouplingArrayRenumberingN2O New-to-old mode + +The new-to-old mode is particularly recommended for strictly injective and bijective permutations. +This is particularly useful for methods that increase the number of entities like for example +\ref ParaMEDMEM::MEDCouplingUMesh::simplexize "MEDCouplingUMesh::simplexize".\n +All non static methods in \ref ParaMEDMEM::DataArrayDouble "DataArrayDouble" +or \ref ParaMEDMEM::DataArrayInt "DataArrayInt" having as last letter \b R (meaning Reversed) in +capital works with the mode new to old. +Let's consider a call to \ref ParaMEDMEM::MEDCouplingUMesh::simplexize "simplexize" that increases +the number of cell from 4 cells to 6 cells.\n +In new-to-old mode the array \b MyInjection that specifies this injection will have 6 tuples +and 1 component. The content of the 5*1 values will be in {0,1,2,3}.\n +If \b MyInjection equals [2,0,1,1,3,0] it means that : + +- new id #0 comes from old id 2 +- new id #1 comes from old id 0 +- new id #2 comes from old id 1 +- new id #3 comes from old id 1 +- new id #4 comes from old id 3 +- new id #5 comes from old id 0 + +Method in new-to-old mode that works on bijective applications : + +- \ref ParaMEDMEM::DataArrayDouble::renumberR "DataArrayDouble::renumberR" +- \ref ParaMEDMEM::DataArrayDouble::renumberInPlace "DataArrayDouble::renumberInPlaceR" + +Method in new-to-old mode that works on surjective applications : + +- \ref ParaMEDMEM::DataArrayDouble::selectByTupleId "DataArrayDouble::selectByTupleId" +- \ref ParaMEDMEM::DataArrayDouble::selectByTupleIdSafe "DataArrayDouble::selectByTupleIdSafe" +- \ref ParaMEDMEM::DataArrayDouble::selectByTupleId2 "DataArrayDouble::selectByTupleId2" +- \ref ParaMEDMEM::DataArrayDouble::selectByTupleRanges "DataArrayDouble::selectByTupleRanges" + +\section numbering-indirect Indirect indexing + +The indirect indexing format is made of two \ref arrays "arrays of int (DataArrayInt)" and +is used to describe a set of groups (a group being here understood as a simple pack of int identifiers). +Each group of identifier can for example represent a set of coincident nodes, or a set of nodes belonging +to the same cell, etc ... + +\image html IndirectIndex.jpg "Indirect indexing principle" + +Denoting \c tab and \c tabI the two arrays of the indirect indexing format, +we see at the top in the picture above the \c tab array, which contains n packs of identifiers +(first pack is 3,1,4,6, second pack is 4,3,2,6,5, etc ...), and below the array \c tabI +which provides the necessary offsets to extract a given pack from \c tab. + +This format is widely used internally (this is how the connectivity of +\ref MEDCouplingUMeshPage "unstructured cells" is stored for example), and is also returned by +many functions, e.g.: +- \ref ParaMEDMEM::MEDCouplingPointSet::findCommonCells "MEDCouplingPointSet::findCommonCells" +- \ref ParaMEDMEM::MEDCouplingPointSet::findCommonNodes "MEDCouplingPointSet::findCommonNodes" +- \ref ParaMEDMEM::MEDCouplingPointSet::getNodeIdsNearPoints "MEDCouplingPointSet::getNodeIdsNearPoints" +- \ref ParaMEDMEM::MEDCouplingUMesh::buildDescendingConnectivity "MEDCouplingUMesh::buildDescendingConnectivity" +- \ref ParaMEDMEM::MEDCouplingUMesh::computeNeighborsOfNodes "MEDCouplingUMesh::computeNeighborsOfNodes" +- \ref ParaMEDMEM::MEDCouplingUMesh::convertNodalConnectivityToDynamicGeoTypeMesh "MEDCouplingUMesh::convertNodalConnectivityToDynamicGeoTypeMesh" +- \ref ParaMEDMEM::MEDCouplingUMesh::setConnectivity "MEDCouplingUMesh::setConnectivity" +- \ref ParaMEDMEM::MEDCouplingUMesh::split2DCells "MEDCouplingUMesh::split2DCells" + +Some functions in the API to manipulate this format: +- \ref ParaMEDMEM::DataArrayInt::changeSurjectiveFormat "DataArrayInt::changeSurjectiveFormat" +- \ref ParaMEDMEM::MEDCouplingUMesh::ExtractFromIndexedArrays "(static) MEDCouplingUMesh::ExtractFromIndexedArrays" +- \ref ParaMEDMEM::MEDCouplingUMesh::ExtractFromIndexedArrays2 "(static) MEDCouplingUMesh::ExtractFromIndexedArrays2" + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingTimeLabel.dox b/doc/user/doxygen/doxfiles/reference/cpp/MEDCouplingTimeLabel.dox similarity index 82% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingTimeLabel.dox rename to doc/user/doxygen/doxfiles/reference/cpp/MEDCouplingTimeLabel.dox index 7d5b925c4..4b6ec8c84 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingTimeLabel.dox +++ b/doc/user/doxygen/doxfiles/reference/cpp/MEDCouplingTimeLabel.dox @@ -2,7 +2,7 @@ /*! \page MEDCouplingTimeLabelPage Time label in MEDCoupling -Time label is a **non instantiable** class whose each object consuming potentially big amount of memory inherit from. +Time label is a **non instantiable** class whose each object consuming potentially big amount of memory inherits from. The class that incarnates this concept is ParaMEDMEM::TimeLabel. Here are some of examples of classes that inherit from \ref ParaMEDMEM::TimeLabel "TimeLabel" class : @@ -12,7 +12,7 @@ Here are some of examples of classes that inherit from \ref ParaMEDMEM::TimeLabe - ParaMEDMEM::MEDCouplingFieldDouble - ... -This class is in charge of storing a 32 bits unsigned integer called time label, that allows the user to know easily, if an heavy object in memory has been modified or not. +This class is in charge of storing a 32 bits unsigned integer called the time label, that allows the user to know easily, if an heavy object in memory has been modified or not. The usage is simple : @@ -20,6 +20,6 @@ The usage is simple : - When you need to know if the instance inheriting from ParaMEDMEM::TimeLabel has changed or not simply invoke ParaMEDMEM::TimeLabel::getTimeOfThis again and compare with the stored value. If the value is different, the instance has changed, if not the instance has **not** changed. -The virtual call to ParaMEDMEM::TimeLabel::updateTime changes the behaviour of ParaMEDMEM::TimeLabel::getTimeOfThis ; it is a bug, so please notify the bug into the salome forum. +The virtual call to ParaMEDMEM::TimeLabel::updateTime changes the behaviour of ParaMEDMEM::TimeLabel::getTimeOfThis ; it is a bug, so please notify the bug on the SALOME forum. */ diff --git a/doc/user/doxygen/doxfiles/reference/cpp/cpp.dox b/doc/user/doxygen/doxfiles/reference/cpp/cpp.dox new file mode 100644 index 000000000..2b553bce5 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/cpp/cpp.dox @@ -0,0 +1,25 @@ +/*! + \page cpp Note for C++ developpers + +Using the C++ API provided by MED requires you to be familiar with some specificities which are not +visible to the Python user. + +- \ref ParaMEDMEM::MEDCouplingAutoRefCountObjectPtr "MEDCouplingAutoRefCountObjectPtr" +- \subpage MEDCouplingTimeLabelPage + +\b Note: all the standard (sequential) MEDCoupling API lies in the \ref ParaMEDMEM "ParaMEDMEM namespace". +This is quite unfortunate but due to historical reasons. The true parallel functionalities +of the \ref library "MED library" are detailed here: \ref parallel + +The memory management of the various strucutres is eased by the class +\ref ParaMEDMEM::MEDCouplingAutoRefCountObjectPtr "MEDCouplingAutoRefCountObjectPtr". It acts as an auto pointer and takes care of deleting the +memory automatically when going out of scope. See an example usage in \ref cpp_mcfielddouble_WriteVTK . +Beware however that not all functions return a pointer that should be deleted when going out of scope. +Some methods only return an observer to the data, see for example \ref ParaMEDMEM::MEDCouplingPointSet::getCoords() "getCoords()". The API documentation of each method indicates whether the caller is responsible of the returned +data or not. + +For advanced usage, one has to be aware of the stamping mechanism used internally to know +whether an instance has been modified or not. This is described in the second page above: + \ref MEDCouplingTimeLabelPage + + */ diff --git a/doc/user/doxygen/doxfiles/reference/distrib/corba-distrib.dox b/doc/user/doxygen/doxfiles/reference/distrib/corba-distrib.dox new file mode 100644 index 000000000..59ed64c2e --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/distrib/corba-distrib.dox @@ -0,0 +1,16 @@ +/*! +\page corba-distrib Distribution in MEDCoupling using CORBA + +The following classes allow to publish \ref medcoupling "MEDCoupling objects" on the CORBA bus. They are +directly related to the equivalent class in MEDCoupling, without the string \c Servant at the end of the +name: + +- \ref ParaMEDMEM::DataArrayDoubleServant "DataArrayDoubleServant" +- \ref ParaMEDMEM::DataArrayIntServant "DataArrayIntServant" +- \ref ParaMEDMEM::MEDCouplingUMeshServant "MEDCouplingUMeshServant" +- \ref ParaMEDMEM::MEDCouplingCMeshServant "MEDCouplingCMeshServant" +- \ref ParaMEDMEM::MEDCouplingFieldDoubleServant "MEDCouplingFieldDoubleServant" + + TODO: complete the list. + +*/ \ No newline at end of file diff --git a/doc/user/doxygen/doxfiles/reference/distrib/distrib.dox b/doc/user/doxygen/doxfiles/reference/distrib/distrib.dox new file mode 100644 index 000000000..7f9f37d8d --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/distrib/distrib.dox @@ -0,0 +1,10 @@ +/*! +\page distrib Distribution and parallelism in MEDCoupling + +The MEDCoupling library features several functionalities to allow its efficient usage +in a parallel and/or distributed setup: +- \subpage parallel +- \subpage corba-distrib + + +*/ diff --git a/doc/user/doxygen/doxfiles/reference/distrib/parallel.dox b/doc/user/doxygen/doxfiles/reference/distrib/parallel.dox new file mode 100644 index 000000000..d53c9965f --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/distrib/parallel.dox @@ -0,0 +1,33 @@ +/*! +\page parallel Parallelism + +\section para-over Base elements + +Several classes and methods are available in the MED library to ease the exchange of information +in a parallel context. +For historical reasons, they are all in the same namespace as the non-parallel MEDCoupling functionalities, +%ParaMEDMEM. + +The core elements of the API are: +- \ref ParaFIELD-det "ParaFIELD", the parallel instanciation of a MEDCoupling field +- \ref CommInterface-det "CommInterface", communication interface to the gateway to the MPI library +- \ref MPIProcessorGroup-det "MPIProcessorGroup", a group of processor in a parallel computation + +along with all the DEC explained below. + +\section para-dec Data Exchange Channel - DEC + +A Data Exchange Channel allows the transfer of information between two processor groups. +There are several variants of DEC depending on what you are aiming at: + +- \ref DisjointDEC-det "DisjointDEC" +- \ref InterpKernelDEC-det "InterpKernelDEC" +- \ref NonCoincidentDEC-det "NonCoincidentDEC" +- \ref OverlapDEC-det "OverlapDEC" +- \ref ExplicitCoincidentDEC-det "ExplicitCoincidentDEC" +- \ref StructuredCoincidentDEC-det "StructuredCoincidentDEC" + + TODO: more on DEC. + + +*/ diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingFields.dox b/doc/user/doxygen/doxfiles/reference/fields/MEDCouplingFields.dox similarity index 74% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingFields.dox rename to doc/user/doxygen/doxfiles/reference/fields/MEDCouplingFields.dox index 44c966cd2..48860dc41 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingFields.dox +++ b/doc/user/doxygen/doxfiles/reference/fields/MEDCouplingFields.dox @@ -1,6 +1,5 @@ - /*! -\page MEDCouplingFieldsPage Fields in MEDCoupling +\page MEDCouplingFieldsPage Fields [TOC] @@ -10,7 +9,7 @@ A field in MEDCoupling point of view, is a structure that allows to store a discretization of a physical value on a defined discretized spatial and possibly temporal support. -The spatial support is a \ref MEDCouplingMeshesPage "mesh". +The spatial support is a \ref meshes "mesh". A field is lying on an entity that will be specified by the spatial discretization of the field. For example a field on node will lie on all nodes of its mesh. @@ -19,13 +18,13 @@ A field on cell will lie on all cells of its mesh. Fields in MEDCoupling follow the two following rules : -- A field will lie on \b ALL entities of its spatial support (\ref MEDCouplingMeshesPage "mesh"). -- A field has \b only \b one spatial support (\ref MEDCouplingMeshesPage "mesh") on its temporal support. +- A field will lie on \b ALL entities of its spatial support (\ref meshes "mesh"). +- A field has \b only \b one spatial support (\ref meshes "mesh") on its temporal support. The main properties of a field are : - name -- spatial support which is a \ref MEDCouplingMeshesPage "mesh" +- spatial support which is a \ref meshes "mesh" - a \ref MEDCouplingSpatialDisc "spatial discretization" - a description of intrinsic nature of the values of field (see \ref NatureOfField). This is important for conservative interpolation (see \ref TableNatureOfField). - a temporal discretization that specifies, if it exists, the time interval on which the field is covering, and how. @@ -41,13 +40,13 @@ Some of most important implemented methods are : - \ref ParaMEDMEM::MEDCouplingFieldDouble::getNumberOfComponents "getNumberOfComponents" - \ref ParaMEDMEM::MEDCouplingFieldDouble::getValueOn "getValueOn" - \ref ParaMEDMEM::MEDCouplingFieldDouble::applyFunc "applyFunc" -- \ref ParaMEDMEM::MEDCouplingFieldDouble::addFields "cross instances operations" +- \ref ParaMEDMEM::MEDCouplingFieldDouble::AddFields "cross instances operations" \section MEDCouplingSpatialDisc Spatial discretization concept This is the concept that makes the link, independently from temporal -discretization, between the field and its spatial support (\ref MEDCouplingMeshesPage "mesh"). This +discretization, between the field and its spatial support (\ref meshes "mesh"). This concept allows the field to make a check and interpretation of an -array of values given a spatial support (\ref MEDCouplingMeshesPage "mesh"). +array of values given a spatial support (\ref meshes "mesh"). The abstract class that incarnates the concept is : \ref ParaMEDMEM::MEDCouplingFieldDiscretization. @@ -83,36 +82,36 @@ Here we will make the assumption that an instance of \c MEDCouplingMesh called \ \subsection MEDCouplingFirstSteps3OnCellsNoTS Create a tensor field with 9 components on cells with no time step -\subpage medcouplingcppexamplesFieldDoubleBuild1 "Here the C++ implementation." +\ref medcouplingcppexamplesFieldDoubleBuild1 "Here the C++ implementation." -\subpage medcouplingpyexamplesFieldDoubleBuild1 "Here the Python implementation." +\ref medcouplingpyexamplesFieldDoubleBuild1 "Here the Python implementation." \subsection MEDCouplingFirstSteps3OnNodesNoTS Create a scalar field on nodes with no time step -\subpage medcouplingcppexamplesFieldDoubleBuild2 "Here the C++ implementation." +\ref medcouplingcppexamplesFieldDoubleBuild2 "Here the C++ implementation." -\subpage medcouplingpyexamplesFieldDoubleBuild2 "Here the Python implementation." +\ref medcouplingpyexamplesFieldDoubleBuild2 "Here the Python implementation." \subsection MEDCouplingFirstSteps3OnCellsWTS Create a 2 components-vector field on cells with one time step and no interval -\subpage medcouplingcppexamplesFieldDoubleBuild3 "Here the C++ implementation." +\ref medcouplingcppexamplesFieldDoubleBuild3 "Here the C++ implementation." -\subpage medcouplingpyexamplesFieldDoubleBuild3 "Here the Python implementation." +\ref medcouplingpyexamplesFieldDoubleBuild3 "Here the Python implementation." \subsection MEDCouplingFirstSteps3OnCellsCTI Create a 3 components-vector field on nodes with a time interval where field remains constant on this time interval -\subpage medcouplingcppexamplesFieldDoubleBuild4 "Here the C++ implementation." +\ref medcouplingcppexamplesFieldDoubleBuild4 "Here the C++ implementation." -\subpage medcouplingpyexamplesFieldDoubleBuild4 "Here the Python implementation." +\ref medcouplingpyexamplesFieldDoubleBuild4 "Here the Python implementation." \section MEDCouplingSecondStep0 Operations on Fields Here we will make the assumption that an instance of \ref ParaMEDMEM::MEDCouplingMesh "MEDCouplingMesh" called \c mesh has been created with spaceDim==2. -\subpage medcouplingcppexamplesFieldDoubleBuild5 "Here a C++ example of more advanced use of MEDCouplingFieldDouble instances". +\ref medcouplingcppexamplesFieldDoubleBuild5 "Here a C++ example of more advanced use of MEDCouplingFieldDouble instances". -\subpage medcouplingpyexamplesFieldDoubleBuild5 "Here a Python example of more advanced use of MEDCouplingFieldDouble instances". +\ref medcouplingpyexamplesFieldDoubleBuild5 "Here a Python example of more advanced use of MEDCouplingFieldDouble instances". */ diff --git a/doc/user/doxygen/doxfiles/reference/fields/discretization.dox b/doc/user/doxygen/doxfiles/reference/fields/discretization.dox new file mode 100644 index 000000000..907890bae --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/fields/discretization.dox @@ -0,0 +1,21 @@ +/*! +\page discretization Spatial and temporal discretizations + +TODO: enhance this page + +\section field-space Spatial discretization +A field can be supported by: +- the nodes (vertices) of the mesh: built with the +\ref ParaMEDMEM::MEDCouplingFieldDouble::New "ON_NODES" keyword. This is sometimes called a P1 field. +- the cells (or "elements") of the mesh: built with the +\ref ParaMEDMEM::MEDCouplingFieldDouble::New "ON_CELLS" keyword. This is sometimes called a P0 field. +- or more complex items (Gauss points, etc ...) + +\section field-time Temporal discretization + +A field has a temporal discretization. It can be one of: +- \ref ParaMEDMEM::MEDCouplingFieldDouble::New "NO_TIME" +- \ref ParaMEDMEM::MEDCouplingFieldDouble::New "ONE_TIME" +- \ref ParaMEDMEM::MEDCouplingFieldDouble::New "CONST_ON_TIME_INTERVAL" + +*/ diff --git a/doc/user/doxygen/doxfiles/reference/fields/fields.dox b/doc/user/doxygen/doxfiles/reference/fields/fields.dox new file mode 100644 index 000000000..28ff75f49 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/fields/fields.dox @@ -0,0 +1,21 @@ +/*! + +\page fields Fields + +A field in MEDCoupli,g represents some physical quantity associated with the spatial domain. +This is not a continuous description of the physical quantity over the domain, and hence a field has +a finite set of values, associated to some constituents of the mesh (nodes, cells, or more complicated). + +At a low level, a field is a \ref arrays DataArray associated to a given mesh. A field can have more than one +component (vector or tensor field), for example the 3 components v_x, v_y, vz of a velocity field. + +- \subpage discretization +- \subpage MEDCouplingFieldsPage + +Finally, and for interpolation purposes only, one needs to define the nature of a field (is it an extensive +field, like mass, or an intensive field, like temperature, etc ...). This is covered thoroughly in the +interpolation pages: + +- \ref NatureOfField + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/interpolation/Geometric2D.dox b/doc/user/doxygen/doxfiles/reference/interpolation/Geometric2D.dox similarity index 95% rename from doc/doxygen/doxfiles/interpolation/Geometric2D.dox rename to doc/user/doxygen/doxfiles/reference/interpolation/Geometric2D.dox index e97cf0e83..eb0e25daf 100644 --- a/doc/doxygen/doxfiles/interpolation/Geometric2D.dox +++ b/doc/user/doxygen/doxfiles/reference/interpolation/Geometric2D.dox @@ -18,7 +18,7 @@ representation of a polygon is its edges composing it. \subsection interpkernelGeo2DNamingConv Naming conventions - - An \ref INTERP_KERNEL::AbstractEdge "edge" is defined by a start + - An \ref INTERP_KERNEL::Edge "edge" is defined by a start node, a end node and a curve equation (linear or arc of circle). \b WARNING : start node and end node \b HAVE \b TO \b BE different and distant at least equal to precision set. @@ -39,8 +39,8 @@ specialization of a closed. Closed means that the start node of first edge is equal to end node of last edge.\n A \ref INTERP_KERNEL::ComposedEdge "composed edge" is considered as a -collection of \ref INTERP_KERNEL::AbstractEdge "abstract edges". An -\ref INTERP_KERNEL::AbstractEdge "abstract edge" is either an \ref +collection of \ref INTERP_KERNEL::Edge "abstract edges". An +\ref INTERP_KERNEL::Edge "abstract edge" is either an \ref INTERP_KERNEL::ElementaryEdge "elementary edge" or itself a \ref INTERP_KERNEL::ComposedEdge "composed edge".\n A composite pattern has been used here. @@ -117,9 +117,9 @@ repeated until all edges with correct loc have been consumed. The method in charge of that is INTERP_KERNEL::QuadraticPolygon::buildIntersectionPolygons. -\section interpkernelGeo2DAlg underneath algorithms. +\section interpkernelGeo2DAlg Underlying algorithms -\subsection interpkernelGeo2DAlgLoc Absolute localization algorithm. +\subsection interpkernelGeo2DAlgLoc Absolute localization algorithm This algorithm is called when splitting process has been done, and that we are sure that the edge is either \b fully \b in ,or \b fully \b on or \b fully @@ -141,7 +141,7 @@ This computation is \b very \b expensive, that why some tricks as described in \ref interpkernelGeo2DBoolOpStep2 "localization techniques" are used to call as few as possible during intersecting process. -\subsection interpkernelGeo2DAlgIntsect Intersection algorithms. +\subsection interpkernelGeo2DAlgIntsect Intersection algorithms The only mathematical intersections performed are edges intersections. The algorithms used are : @@ -150,7 +150,7 @@ The algorithms used are : -# Lin-Arc intersection : http://mathworld.wolfram.com/Circle-LineIntersection.html -# Arc-Arc intersection : http://mathworld.wolfram.com/Circle-CircleIntersection.html -\subsection interpkernelGeo2DAlgOthers Other algorithms. +\subsection interpkernelGeo2DAlgOthers Other algorithms As internal architecture is quite general, it is possible to have more than classical intersection on any polygons : @@ -158,7 +158,7 @@ As internal architecture is quite general, it is possible to have more than clas - \ref INTERP_KERNEL::QuadraticPolygon::getPerimeterFast "perimeter" computation. - \ref INTERP_KERNEL::QuadraticPolygon::getHydraulicDiameter "Hydraulic diameter" computation. -\section interpkernelGeo2DUsage Usage. +\section interpkernelGeo2DUsage Usage This intersector is usable standalone. To use a set of user friendly methods have been implemented. @@ -200,7 +200,7 @@ delete polygon2; ... \endcode -\section interpkernelGeo2DExample Example of result. +\section interpkernelGeo2DExample Example of result Here an example of 2 polygons. The left one \a P1 has 4 edges and the right one \a P2 has 4 edges too. diff --git a/doc/doxygen/doxfiles/medcoupling/NatureOfField.dox b/doc/user/doxygen/doxfiles/reference/interpolation/NatureOfField.dox similarity index 87% rename from doc/doxygen/doxfiles/medcoupling/NatureOfField.dox rename to doc/user/doxygen/doxfiles/reference/interpolation/NatureOfField.dox index 6dc178cd6..b005a9cc5 100644 --- a/doc/doxygen/doxfiles/medcoupling/NatureOfField.dox +++ b/doc/user/doxygen/doxfiles/reference/interpolation/NatureOfField.dox @@ -1,8 +1,8 @@ /*! - \defgroup NatureOfField Nature of a field +\page NatureOfField Nature of a field - \section IntExtFields Overview: intensive and extensive field +\section IntExtFields Overview: intensive and extensive field \c NatureOfField is an enum which helps in determining some physical significance of the field and affects the choice of the interpolation formula (see \ref TableNatureOfField). It has five possible values: @@ -26,13 +26,15 @@ Typically the field value scales linearly with respect to the underlying geometr For fields with a P0 representation (cell based), conservativity formulas are different depending on whether the field is extensive or intensive (see \ref InterpKerP0P0Int and \ref InterpKerP0P0Ext).
These two notions are themselves split into two sub-categories. Indeed in some cases (e.g. non \ref MeshOverlap "overlapping meshes"), it is impossible to fulfill both the conservation principle and the maximum principle during the interpolation. The nature of the fields determines the formula to be used for non overlapping cells and thus the property that we will be satisfied. -Finally we consider that fields with P1 or P2 representations are necessarily intensive. + +Finally we consider that fields with P1 or P2 representations are necessarily intensive. \section Usage -In order to use the various \ref interptools, you have to specify the nature of your field. +In order to use the various \ref intro-interp "interpolations", you have to specify the nature of your field. When the source and target meshes do not overlap, different treatments will be employed depending on the nature of the source and target fields. -You can specify the nature of the field when you create a \ref medcoupling field with the following constructor: +You can specify the nature of the field when you create a \ref fields "MEDCoupling field" +with the following constructor: \code MEDCouplingFieldDouble(NatureOfField n, MEDCouplingTimeDiscretization *td, MEDCouplingFieldDiscretization *type); \endcode diff --git a/doc/doxygen/doxfiles/interpolation/barycoords.dox b/doc/user/doxygen/doxfiles/reference/interpolation/barycoords.dox similarity index 100% rename from doc/doxygen/doxfiles/interpolation/barycoords.dox rename to doc/user/doxygen/doxfiles/reference/interpolation/barycoords.dox diff --git a/doc/user/doxygen/doxfiles/reference/interpolation/interpolation.dox b/doc/user/doxygen/doxfiles/reference/interpolation/interpolation.dox new file mode 100644 index 000000000..ef9db963e --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/interpolation/interpolation.dox @@ -0,0 +1,25 @@ +/*! + +\page interpolation Interpolation + +Interpolation (or projection) methods is a key feature of the MEDCoupling library. +It allows to "transfer" the values of a field on a given source mesh to another, newly created field +on a target mesh. + +The two meshes/fields need not to have the same \ref MEDCouplingMeshes "mesh/spatial dimension", nor do they need to have the same \ref discretization "discretization". + +- \subpage intro-interp +- \subpage InterpKerRemapGlobal +- \subpage NatureOfField +- \subpage remapper +- \subpage InterpKerIntersectors + +If you are looking for a parallel utilisation of the above, take a look at: + +- \ref parallel + +Some implementation details of the C++ code can be found in appendix: + +- \ref interpkernel + +*/ diff --git a/doc/doxygen/doxfiles/interpolation/interptheory.dox b/doc/user/doxygen/doxfiles/reference/interpolation/interptheory.dox similarity index 99% rename from doc/doxygen/doxfiles/interpolation/interptheory.dox rename to doc/user/doxygen/doxfiles/reference/interpolation/interptheory.dox index bc0ea8838..6ac5a2014 100644 --- a/doc/doxygen/doxfiles/interpolation/interptheory.dox +++ b/doc/user/doxygen/doxfiles/reference/interpolation/interptheory.dox @@ -1,5 +1,5 @@ /*! -\page InterpKerRemapGlobal Linear remapping +\page InterpKerRemapGlobal Detailed explanations for cell-based (P0) fields For fields with polynomial representation on each cell, the components of the discretized field \f$ \phi_s \f$ on the source side can be expressed as linear combinations of the components of the discretized field \f$ \phi_t \f$ on the target side, in terms of a matrix-vector product: diff --git a/doc/doxygen/doxfiles/interpolation/intersectors.dox b/doc/user/doxygen/doxfiles/reference/interpolation/intersec-specifics.dox similarity index 92% rename from doc/doxygen/doxfiles/interpolation/intersectors.dox rename to doc/user/doxygen/doxfiles/reference/interpolation/intersec-specifics.dox index 5c8f3d6e2..041d57feb 100644 --- a/doc/doxygen/doxfiles/interpolation/intersectors.dox +++ b/doc/user/doxygen/doxfiles/reference/interpolation/intersec-specifics.dox @@ -1,10 +1,11 @@ /*! -\defgroup InterpKerGrpIntPlan Planar Intersector +\page intersec-specifics Specificities of 2D and 3D intersectors -Here are listed all the methods to be called or to overload to all -concrete intersector. - -\page InterpKerIntersectors Intersectors +All the options described here can be set using the +\ref ParaMEDMEM::MEDCouplingRemapper::setOptionInt "MEDCouplingRemapper::setOptionInt", +\ref ParaMEDMEM::MEDCouplingRemapper::setOptionDouble "MEDCouplingRemapper::setOptionDouble", +and \ref ParaMEDMEM::MEDCouplingRemapper::setOptionString "MEDCouplingRemapper::setOptionString" +methods. \section interpolation2D Special features of 2D intersectors @@ -12,9 +13,9 @@ concrete intersector. All the 2D intersectors inherits from INTERP_KERNEL::PlanarIntersector class. -All the important methods are \ref InterpKerGrpIntPlan "described here".\n To sum up the main task offered by this class is to give the -evaluation of interpolation of one cell in source mesh with an another -cell in target mesh. +The main task offered by this class is to give the +evaluation of the interpolation of one cell in source mesh with an another +cell in the target mesh. \subsection InterpKerPlanarIntFeatureP0P0 P0->P0 intersectors features. @@ -28,7 +29,7 @@ non-convex polygons) is supported by this algorithm. Due to its flexibility this algorithm is slower than the other. - \anchor pointlocator PointLocator: This is a \b non \b conservative interpolator. For P0P0, it locates the barycenter of target cell in the source cells. For P1P0, it -locates barycenter of target cell and compute \subpage barycoords "barycentric coordinates" +locates barycenter of target cell and compute \ref barycoords "barycentric coordinates" in source cell (Works only with Triangle). For P0P1 locate target nodes in source cells. For P1P1 compute for each target node its barycentric coordinates in source cell. @@ -135,4 +136,5 @@ The use of the SPLIT_NODES_6 splitting policy would lead to a 6 tetrahedra decom 0, 7, 3, 6 \endverbatim -*/ + +*/ \ No newline at end of file diff --git a/doc/user/doxygen/doxfiles/reference/interpolation/intersectors.dox b/doc/user/doxygen/doxfiles/reference/interpolation/intersectors.dox new file mode 100644 index 000000000..c38a87965 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/interpolation/intersectors.dox @@ -0,0 +1,17 @@ +/*! + +\page InterpKerIntersectors Intersectors + +The various interpolation methods often require the computation of the intersection between +a cell of the source mesh and a cell of the target mesh. The intersectors implemented in the +library take care of this job. + +Before reading on, remember the definition of a \ref glossary "P0 and P1 field". + +- \subpage intersec-specifics +- \subpage interpkernelGeo2D +- \subpage barycoords (used in some P1 intersectors) + +Some implementation details of the C++ code can also be found here: \ref interpkernel + +*/ diff --git a/doc/user/doxygen/doxfiles/reference/interpolation/intro-interp.dox b/doc/user/doxygen/doxfiles/reference/interpolation/intro-interp.dox new file mode 100644 index 000000000..17a8ea446 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/interpolation/intro-interp.dox @@ -0,0 +1,52 @@ +/*! +\page intro-interp Interpolation presentation + +\section interp-over Overview + +The InterpKernel algorithms are part of the MED tool suite. They +answer to the following basic problem : given a source mesh \f$M_s\f$, a +source field \f$F_s\f$ and a target mesh \f$M_t\f$, reconstruct a field \f$F_t\f$ +that uses \f$M_t\f$ as a support. The InterpKernel suite gives a number of +possibilities to compute the target field, depending on a variety of +user constraints. + +\image html interpolationimage.png "General interpolation scheme" width=10cm + +Two different APIs are available depending on whether you run sequentially or in parallel: +- the \ref remapper "remapper class" (based on the underlying \ref interpkernel "InterpKernel" library) +for sequential codes, which uses MEDCoupling \ref fields "fields" and other core data structures. +- the \ref parallel "ParaMEDMEM API" for parallel MPI based codes using \c %ParaMEDMEM distributed fields +(\ref ParaMEDMEM::ParaFIELD "ParaFIELD"), which is also based on the algorithms of the +\ref interpkernel "InterpKernel" library. + +The following space/mesh dimensions are covered: +- 1D, 2D lines, 2D surfaces (\ref interpolation2D), +- 3D surfaces (\ref interpolation3Dsurf) +- and 3D volumes (\ref interpolation3D) + +The interpolation is performed either by: +- node localization (\ref pointlocator "PointLocator"), when for example a node field is projected to a cell field +- or via cell intersection (\ref ConsInterp), when for example a cell field is projected to another cell field. +For any given type of interpolation involving cell intersection computation, the computation of +interpolation matrix W is performed in two steps : + -# A filtering process reduces the number of pairs of elements for which the calculation +must be carried out by eliminating the pairs whose bounding boxes do not intersect. + -# For all remaining pairs, call the appropriate \ref InterpKerIntersectors "cell intersector" + +More complex treatments are also available: +- treatment of extended polygons (where edges can be arcs or segments) +for 2D intersection computations, via the \ref interpkernelGeo2D "Geometric2D intersector", + +Finally the following types of \ref discretization "spatial discretization" combinations are supported: +- management of fields with P0,P1 or P2 representations +- P0<->P0, P1<->P0, P1<->P1 and P2->P0 (non conservative) interpolators are available. + +Remember that whatever the situation you face, you must always specify whether the field +represents an extensive or intensive physical quantity through +the \ref NatureOfField "nature" attribute of the \ref fields "field". + +\section interp-api Key elements of the API + +TODO, list setOption, setIntersectionType, etc ... + +*/ diff --git a/doc/doxygen/doxfiles/interpolation/remapper.dox b/doc/user/doxygen/doxfiles/reference/interpolation/remapper.dox similarity index 64% rename from doc/doxygen/doxfiles/interpolation/remapper.dox rename to doc/user/doxygen/doxfiles/reference/interpolation/remapper.dox index 793e86129..c03c0bad9 100644 --- a/doc/doxygen/doxfiles/interpolation/remapper.dox +++ b/doc/user/doxygen/doxfiles/reference/interpolation/remapper.dox @@ -1,12 +1,12 @@ /*! -\page RemapperClasses The remapper class. +\page remapper The remapper class. \section InterpKerHighLevUsage High-level usage -The simplest way of using the \ref interptools in sequential mode is to use the class \c ParaMEDMEM::MEDCouplingRemapper . This class fulfills \c HXX2SALOME rules and may be used in YACS coupling graphs. +The simplest way of using the \ref intro-interp "interpolations" in sequential mode is to use the class \c ParaMEDMEM::MEDCouplingRemapper . This class fulfills \c HXX2SALOME rules and may be used in YACS coupling graphs. -If you intend to use \ref MEDCoupling data structure, ParaMEDMEM::MEDCouplingRemapper class should be used. +If you intend to use \ref medcoupling "MEDCoupling data structures", the ParaMEDMEM::MEDCouplingRemapper class should be used. \if ENABLE_EXAMPLES Here is a \ref cpp_mcfield_remapper_highlevel "C++ example". diff --git a/doc/user/doxygen/doxfiles/reference/medcoupling.dox b/doc/user/doxygen/doxfiles/reference/medcoupling.dox new file mode 100644 index 000000000..271204fb6 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/medcoupling.dox @@ -0,0 +1,39 @@ +/*! +\page medcoupling Core data structures (MEDCoupling) + +

Overview

+ +The MEDCoupling library gather the core structures used everywhere in the MED world. + +- \subpage arrays +- \subpage numbering +- \subpage meshes +- \subpage fields + +

Design philosophy

+ +The structures described above (arrays, meshes and fields), with the algorithms associated to it +form the core of the MEDCoupling library (\b libmedcoupling.so or \b medcoupling.dll). +It is fully written in C++ and wrapped in Python. + +The MEDCoupling C++ library implements a data structure which is the result of the following tradeoff: +- compliant with \ref glossary "code coupling": + - fields data structure containing enough information to perform a well defined interpolation + - data structure exchangeable through processes, as well in \ref parallel "parallel" (SPMD paradigm - + \ref library "sometimes called ParaMEDMEM"), as in a \ref corba-distrib "distributed paradigm" (using CORBA). +- minimize as much as possible the number of external software prerequisites needed to use it (the core of the +library, MEDCoupling, can be built as a standalone tool). +- light and agile enough to: + - maximize the amount of possible algorithms being applied on it + - ease the implementation of other projects using MEDCoupling as a prerequisite. +- large enough to be used for MED file I/O (thanks to the \ref medloader "MEDLoader" part). +- compliant with VTK visualization data structures +- integrate HPC constraints (compact structures, limitation of copies and launching of CPU consuming algorithms only when absolutely needed ). +- compliant with the \ref icoco "ICoCo API" + +The MEDCoupling also implements a set of algorithms linked to this data structure. The +\ref functionalities "functionalities" section gives an insight of the avalaible algorithm. + + + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/medloader/MEDLoaderAdvancedAPI.dox b/doc/user/doxygen/doxfiles/reference/medloader/MEDLoaderAdvancedAPI.dox similarity index 82% rename from doc/doxygen/doxfiles/medloader/MEDLoaderAdvancedAPI.dox rename to doc/user/doxygen/doxfiles/reference/medloader/MEDLoaderAdvancedAPI.dox index 4f2995d74..60ae211f4 100644 --- a/doc/doxygen/doxfiles/medloader/MEDLoaderAdvancedAPI.dox +++ b/doc/user/doxygen/doxfiles/reference/medloader/MEDLoaderAdvancedAPI.dox @@ -1,17 +1,21 @@ /*! -\page MEDLoaderAdvancedAPIPage Advanced MEDLoader API. +\page MEDLoaderAdvancedAPIPage Advanced MEDLoader API [TOC] -This method is much closer to MED file organization than \ref -MEDLoaderBasicAPI "basic MEDLoader API". All MED file +This method is much closer to MED file organization than the \ref +MEDLoaderBasicAPIPage "basic MEDLoader API". All MED file concepts are exposed to the user. As a consequence, this advanced -API is lead to change with MED file data model enhancement. +API is meant to evolve with MED file data model enhancement. -In reading mode, the user can scan entirely and directly the contents of its MED file as it is organized in its MED file. +In reading mode, the user can scan entirely and directly the contents of +its MED file directly as it is organized on the disk. Inversely, in writing mode, the user can describe its data in the same -way that MED file does. +way that MED file does on the disk. + +When looking for a specific point in the API, the diagram provided at the +end of this section might help: \section AdvMEDLoaderBasics Some of basics of advanced API @@ -255,4 +259,36 @@ Here is a \ref py_mcfield_writefile_allentities "Python example". Here is a \ref py_mcfield_writefile_partial "Python example". \endif +\section AdvMEDLoaderDiagram Simplified class diagram of the advanced API + +\image html med-loader-adv-classes.png "Class diagram of the advanced MEDLoader API" + +The blue rectangles show the links to the MEDCoupling objects. Note that in MEDCoupling there is no +representation of a field of integer. Those are extracted directly as \ref ParaMEDMEM::DataArrayInt "DataArrayInt". + +The classes shown on this diagram (all part of the \ref cpp "unfortunately named ParaMEDMEM namespace"): +- \ref ParaMEDMEM::MEDFileData "MEDFileData", the encapsulation of a complete MED file + +and also: +- \ref ParaMEDMEM::MEDFileMeshes "MEDFileMeshes", the set of meshes in the file +- \ref ParaMEDMEM::MEDFileMeshMultiTS "MEDFileMeshMultiTS", a single mesh with muliple time steps +- \ref ParaMEDMEM::MEDFileMesh "MEDFileMesh", a single mesh on a single timestep +- \ref ParaMEDMEM::MEDFileUMesh "MEDFileUMesh", a single unstructured mesh + +and also: +- \ref ParaMEDMEM::MEDFileFields "MEDFileFields", the set of fields in a MED file +- \ref ParaMEDMEM::MEDFileAnyTypeFieldMultiTS "MEDFileAnyTypeFieldMultiTS", a single field with multiple +time steps (can be an integer field or a double field) +- \ref ParaMEDMEM::MEDFileFieldMultiTS "MEDFileFieldMultiTS", a single field of doubles with multiple time steps +- \ref ParaMEDMEM::MEDFileIntFieldMultiTS "MEDFileIntFieldMultiTS", a single field of int with multiple time steps +- \ref ParaMEDMEM::MEDFileFieldMultiTS "MEDFileAnyTypeField1TS", a single field with a single time step +(integer or double) +- \ref ParaMEDMEM::MEDFileField1TS "MEDFileField1TS", a single field of doubles with a single time step +- \ref ParaMEDMEM::MEDFileIntField1TS "MEDFileIntField1TS", a single field of ints with a single time step + +and finally: +- \ref ParaMEDMEM::MEDFileParameters "MEDFileParameters", numerical parameters stored in a MED file + + + */ diff --git a/doc/doxygen/doxfiles/medloader/MEDLoaderBasicAPI.dox b/doc/user/doxygen/doxfiles/reference/medloader/MEDLoaderBasicAPI.dox similarity index 99% rename from doc/doxygen/doxfiles/medloader/MEDLoaderBasicAPI.dox rename to doc/user/doxygen/doxfiles/reference/medloader/MEDLoaderBasicAPI.dox index d4f553d36..c4eb56848 100644 --- a/doc/doxygen/doxfiles/medloader/MEDLoaderBasicAPI.dox +++ b/doc/user/doxygen/doxfiles/reference/medloader/MEDLoaderBasicAPI.dox @@ -1,6 +1,6 @@ /*! -\page MEDLoaderBasicAPIPage Basic MEDLoader API. +\page MEDLoaderBasicAPIPage Basic MEDLoader API [TOC] diff --git a/doc/doxygen/doxfiles/medloader.dox b/doc/user/doxygen/doxfiles/reference/medloader/intro-medloader.dox similarity index 90% rename from doc/doxygen/doxfiles/medloader.dox rename to doc/user/doxygen/doxfiles/reference/medloader/intro-medloader.dox index 92fe1099b..e7aed8163 100644 --- a/doc/doxygen/doxfiles/medloader.dox +++ b/doc/user/doxygen/doxfiles/reference/medloader/intro-medloader.dox @@ -1,20 +1,20 @@ /*! -\page medloader MEDLoader +\page intro-medloader Overview [TOC] \section MEDLoaderIntro Introduction \ref medloader "MEDLoader" is a package in charge of loading from a file or write to a file -in MED format a \ref medcoupling data structure. The fact that these -functionalities are not merged in \ref medcoupling is explained by a -willingness of reducing as much as possible the dependencies of \ref medcoupling libraries. +in MED format a \ref medcoupling "MEDCoupling data structure". The fact that these +functionalities are not merged in the \ref library "MEDCoupling library" is explained by a +willingness of reducing as much as possible the dependencies of this library. -As a MED file can combine several \ref medcoupling aspects in one (for example meshes in -MED file on different mesh dimension with families and groups) the API +As a MED file can combine several \ref medcoupling "MEDCoupling" aspects in one (for example meshes in +MED file on more than one dimensions with families and groups) the API of \ref medloader "MEDLoader" is much more rich than simply read and write. -\ref MEDCouplingMeshesPage "MEDCoupling mesh" is \b not as rich as a MED file mesh, and a \ref MEDCouplingFieldsPage "MEDCoupling field" is \b not as rich as a MED file field. +\ref meshes "MEDCoupling mesh" is \b not as rich as a MED file mesh, and a \ref MEDCouplingFieldsPage "MEDCoupling field" is \b not as rich as a MED file field. But it is possible to emulate with a very good fidelity a MED file mesh and a MED file field with a collection of MEDCoupling instances for each. \section MEDLoader2Approaches Two approaches @@ -28,9 +28,9 @@ Whatever the approach(es) you choose, it is advisable to know main concepts of M \subsection MEDLoaderBasicApproach Basic API approach -\subpage MEDLoaderBasicAPIPage "A specific page dedicated to the basic API is available here". +\ref MEDLoaderBasicAPIPage "A specific page dedicated to the basic API is available here". -This approach is less close to MED file concepts, but closer to \ref MEDCouplingMainConc "MEDCoupling concepts". +This approach is less close to MED file concepts, but closer to \ref medcoupling "MEDCoupling concepts". So, basic API is simpler, as shown by method MEDLoader::WriteUMesh that needs no special knowledge about MED file concepts to interact with MED files. @@ -46,7 +46,7 @@ As MED file concepts are more complex than MEDCoupling concepts, this approach i \subsection MEDLoaderAdvApproach Advanced API approach -\subpage MEDLoaderAdvancedAPIPage "A specific page dedicated to the advanced API is available here". +\ref MEDLoaderAdvancedAPIPage "A specific page dedicated to the advanced API is available here". This approach is the closest to MED file. By using this advanced API approach the user will manipulate classes that represent MED file concepts. @@ -133,7 +133,7 @@ For each geometric type on which \a myMesh is defined the mesh dimensions are : - MED_POLYHED -> mesh dimension=3 - MED_TETRA4 -> mesh dimension=3 -The mesh dimension of \a myMesh is equal to 3 ( \f max(2,0,3,3) ). The **relative mesh dimension** is equal to the difference between mesh dimension of geometric type and the mesh dimension +The mesh dimension of \a myMesh is equal to 3 ( \c max(2,0,3,3) ). The **relative mesh dimension** is equal to the difference between mesh dimension of geometric type and the mesh dimension of the whole MED file dimension. It leads to the following **relative mesh dimension** : - MED_TRI3 -> **relative mesh dimension** = -1 diff --git a/doc/user/doxygen/doxfiles/reference/medloader/medloader.dox b/doc/user/doxygen/doxfiles/reference/medloader/medloader.dox new file mode 100644 index 000000000..641af911a --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/medloader/medloader.dox @@ -0,0 +1,16 @@ +/*! +\page medloader MEDLoader: Writing, reading MED files + +MEDLoader is built on top of the **MEDCoupling** library and uses its core structure +(\ref arrays DataArray, \ref meshes Meshes, \ref fields Fields). +It is an extension dedicated to the writing and reading of mesh and fields to MED files (files with a .med +extension). + +- \subpage intro-medloader +- \subpage MEDLoaderBasicAPIPage +- \subpage MEDLoaderAdvancedAPIPage + +More information on the MED file format itself can be found at: +- \ref med-file + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingCMesh.dox b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingCMesh.dox similarity index 74% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingCMesh.dox rename to doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingCMesh.dox index 8d3263401..6f75f2cd2 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingCMesh.dox +++ b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingCMesh.dox @@ -1,6 +1,6 @@ /*! - \page MEDCouplingCMeshPage Cartesian meshes in MEDCoupling + \page MEDCouplingCMeshPage Cartesian mesh A cartesian mesh is a mesh that represents structured mesh whose nodes are arranged along axes of trihedron. @@ -16,8 +16,8 @@ The class that incarnates the described concept is : ParaMEDMEM::MEDCouplingCMes Let's present an example of a 2D cartesian mesh. -\subpage medcouplingcppexamplesCmeshStdBuild1 "Here the C++ implementation." +\ref medcouplingcppexamplesCmeshStdBuild1 "Here the C++ implementation." -\subpage medcouplingpyexamplesCmeshStdBuild1 "Here the Python implementation." +\ref medcouplingpyexamplesCmeshStdBuild1 "Here the Python implementation." */ diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingExtruded.dox b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingExtruded.dox similarity index 84% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingExtruded.dox rename to doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingExtruded.dox index 95a4783ed..f684fb6f1 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingExtruded.dox +++ b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingExtruded.dox @@ -1,8 +1,8 @@ /*! - \page MEDCouplingExtrudedPage 3D Extruded meshes in MEDCoupling + \page MEDCouplingExtrudedPage 3D extruded mesh -An extruded mesh is a mesh also called 2.5 D. +An extruded mesh is sometimes also called a 2.5D mesh. It is a convolution of a 2D unstructured mesh with a 1D unstructured mesh. diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingPointSet.dox b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingPointSet.dox similarity index 94% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingPointSet.dox rename to doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingPointSet.dox index be05453dd..fd679e684 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingPointSet.dox +++ b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingPointSet.dox @@ -1,6 +1,6 @@ /*! - \page MEDCouplingPointSetPage Point set meshes in MEDCoupling + \page MEDCouplingPointSetPage Point set mesh This is a \b non \b instantiable class that implements many algorithm working only on a set of points without any connectivity aspect. The presence of this class is only for factorization reasons. diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingUMesh.dox b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingUMesh.dox similarity index 80% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingUMesh.dox rename to doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingUMesh.dox index 11596a348..0aa7f23b6 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingUMesh.dox +++ b/doc/user/doxygen/doxfiles/reference/meshes/MEDCouplingUMesh.dox @@ -1,12 +1,10 @@ /*! - \page MEDCouplingUMeshPage Unstructured meshes in MEDCoupling - -[TOC] + \page MEDCouplingUMeshPage Unstructured mesh An unstructured mesh in \ref medcoupling MEDCoupling is defined by : - - a point cloud where the explicit coordinates of each point must be specified (inherited from \subpage MEDCouplingPointSetPage "MEDCouplingPointSet class"). + - a point cloud where the explicit coordinates of each point must be specified (inherited from \ref MEDCouplingPointSetPage "MEDCouplingPointSet class"). - nodal connectivity that specifies for each cell, the points in the previous point cloud that constitutes the cell. As unstructured mesh is dynamically defined enough, this class is also used by MEDCoupling to instantiate degenerated meshes as : @@ -30,16 +28,17 @@ The class that incarnates the described concept is : ParaMEDMEM::MEDCouplingUMes The described method here is called standard, because no special knowledge of underneath nodal connectivity is needed here. This method of building unstructured mesh is easiest but not the most CPU/memory efficient one. -All of examples given here make the assumption that the \c ParaMEDMEM namespace is visible ( by calling for example \c using \c namespace \c ParaMEDMEM; ). +All of examples given here make the assumption that the \ref ParaMEDMEM "ParaMEDMEM namespace" is visible ( by calling for example \c using \c namespace \c ParaMEDMEM; ). Here we will create a mesh with spacedim==3 and meshdim==2. \b mesh contains 5 cells (with geometric type INTERP_KERNEL::NORM_TRI3, INTERP_KERNEL::NORM_QUAD4) and 9 nodes. -You can notice that it is possible to mix cell types as long as the dimension of cell is exactly equal to meshDim to respect \ref MEDCouplingMeshes "this rule". +You can notice that it is possible to mix cell types as long as the dimension of the cell is exactly +equal to meshDim to respect \ref MEDCouplingMeshes "this rule". -\subpage medcouplingcppexamplesUmeshStdBuild1 "Here is the C++ implementation." +\ref medcouplingcppexamplesUmeshStdBuild1 "Here is the C++ implementation." -\subpage medcouplingpyexamplesUmeshStdBuild1 "Here is the Python implementation." +\ref medcouplingpyexamplesUmeshStdBuild1 "Here is the Python implementation." \section MEDCouplingUMeshNodalConnectivity How MEDCouplingUMesh stores its nodal connectivity @@ -60,8 +59,8 @@ Here we are going to build the mesh in a more advanced manner. This method expec The same mesh than \ref MEDCouplingUMeshStdBuild "in the standard section above" is going to be implemented using advanced method. -\subpage medcouplingcppexamplesUmeshAdvBuild1 "Here the C++ implementation." +\ref medcouplingcppexamplesUmeshAdvBuild1 "Here the C++ implementation." -\subpage medcouplingpyexamplesUmeshAdvBuild1 "Here the Python implementation." +\ref medcouplingpyexamplesUmeshAdvBuild1 "Here the Python implementation." */ diff --git a/doc/user/doxygen/doxfiles/reference/meshes/meshes.dox b/doc/user/doxygen/doxfiles/reference/meshes/meshes.dox new file mode 100644 index 000000000..76e952402 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/meshes/meshes.dox @@ -0,0 +1,47 @@ + +/*! + \page meshes Meshes + +

Overview

+ +Several types of meshes are available in MEDCoupling: + +- \subpage MEDCouplingPointSetPage "Point set mesh" (abstract, can not be instanciated) +- \subpage MEDCouplingUMeshPage "Unstructured meshes" +- \subpage MEDCouplingCMeshPage "Cartesian meshes" +- \subpage MEDCouplingExtrudedPage "3D Extruded meshes" + +\anchor MEDCouplingMeshes +

Common concept shared by all type of Meshes in MEDCoupling

+ +A mesh has the following properties : +- a name (a string) +- **a dimension (called mesh dimension) and only one** (it implies that \b all cells constituting +mesh have the same dimension, e.g. no mix between a volumic cube and a flat triangle in the same mesh). This +point matters as it differs from what the MED file format authorizes. +- a space dimension (the space where the coordinates of the points are defined) +- a set of nodes +- a set of cells (whose vertices are in the node set above) + +In MEDCoupling library there is no explicit notion of faces nor edges. All cells, be it in 3D, 2D or 1D is +described by a set of point, or by a set of coordinates. + +As said above, a mesh has only one dimension, which is often called the "mesh dimension". This notion is different +from the "space dimension", corresponding to the dimension of the space where the nodes are defined. + +For example a mesh with a mesh dimension equal to 1 can have \b cells of type +NORM_SEG2 (simple segments). This mesh can however have a space dimension of 3, meaning that we +describe a 3D polygonal line. +Another example: a mesh with a mesh dimension equal +to 2, can have \b cells of type NORM_TRI3 (triangles) and NORM_POLYGON (arbitrary 2D polygons) for example. +It can still have a space dimension of 3, meaning that we describe a planar surface embedded in a 3D space. + +The (abstract) class that covers the concept described above is \ref ParaMEDMEM::MEDCouplingMesh. + +

Available (non abstract) mesh types in MEDCoupling

+ +- \ref MEDCouplingUMeshPage +- \ref MEDCouplingCMeshPage +- \ref MEDCouplingExtrudedPage + +*/ diff --git a/doc/doxygen/doxfiles/medcoupling/MEDCouplingFieldTemplates.dox b/doc/user/doxygen/doxfiles/reference/misc/MEDCouplingFieldTemplates.dox similarity index 60% rename from doc/doxygen/doxfiles/medcoupling/MEDCouplingFieldTemplates.dox rename to doc/user/doxygen/doxfiles/reference/misc/MEDCouplingFieldTemplates.dox index 5be4dec00..52092d93a 100644 --- a/doc/doxygen/doxfiles/medcoupling/MEDCouplingFieldTemplates.dox +++ b/doc/user/doxygen/doxfiles/reference/misc/MEDCouplingFieldTemplates.dox @@ -3,14 +3,16 @@ \page MEDCouplingFieldTemplatesPage Field templates in MEDCoupling This concept appears in ICOCO API. -field template is the adequate data structure to perform costly interpolation matrix computation as \ref RemapperClasses "Remapper class" does. -So, a field template can be seen as field without double values. The double values are only used for light matrix vector multiplication. +A field template is the adequate data structure to perform costly interpolation matrix computation as \ref remapper "Remapper class" does. +A field template can be seen as field without its double values. The double values are only used for light matrix vector multiplication. Concretely a field template is a pair containing : -- a \ref MEDCouplingMeshesPage "mesh" +- a \ref meshes "mesh" - a spatial discretization (on cells, on nodes, on Gauss points (including localizations, reference elements), ) +TODO enhance here + */ LocalWords: discretization diff --git a/doc/user/doxygen/doxfiles/reference/misc/icoco.dox b/doc/user/doxygen/doxfiles/reference/misc/icoco.dox new file mode 100644 index 000000000..b48ec73a9 --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/misc/icoco.dox @@ -0,0 +1,11 @@ +/*! + +\page icoco The ICoCo API + +ICoCo stands for Interface for COde COupling. + +It is a pure abstract API defining a standard way for two physical codes to exchange information between them. + +TODO: complete this section. + +*/ diff --git a/doc/user/doxygen/doxfiles/reference/misc/misc.dox b/doc/user/doxygen/doxfiles/reference/misc/misc.dox new file mode 100644 index 000000000..111192a7a --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/misc/misc.dox @@ -0,0 +1,12 @@ +/*! +\page misc Miscellaneous - Specialized interfaces and tools + +This page references miscellaneous tools available in MEDCoupling that do not fit +anywhere else in the documentation. + +- \subpage tools +- \subpage icoco +- \subpage MEDCouplingFieldTemplatesPage + + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxfiles/tools.dox b/doc/user/doxygen/doxfiles/reference/misc/tools.dox similarity index 100% rename from doc/doxygen/doxfiles/tools.dox rename to doc/user/doxygen/doxfiles/reference/misc/tools.dox diff --git a/doc/user/doxygen/doxfiles/reference/reference.dox b/doc/user/doxygen/doxfiles/reference/reference.dox new file mode 100644 index 000000000..d6419583d --- /dev/null +++ b/doc/user/doxygen/doxfiles/reference/reference.dox @@ -0,0 +1,23 @@ +/*! +\page reference Reference manual + +The following pages constitutes the reference manual of the \ref library "MEDCoupling and MEDLoader libraries". +If you are looking for a more informal overview, you should go to the \ref start "getting started" section. + +The basic \ref medcoupling "core structures" are first covered (this is what constitutes the MEDCoupling library), +and the manual then moves onto more advanced concepts and methods. + +You can also take a look at the numerous \ref examples "code examples" provided with this documentation. + +- \subpage medcoupling + - \ref arrays + - \ref numbering + - \ref meshes + - \ref fields +- \subpage medloader +- \subpage interpolation +- \subpage cpp +- \subpage distrib +- \subpage misc + +*/ diff --git a/doc/doxygen/doxfiles/functionalities.dox b/doc/user/doxygen/doxfiles/start/functionalities.dox similarity index 91% rename from doc/doxygen/doxfiles/functionalities.dox rename to doc/user/doxygen/doxfiles/start/functionalities.dox index 0e13fd64a..10869924c 100644 --- a/doc/doxygen/doxfiles/functionalities.dox +++ b/doc/user/doxygen/doxfiles/start/functionalities.dox @@ -1,6 +1,8 @@ /*! \page functionalities Available functionalities +This page tries to list most of the available functionalities of the %MEDCoupling library. +It is by no mean exhaustive, but gives an overview of the capabilities of the core library. \section directOperations Direct operations on fields \subsection directOperations_creation Field creation @@ -91,7 +93,7 @@ And also: \section interpolationOperations Interpolation - +A full section is dedicated to interpolation, as this is far from being a trivial matter. See: \ref interpolation \section globalOperations Global operations - Spatial extrema: \b MaxFields, \b MinFields \n diff --git a/doc/user/doxygen/doxfiles/start/intro-start.dox b/doc/user/doxygen/doxfiles/start/intro-start.dox new file mode 100644 index 000000000..51c6ca63f --- /dev/null +++ b/doc/user/doxygen/doxfiles/start/intro-start.dox @@ -0,0 +1,42 @@ +/*! + +\page intro-start What can I do with MED? + +Simulation studies require the manipulation of \ref meshes "meshes" and \ref fields "fields" for data +pre-processing, in calculation schemes (including chaining and coupling +of codes), or even for results post-processing. + +Corresponding computer codes can be viewed as software components accessing +input \ref meshes "meshes" and \ref fields "fields" (with specific constraints) along with parameters +(datasets), and producing output \ref meshes "meshes" and \ref fields "fields". Each code presents by +construction the specificities of its discipline. + +The \ref library "MED module" aims at pooling operations on those items, facilitating +their use by various codes involved in a simulation process. This includes +making codes communicate while preserving as much as possible the integrity of +their content. + +To fulfill its objective, the \ref library "MED module" includes: +- Handling \ref meshes "meshes" and \ref fields "fields" to satisfy code input requirements. +- Extraction of field information to post-process computation results of +a code. +- \ref interpolation "Projections" and serialization to \ref para-dec "exchange meshes and fields" between codes. + +In addition, the \ref library "MED module" offers several interfacing levels; users can thus +benefit from an interaction level adapted to their codes. + +The main services offered by \ref library "MEDCoupling" are: +- Manipulation of \ref fields "fields" and their support \ref meshes "mesh", serialized with the +\ref medloader "MED format". +- Operations on scalars, vectors, and second order tensors. +- 1D/2D/3D \ref interpolation "interpolation" on nodes, cells, Gauss points and nodes by element. + +MEDCoupling thus considers: +- the \ref MEDCouplingMeshes "data dimension". +- the \ref NatureOfField "physical nature" of the information stored in a field, as well as conservation laws. +- the field profiles and the mesh connectivity. + +\image html projectionHQ_600.png +
+ +*/ diff --git a/doc/user/doxygen/doxfiles/start/library.dox b/doc/user/doxygen/doxfiles/start/library.dox new file mode 100644 index 000000000..921338504 --- /dev/null +++ b/doc/user/doxygen/doxfiles/start/library.dox @@ -0,0 +1,50 @@ +/*! +\page library The MED constellation: MEDCoupling, MEDLoader, MED file, etc ... + +\section lib-termino Who's who? +The library and the module have evolved over the years, raising +some confusion between all the names used to label the various pieces. This page tries to clarify +this situation. + +"MED" can (unfortunately) refer to: +- \ref med-file "MED file format": the file format used to save a mesh (".med" extension) +- \ref med-file "MED-file library": the C++ library developped by EdF R&D (and provided + with SALOME) to read/write MED file (warning: for advanced users only!) +- \ref medcoupling "MEDCoupling": the (relatively) high level API to deal with mesh and fields in memory +- \ref medloader MEDLoader: part of the library dedicated to file I/O = a more user-friendly API than the MED-file library API +- \ref remapper "Remapper": part of the library dedicated to +\ref interpolation "interpolation/projection methods" +- \ref gui "SALOME’s MED module" (GUI point of view): a graphical client in the SALOME main application, providing a graphical interaction with part of the library +- and finally \ref parallel "ParaMEDMEM", for the projection operations and field transfers in parallel + +The most common confusion is between the MED library (what you are reading at present) and +the MED-file library ("MED fichier"). +The MED-file library is part of the prerequisites of the MED libary, and its only purpose is to read and write +MED files. This is a low level API written in C, and giving a fine-grain access to the structure +of the MED files (.med). The architecture diagramm below details those points further. + +Another source of common confusion is that all the standard (sequential) MEDCoupling/MEDLoader API lies in +the \b %ParaMEDMEM namespace. +This is quite unfortunate but due to historical reasons. The true parallel functionalities +of the MED library are detailed here: \ref parallel, but are still often called +the %ParaMEDMEM part of the library. + +\section lib-archi Architecture +The figure below represents the layer structure of the packages of the +library. +- each element depends on the blocks it covers (fully or partially). +- White blocks represent system or external dependencies. +- the MEDCalc block, with gray background color, is the \ref gui "Graphical User Interface". +- red-colored text identifies code with Swig interfaces (API available in \ref python-api "Python") +- blue-colored text identifies code with both \ref python-api "Swig interfaces" and \ref corba-distrib "CORBA layer". + +\image html MedCoupling_Architecture.png + +The fundamental set (blue background) consists in three atomic libraries: + +- \ref medcoupling "MEDCoupling" that describes data structures used for cross process exchange of \ref meshes "meshes" and \ref fields "fields". +- \ref medloader "MEDLoader" and ParaMEDLoader that provides I/O functions to the MED file format with sequential and parallel processing, respectively. Those are built on top of the MED-file library. +- \ref intro-interp "interpolation tools" that provides mathematical structures and algorithms for interpolation and + localization. It is implemented in three blocks: \ref INTERP_KERNEL "InterpKernel", \ref ParaMEDMEM::MEDCouplingRemapper "Remapper" and \ref parallel "ParaMEDMEM" (Remapper with parallel processing). + +*/ diff --git a/doc/user/doxygen/doxfiles/start/python-api.dox b/doc/user/doxygen/doxfiles/start/python-api.dox new file mode 100644 index 000000000..5af75272d --- /dev/null +++ b/doc/user/doxygen/doxfiles/start/python-api.dox @@ -0,0 +1,35 @@ +/*! + +\page python-api A word on the Python API + +The Python API is highly similar to the C++ one. The main modules to import are: +- %MEDCoupling +- %MEDLoader (with mainly the static \ref MEDLoader "MEDLoader class" within this module) + +The following intuitive rules have been used to map the C++ objects to the Python ones: +- std::vector become standard Python lists, see for example \ref py_mcdataarrayint_setpartofvalues where the function +ParaMEDMEM::DataArray::setInfoOnComponents() is used. +- the return values of C++ functions (usually passed as last arguments in the C++ prototype) are +returned directly as a tuple, see for example the Python usage of ParaMEDMEM::MEDCouplingUMesh::getReverseNodalConnectivity() in \ref cpp_mcumesh_getReverseNodalConnectivity. The +initial prototype where the return values are passed as argument can however still be used, provided you instantiate +the returned objects first. +- the indexing mechanism is greatly simplified in Python, and offers similar functionalities to what NumPy +provides thanks to the ':' (column) operator. Once can for example refer to part of an array with something like + +\code{.py} +import MEDCoupling as mc +d = mc.DataArrayInt([(1,2), (3,4), (5,6)], 3, 2) # an array of 3 tuples with 2 components +print d[:,1] # show only second component of the array: 2,4,6 +\endcode + + +Finally for the most common objects (DataArray, MEDCouplingUMesh, etc ...) one can direclty access the +Doxygen documentation in the interactive Python interpreter using the built-in help function from Python: + +\code{.py} +import MEDCoupling as mc +help(mc.DataArrayDouble.getNumberOfTuples) +\endcode + + +*/ \ No newline at end of file diff --git a/doc/user/doxygen/doxfiles/start/start.dox b/doc/user/doxygen/doxfiles/start/start.dox new file mode 100644 index 000000000..9780907b8 --- /dev/null +++ b/doc/user/doxygen/doxfiles/start/start.dox @@ -0,0 +1,18 @@ +/*! +\page start Getting started + +If you are completly new to MED, this page will help you grasp the main concepts +used overall in the \ref library "MED world", and have an idea of what you can achieve with MED. + +The tutorial is also a good way to start. + +Once you are familiar with those concepts, more detailed explanations are available +in the \ref reference "reference manual". + +- \subpage intro-start +- \subpage terminology +- \subpage library +- \subpage functionalities +- \subpage python-api + +*/ diff --git a/doc/user/doxygen/doxfiles/start/terminology.dox b/doc/user/doxygen/doxfiles/start/terminology.dox new file mode 100644 index 000000000..8d05a9f23 --- /dev/null +++ b/doc/user/doxygen/doxfiles/start/terminology.dox @@ -0,0 +1,57 @@ +/*! +\page terminology Terminology - Meshes, fields, interpolation + +\section start-meshfield Meshes and fields + +This section covers at a very high level the concepts used overall in the MED world. +More precise definitions can be found in the \ref glossary, or in the dedicated pages for the +\ref meshes "meshes" and the \ref fields "fields". + +Many physical simulation codes (try to) solve a given set of equations on a given geometrical domain. +This domain can be anything from the representation of a building to the description of the +molecular network found in a small piece of concrete. + +The geometrical domain is provided to the machine as a CAO modelisation (what you can build with the +GEOM module of SALOME for example). + +\image html geom.png "Example geometry (CAO) of a cylinder" + +The numerical codes (e.g. FEM-based codes) +are usually unable to work directly with such a format, and a spatial discretization of the domain has +to be performed: the **meshing**. A **mesh** can hence roughly be seen as a discrete version of a continuous input geometry. +The module SMESH in SALOME is typically dedicated to performing this task. + +\image html fine_mesh.png "Example meshing of the above geometry" + +A mesh is made of **cells** (the elementary spatial unit), which are typically simple polygons or polyhedrons. + +On this support, the code can read/store values in form of a **field**. A **field** is hence an +array of data, where each cell (or node, or ... etc) has +one (or more) values associated to it. A code simulating the heat equation will for example produce a temperature +field assigning a single temperature value to each cell of the mesh. + +Taking the vocabulary of the finite-element world, a field with values stored at the cell level is often +called a **P0 field**, and a field where values are stored at node level a **P1 field**. + +More on this subject: +- \ref meshes +- \ref fields + +\section start-interp Interpolation + +When working with different codes, or when coupling codes, it is often the case that the initial problem +has been modelised in two different ways. For example a thermic code might use a mesh made of tetrahedron +and a CFD code might use a mesh made of hexaedrons. The interpolation mechanisms provided in the MED library +allow the user to easily \b transfer field data from one representation to the other. + +In all its generality it is a complex task, covering many different use cases (do the two meshes overlap? do +we want to conserve the total amount represented by the field?, etc...), justifying a dedicated section in +the documentation: \ref interpolation + +In this documentation you will sometime read the words "projection", or "transfer" or "interpolation" for this +process. + +More on this subject: +- \ref interpolation + +*/ diff --git a/doc/user/doxygen/doxfiles/tutorial.dox b/doc/user/doxygen/doxfiles/tutorial.dox new file mode 100644 index 000000000..edf6943f9 --- /dev/null +++ b/doc/user/doxygen/doxfiles/tutorial.dox @@ -0,0 +1,8 @@ +/*! + +\page tutorial Tutorial - MEDCoupling/MEDLoader in Python + +The %MEDCoupling/%MEDLoader Python tutorial is accessible here: +- MEDCoupling tutorial + +*/ \ No newline at end of file diff --git a/doc/doxygen/doxy2swig/MEDCoupling_doc.i.in b/doc/user/doxygen/doxy2swig/MEDCoupling_doc.i.in similarity index 100% rename from doc/doxygen/doxy2swig/MEDCoupling_doc.i.in rename to doc/user/doxygen/doxy2swig/MEDCoupling_doc.i.in diff --git a/doc/doxygen/doxy2swig/MEDLoader_doc.i.in b/doc/user/doxygen/doxy2swig/MEDLoader_doc.i.in similarity index 100% rename from doc/doxygen/doxy2swig/MEDLoader_doc.i.in rename to doc/user/doxygen/doxy2swig/MEDLoader_doc.i.in diff --git a/doc/doxygen/doxy2swig/doxy2swig.cmake b/doc/user/doxygen/doxy2swig/doxy2swig.cmake similarity index 97% rename from doc/doxygen/doxy2swig/doxy2swig.cmake rename to doc/user/doxygen/doxy2swig/doxy2swig.cmake index 0e96b3664..1e3ed568a 100644 --- a/doc/doxygen/doxy2swig/doxy2swig.cmake +++ b/doc/user/doxygen/doxy2swig/doxy2swig.cmake @@ -22,13 +22,14 @@ ## the docstrings built from the C++ doxygen documentation. ## -SET(_DOXY2SWIG ${PROJECT_SOURCE_DIR}/doc/doxygen/doxy2swig/doxy2swig.py) +SET(_DOXY2SWIG ${PROJECT_SOURCE_DIR}/doc/user/doxygen/doxy2swig/doxy2swig.py) SET(_SWIG_DOC_SUFFIX "doc_class_") # # MEDCoupling classes to include # SET(_classes_MEDCoupling + ParaMEDMEM_1_1MEDCouplingPointSet ParaMEDMEM_1_1MEDCouplingUMesh ParaMEDMEM_1_1MEDCouplingCMesh ParaMEDMEM_1_1MEDCouplingRemapper diff --git a/doc/doxygen/doxy2swig/doxy2swig.py b/doc/user/doxygen/doxy2swig/doxy2swig.py similarity index 100% rename from doc/doxygen/doxy2swig/doxy2swig.py rename to doc/user/doxygen/doxy2swig/doxy2swig.py diff --git a/doc/doxygen/fakesources/MEDCouplingField.C b/doc/user/doxygen/fakesources/MEDCouplingField.C similarity index 100% rename from doc/doxygen/fakesources/MEDCouplingField.C rename to doc/user/doxygen/fakesources/MEDCouplingField.C diff --git a/doc/doxygen/fakesources/MEDCouplingFieldDouble.C b/doc/user/doxygen/fakesources/MEDCouplingFieldDouble.C similarity index 97% rename from doc/doxygen/fakesources/MEDCouplingFieldDouble.C rename to doc/user/doxygen/fakesources/MEDCouplingFieldDouble.C index 8a67b4aaf..b5d74a3a9 100644 --- a/doc/doxygen/fakesources/MEDCouplingFieldDouble.C +++ b/doc/user/doxygen/fakesources/MEDCouplingFieldDouble.C @@ -238,12 +238,12 @@ MEDCouplingFieldDouble::WriteVTK(const char *fileName, const std::vector& varsOrder, const char *func); +MEDCouplingFieldDouble::applyFunc2(int nbOfComp, const std::string &func); +MEDCouplingFieldDouble::applyFunc3(int nbOfComp, const std::vector& varsOrder, const std::string &func); MEDCouplingFieldDouble::applyLin(double a, double b, int compoId); MEDCouplingFieldDouble::buildNewTimeReprFromThis(TypeOfTimeDiscretization td, bool deepCopy) const; MEDCouplingFieldDouble::buildSubPart(const DataArrayInt *part) const; @@ -264,9 +264,9 @@ MEDCouplingFieldDouble::doublyContractedProduct() const; MEDCouplingFieldDouble::eigenValues() const; MEDCouplingFieldDouble::eigenVectors() const; MEDCouplingFieldDouble::fillFromAnalytic(int nbOfComp, FunctionToEvaluate func); -MEDCouplingFieldDouble::fillFromAnalytic(int nbOfComp, const char *func); -MEDCouplingFieldDouble::fillFromAnalytic2(int nbOfComp, const char *func); -MEDCouplingFieldDouble::fillFromAnalytic3(int nbOfComp, const std::vector& varsOrder, const char *func); +MEDCouplingFieldDouble::fillFromAnalytic(int nbOfComp, const std::string &func); +MEDCouplingFieldDouble::fillFromAnalytic2(int nbOfComp, const std::string &func); +MEDCouplingFieldDouble::fillFromAnalytic3(int nbOfComp, const std::vector& varsOrder, const std::string &func); MEDCouplingFieldDouble::getArray() const; MEDCouplingFieldDouble::getArray(); MEDCouplingFieldDouble::getAverageValue() const; @@ -357,8 +357,8 @@ MEDCouplingFieldDouble::MEDCouplingFieldDouble(NatureOfField n, MEDCouplingTimeD MEDCouplingFieldDouble::MEDCouplingFieldDouble(TypeOfField type, TypeOfTimeDiscretization td); MEDCouplingFieldDouble::MEDCouplingFieldDouble(const MEDCouplingFieldDouble& other, bool deepCopy); MEDCouplingFieldDouble::MEDCouplingFieldDouble(const MEDCouplingFieldTemplate& ft, TypeOfTimeDiscretization td); -MEDCouplingFieldDouble::applyFuncFast32(const char *func); -MEDCouplingFieldDouble::applyFuncFast64(const char *func); +MEDCouplingFieldDouble::applyFuncFast32(const std::string &func); +MEDCouplingFieldDouble::applyFuncFast64(const std::string &func); MEDCouplingFieldDouble::areCompatibleForDiv(const MEDCouplingField *other) const; MEDCouplingFieldDouble::areCompatibleForMeld(const MEDCouplingFieldDouble *other) const; MEDCouplingFieldDouble::areCompatibleForMerge(const MEDCouplingField *other) const; diff --git a/doc/doxygen/fakesources/MEDCouplingMemArray.C b/doc/user/doxygen/fakesources/MEDCouplingMemArray.C similarity index 99% rename from doc/doxygen/fakesources/MEDCouplingMemArray.C rename to doc/user/doxygen/fakesources/MEDCouplingMemArray.C index 76a5b7104..fa7bac3f8 100644 --- a/doc/doxygen/fakesources/MEDCouplingMemArray.C +++ b/doc/user/doxygen/fakesources/MEDCouplingMemArray.C @@ -219,7 +219,7 @@ DataArray::GetUnitFromInfo(const std::string& info); /*! \name Others... */ ///@{ -DataArray::getHeapMemorySize() const; +DataArray::getHeapMemorySizeWithoutChildren() const; DataArray::copyPartOfStringInfoFrom(const DataArray& other, const std::vector& compoIds); DataArray::copyPartOfStringInfoFrom2(const std::vector& compoIds, const DataArray& other); DataArray::areInfoEqualsIfNotWhy(const DataArray& other, std::string& reason) const; diff --git a/doc/doxygen/fakesources/MEDCouplingMesh.C b/doc/user/doxygen/fakesources/MEDCouplingMesh.C similarity index 100% rename from doc/doxygen/fakesources/MEDCouplingMesh.C rename to doc/user/doxygen/fakesources/MEDCouplingMesh.C diff --git a/doc/doxygen/fakesources/MEDCouplingPointSet.C b/doc/user/doxygen/fakesources/MEDCouplingPointSet.C similarity index 100% rename from doc/doxygen/fakesources/MEDCouplingPointSet.C rename to doc/user/doxygen/fakesources/MEDCouplingPointSet.C diff --git a/doc/doxygen/fakesources/MEDCouplingUMesh.C b/doc/user/doxygen/fakesources/MEDCouplingUMesh.C similarity index 100% rename from doc/doxygen/fakesources/MEDCouplingUMesh.C rename to doc/user/doxygen/fakesources/MEDCouplingUMesh.C diff --git a/doc/doxygen/fakesources/MEDFileField.C b/doc/user/doxygen/fakesources/MEDFileField.C similarity index 100% rename from doc/doxygen/fakesources/MEDFileField.C rename to doc/user/doxygen/fakesources/MEDFileField.C diff --git a/doc/doxygen/fakesources/MEDFileMesh.C b/doc/user/doxygen/fakesources/MEDFileMesh.C similarity index 100% rename from doc/doxygen/fakesources/MEDFileMesh.C rename to doc/user/doxygen/fakesources/MEDFileMesh.C diff --git a/doc/user/doxygen/fakesources/namespaces.C b/doc/user/doxygen/fakesources/namespaces.C new file mode 100644 index 000000000..d14e85718 --- /dev/null +++ b/doc/user/doxygen/fakesources/namespaces.C @@ -0,0 +1,37 @@ +// Copyright (C) 2013-2015 CEA/DEN, EDF R&D, OPEN CASCADE +// +// This library is free software; you can redistribute it and/or +// modify it under the terms of the GNU Lesser General Public +// License as published by the Free Software Foundation; either +// version 2.1 of the License, or (at your option) any later version. +// +// This library is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// Lesser General Public License for more details. +// +// You should have received a copy of the GNU Lesser General Public +// License along with this library; if not, write to the Free Software +// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA +// +// See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com +// + +// This file contains code used only for +// generation of documentation. Not working? + +/*! + * \namespace INTERP_KERNEL + * \brief Low level structures and algorithms used in MEDCoupling. Not considered as part of the public API. + */ + +/*! + * \namespace ParaMEDMEM + * \brief Namespace gathering the core MEDCoupling functionalities, the advanced MEDLoader classes and the parallel classes. + */ + +/*! + * \namespace ICoCo + * \brief Interface for COde COupling. See the page \ref icoco. + */ + diff --git a/doc/user/doxygen/figures/IndirectIndex.jpg b/doc/user/doxygen/figures/IndirectIndex.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dd4aceff9ac8cb4ca8ef4e14421d8a3a567cbf76 GIT binary patch literal 16749 zcmb`u1z1$y*DpRaN{J{4LxZ9cO2-f?rKE_|P{PpN-Ab3Vv~&zLz|birEj7f@F?4s| z(eLm3i~HR7f8YB){{zo{&e><5v-Vl*vp#F>nA?fldB8mxsdrKU3=9l_A^Hz+iv)-R zaImnkv9WN_1r81lE*>F19{M05Ah<(FN^<``DG4bl896lt*#oMFq@<4+9#PTI(9zM6 zQ7|$y(lS%i($W5Y2?qL6JX}0te0*Zs2c!>Z|DTWB762(eU>(yC3xg4WNs56*igDWx zpax(7Ffp+(0RK90@UU?)u<$X_ch&C!Ft9N&F>!G4iScl7aj|~4#=^$ICB4spN5=VD z>A^!rt`Q0qRXtnZs5pFbCLX>wA3o|kMweF%bMx{mL+l)w#WP@)Pb3WN{jwej7&^u5 zwf-3TEf=jIv{-cc&jSMs6a8j9eDqy0QValEEFKmCCN?(SpB5NsxuiJvA26V$;^IZ2 zwZp~DgBA;0Am3BA%NSx3|Io_J`^K;Q$NudUfDrvfn50;w05QM`n30~55qIGsSyaU^ zF?9VFpt9Cr1&8~LsP}mSxr9>HwGB(7@{FWTD+2;)rWap}`e0f14E&}LKR>#roV?jX8XA7_rjir!U>HtxEg|EJ&B%;f0xCO{=`G$Tl 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rename to doc/user/doxygen/static/footer.html diff --git a/doc/doxygen/static/header.html.in b/doc/user/doxygen/static/header.html.in similarity index 100% rename from doc/doxygen/static/header.html.in rename to doc/user/doxygen/static/header.html.in diff --git a/doc/doxygen/static/salome_extra.css b/doc/user/doxygen/static/salome_extra.css similarity index 100% rename from doc/doxygen/static/salome_extra.css rename to doc/user/doxygen/static/salome_extra.css diff --git a/src/INTERP_KERNEL/Geometric2D/InterpKernelGeo2DComposedEdge.cxx b/src/INTERP_KERNEL/Geometric2D/InterpKernelGeo2DComposedEdge.cxx index 444aefe3d..9c310bbca 100644 --- a/src/INTERP_KERNEL/Geometric2D/InterpKernelGeo2DComposedEdge.cxx +++ b/src/INTERP_KERNEL/Geometric2D/InterpKernelGeo2DComposedEdge.cxx @@ -51,6 +51,7 @@ void ComposedEdge::setValueAt(int i, Edge *e, bool direction) *it=new ElementaryEdge(e,direction); } +/*! \cond HIDDEN_ITEMS */ struct AbsEdgeCmp { AbsEdgeCmp(ElementaryEdge *b):_b1(b) { } @@ -58,6 +59,7 @@ struct AbsEdgeCmp ElementaryEdge *_b1; }; +/*! \endcond */ double ComposedEdge::getCommonLengthWith(const ComposedEdge& other) const { diff --git a/src/INTERP_KERNEL/Interpolation3D.cxx b/src/INTERP_KERNEL/Interpolation3D.cxx index 932fde926..16bd09cc0 100644 --- a/src/INTERP_KERNEL/Interpolation3D.cxx +++ b/src/INTERP_KERNEL/Interpolation3D.cxx @@ -24,7 +24,6 @@ namespace INTERP_KERNEL { /** - * \defgroup interpolation3D Interpolation3D * \class Interpolation3D * \brief Class used to calculate the volumes of intersection between the elements of two 3D meshes. * diff --git a/src/INTERP_KERNEL/Interpolation3D.txx b/src/INTERP_KERNEL/Interpolation3D.txx index 4a09787c5..bc68b525c 100644 --- a/src/INTERP_KERNEL/Interpolation3D.txx +++ b/src/INTERP_KERNEL/Interpolation3D.txx @@ -36,7 +36,7 @@ #include "PointLocator3DIntersectorP1P1.txx" #include "Barycentric3DIntersectorP1P1.txx" #include "Log.hxx" -/// If defined, use recursion to traverse the binary search tree, else use the BBTree class +// If defined, use recursion to traverse the binary search tree, else use the BBTree class //#define USE_RECURSIVE_BBOX_FILTER #ifdef USE_RECURSIVE_BBOX_FILTER diff --git a/src/INTERP_KERNEL/Interpolation3D2D.cxx b/src/INTERP_KERNEL/Interpolation3D2D.cxx index 81729979c..4e8cee7f7 100644 --- a/src/INTERP_KERNEL/Interpolation3D2D.cxx +++ b/src/INTERP_KERNEL/Interpolation3D2D.cxx @@ -21,12 +21,6 @@ namespace INTERP_KERNEL { - /** - * \defgroup interpolation3D Interpolation3D - * \class Interpolation3D - * \brief Class used to calculate the volumes of intersection between the elements of two 3D meshes. - * - */ /** * Default constructor * diff --git a/src/INTERP_KERNEL/PlanarIntersector.hxx b/src/INTERP_KERNEL/PlanarIntersector.hxx index 55edd4366..b0662104c 100644 --- a/src/INTERP_KERNEL/PlanarIntersector.hxx +++ b/src/INTERP_KERNEL/PlanarIntersector.hxx @@ -41,9 +41,7 @@ namespace INTERP_KERNEL static const NumberingPolicy numPol=MyMeshType::My_numPol; typedef typename std::map > DuplicateFacesType; public: - //! \addtogroup InterpKerGrpIntPlan @{ PlanarIntersector(const MyMeshType& meshT, const MyMeshType& meshS, double dimCaracteristic, double precision, double md3DSurf, double minDot3DSurf, double medianPlane, bool doRotate, int orientation, int printLevel); - //! @} virtual ~PlanarIntersector(); void createBoundingBoxes(const MyMeshType& mesh, std::vector& bbox); void adjustBoundingBoxes(std::vector& bbox, double surf3DAdjustmentEps, double surf3DAdjustmentEpsAbs); diff --git a/src/INTERP_KERNEL/TargetIntersector.hxx b/src/INTERP_KERNEL/TargetIntersector.hxx index b580ca912..e79d1e747 100644 --- a/src/INTERP_KERNEL/TargetIntersector.hxx +++ b/src/INTERP_KERNEL/TargetIntersector.hxx @@ -38,10 +38,6 @@ namespace INTERP_KERNEL public: typedef typename MyMeshType::MyConnType ConnType; public: - /*! - * \addtogroup InterpKerGrpIntPlan - * @{ - */ /*! * Tool for cell intersection, result is always positive. * @param icellT id of cell in target mesh in \b C \b mode. @@ -49,8 +45,7 @@ namespace INTERP_KERNEL * @param res is an IN/OUT parameter that represents the icellTth row in final matrix, fed with at most icellsS elements. */ virtual void intersectCells(ConnType targetCell, const std::vector& srcCells, MyMatrix& res) = 0; - //! @} - //Tool for cell filtering + virtual int getNumberOfRowsOfResMatrix() const = 0; virtual int getNumberOfColsOfResMatrix() const = 0; virtual ~TargetIntersector() { } diff --git a/src/MEDCoupling/MEDCoupling1GTUMesh.cxx b/src/MEDCoupling/MEDCoupling1GTUMesh.cxx index eb0db7da8..38eae7a7e 100644 --- a/src/MEDCoupling/MEDCoupling1GTUMesh.cxx +++ b/src/MEDCoupling/MEDCoupling1GTUMesh.cxx @@ -1118,7 +1118,7 @@ void MEDCoupling1SGTUMesh::renumberNodesInConn(const INTERP_KERNEL::HashMapgetNumberOfNodes(), in "Old to New" mode. - * See \ref MEDCouplingArrayRenumbering for more info on renumbering modes. + * See \ref numbering for more info on renumbering modes. * \throw If the nodal connectivity of cells is not defined. */ void MEDCoupling1SGTUMesh::renumberNodesInConn(const int *newNodeNumbersO2N) @@ -3195,7 +3195,7 @@ void MEDCoupling1DGTUMesh::renumberNodesInConn(const INTERP_KERNEL::HashMapgetNumberOfNodes(), in "Old to New" mode. - * See \ref MEDCouplingArrayRenumbering for more info on renumbering modes. + * See \ref numbering for more info on renumbering modes. * \throw If the nodal connectivity of cells is not defined. */ void MEDCoupling1DGTUMesh::renumberNodesInConn(const int *newNodeNumbersO2N) diff --git a/src/MEDCoupling/MEDCouplingField.cxx b/src/MEDCoupling/MEDCouplingField.cxx index 52164a9ad..463a44bbb 100644 --- a/src/MEDCoupling/MEDCouplingField.cxx +++ b/src/MEDCoupling/MEDCouplingField.cxx @@ -366,7 +366,8 @@ void MEDCouplingField::clearGaussLocalizations() * problem. * \param [in] locId - the id of the Gauss localization object of interest. * It must be in range 0 <= locId < getNbOfGaussLocalization() . - * \return \ref MEDCouplingGaussLocalization & - the Gauss localization object. + * \return \ref ParaMEDMEM::MEDCouplingGaussLocalization "MEDCouplingGaussLocalization" & - the + * Gauss localization object. * \throw If \a this field is not on Gauss points. * \throw If \a locId is not within the valid range. * \throw If the spatial discretization of \a this field is NULL. @@ -460,7 +461,7 @@ void MEDCouplingField::getCellIdsHavingGaussLocalization(int locId, std::vector< * \warning This method is const, so the returned object is not apt for modification. * \param [in] locId - the id of the Gauss localization object of interest. * It must be in range 0 <= locId < getNbOfGaussLocalization() . - * \return \ref const MEDCouplingGaussLocalization & - the Gauss localization object. + * \return const \ref MEDCouplingGaussLocalization & - the Gauss localization object. * \throw If \a this field is not on Gauss points. * \throw If \a locId is not within the valid range. * \throw If the spatial discretization of \a this field is NULL. diff --git a/src/MEDCoupling/MEDCouplingFieldDouble.cxx b/src/MEDCoupling/MEDCouplingFieldDouble.cxx index b62261758..23d1314c6 100644 --- a/src/MEDCoupling/MEDCouplingFieldDouble.cxx +++ b/src/MEDCoupling/MEDCouplingFieldDouble.cxx @@ -1866,7 +1866,7 @@ void MEDCouplingFieldDouble::applyFuncFast64(const std::string& func) /*! * Returns number of components in the data array. For more info on the data arrays, - * see \ref MEDCouplingArrayPage. + * see \ref arrays. * \return int - the number of components in the data array. * \throw If the data array is not set. */ @@ -1894,7 +1894,7 @@ int MEDCouplingFieldDouble::getNumberOfComponents() const * So \b this \b method \b behaves \b exactly \b as MEDCouplingField::getNumberOfTuplesExpected \b method. * * \warning No checkCoherency() is done here. - * For more info on the data arrays, see \ref MEDCouplingArrayPage. + * For more info on the data arrays, see \ref arrays. * \return int - the number of tuples. * \throw If the mesh is not set. * \throw If the spatial discretization of \a this field is NULL. @@ -1913,7 +1913,7 @@ int MEDCouplingFieldDouble::getNumberOfTuples() const /*! * Returns number of atomic double values in the data array of \a this field. - * For more info on the data arrays, see \ref MEDCouplingArrayPage. + * For more info on the data arrays, see \ref arrays. * \return int - (number of tuples) * (number of components) of the * data array. * \throw If the data array is not set. diff --git a/src/MEDCoupling/MEDCouplingMemArray.cxx b/src/MEDCoupling/MEDCouplingMemArray.cxx index ee5145483..751741283 100644 --- a/src/MEDCoupling/MEDCouplingMemArray.cxx +++ b/src/MEDCoupling/MEDCouplingMemArray.cxx @@ -903,7 +903,7 @@ void DataArrayDouble::pushBackSilent(double val) * This method adds at the end of \a this a serie of values [\c valsBg,\c valsEnd). This method do \b not update its time label to avoid useless incrementation * of counter. So the caller is expected to call TimeLabel::declareAsNew on \a this at the end of the push session. * - * \param [in] valsBg - an array of values to push at the end of \this. + * \param [in] valsBg - an array of values to push at the end of \c this. * \param [in] valsEnd - specifies the end of the array \a valsBg, so that * the last value of \a valsBg is \a valsEnd[ -1 ]. * \throw If \a this has already been allocated with number of components different from one. @@ -1447,9 +1447,9 @@ DataArrayDouble *DataArrayDouble::toNoInterlace() const /*! * Permutes values of \a this array as required by \a old2New array. The values are * permuted so that \c new[ \a old2New[ i ]] = \c old[ i ]. Number of tuples remains - * the same as in \this one. + * the same as in \c this one. * If a permutation reduction is needed, substr() or selectByTupleId() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old value. */ @@ -1479,8 +1479,8 @@ void DataArrayDouble::renumberInPlace(const int *old2New) /*! * Permutes values of \a this array as required by \a new2Old array. The values are * permuted so that \c new[ i ] = \c old[ \a new2Old[ i ]]. Number of tuples remains - * the same as in \this one. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * the same as in \c this one. + * For more info on renumbering see \ref numbering. * \param [in] new2Old - C array of length equal to \a this->getNumberOfTuples() * giving a previous position of i-th new value. * \return DataArrayDouble * - the new instance of DataArrayDouble that the caller @@ -1512,9 +1512,9 @@ void DataArrayDouble::renumberInPlaceR(const int *new2Old) /*! * Returns a copy of \a this array with values permuted as required by \a old2New array. * The values are permuted so that \c new[ \a old2New[ i ]] = \c old[ i ]. - * Number of tuples in the result array remains the same as in \this one. + * Number of tuples in the result array remains the same as in \c this one. * If a permutation reduction is needed, renumberAndReduce() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old value. * \return DataArrayDouble * - the new instance of DataArrayDouble that the caller @@ -1540,9 +1540,9 @@ DataArrayDouble *DataArrayDouble::renumber(const int *old2New) const /*! * Returns a copy of \a this array with values permuted as required by \a new2Old array. * The values are permuted so that \c new[ i ] = \c old[ \a new2Old[ i ]]. Number of - * tuples in the result array remains the same as in \this one. + * tuples in the result array remains the same as in \c this one. * If a permutation reduction is needed, substr() or selectByTupleId() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2Old - C array of length equal to \a this->getNumberOfTuples() * giving a previous position of i-th new value. * \return DataArrayDouble * - the new instance of DataArrayDouble that the caller @@ -1570,7 +1570,7 @@ DataArrayDouble *DataArrayDouble::renumberR(const int *new2Old) const * The values are permuted so that \c new[ \a old2New[ i ]] = \c old[ i ] for all * \a old2New[ i ] >= 0. In other words every i-th tuple in \a this array, for which * \a old2New[ i ] is negative, is missing from the result array. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old tuple and giving negative position for * for i-th old tuple that should be omitted. @@ -1603,7 +1603,7 @@ DataArrayDouble *DataArrayDouble::renumberAndReduce(const int *old2New, int newN * The values are permuted so that \c new[ i ] = \c old[ \a new2OldBg[ i ]]. * This method is equivalent to renumberAndReduce() except that convention in input is * \c new2old and \b not \c old2new. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2OldBg - pointer to the beginning of a permutation array that gives a * tuple index in \a this array to fill the i-th tuple in the new array. * \param [in] new2OldEnd - specifies the end of the permutation array that starts at @@ -1637,7 +1637,7 @@ DataArrayDouble *DataArrayDouble::selectByTupleId(const int *new2OldBg, const in * \c new2old and \b not \c old2new. * This method is equivalent to selectByTupleId() except that it prevents coping data * from behind the end of \a this array. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2OldBg - pointer to the beginning of a permutation array that gives a * tuple index in \a this array to fill the i-th tuple in the new array. * \param [in] new2OldEnd - specifies the end of the permutation array that starts at @@ -1674,7 +1674,7 @@ DataArrayDouble *DataArrayDouble::selectByTupleIdSafe(const int *new2OldBg, cons * command \c range( \a bg, \a end2, \a step ). * This method is equivalent to selectByTupleIdSafe() except that the input array is * not constructed explicitly. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] bg - index of the first tuple to copy from \a this array. * \param [in] end2 - index of the tuple before which the tuples to copy are located. * \param [in] step - index increment to get index of the next tuple to copy. @@ -1700,7 +1700,7 @@ DataArrayDouble *DataArrayDouble::selectByTupleId2(int bg, int end2, int step) c /*! * Returns a shorten copy of \a this array. The new DataArrayDouble contains ranges * of tuples specified by \a ranges parameter. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] ranges - std::vector of std::pair's each of which defines a range * of tuples in [\c begin,\c end) format. * \return DataArrayDouble * - the new instance of DataArrayDouble that the caller @@ -2385,7 +2385,7 @@ void DataArrayDouble::setPartOfValues1(const DataArrayDouble *a, int bgTuples, i * \throw If \a this is not allocated. * \throw If parameters specifying tuples and components to assign to, do not give a * non-empty range of increasing indices or indices are out of a valid range - * for \this array. + * for \c this array. * * \if ENABLE_EXAMPLES * \ref py_mcdataarraydouble_setpartofvaluessimple1 "Here is a Python example". @@ -2576,7 +2576,7 @@ void DataArrayDouble::setPartOfValuesSimple2(double a, const int *bgTuples, cons * defined by (bgComp,endComp,stepComp). * \throw If parameters specifying components to assign to, do not give a * non-empty range of increasing indices or indices are out of a valid range - * for \this array. + * for \c this array. * * \if ENABLE_EXAMPLES * \ref py_mcdataarraydouble_setpartofvalues3 "Here is a Python example". @@ -2650,7 +2650,7 @@ void DataArrayDouble::setPartOfValues3(const DataArrayDouble *a, const int *bgTu * \a this array. * \throw If parameters specifying components to assign to, do not give a * non-empty range of increasing indices or indices are out of a valid range - * for \this array. + * for \c this array. * * \if ENABLE_EXAMPLES * \ref py_mcdataarraydouble_setpartofvaluessimple3 "Here is a Python example". @@ -6090,7 +6090,7 @@ void DataArrayInt::pushBackSilent(int val) * This method adds at the end of \a this a serie of values [\c valsBg,\c valsEnd). This method do \b not update its time label to avoid useless incrementation * of counter. So the caller is expected to call TimeLabel::declareAsNew on \a this at the end of the push session. * - * \param [in] valsBg - an array of values to push at the end of \this. + * \param [in] valsBg - an array of values to push at the end of \c this. * \param [in] valsEnd - specifies the end of the array \a valsBg, so that * the last value of \a valsBg is \a valsEnd[ -1 ]. * \throw If \a this has already been allocated with number of components different from one. @@ -6653,7 +6653,7 @@ DataArrayInt *DataArrayInt::transformWithIndArrR(const int *indArrBg, const int * Creates a one-dimensional DataArrayInt of given length, whose contents are computed * from values of \a this array, which is supposed to contain a renumbering map in * "Old to New" mode. The result array contains a renumbering map in "New to Old" mode. - * To know how to use the renumbering maps see \ref MEDCouplingArrayRenumbering. + * To know how to use the renumbering maps see \ref numbering. * \param [in] newNbOfElem - the number of tuples in the result array. * \return DataArrayInt * - the new instance of DataArrayInt. * The caller is to delete this result array using decrRef() as it is no more @@ -6720,7 +6720,7 @@ DataArrayInt *DataArrayInt::invertArrayO2N2N2OBis(int newNbOfElem) const * Creates a one-dimensional DataArrayInt of given length, whose contents are computed * from values of \a this array, which is supposed to contain a renumbering map in * "New to Old" mode. The result array contains a renumbering map in "Old to New" mode. - * To know how to use the renumbering maps see \ref MEDCouplingArrayRenumbering. + * To know how to use the renumbering maps see \ref numbering. * \param [in] newNbOfElem - the number of tuples in the result array. * \return DataArrayInt * - the new instance of DataArrayInt. * The caller is to delete this result array using decrRef() as it is no more @@ -7157,9 +7157,9 @@ DataArrayInt *DataArrayInt::toNoInterlace() const /*! * Permutes values of \a this array as required by \a old2New array. The values are * permuted so that \c new[ \a old2New[ i ]] = \c old[ i ]. Number of tuples remains - * the same as in \this one. + * the same as in \c this one. * If a permutation reduction is needed, substr() or selectByTupleId() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old value. */ @@ -7189,8 +7189,8 @@ void DataArrayInt::renumberInPlace(const int *old2New) /*! * Permutes values of \a this array as required by \a new2Old array. The values are * permuted so that \c new[ i ] = \c old[ \a new2Old[ i ]]. Number of tuples remains - * the same as in \this one. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * the same as in \c this one. + * For more info on renumbering see \ref numbering. * \param [in] new2Old - C array of length equal to \a this->getNumberOfTuples() * giving a previous position of i-th new value. * \return DataArrayInt * - the new instance of DataArrayInt that the caller @@ -7222,9 +7222,9 @@ void DataArrayInt::renumberInPlaceR(const int *new2Old) /*! * Returns a copy of \a this array with values permuted as required by \a old2New array. * The values are permuted so that \c new[ \a old2New[ i ]] = \c old[ i ]. - * Number of tuples in the result array remains the same as in \this one. + * Number of tuples in the result array remains the same as in \c this one. * If a permutation reduction is needed, renumberAndReduce() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old value. * \return DataArrayInt * - the new instance of DataArrayInt that the caller @@ -7250,9 +7250,9 @@ DataArrayInt *DataArrayInt::renumber(const int *old2New) const /*! * Returns a copy of \a this array with values permuted as required by \a new2Old array. * The values are permuted so that \c new[ i ] = \c old[ \a new2Old[ i ]]. Number of - * tuples in the result array remains the same as in \this one. + * tuples in the result array remains the same as in \c this one. * If a permutation reduction is needed, substr() or selectByTupleId() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2Old - C array of length equal to \a this->getNumberOfTuples() * giving a previous position of i-th new value. * \return DataArrayInt * - the new instance of DataArrayInt that the caller @@ -7280,7 +7280,7 @@ DataArrayInt *DataArrayInt::renumberR(const int *new2Old) const * The values are permuted so that \c new[ \a old2New[ i ]] = \c old[ i ] for all * \a old2New[ i ] >= 0. In other words every i-th tuple in \a this array, for which * \a old2New[ i ] is negative, is missing from the result array. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old tuple and giving negative position for * for i-th old tuple that should be omitted. @@ -7313,7 +7313,7 @@ DataArrayInt *DataArrayInt::renumberAndReduce(const int *old2New, int newNbOfTup * The values are permuted so that \c new[ i ] = \c old[ \a new2OldBg[ i ]]. * This method is equivalent to renumberAndReduce() except that convention in input is * \c new2old and \b not \c old2new. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2OldBg - pointer to the beginning of a permutation array that gives a * tuple index in \a this array to fill the i-th tuple in the new array. * \param [in] new2OldEnd - specifies the end of the permutation array that starts at @@ -7347,7 +7347,7 @@ DataArrayInt *DataArrayInt::selectByTupleId(const int *new2OldBg, const int *new * \c new2old and \b not \c old2new. * This method is equivalent to selectByTupleId() except that it prevents coping data * from behind the end of \a this array. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2OldBg - pointer to the beginning of a permutation array that gives a * tuple index in \a this array to fill the i-th tuple in the new array. * \param [in] new2OldEnd - specifies the end of the permutation array that starts at @@ -7384,7 +7384,7 @@ DataArrayInt *DataArrayInt::selectByTupleIdSafe(const int *new2OldBg, const int * command \c range( \a bg, \a end2, \a step ). * This method is equivalent to selectByTupleIdSafe() except that the input array is * not constructed explicitly. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] bg - index of the first tuple to copy from \a this array. * \param [in] end2 - index of the tuple before which the tuples to copy are located. * \param [in] step - index increment to get index of the next tuple to copy. @@ -7410,7 +7410,7 @@ DataArrayInt *DataArrayInt::selectByTupleId2(int bg, int end2, int step) const /*! * Returns a shorten copy of \a this array. The new DataArrayInt contains ranges * of tuples specified by \a ranges parameter. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] ranges - std::vector of std::pair's each of which defines a range * of tuples in [\c begin,\c end) format. * \return DataArrayInt * - the new instance of DataArrayInt that the caller @@ -7478,7 +7478,7 @@ DataArray *DataArrayInt::selectByTupleRanges(const std::vectorrenumber(\a res) then the returned array contains [0,3,4,6,7,9,10,11]. * This method is useful for renumbering (in MED file for example). For more info - * on renumbering see \ref MEDCouplingArrayRenumbering. + * on renumbering see \ref numbering. * \return DataArrayInt * - a new instance of DataArrayInt. The caller is to delete this * array using decrRef() as it is no more needed. * \throw If \a this is not allocated. @@ -7546,7 +7546,7 @@ DataArrayInt *DataArrayInt::FindPermutationFromFirstToSecond(const DataArrayInt * place in the set \a B. The second out array is the index of the first one; it shows how * many elements of \a A are mapped into each element of \a B.
* For more info on - * mapping and its usage in renumbering see \ref MEDCouplingArrayRenumbering.
+ * mapping and its usage in renumbering see \ref numbering.
* \b Example: * - \a this: [0,3,2,3,2,2,1,2] * - \a targetNb: 4 @@ -7613,7 +7613,7 @@ void DataArrayInt::changeSurjectiveFormat(int targetNb, DataArrayInt *&arr, Data * from a zip representation of a surjective format (returned e.g. by * \ref ParaMEDMEM::DataArrayDouble::findCommonTuples() "DataArrayDouble::findCommonTuples()" * for example). The result array minimizes the permutation.
- * For more info on renumbering see \ref MEDCouplingArrayRenumbering.
+ * For more info on renumbering see \ref numbering.
* \b Example:
* - \a nbOfOldTuples: 10 * - \a arr : [0,3, 5,7,9] @@ -7674,7 +7674,7 @@ DataArrayInt *DataArrayInt::BuildOld2NewArrayFromSurjectiveFormat2(int nbOfOldTu /*! * Returns a new DataArrayInt containing a renumbering map in "New to Old" mode, * which if applied to \a this array would make it sorted ascendingly. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering.
+ * For more info on renumbering see \ref numbering.
* \b Example:
* - \a this: [2,0,1,1,0,1,2,0,1,1,0,0] * - result: [10,0,5,6,1,7,11,2,8,9,3,4] @@ -8150,7 +8150,7 @@ void DataArrayInt::setPartOfValues1(const DataArrayInt *a, int bgTuples, int end * \throw If \a this is not allocated. * \throw If parameters specifying tuples and components to assign to, do not give a * non-empty range of increasing indices or indices are out of a valid range - * for \this array. + * for \c this array. * * \if ENABLE_EXAMPLES * \ref py_mcdataarrayint_setpartofvaluessimple1 "Here is a Python example". @@ -8342,7 +8342,7 @@ void DataArrayInt::setPartOfValuesSimple2(int a, const int *bgTuples, const int * defined by (bgComp,endComp,stepComp). * \throw If parameters specifying components to assign to, do not give a * non-empty range of increasing indices or indices are out of a valid range - * for \this array. + * for \c this array. * * \if ENABLE_EXAMPLES * \ref py_mcdataarrayint_setpartofvalues3 "Here is a Python example". @@ -8416,7 +8416,7 @@ void DataArrayInt::setPartOfValues3(const DataArrayInt *a, const int *bgTuples, * \a this array. * \throw If parameters specifying components to assign to, do not give a * non-empty range of increasing indices or indices are out of a valid range - * for \this array. + * for \c this array. * * \if ENABLE_EXAMPLES * \ref py_mcdataarrayint_setpartofvaluessimple3 "Here is a Python example". diff --git a/src/MEDCoupling/MEDCouplingMemArrayChar.cxx b/src/MEDCoupling/MEDCouplingMemArrayChar.cxx index e3da0c959..59d29b2aa 100644 --- a/src/MEDCoupling/MEDCouplingMemArrayChar.cxx +++ b/src/MEDCoupling/MEDCouplingMemArrayChar.cxx @@ -380,7 +380,7 @@ DataArrayInt *DataArrayChar::convertToIntArr() const * permuted so that \c new[ \a old2New[ i ]] = \c old[ i ]. Number of tuples remains * the same as in \this one. * If a permutation reduction is needed, substr() or selectByTupleId() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old value. */ @@ -402,7 +402,7 @@ void DataArrayChar::renumberInPlace(const int *old2New) * Permutes values of \a this array as required by \a new2Old array. The values are * permuted so that \c new[ i ] = \c old[ \a new2Old[ i ]]. Number of tuples remains * the same as in \this one. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2Old - C array of length equal to \a this->getNumberOfTuples() * giving a previous position of i-th new value. */ @@ -425,7 +425,7 @@ void DataArrayChar::renumberInPlaceR(const int *new2Old) * The values are permuted so that \c new[ \a old2New[ i ]] = \c old[ i ]. * Number of tuples in the result array remains the same as in \this one. * If a permutation reduction is needed, renumberAndReduce() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old value. * \return DataArrayChar * - the new instance of DataArrayChar that the caller @@ -453,7 +453,7 @@ DataArrayChar *DataArrayChar::renumber(const int *old2New) const * The values are permuted so that \c new[ i ] = \c old[ \a new2Old[ i ]]. Number of * tuples in the result array remains the same as in \this one. * If a permutation reduction is needed, substr() or selectByTupleId() should be used. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2Old - C array of length equal to \a this->getNumberOfTuples() * giving a previous position of i-th new value. * \return DataArrayChar * - the new instance of DataArrayChar that the caller @@ -481,7 +481,7 @@ DataArrayChar *DataArrayChar::renumberR(const int *new2Old) const * The values are permuted so that \c new[ \a old2New[ i ]] = \c old[ i ] for all * \a old2New[ i ] >= 0. In other words every i-th tuple in \a this array, for which * \a old2New[ i ] is negative, is missing from the result array. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] old2New - C array of length equal to \a this->getNumberOfTuples() * giving a new position for i-th old tuple and giving negative position for * for i-th old tuple that should be omitted. @@ -514,7 +514,7 @@ DataArrayChar *DataArrayChar::renumberAndReduce(const int *old2New, int newNbOfT * The values are permuted so that \c new[ i ] = \c old[ \a new2OldBg[ i ]]. * This method is equivalent to renumberAndReduce() except that convention in input is * \c new2old and \b not \c old2new. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2OldBg - pointer to the beginning of a permutation array that gives a * tuple index in \a this array to fill the i-th tuple in the new array. * \param [in] new2OldEnd - specifies the end of the permutation array that starts at @@ -537,7 +537,7 @@ DataArrayChar *DataArrayChar::selectByTupleId(const int *new2OldBg, const int *n * \c new2old and \b not \c old2new. * This method is equivalent to selectByTupleId() except that it prevents coping data * from behind the end of \a this array. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] new2OldBg - pointer to the beginning of a permutation array that gives a * tuple index in \a this array to fill the i-th tuple in the new array. * \param [in] new2OldEnd - specifies the end of the permutation array that starts at @@ -574,7 +574,7 @@ DataArrayChar *DataArrayChar::selectByTupleIdSafe(const int *new2OldBg, const in * command \c range( \a bg, \a end2, \a step ). * This method is equivalent to selectByTupleIdSafe() except that the input array is * not constructed explicitly. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] bg - index of the first tuple to copy from \a this array. * \param [in] end2 - index of the tuple before which the tuples to copy are located. * \param [in] step - index increment to get index of the next tuple to copy. @@ -1417,7 +1417,7 @@ void DataArrayChar::setContigPartOfSelectedValues2(int tupleIdStart, const DataA /*! * Returns a shorten copy of \a this array. The new DataArrayChar contains ranges * of tuples specified by \a ranges parameter. - * For more info on renumbering see \ref MEDCouplingArrayRenumbering. + * For more info on renumbering see \ref numbering. * \param [in] ranges - std::vector of std::pair's each of which defines a range * of tuples in [\c begin,\c end) format. * \return DataArrayChar * - the new instance of DataArrayChar that the caller diff --git a/src/MEDCoupling/MEDCouplingPointSet.cxx b/src/MEDCoupling/MEDCouplingPointSet.cxx index 141154de3..4793b7993 100644 --- a/src/MEDCoupling/MEDCouplingPointSet.cxx +++ b/src/MEDCoupling/MEDCouplingPointSet.cxx @@ -256,7 +256,7 @@ void MEDCouplingPointSet::getCoordinatesOfNode(int nodeId, std::vector& * \param [out] areNodesMerged - is set to \a true if any coincident nodes found. * \param [out] newNbOfNodes - returns number of unique nodes. * \return DataArrayInt * - the permutation array in "Old to New" mode. For more - * info on "Old to New" mode see \ref MEDCouplingArrayRenumbering. The caller + * info on "Old to New" mode see \ref numbering. The caller * is to delete this array using decrRef() as it is no more needed. * \throw If the coordinates array is not set. */ @@ -274,8 +274,7 @@ DataArrayInt *MEDCouplingPointSet::buildPermArrayForMergeNode(double precision, /*! * Finds nodes coincident within \a prec tolerance. - * Ids of coincident nodes are stored in output arrays. - * A pair of arrays (\a comm, \a commIndex) is called "Surjective Format 2". + * Ids of coincident nodes are stored in output arrays in the \ref numbering-indirect format. * \param [in] prec - minimal absolute distance (using infinite norm) between two nodes at which they are * considered not coincident. * \param [in] limitNodeId - limit node id. If all nodes within a group of coincident @@ -286,7 +285,7 @@ DataArrayInt *MEDCouplingPointSet::buildPermArrayForMergeNode(double precision, * \a comm->getNumberOfTuples() == \a commIndex->back(). The caller * is to delete this array using decrRef() as it is no more needed. * \param [out] commIndex - the array dividing all ids stored in \a comm into - * groups of (ids of) coincident nodes. Its every value is a tuple + * groups of (ids of) coincident nodes (\ref numbering-indirect). Its every value is a tuple * index where a next group of nodes begins. For example the second * group of nodes in \a comm is described by following range of indices: * [ \a commIndex[1], \a commIndex[2] ). \a commIndex->getNumberOfTuples()-1 @@ -340,11 +339,11 @@ DataArrayInt *MEDCouplingPointSet::getNodeIdsNearPoint(const double *pos, double * parameter. * \param [in] eps - the lowest distance between (using infinite norm) a point and a node at which the node is * not returned by this method. - * \param [out] c - array returning ids of nodes located closer than \a eps to the + * \param [out] c - array (\ref numbering-indirect) returning ids of nodes located closer than \a eps to the * given points. The caller * is to delete this array using decrRef() as it is no more needed. * \param [out] cI - for each i-th given point, the array specifies tuples of \a c - * holding ids of nodes close to the i-th point.
The i-th value of \a cI is an + * holding ids of nodes close to the i-th point (\ref numbering-indirect).
The i-th value of \a cI is an * index of tuple of \a c holding id of a first (if any) node close to the * i-th given point. Difference between the i-th and (i+1)-th value of \a cI * (i.e. \a cI[ i+1 ] - \a cI[ i ]) defines number of nodes close to the i-th @@ -369,8 +368,8 @@ void MEDCouplingPointSet::getNodeIdsNearPoints(const double *pos, int nbOfPoints } /*! - * @param comm in param in the same format than one returned by findCommonNodes method. - * @param commI in param in the same format than one returned by findCommonNodes method. + * @param comm in param in the same format than one returned by findCommonNodes method (\ref numbering-indirect). + * @param commI in param in the same format than one returned by findCommonNodes method (\ref numbering-indirect). * @return the old to new correspondance array. */ DataArrayInt *MEDCouplingPointSet::buildNewNumberingFromCommonNodesFormat(const DataArrayInt *comm, const DataArrayInt *commIndex, @@ -388,7 +387,7 @@ DataArrayInt *MEDCouplingPointSet::buildNewNumberingFromCommonNodesFormat(const * array is modified accordingly. * \param [in] newNodeNumbers - a permutation array, of length \a * this->getNumberOfNodes(), in "Old to New" mode. - * See \ref MEDCouplingArrayRenumbering for more info on renumbering modes. + * See \ref numbering for more info on renumbering modes. * \param [in] newNbOfNodes - number of nodes remaining after renumbering. * \throw If the coordinates array is not set. * \throw If the nodal connectivity of cells is not defined. @@ -415,7 +414,7 @@ void MEDCouplingPointSet::renumberNodes(const int *newNodeNumbers, int newNbOfNo * of merged nodes (whose new ids coincide) is changed to be at their barycenter. * \param [in] newNodeNumbers - a permutation array, of length \a * this->getNumberOfNodes(), in "Old to New" mode. - * See \ref MEDCouplingArrayRenumbering for more info on renumbering modes. + * See \ref numbering for more info on renumbering modes. * \param [in] newNbOfNodes - number of nodes remaining after renumbering, which is * actually one more than the maximal id in \a newNodeNumbers. * \throw If the coordinates array is not set. @@ -484,10 +483,12 @@ void MEDCouplingPointSet::zipCoords() traducer->decrRef(); } +/*! \cond HIDDEN_ITEMS */ struct MEDCouplingCompAbs { bool operator()(double x, double y) { return std::abs(x)getMeshDimension(), that bound cells of \a this mesh. In addition arrays * describing correspondence between cells of \a this and the result meshes are - * returned. The arrays \a desc and \a descIndx describe the descending connectivity, + * returned. The arrays \a desc and \a descIndx (\ref numbering-indirect) describe the descending connectivity, * i.e. enumerate cells of the result mesh bounding each cell of \a this mesh. The - * arrays \a revDesc and \a revDescIndx describe the reverse descending connectivity, + * arrays \a revDesc and \a revDescIndx (\ref numbering-indirect) describe the reverse descending connectivity, * i.e. enumerate cells of \a this mesh bounded by each cell of the result mesh. * \warning For speed reasons, this method does not check if node ids in the nodal * connectivity correspond to the size of node coordinates array. @@ -761,7 +761,7 @@ MEDCouplingUMesh *MEDCouplingUMesh::explode3DMeshTo1D(DataArrayInt *desc, DataAr * Creates a new MEDCouplingUMesh containing cells, of dimension one less than \a * this->getMeshDimension(), that bound cells of \a this mesh. In * addition arrays describing correspondence between cells of \a this and the result - * meshes are returned. The arrays \a desc and \a descIndx describe the descending + * meshes are returned. The arrays \a desc and \a descIndx (\ref numbering-indirect) describe the descending * connectivity, i.e. enumerate cells of the result mesh bounding each cell of \a this * mesh. This method differs from buildDescendingConnectivity() in that apart * from cell ids, \a desc returns mutual orientation of cells in \a this and the @@ -769,7 +769,7 @@ MEDCouplingUMesh *MEDCouplingUMesh::explode3DMeshTo1D(DataArrayInt *desc, DataAr * of two meshes is same, and a negative id means a reverse order of nodes. Since a * cell with id #0 can't be negative, the array \a desc returns ids in FORTRAN mode, * i.e. cell ids are one-based. - * Arrays \a revDesc and \a revDescIndx describe the reverse descending connectivity, + * Arrays \a revDesc and \a revDescIndx (\ref numbering-indirect) describe the reverse descending connectivity, * i.e. enumerate cells of \a this mesh bounded by each cell of the result mesh. * \warning For speed reasons, this method does not check if node ids in the nodal * connectivity correspond to the size of node coordinates array. @@ -815,13 +815,19 @@ MEDCouplingUMesh *MEDCouplingUMesh::buildDescendingConnectivity2(DataArrayInt *d /*! * \b WARNING this method do the assumption that connectivity lies on the coordinates set. - * For speed reasons no check of this will be done. This method calls MEDCouplingUMesh::buildDescendingConnectivity to compute the result. - * This method lists cell by cell in \b this which are its neighbors. To compute the result only connectivities are considered. + * For speed reasons no check of this will be done. This method calls + * MEDCouplingUMesh::buildDescendingConnectivity to compute the result. + * This method lists cell by cell in \b this which are its neighbors. To compute the result + * only connectivities are considered. * The neighbor cells of cell having id 'cellId' are neighbors[neighborsIndx[cellId]:neighborsIndx[cellId+1]]. + * The format of return is hence \ref numbering-indirect. * - * \param [out] neighbors is an array storing all the neighbors of all cells in \b this. This array is newly allocated and should be dealt by the caller. \b neighborsIndx 2nd output - * parameter allows to select the right part in this array. The number of tuples is equal to the last values in \b neighborsIndx. - * \param [out] neighborsIndx is an array of size this->getNumberOfCells()+1 newly allocated and should be dealt by the caller. This arrays allow to use the first output parameter \b neighbors. + * \param [out] neighbors is an array storing all the neighbors of all cells in \b this. This array is newly + * allocated and should be dealt by the caller. \b neighborsIndx 2nd output + * parameter allows to select the right part in this array (\ref numbering-indirect). The number of tuples + * is equal to the last values in \b neighborsIndx. + * \param [out] neighborsIndx is an array of size this->getNumberOfCells()+1 newly allocated and should be + * dealt by the caller. This arrays allow to use the first output parameter \b neighbors (\ref numbering-indirect). */ void MEDCouplingUMesh::computeNeighborsOfCells(DataArrayInt *&neighbors, DataArrayInt *&neighborsIndx) const { @@ -835,17 +841,21 @@ void MEDCouplingUMesh::computeNeighborsOfCells(DataArrayInt *&neighbors, DataArr } /*! - * This method is called by MEDCouplingUMesh::computeNeighborsOfCells. This methods performs the algorithm of MEDCouplingUMesh::computeNeighborsOfCells. - * This method is useful for users that want to reduce along a criterion the set of neighbours cell. This is typically the case to extract a set a neighbours, + * This method is called by MEDCouplingUMesh::computeNeighborsOfCells. This methods performs the algorithm + * of MEDCouplingUMesh::computeNeighborsOfCells. + * This method is useful for users that want to reduce along a criterion the set of neighbours cell. This is + * typically the case to extract a set a neighbours, * excluding a set of meshdim-1 cells in input descending connectivity. - * Typically \b desc, \b descIndx, \b revDesc and \b revDescIndx input params are the result of MEDCouplingUMesh::buildDescendingConnectivity. - * This method lists cell by cell in \b this which are its neighbors. To compute the result only connectivities are considered. + * Typically \b desc, \b descIndx, \b revDesc and \b revDescIndx (\ref numbering-indirect) input params are + * the result of MEDCouplingUMesh::buildDescendingConnectivity. + * This method lists cell by cell in \b this which are its neighbors. To compute the result only connectivities + * are considered. * The neighbor cells of cell having id 'cellId' are neighbors[neighborsIndx[cellId]:neighborsIndx[cellId+1]]. * * \param [in] desc descending connectivity array. - * \param [in] descIndx descending connectivity index array used to walk through \b desc. + * \param [in] descIndx descending connectivity index array used to walk through \b desc (\ref numbering-indirect). * \param [in] revDesc reverse descending connectivity array. - * \param [in] revDescIndx reverse descending connectivity index array used to walk through \b revDesc. + * \param [in] revDescIndx reverse descending connectivity index array used to walk through \b revDesc (\ref numbering-indirect). * \param [out] neighbors is an array storing all the neighbors of all cells in \b this. This array is newly allocated and should be dealt by the caller. \b neighborsIndx 2nd output * parameter allows to select the right part in this array. The number of tuples is equal to the last values in \b neighborsIndx. * \param [out] neighborsIndx is an array of size this->getNumberOfCells()+1 newly allocated and should be dealt by the caller. This arrays allow to use the first output parameter \b neighbors. @@ -882,13 +892,18 @@ void MEDCouplingUMesh::ComputeNeighborsOfCellsAdv(const DataArrayInt *desc, cons /*! * \b WARNING this method do the assumption that connectivity lies on the coordinates set. - * For speed reasons no check of this will be done. This method calls MEDCouplingUMesh::buildDescendingConnectivity to compute the result. - * This method lists node by node in \b this which are its neighbors. To compute the result only connectivities are considered. + * For speed reasons no check of this will be done. This method calls + * MEDCouplingUMesh::buildDescendingConnectivity to compute the result. + * This method lists node by node in \b this which are its neighbors. To compute the result + * only connectivities are considered. * The neighbor nodes of node having id 'nodeId' are neighbors[neighborsIndx[cellId]:neighborsIndx[cellId+1]]. * - * \param [out] neighbors is an array storing all the neighbors of all nodes in \b this. This array is newly allocated and should be dealt by the caller. \b neighborsIndx 2nd output - * parameter allows to select the right part in this array. The number of tuples is equal to the last values in \b neighborsIndx. - * \param [out] neighborsIndx is an array of size this->getNumberOfCells()+1 newly allocated and should be dealt by the caller. This arrays allow to use the first output parameter \b neighbors. + * \param [out] neighbors is an array storing all the neighbors of all nodes in \b this. This array + * is newly allocated and should be dealt by the caller. \b neighborsIndx 2nd output + * parameter allows to select the right part in this array (\ref numbering-indirect). + * The number of tuples is equal to the last values in \b neighborsIndx. + * \param [out] neighborsIdx is an array of size this->getNumberOfCells()+1 newly allocated and should + * be dealt by the caller. This arrays allow to use the first output parameter \b neighbors. */ void MEDCouplingUMesh::computeNeighborsOfNodes(DataArrayInt *&neighbors, DataArrayInt *&neighborsIdx) const { @@ -1794,8 +1809,9 @@ bool MEDCouplingUMesh::AreCellsEqualInPool(const std::vector& candidates, i } /*! - * This method find cells that are cells equal (regarding \a compType) in \a this. The comparison is specified by \a compType. - * This method keeps the coordiantes of \a this. This method is time consuming and is called + * This method find cells that are equal (regarding \a compType) in \a this. The comparison is specified + * by \a compType. + * This method keeps the coordiantes of \a this. This method is time consuming. * * \param [in] compType input specifying the technique used to compare cells each other. * - 0 : exactly. A cell is detected to be the same if and only if the connectivity is exactly the same without permutation and types same too. This is the strongest policy. @@ -1804,8 +1820,8 @@ bool MEDCouplingUMesh::AreCellsEqualInPool(const std::vector& candidates, i * - 2 : nodal. cell1 and cell2 are equal if and only if cell1 and cell2 have same type and have the same nodes constituting connectivity. This is the laziest policy. This policy * can be used for users not sensitive to orientation of cell * \param [in] startCellId specifies the cellId starting from which the equality computation will be carried out. By default it is 0, which it means that all cells in \a this will be scanned. - * \param [out] commonCells - * \param [out] commonCellsI + * \param [out] commonCellsArr common cells ids (\ref numbering-indirect) + * \param [out] commonCellsIArr common cells ids (\ref numbering-indirect) * \return the correspondance array old to new in a newly allocated array. * */ @@ -1948,6 +1964,7 @@ bool MEDCouplingUMesh::areCellsIncludedIn(const MEDCouplingUMesh *other, int com * The main difference is that this method is not expected to throw exception. * This method has two outputs : * + * \param other other mesh * \param arr is an output parameter that returns a \b newly created instance. This array is of size 'other->getNumberOfCells()'. * \return If \a other is fully included in 'this 'true is returned. If not false is returned. */ @@ -2004,6 +2021,9 @@ MEDCouplingPointSet *MEDCouplingUMesh::mergeMyselfWithOnSameCoords(const MEDCoup * By default coordinates are kept. This method is close to MEDCouplingUMesh::buildPartOfMySelf except that here input * cellIds is not given explicitely but by a range python like. * + * \param start + * \param end + * \param step * \param keepCoords that specifies if you want or not to keep coords as this or zip it (see ParaMEDMEM::MEDCouplingUMesh::zipCoords). If true zipCoords is \b NOT called, if false, zipCoords is called. * \return a newly allocated * @@ -2071,8 +2091,8 @@ MEDCouplingPointSet *MEDCouplingUMesh::buildPartOfMySelf(const int *begin, const * Size of [ \b cellIdsBg, \b cellIdsEnd ) ) must be equal to the number of cells of otherOnSameCoordsThanThis. * The number of cells of \b this will remain the same with this method. * - * \param [in] begin begin of cell ids (included) of cells in this to assign - * \param [in] end end of cell ids (excluded) of cells in this to assign + * \param [in] cellIdsBg begin of cell ids (included) of cells in this to assign + * \param [in] cellIdsEnd end of cell ids (excluded) of cells in this to assign * \param [in] otherOnSameCoordsThanThis an another mesh with same meshdimension than \b this with exactly the same number of cells than cell ids list in [\b cellIdsBg, \b cellIdsEnd ). * Coordinate pointer of \b this and those of \b otherOnSameCoordsThanThis must be the same */ @@ -2337,6 +2357,7 @@ DataArrayInt *MEDCouplingUMesh::findCellIdsOnBoundary() const * \throw if \b otherDimM1OnSameCoords is not part of constituent of \b this, or if coordinate pointer of \b this and \b otherDimM1OnSameCoords * are not same, or if this->getMeshDimension()-1!=otherDimM1OnSameCoords.getMeshDimension() * + * \param [in] otherDimM1OnSameCoords * \param [out] cellIdsRk0 a newly allocated array containing the cell ids of s0 (which are cell ids of \b this) in the above algorithm. * \param [out] cellIdsRk1 a newly allocated array containing the cell ids of s1 \b indexed into the \b cellIdsRk0 subset. To get the absolute ids of s1, simply invoke * cellIdsRk1->transformWithIndArr(cellIdsRk0->begin(),cellIdsRk0->end()); @@ -2607,7 +2628,7 @@ void MEDCouplingUMesh::renumberNodesInConn(const INTERP_KERNEL::HashMap * \warning This method performs no check of validity of new ids. **Use it with care !** * \param [in] newNodeNumbersO2N - a permutation array, of length \a * this->getNumberOfNodes(), in "Old to New" mode. - * See \ref MEDCouplingArrayRenumbering for more info on renumbering modes. + * See \ref numbering for more info on renumbering modes. * \throw If the nodal connectivity of cells is not defined. * * \if ENABLE_EXAMPLES @@ -2715,6 +2736,7 @@ void MEDCouplingUMesh::duplicateNodesInConn(const int *nodeIdsToDuplicateBg, con * should be contained in[0;this->getNumberOfCells()). * * \param [in] old2NewBg is expected to be a dynamically allocated pointer of size at least equal to this->getNumberOfCells() + * \param check */ void MEDCouplingUMesh::renumberCells(const int *old2NewBg, bool check) { @@ -3141,7 +3163,8 @@ std::set MEDCouplingUMesh::getTypesOfPart(con } /*! - * Defines the nodal connectivity using given connectivity arrays. Optionally updates + * Defines the nodal connectivity using given connectivity arrays in \ref numbering-indirect format. + * Optionally updates * a set of types of cells constituting \a this mesh. * This method is for advanced users having prepared their connectivity before. For * more info on using this method see \ref MEDCouplingUMeshAdvBuild. @@ -3226,7 +3249,7 @@ int MEDCouplingUMesh::getNumberOfCells() const /*! * Returns a dimension of \a this mesh, i.e. a dimension of cells constituting \a this - * mesh. For more info see \ref MEDCouplingMeshesPage. + * mesh. For more info see \ref meshes. * \return int - the dimension of \a this mesh. * \throw If the mesh dimension is not defined using setMeshDimension(). */ @@ -3273,6 +3296,9 @@ bool MEDCouplingUMesh::isEmptyMesh(const std::vector& tinyInfo) const /*! * Second step of serialization process. * \param tinyInfo must be equal to the result given by getTinySerializationInformation method. + * \param a1 + * \param a2 + * \param littleStrings */ void MEDCouplingUMesh::resizeForUnserialization(const std::vector& tinyInfo, DataArrayInt *a1, DataArrayDouble *a2, std::vector& littleStrings) const { @@ -6203,7 +6229,7 @@ DataArrayInt *MEDCouplingUMesh::findAndCorrectBadOriented3DExtrudedCells() * This method works only if \a this is a 3D mesh, that is to say a mesh with mesh dimension 3 and a space dimension 3. * This method makes the hypothesis that \a this a coherent that is to say MEDCouplingUMesh::checkCoherency2 should throw no exception. * - * \ret a newly allocated int array with one components containing cell ids renumbered to fit the convention of MED (MED file and MEDCoupling) + * \return a newly allocated int array with one components containing cell ids renumbered to fit the convention of MED (MED file and MEDCoupling) * \sa MEDCouplingUMesh::orientCorrectlyPolyhedrons, */ DataArrayInt *MEDCouplingUMesh::findAndCorrectBadOriented3DCells() @@ -6920,11 +6946,12 @@ DataArrayInt *MEDCouplingUMesh::checkTypeConsistencyAndContig(const std::vector< } /*! - * This method makes the hypothesis that \at this is sorted by type. If not an exception will be thrown. + * This method makes the hypothesis that \a this is sorted by type. If not an exception will be thrown. * This method is the opposite of MEDCouplingUMesh::checkTypeConsistencyAndContig method. Given a list of cells in \a profile it returns a list of sub-profiles sorted by geo type. * The result is put in the array \a idsPerType. In the returned parameter \a code, foreach i \a code[3*i+2] refers (if different from -1) to a location into the \a idsPerType. * This method has 1 input \a profile and 3 outputs \a code \a idsInPflPerType and \a idsPerType. * + * \param [in] profile * \param [out] code is a vector of size 3*n where n is the number of different geometric type in \a this \b reduced to the profile \a profile. \a code has exactly the same semantic than in MEDCouplingUMesh::checkTypeConsistencyAndContig method. * \param [out] idsInPflPerType is a vector of size of different geometric type in the subpart defined by \a profile of \a this ( equal to \a code.size()/3). For each i, * \a idsInPflPerType[i] stores the tuple ids in \a profile that correspond to the geometric type code[3*i+0] @@ -7340,6 +7367,12 @@ DataArrayInt *MEDCouplingUMesh::convertNodalConnectivityToStaticGeoTypeMesh() co return connOut.retn(); } +/*! + * Convert the nodal connectivity of the mesh so that all the cells are of dynamic types (polygon or quadratic + * polygon). This returns the corresponding new nodal connectivity in \ref numbering-indirect format. + * \param nodalConn + * \param nodalConnI + */ void MEDCouplingUMesh::convertNodalConnectivityToDynamicGeoTypeMesh(DataArrayInt *&nodalConn, DataArrayInt *&nodalConnIndex) const { static const char msg0[]="MEDCouplingUMesh::convertNodalConnectivityToDynamicGeoTypeMesh : nodal connectivity in this are invalid ! Call checkCoherency2 !"; @@ -7934,7 +7967,7 @@ MEDCouplingUMesh *MEDCouplingUMesh::MergeUMeshesOnSameCoords(const MEDCouplingUM * dimension and sharing the node coordinates array. * All cells of the *i*-th mesh precede all cells of the * (*i*+1)-th mesh within the result mesh. - * \param [in] a - a vector of meshes (MEDCouplingUMesh) to concatenate. + * \param [in] meshes - a vector of meshes (MEDCouplingUMesh) to concatenate. * \return MEDCouplingUMesh * - the result mesh. It is a new instance of * MEDCouplingUMesh. The caller is to delete this mesh using decrRef() as it * is no more needed. @@ -10115,10 +10148,14 @@ bool IKGeo2DInternalMapper(const INTERP_KERNEL::ComposedEdge& c, const std::map< /// @endcond /** - * This method split some of edges of 2D cells in \a this. The edges to be split are specified in \a subNodesInSeg and in \a subNodesInSegI using index storage mode. - * To do the work this method can optionally needs information about middle of subedges for quadratic cases if a minimal creation of new nodes is wanted. - * So this method try to reduce at most the number of new nodes. The only case that can lead this method to add nodes if a SEG3 is split without information of middle. - * \b WARNING : is returned value is different from 0 a call to MEDCouplingUMesh::mergeNodes is necessary to avoid to have a non conform mesh. + * This method split some of edges of 2D cells in \a this. The edges to be split are specified in \a subNodesInSeg + * and in \a subNodesInSegI using \ref numbering-indirect storage mode. + * To do the work this method can optionally needs information about middle of subedges for quadratic cases if + * a minimal creation of new nodes is wanted. + * So this method try to reduce at most the number of new nodes. The only case that can lead this method to add + * nodes if a SEG3 is split without information of middle. + * \b WARNING : is returned value is different from 0 a call to MEDCouplingUMesh::mergeNodes is necessary to + * avoid to have a non conform mesh. * * \return int - the number of new nodes created (in most of cases 0). * @@ -10796,10 +10833,11 @@ bool MEDCouplingUMesh::RemoveIdsFromIndexedArrays(const int *idsToRemoveBg, cons } /*! - * This method works on a pair input (\b arrIn, \b arrIndxIn) where \b arrIn indexes is in \b arrIndxIn. + * This method works on a pair input (\b arrIn, \b arrIndxIn) where \b arrIn indexes is in \b arrIndxIn + * (\ref numbering-indirect). * This method returns the result of the extraction ( specified by a set of ids in [\b idsOfSelectBg , \b idsOfSelectEnd ) ). * The selection of extraction is done standardly in new2old format. - * This method returns indexed arrays using 2 arrays (arrOut,arrIndexOut). + * This method returns indexed arrays (\ref numbering-indirect) using 2 arrays (arrOut,arrIndexOut). * * \param [in] idsOfSelectBg begin of set of ids of the input extraction (included) * \param [in] idsOfSelectEnd end of set of ids of the input extraction (excluded) @@ -10868,13 +10906,15 @@ void MEDCouplingUMesh::ExtractFromIndexedArrays(const int *idsOfSelectBg, const } /*! - * This method works on a pair input (\b arrIn, \b arrIndxIn) where \b arrIn indexes is in \b arrIndxIn. + * This method works on a pair input (\b arrIn, \b arrIndxIn) where \b arrIn indexes is in \b arrIndxIn + * (\ref numbering-indirect). * This method returns the result of the extraction ( specified by a set of ids with a slice given by \a idsOfSelectStart, \a idsOfSelectStop and \a idsOfSelectStep ). * The selection of extraction is done standardly in new2old format. - * This method returns indexed arrays using 2 arrays (arrOut,arrIndexOut). + * This method returns indexed arrays (\ref numbering-indirect) using 2 arrays (arrOut,arrIndexOut). * - * \param [in] idsOfSelectBg begin of set of ids of the input extraction (included) - * \param [in] idsOfSelectEnd end of set of ids of the input extraction (excluded) + * \param [in] idsOfSelectStart begin of set of ids of the input extraction (included) + * \param [in] idsOfSelectStop end of set of ids of the input extraction (excluded) + * \param [in] idsOfSelectStep * \param [in] arrIn arr origin array from which the extraction will be done. * \param [in] arrIndxIn is the input index array allowing to walk into \b arrIn * \param [out] arrOut the resulting array @@ -11548,7 +11588,7 @@ void EnterTheResultOf2DCellEnd(const INTERP_KERNEL::Edge *e, int start, int stp, } } -/// @cond INTERNAL +/// @endcond /*! * Returns true if a colinearization has been found in the given cell. If false is returned the content pushed in \a newConnOfCell is equal to [ \a connBg , \a connEnd ) . diff --git a/src/MEDCoupling_Swig/MEDCouplingExamplesTest.py b/src/MEDCoupling_Swig/MEDCouplingExamplesTest.py index 42390a09d..3ebd2170d 100644 --- a/src/MEDCoupling_Swig/MEDCouplingExamplesTest.py +++ b/src/MEDCoupling_Swig/MEDCouplingExamplesTest.py @@ -28,8 +28,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingFieldDouble_WriteVTK_1] # mesh coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) # mesh becomes a 2D one # 3 fields (lying on the same mesh!) @@ -43,7 +43,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): fileName = "testExample_MEDCouplingFieldDouble_WriteVTK" fs = [ field1, field2, field3 ] # field series writtenFileName=MEDCouplingFieldDouble.WriteVTK( fileName, fs ) - print "The file name with correct extension is : %s"%(writtenFileName) + print "The file name with correct extension is : %s"%(writtenFileName) #! [PySnippet_MEDCouplingFieldDouble_WriteVTK_1] import os os.remove( writtenFileName ) @@ -58,13 +58,13 @@ class MEDCouplingBasicsTest(unittest.TestCase): valsMin = [0.,0., 4.,4.] # expected min field # field 1 - valsArr1=DataArrayDouble.New(vals1,2,2) # 2 tuples per 2 components - field1 = MEDCouplingFieldDouble.New( ON_NODES ) + valsArr1=DataArrayDouble(vals1,2,2) # 2 tuples per 2 components + field1 = MEDCouplingFieldDouble( ON_NODES ) field1.setArray( valsArr1 ) # field 2 - valsArr2=DataArrayDouble.New(vals2,2,2) # 2 tuples per 2 components - field2 = MEDCouplingFieldDouble.New( ON_NODES ) + valsArr2=DataArrayDouble(vals2,2,2) # 2 tuples per 2 components + field2 = MEDCouplingFieldDouble( ON_NODES ) field2.setArray( valsArr2 ) # max field @@ -80,8 +80,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingFieldDouble_MergeFields_1] # mesh 1 coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh1=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh1=MEDCouplingCMesh() mesh1.setCoords(coordsArr) # field 1 field1 = mesh1.fillFromAnalytic( ON_CELLS, 1, "x") @@ -103,15 +103,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): coords1=[0.,1.,2.,3.] coords2=[2.,1.,0.,3.] #0 <==> #2 # mesh 1 - mesh1=MEDCouplingUMesh.New(); - coordsArr=DataArrayDouble.New(coords1, 4, 1); - mesh1.setCoords(coordsArr); - mesh1.setMeshDimension(0); - mesh1.allocateCells(0); - mesh1.finishInsertingCells(); + mesh1=MEDCouplingUMesh() + coordsArr=DataArrayDouble(coords1, 4, 1) + mesh1.setCoords(coordsArr) + mesh1.setMeshDimension(0) + mesh1.allocateCells(0) + mesh1.finishInsertingCells() # mesh 2 - mesh2=mesh1.deepCpy(); - mesh2.getCoords().setValues(coords2, 4, 1); + mesh2=mesh1.deepCpy() + mesh2.getCoords().setValues(coords2, 4, 1) #! [PySnippet_MEDCouplingFieldDouble_substractInPlaceDM_1] #! [PySnippet_MEDCouplingFieldDouble_substractInPlaceDM_2] field1 = mesh1.fillFromAnalytic(ON_NODES,1,"x") # field1 values == coords1 @@ -130,15 +130,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): coords1=[0.,1.,2.,3.] coords2=[2.,1.,0.,3.] #0 <==> #2 # mesh 1 - mesh1=MEDCouplingUMesh.New(); - coordsArr=DataArrayDouble.New(coords1, 4, 1); - mesh1.setCoords(coordsArr); - mesh1.setMeshDimension(0); - mesh1.allocateCells(0); - mesh1.finishInsertingCells(); + mesh1=MEDCouplingUMesh() + coordsArr=DataArrayDouble(coords1, 4, 1) + mesh1.setCoords(coordsArr) + mesh1.setMeshDimension(0) + mesh1.allocateCells(0) + mesh1.finishInsertingCells() # mesh 2 - mesh2=mesh1.deepCpy(); - mesh2.getCoords().setValues(coords2, 4, 1); + mesh2=mesh1.deepCpy() + mesh2.getCoords().setValues(coords2, 4, 1) #! [PySnippet_MEDCouplingFieldDouble_changeUnderlyingMesh_1] #! [PySnippet_MEDCouplingFieldDouble_changeUnderlyingMesh_2] field = mesh1.fillFromAnalytic(ON_NODES,1,"x") # field values == coords1 @@ -151,8 +151,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_applyFunc_same_nb_comp(self): #! [PySnippet_MEDCouplingFieldDouble_applyFunc_same_nb_comp_1] v = [1.,2., 3.,4.] - array = DataArrayDouble.New( v, 2, 2 ) # 2 tuples per 2 components - field = MEDCouplingFieldDouble.New( ON_CELLS ) + array = DataArrayDouble( v, 2, 2 ) # 2 tuples per 2 components + field = MEDCouplingFieldDouble( ON_CELLS ) field.setArray( array ) func = "IVec * v + JVec * w*w + 10" field.applyFunc( 2, func ) @@ -171,8 +171,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingFieldDouble_applyFunc3_1] # create a 2D vector field values = [1.,1., 2.,1.] - array = DataArrayDouble.New( values, 2, 2 ) # 2 tuples per 2 components - field = MEDCouplingFieldDouble.New( ON_CELLS ) + array = DataArrayDouble( values, 2, 2 ) # 2 tuples per 2 components + field = MEDCouplingFieldDouble( ON_CELLS ) field.setArray( array ) # transform the field to a 3D vector field func = "IVec * b + JVec * a + KVec * sqrt( a*a + b*b ) + 10" @@ -193,10 +193,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingFieldDouble_applyFunc2_1] # create a 2D vector field values = [1.,1., 2.,1.] - array = DataArrayDouble.New( values, 2, 2 ) # 2 tuples per 2 components + array = DataArrayDouble( values, 2, 2 ) # 2 tuples per 2 components array.setInfoOnComponent(0,"a") # name used to refer to X component within a function array.setInfoOnComponent(1,"b") # name used to refer to Y component within a function - field = MEDCouplingFieldDouble.New( ON_CELLS ) + field = MEDCouplingFieldDouble( ON_CELLS ) field.setArray( array ) # transform the field to a 3D vector field func = "IVec * b + JVec * a + KVec * sqrt( a*a + b*b ) + 10" @@ -216,8 +216,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingFieldDouble_applyFunc_1] # create a 2D vector field values = [1.,1., 2.,1.] - array = DataArrayDouble.New( values, 2, 2 ) # 2 tuples per 2 components - field = MEDCouplingFieldDouble.New( ON_CELLS ) + array = DataArrayDouble( values, 2, 2 ) # 2 tuples per 2 components + field = MEDCouplingFieldDouble( ON_CELLS ) field.setArray( array ) # transform the field to a 3D vector field func = "IVec * b + JVec * a + KVec * sqrt( a*a + b*b ) + 10" @@ -236,10 +236,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_applyFunc_val(self): #! [PySnippet_MEDCouplingFieldDouble_applyFunc_val_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) - field = MEDCouplingFieldDouble.New( ON_CELLS ) + field = MEDCouplingFieldDouble( ON_CELLS ) field.setMesh( mesh ) field.fillFromAnalytic(2,"IVec * x + JVec * y") # 2 components #! [PySnippet_MEDCouplingFieldDouble_applyFunc_val_1] @@ -255,13 +255,13 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_fillFromAnalytic3(self): #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic3_1] coords = [0.,2.,4.,6.] # 6. is not used - x=DataArrayDouble.New(coords[:3],3,1) - y=DataArrayDouble.New(coords[:2],2,1) - mesh=MEDCouplingCMesh.New() + x=DataArrayDouble(coords[:3],3,1) + y=DataArrayDouble(coords[:2],2,1) + mesh=MEDCouplingCMesh() mesh.setCoords(x,y) #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic3_1] #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic3_2] - field = MEDCouplingFieldDouble.New( ON_CELLS ) + field = MEDCouplingFieldDouble( ON_CELLS ) field.setMesh( mesh ) func = "IVec * b + JVec * a + KVec * sqrt( a*a + b*b ) + 10" varNames=["a","b"] # names used to refer to X and Y coord components @@ -284,15 +284,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_fillFromAnalytic2(self): #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic2_1] coords = [0.,2.,4.] - x=DataArrayDouble.New(coords[:3],3,1) - y=DataArrayDouble.New(coords[:2],2,1) + x=DataArrayDouble(coords[:3],3,1) + y=DataArrayDouble(coords[:2],2,1) x.setInfoOnComponent(0,"a") # name used to refer to X coordinate within a function y.setInfoOnComponent(0,"b") # name used to refer to Y coordinate within a function - mesh=MEDCouplingCMesh.New() + mesh=MEDCouplingCMesh() mesh.setCoords(x,y) #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic2_1] #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic2_2] - field = MEDCouplingFieldDouble.New( ON_CELLS ) + field = MEDCouplingFieldDouble( ON_CELLS ) field.setMesh( mesh ) func = "IVec * b + JVec * a + KVec * sqrt( a*a + b*b ) + 10" field.fillFromAnalytic2(3,func) @@ -314,13 +314,13 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_fillFromAnalytic(self): #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic_1] coords = [0.,2.,4.] - x=DataArrayDouble.New(coords[:3],3,1) - y=DataArrayDouble.New(coords[:2],2,1) - mesh=MEDCouplingCMesh.New() + x=DataArrayDouble(coords[:3],3,1) + y=DataArrayDouble(coords[:2],2,1) + mesh=MEDCouplingCMesh() mesh.setCoords(x,y) #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic_1] #! [PySnippet_MEDCouplingFieldDouble_fillFromAnalytic_2] - field = MEDCouplingFieldDouble.New( ON_CELLS ) + field = MEDCouplingFieldDouble( ON_CELLS ) field.setMesh( mesh ) func = "IVec * b + JVec * a + KVec * sqrt( a*a + b*b ) + 10" field.fillFromAnalytic(3,func) @@ -342,12 +342,12 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_getValueOn_time(self): #! [PySnippet_MEDCouplingFieldDouble_getValueOn_time_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) #! [PySnippet_MEDCouplingFieldDouble_getValueOn_time_1] #! [PySnippet_MEDCouplingFieldDouble_getValueOn_time_2] - field = MEDCouplingFieldDouble.New( ON_CELLS, LINEAR_TIME ) + field = MEDCouplingFieldDouble( ON_CELLS, LINEAR_TIME ) field.setMesh( mesh ) field.fillFromAnalytic(1,"10") # all values == 10. field.setEndArray( field.getArray() + field.getArray() ) # all values == 20. @@ -365,8 +365,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_getValueOnMulti(self): #! [PySnippet_MEDCouplingFieldDouble_getValueOnMulti_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) field = mesh.fillFromAnalytic(ON_CELLS,1,"x+y") #! [PySnippet_MEDCouplingFieldDouble_getValueOnMulti_1] @@ -380,8 +380,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_getValueOn(self): #! [PySnippet_MEDCouplingFieldDouble_getValueOn_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) field = mesh.fillFromAnalytic(ON_CELLS,1,"x+y") #! [PySnippet_MEDCouplingFieldDouble_getValueOn_1] @@ -397,8 +397,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_getValueOnPos(self): #! [PySnippet_MEDCouplingFieldDouble_getValueOnPos_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) field = mesh.fillFromAnalytic(ON_CELLS,1,"x+y") #! [PySnippet_MEDCouplingFieldDouble_getValueOnPos_1] @@ -412,8 +412,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_renumberNodes(self): #! [PySnippet_MEDCouplingFieldDouble_renumberNodes_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) mesh=mesh.buildUnstructured() #! [PySnippet_MEDCouplingFieldDouble_renumberNodes_1] @@ -437,8 +437,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_renumberCells(self): #! [PySnippet_MEDCouplingFieldDouble_renumberCells_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) mesh=mesh.buildUnstructured() #! [PySnippet_MEDCouplingFieldDouble_renumberCells_1] @@ -461,8 +461,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingFieldDouble_buildNewTimeReprFromThis(self): #! [PySnippet_MEDCouplingFieldDouble_buildNewTimeReprFromThis_1] coords = [0.,2.,4.] - coordsArr=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + coordsArr=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoords(coordsArr,coordsArr) field1 = mesh.fillFromAnalytic(ON_NODES,1,"x+y") self.assertTrue( field1.getTimeDiscretization() == ONE_TIME ) @@ -476,9 +476,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingMesh_fillFromAnalytic3(self): #! [PySnippet_MEDCouplingMesh_fillFromAnalytic3_1] coords = [0.,2.,4.,6.] # 6. is not used - x=DataArrayDouble.New(coords[:3],3,1) - y=DataArrayDouble.New(coords[:2],2,1) - mesh=MEDCouplingCMesh.New() + x=DataArrayDouble(coords[:3],3,1) + y=DataArrayDouble(coords[:2],2,1) + mesh=MEDCouplingCMesh() mesh.setCoords(x,y) #! [PySnippet_MEDCouplingMesh_fillFromAnalytic3_1] #! [PySnippet_MEDCouplingMesh_fillFromAnalytic3_2] @@ -503,11 +503,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingMesh_fillFromAnalytic2(self): #! [PySnippet_MEDCouplingMesh_fillFromAnalytic2_1] coords = [0.,2.,4.,6.] # 6. is not used - x=DataArrayDouble.New(coords[:3],3,1) - y=DataArrayDouble.New(coords[:2],2,1) + x=DataArrayDouble(coords[:3],3,1) + y=DataArrayDouble(coords[:2],2,1) x.setInfoOnComponent(0,"a") # name used to refer to X coordinate within a function y.setInfoOnComponent(0,"b") # name used to refer to Y coordinate within a function - mesh=MEDCouplingCMesh.New() + mesh=MEDCouplingCMesh() mesh.setCoords(x,y) #! [PySnippet_MEDCouplingMesh_fillFromAnalytic2_1] #! [PySnippet_MEDCouplingMesh_fillFromAnalytic2_2] @@ -531,9 +531,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingMesh_fillFromAnalytic(self): #! [PySnippet_MEDCouplingMesh_fillFromAnalytic_1] coords = [0.,2.,4.,6.] # 6. is not used - x=DataArrayDouble.New(coords[:3],3,1) - y=DataArrayDouble.New(coords[:2],2,1) - mesh=MEDCouplingCMesh.New() + x=DataArrayDouble(coords[:3],3,1) + y=DataArrayDouble(coords[:2],2,1) + mesh=MEDCouplingCMesh() mesh.setCoords(x,y) #! [PySnippet_MEDCouplingMesh_fillFromAnalytic_1] #! [PySnippet_MEDCouplingMesh_fillFromAnalytic_2] @@ -557,8 +557,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingCMesh_getCoordsAt(self): #! [PySnippet_MEDCouplingCMesh_getCoordsAt_1] coords = [1.,2.,4.] - x=DataArrayDouble.New(coords,3,1) - mesh=MEDCouplingCMesh.New() + x=DataArrayDouble(coords,3,1) + mesh=MEDCouplingCMesh() mesh.setCoordsAt(0,x) x2=mesh.getCoordsAt(0) assert coords == x2.getValues() @@ -567,20 +567,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_areCellsIncludedIn(self): #! [PySnippet_MEDCouplingUMesh_areCellsIncludedIn_1] - mesh1=MEDCouplingUMesh.New(); - mesh1.setMeshDimension(2); - mesh1.allocateCells(5); - conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh1.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh1.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh1.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh1.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh1.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh1.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh1.setCoords(coordsArr); + mesh1=MEDCouplingUMesh() + mesh1.setMeshDimension(2) + mesh1.allocateCells(5) + conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh1.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh1.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh1.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh1.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh1.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh1.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh1.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_areCellsIncludedIn_1] #! [PySnippet_MEDCouplingUMesh_areCellsIncludedIn_2] cells2 = [ 4,2,0 ] @@ -601,9 +600,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_findAndCorrectBadOriented3DExtrudedCells(self): #! [PySnippet_MEDCouplingUMesh_findAndCorrectBadOriented3DExtrudedCells_1] # 2D coordinates of 5 base nodes - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,5,2); + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2] + coordsArr=DataArrayDouble(coords,5,2) # coordinates of 5 top nodes coordsArr2 = coordsArr.deepCpy() # 3D coordinates of base + top nodes @@ -611,15 +609,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): coordsArr2 = coordsArr2.changeNbOfComponents( 3, 1 ) coordsArr = DataArrayDouble.Aggregate([coordsArr,coordsArr2]) # mesh - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); - mesh.setMeshDimension(3); - mesh.allocateCells(2); + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) + mesh.setMeshDimension(3) + mesh.allocateCells(2) # connectivity of reversed HEXA8 and PENTA6 conn=[0,1,4,3, 5,6,9,8, 1,2,4, 6,7,9] mesh.insertNextCell(NORM_HEXA8, 8,conn[0:0+8]) mesh.insertNextCell(NORM_PENTA6,6,conn[8:8+6]) - mesh.finishInsertingCells(); + mesh.finishInsertingCells() #! [PySnippet_MEDCouplingUMesh_findAndCorrectBadOriented3DExtrudedCells_1] #! [PySnippet_MEDCouplingUMesh_findAndCorrectBadOriented3DExtrudedCells_2] fixedCells = mesh.findAndCorrectBadOriented3DExtrudedCells() @@ -632,9 +630,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_arePolyhedronsNotCorrectlyOriented(self): #! [PySnippet_MEDCouplingUMesh_arePolyhedronsNotCorrectlyOriented_1] # 2D coordinates of 5 base nodes - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,5,2); + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2] + coordsArr=DataArrayDouble(coords,5,2) # coordinates of 5 top nodes coordsArr2 = coordsArr.deepCpy() # 3D coordinates of base + top nodes @@ -642,15 +639,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): coordsArr2 = coordsArr2.changeNbOfComponents( 3, 1 ) coordsArr = DataArrayDouble.Aggregate([coordsArr,coordsArr2]) # mesh - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); - mesh.setMeshDimension(3); - mesh.allocateCells(2); + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) + mesh.setMeshDimension(3) + mesh.allocateCells(2) # connectivity of a HEXA8 + a reversed PENTA6 conn=[0,3,4,1, 5,8,9,6, 1,2,4, 6,7,9] mesh.insertNextCell(NORM_POLYHED, 8,conn[0:0+8]) # "extruded" polyhedron mesh.insertNextCell(NORM_POLYHED,6,conn[8:8+6]) - mesh.finishInsertingCells(); + mesh.finishInsertingCells() # fix connectivity of NORM_POLYHED's mesh.convertExtrudedPolyhedra() #! [PySnippet_MEDCouplingUMesh_arePolyhedronsNotCorrectlyOriented_1] @@ -667,20 +664,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_are2DCellsNotCorrectlyOriented(self): #! [PySnippet_MEDCouplingUMesh_are2DCellsNotCorrectlyOriented_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) mesh.changeSpaceDimension(3) #! [PySnippet_MEDCouplingUMesh_are2DCellsNotCorrectlyOriented_1] #! [PySnippet_MEDCouplingUMesh_are2DCellsNotCorrectlyOriented_2] @@ -697,20 +693,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getCellsContainingPoints(self): #! [PySnippet_MEDCouplingUMesh_getCellsContainingPoints_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getCellsContainingPoints_1] #! [PySnippet_MEDCouplingUMesh_getCellsContainingPoints_2] pos = [ 10., 10, # point out of the mesh @@ -726,20 +721,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getCellsContainingPoint(self): #! [PySnippet_MEDCouplingUMesh_getCellsContainingPoint_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getCellsContainingPoint_1] #! [PySnippet_MEDCouplingUMesh_getCellsContainingPoint_2] pos4 = coords[ 4*2 : ] # coordinates of the node #4 @@ -753,20 +747,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildPartOrthogonalField(self): #! [PySnippet_MEDCouplingUMesh_buildPartOrthogonalField_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildPartOrthogonalField_1] #! [PySnippet_MEDCouplingUMesh_buildPartOrthogonalField_2] part = DataArrayInt([1,2,3,4],4,1) # cell #0 is omitted @@ -779,20 +772,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getPartMeasureField(self): #! [PySnippet_MEDCouplingUMesh_getPartMeasureField_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,2,4, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getPartMeasureField_1] #! [PySnippet_MEDCouplingUMesh_getPartMeasureField_2] isAbs = True @@ -813,16 +805,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getCellsInBoundingBox(self): #! [PySnippet_MEDCouplingUMesh_getCellsInBoundingBox_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - coords=[0.,0., 0.,1., 1.,1]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,3,2); - mesh.setCoords(coordsArr); - mesh.allocateCells(1); - conn=[0,1,2]; - mesh.insertNextCell(NORM_TRI3,3,conn); - mesh.finishInsertingCells(); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + coords=[0.,0., 0.,1., 1.,1] + coordsArr=DataArrayDouble(coords,3,2) + mesh.setCoords(coordsArr) + mesh.allocateCells(1) + conn=[0,1,2] + mesh.insertNextCell(NORM_TRI3,3,conn) + mesh.finishInsertingCells() #! [PySnippet_MEDCouplingUMesh_getCellsInBoundingBox_1] #! [PySnippet_MEDCouplingUMesh_getCellsInBoundingBox_2] bbox = [1., 1., 1.001,1.001] # xMin, xMax, yMin, yMax @@ -835,12 +826,12 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_renumberNodesInConn(self): #! [PySnippet_MEDCouplingUMesh_renumberNodesInConn_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(1); - conn=[4,3,2,1]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.finishInsertingCells(); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(1) + conn=[4,3,2,1] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.finishInsertingCells() #! [PySnippet_MEDCouplingUMesh_renumberNodesInConn_1] #! [PySnippet_MEDCouplingUMesh_renumberNodesInConn_2] old2newIds = [-1,3,2,1,0] @@ -853,23 +844,22 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_renumberNodes(self): #! [PySnippet_MEDCouplingUMesh_renumberNodes_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.3]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,4,2); - mesh.setCoords(coordsArr); - mesh.allocateCells(0); - mesh.finishInsertingCells(); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.3] + coordsArr=DataArrayDouble(coords,4,2) + mesh.setCoords(coordsArr) + mesh.allocateCells(0) + mesh.finishInsertingCells() #! [PySnippet_MEDCouplingUMesh_renumberNodes_1] #! [PySnippet_MEDCouplingUMesh_renumberNodes_2] - mesh.renumberNodes([ 2,1,0,-1 ], 3); + mesh.renumberNodes([ 2,1,0,-1 ], 3) coordsArr = mesh.getCoords() # get a shorten array assert coordsArr.getValues() == [0.7,-0.3, 0.2,-0.3, -0.3,-0.3] #! [PySnippet_MEDCouplingUMesh_renumberNodes_2] #! [PySnippet_MEDCouplingUMesh_renumberNodes_3] - coordsArr.setValues(coords,4,2); # restore old nodes - mesh.renumberNodes2([ 2,1,0,2 ], 3); + coordsArr.setValues(coords,4,2) # restore old nodes + mesh.renumberNodes2([ 2,1,0,2 ], 3) coordsArr = mesh.getCoords() # get a shorten array assert coordsArr.getValues() == [0.7,-0.3, 0.2,-0.3, -0.3,0.0] #! [PySnippet_MEDCouplingUMesh_renumberNodes_3] @@ -877,20 +867,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_findBoundaryNodes(self): #! [PySnippet_MEDCouplingUMesh_findBoundaryNodes_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_findBoundaryNodes_1] #! [PySnippet_MEDCouplingUMesh_findBoundaryNodes_2] nodeIdsArr=mesh.findBoundaryNodes() @@ -900,20 +889,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildBoundaryMesh(self): #! [PySnippet_MEDCouplingUMesh_buildBoundaryMesh_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildBoundaryMesh_1] #! [PySnippet_MEDCouplingUMesh_buildBoundaryMesh_2] mesh1=mesh.buildBoundaryMesh(True) @@ -925,20 +913,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildFacePartOfMySelfNode(self): #! [PySnippet_MEDCouplingUMesh_buildFacePartOfMySelfNode_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildFacePartOfMySelfNode_1] #! [PySnippet_MEDCouplingUMesh_buildFacePartOfMySelfNode_2] nodeIds = mesh.getNodeIdsOfCell( 0 ) @@ -953,20 +940,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildPartOfMySelfNode(self): #! [PySnippet_MEDCouplingUMesh_buildPartOfMySelfNode_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildPartOfMySelfNode_1] #! [PySnippet_MEDCouplingUMesh_buildPartOfMySelfNode_2] nodeIds = mesh.getNodeIdsOfCell( 0 ) @@ -981,20 +967,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getCellIdsLyingOnNodes(self): #! [PySnippet_MEDCouplingUMesh_getCellIdsLyingOnNodes_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getCellIdsLyingOnNodes_1] #! [PySnippet_MEDCouplingUMesh_getCellIdsLyingOnNodes_2] nodeIds = mesh.getNodeIdsOfCell( 0 ) @@ -1009,20 +994,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getCellIdsFullyIncludedInNodeIds(self): #! [PySnippet_MEDCouplingUMesh_getCellIdsFullyIncludedInNodeIds_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getCellIdsFullyIncludedInNodeIds_1] #! [PySnippet_MEDCouplingUMesh_getCellIdsFullyIncludedInNodeIds_2] cellIds = [1,2] @@ -1036,20 +1020,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildPartOfMySelf(self): #! [PySnippet_MEDCouplingUMesh_buildPartOfMySelf_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildPartOfMySelf_1] #! [PySnippet_MEDCouplingUMesh_buildPartOfMySelf_2] cellIds=[1,2] @@ -1066,23 +1049,22 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_mergeNodes(self): #! [PySnippet_MEDCouplingUMesh_mergeNodes_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.finishInsertingCells(); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.finishInsertingCells() coords=[0.3,-0.301, # 0 0.2,-0.3, # 1 0.3,-0.302, # 2 ~~ 0 1.1,0.0, # 3 1.1,0.0, # 4 == 3 - 0.3,-0.303];# 5 ~~ 0 - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,6,2); - mesh.setCoords(coordsArr); + 0.3,-0.303]# 5 ~~ 0 + coordsArr=DataArrayDouble(coords,6,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_mergeNodes_1] #! [PySnippet_MEDCouplingUMesh_mergeNodes_2] arr,areNodesMerged,newNbOfNodes=mesh.mergeNodes(0.004) @@ -1095,8 +1077,8 @@ class MEDCouplingBasicsTest(unittest.TestCase): coordsArr = mesh.getCoords() # retrieve a new shorten coord array self.assertNotAlmostEqual( baryCoords2[1], coordsArr.getIJ(0,1), 13 ) # Y of node #0 differs from that of baryCoords2 # restore coordinates - coordsArr = DataArrayDouble(coords,6,2); - mesh.setCoords(coordsArr); + coordsArr = DataArrayDouble(coords,6,2) + mesh.setCoords(coordsArr) # call mergeNodes2() mesh.mergeNodes2(0.004) coordsArr = mesh.getCoords() # retrieve a new shorten coord array @@ -1106,20 +1088,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_zipConnectivityTraducer(self): #! [PySnippet_MEDCouplingUMesh_zipConnectivityTraducer_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 2 == 1 - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 3 == 0 - mesh.insertNextCell(NORM_QUAD4,4,conn[2:4]+conn[0:2]); # 4 ~~ 0 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 2 == 1 + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 3 == 0 + mesh.insertNextCell(NORM_QUAD4,4,conn[2:4]+conn[0:2]) # 4 ~~ 0 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_zipConnectivityTraducer_1] #! [PySnippet_MEDCouplingUMesh_zipConnectivityTraducer_2] oldNbCells = mesh.getNumberOfCells() @@ -1131,25 +1112,24 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_zipCoordsTraducer(self): #! [PySnippet_MEDCouplingUMesh_zipCoordsTraducer_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_zipCoordsTraducer_1] #! [PySnippet_MEDCouplingUMesh_zipCoordsTraducer_2] cellIds=[1,2] - mesh2=mesh.buildPartOfMySelf(cellIds,True); - arr=mesh2.zipCoordsTraducer(); + mesh2=mesh.buildPartOfMySelf(cellIds,True) + arr=mesh2.zipCoordsTraducer() assert mesh2.getNumberOfNodes() == 4 # nb of nodes decreased assert arr.getValues() == [-1,0,1,-1,2,3,-1,-1,-1] # -1 for unused nodes #! [PySnippet_MEDCouplingUMesh_zipCoordsTraducer_2] @@ -1157,53 +1137,51 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getNodeIdsInUse(self): #! [PySnippet_MEDCouplingUMesh_getNodeIdsInUse_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getNodeIdsInUse_1] #! [PySnippet_MEDCouplingUMesh_getNodeIdsInUse_2] cellIds=[1,2] - mesh2=mesh.buildPartOfMySelf(cellIds,True); - arr,newNbOfNodes=mesh2.getNodeIdsInUse(); + mesh2=mesh.buildPartOfMySelf(cellIds,True) + arr,newNbOfNodes=mesh2.getNodeIdsInUse() assert arr.getValues() == [-1,0,1,-1,2,3,-1,-1,-1] #! [PySnippet_MEDCouplingUMesh_getNodeIdsInUse_2] #! [PySnippet_MEDCouplingUMesh_getNodeIdsInUse_3] - arr2=arr.invertArrayO2N2N2O(newNbOfNodes); + arr2=arr.invertArrayO2N2N2O(newNbOfNodes) assert arr2.getValues() == [1,2,4,5] #! [PySnippet_MEDCouplingUMesh_getNodeIdsInUse_3] return def testExample_MEDCouplingUMesh_convertToPolyTypes(self): #! [PySnippet_MEDCouplingUMesh_convertToPolyTypes_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_convertToPolyTypes_1] #! [PySnippet_MEDCouplingUMesh_convertToPolyTypes_2] - cells=[1,3]; - mesh.convertToPolyTypes(cells); + cells=[1,3] + mesh.convertToPolyTypes(cells) assert mesh.getTypeOfCell(0) == NORM_QUAD4 assert mesh.getTypeOfCell(1) == NORM_POLYGON, mesh.getTypeOfCell(1) assert mesh.getTypeOfCell(2) == NORM_TRI3 @@ -1213,27 +1191,22 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildDescendingConnectivity2(self): #! [PySnippet_MEDCouplingUMesh_buildDescendingConnectivity2_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildDescendingConnectivity2_1] #! [PySnippet_MEDCouplingUMesh_buildDescendingConnectivity2_2] - desc=DataArrayInt.New(); - descIndx=DataArrayInt.New(); - revDesc=DataArrayInt.New(); - revDescIndx=DataArrayInt.New(); - mesh2=mesh.buildDescendingConnectivity2(desc,descIndx,revDesc,revDescIndx); + mesh2,desc,descIndx,revDesc,revDescIndx=mesh.buildDescendingConnectivity2() assert desc.getValues() == [1,2,3,4,-3,5,6, 7,8,-5,9,10,-2,11, 12,13,-7,-10] assert descIndx.getValues() == [0,4,7,10,14,18] assert revDesc.getValues() == [0, 0,3, 0,1, 0, 1,2, 1, 2,4, 2, 3, 3,4, 3, 4, 4] @@ -1246,27 +1219,22 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_buildDescendingConnectivity(self): #! [PySnippet_MEDCouplingUMesh_buildDescendingConnectivity_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_buildDescendingConnectivity_1] #! [PySnippet_MEDCouplingUMesh_buildDescendingConnectivity_2] - desc=DataArrayInt.New(); - descIndx=DataArrayInt.New(); - revDesc=DataArrayInt.New(); - revDescIndx=DataArrayInt.New(); - mesh2=mesh.buildDescendingConnectivity(desc,descIndx,revDesc,revDescIndx); + mesh2,desc,descIndx,revDesc,revDescIndx=mesh.buildDescendingConnectivity() assert desc.getValues() == [0,1,2,3, 2,4,5, 6,7,4, 8,9,1,10, 11,12,6,9] assert descIndx.getValues() == [0,4,7,10,14,18] assert revDesc.getValues() == [0, 0,3, 0,1, 0, 1,2, 1, 2,4, 2, 3, 3,4, 3, 4, 4] @@ -1276,56 +1244,55 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingUMesh_getReverseNodalConnectivity(self): #! [PySnippet_MEDCouplingUMesh_getReverseNodalConnectivity_1] - mesh=MEDCouplingUMesh.New(); - mesh.setMeshDimension(2); - mesh.allocateCells(5); - conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4]; - mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]); # 0 - mesh.insertNextCell(NORM_TRI3,3, conn[4:7]); # 1 - mesh.insertNextCell(NORM_TRI3,3, conn[7:10]); # 2 - mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]); # 3 - mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]); # 4 - mesh.finishInsertingCells(); - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,9,2); - mesh.setCoords(coordsArr); + mesh=MEDCouplingUMesh() + mesh.setMeshDimension(2) + mesh.allocateCells(5) + conn=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] + mesh.insertNextCell(NORM_QUAD4,4,conn[0:4]) # 0 + mesh.insertNextCell(NORM_TRI3,3, conn[4:7]) # 1 + mesh.insertNextCell(NORM_TRI3,3, conn[7:10]) # 2 + mesh.insertNextCell(NORM_QUAD4,4,conn[10:14]) # 3 + mesh.insertNextCell(NORM_QUAD4,4,conn[14:18]) # 4 + mesh.finishInsertingCells() + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3, -0.3,0.2, 0.2,0.2, 0.7,0.2, -0.3,0.7, 0.2,0.7, 0.7,0.7 ] + coordsArr=DataArrayDouble(coords,9,2) + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingUMesh_getReverseNodalConnectivity_1] #! [PySnippet_MEDCouplingUMesh_getReverseNodalConnectivity_2] - revNodal,revNodalIndx=mesh.getReverseNodalConnectivity(); - assert revNodal.getValues() == [0,0,1,1,2,0,3,0,1,2,3,4,2,4,3,3,4,4]; - assert revNodalIndx.getValues() == [0,1,3,5,7,12,14,15,17,18]; + revNodal,revNodalIndx=mesh.getReverseNodalConnectivity() + assert revNodal.getValues() == [0,0,1,1,2,0,3,0,1,2,3,4,2,4,3,3,4,4] + assert revNodalIndx.getValues() == [0,1,3,5,7,12,14,15,17,18] #! [PySnippet_MEDCouplingUMesh_getReverseNodalConnectivity_2] return def testExample_MEDCouplingUMesh_checkDeepEquivalWith(self): #! [PySnippet_MEDCouplingUMesh_checkDeepEquivalWith_1] # mesh 1 - mesh1=MEDCouplingUMesh.New(); - mesh1.setMeshDimension(2); + mesh1=MEDCouplingUMesh() + mesh1.setMeshDimension(2) coords=[0.0,0.0, #0 1.0,0.0, #1 1.0,1.0, #2 0.0,1.0] #3 - coordsArr=DataArrayDouble.New(coords,4,2); - mesh1.setCoords(coordsArr); - mesh1.allocateCells(2); - mesh1.insertNextCell(NORM_TRI3,3,[0,1,2]); #0 - mesh1.insertNextCell(NORM_TRI3,3,[1,2,3]); #1 - mesh1.finishInsertingCells(); + coordsArr=DataArrayDouble(coords,4,2) + mesh1.setCoords(coordsArr) + mesh1.allocateCells(2) + mesh1.insertNextCell(NORM_TRI3,3,[0,1,2]) #0 + mesh1.insertNextCell(NORM_TRI3,3,[1,2,3]) #1 + mesh1.finishInsertingCells() # mesh 2 - mesh2=MEDCouplingUMesh.New(); - mesh2.setMeshDimension(2); + mesh2=MEDCouplingUMesh() + mesh2.setMeshDimension(2) coords=[0.0,1.0, #0 = #3 0.0,0.0, #1 = #0 1.0,0.0, #2 = #1 1.0,1.001] #3 ~ #2 - coordsArr2=DataArrayDouble.New(coords,4,2) - mesh2.setCoords(coordsArr2); - mesh2.allocateCells(2); - mesh2.insertNextCell(NORM_TRI3,3,[2,3,0]); #0 = #1 - mesh2.insertNextCell(NORM_TRI3,3,[3,1,2]); #1 ~ #0 - mesh2.finishInsertingCells(); + coordsArr2=DataArrayDouble(coords,4,2) + mesh2.setCoords(coordsArr2) + mesh2.allocateCells(2) + mesh2.insertNextCell(NORM_TRI3,3,[2,3,0]) #0 = #1 + mesh2.insertNextCell(NORM_TRI3,3,[3,1,2]) #1 ~ #0 + mesh2.finishInsertingCells() #! [PySnippet_MEDCouplingUMesh_checkDeepEquivalWith_1] #! [PySnippet_MEDCouplingUMesh_checkDeepEquivalWith_2] cellCompPol = 1 # "permuted same orientation" - policy of medium severity @@ -1336,10 +1303,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingUMesh_checkDeepEquivalWith_3] self.assertRaises( InterpKernelException, mesh1.checkDeepEquivalOnSameNodesWith, mesh2, cellCompPol, 0.002) mesh2.setCoords(coordsArr) # make meshes share the same coordinates array - mesh2.allocateCells(2); - mesh2.insertNextCell(NORM_TRI3,3,[1,2,3]); #0 = #1 - mesh2.insertNextCell(NORM_TRI3,3,[1,0,2]); #1 ~ #0 - mesh2.finishInsertingCells(); + mesh2.allocateCells(2) + mesh2.insertNextCell(NORM_TRI3,3,[1,2,3]) #0 = #1 + mesh2.insertNextCell(NORM_TRI3,3,[1,0,2]) #1 ~ #0 + mesh2.finishInsertingCells() cellCompPol = 2 # the weakest policy mesh1.checkDeepEquivalOnSameNodesWith( mesh2, cellCompPol, 0 ) #! [PySnippet_MEDCouplingUMesh_checkDeepEquivalWith_3] @@ -1348,10 +1315,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingPointSet_scale(self): #! [PySnippet_MEDCouplingPointSet_scale_1] coords=[0.0,0.0, 1.0,0.0, 1.0,1.0, 0.0,1.0] # 2D coordinates of 4 nodes - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,4,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + coordsArr=DataArrayDouble(coords,4,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) initCoords = coordsArr.deepCpy() #! [PySnippet_MEDCouplingPointSet_scale_1] #! [PySnippet_MEDCouplingPointSet_scale_2] @@ -1369,10 +1335,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingPointSet_translate(self): #! [PySnippet_MEDCouplingPointSet_translate_1] coords=[0.0,0.0, 1.0,0.0, 1.0,1.0, 0.0,1.0] # 2D coordinates of 4 nodes - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,4,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + coordsArr=DataArrayDouble(coords,4,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) initCoords = coordsArr.deepCpy() #! [PySnippet_MEDCouplingPointSet_translate_1] #! [PySnippet_MEDCouplingPointSet_translate_2] @@ -1389,10 +1354,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingPointSet_rotate(self): #! [PySnippet_MEDCouplingPointSet_rotate_1] coords=[0.0,0.0, 0.1,0.0, 0.1,0.1, 0.0,0.1] # 2D coordinates of 4 nodes - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,4,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + coordsArr=DataArrayDouble(coords,4,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingPointSet_rotate_1] #! [PySnippet_MEDCouplingPointSet_rotate_2] center = [0.,0.] @@ -1416,10 +1380,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): #! [PySnippet_MEDCouplingPointSet_getBoundingBox_1] cc=[0.0, 0.1, 0.2, # 3D coordinates of 2 nodes 2.0, 2.1, 2.2] - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(cc,2,3); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + coordsArr=DataArrayDouble(cc,2,3) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingPointSet_getBoundingBox_1] #! [PySnippet_MEDCouplingPointSet_getBoundingBox_2] bbox=mesh.getBoundingBox() @@ -1435,15 +1398,14 @@ class MEDCouplingBasicsTest(unittest.TestCase): 0.2,-0.3, # 1 0.3,-0.302, # 2 1.1,0.0, # 3 - 0.3,-0.30299999999999];# 4 - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,5,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + 0.3,-0.30299999999999]# 4 + coordsArr=DataArrayDouble(coords,5,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingPointSet_getNodeIdsNearPoint_1] #! [PySnippet_MEDCouplingPointSet_getNodeIdsNearPoint_2] point=[0.3, -0.3] # point close to nodes #0, #2 and #4 - ids=mesh.getNodeIdsNearPoint(point,0.003); + ids=mesh.getNodeIdsNearPoint(point,0.003) assert ids.getValues() == [0,2,4] #! [PySnippet_MEDCouplingPointSet_getNodeIdsNearPoint_2] return @@ -1457,17 +1419,16 @@ class MEDCouplingBasicsTest(unittest.TestCase): 1.1,0.0, # 3 1.1,0.0, # 4 1.1,0.002, # 5 - 0.3,-0.303];# 6 - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,7,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + 0.3,-0.303]# 6 + coordsArr=DataArrayDouble(coords,7,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingPointSet_getNodeIdsNearPoints_1] #! [PySnippet_MEDCouplingPointSet_getNodeIdsNearPoints_2] points=[0.2,-0.301, # ~ node #1 0.0, 0.0, 1.1, 0.002] # ~ nodes #3, #4 and #5 - ids,idsIndex=mesh.getNodeIdsNearPoints(points,3,0.003); + ids,idsIndex=mesh.getNodeIdsNearPoints(points,3,0.003) assert ids.getValues() == [1, 3, 4, 5] assert idsIndex.getValues() == [0, 1, 1, 4] #! [PySnippet_MEDCouplingPointSet_getNodeIdsNearPoints_2] @@ -1480,11 +1441,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): 0.3,-0.302, # 2 1.1,0.0, # 3 1.1,0.0, # 4 - 0.3,-0.303];# 5 - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,6,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + 0.3,-0.303]# 5 + coordsArr=DataArrayDouble(coords,6,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingPointSet_findCommonNodes_1] #! [PySnippet_MEDCouplingPointSet_findCommonNodes_2] comm,commI=mesh.findCommonNodes(1e-13) @@ -1496,22 +1456,21 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_MEDCouplingPointSet_getCoordinatesOfNode(self): #! [PySnippet_MEDCouplingPointSet_getCoordinatesOfNode_1] - coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3]; - coordsArr=DataArrayDouble.New(); - coordsArr.setValues(coords,3,2); - mesh=MEDCouplingUMesh.New(); - mesh.setCoords(coordsArr); + coords=[-0.3,-0.3, 0.2,-0.3, 0.7,-0.3] + coordsArr=DataArrayDouble(coords,3,2) + mesh=MEDCouplingUMesh() + mesh.setCoords(coordsArr) #! [PySnippet_MEDCouplingPointSet_getCoordinatesOfNode_1] #! [PySnippet_MEDCouplingPointSet_getCoordinatesOfNode_2] nodeCoords=mesh.getCoordinatesOfNode(1) - self.assertAlmostEqual(0.2, nodeCoords[0],13); - self.assertAlmostEqual(-0.3,nodeCoords[1],13); + self.assertAlmostEqual(0.2, nodeCoords[0],13) + self.assertAlmostEqual(-0.3,nodeCoords[1],13) #! [PySnippet_MEDCouplingPointSet_getCoordinatesOfNode_2] return def testExample_DataArrayInt_getTuple(self): #! [Snippet_DataArrayInt_getTuple_1] - dv=DataArrayInt.New(); + dv=DataArrayInt() dv.alloc( 6, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1525,9 +1484,9 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_buildPermutationArr(self): #! [PySnippet_DataArrayInt_buildPermutationArr_1] - a=DataArrayInt.New() + a=DataArrayInt() a.setValues([4,5,6,7,8],5,1) - b=DataArrayInt.New() + b=DataArrayInt() b.setValues([5,4,8,6,7],5,1) c=a.buildPermutationArr(b) #! [PySnippet_DataArrayInt_buildPermutationArr_1] @@ -1537,12 +1496,12 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_invertArrayO2N2N2O(self): #! [PySnippet_DataArrayInt_invertArrayO2N2N2O_1] arr1=[2,0,4,1,5,3] - da=DataArrayInt.New(); - da.setValues(arr1,6,1); - da2=da.invertArrayO2N2N2O(6); + da=DataArrayInt() + da.setValues(arr1,6,1) + da2=da.invertArrayO2N2N2O(6) expected1=[1,3,0,5,2,4] for i in xrange(6): - self.assertEqual(expected1[i],da2.getIJ(i,0)); + self.assertEqual(expected1[i],da2.getIJ(i,0)) pass #! [PySnippet_DataArrayInt_invertArrayO2N2N2O_1] return @@ -1550,12 +1509,12 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_invertArrayN2O2O2N(self): #! [PySnippet_DataArrayInt_invertArrayN2O2O2N_1] arr1=[2,0,4,1,5,3] - da=DataArrayInt.New(); - da.setValues(arr1,6,1); - da2=da.invertArrayN2O2O2N(7); + da=DataArrayInt() + da.setValues(arr1,6,1) + da2=da.invertArrayN2O2O2N(7) expected1=[1,3,0,5,2,4,-1] for i in xrange(6): - self.assertEqual(expected1[i],da2.getIJ(i,0)); + self.assertEqual(expected1[i],da2.getIJ(i,0)) pass #! [PySnippet_DataArrayInt_invertArrayN2O2O2N_1] return @@ -1563,7 +1522,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_getIdsInRange(self): #! [PySnippet_DataArrayDouble_getIdsInRange_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 10, 1 ) da[ :, :] = range(10) da2 = da.getIdsInRange( 2.5, 6 ) @@ -1572,10 +1531,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setPartOfValues2(self): #! [Snippet_DataArrayDouble_setPartOfValues2_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 4, 7 ) # - dv=DataArrayDouble.New(); + dv=DataArrayDouble() dv.alloc( 6, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1593,10 +1552,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setPartOfValues2(self): #! [Snippet_DataArrayInt_setPartOfValues2_1] - da=DataArrayInt.New() + da=DataArrayInt() da.alloc( 4, 7 ) # - dv=DataArrayInt.New(); + dv=DataArrayInt() dv.alloc( 6, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1614,10 +1573,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setPartOfValues3(self): #! [Snippet_DataArrayDouble_setPartOfValues3_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 4, 7 ) # - dv=DataArrayDouble.New(); + dv=DataArrayDouble() dv.alloc( 6, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1635,10 +1594,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setPartOfValues3(self): #! [Snippet_DataArrayInt_setPartOfValues3_1] - da=DataArrayInt.New() + da=DataArrayInt() da.alloc( 4, 7 ) # - dv=DataArrayInt.New(); + dv=DataArrayInt() dv.alloc( 6, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1656,11 +1615,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setPartOfValues1(self): #! [Snippet_DataArrayDouble_setPartOfValues1_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 4, 4 ) da.setInfoOnComponents( ["v1","v2","v3","v4"]) # - dv=DataArrayDouble.New(); + dv=DataArrayDouble() dv.alloc( 4, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1692,11 +1651,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setPartOfValues1(self): #! [Snippet_DataArrayInt_setPartOfValues1_1] - da=DataArrayInt.New() + da=DataArrayInt() da.alloc( 4, 4 ) da.setInfoOnComponents( ["v1","v2","v3","v4"]) # - dv=DataArrayInt.New(); + dv=DataArrayInt() dv.alloc( 4, 1 ) dv.iota(7) dv.rearrange( 2 ) @@ -1728,7 +1687,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setPartOfValuesSimple1(self): #! [Snippet_DataArrayDouble_setPartOfValuesSimple1_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 4, 4 ) dv = 7 #! [Snippet_DataArrayDouble_setPartOfValuesSimple1_1] @@ -1758,7 +1717,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setPartOfValuesSimple1(self): #! [Snippet_DataArrayInt_setPartOfValuesSimple1_1] - da=DataArrayInt.New() + da=DataArrayInt() da.alloc( 4, 4 ) dv = 7 #! [Snippet_DataArrayInt_setPartOfValuesSimple1_1] @@ -1788,7 +1747,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setPartOfValuesSimple2(self): #! [Snippet_DataArrayDouble_setPartOfValuesSimple2_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 4, 4 ) dv = 7 #! [Snippet_DataArrayDouble_setPartOfValuesSimple2_1] @@ -1812,7 +1771,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setPartOfValuesSimple2(self): #! [Snippet_DataArrayInt_setPartOfValuesSimple2_1] - da=DataArrayInt.New() + da=DataArrayInt() da.alloc( 4, 4 ) dv = 7 #! [Snippet_DataArrayInt_setPartOfValuesSimple2_1] @@ -1836,7 +1795,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setPartOfValuesSimple3(self): #! [Snippet_DataArrayDouble_setPartOfValuesSimple3_1] - da=DataArrayDouble.New() + da=DataArrayDouble() da.alloc( 4, 4 ) dv = 7 #! [Snippet_DataArrayDouble_setPartOfValuesSimple3_1] @@ -1860,7 +1819,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setPartOfValuesSimple3(self): #! [Snippet_DataArrayInt_setPartOfValuesSimple3_1] - da=DataArrayInt.New() + da=DataArrayInt() da.alloc( 4, 4 ) dv = 7 #! [Snippet_DataArrayInt_setPartOfValuesSimple3_1] @@ -1884,13 +1843,12 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_setSelectedComponents(self): #! [Snippet_DataArrayDouble_setSelectedComponents1] - da=DataArrayDouble.New(); array1=[1.,2., 3.,4., 5.,6.] - da.setValues(array1,3,2) + da=DataArrayDouble(array1,3,2) da.setInfoOnComponents( ["a1","a2"]) #! [Snippet_DataArrayDouble_setSelectedComponents1] #! [Snippet_DataArrayDouble_setSelectedComponents2] - dv=DataArrayDouble.New(); + dv=DataArrayDouble() dv.alloc( 4, 4 ) dv.fillWithZero() dv.setInfoOnComponents( ["v1","v2","v3","v4"]) @@ -1905,13 +1863,13 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayInt_setSelectedComponents(self): #! [Snippet_DataArrayInt_setSelectedComponents1] - da=DataArrayInt.New(); + da=DataArrayInt() array1=[1,2, 3,4, 5,6] da.setValues(array1,3,2) da.setInfoOnComponents( ["a1","a2"]) #! [Snippet_DataArrayInt_setSelectedComponents1] #! [Snippet_DataArrayInt_setSelectedComponents2] - dv=DataArrayInt.New(); + dv=DataArrayInt() dv.alloc( 4, 4 ) dv.fillWithZero() dv.setInfoOnComponents( ["v1","v2","v3","v4"]) @@ -1926,27 +1884,25 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExample_DataArrayDouble_getDifferentValues(self): #! [Snippet_DataArrayDouble_getDifferentValues1] - da=DataArrayDouble.New(); array1=[2.3,1.2,1.3,2.3,2.301,0.8] - da.setValues(array1,6,1) + da=DataArrayDouble(array1,6,1) # - dv=da.getDifferentValues(2e-1); + dv=da.getDifferentValues(2e-1) expected2=[2.301,1.3,0.8] - self.assertEqual(3,dv.getNbOfElems()); + self.assertEqual(3,dv.getNbOfElems()) for i in xrange(3): - self.assertAlmostEqual(expected2[i],dv.getIJ(i,0),14); + self.assertAlmostEqual(expected2[i],dv.getIJ(i,0),14) pass #! [Snippet_DataArrayDouble_getDifferentValues1] return def testExample_DataArrayDouble_findCommonTuples1(self): #! [PySnippet_DataArrayDouble_findCommonTuples1] - da=DataArrayDouble.New(); array2=[2.3,2.3, 1.2,1.2, 1.3,1.3, 2.3,2.3, 2.301,2.301, 0.8,0.8] - da.setValues(array2,6,2) + da=DataArrayDouble(array2,6,2) #! [PySnippet_DataArrayDouble_findCommonTuples1] #! [PySnippet_DataArrayDouble_findCommonTuples2] - c,cI=da.findCommonTuples(1.01e-1); + c,cI=da.findCommonTuples(1.01e-1) expected3=[0,3,4,1,2] expected4=[0,3,5] self.assertEqual(expected3,c.getValues()) @@ -1956,40 +1912,40 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExampleDataArrayDoubleMeldWith(self): #! [PySnippet_DataArrayDouble_Meld1_1] - da1=DataArrayDouble.New(); - da1.alloc(7,2); - da2=DataArrayDouble.New(); - da2.alloc(7,1); + da1=DataArrayDouble() + da1.alloc(7,2) + da2=DataArrayDouble() + da2.alloc(7,1) # - da1.fillWithValue(7.); - da2.iota(0.); - da3=da2.applyFunc(3,"10*x*IVec+100*x*JVec+1000*x*KVec"); + da1.fillWithValue(7.) + da2.iota(0.) + da3=da2.applyFunc(3,"10*x*IVec+100*x*JVec+1000*x*KVec") # - da1.setInfoOnComponent(0,"c0da1"); - da1.setInfoOnComponent(1,"c1da1"); - da3.setInfoOnComponent(0,"c0da3"); - da3.setInfoOnComponent(1,"c1da3"); - da3.setInfoOnComponent(2,"c2da3"); + da1.setInfoOnComponent(0,"c0da1") + da1.setInfoOnComponent(1,"c1da1") + da3.setInfoOnComponent(0,"c0da3") + da3.setInfoOnComponent(1,"c1da3") + da3.setInfoOnComponent(2,"c2da3") # - da1C=da1.deepCpy(); - da1.meldWith(da3); + da1C=da1.deepCpy() + da1.meldWith(da3) #! [PySnippet_DataArrayDouble_Meld1_1] def testExampleDataArrayIntMeldWith(self): #! [PySnippet_DataArrayInt_Meld1_1] - da1=DataArrayInt.New(); - da1.alloc(7,2); - da2=DataArrayInt.New(); - da2.alloc(7,1); + da1=DataArrayInt() + da1.alloc(7,2) + da2=DataArrayInt() + da2.alloc(7,1) # - da1.fillWithValue(7); - da2.iota(0); + da1.fillWithValue(7) + da2.iota(0) # - da1.setInfoOnComponent(0,"c0da1"); - da1.setInfoOnComponent(1,"c1da1"); - da2.setInfoOnComponent(0,"c0da2"); + da1.setInfoOnComponent(0,"c0da1") + da1.setInfoOnComponent(1,"c1da1") + da2.setInfoOnComponent(0,"c0da2") # - da1.meldWith(da2); + da1.meldWith(da2) #! [PySnippet_DataArrayInt_Meld1_1] def testExampleDataArrayDoubleKeepSelectedComponents1(self): @@ -1999,12 +1955,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): 21.,22.,23.,24., # ... 31.,32.,33.,34., 41.,42.,43.,44.] - a1=DataArrayDouble.New() - a1.setValues(arr1,5,4) - a1.setInfoOnComponent(0,"a"); - a1.setInfoOnComponent(1,"b"); - a1.setInfoOnComponent(2,"c"); - a1.setInfoOnComponent(3,"d"); + a1=DataArrayDouble(arr1,5,4) + a1.setInfoOnComponent(0,"a") + a1.setInfoOnComponent(1,"b") + a1.setInfoOnComponent(2,"c") + a1.setInfoOnComponent(3,"d") #! [SnippeDataArrayDoubleKeepSelectedComponents1_1] #! [SnippeDataArrayDoubleKeepSelectedComponents1_2] arr2V=[1,2,1,2,0,0] @@ -2019,12 +1974,12 @@ class MEDCouplingBasicsTest(unittest.TestCase): 21,22,23,24, # 31,32,33,34, 41,42,43,44] - a1=DataArrayInt.New() + a1=DataArrayInt() a1.setValues(arr1,5,4) - a1.setInfoOnComponent(0,"a"); - a1.setInfoOnComponent(1,"b"); - a1.setInfoOnComponent(2,"c"); - a1.setInfoOnComponent(3,"d"); + a1.setInfoOnComponent(0,"a") + a1.setInfoOnComponent(1,"b") + a1.setInfoOnComponent(2,"c") + a1.setInfoOnComponent(3,"d") #! [SnippeDataArrayIntKeepSelectedComponents1_1] #! [SnippeDataArrayIntKeepSelectedComponents1_2] arr2V=[1,2,1,2,0,0] @@ -2039,12 +1994,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): from MEDCouplingDataForTest import MEDCouplingDataForTest #! [PySnippetFieldDoubleBuildSubPart1_1] mesh1=MEDCouplingDataForTest.build2DTargetMesh_1() - f1=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME) + f1=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) f1.setTime(2.3,5,6) f1.setMesh(mesh1) - array=DataArrayDouble.New() arr1=[3.,103.,4.,104.,5.,105.,6.,106.,7.,107.] - array.setValues(arr1,mesh1.getNumberOfCells(),2) + array=DataArrayDouble(arr1,mesh1.getNumberOfCells(),2) f1.setArray(array) # ! [PySnippetFieldDoubleBuildSubPart1_1] # ! [PySnippetFieldDoubleBuildSubPart1_2] @@ -2074,12 +2028,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertEqual(expected4,list(m2C.getNodalConnectivityIndex().getValues())) # Test with field on nodes. # ! [PySnippetFieldDoubleBuildSubPart1_3] - f1=MEDCouplingFieldDouble.New(ON_NODES,ONE_TIME) + f1=MEDCouplingFieldDouble(ON_NODES,ONE_TIME) f1.setTime(2.3,5,6) f1.setMesh(mesh1) - array=DataArrayDouble.New() arr2=[3.,103.,4.,104.,5.,105.,6.,106.,7.,107.,8.,108.,9.,109.,10.,110.,11.,111.] - array.setValues(arr2,mesh1.getNumberOfNodes(),2) + array=DataArrayDouble(arr2,mesh1.getNumberOfNodes(),2) f1.setArray(array) # ! [PySnippetFieldDoubleBuildSubPart1_3] # ! [PySnippetFieldDoubleBuildSubPart1_4] @@ -2106,7 +2059,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertEqual(expected4[:3],[int(i) for i in m2C.getNodalConnectivityIndex()]) #idem previous because nodes of cell#4 are not fully present in part3 part3=[1,2] - arrr=DataArrayInt.New() + arrr=DataArrayInt() arrr.setValues(part3,2,1) f2=f1.buildSubPart(arrr) self.assertEqual(4,f2.getNumberOfTuples()) @@ -2158,7 +2111,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): nodalConnPerCell=[0,3,4,1, 1,4,2, 4,5,2, 6,7,4,3, 7,8,5,4] # ! [PySnippetUMeshStdBuild1_1] # ! [PySnippetUMeshStdBuild1_2] - mesh=MEDCouplingUMesh.New("My2DMesh",2) + mesh=MEDCouplingUMesh("My2DMesh",2) # ! [PySnippetUMeshStdBuild1_2] # ! [PySnippetUMeshStdBuild1_3] mesh.allocateCells(5)#You can put more than 5 if you want but not less. @@ -2170,7 +2123,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): mesh.finishInsertingCells() # ! [PySnippetUMeshStdBuild1_3] # ! [PySnippetUMeshStdBuild1_4] - coordsArr=DataArrayDouble.New(coords,9,3)#here coordsArr are declared to have 3 components, mesh will deduce that its spaceDim==3. + coordsArr=DataArrayDouble(coords,9,3)#here coordsArr are declared to have 3 components, mesh will deduce that its spaceDim==3. mesh.setCoords(coordsArr)#coordsArr contains 9 tuples, that is to say mesh contains 9 nodes. # ! [PySnippetUMeshStdBuild1_4] # ! [PySnippetUMeshStdBuild1_5] @@ -2182,13 +2135,13 @@ class MEDCouplingBasicsTest(unittest.TestCase): # ! [PySnippetCMeshStdBuild1_1] XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22] # 9 values along X YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007] # 7 values along Y - arrX=DataArrayDouble.New(XCoords) + arrX=DataArrayDouble(XCoords) arrX.setInfoOnComponent(0,"X [m]") - arrY=DataArrayDouble.New(YCoords) + arrY=DataArrayDouble(YCoords) arrY.setInfoOnComponent(0,"Y [m]") # ! [PySnippetCMeshStdBuild1_1] # ! [PySnippetCMeshStdBuild1_2] - mesh=MEDCouplingCMesh.New("My2D_CMesh") + mesh=MEDCouplingCMesh("My2D_CMesh") mesh.setCoords(arrX,arrY) # ! [PySnippetCMeshStdBuild1_2] # ! [PySnippetCMeshStdBuild1_3] @@ -2197,7 +2150,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertEqual(2,mesh.getSpaceDimension()) self.assertEqual(2,mesh.getMeshDimension()) # ! [PySnippetCMeshStdBuild1_3] - mesh=MEDCouplingCMesh.New("My2D_CMesh") + mesh=MEDCouplingCMesh("My2D_CMesh") # ! [PySnippetCMeshStdBuild1_2bis] mesh.setCoordsAt(0,arrX) mesh.setCoordsAt(1,arrY) @@ -2216,15 +2169,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): nodalConnPerCellIndex=[0,5,9,13,18,23] # ! [PySnippetUMeshAdvBuild1_1] # ! [PySnippetUMeshAdvBuild1_2] - mesh=MEDCouplingUMesh.New("My2DMesh",2) + mesh=MEDCouplingUMesh("My2DMesh",2) # ! [PySnippetUMeshAdvBuild1_2] # ! [PySnippetUMeshAdvBuild1_3] - nodalConn=DataArrayInt.New(nodalConnPerCell,23,1) - nodalConnI=DataArrayInt.New(nodalConnPerCellIndex,6,1) + nodalConn=DataArrayInt(nodalConnPerCell,23,1) + nodalConnI=DataArrayInt(nodalConnPerCellIndex,6,1) mesh.setConnectivity(nodalConn,nodalConnI,True) # ! [PySnippetUMeshAdvBuild1_3] # ! [PySnippetUMeshAdvBuild1_4] - coordsArr=DataArrayDouble.New(coords,9,3)#here coordsArr are declared to have 3 components, mesh will deduce that its spaceDim==3. + coordsArr=DataArrayDouble(coords,9,3)#here coordsArr are declared to have 3 components, mesh will deduce that its spaceDim==3. mesh.setCoords(coordsArr)#coordsArr contains 9 tuples, that is to say mesh contains 9 nodes. # ! [PySnippetUMeshAdvBuild1_4] # ! [PySnippetUMeshAdvBuild1_5] @@ -2237,34 +2190,34 @@ class MEDCouplingBasicsTest(unittest.TestCase): dataDouble=[0.,10.,20.,1.,11.,21.,2.,12.,22.,3.,13.,23.,4.,14.,24.] # ! [PySnippetDataArrayBuild1_0] # ! [PySnippetDataArrayBuild1_1] - arrayDouble=DataArrayDouble.New() + arrayDouble=DataArrayDouble() arrayDouble.setValues(dataDouble,5,3)# 5 tuples containing each 3 components # ! [PySnippetDataArrayBuild1_1] # ! [PySnippetDataArrayBuild1_1bis] - arrayDouble=DataArrayDouble.New(dataDouble,5,3) + arrayDouble=DataArrayDouble(dataDouble,5,3) # ! [PySnippetDataArrayBuild1_1bis] # ! [PySnippetDataArrayBuild1_2] dataInt=[0, 10, 20, 1, 11, 21, 2, 12, 22, 3, 13, 23, 4, 14, 24] # ! [PySnippetDataArrayBuild1_2] # ! [PySnippetDataArrayBuild1_3] - arrayInt=DataArrayInt.New() + arrayInt=DataArrayInt() arrayInt.setValues(dataInt,5,3)# 5 tuples containing each 3 components # ! [PySnippetDataArrayBuild1_3] # ! [PySnippetDataArrayBuild1_3bis] - arrayInt=DataArrayInt.New(dataInt,5,3) + arrayInt=DataArrayInt(dataInt,5,3) # ! [PySnippetDataArrayBuild1_3bis] return def testExampleFieldDoubleBuild1(self): - XCoords=[-0.3,0.07,0.1,0.3,0.45,0.47,0.49,1.,1.22] ; arrX=DataArrayDouble.New(XCoords) - YCoords=[0.07,0.1,0.37,0.45,0.47,0.49,1.007] ; arrY=DataArrayDouble.New(YCoords) - mesh=MEDCouplingCMesh.New("My2D_CMesh") + XCoords=[-0.3,0.07,0.1,0.3,0.45,0.47,0.49,1.,1.22]; arrX=DataArrayDouble(XCoords) + YCoords=[0.07,0.1,0.37,0.45,0.47,0.49,1.007]; arrY=DataArrayDouble(YCoords) + mesh=MEDCouplingCMesh("My2D_CMesh") mesh.setCoords(arrX,arrY) # ! [PySnippetFieldDoubleBuild1_1] - fieldOnCells=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME) + fieldOnCells=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) fieldOnCells.setName("MyTensorFieldOnCellNoTime") fieldOnCells.setMesh(mesh) - array=DataArrayDouble.New() + array=DataArrayDouble() array.alloc(fieldOnCells.getMesh().getNumberOfCells(),9) # Implicitely fieldOnCells will be a 9 components field. array.fillWithValue(7.) fieldOnCells.setArray(array) @@ -2288,15 +2241,15 @@ class MEDCouplingBasicsTest(unittest.TestCase): return def testExampleFieldDoubleBuild2(self): - XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22] ; arrX=DataArrayDouble.New(XCoords) - YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007] ; arrY=DataArrayDouble.New(YCoords) - mesh=MEDCouplingCMesh.New("My2D_CMesh") + XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22]; arrX=DataArrayDouble(XCoords) + YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007]; arrY=DataArrayDouble(YCoords) + mesh=MEDCouplingCMesh("My2D_CMesh") mesh.setCoords(arrX,arrY) # ! [PySnippetFieldDoubleBuild2_1] - fieldOnNodes=MEDCouplingFieldDouble.New(ON_NODES,NO_TIME) + fieldOnNodes=MEDCouplingFieldDouble(ON_NODES,NO_TIME) fieldOnNodes.setName("MyScalarFieldOnNodeNoTime") fieldOnNodes.setMesh(mesh) - array=DataArrayDouble.New() + array=DataArrayDouble() array.alloc(fieldOnNodes.getMesh().getNumberOfNodes(),1) # Implicitely fieldOnNodes will be a 1 component field. array.fillWithValue(7.) fieldOnNodes.setArray(array) @@ -2306,17 +2259,17 @@ class MEDCouplingBasicsTest(unittest.TestCase): return def testExampleFieldDoubleBuild3(self): - XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22] ; arrX=DataArrayDouble.New(XCoords) - YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007] ; arrY=DataArrayDouble.New(YCoords) - mesh=MEDCouplingCMesh.New("My2D_CMesh") + XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22]; arrX=DataArrayDouble(XCoords) + YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007]; arrY=DataArrayDouble(YCoords) + mesh=MEDCouplingCMesh("My2D_CMesh") mesh.setCoords(arrX,arrY) # ! [PySnippetFieldDoubleBuild3_1] - fieldOnCells=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME) + fieldOnCells=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) fieldOnCells.setName("MyTensorFieldOnCellNoTime") fieldOnCells.setTimeUnit("ms") # Time unit is ms. fieldOnCells.setTime(4.22,2,-1) # Time attached is 4.22 ms, iteration id is 2 and order id (or sub iteration id) is -1 fieldOnCells.setMesh(mesh) - array=DataArrayDouble.New() + array=DataArrayDouble() array.alloc(fieldOnCells.getMesh().getNumberOfCells(),2) # Implicitely fieldOnCells will be a 2 components field. array.fillWithValue(7.) fieldOnCells.setArray(array) @@ -2326,18 +2279,18 @@ class MEDCouplingBasicsTest(unittest.TestCase): return def testExampleFieldDoubleBuild4(self): - XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22] ; arrX=DataArrayDouble.New(XCoords) - YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007] ; arrY=DataArrayDouble.New(YCoords) - mesh=MEDCouplingCMesh.New("My2D_CMesh") + XCoords=[-0.3,0.,0.1,0.3,0.45,0.47,0.49,1.,1.22]; arrX=DataArrayDouble(XCoords) + YCoords=[0.,0.1,0.37,0.45,0.47,0.49,1.007]; arrY=DataArrayDouble(YCoords) + mesh=MEDCouplingCMesh("My2D_CMesh") mesh.setCoords(arrX,arrY) # ! [PySnippetFieldDoubleBuild4_1] - fieldOnNodes=MEDCouplingFieldDouble.New(ON_NODES,CONST_ON_TIME_INTERVAL) + fieldOnNodes=MEDCouplingFieldDouble(ON_NODES,CONST_ON_TIME_INTERVAL) fieldOnNodes.setName("MyVecFieldOnNodeWithConstTime") fieldOnNodes.setTimeUnit("ms") # Time unit is ms. fieldOnNodes.setStartTime(4.22,2,-1) fieldOnNodes.setEndTime(6.44,4,-1)# fieldOnNodes is defined in interval [4.22 ms,6.44 ms] fieldOnNodes.setMesh(mesh) - array=DataArrayDouble.New() + array=DataArrayDouble() array.alloc(fieldOnNodes.getMesh().getNumberOfNodes(),3) # Implicitely fieldOnNodes will be a 3 components field. array.fillWithValue(7.) fieldOnNodes.setArray(array) @@ -2348,11 +2301,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): def testExampleDataArrayApplyFunc1(self): # ! [PySnippetDataArrayApplyFunc1_1] - d=DataArrayDouble.New([1.,2.,11.,12.,21.,22.,31.,41.],4,2) + d=DataArrayDouble([1.,2.,11.,12.,21.,22.,31.,41.],4,2) self.assertRaises(InterpKernelException,d.applyFunc,"x*y") # ! [PySnippetDataArrayApplyFunc1_1] # ! [PySnippetDataArrayApplyFunc1_2] - d=DataArrayDouble.New([1.,2.,11.,12.,21.,22.,31.,41.],4,2) + d=DataArrayDouble([1.,2.,11.,12.,21.,22.,31.,41.],4,2) d1=d.applyFunc("smth*smth") self.assertTrue(d1.isEqual(DataArrayDouble([1.,4.,121.,144.,441.,484.,961.,1681.],4,2),1e-12)) # ! [PySnippetDataArrayApplyFunc1_2] @@ -2361,7 +2314,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertTrue(d2.isEqual(DataArrayDouble([1.,4.,11.,24.,21.,44.,31.,82.],4,2),1e-12)) # ! [PySnippetDataArrayApplyFunc1_3] # ! [PySnippetDataArrayApplyFunc1_4] - dd=DataArrayDouble.New([1.,4.,3.,11.,144.,13.,21.,484.,23.,31.,1024.,33.],4,3) + dd=DataArrayDouble([1.,4.,3.,11.,144.,13.,21.,484.,23.,31.,1024.,33.],4,3) # ! [PySnippetDataArrayApplyFunc1_4] # ! [PySnippetDataArrayApplyFunc1_5] dd1=dd.applyFunc(1,"f+sqrt(g)+h") @@ -2372,7 +2325,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertTrue(dd2.isEqual(DataArrayDouble([4.,24.,44.,64.],4,1),1e-12)) # ! [PySnippetDataArrayApplyFunc1_6] # ! [PySnippetDataArrayApplyFunc1_7] - ddd=DataArrayDouble.New([1.,4.,3.,11.,144.,13.,21.,484.,23.,31.,1024.,33.],4,3) + ddd=DataArrayDouble([1.,4.,3.,11.,144.,13.,21.,484.,23.,31.,1024.,33.],4,3) ddd.setInfoOnComponents(["Y [m]","AA [m/s]","GG [MW]"]) # ! [PySnippetDataArrayApplyFunc1_7] # ! [PySnippetDataArrayApplyFunc1_8] diff --git a/src/MEDLoader/MEDFileField.cxx b/src/MEDLoader/MEDFileField.cxx index cc4974c17..932e70028 100644 --- a/src/MEDLoader/MEDFileField.cxx +++ b/src/MEDLoader/MEDFileField.cxx @@ -2570,7 +2570,7 @@ MFFPMIter2::MFFPMIter2(const std::vector& cts } } -/// @cond INTERNAL +/// @endcond MEDFileFieldPerMesh::MEDFileFieldPerMesh(med_idt fid, MEDFileAnyTypeField1TSWithoutSDA *fath, int meshCsit, int meshIteration, int meshOrder, const MEDFileFieldNameScope& nasc, const MEDFileMesh *mm, const std::vector< std::pair > *entities):_mesh_iteration(meshIteration),_mesh_order(meshOrder), _father(fath) @@ -2942,6 +2942,7 @@ const MEDFileFieldLoc& MEDFileFieldGlobs::getLocalizationFromId(int locId) const return *_locs[locId]; } +/// @cond INTERNAL namespace ParaMEDMEMImpl { class LocFinder @@ -2962,6 +2963,7 @@ namespace ParaMEDMEMImpl const std::string& _pfl; }; } +/// @endcond int MEDFileFieldGlobs::getLocalizationId(const std::string& loc) const { diff --git a/src/MEDLoader/MEDFileMesh.cxx b/src/MEDLoader/MEDFileMesh.cxx index 812e30c1a..a2ae03287 100644 --- a/src/MEDLoader/MEDFileMesh.cxx +++ b/src/MEDLoader/MEDFileMesh.cxx @@ -3767,12 +3767,14 @@ bool MEDFileUMesh::unPolyze(std::vector& oldCode, std::vector& newCode return ret; } +/*! \cond HIDDEN_ITEMS */ struct MEDLoaderAccVisit1 { MEDLoaderAccVisit1():_new_nb_of_nodes(0) { } int operator()(bool val) { return val?_new_nb_of_nodes++:-1; } int _new_nb_of_nodes; }; +/*! \endcond */ /*! * Array returned is the correspondance in \b old \b to \b new format. The returned array is newly created and should be dealt by the caller. diff --git a/src/MEDLoader/MEDLoader.cxx b/src/MEDLoader/MEDLoader.cxx index 9c7189655..70c6d889a 100644 --- a/src/MEDLoader/MEDLoader.cxx +++ b/src/MEDLoader/MEDLoader.cxx @@ -44,6 +44,15 @@ #include #include +/*! \class MEDLoader + * + * \brief Static class offering the "basic" API to read and write MED files/ + * + * This class implements only static methods and offers the high level API to access MED files. + * Take a look at \ref medloader for more details. + * + */ + med_geometry_type typmai[MED_N_CELL_FIXED_GEO] = { MED_POINT1, MED_SEG2, MED_SEG3, diff --git a/src/MEDOP/CMakeLists.txt b/src/MEDOP/CMakeLists.txt index 276489a86..1818efef3 100644 --- a/src/MEDOP/CMakeLists.txt +++ b/src/MEDOP/CMakeLists.txt @@ -28,7 +28,3 @@ IF(SALOME_MED_ENABLE_PYTHON) ADD_SUBDIRECTORY(tui) ADD_SUBDIRECTORY(exe) ENDIF() - -IF(SALOME_BUILD_DOC) - ADD_SUBDIRECTORY(doc) -ENDIF(SALOME_BUILD_DOC) diff --git a/src/ParaMEDMEM/CommInterface.cxx b/src/ParaMEDMEM/CommInterface.cxx index ae9e2d9f1..948f099d8 100644 --- a/src/ParaMEDMEM/CommInterface.cxx +++ b/src/ParaMEDMEM/CommInterface.cxx @@ -21,14 +21,17 @@ namespace ParaMEDMEM { - /*! \defgroup comm_interface CommInterface - Class \a CommInterface is the gateway to the MPI library. + /*! \anchor CommInterface-det + \class CommInterface + + The class \a CommInterface is the gateway to the MPI library. + It is a helper class that gathers the calls to the MPI - library that are made in the ParaMEDMEM library. This gathering + library that are made in the %ParaMEDMEM library. This gathering allows easier gathering of information about the communication in the library. - It is typically called after the MPI_Init() call in a program. It is afterwards passed as a parameter to the constructors of ParaMEDMEM objects so that they access the MPI library via the CommInterface. + It is typically called after the MPI_Init() call in a program. It is afterwards passed as a parameter to the constructors of %ParaMEDMEM objects so that they access the MPI library via the CommInterface. As an example, the following code excerpt initializes a processor group made of the zero processor. diff --git a/src/ParaMEDMEM/DisjointDEC.cxx b/src/ParaMEDMEM/DisjointDEC.cxx index f3f9bf666..e8ee329e9 100644 --- a/src/ParaMEDMEM/DisjointDEC.cxx +++ b/src/ParaMEDMEM/DisjointDEC.cxx @@ -31,49 +31,47 @@ #include #include -/*! \defgroup dec DEC - * - * \section decintroduction Introduction - * - * Interface class for creation of a link between two - * processor groups for exhanging mesh or field data. - * The \c DEC is defined by attaching a field on the receiving or on the - * sending side. - * On top of attaching a \c ParaMEDMEM::FIELD, it is possible to - * attach a ICoCo::Field. This class is an abstract class that enables - * coupling of codes that respect the ICoCo interface \ref icoco. It has two implementations: - * one for codes that express their fields as \ref medoupling fields (ICoCo::MEDField). - * - * \section dec_options DEC Options - * Options supported by \c DEC objects are - * - * - * - * - *
OptionDescriptionDefault value
ForcedRenormalizationAfter receiving data, the target field is renormalized so that L2-norms of the source and target fields match. false
- - - The following code excerpt shows how to set options for an object that inherits from \c DEC : - - \code - InterpKernelDEC dec(source_group,target_group); - dec.setOptions("ForcedRenormalization",true); - dec.attachLocalField(field); - dec.synchronize(); - if (source_group.containsMyRank()) - dec.sendData(); - else - dec.recvData(); - \endcode -*/ namespace ParaMEDMEM { - - /*! \addtogroup dec - @{ + /*! + * \anchor DisjointDEC-det + * \class DisjointDEC + * + * Interface class for creation of a link between two + * processor groups for exhanging mesh or field data. + * The \c DEC is defined by attaching a field on the receiving or on the + * sending side. + * On top of attaching a \c ParaMEDMEM::ParaFIELD, it is possible to + * attach a ICoCo::Field. This class is an abstract class that enables + * coupling of codes that respect the ICoCo interface \ref icoco. It has two implementations: + * one for codes that express their fields as \ref fields "MEDCoupling fields" (ICoCo::MEDField). + * + * \section dec_options DEC Options + * Options supported by \c DEC objects are + * + * + * + * + *
OptionDescriptionDefault value
ForcedRenormalizationAfter receiving data, the target field is renormalized so that L2-norms of the source and target fields match. false
+ + + The following code excerpt shows how to set options for an object that inherits from \c DEC : + + \code + InterpKernelDEC dec(source_group,target_group); + dec.setOptions("ForcedRenormalization",true); + dec.attachLocalField(field); + dec.synchronize(); + if (source_group.containsMyRank()) + dec.sendData(); + else + dec.recvData(); + \endcode */ + + DisjointDEC::DisjointDEC(ProcessorGroup& source_group, ProcessorGroup& target_group):_local_field(0), _source_group(&source_group), _target_group(&target_group), @@ -305,7 +303,6 @@ namespace ParaMEDMEM } } } - /*! @} */ bool DisjointDEC::isInSourceSide() const { diff --git a/src/ParaMEDMEM/ExplicitCoincidentDEC.cxx b/src/ParaMEDMEM/ExplicitCoincidentDEC.cxx index 79852a1ca..5d30c60d4 100644 --- a/src/ParaMEDMEM/ExplicitCoincidentDEC.cxx +++ b/src/ParaMEDMEM/ExplicitCoincidentDEC.cxx @@ -32,7 +32,14 @@ using namespace std; namespace ParaMEDMEM { - /*! \defgroup explicitcoincidentdec ExplicitCoincidentDEC + /*! + * \anchor ExplicitCoincidentDEC-det + * \class ExplicitCoincidentDEC + * + * TODO: doc + */ + + /*! Constructor */ ExplicitCoincidentDEC::ExplicitCoincidentDEC():_toposource(0),_topotarget(0) { @@ -42,12 +49,6 @@ namespace ParaMEDMEM { } - - /*! - \addtogroup explicitcoincidentdec - @{ - */ - /*! Synchronization process for exchanging topologies */ void ExplicitCoincidentDEC::synchronize() @@ -388,8 +389,5 @@ namespace ParaMEDMEM _comm_interface->allToAllV(_sendbuffer, _sendcounts, _senddispls, MPI_DOUBLE, _recvbuffer, _recvcounts, _recvdispls, MPI_DOUBLE,MPI_COMM_WORLD); } - /*! - @} - */ } diff --git a/src/ParaMEDMEM/InterpKernelDEC.cxx b/src/ParaMEDMEM/InterpKernelDEC.cxx index e8605ded2..a7557e509 100644 --- a/src/ParaMEDMEM/InterpKernelDEC.cxx +++ b/src/ParaMEDMEM/InterpKernelDEC.cxx @@ -34,21 +34,34 @@ namespace ParaMEDMEM { /*! - \defgroup interpkerneldec InterpKernelDEC + \anchor InterpKernelDEC-det + \class InterpKernelDEC - \section overview Overview + \section dec-over Overview - The InterpKernelDEC enables the \ref conservativeremapping of fields between two parallel codes. This remapping is based on the computation of intersection volumes between elements from code A and elements from code B. The computation is possible for 3D meshes, 2D meshes, and 3D-surface meshes. Dimensions must be similar for code A and code B (for instance, though it could be desirable, it is not yet possible to couple 3D surfaces with 2D surfaces). + The InterpKernelDEC enables the \ref InterpKerRemapGlobal "remapping" of fields between two parallel codes. + This remapping is based on the computation of intersection volumes between elements from code A + and elements from code B. The computation is possible for 3D meshes, 2D meshes, and 3D-surface + meshes. Dimensions must be similar for code A and code B (for instance, though it could be + desirable, it is not yet possible to couple 3D surfaces with 2D surfaces). In the present version, only fields lying on elements are considered. - \image html NonCoincident_small.png "Example showing the transfer from a field based on a quadrangular mesh to a triangular mesh. In a P0-P0 interpolation, to obtain the value on a triangle, the values on quadrangles are weighted by their intersection area and summed." + \image html NonCoincident_small.png "Example showing the transfer from a field based on a + quadrangular mesh to a triangular mesh. In a P0-P0 interpolation, to obtain the value on a triangle, + the values on quadrangles are weighted by their intersection area and summed." - \image latex NonCoincident_small.eps "Example showing the transfer from a field based on a quadrangular mesh to a triangular mesh. In a P0-P0 interpolation, to obtain the value on a triangle, the values on quadrangles are weighted by their intersection area and summed." + \image latex NonCoincident_small.eps "Example showing the transfer from a field based on a quadrangular + mesh to a triangular mesh. In a P0-P0 interpolation, to obtain the value on a triangle, the values + on quadrangles are weighted by their intersection area and summed." A typical use of InterpKernelDEC encompasses two distinct phases : - - A setup phase during which the intersection volumes are computed and the communication structures are setup. This corresponds to calling the InterpKernelDEC::synchronize() method. - - A use phase during which the remappings are actually performed. This corresponds to the calls to sendData() and recvData() which actually trigger the data exchange. The data exchange are synchronous in the current version of the library so that recvData() and sendData() calls must be synchronized on code A and code B processor groups. + - A setup phase during which the intersection volumes are computed and the communication structures are + setup. This corresponds to calling the InterpKernelDEC::synchronize() method. + - A use phase during which the remappings are actually performed. This corresponds to the calls to + sendData() and recvData() which actually trigger the data exchange. The data exchange are synchronous + in the current version of the library so that recvData() and sendData() calls must be synchronized + on code A and code B processor groups. The following code excerpt illutrates a typical use of the InterpKernelDEC class. @@ -63,12 +76,19 @@ namespace ParaMEDMEM dec.sendData(); ... \endcode - A \ref conservativeremapping of the field from the source mesh to the target mesh is performed by the function synchronise(), which computes the \ref remappingmatrix. + A \ref InterpKerRemapGlobal "remapping" of the field from the source mesh to the target mesh is performed by + the function synchronise(), which computes the interpolation matrix. - Computing the field on the receiving side can be expressed in terms of a matrix-vector product : \f$ \phi_t=W.\phi_s\f$, with \f$ \phi_t \f$ the field on the target side and \f$ \phi_s \f$ the field on the source side. - When remapping a 3D surface to another 3D surface, a projection phase is necessary to match elements from both sides. Care must be taken when defining this projection to obtain a \ref conservative remapping. + Computing the field on the receiving side can be expressed in terms of a matrix-vector product : + \f$ \phi_t=W.\phi_s\f$, with \f$ \phi_t \f$ the field on the target side and \f$ \phi_s \f$ the field + on the source side. + When remapping a 3D surface to another 3D surface, a projection phase is necessary to match elements + from both sides. Care must be taken when defining this projection to obtain a + \ref InterpKerRemapGlobal "conservative remapping". - In the P0-P0 case, this matrix is a plain rectangular matrix with coefficients equal to the intersection areas between triangle and quadrangles. For instance, in the above figure, the matrix is : + In the P0-P0 case, this matrix is a plain rectangular matrix with coefficients equal to the + intersection areas between triangle and quadrangles. For instance, in the above figure, the matrix + is : \f[ \begin{tabular}{|cccc|} @@ -85,7 +105,8 @@ namespace ParaMEDMEM On top of \ref dec_options, options supported by %InterpKernelDEC objects are related to the underlying Intersector class. All the options available in the intersector objects are - available for the %InterpKernelDEC object. The various options available for * intersectors can be reviewed in \ref InterpKerIntersectors. + available for the %InterpKernelDEC object. The various options available for * intersectors can + be reviewed in \ref InterpKerIntersectors. For instance : \verbatim @@ -98,11 +119,6 @@ namespace ParaMEDMEM \warning{ Options must be set before calling the synchronize method. } */ - - /*! - \addtogroup interpkerneldec - @{ - */ InterpKernelDEC::InterpKernelDEC():_interpolation_matrix(0) { @@ -272,9 +288,5 @@ namespace ParaMEDMEM _interpolation_matrix->getAccessDEC()->setTime(time,deltatime); sendData() ; } - - /*! - @} - */ } diff --git a/src/ParaMEDMEM/InterpolationMatrix.cxx b/src/ParaMEDMEM/InterpolationMatrix.cxx index 99c12981a..8b8c50f61 100644 --- a/src/ParaMEDMEM/InterpolationMatrix.cxx +++ b/src/ParaMEDMEM/InterpolationMatrix.cxx @@ -39,27 +39,20 @@ #include -// class InterpolationMatrix -// This class enables the storage of an interpolation matrix Wij mapping -// source field Sj to target field Ti via Ti=Vi^(-1).Wij.Sj. -// The matrix is built and stored on the processors belonging to the source -// group. - using namespace std; namespace ParaMEDMEM { - // ==================================================================== - // Creates an empty matrix structure linking two distributed supports. - // The method must be called by all processors belonging to source - // and target groups. - // param source_support local support - // param source_group processor group containing the local processors - // param target_group processor group containing the distant processors - // param method interpolation method - // ==================================================================== - + /**! + Creates an empty matrix structure linking two distributed supports. + The method must be called by all processors belonging to source + and target groups. + \param source_support local support + \param source_group processor group containing the local processors + \param target_group processor group containing the distant processors + \param method interpolation method + */ InterpolationMatrix::InterpolationMatrix(const ParaMEDMEM::ParaFIELD *source_field, const ProcessorGroup& source_group, const ProcessorGroup& target_group, @@ -84,22 +77,21 @@ namespace ParaMEDMEM } - // ====================================================================== - // \brief Adds the contribution of a distant subdomain to the* - // interpolation matrix. - // The method adds contribution to the interpolation matrix. - // For each row of the matrix, elements are addded as - // a (column, coeff) pair in the _coeffs array. This column number refers - // to an element on the target side via the _col_offsets array. - // It is made of a series of (iproc, ielem) pairs. - // The number of elements per row is stored in the row_offsets array. - - // param distant_support local representation of the distant subdomain - // param iproc_distant id of the distant subdomain (in the distant group) - // param distant_elems mapping between the local representation of - // the subdomain and the actual elem ids on the distant subdomain - // ====================================================================== - + /*! + \brief Adds the contribution of a distant subdomain to the* + interpolation matrix. + The method adds contribution to the interpolation matrix. + For each row of the matrix, elements are addded as + a (column, coeff) pair in the _coeffs array. This column number refers + to an element on the target side via the _col_offsets array. + It is made of a series of (iproc, ielem) pairs. + The number of elements per row is stored in the row_offsets array. + + param distant_support local representation of the distant subdomain + param iproc_distant id of the distant subdomain (in the distant group) + param distant_elems mapping between the local representation of + the subdomain and the actual elem ids on the distant subdomain + */ void InterpolationMatrix::addContribution ( MEDCouplingPointSet& distant_support, int iproc_distant, const int* distant_elems, @@ -840,14 +832,13 @@ namespace ParaMEDMEM } } - // ================================================================== - // The call to this method updates the arrays on the target side - // so that they know which amount of data from which processor they - // should expect. - // That call makes actual interpolations via multiply method - // available. - // ================================================================== + /**! The call to this method updates the arrays on the target side + so that they know which amount of data from which processor they + should expect. + That call makes actual interpolations via multiply method + available. + */ void InterpolationMatrix::prepare() { int nbelems = _source_field->getField()->getNumberOfTuples(); @@ -859,18 +850,18 @@ namespace ParaMEDMEM } - // ======================================================================= - // brief performs t=Ws, where t is the target field, s is the source field - // The call to this method must be called both on the working side - // and on the idle side. On the working side, the vector T=VT^(-1).(W.S) - // is computed and sent. On the idle side, no computation is done, but the - // result from the working side is received and the field is updated. + /*! + \brief performs t=Ws, where t is the target field, s is the source field - // param field source field on processors involved on the source side, - // target field on processors on the target side - // ======================================================================= + The call to this method must be called both on the working side + and on the idle side. On the working side, the vector T=VT^(-1).(W.S) + is computed and sent. On the idle side, no computation is done, but the + result from the working side is received and the field is updated. + \param field source field on processors involved on the source side, + target field on processors on the target side + */ void InterpolationMatrix::multiply(MEDCouplingFieldDouble& field) const { int nbcomp = field.getArray()->getNumberOfComponents(); @@ -917,20 +908,19 @@ namespace ParaMEDMEM } - // ========================================================================= - // brief performs s=WTt, where t is the target field, s is the source field, - // WT is the transpose matrix from W - - // The call to this method must be called both on the working side - // and on the idle side. On the working side, the target vector T is - // received and the vector S=VS^(-1).(WT.T) is computed to update - // the field. - // On the idle side, no computation is done, but the field is sent. + /**! + \brief performs s=WTt, where t is the target field, s is the source field, + WT is the transpose matrix from W - // param field source field on processors involved on the source side, - // target field on processors on the target side - // ========================================================================= + The call to this method must be called both on the working side + and on the idle side. On the working side, the target vector T is + received and the vector S=VS^(-1).(WT.T) is computed to update + the field. + On the idle side, no computation is done, but the field is sent. + param field source field on processors involved on the source side, + target field on processors on the target side + */ void InterpolationMatrix::transposeMultiply(MEDCouplingFieldDouble& field) const { int nbcomp = field.getArray()->getNumberOfComponents(); diff --git a/src/ParaMEDMEM/InterpolationMatrix.hxx b/src/ParaMEDMEM/InterpolationMatrix.hxx index 71f4eeca0..97fc2a300 100644 --- a/src/ParaMEDMEM/InterpolationMatrix.hxx +++ b/src/ParaMEDMEM/InterpolationMatrix.hxx @@ -29,6 +29,12 @@ namespace ParaMEDMEM { class ElementLocator; + /**! class InterpolationMatrix + This class enables the storage of an interpolation matrix Wij mapping + source field Sj to target field Ti via Ti=Vi^(-1).Wij.Sj. + The matrix is built and stored on the processors belonging to the source + group. + */ class InterpolationMatrix : public INTERP_KERNEL::InterpolationOptions, public DECOptions { diff --git a/src/ParaMEDMEM/MPIAccess.cxx b/src/ParaMEDMEM/MPIAccess.cxx index 2ca867122..b9389cdcc 100644 --- a/src/ParaMEDMEM/MPIAccess.cxx +++ b/src/ParaMEDMEM/MPIAccess.cxx @@ -26,8 +26,11 @@ using namespace std; namespace ParaMEDMEM { - /*! \defgroup mpi_access MPIAccess - Class \a MPIAccess is the gateway to the MPI library. + /**! + \anchor MPIAccess-det + \class MPIAccess + + The class \a MPIAccess is the gateway to the MPI library. It is a helper class that gathers the calls to the MPI library that are made in the ParaMEDMEM library. This gathering allows easier gathering of information about the communication diff --git a/src/ParaMEDMEM/MPIProcessorGroup.cxx b/src/ParaMEDMEM/MPIProcessorGroup.cxx index 055cc5122..5b7c24055 100644 --- a/src/ParaMEDMEM/MPIProcessorGroup.cxx +++ b/src/ParaMEDMEM/MPIProcessorGroup.cxx @@ -29,36 +29,34 @@ using namespace std; -/*! \defgroup processor_group Processor Groups - * - * \section processor_group_overview Overview - * The MPIProcessorGroup class is used to set up processor groups that help to define - * the MPI topology of the couplings. They can be set up in various ways, the most common being - * the use of the \c MPIProcessorGroup(Comminterface, int pfirst, int plast) - * constructor. - * - * The following code excerpt creates two processor groups on respectively 3 and 2 processors. - \verbatim - int main() - { - MPI_Init(&argc,&argv); - CommInterface comm_interface; - MPIProcessorGroup codeA_group(comm_interface, 0, 2); - MPIProcessorGroup codeB_group(comm_interface, 3, 4); - - ... - } - \endverbatim -*/ - namespace ParaMEDMEM { - /*! - \addtogroup processor_group - @{ + /*! + * \anchor MPIProcessorGroup-det + * \class MPIProcessorGroup + * + * \section processor_group_overview Overview + * The MPIProcessorGroup class is used to set up processor groups that help to define + * the MPI topology of the couplings. They can be set up in various ways, the most common being + * the use of the \c MPIProcessorGroup(Comminterface, int pfirst, int plast) + * constructor. + * + * The following code excerpt creates two processor groups on respectively 3 and 2 processors. + \verbatim + int main() + { + MPI_Init(&argc,&argv); + CommInterface comm_interface; + MPIProcessorGroup codeA_group(comm_interface, 0, 2); // groups processors 0, 1 and 2 + MPIProcessorGroup codeB_group(comm_interface, 3, 4); // groups processors 3 and 4 + + ... + } + \endverbatim */ + /*! * Creates a processor group that is based on all the MPI_COMM_WORLD processor.This routine must be called by all processors in MPI_COMM_WORLD. @@ -164,9 +162,6 @@ namespace ParaMEDMEM delete[] ranks; _comm_interface.groupFree(&group_world); // MPI_Group is a C structured and won't get de-allocated automatically? } - /*! - @} - */ MPIProcessorGroup::MPIProcessorGroup (const ProcessorGroup& proc_group, set proc_ids) : ProcessorGroup(proc_group.getCommInterface()),_world_comm(MPI_COMM_WORLD) @@ -188,10 +183,6 @@ namespace ParaMEDMEM _comm_interface.commFree(&_comm); } - /*! - \addtogroup processor_group - @{ - */ /*! Translation of the rank id between two processor groups. This method translates rank \a rank on the current processor group to the rank on group pointed by \a group. @@ -251,9 +242,6 @@ namespace ParaMEDMEM return rank; } - /*! - @} - */ ProcessorGroup* MPIProcessorGroup::createProcGroup() const { set procs; diff --git a/src/ParaMEDMEM/NonCoincidentDEC.cxx b/src/ParaMEDMEM/NonCoincidentDEC.cxx index 830d3d11c..4f44a7f54 100644 --- a/src/ParaMEDMEM/NonCoincidentDEC.cxx +++ b/src/ParaMEDMEM/NonCoincidentDEC.cxx @@ -38,18 +38,18 @@ namespace ParaMEDMEM { /*! - \defgroup noncoincidentdec NonCoincidentDEC - - \section overview Overview + \anchor NonCoincidentDEC-det + \class NonCoincidentDEC \c NonCoincidentDEC enables nonconservative remapping of fields between two parallel codes. The computation is possible for 3D meshes and 2D meshes. It is not available for 3D surfaces. The computation enables fast parallel localization, and is based on a point in element search, followed by a field evaluation at the point location. Thus, it is typically - faster than the \ref interpkerneldec which gives a \ref conservativeremapping. + faster than the \ref InterpKernelDEC-det "InterpKernelDEC" which gives a + \ref InterpKerRemapGlobal "conservative remapping". It is particularly true for the initialisation phase (synchronize) - which is very computationnaly intensive in \ref interpkerneldec. + which is very computationnaly intensive in \ref InterpKernelDEC-det. In the present version, only fields lying on elements are considered. The value is estimated by locating the barycenter of the target @@ -242,12 +242,7 @@ namespace ParaMEDMEM { } - /*! - \addtogroup noncoincidentdec - @{ - */ - - /*! Constructor of a non coincident \ref dec with + /*! Constructor of a non coincident \ref para-dec "DEC" with * a source group on which lies a field lying on a mesh and a * target group on which lies a mesh. * @@ -392,7 +387,4 @@ namespace ParaMEDMEM renormalizeTargetField(); } - /*! - @} - */ } diff --git a/src/ParaMEDMEM/OverlapDEC.cxx b/src/ParaMEDMEM/OverlapDEC.cxx index 61f80ba6a..c799c23aa 100644 --- a/src/ParaMEDMEM/OverlapDEC.cxx +++ b/src/ParaMEDMEM/OverlapDEC.cxx @@ -24,95 +24,141 @@ #include "MPIProcessorGroup.hxx" #include "OverlapElementLocator.hxx" #include "OverlapInterpolationMatrix.hxx" + +namespace ParaMEDMEM +{ /*! - \defgroup overlapdec OverlapDEC - The \c OverlapDEC enables the \ref InterpKerRemapGlobal "conservative remapping" of fields between two parallel codes. This remapping is based on the computation of intersection volumes on a \b same \b processor \b group. On this processor group are defined two field-templates called A and B. The computation is possible for 3D meshes, 2D meshes, 3D-surface meshes, 1D meshes and 2D-curve meshes. Dimensions must be similar for the distribution templates A and B. - The main difference with \ref interpkerneldec is that this \ref dec manages 2 field templates on each processor of the processor group (A and B) called source and target. - Furthermore all processors in processor group cooperates in global interpolation matrix computation. In this respect \ref InterpKernelIDEC is a specialization of \c OverlapDEC. + \anchor OverlapDEC-det + \class OverlapDEC + + The \c OverlapDEC enables the \ref InterpKerRemapGlobal "conservative remapping" of fields between + two parallel codes. This remapping is based on the computation of intersection volumes on + a \b same \b processor \b group. On this processor group are defined two field-templates called A + and B. The computation is possible for 3D meshes, 2D meshes, 3D-surface meshes, 1D meshes and + 2D-curve meshes. Dimensions must be similar for the distribution templates A and B. + The main difference with \ref InterpKernelDEC-det is that this \ref para-dec "DEC" manages 2 field templates + on each processor of the processor group (A and B) called source and target. + Furthermore all processors in processor group cooperates in global interpolation matrix + computation. In this respect \ref InterpKernelDEC is a specialization of \c OverlapDEC. \section ParaMEDMEMOverlapDECAlgorithmDescription Algorithm Description - Let's consider the following use case that is ran in ParaMEDMEMTest_OverlapDEC.cxx to describes the different steps of the computation. The processor group contains 3 processors. + Let's consider the following use case that is ran in ParaMEDMEMTest_OverlapDEC.cxx to describes + the different steps of the computation. The processor group contains 3 processors. \anchor ParaMEDMEMOverlapDECImgTest1 \image html OverlapDEC1.png "Example showing the use case in order to explain the different steps." - \subsection ParaMEDMEMOverlapDECAlgoStep1 Step 1 : Bounding box exchange and global interaction between procs computation. + \subsection ParaMEDMEMOverlapDECAlgoStep1 Step 1 : Bounding box exchange and global interaction + between procs computation. - In order to reduce as much as possible the amount of communications between distant processors, every processor computes a bounding box for A and B. Then a AllToAll communication is performed so that + In order to reduce as much as possible the amount of communications between distant processors, + every processor computes a bounding box for A and B. Then a AllToAll communication is performed + so that every processor can compute the \b global interactions between processor. - This computation leads every processor to compute the same global TODO list expressed as a list of pair. A pair (x,y) means that proc \b x fieldtemplate A can interact with fieltemplate B of proc \b y because the two bounding boxes interact. - In the \ref ParaMEDMEMOverlapDECImgTest1 "example above" this computation leads to the following a \b global TODO list : + This computation leads every processor to compute the same global TODO list expressed as a list + of pair. A pair ( x, y ) means that proc \b x fieldtemplate A can interact with fieltemplate B of + proc \b y because the two bounding boxes interact. + In the \ref ParaMEDMEMOverlapDECImgTest1 "example above" this computation leads to the following + a \b global TODO list : \b (0,0),(0,1),(1,0),(1,2),(2,0),(2,1),(2,2) - Here the pair (0,2) does not appear because the bounding box of fieldtemplateA of proc#2 does not intersect that of fieldtemplate B on proc#0. + Here the pair (0,2) does not appear because the bounding box of fieldtemplateA of proc#2 does + not intersect that of fieldtemplate B on proc#0. Stage performed by ParaMEDMEM::OverlapElementLocator::computeBoundingBoxes. \subsection ParaMEDMEMOverlapDECAlgoStep2 Step 2 : Computation of local TODO list - Starting from the global interaction previously computed in \ref ParaMEDMEMOverlapDECAlgoStep1 "Step 1", each proc computes the TODO list per proc. - The following rules is chosen : a pair (x,y) can be treated by either proc #x or proc #y, in order to reduce the amount of data transfert among - processors. The algorithm chosen for load balancing is the following : Each processor has an empty \b local TODO list at the beginning. Then for each pair (k,m) in - \b global TODO list, if proc#k has less temporary local list than proc#m pair, (k,m) is added to temparary local TODO list of proc#k. - If proc#m has less temporary local TODO list than proc#k pair, (k,m) is added to temporary local TODO list of proc#m. - If proc#k and proc#m have the same amount of temporary local TODO list pair, (k,m) is added to temporary local TODO list of proc#k. - - In the \ref ParaMEDMEMOverlapDECImgTest1 "example above" this computation leads to the following local TODO list : - - - proc#0 : (0,0) - - proc#1 : (0,1),(1,0) - - proc#2 : (1,2),(2,0),(2,1),(2,2) + Starting from the global interaction previously computed in \ref ParaMEDMEMOverlapDECAlgoStep1 + "Step 1", each proc computes the TODO list per proc. + The following rules is chosen : a pair (x,y) can be treated by either proc \#x or proc \#y, + in order to reduce the amount of data transfert among + processors. The algorithm chosen for load balancing is the following : Each processor has + an empty \b local TODO list at the beginning. Then for each pair (k,m) in + \b global TODO list, if proc\#k has less temporary local list than proc\#m pair, (k,m) is added + to temparary local TODO list of proc\#k. + If proc\#m has less temporary local TODO list than proc\#k pair, (k,m) is added to temporary + local TODO list of proc\#m. + If proc\#k and proc\#m have the same amount of temporary local TODO list pair, (k,m) is added to + temporary local TODO list of proc\#k. + + In the \ref ParaMEDMEMOverlapDECImgTest1 "example above" this computation leads to the following + local TODO list : + + - proc\#0 : (0,0) + - proc\#1 : (0,1),(1,0) + - proc\#2 : (1,2),(2,0),(2,1),(2,2) The algorithm described here is not perfect for this use case, we hope to enhance it soon. - At this stage each proc knows precisely its \b local TODO list (with regard to interpolation). The \b local TODO list of other procs than local + At this stage each proc knows precisely its \b local TODO list (with regard to interpolation). + The \b local TODO list of other procs than local is kept for future computations. \subsection ParaMEDMEMOverlapDECAlgoStep3 Step 3 : Matrix echange between procs - Knowing the \b local TODO list, the aim now is to exchange field-templates between procs. Each proc computes knowing TODO list per + Knowing the \b local TODO list, the aim now is to exchange field-templates between procs. + Each proc computes knowing TODO list per proc computed in \ref ParaMEDMEMOverlapDECAlgoStep2 "Step 2" the exchange TODO list : - In the \ref ParaMEDMEMOverlapDECImgTest1 "example above" the exchange TODO list gives the following results : + In the \ref ParaMEDMEMOverlapDECImgTest1 "example above" the exchange TODO list gives the + following results : Sending TODO list per proc : - - proc #0 : Send fieldtemplate A to Proc#1, Send fieldtemplate B to Proc#1, Send fieldtemplate B to Proc#2 - - Proc #1 : Send fieldtemplate A to Proc#2, Send fieldtemplate B to Proc#2 - - Proc #2 : No send. + - proc \#0 : Send fieldtemplate A to Proc\#1, Send fieldtemplate B to Proc\#1, Send fieldtemplate + B to Proc\#2 + - Proc \#1 : Send fieldtemplate A to Proc\#2, Send fieldtemplate B to Proc\#2 + - Proc \#2 : No send. Receiving TODO list per proc : - - proc #0 : No receiving - - proc #1 : receiving fieldtemplate A from Proc#0, receiving fieldtemplate B from Proc#0 - - proc #2 : receiving fieldtemplate B from Proc#0, receiving fieldtemplate A from Proc#1, receiving fieldtemplate B from Proc#1 - - To avoid as much as possible large volumes of transfers between procs, only relevant parts of meshes are sent. In order for proc#k to send fieldtemplate A to fieldtemplate B - of proc #m., proc#k computes the part of mesh A contained in the boundingbox B of proc#m. It implies that the corresponding cellIds or nodeIds of the - corresponding part are sent to proc #m too. - - Let's consider the couple (k,m) in the TODO list. This couple is treated by either k or m as seen in \ref ParaMEDMEMOverlapDECAlgoStep2 "here in Step2". - - As will be dealt in Step 6, for final matrix-vector computations, the resulting matrix of the couple (k,m) whereever it is computed (proc #k or proc #m) - will be stored in \b proc#m. - - - If proc #k is in charge (performs the matrix computation) for this couple (k,m), target ids (cells or nodes) of the mesh in proc #m are renumbered, because proc #m has seelected a sub mesh of the target mesh to avoid large amounts of data to transfer. In this case as proc #m is ultimately in charge of the matrix, proc #k must keep preciously the - source ids needed to be sent to proc#m. No problem will appear for matrix assembling in proc m for source ids because no restriction was done. - Concerning source ids to be sent for the matrix-vector computation, proc k will know precisely which source ids field values to send to proc #m. + - proc \#0 : No receiving + - proc \#1 : receiving fieldtemplate A from Proc\#0, receiving fieldtemplate B from Proc\#0 + - proc \#2 : receiving fieldtemplate B from Proc\#0, receiving fieldtemplate A from Proc\#1, + receiving fieldtemplate B from Proc\#1 + + To avoid as much as possible large volumes of transfers between procs, only relevant parts of + meshes are sent. In order for proc\#k to send fieldtemplate A to fieldtemplate B + of proc \#m., proc\#k computes the part of mesh A contained in the boundingbox B of proc\#m. It + implies that the corresponding cellIds or nodeIds of the + corresponding part are sent to proc \#m too. + + Let's consider the couple (k,m) in the TODO list. This couple is treated by either k or m as + seen in \ref ParaMEDMEMOverlapDECAlgoStep2 "here in Step2". + + As will be dealt in Step 6, for final matrix-vector computations, the resulting matrix of the + couple (k,m) whereever it is computed (proc \#k or proc \#m) + will be stored in \b proc\#m. + + - If proc \#k is in charge (performs the matrix computation) for this couple (k,m), target ids + (cells or nodes) of the mesh in proc \#m are renumbered, because proc \#m has seelected a sub mesh + of the target mesh to avoid large amounts of data to transfer. In this case as proc \#m is ultimately + in charge of the matrix, proc \#k must keep preciously the + source ids needed to be sent to proc\#m. No problem will appear for matrix assembling in proc m + for source ids because no restriction was done. + Concerning source ids to be sent for the matrix-vector computation, proc k will know precisely + which source ids field values to send to proc \#m. This is embodied by OverlapMapping::keepTracksOfTargetIds in proc m. - - If proc #m is in charge (performs matrix computation) for this couple (k,m), source ids (cells or nodes) of the mesh in proc #k are renumbered, because proc #k has selected a sub mesh of the source mesh to avoid large amounts of data to transfer. In this case as proc #k is ultimately in charge of the matrix, proc #m receives the source ids - from remote proc #k, and thus the matrix is directly correct, no need for renumbering as in \ref ParaMEDMEMOverlapDECAlgoStep5 "Step 5". However proc #k must - keep track of the ids sent to proc #m for te matrix-vector computation. + - If proc \#m is in charge (performs matrix computation) for this couple (k,m), source ids (cells + or nodes) of the mesh in proc \#k are renumbered, because proc \#k has selected a sub mesh of the + source mesh to avoid large amounts of data to transfer. In this case as proc \#k is ultimately + in charge of the matrix, proc \#m receives the source ids + from remote proc \#k, and thus the matrix is directly correct, no need for renumbering as + in \ref ParaMEDMEMOverlapDECAlgoStep5 "Step 5". However proc \#k must + keep track of the ids sent to proc \#m for te matrix-vector computation. This is incarnated by OverlapMapping::keepTracksOfSourceIds in proc k. This step is performed in ParaMEDMEM::OverlapElementLocator::exchangeMeshes method. \subsection ParaMEDMEMOverlapDECAlgoStep4 Step 4 : Computation of the interpolation matrix - After mesh exchange in \ref ParaMEDMEMOverlapDECAlgoStep3 "Step3" each processor has all the required information to treat its \b local TODO list computed in - \ref ParaMEDMEMOverlapDECAlgoStep2 "Step2". This step is potentially CPU costly, which is why the \b local TODO list per proc is expected to + After mesh exchange in \ref ParaMEDMEMOverlapDECAlgoStep3 "Step3" each processor has all the + required information to treat its \b local TODO list computed in + \ref ParaMEDMEMOverlapDECAlgoStep2 "Step2". This step is potentially CPU costly, which is why + the \b local TODO list per proc is expected to be as well balanced as possible. The interpolation is performed as \ref ParaMEDMEM::MEDCouplingRemapper "Remapper" does. @@ -121,39 +167,42 @@ \subsection ParaMEDMEMOverlapDECAlgoStep5 Step 5 : Global matrix construction. - After having performed the TODO list at the end of \ref ParaMEDMEMOverlapDECAlgoStep4 "Step4" we need to assemble the final matrix. + After having performed the TODO list at the end of \ref ParaMEDMEMOverlapDECAlgoStep4 "Step4" + we need to assemble the final matrix. - The final aim is to have a distributed matrix \f$ M_k \f$ on each proc#k. In order to reduce data exchange during the matrix product process, + The final aim is to have a distributed matrix \f$ M_k \f$ on each proc\#k. In order to reduce + data exchange during the matrix product process, \f$ M_k \f$ is built using sizeof(Proc group) \c std::vector< \c std::map \c >. - For a proc#k, it is necessary to fetch info of all matrices built in \ref ParaMEDMEMOverlapDECAlgoStep4 "Step4" where the first element in pair (i,j) + For a proc\#k, it is necessary to fetch info of all matrices built in + \ref ParaMEDMEMOverlapDECAlgoStep4 "Step4" where the first element in pair (i,j) is equal to k. - After this step, the matrix repartition is the following after a call to ParaMEDMEM::OverlapMapping::prepare : + After this step, the matrix repartition is the following after a call to + ParaMEDMEM::OverlapMapping::prepare : - - proc#0 : (0,0),(1,0),(2,0) - - proc#1 : (0,1),(2,1) - - proc#2 : (1,2),(2,2) + - proc\#0 : (0,0),(1,0),(2,0) + - proc\#1 : (0,1),(2,1) + - proc\#2 : (1,2),(2,2) - Tuple (2,1) computed on proc 2 is stored in proc 1 after execution of the function "prepare". This is an example of item 0 in \ref ParaMEDMEMOverlapDECAlgoStep2 "Step2". + Tuple (2,1) computed on proc 2 is stored in proc 1 after execution of the function + "prepare". This is an example of item 0 in \ref ParaMEDMEMOverlapDECAlgoStep2 "Step2". Tuple (0,1) computed on proc 1 is stored in proc 1 too. This is an example of item 1 in \ref ParaMEDMEMOverlapDECAlgoStep2 "Step2". In the end ParaMEDMEM::OverlapMapping::_proc_ids_to_send_vector_st will contain : - - Proc#0 : 0,1 - - Proc#1 : 0,2 - - Proc#2 : 0,1,2 + - Proc\#0 : 0,1 + - Proc\#1 : 0,2 + - Proc\#2 : 0,1,2 In the end ParaMEDMEM::OverlapMapping::_proc_ids_to_recv_vector_st will contain : - - Proc#0 : 0,1,2 - - Proc#1 : 0,2 - - Proc#2 : 1,2 + - Proc\#0 : 0,1,2 + - Proc\#1 : 0,2 + - Proc\#2 : 1,2 The method in charge to perform this is : ParaMEDMEM::OverlapMapping::prepare. */ -namespace ParaMEDMEM -{ OverlapDEC::OverlapDEC(const std::set& procIds, const MPI_Comm& world_comm):_own_group(true),_interpolation_matrix(0), _source_field(0),_own_source_field(false), _target_field(0),_own_target_field(false) diff --git a/src/ParaMEDMEM/ParaFIELD.cxx b/src/ParaMEDMEM/ParaFIELD.cxx index f33acf919..9995ccae1 100644 --- a/src/ParaMEDMEM/ParaFIELD.cxx +++ b/src/ParaMEDMEM/ParaFIELD.cxx @@ -35,17 +35,22 @@ namespace ParaMEDMEM { /*! - \defgroup parafield ParaFIELD - This class encapsulates parallel fields. It basically encapsulates + \anchor ParaFIELD-det + \class ParaFIELD + + This class encapsulates parallel fields. + + It basically encapsulates a MEDCouplingField with extra information related to parallel topology. + It is most conveniently created by giving a pointer to a MEDCouplingField object and a \c ProcessorGroup. By default, a ParaFIELD object will be constructed with all field components located on the same processors. In some specific cases, it might be necessary to scatter components over several processors. In this case, the constructor using a ComponentTopology is required. - @{ */ + */ /*! diff --git a/src/ParaMEDMEM/StructuredCoincidentDEC.cxx b/src/ParaMEDMEM/StructuredCoincidentDEC.cxx index af0f9fe84..1e88a9581 100644 --- a/src/ParaMEDMEM/StructuredCoincidentDEC.cxx +++ b/src/ParaMEDMEM/StructuredCoincidentDEC.cxx @@ -34,7 +34,9 @@ using namespace std; namespace ParaMEDMEM { - /*! \defgroup structuredcoincidentdec StructuredCoincidentDEC + /*! + \anchor StructuredCoincidentDEC-det + \class StructuredCoincidentDEC This class is meant for remapping fields that have identical supports with different parallel topologies. It can be used to couple @@ -43,12 +45,13 @@ namespace ParaMEDMEM the computation is much faster than the other. It can also be used to couple together codes that share an interface that was generated in the same manner (with identical global ids). - Also, this \ref dec can be used for fields that have component topologies, + Also, this \ref para-dec can be used for fields that have component topologies, i.e., components that are scattered over several processors. The remapping between the two supports is based on identity of global ids, instead of geometrical considerations as it is the case for - \ref NonCoincidentDEC and \ref InterpKernelDEC. Therefore, this \ref dec must not be used + \ref NonCoincidentDEC-det "NonCoincidentDEC" and \ref InterpKernelDEC-det "InterpKernelDEC". + Therefore, this \ref para-dec "DEC" must not be used for coincident meshes that do not have the same numbering. As all the other DECs, its use is made of two phases : @@ -75,7 +78,7 @@ namespace ParaMEDMEM other DECs in the case when the remapping concerns similar meshes that only have different partitionings. In the case when the fields have also different component topologies, creating the ParaFIELD - requires some more effort. See \ref parafield section for more details. + requires some more effort. See the \ref para-over section for more details. */ @@ -101,10 +104,6 @@ namespace ParaMEDMEM delete _topo_target; } - /*! - \addtogroup structuredcoincidentdec - @{ - */ StructuredCoincidentDEC::StructuredCoincidentDEC(ProcessorGroup& local_group, ProcessorGroup& distant_group):DisjointDEC(local_group,distant_group), _topo_source(0),_topo_target(0), _send_counts(0),_recv_counts(0), @@ -409,8 +408,5 @@ namespace ParaMEDMEM prepareTargetDE(); } } - /*! - @} - */ } -- 2.39.2

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