La figure ci-dessous montre la structure des paquets logiciels qui
constituent la bibliothèque:
-.. image:: images/medlayers.png
+.. image:: ../images/medlayers.png
:align: center
Elle comprend en particulier les paquets suivants:
Le diagramme ci-dessous représente un découpage fonctionnel qui rend
compte de l'expression des besoins:
-.. image:: images/xmed-functions.png
+.. image:: ../images/xmed-functions.png
:align: center
On peut identifier les fonctionnalités suivantes:
support de l'interface graphique du module (interface non définitive
affichée ici pour illustration des spécifications):
-.. image:: images/xmed-gui-withframe.png
+.. image:: ../images/xmed-gui-withframe.png
:align: center
.. note:: Techniquement, les données sources sont rangées dans l'étude
``timeseries.med``) pour faire apparaître ensuite le menu contextuel
et choisir l'option "Use in workspace":
-.. image:: images/xmed-gui-datasource-contextmenu_70pc.png
+.. image:: ../images/xmed-gui-datasource-contextmenu_70pc.png
:align: center
* Cette capture montre une fenêtre de dialogue qui invite
l'espace de travail (par défaut, le nom complet du champ est
proposé). Ici, l'utilisateur spécifie ``f4``:
-.. image:: images/xmed-gui-datasource-useinworkspace_70pc.png
+.. image:: ../images/xmed-gui-datasource-useinworkspace_70pc.png
:align: center
* La validation de la fenêtre provoque l'ajout du champs dans l'espace
définit une variable python de nom ``f4`` qui permet la manipulation
du champ:
-.. image:: images/xmed-gui-datasource-useinworkspace-result_70pc.png
+.. image:: ../images/xmed-gui-datasource-useinworkspace-result_70pc.png
:align: center
Modalités d'utilisation
* Sélection d'un champ pour faire apparaitre le menu contextuel et
choisir l'option "Visualize":
-.. image:: images/xmed-gui-datasource-visualize_70pc.png
+.. image:: ../images/xmed-gui-datasource-visualize_70pc.png
:align: center
* Cette option déclenche l'affichage d'une carte de champ sur le cadre
d'affichage des viewers SALOME:
-.. image:: images/xmed-gui-datasource-visualize-result_70pc.png
+.. image:: ../images/xmed-gui-datasource-visualize-result_70pc.png
:align: center
Cette fonction est également disponible en ligne de commandes de
L'implantation technique des développements est représentée sur la
figure ci-dessous:
-.. image:: images/xmed-implantation.png
+.. image:: ../images/xmed-implantation.png
:align: center
Le schéma représente les packages logiciels qui composent le module
--- /dev/null
+.. meta::
+ :description: introduction guide for users of the MEDMEM library
+ :keywords: mesh, field, med, MEDCoupling, MEDLoader
+ :author: Guillaume Boulant
+
+.. include:: medcalc-definitions.rst
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+MEDMEM library: Starter guide for users
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+This document illustrates how to start with the programming interface
+of the MEDMEM library. The users is someone who intends to create a
+data processing script involving meshes and fields.
+
+.. contents:: Sommaire
+ :local:
+ :backlinks: none
+ :depth: 2
+
+General overview
+================
+
+Definition of the MEDMEM library
+--------------------------------
+
+The MEDMEM library is designed to manipulate meshes and fields that
+conform to the MED data model. This library can be used in C++
+programs as in python scripts for data processing on meshes and
+fields. The library contains the data structure to describe meshes and
+fields as C++ objects (MEDCoupling package). It provides a set of
+functions to manage the persistency toward the med file format
+(MEDLoader package), and to process the data througt interpolation and
+localization algorithms (INTERP_KERNEL and REMAPPER packages), for
+example to perform field projections from a mesh to another.
+
+Installation of the MEDMEM library
+----------------------------------
+
+The MEDMEM library is part of the SALOME MED module and then is
+installed together with this module by the installation process of
+SALOME. Nevertheless, it is possible for low-weight deployment to
+install only the MEDMEM library from the source files embedded in the
+SALOME MED module. Keep in mind that the MEDMEM library is designed to
+be a self-consistent library with very few third party softwares (only
+med-file, glibc and mpi typically). In particular, it is strictly
+independant from the SALOME framework even if it distributed with
+SALOME for convenience reasons.
+
+Components of the MEDMEM library
+--------------------------------
+
+The MEDMEM library consists in a small set of atomic libraries files,
+in particular:
+
+* :tt:`medcoupling`: this library provides the data structures (C++
+ classes) to describe meshes and fields.
+* :tt:`medloader`: this library provides I/O functions to the MED file
+ format
+* :tt:`interpkernel`: this library provides the mathematical
+ structures and algorithms required med data processing, in
+ particular interpolation and localization.
+* :tt:`medcouplingremapper`: this library provides the functions for
+ fields projections and interpolation.
+
+The figure below represents the layer structure of the packages of the
+library:
+
+.. image:: ../images/medlayers_70pc.png
+ :align: center
+
+What we call MEDMEM library in this document is represented by the
+orange packages on this diagram. The white packages reprensent the old
+deprecated MEDMEM library. The blue packages represent the aditionnal
+components for field manipulation througth the user interface (TUI and
+GUI).
+
+The MEDMEM library comes also with this set of atomic libraries for
+advanced users/programmers:
+
+* :tt:`medcouplingcorba`: this library is designed for cross process
+ exchange of medcoupling objects.
+* :tt:`medpartitioner`: this library provides functions to split a MED
+ domain in several part in the perspective of parallel computing
+
+All these atomic C++ libraries are wrapped into a set of python
+modules (using the swig binding technology) so that all the data
+processing can be realized by scripting.
+
+.. warning:: It could happen that some parts of the C++ libraries are
+ not wrapped into python modules. This coverture will be
+ extend on demand and if the integrity of the concepts is
+ preserved.
+
+Main concepts of the MEDMEM library
+===================================
+
+.. warning:: TODO avec Antony. Présenter les structure de données de
+ MEDCoupling principalement. Describe the MEDMEM data
+ model, the typical content of a med file, the types of
+ cell that compose the meshes, the types of spatial
+ discretization of fields, ...
+
+Basic usages of the MEDMEM library
+==================================
+
+This section illustrates the usage of main features of the MEDMEM
+library using python examples. The usage of python is just to have a
+light syntax that makes more easy the first understanding.
+
+.. note:: All code examples here after are parts of the tutorial use
+ cases located in the folder :tt:`src/MEDCalc/tut` in the MED
+ source directory. These use cases are all working executable
+ programs and they can be used to initiate your own script.
+
+Preparing the shell environment
+-------------------------------
+
+We make the hypothesis here that the MEDMEM library is installed using
+the SALOME procedure and then is located in the MED module
+installation directory. In addition to the MED library, the third
+party softwares required for executing the examples are: python, hdf5
+and med-fichier. Then, you should prepare your shell environment
+with a set of instructions that looks like::
+
+ #------ python ------
+ export PYTHONHOME=</path/to/python>
+ export PYTHONSTARTUP=${PYTHONHOME}/pythonrc.py
+ export PYTHON_INCLUDE=${PYTHONHOME}/include/python2.6
+ export PATH=${PYTHONHOME}/bin:${PATH}
+ export LD_LIBRARY_PATH=${PYTHONHOME}/lib:${LD_LIBRARY_PATH}
+
+ #------ hdf5 ------
+ HDF5HOME=</path/to/hdf5>
+ export PATH=${HDF5HOME}/bin:$PATH
+ export LD_LIBRARY_PATH=${HDF5HOME}/lib:${LD_LIBRARY_PATH}
+ export HDF5_DISABLE_VERSION_CHECK=1
+
+ #------ med ------
+ MED2HOME=</path/to/med>
+ export PATH=${MED2HOME}/bin:${PATH}
+ export LD_LIBRARY_PATH=${MED2HOME}/lib:${LD_LIBRARY_PATH}
+
+ #------ medmem ---
+ MED_ROOT_DIR=<path/to/salome_med_module>
+ export LD_LIBRARY_PATH=${MED_ROOT_DIR}/lib/salome:${LD_LIBRARY_PATH}
+ PYTHONPATH=${MED_ROOT_DIR}/lib/python2.6/site-packages/salome:${PYTHONPATH}
+ PYTHONPATH=${MED_ROOT_DIR}/bin/salome:${PYTHONPATH}
+ PYTHONPATH=${MED_ROOT_DIR}/lib/salome:${PYTHONPATH}
+ export PYTHONPATH
+
+Example 01: Explore a med file to get information concerning meshes and fields
+------------------------------------------------------------------------------
+
+:objectives: This example illustrates how to get information
+ concerning meshes and fields from a med file, using the
+ MEDLoader library.
+
+The loading of meshes and fields from a med file to a MEDCoupling data
+structure requires first the knowledge of metadata associated to these
+meshes and fields. You have to know the names of the meshes, so that
+you can specify the one you want to load, and then the names of the
+fields associated to one given mesh, the space discretizations used
+for each field, and the iterations available.
+
+The MEDLoader library can read these metadata without loading the
+physical data that compose the meshes and fields. This feature ensures
+the performance of the exploration process, in particular in the case
+of big meshes.
+
+This first instruction looks for meshes embedded in the med file
+(located by :tt:`filepath`) and returns the list of mesh names:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T1A
+ :end-before: # _T1B
+
+.. WARNING: Note that the file path for the include directive must be
+ relative to this rst source file (i.e. as organized in the MED
+ source directory, and nevertheless the build procedure is realized
+ elsewhere.
+
+Then, you may select one of these names (or iterate on all names of
+the list) and read the list of fields defined on this mesh:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T2A
+ :end-before: # _T2B
+
+A field name could identify several MEDCoupling fields, that differ by
+their spatial discretization on the mesh (values on cells, values on
+nodes, ...). This spatial discretization is specified by the
+TypeOfField that is an integer value in this list:
+
+* :tt:`0 = ON_CELLS` (physical values defined by cell)
+* :tt:`1 = ON_NODES` (physical values defined on nodes)
+* :tt:`2 = ON_GAUSS_PT` (physical values defined on Gauss points)
+* :tt:`3 = ON_GAUSS_NE`
+
+.. note:: This constant variables are defined by the MEDLoader module
+ (:tt:`from MEDLoader import ON_NODES`).
+
+As a consequence, before loading the physical values of a field, we
+have to determine the types of spatial discretization that come with
+this field name and to choose one of this types. The instruction below
+read all the spatial discretization types available for the field of
+name :tt:`fieldName` defined on the mesh of name :tt:`meshName`:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T3A
+ :end-before: # _T3B
+
+Once you have selected the spatial discretization of interest (called
+:tt:`typeOfDiscretization` in the code below, that corresponds to an
+item of the list :tt:`listOfTypes`), you can extract the list of time
+iterations available for the identified field:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T4A
+ :end-before: # _T4B
+
+The iterations can be weither a list of time steps for which the field
+is defined (a timeseries) or a list of frequency steps (spectral
+analysis). In any case, an iteration item consists in a couple of
+integers, the first defining the main iteration step and the second an
+iteration order in this step, that can be consider as a sub-iteration
+of the step. In most of cases, the iteration order is set to :tt:`-1`
+(no sub-iterations).
+
+The field values can now be read for one particular time step (or
+spectrum tic), defined by the pair (iteration number, iteration
+order). This is illustrated by the example here after.
+
+Example 02: Load a mesh and a field from a med file
+---------------------------------------------------
+
+:objectives: This illustrates how to load the physical data of a
+ specified mesh and a specified field.
+
+The metadata read from a med file are required to identify the list of
+meshes and fields in the med file. We assume in this example that the
+mesh and field to load are identified, i.e. we know the name of the
+mesh to load (:tt:`meshName`) and the characteristic properties of the
+field to load (:tt:`fieldName`, :tt:`typeOfDiscretization` and
+:tt:`iteration`). For example, the instruction below load the mesh of
+name :tt:`meshName`:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T5A
+ :end-before: # _T5B
+
+and the instruction below load the field with name :tt:`fieldName`
+defined on this mesh at a particular iteration step characterized by
+the couple :tt:`(iterationNumber,iterationOrder)`:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T6A
+ :end-before: # _T6B
+
+The variables :tt:`mesh` and :tt:`field` in this code example are instances of
+the MEDCoupling classes describing the meshes and fields.
+
+Note that the read functions required the parameter
+:tt:`dimrestriction`. This parameter discreminates the mesh dimensions you
+are interested to relatively to the maximal dimension of cells
+contained in the mesh (then its value could be 0, -1, -2 or -3
+depending on the max dimension of the mesh). A value of
+:tt:`dimrestriction=0` means "no restriction".
+
+Example 03: Manage the MEDCoupling data load from a med file
+------------------------------------------------------------
+
+:objectives: Some suggestions for the MEDCoupling objects management,
+ in a programming context.
+
+In a real programming case, it could be relevant to explore first the
+med file to load all metadata concerning the whole set of meshes and
+associated fields, and then to load the physical data only once when
+required by the program.
+
+Such a programming scenario required that you keep all metadata in
+data structures created in memory, so that you can manage the
+collection of meshes and fields. Nevertheless, the MEDMEM library
+does not provide such data structures.
+
+We suggest to work with a simple list concept to store the metadata
+for each mesh entry and each field entry. Note that a mesh entry is
+characterized by the mesh name only, while a field entry is
+charaterized by the following attributes:
+
+* :tt:`fieldName`: the name of the field
+* :tt:`meshName`: the name of the mesh that supports the field
+* :tt:`typeOfDiscretization`: the type of spatial discretization
+* :tt:`iteration`: a couple of integers :tt:`(iter,order)` that
+ characterizes the step in a serie (timeseries or spectrum).
+
+By default, we suggest to work with a simple map concept (dictionnary in a
+python context, map in a C++ context) to register the meshes and
+fields loaded from the med file for each metadata entry.
+
+Then, depending on the processing algorithm you intend to implement,
+you may dispatch the data in a tree structure that fit your specific
+case, for performance reasons. For example, the following code
+illustrates how to dispatch the metadata in a tree data structure
+where leaves are the physical data (field objects). We first have to
+define a tree structure (basic definition in htis simple case, but it
+works fine):
+
+.. include:: ../../../tut/medloader/manage.py
+ :literal:
+ :start-after: # _T1A
+ :end-before: # _T1B
+
+Then, we can scan the med structure and dispatch the metadata in the
+tree structure:
+
+.. include:: ../../../tut/medloader/manage.py
+ :literal:
+ :start-after: # _T2A
+ :end-before: # _T2B
+
+Finally (and afterwards), we can display on standard output the
+metadata registered in the tree structure:
+
+.. include:: ../../../tut/medloader/manage.py
+ :literal:
+ :start-after: # _T3A
+ :end-before: # _T3B
+
+Example 04: Simple arithmetic operations with fields
+----------------------------------------------------
+
+:objectives: This example illustrates how to load field iterations
+ from a med file containing a field timeseries and shows
+ how to use these iterations in simple arithmetic
+ operations.
+
+We consider a med file :tt:`timeseries.med`, containing one single
+mesh named :tt:`Grid_80x80` that supports a field with values defined
+on nodes (:tt:`typeOfDiscretization=ON_NODES`) given for ten
+iterations.
+
+This first code block identifies the mesh and the field to consider in
+this example:
+
+.. include:: ../../../tut/addfields/operations.py
+ :literal:
+ :start-after: # _T1A
+ :end-before: # _T1B
+
+The following instructions load the field, make a scaling on the
+physical values (multiply by 3) and then save the result in an output
+med file named :tt:`scaling.med`:
+
+.. include:: ../../../tut/addfields/operations.py
+ :literal:
+ :start-after: # _T2A
+ :end-before: # _T2B
+
+Note the usage of the method :tt:`applyFunc` that takes in argument a
+string expression that defined the mathematical function to apply on
+the values of the fields. In this expression, the field is symbolized
+by the letter :tt:`f`.
+
+The following set of instructions makes the addition of iteration
+number 3 with iteration number 4 of the field. Note that this
+operation required first to load the mesh:
+
+.. include:: ../../../tut/addfields/operations.py
+ :literal:
+ :start-after: # _T3A
+ :end-before: # _T3B
+
+Exemple 05: Compare fields load from different files
+----------------------------------------------------
+
+:objectives: Illustrates the usage of the function
+ changeUnderlyingMesh
+
+Exemple 06: Create a field from scratch on a spatial domain
+-----------------------------------------------------------
+
+:objectives: Illustrates the applyFunc method of fields
+
+Exemple 07: Manipulate structured mesh
+--------------------------------------
+
+:objectives: Illustrates the basic usage of the advanced interface of
+ MEDLoader.
+
+The MEDLoader frontal interface let you load unstructured meshes:
+
+.. include:: ../../../tut/medloader/tutorial.py
+ :literal:
+ :start-after: # _T5A
+ :end-before: # _T5B
+
+That is to say that even if the mesh is a structured mesh (a grid mesh
+for example), then you will get a MEDCoupling unstructured mesh
+object.
+
+To manipulate structured mesh objects, you have to use the MEDLoader
+backend interface named :tt:`MEDFileMesh`, or its derivative
+:tt:`MEDFileUMesh` for unstructured meshes, and :tt:`MEDFileCMesh` for
+structured meshes (CMesh for Cartesian Mesh). The code below
+illustrates how to load a mesh using the :tt:`MEDFileMesh` interface,
+and to know if it is a structured mesh:
+
+.. include:: ../../../tut/medloader/cmesh.py
+ :literal:
+ :start-after: # _T1A
+ :end-before: # _T1B
+
+This second example can be used in the case where you know in advance
+that it is a structured mesh:
+
+.. include:: ../../../tut/medloader/cmesh.py
+ :literal:
+ :start-after: # _T2A
+ :end-before: # _T2B
+
+In any cases, you can also save the mesh in another file with the
+methode :tt:`write` of the :tt:`MEDFileMesh` object:
+
+.. include:: ../../../tut/medloader/cmesh.py
+ :literal:
+ :start-after: # _T3A
+ :end-before: # _T3B
+
+Exemple 08: Make a projection of a field
+----------------------------------------
+
+:objectives: Make the projection of a field from a source mesh to a
+ target meshe. The source mesh and the target mesh are
+ two different mesh of the same geometry.
+
+The input data of this use case are:
+
+* a source mesh, and a field defined on this source mesh (left side of
+ the figure below)
+* a target mesh, on which we want to project the field (right side of
+ the figure below)
+
+.. note:: The two meshes are displayed side by side on the figure for
+ convenience reason, but in the real use case they stand at
+ the same location in 3D space (they describe the same
+ geometry).
+
+.. image:: ../images/medop_projection_inputs.png
+ :align: center
+
+The expected result is a field defined on the target mesh and which
+corresponds to a physical data equivalent to the source field,
+i.e. with conservation of some physical properties. This operation
+requires the usage of interpolation algorithms provided by the
+:tt:`medcouplingremapper` library:
+
+.. include:: ../../../tut/projection/demomed/demo_loadsource.py
+ :literal:
+ :start-after: # _T1A
+ :end-before: # _T1B
+
+Some comments on this code:
+
+* The physical property to be preserved by this interpolation is
+ specified using the keyword :tt:`ConservativeVolumic`
+* The parameter :tt:`P0P0` given at the preparation step of the
+ remapper specifies that the interpolation is done from CELLS (P0) to
+ CELLS (P0).
+* The interpolation, strictly speaking, is performed by the
+ instruction :tt:`ftarget =
+ remap.transferField(fsource,defaultValue)`
+* In this instruction, the :tt:`defaultValue` is used to set the target value
+ in the case where there is no cell in the source mesh that overlap
+ the target mesh (for example when the source mesh correspond to a
+ geometrical sub-part of the target mesh).
+
+When executing the :tt:`remapper`, the result is a new field defined on
+the target mesh, as illustrated on the figure below:
+
+.. image:: ../images/medop_projection_result.png
+ :align: center
+
+Exemple 09: Make a partition of a mesh using a field
+----------------------------------------------------
+
+:objective: This illustrates how to make a mesh partition using the
+ value of a field defined on this mesh.
+
+The input data is a MEDCoupling scalar field (:tt:`field`) defined on
+a 3D mesh, and we want to use this field as a criterium to make a
+partition of the mesh, for example by creating the mesh surface that
+delimits the volumes where the field value is greater that a limit L
+(and conversely the volumes where the field value is lower).
+
+.. image:: ../images/partition_mesh.png
+ :align: center
+
+The code below shows the simplest way to extract the cells where
+:tt:`field>L` and to create the skin mesh:
+
+.. include:: ../../../tut/medcoupling/partition.py
+ :literal:
+ :start-after: # _T1A
+ :end-before: # _T1B
+
+At the end, the variable :tt:`skin` is a 2D mesh that can be saved in
+a med file using the MEDLoader:
+
+.. image:: ../images/partition_skin.png
+ :align: center
+
+Advanced usages of the MEDMEM library
+=====================================
+
+This section could explain how to process the physical data
+(dataArray) and to manipulate the advanced concepts of the MEDMEM
+library.
+
+.. Exemple 01: Create a field from an image
+.. ----------------------------------------
+
au moyen des fonctions de manipulation fournies par l'interface
textuelle (console python TUI).
-.. image:: images/xmed-gui-withframe.png
+.. image:: ../images/xmed-gui-withframe.png
:align: center
L'utilisation type des fonctions de manipulation de champs suit un
* ajouter une source de données
* fonctions "Extends field series", "Visualize"
-.. |ICO_DATASOURCE_ADD| image:: images/ico_datasource_add.png
+.. |ICO_DATASOURCE_ADD| image:: ../images/ico_datasource_add.png
:height: 16px
-.. |ICO_XMED| image:: images/ico_xmed.png
+.. |ICO_XMED| image:: ../images/ico_xmed.png
:height: 16px
-.. |ICO_DATASOURCE_EXPAND| image:: images/ico_datasource_expandfield.png
+.. |ICO_DATASOURCE_EXPAND| image:: ../images/ico_datasource_expandfield.png
:height: 16px
-.. |ICO_DATASOURCE_VIEW| image:: images/ico_datasource_view.png
+.. |ICO_DATASOURCE_VIEW| image:: ../images/ico_datasource_view.png
:height: 16px
Au démarrage, le module de manipulation de champs, identifié par
l'icône |ICO_XMED|, présente une interface vierge:
-.. image:: images/xmed-gui-start.png
+.. image:: ../images/xmed-gui-start.png
:align: center
:width: 800px
datasource" |ICO_DATASOURCE_ADD| qui propose de sélectionner un
fichier med:
-.. image:: images/xmed-gui-datasource-selectfile.png
+.. image:: ../images/xmed-gui-datasource-selectfile.png
:align: center
:width: 800px
champs. Le résultat est affiché sur l'image centrale. La liste des
itérations du champ ``Pulse`` peut être consultée.
-.. |IMG_DATASOURCE_EXPLORE| image:: images/xmed-gui-datasource-explore-zoom.png
+.. |IMG_DATASOURCE_EXPLORE| image:: ../images/xmed-gui-datasource-explore-zoom.png
:height: 340px
-.. |IMG_DATASOURCE_MENUCON| image:: images/xmed-gui-datasource-menucontextuel-zoom.png
+.. |IMG_DATASOURCE_MENUCON| image:: ../images/xmed-gui-datasource-menucontextuel-zoom.png
:height: 340px
-.. |IMG_DATASOURCE_EXPANDF| image:: images/xmed-gui-datasource-expand-zoom.png
+.. |IMG_DATASOURCE_EXPANDF| image:: ../images/xmed-gui-datasource-expand-zoom.png
:height: 340px
+--------------------------+--------------------------+--------------------------+
visualiser et on utilise la commande "Visualize" |ICO_DATASOURCE_VIEW|
disponible dans le menu contextuel associé:
-.. image:: images/xmed-gui-datasource-visualize-zoom.png
+.. image:: ../images/xmed-gui-datasource-visualize-zoom.png
:align: center
:width: 800px
* fonction "Use in workspace"
* fonction "Save"
-.. |ICO_DATASOURCE_USE| image:: images/ico_datasource_use.png
+.. |ICO_DATASOURCE_USE| image:: ../images/ico_datasource_use.png
:height: 16px
-.. |ICO_WORKSPACE_SAVE| image:: images/ico_workspace_save.png
+.. |ICO_WORKSPACE_SAVE| image:: ../images/ico_workspace_save.png
:height: 16px
L'objectif est de récupérer des données issues de différents fichiers
définis deux champs de noms respectifs ``testfield1`` et
``testfield2``:
-.. image:: images/xmed-userguide-example2-datasource.png
+.. image:: ../images/xmed-userguide-example2-datasource.png
:align: center
:width: 800px
champs sélectionnés apparaissent dans l'arborescence de l'espace de
travail:
-.. image:: images/xmed-userguide-example2-workspace.png
+.. image:: ../images/xmed-userguide-example2-workspace.png
:align: center
:width: 800px
d'outils du module. Une fenêtre de dialogue invite l'utilisateur à
spécifier le nom du fichier de sauvegarde:
-.. image:: images/xmed-userguide-example2-workspace-save.png
+.. image:: ../images/xmed-userguide-example2-workspace-save.png
:align: center
:width: 800px
permet de préciser les données sur lesquelles on souhaite
effectivement travailler et comment on veut les manoeuvrer:
-.. image:: images/xmed-gui-datasource-useinworkspace-alias.png
+.. image:: ../images/xmed-gui-datasource-useinworkspace-alias.png
:align: center
:width: 800px
l'utilisateur pour rappeler que la variable correspond au pas de temps
n°3:
-.. image:: images/xmed-gui-workspace.png
+.. image:: ../images/xmed-gui-workspace.png
:align: center
:width: 800px
Donne:
-.. image:: images/xmed-gui-workspace-view.png
+.. image:: ../images/xmed-gui-workspace-view.png
:align: center
:width: 800px
moment où les deux maillages sont géométriquement identiques,
c'est-à-dire que les noeuds ont les mêmes coordonnées spatiales.
-.. |ICO_DATASOURCE_CHG| image:: images/ico_datasource_changeUnderlyingMesh.png
+.. |ICO_DATASOURCE_CHG| image:: ../images/ico_datasource_changeUnderlyingMesh.png
:height: 16px
Dans l'exemple proposé, l'utilisateur sélectionne le premier pas de
choisir le nouveau maillage support par sélection dans l'arborescence
du "dataspace":
-.. image:: images/xmed-gui-datasource-changeUnderlyingMesh.png
+.. image:: ../images/xmed-gui-datasource-changeUnderlyingMesh.png
:align: center
Dans cet exemple, on sélectionne le maillage ``Grid_80x80_01`` support
comparaison. Après validation, l'arborescence du workspace contient le
champ ``StiffExp_02`` défini sur le maillage ``Grid_80x80_01``:
-.. image:: images/xmed-gui-datasource-changeUnderlyingMesh_wsview.png
+.. image:: ../images/xmed-gui-datasource-changeUnderlyingMesh_wsview.png
:align: center
.. note:: La fonction "Change underlying mesh" ne modifie pas le champ
sur un plan de coupe donné. L'image ci-dessous représente par exemple
une vue interne du corps humain faite par IRM:
-.. image:: images/xmed-irm.png
+.. image:: ../images/xmed-irm.png
:align: center
:width: 600px
scalaire dont les valeurs sont définies aux cellules d'un maillage
réglés de même taille que l'image (en nombre de pixels):
-.. image:: images/xmed-irm-field.png
+.. image:: ../images/xmed-irm-field.png
:align: center
:width: 600px
$ <xmed_root_dir>/bin/salome/xmed/image2med.py -i myimage.png -m myfield.med
-.. |ICO_IMAGESOURCE| image:: images/ico_imagesource.png
+.. |ICO_IMAGESOURCE| image:: ../images/ico_imagesource.png
:height: 16px
Cette opération de conversion peut être faite automatiquement dans
commande ouvre la fenêtre suivante pour inviter l'utilisateur à
choisir un fichier image:
-.. image:: images/medop_image2med_dialog.png
+.. image:: ../images/medop_image2med_dialog.png
:align: center
Le nom du fichier med résultat est proposé par défaut (changement de
= i1 + 5*(i2-i1)`` où le facteur 5 est arbitraire et sert à amplifier
la zone d'intérêt (en haut de l'oeil gauche):
-.. image:: images/xmed-irm-diff.png
+.. image:: ../images/xmed-irm-diff.png
:align: center
:width: 600px
tomographique issue du projet MAP (Charles Toulemonde,
EDF/R&D/MMC). L'image tomographique:
-.. image:: images/champ_altitude_MAP.png
+.. image:: ../images/champ_altitude_MAP.png
:align: center
:width: 600px
Le résultat du chargement:
-.. image:: images/medop_image2med_tomographie.png
+.. image:: ../images/medop_image2med_tomographie.png
:align: center
:width: 800px
exporter, puis déclencher la fonction d'export depuis le menu
contextuel associé:
-.. image:: images/medop_exportparavis.png
+.. image:: ../images/medop_exportparavis.png
:align: center
Les champs sélectionnés sont regroupés dans une entrée MED du
navigateur PARAVIS, et le premier champ est affiché sous forme de
carte de champ:
-.. image:: images/medop_exportparavis_result.png
+.. image:: ../images/medop_exportparavis_result.png
:align: center
:width: 800px
être réalisées (avec plus ou moins de facilité) avec l'interface
textuelle. Le module de manipulation de champs peut même être utilisé
exclusivement en mode texte.
-..
- Pour cela, on lance la commande::
+
+Pour cela, on lance la commande::
$ <path/to/appli>/medop.sh
-..
- Cette commande ouvre une console de commandes ``medop>``. Un fichier
- med peut être chargé et travaillé, par exemple pour créer des champs à
- partir des données du fichier.
+
+Cette commande ouvre une console de commandes ``medop>``. Un fichier
+med peut être chargé et travaillé, par exemple pour créer des champs à
+partir des données du fichier.
Que l'on soit en mode texte pur ou en mode graphique, un séquence de
travail type dans la console peut ressembler au jeu d'instructions
Le diagramme ci-dessous représente l'organisation des principaux
paquets logiciels du module MED:
-.. image:: images/medmem-layers.png
+.. image:: ../images/medmem-layers.png
:align: center
Les cadres bleus représentent le lieu d'implantation des
Les schéma ci-dessous représente les objets informatiques qui sont à
l'oeuvre pour la réalisation des opérations sur les champs:
-.. image:: /images/xmed-architecture.png
+.. image:: ../images/xmed-architecture.png
:align: center
:alt: Objets mis en oeuvre dans l'interface de manipulation de champs
à choisir. Les captures d'écran ci-dessous montre la séquence
graphique en images:
-.. |IMG_SELECT| image:: images/medop-gui-selectfield_scale.png
-.. |IMG_ALIAS| image:: images/medop-gui-aliasfield_scale.png
+.. |IMG_SELECT| image:: ../images/medop-gui-selectfield_scale.png
+.. |IMG_ALIAS| image:: ../images/medop-gui-aliasfield_scale.png
+---------------+---------------+
| |IMG_SELECT| | |IMG_ALIAS| |
d'un champ au moyen d'une représentation 3D (une carte spatiale du
module du champ dans l'exemple implémenté par défaut):
-.. |IMG_VISU| image:: images/medop-gui-visufield_scale.png
-.. |IMG_RESULT| image:: images/medop-gui-result_scale.png
+.. |IMG_VISU| image:: ../images/medop-gui-visufield_scale.png
+.. |IMG_RESULT| image:: ../images/medop-gui-result_scale.png
+---------------+---------------+
| |IMG_VISU| | |IMG_RESULT| |
champs). Ces notions reprennent en partie des concepts du modèle
MED. Le diagramme ci-dessous présente les classes principales:
-.. image:: images/med-uml-main_60pc.png
+.. image:: ../images/med-uml-main_60pc.png
:align: center
Le conteneur de plus haut niveau dans MEDMEM est la classe MED. La
Le schéma ci-dessous représente les éléments informatiques qui
composent l'architecture CORBA du module MED:
-.. image:: images/medmem-corba-layers.png
+.. image:: ../images/medmem-corba-layers.png
:align: center
Les structures MEDMEM (données physiques) et SALOME_MED (wrapping
contrôle visuel du résultat de l'opération f1+f2-(f1-f2)^2 tapée en
ligne de commande:
-.. image:: images/medop-gui-result.png
+.. image:: ../images/medop-gui-result.png
:align: center
La séquence ci-après montre le cas d'utilisation complet en
l'opération ``f1+f2-(f1-f2)^2`` et contrôle visuel du résultat,
récupéré ici dans une variable de nom ``result``.
-.. |IMG_SELECT| image:: images/medop-gui-selectfield_scale.png
-.. |IMG_ALIAS| image:: images/medop-gui-aliasfield_scale.png
-.. |IMG_VISU| image:: images/medop-gui-visufield_scale.png
-.. |IMG_RESULT| image:: images/medop-gui-result_scale.png
+.. |IMG_SELECT| image:: ../images/medop-gui-selectfield_scale.png
+.. |IMG_ALIAS| image:: ../images/medop-gui-aliasfield_scale.png
+.. |IMG_VISU| image:: ../images/medop-gui-visufield_scale.png
+.. |IMG_RESULT| image:: ../images/medop-gui-result_scale.png
+---------------+---------------+
| |IMG_SELECT| | |IMG_ALIAS| |
--- /dev/null
+This directory contains small use cases that are used in the userguide documentation
+to illustrate the basic usage of med coupling from the python programming interface.
--- /dev/null
+# You first have to set the shell environement for medcoupling
+
+all:
+ python addition.py
+ python operations.py
+
+clean:
+ rm -f addition.med scaling.med addition_01.med addition_02.med *~
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import MEDLoader, ON_NODES
+
+medfilename = "timeseries.med" # med source filename
+meshname = "Grid_80x80" # name of the support mesh
+dimrestriction = 0 # 0=no restriction
+fieldname = "Pulse" # name of the field series
+
+# Load the support mesh
+mesh = MEDLoader.ReadUMeshFromFile(medfilename,meshname,dimrestriction)
+
+# Load the field at timestamps 3
+iteration, order = (3,-1) # timestamps to consider
+p3=MEDLoader.ReadField(ON_NODES,medfilename,meshname,dimrestriction,
+ fieldname,iteration,order)
+p3.setMesh(mesh)
+
+# Load the field at timestamps 4
+iteration, order = (4,-1) # timestamps to consider
+p4=MEDLoader.ReadField(ON_NODES,medfilename,meshname,dimrestriction,
+ fieldname,iteration,order)
+p4.setMesh(mesh)
+
+result = p3+p4
+result.setName("p3+p4")
+
+outfilename = "addition.med"
+MEDLoader.WriteField(outfilename,result,True)
+MEDLoader.WriteField(outfilename,p3,False)
+MEDLoader.WriteField(outfilename,p4,False)
+
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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 script illustrates the basic usage of MEDCoupling and MEDLoader
+# to read fields in a med file and make basics operation on the values
+# (gboulant - 11/07/2011)
+
+
+# _T1A
+medfilename = "timeseries.med" # med source filename
+meshName = "Grid_80x80" # name of the support mesh
+dimrestriction = 0 # 0=no restriction
+fieldName = "Pulse" # name of the field series
+# _T1B
+
+# ==============================================================
+# Make a scaling. This does not require the loading of the mesh
+# _T2A
+from MEDLoader import MEDLoader, ON_NODES
+
+iteration, order = (3,-1) # timestamps to consider
+field=MEDLoader.ReadField(ON_NODES,
+ medfilename, meshName, dimrestriction,
+ fieldName, iteration, order)
+
+field.applyFunc("f*3")
+outfilename = "scaling.med"
+MEDLoader.WriteField(outfilename,field,True)
+# _T2B
+
+
+# ==============================================================
+# Make an addition. This requires to load first the mesh
+
+# _T3A
+# Load the support mesh
+mesh = MEDLoader.ReadUMeshFromFile(medfilename, meshName, dimrestriction)
+
+# Load the field at timestamps 3
+iteration, order = (3,-1)
+p3=MEDLoader.ReadField(ON_NODES,
+ medfilename,meshName,dimrestriction,
+ fieldName,iteration,order)
+# Associate the mesh
+p3.setMesh(mesh)
+
+# Load the field at timestamps 4
+iteration, order = (4,-1)
+p4=MEDLoader.ReadField(ON_NODES,
+ medfilename, meshName, dimrestriction,
+ fieldName, iteration, order)
+# Associate the mesh
+p4.setMesh(mesh)
+
+# Make the addition
+result = p3+p4
+result.setName("p3+p4")
+
+# We can finally save the result together with the operandes fields
+outfilename = "addition.med"
+MEDLoader.WriteField(outfilename,result,True)
+MEDLoader.WriteField(outfilename,p3,False)
+MEDLoader.WriteField(outfilename,p4,False)
+# _T3B
+
+# ==============================================================
+# Make an addition. A different way that loads fields all at once
+mesh = MEDLoader.ReadUMeshFromFile(medfilename, meshName, dimrestriction)
+timestamps = [(3,-1),(4,-1)]
+p3,p4 = MEDLoader.ReadFieldsOnSameMesh(ON_NODES,medfilename,
+ meshName,dimrestriction,
+ fieldName,timestamps)
+p3.setMesh(mesh)
+p4.setMesh(mesh)
+result = p3+p4
+result.setName("p3+p4")
+
+outfilename = "addition_01.med"
+MEDLoader.WriteField(outfilename,result,True)
--- /dev/null
+Note that this test scripts required the PIL python library
+
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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 configuration comes in extension with the standard configuration
+# defined by the file envlight.sh for image processing and math
+# processing.
+
+#------ Python Imaging Library ------
+PILDIR=/opt/programs/salome/workspace/prerequisites/install/Pil-117-py266-tcl859-tk859
+export PATH=${PILDIR}/bin:$PATH
+export PYTHONPATH=${PILDIR}/lib/python2.6/site-packages:${PYTHONPATH}
+
+#------ Numpy ------
+NUMPY_DIR=/opt/programs/salome/workspace/prerequisites/install/Numpy-151-py266-la331
+export PATH=${NUMPY_DIR}/bin:${PATH}
+export PYTHONPATH=${NUMPY_DIR}/lib/python2.6/site-packages:${PYTHONPATH}
+
+# ------ Scipy ------
+SCIPY_DIR=/opt/programs/salome/workspace/prerequisites/install/Scipy-090-py266-la331-sw204-nu151
+export PYTHONPATH=${SCIPY_DIR}/lib/python2.6/site-packages:${PYTHONPATH}
+
+# WARN: Matplot, sip and pyqt are requires for the plotter used in
+# lagrange.py (could be optional)
+
+# ------ Matplot ----
+MATPLOT_DIR=/opt/programs/salome/workspace/prerequisites/install/Matplotlib-110-py266-set06c11-num151
+export PYTHONPATH=${MATPLOT_DIR}/lib/python2.6/site-packages:${PYTHONPATH}
+
+#------ sip ------
+SIPDIR=/opt/programs/salome/workspace/prerequisites/install/Sip-4132-py266
+export PATH=${SIPDIR}/bin:${PATH}
+export PYTHONPATH=${SIPDIR}/lib/python2.6/site-packages:${PYTHONPATH}
+export LD_LIBRARY_PATH=${SIPDIR}/lib/python2.6/site-packages:${LD_LIBRARY_PATH}
+
+PYQTDIR=/opt/programs/salome/workspace/prerequisites/install/Pyqt-491p1-py266-qt463p2-sip4132
+#export PYQT_SIPS=${PYQTDIR}/share/sip
+#export PYUIC=${PYQTDIR}/bin/pyuic4
+export PYTHONPATH=${PYQTDIR}/lib/python2.6/site-packages:${PYTHONPATH}
+export PATH=${PYQTDIR}/bin:${PATH}
--- /dev/null
+P5
+# CREATOR: GIMP PNM Filter Version 1.1
+6 6
+255
+¿¿ÿÿ¿¿¿¿ÿÿ¿¿ÿÿ\ 4\aÿÿÿÿ\ 3\ 4ÿÿ¿¿ÿÿ¿¿¿¿ÿÿ¿¿
\ No newline at end of file
--- /dev/null
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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 illustrates how to make a mesh partition using the value of a
+# field defined on this mesh (for example to extract the cells where
+# the field takes a value greater than a threshold L.
+# (Anthony Geay, nov. 2012)
+
+# WRN: this use case does not require a med input file because the
+# data (mesh and field) to work with are created from scratch.
+
+from MEDCoupling import *
+
+# =======================================================
+# Creation of the input data (mesh and field)
+# =======================================================
+#
+# We prepare the input field from scratch instead of load it from a
+# file, but there is no difference
+from MEDCouplingDataForTest import MEDCouplingDataForTest
+m3D=MEDCouplingDataForTest.build3DTargetMesh_1()
+m3D.setName("m3D")
+a=DataArrayDouble.New([1.,1.,1.,-1.,-1.,-1.,-1.,-1.])
+field=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
+field.setMesh(m3D)
+field.setArray(a)
+field.checkCoherency()
+field.setName("f")
+
+# Save the field (and associated mesh)
+from MEDLoader import MEDLoader
+MEDLoader.WriteField("partition_input.med",field,True)
+
+# =======================================================
+# Determine the border skin mesh
+# =======================================================
+#
+# We have to determine the 2D mesh that delimits the volume where the
+# field is greater than a threshold L from the volume where the field
+# is lower than this threshold (in this example L=0).
+#
+# WRN: This works in SALOME V660 only
+#
+# _T1A
+L=0.
+arr = field.getArray()
+ids = arr.getIdsInRange(L,1e300)
+m3DSub = field.getMesh()[ids]
+skin = m3DSub.computeSkin()
+MEDLoader.WriteUMesh("partition_skin.med",skin,True);
+# _T1B
+
+# =======================================================
+# Compare to the result in SALOME V650
+# =======================================================
+# SALOME V650 requires a more complicated syntax.
+m2D,desc,descI,revDesc,revDescI=m3DSub.buildDescendingConnectivity()
+numberOf3DVolSharing=revDescI.deltaShiftIndex()
+ids2D=numberOf3DVolSharing.getIdsEqual(1)
+skin_V650=m2D[ids2D]
+# We can check if the two skins are identical
+print "Are two meshes equal between V660 and V650 ?",skin.isEqual(skin_V650,1e-12)
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+
+class Function:
+ def __init__(self, **kwargs):
+ self.kwargs = kwargs
+
+ def function(self, x, **kwargs):
+ # This should be implemented in a derived class
+ raise Runtime("function is not implemented yet")
+
+ def __call__(self, x):
+ # The argument can be a scalar or a list, we have to check
+ # that first.
+ if isIterable(x):
+ y = map(self,x)
+ else:
+ y = self.function(x, **self.kwargs)
+ return y
+
+def isIterable(x):
+ """
+ This returns True if the parameter is an iterable, a list or an
+ array, or any collection object.
+ """
+ try:
+ len(x)
+ return True
+ except TypeError, e:
+ return False
+
+#
+# =====================================================
+# Implementation of standard functions. All function are normalized
+# function: the xrange is [0,1], the yrange is [0,1]
+import numpy
+from scipy.constants import pi
+
+# Note that in this situation, the create another constructor because
+# the parameters can be deduced from one single parameter xlimit. The
+# constructor must create a kwargs dictionary that map the arguments
+# of the method "function"
+class FuncConique(Function):
+ def __init__(self,xlimit):
+ a = 1./(xlimit*xlimit-2*xlimit+1)
+ b = -2.*a
+ c = a
+ d = 1/(xlimit*xlimit)
+ # We call the super constructor to redefine the kwarg
+ # attribute, so that it fits with the arguments of the method
+ # "function":
+ Function.__init__(self,xlimit=xlimit,a=a,b=b,c=c,d=d)
+ # NOTE: Instead of calling the super constructor, we could
+ # redefine directly the kwargs attribute:
+ #self.kwargs = {"xlimit":xlimit,
+ # "a":a, "b":b,
+ # "c":c, "d":d}
+
+ def function(self,x,xlimit,a,b,c,d):
+ if x<xlimit:
+ y=d*x*x
+ else:
+ y=a*x*x+b*x+c
+ return y
+
+
+class FuncChapeau(Function):
+ def function(self,x,xlimit):
+ if x<xlimit:
+ y=x/xlimit
+ else:
+ y=(x-1)/(xlimit-1)
+ return y
+
+class FuncStiffExp(Function):
+ """
+ xlimit : the x position of the top of the function
+ stiffness : the higher it is, the stiffer the function is
+ """
+ def function(self,x,xlimit,stiffness):
+ if x<xlimit:
+ y=numpy.exp(stiffness*(x-xlimit))
+ else:
+ y=numpy.exp(-stiffness*(x-xlimit))
+ return y
+
+class FuncCosinus(Function):
+ def __init__(self,nbPeriods):
+ # The pulsation w must be choosen so that w*xmax=n*2pi where
+ # xmax=1 and n is an integer that corresponds to the number of
+ # oscilations on the xrange [0,xmax].
+ w=nbPeriods*2*pi
+ Function.__init__(self,w=w)
+
+ def function(self,x,w):
+ y=numpy.cos(w*x)
+ return y
+
+class FuncStiffPulse(Function):
+ def __init__(self,xlimit, stiffness, nbPeriods):
+ self.stiffexp=FuncStiffExp(xlimit=xlimit,stiffness=stiffness)
+ self.cosinus=FuncCosinus(nbPeriods=nbPeriods)
+ Function.__init__(self)
+
+ def function(self,x):
+ y=self.stiffexp(x)*numpy.abs(self.cosinus(x))
+ return y
+
+class FuncHeaviside(Function):
+ def function(self,x,xlimit):
+ if x<xlimit:
+ y=0
+ else:
+ y=1
+ return y
+
+class FuncPorte(Function):
+ def function(self,x,xinf,xsup):
+ if x<xinf or x>xsup:
+ y=0
+ else:
+ y=1
+ return y
+
+import lagrange
+class FuncLagrange(Function):
+ def __init__(self,points):
+ """
+ @points : a dictionary whose keys are x values and values are
+ y values to be considered as fixed points for interpolation.
+ """
+ Function.__init__(self)
+ self.polynom = lagrange.lagrange(points)
+
+ def function(self,x):
+ return self.polynom(x)
+
+#
+# =====================================================
+# Unit tests functions
+# =====================================================
+#
+class MyFunction(Function):
+ def function(self,x,a,b):
+ y=a*x+b
+ return y
+
+def TEST_Function():
+ # The parameters of the constructor of MyFunction must be
+ # consistent with the kwargs parameters of the method function of
+ # the class MyFunction (it must map exactly).
+ f=MyFunction(a=3.,b=7.)
+
+ x=2
+ y_ref = 3.*x+7.
+ y_res = f(x)
+ print y_ref
+ print y_res
+ if y_ref != y_res:
+ print "ERR"
+ else:
+ print "OK"
+
+def TEST_Function_withIterable():
+ f=MyFunction(a=3.,b=1.)
+
+ arrX = [0., 1., 2., 3.]
+ arrY = f(arrX)
+
+ arrY_ref = [1., 4., 7., 10.]
+ print "arrY res =%s"%arrY
+ print "arrY ref =%s"%arrY_ref
+
+def TEST_FuncConique():
+ f=FuncConique(xlimit=0.3)
+ from plotter import plot
+ plot(f)
+
+def TEST_FuncChapeau():
+ f=FuncChapeau(xlimit=0.3)
+ from plotter import plot
+ plot(f)
+
+def TEST_FuncStiffExp():
+ f=FuncStiffExp(xlimit=0.3,stiffness=20.)
+ from plotter import plot
+ plot(f)
+
+def TEST_FuncCosinus():
+ f=FuncCosinus(nbPeriods=20)
+ from plotter import plot
+ plot(f, step=0.001)
+
+def TEST_FuncStiffPulse():
+ f=FuncStiffPulse(xlimit=0.3,stiffness=50,nbPeriods=15)
+ from plotter import plot
+ plot(f, step=0.001)
+
+def TEST_FuncHeaviside():
+ f=FuncHeaviside(xlimit=0.3)
+ from plotter import plot
+ plot(f)
+
+def TEST_FuncPorte():
+ f=FuncPorte(xinf=0.3,xsup=0.4)
+ from plotter import plot
+ plot(f)
+
+def TEST_customize_01():
+ f=FuncStiffPulse(xlimit=0.3,stiffness=40,nbPeriods=20)
+
+ # One can customize the final function as follow (in this example,
+ # a linear transform)
+ def myfunc(x):
+ y=5*f(x)+2
+ return y
+
+ from plotter import plot
+ plot(myfunc, step=0.001)
+
+def TEST_customize_02():
+ f=FuncHeaviside(xlimit=0.3)
+
+ # One can customize the final function as follow (in this example,
+ # reverse of heaviside)
+ def myfunc(x):
+ y=1-f(x)
+ return y
+
+ from plotter import plot
+ plot(myfunc)
+
+def TEST_FuncLagrange():
+ points = {0.:5, 0.2:10, 0.9:10, 0.6:21, 1:8}
+ f=FuncLagrange(points)
+ from plotter import plot
+ plot(f)
+
+if __name__ == "__main__":
+ TEST_Function()
+ TEST_Function_withIterable()
+ #TEST_FuncConique()
+ #TEST_FuncChapeau()
+ #TEST_FuncStiffExp()
+ #TEST_FuncCosinus()
+ #TEST_FuncStiffPulse()
+ #TEST_FuncHeaviside()
+ #TEST_FuncPorte()
+ #TEST_customize_01()
+ #TEST_customize_02()
+ #TEST_FuncLagrange()
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+import scipy
+def lagrange(points):
+ '''
+ This returns a polynom that fits the points specified in the input
+ dictionary (lagrange interpolation). In this dictionary, the keys
+ are x value and the values are y corresponding values
+ (i.e. y=polynom(x)). The polynom is a scipy polynom and then is a
+ callable (can be used as a function).
+ '''
+ tmp = scipy.poly1d([0])
+ result=scipy.poly1d([0])
+
+ for i in points.keys():
+ numerator=scipy.poly1d([1])
+ denom = 1.0
+ for j in points.keys():
+ if (i != j):
+ tmp = scipy.poly1d([1,-j])
+ numerator = numerator * tmp
+ denom = denom * (i - j)
+ tmp = (numerator/denom) * points.get(i)
+ result = result + tmp
+
+ return result
+
+def points_usingfunction(arrX,function):
+ points={}
+ for x in arrX:
+ points[x] = function(x)
+ return points
+
+def points_usingarray(arrX,arrY):
+ points={}
+ for i in range(len(arrX)):
+ x=arrX[i]
+ y=arrY[i]
+ points[x] = y
+ return points
+
+def sortdict(points):
+ # Sort this dictionary by keys and returns 2 lists, the list of X
+ # and the list of Y, the whole ordered by X
+ keys = points.keys()
+ keys.sort()
+ return keys, [points[key] for key in keys]
+
+import pylab
+import numpy
+def plot(function, start=0., stop=1., step=0.01):
+ """
+ The parameter function must be a callable.
+ """
+ arrX=numpy.arange(start, stop, step, dtype='float64')
+ # function is a callable
+ arrY=map(function,arrX)
+ pylab.plot(arrX, arrY)
+ pylab.show()
+
+
+# ---
+# The points does not need to be ordered by x values
+def TEST_lagrange_01():
+ input = {0.:5, 0.2:10, 0.9:10, 0.6:21, 1:8}
+ polynom = lagrange(input)
+ print polynom
+ plot(function=polynom, start=0., stop=1., step=0.001)
+
+def TEST_lagrange_02():
+ input = {0.:0., 0.5:1., 1.:0.}
+ polynom = lagrange(input)
+ print polynom
+ plot(function=polynom, start=0., stop=1., step=0.001)
+
+# ---
+# One can create the input dictionary from arrays
+def TEST_lagrange_usingarrays_01():
+ arrX = [0., 0.2, 0.9, 0.6, 1]
+ arrY = [5, 10, 10, 21, 8]
+ input = points_usingarray(arrX,arrY)
+ polynom = lagrange(input)
+ print polynom
+ plot(function=polynom, start=0., stop=1., step=0.001)
+
+# Another example using numpy
+def TEST_lagrange_usingarrays_02():
+ arrX=numpy.arange(start=0., stop=1., step=0.1, dtype='float64')
+ arrY=numpy.zeros(len(arrX), dtype='float64')
+ arrY[3]=2
+ input = points_usingarray(arrX,arrY)
+ polynom = lagrange(input)
+ print polynom
+ plot(function=polynom, start=0., stop=1., step=0.001)
+
+# ---
+# One can create the input dictionary from a function applied to an
+# array of X values
+
+# simple method for mathematical functions
+def TEST_lagrange_usingfunction_01():
+ arrX=numpy.arange(start=0., stop=1., step=0.1, dtype='float64')
+ arrY=numpy.cos(10*arrX)
+ input = points_usingarray(arrX,arrY)
+ polynom = lagrange(input)
+ print polynom
+ plot(function=polynom, start=0., stop=1., step=0.001)
+
+# General method
+xlimit=0.8
+def chapeau(x):
+ if x<xlimit:
+ y=x
+ else:
+ y=2*xlimit-x
+ return y
+
+def TEST_lagrange_usingfunction_01():
+ arrX=numpy.arange(start=0., stop=1., step=0.1, dtype='float64')
+ input = points_usingfunction(arrX,chapeau)
+ polynom = lagrange(input)
+ print polynom
+ plot(function=polynom, start=0., stop=1., step=0.001)
+
+
+if __name__ == "__main__":
+ #TEST_lagrange_01()
+ TEST_lagrange_02()
+ #TEST_lagrange_usingarrays_01()
+ #TEST_lagrange_usingarrays_02()
+ #TEST_lagrange_usingfunction_01()
+ #TEST_lagrange_usingfunction_01()
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+import pylab
+import numpy
+def plot(function, start=0., stop=1., step=0.01):
+ """
+ The parameter function must be a callable.
+ """
+ arrX=numpy.arange(start, stop, step, dtype='float64')
+ # function is a callable
+ arrY=map(function,arrX)
+ pylab.plot(arrX, arrY)
+ pylab.show()
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+import CORBA
+import PARAVIS_Gen_idl
+import SALOME_ContainerManager_idl
+
+from SALOME_NamingServicePy import SALOME_NamingServicePy_i
+
+from MEDCouplingCorba import *
+
+def createALocalMesh():
+ targetCoords=[ 0., 0., 0., 50., 0., 0. , 200., 0., 0. , 0., 50., 0., 50., 50., 0. , 200., 50., 0., 0., 200., 0., 50., 200., 0. , 200., 200., 0. ,
+ 0., 0., 50., 50., 0., 50. , 200., 0., 50. , 0., 50., 50., 50., 50., 50. , 200., 50., 50., 0., 200., 50., 50., 200., 50. , 200., 200., 50. ,
+ 0., 0., 200., 50., 0., 200. , 200., 0., 200. , 0., 50., 200., 50., 50., 200. , 200., 50., 200., 0., 200., 200., 50., 200., 200. , 200., 200., 200. ];
+ targetConn=[0,1,4,3,9,10,13,12, 1,2,5,4,10,11,14,13, 3,4,7,6,12,13,16,15, 4,5,8,7,13,14,17,16,
+ 9,10,13,12,18,19,22,21, 10,11,14,13,19,20,23,22, 12,13,16,15,21,22,25,24, 13,14,17,16,22,23,26,25];
+ targetMesh=MEDCouplingUMesh.New();
+ targetMesh.setMeshDimension(3);
+ targetMesh.setName("MyMesh3D");
+ targetMesh.setDescription("build3DMesh");
+ targetMesh.allocateCells(12);
+ for i in xrange(8):
+ targetMesh.insertNextCell(NORM_HEXA8,8,targetConn[8*i:8*(i+1)]);
+ pass
+ targetMesh.finishInsertingCells();
+ myCoords=DataArrayDouble.New();
+ myCoords.setValues(targetCoords,27,3);
+ targetMesh.setCoords(myCoords)
+ myCoords.setName("check in case")
+ return targetMesh;
+
+def createALocalField1():
+ m=createALocalMesh()
+ field=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
+ field.setMesh(m)
+ da=DataArrayDouble.New()
+ da.setValues([1.,11.,101.,1001., 2.,12.,102.,1002., 3.,13.,103.,1003., 4.,14.,104.,1004., 5.,15.,105.,1005., 6.,16.,106.,1006., 7.,17.,107.,1007., 8.,18.,108.,1008.,],8,4)
+ field.setArray(da)
+ field.setName("vitoo")
+ field.setTime(4.5,3,4)
+ return field
+
+def createALocalField2():
+ m=createALocalMesh()
+ field=MEDCouplingFieldDouble.New(ON_NODES,ONE_TIME)
+ field.setMesh(m)
+ da=DataArrayDouble.New()
+ da.setValues([float(3*i) for i in xrange(27)],27,1)
+ field.setArray(da)
+ field.setName("vitooNode")
+ field.setTime(4.7,9,14)
+ return field
+
+def createALocalMultiField3():
+ fName="FieldOverTimeCorba"
+ m=createALocalMesh()
+ nbOfFields=100
+ fs=nbOfFields*[None]
+ for i in xrange(nbOfFields):
+ fs[i]=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
+ fs[i].setMesh(m)
+ da=DataArrayDouble.New()
+ da.setValues([0.,1.,2.+i,3.,4.,5.,7.],8,1)
+ fs[i].setArray(da)
+ fs[i].setName(fName)
+ fs[i].setTime(1.2+i,9,14)
+ pass
+ ret=MEDCouplingFieldOverTime.New(fs);
+ return ret
+
+def createALocalCMesh4():
+ mesh=MEDCouplingCMesh.New();
+ coordsX=DataArrayDouble.New();
+ arrX=[ -1., 1., 2., 4. ]
+ coordsX.setValues(arrX,4,1);
+ coordsY=DataArrayDouble.New();
+ arrY=[ -2., 4., 8. ]
+ coordsY.setValues(arrY,3,1);
+ coordsZ=DataArrayDouble.New();
+ arrZ=[ -3., 3., 6., 12., 17. ]
+ coordsZ.setValues(arrZ,5,1);
+ mesh.setCoords(coordsX,coordsY,coordsZ);
+ mesh.setName("CMeshSample")
+ return mesh
+
+def createALocalField5():
+ m=createALocalCMesh4()
+ field=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
+ field.setMesh(m)
+ da=DataArrayDouble.New()
+ field.setTime(14.5,0,0)
+ da.setValues([float(7*i) for i in xrange(24)],24,1)
+ field.setName("MeshOnCMesh");
+ field.setArray(da)
+ return field;
+
+
+######
+
+orb = CORBA.ORB_init([], CORBA.ORB_ID)
+poa=orb.resolve_initial_references("RootPOA");
+mgr=poa._get_the_POAManager();
+mgr.activate();
+
+###### Searching for
+
+naming_service = SALOME_NamingServicePy_i(orb)
+rp=SALOME_ContainerManager_idl._0_Engines.ResourceParameters("","","",["PARAVIS"],1,10,10,1,1,"first",[])
+cp=SALOME_ContainerManager_idl._0_Engines.ContainerParameters("","get","",1,False,"",rp)
+sm=naming_service.Resolve("/ContainerManager")
+cont=sm.GiveContainer(cp)
+paraviz=naming_service.Resolve("/Containers/%s/FactoryServer/PARAVIS_inst_1"%(cont.getHostName()))
+
+######
+
+meshCorba=MEDCouplingUMeshServant._this(createALocalMesh())
+ior=orb.object_to_string(meshCorba)
+print "mesh : ",ior
+
+f1=MEDCouplingFieldDoubleServant._this(createALocalField1())
+ior2=orb.object_to_string(f1)
+print "Field on cell ",ior2
+
+f2=MEDCouplingFieldDoubleServant._this(createALocalField2())
+ior3=orb.object_to_string(f2)
+print "Field on node ",ior3
+
+fs3=MEDCouplingFieldOverTimeServant._this(createALocalMultiField3())
+fs3.Register()
+ior4=orb.object_to_string(fs3)
+print "Fields over time ",ior4
+
+m2=MEDCouplingCMeshServant._this(createALocalCMesh4())
+ior5=orb.object_to_string(m2)
+print "CMesh 2 : ",ior5
+
+f5=MEDCouplingFieldDoubleServant._this(createALocalField5())
+ior6=orb.object_to_string(f5)
+print "Field on cell CMesh ",ior6
+
+script="""
+src1 = ParaMEDCorbaPluginSource()
+src1.IORCorba = '%s'
+asc=GetAnimationScene()
+rw=GetRenderView()
+dr=Show()\ndr.Visibility = 1
+"""
+
+content=script%(ior4)
+paraviz.ExecuteScript(content)
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
+#
+# 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 script illustrates the basic usage of MEDCoupling and MEDLoader
+# to generate test data files for various cases of med operation. It
+# illustrates also the usage of numpy to specify the values of the
+# fields when defined on a cartesian mesh (grid).
+# (gboulant - 11/07/2011)
+
+import MEDCoupling as MC
+import MEDLoader as ML
+
+import numpy
+
+#
+# ===============================================================
+# Helper functions to create meshes
+# ===============================================================
+#
+
+def createGridMesh(meshName, nbCellsX, nbCellsY):
+ """
+ The mesh is created using MEDCoupling. The code below creates a
+ cartesian mesh as a grid with nbCellsX segments in the X direction
+ and nbCellsY in the Y direction (nb. cells = nbCellsX * nbCellsY)
+ """
+ print "Creating grid mesh of size %sx%s"%(nbCellsX, nbCellsY)
+ cmesh=MC.MEDCouplingCMesh.New();
+
+ # Create X coordinates
+ nbNodesX = nbCellsX+1
+ stepX = 0.1
+ arrX = [float(i * stepX) for i in range(nbNodesX)]
+ coordsX=MC.DataArrayDouble.New()
+ coordsX.setValues(arrX,nbNodesX,1)
+
+ # Create Y coordinates
+ nbNodesY = nbCellsY+1
+ stepY = 0.1
+ arrY=[float(i * stepY) for i in range(nbNodesY)]
+ coordsY=MC.DataArrayDouble.New()
+ coordsY.setValues(arrY,nbNodesY,1)
+
+ # Create the grid
+ cmesh.setCoords(coordsX,coordsY)
+ cmesh.setName(meshName)
+
+ return cmesh
+
+def unstructuredMesh(cartesianMesh):
+ """
+ Convert the cartesian mesh in unstructured mesh for the need of
+ write function of MEDLoader
+ """
+ print "Creating unstructured mesh from %s"%(cartesianMesh.getName())
+ umesh=cartesianMesh.buildUnstructured();
+ umesh.setName(cartesianMesh.getName())
+ return umesh
+
+#
+# ===============================================================
+# Creating a cartesian mesh
+# ===============================================================
+#
+# The size is the number of discrete values in a direction, and then
+# corresponds to the number of cells in that direction.
+size=80
+#size=512
+
+
+# >>>
+# WARNING: remember the problem of tics and spaces. The parameter
+# "size" is considered to be a number of cells (intervals). The number
+# of nodes in that direction is size+1.
+# <<<
+
+nbCellsX = size
+nbNodesX = nbCellsX+1
+
+nbCellsY = size # The size could be different than the X size
+nbNodesY = nbCellsY+1
+
+meshName = "Grid_%sx%s"%(nbCellsX, nbCellsY)
+cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
+umesh = unstructuredMesh(cmesh)
+medFileName="gendata.med"
+ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
+
+#
+# ===============================================================
+# Creating a scalar field, working with numpy
+# ===============================================================
+#
+
+def createField(fieldName,gridMesh,
+ numpy2Darray,typeOfField=MC.ON_CELLS,
+ iteration=0):
+ """
+ The number of values for the fields is deduced from the sizes of
+ the numpy array. If typeOfField is ON_CELLS, the size is considered
+ as the number of cells, otherwise it's considered as the number of
+ nodes. In any case, it must be consistent with the dimensions of
+ the numpy 2D array.
+ """
+ print "Creating field %s with iteration=%s"%(fieldName,iteration)
+
+ # The sizes are deduced from the numpy array. Note that if
+ # typeOfField is ON_CELLS, then the size should correspond to the
+ # number of cells, while if typeOfField is ON_NODES, then the size
+ # should correspond to the number of nodes
+ [sizeX,sizeY] = numpy2Darray.shape
+
+ # We first have to reshape the 2D numpy array in a 1D vector that
+ # concatenate all the rows
+ data=numpy2Darray.reshape(1,sizeX*sizeY)[0]
+ # Then, we can create a simple list as required by the MEDCoupling
+ # DataArrayDouble. Note also the usage of float type because
+ # MEDCoupling works only with real numbers
+ listdata=list(data)
+
+ # Create the field using the list obtained from the numpy array
+ field = MC.MEDCouplingFieldDouble.New(typeOfField,MC.ONE_TIME);
+ field.setName(fieldName);
+ field.setMesh(gridMesh);
+ field.setIteration(iteration)
+ field.setTimeValue(float(iteration))
+
+ nbComponents=1 # Only one single component for a scalar field
+ nbCells=sizeX*sizeY
+ dataArray=MC.DataArrayDouble.New();
+ dataArray.setValues(listdata,nbCells,nbComponents)
+ field.setArray(dataArray);
+
+ return field
+
+def writeField(fieldName, numpy2Darray,
+ typeOfField=MC.ON_CELLS,
+ iteration=0):
+
+ field = createField(fieldName, umesh, numpy2Darray,
+ typeOfField, iteration)
+ createFromScratch=False
+ ML.MEDLoader.WriteField(medFileName,field,createFromScratch)
+
+
+def createTestNumpy2DArray(sizeX, sizeY):
+ """
+ This illustrates how to create a numpy 2D array for input of the
+ createField function.
+ """
+ rows=[]
+ for irow in range(sizeY):
+ row = numpy.arange(start = irow*sizeY,
+ stop = irow*sizeY+sizeX,
+ step = 1,
+ dtype='float64')
+ rows.append(row)
+
+ numpy2Darray = numpy.vstack(rows)
+ return numpy2Darray
+
+def createTestFieldOnCells():
+ # Test field on cells
+ numpy2Darray = createTestNumpy2DArray(sizeX=nbCellsX, sizeY=nbCellsY)
+ writeField("FieldOnCells", numpy2Darray,
+ typeOfField=MC.ON_CELLS)
+
+def createTestFieldOnNodes():
+ # Test field on nodes
+ numpy2Darray = createTestNumpy2DArray(sizeX=nbNodesX, sizeY=nbNodesY)
+ writeField("FieldOnNodes", numpy2Darray,
+ typeOfField=MC.ON_NODES)
+
+
+#
+# =================================================
+# Creating a time series
+# =================================================
+#
+
+# -------------------------------------------------
+# Simple demo of the principles
+# -------------------------------------------------
+
+# In these functions, (x,y) are the indexes of the element in the
+# numpy array. Note that theses indexes maps the indexes of the
+# cartesian mesh.
+
+# A function can be a simple python function ...
+def f1(x,y):
+ z = 10*x
+ print "x=%s\ny=%s\nz=%s"%(x,y,z)
+ return z
+
+# ... but also a more sophisticated callable object, for example to
+# defines some parameters
+class Function(object):
+ def __init__(self, sizeX, sizeY, param):
+ self.sizeX = sizeX
+ self.sizeY = sizeY
+ self.param = param
+
+ def function(self, x,y):
+ z = self.param*x
+ print "x=%s\ny=%s\nz=%s"%(x,y,z)
+ return z
+
+ def __call__(self, x,y):
+ return self.function(x,y)
+
+fOnNodes=Function(sizeX=nbNodesX, sizeY=nbNodesY, param=10)
+fOnCells=Function(sizeX=nbCellsX, sizeY=nbCellsY, param=3)
+
+def createFunctionField_01():
+ sizeX=nbNodesX
+ sizeY=nbNodesY
+ typeOfField=MC.ON_NODES
+ f=fOnNodes
+ numpy2Darray = numpy.fromfunction(f,(sizeX,sizeY),dtype='float64')
+ writeField("FieldOnNodesUsingFunc", numpy2Darray,typeOfField)
+
+ f=fOnCells
+ sizeX=nbCellsX
+ sizeY=nbCellsY
+ typeOfField=MC.ON_CELLS
+ numpy2Darray = numpy.fromfunction(f,(sizeX,sizeY),dtype='float64')
+ writeField("FieldOnCellsUsingFunc", numpy2Darray,typeOfField)
+
+
+# -------------------------------------------------
+# Using the pyfunctions package to generate data
+# -------------------------------------------------
+
+def createNumpy2DArrayWithFunc(sizeX, sizeY, function):
+ """
+ @function : a callable than can be used as a function of X.
+ Typically function should be an instance of Function object
+ defined in pyfunctions.functions.
+ """
+
+ # X coordinates should range between 0 and 1 to use the normalized
+ # functions. We have to generate sizeX points:
+ step=1./sizeX
+ arrX=[float(i * step) for i in range(sizeX)]
+
+ values = function(arrX)
+
+ # Then on can create the base row for the numpy 2D array
+ rowX = numpy.array(values)
+ # and replicate this row along the Y axis
+ rows=[]
+ for irow in range(sizeY):
+ rows.append(rowX)
+
+ numpy2Darray = numpy.vstack(rows)
+ return numpy2Darray
+
+from pyfunctions.functions import FuncStiffPulse
+def createNumpy2DArrayWithFuncStiff(sizeX, sizeY):
+ f=FuncStiffPulse(xlimit=0.3,stiffness=30,nbPeriods=10)
+ return createNumpy2DArrayWithFunc(sizeX, sizeY, f)
+
+def createFunctionField_02():
+ sizeX=nbCellsX
+ sizeY=nbCellsY
+ typeOfField=MC.ON_CELLS
+ numpy2Darray = createNumpy2DArrayWithFuncStiff(sizeX,sizeY)
+ writeField("FieldOnCellsUsingFunc02", numpy2Darray,typeOfField)
+
+ sizeX=nbNodesX
+ sizeY=nbNodesY
+ typeOfField=MC.ON_NODES
+ numpy2Darray = createNumpy2DArrayWithFuncStiff(sizeX,sizeY)
+ writeField("FieldOnNodesUsingFunc02", numpy2Darray,typeOfField)
+
+#
+# =================================================
+# Functions to create custom fields for MEDCalc tests
+# =================================================
+#
+def createTimeSeries():
+ """
+ Create a single med file with a single mesh and a field defined on
+ several time steps (time series).
+ """
+ meshName = "Grid_%sx%s"%(nbCellsX, nbCellsY)
+ cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
+ umesh = unstructuredMesh(cmesh)
+ medFileName="timeseries.med"
+ ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
+
+ sizeX=nbNodesX
+ sizeY=nbNodesY
+ typeOfField=MC.ON_NODES
+
+ nbIterations=10
+ pulseStiffNess = 20
+ pulseNbPeriods = 10
+ for iteration in range(nbIterations):
+ xlimit = float(iteration)/float(nbIterations)
+ f=FuncStiffPulse(xlimit,stiffness=pulseStiffNess,nbPeriods=pulseNbPeriods)
+ numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
+ field = createField("Pulse",umesh,numpy2Darray,typeOfField,iteration)
+ ML.MEDLoader.WriteField(medFileName,field,False)
+
+from pyfunctions.functions import FuncStiffExp
+def createParametrics():
+ """
+ Create 2 med files containing each a mesh (identical) and a field
+ defined on this mesh in each file.
+ """
+ meshName = "Grid_%sx%s_01"%(nbCellsX, nbCellsY)
+ cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
+ umesh = unstructuredMesh(cmesh)
+
+ sizeX=nbNodesX
+ sizeY=nbNodesY
+ typeOfField=MC.ON_NODES
+
+ medFileName="parametric_01.med"
+ ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
+ f=FuncStiffExp(xlimit=0.3,stiffness=30)
+ numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
+ fieldName = "StiffExp_01"
+ field = createField(fieldName,umesh, numpy2Darray,typeOfField)
+ ML.MEDLoader.WriteField(medFileName,field,False)
+
+ medFileName="parametric_02.med"
+ umesh.setName("Grid_%sx%s_02"%(nbCellsX, nbCellsY))
+ ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
+ f=FuncStiffExp(xlimit=0.4,stiffness=30)
+ numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
+ fieldName = "StiffExp_02"
+ field = createField(fieldName,umesh, numpy2Darray,typeOfField)
+ ML.MEDLoader.WriteField(medFileName,field,False)
+
+def createParametrics_demo():
+ """
+ Create 2 med files containing each a mesh (identical) and a field
+ defined on this mesh in each file.
+ """
+ meshName = "mesh1"
+ cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
+ umesh = unstructuredMesh(cmesh)
+
+ sizeX=nbNodesX
+ sizeY=nbNodesY
+ typeOfField=MC.ON_NODES
+
+ listIteration = [0,1,2,3,4]
+
+ medFileName="parametric_01.med"
+ ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
+ fieldName = "field1"
+ for iteration in listIteration:
+ #f=FuncStiffPulse(xlimit=0.3+0.1*iteration,stiffness=10,nbPeriods=5)
+ f=FuncStiffExp(xlimit=0.3+0.1*iteration,stiffness=10)
+ numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
+ field = createField(fieldName,umesh, numpy2Darray,typeOfField,iteration)
+ ML.MEDLoader.WriteField(medFileName,field,False)
+
+ medFileName="parametric_02.med"
+ umesh.setName("mesh2")
+ ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
+ fieldName = "field2"
+ for iteration in listIteration:
+ #f=FuncStiffPulse(xlimit=0.3+0.1*iteration,stiffness=10,nbPeriods=6)
+ f=FuncStiffExp(xlimit=0.3+0.1*iteration,stiffness=15)
+ numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
+ field = createField(fieldName,umesh, numpy2Darray,typeOfField,iteration)
+ ML.MEDLoader.WriteField(medFileName,field,False)
+
+
+
+#
+# =================================================
+# Main runner
+# =================================================
+#
+if __name__ == "__main__":
+ #createTestFieldOnCells()
+ #createTestFieldOnNodes()
+ #createFunctionField_01()
+ #createFunctionField_02()
+ #createTimeSeries()
+ createParametrics_demo()
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
+#
+# 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 use case illustrates the usage of PIL (Python Imaging Library)
+# combined with the MEDCoupling and MEDLoader modules to save an image
+# as a field in a med file.
+# (gboulant - 27/06/2011)
+
+import MEDCoupling as MC
+import MEDLoader as ML
+
+#
+# ===============================================================
+# We first get data from the test image to render as a field
+# ===============================================================
+#
+import scipy, numpy
+# The data field array may be created from the lena image
+#image = scipy.lena()
+# We could either read a real image using the PIL python package.
+from scipy.misc import pilutil
+image = pilutil.imread("images/avatar.png",True)
+
+
+#from PIL import Image
+#im=Image.open("images/irm.png")
+#im=Image.open("images/lena.png")
+#image=pilutil.fromimage(im,True)
+#image=numpy.asarray(im)
+#print image
+
+dim = len(image.shape)
+print "Image space dimension = %d"%dim
+sizeX = image.shape[1]
+sizeY = image.shape[0]
+
+# The sizes defined the number of pixel in a direction, then the
+# number of cells to create in the mesh in that direction.
+
+# We must reshape the matrix of pixel in a 1D vector that concatenates
+# all the rows, and then convert this vector in a simple list of
+# double as required by the MEDCoupling field specification.
+import numpy
+imageDataNArray = image.reshape(1,sizeX*sizeY)[0]
+print imageDataNArray
+
+imageDataNArrayDouble = numpy.array(imageDataNArray, dtype='float64')
+imageDataArrayDouble = list(imageDataNArrayDouble)
+
+#
+# ===============================================================
+# Creating a cartesian mesh with a grid of the size of the image
+# ===============================================================
+#
+
+# >>>
+# WARNING: remember the problem of tics and spaces. The data values
+# are considered as values defined on cells. With size values in a
+# direction, we have to create size+1 mesh nodes in that direction.
+# <<<
+
+# The mesh is created using MEDCoupling
+cmesh=MC.MEDCouplingCMesh.New();
+cmesh.setName("imagemesh")
+
+# We use an arbitrary step between cells (the value does not matter)
+stepX = 0.1
+nbNodesX = sizeX+1
+arrX = [float(i * stepX) for i in range(nbNodesX)]
+coordsX=MC.DataArrayDouble.New()
+coordsX.setValues(arrX,nbNodesX,1)
+
+stepY = 0.1
+nbNodesY = sizeY+1
+arrY=[float(i * stepY) for i in range(nbNodesY)]
+coordsY=MC.DataArrayDouble.New()
+coordsY.setValues(arrY,nbNodesY,1)
+
+cmesh.setCoords(coordsX,coordsY)
+print "Imagem mesh dimension: %d"%cmesh.getSpaceDimension()
+
+# WARN: In the current state of development of MEDLoader, only
+# unstructured meshes are supported for writting function in med
+# files. We just have to convert the cartesian mesh in an unstructured
+# mesh before creating the field.
+umesh=cmesh.buildUnstructured();
+umesh.setName("imagemesh")
+
+#
+# ===============================================================
+# Creating a scalar field on the mesh using image data
+# ===============================================================
+#
+
+# Create the field using MEDCoupling
+field = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS,MC.ONE_TIME);
+field.setName("imagefield");
+field.setMesh(umesh);
+# OPTIONAL: We set an arbitrary time step for test purpose
+field.setIteration(3);
+field.setOrder(0)
+
+dataArray=MC.DataArrayDouble.New();
+nbCells = sizeX*sizeY
+nbComponents=1 # For a scalar field
+
+# This example shows haw to initialize all cell with the same
+# value. Just create an array of size nbCells
+# dataArray.setValues(nbCells*[3.4],nbCells,nbComponents)
+
+dataArray.setValues(imageDataArrayDouble,nbCells,nbComponents)
+field.setArray(dataArray);
+
+# The MEDLoader can be used to save all the stuff in a med file. You
+# just have to specify the field and the MEDLoader will save the
+# underlying mesh.
+createFromScratch=True
+ML.MEDLoader.WriteField("fieldimage.med",field,createFromScratch)
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
+#
+# 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 simple use case illustrates the basic usage of MEDCoupling and
+# MEDLoader to create a cartesian mesh, define a field on this mesh,
+# and save all the stuff in a med file.
+# (gboulant - 27/06/2011)
+
+import MEDCoupling as MC
+import MEDLoader as ML
+
+#
+# ===============================================================
+# Creating a 512x512 cartesian mesh
+# ===============================================================
+#
+# The size is the number of discrete values in a direction, and then
+# corresponds to the number of cells in that direction.
+size=8
+#size=512
+
+# The mesh is created using MEDCoupling. The code below creates a
+# cartesian mesh as a sizexsize grid
+
+# >>>
+# WARNING: remember the problem of tics and spaces. The data values
+# are considered as values defined on cells. With size values in a
+# direction, we have to create size+1 mesh nodes in that direction.
+# <<<
+
+cmesh=MC.MEDCouplingCMesh.New();
+cmesh.setName("512x512 cartesian mesh")
+
+sizeX = size
+nbNodesX = sizeX+1
+stepX = 0.1
+arrX = [float(i * stepX) for i in range(nbNodesX)]
+print "Size of arrX = %d"%len(arrX)
+
+coordsX=MC.DataArrayDouble.New()
+coordsX.setValues(arrX,nbNodesX,1)
+
+sizeY = size
+nbNodesY = sizeY+1
+stepY = 0.1
+arrY=[float(i * stepY) for i in range(nbNodesY)]
+coordsY=MC.DataArrayDouble.New()
+coordsY.setValues(arrY,sizeY,1)
+
+cmesh.setCoords(coordsX,coordsY)
+print cmesh.getSpaceDimension()
+#print cmesh
+
+# WARN: In the current state of development of MEDLoader, only
+# unstructured meshes are supported for writting function in med
+# files. We just have to convert the cartesian mesh in an unstructured
+# mesh before creating the field.
+umesh=cmesh.buildUnstructured();
+umesh.setName("512x512 unstructured mesh")
+
+# This can be used to save the mesh only (can be visualize using
+# SMESH).
+meshFileName = "umesh.med"
+ML.MEDLoader.WriteUMesh(meshFileName,umesh,True);
+
+# Alternatively, you can use a MEDFileMesh to write the mesh in a
+# file.
+medFileCMesh = ML.MEDFileCMesh.New()
+medFileCMesh.setMesh(cmesh)
+medFileCMesh.setName(cmesh.getName())
+meshFileName = "cmesh.med"
+mode = 2
+medFileCMesh.write(meshFileName,mode)
+
+#
+# ===============================================================
+# Creating a scalar field on the 512x512 mesh
+# ===============================================================
+#
+# For the simple test, we create a field that varies in space as
+# field(x,y)=x+y where x and y are coordinates on the mesh
+
+# --- Field on cells
+
+# Create the field
+field = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS);
+field.setName("AnalyticField_onCells");
+field.setMesh(umesh);
+
+nbComponents=1 # Only one single component for a scalar field
+fillFunction="x+y"
+field.fillFromAnalytic(nbComponents,fillFunction);
+
+# The MEDLoader can be used to save all the stuff in a med file. You
+# just have to specify the field and the MEDLoader will save the
+# underlying mesh.
+createFromScratch=True
+ML.MEDLoader.WriteField("fieldtest.med",field,createFromScratch)
+
+# --- Field on nodes
+
+field = MC.MEDCouplingFieldDouble.New(MC.ON_NODES);
+field.setName("AnalyticField_onNodes");
+field.setMesh(umesh);
+field.fillFromAnalytic(nbComponents,fillFunction);
+createFromScratch=False
+ML.MEDLoader.WriteField("fieldtest.med",field,createFromScratch)
+
+
+#
+# ===============================================================
+# Creating a scalar field, working with numpy
+# ===============================================================
+#
+
+# We start by creating a numpy matrix
+import numpy
+rows=[]
+for irow in range(sizeY):
+ row = numpy.arange(irow*sizeY,irow*sizeY+sizeX,dtype='float64')
+ rows.append(row)
+
+marray = numpy.vstack(rows)
+
+# Then, we can reshape the matrix in a 1D vector that concatenate all
+# the rows
+data=marray.reshape(1,sizeX*sizeY)[0]
+# Finally, we can create a simple list as required by the MEDCoupling
+# DataArrayDouble. Note also the usage of float type because
+# MEDCoupling works only with real numbers
+listdata=list(data)
+
+# Create the field using the list obtained from the numpy array
+fieldWithNumpy = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS);
+fieldWithNumpy.setName("Numpy Field");
+fieldWithNumpy.setMesh(umesh);
+
+nbCells=sizeX*sizeY
+dataArray=MC.DataArrayDouble.New();
+dataArray.setValues(listdata,nbCells,nbComponents)
+fieldWithNumpy.setArray(dataArray);
+
+createFromScratch=False
+ML.MEDLoader.WriteField("fieldtest.med",fieldWithNumpy,createFromScratch)
+
+
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
+#
+# 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 script illustrates how to create a matrix of pixels from data
+# read in an image file. At the end, the cells of the matrix
+# corresponds to the cells of a cartesian mesh that could hold a field
+# whose value is the value of the pixel.
+# (gboulant - 13/11/2011)
+
+from PIL import Image
+from PIL import ImageOps
+import numpy
+
+def image2matrix():
+ # Load the image
+ #img=Image.open("images/avatar.png")
+ img=Image.open("images/tests.pgm")
+
+ # Get a grayscale version
+ imgbw=ImageOps.grayscale(img)
+
+ # Save the image (optionnal)
+ imgbw.save(fp="testsbw.pgm")
+
+ # Get the data
+ imgdata=imgbw.getdata()
+ width,height=imgbw.size
+ print list(imgdata)
+ print width,height
+
+ # Convert the data in a matrix using numpy
+ tab=numpy.array(imgdata,dtype='float64')
+ print list(tab)
+ print tab
+ nbRows=height
+ nbCols=width
+ matrix=numpy.reshape(tab,(nbRows,nbCols))
+ # Note that in the reshape function, the height (sizeY) of the image
+ # is specified first, because it corresponds to the number of rows.
+ print matrix
+ print list(matrix)
+
+import MEDCoupling as MC
+import MEDLoader as ML
+def createMesh(meshname, sizeX, sizeY):
+ """
+ Creating a cartesian mesh with a grid of the size of the image.
+ sizeX and sizeY should be respectively the width and heigth of the
+ image.
+ """
+ # >>>
+ # WARNING: remember the problem of tics and spaces. The data values
+ # are considered as values defined on cells. With size values in a
+ # direction, we have to create size+1 mesh nodes in that direction.
+ # <<<
+
+ # The mesh is created using MEDCoupling
+ cmesh=MC.MEDCouplingCMesh.New();
+ cmesh.setName(meshname)
+
+ # We use an arbitrary step between cells (the value does not matter)
+ stepX = 0.1
+ nbNodesX = sizeX+1
+ arrX = [float(i * stepX) for i in range(nbNodesX)]
+ coordsX=MC.DataArrayDouble.New()
+ coordsX.setValues(arrX,nbNodesX,1)
+
+ # For the Y dimension, we have to reverse the coordinates (the
+ # first pixel is at y=height and not at y=0).
+ stepY = 0.1
+ nbNodesY = sizeY+1
+ lengthY = sizeY*stepY
+ arrY=[float(lengthY - i * stepY) for i in range(nbNodesY)]
+ coordsY=MC.DataArrayDouble.New()
+ coordsY.setValues(arrY,nbNodesY,1)
+
+ cmesh.setCoords(coordsX,coordsY)
+ print "Imagem mesh dimension: %d"%cmesh.getSpaceDimension()
+
+ # WARN: In the current state of development of MEDLoader, only
+ # unstructured meshes are supported for writting function in med
+ # files. We just have to convert the cartesian mesh in an unstructured
+ # mesh before creating the field.
+ umesh=cmesh.buildUnstructured();
+ umesh.setName("imagemesh")
+
+ return umesh
+
+def createField(fieldname, mesh, image):
+ """
+ Creating a scalar field on the mesh using image data
+ """
+ # Create the field using MEDCoupling
+ field = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS,MC.ONE_TIME);
+ field.setName(fieldname);
+ field.setMesh(mesh);
+ # OPTIONAL: We set an arbitrary time step for test purpose
+ field.setIteration(0);
+ field.setOrder(0)
+
+ imagedata=list(image.getdata())
+ width,height=image.size
+ nbCells = width*height
+ dataArray=MC.DataArrayDouble.New();
+ nbComponents=1 # For a scalar field
+
+ dataArray.setValues(imagedata,nbCells,nbComponents)
+ field.setArray(dataArray);
+
+ return field
+
+def image2med():
+ img=Image.open("images/avatar.png")
+ #img=Image.open("images/irm.png")
+ imgbw=ImageOps.grayscale(img)
+ # We keep only the grayscale. Maybe, it could be usefull to get
+ # the RGB scales each on one component of the field.
+
+ width,height=imgbw.size
+ mesh=createMesh("mesh",width,height)
+ field=createField("field",mesh,imgbw)
+
+ createFromScratch=True
+ ML.MEDLoader.WriteField("image.med",field,createFromScratch)
+
+
+# ===================================================================
+
+if __name__ == "__main__":
+ #image2matrix()
+ image2med()
--- /dev/null
+all:
+ python tutorial.py
+ python explore.py
+ python manage.py
+ python testamel.py
+ python cmesh
+
+clean:
+ rm -f *~ *.pyc output.med
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import MEDLoader
+
+import os
+filename = "madnex_field.med"
+filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
+
+meshName="my_field_RG"
+fieldName="my_field"
+itNumber=0
+itOrder=0
+
+# Load as an unstructured mesh
+meshDimRelToMax = 0 # 0 = no restriction
+umesh = MEDLoader.ReadUMeshFromFile(filepath,meshName,meshDimRelToMax)
+print "umesh is structured: %s"%umesh.isStructured()
+
+# Load as a structured mesh explicitly
+# _T2A
+from MEDLoader import MEDFileCMesh
+medfile = MEDFileCMesh.New(filepath,meshName)
+cmesh = medfile.getMesh()
+# Note that the getMesh method is a short way to the method:
+#cmesh = medfile.getGenMeshAtLevel(0,False)
+print "cmesh is structured: %s"%cmesh.isStructured()
+# _T2B
+
+# Load and let MEDLoader decide what is nature of the mesh
+# _T1A
+from MEDLoader import MEDFileMesh
+medfile = MEDFileMesh.New(filepath,meshName)
+print medfile.advancedRepr()
+meshDimRelToMax = 0 # 0 = no restriction
+mesh = medfile.getGenMeshAtLevel(meshDimRelToMax)
+print "mesh is structured: %s"%mesh.isStructured()
+# _T1B
+
+
+# Write the mesh to another file
+# _T3A
+outputfilepath="output.med"
+mode=0
+medfile.write(outputfilepath,mode)
+# _T3B
+
+# test to reload the mesh
+medfile = MEDFileCMesh.New(outputfilepath,meshName)
+cmesh = medfile.getMesh()
+print "cmesh is structured: %s"%cmesh.isStructured()
+
+# Q: Is it possible to know if a mesh is structured or unstructured
+# without loading the mesh.
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import MEDLoader
+
+import os
+#filename = "madnex_field.med"
+filename = "timeseries.med"
+filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
+
+# Read the source meshes
+meshNames = MEDLoader.GetMeshNames(filepath)
+
+# Set to True if the meshes and fields data must be loaded. Otherwise,
+# only theire descriptions will be loaded.
+READ_PHYSICAL_DATA=False
+
+for meshName in meshNames:
+
+ print "%s"%meshName
+
+ # At this step, one can load the mesh of name meshName (but it is
+ # not an obligation to continue to explore the metadata)
+ meshDimRelToMax = 0 # 0 = no restriction
+ if READ_PHYSICAL_DATA:
+ mesh = MEDLoader.ReadUMeshFromFile(filepath,meshName,meshDimRelToMax)
+ # Note that the read function required the parameter
+ # meshDimRelToMax. This parameter discreminates the meshdim you
+ # are interested to relatively to the maximal dimension of cells
+ # contained in the mesh in file (then its value could be 0, -1, -2
+ # or -3 depending on the max dimension of the mesh. 0 means "no
+ # restriction".
+
+ # Read the names of the fields that rely on this mesh
+ fieldNames = MEDLoader.GetAllFieldNamesOnMesh(filepath,meshName)
+
+ for fieldName in fieldNames:
+
+ print " %s"%fieldName
+
+ # A field name could identify several MEDCoupling fields, that
+ # differ by their spatial discretization on the mesh (values on
+ # cells, values on nodes, ...). This spatial discretization is
+ # specified by the TypeOfField that is an integer value in this
+ # list:
+ # 0 = ON_CELLS
+ # 1 = ON_NODES
+ # 2 = ON_GAUSS_PT
+ # 3 = ON_GAUSS_NE
+ #
+ # As a consequence, before loading values of a field, we have
+ # to determine the types of spatial discretization defined for
+ # this field and to chooose one.
+
+ listOfTypes = MEDLoader.GetTypesOfField(filepath,meshName,fieldName)
+ for typeOfDiscretization in listOfTypes:
+ print " %s"%typeOfDiscretization
+
+ # Then, we can get the iterations associated to this field on
+ # this type of spatial discretization:
+ fieldIterations = MEDLoader.GetFieldIterations(typeOfDiscretization,
+ filepath,
+ meshName,
+ fieldName)
+
+ # Then, we can access to the physical data for each
+ # iteration of this field
+ for fieldIteration in fieldIterations:
+ itNumber = fieldIteration[0]
+ itOrder = fieldIteration[1]
+ print " (%s,%s)"%(itNumber,itOrder)
+
+ if READ_PHYSICAL_DATA:
+ medCouplingField = MEDLoader.ReadField(typeOfDiscretization,
+ filepath,
+ meshName,
+ meshDimRelToMax,
+ fieldName,
+ itNumber,
+ itOrder)
+ print medCouplingField
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+# _T1A
+import collections
+def tree():
+ return collections.defaultdict(tree)
+
+fieldTree = tree()
+meshDict = {}
+# _T1B
+
+import os
+filename = "timeseries.med"
+filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
+
+# _T2A
+from MEDLoader import MEDLoader
+meshNames = MEDLoader.GetMeshNames(filepath)
+
+meshDimRelToMax = 0 # 0 = no restriction
+
+for meshName in meshNames:
+ mesh = MEDLoader.ReadUMeshFromFile(filepath,meshName,meshDimRelToMax)
+ meshDict[meshName] = mesh
+
+ fieldNames = MEDLoader.GetAllFieldNamesOnMesh(filepath,meshName)
+ for fieldName in fieldNames:
+ listOfTypes = MEDLoader.GetTypesOfField(filepath,meshName,fieldName)
+ for typeOfDiscretization in listOfTypes:
+ fieldIterations = MEDLoader.GetFieldIterations(typeOfDiscretization,
+ filepath,
+ meshName,
+ fieldName)
+ for fieldIteration in fieldIterations:
+ itNumber = fieldIteration[0]
+ itOrder = fieldIteration[1]
+
+ field = MEDLoader.ReadField(typeOfDiscretization,
+ filepath,
+ meshName,
+ meshDimRelToMax,
+ fieldName,
+ itNumber,
+ itOrder)
+
+ fieldTree\
+ [meshName]\
+ [fieldName]\
+ [typeOfDiscretization]\
+ [itNumber][itOrder] = field
+# _T2B
+
+# Q: use a list of structures whose an attribute could be a
+# MEDCoupling field? Or a tree that you cross using attribute and
+# whose leaves are the MEDCoupling fields?
+# R: I think that the default structure should be a simple list that
+# store objects whith properties that corresponds to the metadata (and
+# if loaded the MEDCouplingField or Mesh). Then for specific request,
+# a BTree could be create to organize the search (for example if we
+# request all the fields for a given iteration step, then we should
+# use the iteration step as a first classifaction switch of the tree
+
+print fieldTree.keys()
+
+# _T3A
+for meshName in fieldTree.keys():
+ print "%s"%meshName
+ for fieldName in fieldTree[meshName].keys():
+ print " %s"%fieldName
+ for fieldType in fieldTree[meshName][fieldName].keys():
+ print " %s"%fieldType
+ for itNumber in fieldTree[meshName][fieldName][fieldType].keys():
+ for itOrder in fieldTree[meshName][fieldName][fieldType][itNumber].keys():
+ print " (%s,%s)"%(itNumber,itOrder)
+ print fieldTree[meshName][fieldName][fieldType][itNumber][itOrder]
+# _T3B
--- /dev/null
+# -*- coding: iso-8859-1 -*-
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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 illustrates the use of getValueOn in the case of hexahedron
+# meshes (for which a temporary limitation implies the usage of the
+# method simplexize that split the hexahedron into simplex,
+# i.e. triangles and tetrahedrons).
+#
+# (gboulant, nov. 2012)
+from MEDLoader import *
+from MEDCoupling import *
+
+import os
+filename = "timeseries.med"
+filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
+
+rmedfilename = filepath
+
+# Load the meshe data
+meshname = "Grid_80x80"
+fieldname = "Pulse"
+dimrestriction = 0 # no restriction
+msource = MEDLoader.ReadUMeshFromFile(rmedfilename,meshname,dimrestriction)
+
+# WARN: In the current version of MEDCoupling, the getValueOn works
+# only with simplex cells (triangles, tetrahedron). This is not a
+# technical problem, but a question of specification of the
+# interpolation to be performed in the case of other cells, in
+# particular in the case of hexahedron meshes.
+#
+# A temporary solution (with good numerical results) is to split
+# hexahedrons into simplex (before the association of the mesh to the
+# field) using the method simplexize.
+policy = 0
+msource.simplexize(policy)
+
+# Load the field data at iteration 0
+iteration = 0
+order = -1
+fieldOnNodes = MEDLoader.ReadField(ON_NODES,rmedfilename,
+ meshname,dimrestriction,
+ fieldname,iteration,order)
+
+
+fieldOnNodes.setMesh(msource)
+
+# Get the value of field at coordinates x,y
+x=0.5
+y=0.5
+fieldValue = fieldOnNodes.getValueOn([x,y])
+print fieldValue
--- /dev/null
+#!/usr/bin/env python
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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 script illustrates the basic features of MEDLoader
+# (gboulant, 17 nov 2012)
+import os
+filename = "timeseries.med"
+filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
+
+# _T1A
+from MEDLoader import MEDLoader
+meshNames = MEDLoader.GetMeshNames(filepath)
+# _T1B
+meshName=meshNames[0]
+# _T2A
+fieldNames = MEDLoader.GetAllFieldNamesOnMesh(filepath,meshName)
+# _T2B
+fieldName=fieldNames[0]
+# _T3A
+listOfTypes = MEDLoader.GetTypesOfField(filepath,meshName,fieldName)
+# _T3B
+typeOfDiscretization=listOfTypes[0]
+# _T4A
+fieldIterations = MEDLoader.GetFieldIterations(typeOfDiscretization,
+ filepath,
+ meshName,
+ fieldName)
+# _T4B
+
+iteration = fieldIterations[0]
+iterationNumber = iteration[0]
+iterationOrder = iteration[1]
+
+dimrestriction = 0
+# _T5A
+mesh = MEDLoader.ReadUMeshFromFile(filepath, meshName, dimrestriction)
+# _T5B
+# _T6A
+field = MEDLoader.ReadField(typeOfDiscretization,
+ filepath, meshName, dimrestriction,
+ fieldName, iterationNumber, iterationOrder)
+# _T6B
--- /dev/null
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="2325" NumberOfCells="9330">
+ <PointData>
+
+ </PointData>
+ <CellData>
+ <DataArray type="Float32" Name="PID" NumberOfComponents="1" format="ascii" RangeMin="0" RangeMax="2">
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10 10 10 10 10 10
+ </DataArray>
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+</VTKFile>
--- /dev/null
+# You first have to set the shell environement for medcoupling
+# (see medcoupling/env.sh)
+
+all:
+ python simpledemo.py
+
+clean:
+ rm merge.med *~
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import *
+
+it,dt = (-1,-1)
+mesh = MEDLoader.ReadUMeshFromFile("field1.med","DomainMesh_1",0)
+f1 = MEDLoader.ReadField(ON_CELLS,"field1.med","DomainMesh_1",0,"field1",it,dt)
+f1.setMesh(mesh)
+
+mesh = MEDLoader.ReadUMeshFromFile("field2.med","DomainMesh_2",0)
+f2 = MEDLoader.ReadField(ON_CELLS,"field2.med","DomainMesh_2",0,"field2",it,dt)
+f2.setMesh(mesh)
+
+mesh = MEDLoader.ReadUMeshFromFile("field3.med","DomainMesh_3",0)
+f3 = MEDLoader.ReadField(ON_CELLS,"field3.med","DomainMesh_3",0,"field3",it,dt)
+f3.setMesh(mesh)
+
+#mesh = MEDLoader.ReadUMeshFromFile("field4.med","DomainMesh_4",0)
+#f4 = MEDLoader.ReadField(ON_CELLS,"field4.med","DomainMesh_4",0,"field4",it,dt)
+#f4.setMesh(mesh)
+
+fmerge=MEDCouplingFieldDouble.MergeFields([f1,f2,f3])
+fmerge.setName("merge")
+
+MEDLoader.WriteField("merge.med",fmerge,True)
+
--- /dev/null
+# You first have to set the shell environement for medcoupling
+# (see medcoupling/env.sh)
+
+all:
+ python splitdemo.py
+
+clean:
+ rm out*.vtu DomainMesh.vtu Domain.vtu *~
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import *
+
+fns=['DomainMesh_1.med', 'DomainMesh_2.med','DomainMesh_3.med', 'DomainMesh_4.med']
+outs=["out1.vtu","out2.vtu","out3.vtu","out4.vtu"]
+trs=[(-0.714,-0.714,0.),(0.,0.,0.),(-0.577,-0.577,-0.577),(-0.577,0.3,-0.577)]
+scal=0.5
+fs=4*[None]
+dds=4*[None]
+mns=4*[None]
+i=0
+
+splitview=True
+
+for fn in fns:
+ m=MEDFileMesh.New(fn)
+ m=m.getMeshAtLevel(0)
+ m.writeVTK(outs[i])
+ mns[i]=m.deepCpy()
+ if splitview:
+ m.translate([scal*elt for elt in trs[i]])
+ f=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
+ f.setMesh(m)
+ da=DataArrayDouble.New()
+ da.alloc(m.getNumberOfCells(),1)
+ da.fillWithValue(i)
+ dds[i]=da.deepCpy()
+ f.setArray(da)
+ fs[i]=f
+ i+=1
+ pass
+
+
+f=MEDCouplingFieldDouble.MergeFields(fs)
+f.setName("PID")
+
+MEDCouplingFieldDouble.WriteVTK("Domain.vtu",[f])
+dd=DataArrayDouble.Aggregate(dds)
+m=MEDCouplingUMesh.MergeUMeshes(mns)
+if splitview:
+ m.translate([4.*elt for elt in [0.577,0.577,0.577]])
+f2=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
+f2.setMesh(m)
+f2.setArray(dd)
+f2.setName("PID")
+MEDCouplingFieldDouble.WriteVTK('DomainMesh.vtu',[f2])
+#m=MEDCouplingUMesh.MergeUMeshes(mns)
+#m.writeVTK("DomainMesh.vtu")
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import *
+
+fns=['DomainMesh_1.med', 'DomainMesh_2.med','DomainMesh_3.med']
+outs=["out1.vtu","out2.vtu","out3.vtu","out4.vtu"]
+trs=[(-0.714,-0.714,0.),(0.,0.,0.),(-0.577,-0.577,-0.577)]
+scal=0.5
+fs=3*[None]
+dds=3*[None]
+mns=3*[None]
+i=0
+
+splitview=False
+
+for fn in fns:
+ m=MEDFileMesh.New(fn)
+ m=m.getMeshAtLevel(0)
+ m.writeVTK(outs[i])
+ mns[i]=m.deepCpy()
+ if splitview:
+ m.translate([scal*elt for elt in trs[i]])
+ f=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
+ f.setMesh(m)
+ da=DataArrayDouble.New()
+ da.alloc(m.getNumberOfCells(),1)
+ da.fillWithValue(i)
+ dds[i]=da.deepCpy()
+ f.setArray(da)
+ fs[i]=f
+ i+=1
+ pass
+
+
+f=MEDCouplingFieldDouble.MergeFields(fs)
+f.setName("PID")
+
+MEDCouplingFieldDouble.WriteVTK("Domain.vtu",[f])
+dd=DataArrayDouble.Aggregate(dds)
+m=MEDCouplingUMesh.MergeUMeshes(mns)
+if splitview:
+ m.translate([3.*elt for elt in [0.577,0.577,0.577]])
+f2=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
+f2.setMesh(m)
+f2.setArray(dd)
+f2.setName("PID")
+MEDCouplingFieldDouble.WriteVTK('DomainMesh.vtu',[f2])
+#m=MEDCouplingUMesh.MergeUMeshes(mns)
+#m.writeVTK("DomainMesh.vtu")
--- /dev/null
+DBRep_DrawableShape
+
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+1 43 0 0.0049952942703185 0.015
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+-12 0 -11 0 +107 0 +19 0 +16 0 -80 0 *
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+0 1e-07 10 0
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++10 0 *
+Ed
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+1 44 0 0.858826669373852 1
+2 116 3 42 0.858826669373852 1
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++7 0 *
+Wi
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+-120 44 -8 0 -11 0 *
+Fa
+0 1e-07 1 58
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++5 0 *
+Sh
+
+0101000
++17 0 -74 0 +14 0 +9 0 -6 0 -4 0 *
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+
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++3 0 *
+Co
+
+1100000
++258 0 +62 0 +42 0 +22 0 +2 0 *
+
++1 0
\ No newline at end of file
--- /dev/null
+# You first have to set the shell environement for medcoupling
+# (see medcoupling/env.sh)
+
+all:
+ python demo_loadsource.py
+ python demo_createsource.py
+
+clean:
+ rm -f createsource_fieldtarget.med loadsource_fieldtarget.med *~
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+#
+# Another possibility (to illustrate the creation of values) is to
+# create the source field using the function fillFromAnalytic
+#
+from MEDLoader import *
+from MEDCouplingRemapper import *
+
+# Read the source mesh and create a field on it
+msource = MEDLoader.ReadUMeshFromFile("meshsource.med","meshsource",0)
+
+equation = "319.*cos(((x)*(x)*3+(y-0.52)*(y-0.52)+(z-0.1)*(z-0.1))*7)"
+fsource=msource.fillFromAnalytic(ON_CELLS,1,equation)
+fsource.setName("Temperature")
+fsource.setNature(ConservativeVolumic)
+
+# Read the target mesh
+mtarget = MEDLoader.ReadUMeshFromFile("meshtarget.med","meshtarget",0)
+
+# Remapper of type P0P0 (interpolation from cells to cells)
+remap = MEDCouplingRemapper()
+remap.prepare(msource,mtarget,"P0P0")
+
+defaultValue = 1e100
+ftarget = remap.transferField(fsource,defaultValue)
+ftarget.setName("Temperature")
+
+outfilename = "createsource_fieldtarget.med"
+MEDLoader.WriteField(outfilename,ftarget,True)
+
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+# _T1A
+from MEDLoader import MEDLoader, ON_CELLS
+from MEDCouplingRemapper import MEDCouplingRemapper, ConservativeVolumic
+
+# Read the source mesh and the source field
+it,dt = (-1,-1)
+msource = MEDLoader.ReadUMeshFromFile("fieldsource.med","meshsource",0)
+fsource = MEDLoader.ReadField(ON_CELLS,"fieldsource.med","meshsource",0,
+ "Temperature",it,dt)
+fsource.setMesh(msource)
+fsource.setNature(ConservativeVolumic)
+
+# Read the target mesh
+mtarget = MEDLoader.ReadUMeshFromFile("meshtarget.med","meshtarget",0)
+
+# Remapper of type P0P0 (interpolation from cells to cells)
+remap = MEDCouplingRemapper()
+remap.prepare(msource,mtarget,"P0P0")
+
+defaultValue = 1e100
+ftarget = remap.transferField(fsource,defaultValue)
+ftarget.setName("Temperature")
+
+outfilename = "loadsource_fieldtarget.med"
+MEDLoader.WriteField(outfilename,ftarget,True)
+# _T1B
--- /dev/null
+# You first have to set the shell environement for medcoupling
+# (see medcoupling/env.sh)
+
+all:
+ python projection.py
+
+clean:
+ rm MeshTarget.vtu MeshSource.vtu FieldTarget.vtu *~
--- /dev/null
+# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
+#
+# 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
+#
+
+from MEDLoader import *
+from MEDCouplingRemapper import *
+
+ms=MEDFileMesh.New("MeshSource.med") ; ms=ms.getMeshAtLevel(0)
+mt=MEDFileMesh.New("MeshTarget.med") ; mt=mt.getMeshAtLevel(0)
+fs=ms.fillFromAnalytic(ON_CELLS,1,"319.*cos(((x)*(x)*3+(y-0.52)*(y-0.52)+(z-0.1)*(z-0.1))*7)")
+fs.setNature(ConservativeVolumic)
+fs.setName("Temperature")
+MEDCouplingFieldDouble.WriteVTK("MeshSource.vtu",[fs])
+
+mt2=mt.deepCpy()
+mt2.translate([0.4,0.,0.])
+mt2.writeVTK("MeshTarget.vtu")
+#
+remap=MEDCouplingRemapper()
+remap.prepare(ms,mt,"P0P0")
+ft=remap.transferField(fs,1e100)
+ft.setName("Temperature")
+ft.getMesh().translate([0.4,0.,0.])
+MEDCouplingFieldDouble.WriteVTK("FieldTarget.vtu",[ft])
+
+
+# Image illustrating the starting point:
+# - load MeshSource.vtu (contains mesh+field)
+# - load MeshTarget.vtu (contains only the mesh with translation)
+#
+# Image illustrating the result point:
+# - load MeshSource.vtu
+# - load FieldTarget.vtu
+
Old_maillage_chemvalIV_cas1_40elts.med
pointe_nomorereadable21.med
# pointe.med
- poly3D.med
+# poly3D.med
polyedres.med
- polygones.med
+# polygones.med
recoll_bord.med
test19.med
test_2D.med
# MovedHexaBox2.med
# BoxTetra2.med
# square1.med
- square1_split
- square1_split1.med
- square1_split2.med
- square1_split3.med
+# square1_split
+# square1_split1.med
+# square1_split2.med
+# square1_split3.med
# square2.med
- square2_split
- square2_split1.med
- square2_split2.med
+# square2_split
+# square2_split1.med
+# square2_split2.med
testStructCart3D.med
- Mesh3D_10_2d1.med
- Mesh3D_10_2d2.med
- Mesh3D_11.med
+# Mesh3D_10_2d1.med
+# Mesh3D_10_2d2.med
+# Mesh3D_11.med
# Pol1.fig
# Pol2.fig
# Pol3.fig
+++ /dev/null
-This directory contains small use cases that are used in the userguide documentation
-to illustrate the basic usage of med coupling from the python programming interface.
+++ /dev/null
-# You first have to set the shell environement for medcoupling
-
-all:
- python addition.py
- python operations.py
-
-clean:
- rm -f addition.med scaling.med addition_01.med addition_02.med *~
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import MEDLoader, ON_NODES
-
-medfilename = "timeseries.med" # med source filename
-meshname = "Grid_80x80" # name of the support mesh
-dimrestriction = 0 # 0=no restriction
-fieldname = "Pulse" # name of the field series
-
-# Load the support mesh
-mesh = MEDLoader.ReadUMeshFromFile(medfilename,meshname,dimrestriction)
-
-# Load the field at timestamps 3
-iteration, order = (3,-1) # timestamps to consider
-p3=MEDLoader.ReadField(ON_NODES,medfilename,meshname,dimrestriction,
- fieldname,iteration,order)
-p3.setMesh(mesh)
-
-# Load the field at timestamps 4
-iteration, order = (4,-1) # timestamps to consider
-p4=MEDLoader.ReadField(ON_NODES,medfilename,meshname,dimrestriction,
- fieldname,iteration,order)
-p4.setMesh(mesh)
-
-result = p3+p4
-result.setName("p3+p4")
-
-outfilename = "addition.med"
-MEDLoader.WriteField(outfilename,result,True)
-MEDLoader.WriteField(outfilename,p3,False)
-MEDLoader.WriteField(outfilename,p4,False)
-
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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 script illustrates the basic usage of MEDCoupling and MEDLoader
-# to read fields in a med file and make basics operation on the values
-# (gboulant - 11/07/2011)
-
-
-# _T1A
-medfilename = "timeseries.med" # med source filename
-meshName = "Grid_80x80" # name of the support mesh
-dimrestriction = 0 # 0=no restriction
-fieldName = "Pulse" # name of the field series
-# _T1B
-
-# ==============================================================
-# Make a scaling. This does not require the loading of the mesh
-# _T2A
-from MEDLoader import MEDLoader, ON_NODES
-
-iteration, order = (3,-1) # timestamps to consider
-field=MEDLoader.ReadField(ON_NODES,
- medfilename, meshName, dimrestriction,
- fieldName, iteration, order)
-
-field.applyFunc("f*3")
-outfilename = "scaling.med"
-MEDLoader.WriteField(outfilename,field,True)
-# _T2B
-
-
-# ==============================================================
-# Make an addition. This requires to load first the mesh
-
-# _T3A
-# Load the support mesh
-mesh = MEDLoader.ReadUMeshFromFile(medfilename, meshName, dimrestriction)
-
-# Load the field at timestamps 3
-iteration, order = (3,-1)
-p3=MEDLoader.ReadField(ON_NODES,
- medfilename,meshName,dimrestriction,
- fieldName,iteration,order)
-# Associate the mesh
-p3.setMesh(mesh)
-
-# Load the field at timestamps 4
-iteration, order = (4,-1)
-p4=MEDLoader.ReadField(ON_NODES,
- medfilename, meshName, dimrestriction,
- fieldName, iteration, order)
-# Associate the mesh
-p4.setMesh(mesh)
-
-# Make the addition
-result = p3+p4
-result.setName("p3+p4")
-
-# We can finally save the result together with the operandes fields
-outfilename = "addition.med"
-MEDLoader.WriteField(outfilename,result,True)
-MEDLoader.WriteField(outfilename,p3,False)
-MEDLoader.WriteField(outfilename,p4,False)
-# _T3B
-
-# ==============================================================
-# Make an addition. A different way that loads fields all at once
-mesh = MEDLoader.ReadUMeshFromFile(medfilename, meshName, dimrestriction)
-timestamps = [(3,-1),(4,-1)]
-p3,p4 = MEDLoader.ReadFieldsOnSameMesh(ON_NODES,medfilename,
- meshName,dimrestriction,
- fieldName,timestamps)
-p3.setMesh(mesh)
-p4.setMesh(mesh)
-result = p3+p4
-result.setName("p3+p4")
-
-outfilename = "addition_01.med"
-MEDLoader.WriteField(outfilename,result,True)
+++ /dev/null
-Note that this test scripts required the PIL python library
-
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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 configuration comes in extension with the standard configuration
-# defined by the file envlight.sh for image processing and math
-# processing.
-
-#------ Python Imaging Library ------
-PILDIR=/opt/programs/salome/workspace/prerequisites/install/Pil-117-py266-tcl859-tk859
-export PATH=${PILDIR}/bin:$PATH
-export PYTHONPATH=${PILDIR}/lib/python2.6/site-packages:${PYTHONPATH}
-
-#------ Numpy ------
-NUMPY_DIR=/opt/programs/salome/workspace/prerequisites/install/Numpy-151-py266-la331
-export PATH=${NUMPY_DIR}/bin:${PATH}
-export PYTHONPATH=${NUMPY_DIR}/lib/python2.6/site-packages:${PYTHONPATH}
-
-# ------ Scipy ------
-SCIPY_DIR=/opt/programs/salome/workspace/prerequisites/install/Scipy-090-py266-la331-sw204-nu151
-export PYTHONPATH=${SCIPY_DIR}/lib/python2.6/site-packages:${PYTHONPATH}
-
-# WARN: Matplot, sip and pyqt are requires for the plotter used in
-# lagrange.py (could be optional)
-
-# ------ Matplot ----
-MATPLOT_DIR=/opt/programs/salome/workspace/prerequisites/install/Matplotlib-110-py266-set06c11-num151
-export PYTHONPATH=${MATPLOT_DIR}/lib/python2.6/site-packages:${PYTHONPATH}
-
-#------ sip ------
-SIPDIR=/opt/programs/salome/workspace/prerequisites/install/Sip-4132-py266
-export PATH=${SIPDIR}/bin:${PATH}
-export PYTHONPATH=${SIPDIR}/lib/python2.6/site-packages:${PYTHONPATH}
-export LD_LIBRARY_PATH=${SIPDIR}/lib/python2.6/site-packages:${LD_LIBRARY_PATH}
-
-PYQTDIR=/opt/programs/salome/workspace/prerequisites/install/Pyqt-491p1-py266-qt463p2-sip4132
-#export PYQT_SIPS=${PYQTDIR}/share/sip
-#export PYUIC=${PYQTDIR}/bin/pyuic4
-export PYTHONPATH=${PYQTDIR}/lib/python2.6/site-packages:${PYTHONPATH}
-export PATH=${PYQTDIR}/bin:${PATH}
+++ /dev/null
-P5
-# CREATOR: GIMP PNM Filter Version 1.1
-6 6
-255
-¿¿ÿÿ¿¿¿¿ÿÿ¿¿ÿÿ\ 4\aÿÿÿÿ\ 3\ 4ÿÿ¿¿ÿÿ¿¿¿¿ÿÿ¿¿
\ No newline at end of file
+++ /dev/null
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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 illustrates how to make a mesh partition using the value of a
-# field defined on this mesh (for example to extract the cells where
-# the field takes a value greater than a threshold L.
-# (Anthony Geay, nov. 2012)
-
-# WRN: this use case does not require a med input file because the
-# data (mesh and field) to work with are created from scratch.
-
-from MEDCoupling import *
-
-# =======================================================
-# Creation of the input data (mesh and field)
-# =======================================================
-#
-# We prepare the input field from scratch instead of load it from a
-# file, but there is no difference
-from MEDCouplingDataForTest import MEDCouplingDataForTest
-m3D=MEDCouplingDataForTest.build3DTargetMesh_1()
-m3D.setName("m3D")
-a=DataArrayDouble.New([1.,1.,1.,-1.,-1.,-1.,-1.,-1.])
-field=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
-field.setMesh(m3D)
-field.setArray(a)
-field.checkCoherency()
-field.setName("f")
-
-# Save the field (and associated mesh)
-from MEDLoader import MEDLoader
-MEDLoader.WriteField("partition_input.med",field,True)
-
-# =======================================================
-# Determine the border skin mesh
-# =======================================================
-#
-# We have to determine the 2D mesh that delimits the volume where the
-# field is greater than a threshold L from the volume where the field
-# is lower than this threshold (in this example L=0).
-#
-# WRN: This works in SALOME V660 only
-#
-# _T1A
-L=0.
-arr = field.getArray()
-ids = arr.getIdsInRange(L,1e300)
-m3DSub = field.getMesh()[ids]
-skin = m3DSub.computeSkin()
-MEDLoader.WriteUMesh("partition_skin.med",skin,True);
-# _T1B
-
-# =======================================================
-# Compare to the result in SALOME V650
-# =======================================================
-# SALOME V650 requires a more complicated syntax.
-m2D,desc,descI,revDesc,revDescI=m3DSub.buildDescendingConnectivity()
-numberOf3DVolSharing=revDescI.deltaShiftIndex()
-ids2D=numberOf3DVolSharing.getIdsEqual(1)
-skin_V650=m2D[ids2D]
-# We can check if the two skins are identical
-print "Are two meshes equal between V660 and V650 ?",skin.isEqual(skin_V650,1e-12)
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-
-class Function:
- def __init__(self, **kwargs):
- self.kwargs = kwargs
-
- def function(self, x, **kwargs):
- # This should be implemented in a derived class
- raise Runtime("function is not implemented yet")
-
- def __call__(self, x):
- # The argument can be a scalar or a list, we have to check
- # that first.
- if isIterable(x):
- y = map(self,x)
- else:
- y = self.function(x, **self.kwargs)
- return y
-
-def isIterable(x):
- """
- This returns True if the parameter is an iterable, a list or an
- array, or any collection object.
- """
- try:
- len(x)
- return True
- except TypeError, e:
- return False
-
-#
-# =====================================================
-# Implementation of standard functions. All function are normalized
-# function: the xrange is [0,1], the yrange is [0,1]
-import numpy
-from scipy.constants import pi
-
-# Note that in this situation, the create another constructor because
-# the parameters can be deduced from one single parameter xlimit. The
-# constructor must create a kwargs dictionary that map the arguments
-# of the method "function"
-class FuncConique(Function):
- def __init__(self,xlimit):
- a = 1./(xlimit*xlimit-2*xlimit+1)
- b = -2.*a
- c = a
- d = 1/(xlimit*xlimit)
- # We call the super constructor to redefine the kwarg
- # attribute, so that it fits with the arguments of the method
- # "function":
- Function.__init__(self,xlimit=xlimit,a=a,b=b,c=c,d=d)
- # NOTE: Instead of calling the super constructor, we could
- # redefine directly the kwargs attribute:
- #self.kwargs = {"xlimit":xlimit,
- # "a":a, "b":b,
- # "c":c, "d":d}
-
- def function(self,x,xlimit,a,b,c,d):
- if x<xlimit:
- y=d*x*x
- else:
- y=a*x*x+b*x+c
- return y
-
-
-class FuncChapeau(Function):
- def function(self,x,xlimit):
- if x<xlimit:
- y=x/xlimit
- else:
- y=(x-1)/(xlimit-1)
- return y
-
-class FuncStiffExp(Function):
- """
- xlimit : the x position of the top of the function
- stiffness : the higher it is, the stiffer the function is
- """
- def function(self,x,xlimit,stiffness):
- if x<xlimit:
- y=numpy.exp(stiffness*(x-xlimit))
- else:
- y=numpy.exp(-stiffness*(x-xlimit))
- return y
-
-class FuncCosinus(Function):
- def __init__(self,nbPeriods):
- # The pulsation w must be choosen so that w*xmax=n*2pi where
- # xmax=1 and n is an integer that corresponds to the number of
- # oscilations on the xrange [0,xmax].
- w=nbPeriods*2*pi
- Function.__init__(self,w=w)
-
- def function(self,x,w):
- y=numpy.cos(w*x)
- return y
-
-class FuncStiffPulse(Function):
- def __init__(self,xlimit, stiffness, nbPeriods):
- self.stiffexp=FuncStiffExp(xlimit=xlimit,stiffness=stiffness)
- self.cosinus=FuncCosinus(nbPeriods=nbPeriods)
- Function.__init__(self)
-
- def function(self,x):
- y=self.stiffexp(x)*numpy.abs(self.cosinus(x))
- return y
-
-class FuncHeaviside(Function):
- def function(self,x,xlimit):
- if x<xlimit:
- y=0
- else:
- y=1
- return y
-
-class FuncPorte(Function):
- def function(self,x,xinf,xsup):
- if x<xinf or x>xsup:
- y=0
- else:
- y=1
- return y
-
-import lagrange
-class FuncLagrange(Function):
- def __init__(self,points):
- """
- @points : a dictionary whose keys are x values and values are
- y values to be considered as fixed points for interpolation.
- """
- Function.__init__(self)
- self.polynom = lagrange.lagrange(points)
-
- def function(self,x):
- return self.polynom(x)
-
-#
-# =====================================================
-# Unit tests functions
-# =====================================================
-#
-class MyFunction(Function):
- def function(self,x,a,b):
- y=a*x+b
- return y
-
-def TEST_Function():
- # The parameters of the constructor of MyFunction must be
- # consistent with the kwargs parameters of the method function of
- # the class MyFunction (it must map exactly).
- f=MyFunction(a=3.,b=7.)
-
- x=2
- y_ref = 3.*x+7.
- y_res = f(x)
- print y_ref
- print y_res
- if y_ref != y_res:
- print "ERR"
- else:
- print "OK"
-
-def TEST_Function_withIterable():
- f=MyFunction(a=3.,b=1.)
-
- arrX = [0., 1., 2., 3.]
- arrY = f(arrX)
-
- arrY_ref = [1., 4., 7., 10.]
- print "arrY res =%s"%arrY
- print "arrY ref =%s"%arrY_ref
-
-def TEST_FuncConique():
- f=FuncConique(xlimit=0.3)
- from plotter import plot
- plot(f)
-
-def TEST_FuncChapeau():
- f=FuncChapeau(xlimit=0.3)
- from plotter import plot
- plot(f)
-
-def TEST_FuncStiffExp():
- f=FuncStiffExp(xlimit=0.3,stiffness=20.)
- from plotter import plot
- plot(f)
-
-def TEST_FuncCosinus():
- f=FuncCosinus(nbPeriods=20)
- from plotter import plot
- plot(f, step=0.001)
-
-def TEST_FuncStiffPulse():
- f=FuncStiffPulse(xlimit=0.3,stiffness=50,nbPeriods=15)
- from plotter import plot
- plot(f, step=0.001)
-
-def TEST_FuncHeaviside():
- f=FuncHeaviside(xlimit=0.3)
- from plotter import plot
- plot(f)
-
-def TEST_FuncPorte():
- f=FuncPorte(xinf=0.3,xsup=0.4)
- from plotter import plot
- plot(f)
-
-def TEST_customize_01():
- f=FuncStiffPulse(xlimit=0.3,stiffness=40,nbPeriods=20)
-
- # One can customize the final function as follow (in this example,
- # a linear transform)
- def myfunc(x):
- y=5*f(x)+2
- return y
-
- from plotter import plot
- plot(myfunc, step=0.001)
-
-def TEST_customize_02():
- f=FuncHeaviside(xlimit=0.3)
-
- # One can customize the final function as follow (in this example,
- # reverse of heaviside)
- def myfunc(x):
- y=1-f(x)
- return y
-
- from plotter import plot
- plot(myfunc)
-
-def TEST_FuncLagrange():
- points = {0.:5, 0.2:10, 0.9:10, 0.6:21, 1:8}
- f=FuncLagrange(points)
- from plotter import plot
- plot(f)
-
-if __name__ == "__main__":
- TEST_Function()
- TEST_Function_withIterable()
- #TEST_FuncConique()
- #TEST_FuncChapeau()
- #TEST_FuncStiffExp()
- #TEST_FuncCosinus()
- #TEST_FuncStiffPulse()
- #TEST_FuncHeaviside()
- #TEST_FuncPorte()
- #TEST_customize_01()
- #TEST_customize_02()
- #TEST_FuncLagrange()
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-import scipy
-def lagrange(points):
- '''
- This returns a polynom that fits the points specified in the input
- dictionary (lagrange interpolation). In this dictionary, the keys
- are x value and the values are y corresponding values
- (i.e. y=polynom(x)). The polynom is a scipy polynom and then is a
- callable (can be used as a function).
- '''
- tmp = scipy.poly1d([0])
- result=scipy.poly1d([0])
-
- for i in points.keys():
- numerator=scipy.poly1d([1])
- denom = 1.0
- for j in points.keys():
- if (i != j):
- tmp = scipy.poly1d([1,-j])
- numerator = numerator * tmp
- denom = denom * (i - j)
- tmp = (numerator/denom) * points.get(i)
- result = result + tmp
-
- return result
-
-def points_usingfunction(arrX,function):
- points={}
- for x in arrX:
- points[x] = function(x)
- return points
-
-def points_usingarray(arrX,arrY):
- points={}
- for i in range(len(arrX)):
- x=arrX[i]
- y=arrY[i]
- points[x] = y
- return points
-
-def sortdict(points):
- # Sort this dictionary by keys and returns 2 lists, the list of X
- # and the list of Y, the whole ordered by X
- keys = points.keys()
- keys.sort()
- return keys, [points[key] for key in keys]
-
-import pylab
-import numpy
-def plot(function, start=0., stop=1., step=0.01):
- """
- The parameter function must be a callable.
- """
- arrX=numpy.arange(start, stop, step, dtype='float64')
- # function is a callable
- arrY=map(function,arrX)
- pylab.plot(arrX, arrY)
- pylab.show()
-
-
-# ---
-# The points does not need to be ordered by x values
-def TEST_lagrange_01():
- input = {0.:5, 0.2:10, 0.9:10, 0.6:21, 1:8}
- polynom = lagrange(input)
- print polynom
- plot(function=polynom, start=0., stop=1., step=0.001)
-
-def TEST_lagrange_02():
- input = {0.:0., 0.5:1., 1.:0.}
- polynom = lagrange(input)
- print polynom
- plot(function=polynom, start=0., stop=1., step=0.001)
-
-# ---
-# One can create the input dictionary from arrays
-def TEST_lagrange_usingarrays_01():
- arrX = [0., 0.2, 0.9, 0.6, 1]
- arrY = [5, 10, 10, 21, 8]
- input = points_usingarray(arrX,arrY)
- polynom = lagrange(input)
- print polynom
- plot(function=polynom, start=0., stop=1., step=0.001)
-
-# Another example using numpy
-def TEST_lagrange_usingarrays_02():
- arrX=numpy.arange(start=0., stop=1., step=0.1, dtype='float64')
- arrY=numpy.zeros(len(arrX), dtype='float64')
- arrY[3]=2
- input = points_usingarray(arrX,arrY)
- polynom = lagrange(input)
- print polynom
- plot(function=polynom, start=0., stop=1., step=0.001)
-
-# ---
-# One can create the input dictionary from a function applied to an
-# array of X values
-
-# simple method for mathematical functions
-def TEST_lagrange_usingfunction_01():
- arrX=numpy.arange(start=0., stop=1., step=0.1, dtype='float64')
- arrY=numpy.cos(10*arrX)
- input = points_usingarray(arrX,arrY)
- polynom = lagrange(input)
- print polynom
- plot(function=polynom, start=0., stop=1., step=0.001)
-
-# General method
-xlimit=0.8
-def chapeau(x):
- if x<xlimit:
- y=x
- else:
- y=2*xlimit-x
- return y
-
-def TEST_lagrange_usingfunction_01():
- arrX=numpy.arange(start=0., stop=1., step=0.1, dtype='float64')
- input = points_usingfunction(arrX,chapeau)
- polynom = lagrange(input)
- print polynom
- plot(function=polynom, start=0., stop=1., step=0.001)
-
-
-if __name__ == "__main__":
- #TEST_lagrange_01()
- TEST_lagrange_02()
- #TEST_lagrange_usingarrays_01()
- #TEST_lagrange_usingarrays_02()
- #TEST_lagrange_usingfunction_01()
- #TEST_lagrange_usingfunction_01()
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-import pylab
-import numpy
-def plot(function, start=0., stop=1., step=0.01):
- """
- The parameter function must be a callable.
- """
- arrX=numpy.arange(start, stop, step, dtype='float64')
- # function is a callable
- arrY=map(function,arrX)
- pylab.plot(arrX, arrY)
- pylab.show()
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-import CORBA
-import PARAVIS_Gen_idl
-import SALOME_ContainerManager_idl
-
-from SALOME_NamingServicePy import SALOME_NamingServicePy_i
-
-from MEDCouplingCorba import *
-
-def createALocalMesh():
- targetCoords=[ 0., 0., 0., 50., 0., 0. , 200., 0., 0. , 0., 50., 0., 50., 50., 0. , 200., 50., 0., 0., 200., 0., 50., 200., 0. , 200., 200., 0. ,
- 0., 0., 50., 50., 0., 50. , 200., 0., 50. , 0., 50., 50., 50., 50., 50. , 200., 50., 50., 0., 200., 50., 50., 200., 50. , 200., 200., 50. ,
- 0., 0., 200., 50., 0., 200. , 200., 0., 200. , 0., 50., 200., 50., 50., 200. , 200., 50., 200., 0., 200., 200., 50., 200., 200. , 200., 200., 200. ];
- targetConn=[0,1,4,3,9,10,13,12, 1,2,5,4,10,11,14,13, 3,4,7,6,12,13,16,15, 4,5,8,7,13,14,17,16,
- 9,10,13,12,18,19,22,21, 10,11,14,13,19,20,23,22, 12,13,16,15,21,22,25,24, 13,14,17,16,22,23,26,25];
- targetMesh=MEDCouplingUMesh.New();
- targetMesh.setMeshDimension(3);
- targetMesh.setName("MyMesh3D");
- targetMesh.setDescription("build3DMesh");
- targetMesh.allocateCells(12);
- for i in xrange(8):
- targetMesh.insertNextCell(NORM_HEXA8,8,targetConn[8*i:8*(i+1)]);
- pass
- targetMesh.finishInsertingCells();
- myCoords=DataArrayDouble.New();
- myCoords.setValues(targetCoords,27,3);
- targetMesh.setCoords(myCoords)
- myCoords.setName("check in case")
- return targetMesh;
-
-def createALocalField1():
- m=createALocalMesh()
- field=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
- field.setMesh(m)
- da=DataArrayDouble.New()
- da.setValues([1.,11.,101.,1001., 2.,12.,102.,1002., 3.,13.,103.,1003., 4.,14.,104.,1004., 5.,15.,105.,1005., 6.,16.,106.,1006., 7.,17.,107.,1007., 8.,18.,108.,1008.,],8,4)
- field.setArray(da)
- field.setName("vitoo")
- field.setTime(4.5,3,4)
- return field
-
-def createALocalField2():
- m=createALocalMesh()
- field=MEDCouplingFieldDouble.New(ON_NODES,ONE_TIME)
- field.setMesh(m)
- da=DataArrayDouble.New()
- da.setValues([float(3*i) for i in xrange(27)],27,1)
- field.setArray(da)
- field.setName("vitooNode")
- field.setTime(4.7,9,14)
- return field
-
-def createALocalMultiField3():
- fName="FieldOverTimeCorba"
- m=createALocalMesh()
- nbOfFields=100
- fs=nbOfFields*[None]
- for i in xrange(nbOfFields):
- fs[i]=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
- fs[i].setMesh(m)
- da=DataArrayDouble.New()
- da.setValues([0.,1.,2.+i,3.,4.,5.,7.],8,1)
- fs[i].setArray(da)
- fs[i].setName(fName)
- fs[i].setTime(1.2+i,9,14)
- pass
- ret=MEDCouplingFieldOverTime.New(fs);
- return ret
-
-def createALocalCMesh4():
- mesh=MEDCouplingCMesh.New();
- coordsX=DataArrayDouble.New();
- arrX=[ -1., 1., 2., 4. ]
- coordsX.setValues(arrX,4,1);
- coordsY=DataArrayDouble.New();
- arrY=[ -2., 4., 8. ]
- coordsY.setValues(arrY,3,1);
- coordsZ=DataArrayDouble.New();
- arrZ=[ -3., 3., 6., 12., 17. ]
- coordsZ.setValues(arrZ,5,1);
- mesh.setCoords(coordsX,coordsY,coordsZ);
- mesh.setName("CMeshSample")
- return mesh
-
-def createALocalField5():
- m=createALocalCMesh4()
- field=MEDCouplingFieldDouble.New(ON_CELLS,ONE_TIME)
- field.setMesh(m)
- da=DataArrayDouble.New()
- field.setTime(14.5,0,0)
- da.setValues([float(7*i) for i in xrange(24)],24,1)
- field.setName("MeshOnCMesh");
- field.setArray(da)
- return field;
-
-
-######
-
-orb = CORBA.ORB_init([], CORBA.ORB_ID)
-poa=orb.resolve_initial_references("RootPOA");
-mgr=poa._get_the_POAManager();
-mgr.activate();
-
-###### Searching for
-
-naming_service = SALOME_NamingServicePy_i(orb)
-rp=SALOME_ContainerManager_idl._0_Engines.ResourceParameters("","","",["PARAVIS"],1,10,10,1,1,"first",[])
-cp=SALOME_ContainerManager_idl._0_Engines.ContainerParameters("","get","",1,False,"",rp)
-sm=naming_service.Resolve("/ContainerManager")
-cont=sm.GiveContainer(cp)
-paraviz=naming_service.Resolve("/Containers/%s/FactoryServer/PARAVIS_inst_1"%(cont.getHostName()))
-
-######
-
-meshCorba=MEDCouplingUMeshServant._this(createALocalMesh())
-ior=orb.object_to_string(meshCorba)
-print "mesh : ",ior
-
-f1=MEDCouplingFieldDoubleServant._this(createALocalField1())
-ior2=orb.object_to_string(f1)
-print "Field on cell ",ior2
-
-f2=MEDCouplingFieldDoubleServant._this(createALocalField2())
-ior3=orb.object_to_string(f2)
-print "Field on node ",ior3
-
-fs3=MEDCouplingFieldOverTimeServant._this(createALocalMultiField3())
-fs3.Register()
-ior4=orb.object_to_string(fs3)
-print "Fields over time ",ior4
-
-m2=MEDCouplingCMeshServant._this(createALocalCMesh4())
-ior5=orb.object_to_string(m2)
-print "CMesh 2 : ",ior5
-
-f5=MEDCouplingFieldDoubleServant._this(createALocalField5())
-ior6=orb.object_to_string(f5)
-print "Field on cell CMesh ",ior6
-
-script="""
-src1 = ParaMEDCorbaPluginSource()
-src1.IORCorba = '%s'
-asc=GetAnimationScene()
-rw=GetRenderView()
-dr=Show()\ndr.Visibility = 1
-"""
-
-content=script%(ior4)
-paraviz.ExecuteScript(content)
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
-#
-# 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 script illustrates the basic usage of MEDCoupling and MEDLoader
-# to generate test data files for various cases of med operation. It
-# illustrates also the usage of numpy to specify the values of the
-# fields when defined on a cartesian mesh (grid).
-# (gboulant - 11/07/2011)
-
-import MEDCoupling as MC
-import MEDLoader as ML
-
-import numpy
-
-#
-# ===============================================================
-# Helper functions to create meshes
-# ===============================================================
-#
-
-def createGridMesh(meshName, nbCellsX, nbCellsY):
- """
- The mesh is created using MEDCoupling. The code below creates a
- cartesian mesh as a grid with nbCellsX segments in the X direction
- and nbCellsY in the Y direction (nb. cells = nbCellsX * nbCellsY)
- """
- print "Creating grid mesh of size %sx%s"%(nbCellsX, nbCellsY)
- cmesh=MC.MEDCouplingCMesh.New();
-
- # Create X coordinates
- nbNodesX = nbCellsX+1
- stepX = 0.1
- arrX = [float(i * stepX) for i in range(nbNodesX)]
- coordsX=MC.DataArrayDouble.New()
- coordsX.setValues(arrX,nbNodesX,1)
-
- # Create Y coordinates
- nbNodesY = nbCellsY+1
- stepY = 0.1
- arrY=[float(i * stepY) for i in range(nbNodesY)]
- coordsY=MC.DataArrayDouble.New()
- coordsY.setValues(arrY,nbNodesY,1)
-
- # Create the grid
- cmesh.setCoords(coordsX,coordsY)
- cmesh.setName(meshName)
-
- return cmesh
-
-def unstructuredMesh(cartesianMesh):
- """
- Convert the cartesian mesh in unstructured mesh for the need of
- write function of MEDLoader
- """
- print "Creating unstructured mesh from %s"%(cartesianMesh.getName())
- umesh=cartesianMesh.buildUnstructured();
- umesh.setName(cartesianMesh.getName())
- return umesh
-
-#
-# ===============================================================
-# Creating a cartesian mesh
-# ===============================================================
-#
-# The size is the number of discrete values in a direction, and then
-# corresponds to the number of cells in that direction.
-size=80
-#size=512
-
-
-# >>>
-# WARNING: remember the problem of tics and spaces. The parameter
-# "size" is considered to be a number of cells (intervals). The number
-# of nodes in that direction is size+1.
-# <<<
-
-nbCellsX = size
-nbNodesX = nbCellsX+1
-
-nbCellsY = size # The size could be different than the X size
-nbNodesY = nbCellsY+1
-
-meshName = "Grid_%sx%s"%(nbCellsX, nbCellsY)
-cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
-umesh = unstructuredMesh(cmesh)
-medFileName="gendata.med"
-ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
-
-#
-# ===============================================================
-# Creating a scalar field, working with numpy
-# ===============================================================
-#
-
-def createField(fieldName,gridMesh,
- numpy2Darray,typeOfField=MC.ON_CELLS,
- iteration=0):
- """
- The number of values for the fields is deduced from the sizes of
- the numpy array. If typeOfField is ON_CELLS, the size is considered
- as the number of cells, otherwise it's considered as the number of
- nodes. In any case, it must be consistent with the dimensions of
- the numpy 2D array.
- """
- print "Creating field %s with iteration=%s"%(fieldName,iteration)
-
- # The sizes are deduced from the numpy array. Note that if
- # typeOfField is ON_CELLS, then the size should correspond to the
- # number of cells, while if typeOfField is ON_NODES, then the size
- # should correspond to the number of nodes
- [sizeX,sizeY] = numpy2Darray.shape
-
- # We first have to reshape the 2D numpy array in a 1D vector that
- # concatenate all the rows
- data=numpy2Darray.reshape(1,sizeX*sizeY)[0]
- # Then, we can create a simple list as required by the MEDCoupling
- # DataArrayDouble. Note also the usage of float type because
- # MEDCoupling works only with real numbers
- listdata=list(data)
-
- # Create the field using the list obtained from the numpy array
- field = MC.MEDCouplingFieldDouble.New(typeOfField,MC.ONE_TIME);
- field.setName(fieldName);
- field.setMesh(gridMesh);
- field.setIteration(iteration)
- field.setTimeValue(float(iteration))
-
- nbComponents=1 # Only one single component for a scalar field
- nbCells=sizeX*sizeY
- dataArray=MC.DataArrayDouble.New();
- dataArray.setValues(listdata,nbCells,nbComponents)
- field.setArray(dataArray);
-
- return field
-
-def writeField(fieldName, numpy2Darray,
- typeOfField=MC.ON_CELLS,
- iteration=0):
-
- field = createField(fieldName, umesh, numpy2Darray,
- typeOfField, iteration)
- createFromScratch=False
- ML.MEDLoader.WriteField(medFileName,field,createFromScratch)
-
-
-def createTestNumpy2DArray(sizeX, sizeY):
- """
- This illustrates how to create a numpy 2D array for input of the
- createField function.
- """
- rows=[]
- for irow in range(sizeY):
- row = numpy.arange(start = irow*sizeY,
- stop = irow*sizeY+sizeX,
- step = 1,
- dtype='float64')
- rows.append(row)
-
- numpy2Darray = numpy.vstack(rows)
- return numpy2Darray
-
-def createTestFieldOnCells():
- # Test field on cells
- numpy2Darray = createTestNumpy2DArray(sizeX=nbCellsX, sizeY=nbCellsY)
- writeField("FieldOnCells", numpy2Darray,
- typeOfField=MC.ON_CELLS)
-
-def createTestFieldOnNodes():
- # Test field on nodes
- numpy2Darray = createTestNumpy2DArray(sizeX=nbNodesX, sizeY=nbNodesY)
- writeField("FieldOnNodes", numpy2Darray,
- typeOfField=MC.ON_NODES)
-
-
-#
-# =================================================
-# Creating a time series
-# =================================================
-#
-
-# -------------------------------------------------
-# Simple demo of the principles
-# -------------------------------------------------
-
-# In these functions, (x,y) are the indexes of the element in the
-# numpy array. Note that theses indexes maps the indexes of the
-# cartesian mesh.
-
-# A function can be a simple python function ...
-def f1(x,y):
- z = 10*x
- print "x=%s\ny=%s\nz=%s"%(x,y,z)
- return z
-
-# ... but also a more sophisticated callable object, for example to
-# defines some parameters
-class Function(object):
- def __init__(self, sizeX, sizeY, param):
- self.sizeX = sizeX
- self.sizeY = sizeY
- self.param = param
-
- def function(self, x,y):
- z = self.param*x
- print "x=%s\ny=%s\nz=%s"%(x,y,z)
- return z
-
- def __call__(self, x,y):
- return self.function(x,y)
-
-fOnNodes=Function(sizeX=nbNodesX, sizeY=nbNodesY, param=10)
-fOnCells=Function(sizeX=nbCellsX, sizeY=nbCellsY, param=3)
-
-def createFunctionField_01():
- sizeX=nbNodesX
- sizeY=nbNodesY
- typeOfField=MC.ON_NODES
- f=fOnNodes
- numpy2Darray = numpy.fromfunction(f,(sizeX,sizeY),dtype='float64')
- writeField("FieldOnNodesUsingFunc", numpy2Darray,typeOfField)
-
- f=fOnCells
- sizeX=nbCellsX
- sizeY=nbCellsY
- typeOfField=MC.ON_CELLS
- numpy2Darray = numpy.fromfunction(f,(sizeX,sizeY),dtype='float64')
- writeField("FieldOnCellsUsingFunc", numpy2Darray,typeOfField)
-
-
-# -------------------------------------------------
-# Using the pyfunctions package to generate data
-# -------------------------------------------------
-
-def createNumpy2DArrayWithFunc(sizeX, sizeY, function):
- """
- @function : a callable than can be used as a function of X.
- Typically function should be an instance of Function object
- defined in pyfunctions.functions.
- """
-
- # X coordinates should range between 0 and 1 to use the normalized
- # functions. We have to generate sizeX points:
- step=1./sizeX
- arrX=[float(i * step) for i in range(sizeX)]
-
- values = function(arrX)
-
- # Then on can create the base row for the numpy 2D array
- rowX = numpy.array(values)
- # and replicate this row along the Y axis
- rows=[]
- for irow in range(sizeY):
- rows.append(rowX)
-
- numpy2Darray = numpy.vstack(rows)
- return numpy2Darray
-
-from pyfunctions.functions import FuncStiffPulse
-def createNumpy2DArrayWithFuncStiff(sizeX, sizeY):
- f=FuncStiffPulse(xlimit=0.3,stiffness=30,nbPeriods=10)
- return createNumpy2DArrayWithFunc(sizeX, sizeY, f)
-
-def createFunctionField_02():
- sizeX=nbCellsX
- sizeY=nbCellsY
- typeOfField=MC.ON_CELLS
- numpy2Darray = createNumpy2DArrayWithFuncStiff(sizeX,sizeY)
- writeField("FieldOnCellsUsingFunc02", numpy2Darray,typeOfField)
-
- sizeX=nbNodesX
- sizeY=nbNodesY
- typeOfField=MC.ON_NODES
- numpy2Darray = createNumpy2DArrayWithFuncStiff(sizeX,sizeY)
- writeField("FieldOnNodesUsingFunc02", numpy2Darray,typeOfField)
-
-#
-# =================================================
-# Functions to create custom fields for MEDCalc tests
-# =================================================
-#
-def createTimeSeries():
- """
- Create a single med file with a single mesh and a field defined on
- several time steps (time series).
- """
- meshName = "Grid_%sx%s"%(nbCellsX, nbCellsY)
- cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
- umesh = unstructuredMesh(cmesh)
- medFileName="timeseries.med"
- ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
-
- sizeX=nbNodesX
- sizeY=nbNodesY
- typeOfField=MC.ON_NODES
-
- nbIterations=10
- pulseStiffNess = 20
- pulseNbPeriods = 10
- for iteration in range(nbIterations):
- xlimit = float(iteration)/float(nbIterations)
- f=FuncStiffPulse(xlimit,stiffness=pulseStiffNess,nbPeriods=pulseNbPeriods)
- numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
- field = createField("Pulse",umesh,numpy2Darray,typeOfField,iteration)
- ML.MEDLoader.WriteField(medFileName,field,False)
-
-from pyfunctions.functions import FuncStiffExp
-def createParametrics():
- """
- Create 2 med files containing each a mesh (identical) and a field
- defined on this mesh in each file.
- """
- meshName = "Grid_%sx%s_01"%(nbCellsX, nbCellsY)
- cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
- umesh = unstructuredMesh(cmesh)
-
- sizeX=nbNodesX
- sizeY=nbNodesY
- typeOfField=MC.ON_NODES
-
- medFileName="parametric_01.med"
- ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
- f=FuncStiffExp(xlimit=0.3,stiffness=30)
- numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
- fieldName = "StiffExp_01"
- field = createField(fieldName,umesh, numpy2Darray,typeOfField)
- ML.MEDLoader.WriteField(medFileName,field,False)
-
- medFileName="parametric_02.med"
- umesh.setName("Grid_%sx%s_02"%(nbCellsX, nbCellsY))
- ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
- f=FuncStiffExp(xlimit=0.4,stiffness=30)
- numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
- fieldName = "StiffExp_02"
- field = createField(fieldName,umesh, numpy2Darray,typeOfField)
- ML.MEDLoader.WriteField(medFileName,field,False)
-
-def createParametrics_demo():
- """
- Create 2 med files containing each a mesh (identical) and a field
- defined on this mesh in each file.
- """
- meshName = "mesh1"
- cmesh = createGridMesh(meshName, nbCellsX, nbCellsY)
- umesh = unstructuredMesh(cmesh)
-
- sizeX=nbNodesX
- sizeY=nbNodesY
- typeOfField=MC.ON_NODES
-
- listIteration = [0,1,2,3,4]
-
- medFileName="parametric_01.med"
- ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
- fieldName = "field1"
- for iteration in listIteration:
- #f=FuncStiffPulse(xlimit=0.3+0.1*iteration,stiffness=10,nbPeriods=5)
- f=FuncStiffExp(xlimit=0.3+0.1*iteration,stiffness=10)
- numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
- field = createField(fieldName,umesh, numpy2Darray,typeOfField,iteration)
- ML.MEDLoader.WriteField(medFileName,field,False)
-
- medFileName="parametric_02.med"
- umesh.setName("mesh2")
- ML.MEDLoader.WriteUMesh(medFileName,umesh,True);
- fieldName = "field2"
- for iteration in listIteration:
- #f=FuncStiffPulse(xlimit=0.3+0.1*iteration,stiffness=10,nbPeriods=6)
- f=FuncStiffExp(xlimit=0.3+0.1*iteration,stiffness=15)
- numpy2Darray = createNumpy2DArrayWithFunc(sizeX,sizeY,f)
- field = createField(fieldName,umesh, numpy2Darray,typeOfField,iteration)
- ML.MEDLoader.WriteField(medFileName,field,False)
-
-
-
-#
-# =================================================
-# Main runner
-# =================================================
-#
-if __name__ == "__main__":
- #createTestFieldOnCells()
- #createTestFieldOnNodes()
- #createFunctionField_01()
- #createFunctionField_02()
- #createTimeSeries()
- createParametrics_demo()
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
-#
-# 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 use case illustrates the usage of PIL (Python Imaging Library)
-# combined with the MEDCoupling and MEDLoader modules to save an image
-# as a field in a med file.
-# (gboulant - 27/06/2011)
-
-import MEDCoupling as MC
-import MEDLoader as ML
-
-#
-# ===============================================================
-# We first get data from the test image to render as a field
-# ===============================================================
-#
-import scipy, numpy
-# The data field array may be created from the lena image
-#image = scipy.lena()
-# We could either read a real image using the PIL python package.
-from scipy.misc import pilutil
-image = pilutil.imread("images/avatar.png",True)
-
-
-#from PIL import Image
-#im=Image.open("images/irm.png")
-#im=Image.open("images/lena.png")
-#image=pilutil.fromimage(im,True)
-#image=numpy.asarray(im)
-#print image
-
-dim = len(image.shape)
-print "Image space dimension = %d"%dim
-sizeX = image.shape[1]
-sizeY = image.shape[0]
-
-# The sizes defined the number of pixel in a direction, then the
-# number of cells to create in the mesh in that direction.
-
-# We must reshape the matrix of pixel in a 1D vector that concatenates
-# all the rows, and then convert this vector in a simple list of
-# double as required by the MEDCoupling field specification.
-import numpy
-imageDataNArray = image.reshape(1,sizeX*sizeY)[0]
-print imageDataNArray
-
-imageDataNArrayDouble = numpy.array(imageDataNArray, dtype='float64')
-imageDataArrayDouble = list(imageDataNArrayDouble)
-
-#
-# ===============================================================
-# Creating a cartesian mesh with a grid of the size of the image
-# ===============================================================
-#
-
-# >>>
-# WARNING: remember the problem of tics and spaces. The data values
-# are considered as values defined on cells. With size values in a
-# direction, we have to create size+1 mesh nodes in that direction.
-# <<<
-
-# The mesh is created using MEDCoupling
-cmesh=MC.MEDCouplingCMesh.New();
-cmesh.setName("imagemesh")
-
-# We use an arbitrary step between cells (the value does not matter)
-stepX = 0.1
-nbNodesX = sizeX+1
-arrX = [float(i * stepX) for i in range(nbNodesX)]
-coordsX=MC.DataArrayDouble.New()
-coordsX.setValues(arrX,nbNodesX,1)
-
-stepY = 0.1
-nbNodesY = sizeY+1
-arrY=[float(i * stepY) for i in range(nbNodesY)]
-coordsY=MC.DataArrayDouble.New()
-coordsY.setValues(arrY,nbNodesY,1)
-
-cmesh.setCoords(coordsX,coordsY)
-print "Imagem mesh dimension: %d"%cmesh.getSpaceDimension()
-
-# WARN: In the current state of development of MEDLoader, only
-# unstructured meshes are supported for writting function in med
-# files. We just have to convert the cartesian mesh in an unstructured
-# mesh before creating the field.
-umesh=cmesh.buildUnstructured();
-umesh.setName("imagemesh")
-
-#
-# ===============================================================
-# Creating a scalar field on the mesh using image data
-# ===============================================================
-#
-
-# Create the field using MEDCoupling
-field = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS,MC.ONE_TIME);
-field.setName("imagefield");
-field.setMesh(umesh);
-# OPTIONAL: We set an arbitrary time step for test purpose
-field.setIteration(3);
-field.setOrder(0)
-
-dataArray=MC.DataArrayDouble.New();
-nbCells = sizeX*sizeY
-nbComponents=1 # For a scalar field
-
-# This example shows haw to initialize all cell with the same
-# value. Just create an array of size nbCells
-# dataArray.setValues(nbCells*[3.4],nbCells,nbComponents)
-
-dataArray.setValues(imageDataArrayDouble,nbCells,nbComponents)
-field.setArray(dataArray);
-
-# The MEDLoader can be used to save all the stuff in a med file. You
-# just have to specify the field and the MEDLoader will save the
-# underlying mesh.
-createFromScratch=True
-ML.MEDLoader.WriteField("fieldimage.med",field,createFromScratch)
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
-#
-# 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 simple use case illustrates the basic usage of MEDCoupling and
-# MEDLoader to create a cartesian mesh, define a field on this mesh,
-# and save all the stuff in a med file.
-# (gboulant - 27/06/2011)
-
-import MEDCoupling as MC
-import MEDLoader as ML
-
-#
-# ===============================================================
-# Creating a 512x512 cartesian mesh
-# ===============================================================
-#
-# The size is the number of discrete values in a direction, and then
-# corresponds to the number of cells in that direction.
-size=8
-#size=512
-
-# The mesh is created using MEDCoupling. The code below creates a
-# cartesian mesh as a sizexsize grid
-
-# >>>
-# WARNING: remember the problem of tics and spaces. The data values
-# are considered as values defined on cells. With size values in a
-# direction, we have to create size+1 mesh nodes in that direction.
-# <<<
-
-cmesh=MC.MEDCouplingCMesh.New();
-cmesh.setName("512x512 cartesian mesh")
-
-sizeX = size
-nbNodesX = sizeX+1
-stepX = 0.1
-arrX = [float(i * stepX) for i in range(nbNodesX)]
-print "Size of arrX = %d"%len(arrX)
-
-coordsX=MC.DataArrayDouble.New()
-coordsX.setValues(arrX,nbNodesX,1)
-
-sizeY = size
-nbNodesY = sizeY+1
-stepY = 0.1
-arrY=[float(i * stepY) for i in range(nbNodesY)]
-coordsY=MC.DataArrayDouble.New()
-coordsY.setValues(arrY,sizeY,1)
-
-cmesh.setCoords(coordsX,coordsY)
-print cmesh.getSpaceDimension()
-#print cmesh
-
-# WARN: In the current state of development of MEDLoader, only
-# unstructured meshes are supported for writting function in med
-# files. We just have to convert the cartesian mesh in an unstructured
-# mesh before creating the field.
-umesh=cmesh.buildUnstructured();
-umesh.setName("512x512 unstructured mesh")
-
-# This can be used to save the mesh only (can be visualize using
-# SMESH).
-meshFileName = "umesh.med"
-ML.MEDLoader.WriteUMesh(meshFileName,umesh,True);
-
-# Alternatively, you can use a MEDFileMesh to write the mesh in a
-# file.
-medFileCMesh = ML.MEDFileCMesh.New()
-medFileCMesh.setMesh(cmesh)
-medFileCMesh.setName(cmesh.getName())
-meshFileName = "cmesh.med"
-mode = 2
-medFileCMesh.write(meshFileName,mode)
-
-#
-# ===============================================================
-# Creating a scalar field on the 512x512 mesh
-# ===============================================================
-#
-# For the simple test, we create a field that varies in space as
-# field(x,y)=x+y where x and y are coordinates on the mesh
-
-# --- Field on cells
-
-# Create the field
-field = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS);
-field.setName("AnalyticField_onCells");
-field.setMesh(umesh);
-
-nbComponents=1 # Only one single component for a scalar field
-fillFunction="x+y"
-field.fillFromAnalytic(nbComponents,fillFunction);
-
-# The MEDLoader can be used to save all the stuff in a med file. You
-# just have to specify the field and the MEDLoader will save the
-# underlying mesh.
-createFromScratch=True
-ML.MEDLoader.WriteField("fieldtest.med",field,createFromScratch)
-
-# --- Field on nodes
-
-field = MC.MEDCouplingFieldDouble.New(MC.ON_NODES);
-field.setName("AnalyticField_onNodes");
-field.setMesh(umesh);
-field.fillFromAnalytic(nbComponents,fillFunction);
-createFromScratch=False
-ML.MEDLoader.WriteField("fieldtest.med",field,createFromScratch)
-
-
-#
-# ===============================================================
-# Creating a scalar field, working with numpy
-# ===============================================================
-#
-
-# We start by creating a numpy matrix
-import numpy
-rows=[]
-for irow in range(sizeY):
- row = numpy.arange(irow*sizeY,irow*sizeY+sizeX,dtype='float64')
- rows.append(row)
-
-marray = numpy.vstack(rows)
-
-# Then, we can reshape the matrix in a 1D vector that concatenate all
-# the rows
-data=marray.reshape(1,sizeX*sizeY)[0]
-# Finally, we can create a simple list as required by the MEDCoupling
-# DataArrayDouble. Note also the usage of float type because
-# MEDCoupling works only with real numbers
-listdata=list(data)
-
-# Create the field using the list obtained from the numpy array
-fieldWithNumpy = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS);
-fieldWithNumpy.setName("Numpy Field");
-fieldWithNumpy.setMesh(umesh);
-
-nbCells=sizeX*sizeY
-dataArray=MC.DataArrayDouble.New();
-dataArray.setValues(listdata,nbCells,nbComponents)
-fieldWithNumpy.setArray(dataArray);
-
-createFromScratch=False
-ML.MEDLoader.WriteField("fieldtest.med",fieldWithNumpy,createFromScratch)
-
-
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2011-2015 CEA/DEN, EDF R&D
-#
-# 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 script illustrates how to create a matrix of pixels from data
-# read in an image file. At the end, the cells of the matrix
-# corresponds to the cells of a cartesian mesh that could hold a field
-# whose value is the value of the pixel.
-# (gboulant - 13/11/2011)
-
-from PIL import Image
-from PIL import ImageOps
-import numpy
-
-def image2matrix():
- # Load the image
- #img=Image.open("images/avatar.png")
- img=Image.open("images/tests.pgm")
-
- # Get a grayscale version
- imgbw=ImageOps.grayscale(img)
-
- # Save the image (optionnal)
- imgbw.save(fp="testsbw.pgm")
-
- # Get the data
- imgdata=imgbw.getdata()
- width,height=imgbw.size
- print list(imgdata)
- print width,height
-
- # Convert the data in a matrix using numpy
- tab=numpy.array(imgdata,dtype='float64')
- print list(tab)
- print tab
- nbRows=height
- nbCols=width
- matrix=numpy.reshape(tab,(nbRows,nbCols))
- # Note that in the reshape function, the height (sizeY) of the image
- # is specified first, because it corresponds to the number of rows.
- print matrix
- print list(matrix)
-
-import MEDCoupling as MC
-import MEDLoader as ML
-def createMesh(meshname, sizeX, sizeY):
- """
- Creating a cartesian mesh with a grid of the size of the image.
- sizeX and sizeY should be respectively the width and heigth of the
- image.
- """
- # >>>
- # WARNING: remember the problem of tics and spaces. The data values
- # are considered as values defined on cells. With size values in a
- # direction, we have to create size+1 mesh nodes in that direction.
- # <<<
-
- # The mesh is created using MEDCoupling
- cmesh=MC.MEDCouplingCMesh.New();
- cmesh.setName(meshname)
-
- # We use an arbitrary step between cells (the value does not matter)
- stepX = 0.1
- nbNodesX = sizeX+1
- arrX = [float(i * stepX) for i in range(nbNodesX)]
- coordsX=MC.DataArrayDouble.New()
- coordsX.setValues(arrX,nbNodesX,1)
-
- # For the Y dimension, we have to reverse the coordinates (the
- # first pixel is at y=height and not at y=0).
- stepY = 0.1
- nbNodesY = sizeY+1
- lengthY = sizeY*stepY
- arrY=[float(lengthY - i * stepY) for i in range(nbNodesY)]
- coordsY=MC.DataArrayDouble.New()
- coordsY.setValues(arrY,nbNodesY,1)
-
- cmesh.setCoords(coordsX,coordsY)
- print "Imagem mesh dimension: %d"%cmesh.getSpaceDimension()
-
- # WARN: In the current state of development of MEDLoader, only
- # unstructured meshes are supported for writting function in med
- # files. We just have to convert the cartesian mesh in an unstructured
- # mesh before creating the field.
- umesh=cmesh.buildUnstructured();
- umesh.setName("imagemesh")
-
- return umesh
-
-def createField(fieldname, mesh, image):
- """
- Creating a scalar field on the mesh using image data
- """
- # Create the field using MEDCoupling
- field = MC.MEDCouplingFieldDouble.New(MC.ON_CELLS,MC.ONE_TIME);
- field.setName(fieldname);
- field.setMesh(mesh);
- # OPTIONAL: We set an arbitrary time step for test purpose
- field.setIteration(0);
- field.setOrder(0)
-
- imagedata=list(image.getdata())
- width,height=image.size
- nbCells = width*height
- dataArray=MC.DataArrayDouble.New();
- nbComponents=1 # For a scalar field
-
- dataArray.setValues(imagedata,nbCells,nbComponents)
- field.setArray(dataArray);
-
- return field
-
-def image2med():
- img=Image.open("images/avatar.png")
- #img=Image.open("images/irm.png")
- imgbw=ImageOps.grayscale(img)
- # We keep only the grayscale. Maybe, it could be usefull to get
- # the RGB scales each on one component of the field.
-
- width,height=imgbw.size
- mesh=createMesh("mesh",width,height)
- field=createField("field",mesh,imgbw)
-
- createFromScratch=True
- ML.MEDLoader.WriteField("image.med",field,createFromScratch)
-
-
-# ===================================================================
-
-if __name__ == "__main__":
- #image2matrix()
- image2med()
+++ /dev/null
-all:
- python tutorial.py
- python explore.py
- python manage.py
- python testamel.py
- python cmesh
-
-clean:
- rm -f *~ *.pyc output.med
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import MEDLoader
-
-import os
-filename = "madnex_field.med"
-filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
-
-meshName="my_field_RG"
-fieldName="my_field"
-itNumber=0
-itOrder=0
-
-# Load as an unstructured mesh
-meshDimRelToMax = 0 # 0 = no restriction
-umesh = MEDLoader.ReadUMeshFromFile(filepath,meshName,meshDimRelToMax)
-print "umesh is structured: %s"%umesh.isStructured()
-
-# Load as a structured mesh explicitly
-# _T2A
-from MEDLoader import MEDFileCMesh
-medfile = MEDFileCMesh.New(filepath,meshName)
-cmesh = medfile.getMesh()
-# Note that the getMesh method is a short way to the method:
-#cmesh = medfile.getGenMeshAtLevel(0,False)
-print "cmesh is structured: %s"%cmesh.isStructured()
-# _T2B
-
-# Load and let MEDLoader decide what is nature of the mesh
-# _T1A
-from MEDLoader import MEDFileMesh
-medfile = MEDFileMesh.New(filepath,meshName)
-print medfile.advancedRepr()
-meshDimRelToMax = 0 # 0 = no restriction
-mesh = medfile.getGenMeshAtLevel(meshDimRelToMax)
-print "mesh is structured: %s"%mesh.isStructured()
-# _T1B
-
-
-# Write the mesh to another file
-# _T3A
-outputfilepath="output.med"
-mode=0
-medfile.write(outputfilepath,mode)
-# _T3B
-
-# test to reload the mesh
-medfile = MEDFileCMesh.New(outputfilepath,meshName)
-cmesh = medfile.getMesh()
-print "cmesh is structured: %s"%cmesh.isStructured()
-
-# Q: Is it possible to know if a mesh is structured or unstructured
-# without loading the mesh.
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import MEDLoader
-
-import os
-#filename = "madnex_field.med"
-filename = "timeseries.med"
-filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
-
-# Read the source meshes
-meshNames = MEDLoader.GetMeshNames(filepath)
-
-# Set to True if the meshes and fields data must be loaded. Otherwise,
-# only theire descriptions will be loaded.
-READ_PHYSICAL_DATA=False
-
-for meshName in meshNames:
-
- print "%s"%meshName
-
- # At this step, one can load the mesh of name meshName (but it is
- # not an obligation to continue to explore the metadata)
- meshDimRelToMax = 0 # 0 = no restriction
- if READ_PHYSICAL_DATA:
- mesh = MEDLoader.ReadUMeshFromFile(filepath,meshName,meshDimRelToMax)
- # Note that the read function required the parameter
- # meshDimRelToMax. This parameter discreminates the meshdim you
- # are interested to relatively to the maximal dimension of cells
- # contained in the mesh in file (then its value could be 0, -1, -2
- # or -3 depending on the max dimension of the mesh. 0 means "no
- # restriction".
-
- # Read the names of the fields that rely on this mesh
- fieldNames = MEDLoader.GetAllFieldNamesOnMesh(filepath,meshName)
-
- for fieldName in fieldNames:
-
- print " %s"%fieldName
-
- # A field name could identify several MEDCoupling fields, that
- # differ by their spatial discretization on the mesh (values on
- # cells, values on nodes, ...). This spatial discretization is
- # specified by the TypeOfField that is an integer value in this
- # list:
- # 0 = ON_CELLS
- # 1 = ON_NODES
- # 2 = ON_GAUSS_PT
- # 3 = ON_GAUSS_NE
- #
- # As a consequence, before loading values of a field, we have
- # to determine the types of spatial discretization defined for
- # this field and to chooose one.
-
- listOfTypes = MEDLoader.GetTypesOfField(filepath,meshName,fieldName)
- for typeOfDiscretization in listOfTypes:
- print " %s"%typeOfDiscretization
-
- # Then, we can get the iterations associated to this field on
- # this type of spatial discretization:
- fieldIterations = MEDLoader.GetFieldIterations(typeOfDiscretization,
- filepath,
- meshName,
- fieldName)
-
- # Then, we can access to the physical data for each
- # iteration of this field
- for fieldIteration in fieldIterations:
- itNumber = fieldIteration[0]
- itOrder = fieldIteration[1]
- print " (%s,%s)"%(itNumber,itOrder)
-
- if READ_PHYSICAL_DATA:
- medCouplingField = MEDLoader.ReadField(typeOfDiscretization,
- filepath,
- meshName,
- meshDimRelToMax,
- fieldName,
- itNumber,
- itOrder)
- print medCouplingField
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-# _T1A
-import collections
-def tree():
- return collections.defaultdict(tree)
-
-fieldTree = tree()
-meshDict = {}
-# _T1B
-
-import os
-filename = "timeseries.med"
-filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
-
-# _T2A
-from MEDLoader import MEDLoader
-meshNames = MEDLoader.GetMeshNames(filepath)
-
-meshDimRelToMax = 0 # 0 = no restriction
-
-for meshName in meshNames:
- mesh = MEDLoader.ReadUMeshFromFile(filepath,meshName,meshDimRelToMax)
- meshDict[meshName] = mesh
-
- fieldNames = MEDLoader.GetAllFieldNamesOnMesh(filepath,meshName)
- for fieldName in fieldNames:
- listOfTypes = MEDLoader.GetTypesOfField(filepath,meshName,fieldName)
- for typeOfDiscretization in listOfTypes:
- fieldIterations = MEDLoader.GetFieldIterations(typeOfDiscretization,
- filepath,
- meshName,
- fieldName)
- for fieldIteration in fieldIterations:
- itNumber = fieldIteration[0]
- itOrder = fieldIteration[1]
-
- field = MEDLoader.ReadField(typeOfDiscretization,
- filepath,
- meshName,
- meshDimRelToMax,
- fieldName,
- itNumber,
- itOrder)
-
- fieldTree\
- [meshName]\
- [fieldName]\
- [typeOfDiscretization]\
- [itNumber][itOrder] = field
-# _T2B
-
-# Q: use a list of structures whose an attribute could be a
-# MEDCoupling field? Or a tree that you cross using attribute and
-# whose leaves are the MEDCoupling fields?
-# R: I think that the default structure should be a simple list that
-# store objects whith properties that corresponds to the metadata (and
-# if loaded the MEDCouplingField or Mesh). Then for specific request,
-# a BTree could be create to organize the search (for example if we
-# request all the fields for a given iteration step, then we should
-# use the iteration step as a first classifaction switch of the tree
-
-print fieldTree.keys()
-
-# _T3A
-for meshName in fieldTree.keys():
- print "%s"%meshName
- for fieldName in fieldTree[meshName].keys():
- print " %s"%fieldName
- for fieldType in fieldTree[meshName][fieldName].keys():
- print " %s"%fieldType
- for itNumber in fieldTree[meshName][fieldName][fieldType].keys():
- for itOrder in fieldTree[meshName][fieldName][fieldType][itNumber].keys():
- print " (%s,%s)"%(itNumber,itOrder)
- print fieldTree[meshName][fieldName][fieldType][itNumber][itOrder]
-# _T3B
+++ /dev/null
-# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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 illustrates the use of getValueOn in the case of hexahedron
-# meshes (for which a temporary limitation implies the usage of the
-# method simplexize that split the hexahedron into simplex,
-# i.e. triangles and tetrahedrons).
-#
-# (gboulant, nov. 2012)
-from MEDLoader import *
-from MEDCoupling import *
-
-import os
-filename = "timeseries.med"
-filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
-
-rmedfilename = filepath
-
-# Load the meshe data
-meshname = "Grid_80x80"
-fieldname = "Pulse"
-dimrestriction = 0 # no restriction
-msource = MEDLoader.ReadUMeshFromFile(rmedfilename,meshname,dimrestriction)
-
-# WARN: In the current version of MEDCoupling, the getValueOn works
-# only with simplex cells (triangles, tetrahedron). This is not a
-# technical problem, but a question of specification of the
-# interpolation to be performed in the case of other cells, in
-# particular in the case of hexahedron meshes.
-#
-# A temporary solution (with good numerical results) is to split
-# hexahedrons into simplex (before the association of the mesh to the
-# field) using the method simplexize.
-policy = 0
-msource.simplexize(policy)
-
-# Load the field data at iteration 0
-iteration = 0
-order = -1
-fieldOnNodes = MEDLoader.ReadField(ON_NODES,rmedfilename,
- meshname,dimrestriction,
- fieldname,iteration,order)
-
-
-fieldOnNodes.setMesh(msource)
-
-# Get the value of field at coordinates x,y
-x=0.5
-y=0.5
-fieldValue = fieldOnNodes.getValueOn([x,y])
-print fieldValue
+++ /dev/null
-#!/usr/bin/env python
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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 script illustrates the basic features of MEDLoader
-# (gboulant, 17 nov 2012)
-import os
-filename = "timeseries.med"
-filepath = os.path.join(os.path.abspath(os.path.dirname(__file__)),filename)
-
-# _T1A
-from MEDLoader import MEDLoader
-meshNames = MEDLoader.GetMeshNames(filepath)
-# _T1B
-meshName=meshNames[0]
-# _T2A
-fieldNames = MEDLoader.GetAllFieldNamesOnMesh(filepath,meshName)
-# _T2B
-fieldName=fieldNames[0]
-# _T3A
-listOfTypes = MEDLoader.GetTypesOfField(filepath,meshName,fieldName)
-# _T3B
-typeOfDiscretization=listOfTypes[0]
-# _T4A
-fieldIterations = MEDLoader.GetFieldIterations(typeOfDiscretization,
- filepath,
- meshName,
- fieldName)
-# _T4B
-
-iteration = fieldIterations[0]
-iterationNumber = iteration[0]
-iterationOrder = iteration[1]
-
-dimrestriction = 0
-# _T5A
-mesh = MEDLoader.ReadUMeshFromFile(filepath, meshName, dimrestriction)
-# _T5B
-# _T6A
-field = MEDLoader.ReadField(typeOfDiscretization,
- filepath, meshName, dimrestriction,
- fieldName, iterationNumber, iterationOrder)
-# _T6B
+++ /dev/null
-<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian">
- <UnstructuredGrid>
- <Piece NumberOfPoints="2325" NumberOfCells="9330">
- <PointData>
-
- </PointData>
- <CellData>
- <DataArray type="Float32" Name="PID" NumberOfComponents="1" format="ascii" RangeMin="0" RangeMax="2">
- 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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10 10 10 10 10 10
- </DataArray>
- </Cells>
- </Piece>
- </UnstructuredGrid>
-</VTKFile>
+++ /dev/null
-# You first have to set the shell environement for medcoupling
-# (see medcoupling/env.sh)
-
-all:
- python simpledemo.py
-
-clean:
- rm merge.med *~
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import *
-
-it,dt = (-1,-1)
-mesh = MEDLoader.ReadUMeshFromFile("field1.med","DomainMesh_1",0)
-f1 = MEDLoader.ReadField(ON_CELLS,"field1.med","DomainMesh_1",0,"field1",it,dt)
-f1.setMesh(mesh)
-
-mesh = MEDLoader.ReadUMeshFromFile("field2.med","DomainMesh_2",0)
-f2 = MEDLoader.ReadField(ON_CELLS,"field2.med","DomainMesh_2",0,"field2",it,dt)
-f2.setMesh(mesh)
-
-mesh = MEDLoader.ReadUMeshFromFile("field3.med","DomainMesh_3",0)
-f3 = MEDLoader.ReadField(ON_CELLS,"field3.med","DomainMesh_3",0,"field3",it,dt)
-f3.setMesh(mesh)
-
-#mesh = MEDLoader.ReadUMeshFromFile("field4.med","DomainMesh_4",0)
-#f4 = MEDLoader.ReadField(ON_CELLS,"field4.med","DomainMesh_4",0,"field4",it,dt)
-#f4.setMesh(mesh)
-
-fmerge=MEDCouplingFieldDouble.MergeFields([f1,f2,f3])
-fmerge.setName("merge")
-
-MEDLoader.WriteField("merge.med",fmerge,True)
-
+++ /dev/null
-# You first have to set the shell environement for medcoupling
-# (see medcoupling/env.sh)
-
-all:
- python splitdemo.py
-
-clean:
- rm out*.vtu DomainMesh.vtu Domain.vtu *~
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import *
-
-fns=['DomainMesh_1.med', 'DomainMesh_2.med','DomainMesh_3.med', 'DomainMesh_4.med']
-outs=["out1.vtu","out2.vtu","out3.vtu","out4.vtu"]
-trs=[(-0.714,-0.714,0.),(0.,0.,0.),(-0.577,-0.577,-0.577),(-0.577,0.3,-0.577)]
-scal=0.5
-fs=4*[None]
-dds=4*[None]
-mns=4*[None]
-i=0
-
-splitview=True
-
-for fn in fns:
- m=MEDFileMesh.New(fn)
- m=m.getMeshAtLevel(0)
- m.writeVTK(outs[i])
- mns[i]=m.deepCpy()
- if splitview:
- m.translate([scal*elt for elt in trs[i]])
- f=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
- f.setMesh(m)
- da=DataArrayDouble.New()
- da.alloc(m.getNumberOfCells(),1)
- da.fillWithValue(i)
- dds[i]=da.deepCpy()
- f.setArray(da)
- fs[i]=f
- i+=1
- pass
-
-
-f=MEDCouplingFieldDouble.MergeFields(fs)
-f.setName("PID")
-
-MEDCouplingFieldDouble.WriteVTK("Domain.vtu",[f])
-dd=DataArrayDouble.Aggregate(dds)
-m=MEDCouplingUMesh.MergeUMeshes(mns)
-if splitview:
- m.translate([4.*elt for elt in [0.577,0.577,0.577]])
-f2=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
-f2.setMesh(m)
-f2.setArray(dd)
-f2.setName("PID")
-MEDCouplingFieldDouble.WriteVTK('DomainMesh.vtu',[f2])
-#m=MEDCouplingUMesh.MergeUMeshes(mns)
-#m.writeVTK("DomainMesh.vtu")
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import *
-
-fns=['DomainMesh_1.med', 'DomainMesh_2.med','DomainMesh_3.med']
-outs=["out1.vtu","out2.vtu","out3.vtu","out4.vtu"]
-trs=[(-0.714,-0.714,0.),(0.,0.,0.),(-0.577,-0.577,-0.577)]
-scal=0.5
-fs=3*[None]
-dds=3*[None]
-mns=3*[None]
-i=0
-
-splitview=False
-
-for fn in fns:
- m=MEDFileMesh.New(fn)
- m=m.getMeshAtLevel(0)
- m.writeVTK(outs[i])
- mns[i]=m.deepCpy()
- if splitview:
- m.translate([scal*elt for elt in trs[i]])
- f=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
- f.setMesh(m)
- da=DataArrayDouble.New()
- da.alloc(m.getNumberOfCells(),1)
- da.fillWithValue(i)
- dds[i]=da.deepCpy()
- f.setArray(da)
- fs[i]=f
- i+=1
- pass
-
-
-f=MEDCouplingFieldDouble.MergeFields(fs)
-f.setName("PID")
-
-MEDCouplingFieldDouble.WriteVTK("Domain.vtu",[f])
-dd=DataArrayDouble.Aggregate(dds)
-m=MEDCouplingUMesh.MergeUMeshes(mns)
-if splitview:
- m.translate([3.*elt for elt in [0.577,0.577,0.577]])
-f2=MEDCouplingFieldDouble.New(ON_CELLS,NO_TIME)
-f2.setMesh(m)
-f2.setArray(dd)
-f2.setName("PID")
-MEDCouplingFieldDouble.WriteVTK('DomainMesh.vtu',[f2])
-#m=MEDCouplingUMesh.MergeUMeshes(mns)
-#m.writeVTK("DomainMesh.vtu")
+++ /dev/null
-DBRep_DrawableShape
-
-CASCADE Topology V1, (c) Matra-Datavision
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510 337 2409 2498 2286 2364 2497 2493 70 2497 70 71 2499 2468 2012 277 2420 2408 277 2408 256 2498 2457 2286 168 2327 322 301 2390 238 301 462 2390 168 167 2327 2500 2456 2407 2500 2407 2488 103 2443 101 103 289 2443 1898 1897 2194 2501 2212 2308 2502 67 2486 531 513 987 2502 2487 66 2502 2446 2487 1898 2194 2249 2502 2478 2446 2501 2461 2212 2502 66 67 2502 2486 2478 1656 1556 2383 2503 2486 67 1656 2383 2470 2503 68 2480 2503 2480 2449 2503 2449 2486 2503 67 68 128 444 129 2504 2481 2394 206 314 2431 2505 2489 2485 2505 2477 69 206 2431 207 2505 70 2489 2505 69 70 2504 2394 2453 383 2426 2318 2505 2430 2477 2505 2485 2430 342 341 2401 2506 2456 2500 342 2401 2469 923 824 2187 383 2318 147 2506 2467 2456 146 2153 2302 923 2187 2256 114 2358 2412 175 102 1658 114 2484 2358 146 2419 2153 2507 2458 2342 2507 2342 2459 265 1656 2470 2508 2165 76 265 2470 263 286 2491 2483 2508 2080 2165 175 1658 176 421 2341 235 286 2483 255 2508 2495 2080 2509 2472 2467 113 165 2484 421 2428 2341 2509 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2314 1305 14 2314 1254 1305 2315 2302 2264 2315 2264 2278 2316 2241 2308 2316 2247 2241 2317 2307 2261 2317 2261 2271 2318 2238 1960 2318 1960 2142 2319 1071 1082 2320 2278 2269 2320 2269 2311 2319 2295 1071 2321 2273 2283 2322 62 2294 2322 61 62 2321 2304 2273 2323 2250 2304 2324 2245 2270 2323 2267 2250 1173 2139 2164 361 2280 2307 1173 1172 2139 2325 2219 2237 361 309 2280 2325 2294 2219 2326 2300 2313 2327 2141 2257 2327 2225 2141 2326 2311 2300 2328 2211 2076 2329 2249 2282 2328 2076 2254 2329 2292 2249 2330 2248 29 2331 2237 2243 2331 2325 2237 2332 2320 2311 2333 2247 2316 2333 2263 2247 2332 2311 2326 381 2307 2317 381 361 2307 2334 2245 2324 2334 2257 2245 2335 2304 2321 2335 2323 2304 2336 2301 2292 2336 2292 2329 2337 2142 2190 2338 2232 2299 2337 2318 2142 2338 2268 2232 2339 2230 2211 2339 2211 2328 2340 2275 2063 2340 2063 2191 2341 2248 2330 2341 2266 2248 2342 2322 2294 2343 2214 2296 2342 2294 2325 2342 61 2322 2343 2262 2214 2344 2254 2281 2345 1861 1922 2344 2328 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--190 22 -40 0 +39 0 *
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-0 1e-07 1 55
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- 1e-07 1 1 0
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-8.04711331183686e-05
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-0101101
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-0101000
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--39 0 -36 0 -194 0 +32 0 +31 0 +178 0 *
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-0 1e-07 1 56
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-
-0101000
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-8.04711331183686e-05
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-0 1e-07 1 58
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-
-0101000
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-
-+1 0
\ No newline at end of file
+++ /dev/null
-# You first have to set the shell environement for medcoupling
-# (see medcoupling/env.sh)
-
-all:
- python demo_loadsource.py
- python demo_createsource.py
-
-clean:
- rm -f createsource_fieldtarget.med loadsource_fieldtarget.med *~
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-#
-# Another possibility (to illustrate the creation of values) is to
-# create the source field using the function fillFromAnalytic
-#
-from MEDLoader import *
-from MEDCouplingRemapper import *
-
-# Read the source mesh and create a field on it
-msource = MEDLoader.ReadUMeshFromFile("meshsource.med","meshsource",0)
-
-equation = "319.*cos(((x)*(x)*3+(y-0.52)*(y-0.52)+(z-0.1)*(z-0.1))*7)"
-fsource=msource.fillFromAnalytic(ON_CELLS,1,equation)
-fsource.setName("Temperature")
-fsource.setNature(ConservativeVolumic)
-
-# Read the target mesh
-mtarget = MEDLoader.ReadUMeshFromFile("meshtarget.med","meshtarget",0)
-
-# Remapper of type P0P0 (interpolation from cells to cells)
-remap = MEDCouplingRemapper()
-remap.prepare(msource,mtarget,"P0P0")
-
-defaultValue = 1e100
-ftarget = remap.transferField(fsource,defaultValue)
-ftarget.setName("Temperature")
-
-outfilename = "createsource_fieldtarget.med"
-MEDLoader.WriteField(outfilename,ftarget,True)
-
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-# _T1A
-from MEDLoader import MEDLoader, ON_CELLS
-from MEDCouplingRemapper import MEDCouplingRemapper, ConservativeVolumic
-
-# Read the source mesh and the source field
-it,dt = (-1,-1)
-msource = MEDLoader.ReadUMeshFromFile("fieldsource.med","meshsource",0)
-fsource = MEDLoader.ReadField(ON_CELLS,"fieldsource.med","meshsource",0,
- "Temperature",it,dt)
-fsource.setMesh(msource)
-fsource.setNature(ConservativeVolumic)
-
-# Read the target mesh
-mtarget = MEDLoader.ReadUMeshFromFile("meshtarget.med","meshtarget",0)
-
-# Remapper of type P0P0 (interpolation from cells to cells)
-remap = MEDCouplingRemapper()
-remap.prepare(msource,mtarget,"P0P0")
-
-defaultValue = 1e100
-ftarget = remap.transferField(fsource,defaultValue)
-ftarget.setName("Temperature")
-
-outfilename = "loadsource_fieldtarget.med"
-MEDLoader.WriteField(outfilename,ftarget,True)
-# _T1B
+++ /dev/null
-# You first have to set the shell environement for medcoupling
-# (see medcoupling/env.sh)
-
-all:
- python projection.py
-
-clean:
- rm MeshTarget.vtu MeshSource.vtu FieldTarget.vtu *~
+++ /dev/null
-# Copyright (C) 2012-2015 CEA/DEN, EDF R&D
-#
-# 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
-#
-
-from MEDLoader import *
-from MEDCouplingRemapper import *
-
-ms=MEDFileMesh.New("MeshSource.med") ; ms=ms.getMeshAtLevel(0)
-mt=MEDFileMesh.New("MeshTarget.med") ; mt=mt.getMeshAtLevel(0)
-fs=ms.fillFromAnalytic(ON_CELLS,1,"319.*cos(((x)*(x)*3+(y-0.52)*(y-0.52)+(z-0.1)*(z-0.1))*7)")
-fs.setNature(ConservativeVolumic)
-fs.setName("Temperature")
-MEDCouplingFieldDouble.WriteVTK("MeshSource.vtu",[fs])
-
-mt2=mt.deepCpy()
-mt2.translate([0.4,0.,0.])
-mt2.writeVTK("MeshTarget.vtu")
-#
-remap=MEDCouplingRemapper()
-remap.prepare(ms,mt,"P0P0")
-ft=remap.transferField(fs,1e100)
-ft.setName("Temperature")
-ft.getMesh().translate([0.4,0.,0.])
-MEDCouplingFieldDouble.WriteVTK("FieldTarget.vtu",[ft])
-
-
-# Image illustrating the starting point:
-# - load MeshSource.vtu (contains mesh+field)
-# - load MeshTarget.vtu (contains only the mesh with translation)
-#
-# Image illustrating the result point:
-# - load MeshSource.vtu
-# - load FieldTarget.vtu
-