A Python interface for Meep is currently under development. A separate version was developed by the Photonics Research Group at Ghent University, in particular thanks to Emmanuel Lambert, Martin Fiers, Shavkat Nizamov, Martijn Tassaert, Peter Bienstman, and Wim Bogaerts. It can be downloaded from:
As an additional resource, archives of the meep-discuss mailing list, which is no longer active, are available which include postings from 2006-2021. These archives can also be accessed using a newsgroup reader via the NNTP interface address: news.gmane.io/gmane.comp.science.electromagnetism.meep.general.
This creates an environment called "mp" (you can name this anything you like) with PyMeep and all its dependencies. This will default to the version of Python in your Miniconda installation. The optional "pymeep-extras" package contains scipy, matplotlib, autograd, and other packages necessary if you want to try out the tutorial examples.
Note: There is currently an issue with openblas 0.3.5 that causes segmentation faults on newer Skylake X-series cpus. If import meep results in an "illegal instruction" error, downgrade openblas to version 0.3.4 as follows:
Warning: The pymeep package is built to work with OpenBLAS, which means numpy should also use OpenBLAS. Since the default numpy is built with MKL, installing other packages into the environment may cause conda to switch to an MKL-based numpy. This can cause segmentation faults when calling MPB. To work around this, you can make sure the no-mkl conda package is installed, make sure you're getting packages from the conda-forge channel (they use OpenBLAS for everything), or as a last resort, run import meep before importing any other library that is linked to MKL. When installing additional packages into the meep environment, you should always try to install using the -c conda-forge flag. conda can occasionally be too eager in updating packages to new versions which can leave the environment unstable. If running conda install -c conda-forge attempts to replace conda-forge packages with equivalent versions from the defaults channel, you can force it to only use channels you specify (i.e., arguments to the -c flag) with the --override-channels flag.
The first * requests the latest version of Pymeep, and the mpi_mpich_* says to get a version that includes "mpi_mpich" in the build string (the packages are currently built with the MPICH implementation of MPI).
Note: If you experience crashes when using matplotlib on macOS, try importing meep before importing matplotlib. In addition add the following line to your ~/.matplotlib/matplotlibrc file to force the TkAgg backend:
Note: For pymeep-parallel on macOS, a bug in openmpi requires that the environment variable TMPDIR be set to a short path like /tmp. Without this workaround, you may see errors similar to this:
Note: To update, pymeep, you can do conda update -c conda-forge pymeep. If you run into problems (e.g. some other update has interfered with your environment), you can instead create a new environment from scratch each time.
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Download Source Package meep-openmpi: [meep-openmpi_1.12.0-3build2.dsc] [meep-openmpi_1.12.0.orig.tar.gz] [meep-openmpi_1.12.0-3build2.debian.tar.xz] Maintainer: Ubuntu MOTU Developers (Mail Archive)Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.
Other Packages Related to meep-openmpi depends recommends suggests enhances dep:guile-2.2-libs Core Guile libraries dep:libc6 (>= 2.29) GNU C Library: Shared libraries also a virtual package provided by libc6-udeb dep:libctl7 (>= 4.4.0) library for flexible control files dep:libgcc-s1 (>= 3.0) [not armhf] GCC support library dep:libgcc-s1 (>= 3.5) [armhf] dep:libmeep-openmpi17 (>= 1.12.0) library for using parallel (OpenMPI) version of meep dep:libstdc++6 (>= 5) GNU Standard C++ Library v3 dep:openmpi-bin high performance message passing library -- binaries rec:libopenblas-base Optimized BLAS (linear algebra) library (transitional) or libatlas3-base Automatically Tuned Linear Algebra Software, generic shared or libmkl-rt Intel® MKL: Single Dynamic Library (SDL) or libblas.so.3 virtual package provided by libatlas3-base, libblas3, libblis3-openmp, libblis3-pthread, libblis3-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial Download meep-openmpi Download for all available architectures ArchitecturePackage SizeInstalled SizeFiles amd64221.1 kB903.0 kB [list of files] arm64193.5 kB833.0 kB [list of files] armhf195.6 kB602.0 kB [list of files] ppc64el232.1 kB1,198.0 kB [list of files] s390x187.2 kB893.0 kB [list of files] This page is also available in the following languages:
I created this recipe for a general guide line to install meep and python-meep on MacOS based system. Currently I installed on MacOS Sierra, and meep or meep-mpi does not working correctly, make check failed symmetry test which is failing due to a small numerical error (I guess this is fine). The error message that I have is posted as an issue in meep Github repo. It seems like due to guile library, please let me know if you have any suggestion, I would really appreciate.This is the error message I have when running examples of meep scripts:
In the cloned code (on 2/1/15), some files needed to be modified to get swig to work properly. Specifically, the cloned libctl/Makefile.am caused broken libctl/meep_swig_bug_workaround.i, libctl/meep_enum_renames.i and libctl/meep_renames.i to be created. To fix that I modified two lines in libctl/Makefile.am:
That resulted in good libctl/meep_swig_bug_workaround.i and libctl/meep_enum_renames.i when make was run, but to fix libctl/meep_renames.i, I punted and just copied that file over from a meep 1.2.1 distribution. 2b1af7f3a8