Installation¶
Requirements¶
The following packages are required to work with ESMPy:
python, minimum version 3.7
The following packages are optional:
Getting the code¶
The ESMPy source code can be downloaded from the ESMF git repository.
The ESMF User’s Guide contains information on building and installing esmpy.
The ESMF Reference Manual contains information on the architecture of ESMF, example code, and details of the API (Application Programming Interface).
Anaconda Packages¶
ESMPy conda packages are available through the conda-forge channel:
conda create -n esmpy -c conda-forge esmpy
Specific versions of the conda package can be installed like this:
conda create -n esmpy -c conda-forge esmpy=8.1.0
Development versions can be found in the esmpy_dev
channel:
conda create -n esmpy -c conda-forge -c esmpy_dev esmpy
Installing ESMPy from Source¶
When installing from source, ESMPy uses pip to build and install the package. This requires setting an environment variable pointing to a file named esmf.mk that is generated during an ESMF installation. The path of this file is:
<ESMF_INSTALL_DIR>/lib/lib<g<or>O>/<platform>/esmf.mk
An installation of ESMPy in the default location for Python packages can be done with the following command issued from the top level ESMPy directory:
python3 -m pip install .
Please contact esmf_support@ucar.edu with any questions.
Note
With some python versions, there is a problem with the automatic installation of the required package setuptools-git-versioning
. If the output from the pip install
command ends with Successfully installed esmpy-0.0.0
, this indicates that the setuptools-git-versioning
package was not invoked and the build thinks you are using ESMF version 0.0.0. This will cause problems when you try to use ESMPy. To solve this problem, simply rerun the above installation command (python3 -m pip install .
). You should then see a reasonable version number at the end, such as, Successfully installed esmpy-8.4.0
.
Importing ESMPy¶
To use ESMPy in an external program, import it with:
import esmpy
The environment variable ESMFMKFILE
must be set when using ESMPy.
Note
The Python module name for ESMPy was changed in v8.4.0 from “ESMF” to “esmpy”. If you are using a version older than v8.4.0, the import command is import ESMF
. See the ESMF Release Notes for more details and links to previous versions of the ESMPy documentation.
Validation¶
The ESMPy testing is done with the pytest package, both in serial and parallel. Basic unit tests can be run with the following command:
python3 -m pytest
There are a few other pytest targets available for a wider range of testing if greater test coverage is desired:
make test_unit
make test_examples
make test_unit_parallel
make test_examples_parallel
make test_regrid_from_file
Note
The regrid_from_file
and example
tests can take up a lot of memory
and bandwidth. The download_regrid_from_file
and download_examples
commands will simply download the test files without actually running them
(allowing the stress on the machine to be applied to bandwidth first, and
then memory).
Limitations¶
ESMPy doesn’t include many aspects of ESMF, including components, field bundles, time management, etc. The limitations listed here are relative to ESMF offline and integrated regridding capabilities.
ESMPy cannot use an ESMF installation that is built with external LAPACK support.
Coordinates cannot be retrieved from the elements of a
Mesh
. This can affect the ability to setField
values on a sourceMesh
created from file when using conservative regridding.Multi-tile
Grid
support is limited to cubed-sphere grids created on 6 processors. A cubed-sphere grid can be created on any number of processors, but only when it is created on 6 processors will the coordinates be retrievable for the entire object. AField
created from a cubed-sphereGrid
cannot be written to file in parallel.There is no
FieldBundle
class, only singleFields
.
Testing related:
Nightly regression testing is limited to a small subset of the ESMF test platforms, including Darwin and Linux running gfortran with openMPI.