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PyCAMA 0.6.3 released

Added by Maarten Sneep almost 2 years ago

The setup script still referred to matplotlib and basemap as hard requirements. For the PDGS these are not required and were therefore removed as a dependency. Of course when you generate the graphical output you'll still need these packages.

In addition some filters were added and output for a Magic Planet™ globe is now supported.

PyCAMA 0.5.0 released

Added by Maarten Sneep almost 2 years ago

The minor version number has been updated because an addition was made to the netCDF output files. We now collect sufficient statistics to combine several output slices into a single output file. That is almost sufficient data, as combining median and percentiles are hard to combine anyway.

Manual has been updated.

PyCAMA 0.3.6 released

Added by Maarten Sneep about 2 years ago

Some minor issues were fixed, but most importantly a test suite has been added to the distribution. Currently running the test suite requires access to the test data set on the ODA (not included here, the test suite is about 8 GB in size, and has not yet been publicly released). The manual is updated with instructions on how to run the tests.

The source package and manual can be downloaded from https://dev.knmi.nl/dmsf/pycama

Version 0.3.5 released

Added by Maarten Sneep about 2 years ago

In this version issue #1237 was fixed.

In addition the test infrastructure has been improved, if you have access to the ODA, then you can now easily test out PyCAMA. follow the instructions in test/cases/master.sh to get started. The documentation will be updated to make this even easier. Because the job order file is generated on the fly, the exact directory structure of your level 2 input data isn't important.

The source package and manual can be downloaded from https://dev.knmi.nl/dmsf/pycama

Version 0.3.3 released

Added by Maarten Sneep about 2 years ago

While working on a formal output format description I encountered some inconsistencies. These were corrected in this release.

Both the manual and the source package are available from the DMSF.

Version 0.3.0 released

Added by Maarten Sneep about 2 years ago

This changes allows for consistency checking. To force updates, the minor version number is bumped as well. Note that you will have to update the version number in your job order files and use the configuration file included in this release.

Both the manual and the source packackage are available from the DMSF.

PyCAMA version 0.2.4 released

Added by Maarten Sneep about 2 years ago

Some internal interfaces were changed, and the output format was changed in a few details.

  • The keyword parameters for the filter functions are no longer merged per variable. Instead they are taken care of by individual filter objects. This means that the same filter can be used multiple times on a single variable. It also means that keys do not have to be unique. In short: this change probably avoids a lot of headaches.
  • Event counters are now stored per granule, rather than aggregated per day. This means that the granularity of the event counters is now finer in the MPC, allowing for a more fine-grained support. Note that this required a change in the output format, previous PyCAMA output files can not be read anymore.
  • Doxygen comments have been added, and a Doxygen configuration file has been added (for Doxygen 1.8.13).
  • A separate script has been added which can generate a report based on the PyCAMA netCDF file (without requiring a job order file).

The manual has been updated to 4.1.0 and is available in the DMSF.

(11-20/27)

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