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Co-authored-by: Tuomas Rossi <[email protected]>
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vnmabus and trossi authored Oct 10, 2024
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# Ongoing work

To broaden the utility of the `rdata` library for data processing pipelines with steps in both R and Python, we are currently extending the library with the capability to write compatible Python objects to Rda and Rds files.
As an example, such a pipeline is present in the Hmsc-HPC code [@rahman+_2024_hmschpc], the continuous development of which has been driving the ongoing work on the writing functionality in the `rdata` library.
As an example, such a pipeline is present in the Hmsc-HPC code [@rahman+_2024_hmschpc].
The continuous development of this code has also been driving the ongoing work on the writing functionality of the `rdata` library.
The writing of Rda and Rds files is implemented as a two-step process similar to reading: first, the Python object is converted to the tree-like intermediate representation used in parsing, and then this intermediate representation is written to a file of the chosen format.
Currently, the writing functionality supporting common types is available in the development branch of the `rdata` library.

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