Comments (3)
JonasIsensee
commented on May 18, 2024
1
This could actually be really neat!
I just took a look at the implementation in JLD.
I think it could be improved for JLD2:
- Use a
_requiressubgroup that contains entries for every requirement. That avoids having to delete a list over and over again AND it would be readable using tools likeh5dump. - Attach version number of loaded package. This allows for future extension to warn users if there are major version number changes.
f["_requires/DataFrames"] = versionofloadedpackage(DataFrames)
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lbenet
commented on May 18, 2024
Any progress on this?
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JonasIsensee
commented on May 18, 2024
Hi @lbenet ,
there is #377 which implements something like this. The PR has been sitting around unused for a while since I wasn't super convinced, it was optimal but it does work.
You are welcome to test and give feedback.
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Related Issues (20)
- Variables named with modifiers (like \hat) are incorrectly saved HOT 5
- UndefVarError: #68#new_logstate not defined HOT 3
- LoadError: type DataType has no field size HOT 9
- Upgrading old structures with parametric composite types HOT 5
- Unknown Parallel Issue HOT 1
- Reconstructed types regression in v0.4.33 HOT 7
- ArgumentError: destination has fewer elements than required HOT 3
- file permissions after adding JLD2 HOT 3
- Round-trip serialization for `Tuple{Type{Int32}}` results in `Tuple{DataType}` HOT 1
- Issue when saving tuples of variable length (Vararg tuples).
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- Julia compat needs fixing in General
- [Feature request] `save(file, x)` and `load(file)` HOT 3
- Deserializing LRUCache.LRU breaks in v0.4.37 HOT 4
- [email protected] compatible issue with [email protected] HOT 1
- File saved in Julia 1.10.0-beta3 cannot be loaded in Julia 1.10.0-rc1 with Random.Xoshiro HOT 5
- Don't map back to Julia composite type HOT 2
- Optional plain HDF5 data mapping without reconstruction of data source type HOT 10
- Dict of mutable struct reconstruction fails with newer JLD2 versions HOT 1
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