mirror of
https://github.com/p2p-ld/numpydantic.git
synced 2024-11-14 02:34:28 +00:00
bump version, update changelog
This commit is contained in:
parent
4ad3dc0696
commit
b6c72b9e47
2 changed files with 27 additions and 1 deletions
|
@ -4,6 +4,32 @@
|
|||
|
||||
### 1.6.*
|
||||
|
||||
#### 1.6.2 - 24-09-35
|
||||
|
||||
Very minor bugfix and CI release
|
||||
|
||||
PR: https://github.com/p2p-ld/numpydantic/pull/26
|
||||
|
||||
**Bugfix**
|
||||
- h5py v3.12.0 broke file locking, so a temporary maximum version cap was added
|
||||
until that is resolved. See [`h5py/h5py#2506`](https://github.com/h5py/h5py/issues/2506)
|
||||
and [`#27`](https://github.com/p2p-ld/numpydantic/issues/27)
|
||||
- The `_relativize_paths` function used in roundtrip dumping was incorrectly
|
||||
relativizing paths that are intended to refer to paths within a dataset,
|
||||
rather than a file. This, as well as windows-specific bugs was fixed so that
|
||||
directories that exist but are just below the filesystem root (like `/data`)
|
||||
are excluded. If this becomes a problem then we will have to make the
|
||||
relativization system a bit more robust by specifically enumerating which
|
||||
path-like things are *not* intended to be paths.
|
||||
|
||||
**CI**
|
||||
- `numpydantic` was added as an array range generator in `linkml`
|
||||
([`linkml/linkml#2178`](https://github.com/linkml/linkml/pull/2178)),
|
||||
so tests were added to ensure that changes to `numpydantic` don't break
|
||||
linkml array range generation. `numpydantic`'s tests are naturally a
|
||||
superset of the behavior tested in `linkml`, but this is a good
|
||||
paranoia check in case we drift substantially (which shouldn't happen).
|
||||
|
||||
#### 1.6.1 - 24-09-23 - Support Union Dtypes
|
||||
|
||||
It's now possible to do this, like it always should have been
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
[project]
|
||||
name = "numpydantic"
|
||||
version = "1.6.1"
|
||||
version = "1.6.2"
|
||||
description = "Type and shape validation and serialization for arbitrary array types in pydantic models"
|
||||
authors = [
|
||||
{name = "sneakers-the-rat", email = "sneakers-the-rat@protonmail.com"},
|
||||
|
|
Loading…
Reference in a new issue