Tags: JuliaPy/PythonCall.jl
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[Diff since v0.9.24](v0.9.24...v0.9.25) **Merged pull requests:** - Add `--heap-size-hint` parameter (#547) (@MilesCranmer) - Add `elsize` method for PyArray (#593) (@cjdoris) - Bump actions/cache from 1 to 4 (#602) (@dependabot[bot]) - Bump julia-actions/setup-julia from 1 to 2 (#603) (@dependabot[bot]) - Bump actions/checkout from 2 to 4 (#604) (@dependabot[bot]) - Bump codecov/codecov-action from 1 to 5 (#605) (@dependabot[bot]) - Bump actions/setup-python from 3 to 5 (#606) (@dependabot[bot]) - OpenSSL compat (#613) (@cjdoris) **Closed issues:** - Specifying `--heap-size-hint` to JuliaCall (#546) - Error for code with PythonCall that works with PyCall (#576) - `Base.elsize` not implemented for `PyArray` (#579) - pytorch GC (#592) - Precompile cache misses (#594) - PythonCall not working in Jupyter Notebook in VSCode (#601)
[Diff since v0.9.23](v0.9.23...v0.9.24) **Merged pull requests:** - Switch to pyproject.toml (#545) (@MilesCranmer) - fix: patch changed behavior of `setproperty!` for modules (#583) (@MilesCranmer) - PyList: fix pushfirst! for Julia 1.11, by adding prepend! (#588) (@hhaensel) **Closed issues:** - Segmentation fault when `juliacall` is imported before `torch` (#435) - `pyconvert_add_rule` must be executed before using `pyimport` in `__init__()` (#500) - juliacall 0.9.22 can result in hanging precompilation (#537) - Segmentation Fault in combination with Distributed (#548) - Segfault with package, but not with identical module (#554) - OpenSSL library collision with external python on linux systems (#561) - How to debug `openssl` could not resolve for environment spec inside a package? (#562) - `no method matching project_rel_path(::Pkg.Types.EnvCache, ::Nothing)` on 1.10.5 (#564) - General registry segfault (#569) - Broken on Python 3.13.0 (#581) - Julia 1.11 prevents assigning objects to Main (#582)
[Diff since v0.9.22](v0.9.22...v0.9.23) **Merged pull requests:** - Update GIL.jl lock's documentation (possible mistake?) (#538) (@camilodlt) - fix PyNULL typo (#544) (@ericphanson) **Closed issues:** - Dropping GIL when calling Julia from Python (JuliaCall) (#343) - V0.9.22 bug: error in running finalizer: UndefVarError(var=:PYNULL) (#543)
[Diff since v0.9.21](v0.9.21...v0.9.22) **Merged pull requests:** - Require a compatible openssl version (#523) (@lassepe) - More thread-safe GC (#529) (@cjdoris) - simplify GIL handling (#530) (@cjdoris) - GIL functions for genuine multi-threading (#535) (@cjdoris) **Closed issues:** - Libraries loaded via _jll packages are visible inside PythonCall environment. (#519)
[Diff since v0.9.20](v0.9.20...v0.9.21) **Merged pull requests:** - making it possible to use another package instead of `pickle` for serialization (e.g. `dill`) (#494) (@schlichtanders) - Timedelta conversion (#499) (@cjdoris) - pyjl (#512) (@cjdoris) - call jl_atexit_hook when atexit (#516) (@dpinol) - check for null in multimedia show functions (#526) (@cjdoris) - Julia formatter (#528) (@cjdoris) **Closed issues:** - single `Jl` type for Julia values (#404) - support "dill" for serialization and deserialization (#424) - Not working with julia version 1.10.1 on linux systems (#464) - datetime.timedelta conversions fail in juliacall (#498) - np.bool_ does not convert to julia Bool (#502) - data-type specific Julia scalars with JuliaCall (#504) - OSError on Apple M2 Chip (#508) - finalizer may never be called (#515) - seg fault from pynew() in vs code REPL (#522)
[Diff since v0.9.19](v0.9.19...v0.9.20) **Changes:** * The IPython extension is now automatically loaded upon import if IPython is detected. * JuliaCall now compatible with Julia 1.10.3. * Minimum supported Python version is now 3.8. **Merged pull requests:** - Unittest IPython extension + Automatic loading (#478) (@MilesCranmer) - fix issue 487 (#488) (@cjdoris) **Closed issues:** - numpy functions don't treat Any[...] arrays like Python lists (#486) - `display` broken for parametric structs with `show` referencing the struct parameters (#487) - use existing julia install (#489) - Python: TypeError: Object of type DictValue is not JSON serializable (#491) - Error in calling display(array) (#495)
[Diff since v0.9.15](v0.9.15...v0.9.16) * Big internal refactor. * New unexported functions: `python_executable_path`, `python_library_path`, `python_library_handle` and `python_version`. * `Py` is now treated as a scalar when broadcasting. * `PyArray` is now serializable. * Removed compatibility with Julia 1.10.1 and 1.10.2 (to be fixed in 1.10.3 and 1.11.0) due to an upstream bug. * Bug fixes. **Merged pull requests:** - Refactor (#360) (@cjdoris) - refactor tests to match refactored modules (#412) (@cjdoris) - make PythonCall.GC more like Base.GC (#413) (@cjdoris) - Fix table display in docs (#438) (@gdalle) - Remove M1/M2 part from FAQ (#444) (@MilesCranmer) - Update juliacall.md (#446) (@MilesCranmer) - Fix around logo (#449) (@hyrodium) - Add an example for `tname` for custom Python-to-Julia conversion rule (#450) (@cuihantao) - Allow multi-block expressions in `seval` (#452) (@MilesCranmer) - Update faq.md with example on running JuliaCall inside Blender (#456) (@cdsousa) - skip docs cleanup when nothing to clean (#465) (@cjdoris) - Ensure error message shows for missing libpython (#471) (@goretkin) **Closed issues:** - move to JuliaPy org? (#150) - why do boolean comparisons with Py object return Py object? (#294) - Bus error with multithreading linear algebra (#298) - CondaPkg opt out doesn't work (#301) - Roadmap to v1 (#311) - conda-forge feedstock? (#378) - Inconsistent broadcasting behavior of Py arrays (#392) - Passing functions to Julia as global variables is buggy (#394) - make PythonCall.GC more like Base.GC (#409) - Rename internal modules to be nicer (#415) - Export python interpreter info (#419) - Migrate to Python 3.12, require it (#421) - Create conda pkg for juliacall at conda-forge (#425) - How to `reinterpret` a PyArray without copying data? (#429) - Main.seval can't parse multiple toplevel blocks (#433) - Development version of juliacall starts the Julia REPL (#447) - Using development version of package opens Julia REPL (#451) - TypeError: cannot pickle 'PyCapsule' object (#454) - Unable to find DLLs on Windows using PythonCall with Python3.8+ (#457) - `numpy` arrays cannot be serialized when used in `pmap` context (#459) - IPython extension fails on Julia 1.6.7 (#460) - Segmentation fault on `import juliacall` in a CI job (#472)
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