add JAX backend (runs Shima example!) + improve backend/attribute tests coverage + add skip_division_by_m0 to spectrum moments (not yet in ThrustRTC); phase out Python 3.10 and Intel macOS on CI; phase out Storage::__getitem__(); Numpy 2.0 compatibility - #1732
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New draft backend class consisting of stripped Numba backend code sufficient to run the tutorial collision example.
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slayoo
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Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## main #1732 +/- ##
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+ Coverage 87.07% 87.47% +0.39%
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Files 420 430 +10
Lines 10751 11158 +407
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+ Hits 9361 9760 +399
- Misses 1390 1398 +8 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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slayoo
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Aug 10, 2026
| extensive_attribute_storage, | ||
| extensive_keys, | ||
| ) | ||
| # print(f"{extensive_attribute_storage.data=}") |
slayoo
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| ranks = self.backend.Storage.from_ndarray(np.array(ranks, dtype=float)) | ||
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| # print("Attr name: " + attr_name) |
slayoo
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| timestep=timestep, | ||
| dv=dv, | ||
| ) | ||
| # assert (prob.to_ndarray() > 0.44).all() |
slayoo
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| # act | ||
| idx.length = length | ||
| # print(f"{cell_start.data=}") |
slayoo
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| ff = self.formulae | ||
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| # @jax.jit | ||
| # TODO #1913: fix test fails for this method |
slayoo
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Aug 10, 2026
| def _boost(obj, fastmath, constants, dimensional_analysis): | ||
| """returns JIT-compiled, `c_inline`-equipped formulae with the constants catalogue attached""" | ||
| """returns JIT-compiled, `c_inline`-equipped formulae with the constants catalogue attached | ||
| additionally, adds `jax` attribute for jax.jit compiling of formulae |
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let's add a basic unit test exemplifying the jax() fun
slayoo
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skip_division_by_m0 to spectrum moments (not yet in ThrustRTC); phase out Python 3.10 and Intel macOS on CI; phase out Storage::__getitem__()skip_division_by_m0 to spectrum moments (not yet in ThrustRTC); phase out Python 3.10 and Intel macOS on CI; phase out Storage::__getitem__(); Numpy 2.0 compatibility
slayoo
approved these changes
Aug 11, 2026
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New draft backend class consisting of stripped Numba backend code sufficient to run the tutorial collision example.