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More xp scipy - #95
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* Numpy docstrings (#91) * Docstring tooling: ruff D rules, numpydoc validation, doctests, autodoc reference * Rewrite docstrings in NumPy format with runnable examples * Trim api.md to an overview; move its details into guides and a CUDA headers page * Fix CudaStruct.from_signature with postponed annotations * Load the postponed-annotations test helper by path * Add mpi exchange (#92) * Added xp.mpi.exchange * Added testing/smoke_wheel.py * Fix docs * Add fake cupyx.scipy and batched xp.optimize.newton (#93) * Add fake cupyx.scipy and batched xp.optimize.newton * Docs: resolve scipy cross-references via intersphinx * fix: segment_sum on the fake CuPy sums on the host buffers (#94) * More xp scipy (#95) * fix: segment_sum on the fake CuPy sums on the host buffers * add xp.scipy.linalg.solve_circulant on the device * Add xp.optimize.fsolve/root/minimize and xp.integrate.quad/odeint with device callbacks * Added MIT license * More xp scipy (#96) * fix: segment_sum on the fake CuPy sums on the host buffers * add xp.scipy.linalg.solve_circulant on the device * Add xp.optimize.fsolve/root/minimize and xp.integrate.quad/odeint with device callbacks * Added MIT license * Support CuPy >= 14.0: fake cupyx.scipy names of 14.0.0, checked against CuPy in the GPU CI * Hide the real cupyx in the fake_cupyx test fixture * Fake cupyx.scipy: copy and deepcopy of proxy objects (#98) * Faster type checking on numpy (#99) * fix: segment_sum on the fake CuPy sums on the host buffers * add xp.scipy.linalg.solve_circulant on the device * Add xp.optimize.fsolve/root/minimize and xp.integrate.quad/odeint with device callbacks * Added MIT license * Support CuPy >= 14.0: fake cupyx.scipy names of 14.0.0, checked against CuPy in the GPU CI * Hide the real cupyx in the fake_cupyx test fixture * more xp scipy * formatting * numpydoc fix * Amd support (#100) * AMD support via hipify * Updated job names * Remove _trap() on HIP * Fix tests * formatting
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