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RELEASE_NOTES: Expand information on ndarrays
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@ -16,9 +16,14 @@ Highlights:
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- Fastino 32-channel, 3MS/s per channel, 16-bit DAC EEM
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- Fastino 32-channel, 3MS/s per channel, 16-bit DAC EEM
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- Kasli 2.0
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- Kasli 2.0
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* ARTIQ Python (core device kernels):
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* ARTIQ Python (core device kernels):
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- Matrix math support on the core device.
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- Multidimensional arrays are now available on the core device, using NumPy syntax.
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- Trigonometric functions and miscellaneous math library support on the core device.
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Elementwise operations (e.g. ``+``, ``/``), matrix multiplication (``@``) and
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- Failed assertions now raise ``AssertionError``\ s instead of aborting kernel execution.
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multidimensional indexing are supported; slices and views are not yet.
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- Trigonometric and other common math functions from NumPy are now available on the
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core device (e.g. ``numpy.sin``), both for scalar arguments and implicitly
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broadcast across multidimensional arrays.
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- Failed assertions now raise ``AssertionError``\ s instead of aborting kernel
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execution.
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* Performance improvements:
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* Performance improvements:
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- SERDES TTL inputs can now detect edges on pulses that are shorter
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- SERDES TTL inputs can now detect edges on pulses that are shorter
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than the RTIO period (https://github.com/m-labs/artiq/issues/1432)
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than the RTIO period (https://github.com/m-labs/artiq/issues/1432)
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@ -45,6 +50,10 @@ Breaking changes:
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* ``artiq_netboot`` has been moved to its own repository at
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* ``artiq_netboot`` has been moved to its own repository at
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https://git.m-labs.hk/m-labs/artiq-netboot
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https://git.m-labs.hk/m-labs/artiq-netboot
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* Core device watchdogs have been removed.
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* Core device watchdogs have been removed.
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* The ARTIQ compiler now implements arrays following NumPy semantics, rather than as a
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thin veneer around lists. Most prior use cases of NumPy arrays in kernels should work
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unchanged with the new implementation, but the behavior might differ slightly in some
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cases (for instance, non-rectangular arrays are not currently supported).
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ARTIQ-5
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ARTIQ-5
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