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agreement after fierce debate.
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brenthuisman committed Aug 10, 2023
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Expand Up @@ -14,7 +14,7 @@ After much more delay than anticipated, we are very happy to present a new Arbor

## Breaking changes since v0.8.1

* The ability to set binning and sampling policies have been removed, due to Arbor now having a fixed timestep. Removing exact delivery increases the speed of the simulation due to elimination of small steps, makes the numerics independent of presence of sampling, and also leads to a number of code simplifications.
* It is no longer possible to set binning and sampling policies, due to Arbor now having a fixed timestep. Removing exact delivery increases the speed of the simulation due to elimination of small steps, makes the numerics independent of presence of sampling, and also leads to a number of code simplifications.
* Contexts are now constructed kwargs-only. So, `arbor.context(12, None)` is now `arb.context(threads=12, gpu=None)`. In the case no arguments are supplied, the context initialized to `default_allocation`, which means it will use the total number of threads and first GPU that are locally available. `arbor.simulation` constructed without an explicit `arbor.context` also initializes a `default_allocation`.
* Version bumps:
* CUDA 11 or higher is required for GPU builds.
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