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Prerelease update for v22.2 (#1429)
Signed-off-by: Gemma Fardell <47746591+gfardell@users.noreply.github.com>
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CHANGELOG.md

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* Next
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* 22.2.0
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- BlockGeometry is iterable
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- Added `partition` to `AcquisitionData` to partition the data with 3 methods: `sequential`, `staggered` and `random_permutation`
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- TIGRE and ASTRA `ProjectionOperator` now support `BlockGeometry` as `acquisition_geometry` parameter, returning a `BlockOperator`

README.md

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Binary installation of CIL can be done with `conda`. Install a new environment using:
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```bash
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conda create --name cil -c conda-forge -c intel -c ccpi cil=22.1.0
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conda create --name cil -c conda-forge -c intel -c ccpi cil=22.2.0
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```
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To install CIL and the additional packages and plugins needed to run the [CIL demos](https://github.com/TomographicImaging/CIL-Demos) install the environment with:
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```bash
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conda create --name cil -c conda-forge -c intel -c astra-toolbox -c ccpi cil=22.1.0 astra-toolbox tigre ccpi-regulariser tomophantom
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conda create --name cil -c conda-forge -c intel -c astra-toolbox -c ccpi cil=22.2.0 astra-toolbox tigre ccpi-regulariser tomophantom
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```
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where,

scripts/requirements-test.yml

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name: cil_dev_test
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name: cil_dev
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channels:
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- conda-forge
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- intel

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