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We recommend installing `acquire-zarr` in a fresh conda environment or virtualenv.
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For example, to install `acquire-zarr` in a conda environment named `acquire`:
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```
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```shell
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conda create -n acquire python #compatible with python 3.9-3.13
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conda activate acquire
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python -m pip install acquire-zarr
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#### Usage
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The library provides two main interfaces. First, `ZarrStream`, representing an output stream to a Zarr dataset.
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The library provides two main classes. First, `ZarrStream`, representing an output stream to a Zarr dataset.
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Second, `ZarrStreamSettings` to configure a Zarr stream.
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A typical use case for a 4-dimensional acquisition in Python might look like this:
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The `acquire-zarr` C library is distributed as a binary and headers, which you can download for your system from our [Releases page](https://github.com/acquire-project/acquire-zarr/releases). You will also need to install the following dependencies:
We suggest using [vcpkg](https://github.com/microsoft/vcpkg) or another package manager to handle dependencies.
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[Here](https://github.com/acquire-project/acquire-zarr/blob/main/examples/CMakeLists.txt) is an example CMakeLists.txt file of C executables using acquire-zarr.
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#### Usage
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The library provides two main interfaces. First, `ZarrStream`, representing an output stream to a Zarr dataset.
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The library provides two main structs. First, `ZarrStream`, representing an output stream to a Zarr dataset.
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Second, `ZarrStreamSettings` to configure a Zarr stream.
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A typical use case for a 4-dimensional acquisition in C might look like this:
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