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Merge pull request #243 from zarr-developers/release-2.2.0-prep
Release 2.2.0
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docs/release.rst

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.. _release_2.2.0:
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2.2.0 (release candidate)
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-------------------------
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Version 2.2.0 is currently at the release candidate stage. To install the latest release
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candidate version using pip::
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$ pip install --pre zarr
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Alternatively, to install the latest release candidate using conda::
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$ conda install -c conda-forge/label/rc zarr
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2.2.0
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-----
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Enhancements
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~~~~~~~~~~~~

docs/tutorial.rst

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Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
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Store type : zarr.storage.DictStore
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No. bytes : 8000000 (7.6M)
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No. bytes stored : 33460 (32.7K)
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Storage ratio : 239.1
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No. bytes stored : 33240 (32.5K)
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Storage ratio : 240.7
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Chunks initialized : 10/10
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>>> baz.info
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Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
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Store type : zarr.storage.DictStore
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No. bytes : 4000000 (3.8M)
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No. bytes stored : 20443 (20.0K)
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Storage ratio : 195.7
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No. bytes stored : 23943 (23.4K)
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Storage ratio : 167.1
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Chunks initialized : 100/100
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Groups also have the :func:`zarr.hierarchy.Group.tree` method, e.g.::
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Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
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Store type : builtins.dict
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No. bytes : 400000000 (381.5M)
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No. bytes stored : 10502688 (10.0M)
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Storage ratio : 38.1
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No. bytes stored : 6696010 (6.4M)
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Storage ratio : 59.7
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Chunks initialized : 100/100
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>>> f = zarr.array(a, chunks=(1000, 1000), order='F')
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>>> f.info
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Compressor : Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0)
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Store type : builtins.dict
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No. bytes : 400000000 (381.5M)
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No. bytes stored : 5530511 (5.3M)
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Storage ratio : 72.3
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No. bytes stored : 4684636 (4.5M)
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Storage ratio : 85.4
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Chunks initialized : 100/100
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In the above example, Fortran order gives a better compression ratio. This is an

requirements_dev.txt

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mccabe==0.6.1
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monotonic==1.3
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msgpack-python==0.4.8
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numcodecs==0.5.3
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numcodecs==0.5.4
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packaging==16.8
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pkginfo==1.4.1
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pluggy==0.5.2

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