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address @jakirkham review comments
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docs/tutorial.rst

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Not all codecs support encoding of all object types. The
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:class:`numcodecs.Pickle` codec is the most flexible, supporting encoding any type
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of Python object. However, if you are sharing data with anyone other than yourself then
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Pickle is not recommended as it is a potential security risk, because malicious code can
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be embedded within pickled data. The JSON and MsgPack codecs support encoding of unicode
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strings, lists and dictionaries, with MsgPack usually faster for both encoding and
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decoding.
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of Python object. However, if you are sharing data with anyone other than yourself, then
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Pickle is not recommended as it is a potential security risk. This is because malicious
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code can be embedded within pickled data. The JSON and MsgPack codecs do not have any
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security issues and support encoding of unicode strings, lists and dictionaries.
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MsgPack is usually faster for both encoding and decoding.
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.. _tutorial_chunks:

setup.py

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'asciitree',
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'numpy>=1.7',
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'fasteners',
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'numcodecs>=0.2.0',
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'numcodecs>=0.4.1',
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],
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package_dir={'': '.'},
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packages=['zarr', 'zarr.tests'],

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