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	<name>python-h5py</name>
	<arch>x86_64</arch>
	<version epoch="0" ver="3.16.0" rel="1"/>
	<checksum type="sha256" pkgid="YES">699bdc5dbd74a7f488a07cfc672d1e127f1f4a3673c0e1b0723b4dd6e98044f3</checksum>
	<summary>A Python interface to the HDF5 library</summary>
	<description>HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5.  HDF5 is a versatile,
mature scientific software library designed for the fast, flexible
storage of enormous amounts of data.

From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion.  You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections.  Datasets are organized in a
filesystem-like hierarchy using containers called &quot;groups&quot;, and
accessed using the traditional POSIX /path/to/resource syntax.

In addition to providing interoperability with existing HDF5 datasets
and platforms, h5py is a convenient way to store and retrieve
arbitrary NumPy data and metadata.</description>
	<packager>uro &lt;uro@urogaming.co.uk&gt;</packager>
	<url>https://github.com/h5py/h5py</url>
	<time file="1774368187" build="1774368003"/>
	<size package="6405466" installed="16897708" archive="0"/>
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			<rpm:entry name="libc.so.6(GLIBC_2.4)(64bit)"/>
			<rpm:entry name="libhdf5.so.310()(64bit)"/>
			<rpm:entry name="libhdf5_hl.so.310()(64bit)"/>
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