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	<name>python-numexpr</name>
	<arch>aarch64</arch>
	<version epoch="0" ver="2.14.1" rel="1"/>
	<checksum type="sha256" pkgid="YES">a61767b07bab7ec0e4522055aa5e974038de78a96a78d2fcdc0ad00677c9ef89</checksum>
	<summary>Fast numerical array expression evaluator for Python and NumPy</summary>
	<description>The numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time (JIT)
compiler, i.e. it does not require a compiler at runtime.</description>
	<packager>uro &lt;uro@urogaming.co.uk&gt;</packager>
	<url>https://github.com/pydata/numexpr</url>
	<time file="1775143987" build="1775143844"/>
	<size package="218696" installed="812413" archive="0"/>
	<location href="python-numexpr-2.14.1-1-omv2690.aarch64.rpm"/>
	<format>
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</package>
