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    <title>PyPI recent updates for megashtein</title>
    <link>https://pypi.org/project/megashtein/</link>
    <description>Recent updates to the Python Package Index for megashtein</description>
    <language>en</language>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/megashtein/0.1.5/</link>
      <description>Neural network-based string similarity using squared Euclidean approximation to Levenshtein distance</description>
<author>sawyerhpowell@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 03:11:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/megashtein/0.1.4/</link>
      <description>Neural network-based string similarity using squared Euclidean approximation to Levenshtein distance</description>
<author>sawyerhpowell@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 03:03:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/megashtein/0.1.3/</link>
      <description>Neural network-based string similarity using squared Euclidean approximation to Levenshtein distance</description>
<author>sawyerhpowell@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 02:49:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/megashtein/0.1.2/</link>
      <description>Neural network-based string similarity using squared Euclidean approximation to Levenshtein distance</description>
<author>sawyerhpowell@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 02:35:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/megashtein/0.1.1/</link>
      <description>Neural network-based string similarity using squared Euclidean approximation to Levenshtein distance</description>
<author>sawyerhpowell@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 02:33:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/megashtein/0.1.0/</link>
      <description>Neural network-based string similarity using squared Euclidean approximation to Levenshtein distance</description>
<author>sawyerhpowell@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 02:27:47 GMT</pubDate>
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