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    <title>PyPI recent updates for cryptoguard</title>
    <link>https://pypi.org/project/cryptoguard/</link>
    <description>Recent updates to the Python Package Index for cryptoguard</description>
    <language>en</language>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/cryptoguard/1.0.0/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sat, 06 Jul 2024 15:39:06 GMT</pubDate>
    </item>    <item>
      <title>0.0.9</title>
      <link>https://pypi.org/project/cryptoguard/0.0.9/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sat, 29 Jun 2024 22:44:43 GMT</pubDate>
    </item>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/cryptoguard/0.0.8/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Mon, 24 Jun 2024 18:59:02 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/cryptoguard/0.0.7/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Wed, 12 Jun 2024 01:51:05 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/cryptoguard/0.0.6/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sun, 09 Jun 2024 18:05:56 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/cryptoguard/0.0.5/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sun, 09 Jun 2024 17:59:42 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/cryptoguard/0.0.4/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sun, 09 Jun 2024 17:40:48 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/cryptoguard/0.0.3/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sat, 01 Jun 2024 15:27:06 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/cryptoguard/0.0.1/</link>
      <description>cryptoguard is a comprehensive Python package enabling seamless execution of diverse random number testing suites, ensuring the statistical integrity and reliability of random number generators for various applications.</description>
<author>jnaizer777@gmail.com</author>      <pubDate>Sat, 01 Jun 2024 14:35:38 GMT</pubDate>
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