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    <title>PyPI recent updates for leymosun</title>
    <link>https://pypi.org/project/leymosun/</link>
    <description>Recent updates to the Python Package Index for leymosun</description>
    <language>en</language>    <item>
      <title>0.4.14</title>
      <link>https://pypi.org/project/leymosun/0.4.14/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, krylov and quantum core, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification.</description>
<author>suzen@acm.org</author>      <pubDate>Wed, 22 Apr 2026 11:03:21 GMT</pubDate>
    </item>    <item>
      <title>0.4.12</title>
      <link>https://pypi.org/project/leymosun/0.4.12/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools. </description>
<author>suzen@acm.org</author>      <pubDate>Wed, 22 Apr 2026 10:52:10 GMT</pubDate>
    </item>    <item>
      <title>0.2.51</title>
      <link>https://pypi.org/project/leymosun/0.2.51/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Fri, 23 Jan 2026 14:41:06 GMT</pubDate>
    </item>    <item>
      <title>0.2.43</title>
      <link>https://pypi.org/project/leymosun/0.2.43/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Tue, 30 Dec 2025 07:19:57 GMT</pubDate>
    </item>    <item>
      <title>0.2.42</title>
      <link>https://pypi.org/project/leymosun/0.2.42/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Sat, 27 Dec 2025 08:13:45 GMT</pubDate>
    </item>    <item>
      <title>0.2.38</title>
      <link>https://pypi.org/project/leymosun/0.2.38/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Thu, 11 Dec 2025 14:04:43 GMT</pubDate>
    </item>    <item>
      <title>0.2.33</title>
      <link>https://pypi.org/project/leymosun/0.2.33/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Thu, 27 Nov 2025 07:38:05 GMT</pubDate>
    </item>    <item>
      <title>0.2.32</title>
      <link>https://pypi.org/project/leymosun/0.2.32/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis, spectral unfolding, nearest-neighbor spacing,                 mean adjacent gap ratio, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Tue, 25 Nov 2025 11:03:00 GMT</pubDate>
    </item>    <item>
      <title>0.2.22</title>
      <link>https://pypi.org/project/leymosun/0.2.22/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis tools, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Mon, 24 Nov 2025 09:23:48 GMT</pubDate>
    </item>    <item>
      <title>0.2.11</title>
      <link>https://pypi.org/project/leymosun/0.2.11/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via                 Mixed Matrix Ensemble Sampling (MMES) algorithm.                 Matrix utilities, spectral analysis tools, analytic expressions from theory and                 uncertainty quantification tools.</description>
<author>suzen@acm.org</author>      <pubDate>Thu, 20 Nov 2025 16:23:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.55</title>
      <link>https://pypi.org/project/leymosun/0.1.55/</link>
      <description>High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs).                 Generation of  random matrices in canonical and mixed ensembles. Matrix utilities,                 spectral analysis tools, analytic expressions from theory.</description>
<author>suzen@acm.org</author>      <pubDate>Wed, 12 Nov 2025 12:53:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.54</title>
      <link>https://pypi.org/project/leymosun/0.1.54/</link>
      <description>High-Entropy Statistical Research Toolkit. Generation of                 random matrices in canonical and mixed ensembles. Matrix utilities,                 spectral analysis tools, analytic expressions from theory.</description>
<author>suzen@acm.org</author>      <pubDate>Tue, 11 Nov 2025 15:25:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.53</title>
      <link>https://pypi.org/project/leymosun/0.1.53/</link>
      <description>High-Entropy Statistical Research Toolkit. Generation of                 random matrices in canonical and mixed ensembles. Matrix utilities,                 spectral analysis tools, analytic expressions from theory.</description>
<author>suzen@acm.org</author>      <pubDate>Tue, 11 Nov 2025 07:48:49 GMT</pubDate>
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