DIST BayesianFitForecast_1.1.0.tar.gz 3045345 SHA256 fc76be8313acf1b6feca8db3729f4e7d9c8f92e1e1599a83c8f7b1e3bca5d169 SHA512 d394e71d8aa6fca3419d3e332de00d790959c5941ab025a7c74169aac895604dc4fc2ed6d4aa66387efc3fb1e86cf392cb7de552d4aad6d189c8ffdaf7b9b149 WHIRLPOOL fa7f45ea097ada374f645e9c1dba83ec167140096844a371e6cc02bb770ab2f8942f4af49f308d90e66a0b306b63c42eaffce917fc25e2fd2117c33b08c580b3
EBUILD BayesianFitForecast-1.1.0.ebuild 806 SHA256 e270dc6d80d85a726ba02cb64732b64809f376461bf5c01b873af63900a04903 SHA512 bf1fc2019a892447f60f0ac91114fd38ff4b5bc26b4986210c116e80486c12f655dd02094da35f0fe607099f9b86a8c9b2abe772b58b49121d8f692c80c5a31e WHIRLPOOL 9a77a993d8ae2cb49b4a508eceac81c8bb1de81399d9a556a947d02431f3ad90edff8715d0a6dc238879857025657f35a374455fb6b7e27f23299f1068f49d52
MISC metadata.xml 552 SHA256 486bd0dde7cba4fba8de5c79eb200ae17881ed8e5c46e84e7e2f179d1e8b54d8 SHA512 46c338cea0bc6765be72d6e119ba7c3815393cfa460ee6375c1be3eea193ed3abc2108af2c1ea6301dfcec70b20bc8f1e4376d53d6f824553fb4b05e4c331c04 WHIRLPOOL 0cbcbccee3599cf9ac7f3f496787a8e970289421149a2db166f0a448c1f08ed4652236387bd40a2f3e5ef5d26909e53fcad7e4a0560d04964bf16baf90d85b2e