Key | Value |
---|---|
FileSize | 126696 |
MD5 | C77BDE718173A6C8809316125DF9B5F0 |
PackageDescription | Computing gaussians on a grid gau2grid is a python-generated C library for vectorized computation of grid to gaussian collocation matrices. The core of gau2grid is generating the collocation matrices between a real space grid and a gaussian basis set expanded to a given angular momenta. . This package contains the shared library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libgg1 |
PackageSection | libs |
PackageVersion | 1.3.1-1 |
SHA-1 | 578F5DF163BCC078D347C003253AFEDE73CCBC7A |
SHA-256 | 7BDEF45E6B49CB66515115926BE9E0CE6F9D434D6340534375C85F866CFF529D |
hashlookup:children-total | 3 |
hashlookup:trust | 50 |
The searched file hash includes 3 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-gau2grid/changelog.Debian.gz |
FileSize | 657 |
MD5 | 44FB5815D6C3EDBFCE1CA3E95722C2D3 |
SHA-1 | 637C3D8D3B00344E38EC7E4428D17FE5BF1E3D62 |
SHA-256 | 9706E8F82EBAC254677119A5A061ECB5CA0612B587C14DC37E6D608621C27403 |
SSDEEP | 12:XRAyzTTH7AshIAAB0VM98lwx8TMadheuTIXbjVnXApd18nPLtWGZbQ1wSxPDLxty:XqyzTbdhUBeM98OdfJO2ztmw2P/y |
TLSH | T11B0123148EA66988866BB334DF539D4B830B3791D36C440C32E0E529019D2B0D083937 |
Key | Value |
---|---|
FileName | ./usr/lib/aarch64-linux-gnu/libgg.so.1 |
FileSize | 309168 |
MD5 | 5B6B52E2671D65AB25A7B6A1954E515A |
SHA-1 | E920985661234001E758B32ABFB033181CF69648 |
SHA-256 | FD5DD205447E49C5D35BDECD40BB3ABC8798F65FFF6FF554ABE6B4563D36EAA0 |
SSDEEP | 6144:t+kotwd8Ir1MxH5z/hgzO0aBYYez7UAq04gcizPJ+T:atwd8G+LzcO0hYez7tv4ZAPJC |
TLSH | T1E2648DC6B70C7851E47F733E4B6AC867E39960ECB5937062018C0E97844A3F7EBA5A45 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-gau2grid/copyright |
FileSize | 1719 |
MD5 | 70E58DB266BC8E125F30C8172B5EF789 |
SHA-1 | 15FCE01377D46FD43DBF205F56F2D8A3DEFEEA41 |
SHA-256 | 919207711F602EA8845A842873366F25A425AAA0BD9A78ABA09A3112864378DA |
SSDEEP | 48:N4fAbLOOrXSJPJzT9c432sbY32s3Ut013tSTHv:N4YbiOrXSJPJz5/3Q3z9wTP |
TLSH | T14E31764763440BEA5AD12780A6EEB9C4B149D03E7E236E081869E2446B7B03FC4BA095 |