Key | Value |
---|---|
MD5 | FB72BF0EB54C22E9B1B5FE29AFB32A77 |
PackageArch | ppc64 |
PackageDescription | CVXOPT is a free software package for convex optimization based on the Python programming language. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python's extensive standard library and on the strengths of Python as a high-level programming language. |
PackageMaintainer | Fedora Project |
PackageName | python3-cvxopt |
PackageRelease | 1.fc21 |
PackageVersion | 1.1.7 |
SHA-1 | 836ECB545BEDDE421ACD74277FE3AFDE168E27EE |
SHA-256 | F1D62038EB5E37991F897A72DFB995A6A9712CD1E30EA89755A4214B208C9795 |
hashlookup:children-total | 416 |
hashlookup:trust | 50 |
The searched file hash includes 416 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/8005301c57dbcd3f8754173aaa142f457c62467a.png |
FileSize | 494 |
MD5 | 88123501FE391241BDAFBFFFC88E02A4 |
SHA-1 | 0201D3B0812B9D4990B3DD02DAE3961B28D73147 |
SHA-256 | 4AAB321C1CE54418DE7D2CD4F0E3AED070BDDC0B5D071E00E10525C9B469815C |
SSDEEP | 6:6v/lhPWOga6bFqePghmIu2F+SVq2OD6i0A1n9Ll6Uuf+r9kQih69MyInSCBWH0t5:6v/7Dga6RMxFnoUud2+r9W69VTKA9QPz |
TLSH | T1DBF023737AF2DEACC0644A3EE1447564D28F0259E344C18727DBFB2D660350688687EA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/c-api.html |
FileSize | 35508 |
MD5 | 5DDFFA7CA4C0A70760B04F02E450A730 |
SHA-1 | 0208F156CC779B5DAC0ACCBC1C23C02F82B83686 |
SHA-256 | 305F76ECC3D2D5B48F624C2D3D41875A3018AAE692B0B9D87A7CCD693EDEFD6B |
SSDEEP | 384:jzgM4hPqdeKZS8Ezthh3KogvdjSiG5XJilssPh5Ac3Dly1g:1iWXEzthFKogv0iMJO/Ph5A25y1g |
TLSH | T159F28BE1A8FAC533013381D7ABBE1F25B4E1842EE5520041B6FC837947DEE96781796E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/50cf04b9d1b2e43389af7efacd08a059a35a8766.png |
FileSize | 1249 |
MD5 | EDFA7205019769AB3FE536B8413F1D9A |
SHA-1 | 0243FF465B25DE722C0495E9441E35FDE6BBAE42 |
SHA-256 | BA75BB6E40FB22FB1B76A6B672B41513C04D83DDD8A60AA33943004A93E285C2 |
SSDEEP | 24:fRpDZ9/A5ZcVaSDOrm5ImCDpha3zKWnN1dz1f4EZUDxkD3cgK:JpDZ9/sEvDOrm5ImCTLWFzlUlkDy |
TLSH | T15221E722E8DEE9A2F2F867309575F1301C93D48F8520C3AE10476330AC8419F399694E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/lapack.html |
FileSize | 200348 |
MD5 | EB39167BFBEE0193B7978A0FDA842ACA |
SHA-1 | 02E69E094EE7080999B2E6D81149994C3CFDB372 |
SHA-256 | 873DA4AE80359AA107145A7563884FB639984AAA54E43F5A3EF33333148574F3 |
SSDEEP | 1536:4WiQUiv+J4JYzJnJN4JIa3vU6z70aAKbGtu:nhzGtu |
TLSH | T16214ACA1D5FB9273497386F2D3AF1F2074E14869F2524840E6FD93B983DEC46B913826 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/95eb42a74083f3034ef47412f7b8b9c91f4292b5.png |
FileSize | 1353 |
MD5 | F8B3F72C9189ECE95F80B5380446181B |
SHA-1 | 02EE2E1A0FB9715968F0982E7B82C4615FE95CC5 |
SHA-256 | EBBF3F2CD00D5B228C5292F9D68FE55F07779EBDD0D9ACF49241CFBE2D11982D |
SSDEEP | 24:oMxGvHIN43w4dZGFnk67kKAh0DrbCXcJqIG5pqPh9Bts5rc4A7ESZ3:PxC+9xnyKA5XeA5whTtsFAwC |
TLSH | T100212B6FB26F3109FB042B352A244172E2057371D032740BDB6904192C13CC184E70F9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/f760f3b11939823c9b02bad5db429093145730a6.png |
FileSize | 1238 |
MD5 | AF69676BE38FB79AE1E0817EB30E7F6D |
SHA-1 | 03823B1F29C2863044DB4B44EC8EDA61A83989F7 |
SHA-256 | 38CC271D6D28F0BACEA7952AE8521BB11A1B9AAA973592C6A86EA3402A78CDEE |
SSDEEP | 24:OcJPsMJkm+hUJ+ouxQ+64gVRoq5U6SvT2lDA5Re5EUi69MVejiUl:OcR/6hUcouxQ+fgVRv+vSA4mjMpl |
TLSH | T17C21846A651F0C26DD5C4CFEEEE79E19E086AB08308F818AEE9570B160D4B315F18981 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/50e0b32054a553f10d8a402909d4bfd04ff51197.png |
FileSize | 370 |
MD5 | F424ABCB3D1ECFAAB897410A4BA9BED3 |
SHA-1 | 039C9CA64D6DD9F4592F0F2EADB82556EC78BD41 |
SHA-256 | 99F2ADD8963B3E989DE52C5614A25FEF98387748D7074B0B772D3319B0ED3622 |
SSDEEP | 6:6v/lhPkyl/w7gojuXmtKhmUWFgH6HPI7fQhERL13wcnlEL8qNsl2up:6v/78zgmYmJFgavgfQiRVlLqul2c |
TLSH | T1D6E028D294E3DCFEE2AE20335F03911DE44A5448D427C56555F6DD22484194468CD010 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.4/site-packages/cvxopt/__init__.py |
FileSize | 8290 |
MD5 | 15A9F74C3C5B537AA7B6A9A958DD6676 |
SHA-1 | 0406AF18B2FB3677C0C66A393FCB2FE4572AF88E |
SHA-256 | 2E1C7F218FD1AF7C66C0DC907214595F4B969E10E509B0B3096A5802C96B85D6 |
SSDEEP | 192:ygYE7R5FiojJSjHLt88kOqdJnkpk3PFkIETpYkWSBJM:CE7R5vqrJe13KTgSBJM |
TLSH | T15C0253933A4226718343806B898CE8968F3DDC13B5526DB1758DC1607F41E3667FABF9 |
Key | Value |
---|---|
CRC32 | BD655506 |
FileName | usr/lib/python3.12/site-packages/rest_framework/static/rest_framework/fonts/fontawesome-webfont.woff |
FileSize | 44432 |
KnownMalicious | malshare.com |
MD5 | 3293616EC0C605C7C2DB25829A0A509E |
OpSystemCode | 362 |
ProductCode | 239005 |
RDS:package_id | 294618 |
SHA-1 | 04C3BF56D87A0828935BD6B4AEE859995F321693 |
SHA-256 | 0FD28FECE9EBD606B8B071460EBD3FC2ED7BC7A66EF91C8834F11DFACAB4A849 |
SHA-512 | 72AC7F041EFF447E156E2716A43D8D2E124669EFC410C0DDF235D7DF0627FD9F98D6A3269F94EFCBBADB1CFFE3641CD594A8420614E62B04BA9AFF0FE7A906A5 |
SSDEEP | 768:i6VzVymSbSDcPi1iyD9m9ySj+H2fmwsTtxNIZOcMmMfSXHJlAhAZnZiBzu6CHqKv:bVyW6i1iyD9Epj+umwsSZOcMm9XzAhaf |
SpecialCode | |
TLSH | T1E813F1D16F11F170921BC1760E683F7C8733276E6AC249ABCD52DAB0DB2E5DC960E242 |
db | nsrl_android |
insert-timestamp | 1728286436.3659477 |
mimetype | application/octet-stream |
source | snap:7LmqhJlheg2kizC1k1KX3pw1DRZ0bf8K_29 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.4/site-packages/cvxopt/blas.cpython-34m.so |
FileSize | 173720 |
MD5 | 0BCDB7B963D883FDA8836B95AA607BA9 |
SHA-1 | 051C2E0F8B1A7A818152463349D414408FEB8105 |
SHA-256 | 40FB267E100C3F1735D6161A67B4BA4F7DEEA88B38840F516C5700477B39BD55 |
SSDEEP | 1536:Cx1AqyHQIgAuIg9lWYANLvl2cPUTL+b8If3LZLaR+14LusRXu6y2JrsBWc8nQ:Cx1YQI49s14Sj2SBWc8n |
TLSH | T16604B6C27F020153E109447D42A62DFCF7AC261615B0B577BB0E5E9B0BC2EDD6E8B6A1 |