Key | Value |
---|---|
MD5 | CCE68434A09D49FAD45013E69785D317 |
PackageArch | armv7hl |
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 | 3.fc32 |
PackageVersion | 1.2.4 |
SHA-1 | 93034B46DFDB8B1F52F2612440140E8B54EDE35F |
SHA-256 | DA1D743EEC2288130E3CBBFC4492BCF2333C09BB0B69C40FCB4BACAD86D0256E |
hashlookup:children-total | 449 |
hashlookup:trust | 50 |
The searched file hash includes 449 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/4568da7a353653545f711003d54f38db128766df.png |
FileSize | 520 |
MD5 | 7CE14F332B2F7865D76B8D45061CDAA2 |
SHA-1 | 00D1A605CB7A993AF2F9167E29A41337166D5530 |
SHA-256 | CAD3BE17AC483D2F8BC8187563D9A7B69F0EB6D631082A3D3C14D68C9D552F3D |
SSDEEP | 6:6v/lhPCPzgo9bu/09hmO59B4nVucX30rze9Z7tQ2Y8HhWJkek7RsaUM1yqXi1eXx:6v/7Yzg//0xBCNHIaa2pEpfOyR1esot7 |
TLSH | T11EF05486C3E13C6CC5051533FE83C1CC6F8BBA96A399BE474090CC3B6909C574680809 |
Key | Value |
---|---|
FileName | ./usr/share/doc/deap-doc/html/_images/math/276f7e256cbddeb81eee42e1efc348f3cb4ab5f8.png |
FileSize | 239 |
MD5 | C50EF5F32193EA7ADFBD57F68E96CA0C |
SHA-1 | 00FD7AF0D2944FDE770AD3E0F96FBBF36F4B6925 |
SHA-256 | 0FACA7A02ED7A36B3D9E6846350985431B0CA4191AC83EEA307FF203B5A5DBF8 |
SSDEEP | 6:6v/lhP/DgGkjhmODFLPqlJPPqlx2O6uEup:6v/73DgvZLMPqlxRFEc |
TLSH | T129D022C39AA7CC9CD1A924333B3596484D032328F6436A067846E2A2DE5234888BCA03 |
Key | Value |
---|---|
CRC32 | F436B5D2 |
FileName | usr/lib/python3.12/site-packages/sphinx_rtd_theme/static/css/fonts/lato-normal-italic.woff2 |
FileSize | 195704 |
MD5 | 4EB103B4D12BE57CB1D040ED5E162E9D |
OpSystemCode | 362 |
ProductCode | 184543 |
RDS:package_id | 309640 |
SHA-1 | 01BAEC836B2420F2C132A1201E32124E9256914D |
SHA-256 | 4465765F2F6EDDCDAD34FFD7CAB559E56BC0E75E45E192F85E9562B0771481DC |
SHA-512 | 8D64C9D96A38F3D1D75F535B0E998794FEA1AEF7223733B323F837DC9B481163FA7D02EFC67429F7F820059F0CE335AB2DB885730BE25C9B0B1CA279AD11877F |
SSDEEP | 3072:il8/duaPbUbdpal5BJLjSEEjSzmzIREKcyeJqfAaw2wT6DVKsdY7DO7usK8sJ9VE:il8VNP4oBJX3EjSYKcyesnwT68sdY+7X |
SpecialCode | |
TLSH | T1CF1423049AE099C9D8D1CC374EBC1A5F94D9BCFEC7C85DD01E11E658B371AC41AE82AE |
db | nsrl_modern_rds |
insert-timestamp | 1733215774.9981713 |
mimetype | application/octet-stream |
source | dump.db |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/ad2c8101af3f233ceefa1ec6865721f302b84cfd.png |
FileSize | 1364 |
MD5 | BFA9034BFA7AE7AF8543DC0F869CDED1 |
SHA-1 | 01BBAD9A0430990D93674DEEBDD53532A3838570 |
SHA-256 | 147A502CDA4C31662E3B20721011B6CA59CC841CCF8A7DF1BC9C5E83B4895ACE |
SSDEEP | 24:uK61uyIeddlftlGvQMpCe4RI+mBIL3QS0JGo5B04HC96Qwc:ElDrNIZrcJLDj0JlasBc |
TLSH | T1BB21FB99938397C2C41165F10D399018F94117CC607EA24BC69B8E3C8D7F4BF9425AAF |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/340c54d7b4f301eb582e5ce306364e1cc4fe20b1.png |
FileSize | 935 |
MD5 | 4CD3FE05BB1EB5B528769571B9BFADD0 |
SHA-1 | 0204C2EB5F0FD23DC9D4AC2A785A9442C217AC9F |
SHA-256 | 8A79A0E762CCFE7EF6015B5499F7E787C42141971B7F29522F0BE0B1ADFBA773 |
SSDEEP | 24:yVcInZGxUWsmjZ7qh1tZV8inO5m5C0kuWuG+D3DwVgv:y7WsMq1tZVim5ChlmR |
TLSH | T1B811EBAFC7419E5DDEC231BB9353140D71766604BC802775549CC7501C903E9DFC861B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/56ac83c03464e42463c625f1f9ef1833a2927d2e.png |
FileSize | 1559 |
MD5 | D57B5C76887ADB71AC3CC1CC97005571 |
SHA-1 | 0286AC2DF4167E679BAB721BB112C2F136502079 |
SHA-256 | 84180B1F00F69D1B3CFE4042D6FD913ED856E0971069F22227F78EEC19CDA17C |
SSDEEP | 48:wJSgG/HXBPxVnsqoyrsaLeFuVUcZnj5IacRi7:+eHXB5VsqoOsaLeFpcAace |
TLSH | T17331E586928AE347E27989FB96336103221F9980338275141997ECF5CF6503C25390F8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/a5d23ddad04b332c54e468fd62d6493589d61339.png |
FileSize | 7055 |
MD5 | E8B556DB82C50C89D7978C23B1454B69 |
SHA-1 | 02D8592662066BA1D57451429615ABC9E9E843E5 |
SHA-256 | D76AEF21D313E72FC84301AB4FD49DD446F4F0FD555E5FC663F4F01B477F6BB5 |
SSDEEP | 192:wumQxGoFgLuULSYftQOlWYzpeRY3BIlavx8/31c:8uFgLkWVzpeimoz |
TLSH | T17BE18DE916EAA15DECF89333F5A7D752633B50DBD3430229A08AEC96ADE27788301141 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/183e9814ec579a80697d078963ce0412589322f1.png |
FileSize | 295 |
MD5 | 85798EE5CE82709F93A21CDFE44EA8B8 |
SHA-1 | 06640648522D03BC7A466F425CF660F56595EE8A |
SHA-256 | E4F520D351381166CF8DA45A5D79223D5E0AB5608BCDC43C0C5EA165534CDFF9 |
SSDEEP | 6:6v/lhPHgoRjkNohmLWlCHw4F4VIvms4BVGX6aG//jp:6v/7PgAizWlCHw4CVIvb4jrF//N |
TLSH | T1EEE095D3D4DF4C45DF71C57321379404D05577B553506943640DF2205101CBB410474C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/1e3c4fd71e54eca8ee4a7928ebfd8e6c0bc70d31.png |
FileSize | 255 |
MD5 | 8659656B672553CA93FD89269162C0F6 |
SHA-1 | 076091F011A7052CE1BDB6CB705DDBF960AD144F |
SHA-256 | F87EA8AD55E2CBD6EDA316FE768A2D24B00669D17824E5271B71F0E5A47B5C8D |
SSDEEP | 6:6v/lhP97gY20r9hmjktmgLauZZFpOWq3/cFlbp:6v/7lgN6RLlL8WqEl1 |
TLSH | T159D023FBD1D36DF4D51515315B9550C4EC10A7DC772AB90B74C5CB317DC25895F54801 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-cvxopt/html/_images/math/249b38285050bda51fd1579d716b5553f8114a0d.png |
FileSize | 282 |
MD5 | E8AA32FCCC0A03DE3E2E54BBD1C6A6D4 |
SHA-1 | 07A2554CF81DF3A9EC6F3AF8BE7DE174DEE7A2AB |
SHA-256 | FF1D72A152F220F4AD958D4B80ADCD247C2229CC350728A9AA43181CA7DB9BD6 |
SSDEEP | 3:yionv//thPlrwhi3Rd1pxbglkWKtnjMR2Wm6tsjh/rywOjmQCrIa728ZCVUPNDoa:6v/lhP2hyzgoRjkNohmXNa68xGbbMTp |
TLSH | T138D097E3882ACD07DE28C1332A0EE008A03E782CDA61E68AF01FD9755A506A28194282 |