Key | Value |
---|---|
FileSize | 3222986 |
MD5 | CDC33FACD013A94A19D7C8D696A544B8 |
PackageDescription | documentation for the Python interface to OpenGM OpenGM is a C++ template library for discrete factor graph models and distributive operations on these models. . It includes state-of-the-art optimization and inference algorithms beyond message passing. OpenGM handles large models efficiently, is modular and extendible. The graphical model data structure, inference algorithms and different encodings of functions inter-operate through well-defined interfaces. The binary OpenGM file format is based on the HDF5 standard and incorporates user extensions automatically. . This package contains the documentation for the Python interface to the OpenGM library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-opengm-doc |
PackageSection | doc |
PackageVersion | 2.3.6+20160905-1build2 |
SHA-1 | 023F1CE922378D8BB3C536D3AFFBBA0BE7259941 |
SHA-256 | C590A2A981E32D06184E6CE215627DBE60CA22C82D60B797987BE070F703C648 |
hashlookup:children-total | 99 |
hashlookup:trust | 50 |
The searched file hash includes 99 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_static/comment.png |
FileSize | 3445 |
MD5 | 8D94046D9402345E61DC1188E53D3412 |
SHA-1 | 06232D84D94FB4E86343453BB71E422BA13CD25A |
SHA-256 | A16656D6CD430BFD6AF677A7FE3B5A71722B8D0C6A9DBA4B81A36534EA71238D |
SSDEEP | 96:kZ/I09Da01l+gmkyTt6Hk8nT+SeiVkhzHc:kS0tKg9E05T+SeiVkJc |
TLSH | T148619FBE97A0909FF99E72110E8C0282D358121C5D5B2B7CC9D1D0CE106ED46FB625B8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_sources/index.txt |
FileSize | 2469 |
MD5 | E15B73F9C7ED3A2AF5CE0A1DA894F2AD |
SHA-1 | 06A42E170D6584A21BB28F490EF9CE129205E1F5 |
SHA-256 | 13B7076B84CC79CF17EDC0FA775E038BEB9F0DD741B95459B5F0AB3AB2E83EFF |
SSDEEP | 48:JO5Q0O2a5FspAEM9zs9bNyYXDiBaJQ+I1GVeQ3qP1zgYcX8nXKAlnQZcX8nXu:t0OkaET9EYXOam31onDA+0 |
TLSH | T12B5161015E193A41525AD1D8A62D8AB6E7786C753031141BFDBC400E3727BB903AD7C6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/potts_gui.py |
FileSize | 1100 |
MD5 | 0968E0231DCBD8CFF702D49924834C8F |
SHA-1 | 0A0F4FF9C21CAE5A404DFFCADB1F98E3D322B119 |
SHA-256 | 986FBEF4CE7A5FD343FF4BFD849733AA568E58B7BC3A7CD6F7E06B14D1453489 |
SSDEEP | 24:EMdzWu/hVrAd2GgVJm1/vh3PNvNwgNpwMnzLWOCu5hkBkhgdB:lR/hDVO/v5V9NlzVhk2hw |
TLSH | T1B9113341B22B092E93044AF7ACE73AAB277153930F241D4C930AF3781DC6C4E062F165 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_images/triangle.png |
FileSize | 117035 |
MD5 | D932231F10AE827307FCEAE8645974BD |
SHA-1 | 0A9E8C8EDCE4CE703DF37CD5C6546B4288C98214 |
SHA-256 | E5CF6E76F15734901FD4E354B1BD8BC84685DBDB7EC1E9063C9014241FA0EB68 |
SSDEEP | 1536:imiu6m1nPXmMZr+d+WBwPIPhdmxGD/1PG12NKzuHpjgX72BIdGQ+XpUH90SzKWdZ:ybGnuRZuUTmLGKa+NqpUSSmWdaIL |
TLSH | T16CB3CF635B53B8E6CD19D432ED690BFC922C08E9181E1F6203FA5158EE675DD02E22F7 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/new_visitor.py |
FileSize | 312 |
MD5 | 0BE82DBDD7C8C1B4137682D0A48882A2 |
SHA-1 | 0CDB6183A84961978FD3144BA6251228C3534987 |
SHA-256 | AEBBDA1C62F7690ADB9E475DD46B7B8521C9A549AAFDCE37D81A6E5FFFDFC78F |
SSDEEP | 6:uMlLzDBji3b2KXMeJbrIqYzp6CwAXHrvvUL3A0sGIaHoTF3L4xdVJRtuDJav:uMF6Uzppwc7vUUGIaHo5743jjuDAv |
TLSH | T120E07DC2E7280557831D0AA85DA533BD1B3F7052B9582C045A7563E00CC5EC93CB42E6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/_static/up-pressed.png |
FileSize | 345 |
MD5 | 9A690571B3AB342531B14E64E3268303 |
SHA-1 | 0ED5C464FDF979C9D057CC417D744620BE2293D8 |
SHA-256 | C47A1D098B90EC29367CC369F9A5CD21F9E5055EAAA102C55A005D6A7E8C805B |
SSDEEP | 6:6v/lhPfp8RFk/xf+kiccccccccccccccccccccccylAO739JO858SBf/HC+/2ZSa:6v/7uKQOe8CYHf22QSQ |
TLSH | T158E0EB52F0209C29DC00C013030E09E1A862338C88938208C47D8025EC01A0D04D3D1F |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/html/search.html |
FileSize | 3825 |
MD5 | 119E2DA9964F50BE3A81E5C1557504FD |
SHA-1 | 0F6F08DA1DB9947AFADD8F5C9A55BAB836EAE9F8 |
SHA-256 | BE1D293E793C7419DF70E4F6C4D26CB15EF6D82F803AF3006F45FAEFD99EE2A9 |
SSDEEP | 96:eMHbTff4DmRHt09q2D9ljmzUHnKCnW6Za8i2DKjmzUHn6:5n3ht+gKnPa8iMKn6 |
TLSH | T1C68162029CF1E813806286D7E6F6F9166D86D10B960AA808B0DC567D1FC2F984D5FB8D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/mrf/denoise.py |
FileSize | 6728 |
MD5 | E541081C9638D1B3D6C50C4E2395339D |
SHA-1 | 145886BDDA359DC1B5BF6115709E644168A5977B |
SHA-256 | 597ADD816D4E7545A2BFC930449915C8E998CC15ABC3B7AAE1E66755FAD06DB1 |
SSDEEP | 96:JAs2mB2HGNmlDwvV1UQfeFQiLi9hsAnK5lWtQ8ROenFYAefAbmp2uES02jmQbva4:ugBDmQiLi3KSC8rFYAe4bmp/aOgyJB |
TLSH | T11BD19617A9131A2FD31B45694CEF6AD32765B0031698381D797DC0B81F06B77232EB79 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/tutorial/Irregular Factor Graphs.ipynb |
FileSize | 803728 |
MD5 | 6F99E96FD98105F39B70FCAD8DF64B46 |
SHA-1 | 14EF5A912FC8CEFE5CF30164A70E42ED07154A1C |
SHA-256 | BCC4A1DBA9733D85368D6A38DEF15BDB5CFCF42DFF223598D777DA6D478DA629 |
SSDEEP | 12288:s64ckNXcu2FAzNMqMXTk5RANcXbgx+r4wFSXwrZ/4GIj6drgKMqNhjrNPgJ90Gsu:nYcLq+Tk5Rg6b6XU7rMjjKhjrI7s08i |
TLSH | T1060523309513EC95CA6D02F2F1BDAB8E3C6B62F36858354D750C72286BC8B1C6D36A5D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-opengm-doc/examples/tutorial/Solvers In OpenGM.ipynb |
FileSize | 2031 |
MD5 | 489FC64528EB6E17BEC844A8C7DB52BF |
SHA-1 | 17CFAA86AFF8EA558E8B3BC554956B532DF8A825 |
SHA-256 | B8F220F2EF674434D599E35FE6E798958FB158F30C8F49496F5F3FE243703D54 |
SSDEEP | 24:9dwWr26HRs0O9Dzq/GmGZJ39NU3Nyyz0QH1eBDMkozfHfGxIgHfGxIrz:9KWy6xNSPUXz0QH1eBwk6f/Lg/Lrz |
TLSH | T10241BC96E870AD1201CEE02A13A9874D727353938F9A78057BDC493C1F8E79F127638E |