Result for 55726CED396925C54532DBA09EBBFF6042EAEABF

Query result

Key Value
FileSize32076
MD5DCFCAD58C52C21CF7EA003F2F05F7916
PackageDescriptionKinematics Dynamics and Optimization Library - convhull-3d DART is a collaborative, cross-platform, open source library created by the Georgia Tech Graphics Lab and Humanoid Robotics Lab. The library provides data structures and algorithms for kinematic and dynamic applications in robotics and computer animation. DART is distinguished by it's accuracy and stability due to its use of generalized coordinates to represent articulated rigid body systems and computation of Lagrange's equations derived from D.Alembert's principle to describe the dynamics of motion. For developers, in contrast to many popular physics engines which view the simulator as a black box, DART gives full access to internal kinematic and dynamic quantities, such as the mass matrix, Coriolis and centrifugal forces, transformation matrices and their derivatives. DART also provides efficient computation of Jacobian matrices for arbitrary body points and coordinate frames. Contact and collision are handled using an implicit time-stepping, velocity-based LCP (linear-complementarity problem) to guarantee non-penetration, directional friction, and approximated Coulomb friction cone conditions. For collision detection, DART uses FCL developed by Willow Garage and the UNC Gamma Lab. DART has applications in robotics and computer animation because it features a multibody dynamic simulator and tools for control and motion planning. Multibody dynamic simulation in DART is an extension of RTQL8, an open source software created by the Georgia Tech Graphics Lab. A header only C implementation of the 3-D quickhull algorithm
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibdart-external-convhull-3d-dev
PackageSectionlibdevel
PackageVersion6.12.1+dfsg4-11
SHA-155726CED396925C54532DBA09EBBFF6042EAEABF
SHA-256910F15306CCF3E886B3A9B7C03CA1F7817CB10DDA46FAFB31DF79FBD98E61E69
hashlookup:children-total4
hashlookup:trust50

Network graph view

Children (Total: 4)

The searched file hash includes 4 children files known and seen by metalookup. A sample is included below:

Key Value
FileNamesnap-hashlookup-import/usr/share/doc/libdart6.12/copyright
FileSize10760
MD5331DC1F0897E8B95FD55178BEAD338E1
SHA-11ECEDD337B18645CFC1B27167E7A8ADFCD98D6E4
SHA-256D970C43DA820453BFDF9E989ED92F60DBD66C135DB68F5ECC79CE981462B63DE
SHA-5124DA090212338D202C07ED64FCEB18BCFE86027594CA0DAC5B31242D15E13DFFA3A1CAA2006F84DB60A0AB2DFC025C98019129935B3EE8A29656B66DB384DEB68
SSDEEP192:TWWJisGgorsDirsJn3E3BhCBIYrs0rs1TF3J3bCBGSQHayiqQHFe+QH6PBfz4V:TWWM/rsDirsJ32Bqrs0rsxt5bq/y5AzE
TLSHT1EE22E71B378047B319D713E1B969ACC4F22AB12E362B564974FDE2882B3742ED2F7454
insert-timestamp1728228991.8290117
mimetypetext/plain
sourcesnap:v6uYHwANKFR0x49yy8sk473QCiV4fkpV_2
Key Value
FileNamesnap-hashlookup-import/usr/include/dart/external/convhull_3d/convhull_3d.h
FileSize35582
MD5D833EB65980DB310A0D3DB77A4742F1A
SHA-10D47FD98F2545887A1838156A7CFD00A72461A7E
SHA-25609D55B72D28F6B8D8FA593F3BEA7DAF14368929074E39BD02E8FD25481B214BA
SHA-512B7B482692C5AB8300CBF5D0A111BFD2B594BB58C1648029DFE7015B81E8855F21E68D020DA4BFC9A8B69B8C8DA9DCF47E16F96D36D806895E949C3BF7B38B088
SSDEEP768:fAuCnA/yOF4ehrjxSZu4RQJwjze8YDgK4h4frzx:fAQ/yOF4ehrjcu4RQJwjze8YDgVafrt
TLSHT1E7F2C4301E901731265B8B75AF9F6808A60DE17B31D1FD9CBCAC56040F0B97497F6EAA
insert-timestamp1728229306.5248375
mimetypetext/x-c
sourcesnap:v6uYHwANKFR0x49yy8sk473QCiV4fkpV_2
Key Value
FileName./usr/share/doc/python3-dartpy/changelog.Debian.gz
FileSize2502
MD5F9640A98E4CF1C855510C9986F6D0514
SHA-10869CCD2C3E60DC68F9CDA136503D590E10CF742
SHA-256E44A384E4AB4E31A07FB0C874D66967031D4E42576947CDFF32E173790B03937
SSDEEP48:X5jdfBJTjkVwwsNIPcKq9MjDuXJrdkZRxUWk3+AP2YTikNMkEjsVRSsCb:ppj3kVwTKk39M/+rsuPJJiMVO
TLSHT1B0514C5B52CF87ECD9C5CF23D6B43881EC89BA920A1312630809D19995FC439BEE7607
Key Value
FileName./usr/share/doc/python3-dartpy/changelog.gz
FileSize16495
MD5BAA79A4484A46476FE06916F2D19C86A
SHA-1B9D5F97E1064FB75563C529FDE5ABCD7E270859B
SHA-2561298E678673DCBD7F361AD80DD14CD75C59813AF39C4482AFC5F440CC6B37572
SSDEEP384:tczZNWuO1rTdUwX2X2rVgkoVWU9l3PsCjIg5FndaFr:6NWOwGXAfo4q5sC35tcFr
TLSHT1EC72D0483F89897C30A715397B9E75A78BAA30DFA45284D4935C0AC3C2FBDD8C80D51D