Key | Value |
---|---|
FileSize | 12418660 |
MD5 | 3AFA60F7DF3A7A895E94C26E79CFB50A |
PackageDescription | interactive visualization in Python [documentation] Vispy is a high-performance interactive 2D/3D data visualization library. . Vispy leverages the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets. . This package provides documentation for VisPy. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-vispy-doc |
PackageSection | python |
PackageVersion | 0.6.6-1 |
SHA-1 | 4D836706E7A3CB38A691DD6EF6C8EF929A9A9E9B |
SHA-256 | 2F98546F09CC84509DD9C267A0ADEAD19C0B0C919158494AC973F104A677EB3B |
hashlookup:children-total | 386 |
hashlookup:trust | 50 |
The searched file hash includes 386 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/sphinx_bootstrap_theme/bootstrap/static/bootswatch-3.3.7/cerulean/bootstrap.min.css |
FileSize | 128257 |
MD5 | 4ABC771EC996323E38DD127400A9361A |
SHA-1 | 00D69D1B94DF6FB7248CC7E77A1B18F71D799CE9 |
SHA-256 | CA9B316A4AA635F54F257C0B25D5841CB12F0FC01F1498DB99B9B42FBAFE34A9 |
SHA-512 | DCD12C328A41CBC1370186587D61030FE9D1194A091DB09B74DA326F8B40DF1F47AEC8B1097FD3A3786F6E7D40275239001BBF2F4AB82AC54AC1B5F8BCFC2F75 |
SSDEEP | 768:pzkGxw/f/Hm3o8DnJgI6GHNSLLMl/GGlXMbZbVdGvP9P08Ef/VZAqQkQzaxv:p5w/nKSI6GHNSLLZG1AdjBf/V3Q4v |
TLSH | T168C3C660F11031EA7323C55A71D0FE8A3259E193E5664EB7F22F65E88F855CA0273F1A |
insert-timestamp | 1728970043.6881106 |
mimetype | text/plain |
source | snap:CRyc3PMhfCSITBgxznvDPPwK9acscVAh_9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/examples/basics/scene/image.py |
FileSize | 1886 |
MD5 | CC2B107D4AC156EBDCABB3C9729C04AB |
SHA-1 | 018F2C445CF5885CB5B5F0DD27076D497A9A63EC |
SHA-256 | 4F805E2B82CA753A4BB471EEFF2D8C17F72DFCF5B32CB60C378CA266AC45855F |
SSDEEP | 48:w1OsHc3ktjKWWzIDOye697dualrn6GCx5ZOfEaMTiaR:/EwktmWUIn6G8ZL0c |
TLSH | T17441B65C6C332526815ED2BF30496004F771D8D72AD11A58788CE558975A6D0C7FFB61 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/examples/tutorial/gloo/textured_quad.py |
FileSize | 1881 |
MD5 | E174F418B4A1860EA6C35AE6B3D6D3F1 |
SHA-1 | 025215ED0161F4C8171C965B40687B9B5AC1B88B |
SHA-256 | 1F9F36E230443C3297811388E6493C278F3404345E79A612014AC6CC6713BAF4 |
SSDEEP | 24:ln3NTO8BHoy8poyg8gg/zLWN5JAmAjXBUCtPlbkouaxGEdvPieaL:NsJtpoegYeN/J+R7pkoceaL |
TLSH | T18641F167CC8B85A4AF4BCC2F65835802D37D9C53244EE55039DEB52E5F85A10C1BDEE4 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/html/_sources/README.rst.txt |
FileSize | 429 |
MD5 | B58C5E4A16CF6481BA311FA83F3B3AAA |
SHA-1 | 02EEE86B84494EFE76690A14E2504DD0E1F51A53 |
SHA-256 | 0DDFD2A74B14386B34EF7CB74F32F5410928D7DD970F0708DF056794BC3923D1 |
SSDEEP | 6:NAZ3VKHAE27fxEfMFJ59PjisRt2Xt/MgTxEgxmLlsme/BJIun:NyFKHw7fxFPjrKf6xxOJH |
TLSH | T1CCE061675D5C46F6C801D51D32FD90C2D7565181D5D5221560AD28641F6176712AD640 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/html/_static/screenshots/thumbnails/mandelbrot.png |
FileSize | 35423 |
MD5 | C08F4D4919B9D0362F869DD08DDDB71A |
SHA-1 | 02F7B35977A6D4EB08568A1E250C9730B0B347DB |
SHA-256 | AFFD9DFED505D1A0AB6C1861092F6FA41ABACEA4DD5611378D8AD801C5B5FFFC |
SSDEEP | 768:tUMojzg/q+vakYdxSCNbFHoYWqrjFRMwBFyKdtUIxt1bM8RZd0Hfy:togycIdxSCNbxW2JFyyPPY8rd0Ha |
TLSH | T11EF2E1ABADA8FC731B71F2CBDE052C994E2E733DE2CD30147A2250495999E73D5A0C64 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/examples/demo/gloo/cloud.py |
FileSize | 7679 |
MD5 | 0092A0B0D25F10924E13EA18287DD28E |
SHA-1 | 031A5C6B1DCAEBBD589A0573A8A7BDF281593427 |
SHA-256 | FD8980FB85326BB03B3918AFF8896C92BE8F4C35C963E51E498D3A57644DF316 |
SSDEEP | 192:wV5ICmf/yLr6PjvwfC6wCPWCMwGgKjawj0YCp0zSt/isS:wDwuYjKCCWCEgXYCp0zSt/E |
TLSH | T1C4F1F3039F6350A43E57E46EAB83D40EC31980D31A8DB751B25D5201DF8229E67ACEF7 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/sphinx_bootstrap_theme/bootstrap/static/bootswatch-3.3.7/sandstone/bootstrap.min.css |
FileSize | 124860 |
MD5 | E121C9AA154873346D390D9A6CC92C07 |
SHA-1 | 0363805BA9F01F7C293E95DDB2210270084376E7 |
SHA-256 | C0CEFF79018A5CF778502C776CC0B02DF81E4186460178A2A1E4C4FBAB9ECC7E |
SHA-512 | 5B972112BB5509162055AE31EC091AB32B3AEDE39C3F05531F0712BF23557D629B2C48AB4086DE8ABAE29D2502DCD85BE0B0E90D9ACE67E48A58AF45E592043F |
SSDEEP | 768:fzkGxw/sfHR3o85AFII6sHvaa/zmuwMUoCbZbsOKCLqGIvCmDL6lJAQkQzaE:f5w/CbTI6sHvaa/6MhbOA68L6AQv |
TLSH | T159C3E760F11031EA7333C51A72D0ED863259E152E5674EB7F22F65E88F886CA1673F1A |
insert-timestamp | 1728970043.9026375 |
mimetype | text/plain |
source | snap:CRyc3PMhfCSITBgxznvDPPwK9acscVAh_9 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/examples/tutorial/gloo/outlined_cube.py |
FileSize | 3457 |
MD5 | 7993ACEDDE18B2CD3193A96C7130F046 |
SHA-1 | 03CE1553041AAE1758BD07AA2204D09B9AC3AF80 |
SHA-256 | ECD5CC891ABD1A954CF9FDDC145CE4FD82C677E2CD037ECFDF102DB240E92AA3 |
SSDEEP | 48:NaKrifgdegYI0H/JV+sOONKuL+loBUnDAoI+737gjlMM6AkSEgAkaL:DefgdegYI0fJMsOONKuL+loOAw7r72TS |
TLSH | T19361B612AC53D9585B87CC6F20C2BA03D3AFC457340C243778FD92199FD5A6482ACEBA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/examples/tutorial/visuals/T02_measurements.py |
FileSize | 8272 |
MD5 | 1FF4D9791AE8C62DF7B4BCC9B34BAB2F |
SHA-1 | 03DB4C47E80F74A4AC3C7BD93B55B934C2FB35BE |
SHA-256 | 28BB386BFE78D58E8FF45A412DDC75C149538455B41956076F1887D4036D2E9E |
SSDEEP | 192:j2Yw8RKygTGzoWCyXR/DnbMIFjWdgA9L3vbQ6ztXRX:jAK3UyXZDnbhdWdRvb1zbX |
TLSH | T14F02A5197E4D16358D03C12467CAADC5E31DD1F7232D9A6678FC020A1F88D68C6BEBDA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-vispy-doc/html/_sources/news.rst.txt |
FileSize | 1200 |
MD5 | 344C4DEB55A75F5DBF1080054D6638BA |
SHA-1 | 0407DB902843AC6437D2213681FB6E524390F944 |
SHA-256 | E88965EA572CFCEBDC5BB0EDB1968141C61D8BBA9D71C828DE76B01909AF3D9B |
SSDEEP | 24:JZQOhBZt2frBKlgOB9BeWBQSIE98bgOzOyS1nJ3oJeX04/+d7lBiQ/PwoZ4Zmtap:RBZYjB4gOB9BeWBQrQugOzOyY3okb/UE |
TLSH | T14721B0CD290037BBC22A46E6E1388216E7E7931A537B1C3F0EE0D1217A5B5685F4B861 |