| Key | Value |
|---|---|
| MD5 | EE8022C2414810A438747847C6A4D031 |
| PackageArch | noarch |
| PackageDescription | Visvis is a Python library for visualization of 1D to 4D data in an object oriented way. Essentially, visvis is an object oriented layer of Python on top of OpenGl. A Matlab/Matplotlib-like interface in the form of a set of functions allows creation of objects (e.g. plot(), imshow(), volshow(), surf()). |
| PackageName | python38-visvis |
| PackageRelease | 9.36 |
| PackageVersion | 1.13.0 |
| SHA-1 | 374A33A3C78D15F4DE2A1814585D9D200FC9E1D6 |
| SHA-256 | 8B7798927E2B7EF21874CD61736AF1EE518DF6ABA19E977D4EB944A4E471C6F3 |
| hashlookup:children-total | 516 |
| hashlookup:trust | 50 |
The searched file hash includes 516 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/functions/__pycache__/solidBox.cpython-38.opt-1.pyc |
| FileSize | 2687 |
| MD5 | D66B801CF6944A2406A1EFDCD272DD5E |
| SHA-1 | 0017BF23C208B5726044CEC9838B647144689218 |
| SHA-256 | 0C91875A8432598C14F76BC34037900452D35ECA3E83321D50C79E500DECC057 |
| SSDEEP | 48:2+TmEtmjFYlRmdG+duh/MWGulY1VlwoeWrWRlGEzzUW2xBH5vGlXmPMkqCDM:2+EhJc5lYYRxzX2zHtGoM |
| TLSH | T11A51634F7C40A24BF552FBBA46796439E0FA055B7B387039358D80C84F26EA40FAB649 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/functions/__pycache__/screenshot.cpython-38.pyc |
| FileSize | 4367 |
| MD5 | C486BB49D22C9C2213BCB18680B3492C |
| SHA-1 | 00239D418330EBEBCCD85EB4723A09E87C4FBEAE |
| SHA-256 | 60922516DCDE8DCAF6A8939B7D0031B648D8CD5D23375ED613579F6E95CDD782 |
| SSDEEP | 96:GNtvKC/kgckZl/qOqsv5XMWv9wx2T5/stv7BMbfieNCui9CiLos8w4Xu:stvBP/qyv5h22T50N7imhuiHotP+ |
| TLSH | T15091E9AD1D022A33E314AA757E8C837CDF26549F3A41E257344E201D6F167680FF65B8 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/functions/__pycache__/isosurface.cpython-38.pyc |
| FileSize | 1564 |
| MD5 | 844AA85F4970D3E2C75F5B9F6E67C63D |
| SHA-1 | 0087D19B2B1B561043F4E9A4E95B7F41E44749AF |
| SHA-256 | CD6EC0D9A179D8B68B54BB1283A181AF4B62F465FA6F956D265F9266A91113E5 |
| SSDEEP | 48:GWMxSQvMxRlzv/7WLdSDtRWbih1XRuXtr5K:ZMSQvMRlzviJSKmHRKs |
| TLSH | T10431650ADD000776DC538B74A82F45B1C7E808EBE436A6887E5CA49B6F449F405FE2D8 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/functions/__pycache__/solidCone.cpython-38.pyc |
| FileSize | 3230 |
| MD5 | 8F347C28D775EA8C55D3562207DC0157 |
| SHA-1 | 00DB2B1631365954BCD487244CD4B1EECB2459ED |
| SHA-256 | 07633E3C322467F3AC786E17C33C41BA927B37764D55785569049D16FA105977 |
| SSDEEP | 96:aaaMwE2mXlR5lYGPyRxzri+MrvpVyWC9X:TaMwETX5KTRxzri+6VS9X |
| TLSH | T1E661B98F7400C3A7D45346398F691119D275903B2B6876287CDD406C5F35AFC5FAB70A |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/examples/__pycache__/drawing.cpython-38.pyc |
| FileSize | 2679 |
| MD5 | 2B10BFA66968D963A812937F79D8D75E |
| SHA-1 | 017BED19F1744B98D8D6113C33508DE8B9A6E958 |
| SHA-256 | 9388385A1D15CF2EA2F286BACA6D8AEFAE83F02D4B524290EF06C3AD3611CC74 |
| SSDEEP | 48:BbUHu9igNpGi96CclfxXdme4uFpWQWweNY3t/WQwZwNgVLOmmM2nHlz1KMKn:p0uPVAmR+WJweiB4LOZ1ch |
| TLSH | T16251A3CF99414E9AFC2BF3FD621D1764D92002BE122DC126299DD3AE1F0E1D96E611CC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/visvis/examples/text.py |
| FileSize | 1532 |
| MD5 | D37199B06A79DE1AD139775F11DAE4E7 |
| SHA-1 | 01C22877ACA2FB1C6D1298A1119C77D7DE5BF5D0 |
| SHA-256 | 69C7A23B5EBD7CEFA124C10AE39F9B9A5CC9BCADE9979028290C8C4B3E3A63E8 |
| SSDEEP | 24:lbPFpo8v2Lzmsm1L3hctIzctaEcSTmT1QtSRa0LcAZ7D4kO1L3Go+0d:h5v2LGhxcU4tQjZQ/h2oT |
| TLSH | T17F312E1A578E23D6DD35CD9C21867892AA74C9A8720AEC2CFC9E090A37C8401D8F4BE0 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.6/site-packages/visvis/functions/use.py |
| FileSize | 1778 |
| MD5 | FC478FDF9CBE9BF7B134ECE20432922A |
| SHA-1 | 01C56031819E8500EAE500856E372680381B99AF |
| SHA-256 | 0A284F5773E4FA357091713A7D1E38250521AF0811FF8A698D1B9C17A2E429FA |
| SSDEEP | 48:pKrrguD5GGJFswI60EayJgeINM7nyGh9GzZ/Ck:mcuDvgIzayJPISDkgk |
| TLSH | T10631101BEF4571654FBAC03E39B592E5C73D443F126B4450786CA85C0F15A2184BEAEF |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/utils/ssdf/__pycache__/ssdf_text.cpython-38.pyc |
| FileSize | 11262 |
| MD5 | 7A74FED5D677A0AAC3B7D69A3965AC18 |
| SHA-1 | 029D0B65C9BD3BF4E81FB4E7052C13C6C0EC6936 |
| SHA-256 | BFEDE9C491096D12C4A46C296CCA1C7A495DDC40E874CCE3223CF2891BFDDD72 |
| SSDEEP | 192:ZG4tKMC8p0OA6hb/bttZQJqFXE0ksOmEdhv1RMLPgymNT3O95:ZG4tKMFps4jtLOqymEb1RHymNTe95 |
| TLSH | T18732C5F054D5A8EBFDD9F3F4AA46020CE524D37B13996692B60EE29A0F0D6CC29611CD |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.9/site-packages/visvis/text/text_freetype.py |
| FileSize | 24977 |
| MD5 | 7FB583598BF4B891261F3254E3372AC7 |
| SHA-1 | 02A66CFD9FBDCF3DF2174662D795E89404E83875 |
| SHA-256 | 75F271C8508BE87EBF167FB547006F5CDF802CA08AA7C4295FC53E4517B47138 |
| SSDEEP | 384:w8XUjP2e23aPqhIi+xnYacivwOJKA/ETaemIOpdSgrZSjk94p2UXXfNiNH:TXUjAILciwOJSnja4UGvNiNH |
| TLSH | T1E3B2D9266A166249A603C49B3683B003932D9C6B5709DC3A799CB2546FC1B3552FDFFC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/visvis/vvmovie/__pycache__/images2gif.cpython-38.opt-1.pyc |
| FileSize | 25220 |
| MD5 | DAA10A4DFE0841C0C615CDBA1867CCF4 |
| SHA-1 | 02AB7A40A3C257989ABBECF85FCC8C77291B3E2F |
| SHA-256 | C26C31DCD7C2290DDAB36FD9D5C44480ED971AAF1E9A33332EC15E3EBA8F90E3 |
| SSDEEP | 768:zn+WYdj+r/hlRtBWLhhtl+8UbGpWrb8rVB+H3wovwCP:j+Wa+9lRtBWXtl+8UbGsrQhEnw2 |
| TLSH | T15DB22A952E801A2EFF22F2F5644E82A0D73CD17F225D8311391DA1692FA65D01B78FAD |