Result for 71780B90FC337B425537AE32E0AFAF151377F27B

Query result

Key Value
FileSize115456
MD5EDC4A72A999CF94B4C59CCD3AFAB5D9E
PackageDescriptionmodule to access OpenCL parallel computation API (documentation) PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains HTML documentation and example scripts.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl-doc
PackageSectioncontrib/doc
PackageVersion2013.2-1build1
SHA-171780B90FC337B425537AE32E0AFAF151377F27B
SHA-256817B80BF29048028CACF3186B84A4E849B929BC21599CA4F3CAAE84761AA6DED
hashlookup:children-total52
hashlookup:trust50

Network graph view

Children (Total: 52)

The searched file hash includes 52 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/gl_particle_animation.py
FileSize6270
MD50DC4369E707F85D757419E12E1FDF48D
SHA-1051D19C173865D8FE00378765B7FB74837B20ECC
SHA-25635B51559E031A2AD646534EAED62914E6432FA37DDF729C83A41B5E276B15BB1
SSDEEP192:glmom2k5QMny15Ijp1RgwZa6lACDsE+RmFnvQc51BsPMl:glmom2k+Mny15Kp1G3E+RmFnx51BsPMl
TLSHT14AD1720691B6582B4A53FE9F9FDA991E03BC64273A80493EB48E02150FD7037D382ED5
Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/algorithm.html
FileSize33946
MD59BD54D0EFC325BFB635D0088654B72C7
SHA-10731846681FB42F7BFCDA24B5B733E4A659EEAB0
SHA-256A9713DF0A2AF7C06CAF401605E7B95590D327BD6B141C980B4CD4E0807F7E20C
SSDEEP768:oos8MfGX0sRQsp1prIoaUAfpDqdFDe7rgB:odfOk4N3ipDoFuQ
TLSHT162E264A0E5F69137043395D3A2FE0B72B1E2486AE5520440B3FC87BD17EDE91B81796E
Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/dump-performance.py
FileSize1176
MD5B1F87A738530288518046CAFFF25AA42
SHA-111F0A99DB7A09FDA4943897D81210D2FD592D231
SHA-256D52A53BF6F56A29FA76B9157E9EB11005F6CABC06E260C74AD39ABBE645D159D
SSDEEP24:1RWQVUoZt7XzFZKf6QBR2gbYsjBcjF+8pq4nF3OJNuCIM3hpNC:PnVfzcR2gbHjB4hOJNeoi
TLSHT18121AF99DC4C0C1466C5ED2AC4D9C40DF31CEA4BA364341D739D52662FC01DE81BEC6B
Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/download-examples-from-wiki.py
FileSize1517
MD53C99D54C77164BFB0AA621A12662C3BF
SHA-1153395528B8D81842C3B65A5F90226F5EA3FF565
SHA-2568F544C2AFD122888D513F451A9B4DD63E893AE11FBABA51C46F03B1B7006BBCD
SSDEEP24:E0rkCX9AhZkZkwcqjKrBYgoeBRuoRiXjWrnqrgtN3W2ixEbXqSSI9ZV:LgC9AhZIkh4qBYzeBRuNyrdN3WlEbfS0
TLSHT1D631017C40623004E6837A98AD9394690F16DA1BC3317539BBECC3928FF0A2A957021E
Key Value
CRC3298554491
FileNameusr/share/doc/vigranumpy/_static/up.png
FileSize363
MD5ECC373278454CC8ECC12D6CA69E55B36
OpSystemCode362
ProductCode187351
RDS:package_id222721
SHA-115B919F770C81058A273EBB2AA78FB501863C8E0
SHA-25636946056F97CC557C78918D50B635167168D5252523E61668746F3A64D1139C3
SSDEEP6:6v/lhPkRfCtldfSvmgMEpvcARt6eL6+dQQ0w5YQV2Re1glb6EnDTJf7BlmNm0kdp:6v/78fidfSvmJSvXse12Q1N1gJ6EnPpX
SpecialCode
TLSHT176E0C0C9ABA328B4DAC5D07B331B92331871014C9A0BBAAF3E5768DC471D6085D03F52
dbnsrl_legacy
insert-timestamp1727040700.5833828
sourceRDS.db
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/demo_mandelbrot.py
FileSize4976
MD5FADFB233876596F28EEEC6A97F638DBE
SHA-115F11C6DB3658AEFDD0E632FCDE085B731AFABB9
SHA-256CDA8AB381AE10AEE9C0BCEC092018B86199FD32FD9505B1695D41E17CEA13BEB
SSDEEP96:vwhtyfj36L51E/IUgBWlyKA9Dp7iJ74DLRIsAsfjI8V0OXcX6rNHNjOIkLFg:vwPyfj3m51mIU2WlZA9Dp7iogs7I8COV
TLSHT124A1C8164792022B5703E89F11EBA05F33AA6003C58D3AE5B8BC89459F9157A9578EF8
Key Value
FileName./usr/share/doc/python-pyopencl-doc/examples/narray.py
FileSize703
MD5EFCAD1AE843CCEB48F44FFD573701D2B
SHA-11CB415892C261E661DD091DC57A1A50A9B05D0D1
SHA-2567CAD092941C87373BF1DB7DC3DDCFEEB499F733630FAEA10ECB1E36682F6039B
SSDEEP12:QZ/2dUmJ3YxrPvQBRdg+m26MhYHKBEf48OF9eurPfsHO6nJLVStXHhTK8AwecUMr:QZ/2dUmoxrQBRKpQgKiqrnPUHO6JhSn1
TLSHT1B20197310C8E0CC2B242F86F963AE24687A89B1B25CC2866F87F53261F92521D126574
Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/howto.html
FileSize14594
MD51F91A01C61DBF1FD8A51CCE032B25AB8
SHA-11F9FD8D2184A4A3D78B0F9B30F14860FE298385A
SHA-2568FA70F2364AE3BB6CC38AAA8247BBECD3EC14393618E1EC94BEDCFD28590E3ED
SSDEEP192:W3vOgInXCa+vt+ISF36mYi+rgJL+r1XWpbF+ZEl+JY+sVhbaxhX1cBK1KonzCe:W1InXXJTM1KonzB
TLSHT111620D91E5F391774473D8C352BE1B72B6E1942AE48A0484B2FC87BD0BDCD84B90796E
Key Value
FileName./usr/share/doc/python3-pyopencl/copyright
FileSize7564
MD511ADCA39CC14465F420098DEDB4D5092
SHA-120D0DE6ABB95BE9DEB78DA87E35F9064D191851D
SHA-256B3B71F0D65D6CEA6805E417BC6183246D1A1EF17DBD7240BD8E8C749C43BC66E
SSDEEP96:k9P+4KQHLoPNvP/4YVsP+4KQHLoeTD4gPzHFcKQx6d/itk4XVhPkJQHPYO:aKQHLCNvPVMKQHLZDDPzHr2t64XyQHPr
TLSHT13BF1F92E73540337169623D27AA568C9B32FB11A777BA2C4B45CD34C332947CD2BB564
Key Value
FileName./usr/share/doc/python-pyopencl-doc/html/index.html
FileSize21296
MD55B716FAFB6004ECE74B25306D4851889
SHA-127EF1CF6C68E037439E21ABA29D21C2F3217B319
SHA-2567DC1A042EA081CA9793E74E8E676F53D3A26BD6346410BE0C001743572AE124A
SSDEEP192:33VSgonyYhQIHBSlP7gSlP7x+7+/+Q+KZfUV+KZfU++Ke3+UJ5MKnQS+SPiGwBR/:HvonZbwJ5O+QrdPxgE1KInR
TLSHT1FFA2BAA198FA9437013392CB2BAF1B39B1E7983FD1560511B2FC426913D9F54B903A7E