Key | Value |
---|---|
FileSize | 13132632 |
MD5 | DAB34957B78E68D62FCD33E67E7DDA37 |
PackageDescription | Toolbox for X-Ray data analysis - Documentation The silx project aims at providing a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. It aims at providing reading/writing different file formats, data reduction routines and a set of Qt widgets to browse and visualize data. . The current version provides : . * reading HDF5 file format (with support of SPEC file format) * histogramming * fitting * 1D and 2D visualization using multiple backends (matplotlib or OpenGL) * image plot widget with a set of associated tools (See changelog file). * Unified browser for HDF5, SPEC and image file formats supporting inspection and visualization of n-dimensional datasets. * Unified viewer (silx view filename) for HDF5, SPEC and image file formats * OpenGL-based widget to display 3D scalar field with isosurface and cutting plane. . This is the common documentation package. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-silx-doc |
PackageSection | doc |
PackageVersion | 0.13.1+dfsg-1 |
SHA-1 | 76535F7F06B2E8B59880C174F75AEC6686F66B15 |
SHA-256 | C920A5267868955FA7EF47B9077F885D9CEF62463027B246FF49CB8673E7DF7B |
hashlookup:children-total | 870 |
hashlookup:trust | 50 |
The searched file hash includes 870 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_modules/silx/gui/plot/ScatterMaskToolsWidget.html |
FileSize | 100307 |
MD5 | 451E0A579EB00748F76D0E38267C5589 |
SHA-1 | 002359491B2F0D793FB9A806D1F7174E861E8CBC |
SHA-256 | 9140E794B112D5EE9A5BCA1AD443729FB925B291259F91396A1F0A1F0859AC30 |
SSDEEP | 768:oiDcLzl0fsT0bnkFBiefAJYZAR3oC75ce6cjWsGP0e+C7gPjnE:lDcLifHkFdfAJYZARYC75k |
TLSH | T1D6A389C0E9FB9177017B94C312BE0B62B5E1586AE8960541B3FD87780BECD943847DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_modules/silx/gui/widgets/PeriodicTable.html |
FileSize | 136538 |
MD5 | E8DB3FB1F11D72606836CBCBECBAE8A8 |
SHA-1 | 0085393C2ED1620076EB56060975B01377CF2BE3 |
SHA-256 | 4CDAC4D5359F9D51F08E946EFD00712550C0C32FEAE7B139DA64950BCCB9A841 |
SSDEEP | 1536:PD+3dR6KSCqqa+cCnqcjokv/xFQuBZoNPuXk/ypvuuvR1/NouMDju+9x:PDV |
TLSH | T1ABD3D1D0E9FBD173107BD0C316AE0B66B4F11929E88A0684B3FD96B807ECD547847D6A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_images/median-filter.png |
FileSize | 694 |
MD5 | AB40B29B674CC54BBB2F0F1FD71C4FDD |
SHA-1 | 01215AE66144D0CE6DAD2FF6E6DA06366E5A3A2D |
SHA-256 | 1154F14244EB6C89812A923CCE77C50E30C2D4AA6C01C69C339A48A5472D24C8 |
SSDEEP | 12:6v/7ee/WLUZ2pFpu2bMO1SJf1r3uwPtWWWw0X7I3UwjqRNR3XiD0V9br:q/qU0pFjbMOS9ht+X7IEKqRg0b |
TLSH | T17C0144DBB07E7C8CCB0A251312584409A22617AA03098E854A351E29DA817E7A5656E5 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_sources/modules/gui/data/index.rst.txt |
FileSize | 309 |
MD5 | FC7890A03D9AA2779A92F53303377E22 |
SHA-1 | 01F60DFBDB4EA4DE59BAE01C30D176356A2C31F8 |
SHA-256 | 5855B69B54C410B31905EB0C5D74BF39E8EFF77E1190FFF86DE3929096EC1D8B |
SSDEEP | 6:0YJH5wOVCw11IxpSL0B3LLeIa4EtU+dsn4/sngOyGkXWJ:0YV5yw0SL0BmIa4EO+q4EgvXWJ |
TLSH | T104E0C246FF30BD32801FD5A5A1A850A1CBD9324BE0040693644D00800F4BC71F2EDF05 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_images/StackView.png |
FileSize | 126723 |
MD5 | FD96AE606353E32B0CE369AD55BF60F4 |
SHA-1 | 01F6FC41555544C36FB94833E3CF0E2E621C1593 |
SHA-256 | B28836DFCAAC76B51D3A6B50B92B15FB971EA4D2999B53B19FE24FB86FE1CDBC |
SSDEEP | 3072:yGmB7aDVqD9N5IhAAo3BIpoh7HkV3OMisY:BmgRqfkAAo3BI07HO3aV |
TLSH | T158C312EDD695B766EF73C018654B8E9460646810DF36B2803435CAEDCFE9103DE0EAA7 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_modules/silx/math/fit/fitmanager.html |
FileSize | 143159 |
MD5 | 22F17CEA86C202632A4EC0C5AE39D160 |
SHA-1 | 0215E606674116E5FEFEB3D42EB7B158C8B9C4DD |
SHA-256 | 579F33F3C45CD89B2147787A380424C2C1624890E78163CE6D253EF8F5A2C451 |
SSDEEP | 768:CiDuHnFn8it5eSCWoSPygXfcz/BaZREZ2vRRANSsm7ulpqYo/Z/0So9/zW5/zlo6:bDuHCAeSCQcImNrJh/zk/zX |
TLSH | T12FE3F2D0A9FB9177013B94D312AF0B66B5F1096AE89A0540B3FE87B807ECD547853C6E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_images/item-1dim.png |
FileSize | 674 |
MD5 | 0BF7E5FA8959AF49EC4445A63DB8DBB2 |
SHA-1 | 02B2646293D77A34021A0FBA6AA554DB867CE1DE |
SHA-256 | 67927A81156A58E0DE0C540A6F1E536CAA6CC3D676B1029350BE20EBD936E3E8 |
SSDEEP | 12:6v/7i8UsMpZsRaHSHozXJhM0ki/422YwPvygytuT631S9sDdMVkYbH3v99hvKUWb:CUsgxHSHCM0kinq3T6lS9wdM2E3v9zv0 |
TLSH | T12301CEEF340F74ECCC056575920309E045B37A3D1EB05D2D3314F11106B655D68D3AD4 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_sources/modules/math/fit/leastsq.rst.txt |
FileSize | 382 |
MD5 | 43FDBE7ACC70E678E8CB6359D61AE8B6 |
SHA-1 | 02F016B99D3F268DA9D7F79278B4A6E47FEE2658 |
SHA-256 | 25748A73D820EA9DFEAA27B6129CDF6C335052000AFFFD5175F784E0E7324B27 |
SSDEEP | 6:0vZcw2WqERpSvZqhcX+YY23von2w6GV7+EpboZqhAJpboZn4JTt:0Ow2WlzSrPoTtgEOJcwt |
TLSH | T1DCE0260D4E2225B2D053C278120E31D7EC22A1A197A2102AC27D3B548A4DE5CDAEFB0E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_images/plotItemsSelector.png |
FileSize | 26989 |
MD5 | 0F57EAD04AD75E2F83032A4B42F14607 |
SHA-1 | 034B0AEDD3D7723E520BEDF0D246479C5D5324B6 |
SHA-256 | E4F2B96EB40D77208A9276ECAF078821686CF91DF5AF536FFFACF7D4C20B1575 |
SSDEEP | 768:p46ie7fwRZ3cuI5pNMfzacTOWEyUuVpDRDDd0Hf:rPbc5cLvNqzacTH9UuVpDRXd0Hf |
TLSH | T14BC2D1E573699135BD8194BC488A35EBBD823C4293ECF5532A1649DC8F12FC017F661D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_modules/silx/gui/plot3d/scene/utils.html |
FileSize | 102682 |
MD5 | 4F1A8EC715333F6F3EB386E71F5C11EF |
SHA-1 | 0379613F0F5C44B9631CBA04764F07EC848F2603 |
SHA-256 | A1878A16E2465A309F114259FCDA708C65DD0CCF297FD238F824EBD5B99C88A7 |
SSDEEP | 768:KiDIo2NpnepqclJ4e8Xiad+P8AthrxzrG7HDzcdby/Q17Iduz3HKbvtHKsdvkboN:zDIo2NRdinqKboMakxSnd9Dp |
TLSH | T1D9A3AFC0E6FB9077023B94C322AE0B72B5F1086AE9960541A3FD97B807ECD547857D6E |