Key | Value |
---|---|
FileSize | 11692000 |
MD5 | 58D2906AE9678DE922D1E2C9B74D174E |
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 | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-silx-doc |
PackageSection | doc |
PackageVersion | 0.11.0+dfsg-1~bpo10+1 |
SHA-1 | DF350149ACA0D4E495C698910C0548EF20D07F1A |
SHA-256 | 5808EB132A9243862B349D69CED70B5DF523C0ED983943CFD321C19A83672357 |
hashlookup:children-total | 827 |
hashlookup:trust | 50 |
The searched file hash includes 827 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-silx-doc/html/modules/gui/hdf5/hdf5contextmenuevent.html |
FileSize | 9970 |
MD5 | 28E380B531EBCD71B288F841A3F5E00E |
SHA-1 | 0051FB627706AF0B3D995DF166FFC108260AAFDF |
SHA-256 | AFF428604CEA90BF613D28AB2144AB1C91A891FE2E31B597779C33E1662B9493 |
SSDEEP | 192:KiDg5nzzVnBhdD7ZvRuitwCnq6bSy9LUrS7nB1dh7:RDsVnbb7j1U+7nXf |
TLSH | T18322106268F02D33951785DAE7E65B31BADB815BF5002D08F1FC0BBE4BC2E44654BE4A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-silx-doc/html/_modules/silx/gui/plot/actions/histogram.html |
FileSize | 24077 |
MD5 | 40CB622AD67BE8A53488DF6AC4F0BA57 |
SHA-1 | 0055CB3BC35258566700AA233102E46C403CE28D |
SHA-256 | 1BAB379FE81E531BA30D2E17F4A476983F462B4B6D8CADDBD1BA571E1933974F |
SSDEEP | 192:MiD+FhnTr5gHPe6AHEMPXMJ/YYwaOM2zOVaufOjUOOVawfOJqEZ2O9Vb+twQdOQd:DDuTF2a52hgnjk3xVngjkt44Cs |
TLSH | T158B246D0A5FBA173017794C316BE0B62B5E1482AE9861640B3FD87784BECE443857DAE |
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/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/python-silx-doc/html/modules/math/fit/fitmanager.html |
FileSize | 47614 |
MD5 | ABA5A2AD1F03A26CEE5BFF4041D05414 |
SHA-1 | 037D92C0562DC1151D2BF9EA1A267760EECFFD4A |
SHA-256 | 3CA3693CCB700D00C8CABE4456AB0D04789331C78019C8002919E65B29C958F0 |
SSDEEP | 384:lDCcnk44UfM7Jt07Ra6UM3DMg78c43vUn2RBDP7zhaMhK8X/nc+rE1S+Una1:lDvNpfM4+MTMxc4/Un2R9zlaMN/cEGE0 |
TLSH | T129234366C5A60933592781D2D7E80F3A79CE484FFA96048AF6FC477D834BC90B21B91D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_sources/modules/gui/plot3d/index.rst.txt |
FileSize | 624 |
MD5 | CA53E912EB0F8D6D15C6AF2381F09560 |
SHA-1 | 0383DBAC785A6313023E316634352803926A6DAF |
SHA-256 | 3E133884E05C9662A53967122FA1E0E4368F630D445826787F4924089D7EA3D9 |
SSDEEP | 12:0MSALXeuJSIA7cMIuvgZOVItEY8c2M6m2FW5/ItEGY:0MSAbeuAJ7zvgcdYH92oZh |
TLSH | T18EF0E142DF347F65833EC625E064837FDBC7118DD1400977886C02080E0C3B5C5CC981 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-silx/html/_sources/modules/sx.rst.txt |
FileSize | 1692 |
MD5 | 831D581AAD4039D7E4F1524068FC2A2E |
SHA-1 | 04046296CBEBCBF8420DC80077F5BC3D45799C36 |
SHA-256 | F453A4533056192A0E030F59E1D673AA71B057C66238544D7A0EECD9F5FA4B26 |
SSDEEP | 48:fCqEGb4KlBf6Fv+SycJCbaEVBf6+tXavOsIB9S:qqTf2v+SycQuCFtM |
TLSH | T14631A91D7EE12AE24163C234210F26CACB6C7165F7435634827A69944B29F1C89FFE3D |