Key | Value |
---|---|
FileSize | 2167992 |
MD5 | C7A2DBB63B45657F9EF7E01894B85ECA |
PackageDescription | Toolbox for X-Ray data analysis - Python2 library 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 Python 2 version of the package. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-silx |
PackageSection | python |
PackageVersion | 0.11.0+dfsg-1~bpo10+1 |
SHA-1 | 8462AEBE0A21DAB1F9FC19984CB28D6E68CD2AEA |
SHA-256 | 1A7A198A82CE73B3E5650952FF23BD99896190029E6BD6F3026025F55548AF7E |
hashlookup:children-total | 936 |
hashlookup:trust | 50 |
The searched file hash includes 936 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/gui/plot/test/testColorBar.py |
FileSize | 13251 |
MD5 | 8565F6869E4E52E47335D734B3D75EF1 |
SHA-1 | 00AB425622EB98494FF3F8ABDB4D69DD230FAC27 |
SHA-256 | E4839ADECA1ADA691B4CABD5FC638B4B41D36DA3B446A2E23DFBD7A7D6817557 |
SSDEEP | 384:CjS/bHCau4dupIEczq4daW19w1PcvR4dh2kFcOfi:4STH2K6czqKT19wFGKT3fi |
TLSH | T15F52AA11F2160E121723A8EE587BF3071D3B791B5C4FE65A3ABE81424F11369A2D6EF4 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/resources/gui/icons/silx.svg |
FileSize | 6077 |
MD5 | 924C28669AD461F38F4F96B38A47E918 |
SHA-1 | 0108F51C8D47E07205195AB3ABE679B5CAD2687F |
SHA-256 | 0E74CF335B1C95663516759E8B89AE621D32A1C71382FF49ED67C47B0EECE3E2 |
SSDEEP | 96:SwqTbzEF0fnET0Dhu4wTW/bNd/+xOKZmBPRiM:Sw6zE2wwhuRW//K5WPRiM |
TLSH | T14EC184DA275490F5758A93E8FF3A249A336FACFDD9104400329D5D04E7A2ECED521EC6 |
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/lib/python2.7/dist-packages/silx/math/chistogramnd.x86_64-linux-gnu.so |
FileSize | 359424 |
MD5 | FF0727F3D73BD3BF22809C3064FF4C98 |
SHA-1 | 0155A185D48D954CDB29DECF95D2C8FEECE8D410 |
SHA-256 | 2D9EAECE2AB927FAAF75CBB58F0FCCFAA5ECB2A984B6FD52021F5D2C6DEA864A |
SSDEEP | 6144:PXY/vh9Ob3hw3aIhvzFCMC6I/rO+ZCiBjW3xbi3:wAb3hKtzwMCDPgiZWE |
TLSH | T1A374E857F76370ACD166C43449BB75733C21BCACC1386EA620988E347B52A50AB7EF45 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/silx/math/medianfilter/medianfilter.x86_64-linux-gnu.so |
FileSize | 306616 |
MD5 | B93478CDB9C1EE3ED55264957016BC27 |
SHA-1 | 015C5666D32066229D259A2DC6B4A6C6EA2DE4DA |
SHA-256 | 1F2514213EF95C4C6F32993E82AF2CEB18FE371E5C0027CCD771CF4654867B65 |
SSDEEP | 3072:+d9OitTjcPExddwhZKLQ1gTyTCUNW2dA0DxEl182XrPNV3We12wMBztKrrjhgvDW:pi5dwhZGJUGlP7prwDCtZ2WtG+ |
TLSH | T192643A1AF7B62CACD577D8B04A9390726D30BC1442247BB721C49D713F43F6067A9EAA |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/gui/_glutils/OpenGLWidget.py |
FileSize | 14507 |
MD5 | B7FF529F1A68FA2786724B07ED150DD4 |
SHA-1 | 01C613EA195DC0F60564FBDFF64194D5FFFFC8F3 |
SHA-256 | 5D88758204321E0DD774F0FC99A64A9A97923404A4F9B0710BB7B519E0CE96C3 |
SSDEEP | 96:+qhKQHWSoK0P4W6S0vLFx2v0d1Eus07HAYPpCLvEAoXK6H/Wi5UGzMzS4GJtmk2i:+3QHWSN9WsMu9vpC2VHoyjPVvTMG |
TLSH | T1F7526355A8055E3EA30B8D9E0693DE3377565C1F9D0B223ABCAC91182F60AE0D3F1F94 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/gui/plot3d/Plot3DWindow.py |
FileSize | 3122 |
MD5 | 6C9F8D19993B309A976AC3A341D9A695 |
SHA-1 | 01F610159EC5912F6D126754D9637D3C00123817 |
SHA-256 | 0B4A00E22B8FA57950FB2666D1BEA0170E4E14688E61230474A359C107DD7951 |
SSDEEP | 48:DgsnPJWlSETfeQHW10s5R4n3o7F5F8ul4fY1h4AM6SiGU0T4irSRKDEAJ2Gxk:PqhKQHWSolT4wkF6SiGU0s1KAAJfk |
TLSH | T1A451A50A7362A622679F41F40092A60DB11F200FAC4F599C7CBEB3946F1A0FDC9F7995 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/gui/test/test_colors.py |
FileSize | 19044 |
MD5 | F120443DC75E565470320408B07A9CAE |
SHA-1 | 024BEAB51875059DF869C4DCC7FB7C499891669C |
SHA-256 | 508D321BADBDDB9504FE4B52789A0CFA70E45F15A6627C50E4E1233B8A5FFB2A |
SSDEEP | 192:P3QHWSPdy8G2GypjJgdWi1vDFFH+bvX7RRJqwFC91RHoeOUllz+TZETHETOmOZK:fjSFy8G2GgJgdWiVv0npkIerEZyHyP |
TLSH | T19782DD01D2524EA36B0354FD08BBD50A5A36BD674C2A762F3B7DD5452F1632AC0B2FB8 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/gui/hdf5/Hdf5TreeModel.py |
FileSize | 27021 |
MD5 | 3F363702AE8545D73B5A2F2370E01CEB |
SHA-1 | 0260783D09DD705E4A6E0A3600DEC223157107F1 |
SHA-256 | D3478A036A9B09BCD61B31B58E2E070275BE6C2E5FBC0632938CBE9924BF3101 |
SSDEEP | 384:LjS4Fw5qlgRMaVhIfiSqS9NEmE/K1gzkpa:vSIwEgRMchIfitsNI/Ym |
TLSH | T1EDC24016B505AE66E347DDA554AAED03A71A28079D0F21303CFCC9982FD843096FEDF9 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/silx/opencl/codec/byte_offset.py |
FileSize | 19627 |
MD5 | E1CD8961E44D11BF84EEF34C771106E8 |
SHA-1 | 026A75562055136E40A9C4EF46F18621C503D730 |
SHA-256 | B6AE7276D0D5601C6159640FF63D8285E62258309C44887972BA4BD98791F29E |
SSDEEP | 384:lVb2cdeTAKdVVV8kGuT0/xWMQse2VGwgUm93hZnowOmdMeb085g8SLKCOGVb6ebK:lF2cgTAKrVV8kGuT0/AMQse2VGwgUm91 |
TLSH | T11192C71AF81B55B21243A9091E2794271B39B16739086904BA7C5BD63F9C43EE1F2FFC |