Result for 14B95F36CA1270BAF391173A44E1C42E76D8A98C

Query result

Key Value
FileSize363614
MD59CAD997197C2E06EEE31DB3D68B76990
PackageDescriptionPython bindings to the Geospatial Data Abstraction Library GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data. . GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS. . OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more. . This package contains Python bindings for GDAL/OGR library and a set of additional command line tools.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-5ubuntu1
SHA-114B95F36CA1270BAF391173A44E1C42E76D8A98C
SHA-2565016C1B7D726260981597AF05D88451ED6EFA829C7FBA6D9E6B514285EF6E7EC
hashlookup:children-total87
hashlookup:trust50

Network graph view

Children (Total: 87)

The searched file hash includes 87 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/man/man1/gdal2tiles.1.gz
FileSize1626
MD53981286695AFA546C4DB77AEA97DE771
SHA-10615E2371A65C5F4C262F012A5B26DADFDD01064
SHA-256EC8A6E142DCF07F653BBB717B817B9FA3EAD0B0F5DAA79D66AE49B642EA2F6E8
SSDEEP24:XLzgDiYM6kybcCqnMsgcqFI19m5HkH90EAFKOXEij7Hqm/hgPLV5nXI+j:X3pwbcCYMQoQJs/Km/QHP
TLSHT152310AC3C9F2E1ED2751BA400A116C110EF8245436C47A87E0178C95DF1AB52C135BF4
Key Value
FileName./usr/bin/gdal_calc.py
FileSize12871
MD5976EDAA7B7E4E78466A8B94F1F4392DD
SHA-10DA847A4A3ABAA91A9D3D2C61EF585E7DA52B394
SHA-2567D978E4B123BFE498FB8C8DC8ACE1C32048BC4B2CD27D372A62799D4242C708F
SSDEEP192:lOaQHLX3TtyE7wYr3jlpoQ/5C78U0eh91EK5nLyaMi:lOaqX3TtyYl55C78U/h9+eLX
TLSHT1464286142C600D3467C362DEAEC6D0C5A77A65376E931249B4CCF2907F1CA25F6F6AE8
Key Value
FileName./usr/bin/gdal2tiles.py
FileSize101711
MD54A77ADED00B698528CDB790201D61C04
SHA-10E590D9989999682F78036CA9C31E2CA0CB81432
SHA-2561BC3829E294DF0E8C739E3A9B2C353C465F81A2B6DA6FC3B9CB092A711FE86CD
SSDEEP768:mpXi3SBE4MXTVuhKYWlmY90UCmtZvnKSSrdkg5EAPrvjULxXkiqbvP19zEJINBgF:mpXexuFGmc0UC7jPsJu11EJIvhqsu
TLSHT16CA3F65E9C511725D343E16A2EC7A4C3E72A8527111E653838BCA3986F14B34A2FDFF8
Key Value
FileName./usr/bin/pct2rgb.py
FileSize5409
MD5E115FD324601E499D8B1353F38784273
SHA-10E9307C0649E00B2DECB0D49B61A6B4B10F4BD7A
SHA-2563322B1CF71B6F9271551ABE6CC05A72E55887405F96717D9C28FAA0739F20FEB
SSDEEP96:waqnsyQHLoNsCc8bsjDm9YmX9P9p1DlEvEvEUTjHQKGQCw6BADr:whQHLL9sYmt1p5KssieQCLKr
TLSHT11EB18448AD6C4D22D353E8D538D794CAF7166C672F031528349DF280DBAE734A1FEA28
Key Value
FileName./usr/share/doc/python-gdal/examples/ogr2vrt.py.gz
FileSize2016
MD5D36BE11A0968CF087B25E7C806DF1D1F
SHA-113111FBE155093AABB3BD79C52AD967D7EABAB7A
SHA-25620E95FE278E151F078A61C3D5C5B767BACA7D4115BA48A89A9A912B2A210EF60
SSDEEP48:XIQnOFQynH6znCnBnHRmp5jkPz1vawfyAUmXkeP:F8HDITjQzgw6cJ
TLSHT190416E482E24D7CF20CB302122EBDC7C3E6F544B96492A7D1661367AD5E4EE416C1F2C
Key Value
FileName./usr/share/doc/python-gdal/examples/ogr_layer_algebra.py.gz
FileSize3677
MD559823BE8F8ECD95283958DA9DAEE6DC6
SHA-114C5B18F07E408CA7A736F3A51D4E41B5DACCFD2
SHA-25648A9955D8AC02BEDB39FEDA2B6E4BC6A4BB75E29281A95759801C18269F022E7
SSDEEP96:u+iZEh/TYvxUgIziMaazv6UGTlpVjjWGBGCj5xO:u+iZeEvxUgIzNaaz5GTlnKGBGCV0
TLSHT176718D18D1AE3969DE1B708528A0E673C5B148E1FDB9BF486939C71FA08048563F478C
Key Value
FileName./usr/lib/python2.7/dist-packages/osgeo/_gdal.i386-linux-gnu.so
FileSize288292
MD54D33989CEDD0E9A11DA3D0D4AB4DB703
SHA-11663CF9A63D79DF3D5821F24366157359DC56363
SHA-256CB85CA0A09ED10771C9861459E604E7FCEC2371D08E27E90A2D56FF5C8F36DEF
SSDEEP3072:F8cwy1W5vjx9xIMcAeDdIRDUAeECZk4ue1yF9UT/u50NHOm8+hISJj:T1mBEdIRDUAeEkie1yF9UTGgISJj
TLSHT1EA54FB40F50BA4F2FAFF12BC81FBF72F5510971181DBAEA299E43F12B6338125429695
Key Value
FileName./usr/share/doc/python-gdal/examples/crs2crs2grid.py.gz
FileSize4100
MD559B9626C5788EA9868BDB39077A36865
SHA-1169688F471D50FDB6783F258BA0CD75F2CD68F8F
SHA-2563D29C09AC8182DA3FE019D5DD8378556D87751BE2132C2E98D1567B89304E27F
SSDEEP96:MzIrZobvVQtAxlETk9dCLKdRhKEdC8ztNWeAh9V:M0CvVQCUudRh/dCM/WeSV
TLSHT17E816C6901602E07CEE21B4A5D2625EA0C70087BFA287F3B4D7461270BD1ACFC1BB947
Key Value
FileName./usr/bin/gdal_proximity.py
FileSize5574
MD5BD9C6E71CE64983EACB2226054C1AD97
SHA-11929851AEFC65C1AC6E63FE59C8C16843A45871D
SHA-256F791292ECB590747B0D913CD6311E82AC262C036AB101BAF7F7537008C7EA317
SSDEEP96:4Naq+syQHLoMi1hjDm9LnUT9vhV9Pd1XHiX9P9rdtBEunojrp:4tMQHLLinsjwvhV9l1XHit1rrBEuojrp
TLSHT1EBB15F4416AD6E21834399CA1CEB94C85475B8773B021A28349EB6C88F3D735E3F2A35
Key Value
FileName./usr/bin/esri2wkt.py
FileSize2107
MD5B710DF8D3ACBDCCDC0BE9640ABE06680
SHA-11DC68B4A93BA849457671E9F2254475239CC92AE
SHA-2567FE18C811BA457F1EF7DFF57DFA68D758644A4256B8202CAB3AB2BB4E0563260
SSDEEP48:OFj3ITvGLJ2kvEdwQHR1s5VEH3o7FHMlkTrLjz2o:OFj36MsyQHLoakTTCo
TLSHT1C841B91B79950FB2259306D848AD94CC611EB55B392A3784719CF361272F019D2FBD34