Result for 00FF21E0A83645A518DFFE9521F30812CA906E7E

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Key Value
FileNamesnap-hashlookup-import/usr/share/doc/python3-gdal/examples/vec_tr_spat.py.gz
FileSize1794
MD59B0746479AAB4508AA3673A174142AE3
SHA-100FF21E0A83645A518DFFE9521F30812CA906E7E
SHA-25626054DCB89E4DA09DAFC7ABA1BFD87B63DC215DAED06209D925DA9BCA4E80284
SHA-5125BFD67A6DF8CC3FA5774134A3185C4E310A7509BF3FEFAAAC52BE075DED96BBD3787F9D6F80EC01C29A5694B55538F8D9373FC00AB4A609B67EEA39FDB77733F
SSDEEP48:XQb+CPsCrNRgVle7LX9CNXf1UJxWrBvBFqPvYT:daNRgVsj9CNXqrWrDFqPQT
TLSHT152314BC9C6FB05297CE1EC90A2E3E19CEE1E72060E02D351377481F92605E4A83FB162
insert-timestamp1658884070.2667298
mimetypeapplication/gzip
sourcesnap:43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_174
hashlookup:parent-total15
hashlookup:trust100

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Parents (Total: 15)

The searched file hash is included in 15 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize943500
MD50C2A9ACDAC828DE49215F8CC78D30797
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-1E79CCD6F219E573A00705E41C50466C1B97166CE
SHA-25695D55BEC33FAF38F85EBD276E63CBD24576D817B8D1433E42CAB0A3BA3F57C4B
Key Value
FileSize997368
MD5A965E2086FEF4A47AA905D0DF897A46D
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-17D53346153E944DBCD516538C548BBA06F9B7C4B
SHA-256B2A45383EC6A2385AF139D3F3C439BBF7FFCAD6F4B86A31ADDF49051FD8FF6FC
Key Value
FileSize980160
MD5BA750BBE05BFF2307B3DF04A5163FD62
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-19C86C044FE81B23B4DC549432F6ADFE979EEBF25
SHA-25619B288A580E9E8DBDE2F7353D180084DAF780CAAD4C9CDA007D12F53B7001ABD
Key Value
FileSize996948
MD5B6C617C7869C09B7227C2A94F87F24B5
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-1F0A428E19E5E71A4EFA628DB1D0C54D512EF5489
SHA-25623FD9CE8F10EC2C37F4E912654A5CDB46915D8E3B1704A2A4E8253365916E241
Key Value
SHA-1FF7E607CF22FF15D2F94E46886DB834D5E95805E
Key Value
SHA-1A3002BC53D8971E05489121E0F6DF44BC5D4029D
snap-authoritycanonical
snap-filename43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_152.snap
snap-id43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_152
snap-nameopendronemap
snap-publisher-id2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-10-30T16:54:38.818838Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_152.snap
Key Value
SHA-199824AD88099C80E50FEB3F4B61C36289ECC3A3E
snap-authoritycanonical
snap-filename43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_174.snap
snap-id43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_174
snap-nameopendronemap
snap-publisher-id2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-10-30T16:54:38.818838Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_174.snap
Key Value
SHA-1648975DC98FD073DCA286E381EFDEC52ECD746F9
snap-authoritycanonical
snap-filename43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_162.snap
snap-id43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_162
snap-nameopendronemap
snap-publisher-id2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-10-30T16:54:38.818838Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_162.snap
Key Value
SHA-187DE638E5AD9122C23BDCD8CCFDDC23180EF1657
snap-authoritycanonical
snap-filename43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_151.snap
snap-id43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_151
snap-nameopendronemap
snap-publisher-id2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-10-30T16:54:38.818838Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_151.snap
Key Value
FileSize946256
MD5A9B6E00FDE5F06FE53040AFCD0B1E762
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-14E989A2AA49CE42F3A378824C9F6C5C88848DE6B
SHA-256E94623BEB166C414D2091660C7098FC2670205AD520DD44DC4AC1ABEA68E0FCD
Key Value
FileSize1023732
MD510A937869C2BB99C8A7A1A1906B6F0EC
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-18D1A0D06A576130BBA7C7E6ED93DCF5EF85842CD
SHA-2563D8F3E1C0A31721EA53B59F1B878F71CB4F0A2CFE877B1E755845E25A15BC466
Key Value
SHA-1E0F828A97FF27BD154D42FA773BF4B1FED60796A
snap-authoritycanonical
snap-filename43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_172.snap
snap-id43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_172
snap-nameopendronemap
snap-publisher-id2tDk6GQxoSAqfH41elvtwCE8trFcE4Pu
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-10-30T16:54:38.818838Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_172.snap
Key Value
FileSize1041108
MD5201E797F966E3782ECAE24477488B28F
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-18BDB29DAED3DB05A66FA33B5948914BE33933C18
SHA-2569A234A26E9BDDC3BECD66F479D18A58A58E5D98C7A329E329B57E6A4A4ABE934
Key Value
FileSize1028300
MD5F64615A9B837911FBBFC07E38055395C
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-13EE6AAD5DA9FEC2CD2FB32C0BC19B127FCF2AC21
SHA-256A2C387603778EBF60F441B5EF35C97C3FAEF6F15F6FC0155663E3706A6E47A19
Key Value
FileSize1001836
MD58D706CA7AECD81E95F7AAF696628F239
PackageDescriptionPython 3 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 3 bindings for the GDAL/OGR library.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion3.3.2+dfsg-1
SHA-116EF3C7D01EC4857A1D2757A325DFD1AEF372714
SHA-256959577C8DF08FBE8F7348001CDBD52BC387A8B75652901EA0B45E4312D79641E





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