Result for 2AF0B684B53CA6042D9117F5C784AC3762E2EBC5

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Children (262)

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Key Value
FileSize6182860
MD52B0E1F9A743EBEEF33AB648718C45EB6
PackageDescriptionStreaming ETL - Geospatial ETL framework for Python 3 Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion. . It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized. . Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server). . This package contains the module for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-stetl
PackageSectionpython
PackageVersion2.0+ds-3
SHA-12AF0B684B53CA6042D9117F5C784AC3762E2EBC5
SHA-25607E562C9B1E3709F26614DF64E07B15A02C6106C5769931457B70C06A859336C
hashlookup:children-total262
hashlookup:trust50

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Children (Total: 262)

The searched file hash includes 262 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python3-stetl/examples/top10nl/sql/create-schema.sql
FileSize550
MD505E928A68D0C67B8D0250ED6D4BFAF78
SHA-10134EA736797E03E49FE48A563C551A0A9914EEF
SHA-256132BF31BA30C59DE75B83BBD6AD131F915075D12F321168DF76D037422099CF0
SSDEEP12:rRfeVUEdPC5Lj8EnihqxzHD1qLZgYumDBWOEztg3sB9uK3dPC5Ld:FfeKE6ToAZuXvBqtgcB9f36h
TLSHT108F024DA32B77911B57592260D6A00C15D83E02B0234CBBCF86DE02C4F89845939909A
Key Value
FileName./usr/share/doc/python3-stetl/examples/basics/12_gdal_ogr/output/cities.geojson
FileSize3954
MD5BE071A565B9707415285D96ABEAEF80E
SHA-102503AB6B3B04D7CECB43AB1E2C1A251E8732B8C
SHA-25683EBDCF99E4AABD582F6A58FF69F25BEB15E0B6E8C2B652CD007CD0EA3E95AF5
SSDEEP96:+Z4zVGg+EZ4zlG7xxYG4zVGgvnzZ4z0EA+1Z4z1FN1k7:+ZEVG+ZEeZEVGAZE0EbZE1pk7
TLSHT13581470AC4784D5384CA207141B7A702B854160B6D513C547BDC6BAD8FEE96F2CBD75F
Key Value
FileName./usr/share/doc/python3-stetl/examples/basics/6_cmdargs/input/cities.xml
FileSize351
MD51D86D5D0DBE1CC6A6E44918E155DF6E3
SHA-10251974FFEC3DE489EBF84B34F9E5004D37F0C8E
SHA-2563A590C471FC9C11175305C9EAE48DE7ACE374C1EDBB3F59C6F7459EC8A444807
SSDEEP6:TM3iWlbCFRUOleRmCFidUxK9+leRVCHUtpleRBCM4:TM3i4bCMgOtTMWOI0NOk9
TLSHT196E012C272F8A015355068C80F37865B6E94658F1258207DB28CEB304F499981B43454
Key Value
FileName./usr/share/doc/python3-stetl/examples/basics/12_gdal_ogr/tolowerfilter.py
FileSize895
MD5EDB215C66A860A7AD54E062FE16B65CE
SHA-10315A31907B9CCBCF56635ED25A99A4A28DE76F1
SHA-25636CDA04781A0582B7B2D772FE5CA43198FDCF50DF8097BF7363F5FA191FB4EEA
SSDEEP12:icKy3E4gLvQr7crKd8P/Au5y1Ax7Q9Ax9K9K5kow40FxEOgwM19x9iu:lrHgLvy7x6qAxoAxccus8xbg5d
TLSHT15F11F111FA16EC3DC2B781FF71A64039BD6D79D751240238B66D93183B93820C0469CF
Key Value
FileName./usr/share/doc/python3-stetl/html/_sources/using.rst.txt
FileSize21474
MD572C03BCB9DDA483CA2F5A6B47EDD7CC9
SHA-103D373CEE46054FACBE04A792D223F1599B1B3D6
SHA-25615D941B22BB89D8092C15498C9C1C702BAD64454212346B6E9569108C912C7B1
SSDEEP384:CI9Z1mpzf7m2MOl/X5niXwbHYKli8q4gPJ0jpwc3XpTTHB2tZ0:lZ1mpT7hMOt5tHYK88q4gPCpwc3Zvh24
TLSHT18AA2D727EE8467394243D0E6BBC951D9FB31C0F8E7911A2670BD4509A30792563FABDC
Key Value
FileName./usr/lib/python3/dist-packages/stetl/main.py
FileSize5687
MD54992C819B2D02B332FBD3E4562CAEB14
SHA-10408D27511E4EA7B2A9FA103AD99FC3D985807BD
SHA-256252E2A1BEB8D022B24B85A76F73748743A37792D808D20BD633ECEEFA65D83B8
SSDEEP96:W91XOVnzm8hpFpOvel5F96K9BBQ9ltnZe3i0lJXcZkyFIm6UEi:WX6nzm8h/oGl5F0Kdhi0lJXmQji
TLSHT18AC146221C54293B0783C99FDDE6E425AB67264B37953438F5ECA3092F1493483BB95F
Key Value
FileName./usr/share/doc/python3-stetl/html/_modules/stetl/outputs/standardoutput.html
FileSize8331
MD5C7CFDFAE6B283DA4A1D47E41688F8EAB
SHA-1044586DBF3109805C04A438F15241BA21F905412
SHA-2561F0CF08F08E3D161E216093331FF9AC61B54F137783BE42672C5CF35D20DF7F5
SSDEEP96:kFkDmwQND9UjmavcaSBP5JgQMhpN5CaESGsJgQMppN5UUNDtjmavcJ:2zzMKBP/fMLNkaEWfMTNpSMS
TLSHT1A902E0D1A9F690730037C4D762FE1B26B9E6482AE596190073FD8B780BDCE547807D6E
Key Value
FileName./usr/share/doc/python3-stetl/html/_modules/stetl/filters/gmlfeatureextractor.html
FileSize11158
MD51ED396CB7F90FDC7BDE07B79090A9C20
SHA-1052617105DA3CEEDA6F71A7573940F6ACFD7A07D
SHA-25641DC6599A5C6F1B2051D0E52123128B85C528A2632F093D1E82D382512592707
SSDEEP192:FzzMQZPT8/cfMPMPPlQwS9QBZMHuV5QeuMucxgJglLAPQyIT0rHM5l2ZYbASM7:JRtVIgW
TLSHT1043289D0A5F790770177D8C362BE0B66B9E2082AE48A1501B7FD87780BECD447947DAE
Key Value
FileName./usr/share/doc/python-webpy-doc/html/_static/classic.css
FileSize4256
MD5EE79FDE9B6A1C15FEA24FB21CFCF3ED4
SHA-1067D6812F3CF0C908C76C02C54792F64B19BC93B
SHA-256465F63113BCC32A8A3BA952A7908D90E1B37426BD851B217486F126042DE04EB
SHA-5129C6E47485DD2629CC27693C96BD6759041B053AC99EEC0E2B08B4E2F70949100740CCF76DEF5E7B5D653535558867D297C0010A74B3AB8106DC741AE8CF0E138
SSDEEP96:XPHL0etfyE/NixJvPtbt/G+cGGN5VbqRj4eCF3R92odk:fr0etft/NixJnpY+cGGfbqRj4eCFB92b
TLSHT17C91CF06DFA30D43710BC5EA66FAD750F33C60434C4D8A7D3E69A6A48F4816456BEB8C
insert-timestamp1662293887.3084686
mimetypetext/plain
sourcesnap:SYQ6DTZsM1ajyZJXOSQyYE1oBGAlQBmp_82
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python3-stetl/examples/basics/12_gdal_ogr/output/cities.shx
FileSize140
MD503661E7C39D68304516A4FB791E0C9C3
SHA-1092185FA4C2BF396386EC75ABF1F221B77DDFB29
SHA-256E43CDAB1FE748F63D09B4B6009C6FE220B830423C2C37ACF6317053E424B4D32
SSDEEP3:0lInrlzXDIxNFlfll1ljlLl/HVll1n:02nxzXDM1
TLSHT1F4C022030B0C3E88C22300302028FB3CA3A32B380008800300C3883C88C3CB38FA022C





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