actinia-org / actinia-introduction Goto Github PK
View Code? Open in Web Editor NEWIntroduction to actinia at FOSS4G 2022
Home Page: https://actinia-org.github.io/actinia-introduction/
Introduction to actinia at FOSS4G 2022
Home Page: https://actinia-org.github.io/actinia-introduction/
This issue lists Renovate updates and detected dependencies. Read the Dependency Dashboard docs to learn more.
These updates have all been created already. Click a checkbox below to force a retry/rebase of any.
.github/workflows/docs.yml
actions/checkout v4@0ad4b8fadaa221de15dcec353f45205ec38ea70b
actions/setup-python v5
.gitlab-ci.yml
python 3.8-buster
The link https://mundialis.github.io/actinia-introduction/ at this line sends me to 404.
Originally created on 28 Sep 2021 at https://github.com/mmacata/actinia-introduction
The process chain can be executed successfully, but
https://mmacata.github.io/actinia-introduction/3_explore/#dealing-with-workflows-processing-chains
{
"executable": "r.out.gdal",
"id": "exporter_raster_my_slope",
"mapset_size": 30050564,
"parameter": [
"-fmt",
"input=my_slope",
"format=COG",
"output=/actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_slope.tif",
"createopt=BIGTIFF=YES,COMPRESS=LZW",
"-c"
],
"return_code": 0,
"run_time": 1.0044856071472168,
"stderr": [
"Driver <COG> does not support direct writing. Using MEM driver for intermediate dataset.",
"Checking GDAL data type and nodata value...",
"2..5..8..11..14..17..20..23..26..29..32..35..38..41..44..47..50..53..56..59..62..65..68..71..74..77..80..83..86..89..92..95..98..100",
"Using GDAL data type <Float32>",
"Input raster map contains cells with NULL-value (no-data). The value -nan will be used to represent no-data values in the input map. You can specify a nodata value with the nodata option.",
"Warning 6: driver MEM does not support creation option BIGTIFF",
"Warning 6: driver MEM does not support creation option COMPRESS",
"Exporting raster data to COG format...",
"2..5..8..11..14..17..20..23..26..29..32..35..38..41..44..47..50..53..56..59..62..65..68..71..74..77..80..83..86..89..92..95..98..100",
"r.out.gdal complete. File </actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_slope.tif> created.",
""
],
"stdout": ""
},
{
"executable": "r.out.gdal",
"id": "exporter_raster_my_aspect",
"mapset_size": 30050564,
"parameter": [
"-fmt",
"input=my_aspect",
"format=GTiff",
"output=/actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_aspect.tif",
"overviews=5",
"createopt=BIGTIFF=YES,COMPRESS=LZW,TILED=YES"
],
"return_code": 0,
"run_time": 0.6535732746124268,
"stderr": [
"Checking GDAL data type and nodata value...",
"2..5..8..11..14..17..20..23..26..29..32..35..38..41..44..47..50..53..56..59..62..65..68..71..74..77..80..83..86..89..92..95..98..100",
"Using GDAL data type <Float32>",
"Input raster map contains cells with NULL-value (no-data). The value -nan will be used to represent no-data values in the input map. You can specify a nodata value with the nodata option.",
"Exporting raster data to GTiff format...",
"ERROR 6: SetColorTable() only supported for Byte or UInt16 bands in TIFF format.",
"2..5..8..11..14..17..20..23..26..29..32..35..38..41..44..47..50..53..56..59..62..65..68..71..74..77..80..83..86..89..92..95..98..100",
"Building overviews ...",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFFetchDirectory:/actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_aspect.tif: Can not read TIFF directory count",
"ERROR 1: TIFFReadDirectory:Failed to read directory at offset 12270282",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFFetchDirectory:/actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_aspect.tif: Can not read TIFF directory count",
"ERROR 1: TIFFReadDirectory:Failed to read directory at offset 12270282",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFFetchDirectory:/actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_aspect.tif: Can not read TIFF directory count",
"ERROR 1: TIFFReadDirectory:Failed to read directory at offset 12270282",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFFetchDirectory:/actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_aspect.tif: Can not read TIFF directory count",
"ERROR 1: TIFFReadDirectory:Failed to read directory at offset 12270282",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"ERROR 1: TIFFRewriteDirectory:Sanity check on tag count failed, likely corrupt TIFF",
"r.out.gdal complete. File </actinia_core/workspace/temp_db/gisdbase_848657895ba74818acaf90fc3d7ed670/.tmp/my_aspect.tif> created.",
""
],
"stdout": ""
},
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.