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| # Release v4.0.4 | ||
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| 2023-09-26 | ||
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| Version description of the v4.0.4 release of ICESat-2 SlideRule. This document also captures functionality added in versions v4.0.1, v4.0.2, and v4.0.3. | ||
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| ## Issues Resolved | ||
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| * [f173932](https://github.com/ICESat2-SlideRule/sliderule/commit/f173932f98d85cb888fc8c921f69b15512acdfb5) - updates to support latest ipywidget release | ||
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| * [dd0fdcd](https://github.com/ICESat2-SlideRule/sliderule/commit/dd0fdcdca69740068798c7c420dcd07906f71528) - debug message logged when request to ILB fails | ||
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| * [3b535c5](https://github.com/ICESat2-SlideRule/sliderule/commit/3b535c588f9fa3c54e0f4ab86ea223c5f8463c23) - fix ATL06-SR bug when processing longitudes outside (-150, 150) | ||
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| * [#342](https://github.com/ICESat2-SlideRule/sliderule/issues/342) - fixed broken links in documentation | ||
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| * [1c41114](https://github.com/ICESat2-SlideRule/sliderule/commit/1c411140d211ba33658d8503a63f24536d198391) - default all raster datasets to us-west-2, unless overridden; saves a few cURL calls undernearth the hood | ||
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| * [#345](https://github.com/ICESat2-SlideRule/sliderule/pull/345) - updated soft limits for number of open files to support large raster sampling requests | ||
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| * [d2d9b63](https://github.com/ICESat2-SlideRule/sliderule/commit/d2d9b637cdeec2b041e7736e4e6d9af9794fa776) - GDAL multi-threaded support added for VRTs | ||
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| * [264433b](https://github.com/ICESat2-SlideRule/sliderule/commit/264433b980998c5db6fe9ee2fc672ba436d8da52) - fixed bug in ATL06-SR where invalid memory was freed when a segment containing no photons was processed | ||
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| * [5bbfaa6](https://github.com/ICESat2-SlideRule/sliderule/commit/5bbfaa6cf6aeee6b071c529b993afb458f6c5af6) - security vulnerability found by GitHub in node.js client fixed | ||
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| * [d1e776b](https://github.com/ICESat2-SlideRule/sliderule/commit/d1e776b5fa0922c196b8230369d6b97af1cfd85f) - GeoJSONRaster optimized to faster subsetting of ATL03 via burned geojson | ||
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| * [61fd6db](https://github.com/ICESat2-SlideRule/sliderule/commit/61fd6dbc5fcd3299f19790d72177f67a1b03b85f) - social login to provisioning system from the Python client is now supported | ||
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| * CurlLib replaced HttpClient in Orchestrator and EndpointProxy, significantly improving performance | ||
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| * [35671ed](https://github.com/ICESat2-SlideRule/sliderule/commit/35671ed32349fc8360bd8b4f8590b11dfc8974e5) - updated GEDI L4B data product directory entry to match latest release | ||
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| ## Development Updates | ||
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| * [#338](https://github.com/ICESat2-SlideRule/sliderule/pull/338), [#339](https://github.com/ICESat2-SlideRule/sliderule/pull/339) - Codespell pre-commit hook added to sliderule repository; along with it a slew of spelling corrections. | ||
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| * [#350](https://github.com/ICESat2-SlideRule/sliderule/pull/350) - major update to code base to support running clang-tidy, cppcheck, and address sanitizer on all Debug builds and selftests. | ||
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| * [75c7f7d](https://github.com/ICESat2-SlideRule/sliderule/commit/75c7f7d5e0dfb324d3fa5cd51a53e2a375c1a76f) - Initialization function is now a fixture in the pytests | ||
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| * [#208](https://github.com/ICESat2-SlideRule/sliderule/issues/208) - Certificate for slideruleearth.io automatically rotated using certbot and AWS lambda | ||
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| * [#251](https://github.com/ICESat2-SlideRule/sliderule/issues/251) - version information added to documentation | ||
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| * [29de90f](https://github.com/ICESat2-SlideRule/sliderule/commit/29de90fc2d44561519fed63cbf2ecc8dadb11bed) - metric collection moved to orchestrator | ||
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| ## Getting This Release | ||
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| [https://github.com/ICESat2-SlideRule/sliderule/releases/tag/v4.0.4](https://github.com/ICESat2-SlideRule/sliderule/releases/tag/v4.0.4) | ||
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| ## Benchmarks | ||
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| ``` | ||
| atl06_aoi | ||
| output: 571661 x 15 elements | ||
| total: 37.352343 secs | ||
| gdf2poly: 0.000495 secs | ||
| toregion: 0.187156 secs | ||
| __parse_native: 17.967412 secs | ||
| todataframe: 0.683151 secs | ||
| merge: 0.000002 secs | ||
| flatten: 2.631864 secs | ||
| atl06p: 37.137683 secs | ||
| atl06_ancillary | ||
| output: 1180 x 16 elements | ||
| total: 2.789055 secs | ||
| gdf2poly: 0.000495 secs | ||
| toregion: 0.187156 secs | ||
| __parse_native: 0.584189 secs | ||
| todataframe: 0.006167 secs | ||
| merge: 0.018061 secs | ||
| flatten: 0.030961 secs | ||
| atl06p: 2.669654 secs | ||
| atl03_ancillary | ||
| output: 1180 x 16 elements | ||
| total: 3.039502 secs | ||
| gdf2poly: 0.000495 secs | ||
| toregion: 0.187156 secs | ||
| __parse_native: 0.204709 secs | ||
| todataframe: 0.006145 secs | ||
| merge: 0.017784 secs | ||
| flatten: 0.030781 secs | ||
| atl06p: 3.038152 secs | ||
| atl06_parquet | ||
| output: 1577 x 16 elements | ||
| total: 2.704171 secs | ||
| gdf2poly: 0.000495 secs | ||
| toregion: 0.187156 secs | ||
| __parse_native: 0.208408 secs | ||
| todataframe: 0.006145 secs | ||
| merge: 0.017784 secs | ||
| flatten: 0.096728 secs | ||
| atl06p: 2.703798 secs | ||
| atl03_parquet | ||
| output: 22833 x 23 elements | ||
| total: 1.926006 secs | ||
| gdf2poly: 0.000495 secs | ||
| toregion: 0.187156 secs | ||
| __parse_native: 0.011052 secs | ||
| todataframe: 0.006145 secs | ||
| merge: 0.017784 secs | ||
| flatten: 0.096728 secs | ||
| atl06p: 2.703798 secs | ||
| atl03sp: 1.908603 secs | ||
| atl06_sample_landsat | ||
| output: 914 x 19 elements | ||
| total: 12.250066 secs | ||
| gdf2poly: 0.000495 secs | ||
| toregion: 0.187156 secs | ||
| __parse_native: 0.387278 secs | ||
| todataframe: 0.006386 secs | ||
| merge: 0.015527 secs | ||
| flatten: 0.034550 secs | ||
| atl06p: 4.577109 secs | ||
| atl03sp: 1.908603 secs | ||
| atl06_sample_zonal_arcticdem | ||
| output: 1651 x 26 elements | ||
| total: 8.280844 secs | ||
| gdf2poly: 0.000337 secs | ||
| toregion: 0.005492 secs | ||
| __parse_native: 0.309996 secs | ||
| todataframe: 0.007301 secs | ||
| merge: 0.025982 secs | ||
| flatten: 0.050954 secs | ||
| atl06p: 8.273125 secs | ||
| atl03sp: 1.908603 secs | ||
| atl06_sample_nn_arcticdem | ||
| output: 1651 x 19 elements | ||
| total: 4.964582 secs | ||
| gdf2poly: 0.000344 secs | ||
| toregion: 0.005554 secs | ||
| __parse_native: 0.085348 secs | ||
| todataframe: 0.006952 secs | ||
| merge: 0.023732 secs | ||
| flatten: 0.043986 secs | ||
| atl06p: 4.957544 secs | ||
| atl03sp: 1.908603 secs | ||
| atl06_msample_nn_arcticdem | ||
| output: 1526622 x 19 elements | ||
| total: 151.426132 secs | ||
| gdf2poly: 0.000327 secs | ||
| toregion: 0.005378 secs | ||
| __parse_native: 81.071236 secs | ||
| todataframe: 2.486024 secs | ||
| merge: 17.094814 secs | ||
| flatten: 30.848135 secs | ||
| atl06p: 150.431377 secs | ||
| atl03sp: 1.908603 secs | ||
| atl06_no_sample_arcticdem | ||
| output: 1526622 x 15 elements | ||
| total: 62.244200 secs | ||
| gdf2poly: 0.000369 secs | ||
| toregion: 0.006280 secs | ||
| __parse_native: 46.702178 secs | ||
| todataframe: 1.159332 secs | ||
| merge: 0.000003 secs | ||
| flatten: 6.242216 secs | ||
| atl06p: 61.391358 secs | ||
| atl03sp: 1.908603 secs | ||
| atl03_rasterized_subset | ||
| output: 51968 x 21 elements | ||
| total: 16.987414 secs | ||
| gdf2poly: 0.000369 secs | ||
| toregion: 0.006280 secs | ||
| __parse_native: 1.420302 secs | ||
| todataframe: 0.029791 secs | ||
| merge: 0.000003 secs | ||
| flatten: 0.278818 secs | ||
| atl06p: 61.391358 secs | ||
| atl03sp: 16.692929 secs | ||
| atl03_polygon_subset | ||
| output: 50799 x 21 elements | ||
| total: 2.615179 secs | ||
| gdf2poly: 0.000369 secs | ||
| toregion: 0.006280 secs | ||
| __parse_native: 1.153502 secs | ||
| todataframe: 0.030567 secs | ||
| merge: 0.000003 secs | ||
| flatten: 0.276284 secs | ||
| atl06p: 61.391358 secs | ||
| atl03sp: 2.595944 secs | ||
| ``` |