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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,174 @@ | ||
| # Release v4.1.0 | ||
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| 2023-12-07 | ||
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| Version description of the v4.1.0 release of ICESat-2 SlideRule. | ||
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| ***Important**: This version requires an update of the Python client to use. The underlying mechanism used in support of including ancillary fields in processing requests was updated to support both the PhoREAL algorithm and the ATL06 subsetter. As a result, in order to include ancillary field requests in your code, you must have the latest client installed. No changes are needed to the code in your scripts. | ||
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| ## New Functionality | ||
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| * [#356](https://github.com/ICESat2-SlideRule/sliderule/pull/356) - Updated functionality in `ipysliderule` module to support AGU CryoCloud Workshop. | ||
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| * ATL06 Subsetting API - `atl06s` and `atl06sp` provide direct subsetting of ATL06 standard data product | ||
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| * ATL08 / PhoREAL Ancillary Fields - the `atl08` and `atl08p` APIs support ancillary fields via the `atl08_fields` parameter | ||
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| * [b9fec20](https://github.com/ICESat2-SlideRule/sliderule/commit/b9fec20b464a0d89ac5ad1cee2d31f96788cb01a) [81ffae6](https://github.com/ICESat2-SlideRule/sliderule/commit/81ffae68cf1d9c6783502b51b585723c0c8630bf) - Added functionality to support large polygons when subsetting; this is useful when the list of granules to process is produced through some other means than a geospatial query, but the returned granules need to be subsetted to a large region like everything below/above a certain latitude. | ||
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| ## Issues Resolved | ||
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| * [98c7922](https://github.com/ICESat2-SlideRule/sliderule/commit/98c792264eba79949c8c79d66b7c7642250c51b2) - fixed plugin version check | ||
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| * [#357]https://github.com/ICESat2-SlideRule/sliderule/issues/357) - fixed pflags in ATL06-SR | ||
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| ## Development Updates | ||
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| * Pixel level access and subsetting added to raster functionality | ||
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| * [#156](https://github.com/ICESat2-SlideRule/sliderule/issues/156) - implemented full granule locking | ||
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| * [#287](https://github.com/ICESat2-SlideRule/sliderule/issues/287) - capture build dependency versions in a lock file | ||
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| * [e5dce17](https://github.com/ICESat2-SlideRule/sliderule/commit/e5dce17c9d797cb4696e9a41dbf26915e6704e74) - standardized on C++17 for all plugins | ||
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| * Unit tests are only run in the self test when compiled as a Debug build | ||
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| * Consolidated build system so that only a single makefile is used to build the sliderule server for the AWS target | ||
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| ## Getting This Release | ||
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| [https://github.com/ICESat2-SlideRule/sliderule/releases/tag/v4.1.0](https://github.com/ICESat2-SlideRule/sliderule/releases/tag/v4.1.0) | ||
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| ## Benchmarks | ||
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| ``` | ||
| atl06_aoi | ||
| output: 593360 x 15 elements | ||
| total: 30.233044 secs | ||
| gdf2poly: 0.000564 secs | ||
| toregion: 0.094093 secs | ||
| __parse_native: 18.946666 secs | ||
| todataframe: 0.381974 secs | ||
| merge: 0.000003 secs | ||
| flatten: 2.622699 secs | ||
| atl06p: 29.950796 secs | ||
| atl06_ancillary | ||
| output: 1180 x 16 elements | ||
| total: 3.034162 secs | ||
| gdf2poly: 0.000564 secs | ||
| toregion: 0.094093 secs | ||
| __parse_native: 0.694203 secs | ||
| todataframe: 0.006470 secs | ||
| merge: 0.016675 secs | ||
| flatten: 0.034338 secs | ||
| atl06p: 2.841465 secs | ||
| atl03_ancillary | ||
| output: 1180 x 16 elements | ||
| total: 3.244222 secs | ||
| gdf2poly: 0.000564 secs | ||
| toregion: 0.094093 secs | ||
| __parse_native: 0.157462 secs | ||
| todataframe: 0.006687 secs | ||
| merge: 0.016526 secs | ||
| flatten: 0.034690 secs | ||
| atl06p: 3.242928 secs | ||
| atl06_parquet | ||
| output: 1577 x 16 elements | ||
| total: 2.648922 secs | ||
| gdf2poly: 0.000564 secs | ||
| toregion: 0.094093 secs | ||
| __parse_native: 0.209142 secs | ||
| todataframe: 0.006687 secs | ||
| merge: 0.016526 secs | ||
| flatten: 0.038423 secs | ||
| atl06p: 2.648496 secs | ||
| atl03_parquet | ||
| output: 22833 x 23 elements | ||
| total: 1.728604 secs | ||
| gdf2poly: 0.000564 secs | ||
| toregion: 0.094093 secs | ||
| __parse_native: 0.012078 secs | ||
| todataframe: 0.006687 secs | ||
| merge: 0.016526 secs | ||
| flatten: 0.038423 secs | ||
| atl06p: 2.648496 secs | ||
| atl03sp: 1.707236 secs | ||
| atl06_sample_landsat | ||
| output: 914 x 19 elements | ||
| total: 6.773184 secs | ||
| gdf2poly: 0.000564 secs | ||
| toregion: 0.094093 secs | ||
| __parse_native: 0.367053 secs | ||
| todataframe: 0.006017 secs | ||
| merge: 0.013917 secs | ||
| flatten: 0.032864 secs | ||
| atl06p: 5.650639 secs | ||
| atl03sp: 1.707236 secs | ||
| atl06_sample_zonal_arcticdem | ||
| output: 1651 x 26 elements | ||
| total: 5.172106 secs | ||
| gdf2poly: 0.000421 secs | ||
| toregion: 0.005902 secs | ||
| __parse_native: 0.314454 secs | ||
| todataframe: 0.006817 secs | ||
| merge: 0.023643 secs | ||
| flatten: 0.048558 secs | ||
| atl06p: 5.163591 secs | ||
| atl03sp: 1.707236 secs | ||
| atl06_sample_nn_arcticdem | ||
| output: 1651 x 19 elements | ||
| total: 4.964410 secs | ||
| gdf2poly: 0.000380 secs | ||
| toregion: 0.005617 secs | ||
| __parse_native: 0.088379 secs | ||
| todataframe: 0.006685 secs | ||
| merge: 0.021653 secs | ||
| flatten: 0.042214 secs | ||
| atl06p: 4.956937 secs | ||
| atl03sp: 1.707236 secs | ||
| atl06_msample_nn_arcticdem | ||
| output: 1540621 x 19 elements | ||
| total: 149.481370 secs | ||
| gdf2poly: 0.000345 secs | ||
| toregion: 0.005443 secs | ||
| __parse_native: 82.972866 secs | ||
| todataframe: 1.041812 secs | ||
| merge: 14.907858 secs | ||
| flatten: 27.508495 secs | ||
| atl06p: 148.264367 secs | ||
| atl03sp: 1.707236 secs | ||
| atl06_no_sample_arcticdem | ||
| output: 1540621 x 15 elements | ||
| total: 61.295447 secs | ||
| gdf2poly: 0.000370 secs | ||
| toregion: 0.006505 secs | ||
| __parse_native: 48.411216 secs | ||
| todataframe: 0.847016 secs | ||
| merge: 0.000003 secs | ||
| flatten: 6.459972 secs | ||
| atl06p: 60.109332 secs | ||
| atl03sp: 1.707236 secs | ||
| atl03_rasterized_subset | ||
| output: 51968 x 21 elements | ||
| total: 4.837523 secs | ||
| gdf2poly: 0.000370 secs | ||
| toregion: 0.006505 secs | ||
| __parse_native: 1.639814 secs | ||
| todataframe: 0.034828 secs | ||
| merge: 0.000003 secs | ||
| flatten: 0.317074 secs | ||
| atl06p: 60.109332 secs | ||
| atl03sp: 4.344942 secs | ||
| atl03_polygon_subset | ||
| output: 50799 x 21 elements | ||
| total: 2.869779 secs | ||
| gdf2poly: 0.000370 secs | ||
| toregion: 0.006505 secs | ||
| __parse_native: 1.183934 secs | ||
| todataframe: 0.033643 secs | ||
| merge: 0.000003 secs | ||
| flatten: 0.305770 secs | ||
| atl06p: 60.109332 secs | ||
| atl03sp: 2.847249 secs | ||
| ``` |