diff --git a/docs/examples/.log.txt b/docs/examples/.log.txt new file mode 100644 index 0000000..4045873 --- /dev/null +++ b/docs/examples/.log.txt @@ -0,0 +1,294 @@ +2024-09-20 23:29:19,267 - + Label Image: Labels: DAPI + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: . + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:29:19,268 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:29:19,330 - Processing scene 0 +2024-09-20 23:29:19,412 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:29:19,473 - Processing scene 0 +2024-09-20 23:29:19,555 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:29:19,632 - Processing scene 0 +2024-09-20 23:29:19,712 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:29:19,777 - Processing scene 0 +2024-09-20 23:29:19,861 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:29:19,927 - Processing scene 0 +2024-09-20 23:29:20,011 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:29:20,075 - Processing scene 0 +2024-09-20 23:29:20,156 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:29:20,217 - Processing scene 0 +2024-09-20 23:29:20,298 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:29:20,363 - Processing scene 0 +2024-09-20 23:29:20,450 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:29:20,515 - Processing scene 0 +2024-09-20 23:29:20,596 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:29:20,663 - Processing scene 0 +2024-09-20 23:29:20,743 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:29:20,817 - Processing scene 0 +2024-09-20 23:29:20,898 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:29:20,965 - Processing scene 0 +2024-09-20 23:29:21,045 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:29:21,120 - Processing scene 0 +2024-09-20 23:29:21,204 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:29:21,273 - Processing scene 0 +2024-09-20 23:29:21,362 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:29:21,436 - Processing scene 0 +2024-09-20 23:29:21,517 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:29:21,586 - Processing scene 0 +2024-09-20 23:29:21,668 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:29:21,732 - Processing scene 0 +2024-09-20 23:29:21,813 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:29:21,888 - Processing scene 0 +2024-09-20 23:29:21,969 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:29:22,032 - Processing scene 0 +2024-09-20 23:29:22,115 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:29:22,180 - Processing scene 0 +2024-09-20 23:29:22,322 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:29:22,395 - Processing scene 0 +2024-09-20 23:29:22,480 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:29:22,540 - Processing scene 0 +2024-09-20 23:29:22,625 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:29:22,685 - Processing scene 0 +2024-09-20 23:29:22,766 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:29:22,840 - Processing scene 0 +2024-09-20 23:29:22,923 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:29:22,990 - Processing scene 0 +2024-09-20 23:29:24,990 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: . + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:29:24,992 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:29:25,056 - Processing scene 0 +2024-09-20 23:29:25,134 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:29:25,199 - Processing scene 0 +2024-09-20 23:29:25,283 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:29:25,348 - Processing scene 0 +2024-09-20 23:29:25,430 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:29:25,490 - Processing scene 0 +2024-09-20 23:29:25,574 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:29:25,632 - Processing scene 0 +2024-09-20 23:29:25,714 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:29:25,783 - Processing scene 0 +2024-09-20 23:29:25,867 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:29:25,929 - Processing scene 0 +2024-09-20 23:29:26,012 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:29:26,072 - Processing scene 0 +2024-09-20 23:29:26,153 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:29:26,222 - Processing scene 0 +2024-09-20 23:29:26,305 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:29:26,365 - Processing scene 0 +2024-09-20 23:29:26,453 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:29:26,513 - Processing scene 0 +2024-09-20 23:29:26,594 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:29:26,663 - Processing scene 0 +2024-09-20 23:29:26,743 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:29:26,804 - Processing scene 0 +2024-09-20 23:29:26,890 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:29:26,949 - Processing scene 0 +2024-09-20 23:29:27,030 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:29:27,102 - Processing scene 0 +2024-09-20 23:29:27,187 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:29:27,250 - Processing scene 0 +2024-09-20 23:29:27,336 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:29:27,399 - Processing scene 0 +2024-09-20 23:29:27,483 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:29:27,546 - Processing scene 0 +2024-09-20 23:29:27,629 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:29:27,687 - Processing scene 0 +2024-09-20 23:29:27,777 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:29:27,837 - Processing scene 0 +2024-09-20 23:29:27,985 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:29:28,056 - Processing scene 0 +2024-09-20 23:29:28,138 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:29:28,199 - Processing scene 0 +2024-09-20 23:29:28,281 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:29:28,339 - Processing scene 0 +2024-09-20 23:29:28,420 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:29:28,485 - Processing scene 0 +2024-09-20 23:29:28,566 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:29:28,627 - Processing scene 0 +2024-09-20 23:29:42,545 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: . + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:29:42,546 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:29:42,613 - Processing scene 0 +2024-09-20 23:29:56,665 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: . + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:29:56,666 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:29:56,732 - Processing scene 0 +2024-09-20 23:29:56,810 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:29:56,872 - Processing scene 0 +2024-09-20 23:29:56,956 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:29:57,030 - Processing scene 0 +2024-09-20 23:29:57,111 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:29:57,172 - Processing scene 0 +2024-09-20 23:29:57,257 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:29:57,318 - Processing scene 0 +2024-09-20 23:29:57,401 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:29:57,460 - Processing scene 0 +2024-09-20 23:29:57,545 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:29:57,606 - Processing scene 0 +2024-09-20 23:29:57,687 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:29:57,746 - Processing scene 0 +2024-09-20 23:29:57,831 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:29:57,895 - Processing scene 0 +2024-09-20 23:29:57,976 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:29:58,036 - Processing scene 0 +2024-09-20 23:29:58,119 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:29:58,178 - Processing scene 0 +2024-09-20 23:29:58,258 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:29:58,320 - Processing scene 0 +2024-09-20 23:29:58,407 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:29:58,465 - Processing scene 0 +2024-09-20 23:29:58,549 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:29:58,618 - Processing scene 0 +2024-09-20 23:29:58,700 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:29:58,760 - Processing scene 0 +2024-09-20 23:29:58,851 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:29:58,910 - Processing scene 0 +2024-09-20 23:29:58,992 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:29:59,057 - Processing scene 0 +2024-09-20 23:29:59,141 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:29:59,201 - Processing scene 0 +2024-09-20 23:29:59,291 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:29:59,352 - Processing scene 0 +2024-09-20 23:29:59,437 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:29:59,511 - Processing scene 0 +2024-09-20 23:29:59,663 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:29:59,725 - Processing scene 0 +2024-09-20 23:29:59,815 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:29:59,886 - Processing scene 0 +2024-09-20 23:29:59,970 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:30:00,038 - Processing scene 0 +2024-09-20 23:30:00,125 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:30:00,190 - Processing scene 0 +2024-09-20 23:30:00,349 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:30:00,449 - Processing scene 0 +2024-09-20 23:30:09,851 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: . + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:30:09,852 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:30:09,918 - Processing scene 0 +2024-09-20 23:30:10,003 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:30:10,070 - Processing scene 0 +2024-09-20 23:30:10,154 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:30:10,225 - Processing scene 0 +2024-09-20 23:30:10,305 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:30:10,365 - Processing scene 0 +2024-09-20 23:30:10,450 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:30:10,513 - Processing scene 0 +2024-09-20 23:30:10,596 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:30:10,659 - Processing scene 0 +2024-09-20 23:30:10,741 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:30:10,803 - Processing scene 0 +2024-09-20 23:30:10,884 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:30:10,958 - Processing scene 0 +2024-09-20 23:30:11,044 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:30:11,104 - Processing scene 0 +2024-09-20 23:30:11,186 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:30:11,253 - Processing scene 0 +2024-09-20 23:30:11,335 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:30:11,393 - Processing scene 0 +2024-09-20 23:30:11,478 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:30:11,543 - Processing scene 0 +2024-09-20 23:30:11,627 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:30:11,695 - Processing scene 0 +2024-09-20 23:30:11,775 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:30:11,836 - Processing scene 0 +2024-09-20 23:30:11,918 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:30:11,987 - Processing scene 0 +2024-09-20 23:30:12,072 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:30:12,134 - Processing scene 0 +2024-09-20 23:30:12,225 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:30:12,289 - Processing scene 0 +2024-09-20 23:30:12,373 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:30:12,447 - Processing scene 0 +2024-09-20 23:30:12,529 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:30:12,590 - Processing scene 0 +2024-09-20 23:30:12,681 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:30:12,741 - Processing scene 0 +2024-09-20 23:30:12,890 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:30:12,950 - Processing scene 0 +2024-09-20 23:30:13,040 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:30:13,105 - Processing scene 0 +2024-09-20 23:30:13,186 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:30:13,253 - Processing scene 0 +2024-09-20 23:30:13,335 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:30:13,398 - Processing scene 0 +2024-09-20 23:30:13,487 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:30:13,546 - Processing scene 0 diff --git a/docs/examples/Labels/cropped_neuron.ome b/docs/examples/Labels/cropped_neuron.ome new file mode 100644 index 0000000..28ca655 Binary files /dev/null and b/docs/examples/Labels/cropped_neuron.ome differ diff --git a/docs/examples/Labels/cropped_neuron.ome.tiff b/docs/examples/Labels/cropped_neuron.ome.tiff new file mode 100644 index 0000000..32b8172 Binary files /dev/null and b/docs/examples/Labels/cropped_neuron.ome.tiff differ diff --git a/docs/examples/measure/data/.log.txt b/docs/examples/measure/data/.log.txt new file mode 100644 index 0000000..feb2a81 --- /dev/null +++ b/docs/examples/measure/data/.log.txt @@ -0,0 +1,1190 @@ +2024-09-20 23:26:37,523 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:26:37,525 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:26:37,589 - Processing scene 0 +2024-09-20 23:27:08,018 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:08,020 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:08,085 - Processing scene 0 +2024-09-20 23:27:41,730 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:41,732 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:41,794 - Processing scene 0 +2024-09-20 23:27:42,352 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:42,353 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:42,416 - Processing scene 0 +2024-09-20 23:27:42,565 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:42,566 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:42,639 - Processing scene 0 +2024-09-20 23:27:42,755 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:42,756 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:42,824 - Processing scene 0 +2024-09-20 23:27:42,944 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:42,945 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:43,004 - Processing scene 0 +2024-09-20 23:27:49,015 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:49,016 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:49,077 - Processing scene 0 +2024-09-20 23:27:53,649 - + Label Image: Labels: Morphology + Intensity Channels: [None] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'\d{4}-\d{2}-\d{2}', +} + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:27:53,650 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:27:53,708 - Processing scene 0 +2024-09-20 23:30:50,840 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:30:50,841 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:30:50,903 - Processing scene 0 +2024-09-20 23:30:50,982 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:30:51,046 - Processing scene 0 +2024-09-20 23:30:51,129 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:30:51,193 - Processing scene 0 +2024-09-20 23:30:51,279 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:30:51,343 - Processing scene 0 +2024-09-20 23:30:51,426 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:30:51,486 - Processing scene 0 +2024-09-20 23:30:51,566 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:30:51,628 - Processing scene 0 +2024-09-20 23:30:51,714 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:30:51,772 - Processing scene 0 +2024-09-20 23:30:51,852 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:30:51,917 - Processing scene 0 +2024-09-20 23:30:52,003 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:30:52,062 - Processing scene 0 +2024-09-20 23:30:52,145 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:30:52,203 - Processing scene 0 +2024-09-20 23:30:52,287 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:30:52,353 - Processing scene 0 +2024-09-20 23:30:52,437 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:30:52,496 - Processing scene 0 +2024-09-20 23:30:52,579 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:30:52,649 - Processing scene 0 +2024-09-20 23:30:52,734 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:30:52,793 - Processing scene 0 +2024-09-20 23:30:52,877 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:30:52,945 - Processing scene 0 +2024-09-20 23:30:53,032 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:30:53,091 - Processing scene 0 +2024-09-20 23:30:53,183 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:30:53,242 - Processing scene 0 +2024-09-20 23:30:53,326 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:30:53,395 - Processing scene 0 +2024-09-20 23:30:53,476 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:30:53,537 - Processing scene 0 +2024-09-20 23:30:53,625 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:30:53,685 - Processing scene 0 +2024-09-20 23:30:53,834 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:30:53,903 - Processing scene 0 +2024-09-20 23:30:53,984 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:30:54,046 - Processing scene 0 +2024-09-20 23:30:54,132 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:30:54,191 - Processing scene 0 +2024-09-20 23:30:54,272 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:30:54,340 - Processing scene 0 +2024-09-20 23:30:54,423 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:30:54,494 - Processing scene 0 +2024-09-20 23:32:41,638 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:32:41,639 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:32:41,706 - Processing scene 0 +2024-09-20 23:32:41,786 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:32:41,844 - Processing scene 0 +2024-09-20 23:32:41,934 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:32:41,999 - Processing scene 0 +2024-09-20 23:32:42,080 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:32:42,138 - Processing scene 0 +2024-09-20 23:32:42,225 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:32:42,284 - Processing scene 0 +2024-09-20 23:32:42,367 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:32:42,428 - Processing scene 0 +2024-09-20 23:32:42,515 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:32:42,585 - Processing scene 0 +2024-09-20 23:32:42,669 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:32:42,734 - Processing scene 0 +2024-09-20 23:32:42,820 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:32:42,886 - Processing scene 0 +2024-09-20 23:32:42,982 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:32:43,044 - Processing scene 0 +2024-09-20 23:32:43,127 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:32:43,187 - Processing scene 0 +2024-09-20 23:32:43,272 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:32:43,331 - Processing scene 0 +2024-09-20 23:32:43,414 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:32:43,473 - Processing scene 0 +2024-09-20 23:32:43,565 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:32:43,626 - Processing scene 0 +2024-09-20 23:32:43,712 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:32:43,775 - Processing scene 0 +2024-09-20 23:32:43,864 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:32:43,936 - Processing scene 0 +2024-09-20 23:32:44,019 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:32:44,081 - Processing scene 0 +2024-09-20 23:32:44,171 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:32:44,244 - Processing scene 0 +2024-09-20 23:32:44,330 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:32:44,394 - Processing scene 0 +2024-09-20 23:32:44,483 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:32:44,554 - Processing scene 0 +2024-09-20 23:32:44,709 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:32:44,768 - Processing scene 0 +2024-09-20 23:32:44,855 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:32:44,915 - Processing scene 0 +2024-09-20 23:32:45,001 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:32:45,072 - Processing scene 0 +2024-09-20 23:32:45,158 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:32:45,226 - Processing scene 0 +2024-09-20 23:32:45,311 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:32:45,368 - Processing scene 0 +2024-09-20 23:33:09,704 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC' +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:33:09,705 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:33:09,768 - Processing scene 0 +2024-09-20 23:33:09,848 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:33:09,906 - Processing scene 0 +2024-09-20 23:33:09,989 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:33:10,050 - Processing scene 0 +2024-09-20 23:33:10,131 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:33:10,196 - Processing scene 0 +2024-09-20 23:33:10,277 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:33:10,340 - Processing scene 0 +2024-09-20 23:33:10,421 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:33:10,482 - Processing scene 0 +2024-09-20 23:33:10,566 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:33:10,627 - Processing scene 0 +2024-09-20 23:33:10,710 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:33:10,775 - Processing scene 0 +2024-09-20 23:33:10,857 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:33:10,919 - Processing scene 0 +2024-09-20 23:33:10,999 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:33:11,061 - Processing scene 0 +2024-09-20 23:33:11,148 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:33:11,211 - Processing scene 0 +2024-09-20 23:33:11,296 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:33:11,361 - Processing scene 0 +2024-09-20 23:33:11,450 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:33:11,510 - Processing scene 0 +2024-09-20 23:33:11,598 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:33:11,655 - Processing scene 0 +2024-09-20 23:33:11,738 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:33:11,799 - Processing scene 0 +2024-09-20 23:33:11,888 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:33:11,948 - Processing scene 0 +2024-09-20 23:33:12,036 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:33:12,095 - Processing scene 0 +2024-09-20 23:33:12,180 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:33:12,248 - Processing scene 0 +2024-09-20 23:33:12,330 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:33:12,389 - Processing scene 0 +2024-09-20 23:33:12,479 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:33:12,539 - Processing scene 0 +2024-09-20 23:33:12,688 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:33:12,745 - Processing scene 0 +2024-09-20 23:33:12,830 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:33:12,893 - Processing scene 0 +2024-09-20 23:33:12,981 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:33:13,054 - Processing scene 0 +2024-09-20 23:33:13,136 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:33:13,195 - Processing scene 0 +2024-09-20 23:33:13,277 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:33:13,338 - Processing scene 0 +2024-09-20 23:33:37,217 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: None + Tx N Well: None + Tx Dict: { + +} + +2024-09-20 23:33:37,219 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:33:37,289 - Processing scene 0 +2024-09-20 23:33:37,367 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:33:37,425 - Processing scene 0 +2024-09-20 23:33:37,507 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:33:37,564 - Processing scene 0 +2024-09-20 23:33:37,646 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:33:37,710 - Processing scene 0 +2024-09-20 23:33:37,792 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:33:37,849 - Processing scene 0 +2024-09-20 23:33:37,928 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:33:37,993 - Processing scene 0 +2024-09-20 23:33:38,076 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:33:38,135 - Processing scene 0 +2024-09-20 23:33:38,215 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:33:38,272 - Processing scene 0 +2024-09-20 23:33:38,357 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:33:38,417 - Processing scene 0 +2024-09-20 23:33:38,497 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:33:38,555 - Processing scene 0 +2024-09-20 23:33:38,640 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:33:38,699 - Processing scene 0 +2024-09-20 23:33:38,781 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:33:38,839 - Processing scene 0 +2024-09-20 23:33:38,923 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:33:38,980 - Processing scene 0 +2024-09-20 23:33:39,061 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:33:39,119 - Processing scene 0 +2024-09-20 23:33:39,204 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:33:39,262 - Processing scene 0 +2024-09-20 23:33:39,346 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:33:39,415 - Processing scene 0 +2024-09-20 23:33:39,496 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:33:39,555 - Processing scene 0 +2024-09-20 23:33:39,637 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:33:39,697 - Processing scene 0 +2024-09-20 23:33:39,777 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:33:39,845 - Processing scene 0 +2024-09-20 23:33:39,928 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:33:39,987 - Processing scene 0 +2024-09-20 23:33:40,142 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:33:40,201 - Processing scene 0 +2024-09-20 23:33:40,282 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:33:40,347 - Processing scene 0 +2024-09-20 23:33:40,427 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:33:40,484 - Processing scene 0 +2024-09-20 23:33:40,569 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:33:40,627 - Processing scene 0 +2024-09-20 23:33:40,706 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:33:40,769 - Processing scene 0 +2024-09-20 23:34:18,857 - + Label Image: Labels: Morphology + Intensity Channels: [] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-20 23:34:18,859 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-20 23:34:18,926 - Processing scene 0 +2024-09-20 23:34:19,060 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-20 23:34:19,120 - Processing scene 0 +2024-09-20 23:34:19,257 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-20 23:34:19,318 - Processing scene 0 +2024-09-20 23:34:19,450 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-20 23:34:19,515 - Processing scene 0 +2024-09-20 23:34:19,643 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-20 23:34:19,703 - Processing scene 0 +2024-09-20 23:34:19,833 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-20 23:34:19,892 - Processing scene 0 +2024-09-20 23:34:20,021 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-20 23:34:20,078 - Processing scene 0 +2024-09-20 23:34:20,211 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-20 23:34:20,270 - Processing scene 0 +2024-09-20 23:34:20,401 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-20 23:34:20,466 - Processing scene 0 +2024-09-20 23:34:20,595 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-20 23:34:20,652 - Processing scene 0 +2024-09-20 23:34:20,791 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-20 23:34:20,849 - Processing scene 0 +2024-09-20 23:34:20,977 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-20 23:34:21,044 - Processing scene 0 +2024-09-20 23:34:21,174 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-20 23:34:21,233 - Processing scene 0 +2024-09-20 23:34:21,362 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-20 23:34:21,422 - Processing scene 0 +2024-09-20 23:34:21,555 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-20 23:34:21,613 - Processing scene 0 +2024-09-20 23:34:21,751 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-20 23:34:21,809 - Processing scene 0 +2024-09-20 23:34:21,943 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-20 23:34:22,002 - Processing scene 0 +2024-09-20 23:34:22,132 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-20 23:34:22,200 - Processing scene 0 +2024-09-20 23:34:22,328 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-20 23:34:22,390 - Processing scene 0 +2024-09-20 23:34:22,529 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-20 23:34:22,587 - Processing scene 0 +2024-09-20 23:34:22,786 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-20 23:34:22,849 - Processing scene 0 +2024-09-20 23:34:22,980 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-20 23:34:23,038 - Processing scene 0 +2024-09-20 23:34:23,175 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-20 23:34:23,236 - Processing scene 0 +2024-09-20 23:34:23,365 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-20 23:34:23,423 - Processing scene 0 +2024-09-20 23:34:23,556 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-20 23:34:23,613 - Processing scene 0 +2024-09-21 00:01:54,101 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, + 'media':{ + 'NGM': ['A1:H12'], + } +} + +2024-09-21 00:01:54,102 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 00:01:54,171 - Processing scene 0 +2024-09-21 00:01:54,350 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 00:01:54,412 - Processing scene 0 +2024-09-21 00:01:54,591 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-21 00:01:54,666 - Processing scene 0 +2024-09-21 00:01:54,848 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-21 00:01:54,910 - Processing scene 0 +2024-09-21 00:01:55,091 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-21 00:01:55,164 - Processing scene 0 +2024-09-21 00:01:55,345 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-21 00:01:55,407 - Processing scene 0 +2024-09-21 00:01:55,591 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-21 00:01:55,655 - Processing scene 0 +2024-09-21 00:01:55,837 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-21 00:01:55,907 - Processing scene 0 +2024-09-21 00:01:56,093 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 00:01:56,154 - Processing scene 0 +2024-09-21 00:01:56,340 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 00:01:56,400 - Processing scene 0 +2024-09-21 00:01:56,583 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 00:01:56,653 - Processing scene 0 +2024-09-21 00:01:56,834 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 00:01:56,894 - Processing scene 0 +2024-09-21 00:01:57,086 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 00:01:57,144 - Processing scene 0 +2024-09-21 00:01:57,464 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 00:01:57,532 - Processing scene 0 +2024-09-21 00:01:57,720 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-21 00:01:57,779 - Processing scene 0 +2024-09-21 00:01:57,980 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-21 00:01:58,039 - Processing scene 0 +2024-09-21 00:01:58,224 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-21 00:01:58,292 - Processing scene 0 +2024-09-21 00:01:58,478 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-21 00:01:58,537 - Processing scene 0 +2024-09-21 00:01:58,724 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-21 00:01:58,784 - Processing scene 0 +2024-09-21 00:01:58,982 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-21 00:01:59,053 - Processing scene 0 +2024-09-21 00:01:59,341 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-21 00:01:59,402 - Processing scene 0 +2024-09-21 00:01:59,593 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-21 00:01:59,656 - Processing scene 0 +2024-09-21 00:01:59,843 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-21 00:01:59,914 - Processing scene 0 +2024-09-21 00:02:00,106 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-21 00:02:00,169 - Processing scene 0 +2024-09-21 00:02:00,353 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-21 00:02:00,413 - Processing scene 0 +2024-09-21 00:25:38,771 - + Label Image: Labels: DAPI + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: 'well' + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, + 'media':{ + 'NGM': ['A1:H12'], + } +} + +2024-09-21 00:25:38,773 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 00:25:38,830 - Processing scene 0 +2024-09-21 00:25:45,867 - + Label Image: Labels: DAPI + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, + 'media':{ + 'NGM': ['A1:H12'], + } +} + +2024-09-21 00:25:45,870 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 00:25:45,926 - Processing scene 0 +2024-09-21 00:25:46,094 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 00:25:46,155 - Processing scene 0 +2024-09-21 00:25:46,344 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-21 00:25:46,411 - Processing scene 0 +2024-09-21 00:25:46,597 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-21 00:25:46,659 - Processing scene 0 +2024-09-21 00:25:46,839 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-21 00:25:46,902 - Processing scene 0 +2024-09-21 00:25:47,081 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-21 00:25:47,138 - Processing scene 0 +2024-09-21 00:25:47,310 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-21 00:25:47,371 - Processing scene 0 +2024-09-21 00:25:47,549 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-21 00:25:47,607 - Processing scene 0 +2024-09-21 00:25:47,784 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 00:25:47,846 - Processing scene 0 +2024-09-21 00:25:48,026 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 00:25:48,089 - Processing scene 0 +2024-09-21 00:25:48,266 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 00:25:48,324 - Processing scene 0 +2024-09-21 00:25:48,499 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 00:25:48,555 - Processing scene 0 +2024-09-21 00:25:48,731 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 00:25:48,790 - Processing scene 0 +2024-09-21 00:25:48,967 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 00:25:49,025 - Processing scene 0 +2024-09-21 00:25:49,203 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-21 00:25:49,263 - Processing scene 0 +2024-09-21 00:25:49,445 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-21 00:25:49,504 - Processing scene 0 +2024-09-21 00:25:49,679 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-21 00:25:49,735 - Processing scene 0 +2024-09-21 00:25:49,906 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-21 00:25:49,965 - Processing scene 0 +2024-09-21 00:25:50,135 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-21 00:25:50,193 - Processing scene 0 +2024-09-21 00:25:50,362 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-21 00:25:50,421 - Processing scene 0 +2024-09-21 00:25:50,680 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-21 00:25:50,737 - Processing scene 0 +2024-09-21 00:25:50,910 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-21 00:25:50,967 - Processing scene 0 +2024-09-21 00:25:51,140 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-21 00:25:51,196 - Processing scene 0 +2024-09-21 00:25:51,365 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-21 00:25:51,422 - Processing scene 0 +2024-09-21 00:25:51,592 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-21 00:25:51,651 - Processing scene 0 +2024-09-21 00:26:02,084 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, + 'media':{ + 'NGM': ['A1:H12'], + } +} + +2024-09-21 00:26:02,085 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 00:26:02,142 - Processing scene 0 +2024-09-21 00:26:02,311 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 00:26:02,366 - Processing scene 0 +2024-09-21 00:26:02,538 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-21 00:26:02,595 - Processing scene 0 +2024-09-21 00:26:02,770 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-21 00:26:02,827 - Processing scene 0 +2024-09-21 00:26:02,999 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-21 00:26:03,061 - Processing scene 0 +2024-09-21 00:26:03,232 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-21 00:26:03,288 - Processing scene 0 +2024-09-21 00:26:03,467 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-21 00:26:03,534 - Processing scene 0 +2024-09-21 00:26:03,709 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-21 00:26:03,766 - Processing scene 0 +2024-09-21 00:26:03,940 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 00:26:03,998 - Processing scene 0 +2024-09-21 00:26:04,176 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 00:26:04,234 - Processing scene 0 +2024-09-21 00:26:04,414 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 00:26:04,472 - Processing scene 0 +2024-09-21 00:26:04,650 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 00:26:04,706 - Processing scene 0 +2024-09-21 00:26:04,884 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 00:26:04,941 - Processing scene 0 +2024-09-21 00:26:05,112 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 00:26:05,169 - Processing scene 0 +2024-09-21 00:26:05,343 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-21 00:26:05,399 - Processing scene 0 +2024-09-21 00:26:05,587 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-21 00:26:05,643 - Processing scene 0 +2024-09-21 00:26:05,815 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-21 00:26:05,871 - Processing scene 0 +2024-09-21 00:26:06,051 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-21 00:26:06,119 - Processing scene 0 +2024-09-21 00:26:06,311 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-21 00:26:06,369 - Processing scene 0 +2024-09-21 00:26:06,559 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-21 00:26:06,618 - Processing scene 0 +2024-09-21 00:26:06,900 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-21 00:26:06,957 - Processing scene 0 +2024-09-21 00:26:07,132 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-21 00:26:07,201 - Processing scene 0 +2024-09-21 00:26:07,386 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-21 00:26:07,445 - Processing scene 0 +2024-09-21 00:26:07,622 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-21 00:26:07,679 - Processing scene 0 +2024-09-21 00:26:07,853 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-21 00:26:07,911 - Processing scene 0 +2024-09-21 00:29:55,272 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-21 00:29:55,274 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 00:29:55,333 - Processing scene 0 +2024-09-21 00:29:55,485 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 00:29:55,541 - Processing scene 0 +2024-09-21 00:29:55,698 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-21 00:29:55,755 - Processing scene 0 +2024-09-21 00:29:55,908 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-21 00:29:55,965 - Processing scene 0 +2024-09-21 00:29:56,119 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-21 00:29:56,176 - Processing scene 0 +2024-09-21 00:29:56,331 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-21 00:29:56,388 - Processing scene 0 +2024-09-21 00:29:56,545 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-21 00:29:56,612 - Processing scene 0 +2024-09-21 00:29:56,773 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-21 00:29:56,838 - Processing scene 0 +2024-09-21 00:29:57,000 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 00:29:57,058 - Processing scene 0 +2024-09-21 00:29:57,223 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 00:29:57,281 - Processing scene 0 +2024-09-21 00:29:57,439 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 00:29:57,496 - Processing scene 0 +2024-09-21 00:29:57,655 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 00:29:57,715 - Processing scene 0 +2024-09-21 00:29:57,881 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 00:29:57,945 - Processing scene 0 +2024-09-21 00:29:58,106 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 00:29:58,168 - Processing scene 0 +2024-09-21 00:29:58,337 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-21 00:29:58,399 - Processing scene 0 +2024-09-21 00:29:58,571 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-21 00:29:58,630 - Processing scene 0 +2024-09-21 00:29:58,803 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-21 00:29:58,864 - Processing scene 0 +2024-09-21 00:29:59,024 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-21 00:29:59,086 - Processing scene 0 +2024-09-21 00:29:59,255 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-21 00:29:59,313 - Processing scene 0 +2024-09-21 00:29:59,486 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-21 00:29:59,545 - Processing scene 0 +2024-09-21 00:29:59,826 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-21 00:29:59,886 - Processing scene 0 +2024-09-21 00:30:00,057 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-21 00:30:00,126 - Processing scene 0 +2024-09-21 00:30:00,293 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-21 00:30:00,356 - Processing scene 0 +2024-09-21 00:30:00,520 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-21 00:30:00,582 - Processing scene 0 +2024-09-21 00:30:00,752 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-21 00:30:00,813 - Processing scene 0 +2024-09-21 00:34:32,239 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-21 00:34:32,241 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 00:34:32,299 - Processing scene 0 +2024-09-21 00:34:32,449 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 00:34:32,507 - Processing scene 0 +2024-09-21 00:34:32,661 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-21 00:34:32,718 - Processing scene 0 +2024-09-21 00:34:32,871 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-21 00:34:32,927 - Processing scene 0 +2024-09-21 00:34:33,082 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-21 00:34:33,143 - Processing scene 0 +2024-09-21 00:34:33,297 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-21 00:34:33,481 - Processing scene 0 +2024-09-21 00:34:33,635 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-21 00:34:33,693 - Processing scene 0 +2024-09-21 00:34:33,856 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-21 00:34:33,917 - Processing scene 0 +2024-09-21 00:34:34,079 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 00:34:34,142 - Processing scene 0 +2024-09-21 00:34:34,304 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 00:34:34,361 - Processing scene 0 +2024-09-21 00:34:34,524 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 00:34:34,583 - Processing scene 0 +2024-09-21 00:34:34,743 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 00:34:34,806 - Processing scene 0 +2024-09-21 00:34:34,977 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 00:34:35,036 - Processing scene 0 +2024-09-21 00:34:35,202 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 00:34:35,262 - Processing scene 0 +2024-09-21 00:34:35,421 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-21 00:34:35,478 - Processing scene 0 +2024-09-21 00:34:35,651 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-21 00:34:35,708 - Processing scene 0 +2024-09-21 00:34:35,868 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-21 00:34:35,928 - Processing scene 0 +2024-09-21 00:34:36,088 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-21 00:34:36,147 - Processing scene 0 +2024-09-21 00:34:36,308 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-21 00:34:36,366 - Processing scene 0 +2024-09-21 00:34:36,539 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-21 00:34:36,601 - Processing scene 0 +2024-09-21 00:34:36,868 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-21 00:34:36,924 - Processing scene 0 +2024-09-21 00:34:37,083 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-21 00:34:37,141 - Processing scene 0 +2024-09-21 00:34:37,298 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-21 00:34:37,356 - Processing scene 0 +2024-09-21 00:34:37,513 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-21 00:34:37,570 - Processing scene 0 +2024-09-21 00:34:37,726 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-21 00:34:37,783 - Processing scene 0 +2024-09-21 11:35:19,438 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, + 'media':{ + 'NGM': ['A1:H12'], + } +} + +2024-09-21 11:35:19,440 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 11:35:19,501 - Processing scene 0 +2024-09-21 11:35:19,688 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 11:35:19,750 - Processing scene 0 +2024-09-21 11:35:19,937 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_25_24_P8-C9.ome.tiff +2024-09-21 11:35:20,000 - Processing scene 0 +2024-09-21 11:35:20,186 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_2_1_P4-A9.ome.tiff +2024-09-21 11:35:20,251 - Processing scene 0 +2024-09-21 11:35:20,439 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P8-D9.ome.tiff +2024-09-21 11:35:20,499 - Processing scene 0 +2024-09-21 11:35:20,683 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_57_56_P4-E9.ome.tiff +2024-09-21 11:35:20,744 - Processing scene 0 +2024-09-21 11:35:20,941 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_58_57_P3-E9.ome.tiff +2024-09-21 11:35:21,006 - Processing scene 0 +2024-09-21 11:35:21,186 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_99_98_P8-G9.ome.tiff +2024-09-21 11:35:21,248 - Processing scene 0 +2024-09-21 11:35:21,430 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 11:35:21,489 - Processing scene 0 +2024-09-21 11:35:21,669 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 11:35:21,727 - Processing scene 0 +2024-09-21 11:35:21,909 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 11:35:21,967 - Processing scene 0 +2024-09-21 11:35:22,152 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 11:35:22,210 - Processing scene 0 +2024-09-21 11:35:22,396 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 11:35:22,456 - Processing scene 0 +2024-09-21 11:35:22,637 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 11:35:22,697 - Processing scene 0 +2024-09-21 11:35:22,883 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_95_94_P11-F9.ome.tiff +2024-09-21 11:35:22,943 - Processing scene 0 +2024-09-21 11:35:23,138 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_110_109_P4-H9.ome.tiff +2024-09-21 11:35:23,199 - Processing scene 0 +2024-09-21 11:35:23,377 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_17_12_P6-B9.ome.tiff +2024-09-21 11:35:23,437 - Processing scene 0 +2024-09-21 11:35:23,622 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_1_0_P8-B9.ome.tiff +2024-09-21 11:35:23,681 - Processing scene 0 +2024-09-21 11:35:23,866 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_22_21_P7-B9.ome.tiff +2024-09-21 11:35:23,926 - Processing scene 0 +2024-09-21 11:35:24,118 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_35_34_TR2-C9.ome.tiff +2024-09-21 11:35:24,176 - Processing scene 0 +2024-09-21 11:35:24,475 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_4_3_P3-A9.ome.tiff +2024-09-21 11:35:24,538 - Processing scene 0 +2024-09-21 11:35:24,728 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_56_55_P7-D9.ome.tiff +2024-09-21 11:35:24,791 - Processing scene 0 +2024-09-21 11:35:24,981 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_62_61_P2-E9.ome.tiff +2024-09-21 11:35:25,045 - Processing scene 0 +2024-09-21 11:35:25,229 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_84_83_P13-F9.ome.tiff +2024-09-21 11:35:25,291 - Processing scene 0 +2024-09-21 11:35:25,482 - Processing file 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_98_97_P9-G9.ome.tiff +2024-09-21 11:35:25,543 - Processing scene 0 +2024-09-21 19:49:24,828 - + Label Image: Labels: Morphology + Intensity Channels: ['Labels: DAPI Class'] + Num. Files: 25 + Label Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\labels + Image Directory: None + Region Directory: None + Output Directory: C:\Users\timmo\napari-ndev\docs\examples\measure\data + ID Example: 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0 + ID Regex Dict: { + 'scene': r'(P\d{1,3}-\w+).ome', + 'well': r'-(\w+).ome', + 'HIC': r'(\d{1,3})HIC', + 'date': r'(\d{4}-\d{2}-\d{2})', +} + + + Tx ID: well + Tx N Well: 96 + Tx Dict: { + 'chelation':{ + 'Control': ['B1:C12'], + '50uM DFP': ['D1:E12'], + '100uM DFP': ['F1:G12'], + '100uM DFO': ['A1:A12', 'H1:H12'], + }, +} + +2024-09-21 19:49:24,840 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome.tiff +2024-09-21 19:49:25,011 - Processing scene 0 +2024-09-21 19:49:25,186 - Processing file 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_10_9_P8-B9.ome.tiff +2024-09-21 19:49:25,246 - Processing scene 0 +2024-09-21 19:49:25,408 - 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Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_132_131_P20-H9.ome.tiff +2024-09-21 19:49:26,790 - Processing scene 0 +2024-09-21 19:49:26,953 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_36_35_P6-C9.ome.tiff +2024-09-21 19:49:27,012 - Processing scene 0 +2024-09-21 19:49:27,176 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_42_41_P7-C9.ome.tiff +2024-09-21 19:49:27,233 - Processing scene 0 +2024-09-21 19:49:27,393 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_46_45_P6-D9.ome.tiff +2024-09-21 19:49:27,453 - Processing scene 0 +2024-09-21 19:49:27,618 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_52_51_P10-D9.ome.tiff +2024-09-21 19:49:27,676 - Processing scene 0 +2024-09-21 19:49:27,839 - Processing file 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_70_69_P7-E9.ome.tiff +2024-09-21 19:49:27,898 - Processing scene 0 +2024-09-21 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Currently, labels are measured with `scikit-image.regionprops` and exported to a `.csv` file (which can be opened in any spreadsheet application or stats program). In addition, the user can specify two different sets of metadata to add additional information: 1) `ID Regex` which will parse information currently from the filename and the scene information; an example will be shown in `Example ID String`. 2) `Tx Map` can be used to add information based on a multi-well plate map. The `ID` mapped to is any column that can be created by `ID Regex` or the `Scene` information. \n", + "\n", + "In some ways, this widget is knowingly complex, however, it is certainly intended that a more advanced user can provide the proper `ID Regex` and `Tx Map` for a user for the experiments, and in the end create a summarized dataset. While the measure widget initially spits out a raw data file which will contain more rows than most datasets you are familiar with, since it is in 'long' format. In other words, each row represents a *single* object. \n", + "\n", + "Thus, to summarize your data on any measure of summary that you would like, use the `Grouping` tab and select the unique identifiers to summarize by. You will then select a column to `Count` which will tell you the number of labels in that group. Optionally, you can add `Aggregation Columns` to summarize all selected columns by the selected aggregation functions. For example, you may wish to know the `mean area` of all objects in your groups. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: QWindowsWindow::setGeometry: Unable to set geometry 1920x1310+1280+550 (frame: 1942x1366+1269+505) on QWidgetWindow/\"_QtMainWindowClassWindow\" on \"\\\\.\\DISPLAY1\". Resulting geometry: 2882x1968+1283+564 (frame: 2904x2024+1272+519) margins: 11, 45, 11, 11 minimum size: 385x492 MINMAXINFO maxSize=0,0 maxpos=0,0 mintrack=792,1040 maxtrack=0,0)\n", + "21-Sep-24 11:32:12 - vispy - WARNING - QWindowsWindow::setGeometry: Unable to set geometry 1920x1310+1280+550 (frame: 1942x1366+1269+505) on QWidgetWindow/\"_QtMainWindowClassWindow\" on \"\\\\.\\DISPLAY1\". Resulting geometry: 2882x1968+1283+564 (frame: 2904x2024+1272+519) margins: 11, 45, 11, 11 minimum size: 385x492 MINMAXINFO maxSize=0,0 maxpos=0,0 mintrack=792,1040 maxtrack=0,0)\n" + ] + }, + { + "data": { + "image/png": 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NxHlyO6LDTTquJuv44EXNCHj/el0T+kir/K+J0k162H38jHPiXmeo69YZdGqIWko36WHPe+tqry70kGtynT+/unc8Y1yTulIj8xpev/Ym40aBD14MOOdO7dJrxjXbkusKAAAAaIpW60C32Wx66MEfqKysQr95/neqr6/XmNHXBsx3uKxcH3z4kT748CNdvHhRCx/9ieYvWKhz5861VmkAgPYgPV09g0zqecV1+krnD1zDoB93qKJ/mjJS0pSaLlX7Pxs83a6MFEnnjqu6xnit8wB95cpsJQesOUUZV16nXmUfBA6xnmLXV65NM1mm5dzPNg+UpsFXDdC5A62wUQCINS3tEr7iBj364xtMJpzQOy/+3qvD2+XLOYMlSft2vqejZps++qn2Vo/QdamDNWyoU//Ye4WGuUPv/Z+E0RVozOAMfK1PzmBX8Fu9RwV7zVZ0XP88cELX5fVS2pDL1KfweECXttnxOlZ1QrqiV9DpIaWO0D0/HmE+7ZM39OtC///BBq/DfWz1yW69bXpwP9HeT27Q0CukoTmXS3s/UUCUb7LYP/Z/rpuvGCxdcZm+7PzEq6u9l3qnO6VjgctESqSehR2wHq8fncGeQW4+e1g1eeboN14/Wz3edJ49z9+np/y6gO2jrjJC2y3aYbqdYu364C6NuLqvRozK0isO6ZrhriGaK97foxKzZfz3tVnbOSxJKvnjYq3KeFZzru6rSffeJGfFeI2QpA9e0FPvRi5oi9Yz0D3efU4LMhdp6YS+GjH7Ht2a2c8Yun2bVv7xcLMjRNd+FOu1rTdqxIS+mnTTPcq4uq90ZJtee9eIJpv4XpTPMv2U1d8pZ6nfy0HWs2P3R5pz9ZXS1VdrtLNYO5q3Wz71Nn0hnxUEHNsxc5/VHJNh1/XBC5q+cpffKkyubfVvuCaCvb8de7T7yHh9q5/3+9trrUGOn9nxDV2LpHff157ZV2qErtSoa5zaUSTTazLY+hu4buQZ0c97+iiNct+Ms7s4dM3B6gMAAAAirNUCdKfTqQMHPtHw4VepS5fOOn36jLp26xIwX02NK2Do0KGDhuRcoYOHDun8+fOtVVaryRpg8uxBAEDYykoORn6l50r1jw9L5HNLVvowjbwiTclZdqU69qpaZ1VdfU4ZWSnqmdZbOu776Xlqmqs37eRh93p663IjPD/5yTv61DsPcAfrnnU3SE5Nk6r3a/f+CH8633mAMlMl6ZwqPtqjshqvaenDNLK/pJoSffxuiSdoD6gbANqAVvk4/ZM39PifPjGZ0BCGD510nx6d1PiqnL1T1VuSayjzYF3K5t/7z9M7zQi5q6pVGWS+yuMnJPWSUnupt+TpkA+1/nC2H2qZANV79Nxv3wsI70NvJ029Xf/rVVVVddD1H3WH/Wmu4xpqGx7HT6hKMrrOJefeXXpn9GBdl9pL1911n66TQpzzForUG9R/Pf4HM+R2MpTZL9x5g2zP25FtWvCTTQHDbkv9lWcEfxkTfqK1E8LYhtNdW6V2v3c4zDdoc7bT8OOOFS9o1O9maUS/8fqWETIvWLGrkZU0UaT/YgrjvDk2/lZ/Gf4TfavflfrWBEn6SKtMz1PTt+l470NVTBivjKuv1AhJFXv2NAwJ3+h7sb9u+8+fuI51I9sJvR5Jh4+oQq4O+Igc4+aswyf8l1QaYt5gy4b8y7Dhei0/HOSa0GGVVUjqJ2VkZEjOw4HbCbVv3tMb/R9AhVfwbbLuYNdsONvPzlSmJOkj7Xo3xLwh6wMAAAAiq1Wfgf7qH19XcnKylix+TPv3f6KRI4arvs6phESbJKm+3qk/bdqiTp066aEHf6ALFy9o5TOrVF9f35plAQDag+N7tdssJPZ0nHdWSmdJNdI5h0Mns3LUMzVdqTrmFXz3VmqqJFV5OtNT7Hb1VJAQuqZEn5Wl68tZgd3stWZd6ZHQubOrq73a4RueS8GPAQC0Rc3tSHMvduB/G4LTYTfqsW8Nlq64QfddV6VnC6uCLNSE2jzDhYeo1ek13dMW6Nt9GnQ+f8eqVSWjUz3c5cJZb7BlqnabhuUhlzHdjjOsOo4eM24Q8Mzjv5zZdv2P5XG9tfp/lf4f39BQ9+tX3KDHHrqh6fvUiJYMH+ybG4VO0ENuJTvDCKmk8rLSplV05H+04CebVCJJ2ZP1xOJvKqPfeC2dV65pK4pD1BQOp5xetTV+tJzGPM3Yjs8yxfrVb4Zr3T1XSpL2/PlPrv2LoMgPGx3OGkv1yq//RyMXf9PVnb9ls95pRh0+Hb/un0r/pD99MF7fM4bN/9MfS33mM68zVz/83SwFGZ/CZJlw3tOm1TVbs9ZQVmGE+H2VmdXQPe/2zorv6R2vn8fM+7Vx3My3F7qG4FNLyyulq/sGmct8S42tN9irwedwKvzzZzI9q5/xPPnwzifDsQMAACAaWjVAdzqdKtyxU2PHjdH/u/5r2rX7fb28/vcal5+vDh07aMeOd9WrVy89+cQyffzxP/TCiy+prq4uYts/deqUJOnn/7lETqd5KN+pUycdqWz5RyKt0jkJAGi5oMOtezum6uoc9UxNU6a9i6rdQbcxDHxtmcMTqqekuJ5c3vOK6zTyiuBrTO7cRVIrBOb+ampUqzQlp+bo8vRjdJYDaLea+3G6aVPb3r/qufSpuvfaXkq79g7devwZbdhrvvy+vwSf5mOY73YaDwgCvw+36U+SlJ7a0GltMl9Ttt8UTY80g78W6jj1Te8VsEyjx8X0mHyiDf/l7jhP09e/e4fy3TOljdS9367Wkgh0pLdkxGGn1wEJtR5nI9sZkHu1EVJ9pPfeDe9c+RxT930Jjk368W8y9PI9V0pXz9IT3ynXjzceNl2uYsvSgGmm7A3xamP74V1Lk7fjI1c/MsJzSRpxzxyNfndVi4cD99YaI003vs7+uv173/QEkhkTZ+u24p/qlSa2oJvduyNJ7+z6SN+7+kpXMB/iXiDXMv11+zKv8Pz9F3Sn9w0X9sl60gj6vc+7//suQFZGQ+Aa5H6ZpmjWeXJUqFxShqQRI3PlfNf/RpIg23Ca7GcY9ywFm56V0TfoOoJdS2bHt/FaMhtGsDBZr/d5aOz8hZoe9P6nRusDAAAAIiuhNVf+jRv+n5Y+vkhnTtfoqadXqnNysn7+n48rZ+gQZffP0qMLHtZtt31Hq36zWs/95re6cOFiRLe/eev/6M23t+vg5wd1tPKojhyp1KGDJT5f73/woZ577rcR3S4AIAZ0HqCvXHudRjYanrtUV7m6C5NT0+WKyLsoq3+apHM6cdwdhHeRkZ/HjpoSlRvpfs8rrtPIa91fw2T6WHQAaKuczfwKso7Kgm1yN54P/dZUfT3de3q1jhnT0tPTwtvOsWq57nHqpd7pQeYJtj9+rx2rOuH6OS1VfYNszxMwV1XrWGPrD3d6VJapaji2aalB1+EzjH2Q4xTWMfHb9lurn9GSXzyjJX/+3DXvkMv1lZa+ryR5OuWb8+W9YwHTw93GKH1novE85c1/cT1POayvIOvf+Ws9+77r5YyJC/SjPO9lSnW43JiWkRHedkrK5Vqkr7IywzgWzd2O19eYeUaw+/7/6M9HJOlK3TdvVITOVQTOe9D9Dv014DuzdVM/SUf+R39+33VMb/reZA2I1DZ3/lp33jVHP361tPH3SvYIjTKG5v/zwjm687/fC+/91cj+DnAnuUcqdNiy8/Se/rjZeIjG8Am6PTvcbZrtv9kyZSo74pqamZkVZL1Z6m8M3VBRXhb++8V0eqhanF4jWFSq7HAj62rq9g9XqEKS1E/9gx7HRuprznkHAAAAQmjVAP3EiZN6863teviRBdqxs0g/ffw/9aMHH9af/7JFb/zfW/rJoz/VQ//xE/3j43+2yvZPnjipX//6eT26aIn6ZfRT9+7d9H9vve3zVVRUrN6905SbO6pVagAAWKHhOeWSa7j13e+6vz5QxTmTRY47XK+npCu1s6TO6eqVIunccVX7D42uc6r4yHudgV+tMlx7ENX739Huj0pV6/NqmgZfe51G5vSOWh0AYCVns/8EW8Nxvbl6m/ZJknop/9+/qS97TfvHgROSpPRrR3m9HvjnyzdP1dd7O+U8VuUJ0IcNS21CLYGvHdn7mWtdaSM1bpjZelL1pSGusPj4gU90pNF9DXd6qGWaslToJf6+7zPX5CGjXMcu4M/l+tIQ1yz79h0IsxKTYzLsm7rN9Pg55TzuvuGhKcfC7Ki09P3Z+BFufCuj9MMX/93oAv5Qr28sbcbWA6e889+PG8GzNOLexbrd7jVt14euCcMn+rzu/8c+ZbF+eK1TTjWEhSNGjQq7lqZvx/hz7RzdN9x1PJ7979f1h2f/6grwhv+773xN/BPJ82625kbns0/WvEl9JVXqz8++rj/892+1W5L6fVPzpmQ1c19asIxnaO4KHXaEv53QW85S3kjjZpDdu3So2Uez5efp0MbNruOrvrppyRyNafLxDFVBqd7d7QroMyZNMl+3veEGhV3F7uvafS0ZQ8sHXcZ/q6GPht09gsWR9/WuI/QyjR3XgOmOMpUZx3FUbrD3aUvPFgE6AAAAmqZVA/Rdu/do9W9f1PkLFzyvHTtepT17PtB77+1SeXlFa27ex8f/+Kd69eql+753j+nX1DtukyT97W8fR60mAEArMYZe17lS/eNdk2eVmzqr6upzklLUK72LUtLTlSzp5OESnfOa59w5SUpxPT89ltSU6GPvEP8To30v1a6sWKsVAFqDs5lfIdfxiV757W4jSL1M35md5+n4rtxebITrl+k7D9+p6/27ytPzdP/Dc/WdIQ3renunO3T/N90+zHv+NF0/e67mXNvLvBb/144WafsB10tDb5prsq5/M4Yh/0zbt1eFXlew49GcYxipZf5ZbHT/91L+v/sf2yt0+8PjXc8sr9qtt/8ZuM6hQ6/wW2eQY2Icv0UP3+jXZZ6m6yePVLokVZ0I0q0e5v65d9OkGTLsr0bWE2ramO8/p/UvflcjJUmV2vTYr1XYnG2bTj+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+ "text/html": [ + "\"\"" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import napari\n", + "from napari.utils import nbscreenshot\n", + "\n", + "viewer = napari.Viewer()\n", + "viewer.window.resize(1000,700) # w x h\n", + "viewer.window.add_plugin_dock_widget('napari-ndev', 'Measure Widget')\n", + "nbscreenshot(viewer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example folder\n", + "\n", + "The only required directory is the `label directory` whereby the objects that you want to measure are found. You should also select/make an `output directory` so that you know where your file is saved. \n", + "\n", + "Once you select the `label directory`, label names will populate both the `label image` dropdown and `intensity images`. The only required selection is a `label image` once this is done, you can hit the `Measure` button and will get the most minimal dataset possible. \n", + "\n", + "However, you can also add other intensity images (by loading an image or region directory, the reasoning for these namings will come in future tutorials) and select them in the widget to be measured against. Then, in `Region Props` tab you can select additional properties to measure. \n", + "\n", + "In this example I want to measure the `intensity max` of the corresponding `Labels: DAPI Class` because this will give me the 'type' of DAPI that is inside each `Morphology` object. This is because the background is 0, live is 1, and dead is 2. So, we can later filter by the 'DAPI Class' of each morphology object. In other words, intensity images don't have to be raw intensity values, but other labels can be used. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/html": [ + "\"\"" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nbscreenshot(viewer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ID Regex\n", + "\n", + "In this example, one such ID string is: `'2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 488 DAPI OBL_107_106_P1-H9.ome__0__Image:0'`\n", + "From here, I can extract multiple different bits of information, which is why saving interesting metadata into filenames can be useful. This needs to be a dictionary, where each key represents a column, and the value for that key is the regex (regular expression) pattern used to extract that information. The only quirk (besides regex) is that there must be at least 1 'group' aka a pattern surrounded by parenetheses. This pattern surrounded by parentheses is what will be saved into the column. As such, there can be extra regex that isn't kept, but can be used to locate the pattern. \n", + "\n", + "```\n", + "{\n", + " 'scene': r'(P\\d{1,3}-\\w+).ome',\n", + " 'well': r'-(\\w+).ome',\n", + " 'HIC': r'(\\d{1,3})HIC',\n", + " 'date': r'(\\d{4}-\\d{2}-\\d{2})',\n", + "}\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/html": [ + "\"\"" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nbscreenshot(viewer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tx Map\n", + "\n", + "This section uses `napari_ndev:PlateMapper`. It is currently only set up to be used with typical culture plate dimensions, but will hopefully be updated in the future to be flexible to arbitrary patterns, so that a `Treatment ID` can include something like slide or section information that can then be mapped to treatments or positions of some kind. First, press the `Update Treatment ID Choices` to read possibilities from the `ID Regex` container. In the `treatment ID`, select the name of the column with the ID in it, which will usually be obtained from `ID Regex`, for this example it is 'well'. \n", + "\n", + "Then, select the number of wells for your plate, to automatically make a plate in the typical layout. For example, a 96-well plate would automatically map a A-H (8 row) plate with 12 columns.\n", + "\n", + "For now, you provide lists of strings with ranges representing wells on a plate. For `PlateMapper` provide a dictionary, where each key represents a column header, and then the value-dictionary has a key which is what will get mapped to the matching well-value. For example:\n", + "\n", + "```\n", + "{\n", + " 'chelation':{\n", + " 'Control': ['B1:C12'],\n", + " '50uM DFP': ['D1:E12'],\n", + " '100uM DFP': ['F1:G12'],\n", + " '100uM DFO': ['A1:A12', 'H1:H12'],\n", + " },\n", + " 'media':{\n", + " 'NGM': ['A1:H12'],\n", + " }\n", + "}\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Grouping Data!\n", + "\n", + "After acquiring your dataset, you may be interested in processing it further with the `Grouping` tab. This will reduce it from many rows, to much fewer. This example before has 1263 rows and 12 columns." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1263, 12)" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
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iddateHICwellscenelabelareaintensity_max-DAPI Classrowcolumnchelationmedia
02024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724H9P1-H910.6006320.0H9100uM DFONGM
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" + ], + "text/plain": [ + " id date HIC well \\\n", + "0 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "1 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "2 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "3 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "4 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "\n", + " scene label area intensity_max-DAPI Class row column chelation \\\n", + "0 P1-H9 1 0.600632 0.0 H 9 100uM DFO \n", + "1 P1-H9 2 0.246413 0.0 H 9 100uM DFO \n", + "2 P1-H9 3 3.203368 0.0 H 9 100uM DFO \n", + "3 P1-H9 4 0.308016 0.0 H 9 100uM DFO \n", + "4 P1-H9 5 269.283163 1.0 H 9 100uM DFO \n", + "\n", + " media \n", + "0 NGM \n", + "1 NGM \n", + "2 NGM \n", + "3 NGM \n", + "4 NGM " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "raw_data = pd.read_csv(r'./data\\measure_props_Morphology.csv')\n", + "display(raw_data.shape)\n", + "raw_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Using the Grouping Tab\n", + "\n", + "Load in your raw data of interest, and it will populate all the possible column names. Minimally, select grouping columns and the count column. \n", + "For example, if I want to group by every 'id' (i.e. filename, with scene info) I would be able to leave the default values. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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idlabel_count
02024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...16
12024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...14
22024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...40
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" + ], + "text/plain": [ + " id label_count\n", + "0 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 16\n", + "1 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 14\n", + "2 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 40\n", + "3 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 20\n", + "4 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 14" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grouped_data = pd.read_csv(r'./data\\measure_props_Morphology_grouped.csv')\n", + "display(grouped_data.shape)\n", + "grouped_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Advanced grouping\n", + "\n", + "However, you will note that now *only* the 'id' and 'label_count' columns are present. If I instead wanted to keep all that careful metadata I extracted earlier, I would also want to select other grouping data, such as id, date, HIC, well, and scene, and 'intensity_max-DAPI Class' which represents the type of cell present.\n", + "\n", + "And I could also select a column to aggregate, such as getting the 'mean' of the 'area' for each of these groups. Remember, if you keep the 'id' then minimally each *file* will get summarized. To have a more general summary (which would not typically be recommended), do not use 'id'. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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iddateHICwellsceneintensity_max-DAPI Classlabel_countarea_mean
02024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724H9P1-H90.0159.641934
12024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724H9P1-H91.01269.283163
22024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724B9P8-B90.0121.036988
32024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724B9P8-B91.02461.962697
42024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724C9P8-C90.0390.576938
52024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724C9P8-C91.01297.451244
62024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724A9P4-A90.0183.002302
72024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724A9P4-A91.02446.762097
82024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724D9P8-D90.0126.541494
92024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724D9P8-D91.02439.747028
102024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724E9P4-E90.0271.536659
112024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724E9P4-E91.02438.938486
122024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724E9P3-E90.0810.378221
132024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724E9P3-E91.02414.428097
142024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724G9P8-G90.0550.816803
152024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48...2024-08-0724G9P8-G91.02407.266720
162024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748H9P20-H90.0341.123353
172024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748H9P20-H91.02360.717772
182024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748C9P6-C90.0345.815165
192024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748C9P6-C91.03355.055407
202024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748C9P7-C90.0164.552864
212024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748C9P7-C91.02503.483281
222024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748D9P6-D90.0590.548948
232024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748D9P6-D91.04404.764088
242024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748D9P10-D90.0540.568119
252024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748D9P10-D91.02439.947239
262024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748E9P7-E90.0521.061767
272024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748E9P7-E91.04573.364456
282024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748F9P11-F90.020113.183400
292024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48...2024-08-0748F9P11-F91.02824.220550
302024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772H9P4-H90.0440.557229
312024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772H9P4-H91.01517.975443
322024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772B9P6-B90.0682.446237
332024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772B9P6-B91.01656.428725
342024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772B9P8-B90.0640.430741
352024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772B9P8-B91.01602.941711
362024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772B9P7-B90.0730.641138
372024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772B9P7-B91.011369.917450
382024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772A9P3-A90.0481.359763
392024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772D9P7-D90.02631.638595
402024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772D9P7-D91.01443.882146
412024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772E9P2-E90.071.095658
422024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772E9P2-E91.02446.831401
432024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772F9P13-F90.0360.533039
442024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772F9P13-F91.01736.743949
452024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772G9P9-G90.0565.597644
462024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48...2024-08-0772G9P9-G91.02789.691934
\n", + "
" + ], + "text/plain": [ + " id date HIC well \\\n", + "0 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "1 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 H9 \n", + "2 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 B9 \n", + "3 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 B9 \n", + "4 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 C9 \n", + "5 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 C9 \n", + "6 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 A9 \n", + "7 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 A9 \n", + "8 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 D9 \n", + "9 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 D9 \n", + "10 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 E9 \n", + "11 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 E9 \n", + "12 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 E9 \n", + "13 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 E9 \n", + "14 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 G9 \n", + "15 2024-08-07 25x 24HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 24 G9 \n", + "16 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 H9 \n", + "17 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 H9 \n", + "18 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 C9 \n", + "19 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 C9 \n", + "20 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 C9 \n", + "21 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 C9 \n", + "22 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 D9 \n", + "23 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 D9 \n", + "24 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 D9 \n", + "25 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 D9 \n", + "26 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 E9 \n", + "27 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 E9 \n", + "28 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 F9 \n", + "29 2024-08-07 25x 48HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 48 F9 \n", + "30 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 H9 \n", + "31 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 H9 \n", + "32 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 B9 \n", + "33 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 B9 \n", + "34 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 B9 \n", + "35 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 B9 \n", + "36 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 B9 \n", + "37 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 B9 \n", + "38 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 A9 \n", + "39 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 D9 \n", + "40 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 D9 \n", + "41 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 E9 \n", + "42 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 E9 \n", + "43 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 F9 \n", + "44 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 F9 \n", + "45 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 G9 \n", + "46 2024-08-07 25x 72HIC NCOA4 647 FT 568 PHALL 48... 2024-08-07 72 G9 \n", + "\n", + " scene intensity_max-DAPI Class label_count area_mean \n", + "0 P1-H9 0.0 15 9.641934 \n", + "1 P1-H9 1.0 1 269.283163 \n", + "2 P8-B9 0.0 12 1.036988 \n", + "3 P8-B9 1.0 2 461.962697 \n", + "4 P8-C9 0.0 39 0.576938 \n", + "5 P8-C9 1.0 1 297.451244 \n", + "6 P4-A9 0.0 18 3.002302 \n", + "7 P4-A9 1.0 2 446.762097 \n", + "8 P8-D9 0.0 12 6.541494 \n", + "9 P8-D9 1.0 2 439.747028 \n", + "10 P4-E9 0.0 27 1.536659 \n", + "11 P4-E9 1.0 2 438.938486 \n", + "12 P3-E9 0.0 8 10.378221 \n", + "13 P3-E9 1.0 2 414.428097 \n", + "14 P8-G9 0.0 55 0.816803 \n", + "15 P8-G9 1.0 2 407.266720 \n", + "16 P20-H9 0.0 34 1.123353 \n", + "17 P20-H9 1.0 2 360.717772 \n", + "18 P6-C9 0.0 34 5.815165 \n", + "19 P6-C9 1.0 3 355.055407 \n", + "20 P7-C9 0.0 16 4.552864 \n", + "21 P7-C9 1.0 2 503.483281 \n", + "22 P6-D9 0.0 59 0.548948 \n", + "23 P6-D9 1.0 4 404.764088 \n", + "24 P10-D9 0.0 54 0.568119 \n", + "25 P10-D9 1.0 2 439.947239 \n", + "26 P7-E9 0.0 52 1.061767 \n", + "27 P7-E9 1.0 4 573.364456 \n", + "28 P11-F9 0.0 201 13.183400 \n", + "29 P11-F9 1.0 2 824.220550 \n", + "30 P4-H9 0.0 44 0.557229 \n", + "31 P4-H9 1.0 1 517.975443 \n", + "32 P6-B9 0.0 68 2.446237 \n", + "33 P6-B9 1.0 1 656.428725 \n", + "34 P8-B9 0.0 64 0.430741 \n", + "35 P8-B9 1.0 1 602.941711 \n", + "36 P7-B9 0.0 73 0.641138 \n", + "37 P7-B9 1.0 1 1369.917450 \n", + "38 P3-A9 0.0 48 1.359763 \n", + "39 P7-D9 0.0 26 31.638595 \n", + "40 P7-D9 1.0 1 443.882146 \n", + "41 P2-E9 0.0 7 1.095658 \n", + "42 P2-E9 1.0 2 446.831401 \n", + "43 P13-F9 0.0 36 0.533039 \n", + "44 P13-F9 1.0 1 736.743949 \n", + "45 P9-G9 0.0 56 5.597644 \n", + "46 P9-G9 1.0 2 789.691934 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grouped_data = pd.read_csv(r'./data\\measure_props_Morphology_grouped.csv')\n", + "display(grouped_data.shape)\n", + "grouped_data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Interpreting the results\n", + "\n", + "Now, you should be able to place this easily into your stats program of choice (mine is using Python!). Note how we have shown in the first image that there are 15 labels with a DAPI class of zero, meaning that this label does not contain a nucleus and there is 1 label with a DAPI Class of 1 (meaning that it is alive, based on a previous classifier employed with APOC Widget). This also shows for example that the `area_mean` is larger for an alive cell, compared to whatever debris there must be that doesn't have a nucleus. \n", + "\n", + "This is also useful for grouping your data to double check that the results intuitively make sense. You should also make sure to check through your labels. You can try `napari-ndev:ImageOverview` for that. It will be added to the widgets soon, to quickly have overview .png files to scroll through on any system. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bastian-lab", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/pixel-class-viewer.cl b/docs/examples/pixel-class-viewer.cl new file mode 100644 index 0000000..8a0501c --- /dev/null +++ b/docs/examples/pixel-class-viewer.cl @@ -0,0 +1,12128 @@ +/* +OpenCL RandomForestClassifier +classifier_class_name = PixelClassifier +feature_specification = original gaussian_blur=1 gaussian_blur=5 difference_of_gaussian=1 difference_of_gaussian=5 laplace_box_of_gaussian_blur=1 laplace_box_of_gaussian_blur=5 sobel_of_gaussian_blur=1 sobel_of_gaussian_blur=5 small_hessian_eigenvalue_of_gaussian_blur=1 small_hessian_eigenvalue_of_gaussian_blur=5 large_hessian_eigenvalue_of_gaussian_blur=1 large_hessian_eigenvalue_of_gaussian_blur=5 top_hat_sphere=10 top_hat_sphere=30 +num_ground_truth_dimensions = 2 +num_classes = 2 +num_features = 30 +max_depth = 4 +num_trees = 250 +feature_importances = 0.02654092520266392,0.06613552803874709,0.001566017177391052,0.0003636352685905935,0.135896869189673,0.0005141305421910241,0.13967781132839638,0.010672598291900252,0.00039261621236488564,0.0005662613770895635,0.039766680852345776,0.0006431900363683404,0.00045858573006909,0.0056667808617208585,0.05361095834351601,0.05752339960020035,0.13644810354589404,0.010068636133450852,0.00027147805154101534,0.013208663701625375,0.0003597755556812797,0.01777178707213274,0.013916273168642468,0.0003378894064009888,0.002630536162382611,0.15249104498016391,0.0014527295150244758,0.0006282494749546376,0.0250201231974623,0.08539872198141497 +apoc_version = 0.12.0 +*/ +__kernel void predict (IMAGE_in0_TYPE in0, IMAGE_in1_TYPE in1, IMAGE_in2_TYPE in2, IMAGE_in3_TYPE in3, IMAGE_in4_TYPE in4, IMAGE_in5_TYPE in5, IMAGE_in6_TYPE in6, IMAGE_in7_TYPE in7, IMAGE_in8_TYPE in8, IMAGE_in9_TYPE in9, IMAGE_in10_TYPE in10, IMAGE_in11_TYPE in11, IMAGE_in12_TYPE in12, IMAGE_in13_TYPE in13, IMAGE_in14_TYPE in14, IMAGE_in15_TYPE in15, IMAGE_in16_TYPE in16, IMAGE_in17_TYPE in17, IMAGE_in18_TYPE in18, IMAGE_in19_TYPE in19, IMAGE_in20_TYPE in20, IMAGE_in21_TYPE in21, IMAGE_in22_TYPE in22, IMAGE_in23_TYPE in23, IMAGE_in24_TYPE in24, IMAGE_in25_TYPE in25, IMAGE_in26_TYPE in26, IMAGE_in27_TYPE in27, IMAGE_in28_TYPE in28, IMAGE_in29_TYPE in29, IMAGE_out_TYPE out) { + sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST; + const int x = get_global_id(0); + const int y = get_global_id(1); + const int z = get_global_id(2); + float i0 = READ_IMAGE(in0, sampler, POS_in0_INSTANCE(x,y,z,0)).x; + float i1 = READ_IMAGE(in1, sampler, POS_in1_INSTANCE(x,y,z,0)).x; + float i2 = READ_IMAGE(in2, sampler, POS_in2_INSTANCE(x,y,z,0)).x; + float i3 = READ_IMAGE(in3, sampler, POS_in3_INSTANCE(x,y,z,0)).x; + float i4 = READ_IMAGE(in4, sampler, POS_in4_INSTANCE(x,y,z,0)).x; + float i5 = READ_IMAGE(in5, sampler, POS_in5_INSTANCE(x,y,z,0)).x; + float i6 = READ_IMAGE(in6, sampler, POS_in6_INSTANCE(x,y,z,0)).x; + float i7 = READ_IMAGE(in7, sampler, POS_in7_INSTANCE(x,y,z,0)).x; + float i8 = READ_IMAGE(in8, sampler, POS_in8_INSTANCE(x,y,z,0)).x; + float i9 = READ_IMAGE(in9, sampler, POS_in9_INSTANCE(x,y,z,0)).x; + float i10 = READ_IMAGE(in10, sampler, POS_in10_INSTANCE(x,y,z,0)).x; + float i11 = READ_IMAGE(in11, sampler, POS_in11_INSTANCE(x,y,z,0)).x; + float i12 = READ_IMAGE(in12, sampler, POS_in12_INSTANCE(x,y,z,0)).x; + float i13 = READ_IMAGE(in13, sampler, POS_in13_INSTANCE(x,y,z,0)).x; + float i14 = READ_IMAGE(in14, sampler, POS_in14_INSTANCE(x,y,z,0)).x; + float i15 = READ_IMAGE(in15, sampler, POS_in15_INSTANCE(x,y,z,0)).x; + float i16 = READ_IMAGE(in16, sampler, POS_in16_INSTANCE(x,y,z,0)).x; + float i17 = READ_IMAGE(in17, sampler, POS_in17_INSTANCE(x,y,z,0)).x; + float i18 = READ_IMAGE(in18, sampler, POS_in18_INSTANCE(x,y,z,0)).x; + float i19 = READ_IMAGE(in19, sampler, POS_in19_INSTANCE(x,y,z,0)).x; + float i20 = READ_IMAGE(in20, sampler, POS_in20_INSTANCE(x,y,z,0)).x; + float i21 = READ_IMAGE(in21, sampler, POS_in21_INSTANCE(x,y,z,0)).x; + float i22 = READ_IMAGE(in22, sampler, POS_in22_INSTANCE(x,y,z,0)).x; + float i23 = READ_IMAGE(in23, sampler, POS_in23_INSTANCE(x,y,z,0)).x; + float i24 = READ_IMAGE(in24, sampler, POS_in24_INSTANCE(x,y,z,0)).x; + float i25 = READ_IMAGE(in25, sampler, POS_in25_INSTANCE(x,y,z,0)).x; + float i26 = READ_IMAGE(in26, sampler, POS_in26_INSTANCE(x,y,z,0)).x; + float i27 = READ_IMAGE(in27, sampler, POS_in27_INSTANCE(x,y,z,0)).x; + float i28 = READ_IMAGE(in28, sampler, POS_in28_INSTANCE(x,y,z,0)).x; + float i29 = READ_IMAGE(in29, sampler, POS_in29_INSTANCE(x,y,z,0)).x; + float s0=0; + float s1=0; +if(i16<721.056640625){ + if(i6<1.114501953125){ + if(i1<986.6383056640625){ + if(i25<-3.3511548042297363){ + s0+=2.0; + } else { + s0+=3.0; + s1+=3364.0; + } + } else { + s0+=6.0; + } + } else { + if(i8<221.05624389648438){ + s0+=119.0; + } else { + if(i21<-3.982177734375){ + s1+=3.0; + } else { + s0+=26.0; + } + } + } +} else { + if(i16<824.3407592773438){ + if(i1<905.6160888671875){ + if(i10<-0.29825010895729065){ + s0+=46.0; + s1+=2.0; + } else { + s1+=34.0; + } + } else { + s0+=258.0; + } + } else { + s0+=2552.0; + } +} +if(i29<177.5){ + if(i4<2.023223876953125){ + if(i13<385.0){ + if(i5<-170.04605102539062){ + s0+=1.0; + s1+=6.0; + } else { + s1+=3350.0; + } + } else { + s0+=1.0; + } + } else { + if(i19<-16.031158447265625){ + if(i25<-3.0410354137420654){ + s0+=2.0; + } else { + s1+=6.0; + } + } else { + if(i27<3.664736032485962){ + s0+=155.0; + } else { + s0+=11.0; + s1+=1.0; + } + } + } +} else { + if(i17<677.0584106445312){ + if(i12<0.08229662477970123){ + if(i23<8.861454963684082){ + s1+=1.0; + } else { + s0+=3.0; + } + } else { + if(i11<43.607940673828125){ + s1+=80.0; + } else { + s0+=3.0; + } + } + } else { + if(i25<-1.2063809633255005){ + if(i10<0.2823542058467865){ + s0+=2758.0; + s1+=4.0; + } else { + s1+=3.0; + } + } else { + if(i1<1002.68994140625){ + s1+=16.0; + } else { + s0+=14.0; + } + } + } +} +if(i17<700.8696899414062){ + if(i6<1.044647216796875){ + if(i1<986.6383056640625){ + s1+=3176.0; + } else { + if(i16<663.4383544921875){ + s0+=7.0; + } else { + s1+=2.0; + } + } + } else { + s0+=96.0; + } +} else { + if(i29<151.0){ + if(i19<-11.331298828125){ + if(i7<1137.3377685546875){ + s1+=212.0; + } else { + s0+=1.0; + s1+=1.0; + } + } else { + if(i17<704.393798828125){ + s0+=2.0; + s1+=4.0; + } else { + s0+=26.0; + } + } + } else { + if(i10<-0.048062123358249664){ + if(i28<157.5){ + s0+=179.0; + s1+=5.0; + } else { + s0+=2678.0; + s1+=1.0; + } + } else { + s1+=25.0; + } + } +} +if(i10<-0.8585234880447388){ + if(i4<-22.44329833984375){ + if(i29<253.5){ + if(i24<15.377490043640137){ + s1+=131.0; + } else { + s0+=1.0; + } + } else { + s0+=3.0; + } + } else { + if(i13<160.5){ + if(i25<-1.2506463527679443){ + s0+=243.0; + s1+=4.0; + } else { + s0+=4.0; + s1+=46.0; + } + } else { + if(i21<-2.040313720703125){ + s0+=221.0; + s1+=4.0; + } else { + s0+=2349.0; + } + } + } +} else { + if(i19<6.42230224609375){ + if(i17<1005.649169921875){ + if(i26<44.305477142333984){ + s1+=3281.0; + } else { + s0+=4.0; + s1+=12.0; + } + } else { + s0+=2.0; + } + } else { + s0+=110.0; + } +} +if(i28<167.5){ + if(i16<658.8572998046875){ + if(i1<968.262451171875){ + if(i19<4.910919189453125){ + s1+=3207.0; + } else { + s0+=1.0; + } + } else { + if(i4<-14.8583984375){ + s1+=1.0; + } else { + s0+=56.0; + } + } + } else { + if(i10<-0.5232759714126587){ + if(i4<-7.521942138671875){ + s1+=15.0; + } else { + s0+=270.0; + s1+=7.0; + } + } else { + if(i17<1005.649169921875){ + s1+=172.0; + } else { + s0+=6.0; + } + } + } +} else { + if(i1<855.1314697265625){ + if(i16<790.8289794921875){ + if(i20<-7.555755615234375){ + s0+=24.0; + } else { + s1+=73.0; + } + } else { + if(i10<-0.10119396448135376){ + s0+=158.0; + } else { + s1+=1.0; + } + } + } else { + if(i6<-8.9102783203125){ + if(i27<10.075751304626465){ + s0+=16.0; + } else { + s1+=3.0; + } + } else { + if(i14<219.5){ + s0+=75.0; + s1+=1.0; + } else { + s0+=2329.0; + } + } + } +} +if(i29<192.5){ + if(i10<-2.945740222930908){ + if(i4<-7.1387939453125){ + if(i24<9.44710922241211){ + s1+=20.0; + } else { + s0+=1.0; + } + } else { + if(i23<634.505859375){ + s0+=163.0; + } else { + s1+=2.0; + } + } + } else { + if(i16<763.7996826171875){ + if(i22<497.3404541015625){ + s0+=2.0; + s1+=3398.0; + } else { + s0+=5.0; + s1+=1.0; + } + } else { + if(i19<-27.226715087890625){ + s1+=1.0; + } else { + s0+=13.0; + } + } + } +} else { + if(i16<741.3416137695312){ + if(i17<676.9711303710938){ + if(i14<433.5){ + s1+=48.0; + } else { + s0+=2.0; + } + } else { + if(i14<69.5){ + s1+=1.0; + } else { + s0+=55.0; + s1+=1.0; + } + } + } else { + if(i10<-0.2696337103843689){ + if(i21<-10.53936767578125){ + s0+=74.0; + s1+=3.0; + } else { + s0+=2606.0; + } + } else { + if(i23<552.0811767578125){ + s1+=17.0; + } else { + s0+=2.0; + } + } + } +} +if(i29<183.5){ + if(i1<959.8169555664062){ + if(i9<17.64706039428711){ + if(i20<-147.69207763671875){ + s0+=3.0; + s1+=6.0; + } else { + s1+=3379.0; + } + } else { + if(i18<-3.423248291015625){ + s0+=2.0; + } else { + s1+=6.0; + } + } + } else { + if(i8<490.08441162109375){ + s0+=174.0; + } else { + if(i9<-0.9596071243286133){ + s0+=12.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i6<-0.03985595703125){ + if(i22<467.6436462402344){ + if(i0<947.0){ + s1+=80.0; + } else { + s0+=10.0; + s1+=1.0; + } + } else { + if(i29<222.0){ + s0+=6.0; + s1+=10.0; + } else { + s0+=115.0; + } + } + } else { + if(i8<4.140811920166016){ + if(i0<930.0){ + s1+=1.0; + } else { + s0+=4.0; + } + } else { + if(i29<263.0){ + s0+=198.0; + s1+=2.0; + } else { + s0+=2405.0; + } + } + } +} +if(i16<720.560302734375){ + if(i6<0.976470947265625){ + if(i22<493.99053955078125){ + if(i0<990.5){ + s0+=1.0; + s1+=3371.0; + } else { + s0+=4.0; + s1+=1.0; + } + } else { + if(i12<1.8643052577972412){ + s0+=5.0; + } else { + s1+=1.0; + } + } + } else { + if(i26<18.788209915161133){ + if(i23<142.25823974609375){ + s0+=120.0; + } else { + s1+=1.0; + } + } else { + if(i27<3.0579240322113037){ + s0+=35.0; + } else { + s1+=5.0; + } + } + } +} else { + if(i17<694.4827880859375){ + if(i13<262.5){ + s1+=28.0; + } else { + s0+=3.0; + } + } else { + if(i10<-0.11593285202980042){ + if(i28<116.0){ + s0+=65.0; + s1+=6.0; + } else { + s0+=2756.0; + } + } else { + s1+=13.0; + } + } +} +if(i25<-1.3571531772613525){ + if(i10<-0.23852677643299103){ + if(i14<98.0){ + if(i19<-3.506317138671875){ + s1+=8.0; + } else { + s0+=32.0; + } + } else { + if(i28<123.5){ + s0+=130.0; + s1+=5.0; + } else { + s0+=2699.0; + s1+=1.0; + } + } + } else { + if(i27<4.484174728393555){ + s0+=2.0; + } else { + s1+=37.0; + } + } +} else { + if(i6<1.039154052734375){ + if(i7<654.560302734375){ + if(i11<52.815284729003906){ + s1+=3416.0; + } else { + s0+=1.0; + } + } else { + s0+=4.0; + } + } else { + if(i1<985.16748046875){ + s1+=2.0; + } else { + s0+=78.0; + } + } +} +if(i6<0.847625732421875){ + if(i1<968.262451171875){ + if(i15<912.0){ + if(i28<191.5){ + s0+=15.0; + s1+=3412.0; + } else { + s0+=15.0; + s1+=32.0; + } + } else { + s0+=33.0; + } + } else { + if(i28<105.5){ + if(i18<-10.08514404296875){ + s0+=5.0; + } else { + s1+=2.0; + } + } else { + s0+=141.0; + } + } +} else { + if(i17<608.551513671875){ + s1+=7.0; + } else { + if(i15<600.5){ + if(i19<-8.025848388671875){ + s1+=1.0; + } else { + s0+=6.0; + } + } else { + if(i21<-10.65985107421875){ + s0+=92.0; + s1+=4.0; + } else { + s0+=2649.0; + s1+=1.0; + } + } + } +} +if(i15<709.5){ + if(i25<-1.1870014667510986){ + if(i27<3.7598536014556885){ + s0+=120.0; + } else { + if(i7<508.3232727050781){ + s0+=3.0; + s1+=44.0; + } else { + s0+=5.0; + } + } + } else { + if(i0<960.0){ + if(i3<-19.35662841796875){ + s0+=3.0; + s1+=2.0; + } else { + s1+=3241.0; + } + } else { + if(i6<-2.71868896484375){ + s1+=3.0; + } else { + s0+=51.0; + } + } + } +} else { + if(i28<242.5){ + if(i25<-1.2110532522201538){ + if(i13<184.5){ + s0+=36.0; + s1+=10.0; + } else { + s0+=337.0; + } + } else { + if(i13<375.0){ + s1+=71.0; + } else { + s0+=2.0; + } + } + } else { + if(i16<772.7906494140625){ + if(i6<-0.331817626953125){ + s1+=10.0; + } else { + s0+=10.0; + } + } else { + if(i25<-1.058555245399475){ + s0+=2448.0; + } else { + s0+=15.0; + s1+=4.0; + } + } + } +} +if(i16<721.056640625){ + if(i1<968.262451171875){ + if(i29<207.5){ + if(i21<4.595947265625){ + s0+=2.0; + s1+=3361.0; + } else { + s0+=4.0; + } + } else { + if(i17<681.00830078125){ + s1+=16.0; + } else { + s0+=7.0; + } + } + } else { + s0+=139.0; + } +} else { + if(i21<-0.90087890625){ + if(i1<925.957763671875){ + if(i12<3.482511281967163){ + s0+=4.0; + s1+=42.0; + } else { + s0+=8.0; + } + } else { + if(i0<928.0){ + s0+=1.0; + s1+=1.0; + } else { + s0+=203.0; + s1+=1.0; + } + } + } else { + if(i10<-0.36446741223335266){ + s0+=2606.0; + } else { + if(i21<10.343719482421875){ + s1+=6.0; + } else { + s0+=14.0; + } + } + } +} +if(i25<-1.1907103061676025){ + if(i21<-10.594573974609375){ + if(i0<977.5){ + if(i27<12.725740432739258){ + s0+=5.0; + s1+=66.0; + } else { + s0+=4.0; + } + } else { + s0+=65.0; + } + } else { + if(i29<68.0){ + if(i7<1059.8486328125){ + s1+=1.0; + } else { + s0+=1.0; + } + } else { + s0+=2819.0; + } + } +} else { + if(i14<265.0){ + if(i1<986.007568359375){ + s1+=3383.0; + } else { + if(i2<1157.3310546875){ + s0+=6.0; + } else { + s1+=2.0; + } + } + } else { + s0+=63.0; + } +} +if(i4<1.533966064453125){ + if(i15<880.5){ + if(i25<-2.419872760772705){ + if(i26<17.35248374938965){ + s1+=4.0; + } else { + s0+=28.0; + s1+=3.0; + } + } else { + if(i29<288.5){ + s0+=6.0; + s1+=3398.0; + } else { + s0+=1.0; + s1+=6.0; + } + } + } else { + if(i29<375.0){ + s1+=1.0; + } else { + s0+=157.0; + } + } +} else { + if(i10<-0.300218403339386){ + if(i21<-41.374908447265625){ + if(i23<635.8715209960938){ + s0+=3.0; + } else { + s1+=2.0; + } + } else { + if(i16<719.5187377929688){ + s0+=150.0; + s1+=4.0; + } else { + s0+=2648.0; + s1+=1.0; + } + } + } else { + s1+=3.0; + } +} +if(i15<715.5){ + if(i2<1044.2034912109375){ + if(i1<962.334228515625){ + if(i19<5.3934326171875){ + s1+=3243.0; + } else { + s0+=15.0; + } + } else { + s0+=21.0; + } + } else { + if(i1<968.2188720703125){ + if(i6<5.743011474609375){ + s1+=70.0; + } else { + s0+=2.0; + } + } else { + if(i28<86.5){ + s0+=52.0; + s1+=1.0; + } else { + s0+=115.0; + } + } + } +} else { + if(i10<-0.3067891001701355){ + if(i21<-45.182342529296875){ + s1+=4.0; + } else { + if(i4<-3.016632080078125){ + s0+=101.0; + s1+=8.0; + } else { + s0+=2692.0; + s1+=2.0; + } + } + } else { + if(i21<11.352630615234375){ + s1+=86.0; + } else { + s0+=3.0; + } + } +} +if(i1<907.7813110351562){ + if(i26<30.929073333740234){ + if(i16<820.9100952148438){ + if(i6<1.1719970703125){ + s1+=3413.0; + } else { + s0+=2.0; + } + } else { + s0+=85.0; + } + } else { + if(i4<-1.38201904296875){ + if(i29<266.0){ + s1+=38.0; + } else { + s0+=7.0; + s1+=1.0; + } + } else { + s0+=156.0; + } + } +} else { + if(i16<654.9111938476562){ + if(i7<514.1669921875){ + s1+=26.0; + } else { + if(i12<6.3328094482421875){ + s0+=35.0; + } else { + s1+=4.0; + } + } + } else { + if(i1<935.5882568359375){ + if(i29<347.0){ + s0+=1.0; + s1+=7.0; + } else { + s0+=36.0; + } + } else { + if(i0<985.5){ + s0+=124.0; + s1+=4.0; + } else { + s0+=2476.0; + } + } + } +} +if(i22<213.14727783203125){ + if(i6<1.4921875){ + if(i1<986.6383056640625){ + s1+=3284.0; + } else { + if(i8<368.6029968261719){ + s0+=10.0; + } else { + s1+=1.0; + } + } + } else { + if(i19<-14.4786376953125){ + if(i10<-1.6033580303192139){ + s0+=3.0; + } else { + s1+=2.0; + } + } else { + s0+=207.0; + } + } +} else { + if(i17<703.3245239257812){ + if(i5<163.775390625){ + if(i10<-2.0143074989318848){ + s0+=11.0; + } else { + s1+=148.0; + } + } else { + s0+=21.0; + } + } else { + if(i25<-1.5291919708251953){ + if(i28<91.0){ + s0+=44.0; + s1+=17.0; + } else { + s0+=2617.0; + s1+=11.0; + } + } else { + if(i29<336.5){ + s1+=25.0; + } else { + s0+=14.0; + } + } + } +} +if(i4<1.5306396484375){ + if(i19<6.318023681640625){ + if(i26<34.75830841064453){ + if(i28<360.0){ + s0+=6.0; + s1+=3417.0; + } else { + s0+=18.0; + } + } else { + if(i7<182.04322814941406){ + s1+=18.0; + } else { + s0+=15.0; + s1+=5.0; + } + } + } else { + s0+=160.0; + } +} else { + if(i6<0.922271728515625){ + if(i25<-0.5726049542427063){ + s0+=8.0; + } else { + s1+=4.0; + } + } else { + if(i5<-514.4239501953125){ + if(i17<1065.0982666015625){ + s1+=2.0; + } else { + s0+=7.0; + } + } else { + if(i27<6.007364749908447){ + s0+=2611.0; + } else { + s0+=138.0; + s1+=6.0; + } + } + } +} +if(i6<0.922210693359375){ + if(i25<-2.4370980262756348){ + if(i19<-19.993133544921875){ + if(i12<3.862901210784912){ + s1+=14.0; + } else { + s0+=4.0; + } + } else { + s0+=186.0; + } + } else { + if(i26<36.546913146972656){ + if(i7<640.3209228515625){ + s1+=3440.0; + } else { + s0+=5.0; + s1+=3.0; + } + } else { + if(i28<121.5){ + s0+=1.0; + s1+=6.0; + } else { + s0+=4.0; + } + } + } +} else { + if(i25<1.9753755331039429){ + if(i21<-7.085784912109375){ + if(i28<129.5){ + s0+=7.0; + s1+=11.0; + } else { + s0+=101.0; + } + } else { + if(i19<-8.49951171875){ + s0+=40.0; + s1+=1.0; + } else { + s0+=2591.0; + } + } + } else { + s1+=1.0; + } +} +if(i28<162.0){ + if(i14<244.0){ + if(i25<-1.7776761054992676){ + if(i21<-3.2353515625){ + s0+=5.0; + s1+=37.0; + } else { + s0+=21.0; + } + } else { + if(i1<983.0477905273438){ + s1+=3296.0; + } else { + s0+=4.0; + } + } + } else { + if(i18<-2.510406494140625){ + s0+=184.0; + } else { + if(i16<650.7310791015625){ + s0+=14.0; + s1+=4.0; + } else { + s0+=72.0; + } + } + } +} else { + if(i29<222.5){ + if(i4<0.25103759765625){ + if(i11<26.29192352294922){ + s1+=53.0; + } else { + s0+=2.0; + } + } else { + s0+=44.0; + } + } else { + if(i29<273.5){ + if(i20<85.49392700195312){ + s0+=115.0; + } else { + s0+=4.0; + s1+=18.0; + } + } else { + if(i0<885.0){ + s0+=191.0; + s1+=10.0; + } else { + s0+=2341.0; + } + } + } +} +if(i16<702.817626953125){ + if(i16<653.2630615234375){ + if(i10<-5.2533416748046875){ + if(i27<6.977862358093262){ + s0+=33.0; + } else { + s1+=4.0; + } + } else { + if(i2<1288.6092529296875){ + s0+=2.0; + s1+=3170.0; + } else { + s0+=1.0; + } + } + } else { + if(i4<0.558868408203125){ + if(i24<15.853174209594727){ + s0+=1.0; + s1+=182.0; + } else { + s0+=2.0; + } + } else { + if(i1<964.2913208007812){ + s0+=5.0; + s1+=5.0; + } else { + s0+=73.0; + } + } + } +} else { + if(i1<908.4804077148438){ + if(i28<255.0){ + if(i21<3.800048828125){ + s0+=5.0; + s1+=69.0; + } else { + s0+=34.0; + } + } else { + if(i29<380.5){ + s0+=34.0; + s1+=9.0; + } else { + s0+=186.0; + } + } + } else { + if(i19<-17.0267333984375){ + if(i16<721.8070678710938){ + s1+=3.0; + } else { + s0+=87.0; + s1+=3.0; + } + } else { + s0+=2507.0; + } + } +} +if(i25<-1.1054859161376953){ + if(i10<-0.3021577000617981){ + if(i14<98.0){ + if(i1<873.9072265625){ + s0+=22.0; + } else { + s1+=5.0; + } + } else { + if(i19<-8.523284912109375){ + s0+=143.0; + s1+=5.0; + } else { + s0+=2683.0; + } + } + } else { + if(i23<558.7755126953125){ + s1+=74.0; + } else { + s0+=6.0; + } + } +} else { + if(i2<1066.5400390625){ + if(i17<1116.7705078125){ + s1+=3346.0; + } else { + s0+=6.0; + } + } else { + if(i8<362.8620300292969){ + s0+=64.0; + } else { + if(i0<1249.5){ + s1+=59.0; + } else { + s0+=2.0; + } + } + } +} +if(i16<724.1021728515625){ + if(i3<10.075714111328125){ + if(i7<553.3739624023438){ + if(i6<0.976470947265625){ + s0+=1.0; + s1+=3392.0; + } else { + s0+=7.0; + s1+=5.0; + } + } else { + if(i6<1.14166259765625){ + s0+=1.0; + s1+=5.0; + } else { + s0+=70.0; + s1+=2.0; + } + } + } else { + if(i2<955.8388671875){ + s1+=6.0; + } else { + s0+=71.0; + } + } +} else { + if(i17<694.4827880859375){ + if(i7<334.8373107910156){ + s1+=21.0; + } else { + s0+=4.0; + } + } else { + if(i16<786.819091796875){ + if(i6<-1.380523681640625){ + s0+=7.0; + s1+=9.0; + } else { + s0+=148.0; + s1+=3.0; + } + } else { + if(i10<0.03206095099449158){ + s0+=2661.0; + } else { + s0+=1.0; + s1+=1.0; + } + } + } +} +if(i6<0.922210693359375){ + if(i22<485.7025451660156){ + if(i25<-5.528141498565674){ + s0+=7.0; + } else { + if(i0<990.5){ + s0+=1.0; + s1+=3438.0; + } else { + s0+=5.0; + s1+=2.0; + } + } + } else { + if(i28<112.5){ + if(i12<4.623683452606201){ + s1+=9.0; + } else { + s0+=3.0; + } + } else { + if(i10<0.03349792957305908){ + s0+=168.0; + } else { + s0+=1.0; + s1+=5.0; + } + } + } +} else { + if(i27<4.898275375366211){ + if(i15<600.5){ + if(i25<-1.0570385456085205){ + s1+=1.0; + } else { + s0+=1.0; + } + } else { + s0+=2551.0; + } + } else { + if(i1<962.43798828125){ + if(i14<220.0){ + s1+=6.0; + } else { + s0+=3.0; + } + } else { + if(i8<770.133544921875){ + s0+=213.0; + } else { + s1+=1.0; + } + } + } +} +if(i16<717.8240966796875){ + if(i0<973.5){ + if(i20<-144.408203125){ + if(i17<804.64306640625){ + s0+=4.0; + } else { + s0+=1.0; + s1+=3.0; + } + } else { + if(i21<4.5455322265625){ + s0+=9.0; + s1+=3349.0; + } else { + s0+=3.0; + } + } + } else { + if(i7<231.14254760742188){ + if(i1<1104.0487060546875){ + s1+=2.0; + } else { + s0+=3.0; + } + } else { + s0+=130.0; + } + } +} else { + if(i10<-0.36595413088798523){ + if(i4<-33.2276611328125){ + s1+=1.0; + } else { + if(i21<-10.65985107421875){ + s0+=110.0; + s1+=3.0; + } else { + s0+=2735.0; + } + } + } else { + if(i26<36.19761276245117){ + if(i23<413.02557373046875){ + s1+=47.0; + } else { + s0+=2.0; + } + } else { + if(i1<832.3436279296875){ + s0+=9.0; + } else { + s0+=1.0; + s1+=3.0; + } + } + } +} +if(i4<1.518096923828125){ + if(i26<38.04489517211914){ + if(i25<-3.389638900756836){ + s0+=73.0; + } else { + if(i14<275.0){ + s0+=2.0; + s1+=3486.0; + } else { + s0+=2.0; + } + } + } else { + if(i16<818.9649658203125){ + if(i21<-11.837188720703125){ + s0+=2.0; + s1+=14.0; + } else { + s0+=11.0; + } + } else { + s0+=88.0; + } + } +} else { + if(i10<-0.28494444489479065){ + if(i19<-11.87591552734375){ + if(i3<-6.652557373046875){ + s0+=3.0; + s1+=8.0; + } else { + s0+=125.0; + s1+=2.0; + } + } else { + s0+=2598.0; + } + } else { + s1+=1.0; + } +} +if(i29<187.5){ + if(i7<437.72052001953125){ + if(i19<5.096710205078125){ + if(i11<-25.55872917175293){ + s0+=3.0; + } else { + s0+=8.0; + s1+=3395.0; + } + } else { + s0+=11.0; + } + } else { + if(i12<6.37477445602417){ + if(i18<2.937530517578125){ + s0+=150.0; + } else { + s0+=9.0; + s1+=1.0; + } + } else { + if(i9<-56.08625793457031){ + s0+=1.0; + } else { + s1+=6.0; + } + } + } +} else { + if(i17<675.7398681640625){ + if(i13<345.5){ + s1+=64.0; + } else { + s0+=3.0; + } + } else { + if(i16<824.68212890625){ + if(i10<-0.2806382477283478){ + s0+=237.0; + } else { + s0+=1.0; + s1+=15.0; + } + } else { + s0+=2511.0; + } + } +} +if(i14<217.5){ + if(i25<-3.139388084411621){ + if(i27<7.422722816467285){ + s0+=220.0; + } else { + if(i6<-8.23748779296875){ + s0+=6.0; + } else { + s1+=7.0; + } + } + } else { + if(i16<716.7169189453125){ + if(i19<5.3934326171875){ + s0+=6.0; + s1+=3367.0; + } else { + s0+=6.0; + } + } else { + if(i1<892.8863525390625){ + s0+=2.0; + s1+=44.0; + } else { + s0+=6.0; + s1+=1.0; + } + } + } +} else { + if(i25<-0.4097781181335449){ + if(i25<-0.6409924626350403){ + if(i10<-0.1806327849626541){ + s0+=2668.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=1.0; + } + } else { + if(i4<3.924957275390625){ + s1+=9.0; + } else { + s0+=28.0; + } + } + } else { + if(i10<-2.2549753189086914){ + s0+=16.0; + } else { + s1+=26.0; + } + } +} +if(i25<-1.196779489517212){ + if(i28<123.5){ + if(i23<171.48211669921875){ + s0+=71.0; + } else { + if(i10<-2.1807007789611816){ + s0+=47.0; + } else { + s0+=6.0; + s1+=61.0; + } + } + } else { + if(i19<-17.869110107421875){ + if(i27<8.266044616699219){ + s1+=2.0; + } else { + s0+=69.0; + s1+=2.0; + } + } else { + s0+=2637.0; + } + } +} else { + if(i12<-0.3524988889694214){ + s0+=19.0; + } else { + if(i0<989.5){ + if(i0<979.0){ + s0+=5.0; + s1+=3451.0; + } else { + s0+=1.0; + s1+=2.0; + } + } else { + s0+=42.0; + } + } +} +if(i6<0.851318359375){ + if(i25<-2.419872760772705){ + if(i29<139.0){ + s1+=4.0; + } else { + if(i16<832.294189453125){ + s0+=23.0; + s1+=4.0; + } else { + s0+=170.0; + } + } + } else { + if(i24<22.34170913696289){ + if(i18<-13.17767333984375){ + s0+=2.0; + } else { + s0+=3.0; + s1+=3483.0; + } + } else { + s0+=3.0; + } + } +} else { + if(i29<77.5){ + if(i6<7.56854248046875){ + s1+=7.0; + } else { + s0+=3.0; + } + } else { + if(i21<-9.201629638671875){ + if(i1<980.3540649414062){ + s0+=2.0; + s1+=14.0; + } else { + s0+=98.0; + } + } else { + if(i6<0.922210693359375){ + s0+=6.0; + s1+=1.0; + } else { + s0+=2590.0; + s1+=2.0; + } + } + } +} +if(i4<1.505157470703125){ + if(i22<485.7025451660156){ + if(i11<48.09831619262695){ + if(i21<3.441162109375){ + s0+=4.0; + s1+=3452.0; + } else { + s0+=6.0; + } + } else { + if(i28<43.0){ + s1+=3.0; + } else { + s0+=10.0; + } + } + } else { + if(i19<-24.210479736328125){ + if(i5<-71.07113647460938){ + s0+=1.0; + } else { + s1+=6.0; + } + } else { + if(i29<223.0){ + s0+=7.0; + s1+=5.0; + } else { + s0+=165.0; + } + } + } +} else { + if(i23<3.4922804832458496){ + if(i28<96.5){ + s1+=4.0; + } else { + s0+=3.0; + } + } else { + if(i19<-69.48440551757812){ + if(i0<1015.0){ + s1+=2.0; + } else { + s0+=2.0; + } + } else { + if(i15<725.5){ + s0+=196.0; + s1+=7.0; + } else { + s0+=2542.0; + } + } + } +} +if(i6<0.851318359375){ + if(i16<818.9649658203125){ + if(i25<-2.458609104156494){ + if(i17<807.71826171875){ + s0+=6.0; + } else { + s0+=5.0; + s1+=14.0; + } + } else { + if(i0<1151.0){ + s0+=2.0; + s1+=3390.0; + } else { + s0+=1.0; + } + } + } else { + s0+=192.0; + } +} else { + if(i23<3.6855273246765137){ + s1+=5.0; + } else { + if(i29<45.5){ + s1+=3.0; + } else { + if(i16<676.0744018554688){ + s0+=100.0; + s1+=4.0; + } else { + s0+=2691.0; + s1+=2.0; + } + } + } +} +if(i16<724.9407348632812){ + if(i6<1.044647216796875){ + if(i21<3.433319091796875){ + if(i3<-14.039581298828125){ + s0+=5.0; + s1+=3.0; + } else { + s0+=4.0; + s1+=3326.0; + } + } else { + s0+=5.0; + } + } else { + if(i27<2.7795326709747314){ + s0+=143.0; + } else { + if(i10<-4.530379295349121){ + s0+=2.0; + } else { + s1+=7.0; + } + } + } +} else { + if(i27<4.506828308105469){ + if(i0<901.5){ + if(i29<265.0){ + s0+=10.0; + s1+=15.0; + } else { + s0+=207.0; + s1+=5.0; + } + } else { + s0+=2374.0; + } + } else { + if(i16<805.6865234375){ + if(i12<-1.0961140394210815){ + s0+=12.0; + } else { + s0+=3.0; + s1+=28.0; + } + } else { + if(i12<2.5694119930267334){ + s0+=219.0; + } else { + s0+=46.0; + s1+=1.0; + } + } + } +} +if(i10<-0.8577399253845215){ + if(i16<634.0744018554688){ + if(i27<0.5418551564216614){ + s0+=5.0; + } else { + s1+=176.0; + } + } else { + if(i4<-23.153472900390625){ + if(i18<-9.746551513671875){ + s0+=3.0; + } else { + s1+=21.0; + } + } else { + if(i4<-10.283905029296875){ + s0+=33.0; + s1+=13.0; + } else { + s0+=2820.0; + s1+=15.0; + } + } + } +} else { + if(i25<-4.1599836349487305){ + if(i27<6.701937675476074){ + s0+=96.0; + } else { + s1+=2.0; + } + } else { + if(i28<235.0){ + if(i25<-2.4370980262756348){ + s0+=5.0; + s1+=14.0; + } else { + s1+=3186.0; + } + } else { + if(i26<9.049639701843262){ + s1+=19.0; + } else { + s0+=7.0; + } + } + } +} +if(i25<-1.2301151752471924){ + if(i6<-3.57421875){ + if(i10<-0.33273017406463623){ + s0+=80.0; + } else { + if(i15<1495.0){ + s1+=45.0; + } else { + s0+=1.0; + } + } + } else { + if(i10<-0.27602553367614746){ + if(i28<157.5){ + s0+=240.0; + s1+=7.0; + } else { + s0+=2626.0; + s1+=1.0; + } + } else { + if(i12<0.5326091051101685){ + s0+=1.0; + } else { + s1+=2.0; + } + } + } +} else { + if(i4<2.023223876953125){ + if(i3<-10.771026611328125){ + if(i25<-0.37529653310775757){ + s0+=5.0; + } else { + s1+=9.0; + } + } else { + s1+=3327.0; + } + } else { + if(i23<626.512451171875){ + if(i8<204.7257080078125){ + s0+=50.0; + } else { + s0+=17.0; + s1+=2.0; + } + } else { + s1+=2.0; + } + } +} +if(i6<0.847625732421875){ + if(i22<485.7025451660156){ + if(i11<39.294044494628906){ + if(i25<-3.7505264282226562){ + s0+=6.0; + } else { + s0+=1.0; + s1+=3408.0; + } + } else { + if(i0<990.5){ + s0+=1.0; + s1+=9.0; + } else { + s0+=9.0; + } + } + } else { + if(i29<222.0){ + if(i6<-1.380523681640625){ + s0+=1.0; + s1+=12.0; + } else { + s0+=10.0; + } + } else { + if(i16<818.2022705078125){ + s0+=16.0; + s1+=4.0; + } else { + s0+=161.0; + } + } + } +} else { + if(i10<-0.278939425945282){ + if(i21<-41.120269775390625){ + if(i9<-17.807649612426758){ + s0+=3.0; + } else { + s1+=2.0; + } + } else { + if(i29<63.0){ + s0+=3.0; + s1+=1.0; + } else { + s0+=2760.0; + s1+=5.0; + } + } + } else { + s1+=3.0; + } +} +if(i16<698.9207153320312){ + if(i10<-3.9397292137145996){ + if(i21<-23.745330810546875){ + s1+=7.0; + } else { + s0+=112.0; + } + } else { + if(i22<455.88787841796875){ + if(i4<12.038909912109375){ + s0+=2.0; + s1+=3373.0; + } else { + s0+=3.0; + } + } else { + if(i10<-0.4184119701385498){ + s0+=6.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i17<677.227783203125){ + s1+=25.0; + } else { + if(i1<907.18798828125){ + if(i4<-3.043243408203125){ + s0+=4.0; + s1+=45.0; + } else { + s0+=230.0; + } + } else { + if(i10<-0.8989334106445312){ + s0+=2602.0; + s1+=2.0; + } else { + s0+=2.0; + s1+=1.0; + } + } + } +} +if(i14<219.5){ + if(i19<6.6358642578125){ + if(i20<-152.77789306640625){ + if(i1<871.6737060546875){ + s0+=8.0; + } else { + s1+=1.0; + } + } else { + if(i22<887.1619873046875){ + s0+=9.0; + s1+=3403.0; + } else { + s0+=11.0; + s1+=1.0; + } + } + } else { + s0+=222.0; + } +} else { + if(i15<658.5){ + if(i13<242.5){ + if(i26<15.928582191467285){ + s0+=4.0; + s1+=25.0; + } else { + s0+=7.0; + } + } else { + s0+=59.0; + } + } else { + if(i10<0.250262051820755){ + if(i1<935.8043212890625){ + s0+=57.0; + s1+=3.0; + } else { + s0+=2603.0; + } + } else { + s1+=2.0; + } + } +} +if(i6<0.922210693359375){ + if(i22<467.6436462402344){ + if(i25<-2.569011688232422){ + s0+=21.0; + } else { + if(i14<275.0){ + s0+=3.0; + s1+=3491.0; + } else { + s0+=3.0; + } + } + } else { + if(i25<-1.5993261337280273){ + if(i27<10.663896560668945){ + s0+=206.0; + s1+=3.0; + } else { + s1+=3.0; + } + } else { + s1+=5.0; + } + } +} else { + if(i4<4.0657958984375){ + if(i19<-14.58746337890625){ + if(i11<16.196922302246094){ + s0+=1.0; + } else { + s1+=9.0; + } + } else { + s0+=153.0; + } + } else { + if(i29<45.5){ + s1+=1.0; + } else { + if(i19<-17.869110107421875){ + s0+=88.0; + s1+=1.0; + } else { + s0+=2427.0; + } + } + } +} +if(i16<723.9259033203125){ + if(i9<-33.89753341674805){ + s0+=95.0; + } else { + if(i11<41.62395477294922){ + if(i16<683.7232055664062){ + s0+=19.0; + s1+=3271.0; + } else { + s0+=23.0; + s1+=95.0; + } + } else { + if(i17<778.7067260742188){ + s0+=36.0; + } else { + s0+=2.0; + s1+=9.0; + } + } + } +} else { + if(i16<784.8583984375){ + if(i6<-1.380523681640625){ + if(i10<-0.4041135907173157){ + s0+=3.0; + s1+=2.0; + } else { + s1+=32.0; + } + } else { + if(i23<335.9535217285156){ + s0+=162.0; + } else { + s0+=7.0; + s1+=4.0; + } + } + } else { + if(i16<824.1849365234375){ + if(i4<-6.31573486328125){ + s0+=1.0; + s1+=4.0; + } else { + s0+=101.0; + s1+=1.0; + } + } else { + s0+=2548.0; + } + } +} +if(i25<-1.1907103061676025){ + if(i14<107.5){ + if(i2<841.8857421875){ + s0+=34.0; + } else { + if(i18<-18.320831298828125){ + s0+=3.0; + } else { + s1+=45.0; + } + } + } else { + if(i21<-10.13568115234375){ + if(i0<974.0){ + s0+=15.0; + s1+=21.0; + } else { + s0+=75.0; + } + } else { + if(i27<2.8986310958862305){ + s0+=2359.0; + } else { + s0+=409.0; + s1+=3.0; + } + } + } +} else { + if(i10<-5.2533416748046875){ + if(i13<93.0){ + if(i24<-3.5511481761932373){ + s0+=1.0; + } else { + s1+=7.0; + } + } else { + if(i29<32.5){ + s1+=1.0; + } else { + s0+=61.0; + } + } + } else { + if(i22<480.15069580078125){ + if(i0<1006.0){ + s1+=3371.0; + } else { + s0+=2.0; + } + } else { + if(i4<2.560882568359375){ + s1+=2.0; + } else { + s0+=6.0; + } + } + } +} +if(i14<218.5){ + if(i16<727.8807983398438){ + if(i7<481.25982666015625){ + if(i18<-10.57757568359375){ + s0+=8.0; + s1+=3.0; + } else { + s0+=2.0; + s1+=3404.0; + } + } else { + if(i21<-6.16998291015625){ + s1+=7.0; + } else { + s0+=12.0; + } + } + } else { + if(i16<768.6901245117188){ + if(i24<-23.831283569335938){ + s0+=1.0; + s1+=20.0; + } else { + s0+=23.0; + s1+=4.0; + } + } else { + if(i17<713.4501953125){ + s1+=3.0; + } else { + s0+=217.0; + s1+=3.0; + } + } + } +} else { + if(i17<622.8132934570312){ + s1+=10.0; + } else { + if(i16<652.9985961914062){ + if(i10<-3.8238253593444824){ + s0+=28.0; + } else { + s1+=18.0; + } + } else { + if(i4<-12.197265625){ + s0+=23.0; + s1+=1.0; + } else { + s0+=2628.0; + } + } + } +} +if(i16<712.65673828125){ + if(i2<1057.38134765625){ + if(i25<-1.1590008735656738){ + if(i19<-10.90130615234375){ + s0+=1.0; + s1+=55.0; + } else { + s0+=19.0; + } + } else { + s1+=3307.0; + } + } else { + if(i21<-2.696014404296875){ + if(i26<59.920230865478516){ + s1+=46.0; + } else { + s0+=8.0; + } + } else { + if(i6<-2.61529541015625){ + s1+=10.0; + } else { + s0+=123.0; + } + } + } +} else { + if(i14<137.5){ + if(i29<276.5){ + if(i21<6.025726318359375){ + s1+=38.0; + } else { + s0+=10.0; + } + } else { + if(i12<0.7411946058273315){ + s0+=87.0; + } else { + s0+=1.0; + s1+=8.0; + } + } + } else { + if(i14<198.5){ + if(i25<-1.7657026052474976){ + s0+=108.0; + s1+=6.0; + } else { + s1+=8.0; + } + } else { + if(i29<185.0){ + s0+=64.0; + s1+=1.0; + } else { + s0+=2515.0; + } + } + } +} +if(i16<723.9259033203125){ + if(i6<0.981964111328125){ + if(i1<968.262451171875){ + if(i21<3.747161865234375){ + s0+=2.0; + s1+=3376.0; + } else { + s0+=3.0; + } + } else { + if(i7<654.560302734375){ + s0+=1.0; + s1+=1.0; + } else { + s0+=8.0; + } + } + } else { + if(i21<-6.421234130859375){ + s1+=7.0; + } else { + s0+=159.0; + } + } +} else { + if(i17<703.43359375){ + if(i0<919.0){ + s1+=34.0; + } else { + s0+=25.0; + } + } else { + if(i6<-10.671783447265625){ + if(i12<4.012856483459473){ + s1+=4.0; + } else { + s0+=3.0; + } + } else { + if(i21<-12.77508544921875){ + s0+=59.0; + s1+=4.0; + } else { + s0+=2729.0; + } + } + } +} +if(i14<220.5){ + if(i25<-2.3121256828308105){ + if(i2<874.2890014648438){ + s0+=200.0; + } else { + if(i21<-8.20465087890625){ + s0+=9.0; + s1+=28.0; + } else { + s0+=28.0; + } + } + } else { + if(i3<-12.244415283203125){ + if(i1<930.3941650390625){ + s1+=2.0; + } else { + s0+=2.0; + } + } else { + if(i26<36.673072814941406){ + s1+=3367.0; + } else { + s0+=1.0; + s1+=6.0; + } + } + } +} else { + if(i16<652.8406372070312){ + if(i4<2.2255859375){ + if(i14<243.5){ + s1+=24.0; + } else { + s0+=5.0; + s1+=1.0; + } + } else { + s0+=26.0; + } + } else { + if(i17<640.592529296875){ + s1+=1.0; + } else { + if(i4<-10.122802734375){ + s0+=28.0; + s1+=1.0; + } else { + s0+=2686.0; + } + } + } +} +if(i14<220.5){ + if(i25<-2.6617965698242188){ + if(i19<-18.727294921875){ + if(i1<852.927734375){ + s0+=5.0; + } else { + s1+=10.0; + } + } else { + s0+=221.0; + } + } else { + if(i21<2.8870849609375){ + if(i5<-266.1468505859375){ + s0+=3.0; + s1+=3.0; + } else { + s0+=5.0; + s1+=3377.0; + } + } else { + if(i17<665.3117065429688){ + s1+=5.0; + } else { + s0+=13.0; + } + } + } +} else { + if(i16<626.322998046875){ + s1+=11.0; + } else { + if(i25<-0.643585205078125){ + if(i29<91.5){ + s0+=12.0; + s1+=2.0; + } else { + s0+=2688.0; + } + } else { + if(i1<1006.023681640625){ + s1+=12.0; + } else { + s0+=48.0; + } + } + } +} +if(i25<-1.1870014667510986){ + if(i29<121.5){ + if(i6<-0.762420654296875){ + s1+=26.0; + } else { + s0+=25.0; + } + } else { + if(i4<-12.256256103515625){ + if(i5<-48.5584716796875){ + s0+=28.0; + s1+=1.0; + } else { + s0+=3.0; + s1+=21.0; + } + } else { + if(i28<116.0){ + s0+=119.0; + s1+=7.0; + } else { + s0+=2724.0; + s1+=1.0; + } + } + } +} else { + if(i1<986.6383056640625){ + s1+=3389.0; + } else { + if(i1<1011.810791015625){ + if(i15<653.5){ + s1+=1.0; + } else { + s0+=3.0; + } + } else { + s0+=67.0; + } + } +} +if(i16<698.840087890625){ + if(i4<2.023223876953125){ + if(i18<-11.900634765625){ + s0+=5.0; + } else { + if(i0<990.5){ + s0+=6.0; + s1+=3361.0; + } else { + s0+=3.0; + } + } + } else { + if(i0<843.5){ + s1+=1.0; + } else { + if(i29<45.5){ + s1+=1.0; + } else { + s0+=105.0; + s1+=2.0; + } + } + } +} else { + if(i10<-0.36595413088798523){ + if(i14<51.5){ + s1+=5.0; + } else { + if(i25<2.6945619583129883){ + s0+=2837.0; + s1+=5.0; + } else { + s1+=1.0; + } + } + } else { + if(i21<8.973297119140625){ + if(i17<1005.649169921875){ + s1+=73.0; + } else { + s0+=1.0; + } + } else { + s0+=9.0; + } + } +} +if(i29<187.5){ + if(i1<962.334228515625){ + if(i19<5.3934326171875){ + s1+=3338.0; + } else { + s0+=5.0; + } + } else { + if(i13<118.5){ + if(i9<-5.049846172332764){ + s1+=2.0; + } else { + s0+=10.0; + } + } else { + s0+=191.0; + } + } +} else { + if(i21<3.53778076171875){ + if(i14<222.0){ + if(i11<28.627531051635742){ + s0+=4.0; + s1+=93.0; + } else { + s0+=10.0; + } + } else { + if(i27<1.0306178331375122){ + s0+=10.0; + s1+=1.0; + } else { + s0+=321.0; + } + } + } else { + s0+=2430.0; + } +} +if(i1<928.2596435546875){ + if(i16<775.8272705078125){ + if(i25<-2.8936331272125244){ + if(i1<860.4581298828125){ + s0+=18.0; + } else { + s1+=5.0; + } + } else { + if(i26<36.673072814941406){ + s1+=3372.0; + } else { + s0+=7.0; + s1+=8.0; + } + } + } else { + if(i4<-5.99615478515625){ + if(i11<19.644193649291992){ + s1+=13.0; + } else { + s0+=4.0; + } + } else { + s0+=248.0; + } + } +} else { + if(i16<652.8406372070312){ + if(i1<986.007568359375){ + if(i22<436.20306396484375){ + s1+=12.0; + } else { + s0+=1.0; + } + } else { + s0+=33.0; + } + } else { + if(i1<972.38623046875){ + if(i2<1027.471923828125){ + s0+=80.0; + } else { + s0+=1.0; + s1+=7.0; + } + } else { + if(i6<-6.6883544921875){ + s0+=28.0; + s1+=1.0; + } else { + s0+=2577.0; + } + } + } +} +if(i15<713.5){ + if(i0<981.5){ + if(i21<2.888031005859375){ + if(i26<74.63142395019531){ + s0+=11.0; + s1+=3346.0; + } else { + s0+=2.0; + } + } else { + if(i17<662.674560546875){ + s1+=1.0; + } else { + s0+=24.0; + } + } + } else { + if(i6<-3.499237060546875){ + s1+=2.0; + } else { + s0+=158.0; + } + } +} else { + if(i25<-1.2063809633255005){ + if(i4<-19.7288818359375){ + if(i28<146.5){ + s1+=3.0; + } else { + s0+=5.0; + } + } else { + if(i10<-0.20728296041488647){ + s0+=2733.0; + s1+=4.0; + } else { + s0+=3.0; + s1+=2.0; + } + } + } else { + if(i29<474.5){ + if(i5<254.6583251953125){ + s1+=93.0; + } else { + s0+=4.0; + } + } else { + s0+=24.0; + } + } +} +if(i25<-1.0433251857757568){ + if(i6<-4.836090087890625){ + if(i10<-0.3667437434196472){ + s0+=44.0; + } else { + if(i7<407.7716064453125){ + s1+=47.0; + } else { + s0+=1.0; + } + } + } else { + if(i19<-15.30230712890625){ + if(i15<796.0){ + s0+=1.0; + s1+=12.0; + } else { + s0+=94.0; + } + } else { + s0+=2764.0; + } + } +} else { + if(i1<986.007568359375){ + s1+=3385.0; + } else { + if(i4<-7.676025390625){ + s1+=1.0; + } else { + s0+=66.0; + } + } +} +if(i1<928.8568115234375){ + if(i25<-2.6722426414489746){ + if(i4<-1.782501220703125){ + if(i10<-0.8805042505264282){ + s0+=13.0; + } else { + s1+=18.0; + } + } else { + if(i27<4.839745998382568){ + s0+=240.0; + } else { + s1+=2.0; + } + } + } else { + if(i17<718.0098876953125){ + s1+=3256.0; + } else { + if(i1<808.7022094726562){ + s0+=5.0; + } else { + s1+=182.0; + } + } + } +} else { + if(i6<-5.5738525390625){ + if(i14<277.5){ + if(i3<-9.939208984375){ + s0+=4.0; + } else { + s1+=14.0; + } + } else { + s0+=22.0; + } + } else { + if(i25<1.9753755331039429){ + if(i28<109.5){ + s0+=141.0; + s1+=9.0; + } else { + s0+=2507.0; + s1+=1.0; + } + } else { + s1+=1.0; + } + } +} +if(i4<1.51416015625){ + if(i19<6.193511962890625){ + if(i14<268.5){ + if(i16<821.1763305664062){ + s0+=10.0; + s1+=3462.0; + } else { + s0+=12.0; + } + } else { + s0+=14.0; + } + } else { + s0+=162.0; + } +} else { + if(i25<-0.1293642520904541){ + if(i19<-14.887542724609375){ + if(i15<810.0){ + s0+=3.0; + s1+=9.0; + } else { + s0+=58.0; + } + } else { + if(i29<183.5){ + s0+=147.0; + s1+=1.0; + } else { + s0+=2531.0; + } + } + } else { + if(i21<-6.701812744140625){ + s0+=3.0; + } else { + s1+=3.0; + } + } +} +if(i16<724.0958251953125){ + if(i4<1.850677490234375){ + if(i14<269.0){ + if(i19<6.233306884765625){ + s1+=3369.0; + } else { + s0+=2.0; + } + } else { + s0+=7.0; + } + } else { + if(i1<972.144287109375){ + if(i21<0.227020263671875){ + s1+=8.0; + } else { + s0+=5.0; + } + } else { + s0+=142.0; + } + } +} else { + if(i17<686.41064453125){ + s1+=24.0; + } else { + if(i4<-15.884307861328125){ + if(i14<125.0){ + s1+=9.0; + } else { + s0+=16.0; + } + } else { + if(i17<694.7672729492188){ + s0+=5.0; + s1+=2.0; + } else { + s0+=2822.0; + s1+=4.0; + } + } + } +} +if(i6<0.851318359375){ + if(i29<380.5){ + if(i26<36.546913146972656){ + if(i25<-2.5283756256103516){ + s0+=7.0; + } else { + s0+=7.0; + s1+=3402.0; + } + } else { + if(i21<-10.23046875){ + s0+=1.0; + s1+=14.0; + } else { + s0+=15.0; + s1+=2.0; + } + } + } else { + s0+=152.0; + } +} else { + if(i4<1.623443603515625){ + if(i1<819.6080322265625){ + s0+=7.0; + } else { + s1+=4.0; + } + } else { + if(i19<-8.49951171875){ + if(i1<980.3540649414062){ + s0+=5.0; + s1+=13.0; + } else { + s0+=172.0; + } + } else { + s0+=2614.0; + } + } +} +if(i6<0.847625732421875){ + if(i25<-2.840043544769287){ + if(i19<-20.379608154296875){ + if(i10<-0.7872217893600464){ + s0+=8.0; + } else { + s1+=5.0; + } + } else { + s0+=158.0; + } + } else { + if(i14<275.5){ + if(i19<6.42230224609375){ + s0+=7.0; + s1+=3434.0; + } else { + s0+=3.0; + } + } else { + s0+=6.0; + } + } +} else { + if(i14<219.5){ + if(i17<638.2127685546875){ + s1+=4.0; + } else { + if(i8<193.4480743408203){ + s0+=196.0; + } else { + s0+=5.0; + s1+=12.0; + } + } + } else { + s0+=2577.0; + } +} +if(i25<-1.1870014667510986){ + if(i6<-4.063323974609375){ + if(i28<142.5){ + if(i8<253.38978576660156){ + s1+=70.0; + } else { + s0+=4.0; + } + } else { + if(i27<10.286994934082031){ + s0+=51.0; + } else { + s1+=1.0; + } + } + } else { + if(i13<4.5){ + if(i29<517.5){ + s1+=2.0; + } else { + s0+=1.0; + } + } else { + if(i10<-0.24673055112361908){ + s0+=2880.0; + s1+=9.0; + } else { + s0+=2.0; + s1+=3.0; + } + } + } +} else { + if(i6<1.029632568359375){ + if(i1<988.359375){ + s1+=3315.0; + } else { + if(i4<-7.676025390625){ + s1+=1.0; + } else { + s0+=6.0; + } + } + } else { + if(i12<6.717180252075195){ + if(i4<2.023223876953125){ + s1+=1.0; + } else { + s0+=66.0; + } + } else { + s1+=3.0; + } + } +} +if(i6<0.92254638671875){ + if(i15<891.0){ + if(i26<34.75830841064453){ + if(i13<243.5){ + s0+=10.0; + s1+=3375.0; + } else { + s0+=6.0; + } + } else { + if(i29<157.0){ + s0+=3.0; + s1+=22.0; + } else { + s0+=28.0; + s1+=6.0; + } + } + } else { + s0+=166.0; + } +} else { + if(i0<964.5){ + if(i2<1009.1944580078125){ + s0+=249.0; + } else { + if(i8<203.8050537109375){ + s0+=12.0; + } else { + s0+=2.0; + s1+=18.0; + } + } + } else { + s0+=2518.0; + } +} +if(i6<0.916717529296875){ + if(i21<3.344146728515625){ + if(i16<847.8472290039062){ + if(i26<38.623443603515625){ + s0+=4.0; + s1+=3383.0; + } else { + s0+=11.0; + s1+=12.0; + } + } else { + s0+=18.0; + } + } else { + s0+=160.0; + } +} else { + if(i25<1.9753755331039429){ + if(i21<-7.085784912109375){ + if(i9<5.699381351470947){ + s0+=130.0; + s1+=2.0; + } else { + s0+=2.0; + s1+=3.0; + } + } else { + s0+=2688.0; + } + } else { + s1+=2.0; + } +} +if(i14<219.5){ + if(i6<0.916778564453125){ + if(i28<360.0){ + if(i15<716.5){ + s0+=7.0; + s1+=3390.0; + } else { + s0+=25.0; + s1+=97.0; + } + } else { + s0+=21.0; + } + } else { + if(i27<2.811462879180908){ + s0+=182.0; + } else { + if(i12<0.6391130089759827){ + s1+=13.0; + } else { + s0+=3.0; + s1+=1.0; + } + } + } +} else { + if(i14<243.5){ + if(i12<1.4184205532073975){ + if(i23<31.603540420532227){ + s1+=5.0; + } else { + s0+=39.0; + } + } else { + if(i11<22.212093353271484){ + s0+=1.0; + s1+=13.0; + } else { + s0+=12.0; + s1+=1.0; + } + } + } else { + if(i6<-6.441009521484375){ + if(i19<14.51171875){ + s0+=4.0; + s1+=3.0; + } else { + s0+=23.0; + } + } else { + s0+=2575.0; + } + } +} +if(i29<190.5){ + if(i4<1.62841796875){ + if(i2<1065.059814453125){ + if(i17<741.885009765625){ + s1+=3259.0; + } else { + s0+=1.0; + s1+=118.0; + } + } else { + if(i25<-0.5189015865325928){ + s0+=7.0; + s1+=1.0; + } else { + s1+=57.0; + } + } + } else { + if(i13<180.5){ + if(i21<-3.335479736328125){ + s1+=7.0; + } else { + s0+=22.0; + } + } else { + s0+=163.0; + } + } +} else { + if(i6<-2.09234619140625){ + if(i15<941.0){ + if(i22<614.1182861328125){ + s0+=2.0; + s1+=62.0; + } else { + s0+=14.0; + s1+=1.0; + } + } else { + s0+=78.0; + } + } else { + if(i25<-0.7628005146980286){ + s0+=2602.0; + } else { + if(i10<-1.3816649913787842){ + s0+=12.0; + } else { + s1+=9.0; + } + } + } +} +if(i10<-0.6732646822929382){ + if(i22<150.6044921875){ + if(i6<1.101104736328125){ + if(i13<204.0){ + s0+=1.0; + s1+=227.0; + } else { + s0+=6.0; + } + } else { + s0+=146.0; + } + } else { + if(i29<55.5){ + s1+=7.0; + } else { + if(i25<-0.7539024353027344){ + s0+=2831.0; + s1+=11.0; + } else { + s0+=9.0; + s1+=7.0; + } + } + } +} else { + if(i6<0.847625732421875){ + if(i16<816.072509765625){ + if(i23<583.2708129882812){ + s0+=2.0; + s1+=3081.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + if(i27<6.971282958984375){ + s0+=29.0; + } else { + s1+=1.0; + } + } + } else { + if(i2<798.2405395507812){ + s0+=40.0; + } else { + if(i21<5.85498046875){ + s1+=9.0; + } else { + s0+=5.0; + } + } + } +} +if(i15<714.0){ + if(i14<244.0){ + if(i25<-2.343928575515747){ + if(i27<4.250887393951416){ + s0+=16.0; + } else { + s0+=3.0; + s1+=11.0; + } + } else { + if(i11<46.94572448730469){ + s0+=2.0; + s1+=3403.0; + } else { + s0+=6.0; + s1+=5.0; + } + } + } else { + if(i25<-0.4097781181335449){ + s0+=151.0; + } else { + if(i1<1016.6353759765625){ + s1+=3.0; + } else { + s0+=10.0; + } + } + } +} else { + if(i25<-1.2014517784118652){ + if(i6<-8.8363037109375){ + if(i5<-35.598785400390625){ + s0+=11.0; + } else { + s0+=1.0; + s1+=5.0; + } + } else { + if(i10<-0.20728296041488647){ + s0+=2692.0; + s1+=3.0; + } else { + s0+=2.0; + s1+=1.0; + } + } + } else { + if(i29<469.0){ + if(i8<22.963502883911133){ + s0+=4.0; + s1+=11.0; + } else { + s0+=1.0; + s1+=56.0; + } + } else { + s0+=18.0; + } + } +} +if(i4<1.318756103515625){ + if(i29<275.5){ + if(i21<3.441162109375){ + if(i22<614.1182861328125){ + s0+=2.0; + s1+=3443.0; + } else { + s0+=5.0; + s1+=4.0; + } + } else { + s0+=9.0; + } + } else { + if(i16<793.1370239257812){ + if(i17<712.93359375){ + s1+=9.0; + } else { + s0+=3.0; + } + } else { + if(i10<-0.10487644374370575){ + s0+=174.0; + } else { + s0+=1.0; + s1+=2.0; + } + } + } +} else { + if(i15<570.0){ + s1+=6.0; + } else { + if(i19<-14.824920654296875){ + if(i14<222.0){ + s1+=8.0; + } else { + s0+=94.0; + } + } else { + if(i16<610.6246948242188){ + s1+=2.0; + } else { + s0+=2652.0; + s1+=1.0; + } + } + } +} +if(i15<715.5){ + if(i7<435.77252197265625){ + if(i6<0.976470947265625){ + if(i21<3.296112060546875){ + s0+=6.0; + s1+=3278.0; + } else { + s0+=10.0; + } + } else { + if(i19<-9.76324462890625){ + s1+=3.0; + } else { + s0+=16.0; + } + } + } else { + if(i21<-4.772308349609375){ + s1+=13.0; + } else { + s0+=158.0; + } + } +} else { + if(i25<-1.1840887069702148){ + if(i13<32.0){ + if(i7<72.16880798339844){ + s1+=3.0; + } else { + s0+=28.0; + s1+=1.0; + } + } else { + if(i27<7.041675090789795){ + s0+=2618.0; + } else { + s0+=177.0; + s1+=3.0; + } + } + } else { + if(i7<375.5089416503906){ + if(i10<-1.9724245071411133){ + s0+=6.0; + s1+=1.0; + } else { + s1+=86.0; + } + } else { + s0+=8.0; + } + } +} +if(i29<187.5){ + if(i16<655.1688232421875){ + if(i10<-5.2533416748046875){ + if(i20<-47.197998046875){ + s0+=4.0; + s1+=8.0; + } else { + s0+=41.0; + } + } else { + if(i2<1288.6092529296875){ + s1+=3185.0; + } else { + s0+=1.0; + } + } + } else { + if(i1<962.334228515625){ + if(i3<-9.1533203125){ + s0+=3.0; + s1+=3.0; + } else { + s0+=2.0; + s1+=199.0; + } + } else { + if(i15<647.5){ + s0+=18.0; + s1+=1.0; + } else { + s0+=140.0; + } + } + } +} else { + if(i16<725.0584716796875){ + if(i10<-0.6219772100448608){ + if(i13<80.0){ + s0+=1.0; + s1+=1.0; + } else { + s0+=26.0; + } + } else { + s1+=34.0; + } + } else { + if(i13<119.5){ + if(i10<-0.29825010895729065){ + s0+=199.0; + s1+=2.0; + } else { + s0+=4.0; + s1+=26.0; + } + } else { + if(i25<-0.7634646892547607){ + s0+=2500.0; + } else { + s0+=15.0; + s1+=2.0; + } + } + } +} +if(i4<1.35003662109375){ + if(i19<6.193511962890625){ + if(i28<308.5){ + if(i22<617.6793823242188){ + s0+=5.0; + s1+=3402.0; + } else { + s0+=11.0; + s1+=5.0; + } + } else { + if(i12<1.5809845924377441){ + s1+=3.0; + } else { + s0+=11.0; + } + } + } else { + s0+=159.0; + } +} else { + if(i23<3.7942633628845215){ + if(i9<-39.07585906982422){ + s0+=5.0; + } else { + s1+=5.0; + } + } else { + if(i19<-14.824920654296875){ + if(i16<805.7725830078125){ + s0+=1.0; + s1+=13.0; + } else { + s0+=114.0; + } + } else { + if(i15<715.5){ + s0+=169.0; + s1+=1.0; + } else { + s0+=2511.0; + } + } + } +} +if(i16<724.0958251953125){ + if(i4<1.534149169921875){ + if(i25<-2.4370980262756348){ + if(i28<126.5){ + s1+=10.0; + } else { + s0+=7.0; + } + } else { + if(i0<1008.0){ + s0+=3.0; + s1+=3413.0; + } else { + s0+=3.0; + } + } + } else { + if(i13<153.0){ + if(i19<-5.616973876953125){ + s1+=4.0; + } else { + s0+=16.0; + s1+=2.0; + } + } else { + s0+=121.0; + } + } +} else { + if(i4<-2.624481201171875){ + if(i2<877.035400390625){ + if(i17<751.4838256835938){ + s1+=48.0; + } else { + s0+=1.0; + } + } else { + if(i1<913.609130859375){ + s0+=10.0; + s1+=7.0; + } else { + s0+=99.0; + } + } + } else { + if(i21<-11.689910888671875){ + if(i19<-20.0426025390625){ + s0+=89.0; + } else { + s1+=1.0; + } + } else { + s0+=2581.0; + } + } +} +if(i7<185.247802734375){ + if(i16<760.5640258789062){ + if(i22<485.9326477050781){ + if(i18<-11.900634765625){ + s0+=2.0; + } else { + s0+=4.0; + s1+=3358.0; + } + } else { + if(i1<836.6322021484375){ + s0+=8.0; + } else { + s1+=2.0; + } + } + } else { + if(i10<-0.20927438139915466){ + if(i25<-0.8024090528488159){ + s0+=278.0; + } else { + s0+=4.0; + s1+=1.0; + } + } else { + if(i7<127.37680053710938){ + s1+=17.0; + } else { + s0+=1.0; + } + } + } +} else { + if(i25<-0.4020828306674957){ + if(i10<-0.26651614904403687){ + if(i4<-10.290191650390625){ + s0+=46.0; + s1+=9.0; + } else { + s0+=2577.0; + s1+=12.0; + } + } else { + if(i17<1186.6795654296875){ + s1+=12.0; + } else { + s0+=3.0; + } + } + } else { + if(i6<3.662689208984375){ + s1+=70.0; + } else { + s0+=11.0; + } + } +} +if(i1<907.3699951171875){ + if(i29<273.5){ + if(i26<36.673072814941406){ + s1+=3350.0; + } else { + if(i6<-1.189300537109375){ + s0+=3.0; + s1+=17.0; + } else { + s0+=15.0; + } + } + } else { + if(i4<-1.433197021484375){ + if(i26<-34.59468078613281){ + s1+=9.0; + } else { + s0+=15.0; + } + } else { + s0+=226.0; + } + } +} else { + if(i22<210.61541748046875){ + if(i4<2.023223876953125){ + if(i13<204.0){ + s0+=1.0; + s1+=36.0; + } else { + s0+=2.0; + } + } else { + if(i1<954.9503173828125){ + s1+=6.0; + } else { + s0+=202.0; + } + } + } else { + if(i27<5.955252647399902){ + s0+=2351.0; + } else { + if(i25<-3.7639412879943848){ + s0+=164.0; + } else { + s0+=13.0; + s1+=5.0; + } + } + } +} +if(i16<713.45166015625){ + if(i1<970.62255859375){ + if(i20<-144.408203125){ + if(i11<17.29303741455078){ + s0+=6.0; + } else { + s1+=2.0; + } + } else { + if(i19<7.701263427734375){ + s1+=3392.0; + } else { + s0+=2.0; + } + } + } else { + if(i10<-3.2166476249694824){ + s0+=142.0; + } else { + s1+=2.0; + } + } +} else { + if(i7<108.49008178710938){ + if(i24<-59.54615020751953){ + if(i22<184.55709838867188){ + s1+=1.0; + } else { + s0+=80.0; + } + } else { + if(i19<7.33209228515625){ + s0+=3.0; + s1+=43.0; + } else { + s0+=52.0; + } + } + } else { + if(i21<-10.594573974609375){ + if(i10<-0.9046253561973572){ + s0+=97.0; + s1+=2.0; + } else { + s1+=12.0; + } + } else { + if(i16<724.5352783203125){ + s0+=23.0; + s1+=1.0; + } else { + s0+=2555.0; + } + } + } +} +if(i16<724.9407348632812){ + if(i1<962.334228515625){ + if(i9<17.64706039428711){ + if(i21<3.441162109375){ + s0+=1.0; + s1+=3387.0; + } else { + s0+=7.0; + } + } else { + if(i27<1.5772807598114014){ + s0+=2.0; + } else { + s1+=2.0; + } + } + } else { + if(i13<126.0){ + if(i9<-4.669338226318359){ + s1+=2.0; + } else { + s0+=11.0; + s1+=1.0; + } + } else { + s0+=153.0; + } + } +} else { + if(i10<-0.29825010895729065){ + if(i23<13.884658813476562){ + if(i4<-6.79608154296875){ + s1+=1.0; + } else { + s0+=15.0; + } + } else { + if(i16<778.1663208007812){ + s0+=150.0; + s1+=1.0; + } else { + s0+=2639.0; + } + } + } else { + if(i19<17.146881103515625){ + s1+=40.0; + } else { + s0+=3.0; + } + } +} +if(i16<700.4188232421875){ + if(i1<968.262451171875){ + if(i19<5.3934326171875){ + if(i6<5.743011474609375){ + s0+=1.0; + s1+=3323.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + s0+=4.0; + } + } else { + if(i4<-14.8583984375){ + s1+=2.0; + } else { + s0+=129.0; + } + } +} else { + if(i4<-1.4124755859375){ + if(i22<467.6436462402344){ + if(i12<3.7273201942443848){ + s1+=64.0; + } else { + s0+=3.0; + s1+=4.0; + } + } else { + if(i1<908.80029296875){ + s0+=18.0; + s1+=9.0; + } else { + s0+=95.0; + } + } + } else { + if(i21<-10.15771484375){ + if(i10<-1.153311014175415){ + s0+=95.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=4.0; + } + } else { + s0+=2659.0; + } + } +} +if(i4<1.52838134765625){ + if(i29<275.5){ + if(i14<269.0){ + if(i19<6.446868896484375){ + s0+=5.0; + s1+=3511.0; + } else { + s0+=12.0; + } + } else { + s0+=2.0; + } + } else { + if(i16<821.1763305664062){ + if(i15<800.5){ + s0+=4.0; + } else { + s0+=1.0; + s1+=8.0; + } + } else { + s0+=164.0; + } + } +} else { + if(i10<-0.30078262090682983){ + if(i13<40.5){ + if(i22<366.2059020996094){ + s1+=3.0; + } else { + s0+=6.0; + } + } else { + if(i10<-2.6290946006774902){ + s0+=2330.0; + } else { + s0+=354.0; + s1+=11.0; + } + } + } else { + s1+=4.0; + } +} +if(i1<887.88720703125){ + if(i25<-2.840043544769287){ + if(i27<10.30971908569336){ + if(i2<983.515869140625){ + s0+=228.0; + } else { + s0+=3.0; + s1+=1.0; + } + } else { + if(i28<167.0){ + s0+=1.0; + } else { + s1+=1.0; + } + } + } else { + if(i20<-146.7093505859375){ + if(i1<834.968994140625){ + s0+=2.0; + } else { + s1+=3.0; + } + } else { + if(i22<808.2849731445312){ + s0+=1.0; + s1+=3397.0; + } else { + s0+=3.0; + } + } + } +} else { + if(i29<147.5){ + if(i14<244.0){ + if(i3<-11.735809326171875){ + s0+=3.0; + s1+=1.0; + } else { + s0+=2.0; + s1+=40.0; + } + } else { + if(i14<292.0){ + s0+=9.0; + s1+=6.0; + } else { + s0+=51.0; + } + } + } else { + if(i4<-18.1597900390625){ + if(i25<-7.756433010101318){ + s0+=1.0; + } else { + s1+=6.0; + } + } else { + if(i1<907.1572265625){ + s0+=22.0; + s1+=5.0; + } else { + s0+=2625.0; + s1+=4.0; + } + } + } +} +if(i25<-1.1907103061676025){ + if(i19<-18.000823974609375){ + if(i17<937.9150390625){ + if(i9<-73.1866226196289){ + s0+=2.0; + } else { + s0+=3.0; + s1+=72.0; + } + } else { + s0+=58.0; + } + } else { + if(i15<600.5){ + if(i18<-9.87677001953125){ + s0+=5.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + s0+=2867.0; + } + } +} else { + if(i14<259.0){ + if(i10<-5.698998928070068){ + if(i12<4.888787746429443){ + s0+=1.0; + } else { + s1+=7.0; + } + } else { + s1+=3329.0; + } + } else { + if(i6<-4.174163818359375){ + s1+=1.0; + } else { + s0+=67.0; + } + } +} +if(i28<167.5){ + if(i1<970.6661376953125){ + if(i22<485.36663818359375){ + if(i4<7.924774169921875){ + s0+=1.0; + s1+=3331.0; + } else { + s0+=3.0; + s1+=3.0; + } + } else { + if(i3<-4.141082763671875){ + s0+=11.0; + } else { + s0+=2.0; + s1+=6.0; + } + } + } else { + if(i4<-6.80194091796875){ + s1+=2.0; + } else { + s0+=276.0; + } + } +} else { + if(i25<-1.1892592906951904){ + if(i28<202.5){ + if(i19<-15.38970947265625){ + s0+=2.0; + s1+=4.0; + } else { + s0+=88.0; + } + } else { + s0+=2616.0; + } + } else { + if(i2<950.516845703125){ + s1+=55.0; + } else { + s0+=15.0; + } + } +} +if(i16<702.817626953125){ + if(i7<514.1669921875){ + if(i5<219.15338134765625){ + if(i28<235.0){ + s0+=6.0; + s1+=3356.0; + } else { + s0+=4.0; + } + } else { + s0+=6.0; + } + } else { + if(i13<84.5){ + s1+=11.0; + } else { + s0+=125.0; + } + } +} else { + if(i17<686.41064453125){ + if(i9<-42.16127014160156){ + s0+=2.0; + } else { + s1+=29.0; + } + } else { + if(i1<898.8106689453125){ + if(i4<-5.88348388671875){ + s0+=8.0; + s1+=37.0; + } else { + s0+=217.0; + } + } else { + if(i14<219.5){ + s0+=26.0; + s1+=3.0; + } else { + s0+=2585.0; + } + } + } +} +if(i1<919.0867309570312){ + if(i25<-2.458609104156494){ + if(i25<-3.6011102199554443){ + if(i28<107.0){ + s0+=1.0; + s1+=1.0; + } else { + s0+=259.0; + } + } else { + if(i17<812.8236083984375){ + s0+=11.0; + } else { + s1+=9.0; + } + } + } else { + if(i25<-2.0795819759368896){ + if(i27<5.72596549987793){ + s0+=5.0; + } else { + s1+=17.0; + } + } else { + s1+=3416.0; + } + } +} else { + if(i4<-10.283905029296875){ + if(i25<-5.845072269439697){ + s0+=24.0; + } else { + s1+=22.0; + } + } else { + if(i28<109.5){ + if(i13<179.0){ + s0+=16.0; + s1+=17.0; + } else { + s0+=121.0; + } + } else { + s0+=2496.0; + } + } +} +if(i28<160.5){ + if(i11<30.80638885498047){ + if(i1<989.5770263671875){ + if(i24<19.064058303833008){ + s0+=5.0; + s1+=3282.0; + } else { + s0+=8.0; + } + } else { + s0+=162.0; + } + } else { + if(i13<79.0){ + if(i2<1342.9820556640625){ + s1+=17.0; + } else { + s0+=2.0; + } + } else { + if(i13<175.5){ + s0+=17.0; + s1+=7.0; + } else { + s0+=96.0; + } + } + } +} else { + if(i1<855.1314697265625){ + if(i25<-1.6852316856384277){ + s0+=203.0; + } else { + s1+=79.0; + } + } else { + if(i4<-29.096038818359375){ + s1+=2.0; + } else { + if(i28<171.5){ + s0+=23.0; + s1+=1.0; + } else { + s0+=2510.0; + s1+=1.0; + } + } + } +} +if(i16<703.4133911132812){ + if(i6<1.044647216796875){ + if(i22<520.7783203125){ + if(i14<294.5){ + s0+=2.0; + s1+=3318.0; + } else { + s0+=3.0; + } + } else { + s0+=5.0; + } + } else { + if(i1<970.62255859375){ + if(i27<2.638570785522461){ + s0+=6.0; + } else { + s1+=8.0; + } + } else { + s0+=111.0; + } + } +} else { + if(i6<-1.985992431640625){ + if(i1<869.799560546875){ + if(i2<847.7288818359375){ + s1+=50.0; + } else { + s0+=10.0; + s1+=17.0; + } + } else { + if(i21<-15.725616455078125){ + s1+=3.0; + } else { + s0+=82.0; + } + } + } else { + if(i15<709.0){ + if(i28<86.0){ + s0+=4.0; + s1+=4.0; + } else { + s0+=41.0; + } + } else { + if(i10<-0.8542670011520386){ + s0+=2662.0; + } else { + s0+=88.0; + s1+=1.0; + } + } + } +} +if(i6<0.851318359375){ + if(i22<485.36663818359375){ + if(i0<998.5){ + s1+=3479.0; + } else { + s0+=13.0; + } + } else { + if(i16<818.2022705078125){ + if(i27<8.664146423339844){ + s0+=19.0; + s1+=5.0; + } else { + s0+=1.0; + s1+=10.0; + } + } else { + s0+=175.0; + } + } +} else { + if(i21<-0.34197998046875){ + if(i21<-0.50848388671875){ + if(i9<-2.904036521911621){ + s0+=222.0; + } else { + s0+=38.0; + s1+=11.0; + } + } else { + s1+=4.0; + } + } else { + s0+=2438.0; + } +} +if(i6<0.92254638671875){ + if(i19<6.318023681640625){ + if(i16<810.5452880859375){ + if(i1<961.9090576171875){ + s0+=9.0; + s1+=3496.0; + } else { + s0+=9.0; + s1+=2.0; + } + } else { + if(i29<314.5){ + s1+=2.0; + } else { + s0+=33.0; + } + } + } else { + s0+=169.0; + } +} else { + if(i19<-14.887542724609375){ + if(i14<244.5){ + s1+=8.0; + } else { + s0+=83.0; + } + } else { + s0+=2604.0; + } +} +if(i4<1.39776611328125){ + if(i25<-2.649684190750122){ + if(i29<154.0){ + s1+=8.0; + } else { + if(i10<-0.3270975649356842){ + s0+=184.0; + s1+=1.0; + } else { + s0+=8.0; + s1+=3.0; + } + } + } else { + if(i0<984.0){ + if(i1<968.73095703125){ + s0+=2.0; + s1+=3463.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + s0+=2.0; + } + } +} else { + if(i29<74.0){ + if(i25<-0.22858895361423492){ + s0+=2.0; + } else { + s1+=7.0; + } + } else { + if(i23<2.626166343688965){ + if(i15<633.0){ + s1+=1.0; + } else { + s0+=1.0; + } + } else { + if(i10<-2.169917583465576){ + s0+=2430.0; + } else { + s0+=295.0; + s1+=5.0; + } + } + } +} +if(i6<0.909393310546875){ + if(i22<526.0606689453125){ + if(i14<278.0){ + if(i25<-3.2001113891601562){ + s0+=3.0; + } else { + s0+=3.0; + s1+=3369.0; + } + } else { + s0+=27.0; + } + } else { + if(i29<202.0){ + if(i10<-0.07782437652349472){ + s0+=8.0; + } else { + s1+=9.0; + } + } else { + if(i29<253.5){ + s0+=9.0; + s1+=1.0; + } else { + s0+=159.0; + } + } + } +} else { + if(i19<-8.49951171875){ + if(i16<731.2855224609375){ + s1+=4.0; + } else { + if(i29<271.0){ + s0+=18.0; + s1+=1.0; + } else { + s0+=145.0; + } + } + } else { + s0+=2659.0; + } +} +if(i25<-1.2301151752471924){ + if(i14<107.5){ + if(i1<819.0234985351562){ + if(i25<-2.8035531044006348){ + s0+=35.0; + } else { + s0+=1.0; + s1+=4.0; + } + } else { + s1+=36.0; + } + } else { + if(i19<-14.824920654296875){ + if(i17<937.9150390625){ + s0+=10.0; + s1+=31.0; + } else { + s0+=80.0; + } + } else { + if(i29<71.5){ + s0+=2.0; + s1+=1.0; + } else { + s0+=2798.0; + } + } + } +} else { + if(i13<221.0){ + if(i7<640.3209228515625){ + if(i17<1141.3746337890625){ + s1+=3337.0; + } else { + s0+=3.0; + } + } else { + if(i10<-6.987363338470459){ + s1+=5.0; + } else { + s0+=7.0; + } + } + } else { + if(i2<888.3154907226562){ + s1+=1.0; + } else { + s0+=64.0; + } + } +} +if(i6<0.823211669921875){ + if(i25<-2.214599609375){ + if(i14<98.5){ + if(i17<937.8736572265625){ + s1+=8.0; + } else { + s0+=10.0; + } + } else { + if(i21<-12.5643310546875){ + s0+=2.0; + s1+=3.0; + } else { + s0+=185.0; + } + } + } else { + if(i1<969.999755859375){ + if(i29<287.5){ + s1+=3388.0; + } else { + s0+=1.0; + s1+=16.0; + } + } else { + if(i20<3.168060302734375){ + s0+=5.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i8<4.162977695465088){ + if(i5<143.22451782226562){ + s1+=11.0; + } else { + s0+=2.0; + } + } else { + if(i19<-15.639801025390625){ + if(i27<7.469714164733887){ + s0+=15.0; + s1+=10.0; + } else { + s0+=82.0; + } + } else { + if(i22<74.83326721191406){ + s0+=51.0; + s1+=1.0; + } else { + s0+=2624.0; + } + } + } +} +if(i6<0.845855712890625){ + if(i28<255.0){ + if(i19<6.172271728515625){ + if(i26<34.75830841064453){ + s0+=1.0; + s1+=3402.0; + } else { + s0+=10.0; + s1+=17.0; + } + } else { + s0+=20.0; + } + } else { + if(i29<380.5){ + if(i26<-5.309055328369141){ + s1+=13.0; + } else { + s0+=10.0; + } + } else { + s0+=173.0; + } + } +} else { + if(i17<608.5244140625){ + s1+=6.0; + } else { + if(i15<600.5){ + if(i8<187.6287841796875){ + s0+=3.0; + } else { + s1+=4.0; + } + } else { + if(i27<4.898608207702637){ + s0+=2550.0; + s1+=1.0; + } else { + s0+=197.0; + s1+=8.0; + } + } + } +} +if(i29<177.5){ + if(i6<1.4921875){ + if(i20<-146.7093505859375){ + if(i4<-8.548919677734375){ + s1+=3.0; + } else { + s0+=5.0; + } + } else { + if(i1<1025.0679931640625){ + s0+=1.0; + s1+=3295.0; + } else { + s0+=2.0; + } + } + } else { + if(i21<-8.07049560546875){ + s1+=13.0; + } else { + if(i14<204.5){ + s0+=4.0; + s1+=1.0; + } else { + s0+=157.0; + } + } + } +} else { + if(i7<80.7793197631836){ + if(i25<-1.6708160638809204){ + s0+=72.0; + } else { + s1+=71.0; + } + } else { + if(i25<-0.9040473699569702){ + if(i4<-12.256256103515625){ + s0+=29.0; + s1+=5.0; + } else { + s0+=2707.0; + s1+=3.0; + } + } else { + if(i2<1086.643310546875){ + s1+=28.0; + } else { + s0+=19.0; + } + } + } +} +if(i25<-1.2063809633255005){ + if(i29<149.5){ + if(i19<-11.331298828125){ + if(i1<1026.58251953125){ + s1+=43.0; + } else { + s0+=1.0; + } + } else { + s0+=48.0; + } + } else { + if(i14<75.0){ + if(i4<-10.42047119140625){ + s1+=6.0; + } else { + s0+=6.0; + } + } else { + if(i4<-3.016632080078125){ + s0+=84.0; + s1+=4.0; + } else { + s0+=2746.0; + s1+=5.0; + } + } + } +} else { + if(i14<259.0){ + if(i4<10.60748291015625){ + if(i1<1019.1358032226562){ + s1+=3394.0; + } else { + s0+=1.0; + } + } else { + s0+=2.0; + } + } else { + if(i4<-7.190399169921875){ + s1+=2.0; + } else { + s0+=73.0; + } + } +} +if(i4<1.381011962890625){ + if(i26<37.16471862792969){ + if(i29<375.0){ + if(i11<47.93982696533203){ + s0+=4.0; + s1+=3404.0; + } else { + s0+=6.0; + s1+=3.0; + } + } else { + s0+=72.0; + } + } else { + if(i25<-4.547443389892578){ + s0+=112.0; + } else { + if(i10<-0.7426364421844482){ + s0+=16.0; + } else { + s0+=2.0; + s1+=17.0; + } + } + } +} else { + if(i16<610.6246948242188){ + s1+=11.0; + } else { + if(i27<4.2432684898376465){ + if(i29<183.5){ + s0+=181.0; + s1+=1.0; + } else { + s0+=2294.0; + } + } else { + if(i16<721.8070678710938){ + s1+=9.0; + } else { + s0+=281.0; + s1+=2.0; + } + } + } +} +if(i16<720.560302734375){ + if(i1<977.1266479492188){ + if(i20<-141.7474365234375){ + if(i18<-14.195465087890625){ + s1+=2.0; + } else { + s0+=9.0; + } + } else { + if(i26<41.204566955566406){ + s1+=3374.0; + } else { + s0+=4.0; + s1+=3.0; + } + } + } else { + s0+=142.0; + } +} else { + if(i10<-0.36173883080482483){ + if(i15<803.5){ + if(i21<-10.594573974609375){ + s0+=9.0; + s1+=5.0; + } else { + s0+=280.0; + } + } else { + s0+=2525.0; + } + } else { + if(i22<1216.134765625){ + if(i20<-111.482177734375){ + s0+=2.0; + } else { + s0+=1.0; + s1+=47.0; + } + } else { + s0+=12.0; + } + } +} +if(i6<0.92254638671875){ + if(i19<6.42230224609375){ + if(i29<382.0){ + if(i1<968.262451171875){ + s0+=13.0; + s1+=3443.0; + } else { + s0+=8.0; + s1+=2.0; + } + } else { + s0+=28.0; + } + } else { + s0+=176.0; + } +} else { + if(i1<972.6070556640625){ + if(i19<-5.020904541015625){ + if(i26<58.65925979614258){ + s1+=9.0; + } else { + s0+=4.0; + } + } else { + s0+=260.0; + } + } else { + s0+=2472.0; + } +} +if(i25<-1.1054859161376953){ + if(i19<-17.868743896484375){ + if(i1<980.3540649414062){ + if(i28<202.5){ + s0+=2.0; + s1+=79.0; + } else { + s0+=7.0; + s1+=2.0; + } + } else { + s0+=80.0; + } + } else { + if(i14<214.5){ + if(i25<-1.9470564126968384){ + s0+=203.0; + } else { + s0+=1.0; + s1+=6.0; + } + } else { + s0+=2567.0; + } + } +} else { + if(i1<982.4171142578125){ + s1+=3393.0; + } else { + s0+=75.0; + } +} +if(i16<720.560302734375){ + if(i0<981.5){ + if(i25<-1.848633885383606){ + if(i10<-0.4008084535598755){ + s0+=26.0; + } else { + s1+=31.0; + } + } else { + if(i5<-379.79046630859375){ + s0+=1.0; + } else { + s0+=1.0; + s1+=3395.0; + } + } + } else { + s0+=157.0; + } +} else { + if(i10<-0.29825010895729065){ + if(i16<774.6594848632812){ + if(i27<7.22599458694458){ + s0+=133.0; + s1+=2.0; + } else { + s0+=3.0; + s1+=6.0; + } + } else { + s0+=2616.0; + } + } else { + if(i6<-0.92706298828125){ + s1+=39.0; + } else { + s0+=5.0; + } + } +} +if(i4<1.518096923828125){ + if(i21<3.367889404296875){ + if(i28<336.0){ + if(i7<514.1669921875){ + s0+=6.0; + s1+=3426.0; + } else { + s0+=7.0; + s1+=3.0; + } + } else { + s0+=20.0; + } + } else { + s0+=152.0; + } +} else { + if(i13<40.5){ + if(i9<2.4888486862182617){ + s1+=2.0; + } else { + s0+=8.0; + } + } else { + if(i29<63.0){ + if(i29<59.5){ + s0+=2.0; + } else { + s1+=2.0; + } + } else { + if(i0<964.5){ + s0+=274.0; + s1+=2.0; + } else { + s0+=2511.0; + } + } + } +} +if(i25<-1.2110532522201538){ + if(i27<6.307534694671631){ + if(i19<-16.74114990234375){ + if(i10<-3.289170503616333){ + s0+=1.0; + } else { + s1+=3.0; + } + } else { + if(i28<38.5){ + s0+=15.0; + s1+=2.0; + } else { + s0+=2699.0; + } + } + } else { + if(i25<-2.840043544769287){ + if(i13<138.0){ + s0+=12.0; + s1+=10.0; + } else { + s0+=166.0; + s1+=1.0; + } + } else { + if(i10<-0.728032648563385){ + s0+=6.0; + } else { + s1+=50.0; + } + } + } +} else { + if(i14<243.5){ + if(i1<986.6383056640625){ + s1+=3373.0; + } else { + s0+=3.0; + } + } else { + if(i10<-3.6609573364257812){ + s0+=66.0; + } else { + if(i20<158.99462890625){ + s1+=5.0; + } else { + s0+=3.0; + } + } + } +} +if(i29<187.5){ + if(i14<244.0){ + if(i1<964.4317626953125){ + if(i26<129.44305419921875){ + s0+=3.0; + s1+=3380.0; + } else { + s0+=1.0; + } + } else { + if(i4<-7.31829833984375){ + s1+=2.0; + } else { + s0+=16.0; + } + } + } else { + if(i25<-0.5932732820510864){ + s0+=133.0; + } else { + if(i13<156.0){ + s1+=2.0; + } else { + s0+=32.0; + } + } + } +} else { + if(i0<891.5){ + if(i6<-0.0986328125){ + if(i10<-0.7538670897483826){ + s0+=13.0; + s1+=2.0; + } else { + s1+=68.0; + } + } else { + if(i29<208.0){ + s1+=2.0; + } else { + s0+=227.0; + } + } + } else { + if(i10<-0.5788090825080872){ + s0+=2522.0; + } else { + if(i22<1014.9786987304688){ + s1+=7.0; + } else { + s0+=5.0; + } + } + } +} +if(i1<907.357421875){ + if(i25<-2.4370980262756348){ + if(i2<931.399658203125){ + if(i6<-5.432647705078125){ + s0+=4.0; + s1+=1.0; + } else { + s0+=246.0; + } + } else { + if(i5<-71.07113647460938){ + s0+=6.0; + s1+=1.0; + } else { + s1+=6.0; + } + } + } else { + if(i26<45.72352600097656){ + s1+=3349.0; + } else { + if(i7<202.7661895751953){ + s1+=1.0; + } else { + s0+=1.0; + } + } + } +} else { + if(i4<-17.6533203125){ + if(i17<1082.542724609375){ + s1+=13.0; + } else { + s0+=4.0; + } + } else { + if(i4<-10.283905029296875){ + if(i26<18.74930191040039){ + s0+=3.0; + s1+=8.0; + } else { + s0+=22.0; + } + } else { + if(i25<-1.1749944686889648){ + s0+=2665.0; + s1+=6.0; + } else { + s0+=71.0; + s1+=8.0; + } + } + } +} +if(i16<717.6231079101562){ + if(i13<241.0){ + if(i25<-1.8411003351211548){ + if(i0<892.5){ + s0+=10.0; + s1+=27.0; + } else { + s0+=21.0; + s1+=3.0; + } + } else { + if(i9<21.94424819946289){ + s0+=6.0; + s1+=3320.0; + } else { + s0+=6.0; + } + } + } else { + s0+=114.0; + } +} else { + if(i13<116.5){ + if(i25<-1.6331794261932373){ + if(i10<-0.048062123358249664){ + s0+=191.0; + s1+=3.0; + } else { + s0+=1.0; + s1+=8.0; + } + } else { + s1+=30.0; + } + } else { + if(i14<173.5){ + if(i6<-1.716461181640625){ + s1+=6.0; + } else { + s0+=53.0; + s1+=1.0; + } + } else { + if(i16<719.5187377929688){ + s0+=9.0; + s1+=1.0; + } else { + s0+=2605.0; + } + } + } +} +if(i10<-0.9517390727996826){ + if(i14<206.5){ + if(i16<724.55810546875){ + if(i2<837.7864379882812){ + s0+=3.0; + } else { + s0+=5.0; + s1+=162.0; + } + } else { + if(i28<97.0){ + s1+=1.0; + } else { + s0+=118.0; + } + } + } else { + if(i14<257.0){ + if(i8<235.96731567382812){ + s0+=112.0; + s1+=1.0; + } else { + s0+=4.0; + s1+=15.0; + } + } else { + if(i25<-0.4097781181335449){ + s0+=2623.0; + } else { + s0+=14.0; + s1+=1.0; + } + } + } +} else { + if(i25<-2.6518378257751465){ + if(i8<179.9505157470703){ + s0+=110.0; + } else { + if(i0<912.0){ + s1+=11.0; + } else { + s0+=7.0; + } + } + } else { + if(i21<3.540618896484375){ + if(i25<-2.1519620418548584){ + s0+=3.0; + s1+=18.0; + } else { + s1+=3206.0; + } + } else { + s0+=1.0; + } + } +} +if(i4<1.52838134765625){ + if(i29<273.5){ + if(i19<6.385833740234375){ + if(i22<595.57763671875){ + s0+=5.0; + s1+=3386.0; + } else { + s0+=6.0; + s1+=4.0; + } + } else { + s0+=13.0; + } + } else { + if(i29<371.0){ + if(i22<369.03558349609375){ + s1+=8.0; + } else { + s0+=16.0; + s1+=3.0; + } + } else { + s0+=165.0; + } + } +} else { + if(i10<-0.2925524115562439){ + if(i25<1.7590787410736084){ + if(i14<217.5){ + s0+=196.0; + s1+=12.0; + } else { + s0+=2598.0; + } + } else { + s1+=1.0; + } + } else { + s1+=2.0; + } +} +if(i1<906.0533447265625){ + if(i25<-3.2727913856506348){ + if(i27<6.86574125289917){ + s0+=212.0; + } else { + if(i12<3.693650484085083){ + s1+=6.0; + } else { + s0+=13.0; + } + } + } else { + if(i7<229.0365753173828){ + if(i22<555.8748779296875){ + s0+=1.0; + s1+=3357.0; + } else { + s0+=2.0; + s1+=3.0; + } + } else { + if(i1<843.8784790039062){ + s0+=5.0; + } else { + s1+=44.0; + } + } + } +} else { + if(i4<-18.14892578125){ + if(i11<28.783845901489258){ + s1+=13.0; + } else { + s0+=2.0; + } + } else { + if(i28<104.5){ + if(i14<258.0){ + s0+=16.0; + s1+=22.0; + } else { + s0+=108.0; + } + } else { + if(i1<926.5743408203125){ + s0+=28.0; + s1+=3.0; + } else { + s0+=2579.0; + s1+=1.0; + } + } + } +} +if(i4<1.39312744140625){ + if(i7<279.978759765625){ + if(i25<-2.1863315105438232){ + if(i22<277.80194091796875){ + s1+=3.0; + } else { + s0+=68.0; + s1+=5.0; + } + } else { + s1+=3382.0; + } + } else { + if(i16<736.7077026367188){ + if(i0<988.5){ + s0+=1.0; + s1+=38.0; + } else { + s0+=2.0; + } + } else { + if(i10<-0.33273017406463623){ + s0+=123.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=1.0; + } + } + } +} else { + if(i0<935.5){ + if(i2<1002.7160034179688){ + if(i8<4.513516426086426){ + s1+=8.0; + } else { + s0+=242.0; + } + } else { + if(i23<107.43269348144531){ + s0+=6.0; + } else { + s1+=16.0; + } + } + } else { + if(i1<972.6070556640625){ + if(i14<237.5){ + s0+=3.0; + s1+=1.0; + } else { + s0+=50.0; + } + } else { + s0+=2464.0; + } + } +} +if(i14<215.5){ + if(i6<0.922271728515625){ + if(i25<-2.4370980262756348){ + if(i19<-19.993133544921875){ + s0+=3.0; + s1+=9.0; + } else { + s0+=51.0; + } + } else { + if(i7<638.19287109375){ + s0+=2.0; + s1+=3364.0; + } else { + s0+=6.0; + s1+=6.0; + } + } + } else { + if(i27<2.811462879180908){ + s0+=197.0; + } else { + if(i3<-4.76361083984375){ + s1+=12.0; + } else { + s0+=3.0; + } + } + } +} else { + if(i10<-0.5788090825080872){ + if(i6<-10.34051513671875){ + if(i25<-7.740747451782227){ + s0+=1.0; + } else { + s1+=6.0; + } + } else { + if(i4<-10.283905029296875){ + s0+=18.0; + s1+=6.0; + } else { + s0+=2699.0; + s1+=4.0; + } + } + } else { + if(i15<1219.5){ + s1+=22.0; + } else { + s0+=6.0; + } + } +} +if(i4<1.5306396484375){ + if(i22<485.7025451660156){ + if(i16<827.2705078125){ + if(i13<243.5){ + s0+=4.0; + s1+=3338.0; + } else { + s0+=1.0; + } + } else { + s0+=21.0; + } + } else { + if(i7<32.22509002685547){ + if(i3<-3.64276123046875){ + s0+=2.0; + } else { + s1+=7.0; + } + } else { + if(i19<-19.993133544921875){ + s0+=4.0; + s1+=7.0; + } else { + s0+=188.0; + } + } + } +} else { + if(i14<197.5){ + if(i4<1.59332275390625){ + s1+=2.0; + } else { + if(i21<-4.300994873046875){ + s1+=10.0; + } else { + s0+=196.0; + } + } + } else { + if(i19<-17.869110107421875){ + if(i21<-11.025848388671875){ + s0+=93.0; + } else { + s1+=1.0; + } + } else { + s0+=2541.0; + } + } +} +if(i0<936.5){ + if(i16<768.4920654296875){ + if(i4<1.59332275390625){ + if(i20<-137.24807739257812){ + s0+=3.0; + s1+=3.0; + } else { + s0+=7.0; + s1+=3461.0; + } + } else { + if(i27<2.182286262512207){ + s0+=19.0; + } else { + s1+=7.0; + } + } + } else { + if(i22<162.55215454101562){ + s1+=5.0; + } else { + if(i17<713.4501953125){ + s1+=8.0; + } else { + s0+=272.0; + s1+=7.0; + } + } + } +} else { + if(i14<253.5){ + if(i7<534.1826782226562){ + if(i4<1.720947265625){ + s1+=29.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + if(i8<235.96731567382812){ + s0+=40.0; + } else { + s1+=1.0; + } + } + } else { + if(i12<5.225632190704346){ + s0+=2476.0; + } else { + if(i0<988.5){ + s1+=1.0; + } else { + s0+=73.0; + } + } + } +} +if(i29<192.5){ + if(i1<954.100341796875){ + if(i26<26.047658920288086){ + s1+=3293.0; + } else { + if(i6<-2.509124755859375){ + s1+=25.0; + } else { + s0+=9.0; + s1+=11.0; + } + } + } else { + if(i1<975.7347412109375){ + if(i18<-2.859100341796875){ + s0+=5.0; + } else { + s1+=3.0; + } + } else { + if(i23<118.28860473632812){ + s0+=157.0; + } else { + s0+=37.0; + s1+=1.0; + } + } + } +} else { + if(i21<3.53778076171875){ + if(i5<64.92257690429688){ + if(i17<714.5467529296875){ + s1+=57.0; + } else { + s0+=129.0; + s1+=13.0; + } + } else { + if(i4<-6.13336181640625){ + s1+=5.0; + } else { + s0+=208.0; + } + } + } else { + s0+=2462.0; + } +} +if(i14<217.5){ + if(i25<-2.6722426414489746){ + if(i6<-1.329833984375){ + if(i19<-19.993133544921875){ + s0+=4.0; + s1+=10.0; + } else { + s0+=11.0; + } + } else { + s0+=249.0; + } + } else { + if(i3<-11.908172607421875){ + if(i1<958.375244140625){ + s1+=5.0; + } else { + s0+=9.0; + } + } else { + if(i7<585.2171630859375){ + s0+=4.0; + s1+=3324.0; + } else { + s0+=2.0; + } + } + } +} else { + if(i1<839.4381713867188){ + if(i4<1.895965576171875){ + s1+=12.0; + } else { + s0+=6.0; + } + } else { + if(i4<-10.07183837890625){ + if(i15<840.5){ + s1+=15.0; + } else { + s0+=24.0; + } + } else { + if(i29<138.0){ + s0+=61.0; + s1+=9.0; + } else { + s0+=2670.0; + } + } + } +} +if(i19<2.7996826171875){ + if(i25<-1.1907103061676025){ + if(i0<939.0){ + if(i15<747.0){ + s0+=2.0; + s1+=46.0; + } else { + s0+=20.0; + s1+=6.0; + } + } else { + if(i0<962.5){ + s0+=6.0; + s1+=3.0; + } else { + s0+=288.0; + } + } + } else { + if(i0<1016.0){ + if(i15<1149.5){ + s0+=2.0; + s1+=3325.0; + } else { + s0+=2.0; + } + } else { + s0+=55.0; + } + } +} else { + if(i10<-0.2947789132595062){ + if(i0<885.0){ + if(i11<-4.783102512359619){ + s0+=13.0; + s1+=2.0; + } else { + s0+=173.0; + } + } else { + s0+=2423.0; + } + } else { + if(i27<0.08913247287273407){ + if(i3<-7.281005859375){ + s0+=1.0; + } else { + s1+=41.0; + } + } else { + s0+=7.0; + } + } +} +if(i25<-1.2063809633255005){ + if(i21<-10.13568115234375){ + if(i10<-0.624762773513794){ + if(i27<7.469714164733887){ + s0+=2.0; + s1+=5.0; + } else { + s0+=76.0; + } + } else { + s1+=59.0; + } + } else { + if(i28<100.0){ + if(i18<-2.737640380859375){ + s0+=58.0; + } else { + s0+=7.0; + s1+=1.0; + } + } else { + s0+=2751.0; + } + } +} else { + if(i14<278.5){ + if(i4<14.53277587890625){ + s1+=3379.0; + } else { + s0+=4.0; + } + } else { + s0+=73.0; + } +} +if(i16<711.9425048828125){ + if(i4<1.62841796875){ + if(i1<975.0191650390625){ + if(i22<493.99053955078125){ + s1+=3415.0; + } else { + s0+=4.0; + s1+=1.0; + } + } else { + s0+=6.0; + } + } else { + if(i27<3.268620491027832){ + s0+=118.0; + } else { + s1+=5.0; + } + } +} else { + if(i0<914.5){ + if(i25<-1.6320334672927856){ + if(i6<-8.075469970703125){ + s0+=10.0; + s1+=6.0; + } else { + s0+=251.0; + s1+=2.0; + } + } else { + s1+=56.0; + } + } else { + if(i6<-10.85040283203125){ + if(i21<14.359649658203125){ + s1+=1.0; + } else { + s0+=6.0; + } + } else { + if(i25<-3.5401530265808105){ + s0+=2110.0; + } else { + s0+=423.0; + s1+=1.0; + } + } + } +} +if(i15<702.5){ + if(i0<978.0){ + if(i1<971.3740234375){ + if(i21<4.50994873046875){ + s0+=3.0; + s1+=3321.0; + } else { + s0+=5.0; + } + } else { + s0+=8.0; + } + } else { + s0+=115.0; + } +} else { + if(i29<187.5){ + if(i6<-1.352874755859375){ + s1+=58.0; + } else { + if(i20<6.953399658203125){ + s0+=49.0; + s1+=1.0; + } else { + s1+=3.0; + } + } + } else { + if(i17<646.6053466796875){ + s1+=37.0; + } else { + if(i25<-1.196779489517212){ + s0+=2765.0; + s1+=8.0; + } else { + s0+=24.0; + s1+=18.0; + } + } + } +} +if(i14<211.5){ + if(i21<2.847869873046875){ + if(i22<1015.0108032226562){ + if(i7<640.3209228515625){ + s0+=2.0; + s1+=3425.0; + } else { + s0+=1.0; + s1+=6.0; + } + } else { + s0+=9.0; + } + } else { + if(i17<669.7369995117188){ + s1+=3.0; + } else { + s0+=209.0; + } + } +} else { + if(i16<624.599365234375){ + s1+=24.0; + } else { + if(i16<650.20947265625){ + if(i10<-3.884016513824463){ + s0+=35.0; + } else { + s1+=12.0; + } + } else { + if(i25<-0.3133089542388916){ + s0+=2683.0; + s1+=1.0; + } else { + s0+=3.0; + s1+=2.0; + } + } + } +} +if(i17<694.3304443359375){ + if(i14<275.0){ + if(i4<2.079620361328125){ + if(i7<586.7991943359375){ + s1+=3169.0; + } else { + s0+=3.0; + } + } else { + s0+=5.0; + } + } else { + s0+=83.0; + } +} else { + if(i29<147.5){ + if(i4<2.033843994140625){ + if(i26<74.63142395019531){ + s0+=1.0; + s1+=209.0; + } else { + s0+=2.0; + } + } else { + if(i19<-13.51251220703125){ + s0+=1.0; + s1+=2.0; + } else { + s0+=43.0; + } + } + } else { + if(i21<-10.53936767578125){ + if(i10<-1.8275082111358643){ + s0+=87.0; + } else { + s0+=6.0; + s1+=37.0; + } + } else { + if(i16<666.2169189453125){ + s0+=1.0; + s1+=1.0; + } else { + s0+=2765.0; + } + } + } +} +if(i0<943.5){ + if(i21<3.540618896484375){ + if(i5<-161.17098999023438){ + if(i29<36.0){ + s1+=5.0; + } else { + s0+=15.0; + } + } else { + if(i28<308.5){ + s0+=9.0; + s1+=3412.0; + } else { + s0+=12.0; + } + } + } else { + s0+=291.0; + } +} else { + if(i13<180.5){ + if(i12<4.647104263305664){ + if(i17<793.3773193359375){ + s0+=6.0; + s1+=10.0; + } else { + s0+=122.0; + } + } else { + if(i21<15.28497314453125){ + s1+=9.0; + } else { + s0+=3.0; + } + } + } else { + if(i6<-5.967010498046875){ + if(i5<66.9422607421875){ + s0+=10.0; + } else { + s1+=3.0; + } + } else { + s0+=2508.0; + } + } +} +if(i6<0.916778564453125){ + if(i2<1005.1282958984375){ + if(i16<813.02294921875){ + if(i16<749.345703125){ + s0+=5.0; + s1+=3257.0; + } else { + s0+=5.0; + s1+=22.0; + } + } else { + s0+=56.0; + } + } else { + if(i16<725.0040283203125){ + if(i25<-1.0588948726654053){ + s0+=8.0; + } else { + s0+=2.0; + s1+=110.0; + } + } else { + s0+=119.0; + } + } +} else { + if(i28<86.0){ + if(i10<-1.4548351764678955){ + if(i19<-10.94384765625){ + s0+=4.0; + s1+=2.0; + } else { + s0+=59.0; + } + } else { + s1+=4.0; + } + } else { + if(i29<183.5){ + if(i14<196.5){ + s0+=4.0; + s1+=2.0; + } else { + s0+=102.0; + } + } else { + s0+=2654.0; + } + } +} +if(i25<-1.4169840812683105){ + if(i21<-10.766021728515625){ + if(i10<-0.9018421173095703){ + s0+=76.0; + } else { + s1+=59.0; + } + } else { + if(i28<100.0){ + if(i21<-7.7266845703125){ + s1+=2.0; + } else { + s0+=66.0; + } + } else { + s0+=2770.0; + } + } +} else { + if(i13<221.0){ + if(i6<1.1968994140625){ + if(i14<150.5){ + s1+=2811.0; + } else { + s0+=2.0; + s1+=546.0; + } + } else { + if(i7<575.0897827148438){ + s0+=2.0; + s1+=3.0; + } else { + s0+=8.0; + } + } + } else { + if(i16<612.25634765625){ + s1+=3.0; + } else { + s0+=67.0; + } + } +} +if(i29<187.5){ + if(i1<957.154296875){ + if(i16<802.5020751953125){ + if(i24<23.29443359375){ + s0+=2.0; + s1+=3396.0; + } else { + s0+=2.0; + } + } else { + s0+=2.0; + } + } else { + if(i4<-7.676025390625){ + s1+=4.0; + } else { + if(i0<912.5){ + s0+=2.0; + s1+=1.0; + } else { + s0+=170.0; + } + } + } +} else { + if(i10<-0.29825010895729065){ + if(i4<-29.763885498046875){ + s1+=3.0; + } else { + if(i23<16.66304588317871){ + s0+=34.0; + s1+=5.0; + } else { + s0+=2713.0; + s1+=3.0; + } + } + } else { + if(i24<-103.22481536865234){ + s0+=3.0; + } else { + if(i19<18.809783935546875){ + s1+=74.0; + } else { + s0+=1.0; + } + } + } +} +if(i6<0.922210693359375){ + if(i16<792.476318359375){ + if(i22<618.772705078125){ + if(i25<-4.2543511390686035){ + s0+=2.0; + } else { + s0+=8.0; + s1+=3455.0; + } + } else { + if(i11<7.780959606170654){ + s1+=1.0; + } else { + s0+=9.0; + s1+=1.0; + } + } + } else { + if(i19<-26.8280029296875){ + s1+=2.0; + } else { + s0+=172.0; + } + } +} else { + if(i14<219.5){ + if(i16<724.55810546875){ + if(i8<200.96170043945312){ + s0+=18.0; + } else { + s1+=13.0; + } + } else { + if(i2<1007.918701171875){ + s0+=200.0; + } else { + s0+=4.0; + s1+=3.0; + } + } + } else { + s0+=2527.0; + } +} +if(i28<171.5){ + if(i6<0.981964111328125){ + if(i18<-11.0946044921875){ + if(i17<884.344482421875){ + s0+=2.0; + s1+=2.0; + } else { + s0+=11.0; + } + } else { + if(i5<246.79275512695312){ + s0+=4.0; + s1+=3357.0; + } else { + s0+=2.0; + } + } + } else { + if(i0<958.5){ + if(i27<3.335263252258301){ + s0+=19.0; + } else { + s1+=8.0; + } + } else { + s0+=272.0; + } + } +} else { + if(i17<693.8291015625){ + if(i2<967.5635375976562){ + s1+=59.0; + } else { + s0+=3.0; + } + } else { + if(i10<0.03206095099449158){ + if(i28<201.5){ + s0+=93.0; + s1+=2.0; + } else { + s0+=2572.0; + } + } else { + s1+=9.0; + } + } +} +if(i0<927.5){ + if(i21<3.540618896484375){ + if(i4<2.0660400390625){ + if(i28<360.0){ + s0+=17.0; + s1+=3419.0; + } else { + s0+=6.0; + } + } else { + if(i8<193.4480743408203){ + s0+=6.0; + } else { + s1+=5.0; + } + } + } else { + s0+=264.0; + } +} else { + if(i10<-0.29461920261383057){ + if(i14<243.5){ + if(i19<1.94287109375){ + s0+=1.0; + s1+=23.0; + } else { + s0+=28.0; + } + } else { + if(i4<-18.00982666015625){ + s0+=5.0; + s1+=3.0; + } else { + s0+=2620.0; + s1+=2.0; + } + } + } else { + s1+=16.0; + } +} +if(i16<709.5064697265625){ + if(i4<1.614837646484375){ + if(i22<480.4603271484375){ + if(i13<244.0){ + s0+=3.0; + s1+=3352.0; + } else { + s0+=2.0; + } + } else { + if(i9<6.355521202087402){ + s0+=8.0; + } else { + s1+=1.0; + } + } + } else { + if(i23<188.44686889648438){ + if(i19<-8.100067138671875){ + s1+=1.0; + } else { + s0+=117.0; + } + } else { + s1+=1.0; + } + } +} else { + if(i17<694.9194946289062){ + if(i2<948.1869506835938){ + s1+=32.0; + } else { + s0+=8.0; + } + } else { + if(i4<-17.996795654296875){ + if(i29<270.5){ + s1+=16.0; + } else { + s0+=8.0; + } + } else { + if(i21<-10.13568115234375){ + s0+=103.0; + s1+=15.0; + } else { + s0+=2743.0; + s1+=5.0; + } + } + } +} +if(i4<1.5306396484375){ + if(i16<790.8289794921875){ + if(i18<-11.081329345703125){ + if(i20<-176.27609252929688){ + s0+=1.0; + s1+=3.0; + } else { + s0+=8.0; + } + } else { + if(i19<6.29779052734375){ + s0+=7.0; + s1+=3439.0; + } else { + s0+=7.0; + } + } + } else { + if(i14<55.0){ + s1+=1.0; + } else { + if(i17<720.3336181640625){ + s1+=2.0; + } else { + s0+=179.0; + } + } + } +} else { + if(i14<219.5){ + if(i28<157.5){ + if(i21<0.6666259765625){ + s0+=1.0; + s1+=21.0; + } else { + s0+=13.0; + } + } else { + if(i12<-0.4702703058719635){ + s1+=1.0; + } else { + s0+=182.0; + } + } + } else { + s0+=2550.0; + } +} +if(i6<0.907196044921875){ + if(i16<790.168212890625){ + if(i20<-141.21380615234375){ + if(i25<-2.679102897644043){ + s0+=3.0; + s1+=8.0; + } else { + s0+=8.0; + } + } else { + if(i0<1017.0){ + s0+=9.0; + s1+=3409.0; + } else { + s0+=2.0; + } + } + } else { + if(i21<-2.169586181640625){ + if(i7<280.34185791015625){ + s1+=3.0; + } else { + s0+=20.0; + } + } else { + s0+=161.0; + } + } +} else { + if(i29<48.0){ + s1+=1.0; + } else { + if(i1<949.5777587890625){ + if(i25<-1.9470564126968384){ + s0+=269.0; + s1+=3.0; + } else { + s1+=4.0; + } + } else { + s0+=2515.0; + } + } +} +if(i4<1.411834716796875){ + if(i21<3.344146728515625){ + if(i16<790.8289794921875){ + if(i22<617.6793823242188){ + s0+=4.0; + s1+=3416.0; + } else { + s0+=12.0; + s1+=2.0; + } + } else { + if(i26<-23.086687088012695){ + s1+=5.0; + } else { + s0+=27.0; + } + } + } else { + s0+=151.0; + } +} else { + if(i22<114.91987609863281){ + if(i1<947.689208984375){ + s1+=5.0; + } else { + s0+=98.0; + } + } else { + if(i29<59.5){ + s1+=1.0; + } else { + if(i16<796.16796875){ + s0+=313.0; + s1+=7.0; + } else { + s0+=2374.0; + } + } + } +} +if(i10<-1.3402595520019531){ + if(i4<-17.72784423828125){ + if(i29<673.5){ + s1+=108.0; + } else { + s0+=6.0; + } + } else { + if(i19<0.99700927734375){ + if(i14<266.0){ + s0+=21.0; + s1+=19.0; + } else { + s0+=276.0; + } + } else { + s0+=2451.0; + } + } +} else { + if(i16<780.24853515625){ + if(i6<0.966949462890625){ + if(i26<115.05418395996094){ + s0+=4.0; + s1+=3295.0; + } else { + s0+=1.0; + } + } else { + if(i2<920.6920166015625){ + s0+=14.0; + } else { + s1+=4.0; + } + } + } else { + if(i10<0.01053011417388916){ + if(i16<801.4146728515625){ + s0+=12.0; + s1+=1.0; + } else { + s0+=197.0; + } + } else { + if(i28<673.5){ + s1+=5.0; + } else { + s0+=1.0; + } + } + } +} +if(i6<0.922271728515625){ + if(i26<39.62577819824219){ + if(i15<880.5){ + if(i25<-3.4921329021453857){ + s0+=5.0; + } else { + s0+=5.0; + s1+=3433.0; + } + } else { + if(i29<380.5){ + s1+=1.0; + } else { + s0+=69.0; + } + } + } else { + if(i27<9.789770126342773){ + if(i19<-19.95196533203125){ + s1+=3.0; + } else { + s0+=118.0; + } + } else { + if(i5<-42.5335693359375){ + s0+=1.0; + } else { + s1+=8.0; + } + } + } +} else { + if(i29<126.0){ + if(i23<141.364013671875){ + s0+=59.0; + } else { + if(i26<39.53644561767578){ + s1+=3.0; + } else { + s0+=1.0; + } + } + } else { + if(i21<-11.7265625){ + if(i21<-11.986846923828125){ + s0+=85.0; + } else { + s1+=1.0; + } + } else { + s0+=2623.0; + } + } +} +if(i28<160.5){ + if(i14<244.0){ + if(i11<34.41748809814453){ + if(i18<-10.38311767578125){ + s0+=9.0; + s1+=6.0; + } else { + s0+=5.0; + s1+=3365.0; + } + } else { + if(i19<-9.219940185546875){ + s1+=12.0; + } else { + s0+=26.0; + s1+=1.0; + } + } + } else { + if(i14<275.0){ + if(i3<-4.12969970703125){ + s0+=8.0; + } else { + s0+=1.0; + s1+=7.0; + } + } else { + s0+=239.0; + } + } +} else { + if(i0<902.0){ + if(i19<6.42230224609375){ + if(i22<712.2781982421875){ + s1+=70.0; + } else { + s0+=12.0; + s1+=1.0; + } + } else { + s0+=228.0; + } + } else { + if(i1<833.6015014648438){ + s1+=1.0; + } else { + if(i29<263.0){ + s0+=129.0; + s1+=1.0; + } else { + s0+=2294.0; + } + } + } +} +if(i25<-1.1380813121795654){ + if(i14<108.5){ + if(i4<-2.7498779296875){ + s1+=34.0; + } else { + s0+=36.0; + } + } else { + if(i6<-10.642486572265625){ + if(i28<126.5){ + s1+=11.0; + } else { + s0+=11.0; + } + } else { + if(i14<219.5){ + s0+=209.0; + s1+=22.0; + } else { + s0+=2637.0; + } + } + } +} else { + if(i1<982.4171142578125){ + s1+=3380.0; + } else { + s0+=75.0; + } +} +if(i10<-0.9433826208114624){ + if(i4<-15.906982421875){ + if(i25<-2.3449015617370605){ + s0+=13.0; + } else { + s1+=160.0; + } + } else { + if(i1<835.8843994140625){ + if(i25<-2.482612133026123){ + s0+=20.0; + } else { + s1+=18.0; + } + } else { + if(i25<-0.6982661485671997){ + s0+=2731.0; + s1+=8.0; + } else { + s0+=39.0; + s1+=13.0; + } + } + } +} else { + if(i19<6.42230224609375){ + if(i24<21.101333618164062){ + if(i29<280.0){ + s1+=3276.0; + } else { + s0+=8.0; + s1+=11.0; + } + } else { + s0+=4.0; + } + } else { + s0+=114.0; + } +} +if(i25<-1.2063809633255005){ + if(i25<-1.7721725702285767){ + if(i0<933.5){ + if(i29<248.0){ + s0+=21.0; + s1+=29.0; + } else { + s0+=242.0; + } + } else { + if(i16<720.079345703125){ + s0+=43.0; + s1+=1.0; + } else { + s0+=2517.0; + } + } + } else { + if(i13<190.5){ + if(i7<496.1491394042969){ + s1+=41.0; + } else { + s0+=3.0; + } + } else { + s0+=77.0; + } + } +} else { + if(i4<2.023223876953125){ + if(i1<986.6383056640625){ + s1+=3363.0; + } else { + if(i10<-4.091432571411133){ + s0+=7.0; + } else { + s1+=1.0; + } + } + } else { + if(i0<940.0){ + if(i28<140.0){ + s0+=1.0; + } else { + s1+=3.0; + } + } else { + s0+=66.0; + } + } +} +if(i29<195.0){ + if(i14<244.0){ + if(i4<2.033843994140625){ + if(i18<-24.413360595703125){ + s0+=2.0; + } else { + s0+=1.0; + s1+=3378.0; + } + } else { + if(i21<-3.288970947265625){ + s1+=5.0; + } else { + s0+=19.0; + } + } + } else { + if(i4<-6.316314697265625){ + s1+=3.0; + } else { + s0+=201.0; + } + } +} else { + if(i4<-3.415740966796875){ + if(i14<175.0){ + if(i11<21.850868225097656){ + s0+=1.0; + s1+=45.0; + } else { + s0+=9.0; + } + } else { + if(i12<1.5907187461853027){ + s1+=1.0; + } else { + s0+=87.0; + s1+=1.0; + } + } + } else { + if(i8<6.586704730987549){ + if(i10<-0.3021446764469147){ + s0+=17.0; + } else { + s1+=5.0; + } + } else { + if(i17<638.6911010742188){ + s1+=3.0; + } else { + s0+=2635.0; + s1+=2.0; + } + } + } +} +if(i25<-1.035907506942749){ + if(i29<149.5){ + if(i10<-0.41864368319511414){ + if(i22<84.091796875){ + s0+=2.0; + s1+=4.0; + } else { + s0+=58.0; + s1+=2.0; + } + } else { + s1+=63.0; + } + } else { + if(i4<-17.909393310546875){ + if(i11<18.085153579711914){ + s1+=7.0; + } else { + s0+=8.0; + } + } else { + if(i16<666.2169189453125){ + s0+=9.0; + s1+=2.0; + } else { + s0+=2857.0; + s1+=3.0; + } + } + } +} else { + if(i7<454.86285400390625){ + if(i29<568.0){ + s1+=3319.0; + } else { + s0+=13.0; + } + } else { + if(i9<-14.341032028198242){ + s0+=54.0; + } else { + if(i2<1139.0877685546875){ + s0+=6.0; + } else { + s1+=8.0; + } + } + } +} +if(i25<-1.2301151752471924){ + if(i27<5.947185516357422){ + if(i16<684.1524658203125){ + if(i13<175.5){ + s0+=18.0; + s1+=6.0; + } else { + s0+=39.0; + } + } else { + s0+=2692.0; + } + } else { + if(i1<913.609130859375){ + if(i10<-0.9320274591445923){ + s0+=9.0; + } else { + s1+=55.0; + } + } else { + if(i15<713.5){ + s1+=2.0; + } else { + s0+=155.0; + s1+=1.0; + } + } + } +} else { + if(i9<-33.76123046875){ + s0+=46.0; + } else { + if(i3<-12.435150146484375){ + if(i22<132.59365844726562){ + s0+=12.0; + } else { + s1+=2.0; + } + } else { + if(i1<1019.8316650390625){ + s0+=1.0; + s1+=3368.0; + } else { + s0+=9.0; + } + } + } +} +if(i6<0.922271728515625){ + if(i21<3.854461669921875){ + if(i28<360.0){ + if(i26<36.673072814941406){ + s0+=4.0; + s1+=3444.0; + } else { + s0+=15.0; + s1+=11.0; + } + } else { + s0+=20.0; + } + } else { + s0+=161.0; + } +} else { + if(i14<220.0){ + if(i27<4.122594356536865){ + if(i4<8.387847900390625){ + s0+=195.0; + } else { + s0+=25.0; + s1+=1.0; + } + } else { + s1+=11.0; + } + } else { + s0+=2528.0; + } +} +if(i1<935.5882568359375){ + if(i21<3.344146728515625){ + if(i17<994.5938720703125){ + if(i28<360.0){ + s0+=7.0; + s1+=3500.0; + } else { + s0+=5.0; + } + } else { + if(i14<91.5){ + s1+=4.0; + } else { + s0+=8.0; + } + } + } else { + if(i10<-0.2733733654022217){ + s0+=278.0; + } else { + if(i5<-83.5946044921875){ + s0+=1.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i29<80.0){ + if(i1<1037.6416015625){ + s1+=6.0; + } else { + s0+=4.0; + } + } else { + if(i6<-10.36566162109375){ + if(i8<456.4115295410156){ + s0+=3.0; + } else { + s1+=4.0; + } + } else { + if(i14<263.0){ + s0+=81.0; + s1+=4.0; + } else { + s0+=2509.0; + } + } + } +} +if(i25<-1.1907103061676025){ + if(i21<-10.65985107421875){ + if(i6<3.250885009765625){ + if(i10<-0.5978307723999023){ + s0+=9.0; + s1+=2.0; + } else { + s1+=45.0; + } + } else { + if(i21<-10.7247314453125){ + s0+=87.0; + } else { + s1+=5.0; + } + } + } else { + if(i14<214.5){ + if(i25<-2.0296478271484375){ + s0+=253.0; + } else { + s0+=1.0; + s1+=2.0; + } + } else { + s0+=2541.0; + } + } +} else { + if(i1<976.2262573242188){ + s1+=3402.0; + } else { + s0+=68.0; + } +} 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s1+=2.0; + } else { + if(i0<926.5){ + s0+=242.0; + s1+=3.0; + } else { + s0+=2527.0; + } + } + } else { + s1+=1.0; + } +} +if(i4<1.533966064453125){ + if(i29<273.5){ + if(i19<5.23846435546875){ + if(i26<82.79019165039062){ + s0+=9.0; + s1+=3436.0; + } else { + s0+=3.0; + } + } else { + if(i24<-32.98233413696289){ + s1+=1.0; + } else { + s0+=9.0; + } + } + } else { + if(i17<723.0753173828125){ + s1+=13.0; + } else { + s0+=187.0; + } + } +} else { + if(i21<-5.14129638671875){ + if(i0<933.5){ + if(i23<784.3104248046875){ + s1+=10.0; + } else { + s0+=1.0; + } + } else { + if(i15<673.0){ + s1+=2.0; + } else { + s0+=160.0; + s1+=2.0; + } + } + } else { + if(i10<-0.300218403339386){ + s0+=2581.0; + } else { + s1+=1.0; + } + } +} +if(i4<1.5306396484375){ + if(i22<495.74298095703125){ + if(i29<515.5){ + if(i1<983.0913696289062){ + s0+=3.0; + s1+=3421.0; + } else { + s0+=4.0; + s1+=1.0; + } + } else { + s0+=7.0; + } + } else { + if(i12<2.7544326782226562){ + if(i15<862.0){ + s0+=12.0; + s1+=13.0; + } else { + s0+=56.0; + } + } else { + s0+=96.0; + } + } +} else { + if(i16<600.5177612304688){ + s1+=2.0; + } else { + if(i25<1.9753755331039429){ + if(i29<145.5){ + s0+=75.0; + s1+=3.0; + } else { + s0+=2719.0; + s1+=2.0; + } + } else { + s1+=1.0; + } + } +} +if(i29<195.0){ + if(i7<360.1761779785156){ + if(i6<0.976470947265625){ + if(i21<3.296112060546875){ + s1+=3410.0; + } else { + s0+=3.0; + } + } else { + if(i25<-1.7690792083740234){ + s0+=13.0; + } else { + s0+=5.0; + s1+=5.0; + } + } + } else { + if(i4<0.704925537109375){ + if(i1<968.262451171875){ + s1+=9.0; + } else { + s0+=2.0; + } + } else { + if(i19<-18.05377197265625){ + s0+=1.0; + s1+=5.0; + } else { + s0+=186.0; + s1+=2.0; + } + } + } +} else { + if(i16<749.345703125){ + if(i4<0.786376953125){ + if(i29<274.5){ + s1+=37.0; + } else { + s0+=2.0; + } + } else { + s0+=60.0; + } + } else { + if(i19<-0.7833251953125){ + if(i29<372.5){ + s0+=51.0; + s1+=20.0; + } else { + s0+=184.0; + } + } else { + s0+=2420.0; + } + } +} +if(i1<906.0533447265625){ + if(i22<480.61151123046875){ + if(i25<-4.227040767669678){ + s0+=17.0; + } else { + s1+=3415.0; + } + } else { + if(i28<146.0){ + if(i16<698.8711547851562){ + s0+=5.0; + } else { + s1+=12.0; + } + } else { + if(i21<-18.371551513671875){ + s1+=1.0; + } else { + s0+=219.0; + s1+=1.0; + } + } + } +} else { + if(i4<-15.78216552734375){ + if(i23<252.7135009765625){ + s1+=15.0; + } else { + s0+=1.0; + } + } else { + if(i16<666.2169189453125){ + if(i10<-3.906733512878418){ + s0+=75.0; + } else { + s1+=22.0; + } + } else { + if(i10<-0.8989334106445312){ + s0+=2619.0; + s1+=1.0; + } else { + s0+=11.0; + s1+=1.0; + } + } + } +} +if(i6<0.922210693359375){ + if(i28<204.5){ + if(i18<-9.970001220703125){ + if(i11<5.666616439819336){ + s1+=1.0; + } else { + s0+=21.0; + s1+=3.0; + } + } else { + if(i14<275.0){ + s0+=2.0; + s1+=3397.0; + } else { + s0+=2.0; + } + } + } else { + if(i25<-1.5825320482254028){ + s0+=183.0; + } else { + s1+=24.0; + } + } +} else { + if(i29<45.5){ + s1+=2.0; + } else { + if(i14<219.5){ + if(i21<-3.335479736328125){ + s1+=9.0; + } else { + s0+=203.0; + } + } else { + s0+=2568.0; + } + } +} +if(i4<1.55426025390625){ + if(i24<-39.49676513671875){ + if(i19<6.318023681640625){ + if(i23<200.31857299804688){ + s1+=22.0; + } else { + s0+=14.0; + } + } else { + s0+=112.0; + } + } else { + if(i16<761.2904663085938){ + if(i7<654.560302734375){ + s0+=9.0; + s1+=3382.0; + } else { + s0+=8.0; + } + } else { + if(i25<-4.4057817459106445){ + s0+=69.0; + } else { + s0+=9.0; + s1+=7.0; + } + } + } +} else { + if(i4<12.09832763671875){ + if(i21<-4.80767822265625){ + if(i2<1008.05517578125){ + s0+=28.0; + } else { + s0+=9.0; + s1+=13.0; + } + } else { + if(i10<-0.29311662912368774){ + s0+=473.0; + } else { + s1+=1.0; + } + } + } else { + s0+=2259.0; + } +} +if(i29<187.5){ + if(i7<437.72052001953125){ + if(i14<269.0){ + if(i20<-146.7093505859375){ + s0+=4.0; + s1+=3.0; + } else { + s0+=1.0; + s1+=3355.0; + } + } else { + s0+=8.0; + } + } else { + if(i0<935.5){ + if(i25<-1.2506463527679443){ + s0+=8.0; + s1+=2.0; + } else { + s1+=6.0; + } + } else { + s0+=170.0; + } + } +} else { + if(i17<676.7406005859375){ + if(i5<267.9683837890625){ + s1+=46.0; + } else { + s0+=3.0; + } + } else { + if(i17<701.115478515625){ + if(i10<-2.801455020904541){ + s0+=24.0; + } else { + s1+=7.0; + } + } else { + if(i16<674.455810546875){ + s1+=1.0; + } else { + s0+=2776.0; + s1+=1.0; + } + } + } +} +if(i29<192.5){ + if(i4<1.82647705078125){ + if(i20<-141.21380615234375){ + if(i4<-6.355743408203125){ + s1+=4.0; + } else { + s0+=12.0; + } + } else { + if(i16<636.0836181640625){ + s1+=2928.0; + } else { + s0+=2.0; + s1+=423.0; + } + } + } else { + if(i21<-8.691070556640625){ + s1+=5.0; + } else { + if(i10<-2.689685821533203){ + s0+=164.0; + } else { + s0+=8.0; + s1+=2.0; + } + } + } +} else { + if(i1<923.653564453125){ + if(i25<-2.5539402961730957){ + if(i8<211.12347412109375){ + s0+=266.0; + } else { + s0+=12.0; + s1+=5.0; + } + } else { + if(i18<-6.792816162109375){ + s0+=1.0; + } else { + s1+=60.0; + } + } + } else { + if(i19<-17.869110107421875){ + if(i13<185.0){ + s0+=4.0; + s1+=1.0; + } else { + s0+=83.0; + } + } else { + s0+=2435.0; + } + } +} +if(i25<-1.0490669012069702){ + if(i10<-0.2944759130477905){ + if(i29<71.5){ + if(i11<41.85485076904297){ + s1+=2.0; + } else { + s0+=3.0; + } + } else { + if(i29<187.5){ + s0+=146.0; + s1+=6.0; + } else { + s0+=2728.0; + s1+=1.0; + } + } + } else { + if(i21<2.47857666015625){ + s1+=60.0; + } else { + s0+=9.0; + } + } +} else { + if(i7<531.6737060546875){ + if(i6<2.078826904296875){ + s1+=3405.0; + } else { + s0+=13.0; + } + } else { + if(i14<184.5){ + s1+=2.0; + } else { + s0+=40.0; + } + } +} +if(i1<914.0380249023438){ + if(i25<-3.3511548042297363){ + if(i6<-1.193634033203125){ + if(i12<2.687566041946411){ + s0+=3.0; + s1+=4.0; + } else { + s0+=25.0; + } + } else { + s0+=236.0; + } + } else { + if(i6<0.966949462890625){ + if(i19<6.42230224609375){ + s0+=3.0; + s1+=3391.0; + } else { + s0+=2.0; + } + } else { + s0+=3.0; + } + } +} else { + if(i13<154.0){ + if(i22<260.10601806640625){ + if(i8<195.1134033203125){ + s0+=11.0; + } else { + s1+=22.0; + } + } else { + if(i22<431.82476806640625){ + s0+=17.0; + s1+=3.0; + } else { + s0+=145.0; + s1+=1.0; + } + } + } else { + if(i16<650.7310791015625){ + if(i24<-13.517744064331055){ + s1+=2.0; + } else { + s0+=28.0; + } + } else { + if(i1<925.2252807617188){ + s0+=16.0; + s1+=1.0; + } else { + s0+=2502.0; + } + } + } +} +if(i4<1.537872314453125){ + if(i7<283.8624572753906){ + if(i21<3.441162109375){ + if(i22<614.1182861328125){ + s1+=3330.0; + } else { + s0+=3.0; + s1+=2.0; + } + } else { + s0+=51.0; + } + } else { + if(i9<-8.756355285644531){ + if(i8<590.4757690429688){ + s0+=78.0; + } else { + s1+=1.0; + } + } else { + if(i1<968.262451171875){ + s0+=17.0; + s1+=40.0; + } else { + s0+=41.0; + s1+=1.0; + } + } + } +} else { + if(i16<599.182373046875){ + s1+=2.0; + } else { + if(i13<170.5){ + if(i19<-13.905029296875){ + s0+=3.0; + s1+=7.0; + } else { + s0+=271.0; + } + } else { + s0+=2568.0; + } + } +} +if(i25<-1.1907103061676025){ + if(i4<-6.905364990234375){ + if(i25<-4.4057817459106445){ + s0+=63.0; + } else { + if(i26<81.91893005371094){ + s0+=2.0; + s1+=59.0; + } else { + s0+=1.0; + } + } + } else { + if(i6<-3.57421875){ + if(i21<-2.181304931640625){ + s1+=2.0; + } else { + s0+=11.0; + } + } else { + if(i14<219.5){ + s0+=252.0; + s1+=7.0; + } else { + s0+=2606.0; + } + } + } +} else { + if(i0<979.0){ + if(i29<661.5){ + if(i7<640.3209228515625){ + s1+=3324.0; + } else { + s0+=4.0; + s1+=5.0; + } + } else { + s0+=1.0; + } + } else { + if(i25<-0.41042929887771606){ + s0+=56.0; + } else { + if(i0<1023.0){ + s0+=1.0; + s1+=1.0; + } else { + s0+=20.0; + } + } + } +} +if(i29<192.5){ + if(i6<0.981964111328125){ + if(i5<-145.91290283203125){ + if(i25<1.3419312238693237){ + s0+=5.0; + } else { + s1+=4.0; + } + } else { + if(i14<294.5){ + s0+=1.0; + s1+=3278.0; + } else { + s0+=1.0; + } + } + } else { + if(i1<970.62255859375){ + if(i8<187.6798858642578){ + s0+=11.0; + } else { + s1+=11.0; + } + } else { + s0+=199.0; + } + } +} else { + if(i17<649.123046875){ + s1+=56.0; + } else { + if(i6<-3.67950439453125){ + if(i8<103.033935546875){ + s0+=1.0; + s1+=11.0; + } else { + s0+=67.0; + s1+=1.0; + } + } else { + if(i16<668.859619140625){ + s0+=5.0; + s1+=1.0; + } else { + s0+=2762.0; + s1+=1.0; + } + } + } +} +if(i0<931.5){ + if(i21<3.390960693359375){ + if(i25<-2.840043544769287){ + if(i29<257.0){ + s1+=7.0; + } else { + s0+=20.0; + s1+=1.0; + } + } else { + if(i25<-1.848633885383606){ + s0+=6.0; + s1+=17.0; + } else { + s0+=1.0; + s1+=3407.0; + } + } + } else { + s0+=244.0; + } +} else { + if(i0<964.5){ + if(i22<198.72100830078125){ + if(i25<-1.0062065124511719){ + s0+=2.0; + } else { + s1+=30.0; + } + } else { + if(i27<4.925358772277832){ + s0+=57.0; + } else { + s0+=7.0; + s1+=9.0; + } + } + } else { + if(i28<85.5){ + if(i18<1.222320556640625){ + s0+=68.0; + s1+=2.0; + } else { + s1+=3.0; + } + } else { + s0+=2534.0; + } + } +} +if(i15<715.5){ + if(i2<1023.9616088867188){ + if(i7<398.0788879394531){ + if(i19<6.18609619140625){ + s0+=4.0; + s1+=3242.0; + } else { + s0+=18.0; + } + } else { + if(i2<1018.19091796875){ + s0+=23.0; + } else { + s1+=5.0; + } + } + } else { + if(i10<-3.6049299240112305){ + if(i6<-8.26068115234375){ + s1+=13.0; + } else { + s0+=191.0; + s1+=3.0; + } + } else { + if(i23<74.80467224121094){ + s0+=1.0; + } else { + s1+=81.0; + } + } + } +} else { + if(i1<884.56494140625){ + if(i19<6.42230224609375){ + if(i26<16.673717498779297){ + s0+=2.0; + s1+=68.0; + } else { + s0+=12.0; + s1+=10.0; + } + } else { + s0+=210.0; + } + } else { + if(i16<668.859619140625){ + if(i25<-0.7314679026603699){ + s1+=1.0; + } else { + s0+=1.0; + } + } else { + if(i4<12.09832763671875){ + s0+=439.0; + s1+=5.0; + } else { + s0+=2086.0; + } + } + } +} +if(i29<192.5){ + if(i25<-1.1054859161376953){ + if(i19<-15.30230712890625){ + if(i2<1071.443115234375){ + s1+=68.0; + } else { + s0+=1.0; + } + } else { + if(i27<2.8426711559295654){ + s0+=139.0; + } else { + s0+=15.0; + s1+=6.0; + } + } + } else { + if(i4<1.840057373046875){ + if(i8<111.58997344970703){ + s0+=1.0; + s1+=2838.0; + } else { + s0+=5.0; + s1+=458.0; + } + } else { + s0+=39.0; + } + } +} else { + if(i7<99.99610900878906){ + if(i25<-1.6993348598480225){ + s0+=102.0; + } else { + s1+=53.0; + } + } else { + if(i6<-11.647979736328125){ + if(i17<789.9202880859375){ + s1+=7.0; + } else { + s0+=11.0; + } + } else { + if(i1<855.0574951171875){ + s0+=124.0; + s1+=6.0; + } else { + s0+=2540.0; + s1+=2.0; + } + } + } +} +if(i6<0.909393310546875){ + if(i15<912.0){ + if(i20<-98.97653198242188){ + if(i18<-15.5758056640625){ + s0+=11.0; + } else { + s0+=15.0; + s1+=21.0; + } + } else { + if(i22<635.9423217773438){ + s0+=6.0; + s1+=3395.0; + } else { + s0+=10.0; + s1+=2.0; + } + } + } else { + s0+=154.0; + } +} else { + if(i16<599.182373046875){ + s1+=1.0; + } else { + if(i13<40.5){ + if(i1<869.5833740234375){ + s0+=3.0; + } else { + s1+=2.0; + } + } else { + if(i16<666.1788940429688){ + s0+=57.0; + s1+=4.0; + } else { + s0+=2729.0; + s1+=5.0; + } + } + } +} +if(i29<186.5){ + if(i6<0.981964111328125){ + if(i1<988.359375){ + if(i21<3.296112060546875){ + s0+=1.0; + s1+=3360.0; + } else { + s0+=2.0; + } + } else { + if(i25<-0.6972395181655884){ + s0+=6.0; + } else { + s1+=1.0; + } + } + } else { + if(i1<971.3304443359375){ + if(i19<-3.399566650390625){ + s1+=9.0; + } else { + s0+=7.0; + } + } else { + s0+=183.0; + } + } +} else { + if(i16<681.390625){ + if(i5<247.5599365234375){ + s1+=32.0; + } else { + s0+=3.0; + } + } else { + if(i25<-1.196779489517212){ + if(i10<-0.2944759130477905){ + s0+=2739.0; + s1+=6.0; + } else { + s0+=5.0; + s1+=3.0; + } + } else { + if(i23<385.13641357421875){ + s1+=42.0; + } else { + s0+=16.0; + } + } + } +} +if(i10<-0.8838262557983398){ + if(i16<641.564453125){ + if(i6<7.659454345703125){ + if(i1<955.1708984375){ + s1+=160.0; + } else { + s0+=5.0; + } + } else { + s0+=8.0; + } + } else { + if(i29<79.5){ + if(i9<7.358407974243164){ + s1+=18.0; + } else { + s0+=1.0; + } + } else { + if(i6<-10.2635498046875){ + s0+=13.0; + s1+=9.0; + } else { + s0+=2852.0; + s1+=13.0; + } + } + } +} else { + if(i22<553.6983642578125){ + if(i4<1.579742431640625){ + s1+=3211.0; + } else { + if(i8<147.41656494140625){ + s0+=8.0; + } else { + s1+=1.0; + } + } + } else { + if(i21<-11.65167236328125){ + s1+=6.0; + } else { + s0+=110.0; + } + } +} +if(i25<-1.2063809633255005){ + if(i28<90.5){ + if(i13<177.0){ + if(i19<-16.952484130859375){ + s1+=60.0; + } else { + s0+=11.0; + s1+=1.0; + } + } else { + if(i26<7.988311767578125){ + s1+=1.0; + } else { + s0+=49.0; + } + } + } else { + if(i4<-19.15875244140625){ + if(i28<127.0){ + s1+=5.0; + } else { + s0+=5.0; + } + } else { + if(i28<123.5){ + s0+=58.0; + s1+=6.0; + } else { + s0+=2853.0; + s1+=1.0; + } + } + } +} else { + if(i0<1001.0){ + if(i11<49.595882415771484){ + s1+=3291.0; + } else { + if(i19<-37.059967041015625){ + s1+=4.0; + } else { + s0+=7.0; + } + } + } else { + s0+=63.0; + } +} +if(i21<2.258758544921875){ + if(i14<244.0){ + if(i22<757.8148193359375){ + if(i17<961.583984375){ + s0+=2.0; + s1+=3433.0; + } else { + s0+=3.0; + s1+=18.0; + } + } else { + if(i26<54.92109298706055){ + s0+=18.0; + } else { + s0+=3.0; + s1+=4.0; + } + } + } else { + if(i29<159.0){ + if(i7<432.85516357421875){ + s0+=3.0; + s1+=5.0; + } else { + s0+=70.0; + s1+=1.0; + } + } else { + s0+=305.0; + } + } +} else { + if(i25<-0.8491137027740479){ + s0+=2522.0; + } else { + s1+=28.0; + } +} +if(i16<711.9161376953125){ + if(i1<957.154296875){ + if(i4<5.493560791015625){ + if(i29<207.5){ + s0+=1.0; + s1+=3360.0; + } else { + s0+=4.0; + s1+=12.0; + } + } else { + s0+=6.0; + } + } else { + if(i4<-7.676025390625){ + s1+=2.0; + } else { + s0+=126.0; + } + } +} else { + if(i19<6.153045654296875){ + if(i13<142.0){ + if(i23<554.4334716796875){ + s0+=8.0; + s1+=54.0; + } else { + s0+=14.0; + } + } else { + if(i27<1.4484200477600098){ + s0+=29.0; + s1+=2.0; + } else { + s0+=332.0; + } + } + } else { + s0+=2465.0; + } +} +if(i6<0.922210693359375){ + if(i22<467.6436462402344){ + if(i15<982.5){ + if(i1<984.8125){ + s0+=3.0; + s1+=3459.0; + } else { + s0+=6.0; + s1+=1.0; + } + } else { + s0+=13.0; + } + } else { + if(i15<661.0){ + if(i5<-223.22918701171875){ + s0+=2.0; + } else { + s0+=1.0; + s1+=7.0; + } + } else { + if(i28<148.5){ + s0+=3.0; + s1+=5.0; + } else { + s0+=181.0; + s1+=1.0; + } + } + } +} else { + if(i16<644.2191162109375){ + if(i2<1280.696533203125){ + s0+=22.0; + } else { + s1+=4.0; + } + } else { + if(i16<719.5187377929688){ + if(i19<-6.47015380859375){ + s1+=5.0; + } else { + s0+=139.0; + } + } else { + if(i27<7.091452121734619){ + s0+=2428.0; + } else { + s0+=133.0; + s1+=2.0; + } + } + } +} +if(i10<-0.8272192478179932){ + if(i4<-22.261138916015625){ + if(i16<741.0800170898438){ + if(i29<197.0){ + s1+=155.0; + } else { + s0+=1.0; + s1+=2.0; + } + } else { + s0+=6.0; + } + } else { + if(i15<667.5){ + if(i1<968.262451171875){ + s0+=3.0; + s1+=52.0; + } else { + s0+=83.0; + s1+=3.0; + } + } else { + if(i17<622.7734985351562){ + s1+=1.0; + } else { + s0+=2822.0; + s1+=8.0; + } + } + } +} else { + if(i21<3.540618896484375){ + if(i24<-20.058128356933594){ + if(i20<4.904449462890625){ + s0+=6.0; + s1+=2.0; + } else { + s1+=108.0; + } + } else { + if(i17<1001.6221923828125){ + s0+=2.0; + s1+=3068.0; + } else { + s0+=1.0; + } + } + } else { + s0+=92.0; + } +} +if(i6<0.823211669921875){ + if(i25<-2.4370980262756348){ + if(i10<-0.2458590269088745){ + if(i28<112.5){ + s0+=1.0; + s1+=1.0; + } else { + s0+=193.0; + } + } else { + if(i17<1004.002197265625){ + s1+=9.0; + } else { + s0+=3.0; + } + } + } else { + if(i0<988.5){ + if(i17<1136.443359375){ + s0+=1.0; + s1+=3381.0; + } else { + s0+=1.0; + } + } else { + if(i12<4.305671691894531){ + s1+=2.0; + } else { + s0+=5.0; + } + } + } +} else { + if(i1<972.38623046875){ + if(i19<0.636566162109375){ + if(i20<-174.37188720703125){ + s0+=3.0; + } else { + s1+=23.0; + } + } else { + s0+=294.0; + } + } else { + s0+=2498.0; + } +} +if(i29<189.5){ + if(i6<0.976470947265625){ + if(i3<-25.6268310546875){ + s0+=4.0; + } else { + if(i0<1017.0){ + s0+=2.0; + s1+=3348.0; + } else { + s0+=2.0; + } + } + } else { + if(i27<4.057900428771973){ + if(i29<182.5){ + s0+=161.0; + } else { + s0+=10.0; + s1+=1.0; + } + } else { + if(i1<995.8868408203125){ + s1+=9.0; + } else { + s0+=6.0; + } + } + } +} else { + if(i17<671.5384521484375){ + if(i0<1339.0){ + s1+=61.0; + } else { + s0+=2.0; + } + } else { + if(i17<699.6259765625){ + if(i13<256.0){ + s1+=7.0; + } else { + s0+=31.0; + } + } else { + if(i27<5.555728435516357){ + s0+=2570.0; + } else { + s0+=190.0; + s1+=11.0; + } + } + } +} +if(i25<-1.196779489517212){ + if(i21<-12.294647216796875){ + if(i12<0.7668428421020508){ + s0+=63.0; + } else { + if(i12<4.192630290985107){ + s1+=51.0; + } else { + s0+=3.0; + } + } + } else { + if(i25<-1.6865359544754028){ + if(i19<-17.0267333984375){ + s0+=14.0; + s1+=3.0; + } else { + s0+=2758.0; + } + } else { + if(i1<982.7333984375){ + s1+=2.0; + } else { + s0+=59.0; + } + } + } +} else { + if(i5<118.18060302734375){ + if(i13<243.0){ + if(i15<1073.5){ + s0+=6.0; + s1+=3385.0; + } else { + s0+=2.0; + } + } else { + s0+=24.0; + } + } else { + if(i6<-1.05340576171875){ + s1+=2.0; + } else { + s0+=43.0; + } + } +} +if(i14<217.5){ + if(i28<200.5){ + if(i1<961.2654418945312){ + if(i22<617.6793823242188){ + s0+=6.0; + s1+=3401.0; + } else { + s0+=14.0; + s1+=2.0; + } + } else { + s0+=16.0; + } + } else { + if(i12<0.7408931851387024){ + if(i29<235.5){ + s1+=3.0; + } else { + s0+=180.0; + } + } else { + if(i16<798.0407104492188){ + s0+=1.0; + s1+=35.0; + } else { + s0+=16.0; + s1+=2.0; + } + } + } +} else { + if(i25<-0.4655541777610779){ + if(i15<648.5){ + if(i14<256.5){ + s0+=1.0; + s1+=6.0; + } else { + s0+=40.0; + } + } else { + if(i27<7.091452121734619){ + s0+=2476.0; + } else { + s0+=165.0; + s1+=1.0; + } + } + } else { + if(i10<-4.542978763580322){ + s0+=20.0; + } else { + s1+=30.0; + } + } +} +if(i14<208.0){ + if(i22<602.5972900390625){ + if(i6<0.934967041015625){ + if(i11<37.728111267089844){ + s0+=3.0; + s1+=3360.0; + } else { + s0+=4.0; + s1+=8.0; + } + } else { + if(i19<-8.97833251953125){ + s1+=5.0; + } else { + s0+=21.0; + } + } + } else { + if(i27<8.927009582519531){ + s0+=182.0; + } else { + if(i1<879.1390380859375){ + s0+=6.0; + } else { + s1+=5.0; + } + } + } +} else { + if(i25<-0.47164323925971985){ + if(i25<-0.6874253749847412){ + if(i14<217.5){ + s0+=27.0; + s1+=2.0; + } else { + s0+=2713.0; + s1+=1.0; + } + } else { + if(i4<3.598846435546875){ + s1+=5.0; + } else { + s0+=25.0; + } + } + } else { + if(i13<246.0){ + if(i1<998.0028076171875){ + s1+=31.0; + } else { + s0+=3.0; + } + } else { + s0+=14.0; + } + } +} +if(i1<928.2596435546875){ + if(i4<1.39776611328125){ + if(i16<813.5948486328125){ + if(i22<496.07891845703125){ + s0+=2.0; + s1+=3484.0; + } else { + s0+=10.0; + s1+=9.0; + } + } else { + if(i21<-14.241607666015625){ + s1+=2.0; + } else { + s0+=33.0; + } + } + } else { + if(i28<127.5){ + if(i4<7.683563232421875){ + s1+=9.0; + } else { + s0+=1.0; + } + } else { + if(i28<165.5){ + s0+=2.0; + s1+=1.0; + } else { + s0+=207.0; + } + } + } +} else { + if(i1<960.4832763671875){ + if(i20<30.965240478515625){ + if(i25<-1.6691797971725464){ + s0+=13.0; + s1+=3.0; + } else { + s1+=14.0; + } + } else { + s0+=40.0; + } + } else { + if(i13<38.0){ + if(i11<152.91021728515625){ + s0+=12.0; + } else { + s1+=1.0; + } + } else { + if(i19<-17.868743896484375){ + s0+=83.0; + s1+=1.0; + } else { + s0+=2488.0; + } + } + } +} +if(i6<0.909393310546875){ + if(i21<3.3363037109375){ + if(i25<-4.64011287689209){ + s0+=12.0; + } else { + if(i16<786.4930419921875){ + s0+=10.0; + s1+=3398.0; + } else { + s0+=5.0; + s1+=5.0; + } + } + } else { + if(i25<-1.4226030111312866){ + s0+=166.0; + } else { + s1+=1.0; + } + } +} else { + if(i19<-11.880523681640625){ + if(i0<962.5){ + if(i8<161.05316162109375){ + s0+=3.0; + } else { + s1+=8.0; + } + } else { + s0+=107.0; + } + } else { + if(i21<-5.11297607421875){ + if(i23<141.20474243164062){ + s1+=1.0; + } else { + s0+=44.0; + } + } else { + s0+=2655.0; + } + } +} +if(i4<1.5306396484375){ + if(i15<912.5){ + if(i22<614.1182861328125){ + if(i22<485.36663818359375){ + s0+=3.0; + s1+=3446.0; + } else { + s0+=6.0; + s1+=8.0; + } + } else { + s0+=31.0; + } + } else { + s0+=159.0; + } +} else { + if(i16<599.182373046875){ + s1+=2.0; + } else { + if(i14<197.5){ + if(i15<717.0){ + s0+=12.0; + s1+=10.0; + } else { + s0+=136.0; + } + } else { + s0+=2602.0; + } + } +} +if(i15<702.5){ + if(i10<-3.1189236640930176){ + if(i4<-7.1387939453125){ + if(i22<423.3913879394531){ + s1+=11.0; + } else { + s0+=1.0; + } + } else { + if(i20<-86.67312622070312){ + s0+=28.0; + s1+=1.0; + } else { + s0+=140.0; + } + } + } else { + if(i25<-2.8936331272125244){ + if(i1<840.75927734375){ + s0+=19.0; + } else { + s1+=2.0; + } + } else { + if(i22<551.5462036132812){ + s0+=2.0; + s1+=3303.0; + } else { + s0+=3.0; + } + } + } +} else { + if(i10<-0.36595413088798523){ + if(i12<11.840456008911133){ + if(i17<638.637939453125){ + s1+=2.0; + } else { + s0+=2807.0; + s1+=6.0; + } + } else { + s1+=2.0; + } + } else { + if(i25<-4.363328456878662){ + s0+=7.0; + } else { + s1+=81.0; + } + } +} +if(i4<1.518096923828125){ + if(i19<6.318023681640625){ + if(i15<891.0){ + if(i22<618.772705078125){ + s0+=10.0; + s1+=3355.0; + } else { + s0+=13.0; + s1+=4.0; + } + } else { + s0+=22.0; + } + } else { + s0+=186.0; + } +} else { + if(i29<51.5){ + s1+=2.0; + } else { + if(i17<608.3079833984375){ + s1+=1.0; + } else { + if(i21<-9.201629638671875){ + s0+=107.0; + s1+=5.0; + } else { + s0+=2709.0; + s1+=1.0; + } + } + } +} +if(i25<-1.1870014667510986){ + if(i10<-0.17203190922737122){ + if(i19<-11.880523681640625){ + if(i14<222.0){ + s0+=5.0; + s1+=19.0; + } else { + s0+=107.0; + } + } else { + s0+=2721.0; + } + } else { + if(i16<1298.908447265625){ + s1+=51.0; + } else { + s0+=3.0; + } + } +} else { + if(i13<227.5){ + if(i10<-5.698998928070068){ + if(i25<0.9272040128707886){ + s0+=6.0; + } else { + s1+=5.0; + } + } else { + s1+=3437.0; + } + } else { + if(i22<22.169384002685547){ + s1+=1.0; + } else { + s0+=60.0; + } + } +} +if(i1<907.448974609375){ + if(i28<200.5){ + if(i29<255.0){ + if(i18<-10.57757568359375){ + s0+=4.0; + s1+=1.0; + } else { + s0+=4.0; + s1+=3451.0; + } + } else { + s0+=5.0; + } + } else { + if(i16<770.691162109375){ + if(i21<3.778076171875){ + s1+=30.0; + } else { + s0+=10.0; + } + } else { + if(i17<723.7325439453125){ + s1+=3.0; + } else { + s0+=202.0; + } + } + } +} else { + if(i1<955.386962890625){ + if(i15<790.0){ + if(i26<41.48927307128906){ + s1+=36.0; + } else { + s0+=1.0; + } + } else { + s0+=58.0; + } + } else { + if(i25<-0.5506373643875122){ + s0+=2583.0; + } else { + if(i8<461.0244445800781){ + s0+=24.0; + } else { + s1+=3.0; + } + } + } +} +if(i6<0.852752685546875){ + if(i16<838.3966674804688){ + if(i21<3.854461669921875){ + if(i24<20.02229881286621){ + s0+=7.0; + s1+=3464.0; + } else { + s0+=6.0; + } + } else { + s0+=8.0; + } + } else { + s0+=168.0; + } +} else { + if(i29<77.5){ + if(i4<12.08544921875){ + s1+=6.0; + } else { + s0+=8.0; + } + } else { + if(i8<4.39520788192749){ + if(i13<210.0){ + s1+=1.0; + } else { + s0+=1.0; + } + } else { + if(i4<4.08074951171875){ + s0+=159.0; + s1+=5.0; + } else { + s0+=2581.0; + s1+=1.0; + } + } + } +} +if(i15<713.5){ + if(i1<970.6661376953125){ + if(i22<617.6793823242188){ + if(i2<791.4635620117188){ + s0+=1.0; + } else { + s0+=4.0; + s1+=3339.0; + } + } else { + s0+=13.0; + } + } else { + if(i13<124.5){ + if(i4<-6.80194091796875){ + s1+=2.0; + } else { + s0+=9.0; + } + } else { + s0+=158.0; + } + } +} else { + if(i17<693.7362060546875){ + if(i1<1053.639404296875){ + s1+=75.0; + } else { + s0+=8.0; + } + } else { + if(i10<-0.10263223201036453){ + if(i25<2.265066623687744){ + s0+=2775.0; + s1+=9.0; + } else { + s1+=2.0; + } + } else { + if(i28<418.0){ + s1+=19.0; + } else { + s0+=1.0; + } + } + } +} +if(i13<186.5){ + if(i29<280.0){ + if(i4<1.51617431640625){ + if(i7<1137.3377685546875){ + s0+=9.0; + s1+=3424.0; + } else { + s0+=5.0; + } + } else { + if(i27<2.890385627746582){ + s0+=32.0; + s1+=3.0; + } else { + s0+=2.0; + s1+=9.0; + } + } + } else { + if(i6<-10.499664306640625){ + if(i27<7.129543781280518){ + s1+=7.0; + } else { + s0+=5.0; + } + } else { + if(i7<41.15748977661133){ + s0+=6.0; + s1+=2.0; + } else { + s0+=408.0; + s1+=5.0; + } + } + } +} else { + if(i17<639.0739135742188){ + s1+=42.0; + } else { + if(i1<935.8043212890625){ + if(i16<709.72607421875){ + s1+=3.0; + } else { + s0+=53.0; + } + } else { + s0+=2400.0; + } + } +} +if(i15<715.5){ + if(i10<-3.1189236640930176){ + if(i29<56.0){ + s1+=17.0; + } else { + if(i12<10.458244323730469){ + s0+=171.0; + } else { + s1+=3.0; + } + } + } else { + if(i21<3.038848876953125){ + if(i16<754.8613891601562){ + s0+=2.0; + s1+=3397.0; + } else { + s0+=4.0; + } + } else { + s0+=29.0; + } + } +} else { + if(i10<-0.36446741223335266){ + if(i25<2.4726126194000244){ + if(i14<99.0){ + s0+=15.0; + s1+=2.0; + } else { + s0+=2694.0; + s1+=4.0; + } + } else { + s1+=2.0; + } + } else { + if(i17<1026.2850341796875){ + if(i2<798.831298828125){ + s0+=3.0; + } else { + s1+=66.0; + } + } else { + s0+=6.0; + } + } +} +if(i16<711.9161376953125){ + if(i6<0.981964111328125){ + if(i25<-2.0795819759368896){ + if(i14<139.0){ + s0+=2.0; + s1+=15.0; + } else { + s0+=7.0; + s1+=1.0; + } + } else { + if(i0<990.5){ + s1+=3382.0; + } else { + s0+=4.0; + } + } + } else { + if(i6<4.651824951171875){ + if(i17<741.8134765625){ + s0+=14.0; + s1+=1.0; + } else { + s1+=3.0; + } + } else { + s0+=130.0; + } + } +} else { + if(i6<-0.8919677734375){ + if(i25<-4.547443389892578){ + s0+=99.0; + } else { + if(i0<901.5){ + s0+=8.0; + s1+=73.0; + } else { + s0+=3.0; + } + } + } else { + if(i16<719.9566650390625){ + if(i10<-0.690775990486145){ + s0+=23.0; + s1+=1.0; + } else { + s1+=1.0; + } + } else { + if(i19<-18.770263671875){ + s0+=85.0; + s1+=3.0; + } else { + s0+=2560.0; + } + } + } +} +if(i16<724.0958251953125){ + if(i14<275.0){ + if(i2<1007.2860107421875){ + if(i19<6.233306884765625){ + s0+=1.0; + s1+=3255.0; + } else { + s0+=7.0; + } + } else { + if(i8<206.52122497558594){ + s0+=15.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=123.0; + } + } + } else { + s0+=133.0; + } +} else { + if(i17<694.1767578125){ + if(i4<13.327667236328125){ + s1+=29.0; + } else { + s0+=1.0; + } + } else { + if(i4<-14.742431640625){ + if(i19<-28.413238525390625){ + s1+=7.0; + } else { + s0+=29.0; + s1+=2.0; + } + } else { + if(i10<-0.0571046844124794){ + s0+=2802.0; + s1+=5.0; + } else { + s1+=4.0; + } + } + } +} +if(i16<724.0958251953125){ + if(i13<236.5){ + if(i11<42.04130935668945){ + if(i5<-149.09103393554688){ + s0+=3.0; + } else { + s0+=9.0; + s1+=3354.0; + } + } else { + if(i25<0.9658440351486206){ + s0+=26.0; + } else { + s1+=9.0; + } + } + } else { + s0+=117.0; + } +} else { + if(i25<-1.058555245399475){ + if(i1<907.0667114257812){ + if(i27<8.77970027923584){ + s0+=242.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=6.0; + } + } else { + s0+=2601.0; + } + } else { + if(i2<908.2645263671875){ + s1+=31.0; + } else { + s0+=15.0; + } + } +} +if(i25<-1.1855907440185547){ + if(i19<-18.000823974609375){ + if(i1<938.1180419921875){ + if(i12<3.5754427909851074){ + s1+=55.0; + } else { + s0+=5.0; + } + } else { + s0+=80.0; + } + } else { + if(i29<68.0){ + if(i4<12.08544921875){ + s1+=2.0; + } else { + s0+=3.0; + } + } else { + if(i19<-14.887542724609375){ + s0+=11.0; + s1+=2.0; + } else { + s0+=2735.0; + s1+=1.0; + } + } + } +} else { + if(i3<10.549652099609375){ + if(i15<960.5){ + if(i14<259.0){ + s0+=5.0; + s1+=3451.0; + } else { + s0+=23.0; + s1+=1.0; + } + } else { + s0+=12.0; + } + } else { + if(i6<-1.05340576171875){ + s1+=1.0; + } else { + s0+=28.0; + } + } +} +if(i6<0.84954833984375){ + if(i25<-2.6722426414489746){ + if(i10<-0.2944759130477905){ + s0+=175.0; + } else { + if(i19<-0.685394287109375){ + s1+=7.0; + } else { + s0+=3.0; + } + } + } else { + if(i5<-404.02850341796875){ + s0+=3.0; + } else { + if(i24<23.29443359375){ + s0+=2.0; + s1+=3426.0; + } else { + s0+=2.0; + } + } + } +} else { + if(i16<604.9288330078125){ + s1+=5.0; + } else { + if(i5<-503.0101013183594){ + if(i19<-34.6298828125){ + s1+=3.0; + } else { + s0+=11.0; + } + } else { + if(i15<716.0){ + s0+=160.0; + s1+=8.0; + } else { + s0+=2608.0; + s1+=2.0; + } + } + } +} +if(i1<907.2785034179688){ + if(i25<-3.629166603088379){ + if(i28<141.0){ + s1+=4.0; + } else { + s0+=247.0; + } + } else { + if(i24<23.29443359375){ + if(i21<5.170440673828125){ + s0+=2.0; + s1+=3415.0; + } else { + s0+=2.0; + } + } else { + s0+=4.0; + } + } +} else { + if(i1<928.8568115234375){ + if(i16<714.9046630859375){ + s1+=23.0; + } else { + if(i19<-15.888427734375){ + s1+=1.0; + } else { + s0+=38.0; + } + } + } else { + if(i14<197.5){ + if(i0<909.5){ + s0+=17.0; + } else { + s0+=3.0; + s1+=4.0; + } + } else { + if(i4<-15.906982421875){ + s0+=9.0; + s1+=2.0; + } else { + s0+=2644.0; + } + } + } +} +if(i16<698.9207153320312){ + if(i0<964.0){ + if(i5<-134.28695678710938){ + if(i27<7.108277797698975){ + s0+=10.0; + } else { + s1+=6.0; + } + } else { + if(i20<-150.2122802734375){ + s0+=3.0; + } else { + s0+=2.0; + s1+=3290.0; + } + } + } else { + if(i6<-2.71868896484375){ + s1+=4.0; + } else { + s0+=126.0; + } + } +} else { + if(i1<907.0667114257812){ + if(i4<-1.41766357421875){ + if(i22<887.1619873046875){ + s1+=79.0; + } else { + s0+=12.0; + s1+=1.0; + } + } else { + s0+=249.0; + } + } else { + if(i10<-1.31955885887146){ + if(i0<964.5){ + s0+=90.0; + s1+=1.0; + } else { + s0+=2506.0; + } + } else { + if(i17<1044.080322265625){ + s1+=2.0; + } else { + s0+=34.0; + } + } + } +} +if(i6<0.916717529296875){ + if(i16<793.1370239257812){ + if(i1<968.262451171875){ + if(i29<202.5){ + s0+=2.0; + s1+=3357.0; + } else { + s0+=10.0; + s1+=57.0; + } + } else { + if(i10<-3.768409013748169){ + s0+=8.0; + } else { + s1+=1.0; + } + } + } else { + if(i19<-26.8280029296875){ + s1+=3.0; + } else { + if(i25<-1.5426547527313232){ + s0+=190.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i25<1.6598628759384155){ + if(i14<219.5){ + if(i0<958.5){ + s0+=203.0; + s1+=5.0; + } else { + s1+=2.0; + } + } else { + s0+=2575.0; + } + } else { + s1+=1.0; + } +} +if(i21<2.134735107421875){ + if(i1<957.0352783203125){ + if(i17<1099.473388671875){ + if(i22<621.1044921875){ + s0+=1.0; + s1+=3359.0; + } else { + s0+=11.0; + s1+=8.0; + } + } else { + s0+=7.0; + } + } else { + if(i4<-10.566314697265625){ + s1+=2.0; + } else { + if(i9<-2.621504783630371){ + s0+=386.0; + } else { + s0+=50.0; + s1+=1.0; + } + } + } +} else { + if(i25<-0.8491137027740479){ + s0+=2571.0; + } else { + s1+=19.0; + } +} +if(i6<0.916717529296875){ + if(i29<371.0){ + if(i25<-2.0795819759368896){ + if(i1<812.821044921875){ + s0+=15.0; + } else { + s0+=11.0; + s1+=22.0; + } + } else { + if(i0<990.5){ + s0+=3.0; + s1+=3481.0; + } else { + s0+=4.0; + } + } + } else { + if(i17<699.80859375){ + s1+=1.0; + } else { + s0+=172.0; + } + } +} else { + if(i25<1.6598628759384155){ + if(i19<-11.880523681640625){ + if(i1<954.9705810546875){ + s0+=2.0; + s1+=10.0; + } else { + s0+=114.0; + s1+=1.0; + } + } else { + if(i21<-5.11297607421875){ + s0+=32.0; + s1+=1.0; + } else { + s0+=2544.0; + } + } + } else { + s1+=2.0; + } +} +if(i0<931.5){ + if(i25<-2.4413838386535645){ + if(i10<-0.30931007862091064){ + if(i19<-17.294189453125){ + s0+=9.0; + s1+=4.0; + } else { + s0+=275.0; + } + } else { + if(i25<-4.881137847900391){ + s0+=3.0; + } else { + s1+=8.0; + } + } + } else { + if(i1<982.4171142578125){ + if(i19<10.90167236328125){ + s0+=3.0; + s1+=3414.0; + } else { + s0+=1.0; + } + } else { + s0+=8.0; + } + } +} else { + if(i14<243.5){ + if(i10<-2.807278633117676){ + if(i19<-41.560272216796875){ + s1+=3.0; + } else { + s0+=22.0; + } + } else { + s1+=30.0; + } + } else { + if(i4<-11.149261474609375){ + if(i28<225.0){ + s1+=4.0; + } else { + s0+=17.0; + } + } else { + if(i16<640.6590576171875){ + s0+=8.0; + s1+=1.0; + } else { + s0+=2605.0; + } + } + } +} +if(i15<717.5){ + if(i7<323.150634765625){ + if(i22<617.6793823242188){ + if(i28<209.5){ + s0+=3.0; + s1+=3339.0; + } else { + s0+=1.0; + } + } else { + s0+=9.0; + } + } else { + if(i19<-4.51605224609375){ + if(i14<221.0){ + s0+=2.0; + s1+=19.0; + } else { + s0+=3.0; + } + } else { + if(i6<-2.13720703125){ + s1+=8.0; + } else { + s0+=179.0; + } + } + } +} else { + if(i7<95.35913848876953){ + if(i22<438.8652648925781){ + if(i6<0.567779541015625){ + s1+=58.0; + } else { + s0+=12.0; + } + } else { + if(i29<259.5){ + s1+=3.0; + } else { + s0+=81.0; + } + } + } else { + if(i0<928.0){ + if(i10<-0.4437369108200073){ + s0+=197.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=20.0; + } + } else { + if(i21<-10.65985107421875){ + s0+=92.0; + s1+=2.0; + } else { + s0+=2385.0; + } + } + } +} +if(i4<1.518096923828125){ + if(i25<-2.4370980262756348){ + if(i19<-24.1478271484375){ + if(i10<-0.6683096289634705){ + s0+=6.0; + } else { + s1+=14.0; + } + } else { + s0+=197.0; + } + } else { + if(i22<684.3656005859375){ + if(i1<986.6383056640625){ + s1+=3422.0; + } else { + s0+=6.0; + s1+=1.0; + } + } else { + s0+=6.0; + } + } +} else { + if(i8<3.184297561645508){ + if(i25<-3.1250081062316895){ + s0+=1.0; + } else { + s1+=2.0; + } + } else { + if(i1<972.38623046875){ + if(i29<264.0){ + s0+=11.0; + s1+=14.0; + } else { + s0+=276.0; + } + } else { + s0+=2459.0; + } + } +} +if(i6<0.909393310546875){ + if(i17<991.9431762695312){ + if(i13<225.0){ + if(i2<793.0164794921875){ + s0+=4.0; + } else { + s0+=29.0; + s1+=3451.0; + } + } else { + s0+=17.0; + } + } else { + if(i29<113.0){ + s1+=4.0; + } else { + s0+=142.0; + } + } +} else { + if(i0<964.5){ + if(i21<-3.335479736328125){ + if(i16<915.004150390625){ + s1+=15.0; + } else { + s0+=6.0; + } + } else { + s0+=297.0; + } + } else { + s0+=2450.0; + } +} +if(i15<714.5){ + if(i0<988.5){ + if(i1<968.262451171875){ + if(i21<3.654998779296875){ + s0+=4.0; + s1+=3400.0; + } else { + s0+=11.0; + } + } else { + if(i23<108.61808776855469){ + s0+=14.0; + } else { + s0+=2.0; + s1+=4.0; + } + } + } else { + s0+=164.0; + } +} else { + if(i7<115.19265747070312){ + if(i19<7.33209228515625){ + if(i16<811.39306640625){ + s0+=2.0; + s1+=79.0; + } else { + s0+=16.0; + } + } else { + s0+=136.0; + } + } else { + if(i10<-0.26651614904403687){ + if(i28<158.0){ + s0+=116.0; + s1+=4.0; + } else { + s0+=2452.0; + s1+=1.0; + } + } else { + if(i8<281.7489013671875){ + s1+=9.0; + } else { + s0+=1.0; + } + } + } +} +if(i4<1.5306396484375){ + if(i29<273.5){ + if(i14<269.0){ + if(i21<10.320648193359375){ + s0+=3.0; + s1+=3461.0; + } else { + s0+=2.0; + } + } else { + s0+=7.0; + } + } else { + if(i17<727.5623779296875){ + s1+=14.0; + } else { + if(i10<0.20269209146499634){ + s0+=175.0; + } else { + s1+=2.0; + } + } + } +} else { + if(i28<36.5){ + if(i6<5.55743408203125){ + s1+=7.0; + } else { + s0+=25.0; + } + } else { + if(i19<-8.49951171875){ + if(i0<975.0){ + s0+=4.0; + s1+=8.0; + } else { + s0+=155.0; + } + } else { + if(i14<91.0){ + s0+=14.0; + s1+=1.0; + } else { + s0+=2537.0; + } + } + } +} +if(i29<188.0){ + if(i10<-3.0695531368255615){ + if(i1<970.62255859375){ + if(i4<7.924774169921875){ + s1+=30.0; + } else { + s0+=3.0; + } + } else { + s0+=191.0; + } + } else { + if(i19<4.955718994140625){ + if(i0<990.5){ + s1+=3297.0; + } else { + s0+=5.0; + s1+=1.0; + } + } else { + s0+=10.0; + } + } +} else { + if(i7<122.65484619140625){ + if(i6<-0.640472412109375){ + if(i16<1261.9656982421875){ + s1+=49.0; + } else { + s0+=1.0; + } + } else { + if(i23<7.594352722167969){ + s1+=5.0; + } else { + s0+=180.0; + } + } + } else { + if(i16<671.8931884765625){ + if(i26<3.7573843002319336){ + s1+=7.0; + } else { + s0+=4.0; + } + } else { + if(i28<138.5){ + s0+=64.0; + s1+=3.0; + } else { + s0+=2563.0; + s1+=2.0; + } + } + } +} +if(i6<0.899871826171875){ + if(i21<3.441162109375){ + if(i25<-2.458609104156494){ + if(i14<107.0){ + s0+=1.0; + s1+=5.0; + } else { + s0+=36.0; + s1+=2.0; + } + } else { + if(i16<906.067138671875){ + s0+=7.0; + s1+=3434.0; + } else { + s0+=1.0; + } + } + } else { + s0+=159.0; + } +} else { + if(i14<217.5){ + if(i25<-1.9470564126968384){ + if(i28<127.5){ + s0+=9.0; + s1+=7.0; + } else { + s0+=201.0; + } + } else { + if(i12<1.4338502883911133){ + s1+=6.0; + } else { + s0+=2.0; + } + } + } else { + s0+=2545.0; + } +} +if(i22<213.14727783203125){ + if(i1<957.0352783203125){ + if(i29<394.5){ + s1+=3248.0; + } else { + s0+=2.0; + } + } else { + if(i6<-4.895233154296875){ + s1+=3.0; + } else { + s0+=211.0; + } + } +} else { + if(i10<-0.3458251953125){ + if(i6<-18.7227783203125){ + s1+=3.0; + } else { + if(i10<-0.5270470380783081){ + s0+=2708.0; + s1+=4.0; + } else { + s0+=42.0; + s1+=13.0; + } + } + } else { + if(i24<-101.93081665039062){ + s0+=2.0; + } else { + if(i26<128.45677185058594){ + s0+=2.0; + s1+=174.0; + } else { + s0+=3.0; + } + } + } +} +if(i0<931.5){ + if(i4<1.505157470703125){ + if(i29<380.5){ + if(i21<3.854461669921875){ + s0+=13.0; + s1+=3417.0; + } else { + s0+=18.0; + } + } else { + s0+=29.0; + } + } else { + if(i15<717.0){ + if(i16<644.7153930664062){ + s1+=5.0; + } else { + s0+=18.0; + s1+=7.0; + } + } else { + s0+=232.0; + } + } +} else { + if(i25<-0.47164323925971985){ + if(i29<95.5){ + if(i1<1035.33642578125){ + s1+=8.0; + } else { + s0+=15.0; + } + } else { + if(i16<719.8322143554688){ + s0+=125.0; + s1+=6.0; + } else { + s0+=2478.0; + } + } + } else { + if(i14<259.0){ + s1+=31.0; + } else { + s0+=13.0; + } + } +} +if(i14<219.5){ + if(i19<5.73236083984375){ + if(i29<313.0){ + if(i3<-11.74029541015625){ + s0+=10.0; + s1+=5.0; + } else { + s0+=3.0; + s1+=3391.0; + } + } else { + if(i23<203.78778076171875){ + s1+=3.0; + } else { + s0+=9.0; + } + } + } else { + s0+=220.0; + } +} else { + if(i16<626.322998046875){ + s1+=11.0; + } else { + if(i6<-9.04876708984375){ + if(i14<285.0){ + s1+=11.0; + } else { + s0+=9.0; + } + } else { + if(i29<138.5){ + s0+=73.0; + s1+=6.0; + } else { + s0+=2664.0; + } + } + } +} +if(i15<713.5){ + if(i4<1.531890869140625){ + if(i20<-147.69207763671875){ + if(i6<-5.92559814453125){ + s0+=3.0; + s1+=2.0; + } else { + s0+=10.0; + } + } else { + if(i11<48.300086975097656){ + s0+=5.0; + s1+=3350.0; + } else { + s0+=4.0; + s1+=3.0; + } + } + } else { + if(i27<3.7598536014556885){ + if(i28<18.5){ + s1+=1.0; + } else { + s0+=166.0; + s1+=1.0; + } + } else { + if(i0<1139.5){ + s1+=9.0; + } else { + s0+=2.0; + } + } + } +} else { + if(i25<-1.196779489517212){ + if(i27<6.308900356292725){ + s0+=2575.0; + } else { + if(i15<783.0){ + s0+=6.0; + s1+=12.0; + } else { + s0+=162.0; + s1+=2.0; + } + } + } else { + if(i4<5.51629638671875){ + s1+=71.0; + } else { + s0+=31.0; + } + } +} +if(i4<1.533966064453125){ + if(i29<273.5){ + if(i21<3.441162109375){ + if(i7<640.3209228515625){ + s0+=2.0; + s1+=3411.0; + } else { + s0+=10.0; + s1+=3.0; + } + } else { + s0+=10.0; + } + } else { + if(i7<88.28086853027344){ + if(i19<9.76513671875){ + s1+=9.0; + } else { + s0+=22.0; + } + } else { + if(i25<-1.266944408416748){ + s0+=142.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i21<-8.8021240234375){ + if(i15<731.5){ + if(i11<18.95026397705078){ + s0+=1.0; + } else { + s1+=11.0; + } + } else { + if(i6<3.348297119140625){ + s1+=1.0; + } else { + s0+=89.0; + } + } + } else { + if(i10<-0.300218403339386){ + if(i28<38.5){ + s0+=19.0; + s1+=1.0; + } else { + s0+=2681.0; + } + } else { + s1+=2.0; + } + } +} +if(i4<1.55865478515625){ + if(i22<463.66705322265625){ + if(i11<33.643821716308594){ + if(i14<278.0){ + s0+=2.0; + s1+=3468.0; + } else { + s0+=10.0; + } + } else { + if(i25<-0.2853855788707733){ + s0+=11.0; + s1+=1.0; + } else { + s1+=9.0; + } + } + } else { + if(i28<142.5){ + if(i17<933.893310546875){ + s0+=1.0; + s1+=14.0; + } else { + s0+=4.0; + } + } else { + if(i25<-1.4142218828201294){ + s0+=152.0; + s1+=1.0; + } else { + s1+=2.0; + } + } + } +} else { + if(i17<608.3079833984375){ + s1+=2.0; + } else { + if(i14<217.5){ + if(i28<160.0){ + s0+=21.0; + s1+=6.0; + } else { + s0+=184.0; + } + } else { + s0+=2527.0; + } + } +} +if(i0<927.5){ + if(i25<-2.840043544769287){ + if(i2<945.0623779296875){ + s0+=227.0; + } else { + if(i14<151.5){ + s0+=5.0; + s1+=14.0; + } else { + s0+=20.0; + } + } + } else { + if(i1<928.4437255859375){ + if(i21<3.4642333984375){ + s0+=1.0; + s1+=3354.0; + } else { + s0+=3.0; + } + } else { + if(i7<407.36541748046875){ + s1+=1.0; + } else { + s0+=15.0; + } + } + } +} else { + if(i14<236.5){ + if(i25<-1.5159202814102173){ + if(i21<-6.29150390625){ + s1+=10.0; + } else { + s0+=26.0; + } + } else { + s1+=40.0; + } + } else { + if(i17<695.1563720703125){ + if(i13<169.5){ + s0+=1.0; + s1+=9.0; + } else { + s0+=107.0; + s1+=2.0; + } + } else { + s0+=2580.0; + } + } +} +if(i15<704.5){ + if(i7<424.26898193359375){ + if(i4<1.62841796875){ + if(i26<38.48716735839844){ + s0+=1.0; + s1+=3233.0; + } else { + s0+=7.0; + s1+=9.0; + } + } else { + if(i29<146.0){ + s0+=2.0; + s1+=3.0; + } else { + s0+=18.0; + } + } + } else { + if(i4<-7.1387939453125){ + s1+=7.0; + } else { + if(i25<1.528954267501831){ + s0+=155.0; + s1+=1.0; + } else { + s1+=1.0; + } + } + } +} else { + if(i25<-1.2110532522201538){ + if(i10<0.2823542058467865){ + if(i16<723.9259033203125){ + s0+=28.0; + s1+=8.0; + } else { + s0+=2813.0; + s1+=6.0; + } + } else { + s1+=8.0; + } + } else { + if(i4<1.7584228515625){ + s1+=96.0; + } else { + if(i13<170.5){ + s1+=1.0; + } else { + s0+=18.0; + } + } + } +} +if(i15<716.5){ + if(i1<975.7347412109375){ + if(i25<-3.3511548042297363){ + s0+=13.0; + } else { + if(i18<-10.39862060546875){ + s0+=4.0; + s1+=6.0; + } else { + s0+=3.0; + s1+=3366.0; + } + } + } else { + if(i1<1005.616943359375){ + if(i8<357.10888671875){ + s0+=8.0; + } else { + s1+=1.0; + } + } else { + s0+=151.0; + } + } +} else { + if(i16<727.417724609375){ + if(i13<282.5){ + s1+=54.0; + } else { + s0+=21.0; + } + } else { + if(i1<865.0994262695312){ + if(i17<720.5980834960938){ + s1+=33.0; + } else { + s0+=191.0; + s1+=2.0; + } + } else { + if(i19<-17.577362060546875){ + s0+=92.0; + s1+=5.0; + } else { + s0+=2465.0; + } + } + } +} +if(i29<192.5){ + if(i6<1.5059814453125){ + if(i13<243.5){ + if(i20<-137.24807739257812){ + s0+=8.0; + } else { + s0+=4.0; + s1+=3325.0; + } + } else { + s0+=3.0; + } + } else { + if(i19<-7.05462646484375){ + if(i14<229.5){ + s1+=11.0; + } else { + s0+=8.0; + } + } else { + s0+=184.0; + } + } +} else { + if(i4<-1.45263671875){ + if(i10<-0.4149424433708191){ + if(i25<-1.1100586652755737){ + s0+=105.0; + } else { + s1+=1.0; + } + } else { + if(i19<12.056060791015625){ + s1+=64.0; + } else { + s0+=3.0; + } + } + } else { + if(i17<628.0614013671875){ + s1+=7.0; + } else { + if(i16<796.1136474609375){ + s0+=196.0; + s1+=2.0; + } else { + s0+=2494.0; + } + } + } +} +if(i21<1.6680908203125){ + if(i1<957.154296875){ + if(i16<798.0407104492188){ + if(i26<34.54848098754883){ + s1+=3380.0; + } else { + s0+=4.0; + s1+=14.0; + } + } else { + if(i4<-13.875274658203125){ + s0+=12.0; + } else { + s0+=6.0; + s1+=3.0; + } + } + } else { + if(i4<-14.8583984375){ + s1+=3.0; + } else { + if(i1<980.3540649414062){ + s0+=11.0; + s1+=1.0; + } else { + s0+=364.0; + } + } + } +} else { + if(i10<-0.37416142225265503){ + s0+=2573.0; + } else { + if(i23<70.02576446533203){ + s1+=38.0; + } else { + s0+=6.0; + } + } +} +if(i16<720.560302734375){ + if(i14<258.0){ + if(i11<40.548744201660156){ + if(i21<3.441162109375){ + s0+=2.0; + s1+=3374.0; + } else { + s0+=6.0; + } + } else { + if(i29<56.0){ + s1+=6.0; + } else { + s0+=13.0; + } + } + } else { + if(i10<-2.730616569519043){ + s0+=128.0; + } else { + s1+=2.0; + } + } +} else { + if(i1<844.298583984375){ + if(i6<-1.216796875){ + if(i22<699.816650390625){ + s1+=53.0; + } else { + s0+=2.0; + } + } else { + s0+=160.0; + } + } else { + if(i4<-12.256256103515625){ + if(i12<2.7855796813964844){ + s1+=6.0; + } else { + s0+=25.0; + } + } else { + if(i29<262.5){ + s0+=211.0; + s1+=6.0; + } else { + s0+=2421.0; + } + } + } +} +if(i28<143.5){ + if(i7<353.3810119628906){ + if(i4<1.850677490234375){ + if(i25<-2.458609104156494){ + s0+=1.0; + s1+=7.0; + } else { + s1+=3242.0; + } + } else { + s0+=21.0; + } + } else { + if(i10<-2.6133198738098145){ + if(i19<-48.861328125){ + s1+=8.0; + } else { + s0+=197.0; + s1+=2.0; + } + } else { + if(i21<1.399871826171875){ + s0+=2.0; + s1+=15.0; + } else { + s0+=6.0; + } + } + } +} else { + if(i28<202.5){ + if(i25<-1.2063809633255005){ + if(i27<7.06577205657959){ + s0+=190.0; + } else { + s0+=19.0; + s1+=5.0; + } + } else { + if(i2<1055.7596435546875){ + s1+=128.0; + } else { + s0+=8.0; + s1+=1.0; + } + } + } else { + if(i13<76.5){ + if(i19<12.360626220703125){ + s0+=3.0; + s1+=23.0; + } else { + s0+=90.0; + } + } else { + if(i17<694.1581420898438){ + s1+=12.0; + } else { + s0+=2435.0; + } + } + } +} +if(i7<174.80599975585938){ + if(i21<3.540618896484375){ + if(i28<304.0){ + if(i6<1.483612060546875){ + s1+=3379.0; + } else { + s0+=5.0; + } + } else { + if(i19<4.9449462890625){ + s0+=30.0; + } else { + s1+=4.0; + } + } + } else { + s0+=245.0; + } +} else { + if(i28<104.5){ + if(i21<0.71002197265625){ + if(i14<239.5){ + s1+=109.0; + } else { + s0+=53.0; + s1+=5.0; + } + } else { + s0+=53.0; + } + } else { + if(i16<655.0536499023438){ + if(i13<183.0){ + s1+=18.0; + } else { + s0+=9.0; + } + } else { + if(i10<-0.8562320470809937){ + s0+=2469.0; + s1+=3.0; + } else { + s0+=25.0; + s1+=8.0; + } + } + } +} +if(i25<-1.1590008735656738){ + if(i19<-17.869110107421875){ + if(i14<222.0){ + if(i16<831.2081298828125){ + s0+=1.0; + s1+=68.0; + } else { + s0+=1.0; + } + } else { + s0+=82.0; + } + } else { + if(i28<100.0){ + if(i10<-2.4218645095825195){ + s0+=75.0; + } else { + s0+=5.0; + s1+=2.0; + } + } else { + if(i25<-1.2063809633255005){ + s0+=2797.0; + } else { + s0+=2.0; + s1+=1.0; + } + } + } +} else { + if(i14<259.0){ + if(i9<21.94424819946289){ + if(i5<-170.04605102539062){ + s0+=2.0; + s1+=6.0; + } else { + s1+=3303.0; + } + } else { + s0+=2.0; + } + } else { + if(i14<269.0){ + if(i23<72.19464874267578){ + s0+=3.0; + } else { + s1+=1.0; + } + } else { + s0+=64.0; + } + } +} +if(i19<2.768157958984375){ + if(i29<187.5){ + if(i9<-28.726184844970703){ + s0+=49.0; + } else { + if(i13<239.0){ + s0+=15.0; + s1+=3324.0; + } else { + s0+=26.0; + } + } + } else { + if(i1<892.6075439453125){ + if(i25<-1.6852316856384277){ + s0+=24.0; + s1+=3.0; + } else { + s1+=55.0; + } + } else { + if(i1<980.3540649414062){ + s0+=12.0; + s1+=5.0; + } else { + s0+=267.0; + } + } + } +} else { + if(i6<-0.018341064453125){ + if(i23<43.68096160888672){ + s1+=39.0; + } else { + s0+=103.0; + } + } else { + s0+=2493.0; + } +} +if(i10<-0.8782731890678406){ + if(i6<-8.54888916015625){ + if(i28<176.5){ + if(i26<72.18962860107422){ + s1+=158.0; + } else { + s0+=2.0; + } + } else { + s0+=10.0; + } + } else { + if(i15<667.5){ + if(i21<-0.3426513671875){ + s0+=29.0; + s1+=39.0; + } else { + s0+=48.0; + s1+=4.0; + } + } else { + if(i16<666.2169189453125){ + s0+=15.0; + s1+=7.0; + } else { + s0+=2723.0; + s1+=1.0; + } + } + } +} else { + if(i19<6.42230224609375){ + if(i22<757.8148193359375){ + s1+=3253.0; + } else { + if(i27<7.949351787567139){ + s0+=10.0; + } else { + s1+=5.0; + } + } + } else { + s0+=111.0; + } +} +if(i24<-20.04850959777832){ + if(i4<-0.09613037109375){ + if(i25<-3.1347310543060303){ + if(i19<-26.8280029296875){ + s1+=1.0; + } else { + s0+=113.0; + } + } else { + s1+=112.0; + } + } else { + if(i21<-10.65985107421875){ + if(i16<807.8768310546875){ + s1+=1.0; + } else { + s0+=71.0; + } + } else { + s0+=2017.0; + } + } +} else { + if(i14<244.0){ + if(i19<5.251739501953125){ + if(i4<7.924774169921875){ + s0+=15.0; + s1+=3350.0; + } else { + s0+=7.0; + } + } else { + s0+=86.0; + } + } else { + if(i25<-0.4278339445590973){ + s0+=632.0; + } else { + if(i18<-3.85589599609375){ + s1+=1.0; + } else { + s0+=9.0; + } + } + } +} +if(i4<1.4339599609375){ + if(i22<467.6436462402344){ + if(i28<306.5){ + if(i1<986.6383056640625){ + s0+=3.0; + s1+=3420.0; + } else { + s0+=5.0; + s1+=1.0; + } + } else { + if(i0<896.0){ + s1+=2.0; + } else { + s0+=14.0; + } + } + } else { + if(i28<174.5){ + if(i22<834.3829345703125){ + s0+=1.0; + s1+=15.0; + } else { + s0+=5.0; + } + } else { + if(i21<-17.593048095703125){ + s1+=1.0; + } else { + s0+=170.0; + s1+=1.0; + } + } + } +} else { + if(i8<4.162977695465088){ + if(i16<733.3031005859375){ + s1+=5.0; + } else { + s0+=1.0; + } + } else { + if(i19<-69.48440551757812){ + s1+=3.0; + } else { + if(i29<72.0){ + s0+=1.0; + s1+=3.0; + } else { + s0+=2755.0; + s1+=9.0; + } + } + } +} +if(i25<-1.193070650100708){ + if(i4<-6.018646240234375){ + if(i15<745.5){ + if(i28<127.0){ + s0+=1.0; + s1+=65.0; + } else { + s0+=3.0; + } + } else { + if(i21<-14.26873779296875){ + s0+=1.0; + s1+=3.0; + } else { + s0+=86.0; + } + } + } else { + if(i0<964.5){ + if(i27<5.159228324890137){ + s0+=322.0; + s1+=1.0; + } else { + s0+=4.0; + s1+=10.0; + } + } else { + s0+=2428.0; + } + } +} else { + if(i14<278.5){ + if(i1<1036.49072265625){ + s1+=3422.0; + } else { + s0+=2.0; + } + } else { + s0+=67.0; + } +} +if(i25<-1.4031751155853271){ + if(i19<-19.5166015625){ + if(i16<757.4176025390625){ + s1+=36.0; + } else { + if(i10<-0.8459063172340393){ + s0+=53.0; + } else { + s1+=6.0; + } + } + } else { + if(i21<-8.821685791015625){ + if(i9<-2.527237892150879){ + s0+=24.0; + } else { + s0+=1.0; + s1+=4.0; + } + } else { + if(i21<-7.085784912109375){ + s0+=17.0; + s1+=1.0; + } else { + s0+=2784.0; + } + } + } +} else { + if(i1<988.359375){ + s1+=3409.0; + } else { + if(i10<-4.240988254547119){ + s0+=75.0; + } else { + if(i11<23.913131713867188){ + s0+=4.0; + } else { + s1+=1.0; + } + } + } +} +if(i16<727.4776611328125){ + if(i4<1.534149169921875){ + if(i26<39.15839385986328){ + if(i24<23.29443359375){ + s0+=2.0; + s1+=3358.0; + } else { + s0+=2.0; + } + } else { + if(i7<182.29132080078125){ + s1+=4.0; + } else { + s0+=4.0; + } + } + } else { + if(i1<970.62255859375){ + if(i20<-90.38046264648438){ + s0+=5.0; + } else { + s0+=3.0; + s1+=11.0; + } + } else { + s0+=134.0; + } + } +} else { + if(i21<-1.49798583984375){ + if(i1<938.1180419921875){ + if(i14<121.0){ + s1+=21.0; + } else { + s0+=13.0; + s1+=5.0; + } + } else { + if(i1<981.777099609375){ + s0+=7.0; + s1+=1.0; + } else { + s0+=196.0; + } + } + } else { + if(i7<93.0799560546875){ + if(i24<-62.78348922729492){ + s0+=75.0; + } else { + s0+=43.0; + s1+=4.0; + } + } else { + s0+=2527.0; + } + } +} +if(i4<1.374847412109375){ + if(i14<244.0){ + if(i21<3.344146728515625){ + if(i26<36.49028015136719){ + s0+=1.0; + s1+=3411.0; + } else { + s0+=15.0; + s1+=12.0; + } + } else { + if(i21<3.540618896484375){ + s0+=2.0; + s1+=1.0; + } else { + s0+=55.0; + } + } + } else { + if(i28<96.5){ + if(i25<-0.742031455039978){ + s0+=7.0; + } else { + s1+=4.0; + } + } else { + s0+=133.0; + } + } +} else { + if(i25<-0.08994322270154953){ + if(i15<600.5){ + if(i12<1.1992194652557373){ + s1+=2.0; + } else { + s0+=3.0; + } + } else { + if(i28<123.5){ + s0+=186.0; + s1+=7.0; + } else { + s0+=2564.0; + } + } + } else { + if(i13<220.5){ + s1+=9.0; + } else { + s0+=3.0; + } + } +} +if(i16<720.560302734375){ + if(i0<964.0){ + if(i19<4.9945068359375){ + if(i18<-9.2008056640625){ + s0+=6.0; + s1+=10.0; + } else { + s0+=6.0; + s1+=3341.0; + } + } else { + if(i14<96.0){ + s1+=3.0; + } else { + s0+=17.0; + } + } + } else { + if(i10<-3.029555320739746){ + s0+=142.0; + } else { + s1+=6.0; + } + } +} else { + if(i15<907.5){ + if(i1<935.5999755859375){ + if(i18<6.564361572265625){ + s0+=86.0; + s1+=24.0; + } else { + s0+=1.0; + s1+=30.0; + } + } else { + s0+=442.0; + } + } else { + s0+=2301.0; + } +} +if(i6<0.826873779296875){ + if(i15<916.5){ + if(i25<-2.458609104156494){ + if(i2<857.6064453125){ + s0+=17.0; + } else { + s0+=15.0; + s1+=14.0; + } + } else { + if(i11<52.815284729003906){ + s0+=3.0; + s1+=3408.0; + } else { + s0+=5.0; + s1+=3.0; + } + } + } else { + s0+=152.0; + } +} else { + if(i7<5.897900581359863){ + s1+=1.0; + } else { + if(i17<608.5244140625){ + s1+=5.0; + } else { + if(i16<720.4530029296875){ + s0+=138.0; + s1+=6.0; + } else { + s0+=2647.0; + s1+=1.0; + } + } + } +} +if(i4<1.5306396484375){ + if(i25<-2.6722426414489746){ + if(i28<98.5){ + if(i22<1601.6641845703125){ + s1+=3.0; + } else { + s0+=3.0; + } + } else { + if(i21<-18.371551513671875){ + s1+=1.0; + } else { + s0+=182.0; + } + } + } else { + if(i14<275.5){ + if(i1<986.6383056640625){ + s0+=2.0; + s1+=3382.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + s0+=3.0; + } + } +} else { + if(i25<1.9753755331039429){ + if(i29<54.0){ + s1+=1.0; + } else { + if(i28<103.5){ + s0+=106.0; + s1+=3.0; + } else { + s0+=2724.0; + s1+=1.0; + } + } + } else { + s1+=1.0; + } +} +if(i6<0.909393310546875){ + if(i22<456.4349365234375){ + if(i16<827.2705078125){ + if(i1<1025.0679931640625){ + s0+=3.0; + s1+=3417.0; + } else { + s0+=3.0; + } + } else { + s0+=17.0; + } + } else { + if(i16<788.8997192382812){ + if(i12<4.028232097625732){ + s0+=2.0; + s1+=11.0; + } else { + s0+=6.0; + } + } else { + s0+=171.0; + } + } +} else { + if(i13<182.5){ + if(i2<1009.1944580078125){ + if(i16<616.300048828125){ + s1+=1.0; + } else { + s0+=217.0; + } + } else { + if(i19<-7.065887451171875){ + s0+=4.0; + s1+=14.0; + } else { + s0+=96.0; + } + } + } else { + s0+=2453.0; + } +} +if(i16<711.9425048828125){ + if(i1<970.6661376953125){ + if(i29<205.5){ + if(i4<9.146484375){ + s0+=2.0; + s1+=3283.0; + } else { + s0+=1.0; + } + } else { + if(i22<404.691162109375){ + s1+=17.0; + } else { + s0+=6.0; + } + } + } else { + if(i0<963.5){ + if(i11<43.41515350341797){ + s0+=1.0; + s1+=2.0; + } else { + s0+=5.0; + } + } else { + s0+=129.0; + } + } +} else { + if(i6<-1.188751220703125){ + if(i22<495.8218994140625){ + if(i28<402.5){ + s1+=45.0; + } else { + s0+=5.0; + } + } else { + if(i17<734.0413818359375){ + s1+=3.0; + } else { + s0+=109.0; + s1+=2.0; + } + } + } else { + if(i21<-11.205718994140625){ + if(i14<243.5){ + s1+=3.0; + } else { + s0+=82.0; + } + } else { + s0+=2720.0; + } + } +} +if(i29<186.5){ + if(i14<243.5){ + if(i11<40.548744201660156){ + if(i5<-141.32904052734375){ + s0+=3.0; + } else { + s0+=1.0; + s1+=3294.0; + } + } else { + if(i19<-36.890716552734375){ + s1+=9.0; + } else { + s0+=23.0; + } + } + } else { + if(i4<-4.729095458984375){ + s1+=3.0; + } else { + s0+=174.0; + } + } +} else { + if(i25<-1.196779489517212){ + if(i19<-17.869110107421875){ + if(i14<163.0){ + s0+=3.0; + s1+=9.0; + } else { + s0+=79.0; + s1+=1.0; + } + } else { + s0+=2706.0; + } + } else { + if(i0<1005.0){ + if(i16<1042.51806640625){ + s1+=81.0; + } else { + s0+=2.0; + } + } else { + s0+=27.0; + } + } +} +if(i14<217.5){ + if(i29<275.5){ + if(i21<3.3336181640625){ + if(i26<39.54567337036133){ + s0+=4.0; + s1+=3393.0; + } else { + s0+=7.0; + s1+=15.0; + } + } else { + s0+=22.0; + } + } else { + if(i10<-0.33709457516670227){ + s0+=188.0; + } else { + if(i22<1216.134765625){ + s1+=15.0; + } else { + s0+=1.0; + } + } + } +} else { + if(i1<839.4381713867188){ + if(i28<249.5){ + s1+=16.0; + } else { + s0+=6.0; + } + } else { + if(i19<0.99700927734375){ + if(i4<-3.671875){ + s0+=11.0; + s1+=18.0; + } else { + s0+=303.0; + s1+=3.0; + } + } else { + s0+=2413.0; + } + } +} +if(i6<0.84954833984375){ + if(i15<912.0){ + if(i25<-2.4370980262756348){ + if(i21<-14.22406005859375){ + s0+=3.0; + s1+=14.0; + } else { + s0+=31.0; + } + } else { + if(i1<1025.0679931640625){ + s0+=2.0; + s1+=3478.0; + } else { + s0+=3.0; + } + } + } else { + s0+=137.0; + } +} else { + if(i16<605.3048706054688){ + s1+=5.0; + } else { + if(i21<-5.05816650390625){ + if(i14<222.0){ + s1+=21.0; + } else { + s0+=161.0; + } + } else { + s0+=2560.0; + } + } +} +if(i25<-1.3586857318878174){ + if(i10<-0.26190340518951416){ + if(i29<187.5){ + if(i6<2.733001708984375){ + s0+=14.0; + s1+=5.0; + } else { + s0+=102.0; + s1+=1.0; + } + } else { + if(i19<-17.869110107421875){ + s0+=78.0; + s1+=2.0; + } else { + s0+=2699.0; + } + } + } else { + if(i23<566.6839599609375){ + s1+=59.0; + } else { + s0+=4.0; + } + } +} else { + if(i25<-0.4916413724422455){ + if(i1<976.85693359375){ + s1+=266.0; + } else { + if(i10<-3.6609573364257812){ + s0+=68.0; + } else { + s0+=3.0; + s1+=2.0; + } + } + } else { + if(i0<1054.5){ + if(i1<998.0028076171875){ + s1+=3099.0; + } else { + s0+=1.0; + } + } else { + s0+=12.0; + } + } +} +if(i4<1.59332275390625){ + if(i14<243.5){ + if(i27<-0.5824763774871826){ + s0+=14.0; + } else { + if(i25<-2.458609104156494){ + s0+=38.0; + s1+=14.0; + } else { + s0+=3.0; + s1+=3442.0; + } + } + } else { + if(i16<673.6451416015625){ + if(i20<-16.50225830078125){ + s0+=2.0; + } else { + s1+=7.0; + } + } else { + s0+=113.0; + } + } +} else { + if(i13<40.5){ + if(i27<2.8825480937957764){ + s0+=3.0; + } else { + s1+=3.0; + } + } else { + if(i19<-11.8243408203125){ + if(i1<957.7167358398438){ + s0+=5.0; + s1+=10.0; + } else { + s0+=123.0; + s1+=1.0; + } + } else { + if(i25<-1.2063809633255005){ + s0+=2583.0; + } else { + s0+=53.0; + s1+=1.0; + } + } + } +} +if(i10<-0.9133291244506836){ + if(i25<-1.2063809633255005){ + if(i22<77.20011901855469){ + if(i15<606.5){ + s1+=1.0; + } else { + s0+=26.0; + } + } else { + if(i10<-1.873146414756775){ + s0+=2597.0; + } else { + s0+=209.0; + s1+=3.0; + } + } + } else { + if(i14<278.5){ + if(i6<6.7901611328125){ + s0+=1.0; + s1+=192.0; + } else { + s0+=3.0; + } + } else { + s0+=74.0; + } + } +} else { + if(i19<6.258758544921875){ + if(i17<1118.602294921875){ + if(i24<22.538108825683594){ + s1+=3170.0; + } else { + s0+=1.0; + } + } else { + s0+=2.0; + } + } else { + s0+=136.0; + } +} +if(i25<-1.2301151752471924){ + if(i7<156.47784423828125){ + if(i28<109.5){ + if(i15<589.5){ + s0+=1.0; + } else { + s1+=34.0; + } + } else { + if(i4<-14.21258544921875){ + s1+=4.0; + } else { + s0+=226.0; + } + } + } else { + if(i14<150.5){ + if(i15<778.0){ + s0+=12.0; + s1+=18.0; + } else { + s0+=59.0; + s1+=1.0; + } + } else { + if(i21<-11.62493896484375){ + s0+=65.0; + s1+=2.0; + } else { + s0+=2512.0; + } + } + } +} else { + if(i1<982.460693359375){ + s1+=3400.0; + } else { + if(i13<133.5){ + if(i15<653.5){ + s1+=1.0; + } else { + s0+=5.0; + } + } else { + s0+=75.0; + } + } +} +if(i4<1.518096923828125){ + if(i15<912.0){ + if(i19<6.6358642578125){ + if(i26<36.6164436340332){ + s0+=3.0; + s1+=3456.0; + } else { + s0+=12.0; + s1+=18.0; + } + } else { + s0+=18.0; + } + } else { + s0+=153.0; + } +} else { + if(i16<600.6004638671875){ + s1+=1.0; + } else { + if(i19<-68.57516479492188){ + if(i3<-13.015960693359375){ + s1+=1.0; + } else { + s0+=1.0; + } + } else { + if(i1<972.7078857421875){ + s0+=292.0; + s1+=5.0; + } else { + s0+=2455.0; + } + } + } +} +if(i25<-1.1870014667510986){ + if(i28<107.5){ + if(i14<237.5){ + if(i19<-8.749664306640625){ + s1+=64.0; + } else { + s0+=7.0; + } + } else { + s0+=87.0; + } + } else { + if(i19<-19.656158447265625){ + if(i17<939.4111938476562){ + s0+=2.0; + s1+=11.0; + } else { + s0+=65.0; + } + } else { + if(i16<719.9566650390625){ + s0+=49.0; + s1+=1.0; + } else { + s0+=2686.0; + } + } + } +} else { + if(i13<218.0){ + if(i4<7.174224853515625){ + if(i10<-5.402896881103516){ + s0+=2.0; + s1+=12.0; + } else { + s1+=3347.0; + } + } else { + s0+=2.0; + } + } else { + if(i29<92.5){ + if(i28<72.0){ + s0+=7.0; + } else { + s1+=2.0; + } + } else { + s0+=71.0; + } + } +} +if(i29<181.5){ + if(i4<1.83709716796875){ + if(i1<968.262451171875){ + s1+=3328.0; + } else { + s0+=10.0; + } + } else { + if(i10<-2.038851261138916){ + if(i10<-2.478259801864624){ + s0+=153.0; + } else { + s0+=2.0; + s1+=1.0; + } + } else { + if(i21<-1.292236328125){ + s1+=4.0; + } else { + s0+=1.0; + } + } + } +} else { + if(i6<-0.186004638671875){ + if(i14<163.5){ + if(i25<-4.562691688537598){ + s0+=8.0; + } else { + s0+=2.0; + s1+=101.0; + } + } else { + if(i16<721.914306640625){ + s1+=8.0; + } else { + s0+=125.0; + s1+=3.0; + } + } + } else { + if(i10<-0.12882018089294434){ + if(i15<725.5){ + s0+=64.0; + s1+=3.0; + } else { + s0+=2600.0; + } + } else { + s1+=2.0; + } + } +} +if(i6<0.847625732421875){ + if(i17<1040.712158203125){ + if(i7<390.94891357421875){ + if(i28<284.0){ + s0+=7.0; + s1+=3443.0; + } else { + s0+=10.0; + s1+=6.0; + } + } else { + if(i2<1001.1773681640625){ + s0+=20.0; + } else { + s0+=7.0; + s1+=13.0; + } + } + } else { + if(i28<76.5){ + s1+=2.0; + } else { + s0+=155.0; + } + } +} else { + if(i17<608.5244140625){ + s1+=8.0; + } else { + if(i1<967.809814453125){ + if(i19<-5.020904541015625){ + s0+=3.0; + s1+=12.0; + } else { + s0+=281.0; + } + } else { + s0+=2448.0; + } + } +} +if(i1<910.46875){ + if(i21<3.344146728515625){ + if(i26<34.75830841064453){ + if(i7<320.1092529296875){ + s1+=3414.0; + } else { + s0+=8.0; + s1+=6.0; + } + } else { + if(i10<-0.3021577000617981){ + s0+=17.0; + s1+=1.0; + } else { + s1+=17.0; + } + } + } else { + if(i19<6.318023681640625){ + if(i6<-1.216796875){ + s1+=3.0; + } else { + s0+=4.0; + } + } else { + s0+=233.0; + } + } +} else { + if(i1<952.2601318359375){ + if(i15<740.5){ + if(i2<978.186767578125){ + s0+=2.0; + } else { + s1+=36.0; + } + } else { + if(i6<2.731658935546875){ + s0+=6.0; + s1+=2.0; + } else { + s0+=56.0; + } + } + } else { + if(i13<153.0){ + if(i28<111.0){ + s0+=8.0; + s1+=8.0; + } else { + s0+=128.0; + } + } else { + if(i14<219.5){ + s0+=13.0; + s1+=1.0; + } else { + s0+=2452.0; + } + } + } +} +if(i16<724.0958251953125){ + if(i5<114.03656005859375){ + if(i10<-4.036643028259277){ + if(i14<166.0){ + s1+=15.0; + } else { + s0+=68.0; + } + } else { + if(i18<-9.460113525390625){ + s0+=8.0; + s1+=6.0; + } else { + s0+=6.0; + s1+=3316.0; + } + } + } else { + if(i7<73.87104797363281){ + s1+=3.0; + } else { + s0+=72.0; + } + } +} else { + if(i1<872.928955078125){ + if(i12<0.7429179549217224){ + s0+=188.0; + } else { + if(i29<279.0){ + s1+=34.0; + } else { + s0+=11.0; + s1+=10.0; + } + } + } else { + if(i14<117.0){ + s1+=3.0; + } else { + if(i14<151.5){ + s0+=11.0; + s1+=1.0; + } else { + s0+=2663.0; + } + } + } +} +if(i1<907.357421875){ + if(i25<-2.674396514892578){ + if(i21<-12.072906494140625){ + if(i10<-1.4044452905654907){ + s0+=1.0; + } else { + s1+=6.0; + } + } else { + s0+=252.0; + } + } else { + if(i24<-22.09832000732422){ + if(i24<-22.355579376220703){ + s1+=88.0; + } else { + s0+=2.0; + } + } else { + if(i22<681.6236572265625){ + s1+=3379.0; + } else { + s0+=2.0; + } + } + } +} else { + if(i6<-5.697021484375){ + if(i8<413.6322021484375){ + if(i16<794.5670166015625){ + s1+=7.0; + } else { + s0+=25.0; + } + } else { + s1+=15.0; + } + } else { + if(i25<1.7590787410736084){ + if(i17<711.5225219726562){ + s0+=189.0; + s1+=9.0; + } else { + s0+=2431.0; + s1+=7.0; + } + } else { + s1+=2.0; + } + } +} +if(i25<-1.0490669012069702){ + if(i29<137.5){ + if(i19<-11.19024658203125){ + if(i26<81.91893005371094){ + s1+=50.0; + } else { + s0+=1.0; + } + } else { + s0+=49.0; + } + } else { + if(i21<-10.07208251953125){ + if(i1<938.1180419921875){ + s0+=9.0; + s1+=21.0; + } else { + s0+=85.0; + s1+=1.0; + } + } else { + if(i25<-1.2063809633255005){ + s0+=2791.0; + } else { + s0+=8.0; + s1+=1.0; + } + } + } +} else { + if(i10<-5.2533416748046875){ + if(i1<960.998779296875){ + s1+=10.0; + } else { + s0+=66.0; + } + } else { + if(i20<324.64117431640625){ + if(i21<-36.728759765625){ + s0+=1.0; + s1+=44.0; + } else { + s1+=3277.0; + } + } else { + s0+=1.0; + } + } +} +if(i16<720.2791748046875){ + if(i13<236.5){ + if(i1<957.0352783203125){ + if(i22<493.99053955078125){ + s0+=4.0; + s1+=3387.0; + } else { + s0+=13.0; + s1+=5.0; + } + } else { + if(i2<1139.0877685546875){ + s0+=17.0; + } else { + s0+=1.0; + s1+=5.0; + } + } + } else { + s0+=129.0; + } +} else { + if(i25<-1.2014517784118652){ + if(i4<-17.857696533203125){ + if(i12<4.012856483459473){ + s1+=3.0; + } else { + s0+=8.0; + } + } else { + if(i28<115.5){ + s0+=56.0; + s1+=7.0; + } else { + s0+=2726.0; + } + } + } else { + if(i17<959.4730224609375){ + s1+=35.0; + } else { + s0+=19.0; + } + } +} +if(i4<1.5306396484375){ + if(i15<903.5){ + if(i16<798.0407104492188){ + if(i24<17.62728500366211){ + s0+=16.0; + s1+=3377.0; + } else { + s0+=5.0; + s1+=1.0; + } + } else { + if(i24<-33.270362854003906){ + s1+=3.0; + } else { + s0+=15.0; + } + } + } else { + s0+=160.0; + } +} else { + if(i29<72.0){ + if(i8<209.9420928955078){ + s0+=3.0; + } else { + s1+=3.0; + } + } else { + if(i16<600.5177612304688){ + s1+=1.0; + } else { + if(i28<109.5){ + s0+=95.0; + s1+=8.0; + } else { + s0+=2725.0; + s1+=3.0; + } + } + } +} +if(i4<1.505157470703125){ + if(i25<-2.6722426414489746){ + if(i16<832.9178466796875){ + if(i10<-0.7426364421844482){ + s0+=13.0; + } else { + s0+=4.0; + s1+=13.0; + } + } else { + s0+=163.0; + } + } else { + if(i14<269.0){ + if(i22<671.8634033203125){ + s0+=2.0; + s1+=3427.0; + } else { + s0+=3.0; + } + } else { + s0+=6.0; + } + } +} else { + if(i16<599.26513671875){ + s1+=2.0; + } else { + if(i22<114.91987609863281){ + if(i2<1029.637939453125){ + s0+=3.0; + s1+=4.0; + } else { + s0+=100.0; + } + } else { + if(i21<-10.15771484375){ + s0+=101.0; + s1+=4.0; + } else { + s0+=2570.0; + } + } + } +} +if(i15<713.5){ + if(i6<0.981964111328125){ + if(i18<-17.53839111328125){ + s0+=4.0; + } else { + if(i14<288.5){ + s0+=6.0; + s1+=3334.0; + } else { + s0+=4.0; + } + } + } else { + if(i21<-4.844085693359375){ + if(i27<6.4597978591918945){ + s1+=9.0; + } else { + s0+=1.0; + } + } else { + s0+=175.0; + } + } +} else { + if(i25<-1.196779489517212){ + if(i14<75.5){ + if(i2<853.7125244140625){ + s0+=3.0; + } else { + s1+=5.0; + } + } else { + if(i14<149.5){ + s0+=93.0; + s1+=5.0; + } else { + s0+=2666.0; + } + } + } else { + if(i13<217.5){ + if(i18<23.8199462890625){ + s1+=88.0; + } else { + s0+=1.0; + } + } else { + s0+=21.0; + } + } +} +if(i25<-1.2301151752471924){ + if(i15<717.5){ + if(i2<964.32666015625){ + if(i21<-5.55523681640625){ + s0+=2.0; + s1+=41.0; + } else { + s0+=23.0; + } + } else { + if(i14<171.5){ + s1+=5.0; + } else { + s0+=131.0; + s1+=2.0; + } + } + } else { + if(i27<6.308900356292725){ + s0+=2571.0; + } else { + if(i10<-0.9046253561973572){ + s0+=164.0; + s1+=1.0; + } else { + s0+=1.0; + s1+=11.0; + } + } + } +} else { + if(i4<8.4493408203125){ + if(i0<990.5){ + if(i6<0.852996826171875){ + s0+=1.0; + s1+=3385.0; + } else { + s0+=1.0; + s1+=7.0; + } + } else { + if(i10<-3.3323349952697754){ + s0+=6.0; + } else { + s1+=1.0; + } + } + } else { + s0+=62.0; + } +} +if(i25<-1.1907103061676025){ + if(i29<149.5){ + if(i16<722.1205444335938){ + if(i21<-4.544403076171875){ + s1+=55.0; + } else { + s0+=37.0; + } + } else { + s0+=12.0; + } + } else { + if(i28<123.5){ + if(i21<-9.571563720703125){ + s0+=3.0; + s1+=9.0; + } else { + s0+=75.0; + } + } else { + if(i19<-17.869110107421875){ + s0+=63.0; + s1+=1.0; + } else { + s0+=2711.0; + } + } + } +} else { + if(i13<218.5){ + if(i6<6.151824951171875){ + if(i1<988.359375){ + s1+=3380.0; + } else { + s0+=2.0; + } + } else { + s0+=4.0; + } + } else { + s0+=63.0; + } +} +if(i4<1.5306396484375){ + if(i22<487.3293151855469){ + if(i14<275.0){ + if(i0<1005.5){ + s0+=4.0; + s1+=3361.0; + } else { + s0+=1.0; + } + } else { + s0+=18.0; + } + } else { + if(i29<202.0){ + if(i15<636.5){ + s0+=2.0; + } else { + s1+=8.0; + } + } else { + if(i2<1002.9051513671875){ + s0+=56.0; + s1+=4.0; + } else { + s0+=107.0; + } + } + } +} else { + if(i27<3.837623119354248){ + if(i13<140.5){ + if(i25<-1.5340123176574707){ + s0+=168.0; + } else { + s0+=1.0; + s1+=1.0; + } + } else { + s0+=2341.0; + } + } else { + if(i16<721.3167724609375){ + s1+=7.0; + } else { + if(i14<178.5){ + s1+=2.0; + } else { + s0+=334.0; + } + } + } +} +if(i4<1.518096923828125){ + if(i25<-2.4370980262756348){ + if(i28<115.5){ + if(i26<74.63142395019531){ + s1+=8.0; + } else { + s0+=2.0; + } + } else { + if(i19<-29.323028564453125){ + s1+=1.0; + } else { + s0+=203.0; + s1+=1.0; + } + } + } else { + if(i14<275.0){ + if(i21<3.433319091796875){ + s0+=3.0; + s1+=3378.0; + } else { + s0+=2.0; + } + } else { + s0+=5.0; + } + } +} else { + if(i17<608.423095703125){ + s1+=4.0; + } else { + if(i28<109.5){ + if(i10<-2.2702081203460693){ + s0+=93.0; + s1+=3.0; + } else { + s1+=6.0; + } + } else { + if(i19<-19.656158447265625){ + s0+=75.0; + s1+=2.0; + } else { + s0+=2629.0; + } + } + } +} + float max_s=s0; + int cls=1; + if (max_s < s1) { + max_s = s1; + cls=2; + } + WRITE_IMAGE (out, POS_out_INSTANCE(x,y,z,0), cls); +} diff --git a/docs/examples/viewer-screenshots/APOC-custom-feature-set.png b/docs/examples/viewer-screenshots/APOC-custom-feature-set.png new file mode 100644 index 0000000..0cde117 Binary files /dev/null and b/docs/examples/viewer-screenshots/APOC-custom-feature-set.png differ diff --git a/docs/examples/viewer-screenshots/apoc-annotation-viewer.png b/docs/examples/viewer-screenshots/apoc-annotation-viewer.png new file mode 100644 index 0000000..019adcd Binary files /dev/null and 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b/docs/examples/viewer-screenshots/image-utilities-neuron-annotation.pong.png new file mode 100644 index 0000000..2e591d8 Binary files /dev/null and b/docs/examples/viewer-screenshots/image-utilities-neuron-annotation.pong.png differ diff --git a/docs/examples/viewer-screenshots/image-utilities-no-annotation.png b/docs/examples/viewer-screenshots/image-utilities-no-annotation.png new file mode 100644 index 0000000..9d6af44 Binary files /dev/null and b/docs/examples/viewer-screenshots/image-utilities-no-annotation.png differ diff --git a/docs/examples/viewer-screenshots/image-utilities-with-annotation.png b/docs/examples/viewer-screenshots/image-utilities-with-annotation.png new file mode 100644 index 0000000..faaa525 Binary files /dev/null and b/docs/examples/viewer-screenshots/image-utilities-with-annotation.png differ diff --git a/docs/examples/viewer-screenshots/measure_grouping.png b/docs/examples/viewer-screenshots/measure_grouping.png new file mode 100644 index 0000000..6c9a456 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b/docs/examples/viewer-screenshots/napari-assistant-voronoi-otsu.png new file mode 100644 index 0000000..c4882e5 Binary files /dev/null and b/docs/examples/viewer-screenshots/napari-assistant-voronoi-otsu.png differ diff --git a/docs/examples/viewer-screenshots/workflow-widget-roots.png b/docs/examples/viewer-screenshots/workflow-widget-roots.png new file mode 100644 index 0000000..1e97145 Binary files /dev/null and b/docs/examples/viewer-screenshots/workflow-widget-roots.png differ diff --git a/docs/examples/viewer-screenshots/workflow-widget-tasks.png b/docs/examples/viewer-screenshots/workflow-widget-tasks.png new file mode 100644 index 0000000..71f058e Binary files /dev/null and b/docs/examples/viewer-screenshots/workflow-widget-tasks.png differ diff --git a/mkdocs.yml b/mkdocs.yml index 0c7450a..24b20da 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -51,6 +51,7 @@ nav: - napari workflow: examples/workflow/workflow_napari-assistant.ipynb - workflow widget: examples/workflow/workflow_widget.ipynb - script workflow: examples/workflow/workflow_scripting.ipynb + - Measure Widget: examples/measure/measure_widget.ipynb - API: - Widgets: - api/widgets/image_utilities.md