-- Data for Name: parameter_group; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.parameter_group (id, group_id, group_name, group_param_arg_names) FROM stdin;
31447	idistance	缓冲区方式	if_input_field_to_buffer;distance;field
31448	joins_mitre	尖角限制	join_style;mitre_limit
31474	idistance	缓冲区方式	DIST_FIELD;DIST_FIELD_DEFAULT
32429	ixy	输入数据XY列	input;x_field;y_field
32440	ixy	输入数据XY列	input;x_field;y_field
32449	xy	输入数据XY列	input;x_field;y_field
32488	ixy	输入数据XY列	input;x_field;y_field
32489	tree_leaf	树叶子节点数	algorithm;leaf_size
32513	ixy	输入数据XY列	input;x_field;y_field
32542	ixy	输入数据XY列	input;x_field;y_field
32558	ixy	输入数据XY列	input;x_field;y_field
32577	ixy	输入数据XY列	input;x_field;y_field
32594	ixy	输入数据以及XY列	input;x_field;y_field
32605	ixy	输入数据XY列	input;x_field;y_field
32606	optics_method	optics方法	cluster_method;eps;xi;predecessor_correction;min_cluster_size
32607	tree_leaf	树叶子节点数	algorithm;leaf_size
32673	icoord	输入数据坐标串列	input;field
32680	ixyt	输入数据XYT列	input;x_field;y_field;t_field
32698	input_and_field_info	输入数据以及字段信息	input_file_path;start_time_index;end_time_index;lat;lon;point_id
32767	bw	带宽优选参数	s;a
32768	bwc	固定带宽参数	s;b
32804	soil samples	土壤样点与推测属性选择	sample;target
32827	soil samples	待推测属性选择	sample;target
32858	soil samples	待推测属性选择	sample;target
32874	user defined target grid system	用户自定义目标网格系统	TARGET_DEFINITION;TARGET_USER_SIZE;TARGET_USER_XMIN;TARGET_USER_XMAX;TARGET_USER_YMIN;TARGET_USER_YMAX;TARGET_USER_COLS;TARGET_USER_ROWS;TARGET_USER_FITS
33031	bw	带宽优选参数	s;a
33032	bwc	固定带宽参数	s;b
33143	bw	带宽优选参数	s;a
33144	bwc	固定带宽参数	s;b
33164	bw	带宽优选参数	s;a
33165	bwc	固定带宽参数	s;b
33311	targetixy	目标点文件输入数据	targetinput;targetinputxfield;targetinputyfield
33312	referenceixy	参考点文件输入数据	referenceinput;referenceinputxfield;referenceinputyfield
33338	all_ixyid	输入历史正常轨迹集数据的id、X、Y列	all_csv_file;all_track_id_field;all_x_field;all_y_field
33339	test_ixyid	输入异常轨迹测试集数据的id、X、Y列以及测试轨迹id	test_csv_file;test_track_id_field;test_x_field;test_y_field;test_track_id
33365	all_ixyid	输入历史正常轨迹集数据的id、X、Y列	all_csv_file;all_track_id_field;all_x_field;all_y_field
33366	test_ixyid	输入异常轨迹测试集数据的id、X、Y列以及测试轨迹id	test_csv_file;test_track_id_field;test_x_field;test_y_field;test_track_id
33390	ixy	输入数据XY列	input;x_field;y_field
33421	ixy	输入数据XY列	input;x_field;y_field;value_field
33432	ixy	输入数据XY列	input;x_field;y_field
33503	ixy	输入数据XY列	input;x_field;y_field
33517	ifield	权重字段	input;population
33532	ixy	输入数据以及XY列	input;x_field;y_field
33613	input_dv_iv	输入数据和变量	f;d;i
34452	kdparameter	kd树参数	ALGORITHM;EMAX
34497	modelfrom	模型来源	MODEL_SRC;MODEL_LOAD;MODEL_SAVE
34541	poly_and_degree	聚和度	k;d
34660	bw	带宽优选参数	s;a
34661	bwc	固定带宽参数	s;b
39141	bw	带宽优选参数	s;a
39142	bwc	固定带宽参数	s;b
\.


--
-- Data for Name: parameter_group_relation; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.parameter_group_relation (id, child, parent) FROM stdin;
\.


--
-- Data for Name: parameter_parameter_switches; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.parameter_parameter_switches (parameter_id, parameter_switches_id) FROM stdin;
33871	33872
34469	34470
34507	34508
34511	34512
31453	31454
31455	31456
31455	31457
31465	31466
31482	31483
31482	31484
31486	31487
32432	32433
32435	32436
32443	32444
32446	32447
32451	32452
32453	32454
32468	32469
32471	32472
32492	32493
32495	32496
32506	32507
32516	32517
32519	32520
32545	32546
32548	32549
32560	32561
32562	32563
32579	32580
32581	32582
32597	32598
32600	32601
32609	32610
32611	32612
32622	32623
32625	32626
32628	32629
32631	32632
32636	32637
32676	32677
32683	32684
32686	32687
32689	32690
32701	32702
32704	32705
32715	32716
32718	32719
32721	32722
32747	32748
32758	32759
32760	32761
32780	32781
32782	32783
32810	32811
32829	32830
32860	32861
32885	32886
32888	32889
32891	32892
32894	32895
32897	32898
32900	32901
32903	32904
32906	32907
33047	33048
33049	33050
33134	33135
33136	33137
33155	33156
33157	33158
33176	33177
33178	33179
33315	33316
33318	33319
33322	33323
33325	33326
33341	33342
33343	33344
33345	33346
33348	33349
33350	33351
33352	33353
33354	33355
33368	33369
33370	33371
33372	33373
33375	33376
33377	33378
33379	33380
33381	33382
33393	33394
33396	33397
33424	33425
33427	33428
33429	33430
33435	33436
33438	33439
33463	33464
33465	33466
33468	33469
33470	33471
33506	33507
33509	33510
33519	33520
33535	33536
33538	33539
33557	33558
33615	33616
33617	33618
34674	34675
34676	34677
39148	39149
39157	39158
39160	39161
39165	39166
39204	39205
39215	39216
\.


--
-- Data for Name: parameter_switch; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.parameter_switch (id, arg_name, arg_value_regex) FROM stdin;
33872	s	false
34470	ALGORITHM	1$
34508	MODEL_SRC	1
34512	MODEL_SRC	1
31454	if_input_field_to_buffer	false
31456	input	shp$
31457	if_input_field_to_buffer	true
31466	join_style	mitre$
31483	SHAPES	shp$
31484	if_input_field_to_buffer	true
31487	if_input_field_to_buffer	false
32433	input	csv$
32436	input	csv$
32444	input	csv$
32447	input	csv$
32452	input	csv$
32454	input	csv$
32469	input	csv$
32472	input	csv$
32493	input	csv$
32496	input	csv$
32507	algorithm	tree$
32517	input	csv$
32520	input	csv$
32546	input	csv$
32549	input	csv$
32561	input	csv$
32563	input	csv$
32580	input	csv$
32582	input	csv$
32598	input	txt$
32601	input	txt$
32610	input	csv$
32612	input	csv$
32623	cluster_method	dbscan$
32626	cluster_method	xi$
32629	cluster_method	xi$
32632	cluster_method	xi$
32637	algorithm	tree$
32677	input	csv$
32684	input	csv$
32687	input	csv$
32690	input	csv$
32702	input_file_path	csv$
32705	input_file_path	csv$
32716	input_file_path	csv$
32719	input_file_path	csv$
32722	input_file_path	csv$
32748	p	shp$
32759	s	true
32761	s	false
32781	s	true
32783	s	false
32811	sample	csv$
32830	sample	csv
32861	sample	csv
32886	TARGET_DEFINITION	0
32889	TARGET_DEFINITION	0
32892	TARGET_DEFINITION	0
32895	TARGET_DEFINITION	0
32898	TARGET_DEFINITION	0
32901	TARGET_DEFINITION	0
32904	TARGET_DEFINITION	0
32907	TARGET_DEFINITION	0
33048	s	true
33050	s	false
33135	s	true
33137	s	false
33156	s	true
33158	s	false
33177	s	true
33179	s	false
33316	targetinput	csv$
33319	targetinput	csv$
33323	referenceinput	csv$
33326	referenceinput	csv$
33342	all_csv_file	csv$
33344	all_csv_file	csv$
33346	all_csv_file	csv$
33349	test_csv_file	csv$
33351	test_csv_file	csv$
33353	test_csv_file	csv$
33355	test_csv_file	csv$
33369	all_csv_file	csv$
33371	all_csv_file	csv$
33373	all_csv_file	csv$
33376	test_csv_file	csv$
33378	test_csv_file	csv$
33380	test_csv_file	csv$
33382	test_csv_file	csv$
33394	input	csv$
33397	input	csv$
33425	input	csv$
33428	input	csv$
33430	input	csv$
33436	input	csv$
33439	input	csv$
33464	targetinput	csv$
33466	targetinput	csv$
33469	referenceinput	csv$
33471	referenceinput	csv$
33507	input	csv$
33510	input	csv$
33520	input	shp$
33536	input	txt$
33539	input	txt$
33558	s	false
33616	f	csv$
33618	f	csv$
34675	s	true
34677	s	false
39149	o	txt$
39158	s	true
39161	s	false
39166	m	omp
39205	o	txt$
39216	m	omp
\.


--
-- Data for Name: parameter_switch_arg_value_examples; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.parameter_switch_arg_value_examples (parameter_switch_id, arg_value_examples) FROM stdin;
33872	false
34470	1
34508	1
34512	1
31454	false
31456	data.shp
31457	true
31466	mitre
31483	data.shp
31484	true
31487	false
32433	big_dataset.csv
32433	small_dataset.csv
32436	big_dataset.csv
32436	small_dataset.csv
32444	big_dataset.csv
32444	small_dataset.csv
32447	big_dataset.csv
32447	small_dataset.csv
32452	big_dataset.csv
32452	small_dataset.csv
32454	big_dataset.csv
32454	small_dataset.csv
32469	big_dataset.csv
32469	small_dataset.csv
32472	big_dataset.csv
32472	small_dataset.csv
32493	big_dataset.csv
32493	small_dataset.csv
32496	big_dataset.csv
32496	small_dataset.csv
32507	ball_tree
32507	kd_tree
32517	big_dataset.csv
32517	small_dataset.csv
32520	big_dataset.csv
32520	small_dataset.csv
32546	big_dataset.csv
32546	small_dataset.csv
32549	big_dataset.csv
32549	small_dataset.csv
32561	big_dataset.csv
32561	small_dataset.csv
32563	big_dataset.csv
32563	small_dataset.csv
32580	big_dataset.csv
32580	small_dataset.csv
32582	big_dataset.csv
32582	small_dataset.csv
32598	big_dataset.txt
32598	small_dataset.txt
32601	big_dataset.txt
32601	small_dataset.txt
32610	big_dataset.csv
32610	small_dataset.csv
32612	big_dataset.csv
32612	small_dataset.csv
32623	dbscan
32626	xi
32629	xi
32632	xi
32637	ball_tree
32637	kd_tree
32677	big_dataset.csv
32677	small_dataset.csv
32684	big_dataset.csv
32684	small_dataset.csv
32687	big_dataset.csv
32687	small_dataset.csv
32690	big_dataset.csv
32690	small_dataset.csv
32702	a.csv
32702	b.csv
32705	a.csv
32705	b.csv
32716	a.csv
32716	b.csv
32719	a.csv
32719	b.csv
32722	a.csv
32722	b.csv
32748	a.shp
32748	gtwr-pre.shp
32759	true
32761	false
32781	true
32783	false
32811	sample.csv
32811	xc_represent_samples.csv
32830	sample.csv
32830	xc_represent_samples.csv
32861	sample.csv
32861	xc_represent_samples.csv
32886	0
32889	0
32892	0
32895	0
32898	0
32901	0
32904	0
32907	0
33048	true
33050	false
33135	true
33137	false
33156	true
33158	false
33177	true
33179	false
33316	big_dataset.csv
33316	small_dataset.csv
33319	big_dataset.csv
33319	small_dataset.csv
33323	big_dataset.csv
33323	small_dataset.csv
33326	big_dataset.csv
33326	small_dataset.csv
33342	big_dataset.csv
33342	small_dataset.csv
33344	big_dataset.csv
33344	small_dataset.csv
33346	big_dataset.csv
33346	small_dataset.csv
33349	big_dataset.csv
33349	small_dataset.csv
33351	big_dataset.csv
33351	small_dataset.csv
33353	big_dataset.csv
33353	small_dataset.csv
33355	big_dataset.csv
33355	small_dataset.csv
33369	big_dataset.csv
33369	small_dataset.csv
33371	big_dataset.csv
33371	small_dataset.csv
33373	big_dataset.csv
33373	small_dataset.csv
33376	big_dataset.csv
33376	small_dataset.csv
33378	big_dataset.csv
33378	small_dataset.csv
33380	big_dataset.csv
33380	small_dataset.csv
33382	big_dataset.csv
33382	small_dataset.csv
33394	big_dataset.csv
33394	small_dataset.csv
33397	big_dataset.csv
33397	small_dataset.csv
33425	big_dataset.csv
33425	small_dataset.csv
33428	big_dataset.csv
33428	small_dataset.csv
33430	big_dataset.csv
33430	small_dataset.csv
33436	big_dataset.csv
33436	small_dataset.csv
33439	big_dataset.csv
33439	small_dataset.csv
33464	a.csv
33464	b.csv
33466	a.csv
33466	b.csv
33469	a.csv
33469	b.csv
33471	a.csv
33471	b.csv
33507	data.csv
33510	data.csv
33520	data.shp
33536	big_dataset.txt
33536	small_dataset.txt
33539	big_dataset.txt
33539	small_dataset.txt
33558	false
33616	a.csv
33616	province.csv
33618	a.csv
33618	province.csv
34675	true
34677	false
39149	a.txt
39149	order.txt
39158	true
39161	false
39166	omp
39205	a.txt
39205	order.txt
39216	omp
\.


--
-- Data for Name: source_references; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.source_references (meta_source_id, reference_citations) FROM stdin;
1360	参考文献1
1543	参考文献1
1544	https://blog.csdn.net/qq_20412595/article/details/129457083
2253	Binbin Lu, Paul Harris, Martin Charlton & Chris Brunsdon (2014) The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models, Geo-spatial Information Science, 17:2, 85-101, DOI: 10.1080/10095020.2014.917453
2253	Brunsdon, C., Fotheringham, S., Charlton, M. 2007. Geographically weighted discriminant analysis. Geographical Analysis, 39(4): 376–396.
2254	Ronneberger, O., Fischer, P., Brox, T. 2015. U-net Convolutional networks for biomedical image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention, 234–241.
2255	Rumelhart, D. E., Hinton, G., Williams, R. J. 1986. Learning representations by back-propagating errors. Nature, 323(6088): 533–536.
2256	Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger.2018.Densely Connected Convolutional Networks.Computer Vision and Pattern Recognition.
2257	Lichen Zhou, Chuang Zhang, Ming Wu，T. 2018. LinkNet with Pretrained Encoder and Dilated Convolution for HighResolution Satellite Imagery Road Extraction
2258	copyright (c) 2020 JiaQi Xu S. Ren, K. He, R. Girshick, and J. Sun, Towards Real-Time Object Detection with Region Proposal Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137-1149, 2015. DOI为10.1109/TPAMI.2016.2577031.
2259	He, K., Gkioxari, G., Dollár, P., & Girshick, R. (2017). Mask R-CNN. In Proceedings of the IEEE international conference on computer vision (pp. 2961-2969).
2260	Rumelhart, D. E., Hinton, G., Williams, R. J. 1986. Learning representations by back-propagating errors. Nature, 323(6088): 533–536.
2261	C. -Y. Wang, A. Bochkovskiy and H. -Y. M. Liao, YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 2023, pp. 7464-7475, doi: 10.1109/CVPR52729.2023.00721.
2262	https://github.com/yhenon/pytorch-retinanet
2263	Ronneberger, O., Fischer, P., Brox, T. 2015. U-net Convolutional networks for biomedical image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention, 234–241.
2264	ronneberger, o., fischer, p., brox, t. 2015. u-net: convolutional networks for biomedical image segmentation. international conference on medical image computing and computer-assisted intervention, 234–241.
2265	https://github.com/yhenon/pytorch-retinanet
2266	https://github.com/lufficc/SSD
2267	Ronneberger, O., Fischer, P., Brox, T. 2015. U-net:Convolutional networks for biomedical image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention, 234–241.
2268	Freund, Y., Schapire, R. E. 1996. Experiments with a new boosting algorithm. Proceedings of the 13th International Conference on Machine Learning, 148–156.
2268	https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
2269	Dasarathy, B. V., Sheela, B. V. 1979. A composite classifier system design Concepts and methodology. Proceedings of the IEEE, 67(5)  708–713.
2269	https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html
2270	Friedman, J. H. 2001. Greedy function approximation:a gradient boosting machine. Annals of Statistics, 29(5):1189–1232.
2270	https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
2271	Breiman, L. 2001. Random forests. Machine Learning, 45(1):5–32.
2271	https://saga-gis.sourceforge.io/saga_tool_doc/8.1.0/imagery_vigra_11.html
2272	Breiman, L. 2001. Random forests. Machine Learning, 45(1):5–32.
2272	https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
2273	Duda, R. O., Hart, P. E. 1973. Pattern classification and scene analysis. New York:Wiley, 3:731–739.
2273	https://saga-gis.sourceforge.io/saga_tool_doc/8.1.0/imagery_opencv_6.html
2274	Duda, R. O., Hart, P. E. 1973. Pattern classification and scene analysis. New York:Wiley, 3:731–739.
2274	https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html
2275	Cortes, C., Vapnik, V. 1995. Support-vector networks. Machine learning, 20(3):273–297
2275	https://saga-gis.sourceforge.io/saga_tool_doc/8.1.0/imagery_opencv_7.html
2276	Cortes, C., Vapnik, V. 1995. Support-vector networks. Machine learning, 20(3):273–297.
2276	https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
2277	Bayes, T. 1763. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFRS. Philosophical transactions of the Royal Society of London, 1763(53), 370–418.
2277	https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
2278	Rennie, J. D., Shih, L., Teevan, J., & Karger, D. R. (2003).
2278	Tackling the poor assumptions of naive bayes text classifiers. In ICML (Vol. 3, pp. 616-623).
2278	https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html
2279	Bayes, T. 1763. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFRS. Philosophical transactions of the Royal Society of London, 1763(53), 370–418.
2279	https://scikit-learn.org/dev/modules/generated/sklearn.naive_bayes.GaussianNB.html
2280	Bayes, T. 1763. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFRS. Philosophical transactions of the Royal Society of London, 1763(53), 370–418.
2280	https://scikit-learn.org/0.15/modules/generated/sklearn.naive_bayes.MultinomialNB.html
2281	Bayes, T. 1763. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFRS. Philosophical transactions of the Royal Society of London, 1763(53), 370–418.
2281	https://saga-gis.sourceforge.io/saga_tool_doc/8.1.0/imagery_opencv_5.html
2082	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/mathand_stats_tools.html#multiply
2084	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/gis_analysis.html#centroidvector
2085	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/gis_analysis.html#PolygonArea
2086	https://pro.arcgis.com/zh-cn/pro-app/2.8/tool-reference/analysis/buffer.htm
2087	Dong, P, Yang, C., Rui, X., Zhang, L., Cheng, Q. (2003)，An effective buffer generation method in GIS. Geoscience and Remote Sensing Symposium, IGARSS '03. Proceedings. 2003 IEEE International, Vol.6, p.3706-3708. online.
2087	https://saga-gis.sourceforge.io/saga_tool_doc/8.1.0/shapes_tools_18.html
2088	Dong, P, Yang, C., Rui, X., Zhang, L., Cheng, Q. (2003)，An effective buffer generation method in GIS. Geoscience and Remote Sensing Symposium, IGARSS '03. Proceedings. 2003 IEEE International, Vol.6, p.3706-3708. online.
2088	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/gis_analysis_distance_tools.html#BufferRaster
2090	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/gis_analysis_overlay_tools.html#difference
2091	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/gis_analysis_overlay_tools.html#intersect
2092	https://www.whiteboxgeo.com/manual/wbt_book/available_tools/gis_analysis_overlay_tools.html#union
2093	Shapely: Manipulation and analysis of geometric objects. https://shapely.readthedocs.io/en/stable/manual.html
2095	somewhat
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\.


--
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33890	f	1.0E-4	\N	\N	(0,1)	\N
33892	f	2	\N	\N	(0,100)	\N
33905	f	all	train;inference;all	\N	\N	\N
33907	f	None	\N	\N	\N	\N
33909	f	resnet	resnet;xception;drn;mobilenet	\N	\N	\N
33911	f	16	\N	\N	\\[1,]	\N
33913	f	own	pascal;coco;cityscapes;own	\N	\N	\N
33915	f	2	\N	\N	\\[2,]	\N
33917	f	16	\N	\N	\\[1,]	\N
33920	f	checkpoint.pth.tar	\N	\N	\N	\N
33922	f	4	\N	\N	\\[0,]	\N
33924	f	512	\N	\N	(0,)	\N
33926	f	512	\N	\N	(0,)	\N
33928	f	ce	ce;focal	\N	\N	\N
33930	f	3	\N	\N	(0,)	\N
33932	f	0	\N	\N	\\[0,)	\N
33934	f	4	\N	\N	\\[1,)	\N
33936	f	1	\N	\N	\\[1,)	\N
33938	f	0.001	\N	\N	(0,)	\N
33940	f	poly	poly;step;cos	\N	\N	\N
33942	f	0.9	\N	\N	\\[0,1)	\N
33944	f	5.0E-4	\N	\N	\\[0,1)	\N
33946	f	0	\N	\N	\N	\N
33948	f	1	\N	\N	\\[0,)	\N
33950	f	checkname	\N	\N	\N	\N
33952	f	1	\N	\N	\\[1,)	\N
33954	f	None	\N	\N	\N	\N
33956	f	None	\N	\N	\N	\N
33970	f	0.1	\N	\N	(0,1)	\N
33972	f	0.9	\N	\N	(0,2)	\N
33974	f	4.0E-4	\N	\N	(0,1)	\N
33976	f	64	\N	\N	\\[1,)	\N
33978	f	10	\N	\N	\\[1,)	\N
33980	f	10	\N	\N	\\[1,)	\N
33982	f	99	\N	\N	(0,100)	\N
33984	f	12	\N	\N	\\[1,)	\N
33986	f	0.5	\N	\N	(0,1)	\N
34000	f	2	\N	\N	\\[1,)	\N
34002	f	2	\N	\N	\\[1,)	\N
34013	f	1.0E-4	\N	\N	\N	\N
34015	f	data/model_data/voc_classes.txt	\N	\N	\N	\N
34017	f	2	\N	\N	\N	\N
34019	f	5	\N	\N	\N	\N
34021	f	1.0E-6	\N	\N	\N	\N
34023	f	0.9	\N	\N	\N	\N
34025	f	0	\N	\N	\N	\N
34027	f	2	\N	\N	\N	\N
34029	f	data/logs	\N	\N	\N	\N
34045	f	./COCO2017	\N	\N	\N	\N
34047	f	./src/test.jpg	\N	\N	\N	\N
34049	f	./result/save_weights	\N	\N	\N	\N
34051	f	./result/img_out	\N	\N	\N	\N
34053	f	resnet50.pth	\N	\N	\N	\N
34055	f	maskrcnn_resnet50_fpn_coco.pth	\N	\N	\N	\N
34057	f	90	\N	\N	\N	\N
34059	f	1	\N	\N	\\[1,)	\N
34061	f	3	\N	\N	\\[1,)	\N
34063	f	0.004	\N	\N	(0,1)	\N
34065	f	0.9	\N	\N	(0,2)	\N
34067	f	1.0E-4	\N	\N	(0,1)	\N
34069	f	1	\N	\N	\N	\N
34071	f	0.1	\N	\N	\N	\N
34073	f	1	\N	\N	\\[1,)	\N
34076	f	256	\N	\N	(0,)	\N
34078	f	0	\N	\N	[0,1]	\N
34080	f	0.1	\N	\N	[0,1]	\N
34082	f	20	\N	\N	[0,]	\N
34084	f	1	\N	\N	[1,]	\N
34086	f	256	\N	\N	[1,]	\N
34089	f	0	\N	\N	[0,1)	\N
34091	f	0.1	\N	\N	[0,1)	\N
34104	f	\N	detect	\N	\N	\N
34106	f	yolov7.pt	\N	\N	\N	\N
34109	f	640	\N	\N	(0,)	\N
34111	f	0.25	\N	\N	[0,1]	\N
34113	f	0.25	\N	\N	[0,1]	\N
34123	f	16	\N	\N	[1,]	\N
34126	f	8	\N	\N	(0,)	\N
34140	f	18	\N	\N	[18,152]	\N
34142	f	10	\N	\N	[1,)	\N
34158	f	1.0E-4	\N	\N	(0,1)	\N
34160	f	0.9	\N	\N	(0,2)	\N
34162	f	5.0E-4	\N	\N	(0,1)	\N
34164	f	0.1	\N	\N	(0,1)	\N
34166	f	512, 512	\N	\N	\N	\N
34168	f	2	\N	\N	[2,]	\N
34170	f	1	\N	\N	[1,]	\N
34172	f	200	\N	\N	[200,]	\N
34174	f	100	\N	\N	[1,max_steps]	\N
34176	f	100	\N	\N	[1,max_steps]	\N
34178	f	0.5	\N	\N	[0,1]	\N
34180	f	0.5	\N	\N	[0,1]	\N
34182	f	0	\N	\N	\N	\N
34192	f	cpu	\N	\N	\N	\N
34194	f	./flower_data	\N	\N	\N	\N
34196	f	./flower_data/flower_photos/tulips/10791227_7168491604.jpg	\N	\N	\N	\N
34198	f	5	\N	\N	\N	\N
34200	f	2	\N	\N	\\[1,)	\N
34202	f	0.02	\N	\N	(0,1)	\N
34204	f	0.9	\N	\N	(0,2)	\N
34206	f	1.0E-4	\N	\N	(0,1)	\N
34208	f	32	\N	\N	\\[1,)	\N
34210	f	./vgg16Net.pth	\N	\N	\N	\N
34212	f	result	\N	\N	\N	\N
34225	f	18	\N	\N	[18,152]	\N
34227	f	10	\N	\N	[1,)	\N
34237	f	datasets	\N	\N	\N	\N
34239	f	0	\N	\N	\N	\N
34241	f	10	\N	\N	\N	\N
34243	f	2500	\N	\N	\N	\N
34245	f	2500	\N	\N	\N	\N
34247	f	true	\N	\N	\N	\N
34249	f	81	\N	\N	\N	\N
34251	f	512,1024,512,256,256,256,256	\N	\N	\N	\N
34253	f	64,32,16,8,4,2,1	\N	\N	\N	\N
34255	f	8,16,32,64,128,256,512	\N	\N	\N	\N
34257	f	20.48,51.2,133.12,215.04,296.96,378.88,460.8	\N	\N	\N	\N
34259	f	51.2,133.12,215.04,296.96,378.88,460.8,542.72	\N	\N	\N	\N
34261	f	2;2,3;2,3;2,3;2,3;2;2	\N	\N	\N	\N
34263	f	4,6,6,6,6,4,4	\N	\N	\N	\N
34265	f	512	\N	\N	\N	\N
34267	f	300	\N	\N	\N	\N
34269	f	360000,480000	\N	\N	\N	\N
34271	f	0.1	\N	\N	\N	\N
34273	f	1	\N	\N	\N	\N
34275	f	0.001	\N	\N	\N	\N
34277	f	outputs/cocoout	\N	\N	\N	\N
34295	f	1.0E-4	\N	\N	(0,1)	\N
34297	f	0.9	\N	\N	(0,2)	\N
34299	f	5.0E-4	\N	\N	(0,1)	\N
34301	f	100	\N	\N	[1,max_steps]	\N
34303	f	0.1	\N	\N	(0,1)	\N
34305	f	512, 512	\N	\N	\N	\N
34307	f	2	\N	\N	[2,]	\N
34309	f	1	\N	\N	[1,]	\N
34311	f	200	\N	\N	[200,]	\N
34313	f	100	\N	\N	[1,max_steps]	\N
34315	f	100	\N	\N	[1,max_steps]	\N
34317	f	0.5	\N	\N	[0,1]	\N
34319	f	0.5	\N	\N	[0,1]	\N
34332	f	50	\N	\N	[1,]	\N
34334	f	1.0	\N	\N	(0.0,]	\N
34336	f	SAMME.R	SAMME.R;SAMME	\N	\N	\N
34338	f	\N	\N	\N	[0,4294967295]	\N
34340	f	0.3	\N	\N	[0.0,1.0]	\N
34350	f	10	\N	\N	\N	\N
34352	f	1	\N	\N	\N	\N
34354	f	1	\N	\N	\N	\N
34356	f	-1	\N	\N	\N	\N
34358	f	1	\N	\N	\N	\N
34370	f	deviance	deviance;exponential	\N	\N	\N
34372	f	0.1	\N	\N	[0,1]	\N
34374	f	1.0	\N	\N	[0,1]	\N
34376	f	100	\N	\N	[1,]	\N
34378	f	friedman_mse	friedman_mse;mse;mae	\N	\N	\N
34380	f	3	\N	\N	[1,]	\N
34382	f	0.0	\N	\N	[0.0,)	\N
34384	f	0.0	\N	\N	[0,1]	\N
34386	f	None	auto;sqrt;log2;None	\N	\N	\N
34388	f	0	\N	\N	[0,]	\N
34390	f	\N	\N	\N	[0,]	\N
34392	f	False	True;False	\N	\N	\N
34394	f	0.1	\N	\N	(0,1)	\N
34396	f	\N	\N	\N	[1,)	\N
34398	f	1.0E-4	\N	\N	(0,1)	\N
34400	f	0.0	\N	\N	[0.0,]	\N
34409	f	False	True;False	\N	\N	\N
34412	f	32	\N	\N	(0,)	\N
34414	f	1.0	\N	\N	[0.0,1.0]	\N
34416	f	True	True;False	\N	\N	\N
34418	f	1	\N	\N	[1,)	\N
34420	f	1	0;1;2	\N	\N	\N
34422	f	1	0;1;2	\N	\N	\N
34430	f	100	\N	\N	[1,]	\N
34432	f	gini	entropy;gini	\N	\N	\N
34434	f	1	\N	\N	[-2,]	\N
34436	f	2	\N	\N	[1,]	\N
34438	f	2	\N	\N	[1,]	\N
34440	f	0.0	\N	\N	[0.0,0.5]	\N
34442	f	auto	auto;sqrt;log2;None	\N	\N	\N
34444	f	0	\N	\N	[0,]	\N
34446	f	0.0	\N	\N	[0.0,]	\N
34454	f	False	True;False	\N	\N	\N
34460	f	1.0	\N	\N	(0.0,)	\N
34462	f	3	\N	\N	[1,)	\N
34464	f	0	0;1	\N	\N	\N
34466	f	0	0;1	\N	\N	\N
34468	f	1000	\N	\N	[1,)	\N
34477	f	5	\N	\N	\N	\N
34479	f	uniform	uniform;distance	\N	\N	\N
34481	f	auto	auto;ball_tree;kd_tree;brute	\N	\N	\N
34483	f	30	\N	\N	[1,10000]	\N
34485	f	2	\N	\N	[0,2]	\N
34487	f	minkowski	euclidean;manhattan;chebyshev;wminkowski;minkowski;seuclidean;mahalanobis	\N	\N	\N
34489	f	-1	\N	\N	[-2,]	\N
34491	f	0.3	\N	\N	(0,1]	\N
34501	f	2	0;1;2	\N	\N	\N
34503	f	False	True;False	\N	\N	\N
34505	f	0	0;1	\N	\N	\N
34513	f	0	0;1;2;3;4	\N	\N	\N
34515	f	2	0;1;2;3	\N	\N	\N
34517	f	3	\N	\N	\N	\N
34519	f	0.0	\N	\N	\N	\N
34521	f	0.0	\N	\N	\N	\N
34523	f	1.0	\N	\N	\N	\N
34525	f	0.5	\N	\N	\N	\N
34527	f	0.1	\N	\N	\N	\N
34529	f	100.0	\N	\N	\N	\N
34531	f	0.001	\N	\N	\N	\N
34533	f	False	True;False	\N	\N	\N
34535	f	False	True;False	\N	\N	\N
34537	f	1	\N	\N	[1,]	\N
34546	f	1.0	\N	\N	(0,]	\N
34548	f	rbf	linear;poly;rbf;sigmoid;precomputed	\N	\N	\N
34550	f	3	\N	\N	[0,]	\N
34552	f	scale	scale;auto	\N	\N	\N
34554	f	0.0	\N	\N	[0.0,]	\N
34556	f	0.001	\N	\N	(0,1)	\N
34558	f	200.0	\N	\N	(0,)	\N
34560	f	ovr	\N	\N	\N	\N
34570	f	1.0	\N	\N	[0,)	\N
34572	f	0.0	\N	\N	[0,1]	\N
34574	f	True	True;False	\N	\N	\N
34576	f	0.3	\N	\N	(0,1]	\N
34586	f	1.0	\N	\N	[0,10000]	\N
34588	f	True	True;False	\N	\N	\N
34590	f	False	True;False	\N	\N	\N
34600	f	1.0E-9	\N	\N	(0,1]	\N
34610	f	1.0	\N	\N	[0,1.0]	\N
34612	f	True	True;False	\N	\N	\N
34619	f	False	True;False	\N	\N	\N
34625	f	1.0	\N	\N	(0.0,)	\N
31424	f	\N	Multiply;Add;Subtract;Divide	\N	\N	\N
31435	f	CentroidVector	\N	\N	\N	\N
31442	f	PolygonArea	\N	\N	\N	\N
31450	f	true	\N	\N	\N	\N
31452	f	5	\N	\N	(0,)	\N
31458	f	16	\N	\N	(0,)	\N
31460	f	round	round;flat;square	\N	\N	\N
31462	f	round	round;mitre;bevel	\N	\N	\N
31464	f	5	\N	\N	(0,)	\N
31467	f	False	\N	\N	\N	\N
31469	f	True	\N	\N	\N	\N
31475	f	shapes_tools	\N	\N	\N	\N
31477	f	18	\N	\N	\N	\N
31480	f	false	\N	\N	\N	\N
31485	f	100	\N	\N	(0,)	\N
31488	f	1	\N	\N	[0,1]	\N
31490	f	1	\N	\N	(0,)	\N
31492	f	0	0;1	\N	\N	\N
31494	f	5	\N	\N	(0.01,45)	\N
31496	f	false	\N	\N	\N	\N
31501	f	BufferRaster	\N	\N	\N	\N
31504	f	10	\N	\N	(0,)	\N
31506	f	false	\N	\N	\N	\N
31512	f	1	1;2;3;4	\N	\N	\N
31516	f	Difference	\N	\N	\N	\N
31524	f	Intersect	\N	\N	\N	\N
31528	f	0.0	\N	\N	\N	\N
31534	f	Union	\N	\N	\N	\N
31538	f	0.0	\N	\N	\N	\N
31544	f	point	point;polyline;polygon	\N	\N	\N
31548	f	euclidean	euclidean;manhattan;chebyshev;cosine	\N	\N	\N
32385	f	flow-calcenter	\N	\N	\N	\N
32396	f	flow-kmeans	\N	\N	\N	\N
32406	f	imagery_classification	\N	\N	\N	\N
32408	f	1	\N	\N	\N	\N
32413	f	1	0;1;2	\N	\N	\N
32415	f	10	\N	\N	[2,]	\N
32417	f	0	\N	\N	[0,]	\N
32419	f	False	\N	\N	\N	\N
32421	f	0	0;1;2	\N	\N	\N
32423	f	False	\N	\N	\N	\N
32425	f	True	\N	\N	\N	\N
32431	f	x	\N	\N	\N	\N
32434	f	y	\N	\N	\N	\N
32437	f	2.0	\N	\N	(0,10)	\N
32442	f	POINT_X	\N	\N	\N	\N
32445	f	POINT_Y	\N	\N	\N	\N
32455	f	0.5	\N	\N	(0,)	\N
32457	f	50	\N	\N	(0,)	\N
32459	f	\N	\N	\N	(1,)	\N
32461	f	True	\N	\N	\N	\N
32467	f	x	\N	\N	\N	\N
32470	f	y	\N	\N	\N	\N
32473	f	5	\N	\N	(0,)	\N
32475	f	0.2	\N	\N	(0,1)	\N
32477	f	2.0	\N	\N	(0,)	\N
32491	f	x	\N	\N	\N	\N
32494	f	y	\N	\N	\N	\N
32497	f	\N	\N	\N	(0,)	\N
32499	f	\N	\N	\N	(0,)	\N
32501	f	euclidean	cityblock;cosine;euclidean;l1;l2;manhattan	\N	\N	\N
32503	f	auto	auto;ball_tree;kd_tree;brute	\N	\N	\N
32505	f	30	\N	\N	(0,)	\N
32508	f	-1	\N	\N	\N	\N
32515	f	x	\N	\N	\N	\N
32518	f	y	\N	\N	\N	\N
32521	f	\N	\N	\N	[2,)	\N
32523	f	\N	\N	\N	[2,)	\N
32525	f	1000	\N	\N	[100,)	\N
32527	f	1.0	\N	\N	(0,)	\N
32529	f	0.5	\N	\N	(0,)	\N
32531	f	gaussian	gaussian;maxican_hat;bubble;triangle	\N	\N	\N
32533	f	rectangular	rectangular;hexagonal	\N	\N	\N
32535	f	euclidean	euclidean;cosine;manhattan;chebyshev	\N	\N	\N
32537	f	\N	\N	\N	[0,)	\N
32544	f	x	\N	\N	\N	\N
32547	f	y	\N	\N	\N	\N
32550	f	2	\N	\N	\N	\N
32552	f	5.0E-5	\N	\N	\N	\N
32554	f	100	\N	\N	\N	\N
32564	f	5	\N	\N	(1,)	\N
32566	f	k-means++	k-means++;random	\N	\N	\N
32568	f	300	\N	\N	(0,)	\N
32570	f	1.0E-4	\N	\N	(0,)	\N
32572	f	auto	elkan;auto;full	\N	\N	\N
32583	f	\N	\N	\N	(0,)	\N
32585	f	true	true;false	\N	\N	\N
32587	f	-1	\N	\N	\N	\N
32589	f	300	\N	\N	(0,)	\N
32596	f	x	\N	\N	\N	\N
32599	f	y	\N	\N	\N	\N
32602	f	\N	\N	\N	(0,1)	\N
32613	f	5	\N	\N	(0,1);(1,)	\N
32615	f	\N	\N	\N	(0,)	\N
32617	f	minkowski	cityblock;cosine;euclidean;l1;l2;manhattan;braycurtis;canberra;chebyshev;correlation;dice;hamming;jaccard;kulsinski;mahalanobis;minkowski;rogerstanimoto;russellrao;seuclidean;sokalmichener;sokalsneath;sqeuclidean;yule	\N	\N	\N
32619	f	xi	xi;dbscan	\N	\N	\N
32621	f	\N	\N	\N	(0,)	\N
32624	f	0.05	\N	\N	(0,1)	\N
32627	f	True	\N	\N	\N	\N
32630	f	\N	\N	\N	(0,1);(1,)	\N
32633	f	auto	auto;ball_tree;kd_tree;brute	\N	\N	\N
32635	f	30	\N	\N	(0,)	\N
32638	f	-1	\N	\N	\N	\N
32653	f	5	\N	\N	\N	\N
32655	f	10	\N	\N	\N	\N
32657	f	0.5	\N	\N	\N	\N
32661	f	99	\N	\N	\N	\N
32663	f	0.05	\N	\N	\N	\N
32665	f	30	\N	\N	\N	\N
32667	f	18	\N	\N	\N	\N
32675	f	coord	\N	\N	\N	\N
32682	f	x	\N	\N	\N	\N
32685	f	y	\N	\N	\N	\N
32688	f	time	\N	\N	\N	\N
32691	f	0.5	\N	\N	\N	\N
32693	f	10	\N	\N	\N	\N
32695	f	10	\N	\N	\N	\N
32700	f	6	\N	\N	\N	\N
32703	f	45	\N	\N	\N	\N
32706	f	2	\N	\N	\N	\N
32708	f	2	\N	\N	\N	\N
32710	f	1	\N	\N	\N	\N
32712	f	1	\N	\N	\N	\N
32714	f	LATITUDE	\N	\N	\N	\N
32717	f	LONGITUDE	\N	\N	\N	\N
32720	f	OBJECTID	\N	\N	\N	\N
32725	f	flow-nn	\N	\N	\N	\N
32733	f	flow-idw	\N	\N	\N	\N
32749	f	0.05	\N	\N	[0,1]	\N
32751	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
32753	f	true	\N	\N	\N	\N
32755	f	true	\N	\N	\N	\N
32757	f	CV	CV;AIC	\N	\N	\N
32773	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
32775	f	true	\N	\N	\N	\N
32777	f	true	\N	\N	\N	\N
32779	f	CV	CV;AIC	\N	\N	\N
32788	f	IdwInterpolation	\N	\N	\N	\N
32792	f	False	\N	\N	\N	\N
32794	f	2.0	\N	\N	\N	\N
32805	f	4	\N	\N	\N	\N
32807	f	ipsm	\N	\N	\N	\N
32820	f	0.3	\N	\N	\N	\N
32849	f	Exp	Exp;Sph;Gau;Mat	\N	\N	\N
32875	f	grid_spline	\N	\N	\N	\N
32877	f	4	\N	\N	\N	\N
32882	f	0	0;1	\N	\N	\N
32884	f	1	\N	\N	[0,)	\N
32887	f	\N	\N	\N	[0,)	\N
32890	f	\N	\N	\N	[0,)	\N
32893	f	\N	\N	\N	[0,)	\N
32896	f	\N	\N	\N	[0,)	\N
32899	f	\N	\N	\N	[1,)	\N
32902	f	\N	\N	\N	[1,)	\N
32905	f	0	0;1	\N	\N	\N
32908	f	0	0;1	\N	\N	\N
32910	f	1.0E-4	\N	\N	[0,)	\N
32912	f	11	\N	\N	[1,14]	\N
32920	f	1000	\N	\N	(0,)	\N
32927	f	0.12	\N	\N	(0,)	\N
32934	f	1.2656431323155899E7	\N	\N	(0,)	\N
32936	f	3499600.399795701	\N	\N	(0,)	\N
32938	f	1.2810119457423057E7	\N	\N	(0,)	\N
32940	f	3680020.728794876	\N	\N	(0,)	\N
32942	f	500	\N	\N	(0,)	\N
32944	f	500	\N	\N	(0,)	\N
32951	f	10000	\N	\N	(0,)	\N
32953	f	0.12	\N	\N	(0,)	\N
32958	f	20	\N	\N	\N	\N
32964	f	3	\N	\N	\N	\N
32978	f	18	\N	\N	(0,)	\N
32980	f	200	\N	\N	(0,)	\N
32988	f	398	\N	\N	(0,)	\N
32990	f	667	\N	\N	(0,)	\N
32994	f	398	\N	\N	(0,)	\N
32996	f	667	\N	\N	(0,)	\N
33000	f	1	\N	\N	(0,)	\N
33002	f	937	\N	\N	(0,)	\N
33004	f	300	\N	\N	(0,)	\N
33006	f	28800	\N	\N	(0,)	\N
33010	f	1547	\N	\N	(0,)	\N
33012	f	897	\N	\N	(0,)	\N
33016	f	1	\N	\N	(0,)	\N
33018	f	9	\N	\N	(0,)	\N
33025	f	0	\N	\N	(0,)	\N
33027	f	0	\N	\N	(0,)	\N
33040	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33042	f	true	\N	\N	\N	\N
33044	f	true	\N	\N	\N	\N
33046	f	CV	CV;AIC	\N	\N	\N
33051	f	2	\N	\N	\N	\N
33069	f	18	\N	\N	(0,)	\N
33071	f	200	\N	\N	(0,)	\N
33114	f	\N	\N	\N	(1,)	\N
33116	f	day	sec;minute;hour;day;week;month;quarter;year	\N	\N	\N
33125	f	0.05	\N	\N	[0,1]	\N
33127	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33129	f	true	\N	\N	\N	\N
33131	f	true	\N	\N	\N	\N
33133	f	CV	CV;AIC	\N	\N	\N
33148	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33150	f	true	\N	\N	\N	\N
33152	f	true	\N	\N	\N	\N
33154	f	CV	CV;AIC	\N	\N	\N
33169	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33171	f	true	\N	\N	\N	\N
33173	f	true	\N	\N	\N	\N
33175	f	CV	CV;AIC	\N	\N	\N
33246	f	regular	regular;hexagonal	\N	\N	\N
33256	f	5	\N	\N	(0,)	\N
33261	f	3	\N	\N	\N	\N
33263	f	19	\N	\N	\N	\N
33268	f	0.1	\N	\N	\N	\N
33270	f	10	\N	\N	\N	\N
33275	f	ID	\N	\N	\N	\N
33277	f	rk	\N	\N	\N	\N
33279	f	rkmd	\N	\N	\N	\N
33281	f	pmd	\N	\N	\N	\N
33283	f	poi	\N	\N	\N	\N
33286	f	0.8	\N	\N	\N	\N
33292	f	300	\N	\N	\N	\N
33294	f	288	\N	\N	\N	\N
33296	f	5	\N	\N	\N	\N
33298	f	0.5	\N	\N	\N	\N
33303	f	5	\N	\N	\N	\N
33305	f	5	\N	\N	\N	\N
33307	f	4	\N	\N	\N	\N
33314	f	POINT_X	\N	\N	\N	\N
33317	f	POINT_Y	\N	\N	\N	\N
33321	f	POINT_X	\N	\N	\N	\N
33324	f	POINT_Y	\N	\N	\N	\N
33327	f	2	\N	\N	\N	\N
33332	f	0.05	\N	\N	\N	\N
33334	f	True	True;False	\N	\N	\N
33356	f	100	\N	\N	(0,)	\N
33358	f	200	\N	\N	(0,)	\N
33360	f	[10, 10]	\N	\N	\N	\N
33383	f	[10, 10]	\N	\N	\N	\N
33385	f	0.04	\N	\N	[0,1]	\N
33392	f	x	\N	\N	\N	\N
33395	f	y	\N	\N	\N	\N
33398	f	10	\N	\N	\N	\N
33400	f	1.5	\N	\N	\N	\N
33404	f	150	\N	\N	\N	\N
33406	f	0.01	\N	\N	\N	\N
33408	f	3	\N	\N	\N	\N
33410	f	0.05	\N	\N	\N	\N
33412	f	10	\N	\N	\N	\N
33417	f	3	\N	\N	\N	\N
33423	f	x	\N	\N	\N	\N
33426	f	y	\N	\N	\N	\N
33434	f	x	\N	\N	\N	\N
33437	f	y	\N	\N	\N	\N
33444	f	0.15	\N	\N	\N	\N
33446	f	700	\N	\N	\N	\N
33448	f	400	\N	\N	\N	\N
33451	f	1	\N	\N	\N	\N
33453	f	1.2	\N	\N	\N	\N
33457	f	0.15	\N	\N	(0,1)	\N
33459	f	0.6	\N	\N	(0,1)	\N
33472	f	5	\N	\N	\N	\N
33476	f	200	\N	\N	\N	\N
33478	f	1	\N	\N	\N	\N
33480	f	10	\N	\N	\N	\N
33486	f	20	\N	\N	\N	\N
33488	f	4	\N	\N	\N	\N
33490	f	3	\N	\N	\N	\N
33492	f	5	\N	\N	\N	\N
33494	f	12	\N	\N	\N	\N
33496	f	3	\N	\N	\N	\N
33498	f	0.6	\N	\N	\N	\N
33505	f	x	\N	\N	\N	\N
33508	f	y	\N	\N	\N	\N
33514	f	10	\N	\N	[2,)	\N
33521	f	\N	\N	\N	(0,)	\N
33523	f	\N	\N	\N	(0,)	\N
33534	f	x	\N	\N	\N	\N
33537	f	y	\N	\N	\N	\N
33540	f	20.0	\N	\N	\N	\N
33542	f	20	\N	\N	\N	\N
33544	f	100.0	\N	\N	\N	\N
33551	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33553	f	true	\N	\N	\N	\N
33555	f	true	\N	\N	\N	\N
33559	f	3	\N	\N	\N	\N
33566	f	None	\N	\N	\N	\N
33568	f	False	\N	\N	\N	\N
33570	f	auto	auto;full;arpack;randomized	\N	\N	\N
33576	f	30	\N	\N	(5,50]	\N
33578	f	2	\N	\N	\N	\N
33580	f	200	\N	\N	(10,1000]	\N
33582	f	1000	\N	\N	(250,]	\N
33584	f	-1	\N	\N	\N	\N
33591	f	flow-gearyc	\N	\N	\N	\N
33597	f	flow-gravity	\N	\N	\N	\N
33606	f	flow-Iindex	\N	\N	\N	\N
33623	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33625	f	true	\N	\N	\N	\N
33645	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
33647	f	true	\N	\N	\N	\N
33656	f	moran	moran;geary;getis	\N	\N	\N
33658	f	queen	queen;rook	\N	\N	\N
33660	f	W	W;B;C;U;minmax;S	\N	\N	\N
33668	f	moran	moran;geary;getis	\N	\N	\N
33670	f	queen	queen;rook	\N	\N	\N
33672	f	W	W;B;C;U;minmax;S	\N	\N	\N
33689	f	D8FlowAccumulation	\N	\N	\N	\N
33693	f	cells	cells;catchment area;specific contributing area	\N	\N	\N
33698	f	1	\N	\N	\N	\N
33700	f	d8flowdir	\N	\N	\N	\N
33749	f	StreamPowerIndex	\N	\N	\N	\N
33754	f	1.0	\N	\N	\N	\N
33763	f	ta_morphometry	\N	\N	\N	\N
33765	f	1	\N	\N	\N	\N
33767	f	0	0;1	\N	\N	\N
33769	f	0	0;1	\N	\N	\N
33776	f	1	\N	\N	\N	\N
33778	f	curvature	\N	\N	\N	\N
33783	f	ProfileCurvature	\N	\N	\N	\N
33787	f	false	\N	\N	\N	\N
33791	f	TangentialCurvature	\N	\N	\N	\N
33795	f	false	\N	\N	\N	\N
33799	f	gdaldem	\N	\N	\N	\N
33801	f	roughness	\N	\N	\N	\N
33807	f	1	\N	\N	\N	\N
33809	f	d8flowdir	\N	\N	\N	\N
33814	f	Slope	\N	\N	\N	\N
33817	f	1	\N	\N	\N	\N
33819	f	degrees	degrees;radians;percent	\N	\N	\N
33824	f	1	\N	\N	\N	\N
33826	f	twi	\N	\N	\N	\N
33833	f	Viewshed	\N	\N	\N	\N
33837	f	\N	\N	\N	(0,)	\N
33843	f	VisibilityIndex	\N	\N	\N	\N
33846	f	\N	\N	\N	(0,)	\N
33848	f	\N	\N	\N	(0,)	\N
34651	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
34653	f	CV	CV;AIC	\N	\N	\N
34665	f	3	\N	\N	(0,)	\N
34667	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
34669	f	true	\N	\N	\N	\N
34671	f	true	\N	\N	\N	\N
34673	f	CV	CV;AIC	\N	\N	\N
34686	f	3	\N	\N	(0,)	\N
34688	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
34690	f	true	\N	\N	\N	\N
34692	f	CV	CV;AIC	\N	\N	\N
34694	f	false	omp;false;…	\N	\N	\N
34696	f	\N	\N	\N	\N	\N
34863	f	u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2	\N	\N	\N	\N
34865	f	PM2.5	\N	\N	\N	\N
34867	f	x,y	\N	\N	\N	\N
34878	f	u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2	\N	\N	\N	\N
34880	f	PM2.5	\N	\N	\N	\N
34882	f	x,y	\N	\N	\N	\N
34884	f	2	\N	\N	\N	\N
34886	f	2	\N	\N	\N	\N
34888	f	100	\N	\N	\N	\N
34890	f	100	\N	\N	\N	\N
34892	f	1.5	\N	\N	\N	\N
34903	f	PM2.5	\N	\N	\N	\N
34905	f	x,y	\N	\N	\N	\N
34973	f	100	\N	\N	[1,)	\N
34975	f	gini	entropy;gini;poisson	\N	\N	\N
34977	f	3	\N	\N	[1,)	\N
34979	f	-1	\N	\N	[-2,)	\N
34981	f	2	\N	\N	[1,)	\N
34983	f	1	\N	\N	[1,)	\N
34985	f	0.0	\N	\N	[0.0,0.5]	\N
34987	f	0	\N	\N	[0,)	\N
34989	f	0.0	\N	\N	[0.0,)	\N
35147	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
35149	f	true	\N	\N	\N	\N
35151	f	20	\N	\N	(0,)	\N
35227	f	1	\N	\N	\N	\N
35229	f	threshold	\N	\N	\N	\N
35233	f	100.0	\N	\N	\N	\N
35339	f	0.5	\N	\N	(0,1)	\N
35341	f	100	\N	\N	[1,)	\N
35343	f	gini	entropy;gini;poisson	\N	\N	\N
35345	f	3	\N	\N	[1,)	\N
35347	f	-1	\N	\N	[-2,)	\N
35349	f	2	\N	\N	[1,)	\N
35351	f	1	\N	\N	[1,)	\N
35353	f	0.0	\N	\N	[0.0,0.5]	\N
35355	f	0	\N	\N	[0,)	\N
35357	f	0.0	\N	\N	[0.0,)	\N
38250	f	1	\N	\N	\N	\N
38252	f	pitremove	\N	\N	\N	\N
38257	f	BreachDepressionsLeastCost	\N	\N	\N	\N
38260	f	\N	\N	\N	(0,)	\N
38262	f	\N	\N	\N	(0,)	\N
38264	f	true	\N	\N	\N	\N
38266	f	\N	\N	\N	(0,)	\N
38268	f	true	\N	\N	\N	\N
38272	f	FillDepressions	\N	\N	\N	\N
38275	f	true	\N	\N	\N	\N
38277	f	\N	\N	\N	(0,)	\N
38279	f	\N	\N	\N	(0,)	\N
38399	f	1	\N	\N	\N	\N
38401	f	aread8	\N	\N	\N	\N
38404	f	-nc	\N	\N	\N	\N
38409	f	1	\N	\N	\N	\N
38411	f	d8distdowntostream	\N	\N	\N	\N
38416	f	1.0	\N	\N	\N	\N
38418	f	h	\N	\N	\N	\N
38531	f	node	\N	\N	\N	\N
38533	f	/app/server.js	\N	\N	\N	\N
39072	f	land_dem	\N	\N	\N	\N
39080	f	liangping	\N	\N	\N	\N
39084	f	SpeculationAreaConfirm.py	\N	\N	\N	\N
39091	f	Aspect	\N	\N	\N	\N
39094	f	1	\N	\N	\N	\N
39147	f	3	\N	\N	(0,)	\N
39150	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
39152	f	true	\N	\N	\N	\N
39154	f	true	\N	\N	\N	\N
39156	f	CV	CV;AIC	\N	\N	\N
39159	f	20	\N	\N	(0,)	\N
39162	f	false	omp;false	\N	\N	\N
39164	f	\N	\N	\N	(0,16]	\N
39203	f	3	\N	\N	(0,)	\N
39206	f	gaussian	gaussian;exponential;bisquare;tricube;boxcar	\N	\N	\N
39208	f	true	\N	\N	\N	\N
39210	f	CV	CV;AIC	\N	\N	\N
39212	f	false	omp;false	\N	\N	\N
39214	f	\N	\N	\N	(0,16]	\N
39276	f	424	\N	\N	\N	\N
39278	f	317	\N	\N	\N	\N
\.


--
-- Data for Name: specification_param_examples; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.specification_param_examples (specification_id, param_examples) FROM stdin;
\.


--
-- Data for Name: task; Type: TABLE DATA; Schema: public; Owner: onesis
--

COPY public.task (id, aoi_id, completed_time, create_time, input_params, is_deleted, log, model_id, name, params, portal_id, status, workflow_id) FROM stdin;
2694894f1d4f4348a07c4a0a0dfe8781		\N	2024-09-21 17:05:28.40236	{"twi":"/onesis/kt4/dem/aspect.tif","i":"/fel1837417849845579776.tif","o":"output_param"}	f	\N	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	null: /onesis/kt4/dem/aspect.tif; 输出数据: output_param; 输入数据: /fel1837417849845579776.tif; 	\N	0	23fab77e-84b4-4098-aeda-d27ce3fca1ef
510f654a4df34c25981c0dbf884cf2e6		2024-09-21 17:05:35.775095	2024-09-21 17:05:28.828457	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/fel1837417849845579776.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.156301\nData read time: 1.532629\nCompute time: 0.213601\nWrite time: 0.392600\nTotal time: 2.295131\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /fel1837417849845579776.tif; 	\N	6	23fab77e-84b4-4098-aeda-d27ce3fca1ef
ab3a33590bcc49fb87712be46f287f1f		2024-09-21 17:11:51.878572	2024-09-21 17:11:45.437007	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/fel1837419433228894208.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050763\nData read time: 1.187763\nCompute time: 0.365766\nWrite time: 0.334621\nTotal time: 1.938913\n	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /fel1837419433228894208.tif; 	\N	6	0f0a154e-f964-438e-8e14-25e080e282b4
87293ecda73d4facab91ed4f8ed89c5e		\N	2024-09-30 22:24:41.977855	{"od_index":"0,2,3,5,6","location_index":"0,1","location_I_index":"/onesis/kt4/test_data/statis/result/test","locations":"/onesis/kt4/test_data/statis/grid_6ring_500.csv","od_flow":"/onesis/kt4/test_data/statis/beijing_odflow_5days.csv"}	t	\N	94aa45cb-0093-34a5-975c-d1f041f8bcc0	地理流的I指数-09302224	地点多边形文件: /onesis/kt4/test_data/statis/grid_6ring_500.csv; null: /onesis/kt4/test_data/statis/beijing_odflow_5days.csv; null: 0,1; 索引: 0,2,3,5,6; null: /onesis/kt4/test_data/statis/result/test; 	\N	3	\N
a4ad9f35908f42f6867269e13fabf1d6		2024-09-18 17:17:12.05173	2024-09-18 17:16:17.611949	{"z":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","fel":"/onesis/kt4/dem/demfel.tif"}	t	\N	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）-09181716	数字高程模型: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 数字高程模型: /onesis/kt4/dem/demfel.tif; 	\N	7	\N
8f561ad1e8974f9082c488eb96934357		2024-10-07 23:00:24.03423	2024-10-07 22:59:28.438106	{"pop":"/onesis/kt4/test_data/statis/district_pop_wuhan.csv","pop_index":"1.0","od_index":"0,1,2,3","od":"/onesis/kt4/test_data/statis/od_flow.csv","g":"0,1","od_pred":"/onesis/kt4/job_results/gravi_res"}	t	\N	4177efec-f426-3b97-901f-e8e1661a4b18	地理流的重力模型-225928	输入数据文件: /onesis/kt4/test_data/statis/od_flow.csv; 输入区域人口文件: /onesis/kt4/test_data/statis/district_pop_wuhan.csv; 参数: 0,1; 参数: 0,1,2,3; 参数: 1.0; 输出数据文件: /onesis/kt4/job_results/gravi_res; 	\N	7	\N
93118356ec314e8cbc23351f1743af21		2024-10-08 16:15:09.926062	2024-10-02 15:53:55.356976	{"od":"/onesis/kt4/test_data/statis/result2/gearyc_res"}	t	\N	93db00fe-1ef3-3bc6-8d4f-b8fb5d45c72d	地理流的Geary'C指数分析-10021552	流数据文件: /onesis/kt4/test_data/statis/phone_flows.csv; 流数据文件: 0,1,2,3,4; 流数据文件: /onesis/kt4/test_data/statis/result2/gearyc_res; 	\N	8	\N
3d64e1c9a5b046348bb318e2976d2d25		2025-01-08 15:25:59.73267	2024-09-21 17:11:45.283457	{"twi":"/onesis/kt4/dem/aspect.tif","i":"/fel1837419433228894208.tif","o":"output_param"}	f	\N	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	null: /onesis/kt4/dem/aspect.tif; 输入数据: /fel1837419433228894208.tif; 输出数据: output_param; 	\N	9	0f0a154e-f964-438e-8e14-25e080e282b4
1509bfc1a7ba4af99f96276741c8d657		2024-09-29 17:42:43.049816	2024-09-29 17:41:25.406767	{"simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/zxh_org.tif","slope":"/onesis/kt4/test_data/interp/slope_25.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","dem":"/onesis/kt4/test_data/interp/dem_25.tif","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09291741	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/zxh_org.tif; 	\N	7	\N
00eb1799c3044859b4a3da23e8ec50bd	fb21777daf544ce5b7056587048162b3	\N	2024-10-02 15:44:27.291131	{"od":"/onesis/kt4/test_data/statis/result2/gearyc_res"}	t	\N	93db00fe-1ef3-3bc6-8d4f-b8fb5d45c72d	宣城-地理流的Geary'C指数分析-10021544	流数据文件: /onesis/kt4/test_data/statis/phone_flows.csv; 流数据文件: 0,1,2,3,4; 流数据文件: /onesis/kt4/test_data/statis/result2/gearyc_res; 	\N	3	\N
c3e3674404da4d8cb0c0b5f01f4e7264		2024-09-29 21:21:54.039605	2024-09-29 21:20:24.851172	{"a":"/onesis/kt4/test_data/regr/example_wp_log_peyton_manning.csv","b":"linear","d":"25","e":"0.8","f":"auto","g":"auto","h":"auto","j":"additive","k":"10","m":"0.05","n":"0","o":"0.8","p":"1000","q":"365","r":"day","s":"/onesis/kt4/results/","t":"TRUE"}	t	Pod Status: Failed\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nError in value[[3L]](cond) : 1\nCalls: tryCatch -> tryCatchList -> tryCatchOne -> <Anonymous>\nExecution halted\nfailed to create fsnotify watcher: too many open files	be074dcf-7aac-3b0a-a138-3632f20ede97	Prophet预测-09292119	趋势拟合方法: linear; 变点个数: 25; 变点比例: 0.8; 年季节性: auto; 月季节性: auto; 日季节性: auto; 季节模型: additive; 季节性强度: 10; 趋势灵活度: 0.05; mcmc采样: 0; 趋势改变程度: 0.8; 模拟抽取数: 1000; 时间频率: day; 是否包含历史数据: TRUE; 输入数据: /onesis/kt4/test_data/regr/example_wp_log_peyton_manning.csv; 预测周期数: 365; 结果路径: /onesis/kt4/results/; 	\N	7	\N
ccc4b6765e814800a54956ac3fa032c1		2024-10-08 11:33:25.500739	2024-10-08 09:53:31.522325	{"fel":"/onesis/kt4/job_results/fel1843469741700808704.tif","plan":"/onesis/kt4/job_results/plan1843469741860192256.tif"}	f	\N	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/job_results/fel1843469741700808704.tif; 平面曲率栅格: /onesis/kt4/job_results/plan1843469741860192256.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
5f3b05852ef649a1aefe048b3b1a141a	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:38:14.542036	2024-09-29 19:38:10.817773	{"p":"/onesis/kt4/test_data/terr/terr/result/d8.tif","ad8":"/onesis/kt4/results/10_1_7.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/result/d8.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.093219\nCompute time: 0.299181\nWrite time: 0.081248\nTotal time: 0.473648\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	梅溪流域-汇流累积量_D8（栅格）-09291938	D8单流向栅格: /onesis/kt4/test_data/terr/terr/result/d8.tif; d8汇流累积量栅格: /onesis/kt4/results/10_1_7.tif; 	\N	6	\N
2243255b748642fdbe6dda792bbae827	e90216d682a74f59915ec2b6fa2f87c5	2024-10-08 16:14:41.0391	2024-10-02 15:53:58.366261	{"od":"/onesis/kt4/test_data/statis/result2/gearyc_res"}	t	\N	93db00fe-1ef3-3bc6-8d4f-b8fb5d45c72d	梅溪流域-地理流的Geary'C指数分析-10021553	流数据文件: /onesis/kt4/test_data/statis/phone_flows.csv; 流数据文件: 0,1,2,3,4; 流数据文件: /onesis/kt4/test_data/statis/result2/gearyc_res; 	\N	8	\N
eecac1378bbf4e9fbb9350976fdbb7a5		2024-10-07 23:05:24.772092	2024-10-07 23:05:12.587541	{"pop":"/onesis/kt4/test_data/statis/district_pop_wuhan.csv","pop_index":"0,1,2,3","od_index":"0,1","od":"/onesis/kt4/test_data/statis/od_flow.csv","g":"1.0","od_pred":"/onesis/kt4/job_results/gravi_res"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-gravity --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_gravity/toolbox.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-gravity --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_gravity/toolbox.jar /data/onesis/kt4/test_data/statis/od_flow.csv /data/onesis/kt4/job_results/gravi_res /data/onesis/kt4/test_data/statis/district_pop_wuhan.csv 1.0 0,1 0,1,2,3\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/07 15:05:14 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	4177efec-f426-3b97-901f-e8e1661a4b18	地理流的重力模型-230511	输入数据文件: /onesis/kt4/test_data/statis/od_flow.csv; 输入区域人口文件: /onesis/kt4/test_data/statis/district_pop_wuhan.csv; 参数: 1.0; 参数: 0,1; 参数: 0,1,2,3; 输出数据文件: /onesis/kt4/job_results/gravi_res; 	\N	6	\N
d7f7d83337d740da8851507b4953e7a1		2024-10-08 16:25:15.857927	2024-10-08 16:25:11.536431	{"out_type":"cells","i":"/onesis/kt4/test_data/terr/filledDEM.tif","o":"/onesis/kt4/job_results/10_1_6.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nFlow directions: 0%\nFlow directions: 1%\nFlow directions: 2%\nFlow directions: 3%\nFlow directions: 4%\nFlow directions: 5%\nFlow directions: 6%\nFlow directions: 7%\nFlow directions: 8%\nFlow directions: 9%\nFlow directions: 10%\nFlow directions: 11%\nFlow directions: 12%\nFlow directions: 13%\nFlow directions: 14%\nFlow directions: 15%\nFlow directions: 16%\nFlow directions: 17%\nFlow directions: 18%\nFlow directions: 19%\nFlow directions: 20%\nFlow directions: 21%\nFlow directions: 22%\nFlow directions: 23%\nFlow directions: 24%\nFlow directions: 25%\nFlow directions: 26%\nFlow directions: 27%\nFlow directions: 28%\nFlow directions: 29%\nFlow directions: 30%\nFlow directions: 31%\nFlow directions: 32%\nFlow directions: 33%\nFlow directions: 34%\nFlow directions: 35%\nFlow directions: 36%\nFlow directions: 37%\nFlow directions: 38%\nFlow directions: 39%\nFlow directions: 40%\nFlow directions: 41%\nFlow directions: 42%\nFlow directions: 43%\nFlow directions: 44%\nFlow directions: 45%\nFlow directions: 46%\nFlow directions: 47%\nFlow directions: 48%\nFlow directions: 49%\nFlow directions: 50%\nFlow directions: 51%\nFlow directions: 52%\nFlow directions: 53%\nFlow directions: 54%\nFlow directions: 55%\nFlow directions: 56%\nFlow directions: 57%\nFlow directions: 58%\nFlow directions: 59%\nFlow directions: 60%\nFlow directions: 61%\nFlow directions: 62%\nFlow directions: 63%\nFlow directions: 64%\nFlow directions: 65%\nFlow directions: 66%\nFlow directions: 67%\nFlow directions: 68%\nFlow directions: 69%\nFlow directions: 70%\nFlow directions: 71%\nFlow directions: 72%\nFlow directions: 73%\nFlow directions: 74%\nFlow directions: 75%\nFlow directions: 76%\nFlow directions: 77%\nFlow directions: 78%\nFlow directions: 79%\nFlow directions: 80%\nFlow directions: 81%\nFlow directions: 82%\nFlow directions: 83%\nFlow directions: 84%\nFlow directions: 85%\nFlow directions: 86%\nFlow directions: 87%\nFlow directions: 88%\nFlow directions: 89%\nFlow directions: 90%\nFlow directions: 91%\nFlow directions: 92%\nFlow directions: 93%\nFlow directions: 94%\nFlow directions: 95%\nFlow directions: 96%\nFlow directions: 97%\nFlow directions: 98%\nFlow directions: 99%\nFlow directions: 100%\nNum. inflowing neighbours: 0%\nNum. inflowing neighbours: 1%\nNum. inflowing neighbours: 2%\nNum. inflowing neighbours: 3%\nNum. inflowing neighbours: 4%\nNum. inflowing neighbours: 5%\nNum. inflowing neighbours: 6%\nNum. inflowing neighbours: 7%\nNum. inflowing neighbours: 8%\nNum. inflowing neighbours: 9%\nNum. inflowing neighbours: 10%\nNum. inflowing neighbours: 11%\nNum. inflowing neighbours: 12%\nNum. inflowing neighbours: 13%\nNum. inflowing neighbours: 14%\nNum. inflowing neighbours: 15%\nNum. inflowing neighbours: 16%\nNum. inflowing neighbours: 17%\nNum. inflowing neighbours: 18%\nNum. inflowing neighbours: 19%\nNum. inflowing neighbours: 20%\nNum. inflowing neighbours: 21%\nNum. inflowing neighbours: 22%\nNum. inflowing neighbours: 23%\nNum. inflowing neighbours: 24%\nNum. inflowing neighbours: 25%\nNum. inflowing neighbours: 26%\nNum. inflowing neighbours: 27%\nNum. inflowing neighbours: 28%\nNum. inflowing neighbours: 29%\nNum. inflowing neighbours: 30%\nNum. inflowing neighbours: 31%\nNum. inflowing neighbours: 32%\nNum. inflowing neighbours: 33%\nNum. inflowing neighbours: 34%\nNum. inflowing neighbours: 35%\nNum. inflowing neighbours: 36%\nNum. inflowing neighbours: 37%\nNum. inflowing neighbours: 38%\nNum. inflowing neighbours: 39%\nNum. inflowing neighbours: 40%\nNum. inflowing neighbours: 41%\nNum. inflowing neighbours: 42%\nNum. inflowing neighbours: 43%\nNum. inflowing neighbours: 44%\nNum. inflowing neighbours: 45%\nNum. inflowing neighbours: 46%\nNum. inflowing neighbours: 47%\nNum. inflowing neighbours: 48%\nNum. inflowing neighbours: 49%\nNum. inflowing neighbours: 50%\nNum. inflowing neighbours: 51%\nNum. inflowing neighbours: 52%\nNum. inflowing neighbours: 53%\nNum. inflowing neighbours: 54%\nNum. inflowing neighbours: 55%\nNum. inflowing neighbours: 56%\nNum. inflowing neighbours: 57%\nNum. inflowing neighbours: 58%\nNum. inflowing neighbours: 59%\nNum. inflowing neighbours: 60%\nNum. inflowing neighbours: 61%\nNum. inflowing neighbours: 62%\nNum. inflowing neighbours: 63%\nNum. inflowing neighbours: 64%\nNum. inflowing neighbours: 65%\nNum. inflowing neighbours: 66%\nNum. inflowing neighbours: 67%\nNum. inflowing neighbours: 68%\nNum. inflowing neighbours: 69%\nNum. inflowing neighbours: 70%\nNum. inflowing neighbours: 71%\nNum. inflowing neighbours: 72%\nNum. inflowing neighbours: 73%\nNum. inflowing neighbours: 74%\nNum. inflowing neighbours: 75%\nNum. inflowing neighbours: 76%\nNum. inflowing neighbours: 77%\nNum. inflowing neighbours: 78%\nNum. inflowing neighbours: 79%\nNum. inflowing neighbours: 80%\nNum. inflowing neighbours: 81%\nNum. inflowing neighbours: 82%\nNum. inflowing neighbours: 83%\nNum. inflowing neighbours: 84%\nNum. inflowing neighbours: 85%\nNum. inflowing neighbours: 86%\nNum. inflowing neighbours: 87%\nNum. inflowing neighbours: 88%\nNum. inflowing neighbours: 89%\nNum. inflowing neighbours: 90%\nNum. inflowing neighbours: 91%\nNum. inflowing neighbours: 92%\nNum. inflowing neighbours: 93%\nNum. inflowing neighbours: 94%\nNum. inflowing neighbours: 95%\nNum. inflowing neighbours: 96%\nNum. inflowing neighbours: 97%\nNum. inflowing neighbours: 98%\nNum. inflowing neighbours: 99%\nNum. inflowing neighbours: 100%\nFlow accumulation: 44%\nFlow accumulation: 45%\nFlow accumulation: 46%\nFlow accumulation: 47%\nFlow accumulation: 48%\nFlow accumulation: 49%\nFlow accumulation: 50%\nFlow accumulation: 51%\nFlow accumulation: 52%\nFlow accumulation: 53%\nFlow accumulation: 54%\nFlow accumulation: 55%\nFlow accumulation: 56%\nFlow accumulation: 57%\nFlow accumulation: 58%\nFlow accumulation: 59%\nFlow accumulation: 60%\nFlow accumulation: 61%\nFlow accumulation: 62%\nFlow accumulation: 63%\nFlow accumulation: 64%\nFlow accumulation: 65%\nFlow accumulation: 66%\nFlow accumulation: 67%\nFlow accumulation: 68%\nFlow accumulation: 69%\nFlow accumulation: 70%\nFlow accumulation: 71%\nFlow accumulation: 72%\nFlow accumulation: 73%\nFlow accumulation: 74%\nFlow accumulation: 75%\nFlow accumulation: 76%\nFlow accumulation: 77%\nFlow accumulation: 78%\nFlow accumulation: 79%\nFlow accumulation: 80%\nFlow accumulation: 81%\nFlow accumulation: 82%\nFlow accumulation: 83%\nFlow accumulation: 84%\nFlow accumulation: 85%\nFlow accumulation: 86%\nFlow accumulation: 87%\nFlow accumulation: 88%\nFlow accumulation: 89%\nFlow accumulation: 90%\nFlow accumulation: 91%\nFlow accumulation: 92%\nFlow accumulation: 93%\nFlow accumulation: 94%\nFlow accumulation: 95%\nFlow accumulation: 96%\nFlow accumulation: 97%\nFlow accumulation: 98%\nFlow accumulation: 99%\nFlow accumulation: 100%\nCorrecting values: 0%\nCorrecting values: 1%\nCorrecting values: 2%\nCorrecting values: 3%\nCorrecting values: 4%\nCorrecting values: 5%\nCorrecting values: 6%\nCorrecting values: 7%\nCorrecting values: 8%\nCorrecting values: 9%\nCorrecting values: 10%\nCorrecting values: 11%\nCorrecting values: 12%\nCorrecting values: 13%\nCorrecting values: 14%\nCorrecting values: 15%\nCorrecting values: 16%\nCorrecting values: 17%\nCorrecting values: 18%\nCorrecting values: 19%\nCorrecting values: 20%\nCorrecting values: 21%\nCorrecting values: 22%\nCorrecting values: 23%\nCorrecting values: 24%\nCorrecting values: 25%\nCorrecting values: 26%\nCorrecting values: 27%\nCorrecting values: 28%\nCorrecting values: 29%\nCorrecting values: 30%\nCorrecting values: 31%\nCorrecting values: 32%\nCorrecting values: 33%\nCorrecting values: 34%\nCorrecting values: 35%\nCorrecting values: 36%\nCorrecting values: 37%\nCorrecting values: 38%\nCorrecting values: 39%\nCorrecting values: 40%\nCorrecting values: 41%\nCorrecting values: 42%\nCorrecting values: 43%\nCorrecting values: 44%\nCorrecting values: 45%\nCorrecting values: 46%\nCorrecting values: 47%\nCorrecting values: 48%\nCorrecting values: 49%\nCorrecting values: 50%\nCorrecting values: 51%\nCorrecting values: 52%\nCorrecting values: 53%\nCorrecting values: 54%\nCorrecting values: 55%\nCorrecting values: 56%\nCorrecting values: 57%\nCorrecting values: 58%\nCorrecting values: 59%\nCorrecting values: 60%\nCorrecting values: 61%\nCorrecting values: 62%\nCorrecting values: 63%\nCorrecting values: 64%\nCorrecting values: 65%\nCorrecting values: 66%\nCorrecting values: 67%\nCorrecting values: 68%\nCorrecting values: 69%\nCorrecting values: 70%\nCorrecting values: 71%\nCorrecting values: 72%\nCorrecting values: 73%\nCorrecting values: 74%\nCorrecting values: 75%\nCorrecting values: 76%\nCorrecting values: 77%\nCorrecting values: 78%\nCorrecting values: 79%\nCorrecting values: 80%\nCorrecting values: 81%\nCorrecting values: 82%\nCorrecting values: 83%\nCorrecting values: 84%\nCorrecting values: 85%\nCorrecting values: 86%\nCorrecting values: 87%\nCorrecting values: 88%\nCorrecting values: 89%\nCorrecting values: 90%\nCorrecting values: 91%\nCorrecting values: 92%\nCorrecting values: 93%\nCorrecting values: 94%\nCorrecting values: 95%\nCorrecting values: 96%\nCorrecting values: 97%\nCorrecting values: 98%\nCorrecting values: 99%\nCorrecting values: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.108s\n**********************************************************************************\nWARNING: Interior pit cells were found within the input DEM. It is likely that the \n            DEM needs to be processed to remove topographic depressions and flats prior to\n            running this tool.\n**********************************************************************************\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-162511	输出类型: cells; 输入数据: /onesis/kt4/test_data/terr/filledDEM.tif; 输出数据: /onesis/kt4/job_results/10_1_6.tif; 	\N	6	\N
e0f1f086fbe44564a09ac0b71fac09dc		2024-10-08 09:31:12.60884	2024-10-08 09:31:08.273785	{"z":"/onesis/kt4/dsm_case/dem_meixi.tif","fel":"/onesis/kt4/job_results/fel1843464107899092992.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.058698\nData read time: 0.070768\nCompute time: 0.317739\nWrite time: 0.096221\nTotal time: 0.543425\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/dsm_case/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/fel1843464107899092992.tif; 	\N	6	2a03ba80-9139-4e66-8bf1-3479e50e90d1
1de9d8f1f2ce4fd9ba9c10c10c3e93f3	fb21777daf544ce5b7056587048162b3	2024-10-04 18:52:24.595518	2024-10-02 17:23:43.843001	{"loc":"/onesis/kt4/test_data/statis/result2/ Indexresult","od":"0,2,3,5,6","locations":"/onesis/kt4/test_data/statis/grid_6ring_500.csv"}	t	\N	94aa45cb-0093-34a5-975c-d1f041f8bcc0	宣城-地理流的I指数-10021723	地点多边形文件: /onesis/kt4/test_data/statis/grid_6ring_500.csv; OD流文件: /onesis/kt4/test_data/statis/beijing_odflow_5days.csv; null: 0,1; OD流文件: 0,2,3,5,6; null: /onesis/kt4/test_data/statis/result2/ Indexresult; 	\N	8	\N
d58b743532e64c03879a639631aa9923		2024-10-09 10:43:35.309776	2024-10-09 10:43:17.679313	{"p":"/onesis/kt4/results/p1843844655888859136.tif","ad8":"/onesis/kt4/results/ad81843844655943385088.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843844655888859136.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.104662\nCompute time: 0.310488\nWrite time: 0.079469\nTotal time: 0.494619\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843844655888859136.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843844655943385088.tif; 	\N	6	8af8f882-6860-4437-99e4-b2f7d70a0011
49befeb795984e968196ba8d9b98484d	e90216d682a74f59915ec2b6fa2f87c5	2024-10-02 17:45:25.850614	2024-10-02 17:45:21.978866	{"min":"true","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","dist":"5","fill":"true","o":"/onesis/kt4/test_data/terr/result/filledDEM2.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*****************************************\n* Welcome to BreachDepressionsLeastCost *\n* Powered by WhiteboxTools              *\n* www.whiteboxgeo.com                   *\n*****************************************\nReading data...\nFinding pits: 0%\nFinding pits: 1%\nFinding pits: 2%\nFinding pits: 3%\nFinding pits: 4%\nFinding pits: 5%\nFinding pits: 6%\nFinding pits: 7%\nFinding pits: 8%\nFinding pits: 9%\nFinding pits: 10%\nFinding pits: 11%\nFinding pits: 12%\nFinding pits: 13%\nFinding pits: 14%\nFinding pits: 15%\nFinding pits: 16%\nFinding pits: 17%\nFinding pits: 18%\nFinding pits: 19%\nFinding pits: 20%\nFinding pits: 21%\nFinding pits: 22%\nFinding pits: 23%\nFinding pits: 24%\nFinding pits: 25%\nFinding pits: 26%\nFinding pits: 27%\nFinding pits: 28%\nFinding pits: 29%\nFinding pits: 30%\nFinding pits: 31%\nFinding pits: 32%\nFinding pits: 33%\nFinding pits: 34%\nFinding pits: 35%\nFinding pits: 36%\nFinding pits: 37%\nFinding pits: 38%\nFinding pits: 39%\nFinding pits: 40%\nFinding pits: 41%\nFinding pits: 42%\nFinding pits: 43%\nFinding pits: 44%\nFinding pits: 45%\nFinding pits: 46%\nFinding pits: 47%\nFinding pits: 48%\nFinding pits: 49%\nFinding pits: 50%\nFinding pits: 51%\nFinding pits: 52%\nFinding pits: 53%\nFinding pits: 54%\nFinding pits: 55%\nFinding pits: 56%\nFinding pits: 57%\nFinding pits: 58%\nFinding pits: 59%\nFinding pits: 60%\nFinding pits: 61%\nFinding pits: 62%\nFinding pits: 63%\nFinding pits: 64%\nFinding pits: 65%\nFinding pits: 66%\nFinding pits: 67%\nFinding pits: 68%\nFinding pits: 69%\nFinding pits: 70%\nFinding pits: 71%\nFinding pits: 72%\nFinding pits: 73%\nFinding pits: 74%\nFinding pits: 75%\nFinding pits: 76%\nFinding pits: 77%\nFinding pits: 78%\nFinding pits: 79%\nFinding pits: 80%\nFinding pits: 81%\nFinding pits: 82%\nFinding pits: 83%\nFinding pits: 84%\nFinding pits: 85%\nFinding pits: 86%\nFinding pits: 87%\nFinding pits: 88%\nFinding pits: 89%\nFinding pits: 90%\nFinding pits: 91%\nFinding pits: 92%\nFinding pits: 93%\nFinding pits: 94%\nFinding pits: 95%\nFinding pits: 96%\nFinding pits: 97%\nFinding pits: 98%\nFinding pits: 99%\nFinding pits: 100%\nBreaching: 0%\nBreaching: 1%\nBreaching: 2%\nBreaching: 3%\nBreaching: 4%\nBreaching: 5%\nBreaching: 6%\nBreaching: 7%\nBreaching: 8%\nBreaching: 9%\nBreaching: 10%\nBreaching: 11%\nBreaching: 12%\nBreaching: 13%\nBreaching: 14%\nBreaching: 15%\nBreaching: 16%\nBreaching: 17%\nBreaching: 18%\nBreaching: 19%\nBreaching: 20%\nBreaching: 21%\nBreaching: 22%\nBreaching: 23%\nBreaching: 24%\nBreaching: 25%\nBreaching: 26%\nBreaching: 27%\nBreaching: 28%\nBreaching: 29%\nBreaching: 30%\nBreaching: 31%\nBreaching: 32%\nBreaching: 33%\nBreaching: 34%\nBreaching: 35%\nBreaching: 36%\nBreaching: 37%\nBreaching: 38%\nBreaching: 39%\nBreaching: 40%\nBreaching: 41%\nBreaching: 42%\nBreaching: 43%\nBreaching: 44%\nBreaching: 45%\nBreaching: 46%\nBreaching: 47%\nBreaching: 48%\nBreaching: 49%\nBreaching: 50%\nBreaching: 51%\nBreaching: 52%\nBreaching: 53%\nBreaching: 54%\nBreaching: 55%\nBreaching: 56%\nBreaching: 57%\nBreaching: 58%\nBreaching: 59%\nBreaching: 60%\nBreaching: 61%\nBreaching: 62%\nBreaching: 63%\nBreaching: 64%\nBreaching: 65%\nBreaching: 66%\nBreaching: 67%\nBreaching: 68%\nBreaching: 69%\nBreaching: 70%\nBreaching: 71%\nBreaching: 72%\nBreaching: 73%\nBreaching: 74%\nBreaching: 75%\nBreaching: 76%\nBreaching: 77%\nBreaching: 78%\nBreaching: 79%\nBreaching: 80%\nBreaching: 81%\nBreaching: 82%\nBreaching: 83%\nBreaching: 84%\nBreaching: 85%\nBreaching: 86%\nBreaching: 87%\nBreaching: 88%\nBreaching: 89%\nBreaching: 90%\nBreaching: 91%\nBreaching: 92%\nBreaching: 93%\nBreaching: 94%\nBreaching: 95%\nBreaching: 96%\nBreaching: 97%\nBreaching: 98%\nBreaching: 99%\nBreaching: 100%\nNum. solved pits: 19673\nNum. unsolved pits: 1770\nFilling remaining depressions...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.00001\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 10%\nFixing flats: 11%\nFixing flats: 13%\nFixing flats: 14%\nFixing flats: 15%\nFixing flats: 17%\nFixing flats: 19%\nFixing flats: 20%\nFixing flats: 22%\nFixing flats: 23%\nFixing flats: 24%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 31%\nFixing flats: 32%\nFixing flats: 33%\nFixing flats: 36%\nFixing flats: 37%\nFixing flats: 39%\nFixing flats: 40%\nFixing flats: 41%\nFixing flats: 44%\nFixing flats: 46%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 54%\nFixing flats: 55%\nFixing flats: 56%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 61%\nFixing flats: 62%\nFixing flats: 63%\nFixing flats: 65%\nFixing flats: 66%\nFixing flats: 67%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.84s\nfailed to create fsnotify watcher: too many open files	d398ef98-1395-3a6a-bab3-e2e7301cc13b	梅溪流域-填洼（降低边缘洼地高度）-10021745	null: true; 填充: true; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 距离: 5; 输出数据: /onesis/kt4/test_data/terr/result/filledDEM2.tif; 	\N	6	\N
d937519afb6d4a41a930c7915255f37e		2024-09-30 09:14:29.046415	2024-09-30 09:13:36.240046	{"uncmap":"/onesis/kt4/test_data/interp/results/zxh_org_uncer.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","slope":"/onesis/kt4/test_data/interp/slope_25.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","dem":"/onesis/kt4/test_data/interp/dem_25.tif","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09300913	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; 空间推测不确定性: /onesis/kt4/test_data/interp/results/zxh_org_uncer.tif; 	\N	7	\N
1e4fa6ff104840c9ba1bc6fecc79071d	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:47:29.366993	2024-09-29 19:47:26.184414	{"sca":"/onesis/kt4/test_data/terr/terr/result/acc_d8.tif","slope":"/onesis/kt4/test_data/terr/terr/result/slope.tif","exponent":"1.0","o":"/onesis/kt4/results/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09291947	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/result/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/result/slope.tif; 输出栅格文件: /onesis/kt4/results/10_1_1.tif; 	\N	6	\N
5b4f1950e6ca4ead80629bd80f260065	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:33:50.727553	2024-09-29 19:33:46.599809	{"ssa":"/onesis/kt4/test_data/terr/terr/result/acc_d8.tif","src":"/onesis/kt4/results/10_1_2.tif","thresh":"100.0"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nThreshold version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/result/acc_d8.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.017649\nfailed to create fsnotify watcher: too many open files	19a662d0-b39e-35cb-a063-0e1c13ee9e6b	梅溪流域-河网提取（栅格）-09291933	阈值: 100.0; d8汇流累积量栅格: /onesis/kt4/test_data/terr/terr/result/acc_d8.tif; 提取的河网栅格: /onesis/kt4/results/10_1_2.tif; 	\N	6	\N
428a09b9379048db8e1b6994ad197585		2024-10-07 23:45:32.456576	2024-10-07 23:45:28.366792	{"i":"/onesis/kt4/test_data/terr/dem.tif","dist":"5","fill":"true","min_dist":"true","o":"/onesis/kt4/job_results/10-1-4.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*****************************************\n* Welcome to BreachDepressionsLeastCost *\n* Powered by WhiteboxTools              *\n* www.whiteboxgeo.com                   *\n*****************************************\nReading data...\nFinding pits: 0%\nFinding pits: 1%\nFinding pits: 2%\nFinding pits: 3%\nFinding pits: 4%\nFinding pits: 5%\nFinding pits: 6%\nFinding pits: 7%\nFinding pits: 8%\nFinding pits: 9%\nFinding pits: 10%\nFinding pits: 11%\nFinding pits: 12%\nFinding pits: 13%\nFinding pits: 14%\nFinding pits: 15%\nFinding pits: 16%\nFinding pits: 17%\nFinding pits: 18%\nFinding pits: 19%\nFinding pits: 20%\nFinding pits: 21%\nFinding pits: 22%\nFinding pits: 23%\nFinding pits: 24%\nFinding pits: 25%\nFinding pits: 26%\nFinding pits: 27%\nFinding pits: 28%\nFinding pits: 29%\nFinding pits: 30%\nFinding pits: 31%\nFinding pits: 32%\nFinding pits: 33%\nFinding pits: 34%\nFinding pits: 35%\nFinding pits: 36%\nFinding pits: 37%\nFinding pits: 38%\nFinding pits: 39%\nFinding pits: 40%\nFinding pits: 41%\nFinding pits: 42%\nFinding pits: 43%\nFinding pits: 44%\nFinding pits: 45%\nFinding pits: 46%\nFinding pits: 47%\nFinding pits: 48%\nFinding pits: 49%\nFinding pits: 50%\nFinding pits: 51%\nFinding pits: 52%\nFinding pits: 53%\nFinding pits: 54%\nFinding pits: 55%\nFinding pits: 56%\nFinding pits: 57%\nFinding pits: 58%\nFinding pits: 59%\nFinding pits: 60%\nFinding pits: 61%\nFinding pits: 62%\nFinding pits: 63%\nFinding pits: 64%\nFinding pits: 65%\nFinding pits: 66%\nFinding pits: 67%\nFinding pits: 68%\nFinding pits: 69%\nFinding pits: 70%\nFinding pits: 71%\nFinding pits: 72%\nFinding pits: 73%\nFinding pits: 74%\nFinding pits: 75%\nFinding pits: 76%\nFinding pits: 77%\nFinding pits: 78%\nFinding pits: 79%\nFinding pits: 80%\nFinding pits: 81%\nFinding pits: 82%\nFinding pits: 83%\nFinding pits: 84%\nFinding pits: 85%\nFinding pits: 86%\nFinding pits: 87%\nFinding pits: 88%\nFinding pits: 89%\nFinding pits: 90%\nFinding pits: 91%\nFinding pits: 92%\nFinding pits: 93%\nFinding pits: 94%\nFinding pits: 95%\nFinding pits: 96%\nFinding pits: 97%\nFinding pits: 98%\nFinding pits: 99%\nFinding pits: 100%\nBreaching: 0%\nBreaching: 1%\nBreaching: 2%\nBreaching: 3%\nBreaching: 4%\nBreaching: 5%\nBreaching: 6%\nBreaching: 7%\nBreaching: 8%\nBreaching: 9%\nBreaching: 10%\nBreaching: 11%\nBreaching: 12%\nBreaching: 13%\nBreaching: 14%\nBreaching: 15%\nBreaching: 16%\nBreaching: 17%\nBreaching: 18%\nBreaching: 19%\nBreaching: 20%\nBreaching: 21%\nBreaching: 22%\nBreaching: 23%\nBreaching: 24%\nBreaching: 25%\nBreaching: 26%\nBreaching: 27%\nBreaching: 28%\nBreaching: 29%\nBreaching: 30%\nBreaching: 31%\nBreaching: 32%\nBreaching: 33%\nBreaching: 34%\nBreaching: 35%\nBreaching: 36%\nBreaching: 37%\nBreaching: 38%\nBreaching: 39%\nBreaching: 40%\nBreaching: 41%\nBreaching: 42%\nBreaching: 43%\nBreaching: 44%\nBreaching: 45%\nBreaching: 46%\nBreaching: 47%\nBreaching: 48%\nBreaching: 49%\nBreaching: 50%\nBreaching: 51%\nBreaching: 52%\nBreaching: 53%\nBreaching: 54%\nBreaching: 55%\nBreaching: 56%\nBreaching: 57%\nBreaching: 58%\nBreaching: 59%\nBreaching: 60%\nBreaching: 61%\nBreaching: 62%\nBreaching: 63%\nBreaching: 64%\nBreaching: 65%\nBreaching: 66%\nBreaching: 67%\nBreaching: 68%\nBreaching: 69%\nBreaching: 70%\nBreaching: 71%\nBreaching: 72%\nBreaching: 73%\nBreaching: 74%\nBreaching: 75%\nBreaching: 76%\nBreaching: 77%\nBreaching: 78%\nBreaching: 79%\nBreaching: 80%\nBreaching: 81%\nBreaching: 82%\nBreaching: 83%\nBreaching: 84%\nBreaching: 85%\nBreaching: 86%\nBreaching: 87%\nBreaching: 88%\nBreaching: 89%\nBreaching: 90%\nBreaching: 91%\nBreaching: 92%\nBreaching: 93%\nBreaching: 94%\nBreaching: 95%\nBreaching: 96%\nBreaching: 97%\nBreaching: 98%\nBreaching: 99%\nBreaching: 100%\nNum. solved pits: 19689\nNum. unsolved pits: 1754\nFilling remaining depressions...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.00001\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 10%\nFixing flats: 11%\nFixing flats: 12%\nFixing flats: 13%\nFixing flats: 14%\nFixing flats: 15%\nFixing flats: 16%\nFixing flats: 17%\nFixing flats: 19%\nFixing flats: 20%\nFixing flats: 22%\nFixing flats: 23%\nFixing flats: 25%\nFixing flats: 26%\nFixing flats: 27%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 31%\nFixing flats: 33%\nFixing flats: 34%\nFixing flats: 35%\nFixing flats: 36%\nFixing flats: 37%\nFixing flats: 38%\nFixing flats: 41%\nFixing flats: 42%\nFixing flats: 43%\nFixing flats: 44%\nFixing flats: 45%\nFixing flats: 46%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 55%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 62%\nFixing flats: 63%\nFixing flats: 64%\nFixing flats: 65%\nFixing flats: 66%\nFixing flats: 69%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.83s\nfailed to create fsnotify watcher: too many open files	d398ef98-1395-3a6a-bab3-e2e7301cc13b	填洼（降低边缘洼地高度）-234526	最小距离: true; 填充: true; 输入数据: /onesis/kt4/test_data/terr/dem.tif; 距离: 5; 输出数据: /onesis/kt4/job_results/10-1-4.tif; 	\N	6	\N
ee8e4d90bfb94f24b3ffc93d01af8d77		2024-09-30 11:19:15.146713	2024-09-30 11:19:11.393882	{"z":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","fel":"/onesis/kt4/job_results/dem_meixi_fel_notebook-kt1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.056843\nData read time: 0.071616\nCompute time: 0.310047\nWrite time: 0.097277\nTotal time: 0.535783\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	code-pitRemove-181011162	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/dem_meixi_fel_notebook-kt1.tif; 	\N	6	\N
8e76f37dff2147e68649a7e35a42e89e	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 19:54:43.095647	2024-09-29 19:54:39.358695	{"sca":"/onesis/kt4/test_data/terr/terr/result/acc_d8.tif","slope":"/onesis/kt4/results/slope.tif","exponent":"1.0","o":"/onesis/kt4/results/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09291954	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/result/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/results/slope.tif; 输出栅格文件: /onesis/kt4/results/10_1_1.tif; 	\N	6	\N
b79d9435c3a6463f82ea4fe6df515e29	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:22:07.8653	2024-09-29 20:22:04.534902	{"sca":"/onesis/kt4/test_data/terr/terr/result/acc_d8.tif","slope":"/onesis/kt4/test_data/terr/terr/result/slope.tif","exponent":"1.0","o":"/onesis/kt4/test_data/terr/terr/result/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09292022	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/result/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/result/slope.tif; 输出栅格文件: /onesis/kt4/test_data/terr/terr/result/10_1_1.tif; 	\N	6	\N
c7b921a9b9ff4e08be1af980632b1aeb		2024-09-30 15:00:22.408579	2024-09-30 15:00:18.65501	{"z":"/onesis/kt4/dsm_case/dem_meixi.tif","fel":"/onesis/kt4/job_results/filled_dem.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.048657\nData read time: 0.069629\nCompute time: 0.319016\nWrite time: 0.096781\nTotal time: 0.534082\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）-09301500	数字高程模型: /onesis/kt4/dsm_case/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/filled_dem.tif; 	\N	6	\N
fc2d723bd6a648e6a0b6c08f40ceae21	e90216d682a74f59915ec2b6fa2f87c5	2024-09-30 15:04:27.004386	2024-09-30 15:04:23.126396	{"sca":"/onesis/kt4/test_data/terr/terr/result/sca_d8_dwhsmj.tif","slope":"/onesis/kt4/test_data/terr/terr/result/slope.tif","exponent":"1.0","o":"/onesis/kt4/results/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09301504	集水区指数: 1.0; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/result/slope.tif; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/result/sca_d8_dwhsmj.tif; 输出栅格文件: /onesis/kt4/results/10_1_1.tif; 	\N	6	\N
b296d0fec61e40bcabaa5d340b1433b7		2024-09-30 16:48:54.052715	2024-09-30 16:47:57.257614	{"od_input":"/onesis/kt4/test_data/interp/gtwr_pre.shp","i":"2","sample_index":"0,1,2,3,4","od_interp":"/onesis/kt4/test_data/interp/results/gtwr/","od_sample":"/onesis/kt4/test_data/interp/gtwr_example.shp","input_index":"0,1,2,3"}	t	\N	2a2352b3-e975-3d22-8813-b313195b9b8a	地理流的IDW插值-09301647	样本流文件: /onesis/kt4/test_data/interp/gtwr_example.shp; 待插值流文件: /onesis/kt4/test_data/interp/gtwr_pre.shp; 索引: 0,1,2,3,4; 索引: 0,1,2,3; 权重系数: 2; 插值结果存储路径: /onesis/kt4/test_data/interp/results/gtwr/; 	\N	7	\N
0cefba0ab3f648a5a3f592cd41eb66d0		2024-09-30 14:50:14.048262	2024-09-30 14:49:14.796171	{"a":"/onesis/kt4/test_data/regr/example_wp_log_peyton_manning.csv","b":"linear","d":"25","e":"0.8","f":"auto","g":"auto","h":"auto","j":"additive","k":"10","m":"0.05","n":"0","o":"0.8","p":"1000","q":"365","r":"day","s":"/onesis/kt4/results/","t":"TRUE"}	t	\N	be074dcf-7aac-3b0a-a138-3632f20ede97	Prophet预测-09301449	趋势拟合方法: linear; 变点个数: 25; 变点比例: 0.8; 年季节性: auto; 月季节性: auto; 日季节性: auto; 季节模型: additive; 季节性强度: 10; 趋势灵活度: 0.05; mcmc采样: 0; 趋势改变程度: 0.8; 模拟抽取数: 1000; 时间频率: day; 是否包含历史数据: TRUE; 输入数据: /onesis/kt4/test_data/regr/example_wp_log_peyton_manning.csv; 预测周期数: 365; 结果路径: /onesis/kt4/results/; 	\N	7	\N
d7edb91c181a412aaeca3853145002f1	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:18:56.821693	2024-09-29 20:18:52.968681	{"out_type":"cells","pntr":"false","i":"/onesis/kt4/test_data/terr/terr/d8.tif","esri_pntr":"false","o":"/onesis/kt4/test_data/terr/terr/result/sca_d8_dwhsmj.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nFlow directions: 0%\nFlow directions: 1%\nFlow directions: 2%\nFlow directions: 3%\nFlow directions: 4%\nFlow directions: 5%\nFlow directions: 6%\nFlow directions: 7%\nFlow directions: 8%\nFlow directions: 9%\nFlow directions: 10%\nFlow directions: 11%\nFlow directions: 12%\nFlow directions: 13%\nFlow directions: 14%\nFlow directions: 15%\nFlow directions: 16%\nFlow directions: 17%\nFlow directions: 18%\nFlow directions: 19%\nFlow directions: 20%\nFlow directions: 21%\nFlow directions: 22%\nFlow directions: 23%\nFlow directions: 24%\nFlow directions: 25%\nFlow directions: 26%\nFlow directions: 27%\nFlow directions: 28%\nFlow directions: 29%\nFlow directions: 30%\nFlow directions: 31%\nFlow directions: 32%\nFlow directions: 33%\nFlow directions: 34%\nFlow directions: 35%\nFlow directions: 36%\nFlow directions: 37%\nFlow directions: 38%\nFlow directions: 39%\nFlow directions: 40%\nFlow directions: 41%\nFlow directions: 42%\nFlow directions: 43%\nFlow directions: 44%\nFlow directions: 45%\nFlow directions: 46%\nFlow directions: 47%\nFlow directions: 48%\nFlow directions: 49%\nFlow directions: 50%\nFlow directions: 51%\nFlow directions: 52%\nFlow directions: 53%\nFlow directions: 54%\nFlow directions: 55%\nFlow directions: 56%\nFlow directions: 57%\nFlow directions: 58%\nFlow directions: 59%\nFlow directions: 60%\nFlow directions: 61%\nFlow directions: 62%\nFlow directions: 63%\nFlow directions: 64%\nFlow directions: 65%\nFlow directions: 66%\nFlow directions: 67%\nFlow directions: 68%\nFlow directions: 69%\nFlow directions: 70%\nFlow directions: 71%\nFlow directions: 72%\nFlow directions: 73%\nFlow directions: 74%\nFlow directions: 75%\nFlow directions: 76%\nFlow directions: 77%\nFlow directions: 78%\nFlow directions: 79%\nFlow directions: 80%\nFlow directions: 81%\nFlow directions: 82%\nFlow directions: 83%\nFlow directions: 84%\nFlow directions: 85%\nFlow directions: 86%\nFlow directions: 87%\nFlow directions: 88%\nFlow directions: 89%\nFlow directions: 90%\nFlow directions: 91%\nFlow directions: 92%\nFlow directions: 93%\nFlow directions: 94%\nFlow directions: 95%\nFlow directions: 96%\nFlow directions: 97%\nFlow directions: 98%\nFlow directions: 99%\nFlow directions: 100%\nNum. inflowing neighbours: 0%\nNum. inflowing neighbours: 1%\nNum. inflowing neighbours: 2%\nNum. inflowing neighbours: 3%\nNum. inflowing neighbours: 4%\nNum. inflowing neighbours: 5%\nNum. inflowing neighbours: 6%\nNum. inflowing neighbours: 7%\nNum. inflowing neighbours: 8%\nNum. inflowing neighbours: 9%\nNum. inflowing neighbours: 10%\nNum. inflowing neighbours: 11%\nNum. inflowing neighbours: 12%\nNum. inflowing neighbours: 13%\nNum. inflowing neighbours: 14%\nNum. inflowing neighbours: 15%\nNum. inflowing neighbours: 16%\nNum. inflowing neighbours: 17%\nNum. inflowing neighbours: 18%\nNum. inflowing neighbours: 19%\nNum. inflowing neighbours: 20%\nNum. inflowing neighbours: 21%\nNum. inflowing neighbours: 22%\nNum. inflowing neighbours: 23%\nNum. inflowing neighbours: 24%\nNum. inflowing neighbours: 25%\nNum. inflowing neighbours: 26%\nNum. inflowing neighbours: 27%\nNum. inflowing neighbours: 28%\nNum. inflowing neighbours: 29%\nNum. inflowing neighbours: 30%\nNum. inflowing neighbours: 31%\nNum. inflowing neighbours: 32%\nNum. inflowing neighbours: 33%\nNum. inflowing neighbours: 34%\nNum. inflowing neighbours: 35%\nNum. inflowing neighbours: 36%\nNum. inflowing neighbours: 37%\nNum. inflowing neighbours: 38%\nNum. inflowing neighbours: 39%\nNum. inflowing neighbours: 40%\nNum. inflowing neighbours: 41%\nNum. inflowing neighbours: 42%\nNum. inflowing neighbours: 43%\nNum. inflowing neighbours: 44%\nNum. inflowing neighbours: 45%\nNum. inflowing neighbours: 46%\nNum. inflowing neighbours: 47%\nNum. inflowing neighbours: 48%\nNum. inflowing neighbours: 49%\nNum. inflowing neighbours: 50%\nNum. inflowing neighbours: 51%\nNum. inflowing neighbours: 52%\nNum. inflowing neighbours: 53%\nNum. inflowing neighbours: 54%\nNum. inflowing neighbours: 55%\nNum. inflowing neighbours: 56%\nNum. inflowing neighbours: 57%\nNum. inflowing neighbours: 58%\nNum. inflowing neighbours: 59%\nNum. inflowing neighbours: 60%\nNum. inflowing neighbours: 61%\nNum. inflowing neighbours: 62%\nNum. inflowing neighbours: 63%\nNum. inflowing neighbours: 64%\nNum. inflowing neighbours: 65%\nNum. inflowing neighbours: 66%\nNum. inflowing neighbours: 67%\nNum. inflowing neighbours: 68%\nNum. inflowing neighbours: 69%\nNum. inflowing neighbours: 70%\nNum. inflowing neighbours: 71%\nNum. inflowing neighbours: 72%\nNum. inflowing neighbours: 73%\nNum. inflowing neighbours: 74%\nNum. inflowing neighbours: 75%\nNum. inflowing neighbours: 76%\nNum. inflowing neighbours: 77%\nNum. inflowing neighbours: 78%\nNum. inflowing neighbours: 79%\nNum. inflowing neighbours: 80%\nNum. inflowing neighbours: 81%\nNum. inflowing neighbours: 82%\nNum. inflowing neighbours: 83%\nNum. inflowing neighbours: 84%\nNum. inflowing neighbours: 85%\nNum. inflowing neighbours: 86%\nNum. inflowing neighbours: 87%\nNum. inflowing neighbours: 88%\nNum. inflowing neighbours: 89%\nNum. inflowing neighbours: 90%\nNum. inflowing neighbours: 91%\nNum. inflowing neighbours: 92%\nNum. inflowing neighbours: 93%\nNum. inflowing neighbours: 94%\nNum. inflowing neighbours: 95%\nNum. inflowing neighbours: 96%\nNum. inflowing neighbours: 97%\nNum. inflowing neighbours: 98%\nNum. inflowing neighbours: 99%\nNum. inflowing neighbours: 100%\nFlow accumulation: 72%\nFlow accumulation: 73%\nFlow accumulation: 74%\nFlow accumulation: 75%\nFlow accumulation: 76%\nFlow accumulation: 77%\nFlow accumulation: 78%\nFlow accumulation: 79%\nFlow accumulation: 80%\nFlow accumulation: 81%\nFlow accumulation: 82%\nFlow accumulation: 83%\nFlow accumulation: 84%\nFlow accumulation: 85%\nFlow accumulation: 86%\nFlow accumulation: 87%\nFlow accumulation: 88%\nFlow accumulation: 89%\nFlow accumulation: 90%\nFlow accumulation: 91%\nFlow accumulation: 92%\nFlow accumulation: 93%\nFlow accumulation: 94%\nFlow accumulation: 95%\nFlow accumulation: 96%\nFlow accumulation: 97%\nFlow accumulation: 98%\nFlow accumulation: 99%\nFlow accumulation: 100%\nCorrecting values: 0%\nCorrecting values: 1%\nCorrecting values: 2%\nCorrecting values: 3%\nCorrecting values: 4%\nCorrecting values: 5%\nCorrecting values: 6%\nCorrecting values: 7%\nCorrecting values: 8%\nCorrecting values: 9%\nCorrecting values: 10%\nCorrecting values: 11%\nCorrecting values: 12%\nCorrecting values: 13%\nCorrecting values: 14%\nCorrecting values: 15%\nCorrecting values: 16%\nCorrecting values: 17%\nCorrecting values: 18%\nCorrecting values: 19%\nCorrecting values: 20%\nCorrecting values: 21%\nCorrecting values: 22%\nCorrecting values: 23%\nCorrecting values: 24%\nCorrecting values: 25%\nCorrecting values: 26%\nCorrecting values: 27%\nCorrecting values: 28%\nCorrecting values: 29%\nCorrecting values: 30%\nCorrecting values: 31%\nCorrecting values: 32%\nCorrecting values: 33%\nCorrecting values: 34%\nCorrecting values: 35%\nCorrecting values: 36%\nCorrecting values: 37%\nCorrecting values: 38%\nCorrecting values: 39%\nCorrecting values: 40%\nCorrecting values: 41%\nCorrecting values: 42%\nCorrecting values: 43%\nCorrecting values: 44%\nCorrecting values: 45%\nCorrecting values: 46%\nCorrecting values: 47%\nCorrecting values: 48%\nCorrecting values: 49%\nCorrecting values: 50%\nCorrecting values: 51%\nCorrecting values: 52%\nCorrecting values: 53%\nCorrecting values: 54%\nCorrecting values: 55%\nCorrecting values: 56%\nCorrecting values: 57%\nCorrecting values: 58%\nCorrecting values: 59%\nCorrecting values: 60%\nCorrecting values: 61%\nCorrecting values: 62%\nCorrecting values: 63%\nCorrecting values: 64%\nCorrecting values: 65%\nCorrecting values: 66%\nCorrecting values: 67%\nCorrecting values: 68%\nCorrecting values: 69%\nCorrecting values: 70%\nCorrecting values: 71%\nCorrecting values: 72%\nCorrecting values: 73%\nCorrecting values: 74%\nCorrecting values: 75%\nCorrecting values: 76%\nCorrecting values: 77%\nCorrecting values: 78%\nCorrecting values: 79%\nCorrecting values: 80%\nCorrecting values: 81%\nCorrecting values: 82%\nCorrecting values: 83%\nCorrecting values: 84%\nCorrecting values: 85%\nCorrecting values: 86%\nCorrecting values: 87%\nCorrecting values: 88%\nCorrecting values: 89%\nCorrecting values: 90%\nCorrecting values: 91%\nCorrecting values: 92%\nCorrecting values: 93%\nCorrecting values: 94%\nCorrecting values: 95%\nCorrecting values: 96%\nCorrecting values: 97%\nCorrecting values: 98%\nCorrecting values: 99%\nCorrecting values: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.67s\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	梅溪流域-汇流累积量_D8（单位汇水面积）-09292018	输出类型: cells; 输入栅格格式: false; 输入D8方向文件: false; 输入数据: /onesis/kt4/test_data/terr/terr/d8.tif; 输出数据: /onesis/kt4/test_data/terr/terr/result/sca_d8_dwhsmj.tif; 	\N	6	\N
7de7d2acbd8d4ec78583649d7e2440ea	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:07:40.593154	2024-09-29 20:07:36.843445	{"output":"/onesis/kt4/results/10_2_4.tif","input":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n0...10...20...30...40...50...60...70...80...90...100 - done.\nfailed to create fsnotify watcher: too many open files	12be6742-a84b-39b6-af14-b0b30ed1e408	梅溪流域-地形起伏度-09292007	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 地形起伏栅格: /onesis/kt4/results/10_2_4.tif; 	\N	6	\N
acd80a875a8c45e1bb7057f287369fcf	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:04:02.241411	2024-09-29 20:03:56.496255	{"sd8":"/onesis/kt4/test_data/terr/result/10_2_3.tif","fel":"/onesis/kt4/test_data/terr/terr/filledDEM.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/filledDEM.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/test_data/terr/result/10_2_3.tif' failed: No error information\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetProjection'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetGeoTransform'.\n\nRaterIO trouble: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALGetRasterBand'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALSetRasterNoDataValue'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALFlushCache'.\n\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.041652\nData read time: 0.131178\nCompute Slope time: 0.225367\nWrite Slope time: 0.009320\nResolve Flat time: 1.578507\nWrite Flat time: 0.037141\nTotal time: 2.023165\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	梅溪流域-坡度（最大下坡）-09292003	数字高程模型: /onesis/kt4/test_data/terr/terr/filledDEM.tif; 坡度栅格: /onesis/kt4/test_data/terr/result/10_2_3.tif; 	\N	6	\N
ea6c243123a1472888e0d973edfef259	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:14:16.852918	2024-09-29 20:13:57.435216	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","METHOD":"0","RESULT":"/onesis/kt4/results/10_2_8.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n____________________________\n\n   #####   ##   #####    ##\n  ###     ###  ##       ###\n   ###   # ## ##  #### # ##\n    ### ##### ##    # #####\n ##### #   ##  ##### #   ##\n____________________________\n\nSAGA Version: 8.1.0\n\n____________________________\nlibrary path: /usr/local/lib/saga/\nlibrary name: libta_morphometry\nlibrary     : ta_morphometry\ntool        : Convergence Index\nidentifier  : 1\nauthor      : O.Conrad (c) 2001\nprocessors  : 8 [8]\n____________________________\n\nloading: dem_meixi\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%[Convergence Index] Execution started...\n\n__________\n[Convergence Index] Parameters:\n\nGrid System: 0.000285; 1440x 1322y; 118.495219x 25.891023y\nElevation: dem_meixi\nConvergence Index: Convergence Index\nMethod: Aspect\nGradient Calculation: 2 x 2\n\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\r101%\n__________\ntotal execution time: 0 milliseconds (less than 1 millisecond)\n\n[Convergence Index] Execution succeeded (less than 1 millisecond)\nSaving grid: /data/onesis/kt4/results/10_2_8.tif...\nExport GeoTIFF\n\n__________\n[Export GeoTIFF] Parameters:\n\nGrid System: 0.000285; 1440x 1322y; 118.495219x 25.891023y\nGrid(s): 1 object (10_2_8)\nFile: /data/onesis/kt4/results/10_2_8.tif\nCreation Options: \n\nBand 1\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\n[Export GeoTIFF] execution time: less than 1 millisecond\nokay\nfailed to create fsnotify watcher: too many open files	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	梅溪流域-地形汇聚指数-09292013	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 地形结构指数: /onesis/kt4/results/10_2_8.tif; 	\N	6	\N
9215f465745f4dabace2846b199f0b9e	e90216d682a74f59915ec2b6fa2f87c5	2024-09-29 20:20:26.773095	2024-09-29 20:20:23.92097	{"sca":"/onesis/kt4/test_data/terr/terr/result/sca_d8_dwhsmj.tif","slope":"/onesis/kt4/test_data/terr/terr/result/slope.tif","exponent":"1.0","o":"/onesis/kt4/results/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09292020	集水区指数: 1.0; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/result/slope.tif; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/result/sca_d8_dwhsmj.tif; 输出栅格文件: /onesis/kt4/results/10_1_1.tif; 	\N	6	\N
30771cc2168d4ba290197d972a2fca23		2024-10-10 09:05:44.757825	2024-10-10 09:05:27.062279	{"p":"/onesis/kt4/results/p1844182420501430272.tif","ad8":"/onesis/kt4/results/ad81844182420555956224.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1844182420501430272.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.099857\nCompute time: 0.300221\nWrite time: 0.086947\nTotal time: 0.487025\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844182420501430272.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844182420555956224.tif; 	\N	6	239f977e-4093-42f5-bf68-7581b6709ab5
3c80621dcee34ff79c9867871920573b		2024-09-30 14:57:43.037069	2024-09-30 14:56:49.607525	{"simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/xc_test.tif","sample":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","dem":"/onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif","target":"SOMB"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301456	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 待推测土壤属性: SOMB; DEM栅格: /onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/xc_test.tif; 	\N	7	\N
6cfc552abc134f66a9f9eabf028ad653		2024-09-30 14:38:48.038103	2024-09-30 14:37:55.79105	{"uncmap":"/onesis/kt4/test_data/interp/results/zxh_org_uncer.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","slope":"/onesis/kt4/test_data/interp/slope_25.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","dem":"/onesis/kt4/test_data/interp/dem_25.tif","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301437	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; 空间推测不确定性: /onesis/kt4/test_data/interp/results/zxh_org_uncer.tif; 	\N	7	\N
e4db6414955d4acdbb7d7f040f54797b		2024-09-30 14:45:31.035063	2024-09-30 14:44:38.077353	{"simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/sdf.tif","sample":"/onesis/kt4/results/result_acf.csv","dem":"/onesis/kt4/dem/slope.tif","target":"hjk"}	t	Pod Status: Pending\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nmpiexec: Error: unknown option "-a"\nType 'mpiexec --help' for usage.\nfailed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301444	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/results/result_acf.csv; 待推测土壤属性: hjk; DEM栅格: /onesis/kt4/dem/slope.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/sdf.tif; 	\N	7	\N
2a2c3b50d8d9476c96aa170f68ff1d99		2024-09-30 14:54:59.048554	2024-09-30 14:54:05.53489	{"uncmap":"/onesis/kt4/test_data/interp/results/zxh_org_uncer.tif","aspect":"/onesis/kt4/test_data/interp/slope_25.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","dem":"/onesis/kt4/test_data/interp/dem_25.tif","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301454	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 坡向: /onesis/kt4/test_data/interp/slope_25.tif; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; 空间推测不确定性: /onesis/kt4/test_data/interp/results/zxh_org_uncer.tif; 	\N	7	\N
4c6394d7cce946c48cb01422ba5f7e22		2024-09-29 20:51:25.853072	2024-09-29 20:51:15.36236	{"r":"/onesis/kt4/results/","i":"/onesis/kt4/test_data/statis/timeseries_data.csv"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	8eced574-e8d9-372d-bf34-edbcee5675ba	时序自相关-09292050	输入数据: /onesis/kt4/test_data/statis/timeseries_data.csv; 输出路径: /onesis/kt4/results/; 	\N	6	\N
20c0106b129c43478ba92f04feae4d0c	e90216d682a74f59915ec2b6fa2f87c5	2024-09-30 12:51:37.643064	2024-09-30 12:51:34.24714	{"sca":"/onesis/kt4/test_data/terr/terr/acc_d8.tif","slope":"/onesis/kt4/test_data/terr/terr/result/slope.tif","exponent":"1.0","o":"/onesis/kt4/results/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09301251	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/result/slope.tif; 输出栅格文件: /onesis/kt4/results/10_1_1.tif; 	\N	6	\N
3649c7764dd44ade9f26847779f89870		2024-09-30 14:44:05.037417	2024-09-30 14:43:12.548114	{"simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/test.tif","dem":"/onesis/kt4/dem/slope.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301443	不确定性阈值参数: 0.3; DEM栅格: /onesis/kt4/dem/slope.tif; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/test.tif; 	\N	7	\N
dce8bb75d6d1484984e5fdd3367ab93b		2024-09-30 14:40:18.039601	2024-09-30 14:39:25.799313	{"simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301439	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; 	\N	7	\N
cd4a7ef925b0428cbe97a591bbb2e5f7		2024-09-30 16:59:48.039519	2024-09-30 16:58:37.897071	{"dLon_index":"4","dLat_index":"5","od":"/onesis/kt4/test_data/cluster/ODflow_taxi.csv","oLat_index":"2","odcluster":"/onesis/kt4/test_data/cluster/flowkmeans_res/","k":"4","id_index":"0","oLon_index":"1"}	t	Pod Status: Failed\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-kmeans --class com.igsnrr.toolbox.flow.KClu.KMeansRunner --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-kmeans --class com.igsnrr.toolbox.flow.KClu.KMeansRunner --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar /data/onesis/kt4/test_data/cluster/ODflow_taxi.csv /data/onesis/kt4/test_data/cluster/flowkmeans_res/ 0 1 2 4 5 4\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/09/30 08:58:40 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nException in thread "main" org.apache.spark.sql.AnalysisException: path file:/data/onesis/kt4/test_data/cluster/flowkmeans_res already exists.\n\tat org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:122)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:131)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\n\tat org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)\n\tat org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)\n\tat org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)\n\tat org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)\n\tat org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)\n\tat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)\n\tat org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)\n\tat org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)\n\tat org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)\n\tat org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:979)\n\tat com.igsnrr.toolbox.flow.KClu.KMeansRunner$.main(KMeans.scala:192)\n\tat com.igsnrr.toolbox.flow.KClu.KMeansRunner.main(KMeans.scala)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)\n\tat java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)\n\tat java.base/java.lang.reflect.Method.invoke(Unknown Source)\n\tat org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\n\tat org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)\n\tat org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)\n\tat org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)\n\tat org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)\n\tat org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)\n\tat org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)\n\tat org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)\nfailed to create fsnotify watcher: too many open files	a8fc6650-aba7-3955-8e5e-448a2e60f117	地理流的Kmeans聚类-09301658	流数据文件: /onesis/kt4/test_data/cluster/ODflow_taxi.csv; 索引: 0; 索引: 1; 索引: 2; 索引: 4; 索引: 5; K值: 4; 流聚类结果存储路径: /onesis/kt4/test_data/cluster/flowkmeans_res/; 	\N	7	\N
296b6f31f95b475196d0abe4c6d19ccd		2024-09-30 16:57:07.048337	2024-09-30 16:56:06.972897	{"dLon_index":"3","cluster_id":"5","dLat_index":"4","oLat_index":"2","center":"/onesis/kt4/test_data/cluster/calcen_result/","odcluster":"/onesis/kt4/test_data/cluster/ODflow_cluster.csv","id_index":"0","oLon_index":"1"}	t	\N	3d307f2c-2101-31d9-922f-d057b3d2ac94	地理流的聚类中心计算-09301656	流聚类文件: /onesis/kt4/test_data/cluster/ODflow_cluster.csv; 索引: 0; 索引: 1; 索引: 2; 索引: 3; 索引: 4; 索引: 5; 聚类中心计算结果: /onesis/kt4/test_data/cluster/calcen_result/; 	\N	7	\N
fee64fffdc29415ebba8a78d22ac10d1		2024-09-30 15:13:17.034215	2024-09-30 15:12:23.791417	{"simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/xc_test.tif","sample":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","dem":"/onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif","target":"SOMB"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301512	土壤样点: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 待推测土壤属性: SOMB; DEM栅格: /onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/xc_test.tif; 	\N	7	\N
f5fd3dbc126044e996dfea1acda616f0		2024-09-30 16:58:42.042308	2024-09-30 16:57:43.567484	{"dLon_index":"3","cluster_id":"5","dLat_index":"4","oLat_index":"2","center":"/onesis/kt4/test_data/cluster/calcen_result/","odcluster":"/onesis/kt4/test_data/cluster/ODflow_cluster.csv","id_index":"0","oLon_index":"1"}	t	\N	3d307f2c-2101-31d9-922f-d057b3d2ac94	地理流的聚类中心计算-09301657	流聚类文件: /onesis/kt4/test_data/cluster/ODflow_cluster.csv; 索引: 0; 索引: 1; 索引: 2; 索引: 3; 索引: 4; 索引: 5; 聚类中心计算结果: /onesis/kt4/test_data/cluster/calcen_result/; 	\N	7	\N
528a40ba37b74de5a797523360268661		2024-10-08 11:33:25.522499	2024-10-08 09:53:31.601232	{"ELEVATION":"/onesis/kt4/job_results/fel1843469741700808704.tif","RESULT":"/onesis/kt4/job_results/RESULT1843469742468366336.tif"}	f	\N	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	数字高程模型: /onesis/kt4/job_results/fel1843469741700808704.tif; 地形结构指数: /onesis/kt4/job_results/RESULT1843469742468366336.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
d83e3a5c13ba4fc588affd5df808b2f8		2024-09-30 16:10:08.087272	2024-09-30 16:10:03.307161	{"uncmap":"/onesis/kt4/results/2.tif","simithred":"0.3","predmap":"/onesis/kt4/job_results/1.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org","inlayer":"/onesis/kt4/test_data/interp/slope_25.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif/data/onesis/kt4/test_data/interp/slope_25.tif\nLoading data ...\nTransformation operator() function called.\ncompute layer size: 27 43\nrank 0. avg compt load: 28462\n\nRunning prediction method 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19.7%\rCompleted  19.8%\rCompleted  19.9%\rCompleted    20%\rCompleted    20%\rCompleted  20.1%\rCompleted  20.2%\rCompleted  20.3%\rCompleted  20.4%\rCompleted  20.5%\rCompleted  20.6%\rCompleted  20.7%\rCompleted  20.8%\rCompleted  20.9%\rCompleted    21%\rCompleted  21.1%\rCompleted  21.2%\rCompleted  21.3%\rCompleted  21.4%\rCompleted  21.5%\rCompleted  21.6%\rCompleted  21.7 15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted  16.1%\rCompleted  16.2%\rCompleted  16.3%\rCompleted  16.4%\rCompleted  16.5%\rCompleted  16.6%\rCompleted  16.7%\rCompleted  16.8%\rCompleted  16.9%\rCompleted    17%\rCompleted  17.1%\rCompleted  17.2%\rCompleted  17.3%\rCompleted  17.4%\rCompleted  17.5%\rCompleted  17.6%\rCompleted  17.7%\rCompleted  17.8%\rCompleted  17.9%\rCompleted    18%\rCompleted  18.1%\rCompleted  18.2%\rCompleted  18.3%\rCompleted  18.4%\rCompleted  18.5%\rCompleted  18.6%\rCompleted  18.7%\rCompleted  18.8%\rCompleted  18.9%\rCompleted    19%\rCompleted  19.1%\rCompleted  19.2%\rCompleted  19.3%\rCompleted  19.4%\rCompleted  19.5%\rCompleted  19.6%\rCompleted  19.7%\rCompleted  19.8%\rCompleted  19.9%\rCompleted    20%\rCompleted    20%\rCompleted  20.1%\rCompleted  20.2%\rCompleted  20.3%\rCompleted  20.4%\rCompleted  20.5%\rCompleted  20.6%\rCompleted  20.7%\rCompleted  20.8%\rCompleted  20.9%\rCompleted    21%\rCompleted  21.1%\rCompleted  21.2%\rCompleted  21.3%\rCompleted  21.4%\rCompleted  21.5%\rCompleted  21.6%\rCompleted  21.7%\rCompleted    24%\rCompleted  24.1%\rCompleted  24.2%\rCompleted  24.3%\rCompleted  24.4%\rCompleted  24.5%\rCompleted  24.6%\rCompleted  24.7%\rCompleted  24.8%\rCompleted  24.9%\rCompleted    25%\rCompleted  25.1%\rCompleted  25.2%\rCompleted  25.3%\rCompleted  25.4%\rCompleted  25.5%\rCompleted   100%\nWrite out result ...\n\nProcesses:4\n    Read time:1.036601\n    Compute time:0.107077\n    Write time:0.000000\n%\rCompleted  21.8%\rCompleted  21.9%\rCompleted    22%\rCompleted  22.1%\rCompleted  22.2%\rCompleted  22.3%\rCompleted  22.4%\rCompleted  22.5%\rCompleted   100%%\rCompleted  21.8%\rCompleted  21.9%\rCompleted    22%\rCompleted  22.1%\rCompleted  22.2%\rCompleted  22.3%\rCompleted  22.4%\rCompleted  22.5%\rCompleted  22.6%\rCompleted  22.7%\rCompleted  22.8%\rCompleted  22.9%\rCompleted    23%\rCompleted  23.1%\rCompleted  23.2%\rCompleted  23.3%\rCompleted  23.4%\rCompleted  23.5%\rCompleted  23.6%\rCompleted  23.7%\rCompleted  23.8%\rCompleted  23.9%\rCompleted    24%\rCompleted  24.1%\rCompleted  24.2%\rCompleted  24.3%\rCompleted  24.4%\rCompleted  24.5%\rCompleted  24.6%\rCompleted  24.7%\rCompleted  24.8%\rCompleted  24.9%\rCompleted    25%\rCompleted  25.1%\rCompleted  25.2%\rCompleted  25.3%\rCompleted  25.4%\rCompleted  25.5%\rCompleted  25.6%\rCompleted  25.7%\rCompleted  25.8%\rCompleted  25.9%\rCompleted   100%%\rCompleted  21.8%\rCompleted  21.9%\rCompleted    22%\rCompleted  22.1%\rCompleted  22.2%\rCompleted  22.3%\rCompleted  22.4%\rCompleted  22.5%\rCompleted  22.6%\rCompleted  22.7%\rCompleted  22.8%\rCompleted  22.9%\rCompleted    23%\rCompleted  23.1%\rCompleted  23.2%\rCompleted  23.3%\rCompleted  23.4%\rCompleted  23.5%\rCompleted  23.6%\rCompleted  23.7%\rCompleted  23.8%\rCompleted  23.9%\rCompleted    24%\rCompleted  24.1%\rCompleted  24.2%\rCompleted  24.3%\rCompleted  24.4%\rCompleted  24.5%\rCompleted  24.6%\rCompleted  24.7%\rCompleted  24.8%\rCompleted  24.9%\rCompleted    25%\rCompleted  25.1%\rCompleted  25.2%\rCompleted  25.3%\rCompleted  25.4%\rCompleted  25.5%\rCompleted  25.6%\rCompleted  25.7%\rCompleted  25.8%\rCompleted  25.9%\rCompleted   100%failed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09301610	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; 地形湿度指数: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/job_results/1.tif; 空间推测不确定性: /onesis/kt4/results/2.tif; 	\N	6	\N
101350165bf8428380fd16b0eba9ff6e	e90216d682a74f59915ec2b6fa2f87c5	2024-09-30 15:10:52.078562	2024-09-30 15:10:48.667977	{"sca":"/onesis/kt4/test_data/terr/terr/acc_d8.tif","slope":"/onesis/kt4/test_data/terr/terr/slope_degree.tif","exponent":"1.0","o":"/onesis/kt4/test_data/terr/terr/result/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09301510	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/slope_degree.tif; 输出栅格文件: /onesis/kt4/test_data/terr/terr/result/10_1_1.tif; 	\N	6	\N
098b7ebff3d94d9693aa6ed06a7c6821	e90216d682a74f59915ec2b6fa2f87c5	2024-09-30 16:08:29.956099	2024-09-30 16:08:26.742946	{"sca":"/onesis/kt4/test_data/terr/terr/acc_d8.tif","slope":"/onesis/kt4/test_data/terr/terr/slope_degree.tif","exponent":"1.0","o":"/onesis/kt4/results/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09301608	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/slope_degree.tif; 输出栅格文件: /onesis/kt4/results/10_1_1.tif; 	\N	6	\N
57df761ac3434c80a4cd2753fd27d67c		2024-09-30 16:56:01.040355	2024-09-30 16:55:00.697373	{"dLon_index":"4","cluster_id":"4","dLat_index":"5","oLat_index":"3","center":"/onesis/kt4/test_data/cluster/flowkmeans_res/","odcluster":"/onesis/kt4/test_data/cluster/ODflow_taxi.csv","id_index":"0","oLon_index":"2"}	t	Pod Status: Running\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-calcenter --class com.igsnrr.toolbox.flow.utils.CalCenter --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-calcenter --class com.igsnrr.toolbox.flow.utils.CalCenter --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_Kmeans/Flow_Kmeans.jar /data/onesis/kt4/test_data/cluster/ODflow_taxi.csv /data/onesis/kt4/test_data/cluster/flowkmeans_res/ 0 2 3 4 5 4\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/09/30 08:55:02 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nException in thread "main" org.apache.spark.sql.AnalysisException: path file:/data/onesis/kt4/test_data/cluster/flowkmeans_res already exists.\n\tat org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:122)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:131)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\n\tat org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)\n\tat org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)\n\tat org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)\n\tat org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)\n\tat org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)\n\tat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)\n\tat org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)\n\tat org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)\n\tat org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)\n\tat org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:979)\n\tat com.igsnrr.toolbox.flow.utils.CalCenter$.main(CalCenter.scala:71)\n\tat com.igsnrr.toolbox.flow.utils.CalCenter.main(CalCenter.scala)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)\n\tat java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)\n\tat java.base/java.lang.reflect.Method.invoke(Unknown Source)\n\tat org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\n\tat org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)\n\tat org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)\n\tat org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)\n\tat org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)\n\tat org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)\n\tat org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)\n\tat org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)\nfailed to create fsnotify watcher: too many open files	3d307f2c-2101-31d9-922f-d057b3d2ac94	地理流的聚类中心计算-09301655	流聚类文件: /onesis/kt4/test_data/cluster/ODflow_taxi.csv; 索引: 0; 索引: 2; 索引: 3; 索引: 4; 索引: 5; 索引: 4; 聚类中心计算结果: /onesis/kt4/test_data/cluster/flowkmeans_res/; 	\N	7	\N
757e8715dbe9448683a3539d2270dac9	e90216d682a74f59915ec2b6fa2f87c5	2024-09-30 19:54:18.032259	2024-09-30 19:54:13.655225	{"sca":"/onesis/kt4/test_data/terr/terr/acc_d8.tif","slope":"/onesis/kt4/test_data/terr/terr/slope_degree.tif","exponent":"1.0","o":"/onesis/kt4/test_data/terr/terr/result/10_1_1.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to StreamPowerIndex *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nProgress: 0%\nProgress: 1%\nProgress: 2%\nProgress: 3%\nProgress: 4%\nProgress: 5%\nProgress: 6%\nProgress: 7%\nProgress: 8%\nProgress: 9%\nProgress: 10%\nProgress: 11%\nProgress: 12%\nProgress: 13%\nProgress: 14%\nProgress: 15%\nProgress: 16%\nProgress: 17%\nProgress: 18%\nProgress: 19%\nProgress: 20%\nProgress: 21%\nProgress: 22%\nProgress: 23%\nProgress: 24%\nProgress: 25%\nProgress: 26%\nProgress: 27%\nProgress: 28%\nProgress: 29%\nProgress: 30%\nProgress: 31%\nProgress: 32%\nProgress: 33%\nProgress: 34%\nProgress: 35%\nProgress: 36%\nProgress: 37%\nProgress: 38%\nProgress: 39%\nProgress: 40%\nProgress: 41%\nProgress: 42%\nProgress: 43%\nProgress: 44%\nProgress: 45%\nProgress: 46%\nProgress: 47%\nProgress: 48%\nProgress: 49%\nProgress: 50%\nProgress: 51%\nProgress: 52%\nProgress: 53%\nProgress: 54%\nProgress: 55%\nProgress: 56%\nProgress: 57%\nProgress: 58%\nProgress: 59%\nProgress: 60%\nProgress: 61%\nProgress: 62%\nProgress: 63%\nProgress: 64%\nProgress: 65%\nProgress: 66%\nProgress: 67%\nProgress: 68%\nProgress: 69%\nProgress: 70%\nProgress: 71%\nProgress: 72%\nProgress: 73%\nProgress: 74%\nProgress: 75%\nProgress: 76%\nProgress: 77%\nProgress: 78%\nProgress: 79%\nProgress: 80%\nProgress: 81%\nProgress: 82%\nProgress: 83%\nProgress: 84%\nProgress: 85%\nProgress: 86%\nProgress: 87%\nProgress: 88%\nProgress: 89%\nProgress: 90%\nProgress: 91%\nProgress: 92%\nProgress: 93%\nProgress: 94%\nProgress: 95%\nProgress: 96%\nProgress: 97%\nProgress: 98%\nProgress: 99%\nProgress: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.22s\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	梅溪流域-水流功率指数-09301954	集水区指数: 1.0; 输入单位汇水面积 sca 文件: /onesis/kt4/test_data/terr/terr/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/slope_degree.tif; 输出栅格文件: /onesis/kt4/test_data/terr/terr/result/10_1_1.tif; 	\N	6	\N
334d2676550643a281efa39153a01c79		2024-10-08 09:53:35.717509	2024-10-08 09:53:31.623245	{"z":"/onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif","fel":"/onesis/kt4/job_results/fel1843469741700808704.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.031728\nData read time: 0.096404\nCompute time: 0.165953\nWrite time: 0.067222\nTotal time: 0.361308\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/dsm_case/xuancheng/dem_xc_900913.tif; 数字高程模型: /onesis/kt4/job_results/fel1843469741700808704.tif; 	\N	6	41b0fef0-0acc-4839-816f-811c8eea8107
f7872f00fe324205a30aa3d8be1acf65		2024-10-10 21:27:12.953837	2024-10-10 21:27:00.307203	{"fel":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif","plan":"/onesis/kt4/dsm_case/result/plan1844369037941932032.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.213305\nCompute time: 0.118358\nWrite time: 0.114994\nTotal time: 0.446656\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 平面曲率栅格: /onesis/kt4/dsm_case/result/plan1844369037941932032.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
4aee0bdf203d4c7c982a5dd2176bb6d5		2024-10-08 16:08:37.081755	2024-10-08 16:08:33.216611	{"out_type":"cells","i":"/onesis/kt4/test_data/terr/filledDEM.tif","o":"/onesis/kt4/test_data/terr/result/acc_whitebox.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nFlow directions: 0%\nFlow directions: 1%\nFlow directions: 2%\nFlow directions: 3%\nFlow directions: 4%\nFlow directions: 5%\nFlow directions: 6%\nFlow directions: 7%\nFlow directions: 8%\nFlow directions: 9%\nFlow directions: 10%\nFlow directions: 11%\nFlow directions: 12%\nFlow directions: 13%\nFlow directions: 14%\nFlow directions: 15%\nFlow directions: 16%\nFlow directions: 17%\nFlow directions: 18%\nFlow directions: 19%\nFlow directions: 20%\nFlow directions: 21%\nFlow directions: 22%\nFlow directions: 23%\nFlow directions: 24%\nFlow directions: 25%\nFlow directions: 26%\nFlow directions: 27%\nFlow directions: 28%\nFlow directions: 29%\nFlow directions: 30%\nFlow directions: 31%\nFlow directions: 32%\nFlow directions: 33%\nFlow directions: 34%\nFlow directions: 35%\nFlow directions: 36%\nFlow directions: 37%\nFlow directions: 38%\nFlow directions: 39%\nFlow directions: 40%\nFlow directions: 41%\nFlow directions: 42%\nFlow directions: 43%\nFlow directions: 44%\nFlow directions: 45%\nFlow directions: 46%\nFlow directions: 47%\nFlow directions: 48%\nFlow directions: 49%\nFlow directions: 50%\nFlow directions: 51%\nFlow directions: 52%\nFlow directions: 53%\nFlow directions: 54%\nFlow directions: 55%\nFlow directions: 56%\nFlow directions: 57%\nFlow directions: 58%\nFlow directions: 59%\nFlow directions: 60%\nFlow directions: 61%\nFlow directions: 62%\nFlow directions: 63%\nFlow directions: 64%\nFlow directions: 65%\nFlow directions: 66%\nFlow directions: 67%\nFlow directions: 68%\nFlow directions: 69%\nFlow directions: 70%\nFlow directions: 71%\nFlow directions: 72%\nFlow directions: 73%\nFlow directions: 74%\nFlow directions: 75%\nFlow directions: 76%\nFlow directions: 77%\nFlow directions: 78%\nFlow directions: 79%\nFlow directions: 80%\nFlow directions: 81%\nFlow directions: 82%\nFlow directions: 83%\nFlow directions: 84%\nFlow directions: 85%\nFlow directions: 86%\nFlow directions: 87%\nFlow directions: 88%\nFlow directions: 89%\nFlow directions: 90%\nFlow directions: 91%\nFlow directions: 92%\nFlow directions: 93%\nFlow directions: 94%\nFlow directions: 95%\nFlow directions: 96%\nFlow directions: 97%\nFlow directions: 98%\nFlow directions: 99%\nFlow directions: 100%\nNum. inflowing neighbours: 0%\nNum. inflowing neighbours: 1%\nNum. inflowing neighbours: 2%\nNum. inflowing neighbours: 3%\nNum. inflowing neighbours: 4%\nNum. inflowing neighbours: 5%\nNum. inflowing neighbours: 6%\nNum. inflowing neighbours: 7%\nNum. inflowing neighbours: 8%\nNum. inflowing neighbours: 9%\nNum. inflowing neighbours: 10%\nNum. inflowing neighbours: 11%\nNum. inflowing neighbours: 12%\nNum. inflowing neighbours: 13%\nNum. inflowing neighbours: 14%\nNum. inflowing neighbours: 15%\nNum. inflowing neighbours: 16%\nNum. inflowing neighbours: 17%\nNum. inflowing neighbours: 18%\nNum. inflowing neighbours: 19%\nNum. inflowing neighbours: 20%\nNum. inflowing neighbours: 21%\nNum. inflowing neighbours: 22%\nNum. inflowing neighbours: 23%\nNum. inflowing neighbours: 24%\nNum. inflowing neighbours: 25%\nNum. inflowing neighbours: 26%\nNum. inflowing neighbours: 27%\nNum. inflowing neighbours: 28%\nNum. inflowing neighbours: 29%\nNum. inflowing neighbours: 30%\nNum. inflowing neighbours: 31%\nNum. inflowing neighbours: 32%\nNum. inflowing neighbours: 33%\nNum. inflowing neighbours: 34%\nNum. inflowing neighbours: 35%\nNum. inflowing neighbours: 36%\nNum. inflowing neighbours: 37%\nNum. inflowing neighbours: 38%\nNum. inflowing neighbours: 39%\nNum. inflowing neighbours: 40%\nNum. inflowing neighbours: 41%\nNum. inflowing neighbours: 42%\nNum. inflowing neighbours: 43%\nNum. inflowing neighbours: 44%\nNum. inflowing neighbours: 45%\nNum. inflowing neighbours: 46%\nNum. inflowing neighbours: 47%\nNum. inflowing neighbours: 48%\nNum. inflowing neighbours: 49%\nNum. inflowing neighbours: 50%\nNum. inflowing neighbours: 51%\nNum. inflowing neighbours: 52%\nNum. inflowing neighbours: 53%\nNum. inflowing neighbours: 54%\nNum. inflowing neighbours: 55%\nNum. inflowing neighbours: 56%\nNum. inflowing neighbours: 57%\nNum. inflowing neighbours: 58%\nNum. inflowing neighbours: 59%\nNum. inflowing neighbours: 60%\nNum. inflowing neighbours: 61%\nNum. inflowing neighbours: 62%\nNum. inflowing neighbours: 63%\nNum. inflowing neighbours: 64%\nNum. inflowing neighbours: 65%\nNum. inflowing neighbours: 66%\nNum. inflowing neighbours: 67%\nNum. inflowing neighbours: 68%\nNum. inflowing neighbours: 69%\nNum. inflowing neighbours: 70%\nNum. inflowing neighbours: 71%\nNum. inflowing neighbours: 72%\nNum. inflowing neighbours: 73%\nNum. inflowing neighbours: 74%\nNum. inflowing neighbours: 75%\nNum. inflowing neighbours: 76%\nNum. inflowing neighbours: 77%\nNum. inflowing neighbours: 78%\nNum. inflowing neighbours: 79%\nNum. inflowing neighbours: 80%\nNum. inflowing neighbours: 81%\nNum. inflowing neighbours: 82%\nNum. inflowing neighbours: 83%\nNum. inflowing neighbours: 84%\nNum. inflowing neighbours: 85%\nNum. inflowing neighbours: 86%\nNum. inflowing neighbours: 87%\nNum. inflowing neighbours: 88%\nNum. inflowing neighbours: 89%\nNum. inflowing neighbours: 90%\nNum. inflowing neighbours: 91%\nNum. inflowing neighbours: 92%\nNum. inflowing neighbours: 93%\nNum. inflowing neighbours: 94%\nNum. inflowing neighbours: 95%\nNum. inflowing neighbours: 96%\nNum. inflowing neighbours: 97%\nNum. inflowing neighbours: 98%\nNum. inflowing neighbours: 99%\nNum. inflowing neighbours: 100%\nFlow accumulation: 44%\nFlow accumulation: 45%\nFlow accumulation: 46%\nFlow accumulation: 47%\nFlow accumulation: 48%\nFlow accumulation: 49%\nFlow accumulation: 50%\nFlow accumulation: 51%\nFlow accumulation: 52%\nFlow accumulation: 53%\nFlow accumulation: 54%\nFlow accumulation: 55%\nFlow accumulation: 56%\nFlow accumulation: 57%\nFlow accumulation: 58%\nFlow accumulation: 59%\nFlow accumulation: 60%\nFlow accumulation: 61%\nFlow accumulation: 62%\nFlow accumulation: 63%\nFlow accumulation: 64%\nFlow accumulation: 65%\nFlow accumulation: 66%\nFlow accumulation: 67%\nFlow accumulation: 68%\nFlow accumulation: 69%\nFlow accumulation: 70%\nFlow accumulation: 71%\nFlow accumulation: 72%\nFlow accumulation: 73%\nFlow accumulation: 74%\nFlow accumulation: 75%\nFlow accumulation: 76%\nFlow accumulation: 77%\nFlow accumulation: 78%\nFlow accumulation: 79%\nFlow accumulation: 80%\nFlow accumulation: 81%\nFlow accumulation: 82%\nFlow accumulation: 83%\nFlow accumulation: 84%\nFlow accumulation: 85%\nFlow accumulation: 86%\nFlow accumulation: 87%\nFlow accumulation: 88%\nFlow accumulation: 89%\nFlow accumulation: 90%\nFlow accumulation: 91%\nFlow accumulation: 92%\nFlow accumulation: 93%\nFlow accumulation: 94%\nFlow accumulation: 95%\nFlow accumulation: 96%\nFlow accumulation: 97%\nFlow accumulation: 98%\nFlow accumulation: 99%\nFlow accumulation: 100%\nCorrecting values: 0%\nCorrecting values: 1%\nCorrecting values: 2%\nCorrecting values: 3%\nCorrecting values: 4%\nCorrecting values: 5%\nCorrecting values: 6%\nCorrecting values: 7%\nCorrecting values: 8%\nCorrecting values: 9%\nCorrecting values: 10%\nCorrecting values: 11%\nCorrecting values: 12%\nCorrecting values: 13%\nCorrecting values: 14%\nCorrecting values: 15%\nCorrecting values: 16%\nCorrecting values: 17%\nCorrecting values: 18%\nCorrecting values: 19%\nCorrecting values: 20%\nCorrecting values: 21%\nCorrecting values: 22%\nCorrecting values: 23%\nCorrecting values: 24%\nCorrecting values: 25%\nCorrecting values: 26%\nCorrecting values: 27%\nCorrecting values: 28%\nCorrecting values: 29%\nCorrecting values: 30%\nCorrecting values: 31%\nCorrecting values: 32%\nCorrecting values: 33%\nCorrecting values: 34%\nCorrecting values: 35%\nCorrecting values: 36%\nCorrecting values: 37%\nCorrecting values: 38%\nCorrecting values: 39%\nCorrecting values: 40%\nCorrecting values: 41%\nCorrecting values: 42%\nCorrecting values: 43%\nCorrecting values: 44%\nCorrecting values: 45%\nCorrecting values: 46%\nCorrecting values: 47%\nCorrecting values: 48%\nCorrecting values: 49%\nCorrecting values: 50%\nCorrecting values: 51%\nCorrecting values: 52%\nCorrecting values: 53%\nCorrecting values: 54%\nCorrecting values: 55%\nCorrecting values: 56%\nCorrecting values: 57%\nCorrecting values: 58%\nCorrecting values: 59%\nCorrecting values: 60%\nCorrecting values: 61%\nCorrecting values: 62%\nCorrecting values: 63%\nCorrecting values: 64%\nCorrecting values: 65%\nCorrecting values: 66%\nCorrecting values: 67%\nCorrecting values: 68%\nCorrecting values: 69%\nCorrecting values: 70%\nCorrecting values: 71%\nCorrecting values: 72%\nCorrecting values: 73%\nCorrecting values: 74%\nCorrecting values: 75%\nCorrecting values: 76%\nCorrecting values: 77%\nCorrecting values: 78%\nCorrecting values: 79%\nCorrecting values: 80%\nCorrecting values: 81%\nCorrecting values: 82%\nCorrecting values: 83%\nCorrecting values: 84%\nCorrecting values: 85%\nCorrecting values: 86%\nCorrecting values: 87%\nCorrecting values: 88%\nCorrecting values: 89%\nCorrecting values: 90%\nCorrecting values: 91%\nCorrecting values: 92%\nCorrecting values: 93%\nCorrecting values: 94%\nCorrecting values: 95%\nCorrecting values: 96%\nCorrecting values: 97%\nCorrecting values: 98%\nCorrecting values: 99%\nCorrecting values: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.105s\n**********************************************************************************\nWARNING: Interior pit cells were found within the input DEM. It is likely that the \n            DEM needs to be processed to remove topographic depressions and flats prior to\n            running this tool.\n**********************************************************************************\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-160828	输出类型: cells; 输入数据: /onesis/kt4/test_data/terr/filledDEM.tif; 输出数据: /onesis/kt4/test_data/terr/result/acc_whitebox.tif; 	\N	6	\N
ecd381d36da642ed98d94ffd8f58f0c7		2024-10-08 11:09:02.034911	2024-10-08 11:08:02.060674	{"output":"/onesis/kt4/job_results/10_3_2.tif","stations":"/onesis/kt4/test_data/terr/station.shp","DEM":"/onesis/kt4/test_data/terr/dem.tif","height":"10"}	t	\N	5114cee6-501a-3d5d-b5db-8dd980570073	视域范围分析算法-110800	DEM: /onesis/kt4/test_data/terr/dem.tif; 站点矢量: /onesis/kt4/test_data/terr/station.shp; 高度: 10; 输出栅格: /onesis/kt4/job_results/10_3_2.tif; 	\N	7	\N
aadc935ab58c4a7dbe29b977d6862309		2024-10-04 18:50:43.04941	2024-10-04 18:49:47.780642	{"inlayer1":"/onesis/kt4/test_data/interp/slope_25.tif","inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","predmap":"/onesis/kt4/test_data/interp/results/zxh_org_rf.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	f41adfbf-05bf-3ab2-a5fc-e0653adc16f7	随机森林预测制图-184944	土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org_rf.tif; 	\N	7	\N
614a37a8f5ec408baae6501faa3f1d43		2024-10-08 11:21:16.036523	2024-10-08 11:20:23.833362	{"output":"/onesis/kt4/job_results/10_3_2.tif","stations":"/onesis/kt4/test_data/terr/station.shp","dem":"/onesis/kt4/test_data/terr/dem.tif","height":"10"}	t	\N	5114cee6-501a-3d5d-b5db-8dd980570073	视域范围分析算法-112005	站点矢量: /onesis/kt4/test_data/terr/station.shp; 高度: 10; 输出栅格: /onesis/kt4/job_results/10_3_2.tif; DEM: /onesis/kt4/test_data/terr/dem.tif; 	\N	7	\N
1dedcf9c51f64c6f94dc5f39496e4e49		2024-09-30 16:51:03.045452	2024-09-30 16:50:02.788962	{"od_input":"/onesis/kt4/test_data/interp/phone_flows.csv","i":"2","sample_index":"0,1,2,3,4","od_interp":"/onesis/kt4/test_data/interp/results/gtwr/","od_sample":"/onesis/kt4/test_data/interp/phone_flows.csv","input_index":"0,1,2,3"}	t	Pod Status: Running\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ sort -t_ -k4 -n\n+ grep SPARK_JAVA_OPT_\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-idw --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_IDW/toolbox.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-idw --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_IDW/toolbox.jar /data/onesis/kt4/test_data/interp/phone_flows.csv /data/onesis/kt4/test_data/interp/results/gtwr/ /data/onesis/kt4/test_data/interp/phone_flows.csv 0,1,2,3,4 0,1,2,3 2\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/09/30 08:50:05 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nException in thread "main" org.apache.spark.sql.AnalysisException: path file:/data/onesis/kt4/test_data/interp/results/gtwr already exists.\n\tat org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:122)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:108)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:106)\n\tat org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:131)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\n\tat org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)\n\tat org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)\n\tat org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)\n\tat org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)\n\tat org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)\n\tat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)\n\tat org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)\n\tat org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)\n\tat org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)\n\tat org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:979)\n\tat Flow_IDW$.main(Flow_IDW.scala:122)\n\tat Flow_IDW.main(Flow_IDW.scala)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)\n\tat java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)\n\tat java.base/java.lang.reflect.Method.invoke(Unknown Source)\n\tat org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)\n\tat org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:951)\n\tat org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)\n\tat org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)\n\tat org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)\n\tat org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)\n\tat org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)\n\tat org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)\nfailed to create fsnotify watcher: too many open files	2a2352b3-e975-3d22-8813-b313195b9b8a	地理流的IDW插值-09301650	样本流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 待插值流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 索引: 0,1,2,3,4; 索引: 0,1,2,3; 权重系数: 2; 插值结果存储路径: /onesis/kt4/test_data/interp/results/gtwr/; 	\N	7	\N
a67b15d8d7ac43a1be835781bec18acd		2024-10-09 10:20:15.514709	2024-10-09 10:20:10.562362	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843838836476608512.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.096731\nData read time: 0.070460\nCompute time: 0.316393\nWrite time: 0.091912\nTotal time: 0.575496\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843838836476608512.tif; 	\N	6	574dd910-ca07-46a0-ba57-2d63e3cfa193
287c90cc1731432c8f4f901d86f8b00b		2024-10-09 11:43:51.139052	2024-10-09 11:43:46.699613	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843859876632199168.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.054505\nData read time: 0.070995\nCompute time: 0.318503\nWrite time: 0.092511\nTotal time: 0.536515\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843859876632199168.tif; 	\N	6	69bd44b5-233e-4511-bd36-e0cc94fd2b9c
5bc71191504d4a659191cd46e2aeb50d		2024-10-09 16:24:55.54008	2024-10-09 16:24:50.794811	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843930609739759616.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050263\nData read time: 0.072049\nCompute time: 0.304876\nWrite time: 0.087712\nTotal time: 0.514899\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843930609739759616.tif; 	\N	6	f0b83f2a-e66d-4eb0-9956-d6dca2bea33c
84322cf2cf774dda81c642447c67cc4d	fb21777daf544ce5b7056587048162b3	\N	2024-10-02 15:43:09.311633	{"od":"/onesis/kt4/test_data/statis/result2/ gearyc_res"}	t	\N	93db00fe-1ef3-3bc6-8d4f-b8fb5d45c72d	宣城-地理流的Geary'C指数分析-10021543	流数据文件: /onesis/kt4/test_data/statis/phone_flows.csv; 流数据文件: 0,1,2,3,4; 流数据文件: /onesis/kt4/test_data/statis/result2/ gearyc_res; 	\N	3	\N
772ee4bc556844948bf53e857a7a893d		2024-10-04 18:56:54.63471	2024-10-04 18:56:50.713215	{"uncmap":"/onesis/kt4/job_results/zxh_org_uncer.tif","inlayer1":"/onesis/kt4/test_data/interp/slope_25.tif","inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","simithred":"0.3","predmap":"/onesis/kt4/job_results/zxh_org.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/data/onesis/kt4/test_data/interp/dem_25.tif/data/onesis/kt4/test_data/interp/dem_25.tif\nLoading data ...\nTransformation operator() function called.\ncompute layer size: 27 43\nrank 0. avg compt load: 113848\n\nRunning prediction method ...\n\rCompleted     0%\rCompleted   0.1%\rCompleted   0.2%\rCompleted   0.3%\rCompleted   0.4%\rCompleted   0.5%\rCompleted   0.6%\rCompleted   0.7%\rCompleted   0.8%\rCompleted   0.9%\rCompleted     1%\rCompleted   1.1%\rCompleted   1.2%\rCompleted   1.3%\rCompleted   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94.2%\rCompleted  94.3%\rCompleted  94.4%\rCompleted  94.5%\rCompleted  94.6%\rCompleted  94.7%\rCompleted  94.8%\rCompleted  94.9%\rCompleted    95%\rCompleted  95.1%\rCompleted  95.2%\rCompleted  95.3%\rCompleted  95.4%\rCompleted  95.5%\rCompleted  95.6%\rCompleted  95.7%\rCompleted  95.8%\rCompleted  95.9%\rCompleted    96%\rCompleted  96.1%\rCompleted  96.2%\rCompleted  96.3%\rCompleted  96.4%\rCompleted  96.5%\rCompleted  96.6%\rCompleted  96.7%\rCompleted  96.8%\rCompleted  96.9%\rCompleted    97%\rCompleted  97.1%\rCompleted  97.2%\rCompleted  97.3%\rCompleted  97.4%\rCompleted  97.5%\rCompleted  97.6%\rCompleted  97.7%\rCompleted  97.8%\rCompleted  97.9%\rCompleted    98%\rCompleted  98.1%\rCompleted  98.2%\rCompleted  98.3%\rCompleted  98.4%\rCompleted  98.5%\rCompleted  98.6%\rCompleted  98.7%\rCompleted  98.8%\rCompleted  98.9%\rCompleted    99%\rCompleted  99.1%\rCompleted  99.2%\rCompleted  99.3%\rCompleted  99.4%\rCompleted  99.5%\rCompleted  99.6%\rCompleted  99.7%\rCompleted  99.8%\rCompleted  99.9%\rCompleted  99.9%\rCompleted   100%\nWrite out result ...\n\nProcesses:1\n    Read time:0.294182\n    Compute time:0.117904\n    Write time:0.000000\nfailed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-185649	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/job_results/zxh_org.tif; 空间推测不确定性: /onesis/kt4/job_results/zxh_org_uncer.tif; 	\N	6	\N
aaf5dfcc85b543729ef9f0bdcc1d3b0e	fb21777daf544ce5b7056587048162b3	2024-10-08 16:14:27.495213	2024-10-02 15:42:01.030498	{"od":"/onesis/kt4/test_data/statis/result2/9-7-1.tif"}	t	\N	93db00fe-1ef3-3bc6-8d4f-b8fb5d45c72d	宣城-地理流的Geary'C指数分析-10021541	流数据文件: /onesis/kt4/test_data/statis/phone_flows.csv; 流数据文件: 0,1,2,3,4; 流数据文件: /onesis/kt4/test_data/statis/result2/9-7-1.tif; 	\N	8	\N
1ccc9073adc343fcbf8398afb8b28d4e		2024-09-30 21:15:07.086499	2024-09-30 21:14:43.982726	{"UncertaintyThreshold":"0.3","soilsamples":"/onesis/kt4/test_data/interp/samples.csv","Spatialspeculativeuncertainty":"/onesis/kt4/results/2.tif","Spatialdistributionofsoilproperties":"/onesis/kt4/job_results/1.tif","topographic_wetness_index":"/onesis/kt4/test_data/interp/slope_25.tif"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-09302114	null: /onesis/kt4/test_data/interp/samples.csv; null: /onesis/kt4/test_data/interp/slope_25.tif; null: 0.3; null: /onesis/kt4/job_results/1.tif; null: /onesis/kt4/results/2.tif; 	\N	8	\N
befec514086848d8a8bfa341e159f0b2		\N	2024-09-30 22:25:26.37457	{"od_index":"0,2,3,5,6","location_index":"0,1","location_I_index":"/onesis/kt4/test_data/statis/result/test","locations":"/onesis/kt4/test_data/statis/grid_6ring_500.csv","od_flow":"/onesis/kt4/test_data/statis/beijing_odflow_5days.csv"}	t	\N	94aa45cb-0093-34a5-975c-d1f041f8bcc0	地理流的I指数-09302225	地点多边形文件: /onesis/kt4/test_data/statis/grid_6ring_500.csv; null: /onesis/kt4/test_data/statis/beijing_odflow_5days.csv; null: 0,1; 索引: 0,2,3,5,6; null: /onesis/kt4/test_data/statis/result/test; 	\N	3	\N
3916a6f3ad5a47e1acaa419352e00e97		\N	2024-09-30 22:28:07.278161	{"od_index":"0,2,3,5,6","location_index":"0,1","location_I_index":"/onesis/kt4/test_data/statis/result/test","locations":"/onesis/kt4/test_data/statis/grid_6ring_500.csv","od_flow":"/onesis/kt4/test_data/statis/beijing_odflow_5days.csv"}	t	\N	94aa45cb-0093-34a5-975c-d1f041f8bcc0	地理流的I指数-09302227	地点多边形文件: /onesis/kt4/test_data/statis/grid_6ring_500.csv; null: /onesis/kt4/test_data/statis/beijing_odflow_5days.csv; null: 0,1; 索引: 0,2,3,5,6; null: /onesis/kt4/test_data/statis/result/test; 	\N	3	\N
abfc412ee4f849a68ce31e29c003270c		\N	2024-09-30 22:32:13.427527	{"flow_accumulation":"/onesis/kt4/test_data/terr/terr/acc_d8.tif","stream_power_index":"/onesis/kt4/test_data/terr/result/spi.tif","slope":"/onesis/kt4/test_data/terr/terr/slope_degree.tif","SCAexponentvalue":"1.0"}	t	\N	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数-09302232	null: 1.0; null: /onesis/kt4/test_data/terr/terr/acc_d8.tif; 输入坡度 slope 文件: /onesis/kt4/test_data/terr/terr/slope_degree.tif; null: /onesis/kt4/test_data/terr/result/spi.tif; 	\N	3	\N
9f25bb25487c4870897cf35762735697		\N	2024-09-30 22:33:43.353805	{"filled_dem":"/onesis/kt4/test_data/terr/result/1.tif","dem":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif"}	t	\N	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）-09302233	null: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; null: /onesis/kt4/test_data/terr/result/1.tif; 	\N	3	\N
ce63b977aeb04e7e99e99b15af75ccc1		\N	2024-09-30 22:23:15.841508	{"od_index":"0,2,3,5,6","location_index":"0,1","location_I_index":"/onesis/kt4/test_data/statis/result/111","locations":"/onesis/kt4/test_data/statis/grid_6ring_500.csv","od_flow":"/onesis/kt4/test_data/statis/beijing_odflow_5days.csv"}	t	\N	94aa45cb-0093-34a5-975c-d1f041f8bcc0	地理流的I指数-09302223	地点多边形文件: /onesis/kt4/test_data/statis/grid_6ring_500.csv; null: /onesis/kt4/test_data/statis/beijing_odflow_5days.csv; null: 0,1; 索引: 0,2,3,5,6; null: /onesis/kt4/test_data/statis/result/111; 	\N	3	\N
96d0370fa88042c6941b33e9cf47f16a		\N	2024-10-01 10:13:53.029777	{"cluster_id":"5","od_cluster_center":"/onesis/kt4/job_results/calcen_result","destination_lon_index":"3","origin_lat_index":"2","origin_lon_index":"1","id_index":"0","od_cluster":"/onesis/kt4/test_data/cluster/ODflow_cluster.csv","destination_lat_index":"4"}	t	\N	3d307f2c-2101-31d9-922f-d057b3d2ac94	地理流的聚类中心计算-10011013	null: /onesis/kt4/test_data/cluster/ODflow_cluster.csv; 索引: 0; null: 1; null: 2; null: 3; null: 4; 索引: 5; null: /onesis/kt4/job_results/calcen_result; 	\N	3	\N
8c1c6e81f7694718ae762fa417497ecc		\N	2024-10-01 10:12:22.025343	{"cluster_id":"5","od_cluster_center":"/onesis/kt4/job_results/flow_cluster_res","destination_lon_index":"3","origin_lat_index":"2","origin_lon_index":"1","id_index":"0","od_cluster":"/onesis/kt4/test_data/cluster/ODflow_cluster.csv","destination_lat_index":"4"}	t	\N	3d307f2c-2101-31d9-922f-d057b3d2ac94	地理流的聚类中心计算-10011012	null: /onesis/kt4/test_data/cluster/ODflow_cluster.csv; 索引: 0; null: 1; null: 2; null: 3; null: 4; 索引: 5; null: /onesis/kt4/job_results/flow_cluster_res; 	\N	3	\N
e28887471cdc4f86b6155c3f4107eba0		2024-10-04 12:10:54.033246	2024-10-04 12:09:54.35995	{"inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-120943	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; 	\N	7	\N
7bd12e35a20c456eb2a5de011fedbbe1		2024-10-08 09:31:20.778026	2024-10-08 09:31:08.209821	{"sd8":"/onesis/kt4/job_results/sd81843464107957813248.tif","fel":"/onesis/kt4/job_results/fel1843464107899092992.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1843464107899092992.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052939\nData read time: 0.156593\nCompute Slope time: 0.324983\nWrite Slope time: 0.109621\nResolve Flat time: 2.586740\nWrite Flat time: 0.048805\nTotal time: 3.279680\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/job_results/fel1843464107899092992.tif; 坡度栅格: /onesis/kt4/job_results/sd81843464107957813248.tif; 	\N	6	2a03ba80-9139-4e66-8bf1-3479e50e90d1
1c36fd317f9d4f3ab87bd2eac44ea91f		2024-10-04 12:13:22.033909	2024-10-04 12:11:53.015308	{"inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","predmap":"/onesis/kt4/test_data/interp/results/zxh_rf.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	f41adfbf-05bf-3ab2-a5fc-e0653adc16f7	随机森林预测制图-121149	土壤样点: /onesis/kt4/test_data/interp/samples.csv; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_rf.tif; 待推测土壤属性: org; 	\N	7	\N
fe71a73645a44cff9466f5b6020c2245		2024-10-04 17:40:33.04387	2024-10-04 17:39:38.016446	{"inlayer1":"/onesis/kt4/test_data/interp/slope_25.tif","inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","predmap":"/onesis/kt4/test_data/interp/results/zxh_org_rf.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	f41adfbf-05bf-3ab2-a5fc-e0653adc16f7	随机森林预测制图-173936	土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org_rf.tif; 	\N	7	\N
68b83716ee454f97b64eba6382a666e9		2024-10-04 12:08:41.041396	2024-10-04 12:07:47.364273	{"inlayer1":"/onesis/kt4/test_data/interp/slope_25.tif","inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","simithred":"0.3","predmap":"/onesis/kt4/job_results/zxh_ipsm.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-120745	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/job_results/zxh_ipsm.tif; 	\N	7	\N
87e19d90eaf947e28f91b09bda8a5525		2024-10-08 11:27:53.353556	2024-10-08 11:27:49.915032	{"log":"false","i":"/onesis/kt4/test_data/terr/dem.tif","o":"/onesis/kt4/job_results/10_2_6.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n**********************************\n* Welcome to TangentialCurvature *\n* Powered by WhiteboxTools       *\n* www.whiteboxgeo.com            *\n**********************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.25s\nfailed to create fsnotify watcher: too many open files	ef91b6ea-9009-359d-b028-34e1136d3152	切向曲率-112749	对数转换输出: false; 输入栅格 DEM 文件: /onesis/kt4/test_data/terr/dem.tif; 输出栅格文件: /onesis/kt4/job_results/10_2_6.tif; 	\N	6	\N
c6a521db846a42a8943bc6938520dffa		2024-10-08 01:23:35.41135	2024-10-08 01:23:31.241483	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/dem.tif","units":"degrees","o":"/onesis/kt4/job_results/10-2-2.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.25s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	坡度（三阶二元泰勒多项式）-012329	z因子: 1; 单位: degrees; 输入数据: /onesis/kt4/test_data/terr/dem.tif; 输出数据: /onesis/kt4/job_results/10-2-2.tif; 	\N	6	\N
7f84d3a685fe4776a7bff4486a58011e		2024-10-10 11:29:59.884164	2024-10-10 11:29:54.99115	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844218776086773760.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.057291\nData read time: 0.066821\nCompute time: 0.312736\nWrite time: 0.089693\nTotal time: 0.526540\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844218776086773760.tif; 	\N	6	4f8ce1fe-0a30-483f-a488-7964f9822719
0f002f9c5780477baa99ed0072a47dd7		2024-10-04 18:59:54.124265	2024-10-04 18:59:48.644454	{"inlayer1":"/onesis/kt4/test_data/interp/slope_25.tif","inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","predmap":"/onesis/kt4/job_results/zxh_org_rf.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.11/site-packages/osgeo/gdal.py:312: FutureWarning: Neither gdal.UseExceptions() nor gdal.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nfailed to create fsnotify watcher: too many open files	f41adfbf-05bf-3ab2-a5fc-e0653adc16f7	随机森林预测制图-185947	土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 坡度栅格: /onesis/kt4/test_data/interp/slope_25.tif; 土壤属性空间分布: /onesis/kt4/job_results/zxh_org_rf.tif; 	\N	6	\N
e1543167df56449fb840766e406693c2		2024-10-04 18:53:51.034363	2024-10-04 18:52:55.795344	{"inlayer0":"/onesis/kt4/test_data/interp/dem_25.tif","simithred":"0.3","predmap":"/onesis/kt4/test_data/interp/results/zxh_org.tif","sample":"/onesis/kt4/test_data/interp/samples.csv","target":"org"}	t	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)-185255	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/test_data/interp/samples.csv; 待推测土壤属性: org; 土壤属性空间分布: /onesis/kt4/test_data/interp/results/zxh_org.tif; DEM栅格: /onesis/kt4/test_data/interp/dem_25.tif; 	\N	7	\N
cb262a29922c4dc887b4d1d2f5be333c		2024-10-08 01:26:51.702552	2024-10-08 01:26:48.454963	{"log":"false","i":"/onesis/kt4/test_data/terr/filledDEM.tif","o":"/onesis/kt4/job_results/10_2_5.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	ef91b6ea-9009-359d-b028-34e1136d3152	切向曲率-012648	对数转换输出: false; 输入栅格 DEM 文件: /onesis/kt4/test_data/terr/filledDEM.tif; 输出栅格文件: /onesis/kt4/job_results/10_2_5.tif; 	\N	6	\N
e4c2d13e102647409723b6388da2324d		2024-10-08 01:30:37.400199	2024-10-08 01:30:34.556593	{"log":"false","i":"/onesis/kt4/test_data/terr/filledDEM.tif","o":"/onesis/kt4/job_results/10_2_6.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nfailed to create fsnotify watcher: too many open files	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率-013033	对数转换输出: false; 输入栅格 DEM 文件: /onesis/kt4/test_data/terr/filledDEM.tif; 输出栅格文件: /onesis/kt4/job_results/10_2_6.tif; 	\N	6	\N
2baa4faf58d8485faea4ac9bb8965809		2024-10-08 11:30:15.173758	2024-10-08 11:30:11.750343	{"log":"false","i":"/onesis/kt4/test_data/terr/dem.tif","o":"/onesis/kt4/job_results/10_2_5.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n**********************************\n* Welcome to TangentialCurvature *\n* Powered by WhiteboxTools       *\n* www.whiteboxgeo.com            *\n**********************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.25s\nfailed to create fsnotify watcher: too many open files	ef91b6ea-9009-359d-b028-34e1136d3152	切向曲率-113011	对数转换输出: false; 输入栅格 DEM 文件: /onesis/kt4/test_data/terr/dem.tif; 输出栅格文件: /onesis/kt4/job_results/10_2_5.tif; 	\N	6	\N
3dd17ca514764c1088e705c3729fd512		2025-01-05 21:30:26.174135	2025-01-05 21:29:23.051776	{"zfactor":"1","i":"/onesis/kt4/xuancheng/fel1875897380667260928.tif","o":"/onesis/kt4/xuancheng/o1875897381346738176.tif"}	f	\N	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	z因子: 1; 输入数据: /onesis/kt4/xuancheng/fel1875897380667260928.tif; 输出数据: /onesis/kt4/xuancheng/o1875897381346738176.tif; 	\N	7	1a7a151e-1504-4d5e-8f67-e3fa8549081d
2ecc6d3069c7491bb3a5946a41a10b6a		2024-10-05 11:45:55.466776	2024-10-05 11:45:51.566593	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","units":"degrees","o":"/onesis/kt4/job_results/slope_wtbox.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.27s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	坡度（三阶二元泰勒多项式）-114550	输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; z因子: 1; 单位: degrees; 输出数据: /onesis/kt4/job_results/slope_wtbox.tif; 	\N	6	\N
98d8aaabb2b94919ae9dbe8dbe7b570f		2024-10-09 10:41:55.691247	2024-10-09 10:41:50.727544	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843844290703392768.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050753\nData read time: 0.067812\nCompute time: 0.312254\nWrite time: 0.094953\nTotal time: 0.525772\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843844290703392768.tif; 	\N	6	6db4a993-260e-4062-a578-0d6035ddda76
f1945062e3b840acbe1214354c0d014c		2024-10-08 11:33:25.510195	2024-10-08 09:53:31.549851	{"i":"/onesis/kt4/job_results/fel1843469741700808704.tif","o":"/onesis/kt4/job_results/o1843469741755334656.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/job_results/fel1843469741700808704.tif; 输出栅格文件: /onesis/kt4/job_results/o1843469741755334656.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
790ca520f32c45e290c5dc4a33903a4a		2024-10-07 22:31:01.969418	2024-10-07 22:30:52.636076	{"zfactor":"1","i":"/onesis/kt4/job_results/fel1843297948763553792.tif","o":"/onesis/kt4/job_results/aspect.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.38s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	new_name	z因子: 1; 输出数据: /onesis/kt4/job_results/aspect.tif; 输入数据: /onesis/kt4/job_results/fel1843297948763553792.tif; 	\N	6	b93716b4-5fc9-4934-b211-dc687a21746e
cb288cdf2b7c42f0a3306bfff697d3be		2024-10-04 19:12:42.121105	2024-10-04 19:12:23.533772	{"od_input":"/onesis/kt4/test_data/interp/phone_flows.csv","sample_index":"0,1,2,3,4","od_interp":"/onesis/kt4/job_results/nni_res","od_sample":"/onesis/kt4/test_data/interp/phone_flows.csv","input_index":"0,1,2,3"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n++ id -u\n+ myuid=0\n++ id -g\n+ mygid=0\n+ set +e\n++ getent passwd 0\n+ uidentry=root:x:0:0:root:/root:/bin/bash\n+ set -e\n+ '[' -z root:x:0:0:root:/root:/bin/bash ']'\n+ SPARK_CLASSPATH=':/opt/spark/jars/*'\n+ env\n+ grep SPARK_JAVA_OPT_\n+ sort -t_ -k4 -n\n+ sed 's/[^=]*=\\(.*\\)/\\1/g'\n+ readarray -t SPARK_EXECUTOR_JAVA_OPTS\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -n '' ']'\n+ '[' -z ']'\n+ '[' -z ']'\n+ '[' -z x ']'\n+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'\n+ case "$1" in\n+ shift 1\n+ CMD=("$SPARK_HOME/bin/spark-submit" --master local[4] --name flow-nn --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_nearestNeighbor/toolbox.jar "$@")\n+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --master 'local[4]' --name flow-nn --conf spark.jars.ivy=/tmp/.ivy /opt/spark/examples/jars/Flow_nearestNeighbor/toolbox.jar /data/onesis/kt4/test_data/interp/phone_flows.csv /data/onesis/kt4/job_results/nni_res /data/onesis/kt4/test_data/interp/phone_flows.csv 0,1,2,3,4 0,1,2,3\nWARNING: An illegal reflective access operation has occurred\nWARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/opt/spark/jars/spark-unsafe_2.12-3.1.2.jar) to constructor java.nio.DirectByteBuffer(long,int)\nWARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform\nWARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations\nWARNING: All illegal access operations will be denied in a future release\n24/10/04 11:12:26 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\nUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\nfailed to create fsnotify watcher: too many open files	176bdabd-ac85-3dbd-bf0d-e84584a24489	地理流的最邻近插值-191222	样本流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 待插值流文件: /onesis/kt4/test_data/interp/phone_flows.csv; 索引: 0,1,2,3,4; 索引: 0,1,2,3; 插值结果存储路径: /onesis/kt4/job_results/nni_res; 	\N	6	\N
d23e479286cb4e4e81ecc85c709c6e9e		2024-10-07 22:30:56.898105	2024-10-07 22:30:52.813886	{"z":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","fel":"/onesis/kt4/job_results/fel1843297948763553792.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.085978\nData read time: 0.066576\nCompute time: 0.310634\nWrite time: 0.092339\nTotal time: 0.555528\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/fel1843297948763553792.tif; 	\N	6	b93716b4-5fc9-4934-b211-dc687a21746e
37a8df9febcc4406ab554d7370384af8		2024-10-08 11:33:25.516267	2024-10-08 09:53:31.575561	{"sca":"/onesis/kt4/job_results/ad81843469742627749888.tif","slope":"necessary_input_param","o":"/onesis/kt4/job_results/o1843469742673887232.tif"}	f	\N	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	输入单位汇水面积 sca 文件: /onesis/kt4/job_results/ad81843469742627749888.tif; 输入坡度 slope 文件: necessary_input_param; 输出栅格文件: /onesis/kt4/job_results/o1843469742673887232.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
0f3a60ab949d40af9dfe927fa99b2088		2024-10-08 11:33:25.535779	2024-10-08 09:53:31.44617	{"sca":"/onesis/kt4/job_results/ad81843469742627749888.tif","slp":"necessary_input_param","twi":"/onesis/kt4/job_results/twi1843469742782939136.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: necessary_input_param; 汇流累积量: /onesis/kt4/job_results/ad81843469742627749888.tif; 地形湿度指数: /onesis/kt4/job_results/twi1843469742782939136.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
7b4645c0765447499f4512f17e70ace3		2024-10-09 11:34:00.921877	2024-10-09 11:33:42.794302	{"p":"/onesis/kt4/results/p1843857344056918016.tif","ad8":"/onesis/kt4/results/ad81843857344107249664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843857344056918016.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.096917\nCompute time: 0.295354\nWrite time: 0.072643\nTotal time: 0.464914\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843857344056918016.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843857344107249664.tif; 	\N	6	895244c4-4c68-4665-852a-d7182db4772b
3bb9e07dafd8470f861af70a16f4eb34		2024-10-04 22:38:36.925211	2024-10-04 22:38:33.009614	{"i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","dist":"5","fill":"true","min_dist":"true","o":"/onesis/kt4/test_data/terr/result/Filled_meixi.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*****************************************\n* Welcome to BreachDepressionsLeastCost *\n* Powered by WhiteboxTools              *\n* www.whiteboxgeo.com                   *\n*****************************************\nReading data...\nFinding pits: 0%\nFinding pits: 1%\nFinding pits: 2%\nFinding pits: 3%\nFinding pits: 4%\nFinding pits: 5%\nFinding pits: 6%\nFinding pits: 7%\nFinding pits: 8%\nFinding pits: 9%\nFinding pits: 10%\nFinding pits: 11%\nFinding pits: 12%\nFinding pits: 13%\nFinding pits: 14%\nFinding pits: 15%\nFinding pits: 16%\nFinding pits: 17%\nFinding pits: 18%\nFinding pits: 19%\nFinding pits: 20%\nFinding pits: 21%\nFinding pits: 22%\nFinding pits: 23%\nFinding pits: 24%\nFinding pits: 25%\nFinding pits: 26%\nFinding pits: 27%\nFinding pits: 28%\nFinding pits: 29%\nFinding pits: 30%\nFinding pits: 31%\nFinding pits: 32%\nFinding pits: 33%\nFinding pits: 34%\nFinding pits: 35%\nFinding pits: 36%\nFinding pits: 37%\nFinding pits: 38%\nFinding pits: 39%\nFinding pits: 40%\nFinding pits: 41%\nFinding pits: 42%\nFinding pits: 43%\nFinding pits: 44%\nFinding pits: 45%\nFinding pits: 46%\nFinding pits: 47%\nFinding pits: 48%\nFinding pits: 49%\nFinding pits: 50%\nFinding pits: 51%\nFinding pits: 52%\nFinding pits: 53%\nFinding pits: 54%\nFinding pits: 55%\nFinding pits: 56%\nFinding pits: 57%\nFinding pits: 58%\nFinding pits: 59%\nFinding pits: 60%\nFinding pits: 61%\nFinding pits: 62%\nFinding pits: 63%\nFinding pits: 64%\nFinding pits: 65%\nFinding pits: 66%\nFinding pits: 67%\nFinding pits: 68%\nFinding pits: 69%\nFinding pits: 70%\nFinding pits: 71%\nFinding pits: 72%\nFinding pits: 73%\nFinding pits: 74%\nFinding pits: 75%\nFinding pits: 76%\nFinding pits: 77%\nFinding pits: 78%\nFinding pits: 79%\nFinding pits: 80%\nFinding pits: 81%\nFinding pits: 82%\nFinding pits: 83%\nFinding pits: 84%\nFinding pits: 85%\nFinding pits: 86%\nFinding pits: 87%\nFinding pits: 88%\nFinding pits: 89%\nFinding pits: 90%\nFinding pits: 91%\nFinding pits: 92%\nFinding pits: 93%\nFinding pits: 94%\nFinding pits: 95%\nFinding pits: 96%\nFinding pits: 97%\nFinding pits: 98%\nFinding pits: 99%\nFinding pits: 100%\nBreaching: 0%\nBreaching: 1%\nBreaching: 2%\nBreaching: 3%\nBreaching: 4%\nBreaching: 5%\nBreaching: 6%\nBreaching: 7%\nBreaching: 8%\nBreaching: 9%\nBreaching: 10%\nBreaching: 11%\nBreaching: 12%\nBreaching: 13%\nBreaching: 14%\nBreaching: 15%\nBreaching: 16%\nBreaching: 17%\nBreaching: 18%\nBreaching: 19%\nBreaching: 20%\nBreaching: 21%\nBreaching: 22%\nBreaching: 23%\nBreaching: 24%\nBreaching: 25%\nBreaching: 26%\nBreaching: 27%\nBreaching: 28%\nBreaching: 29%\nBreaching: 30%\nBreaching: 31%\nBreaching: 32%\nBreaching: 33%\nBreaching: 34%\nBreaching: 35%\nBreaching: 36%\nBreaching: 37%\nBreaching: 38%\nBreaching: 39%\nBreaching: 40%\nBreaching: 41%\nBreaching: 42%\nBreaching: 43%\nBreaching: 44%\nBreaching: 45%\nBreaching: 46%\nBreaching: 47%\nBreaching: 48%\nBreaching: 49%\nBreaching: 50%\nBreaching: 51%\nBreaching: 52%\nBreaching: 53%\nBreaching: 54%\nBreaching: 55%\nBreaching: 56%\nBreaching: 57%\nBreaching: 58%\nBreaching: 59%\nBreaching: 60%\nBreaching: 61%\nBreaching: 62%\nBreaching: 63%\nBreaching: 64%\nBreaching: 65%\nBreaching: 66%\nBreaching: 67%\nBreaching: 68%\nBreaching: 69%\nBreaching: 70%\nBreaching: 71%\nBreaching: 72%\nBreaching: 73%\nBreaching: 74%\nBreaching: 75%\nBreaching: 76%\nBreaching: 77%\nBreaching: 78%\nBreaching: 79%\nBreaching: 80%\nBreaching: 81%\nBreaching: 82%\nBreaching: 83%\nBreaching: 84%\nBreaching: 85%\nBreaching: 86%\nBreaching: 87%\nBreaching: 88%\nBreaching: 89%\nBreaching: 90%\nBreaching: 91%\nBreaching: 92%\nBreaching: 93%\nBreaching: 94%\nBreaching: 95%\nBreaching: 96%\nBreaching: 97%\nBreaching: 98%\nBreaching: 99%\nBreaching: 100%\nNum. solved pits: 19689\nNum. unsolved pits: 1754\nFilling remaining depressions...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.00001\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 10%\nFixing flats: 11%\nFixing flats: 12%\nFixing flats: 15%\nFixing flats: 16%\nFixing flats: 18%\nFixing flats: 19%\nFixing flats: 21%\nFixing flats: 22%\nFixing flats: 24%\nFixing flats: 25%\nFixing flats: 26%\nFixing flats: 27%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 32%\nFixing flats: 33%\nFixing flats: 34%\nFixing flats: 35%\nFixing flats: 36%\nFixing flats: 37%\nFixing flats: 39%\nFixing flats: 41%\nFixing flats: 42%\nFixing flats: 43%\nFixing flats: 44%\nFixing flats: 45%\nFixing flats: 46%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 55%\nFixing flats: 56%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 61%\nFixing flats: 63%\nFixing flats: 64%\nFixing flats: 65%\nFixing flats: 67%\nFixing flats: 68%\nFixing flats: 69%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.114s\nfailed to create fsnotify watcher: too many open files	d398ef98-1395-3a6a-bab3-e2e7301cc13b	填洼（降低边缘洼地高度）-223829	最小距离: true; 填充: true; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 距离: 5; 输出数据: /onesis/kt4/test_data/terr/result/Filled_meixi.tif; 	\N	6	\N
eccb85a1a46343d6ae28a6107ace85f3		2024-10-05 11:45:07.865954	2024-10-05 11:45:03.761983	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","units":"degrees","o":"/onesis/kt4/test_data/terr/result/slope_wtbox.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.31s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	坡度（三阶二元泰勒多项式）-114501	输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; z因子: 1; 单位: degrees; 输出数据: /onesis/kt4/test_data/terr/result/slope_wtbox.tif; 	\N	6	\N
67f71531ac004ac8b8d932f0a0479336	e90216d682a74f59915ec2b6fa2f87c5	2024-10-04 22:36:25.869211	2024-10-04 22:36:22.179744	{"i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","dist":"5","fill":"true","min_dist":"true","o":"/onesis/kt4/test_data/terr/result/FilledDEM_meixi.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*****************************************\n* Welcome to BreachDepressionsLeastCost *\n* Powered by WhiteboxTools              *\n* www.whiteboxgeo.com                   *\n*****************************************\nReading data...\nFinding pits: 0%\nFinding pits: 1%\nFinding pits: 2%\nFinding pits: 3%\nFinding pits: 4%\nFinding pits: 5%\nFinding pits: 6%\nFinding pits: 7%\nFinding pits: 8%\nFinding pits: 9%\nFinding pits: 10%\nFinding pits: 11%\nFinding pits: 12%\nFinding pits: 13%\nFinding pits: 14%\nFinding pits: 15%\nFinding pits: 16%\nFinding pits: 17%\nFinding pits: 18%\nFinding pits: 19%\nFinding pits: 20%\nFinding pits: 21%\nFinding pits: 22%\nFinding pits: 23%\nFinding pits: 24%\nFinding pits: 25%\nFinding pits: 26%\nFinding pits: 27%\nFinding pits: 28%\nFinding pits: 29%\nFinding pits: 30%\nFinding pits: 31%\nFinding pits: 32%\nFinding pits: 33%\nFinding pits: 34%\nFinding pits: 35%\nFinding pits: 36%\nFinding pits: 37%\nFinding pits: 38%\nFinding pits: 39%\nFinding pits: 40%\nFinding pits: 41%\nFinding pits: 42%\nFinding pits: 43%\nFinding pits: 44%\nFinding pits: 45%\nFinding pits: 46%\nFinding pits: 47%\nFinding pits: 48%\nFinding pits: 49%\nFinding pits: 50%\nFinding pits: 51%\nFinding pits: 52%\nFinding pits: 53%\nFinding pits: 54%\nFinding pits: 55%\nFinding pits: 56%\nFinding pits: 57%\nFinding pits: 58%\nFinding pits: 59%\nFinding pits: 60%\nFinding pits: 61%\nFinding pits: 62%\nFinding pits: 63%\nFinding pits: 64%\nFinding pits: 65%\nFinding pits: 66%\nFinding pits: 67%\nFinding pits: 68%\nFinding pits: 69%\nFinding pits: 70%\nFinding pits: 71%\nFinding pits: 72%\nFinding pits: 73%\nFinding pits: 74%\nFinding pits: 75%\nFinding pits: 76%\nFinding pits: 77%\nFinding pits: 78%\nFinding pits: 79%\nFinding pits: 80%\nFinding pits: 81%\nFinding pits: 82%\nFinding pits: 83%\nFinding pits: 84%\nFinding pits: 85%\nFinding pits: 86%\nFinding pits: 87%\nFinding pits: 88%\nFinding pits: 89%\nFinding pits: 90%\nFinding pits: 91%\nFinding pits: 92%\nFinding pits: 93%\nFinding pits: 94%\nFinding pits: 95%\nFinding pits: 96%\nFinding pits: 97%\nFinding pits: 98%\nFinding pits: 99%\nFinding pits: 100%\nBreaching: 0%\nBreaching: 1%\nBreaching: 2%\nBreaching: 3%\nBreaching: 4%\nBreaching: 5%\nBreaching: 6%\nBreaching: 7%\nBreaching: 8%\nBreaching: 9%\nBreaching: 10%\nBreaching: 11%\nBreaching: 12%\nBreaching: 13%\nBreaching: 14%\nBreaching: 15%\nBreaching: 16%\nBreaching: 17%\nBreaching: 18%\nBreaching: 19%\nBreaching: 20%\nBreaching: 21%\nBreaching: 22%\nBreaching: 23%\nBreaching: 24%\nBreaching: 25%\nBreaching: 26%\nBreaching: 27%\nBreaching: 28%\nBreaching: 29%\nBreaching: 30%\nBreaching: 31%\nBreaching: 32%\nBreaching: 33%\nBreaching: 34%\nBreaching: 35%\nBreaching: 36%\nBreaching: 37%\nBreaching: 38%\nBreaching: 39%\nBreaching: 40%\nBreaching: 41%\nBreaching: 42%\nBreaching: 43%\nBreaching: 44%\nBreaching: 45%\nBreaching: 46%\nBreaching: 47%\nBreaching: 48%\nBreaching: 49%\nBreaching: 50%\nBreaching: 51%\nBreaching: 52%\nBreaching: 53%\nBreaching: 54%\nBreaching: 55%\nBreaching: 56%\nBreaching: 57%\nBreaching: 58%\nBreaching: 59%\nBreaching: 60%\nBreaching: 61%\nBreaching: 62%\nBreaching: 63%\nBreaching: 64%\nBreaching: 65%\nBreaching: 66%\nBreaching: 67%\nBreaching: 68%\nBreaching: 69%\nBreaching: 70%\nBreaching: 71%\nBreaching: 72%\nBreaching: 73%\nBreaching: 74%\nBreaching: 75%\nBreaching: 76%\nBreaching: 77%\nBreaching: 78%\nBreaching: 79%\nBreaching: 80%\nBreaching: 81%\nBreaching: 82%\nBreaching: 83%\nBreaching: 84%\nBreaching: 85%\nBreaching: 86%\nBreaching: 87%\nBreaching: 88%\nBreaching: 89%\nBreaching: 90%\nBreaching: 91%\nBreaching: 92%\nBreaching: 93%\nBreaching: 94%\nBreaching: 95%\nBreaching: 96%\nBreaching: 97%\nBreaching: 98%\nBreaching: 99%\nBreaching: 100%\nNum. solved pits: 19693\nNum. unsolved pits: 1750\nFilling remaining depressions...\nFinding pit cells: 12%\nFinding pit cells: 25%\nFinding pit cells: 37%\nFinding pit cells: 50%\nFinding pit cells: 62%\nFinding pit cells: 75%\nFinding pit cells: 87%\nFinding pit cells: 100%\nFilling depressions: 0%\nFilling depressions: 1%\nFilling depressions: 2%\nFilling depressions: 3%\nFilling depressions: 4%\nFilling depressions: 5%\nFilling depressions: 6%\nFilling depressions: 7%\nFilling depressions: 8%\nFilling depressions: 9%\nFilling depressions: 10%\nFilling depressions: 11%\nFilling depressions: 12%\nFilling depressions: 13%\nFilling depressions: 14%\nFilling depressions: 15%\nFilling depressions: 16%\nFilling depressions: 17%\nFilling depressions: 18%\nFilling depressions: 19%\nFilling depressions: 20%\nFilling depressions: 21%\nFilling depressions: 22%\nFilling depressions: 23%\nFilling depressions: 24%\nFilling depressions: 25%\nFilling depressions: 26%\nFilling depressions: 27%\nFilling depressions: 28%\nFilling depressions: 29%\nFilling depressions: 30%\nFilling depressions: 31%\nFilling depressions: 32%\nFilling depressions: 33%\nFilling depressions: 34%\nFilling depressions: 35%\nFilling depressions: 36%\nFilling depressions: 37%\nFilling depressions: 38%\nFilling depressions: 39%\nFilling depressions: 40%\nFilling depressions: 41%\nFilling depressions: 42%\nFilling depressions: 43%\nFilling depressions: 44%\nFilling depressions: 45%\nFilling depressions: 46%\nFilling depressions: 47%\nFilling depressions: 48%\nFilling depressions: 49%\nFilling depressions: 50%\nFilling depressions: 51%\nFilling depressions: 52%\nFilling depressions: 53%\nFilling depressions: 54%\nFilling depressions: 55%\nFilling depressions: 56%\nFilling depressions: 57%\nFilling depressions: 58%\nFilling depressions: 59%\nFilling depressions: 60%\nFilling depressions: 61%\nFilling depressions: 62%\nFilling depressions: 63%\nFilling depressions: 64%\nFilling depressions: 65%\nFilling depressions: 66%\nFilling depressions: 67%\nFilling depressions: 68%\nFilling depressions: 69%\nFilling depressions: 70%\nFilling depressions: 71%\nFilling depressions: 72%\nFilling depressions: 73%\nFilling depressions: 74%\nFilling depressions: 75%\nFilling depressions: 76%\nFilling depressions: 77%\nFilling depressions: 78%\nFilling depressions: 79%\nFilling depressions: 80%\nFilling depressions: 81%\nFilling depressions: 82%\nFilling depressions: 83%\nFilling depressions: 84%\nFilling depressions: 85%\nFilling depressions: 86%\nFilling depressions: 87%\nFilling depressions: 88%\nFilling depressions: 89%\nFilling depressions: 90%\nFilling depressions: 91%\nFilling depressions: 92%\nFilling depressions: 93%\nFilling depressions: 94%\nFilling depressions: 95%\nFilling depressions: 96%\nFilling depressions: 97%\nFilling depressions: 98%\nFilling depressions: 99%\nFilling depressions: 100%\nFixing flow on flats...\nFlats increment value: 0.00001\nFixing flats: 0%\nFixing flats: 1%\nFixing flats: 2%\nFixing flats: 3%\nFixing flats: 4%\nFixing flats: 5%\nFixing flats: 6%\nFixing flats: 7%\nFixing flats: 8%\nFixing flats: 9%\nFixing flats: 10%\nFixing flats: 11%\nFixing flats: 12%\nFixing flats: 15%\nFixing flats: 17%\nFixing flats: 19%\nFixing flats: 21%\nFixing flats: 22%\nFixing flats: 23%\nFixing flats: 27%\nFixing flats: 28%\nFixing flats: 29%\nFixing flats: 30%\nFixing flats: 31%\nFixing flats: 32%\nFixing flats: 34%\nFixing flats: 35%\nFixing flats: 37%\nFixing flats: 38%\nFixing flats: 39%\nFixing flats: 41%\nFixing flats: 42%\nFixing flats: 43%\nFixing flats: 44%\nFixing flats: 45%\nFixing flats: 47%\nFixing flats: 48%\nFixing flats: 49%\nFixing flats: 50%\nFixing flats: 51%\nFixing flats: 52%\nFixing flats: 53%\nFixing flats: 54%\nFixing flats: 56%\nFixing flats: 57%\nFixing flats: 58%\nFixing flats: 59%\nFixing flats: 60%\nFixing flats: 61%\nFixing flats: 62%\nFixing flats: 63%\nFixing flats: 64%\nFixing flats: 65%\nFixing flats: 68%\nFixing flats: 69%\nFixing flats: 70%\nFixing flats: 71%\nFixing flats: 72%\nFixing flats: 73%\nFixing flats: 74%\nFixing flats: 75%\nFixing flats: 76%\nFixing flats: 77%\nFixing flats: 78%\nFixing flats: 79%\nFixing flats: 80%\nFixing flats: 81%\nFixing flats: 82%\nFixing flats: 83%\nFixing flats: 84%\nFixing flats: 85%\nFixing flats: 86%\nFixing flats: 87%\nFixing flats: 88%\nFixing flats: 89%\nFixing flats: 90%\nFixing flats: 91%\nFixing flats: 92%\nFixing flats: 93%\nFixing flats: 94%\nFixing flats: 95%\nFixing flats: 97%\nFixing flats: 98%\nFixing flats: 99%\nFixing flats: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.126s\nfailed to create fsnotify watcher: too many open files	d398ef98-1395-3a6a-bab3-e2e7301cc13b	梅溪流域-填洼（降低边缘洼地高度）-223621	最小距离: true; 填充: true; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 距离: 5; 输出数据: /onesis/kt4/test_data/terr/result/FilledDEM_meixi.tif; 	\N	6	\N
6f1dcccdc1a64523a9faf77ebce8a067		2024-10-05 11:47:33.578112	2024-10-05 11:47:29.681621	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","units":"degrees","o":"/onesis/kt4/test_data/terr/result/slope_wtbox.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.30s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	坡度（三阶二元泰勒多项式）-114728	输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; z因子: 1; 单位: degrees; 输出数据: /onesis/kt4/test_data/terr/result/slope_wtbox.tif; 	\N	6	\N
b37d548ef59843aaa1654d92be610ff7		2024-10-04 22:43:11.905173	2024-10-04 22:43:07.980225	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","units":"degrees","o":"/onesis/kt4/test_data/terr/result/slope_wtbox.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Slope         *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nerror while writing: Os { code: 526, kind: Uncategorized, message: "No error information" }\nOutput file written\nElapsed Time (excluding I/O): 0.50s\nfailed to create fsnotify watcher: too many open files	618cd744-3652-31ef-a616-d41140199346	坡度（三阶二元泰勒多项式）-224304	z因子: 1; 单位: degrees; 输入数据: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 输出数据: /onesis/kt4/test_data/terr/result/slope_wtbox.tif; 	\N	6	\N
afbf2fd0be3a47f5812641bd8c77c590		2024-10-08 10:24:53.969379	2024-10-08 10:24:49.795693	{"log":"false","i":"/onesis/kt4/job_results/dem_meixi_fel_notebook-kt1.tif","o":"/onesis/kt4/job_results/profilecur.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to ProfileCurvature *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.61s\nfailed to create fsnotify watcher: too many open files	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率-102444	对数转换输出: false; 输入栅格 DEM 文件: /onesis/kt4/job_results/dem_meixi_fel_notebook-kt1.tif; 输出栅格文件: /onesis/kt4/job_results/profilecur.tif; 	\N	6	\N
84d5d4d52be6470e9abaef39d231edad		2024-10-09 10:20:23.656444	2024-10-09 10:20:10.529776	{"p":"/onesis/kt4/results/p1843838836686323712.tif","fel":"/onesis/kt4/results/fel1843838836476608512.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843838836476608512.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.059528\nData read time: 0.168827\nCompute Slope time: 0.380194\nWrite Slope time: 0.093333\nResolve Flat time: 2.503846\nWrite Flat time: 0.046770\nTotal time: 3.252498\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843838836476608512.tif; D8单流向栅格: /onesis/kt4/results/p1843838836686323712.tif; 	\N	6	574dd910-ca07-46a0-ba57-2d63e3cfa193
a5f788b472214296afef8bf4f174af4b		2024-12-09 17:32:58.074008	2024-12-09 17:32:04.716729	{"b":"20","r":"/onesis/kt4/job_results/gwcorr12091730.shp","t":"true","f":"/onesis/kt4/test_data/regr/_whhp/res_eg/joined.shp","i":"Avg_Pop,Avg_AQI","k":"gaussian"}	t	\N	04b3ed6d-9a2d-3142-9a70-88bc14549199	地理加权相关性分析-173159	矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res_eg/joined.shp; 自变量: Avg_Pop,Avg_AQI; 核函数: gaussian; 带宽类型: true; 带宽大小: 20; 结果空间数据: /onesis/kt4/job_results/gwcorr12091730.shp; 	\N	7	\N
c8c1ac02fbaf4afb9138e2f199b43c9e		2024-10-10 21:29:10.09005	2024-10-10 21:29:05.019535	{"z":"/onesis/kt4/dsm_case/dem_xc.tif","fel":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_xc.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.067268\nData read time: 0.018175\nCompute time: 0.171468\nWrite time: 0.070207\nTotal time: 0.327118\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/dem_xc.tif; 数字高程模型: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
a2d910ecd3194f36b05307015f24322e		2024-10-09 10:20:23.653939	2024-10-09 10:20:10.497865	{"sd8":"/onesis/kt4/results/sd81843838836535328768.tif","fel":"/onesis/kt4/results/fel1843838836476608512.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843838836476608512.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.051615\nData read time: 0.167116\nCompute Slope time: 0.347614\nWrite Slope time: 0.109702\nResolve Flat time: 2.617353\nWrite Flat time: 0.049596\nTotal time: 3.342996\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843838836476608512.tif; 坡度栅格: /onesis/kt4/results/sd81843838836535328768.tif; 	\N	6	574dd910-ca07-46a0-ba57-2d63e3cfa193
c4897aaa87014dd3a853e0e1bbbe0dc0		2024-10-07 22:52:04.160122	2024-10-07 22:51:54.644789	{"zfactor":"1","i":"/onesis/kt4/job_results/fel1843303242591764480.tif","o":"/onesis/kt4/job_results/aspect.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.32s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	new_name	z因子: 1; 输出数据: /onesis/kt4/job_results/aspect.tif; 输入数据: /onesis/kt4/job_results/fel1843303242591764480.tif; 	\N	6	b230c894-ef84-4e0d-8a50-28138a249a4f
d201f6348ff64608ab03ad66fa9af47a		2024-10-09 10:20:28.724302	2024-10-09 10:20:10.468589	{"p":"/onesis/kt4/results/p1843838836686323712.tif","ad8":"/onesis/kt4/results/ad81843838836740849664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843838836686323712.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.098895\nCompute time: 0.303997\nWrite time: 0.073767\nTotal time: 0.476659\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843838836686323712.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843838836740849664.tif; 	\N	6	574dd910-ca07-46a0-ba57-2d63e3cfa193
4f8278ba116f4c67a988342e463e6ae5		2024-10-09 11:43:58.258834	2024-10-09 11:43:46.642475	{"sd8":"/onesis/kt4/results/sd81843859876686725120.tif","fel":"/onesis/kt4/results/fel1843859876632199168.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843859876632199168.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.057760\nData read time: 0.158665\nCompute Slope time: 0.381444\nWrite Slope time: 0.103053\nResolve Flat time: 2.545937\nWrite Flat time: 0.051704\nTotal time: 3.298562\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843859876632199168.tif; 坡度栅格: /onesis/kt4/results/sd81843859876686725120.tif; 	\N	6	69bd44b5-233e-4511-bd36-e0cc94fd2b9c
d55828bb5cda45da9a6d4fe52546f408		2024-12-30 13:20:05.335267	2024-12-30 10:53:47.480589	{"sd8":"/onesis/kt4/job_results/1_ipsm/sd81873563101920624640.tif","fel":"/onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif"}	f	\N	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif; 坡度栅格: /onesis/kt4/job_results/1_ipsm/sd81873563101920624640.tif; 	\N	9	a3ee365e-19fe-4a0c-b527-4858a59265e1
204e5f7642614f70ad68cd7e4b896943		2024-10-08 09:31:20.789399	2024-10-08 09:31:08.243645	{"p":"/onesis/kt4/job_results/p1843464108083642368.tif","fel":"/onesis/kt4/job_results/fel1843464107899092992.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1843464107899092992.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.063827\nData read time: 0.162437\nCompute Slope time: 0.391560\nWrite Slope time: 0.093403\nResolve Flat time: 2.432863\nWrite Flat time: 0.043759\nTotal time: 3.187849\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/fel1843464107899092992.tif; D8单流向栅格: /onesis/kt4/job_results/p1843464108083642368.tif; 	\N	6	2a03ba80-9139-4e66-8bf1-3479e50e90d1
5f0c49f67d744a8ba9eac4374924203b		2024-10-07 22:56:24.311518	2024-10-07 22:56:20.492324	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/dem/fel1843304356921868288.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.052393\nData read time: 0.084950\nCompute time: 0.304707\nWrite time: 0.086401\nTotal time: 0.528451\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/dem/fel1843304356921868288.tif; 	\N	6	01ee72c4-acb3-4127-89c4-bfe12463f60a
47406adb28e14da1885367e1ddef274c		2024-10-05 18:00:02.053202	2024-10-05 17:59:05.766306	{"pop":"/onesis/kt4/test_data/statis/district_pop_wuhan.csv","pop_index":"1.0","od_index":"0,1,2,3","od":"/onesis/kt4/test_data/statis/od_flow.csv","g":"0,1","od_pred":"/onesis/kt4/job_results/gravi_res"}	t	\N	4177efec-f426-3b97-901f-e8e1661a4b18	地理流的重力模型-175904	输入数据文件: /onesis/kt4/test_data/statis/od_flow.csv; 输入区域人口文件: /onesis/kt4/test_data/statis/district_pop_wuhan.csv; 参数: 0,1; 参数: 0,1,2,3; 参数: 1.0; 输出数据文件: /onesis/kt4/job_results/gravi_res; 	\N	7	\N
0c13d7502e0e4a009ba69d8868df0bfa		2024-10-08 11:33:25.542574	2024-10-08 09:53:31.471232	{"sd8":"/onesis/kt4/job_results/sd81843469742090878976.tif","fel":"/onesis/kt4/job_results/fel1843469741700808704.tif"}	f	\N	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/job_results/fel1843469741700808704.tif; 坡度栅格: /onesis/kt4/job_results/sd81843469742090878976.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
9553b68baa0b46eab19a13d288206839		2024-10-08 11:33:25.549514	2024-10-08 09:53:31.496711	{"i":"/onesis/kt4/job_results/fel1843469741700808704.tif","o":"/onesis/kt4/job_results/o1843469741969244160.tif"}	f	\N	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	输入数据: /onesis/kt4/job_results/fel1843469741700808704.tif; 输出数据: /onesis/kt4/job_results/o1843469741969244160.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
b924758702d646c98af225748622c4fb		2024-12-30 13:20:05.360931	2024-12-30 10:53:47.510065	{"fel":"/onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif","plan":"/onesis/kt4/job_results/1_ipsm/plan1873563101803184128.tif"}	f	\N	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif; 平面曲率栅格: /onesis/kt4/job_results/1_ipsm/plan1873563101803184128.tif; 	\N	9	a3ee365e-19fe-4a0c-b527-4858a59265e1
adfe7c134b2f4fef9c83a45e9a399eb5		\N	2024-10-10 08:58:12.731008	{"sca":"/onesis/kt4/results/ad81844180598843899904.tif","slp":"/onesis/kt4/results/sd81844180598688710656.tif","twi":"/onesis/kt4/results/t_20241010.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/t_20241010.tif; 坡度: /onesis/kt4/results/sd81844180598688710656.tif; 汇流累积量: /onesis/kt4/results/ad81844180598843899904.tif; 	\N	0	ac0b280c-e146-4c96-a79f-d57b111316e5
3a56a695545c449f9b8a408a26d71d19		2024-10-07 22:51:33.765448	2024-10-07 22:51:29.948638	{"z":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","fel":"/onesis/kt4/job_results/fel1843303138887598080.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.057333\nData read time: 0.080655\nCompute time: 0.355613\nWrite time: 0.103034\nTotal time: 0.596635\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/fel1843303138887598080.tif; 	\N	6	dbe2d437-cd2c-4dd9-ba36-978f7fd8df83
14b6b7a0064849c59609d68ef97d727d		2024-10-08 09:31:25.845362	2024-10-08 09:31:08.180703	{"p":"/onesis/kt4/job_results/p1843464108083642368.tif","ad8":"/onesis/kt4/job_results/ad81843464108142362624.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/job_results/p1843464108083642368.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.096450\nCompute time: 0.312875\nWrite time: 0.075636\nTotal time: 0.484961\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/p1843464108083642368.tif; d8汇流累积量栅格: /onesis/kt4/job_results/ad81843464108142362624.tif; 	\N	6	2a03ba80-9139-4e66-8bf1-3479e50e90d1
cfec860bf0eb4b5b8147b806b2a1b948		2024-10-07 22:51:38.84743	2024-10-07 22:51:29.922671	{"zfactor":"1","i":"/onesis/kt4/job_results/fel1843303138887598080.tif","o":"/onesis/kt4/job_results/aspect.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.41s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	new_name	z因子: 1; 输出数据: /onesis/kt4/job_results/aspect.tif; 输入数据: /onesis/kt4/job_results/fel1843303138887598080.tif; 	\N	6	dbe2d437-cd2c-4dd9-ba36-978f7fd8df83
974031429db946faab3e89c553bcf383		2024-10-07 22:51:59.102277	2024-10-07 22:51:54.667816	{"z":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","fel":"/onesis/kt4/job_results/fel1843303242591764480.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/terr/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.051355\nData read time: 0.066982\nCompute time: 0.307631\nWrite time: 0.096272\nTotal time: 0.522240\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/job_results/fel1843303242591764480.tif; 	\N	6	b230c894-ef84-4e0d-8a50-28138a249a4f
463a068d15324e1eacce78b0aaa10fe8		2024-10-07 22:58:44.150169	2024-10-07 22:58:22.260547	{"sca":"/onesis/kt4/dem/ad81843304868371103744.tif","slp":"/onesis/kt4/dem/sd81843304868207525888.tif","twi":"/onesis/kt4/dem/twi.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/dem/sd81843304868207525888.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/dem/ad81843304868371103744.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037862\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	new_name	地形湿度指数: /onesis/kt4/dem/twi.tif; 坡度: /onesis/kt4/dem/sd81843304868207525888.tif; 汇流累积量: /onesis/kt4/dem/ad81843304868371103744.tif; 	\N	6	5484332a-0470-4c58-9c03-442e7d625331
6d84da192e464cf6a0b987770db8019b		2024-10-07 22:56:31.437322	2024-10-07 22:56:20.429702	{"sd8":"/onesis/kt4/dem/sd81843304356972199936.tif","fel":"/onesis/kt4/dem/fel1843304356921868288.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dem/fel1843304356921868288.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.051963\nData read time: 0.160561\nCompute Slope time: 0.333016\nWrite Slope time: 0.102778\nResolve Flat time: 2.531627\nWrite Flat time: 0.049145\nTotal time: 3.229090\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/dem/fel1843304356921868288.tif; 坡度栅格: /onesis/kt4/dem/sd81843304356972199936.tif; 	\N	6	01ee72c4-acb3-4127-89c4-bfe12463f60a
ea52609755a8478aaa37fd8660e1f601		2024-10-09 10:20:33.800618	2024-10-09 10:20:10.321427	{"sca":"/onesis/kt4/results/ad81843838836740849664.tif","slp":"/onesis/kt4/results/sd81843838836535328768.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843838836535328768.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843838836740849664.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037853\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843838836535328768.tif; 汇流累积量: /onesis/kt4/results/ad81843838836740849664.tif; 	\N	6	574dd910-ca07-46a0-ba57-2d63e3cfa193
f05e77914b9047ff8216304766cd2e25		2024-10-07 22:56:42.630412	2024-10-07 22:56:20.367991	{"sca":"/onesis/kt4/dem/ad81843304357119000576.tif","slp":"/onesis/kt4/dem/sd81843304356972199936.tif","twi":"/onesis/kt4/dem/twi.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/dem/sd81843304356972199936.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/dem/ad81843304357119000576.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.039136\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	new_name	地形湿度指数: /onesis/kt4/dem/twi.tif; 坡度: /onesis/kt4/dem/sd81843304356972199936.tif; 汇流累积量: /onesis/kt4/dem/ad81843304357119000576.tif; 	\N	6	01ee72c4-acb3-4127-89c4-bfe12463f60a
5633e2c9ba2144529041c8bfceb0befd		2024-10-07 22:56:37.525682	2024-10-07 22:56:20.399703	{"p":"/onesis/kt4/dem/p1843304357068668928.tif","ad8":"/onesis/kt4/dem/ad81843304357119000576.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/dem/p1843304357068668928.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.145071\nCompute time: 0.332286\nWrite time: 0.075972\nTotal time: 0.553329\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/dem/p1843304357068668928.tif; d8汇流累积量栅格: /onesis/kt4/dem/ad81843304357119000576.tif; 	\N	6	01ee72c4-acb3-4127-89c4-bfe12463f60a
b747d9f6ade845c88e33e83377b328c5		2024-10-07 22:56:37.032227	2024-10-07 22:55:41.098786	{"pop":"/onesis/kt4/test_data/statis/district_pop_wuhan.csv","pop_index":"1.0","od_index":"0,1,2,3","od":"/onesis/kt4/test_data/statis/od_flow.csv","g":"0,1","od_pred":"/onesis/kt4/job_results/gravi_res"}	t	\N	4177efec-f426-3b97-901f-e8e1661a4b18	地理流的重力模型-225540	输入数据文件: /onesis/kt4/test_data/statis/od_flow.csv; 输入区域人口文件: /onesis/kt4/test_data/statis/district_pop_wuhan.csv; 参数: 0,1; 参数: 0,1,2,3; 参数: 1.0; 输出数据文件: /onesis/kt4/job_results/gravi_res; 	\N	7	\N
7dbf03aafd5b4d9894ac2620f761d177		2024-10-09 11:19:12.916746	2024-10-09 11:19:08.550732	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843853676704301056.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050510\nData read time: 0.067401\nCompute time: 0.307317\nWrite time: 0.090628\nTotal time: 0.515856\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843853676704301056.tif; 	\N	6	e1630d27-8ad9-4fab-a24c-51f151e103cb
e452e0a2b1974637b9c20933d0af4b4b		2024-12-30 13:20:05.384175	2024-12-30 10:53:47.53884	{"i":"/onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif","o":"/onesis/kt4/job_results/1_ipsm/o1873563101689937920.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif; 输出栅格文件: /onesis/kt4/job_results/1_ipsm/o1873563101689937920.tif; 	\N	9	a3ee365e-19fe-4a0c-b527-4858a59265e1
e25f792cde7e4292a5f64fd619d76112		2024-10-07 22:56:32.452289	2024-10-07 22:56:20.464069	{"p":"/onesis/kt4/dem/p1843304357068668928.tif","fel":"/onesis/kt4/dem/fel1843304356921868288.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dem/fel1843304356921868288.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054849\nData read time: 0.154358\nCompute Slope time: 0.384687\nWrite Slope time: 0.093898\nResolve Flat time: 2.428159\nWrite Flat time: 0.043586\nTotal time: 3.159538\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/dem/fel1843304356921868288.tif; D8单流向栅格: /onesis/kt4/dem/p1843304357068668928.tif; 	\N	6	01ee72c4-acb3-4127-89c4-bfe12463f60a
33b0b85267d54f21a9c42e1fb1d7f76c		2024-10-07 22:58:39.069474	2024-10-07 22:58:22.289591	{"p":"/onesis/kt4/dem/p1843304868312383488.tif","ad8":"/onesis/kt4/dem/ad81843304868371103744.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/dem/p1843304868312383488.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.097613\nCompute time: 0.294062\nWrite time: 0.075561\nTotal time: 0.467236\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/dem/p1843304868312383488.tif; d8汇流累积量栅格: /onesis/kt4/dem/ad81843304868371103744.tif; 	\N	6	5484332a-0470-4c58-9c03-442e7d625331
dffb3346920c44009efcfab6e9602f2b		2024-10-08 09:31:30.937322	2024-10-08 09:31:08.050548	{"sca":"/onesis/kt4/job_results/ad81843464108142362624.tif","slp":"/onesis/kt4/job_results/sd81843464107957813248.tif","twi":"/onesis/kt4/job_results/twi.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/job_results/sd81843464107957813248.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/job_results/ad81843464108142362624.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037819\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	new_name	地形湿度指数: /onesis/kt4/job_results/twi.tif; 坡度: /onesis/kt4/job_results/sd81843464107957813248.tif; 汇流累积量: /onesis/kt4/job_results/ad81843464108142362624.tif; 	\N	6	2a03ba80-9139-4e66-8bf1-3479e50e90d1
e836bc0184e0489181fc45e6d8352760		2024-10-07 22:58:26.887516	2024-10-07 22:58:22.376078	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/dem/fel1843304868157194240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.049721\nData read time: 0.066301\nCompute time: 0.307453\nWrite time: 0.094311\nTotal time: 0.517786\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/dem/fel1843304868157194240.tif; 	\N	6	5484332a-0470-4c58-9c03-442e7d625331
cc81a2fef13c4904b247e929ad8c8e68		2024-12-09 17:33:30.156336	2024-12-09 17:32:53.303947	{"b":"20","r":"/onesis/kt4/job_results/gwcorr12091730.shp","t":"true","f":"/onesis/kt4/test_data/regr/_whhp/res_eg/joined.shp","i":"Avg_Pop,Avg_AQI","k":"gaussian"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nWelcome to GWmodel version 2.4-2.\nLinking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE\n	04b3ed6d-9a2d-3142-9a70-88bc14549199	地理加权相关性分析-173245	矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res_eg/joined.shp; 自变量: Avg_Pop,Avg_AQI; 核函数: gaussian; 带宽类型: true; 带宽大小: 20; 结果空间数据: /onesis/kt4/job_results/gwcorr12091730.shp; 	\N	6	\N
09d173568c7345f4aed3d41d3a4ec5b0		2024-10-07 22:58:33.994616	2024-10-07 22:58:22.348141	{"p":"/onesis/kt4/dem/p1843304868312383488.tif","fel":"/onesis/kt4/dem/fel1843304868157194240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dem/fel1843304868157194240.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.091792\nData read time: 0.142787\nCompute Slope time: 0.449141\nWrite Slope time: 0.097148\nResolve Flat time: 2.530962\nWrite Flat time: 0.055980\nTotal time: 3.367810\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/dem/fel1843304868157194240.tif; D8单流向栅格: /onesis/kt4/dem/p1843304868312383488.tif; 	\N	6	5484332a-0470-4c58-9c03-442e7d625331
7482d5055d734d8381a0c7efa955666a		2024-10-09 10:29:44.146988	2024-10-09 10:29:39.398932	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843841223383711744.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050254\nData read time: 0.066876\nCompute time: 0.306610\nWrite time: 0.088052\nTotal time: 0.511791\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843841223383711744.tif; 	\N	6	4a2e5b07-75e7-46c2-8362-de9b80ada213
156441e19a8340cf85c28a7e2757fa89		\N	2024-10-10 08:58:12.846018	{"p":"/onesis/kt4/results/p1844180598793568256.tif","ad8":"/onesis/kt4/results/ad81844180598843899904.tif"}	f	\N	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844180598793568256.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844180598843899904.tif; 	\N	0	ac0b280c-e146-4c96-a79f-d57b111316e5
053a79bea7264329bf0163fe1f69ea62		2024-10-09 11:43:59.264025	2024-10-09 11:43:46.670871	{"p":"/onesis/kt4/results/p1843859876787388416.tif","fel":"/onesis/kt4/results/fel1843859876632199168.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843859876632199168.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.055730\nData read time: 0.152337\nCompute Slope time: 0.392204\nWrite Slope time: 0.094416\nResolve Flat time: 2.521799\nWrite Flat time: 0.047200\nTotal time: 3.263686\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843859876632199168.tif; D8单流向栅格: /onesis/kt4/results/p1843859876787388416.tif; 	\N	6	69bd44b5-233e-4511-bd36-e0cc94fd2b9c
a14c7294622542f79d8d98b040d0f00e		2024-10-09 11:44:04.35027	2024-10-09 11:43:46.61833	{"p":"/onesis/kt4/results/p1843859876787388416.tif","ad8":"/onesis/kt4/results/ad81843859876837720064.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843859876787388416.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.099972\nCompute time: 0.290525\nWrite time: 0.075401\nTotal time: 0.465899\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843859876787388416.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843859876837720064.tif; 	\N	6	69bd44b5-233e-4511-bd36-e0cc94fd2b9c
5228f56b089b497b9c27f72bff1c4f8f		2024-10-07 22:58:34.999794	2024-10-07 22:58:22.316232	{"sd8":"/onesis/kt4/dem/sd81843304868207525888.tif","fel":"/onesis/kt4/dem/fel1843304868157194240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dem/fel1843304868157194240.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.091673\nData read time: 0.143730\nCompute Slope time: 0.453108\nWrite Slope time: 0.110306\nResolve Flat time: 2.553446\nWrite Flat time: 0.040722\nTotal time: 3.392984\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/dem/fel1843304868157194240.tif; 坡度栅格: /onesis/kt4/dem/sd81843304868207525888.tif; 	\N	6	5484332a-0470-4c58-9c03-442e7d625331
3608086ebb4e4af5aa4e14bc883147d2		2024-10-08 11:33:25.530337	2024-10-08 09:53:31.391121	{"inlayer3":"/onesis/kt4/job_results/o1843469741969244160.tif","inlayer2":"/onesis/kt4/job_results/RESULT1843469742468366336.tif","inlayer1":"/onesis/kt4/job_results/sd81843469742090878976.tif","inlayer0":"/onesis/kt4/job_results/fel1843469741700808704.tif","inlayer7":"/onesis/kt4/job_results/twi1843469742782939136.tif","inlayer6":"/onesis/kt4/job_results/o1843469742673887232.tif","inlayer5":"/onesis/kt4/job_results/o1843469741755334656.tif","simithred":"0.3","inlayer4":"/onesis/kt4/job_results/plan1843469741860192256.tif","sample":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","target":"SOM","uncmap":"/onesis/kt4/job_results/output2.tif","predmap":"/onesis/kt4/job_results/output1.tif"}	f	\N	7d9c8b88-f377-3870-81a6-ac7db3b9956a	iPSM	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 待推测土壤属性: SOM; 土壤属性空间分布: /onesis/kt4/job_results/output1.tif; 空间推测不确定性: /onesis/kt4/job_results/output2.tif; DEM栅格: /onesis/kt4/job_results/fel1843469741700808704.tif; 坡度栅格: /onesis/kt4/job_results/sd81843469742090878976.tif; 汇聚指数: /onesis/kt4/job_results/RESULT1843469742468366336.tif; 坡向: /onesis/kt4/job_results/o1843469741969244160.tif; 平面曲率: /onesis/kt4/job_results/plan1843469741860192256.tif; 剖面曲率: /onesis/kt4/job_results/o1843469741755334656.tif; 水动力指数: /onesis/kt4/job_results/o1843469742673887232.tif; 地形湿度指数: /onesis/kt4/job_results/twi1843469742782939136.tif; 	\N	9	41b0fef0-0acc-4839-816f-811c8eea8107
3c9ad35241de43e58501d0e7f9751f18		2024-10-08 09:53:42.819925	2024-10-08 09:53:31.737157	{"p":"/onesis/kt4/job_results/p1843469742577418240.tif","fel":"/onesis/kt4/job_results/fel1843469741700808704.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/job_results/fel1843469741700808704.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 110608 flats to resolve.\nDraining flats towards lower adjacent terrain\n...................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 3414\nDraining flats towards lower adjacent terrain\n.....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.037443\nData read time: 0.093897\nCompute Slope time: 0.150448\nWrite Slope time: 0.058780\nResolve Flat time: 2.287532\nWrite Flat time: 0.033033\nTotal time: 2.661133\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/fel1843469741700808704.tif; D8单流向栅格: /onesis/kt4/job_results/p1843469742577418240.tif; 	\N	6	41b0fef0-0acc-4839-816f-811c8eea8107
28dffca9da5a4a7b95a0564f6808d3f1		2024-10-08 09:53:46.886234	2024-10-08 09:53:31.663076	{"p":"/onesis/kt4/job_results/p1843469742577418240.tif","ad8":"/onesis/kt4/job_results/ad81843469742627749888.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/job_results/p1843469742577418240.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.065095\nCompute time: 0.183274\nWrite time: 0.054425\nTotal time: 0.302794\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/p1843469742577418240.tif; d8汇流累积量栅格: /onesis/kt4/job_results/ad81843469742627749888.tif; 	\N	6	41b0fef0-0acc-4839-816f-811c8eea8107
68b89db859544c50a0065049c82767b9		2024-10-09 10:42:14.040476	2024-10-09 10:41:50.61806	{"sca":"/onesis/kt4/results/ad81843844290908913664.tif","slp":"/onesis/kt4/results/sd81843844290753724416.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843844290753724416.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843844290908913664.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.041920\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843844290753724416.tif; 汇流累积量: /onesis/kt4/results/ad81843844290908913664.tif; 	\N	6	6db4a993-260e-4062-a578-0d6035ddda76
9c22be50e8014195871b6583b180eace		2024-10-09 10:43:22.093472	2024-10-09 10:43:17.77213	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843844655725281280.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.049698\nData read time: 0.066057\nCompute time: 0.313441\nWrite time: 0.093165\nTotal time: 0.522361\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843844655725281280.tif; 	\N	6	8af8f882-6860-4437-99e4-b2f7d70a0011
b8692d0c24df4fbea0a8ba3740e4e9cd		2024-12-09 17:36:13.81939	2024-12-09 17:35:01.647897	{"d":"/onesis/kt4/test_data/regr/_whhp/whhp.shp","t":"/onesis/kt4/test_data/regr/_whhp/res/r1866053930014867456.shp","i":"OBJECTID","o":"/onesis/kt4/test_data/regr/_whhp/res/o1866053930098753536.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.3, GDAL 3.5.3, PROJ 9.0.0; sf_use_s2() is TRUE\n	0295f9ea-4ca6-3301-ac31-bc768bf9254c	最近距离计算	输入矢量数据: /onesis/kt4/test_data/regr/_whhp/whhp.shp; 目标矢量数据: /onesis/kt4/test_data/regr/_whhp/res/r1866053930014867456.shp; 结果数据: /onesis/kt4/test_data/regr/_whhp/res/o1866053930098753536.csv; 保留的id变量: OBJECTID; 	\N	6	74b2e657-daf3-4e0d-b5dd-725dfe6afcd6
f7fe19c1831c4e20a05aad2878d1faf9		2024-10-09 11:26:53.800308	2024-10-09 11:26:49.536953	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843855610337165312.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.051848\nData read time: 0.071108\nCompute time: 0.313338\nWrite time: 0.091023\nTotal time: 0.527316\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843855610337165312.tif; 	\N	6	bbcbd99b-8500-4090-b0ff-988ea9a97b51
f60487cbf8c14cb3849c5e6d0f496a3a		2024-10-09 11:24:17.758879	2024-10-09 11:24:13.444427	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843854955564367872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.056414\nData read time: 0.071930\nCompute time: 0.315097\nWrite time: 0.091705\nTotal time: 0.535145\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843854955564367872.tif; 	\N	6	86fa3386-30e8-410d-9400-1c63c0482861
359601e5be614fb28f32c252e0fa4215		2024-10-09 10:48:23.785761	2024-10-09 10:48:05.83399	{"p":"/onesis/kt4/results/p1843845864385282048.tif","ad8":"/onesis/kt4/results/ad81843845864439808000.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843845864385282048.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.100904\nCompute time: 0.308457\nWrite time: 0.077230\nTotal time: 0.486591\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843845864385282048.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843845864439808000.tif; 	\N	6	7fe3b2af-0a2e-4980-adc1-4ab06fb38d40
f566a2daf6444d90a3ce2912e0e526b4		2024-10-08 13:08:35.035795	2024-10-08 01:07:13.200925	{"out_type":"cells","pntr":"false","i":"/onesis/kt4/test_data/terr/filledDEM.tif","esri_pntr":"false","o":"/onesis/kt4/job_results/10-1-6.tif"}	t	Pod Status: Running\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nFlow directions: 0%\nFlow directions: 1%\nthread 'thread 'thread 'thread '<unnamed><unnamed><unnamed>' panicked at '' panicked at '' panicked at 'index out of bounds: the len is 129 but the index is 1111index out of bounds: the len is 129 but the index is 1132', index out of bounds: the len is 129 but the index is 1123', ', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nnote: run with `RUST_BACKTRACE=1` environment variable to display a backtrace\nwhitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:58\n:434thread ':58\n<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1106thread '', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs<unnamed>:' panicked at '434index out of bounds: the len is 129 but the index is 1117:', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs58:\n434thread ':58\n<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1139', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed><unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1149', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\n' panicked at 'index out of bounds: the len is 129 but the index is 1142', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-010711	输出类型: cells; 输入栅格格式: false; 输入D8方向文件: false; 输入数据: /onesis/kt4/test_data/terr/filledDEM.tif; 输出数据: /onesis/kt4/job_results/10-1-6.tif; 	\N	7	\N
38591677d25a42599482a85a6cfec171		2024-10-09 10:29:51.258984	2024-10-09 10:29:39.348344	{"sd8":"/onesis/kt4/results/sd81843841223429849088.tif","fel":"/onesis/kt4/results/fel1843841223383711744.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843841223383711744.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.051902\nData read time: 0.163708\nCompute Slope time: 0.383357\nWrite Slope time: 0.105619\nResolve Flat time: 2.534735\nWrite Flat time: 0.049362\nTotal time: 3.288683\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843841223383711744.tif; 坡度栅格: /onesis/kt4/results/sd81843841223429849088.tif; 	\N	6	4a2e5b07-75e7-46c2-8362-de9b80ada213
49c21b0c319346a98d4b1fd1acd7b999		2024-10-10 09:05:49.832409	2024-10-10 09:05:27.017722	{"sca":"/onesis/kt4/results/ad81844182420555956224.tif","slp":"/onesis/kt4/results/sd81844182420409155584.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81844182420409155584.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81844182420555956224.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.039433\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81844182420409155584.tif; 汇流累积量: /onesis/kt4/results/ad81844182420555956224.tif; 	\N	6	239f977e-4093-42f5-bf68-7581b6709ab5
585177a1b07f430da66e1cfa8e5c6e9e		2024-10-09 10:29:57.357726	2024-10-09 10:29:39.327343	{"p":"/onesis/kt4/results/p1843841223522123776.tif","ad8":"/onesis/kt4/results/ad81843841223568261120.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843841223522123776.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.104511\nCompute time: 0.282448\nWrite time: 0.070830\nTotal time: 0.457789\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843841223522123776.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843841223568261120.tif; 	\N	6	4a2e5b07-75e7-46c2-8362-de9b80ada213
d96f450f1d3d4dbb83f6d95248178393		2024-10-09 11:34:05.839026	2024-10-09 11:33:42.748007	{"sca":"/onesis/kt4/results/ad81843857344107249664.tif","slp":"/onesis/kt4/results/sd81843857343947866112.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843857343947866112.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843857344107249664.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037976\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843857343947866112.tif; 汇流累积量: /onesis/kt4/results/ad81843857344107249664.tif; 	\N	6	895244c4-4c68-4665-852a-d7182db4772b
3396cdac960745419a33d17c5a49a7d7		2024-10-08 16:11:58.986883	2024-10-08 10:52:38.224425	{"out_type":"cells","pntr":"false","i":"/onesis/kt4/job_results/dem_meixi_fel_notebook-kt1.tif","esri_pntr":"false","o":"/onesis/kt4/job_results/d8_white.tif"}	t	Pod Status: Running\nInitialized: True\nReady: True\nContainersReady: True\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nthread 'thread '<unnamed><unnamed>' panicked at '' panicked at 'index out of bounds: the len is 129 but the index is 1106index out of bounds: the len is 129 but the index is 1149', ', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rswhitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs::434:43458:\nthread '58note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace\n<unnamed>\n' panicked at 'index out of bounds: the len is 129 but the index is 1142', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1139', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1132', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1123', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1117', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nFlow directions: 0%\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1111', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nFlow directions: 1%\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-105235	输出类型: cells; 输入栅格格式: false; 输入D8方向文件: false; 输入数据: /onesis/kt4/job_results/dem_meixi_fel_notebook-kt1.tif; 输出数据: /onesis/kt4/job_results/d8_white.tif; 	\N	8	\N
610ffbaf740548cb952c02a75b4c2a03		2024-10-09 11:44:09.442763	2024-10-09 11:43:46.592676	{"sca":"/onesis/kt4/results/ad81843859876837720064.tif","slp":"/onesis/kt4/results/sd81843859876686725120.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843859876686725120.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843859876837720064.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.039426\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843859876686725120.tif; 汇流累积量: /onesis/kt4/results/ad81843859876837720064.tif; 	\N	6	69bd44b5-233e-4511-bd36-e0cc94fd2b9c
09116a5e944e4f33913590914e3aa7c7		2024-10-08 13:13:12.032989	2024-10-08 01:11:51.350924	{"out_type":"cells","pntr":"false","i":"/onesis/kt4/test_data/terr/filledDEM.tif","esri_pntr":"false","o":"/onesis/kt4/job_results/10-1-6.tif"}	t	Pod Status: Running\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nthread 'thread '<unnamed><unnamed>' panicked at '' panicked at 'index out of bounds: the len is 129 but the index is 1106', index out of bounds: the len is 129 but the index is 1149whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs', :whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs434::43458\n:note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace\n58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1142', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1139', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nthread 'thread '<unnamed><unnamed>' panicked at '' panicked at 'index out of bounds: the len is 129 but the index is 1123index out of bounds: the len is 129 but the index is 1132', ', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rswhitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs::434434::5858\n\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1117', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nFlow directions: 0%\nFlow directions: 1%\nthread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1111', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-011144	输出类型: cells; 输入栅格格式: false; 输入D8方向文件: false; 输入数据: /onesis/kt4/test_data/terr/filledDEM.tif; 输出数据: /onesis/kt4/job_results/10-1-6.tif; 	\N	7	\N
1ef9bcbd21104c8eb40b140b34bce1f0		2024-10-09 11:36:40.87512	2024-10-09 11:36:36.166941	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843858070380347392.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050023\nData read time: 0.065126\nCompute time: 0.307676\nWrite time: 0.090636\nTotal time: 0.513461\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843858070380347392.tif; 	\N	6	ee8b462e-3b89-4f8e-ab1d-555656a555c8
33391515bdeb4c54bcc82d4b8023337f		2024-10-09 14:41:12.007956	2024-10-09 14:41:07.077327	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843904505553485824.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.052846\nData read time: 0.072707\nCompute time: 0.319909\nWrite time: 0.090695\nTotal time: 0.536157\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843904505553485824.tif; 	\N	6	4671caac-8bb7-408e-b5c7-42d7179cbaee
6f3ece61cb2a490481a831bfcf252470		2024-10-09 10:29:52.269361	2024-10-09 10:29:39.3734	{"p":"/onesis/kt4/results/p1843841223522123776.tif","fel":"/onesis/kt4/results/fel1843841223383711744.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843841223383711744.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056459\nData read time: 0.156524\nCompute Slope time: 0.409450\nWrite Slope time: 0.095133\nResolve Flat time: 2.503531\nWrite Flat time: 0.046444\nTotal time: 3.267541\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843841223383711744.tif; D8单流向栅格: /onesis/kt4/results/p1843841223522123776.tif; 	\N	6	4a2e5b07-75e7-46c2-8362-de9b80ada213
279b9ed2900a44b5b407b7616f692ddc		2024-10-09 11:19:25.850611	2024-10-09 11:19:08.463102	{"p":"/onesis/kt4/results/p1843853676893044736.tif","ad8":"/onesis/kt4/results/ad81843853676951764992.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843853676893044736.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.099708\nCompute time: 0.283423\nWrite time: 0.073066\nTotal time: 0.456196\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843853676893044736.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843853676951764992.tif; 	\N	6	e1630d27-8ad9-4fab-a24c-51f151e103cb
de78aa14b3434a25a029f16f77f48528		2024-10-08 01:44:27.479919	2024-10-08 01:43:45.682959	{"output":"/onesis/kt4/job_results/10_3_1.tif","res_factor":"4","DEM":"/onesis/kt4/test_data/terr/dem.tif","height":"10"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n******************************\n* Welcome to VisibilityIndex *\n* Powered by WhiteboxTools   *\n* www.whiteboxgeo.com        *\n******************************\nReading data...\nPerforming analysis. Please be patient...\nProgress (Loop 1 of 2): 0%\nProgress (Loop 1 of 2): 1%\nProgress (Loop 1 of 2): 2%\nProgress (Loop 1 of 2): 3%\nProgress (Loop 1 of 2): 4%\nProgress (Loop 1 of 2): 5%\nProgress (Loop 1 of 2): 6%\nProgress (Loop 1 of 2): 7%\nProgress (Loop 1 of 2): 8%\nProgress (Loop 1 of 2): 9%\nProgress (Loop 1 of 2): 10%\nProgress (Loop 1 of 2): 11%\nProgress (Loop 1 of 2): 12%\nProgress (Loop 1 of 2): 13%\nProgress (Loop 1 of 2): 14%\nProgress (Loop 1 of 2): 15%\nProgress (Loop 1 of 2): 16%\nProgress (Loop 1 of 2): 17%\nProgress (Loop 1 of 2): 18%\nProgress (Loop 1 of 2): 19%\nProgress (Loop 1 of 2): 20%\nProgress (Loop 1 of 2): 21%\nProgress (Loop 1 of 2): 22%\nProgress (Loop 1 of 2): 23%\nProgress (Loop 1 of 2): 24%\nProgress (Loop 1 of 2): 25%\nProgress (Loop 1 of 2): 26%\nProgress (Loop 1 of 2): 27%\nProgress (Loop 1 of 2): 28%\nProgress (Loop 1 of 2): 29%\nProgress (Loop 1 of 2): 30%\nProgress (Loop 1 of 2): 31%\nProgress (Loop 1 of 2): 32%\nProgress (Loop 1 of 2): 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written\nElapsed Time (excluding I/O): 40min 27.601s\nfailed to create fsnotify watcher: too many open files	ddb7b883-430a-33bb-8fc3-80d8a11dbcae	可视性指数-014345	DEM: /onesis/kt4/test_data/terr/dem.tif; 高度: 10; 分辨率系数: 4; 输出栅格: /onesis/kt4/job_results/10_3_1.tif; 	\N	8	\N
f287e1f3de0649f4820852eefe99829a		2024-12-30 13:20:05.406361	2024-12-30 10:53:47.609568	{"p":"/onesis/kt4/job_results/1_ipsm/p1873563102151311360.tif","ad8":"/onesis/kt4/job_results/1_ipsm/ad81873563102210031616.tif"}	f	\N	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/job_results/1_ipsm/p1873563102151311360.tif; d8汇流累积量栅格: /onesis/kt4/job_results/1_ipsm/ad81873563102210031616.tif; 	\N	9	a3ee365e-19fe-4a0c-b527-4858a59265e1
f5d95b879dc34bb29b557df23d9fe964		2024-10-08 11:30:56.684165	2024-10-08 11:30:52.390634	{"log":"false","i":"/onesis/kt4/test_data/terr/dem.tif","o":"/onesis/kt4/job_results/10_2_6.tif"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to ProfileCurvature *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.31s\nfailed to create fsnotify watcher: too many open files	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率-113052	对数转换输出: false; 输入栅格 DEM 文件: /onesis/kt4/test_data/terr/dem.tif; 输出栅格文件: /onesis/kt4/job_results/10_2_6.tif; 	\N	6	\N
ff1c3fc97b23433587880139ee51f123		2024-10-09 11:45:50.741193	2024-10-09 11:45:46.328501	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843860378384203776.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050381\nData read time: 0.071030\nCompute time: 0.312580\nWrite time: 0.089835\nTotal time: 0.523827\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843860378384203776.tif; 	\N	6	f8b692c1-dba9-4f1c-aabf-39bc79b717c2
9e3e19561fbe4604902da7b0acf9abd3		2024-10-09 11:36:54.073306	2024-10-09 11:36:36.087253	{"p":"/onesis/kt4/results/p1843858070522953728.tif","ad8":"/onesis/kt4/results/ad81843858070569091072.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843858070522953728.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.101495\nCompute time: 0.283736\nWrite time: 0.077316\nTotal time: 0.462546\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843858070522953728.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843858070569091072.tif; 	\N	6	ee8b462e-3b89-4f8e-ab1d-555656a555c8
c78f754de2a64cc4b0d57ab5807221dd		2024-10-09 11:47:35.248913	2024-10-09 11:47:30.895772	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843860816990961664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050055\nData read time: 0.068429\nCompute time: 0.308036\nWrite time: 0.089175\nTotal time: 0.515696\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843860816990961664.tif; 	\N	6	6e59c58f-56a0-40f6-a42e-1ad71a0b0ea4
124be2e2aed44bb28466af86bd1806ac		2024-10-09 11:47:48.464577	2024-10-09 11:47:30.816756	{"p":"/onesis/kt4/results/p1843860817141956608.tif","ad8":"/onesis/kt4/results/ad81843860817192288256.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843860817141956608.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.099624\nCompute time: 0.300918\nWrite time: 0.076374\nTotal time: 0.476915\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843860817141956608.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843860817192288256.tif; 	\N	6	6e59c58f-56a0-40f6-a42e-1ad71a0b0ea4
c7d2e9f4580e462bb30db753dafa5ece		2024-10-09 14:43:12.577261	2024-10-09 14:43:07.709688	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843905010933563392.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.051619\nData read time: 0.072306\nCompute time: 0.321910\nWrite time: 0.091618\nTotal time: 0.537454\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843905010933563392.tif; 	\N	6	8be2d77b-a0a0-4125-bbdd-c6cd3eda3cd0
aaf720eefeb74b7a8db315d6ecb0c2ff		2024-10-05 10:42:22.040282	2024-10-04 22:41:01.738454	{"out_type":"cells","pntr":"false","i":"/onesis/kt4/test_data/terr/terr/filledDEM.tif","esri_pntr":"false","o":"/onesis/kt4/test_data/terr/result/sca.tif"}	t	Pod Status: Running\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nFlow directions: 0%\nFlow directions: 1%\nthread 'thread 'thread 'thread '<unnamed><unnamed><unnamed>' panicked at '' panicked at '' panicked at 'index out of bounds: the len is 129 but the index is 1123index out of bounds: the len is 129 but the index is 1142index out of bounds: the len is 129 but the index is 1117', ', ', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\nnote: run with `RUST_BACKTRACE=1` environment variable to display a backtrace\nwhitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rswhitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rsthread '<unnamed>' panicked at ':index out of bounds: the len is 129 but the index is 1111', 434whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs::43458:\n:434:58\n<unnamed>thread '<unnamed>' panicked at 'index out of bounds: the len is 129 but the index is 1139', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434:58\n' panicked at 'thread 'index out of bounds: the len is 129 but the index is 1132', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs:434thread ':58<unnamed><unnamed>\n' panicked at '' panicked at 'index out of bounds: the len is 129 but the index is 1106index out of bounds: the len is 129 but the index is 1149', ', whitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rswhitebox-tools-app/src/tools/hydro_analysis/d8_flow_accum.rs::434434::5858\n\n58\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	汇流累积量_D8（单位汇水面积）-224100	输出类型: cells; 输入栅格格式: false; 输入D8方向文件: false; 输入数据: /onesis/kt4/test_data/terr/terr/filledDEM.tif; 输出数据: /onesis/kt4/test_data/terr/result/sca.tif; 	\N	7	\N
21548dd45de54a7494ef5fb7246ff0d2		2024-10-10 21:29:17.385686	2024-10-10 21:29:05.088851	{"i":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif","o":"/onesis/kt4/dsm_case/result/o1844369560610930688.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to ProfileCurvature *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.32s\nfailed to create fsnotify watcher: too many open files	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 输出栅格文件: /onesis/kt4/dsm_case/result/o1844369560610930688.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
e9ee8b24a9494dca81f0d05cfd7f90f1		2024-10-08 01:43:05.908859	2024-10-08 01:36:56.874748	{"output":"/onesis/kt4/job_results/10_3_1.tif","res_factor":"4","DEM":"/onesis/kt4/test_data/terr/dem.tif","height":"10"}	t	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n******************************\n* Welcome to VisibilityIndex *\n* Powered by WhiteboxTools   *\n* www.whiteboxgeo.com        *\n******************************\nReading data...\nPerforming analysis. Please be patient...\nProgress (Loop 1 of 2): 0%\nProgress (Loop 1 of 2): 1%\nProgress (Loop 1 of 2): 2%\nProgress (Loop 1 of 2): 3%\nProgress (Loop 1 of 2): 4%\nProgress (Loop 1 of 2): 5%\nProgress (Loop 1 of 2): 6%\nProgress (Loop 1 of 2): 7%\nProgress (Loop 1 of 2): 8%\nProgress (Loop 1 of 2): 9%\nProgress (Loop 1 of 2): 10%\nProgress (Loop 1 of 2): 11%\nProgress (Loop 1 of 2): 12%\nProgress (Loop 1 of 2): 13%\nProgress (Loop 1 of 2): 14%\nProgress (Loop 1 of 2): 15%\nProgress (Loop 1 of 2): 16%\nProgress (Loop 1 of 2): 17%\nProgress (Loop 1 of 2): 18%\nProgress (Loop 1 of 2): 19%\nProgress (Loop 1 of 2): 20%\nProgress (Loop 1 of 2): 21%\nProgress (Loop 1 of 2): 22%\nProgress (Loop 1 of 2): 23%\nProgress (Loop 1 of 2): 24%\nProgress (Loop 1 of 2): 25%\nProgress (Loop 1 of 2): 26%\nProgress (Loop 1 of 2): 27%\nProgress (Loop 1 of 2): 28%\nProgress (Loop 1 of 2): 29%\nProgress (Loop 1 of 2): 30%\nProgress (Loop 1 of 2): 31%\nProgress (Loop 1 of 2): 32%\nProgress (Loop 1 of 2): 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of 2): 33%\nProgress (Loop 2 of 2): 34%\nProgress (Loop 2 of 2): 35%\nProgress (Loop 2 of 2): 36%\nProgress (Loop 2 of 2): 37%\nProgress (Loop 2 of 2): 38%\nProgress (Loop 2 of 2): 39%\nProgress (Loop 2 of 2): 40%\nProgress (Loop 2 of 2): 41%\nProgress (Loop 2 of 2): 42%\nProgress (Loop 2 of 2): 43%\nProgress (Loop 2 of 2): 44%\nProgress (Loop 2 of 2): 45%\nProgress (Loop 2 of 2): 46%\nProgress (Loop 2 of 2): 47%\nProgress (Loop 2 of 2): 48%\nProgress (Loop 2 of 2): 49%\nProgress (Loop 2 of 2): 50%\nProgress (Loop 2 of 2): 51%\nProgress (Loop 2 of 2): 52%\nProgress (Loop 2 of 2): 53%\nProgress (Loop 2 of 2): 54%\nProgress (Loop 2 of 2): 55%\nProgress (Loop 2 of 2): 56%\nProgress (Loop 2 of 2): 57%\nProgress (Loop 2 of 2): 58%\nProgress (Loop 2 of 2): 59%\nProgress (Loop 2 of 2): 60%\nProgress (Loop 2 of 2): 61%\nProgress (Loop 2 of 2): 62%\nProgress (Loop 2 of 2): 63%\nProgress (Loop 2 of 2): 64%\nProgress (Loop 2 of 2): 65%\nProgress (Loop 2 of 2): 66%\nProgress (Loop 2 of 2): 67%\nProgress (Loop 2 of 2): 68%\nProgress (Loop 2 of 2): 69%\nProgress (Loop 2 of 2): 70%\nProgress (Loop 2 of 2): 71%\nProgress (Loop 2 of 2): 72%\nProgress (Loop 2 of 2): 73%\nProgress (Loop 2 of 2): 74%\nProgress (Loop 2 of 2): 75%\nProgress (Loop 2 of 2): 76%\nProgress (Loop 2 of 2): 77%\nProgress (Loop 2 of 2): 78%\nProgress (Loop 2 of 2): 79%\nProgress (Loop 2 of 2): 80%\nProgress (Loop 2 of 2): 81%\nProgress (Loop 2 of 2): 82%\nProgress (Loop 2 of 2): 83%\nProgress (Loop 2 of 2): 84%\nProgress (Loop 2 of 2): 85%\nProgress (Loop 2 of 2): 86%\nProgress (Loop 2 of 2): 87%\nProgress (Loop 2 of 2): 88%\nProgress (Loop 2 of 2): 89%\nProgress (Loop 2 of 2): 90%\nProgress (Loop 2 of 2): 91%\nProgress (Loop 2 of 2): 92%\nProgress (Loop 2 of 2): 93%\nProgress (Loop 2 of 2): 94%\nProgress (Loop 2 of 2): 95%\nProgress (Loop 2 of 2): 96%\nProgress (Loop 2 of 2): 97%\nProgress (Loop 2 of 2): 98%\nProgress (Loop 2 of 2): 99%\nProgress (Loop 2 of 2): 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 38min 12.512s\nfailed to create fsnotify watcher: too many open files	ddb7b883-430a-33bb-8fc3-80d8a11dbcae	可视性指数-013655	DEM: /onesis/kt4/test_data/terr/dem.tif; 高度: 10; 分辨率系数: 4; 输出栅格: /onesis/kt4/job_results/10_3_1.tif; 	\N	8	\N
34ce18c400b54aaebd3ee0d00ad7e0b0		2024-10-09 10:30:02.427698	2024-10-09 10:29:39.302315	{"sca":"/onesis/kt4/results/ad81843841223568261120.tif","slp":"/onesis/kt4/results/sd81843841223429849088.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843841223429849088.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843841223568261120.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.040870\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843841223429849088.tif; 汇流累积量: /onesis/kt4/results/ad81843841223568261120.tif; 	\N	6	4a2e5b07-75e7-46c2-8362-de9b80ada213
28d73afe0f5747fc82681966258e6779		2024-10-09 10:48:10.553038	2024-10-09 10:48:05.91958	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843845864217509888.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.054187\nData read time: 0.074514\nCompute time: 0.320926\nWrite time: 0.093692\nTotal time: 0.543320\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843845864217509888.tif; 	\N	6	7fe3b2af-0a2e-4980-adc1-4ab06fb38d40
1669953b90274a9f8a749bd6716a6ad8		2024-10-09 10:42:03.877598	2024-10-09 10:41:50.670758	{"sd8":"/onesis/kt4/results/sd81843844290753724416.tif","fel":"/onesis/kt4/results/fel1843844290703392768.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843844290703392768.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.061801\nData read time: 0.155960\nCompute Slope time: 0.398664\nWrite Slope time: 0.103985\nResolve Flat time: 2.413231\nWrite Flat time: 0.037488\nTotal time: 3.171129\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843844290703392768.tif; 坡度栅格: /onesis/kt4/results/sd81843844290753724416.tif; 	\N	6	6db4a993-260e-4062-a578-0d6035ddda76
02a85b13a014468b8003f9b87a33483a		2024-10-09 16:25:03.671639	2024-10-09 16:24:50.76706	{"p":"/onesis/kt4/results/p1843930609882365952.tif","fel":"/onesis/kt4/results/fel1843930609739759616.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843930609739759616.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056264\nData read time: 0.151638\nCompute Slope time: 0.391559\nWrite Slope time: 0.093509\nResolve Flat time: 2.483111\nWrite Flat time: 0.046922\nTotal time: 3.223002\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843930609739759616.tif; D8单流向栅格: /onesis/kt4/results/p1843930609882365952.tif; 	\N	6	f0b83f2a-e66d-4eb0-9956-d6dca2bea33c
5cb4339383fb4a33b765810bdd1c5d91		2024-10-10 21:23:14.086455	2024-10-10 21:23:09.703019	{"z":"/onesis/kt4/test_data/terr/dem.tif","fel":"/onesis/kt4/job_results/fel1844368070395691008.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/test_data/terr/dem.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.064417\nData read time: 0.075026\nCompute time: 0.317274\nWrite time: 0.093847\nTotal time: 0.550565\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	new_name	数字高程模型: /onesis/kt4/test_data/terr/dem.tif; 数字高程模型: /onesis/kt4/job_results/fel1844368070395691008.tif; 	\N	6	e1f22a6b-24f2-472e-8d95-2055f44cff94
1d18d4853c40483a941191d194b6c9ce		2024-10-09 10:42:03.879138	2024-10-09 10:41:50.698042	{"p":"/onesis/kt4/results/p1843844290858582016.tif","fel":"/onesis/kt4/results/fel1843844290703392768.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843844290703392768.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.051706\nData read time: 0.149630\nCompute Slope time: 0.307574\nWrite Slope time: 0.096108\nResolve Flat time: 2.551120\nWrite Flat time: 0.057913\nTotal time: 3.214051\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843844290703392768.tif; D8单流向栅格: /onesis/kt4/results/p1843844290858582016.tif; 	\N	6	6db4a993-260e-4062-a578-0d6035ddda76
e24d64dab17f4ff9a324f9d466220737		2024-10-09 10:42:08.962278	2024-10-09 10:41:50.647821	{"p":"/onesis/kt4/results/p1843844290858582016.tif","ad8":"/onesis/kt4/results/ad81843844290908913664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843844290858582016.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.105237\nCompute time: 0.320647\nWrite time: 0.075156\nTotal time: 0.501040\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843844290858582016.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843844290908913664.tif; 	\N	6	6db4a993-260e-4062-a578-0d6035ddda76
900b8594fb0d4d098c9e507811b71734		2024-10-09 10:43:40.391777	2024-10-09 10:43:17.650496	{"sca":"/onesis/kt4/results/ad81843844655943385088.tif","slp":"/onesis/kt4/results/sd81843844655788195840.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843844655788195840.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843844655943385088.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037990\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843844655788195840.tif; 汇流累积量: /onesis/kt4/results/ad81843844655943385088.tif; 	\N	6	8af8f882-6860-4437-99e4-b2f7d70a0011
dcadd121fe59480884c54c091eee5ef9		2024-10-09 11:40:33.776206	2024-10-09 11:40:16.114977	{"p":"/onesis/kt4/results/p1843858993861230592.tif","ad8":"/onesis/kt4/results/ad81843858993911562240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843858993861230592.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.103041\nCompute time: 0.308580\nWrite time: 0.076854\nTotal time: 0.488475\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843858993861230592.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843858993911562240.tif; 	\N	6	28a8c734-fde4-4cc1-b9df-01a16a89ffd3
971f9bef5bb04c75add71b3b0ee549a1		2024-10-09 10:43:30.220014	2024-10-09 10:43:17.706566	{"sd8":"/onesis/kt4/results/sd81843844655788195840.tif","fel":"/onesis/kt4/results/fel1843844655725281280.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843844655725281280.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054012\nData read time: 0.164125\nCompute Slope time: 0.365614\nWrite Slope time: 0.103598\nResolve Flat time: 2.561537\nWrite Flat time: 0.049544\nTotal time: 3.298428\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843844655725281280.tif; 坡度栅格: /onesis/kt4/results/sd81843844655788195840.tif; 	\N	6	8af8f882-6860-4437-99e4-b2f7d70a0011
b312414edc404a7b9073be5cd8dcec3d		2024-12-04 14:20:00.215351	2024-12-04 14:19:11.502734	{"t":"/onesis/kt4/test_data/regr/_whhp/res/r1864192708759912448.shp","d":"/onesis/kt4/test_data/regr/_whhp/whhp.shp","i":"OBJECTID","o":"/onesis/kt4/test_data/regr/_whhp/res/neardist_12041418.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.3, GDAL 3.5.3, PROJ 9.0.0; sf_use_s2() is TRUE\n	0295f9ea-4ca6-3301-ac31-bc768bf9254c	最近距离计算	目标矢量数据: /onesis/kt4/test_data/regr/_whhp/res/r1864192708759912448.shp; 输入矢量数据: /onesis/kt4/test_data/regr/_whhp/whhp.shp; 保留的id变量: OBJECTID; 结果数据: /onesis/kt4/test_data/regr/_whhp/res/neardist_12041418.csv; 	\N	6	22a9b451-24d7-4ad1-a12c-1554b1919876
f86561386a5b4cebbb73c40d1e5c4523		2024-10-09 11:45:57.865701	2024-10-09 11:45:46.271501	{"sd8":"/onesis/kt4/results/sd81843860378434535424.tif","fel":"/onesis/kt4/results/fel1843860378384203776.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843860378384203776.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.053033\nData read time: 0.155251\nCompute Slope time: 0.347647\nWrite Slope time: 0.103188\nResolve Flat time: 2.515622\nWrite Flat time: 0.049496\nTotal time: 3.224237\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843860378384203776.tif; 坡度栅格: /onesis/kt4/results/sd81843860378434535424.tif; 	\N	6	f8b692c1-dba9-4f1c-aabf-39bc79b717c2
f1d356cd582c40d68cf7f82039a397d2		2024-10-09 11:46:03.971725	2024-10-09 11:45:46.248714	{"p":"/onesis/kt4/results/p1843860378539393024.tif","ad8":"/onesis/kt4/results/ad81843860378589724672.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843860378539393024.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.103516\nCompute time: 0.305437\nWrite time: 0.071324\nTotal time: 0.480277\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843860378539393024.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843860378589724672.tif; 	\N	6	f8b692c1-dba9-4f1c-aabf-39bc79b717c2
6809e212dc4242a3905585faebe2153a		2024-10-09 10:43:30.218669	2024-10-09 10:43:17.739361	{"p":"/onesis/kt4/results/p1843844655888859136.tif","fel":"/onesis/kt4/results/fel1843844655725281280.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843844655725281280.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054958\nData read time: 0.153732\nCompute Slope time: 0.391972\nWrite Slope time: 0.094304\nResolve Flat time: 2.528980\nWrite Flat time: 0.047795\nTotal time: 3.271742\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843844655725281280.tif; D8单流向栅格: /onesis/kt4/results/p1843844655888859136.tif; 	\N	6	8af8f882-6860-4437-99e4-b2f7d70a0011
f1adddc1d69e472095b2d9bde1e75d78		2024-10-10 21:27:22.466235	2024-10-10 21:27:00.73066	{"p":"/onesis/kt4/dsm_case/result/p1844369038168424448.tif","ad8":"/onesis/kt4/dsm_case/result/ad81844369038222950400.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/p1844369038168424448.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.096526\nCompute time: 0.187090\nWrite time: 0.045719\nTotal time: 0.329335\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/dsm_case/result/p1844369038168424448.tif; d8汇流累积量栅格: /onesis/kt4/dsm_case/result/ad81844369038222950400.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
368e3e19854b48d39bd624dc5166cecc		2024-10-09 16:25:03.673653	2024-10-09 16:24:50.739964	{"sd8":"/onesis/kt4/results/sd81843930609790091264.tif","fel":"/onesis/kt4/results/fel1843930609739759616.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843930609739759616.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.053410\nData read time: 0.161257\nCompute Slope time: 0.369369\nWrite Slope time: 0.104165\nResolve Flat time: 2.521350\nWrite Flat time: 0.049542\nTotal time: 3.259093\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843930609739759616.tif; 坡度栅格: /onesis/kt4/results/sd81843930609790091264.tif; 	\N	6	f0b83f2a-e66d-4eb0-9956-d6dca2bea33c
a390a23a7fd244d593fa9cd3c5d08d84		2024-10-09 10:48:18.692506	2024-10-09 10:48:05.859023	{"sd8":"/onesis/kt4/results/sd81843845864272035840.tif","fel":"/onesis/kt4/results/fel1843845864217509888.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843845864217509888.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.053917\nData read time: 0.169105\nCompute Slope time: 0.350227\nWrite Slope time: 0.108309\nResolve Flat time: 2.578085\nWrite Flat time: 0.048976\nTotal time: 3.308619\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843845864217509888.tif; 坡度栅格: /onesis/kt4/results/sd81843845864272035840.tif; 	\N	6	7fe3b2af-0a2e-4980-adc1-4ab06fb38d40
1637c15d394b41ac929ce70a5d7aa1d1		2024-10-09 10:48:28.86494	2024-10-09 10:48:05.780665	{"sca":"/onesis/kt4/results/ad81843845864439808000.tif","slp":"/onesis/kt4/results/sd81843845864272035840.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843845864272035840.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843845864439808000.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.048422\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843845864272035840.tif; 汇流累积量: /onesis/kt4/results/ad81843845864439808000.tif; 	\N	6	7fe3b2af-0a2e-4980-adc1-4ab06fb38d40
4c35cfa8391949a1bf6c1c29cf1f37eb		2024-10-09 11:45:58.869569	2024-10-09 11:45:46.300096	{"p":"/onesis/kt4/results/p1843860378539393024.tif","fel":"/onesis/kt4/results/fel1843860378384203776.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843860378384203776.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.061863\nData read time: 0.162221\nCompute Slope time: 0.393702\nWrite Slope time: 0.094531\nResolve Flat time: 2.472502\nWrite Flat time: 0.044619\nTotal time: 3.229438\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843860378384203776.tif; D8单流向栅格: /onesis/kt4/results/p1843860378539393024.tif; 	\N	6	f8b692c1-dba9-4f1c-aabf-39bc79b717c2
e7604bebf90546d9bd983df74023a5c0		2024-10-09 10:48:18.696973	2024-10-09 10:48:05.88892	{"p":"/onesis/kt4/results/p1843845864385282048.tif","fel":"/onesis/kt4/results/fel1843845864217509888.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843845864217509888.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054898\nData read time: 0.224418\nCompute Slope time: 0.389466\nWrite Slope time: 0.093591\nResolve Flat time: 2.507112\nWrite Flat time: 0.044993\nTotal time: 3.314478\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843845864217509888.tif; D8单流向栅格: /onesis/kt4/results/p1843845864385282048.tif; 	\N	6	7fe3b2af-0a2e-4980-adc1-4ab06fb38d40
558e1d4c22814205bd69b7fb649f7125		2024-10-10 21:29:16.381238	2024-10-10 21:29:05.266607	{"zfactor":"1","i":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif","o":"/onesis/kt4/dsm_case/result/o1844369561617563648.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.23s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	z因子: 1; 输入数据: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 输出数据: /onesis/kt4/dsm_case/result/o1844369561617563648.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
096fb22dd3194854901dec4d5ae43d50		2024-10-09 14:44:33.724765	2024-10-09 14:44:21.888376	{"p":"/onesis/kt4/results/p1843905322998169600.tif","fel":"/onesis/kt4/results/fel1843905322855563264.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843905322855563264.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.075422\nData read time: 0.150754\nCompute Slope time: 0.393512\nWrite Slope time: 0.093786\nResolve Flat time: 2.476176\nWrite Flat time: 0.044791\nTotal time: 3.234439\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843905322855563264.tif; D8单流向栅格: /onesis/kt4/results/p1843905322998169600.tif; 	\N	6	b025bd7c-d147-4972-a023-ef6039bc3586
fe3ff78065814954b698828eaee040e0		2024-10-09 14:45:34.599646	2024-10-09 14:45:16.406763	{"p":"/onesis/kt4/results/p1843905551868755968.tif","ad8":"/onesis/kt4/results/ad81843905551923281920.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843905551868755968.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.100167\nCompute time: 0.303187\nWrite time: 0.076773\nTotal time: 0.480127\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843905551868755968.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843905551923281920.tif; 	\N	6	043c0e98-ceeb-41c2-8fb9-135f42b9b760
af7832deb85540b2a69d1dd23a7f7311		2024-10-09 11:46:09.045602	2024-10-09 11:45:46.221802	{"sca":"/onesis/kt4/results/ad81843860378589724672.tif","slp":"/onesis/kt4/results/sd81843860378434535424.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843860378434535424.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843860378589724672.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.047546\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843860378434535424.tif; 汇流累积量: /onesis/kt4/results/ad81843860378589724672.tif; 	\N	6	f8b692c1-dba9-4f1c-aabf-39bc79b717c2
95be11fd26a249caa24a2ca87a6dd1dc		2024-12-26 10:44:19.874695	2024-12-26 10:43:23.863896	{"c":"/onesis/kt4/test_data/basic/zw_kt5/grade.csv","f":"land_dem","i":"/onesis/kt4/test_data/basic/data/input_small.shp","l":"middle","o":"/onesis/kt4/test_data/basic/data/o1872110924425461760.shp"}	f	\N	70050be4-e818-32e1-a631-c99d0d94d5de	添加物候信息	输入矢量文件: /onesis/kt4/test_data/basic/data/input_small.shp; 物候配置文件: /onesis/kt4/test_data/basic/zw_kt5/grade.csv; 高程字段名: land_dem; 区域信息: middle; 输出矢量文件: /onesis/kt4/test_data/basic/data/o1872110924425461760.shp; 	\N	7	8f63b228-d90c-44e1-9f88-78693e51bc00
de12e6b9f14d47dfb907f052046e419b		2024-10-09 11:19:21.054163	2024-10-09 11:19:08.519585	{"p":"/onesis/kt4/results/p1843853676893044736.tif","fel":"/onesis/kt4/results/fel1843853676704301056.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843853676704301056.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056935\nData read time: 0.160939\nCompute Slope time: 0.391912\nWrite Slope time: 0.094467\nResolve Flat time: 2.554388\nWrite Flat time: 0.050679\nTotal time: 3.309320\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843853676704301056.tif; D8单流向栅格: /onesis/kt4/results/p1843853676893044736.tif; 	\N	6	e1630d27-8ad9-4fab-a24c-51f151e103cb
32349a761781443bb949baee9a78eb08		2024-10-09 11:52:39.943573	2024-10-09 11:52:27.37875	{"p":"/onesis/kt4/results/p1843862060677595136.tif","fel":"/onesis/kt4/results/fel1843862060446908416.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843862060446908416.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.059341\nData read time: 0.185192\nCompute Slope time: 0.344608\nWrite Slope time: 0.110515\nResolve Flat time: 2.532771\nWrite Flat time: 0.056557\nTotal time: 3.288983\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843862060446908416.tif; D8单流向栅格: /onesis/kt4/results/p1843862060677595136.tif; 	\N	6	0d62149e-63e6-463b-a060-3bef4d786bf7
f9407c0cacf6426fbe47a9c4c09dade9		2024-10-09 14:44:25.848417	2024-10-09 14:44:21.917488	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843905322855563264.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.054556\nData read time: 0.086660\nCompute time: 0.323632\nWrite time: 0.087267\nTotal time: 0.552115\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843905322855563264.tif; 	\N	6	b025bd7c-d147-4972-a023-ef6039bc3586
e8c8d638a84b44c4b0c64b4cf7930409		2024-10-09 14:57:14.810341	2024-10-09 14:56:57.216505	{"p":"/onesis/kt4/results/p1843908491295719424.tif","ad8":"/onesis/kt4/results/ad81843908491346051072.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843908491295719424.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.103715\nCompute time: 0.301576\nWrite time: 0.073833\nTotal time: 0.479124\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843908491295719424.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843908491346051072.tif; 	\N	6	009b3712-75ca-4204-a2ad-786d5a7a4fd4
922686128aaa4b78b394fd710a6c5d21		2024-10-09 11:19:21.056361	2024-10-09 11:19:08.489907	{"sd8":"/onesis/kt4/results/sd81843853676771409920.tif","fel":"/onesis/kt4/results/fel1843853676704301056.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843853676704301056.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054433\nData read time: 0.163124\nCompute Slope time: 0.371579\nWrite Slope time: 0.107405\nResolve Flat time: 2.565257\nWrite Flat time: 0.052363\nTotal time: 3.314161\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843853676704301056.tif; 坡度栅格: /onesis/kt4/results/sd81843853676771409920.tif; 	\N	6	e1630d27-8ad9-4fab-a24c-51f151e103cb
cc322dbd0c634773843e30d79a1e897d		2024-10-09 16:25:08.751223	2024-10-09 16:24:50.713477	{"p":"/onesis/kt4/results/p1843930609882365952.tif","ad8":"/onesis/kt4/results/ad81843930609945280512.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843930609882365952.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.104247\nCompute time: 0.335405\nWrite time: 0.074523\nTotal time: 0.514175\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843930609882365952.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843930609945280512.tif; 	\N	6	f0b83f2a-e66d-4eb0-9956-d6dca2bea33c
c0a3c8ac0f7d496bae95e03ca5bb1af6		2024-10-09 11:19:30.242113	2024-10-09 11:19:08.432808	{"sca":"/onesis/kt4/results/ad81843853676951764992.tif","slp":"/onesis/kt4/results/sd81843853676771409920.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843853676771409920.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843853676951764992.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037859\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843853676771409920.tif; 汇流累积量: /onesis/kt4/results/ad81843853676951764992.tif; 	\N	6	e1630d27-8ad9-4fab-a24c-51f151e103cb
ad921ec250aa489ba74a71746ad15ea9		2024-10-10 09:06:57.804654	2024-10-10 09:06:53.514289	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844182782721523712.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.053956\nData read time: 0.068802\nCompute time: 0.306011\nWrite time: 0.089520\nTotal time: 0.518289\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844182782721523712.tif; 	\N	6	565354d1-f3c5-4c49-9d46-24769beb8f26
3323a3a5af804646b19acc3c3c1f6102		2024-10-10 21:27:18.358238	2024-10-10 21:27:00.850022	{"p":"/onesis/kt4/dsm_case/result/p1844369038168424448.tif","fel":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 113218 flats to resolve.\nDraining flats towards lower adjacent terrain\n.................................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 2188\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.139658\nData read time: 0.163356\nCompute Slope time: 0.235314\nWrite Slope time: 0.052540\nResolve Flat time: 3.453815\nWrite Flat time: 0.029954\nTotal time: 4.074637\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; D8单流向栅格: /onesis/kt4/dsm_case/result/p1844369038168424448.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
da4327d6d92b4fc0b52dbe9b03730c9e		2024-12-09 17:31:52.070674	2024-12-09 17:30:58.394651	{"b":"20","r":"/onesis/kt4/job_results/gwcorr12091730.shp","t":"true","f":"/onesis/kt4/test_data/regr/_whhp/res_eg/joined.shp","i":"Avg_Pop,Avg_AQI,Avg_Gr_,Av_GDP_,Avg_Ln_,Avg_HP_,nrst_ds","k":"gaussian"}	t	\N	04b3ed6d-9a2d-3142-9a70-88bc14549199	地理加权相关性分析-173051	核函数: gaussian; 带宽类型: true; 带宽大小: 20; 矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res_eg/joined.shp; 自变量: Avg_Pop,Avg_AQI,Avg_Gr_,Av_GDP_,Avg_Ln_,Avg_HP_,nrst_ds; 结果空间数据: /onesis/kt4/job_results/gwcorr12091730.shp; 	\N	7	\N
ec9a7ca1465a41efacef8b49977e207a		2024-10-09 11:24:24.909711	2024-10-09 11:24:13.380652	{"sd8":"/onesis/kt4/results/sd81843854955618893824.tif","fel":"/onesis/kt4/results/fel1843854955564367872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843854955564367872.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052791\nData read time: 0.165732\nCompute Slope time: 0.256021\nWrite Slope time: 0.105297\nResolve Flat time: 2.534949\nWrite Flat time: 0.049382\nTotal time: 3.164172\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843854955564367872.tif; 坡度栅格: /onesis/kt4/results/sd81843854955618893824.tif; 	\N	6	86fa3386-30e8-410d-9400-1c63c0482861
ec498a68a06e473f85e4dbc820f6d093		2024-10-09 11:27:12.117037	2024-10-09 11:26:49.426064	{"sca":"/onesis/kt4/results/ad81843855610538491904.tif","slp":"/onesis/kt4/results/sd81843855610387496960.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843855610387496960.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843855610538491904.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038585\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843855610387496960.tif; 汇流累积量: /onesis/kt4/results/ad81843855610538491904.tif; 	\N	6	bbcbd99b-8500-4090-b0ff-988ea9a97b51
863552eb083748d2a6afa58fb128ca95		2024-10-09 11:24:25.843245	2024-10-09 11:24:13.41133	{"p":"/onesis/kt4/results/p1843854955732140032.tif","fel":"/onesis/kt4/results/fel1843854955564367872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843854955564367872.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.057619\nData read time: 0.158833\nCompute Slope time: 0.384361\nWrite Slope time: 0.096002\nResolve Flat time: 2.399953\nWrite Flat time: 0.044326\nTotal time: 3.141093\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843854955564367872.tif; D8单流向栅格: /onesis/kt4/results/p1843854955732140032.tif; 	\N	6	86fa3386-30e8-410d-9400-1c63c0482861
233093a7026a45f690d06b89247c7aa0		2024-10-09 11:24:35.057804	2024-10-09 11:24:13.325997	{"sca":"/onesis/kt4/results/ad81843854955790860288.tif","slp":"/onesis/kt4/results/sd81843854955618893824.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843854955618893824.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843854955790860288.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.039223\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843854955618893824.tif; 汇流累积量: /onesis/kt4/results/ad81843854955790860288.tif; 	\N	6	86fa3386-30e8-410d-9400-1c63c0482861
144183c9d9f1445794c79b38ee962f7a		2024-10-09 11:24:29.987297	2024-10-09 11:24:13.355043	{"p":"/onesis/kt4/results/p1843854955732140032.tif","ad8":"/onesis/kt4/results/ad81843854955790860288.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843854955732140032.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.099652\nCompute time: 0.294996\nWrite time: 0.072662\nTotal time: 0.467310\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843854955732140032.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843854955790860288.tif; 	\N	6	86fa3386-30e8-410d-9400-1c63c0482861
ba14b82b26bd48ddba27e4b825822053		\N	2025-01-05 22:04:16.13699	{"p":"/onesis/kt4/xuancheng/p1875906158993211392.tif","ad8":"/onesis/kt4/xuancheng/ad81875906159047737344.tif"}	f	\N	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/xuancheng/p1875906158993211392.tif; d8汇流累积量栅格: /onesis/kt4/xuancheng/ad81875906159047737344.tif; 	\N	0	2f2eafa3-cefd-4a0c-a429-6d20e166c686
87794def2a8c46e7b313b67be3ffac20		2024-10-09 11:27:00.947693	2024-10-09 11:26:49.476564	{"sd8":"/onesis/kt4/results/sd81843855610387496960.tif","fel":"/onesis/kt4/results/fel1843855610337165312.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843855610337165312.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052590\nData read time: 0.153690\nCompute Slope time: 0.345264\nWrite Slope time: 0.102256\nResolve Flat time: 2.554245\nWrite Flat time: 0.048494\nTotal time: 3.256538\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843855610337165312.tif; 坡度栅格: /onesis/kt4/results/sd81843855610387496960.tif; 	\N	6	bbcbd99b-8500-4090-b0ff-988ea9a97b51
ef25e1dce6ed4c4ab0bb3187b5234157		2024-10-09 11:27:07.034969	2024-10-09 11:26:49.452739	{"p":"/onesis/kt4/results/p1843855610488160256.tif","ad8":"/onesis/kt4/results/ad81843855610538491904.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843855610488160256.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.103915\nCompute time: 0.318242\nWrite time: 0.075617\nTotal time: 0.497774\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843855610488160256.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843855610538491904.tif; 	\N	6	bbcbd99b-8500-4090-b0ff-988ea9a97b51
fce323c8dafb4f5daf99df97fd418918		2024-12-04 14:05:59.042887	2024-12-04 14:05:05.603957	{"epsg":"0","file":"/onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.shp"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/ogr.py:601: FutureWarning: Neither ogr.UseExceptions() nor ogr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\n/data/onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.shp is in WGS84 or based on WGS84.\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:ff8cbb9251db43eb8fa9724baf4abae8	数据路径: /onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.shp; EPSG号: 0; 	\N	6	\N
7da1938a55fc4b14b937d5961d516348		2024-10-09 11:47:43.383777	2024-10-09 11:47:30.840023	{"sd8":"/onesis/kt4/results/sd81843860817041293312.tif","fel":"/onesis/kt4/results/fel1843860816990961664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843860816990961664.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054750\nData read time: 0.168707\nCompute Slope time: 0.370895\nWrite Slope time: 0.104111\nResolve Flat time: 2.573959\nWrite Flat time: 0.049277\nTotal time: 3.321700\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843860816990961664.tif; 坡度栅格: /onesis/kt4/results/sd81843860817041293312.tif; 	\N	6	6e59c58f-56a0-40f6-a42e-1ad71a0b0ea4
dc4e0d60188d4c14b03f36e614b8bd95		2024-10-09 11:27:01.946418	2024-10-09 11:26:49.506309	{"p":"/onesis/kt4/results/p1843855610488160256.tif","fel":"/onesis/kt4/results/fel1843855610337165312.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843855610337165312.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056373\nData read time: 0.174316\nCompute Slope time: 0.387101\nWrite Slope time: 0.093745\nResolve Flat time: 2.477866\nWrite Flat time: 0.042776\nTotal time: 3.232178\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843855610337165312.tif; D8单流向栅格: /onesis/kt4/results/p1843855610488160256.tif; 	\N	6	bbcbd99b-8500-4090-b0ff-988ea9a97b51
