text
stringlengths 4
126k
| id
stringlengths 40
40
| added
stringdate 2023-03-17 09:56:40
2023-03-17 17:15:57
| source
stringclasses 1
value | metadata
stringlengths 1.06k
328k
| timestamp
timestamp[s]date 2022-12-01 00:00:00
2022-12-01 00:00:00
| lang
stringclasses 1
value | __index_level_0__
int64 0
8.2k
|
|---|---|---|---|---|---|---|---|
-5.0000 -0.1457 0.0117 0.0047 -0.0805 0.9163 0.0300
-4.7500 -0.1165 0.0115 0.0045 -0.0805 0.9095 0.0329
-4.5000 -0.0906 0.0113 0.0043 -0.0799 0.8992 0.0356
-4.2500 -0.0620 0.0110 0.0040 -0.0798 0.8912 0.0394
-4.0000 -0.0357 0.0108 0.0038 -0.0793 0.8802 0.0443
-3.7500 -0.0076 0.0106 0.0036 -0.0791 0.8711 0.0498
-3.5000 0.0190 0.0104 0.0034 -0.0786 0.8590 0.0572
-3.2500 0.0460 0.0102 0.0033 -0.0783 0.8477 0.0734
-3.0000 0.0734 0.0101 0.0031 -0.0780 0.8360 0.0831
-2.7500 0.1005 0.0099 0.0030 -0.0777 0.8231 0.0941
-2.5000 0.1276 0.0098 0.0029 -0.0774 0.8095 0.1065
-2.2500 0.1545 0.0097 0.0028 -0.0770 0.7945 0.1215
-2.0000 0.1814 0.0096 0.0027 -0.0766 0.7789 0.1408
-1.7500 0.2081 0.0095 0.0026 -0.0763 0.7627 0.1647
-1.5000 0.2348 0.0094 0.0025 -0.0759 0.7469 0.1922
-1.2500 0.2608 0.0092 0.0025 -0.0756 0.7303 0.2488
-1.0000 0.2812 0.0081 0.0024 -0.0746 0.7138 0.5382
-0.7500 0.3034 0.0077 0.0025 -0.0733 0.6968 0.6799
-0.5000 0.3253 0.0075 0.0025 -0.0716 0.6792 0.7856
-0.2500 0.3471 0.0074 0.0026 -0.0695 0.6605 0.8779
0.0000 0.3776 0.0075 0.0027 -0.0695 0.6389 0.9385
0.2500 0.4160 0.0076 0.0027 -0.0714 0.6167 0.9667
0.5000 0.4587 0.0078 0.0027 -0.0745 0.5929 0.9851
0.7500 0.5062 0.0080 0.0027 -0.0787 0.5700 0.9969
1.0000 0.5371 0.0082 0.0028 -0.0794 0.5498 1.0000
1.2500 0.5600 0.0083 0.0028 -0.0785 0.5310 1.0000
1.5000 0.5830 0.0085 0.0028 -0.0775 0.5135 1.0000
1.7500 0.6063 0.0087 0.0029 -0.0766 0.4986 1.0000
2.0000 0.6296 0.0089 0.0030 -0.0757 0.4858 1.0000
2.2500 0.6536 0.0090 0.0031 -0.0749 0.4736 1.0000
2.5000 0.6777 0.0092 0.0032 -0.0742 0.4633 1.0000
2.7500 0.7019 0.0094 0.0033 -0.0734 0.4535 1.0000
3.0000 0.7265 0.0096 0.0034 -0.0728 0.4450 1.0000
3.2500 0.7515 0.0097 0.0035 -0.0722 0.4368 1.0000
3.5000 0.7761 0.0100 0.0037 -0.0716 0.4297 1.0000
3.7500 0.8020 0.0101 0.0038 -0.0712 0.4234 1.0000
4.0000 0.8274 0.0103 0.0040 -0.0707 0.4167 1.0000
4.2500 0.8526 0.0105 0.0042 -0.0703 0.4104 1.0000
4.5000 0.8786 0.0107 0.0043 -0.0699 0.4043 1.0000
4.7500 0.9040 0.0109 0.0045 -0.0695 0.3981 1.0000
5.0000 0.9295 0.0111 0.0047 -0.0691 0.3917 1.0000
|
d4d2568e87657eee999b73bfcc4277d60bf8c4c5
|
2023-03-17T10:46:59.985013
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6912331407, "avg_line_length": 49.4285714286, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "8b05b39ffce9dc9cdfdae5b21129857bad6e4d99", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "JARC99/DISECON_PIA", "max_forks_repo_path": "2 - Conceptual Design/4 - Wing Design/airfoil_data/400000/3.50/3.00/12.50.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "8b05b39ffce9dc9cdfdae5b21129857bad6e4d99", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "JARC99/DISECON_PIA", "max_issues_repo_path": "2 - Conceptual Design/4 - Wing Design/airfoil_data/400000/3.50/3.00/12.50.txt", "max_line_length": 51, "max_stars_count": null, "max_stars_repo_head_hexsha": "8b05b39ffce9dc9cdfdae5b21129857bad6e4d99", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "JARC99/DISECON_PIA", "max_stars_repo_path": "2 - Conceptual Design/4 - Wing Design/airfoil_data/400000/3.50/3.00/12.50.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 2076}
| 2022-12-01T00:00:00 |
text
| 0 |
sheep 117 0 72.00 36.00 500.00 375.00
sheep 117 1 1.00 36.00 429.00 375.00
|
b5184e41b0e2d11144a7b9fd9ee6530c4b83f00e
|
2023-03-17T10:08:43.777883
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7066666667, "avg_line_length": 25, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "29b1c441e71867caf18e1c075c488bbb86d66e2f", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "litingfeng/FasterSubCNN", "max_forks_repo_path": "fast-rcnn/data/PASCAL/subcategory_exemplars/002963.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "29b1c441e71867caf18e1c075c488bbb86d66e2f", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "litingfeng/FasterSubCNN", "max_issues_repo_path": "fast-rcnn/data/PASCAL/subcategory_exemplars/002963.txt", "max_line_length": 37, "max_stars_count": null, "max_stars_repo_head_hexsha": "29b1c441e71867caf18e1c075c488bbb86d66e2f", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "litingfeng/FasterSubCNN", "max_stars_repo_path": "fast-rcnn/data/PASCAL/subcategory_exemplars/002963.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 75}
| 2022-12-01T00:00:00 |
text
| 1 |
用户昵称：元气少女萱萱
用户id：270482544
签名：宝藏女孩上线！
官方认证：
动态内容：
--------------------
也不是每个人都能一直喜欢我[哭哭]
发布时间：2020-03-16 02:05:41
征服少女的心和星辰大海吧.
发布时间：2020-03-12 11:10:21
#猫里奥##沙雕实况##新人#
发布时间：2020-03-11 19:49:55
投稿了视频
aid:95253079
cid:162614568
标题：挑战猫里奥第一期
描述：
#直播录像##萌妹子##自制#
发布时间：2020-03-10 18:34:15
投稿了视频
aid:94952193
cid:162088746
标题：独 角 兽 女 孩
描述：
#萌妹子##直播录像#
发布时间：2020-03-08 18:09:29
投稿了视频
aid:94442457
cid:161229523
标题：特别乖巧的录播.
描述：
好想吃关东煮🍢
发布时间：2020-02-22 22:14:13
#生活##自制##假期#
发布时间：2020-03-27 17:05:21
投稿了视频
aid:497589463
cid:170112083
标题：假 期 现 状
描述：-
今天因为身体原因停播一天[大哭]
发布时间：2020-03-25 11:51:01
五个舰长啦 感谢一个多月以来的陪伴o@顧及鉨 @这货不是无道 @我是凯爹 @唤起星之吐息 @野马君の猫
发布时间：2020-03-27 18:53:46
|
cf3749d697cc7a3e7c84f1dbb9b3a85bb0592ea1
|
2023-03-17T10:02:45.283676
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7049180328, "avg_line_length": 12.4259259259, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "a03009ebd8c8080abdab5d639dede4c638e32f62", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "Ltre/SomeUseful", "max_forks_repo_path": "bilidt/\u5143\u6c14\u5c11\u5973\u8431\u8431.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "a03009ebd8c8080abdab5d639dede4c638e32f62", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "Ltre/SomeUseful", "max_issues_repo_path": "bilidt/\u5143\u6c14\u5c11\u5973\u8431\u8431.txt", "max_line_length": 53, "max_stars_count": 1, "max_stars_repo_head_hexsha": "a03009ebd8c8080abdab5d639dede4c638e32f62", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "Ltre/SomeUseful", "max_stars_repo_path": "bilidt/\u5143\u6c14\u5c11\u5973\u8431\u8431.txt", "max_stars_repo_stars_event_max_datetime": "2021-01-03T07:45:25.000Z", "max_stars_repo_stars_event_min_datetime": "2021-01-03T07:45:25.000Z", "size": 671}
| 2022-12-01T00:00:00 |
text
| 2 |
EXTRATO DO CONTRATO DE FORNECIMENTO N° 134/2020
CONTRATANTE: MUNICÍPIO DE GURARAPARI/ES E SECRETARIA MUNICIPAL DE EDUCAÇÃO - SEMED
CONTRATADA: CONCEITO COMERCIAL LTDA
OBJETO: O OBJETO DO PRESENTE CONTRATO VISA O FORNECIMENTO DE 250 (DUZENTOS E CINQUENTA) KIT´S PEDAGÓGICOS DE ROBÓTICA PARA ATIVIDADES COM OS ALUNOS DA REDE MUNICIPAL, EM ATENDIMENTO A SECRETARIA MUNICIPAL DE EDUCAÇÃO.
VALOR GLOBAL: R$ 250.000,00
PRAZO: 31/12/2020
PROCESSO ADMINISTRATIVO: 21913/2020
|
9fcfda2bb75a3fe5b1a05e298b4e9636c9fc52ee
|
2023-03-17T10:02:48.210959
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8162393162, "avg_line_length": 52, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2021-11-12T12:28:48.000Z", "max_forks_repo_forks_event_min_datetime": "2021-11-12T12:28:48.000Z", "max_forks_repo_head_hexsha": "76c9cb73b9d38a4985df8a9ecfc5e47093aac405", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "giuliocc/querido-diario-toolbox-pybr2021", "max_forks_repo_path": "data-processed/3202405/2020-12-15/1b700f9c9d1cd787c372670971aa7bc83a9ae1a4/content.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "76c9cb73b9d38a4985df8a9ecfc5e47093aac405", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "giuliocc/querido-diario-toolbox-pybr2021", "max_issues_repo_path": "data-processed/3202405/2020-12-15/1b700f9c9d1cd787c372670971aa7bc83a9ae1a4/content.txt", "max_line_length": 217, "max_stars_count": 4, "max_stars_repo_head_hexsha": "6bd743fbf6ca98d167743f0b8b8d668c2a947d64", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "giuliocc/querido-diario-toolbox-codabr21", "max_stars_repo_path": "data-processed/3202405/2020-12-15/1b700f9c9d1cd787c372670971aa7bc83a9ae1a4/content.txt", "max_stars_repo_stars_event_max_datetime": "2022-01-28T14:23:11.000Z", "max_stars_repo_stars_event_min_datetime": "2021-11-12T22:24:49.000Z", "size": 468}
| 2022-12-01T00:00:00 |
text
| 3 |
0 0.9086538461538461 0.8918269230769231 0.1346153846153846 0.1346153846153846
0 0.3641826923076923 0.7403846153846154 0.06490384615384616 0.0625
0 0.5444711538461539 0.8930288461538461 0.055288461538461536 0.055288461538461536
|
d3c27f8697ecea99d2fd173b677260c3c9b77e2d
|
2023-03-17T10:08:43.777883
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8810572687, "avg_line_length": 56.75, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "a35002f3358147fac9bad65aada827dcc70b6102", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "acse-gcm20/crater-detection-algorithm", "max_forks_repo_path": "THEMIS/data_labels/coprates_31_9vh.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "a35002f3358147fac9bad65aada827dcc70b6102", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "acse-gcm20/crater-detection-algorithm", "max_issues_repo_path": "THEMIS/data_labels/coprates_31_9vh.txt", "max_line_length": 81, "max_stars_count": null, "max_stars_repo_head_hexsha": "a35002f3358147fac9bad65aada827dcc70b6102", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "acse-gcm20/crater-detection-algorithm", "max_stars_repo_path": "THEMIS/data_labels/coprates_31_9vh.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 227}
| 2022-12-01T00:00:00 |
text
| 4 |
450.0000 906.0000
454.9077 904.8399
459.7786 903.7109
464.5756 902.6439
469.2619 901.6700
473.8006 900.8202
478.1548 900.1255
482.2874 899.6170
486.1618 899.3256
489.7505 899.2679
493.0601 899.4087
496.1046 899.7018
498.8979 900.1008
501.4542 900.5596
503.7954 901.0400
506.0100 901.5706
508.2180 902.2118
510.5398 903.0244
513.0845 904.0616
515.8364 905.2916
518.7015 906.6296
521.5847 907.9899
524.3907 909.2869
527.0263 910.4364
529.4752 911.4169
531.8214 912.2884
534.1558 913.1160
536.5690 913.9653
539.1052 914.8994
541.5980 915.9723
543.8221 917.2351
545.5521 918.7393
546.5798 920.5300
546.9083 922.5814
546.6838 924.8188
546.0553 927.1667
545.1696 929.5580
544.1639 931.9669
543.1722 934.3802
542.3289 936.7849
541.7689 939.1643
541.6486 941.4133
542.1464 943.3367
543.4417 944.7354
545.6262 945.4826
548.5021 945.6927
551.8109 945.5296
555.2947 945.1574
558.6952 944.7401
561.7798 944.4199
564.5035 944.1788
566.9042 943.9280
569.0206 943.5780
570.8928 943.0471
572.6064 942.4349
574.2933 942.0264
576.0801 942.1102
577.8292 942.7975
579.0673 943.9739
579.3296 945.5093
578.7697 947.2550
578.1208 949.0443
578.1223 950.7079
579.0196 952.0125
580.4835 952.6504
582.1920 952.3992
584.0456 951.5379
586.0227 950.5204
588.1013 949.7957
590.2503 949.5625
592.4255 949.6628
594.5814 949.9112
596.6678 950.1408
598.5704 950.4152
600.1312 950.9554
601.2003 951.9800
601.7806 953.6022
602.0053 955.8463
602.0117 958.7336
601.9249 962.2586
601.7861 966.2252
601.6003 970.3563
601.3723 974.3745
601.1071 978.0021
600.8095 980.9620
600.4971 982.9954
600.4179 984.1912
601.0140 984.9377
602.4338 985.4753
604.4384 985.8398
606.7654 986.0535
609.2545 986.1439
611.9094 986.1459
614.7488 986.0953
617.7913 986.0279
621.0527 985.9774
624.4941 985.9362
628.0239 985.8568
631.5486 985.6906
634.9747 985.3887
638.2085 984.9022
641.1640 984.1893
643.8562 983.2986
646.3713 982.3430
648.7972 981.4370
651.2217 980.6946
653.7235 980.2008
656.3392 979.9039
659.0936 979.7136
662.0112 979.5392
665.1165 979.2905
668.3704 978.9415
671.5651 978.6360
674.4658 978.5456
676.8375 978.8419
678.4482 979.6943
679.2432 981.1467
679.4374 983.0522
679.2688 985.2472
678.9794 987.5640
678.8181 989.8258
679.0350 991.8549
679.8685 993.4778
681.3322 994.6037
683.2351 995.2165
685.3801 995.3038
687.6270 994.9174
689.9263 994.2098
692.2367 993.3427
694.5166 992.4771
696.7524 991.7184
698.9874 991.0571
701.2714 990.4692
703.6546 989.9311
706.1528 989.4131
708.6882 988.8707
711.1676 988.2563
713.4979 987.5227
715.5914 986.6595
717.4066 985.9556
718.9240 985.8447
720.1339 986.7188
721.1259 988.5052
722.0499 990.8486
723.0571 993.3894
724.2759 995.7994
725.6410 998.0176
726.9891 1000.1187
728.1564 1002.1782
728.9832 1004.2712
729.4490 1006.4492
729.6945 1008.7369
729.8689 1011.1573
730.1201 1013.7316
730.5312 1016.4031
731.1030 1019.0157
731.8309 1021.4072
732.7103 1023.4149
733.7689 1024.8956
735.1470 1025.7734
737.0094 1025.9871
739.4344 1025.5309
742.2870 1024.5365
745.3994 1023.1570
748.6038 1021.5450
751.7324 1019.8534
754.6332 1018.2247
757.3215 1016.6927
759.9149 1015.2245
762.5322 1013.7861
765.2927 1012.3438
768.3140 1010.8640
771.6335 1009.3286
775.1573 1007.7449
778.7792 1006.1224
782.3928 1004.4708
785.8921 1002.7996
789.1708 1001.1185
792.1301 999.4367
794.7408 997.7593
797.0112 996.0891
798.9497 994.4289
800.5652 992.7817
801.8788 991.1375
802.9747 989.4226
803.9562 987.5437
804.9263 985.4107
805.9194 983.2650
806.8428 981.9688
807.5916 982.4352
808.1509 984.8009
808.6292 988.1401
809.1437 991.4498
809.8118 993.7272
810.7379 994.0930
811.9202 992.6754
813.3052 990.0945
814.8392 986.9735
816.4720 983.8984
818.1927 981.0607
820.0138 978.4135
821.9482 975.9069
824.0089 973.4907
826.2086 971.1151
828.5500 968.7303
831.0043 966.2882
833.5368 963.7406
836.1127 961.0394
838.6974 958.1365
841.2560 954.9838
843.7573 951.5487
846.2050 947.9558
848.6227 944.4210
851.0345 941.1613
853.4647 938.3939
855.9371 936.3356
858.4758 935.2029
861.0553 935.0432
863.5349 935.5101
865.7581 936.2016
867.5682 936.7160
868.9115 936.8125
870.0000 936.6667
|
7f88dd2fbbb4e4a5e3891d67ea918d456223dc14
|
2023-03-17T10:08:52.079426
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7794808405, "avg_line_length": 18.0580357143, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "6c791cbc0fd1e108ec38e8c4864f7cec6827a132", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "DanChitwood/grapevine_ampelometry", "max_forks_repo_path": "0_visual_check/ampelometry_data/K0130B3_ds.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "6c791cbc0fd1e108ec38e8c4864f7cec6827a132", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "DanChitwood/grapevine_ampelometry", "max_issues_repo_path": "0_visual_check/ampelometry_data/K0130B3_ds.txt", "max_line_length": 18, "max_stars_count": 1, "max_stars_repo_head_hexsha": "6c791cbc0fd1e108ec38e8c4864f7cec6827a132", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "DanChitwood/grapevine_ampelometry", "max_stars_repo_path": "0_visual_check/ampelometry_data/K0130B3_ds.txt", "max_stars_repo_stars_event_max_datetime": "2022-02-17T15:03:10.000Z", "max_stars_repo_stars_event_min_datetime": "2022-02-17T15:03:10.000Z", "size": 4045}
| 2022-12-01T00:00:00 |
text
| 5 |
division of labor
劳动力的分工
|
4ce445d8dadccdc40e7112ce4029a3c03e8dae4e
|
2023-03-17T09:56:50.161175
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.84, "avg_line_length": 8.3333333333, "ext": "txt", "max_forks_count": 3, "max_forks_repo_forks_event_max_datetime": "2020-04-05T02:00:53.000Z", "max_forks_repo_forks_event_min_datetime": "2017-03-15T11:17:32.000Z", "max_forks_repo_head_hexsha": "9735b64c3f102a8358e5e506777554ed109ba6ed", "max_forks_repo_licenses": ["BSD-2-Clause"], "max_forks_repo_name": "gbn48/wordlists", "max_forks_repo_path": "toefl/meaning/division of labor.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "9735b64c3f102a8358e5e506777554ed109ba6ed", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-2-Clause"], "max_issues_repo_name": "gbn48/wordlists", "max_issues_repo_path": "toefl/meaning/division of labor.txt", "max_line_length": 17, "max_stars_count": 5, "max_stars_repo_head_hexsha": "9735b64c3f102a8358e5e506777554ed109ba6ed", "max_stars_repo_licenses": ["BSD-2-Clause"], "max_stars_repo_name": "gbn48/wordlists", "max_stars_repo_path": "toefl/meaning/division of labor.txt", "max_stars_repo_stars_event_max_datetime": "2021-09-14T05:18:51.000Z", "max_stars_repo_stars_event_min_datetime": "2017-03-15T11:17:31.000Z", "size": 25}
| 2022-12-01T00:00:00 |
text
| 6 |
CARLA: It doesn't take much to remember what day they come....
MICHAEL: My brain is shrinking. There's only so much room.
CARLA: Don't give me that preoccupied scientist crap. I'm trying to get ready for....
MICHAEL: I thought artists worked with their subconscious....
MICHAEL: How come it's my responsibility?
CARLA: Because....
|
462aba1c9577607f70732d983b035ae58c3ec798
|
2023-03-17T10:44:15.344629
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7545454545, "avg_line_length": 55, "ext": "txt", "max_forks_count": 6, "max_forks_repo_forks_event_max_datetime": "2022-03-23T10:29:04.000Z", "max_forks_repo_forks_event_min_datetime": "2021-08-18T04:07:58.000Z", "max_forks_repo_head_hexsha": "5d013ed4a21f6dff8f806edd74fedca7a988db3f", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "daveshap/MoralCompass", "max_forks_repo_path": "experiment1/contexts/dialog_14705.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "5d013ed4a21f6dff8f806edd74fedca7a988db3f", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "daveshap/MoralCompass", "max_issues_repo_path": "experiment1/contexts/dialog_14705.txt", "max_line_length": 85, "max_stars_count": 16, "max_stars_repo_head_hexsha": "5d013ed4a21f6dff8f806edd74fedca7a988db3f", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "daveshap/MoralCompass", "max_stars_repo_path": "experiment1/contexts/dialog_14705.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-23T03:05:36.000Z", "max_stars_repo_stars_event_min_datetime": "2021-08-18T04:07:55.000Z", "size": 330}
| 2022-12-01T00:00:00 |
text
| 7 |
1616947419943:8540451:。
1616947454759:905935:打卡
1616947487745:12985100:←◡←
1616947546804:749693:
1616947788879:7333858:(⌒▽⌒)
1616947825072:22414381:_(:3」∠)_
1616947940805:117438604:(=・ω・=)
1616948070974:14102063:_(:3」∠)_
1616948188831:175954405:签到
1616948290330:34742650:_(:3」∠)_
1616948322045:91466846:(=ω=)
1616948645257:3246309:(=ω=)
1616949327356:5149140:
1616950656817:25527586:(｀・ω・´)
1616950805431:24288594:(=・ω・=)
1616957458751:5391099:(=・ω・=)
1616967360841:2525372:(｀・ω・´)
1616982352393:5149140:
1616984834333:8771875:.
1616984908230:29767194:（￣▽￣）
1616988694293:316509893:打卡
1616990731410:179211261:(⌒▽⌒)
1616991403483:3140418:^^
1616992887318:31310270:(=・ω・=)
1616992891289:270339326:⁄(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄
1617013869540:2061407:(^・ω・^ )
1617014706724:698894:好.
1617015421370:7120625:(=・ω・=)
1617016021396:7120625:(=・ω・=)
1617021109813:17792597:|ω・`)
1617027272066:15567746:签到
SPEAKERNUM29;698894:lyfKiririn:1,749693:隣人Aさん:1,905935:星咏者Official:1,2061407:キラル:1,2525372:羽川_翼:1,3140418:⑨⑨⑨牌小火柴:1,3246309:棒棒糖你要么:1,5149140:Oue:2,5391099:猫耳缘子团子:1,7120625:时雨樱忆:2,7333858:冲国媂媂:1,8540451:黑姬雾:1,8771875:シャナの菠萝包:1,12985100:凉宫望:1,14102063:White__Cola:1,15567746:Malus_Mill:1,17792597:丹羽夕弦:1,22414381:渡鸦不毒:1,24288594:陌丶森:1,25527586:熊耳喵喵喵喵:1,29767194:神奇滴小6仔:1,31310270:高坂已婚:1,34742650:Minecraft_Fws:1,91466846:寒の舞:1,117438604:ライスシャワーOfficial:1,175954405:嘤嘤嘤の饭团:1,179211261:Zeroの浮云:1,270339326:天蓝owo:1,316509893:黑白棋-:1
V2
|
a4bc26218403409cdb4d1e719dcb6637d2211770
|
2023-03-17T09:56:54.310393
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7815362932, "avg_line_length": 41.7352941176, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "22349492/2021-3-29.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "22349492/2021-3-29.txt", "max_line_length": 526, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "22349492/2021-3-29.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 1419}
| 2022-12-01T00:00:00 |
text
| 8 |
1641312131602:14064125:(￣3￣)
1641350655204:279698:打卡
1641357729692:10876260:1
1641360543500:31310270:(=・ω・=)
1641367739802:6710279:1
1641373204741:185709708:(￣3￣)
1641393758024:20832060:。
1641395789543:25788366:_(:з」∠)_
SPEAKERNUM8;279698:30块SC:1,6710279:ロンリーl:1,10876260:zajiko:1,14064125:盛百凡:1,20832060:霏华韶烁:1,25788366:五更琴叶:1,31310270:高坂已婚:1,185709708:博衣古夜璃:1
V2
|
4acea60cb60b5c615f87b2991f7a0593b0d4134c
|
2023-03-17T10:35:19.455220
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8082191781, "avg_line_length": 33.1818181818, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "e7a72204a4547a0eaa37ed3f687e744ea9f6f0cc", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "cuihua0/bilibili-vtuber-danmaku", "max_forks_repo_path": "danmaku/7183898/2022-1-5.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "e7a72204a4547a0eaa37ed3f687e744ea9f6f0cc", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "cuihua0/bilibili-vtuber-danmaku", "max_issues_repo_path": "danmaku/7183898/2022-1-5.txt", "max_line_length": 141, "max_stars_count": null, "max_stars_repo_head_hexsha": "e7a72204a4547a0eaa37ed3f687e744ea9f6f0cc", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "cuihua0/bilibili-vtuber-danmaku", "max_stars_repo_path": "danmaku/7183898/2022-1-5.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 365}
| 2022-12-01T00:00:00 |
text
| 9 |
accessible
add
all
alter
analyze
and
as
asc
asensitive
before
between
bigint
binary
blob
both
by
call
cascade
case
change
char
character
check
collate
column
condition
constraint
continue
convert
create
cross
current_date
current_time
current_timestamp
current_user
cursor
database
databases
day_hour
day_microsecond
day_minute
day_second
dec
decimal
declare
default
delayed
delete
desc
describe
deterministic
distinct
distinctrow
div
double
drop
dual
each
else
elseif
enclosed
escaped
exists
exit
explain
false
fetch
float
float4
float8
for
force
foreign
from
fulltext
grant
group
having
high_priority
hour_microsecond
hour_minute
hour_second
if
ignore
in
index
infile
inner
inout
insensitive
insert
int
int1
int2
int3
int4
int8
integer
interval
into
is
iterate
join
key
keys
kill
leading
leave
left
like
limit
linear
lines
load
localtime
localtimestamp
lock
long
longblob
longtext
loop
low_priority
master_ssl_verify_server_cert
match
maxvalue
mediumblob
mediumint
mediumtext
middleint
minute_microsecond
minute_second
mod
modifies
natural
not
no_write_to_binlog
null
numeric
on
optimize
option
optionally
or
order
out
outer
outfile
precision
primary
procedure
purge
range
read
reads
read_write
real
references
regexp
release
rename
repeat
replace
require
resignal
restrict
return
revoke
right
rlike
schema
schemas
second_microsecond
select
sensitive
separator
set
show
signal
smallint
spatial
specific
sql
sqlexception
sqlstate
sqlwarning
sql_big_result
sql_calc_found_rows
sql_small_result
ssl
starting
straight_join
table
terminated
then
tinyblob
tinyint
tinytext
to
trailing
trigger
true
undo
union
unique
unlock
unsigned
update
usage
use
using
utc_date
utc_time
utc_timestamp
values
varbinary
varchar
varcharacter
varying
when
where
while
with
write
xor
year_month
zerofill
general
ignore_server_ids
master_heartbeat_period
maxvalue
resignal
signal
slow
|
a2ddca787301befee73ac3fb2358517207b2a8d9
|
2023-03-17T10:45:06.151827
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8752688172, "avg_line_length": 7.982832618, "ext": "txt", "max_forks_count": 6, "max_forks_repo_forks_event_max_datetime": "2021-08-10T16:47:47.000Z", "max_forks_repo_forks_event_min_datetime": "2017-07-20T18:50:38.000Z", "max_forks_repo_head_hexsha": "00684aae7ff53cee354bd60928d4e9c91d9c6ff2", "max_forks_repo_licenses": ["BSD-2-Clause"], "max_forks_repo_name": "austinhyde/DBSteward", "max_forks_repo_path": "lib/DBSteward/sql_format/mysql5/mysql5_identifier_blacklist.txt", "max_issues_count": 19, "max_issues_repo_head_hexsha": "00684aae7ff53cee354bd60928d4e9c91d9c6ff2", "max_issues_repo_issues_event_max_datetime": "2021-08-10T17:35:27.000Z", "max_issues_repo_issues_event_min_datetime": "2017-05-02T21:11:28.000Z", "max_issues_repo_licenses": ["BSD-2-Clause"], "max_issues_repo_name": "austinhyde/DBSteward", "max_issues_repo_path": "lib/DBSteward/sql_format/mysql5/mysql5_identifier_blacklist.txt", "max_line_length": 29, "max_stars_count": 21, "max_stars_repo_head_hexsha": "00684aae7ff53cee354bd60928d4e9c91d9c6ff2", "max_stars_repo_licenses": ["BSD-2-Clause"], "max_stars_repo_name": "austinhyde/DBSteward", "max_stars_repo_path": "lib/DBSteward/sql_format/mysql5/mysql5_identifier_blacklist.txt", "max_stars_repo_stars_event_max_datetime": "2022-02-09T13:33:21.000Z", "max_stars_repo_stars_event_min_datetime": "2017-05-09T08:25:39.000Z", "size": 1860}
| 2022-12-01T00:00:00 |
text
| 10 |
1616947960892:13577825:_(:3」∠)_
1616948709712:88259560:晚上好
1616950148342:38279764:（￣▽￣）
1616977645466:51910330:(=・ω・=)
1616977771708:51910330:(=・ω・=)
1616977859990:51910330:(=・ω・=)
SPEAKERNUM4;13577825:蓝川_绊:1,38279764:MESSI的小煤球:1,51910330:果家结缡:3,88259560:霞悟茶:1
V2
|
3e55b99e33d9b31b51db5031b6f05da8a7fe0147
|
2023-03-17T10:38:13.996900
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7727272727, "avg_line_length": 29.3333333333, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "21664773/2021-3-29.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "21664773/2021-3-29.txt", "max_line_length": 79, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "21664773/2021-3-29.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 264}
| 2022-12-01T00:00:00 |
text
| 11 |
1 0.5196859824046921 0.5893359375 0.25609799999999994 0.38874999999999993
|
de1d78bffaadebd75a8703bb91dd956c1a735dfb
|
2023-03-17T09:58:36.056075
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8783783784, "avg_line_length": 37, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "0a695c16a73f050680561cbcab6be05775991e0f", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "MrFlexi/darknet_for_colab", "max_forks_repo_path": "data/images/train/Person/33e7a9aa85063b49.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "0a695c16a73f050680561cbcab6be05775991e0f", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "MrFlexi/darknet_for_colab", "max_issues_repo_path": "data/images/train/Person/33e7a9aa85063b49.txt", "max_line_length": 73, "max_stars_count": null, "max_stars_repo_head_hexsha": "0a695c16a73f050680561cbcab6be05775991e0f", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "MrFlexi/darknet_for_colab", "max_stars_repo_path": "data/images/train/Person/33e7a9aa85063b49.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 74}
| 2022-12-01T00:00:00 |
text
| 12 |
112
03, 10, 2017
Vitis vinifera
Grapevine yellow
3
|
42f647e9f45770c9f3bf6504c6a96308a779b22e
|
2023-03-17T10:08:49.885528
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7843137255, "avg_line_length": 10.2, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "dcce6e519c182214db84f85a44c2cdd2c26b4028", "max_forks_repo_licenses": ["BSD-2-Clause"], "max_forks_repo_name": "DrAlbertCruz/Salento-Grapevine-Yellows-Dataset", "max_forks_repo_path": "raw/GY/112.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "dcce6e519c182214db84f85a44c2cdd2c26b4028", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-2-Clause"], "max_issues_repo_name": "DrAlbertCruz/Salento-Grapevine-Yellows-Dataset", "max_issues_repo_path": "raw/GY/112.txt", "max_line_length": 16, "max_stars_count": null, "max_stars_repo_head_hexsha": "dcce6e519c182214db84f85a44c2cdd2c26b4028", "max_stars_repo_licenses": ["BSD-2-Clause"], "max_stars_repo_name": "DrAlbertCruz/Salento-Grapevine-Yellows-Dataset", "max_stars_repo_path": "raw/GY/112.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 51}
| 2022-12-01T00:00:00 |
text
| 13 |
form=七绝
tags=
谷口春残黄鸟稀，
辛夷花尽杏花飞。
始怜幽竹山窗下，
不改清阴待我归。
|
9309218626ba1b8780fdaa2c3045e016b1612a5d
|
2023-03-17T10:15:51.643803
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7307692308, "avg_line_length": 5.7777777778, "ext": "txt", "max_forks_count": 165, "max_forks_repo_forks_event_max_datetime": "2022-03-15T16:40:14.000Z", "max_forks_repo_forks_event_min_datetime": "2016-04-11T07:25:35.000Z", "max_forks_repo_head_hexsha": "808ebe3ec9c950b55b9471be2405ebda5f06cf5e", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "KuDikan/shici", "max_forks_repo_path": "web/src/main/resources/text/06.\u5510\u4ee3/\u94b1\u8d77/\u66ae\u6625\u5f52\u6545\u5c71\u8349\u5802.txt", "max_issues_count": 10, "max_issues_repo_head_hexsha": "808ebe3ec9c950b55b9471be2405ebda5f06cf5e", "max_issues_repo_issues_event_max_datetime": "2021-10-30T11:17:37.000Z", "max_issues_repo_issues_event_min_datetime": "2018-11-27T05:10:30.000Z", "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "KuDikan/shici", "max_issues_repo_path": "web/src/main/resources/text/06.\u5510\u4ee3/\u94b1\u8d77/\u66ae\u6625\u5f52\u6545\u5c71\u8349\u5802.txt", "max_line_length": 8, "max_stars_count": 394, "max_stars_repo_head_hexsha": "808ebe3ec9c950b55b9471be2405ebda5f06cf5e", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "michaelliao/shici", "max_stars_repo_path": "web/src/main/resources/text/06.\u5510\u4ee3/\u94b1\u8d77/\u66ae\u6625\u5f52\u6545\u5c71\u8349\u5802.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-27T08:01:00.000Z", "max_stars_repo_stars_event_min_datetime": "2016-03-06T12:17:02.000Z", "size": 52}
| 2022-12-01T00:00:00 |
text
| 14 |
Id Api covered Execution time # of failed execution # of total execution
1 AccessibleExtendedTable, AccessibleHypertext, AccessibleValue, AccessibleContext, AccessControlContext, AccessibleRelation 18 8 29
2 AccessControlContext, AccessibleExtendedText, AccessibleSelection, AccessibleKeyBinding, AccessibleTable, AccessibleStreamable, AccessibleRole 9 6 7
3 AccessController, AccessibleSelection 15 0 16
4 AccessibleTable, AccessibleStreamable, AccessibleRelation 10 12 16
5 AccessibleTextSequence, AccessMode, AccessibleResourceBundle, Accessible, AccessibleStateSet, AccessibleHypertext 19 2 3
6 AccessibleObject, AccessControlContext, AccessibleTable, AccessController 19 23 25
7 AccessibleBundle, AccessibleState, AccessControlContext, AccessibleEditableText, AccessibleTextSequence, AccessibleText, AccessibleStateSet 4 16 21
8 AccessibleAction, AccessibleTable, AccessibleRelation 15 10 11
9 AccessibleAction, AccessibleIcon, Accessible 5 5 7
10 AccessibleExtendedText, AccessibleResourceBundle, AccessMode, Accessible, AccessibleAttributeSequence 14 26 38
11 AccessibleValue, AccessibleBundle 11 5 23
12 AccessibleTableModelChange, AccessibleText 19 11 19
13 AccessibleStateSet, AccessibleValue, AccessibleAction 10 20 37
14 AccessibleEditableText, AccessController 9 1 34
15 AccessibleStreamable, AccessibleIcon, AccessibleRelation, AccessibleKeyBinding, AccessibleTableModelChange 8 13 17
16 AccessibleBundle, AccessibleAction, AccessibleTextSequence 13 1 3
17 AccessibleBundle 7 4 29
18 AccessibleState 9 18 38
19 AccessibleExtendedText, AccessibleKeyBinding, Accessible, AccessibleText 13 3 6
20 AccessibleIcon, AccessibleTable, AccessibleAction, AccessibleState, AccessibleComponent, AccessibleHypertext 13 9 17
21 AccessibleStateSet, AccessibleRole, AccessController 17 20 38
22 AccessibleExtendedText, AccessibleTextSequence, AccessibleHyperlink, AccessibleObject, AccessibleHypertext, AccessMode 5 1 8
23 AccessibleResourceBundle, AccessControlContext, AccessibleEditableText, AccessibleState 7 18 22
24 AccessibleHyperlink, AccessibleStreamable, AccessibleRelation, AccessibleValue 15 5 27
25 AccessibleComponent, AccessibleAttributeSequence, AccessibleTextSequence, AccessibleRelation 12 33 34
26 AccessibleBundle, AccessibleSelection, AccessibleTable, AccessibleText, AccessibleComponent 9 7 13
27 AccessibleTable, AccessibleBundle, AccessibleAction, AccessibleRelation, AccessMode, AccessibleText, AccessController 14 3 33
28 AccessibleEditableText, AccessibleRelation, AccessibleComponent, AccessibleAttributeSequence, AccessibleTableModelChange, AccessibleHyperlink, AccessibleStateSet 13 9 11
29 AccessibleAction, AccessibleExtendedTable 7 2 9
30 AccessibleBundle, AccessibleExtendedText 10 2 3
31 AccessibleRole, AccessibleBundle, Accessible, AccessibleText 3 9 11
32 AccessibleAction, AccessibleExtendedTable, AccessibleContext, AccessibleText, AccessMode 9 1 2
33 AccessibleExtendedText, AccessibleValue, AccessibleTextSequence, AccessibleSelection 10 1 2
34 AccessController 13 1 15
35 AccessibleTable, AccessibleTextSequence, AccessibleResourceBundle, AccessMode, AccessibleText, AccessibleAction 19 1 20
36 Accessible 10 1 2
37 AccessMode, AccessibleExtendedTable, AccessControlContext, AccessibleTableModelChange, Accessible, AccessibleHypertext, AccessibleSelection 3 16 36
38 AccessibleHyperlink, AccessibleTableModelChange 10 5 31
39 AccessibleSelection, AccessibleHypertext, AccessibleValue, AccessMode, AccessibleText 13 8 9
40 AccessibleSelection, AccessibleState, AccessibleRelation, AccessControlContext, AccessibleIcon, AccessibleComponent 18 1 4
41 AccessibleObject, AccessibleRole, AccessibleStreamable, AccessibleResourceBundle 19 17 23
42 AccessibleEditableText, AccessibleHyperlink, AccessibleTable, AccessibleAttributeSequence, AccessibleExtendedTable, AccessibleIcon, AccessibleTextSequence 9 15 29
43 AccessibleExtendedComponent, AccessControlContext, AccessibleBundle 12 0 2
44 AccessibleSelection 5 8 18
45 AccessibleHyperlink, AccessibleText, AccessibleStreamable, AccessibleIcon, AccessibleRole, AccessController 5 2 21
46 AccessControlContext, AccessibleObject, AccessibleHyperlink, AccessibleRole, AccessibleComponent, AccessibleExtendedTable 11 13 14
47 AccessibleTableModelChange, AccessibleTable, AccessibleRole 17 9 14
48 AccessibleRelationSet 5 5 7
49 AccessibleAttributeSequence 12 10 33
50 AccessibleTableModelChange, AccessibleHypertext, AccessMode, AccessibleBundle, AccessibleStreamable, Accessible 10 16 17
51 AccessibleComponent, Accessible, AccessMode, AccessibleText, AccessibleResourceBundle, AccessibleState, AccessControlContext 10 16 29
52 AccessController, AccessibleAction 6 11 16
53 AccessibleExtendedComponent, AccessibleAttributeSequence 3 25 28
54 AccessibleTable 6 0 4
55 AccessibleHyperlink, AccessibleTextSequence, AccessibleHypertext, AccessControlContext 18 10 11
56 AccessibleRole, AccessibleContext 4 14 19
57 AccessibleExtendedComponent, AccessMode, AccessibleExtendedText, AccessibleIcon, AccessibleEditableText, AccessibleSelection 11 27 31
58 AccessibleResourceBundle, AccessibleKeyBinding, AccessibleStreamable, AccessibleText 12 7 38
59 AccessibleTableModelChange, AccessibleHypertext, AccessibleRole, AccessibleTable 8 1 11
60 AccessibleExtendedText, AccessibleTable 9 34 35
61 AccessibleExtendedComponent, AccessibleRelation, AccessibleResourceBundle, AccessibleContext, AccessMode, AccessibleValue 18 20 23
62 AccessibleStreamable, AccessibleObject 4 1 4
63 AccessibleRole, AccessController, AccessibleRelation, AccessibleStreamable, AccessibleExtendedTable, AccessibleExtendedText 12 6 15
64 AccessibleContext, AccessControlContext 15 0 2
65 AccessibleHyperlink, AccessibleResourceBundle, AccessibleContext, AccessibleHypertext, AccessibleAttributeSequence 15 11 12
66 AccessibleHyperlink, AccessibleEditableText 9 16 26
67 AccessibleRelation, AccessibleBundle, AccessibleExtendedComponent, AccessibleContext 15 3 8
68 AccessibleExtendedComponent, AccessibleContext, AccessibleBundle 12 13 31
69 AccessibleTableModelChange, AccessibleRole, AccessController, AccessibleRelationSet, AccessibleExtendedTable, AccessibleTextSequence 3 10 21
70 AccessibleRelationSet, AccessibleHypertext, AccessibleExtendedTable, AccessibleContext, AccessibleStateSet, AccessibleTableModelChange 14 9 24
71 AccessibleStateSet, AccessibleBundle, AccessibleStreamable, AccessibleAttributeSequence, AccessController 5 5 15
72 Accessible 18 0 2
73 AccessibleSelection, AccessibleExtendedTable, Accessible 6 0 11
74 AccessibleResourceBundle, AccessibleValue, AccessibleObject 6 6 31
75 AccessibleExtendedComponent, AccessibleHypertext, AccessibleRole, AccessibleStateSet, AccessibleState, AccessController 11 1 2
76 AccessibleTextSequence, AccessibleContext, AccessibleBundle, AccessibleStateSet, AccessibleEditableText, AccessibleAction, AccessibleComponent 11 4 20
77 AccessibleValue, AccessibleSelection, AccessibleHypertext, AccessibleTextSequence, AccessibleBundle 14 9 12
78 AccessibleRole, AccessibleText, AccessibleRelationSet, AccessibleEditableText, AccessibleExtendedComponent, AccessibleAction 18 3 5
79 AccessibleComponent, AccessibleObject, AccessibleExtendedComponent, AccessibleAction 3 15 19
80 AccessController, AccessibleHypertext, AccessibleAttributeSequence, AccessibleStreamable, AccessibleBundle, AccessibleResourceBundle 10 2 36
81 AccessibleObject, AccessibleTable, AccessController, AccessibleHypertext, AccessibleKeyBinding 3 8 12
82 AccessibleState, AccessibleTable 6 17 21
83 AccessibleHypertext, AccessibleBundle, AccessibleHyperlink, AccessibleIcon 4 21 32
84 AccessibleHyperlink, AccessibleExtendedComponent, AccessibleStreamable, AccessibleResourceBundle, AccessibleRelation, AccessibleStateSet, AccessibleAttributeSequence 10 13 39
85 AccessibleStateSet 15 3 22
86 AccessibleExtendedTable 6 3 7
87 AccessibleStateSet 3 3 19
88 AccessController, AccessMode, AccessibleComponent 19 1 15
89 AccessibleHyperlink, AccessibleBundle 12 3 19
90 AccessibleIcon, AccessibleExtendedText, AccessibleHyperlink, AccessController, AccessibleStateSet, AccessibleText, AccessibleContext 17 15 18
91 AccessibleEditableText 6 5 14
92 AccessibleTable, AccessibleRelationSet, AccessibleState, AccessController, AccessibleRelation, AccessibleAction 4 9 36
93 AccessibleStateSet, AccessibleValue, AccessibleRelationSet, AccessibleText, AccessibleHypertext 10 5 15
94 AccessibleIcon, AccessibleExtendedTable, AccessibleRelationSet, AccessibleKeyBinding 7 4 5
95 AccessibleHypertext, AccessMode, AccessibleBundle, AccessibleTableModelChange, AccessController 14 6 24
96 AccessibleTextSequence, AccessibleRelationSet, AccessibleTable, AccessibleResourceBundle, AccessibleState, Accessible 14 23 27
97 AccessibleKeyBinding, AccessibleRole, AccessibleExtendedComponent, AccessibleSelection, AccessibleExtendedTable, AccessibleHyperlink 9 6 16
98 AccessMode, AccessibleObject, AccessibleTextSequence 16 3 7
99 AccessibleHypertext, AccessibleState, AccessibleText, AccessibleResourceBundle, AccessibleObject, AccessibleStateSet, AccessibleExtendedComponent 4 4 5
100 AccessibleContext, AccessibleSelection 12 1 2
101 AccessibleTableModelChange, AccessibleBundle, AccessibleContext, AccessibleEditableText 8 2 30
102 AccessibleExtendedTable, AccessControlContext, AccessibleRelation, AccessibleHypertext, AccessibleSelection 4 9 19
103 AccessibleStateSet 9 18 22
104 AccessibleText 9 6 24
105 AccessibleBundle, AccessibleAction, AccessibleExtendedText, AccessibleTableModelChange 14 2 10
106 AccessControlContext 4 21 34
107 AccessibleEditableText, AccessMode, AccessibleValue, AccessibleHyperlink, AccessibleIcon, AccessibleKeyBinding 10 6 16
108 AccessMode, AccessibleAction, AccessibleResourceBundle, AccessibleText 13 2 5
109 AccessControlContext, AccessibleExtendedTable, AccessMode, AccessibleAttributeSequence, AccessibleAction, AccessibleText 5 18 21
110 AccessibleRelation, AccessibleRelationSet, AccessibleBundle, AccessibleHypertext, AccessibleKeyBinding 14 0 4
111 AccessibleRelationSet, AccessibleTable, AccessibleTextSequence, AccessibleKeyBinding, AccessMode, AccessibleStateSet 8 0 4
112 AccessController, AccessibleStreamable 6 0 18
113 AccessibleValue, AccessibleText, AccessibleRole, AccessibleEditableText, AccessibleTable, AccessibleHyperlink 6 1 5
114 AccessibleValue, AccessibleObject, AccessibleText, AccessibleExtendedComponent 9 7 28
115 AccessControlContext 8 1 23
116 AccessibleStreamable, AccessibleStateSet, AccessibleTextSequence, AccessibleContext 7 0 6
117 AccessibleText, AccessibleStreamable 17 5 15
118 AccessMode, AccessibleTableModelChange, AccessControlContext, AccessibleState, AccessibleKeyBinding, AccessibleAttributeSequence, AccessibleTable 19 8 13
119 AccessibleRelation, AccessibleKeyBinding, AccessibleRelationSet, AccessibleAction, AccessibleBundle 18 0 3
120 AccessibleEditableText 5 2 6
121 AccessibleBundle, AccessibleSelection, AccessibleRole, AccessibleAction 12 12 36
122 AccessMode, AccessibleComponent, AccessibleAction, AccessibleSelection 18 28 30
123 AccessibleObject, AccessibleHypertext, AccessibleState, AccessibleKeyBinding, AccessibleAction, Accessible 4 29 34
124 AccessibleRole, AccessibleRelation, AccessibleState, AccessController 6 8 9
125 AccessibleStreamable, AccessibleRelation, AccessibleRelationSet, AccessibleExtendedText, AccessibleRole 9 27 28
126 AccessibleStreamable, AccessibleTextSequence, Accessible, AccessibleTableModelChange, AccessibleAttributeSequence 3 5 36
127 AccessibleComponent 11 4 6
128 AccessibleTextSequence, Accessible, AccessibleComponent, AccessibleContext, AccessibleAction, AccessibleRelationSet, AccessibleEditableText 3 0 10
129 AccessibleTableModelChange, AccessibleExtendedText, AccessibleHyperlink, AccessibleRelationSet, AccessibleHypertext 3 18 36
130 AccessibleTableModelChange, AccessibleExtendedTable, AccessibleAttributeSequence 4 2 5
131 AccessibleIcon 7 0 2
132 AccessibleExtendedComponent, AccessibleRelation 13 34 36
133 AccessController, AccessibleContext, AccessibleRelationSet 6 13 37
134 AccessibleText, AccessController, AccessibleObject, AccessibleHyperlink, AccessibleHypertext 9 18 37
135 AccessibleContext, AccessibleComponent, AccessibleStateSet, AccessibleHyperlink 17 13 34
136 AccessibleTextSequence, AccessibleEditableText, AccessibleStreamable, AccessibleExtendedTable, AccessibleContext, AccessibleResourceBundle, AccessibleIcon 10 13 22
137 AccessibleRelation, AccessibleContext, AccessibleComponent, AccessController 3 15 20
138 Accessible, AccessibleState, AccessibleIcon, AccessibleRelationSet, AccessibleAction, AccessibleSelection, AccessibleObject 5 1 16
139 AccessibleBundle, AccessibleObject, AccessibleStreamable, AccessMode, AccessibleExtendedText, AccessibleTableModelChange 12 1 6
140 AccessibleComponent, AccessibleHyperlink, AccessibleState 12 17 32
141 AccessibleExtendedText, AccessibleRelationSet, AccessControlContext, AccessibleState 3 2 3
142 AccessController, AccessibleRelation, AccessibleContext, AccessibleStreamable 14 5 20
143 Accessible, AccessibleKeyBinding, AccessibleSelection, AccessibleExtendedTable 19 7 10
144 AccessibleValue, AccessibleExtendedTable, AccessibleAttributeSequence, AccessMode, AccessibleContext 13 12 25
145 AccessibleKeyBinding, AccessibleAttributeSequence, AccessibleBundle, AccessibleExtendedText, AccessibleRelationSet, AccessibleStreamable, AccessibleContext 3 9 21
146 AccessibleHypertext, AccessibleResourceBundle, AccessibleExtendedComponent, AccessibleRelationSet, AccessibleIcon, AccessibleKeyBinding 17 24 36
147 AccessibleEditableText, AccessibleExtendedText, AccessibleTable, AccessibleRelationSet 9 1 2
148 AccessibleObject, AccessibleRelation 10 2 13
149 AccessMode, AccessibleEditableText 12 4 29
150 AccessibleStateSet, AccessibleBundle, AccessibleStreamable, AccessibleAttributeSequence, AccessController 4 8 15
|
73b6e3125957c879105bcfe4c30104c0ff513f1a
|
2023-03-17T10:27:26.030316
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8789813538, "avg_line_length": 13783, "ext": "txt", "max_forks_count": 13, "max_forks_repo_forks_event_max_datetime": "2022-01-18T22:27:13.000Z", "max_forks_repo_forks_event_min_datetime": "2016-08-08T06:05:33.000Z", "max_forks_repo_head_hexsha": "7ce9080b65483da3c16352183ea1ce391e5adcce", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "vrozin/avmf", "max_forks_repo_path": "src/main/java/org/avmframework/examples/testoptimization/originalTestSuite.txt", "max_issues_count": 19, "max_issues_repo_head_hexsha": "7ce9080b65483da3c16352183ea1ce391e5adcce", "max_issues_repo_issues_event_max_datetime": "2020-11-14T13:44:32.000Z", "max_issues_repo_issues_event_min_datetime": "2017-01-20T09:12:38.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "vrozin/avmf", "max_issues_repo_path": "src/main/java/org/avmframework/examples/testoptimization/originalTestSuite.txt", "max_line_length": 13783, "max_stars_count": 18, "max_stars_repo_head_hexsha": "7ce9080b65483da3c16352183ea1ce391e5adcce", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "vrozin/avmf", "max_stars_repo_path": "src/main/java/org/avmframework/examples/testoptimization/originalTestSuite.txt", "max_stars_repo_stars_event_max_datetime": "2021-04-10T22:29:07.000Z", "max_stars_repo_stars_event_min_datetime": "2016-07-14T20:04:43.000Z", "size": 13783}
| 2022-12-01T00:00:00 |
text
| 15 |
1627315320898:8161701:打卡
1627315351153:38279764:(^・ω・^ )
1627315371871:15567746:(°∀°)ﾉ
1627315777543:13060513:_(:3」∠)_
1627315904760:19689735:(=・ω・=)
1627318798639:45401108:_(:3」∠)_
1627328900342:349765207:（￣▽￣）
1627337142895:9293678:打卡
1627349565334:2361726:⁄(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄
1627350319749:6700920:(>﹏<)
1627350946429:473044325:打卡
1627361788789:22823543:(=・ω・=)
1627362337500:2255243:(=・ω・=)
1627366977475:179325415:每日打卡
1627367013019:179325415:每日打卡
1627378376277:425392123:dk
1627384326403:74459562:(⌒▽⌒)
1627385209641:354409835:晚上好
1627385674049:14968921:1
1627388863024:5288006:.
1627389254672:30328830:(=・ω・=)
1627389940792:20832060:.
1627391587091:351385481:打卡
1627393623913:85790419:www
1627395316210:2332084:⁄(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄
1627396000677:12550519:0.0
SPEAKERNUM25;2255243:绫地栞那丶:1,2332084:初次啾啾请温柔:1,2361726:仿生音乐珈:1,5288006:南璃宫:1,6700920:炭酸水素钠:1,8161701:嘉然今天吃洋葱:1,9293678:穆鲨:1,12550519:奶油蘑菇有点咸:1,13060513:doki゛:1,14968921:ASKIB:1,15567746:Malus-Mill:1,19689735:四次元吸管:1,20832060:不认识这几个字:1,22823543:山苍梧:1,30328830:DoveAsuna:1,38279764:MESSI的小煤球:1,45401108:我叫不周:1,74459562:以后再也不改名字了:1,85790419:DD-9527:1,179325415:柒宫靖:2,349765207:今天也要咕咕o:1,351385481:最迷人的小鸟:1,354409835:瑞吉儿-加德纳:1,425392123:红龙black:1,473044325:Dai4k:1
V2
|
42ef0004f22cf1bc50afa647320516df6940c973
|
2023-03-17T10:08:49.885528
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7944307944, "avg_line_length": 42.1034482759, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "2292462/2021-7-27.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "2292462/2021-7-27.txt", "max_line_length": 460, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "2292462/2021-7-27.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 1221}
| 2022-12-01T00:00:00 |
text
| 16 |
【 文献号 】2-52
【原文出处】商业经济与管理
【原刊地名】杭州
【原刊期号】200001
【原刊页号】14～15
【分 类 号】F10
【分 类 名】国民经济管理
【复印期号】200005
【 标 题 】产业结构与经济增长中的政府产业政策
【 作 者 】刘嘉良
【作者简介】刘嘉良 重庆市委党校 630041
【 正 文 】
经济只有协调稳定增长，才能取得理想的速度。经济增长速度的高低是众多因素共同作用的结果，产业结构是否合理是影响经济增长速度
的一个举足轻重的因素。
一、产业结构与经济增长的关系
关于产业结构变化促进经济增长的原因，马克思的再生产理论早已从原则上做出了回答。即要使社会再生产和扩大再生产能顺利进行，社
会生产的第一部类和第二部类之间，两大部类内部各部门之间，必须保持一种协调的比例关系，以便保证生产过程中各种消耗在价值形态与实
物形态上得到补偿，社会再生产才能顺利进行。这是从静态的观察得到的结论。从动态观点出发，在社会再生产过程中，新的科学发明和新技
术在实际生产中的应用，将使原有的一些生产部门随着社会对该部门产品需求的减少而萎缩甚至被淘汰。而另一些生产部门随着社会对该部门
产品需求的增加而迅速发展起来。各生产部门在这种此消彼长的过程中，原有的比例关系变得不太协调，要求经常地调整生产的比例，协调各
产业部门之间的关系。现代经济学中的资源配置理论也阐明了产业结构调整与经济增长的关系。按照资源配置原理，单位资源的产出量，在各
个不同的生产部门有着很大的差异。这是因为：(1)科学技术进步及其应用情况在各部门是不尽相同的。技术进步很快的部门，劳动生产率高，
生产过程中的物质消耗低，因此，单位产品的成本比较低，单位资源的产出率较高；技术进步慢的部门，劳动生产率低，生产过程中的物质消
耗高，单位产品成本比较高，所以单位资源的使用效率差。(2)社会需求结构的变化对各产业部门产生不同的效应。当社会对某些产品的需求远
远超过供给时，生产这些产品的部门由于产品价格上升，从而提高了这些产业部门的单位资源产出效益。相反，当社会对某些产品的需求过低
从而使这些产品滞销时，由于价格下降，从而降低了这些部门的单位资源的产出效益。
正是由于不同的生产部门或行业的单位产出效益不同，因此，从宏观经济的角度来看，在资源总量一定的条件下，由于配置方式和结构不
同，所产生的总体效益也就不同。换句话说，在社会投入资源相等的情况下，不同的产业结构将会导致极不相同的整体经济增长效果。如果社
会能够充分满足产出效益高的部门对资源的需求，将产出效益低的部门中滞留的过剩资源转移出去，社会主义经济就会随着社会产品总量扩大
而较快地增长；反之，如果单位资源产出效益低的部门占用资源过多，而产出效益高的部门不能得到充分的资源供给，那么社会主义经济就达
不到应有的增长速度。
从长期的动态过程看，科学技术不断进步，需求结构随着社会文化和经济发生着变化，各产业部门之间的单位资源产出效益的对比也经常
发生着变化。为了保证资源得到有效利用，并使社会主义经济能够在协调稳定的前提下以较快的速度增长，社会就要不断地调整资源配置的方
式与结构，促使产业结构不断地升级换代。可以这样说，现代经济增长方式本质上是结构主导型增长方式，即以产业结构变动为核心的经济增
长。
二、经济增长中的政府产业政策
一个国家或地区要获得较快的经济发展，非常关键的一环就是要看是否具备较强的产业结构转换力，而这取决于政府是否能制定出正确的
和强有力的产业政策。产业政策的核心是促使产业部门的均衡与发展。依据社会主义的生产目的，适应经济发展目标的需要，我国现阶段的产
业政策应体现在以下几个方面：
1、合理配置资源，实现产业结构的非均衡发展
我国经济增长与产业结构变化有与一般经济增长过程相区别的特殊规律性，其中最为典型的是产业结构配置顺序的超前发展。发达国家产
业结构变化是沿着农业——轻工业——重基础工业——重加工工业——服务业的产业配置顺序发展的。这一结构演变过程反映了社会经济发展
的内在规律性。但我国经济的高速增长却不能像发达国家那样等农业发展到一定水平，依靠农业提供的剩余积累来发展轻工业，靠轻工业积累
来发展重工业。而是要利用“后发优势”、“大国效应”等有利条件，提前把现代产业部门引入产业结构，加速产业结构高度化的进程。这就
决定了我国经济增长中产业结构变化顺序与发达国家的差别性和明显的超前性。建国以来我国能在短短的时间里建立起比较完整的工业体系并
使我国经济在30年的时间里保持较高的经济增长速度，正是政府采取重工业前倾的产业政策的结果。
实行优先发展重工业和基础工业的产业政策既促进了经济增长，也造成了产业结构的严重失衡。实行产业结构非均衡协调发展政策，正是
由前一时期我国产业结构变动的超前性所遗留下的结构缺陷和现阶段我国产业结构动态变化的客观实际决定的。产业结构非均衡协调政策的主
要内容是：以支配产业的发展来带动从属产业的发展；以“瓶颈”产业的发展来带动被制约产业的发展；以主导产业的发展来带动相关产业的
发展。上述产业政策的实现必须建立在国家加大对高新科技投入的基础上，因为只有不断发展高新技术，才能缩小各产业部门的技术差距并强
化产业间的关联效应；才能改造落后产业并达到逐步改进乃至消除我国二元经济结构的目的。
2、制定有利于产业结构调整的经济政策
实现产业结构合理化，达到社会主义经济持续协调稳定增长的目的，必须要有相应的政策措施。在市场经济条件下，资源的配置要通过资
金在各产业间的分配来实现，产业结构在某种意义上可看作是投资结构的完成与物化形态。因此，改变增量结构要从调整投资结构入手。根据
我国当前情况，实现产业结构调整任务，投资的重点应该是：(1)保证能源、原材料、交通运输、邮电通讯等基础产业的投资，消除增长的“瓶
颈”。(2)保证传统产业的技术改造投资，解决产业的“虚高变化”。(3)保证高新技术产业有足够的投资，为未来产业结构高度化和经济高速
增长准备条件。为此，应采取如下政策措施：(1)价格政策：调整基础产业价格和收费标准，使基础产业利润率达到社会平均利润率水平；(2)
税收政策：对基础产业降低税收水平，对高技术产业实行免税或减税；(3)信贷政策：优先保证基础产业，技术改造项目，特别是高新技术开发
所需资金，实行优惠利率，由财政给银行一定补贴。
3、深化国有企业改革，引导企业按市场需求变化方向实现资源在产业间的流动
在一定时期内，可供分配的资源增量是有限的，社会资源的大部分是沉淀在各产业部门中形成为存量。因此，产业结构大规模地调整单凭
资源增量分配结构的变化，不改变存量的结构是难以实现的，而且这样还会影响增量分配结构，使增量结构变化对产业结构变化的影响减弱或
扭曲。要促进存量结构变化，从而达到产业结构调整的目的就必须做到：第一、深化企业改革，使企业真正成为独立的商品生产者或经营者，
建立企业破产制度，通过优胜劣汰实现存量资产的流动。第二、完善市场体系，培育产权市场，以资产为纽带，进行社会资源的重新组合。第
三、加快企业股份制改造，为存量资源的转移提供便利形式。第四、改革价格体系，以利益机制引导资源合理流动。
4、规划主导产业群的发展战略
产业结构调整对经济增长的促进作用，还表现在主导产业的变动可为经济增长注入新的动力。所谓主导产业是指那些具有广阔的市场，技
术先进，产值在国民生产总值中占较大比重，能带动其它部门共同增长的产业部门。由于主导产业具有较长的关系链，它通过后向联系，为一
系列部门创造了需求；它通过前向联系，为一系列部门提供了生产投入品。因此，主导产业的增长会带动整个社会经济共同增长。选择和论证
在今后一个发展时期对社会经济发展会产生重大影响的主导产业，促使社会资金、劳动力和科学技术力量向这些产业适当集中，推动产业结构
向更高层次转换。
我国传统的经济增长模式有两个缺陷，一是属于速度型增长，割裂了产业之间的联系，片面追求高速度，造成总量失衡和结构失衡并存的
局面。二是以外延扩大再生产为主，导致原有产业结构的复制和强化。因此，要加快实现产业结构合理化的进程，必须在经济增长模式上真正
实现两个转变，即：以速度增长型为主转变为效益型增长为主；由外延扩大再生产为主转变为内涵扩大再生产为主。
收稿日期 1999-11-06
【责任编辑】李怀政
【校 对 者】李怀政
|
456ad3ba2ebf55a15a982b7d9d7a7d64281d8994
|
2023-03-17T10:14:53.824526
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.84606957, "avg_line_length": 46.2151898734, "ext": "txt", "max_forks_count": 12, "max_forks_repo_forks_event_max_datetime": "2021-11-17T06:55:00.000Z", "max_forks_repo_forks_event_min_datetime": "2019-11-19T12:37:15.000Z", "max_forks_repo_head_hexsha": "11d0c9b8d095d0e80d80c256b9c9321b1f0055dc", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "smoothnlp/DomainWords", "max_forks_repo_path": "Corpus_Fudan/test/C34-Economy/C34-Economy2753.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "11d0c9b8d095d0e80d80c256b9c9321b1f0055dc", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "smoothnlp/DomainWords", "max_issues_repo_path": "Corpus_Fudan/test/C34-Economy/C34-Economy2753.txt", "max_line_length": 66, "max_stars_count": 35, "max_stars_repo_head_hexsha": "11d0c9b8d095d0e80d80c256b9c9321b1f0055dc", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "smoothnlp/DomainWords", "max_stars_repo_path": "Corpus_Fudan/test/C34-Economy/C34-Economy2753.txt", "max_stars_repo_stars_event_max_datetime": "2022-01-10T09:26:01.000Z", "max_stars_repo_stars_event_min_datetime": "2019-11-05T12:08:24.000Z", "size": 3651}
| 2022-12-01T00:00:00 |
text
| 17 |
1,3268,1068,135,278
2,3318,1068,135,278
3,3327,1070,135,278
4,3330,1068,135,278
5,3327,1068,135,278
6,3328,1068,135,278
7,3331,1068,135,278
8,3332,1068,135,278
9,3335,1068,135,278
10,3336,1068,135,278
11,3339,1068,135,278
12,3340,1068,135,278
13,3343,1068,135,278
14,3344,1068,135,278
15,3347,1068,135,278
16,3348,1068,135,278
17,3351,1068,135,278
18,3352,1068,135,278
19,3355,1068,135,278
20,3356,1068,135,278
21,3359,1068,135,278
22,3360,1068,135,278
23,3363,1068,135,278
24,3364,1068,135,278
25,3367,1068,135,278
26,3368,1068,135,278
27,3371,1068,135,278
28,3374,1068,135,278
29,3375,1068,135,278
30,3376,1068,135,278
31,3379,1068,135,278
32,3380,1068,135,278
33,3383,1068,135,278
34,3384,1068,135,278
35,3387,1068,135,278
36,3388,1068,135,278
37,3393,1068,135,278
38,3392,1068,135,278
39,3395,1068,135,278
40,3396,1068,135,278
41,3399,1068,135,278
42,3400,1068,135,278
43,3405,1068,135,278
44,3404,1068,135,278
45,3407,1068,135,278
46,3408,1068,135,278
47,3411,1068,135,278
48,3412,1068,135,278
49,3417,1068,135,278
50,3416,1068,135,278
51,3419,1068,135,278
52,3420,1068,135,278
53,3423,1068,135,278
54,3424,1068,135,278
55,3429,1068,135,278
56,3428,1068,135,278
57,3431,1068,135,278
58,3432,1068,135,278
59,3435,1068,135,278
60,3436,1068,135,278
61,3441,1068,135,278
62,3440,1068,135,278
63,3443,1068,135,278
64,3444,1068,135,278
65,3447,1068,135,278
66,3448,1068,135,278
67,3453,1068,135,278
68,3452,1068,135,278
69,3455,1068,135,278
70,3456,1068,135,278
71,3459,1068,135,278
72,3460,1068,135,278
73,3465,1068,135,278
74,3464,1068,135,278
75,3467,1068,135,278
76,3468,1068,135,278
77,3471,1068,135,278
78,3472,1068,135,278
79,3477,1068,135,278
80,3476,1068,135,278
81,3479,1068,135,278
82,3480,1068,135,278
83,3483,1068,135,278
84,3484,1068,135,278
85,3489,1068,135,278
86,3488,1068,135,278
87,3491,1068,135,278
88,3492,1068,135,278
89,3495,1068,135,278
90,3496,1068,135,278
91,3501,1068,135,278
92,3500,1068,135,278
93,3503,1068,135,278
94,3504,1068,135,278
95,3507,1068,135,278
96,3508,1068,135,278
97,3513,1068,135,278
98,3512,1068,135,278
99,3515,1068,135,278
100,3516,1068,135,278
101,3519,1068,135,278
102,3520,1068,135,278
103,3525,1068,135,278
104,3524,1068,135,278
105,3527,1068,135,278
106,3528,1068,135,278
107,3531,1068,135,278
108,3532,1068,135,278
109,3537,1068,135,278
110,3536,1068,135,278
111,3539,1068,135,278
112,3540,1068,135,278
113,3543,1068,135,278
114,3544,1068,135,278
115,3549,1068,135,278
116,3548,1068,135,278
117,3551,1068,135,278
118,3552,1068,135,278
119,3555,1068,135,278
120,3556,1068,135,278
121,3561,1068,135,278
122,3560,1068,135,278
123,3563,1068,135,278
124,3564,1068,135,278
125,3567,1068,135,278
126,3568,1068,135,278
127,3573,1068,135,278
128,3572,1068,135,278
129,3575,1068,135,278
130,3576,1068,135,278
131,3579,1068,135,278
132,3580,1068,135,278
133,3585,1068,135,278
134,3584,1068,135,278
135,3587,1068,135,278
136,3588,1068,135,278
137,3591,1068,135,278
138,3592,1068,135,278
139,3597,1068,135,278
140,3596,1068,135,278
141,3599,1068,135,278
142,3600,1068,135,278
143,3603,1068,135,278
144,3604,1068,135,278
145,3609,1068,135,278
146,3610,1068,135,278
147,3611,1068,135,278
148,3612,1068,135,278
149,3615,1068,135,278
150,3616,1068,135,278
151,3621,1068,135,278
152,3622,1068,135,278
153,3623,1068,135,278
154,3624,1068,135,278
155,3627,1068,135,278
156,3628,1068,135,278
157,3633,1068,135,278
158,3634,1068,135,278
159,3635,1068,135,278
160,3636,1068,135,278
161,3639,1068,135,278
162,3640,1068,135,278
163,3645,1068,135,278
164,3644,1068,135,278
165,3647,1068,135,278
166,3648,1068,135,278
167,3651,1068,135,278
168,3652,1068,135,278
169,3657,1068,135,278
170,3656,1068,135,278
171,3659,1068,135,278
172,3660,1068,135,278
173,3663,1068,135,278
174,3664,1068,135,278
175,3669,1068,135,278
176,3668,1068,135,278
177,3671,1068,135,278
178,3672,1068,135,278
179,3675,1068,135,278
180,3676,1068,135,278
181,3681,1068,135,278
182,3680,1068,135,278
183,3683,1068,135,278
184,3684,1068,135,278
185,3687,1068,135,278
186,3688,1068,135,278
187,3693,1068,135,278
188,3692,1068,135,278
189,3695,1068,135,278
190,3696,1068,135,278
191,3699,1068,135,278
192,3700,1068,135,278
193,3705,1068,135,278
194,3704,1068,135,278
195,3707,1068,134,278
196,3708,1068,134,278
197,3711,1068,134,278
198,3712,1068,134,278
199,3717,1068,134,278
200,3716,1068,134,278
201,3719,1068,134,278
202,3720,1068,134,278
203,3723,1068,134,278
204,3724,1068,134,278
205,3729,1068,134,278
206,3728,1068,134,278
207,3731,1068,134,278
208,3732,1068,134,278
209,3735,1068,134,278
210,3736,1068,134,278
211,3741,1068,134,278
212,3740,1068,134,278
213,3743,1068,134,278
214,3744,1068,134,278
215,3747,1068,134,278
216,3748,1068,134,278
217,3753,1068,134,278
218,3752,1068,134,278
219,3755,1068,134,278
220,3756,1068,134,278
221,3759,1068,134,278
222,3760,1068,134,278
223,3765,1068,134,278
224,3764,1068,134,278
225,3767,1068,134,278
226,3768,1068,134,278
227,3771,1068,134,278
228,3772,1068,134,278
229,3777,1068,134,278
230,3776,1068,134,278
231,3779,1068,134,278
232,3780,1068,134,278
233,3783,1068,134,278
234,3784,1068,134,278
235,3789,1068,134,278
236,3788,1068,134,278
237,3791,1068,134,278
238,3792,1068,134,278
239,3795,1068,134,278
240,3796,1068,134,278
241,3801,1068,134,278
242,3800,1068,134,278
243,3803,1068,134,278
244,3804,1068,134,278
245,3807,1068,134,278
246,3808,1068,134,278
247,3813,1068,134,278
248,3814,1068,134,278
249,3815,1068,134,278
250,3816,1068,134,278
251,3819,1068,134,278
252,3820,1068,134,278
253,3825,1068,134,278
254,3826,1068,134,278
255,3827,1068,134,278
256,3828,1068,134,278
257,3831,1068,134,278
258,3832,1068,134,278
259,3837,1068,134,278
260,3838,1068,134,278
261,3839,1068,134,278
262,3840,1068,134,278
263,2,1068,135,278
264,3,1068,135,278
265,8,1068,135,278
266,9,1068,135,278
267,10,1068,135,278
268,11,1068,135,278
269,14,1068,135,278
270,15,1068,135,278
271,20,1068,135,278
272,21,1068,135,278
273,22,1068,135,278
274,23,1068,135,278
275,26,1068,135,278
276,27,1068,135,278
277,32,1068,135,278
278,33,1068,135,278
279,34,1068,135,278
280,35,1068,135,278
281,38,1068,135,278
282,39,1068,135,278
283,44,1068,135,278
284,45,1068,135,278
285,46,1068,135,278
286,47,1068,135,278
287,50,1068,135,278
288,51,1068,135,278
289,56,1068,135,278
290,57,1068,135,278
291,58,1068,135,278
292,59,1068,135,278
293,62,1068,135,278
294,63,1068,135,278
295,68,1068,135,278
296,69,1068,135,278
297,70,1068,135,278
298,71,1068,135,278
299,74,1068,135,278
300,75,1068,135,278
301,80,1068,135,278
302,81,1068,135,278
303,82,1068,135,278
304,83,1068,135,278
305,86,1068,135,278
306,87,1068,135,278
307,92,1068,135,278
308,93,1068,135,278
309,94,1068,135,278
310,95,1068,135,278
311,98,1068,135,278
312,99,1068,135,278
313,104,1068,135,278
314,105,1068,135,278
315,106,1068,135,278
316,107,1068,135,278
317,110,1068,135,278
318,111,1068,135,278
319,116,1068,135,278
320,117,1068,135,278
321,118,1068,135,278
322,119,1068,135,278
323,122,1068,135,278
324,123,1068,135,278
325,128,1068,135,278
326,129,1068,135,278
327,130,1068,135,278
328,131,1068,135,278
329,134,1068,135,278
330,135,1068,135,278
331,140,1068,135,278
332,141,1068,135,278
333,142,1068,135,278
334,143,1068,135,278
335,146,1068,135,278
336,147,1068,135,278
337,152,1068,135,278
338,153,1068,135,278
339,154,1068,135,278
340,155,1068,135,278
341,158,1068,135,278
342,159,1068,135,278
343,164,1068,135,278
344,165,1068,135,278
345,166,1068,135,278
346,167,1068,135,278
347,170,1068,135,278
348,171,1068,135,278
349,176,1068,135,278
350,177,1068,135,278
351,178,1068,135,278
352,179,1068,135,278
353,182,1068,135,278
354,183,1068,135,278
355,188,1068,135,278
356,189,1068,135,278
357,190,1068,135,278
358,191,1068,135,278
359,194,1068,135,278
360,195,1068,135,278
361,200,1068,135,278
362,201,1068,135,278
363,202,1068,135,278
364,203,1068,135,278
365,206,1068,135,278
366,207,1068,135,278
367,212,1068,135,278
368,213,1068,135,278
369,214,1068,135,278
370,215,1068,135,278
371,218,1068,135,278
372,219,1068,135,278
373,224,1068,135,278
374,225,1068,135,278
375,226,1068,135,278
376,227,1068,135,278
377,230,1068,135,278
378,231,1068,135,278
379,236,1068,135,278
380,237,1068,135,278
381,238,1068,135,278
382,239,1068,135,278
383,242,1068,135,278
384,243,1068,135,278
385,248,1068,135,278
386,249,1068,135,278
387,250,1068,135,278
388,251,1068,135,278
389,254,1068,135,278
390,255,1068,135,278
391,260,1068,135,278
392,261,1068,135,278
393,262,1068,135,278
394,263,1068,135,278
395,266,1068,135,278
396,267,1068,135,278
397,272,1068,135,278
398,273,1068,135,278
399,274,1068,135,278
400,275,1068,135,278
401,278,1068,135,278
402,279,1068,135,278
403,284,1068,135,278
404,285,1068,135,278
405,286,1068,135,278
406,287,1068,135,278
407,290,1068,135,278
408,291,1068,135,278
409,296,1068,135,278
410,297,1068,135,278
411,298,1068,135,278
412,299,1068,135,278
413,302,1068,135,278
414,303,1068,135,278
415,308,1068,135,278
416,309,1068,135,278
417,310,1068,135,278
418,311,1068,135,278
419,314,1068,135,278
420,315,1068,135,278
421,320,1068,135,278
422,321,1068,135,278
423,322,1068,135,278
424,323,1068,135,278
425,326,1068,135,278
426,327,1068,135,278
427,332,1068,135,278
428,333,1068,135,278
429,334,1068,135,278
430,335,1068,135,278
431,338,1068,135,278
432,339,1068,135,278
433,344,1068,135,278
434,345,1068,135,278
435,346,1068,135,278
436,347,1068,135,278
437,350,1068,135,278
438,351,1068,135,278
439,356,1068,135,278
440,357,1068,135,278
441,358,1068,135,278
442,359,1068,135,278
443,362,1068,135,278
444,363,1068,135,278
445,368,1068,135,278
446,369,1068,135,278
447,370,1068,135,278
448,371,1068,135,278
449,374,1068,135,278
450,375,1068,135,278
451,380,1068,135,278
452,381,1068,135,278
453,382,1068,135,278
454,383,1068,135,278
455,386,1068,135,278
456,387,1068,135,278
457,392,1068,135,278
458,393,1068,135,278
459,394,1068,135,278
460,395,1068,135,278
461,398,1068,135,278
462,399,1068,135,278
463,404,1068,135,278
464,405,1068,135,278
465,406,1068,135,278
466,407,1068,135,278
467,410,1068,135,278
468,411,1068,135,278
469,416,1068,135,278
470,417,1068,135,278
471,418,1068,135,278
472,419,1068,135,278
473,422,1068,135,278
474,423,1068,135,278
475,428,1068,135,278
476,429,1068,135,278
477,430,1068,135,278
478,431,1068,135,278
479,434,1068,135,278
480,435,1068,135,278
481,440,1068,135,278
482,441,1068,135,278
483,442,1068,135,278
484,443,1068,135,278
485,446,1068,135,278
486,447,1068,135,278
487,452,1068,135,278
488,453,1068,135,278
489,454,1068,135,278
490,455,1068,135,278
491,458,1068,135,278
492,459,1068,135,278
493,464,1068,135,278
494,465,1068,135,278
495,466,1068,135,278
496,467,1068,135,278
497,470,1068,135,278
498,471,1068,135,278
499,476,1068,135,278
500,477,1068,135,278
501,478,1068,135,278
502,479,1068,135,278
503,482,1068,135,278
504,483,1068,135,278
505,488,1068,135,278
506,489,1068,135,278
507,490,1068,135,278
508,491,1068,135,278
509,494,1068,135,278
510,495,1068,135,278
511,500,1068,135,278
512,501,1068,135,278
513,502,1068,135,278
514,503,1068,135,278
515,506,1068,135,278
516,507,1068,135,278
517,512,1068,135,278
518,513,1068,135,278
519,514,1068,135,278
520,515,1068,135,278
521,518,1068,135,278
522,519,1068,135,278
523,524,1068,135,278
524,525,1068,135,278
525,526,1068,135,278
526,527,1068,135,278
527,530,1068,135,278
528,531,1068,135,278
529,536,1068,135,278
530,537,1068,135,278
531,538,1068,135,278
532,539,1068,135,278
533,542,1068,135,278
534,543,1068,135,278
535,548,1068,135,278
536,549,1068,135,278
537,550,1068,135,278
538,551,1068,135,278
539,554,1068,135,278
540,555,1068,135,278
541,560,1068,135,278
542,561,1068,135,278
543,562,1068,135,278
544,563,1068,135,278
545,566,1068,135,278
546,567,1068,135,278
547,572,1068,135,278
548,573,1068,135,278
549,574,1068,135,278
550,575,1068,135,278
551,578,1068,135,278
552,579,1068,135,278
553,584,1068,135,278
554,585,1068,135,278
555,586,1068,135,278
556,587,1068,135,278
557,590,1068,135,278
558,591,1068,135,278
559,596,1068,135,278
560,597,1068,135,278
561,598,1068,135,278
562,599,1068,135,278
563,602,1068,135,278
564,603,1068,135,278
565,608,1068,135,278
566,609,1068,135,278
567,610,1068,135,278
568,611,1068,135,278
569,614,1068,135,278
570,615,1068,135,278
571,620,1068,135,278
572,621,1068,135,278
573,622,1068,135,278
574,623,1068,135,278
575,626,1068,135,278
576,627,1068,135,278
577,632,1068,135,278
578,633,1068,135,278
579,634,1068,135,278
580,635,1068,135,278
581,638,1068,135,278
582,639,1068,135,278
583,644,1068,135,278
584,645,1068,135,278
585,646,1068,135,278
586,647,1068,135,278
587,650,1068,135,278
588,651,1068,135,278
589,656,1068,135,278
590,657,1068,135,278
591,658,1068,135,278
592,659,1068,135,278
593,662,1068,135,278
594,663,1068,135,278
595,668,1068,135,278
596,669,1068,135,278
597,670,1068,135,278
598,671,1068,135,278
599,674,1068,135,278
600,675,1068,135,278
601,680,1068,135,278
|
10db79a5108e27fb3815f7168b40fccab683bd84
|
2023-03-17T10:26:52.436374
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7637764327, "avg_line_length": 21.1312292359, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2022-01-17T04:28:58.000Z", "max_forks_repo_forks_event_min_datetime": "2022-01-17T04:28:58.000Z", "max_forks_repo_head_hexsha": "882ac910726896bfe2e3dd70b62cebca25e6fcbe", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "VitaAmbroz/360Tracking", "max_forks_repo_path": "code/annotation/results/KCF/11/11-result-border.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "882ac910726896bfe2e3dd70b62cebca25e6fcbe", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "VitaAmbroz/360Tracking", "max_issues_repo_path": "code/annotation/results/KCF/11/11-result-border.txt", "max_line_length": 21, "max_stars_count": 2, "max_stars_repo_head_hexsha": "882ac910726896bfe2e3dd70b62cebca25e6fcbe", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "VitaAmbroz/360Tracking", "max_stars_repo_path": "code/annotation/results/KCF/11/11-result-border.txt", "max_stars_repo_stars_event_max_datetime": "2021-08-02T11:26:01.000Z", "max_stars_repo_stars_event_min_datetime": "2021-05-20T09:56:32.000Z", "size": 12721}
| 2022-12-01T00:00:00 |
text
| 18 |
Title : Mathematical Sciences: Topics in Dynamical Systems and Differential Geometry
Type : Award
NSF Org : DMS
Latest
Amendment
Date : March 25, 1993
File : a9104134
Award Number: 9104134
Award Instr.: Continuing grant
Prgm Manager: Joe W. Jenkins
DMS DIVISION OF MATHEMATICAL SCIENCES
MPS DIRECT FOR MATHEMATICAL & PHYSICAL SCIEN
Start Date : July 1, 1991
Expires : August 31, 1995 (Estimated)
Expected
Total Amt. : $395375 (Estimated)
Investigator: Michael M. Boyle |||EMAIL_ADDRESS||| (Principal Investigator current)
Michael Brin (Co-Principal Investigator current)
Daniel J. Rudolph (Co-Principal Investigator current)
Sponsor : U of MD College Park
3112 Lee Building
College Park, MD 207425141 301/405-6269
NSF Program : 1281 ANALYSIS PROGRAM
Fld Applictn: 0000099 Other Applications NEC
21 Mathematics
Program Ref :
Abstract :
This award will support the research activities of three
investigators in several areas of symbolic, smooth, and measurable
dynamics. Among the topics in symbolic dynamics are automorphisms
of the shift, inverse problems for non-negative matrices, and
general structural questions. In smooth dynamics some of the
topics are ergodicity and topological transitivity of partially
hyperbolic dynamical systems, geodesic flows, and singular spaces
of non-positive curvature. Among the topics to be studied in
measurable dynamics are restricted orbit equivalence, non-singular
and rational joinings, and the construction of natural smooth
models of measurable systems.
This research group will study dynamical systems. The notion
of a dynamical system is a very general one. The idea is just that
the system must evolve in time in some way. The object is to learn
things of a general nature about the dynamics in the hope of
classifying large families of these systems. The dynamical systems
under consideration often behave chaotically over large time
periods even when they are completely predictable. To understand
how nevertheless to extract knowledge in this case is one of the
most important problems facing science today. This is one of the
ultimate goals in the study of dynamical systems.
|
1b78275b5ad6f359ac3d3a56567b411323ec3ab2
|
2023-03-17T10:32:16.565750
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.5678770036, "avg_line_length": 59.9411764706, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "f94cc3dd54227642ed47ba8144c5784d091323d1", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "kgusman/SearchEngine", "max_forks_repo_path": "Corpus/Part 1/awards_1991/awd_1991_04/a9104134.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "f94cc3dd54227642ed47ba8144c5784d091323d1", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "kgusman/SearchEngine", "max_issues_repo_path": "Corpus/Part 1/awards_1991/awd_1991_04/a9104134.txt", "max_line_length": 93, "max_stars_count": 3, "max_stars_repo_head_hexsha": "f94cc3dd54227642ed47ba8144c5784d091323d1", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "kgusman/SearchEngine", "max_stars_repo_path": "Corpus/Part 1/awards_1991/awd_1991_04/a9104134.txt", "max_stars_repo_stars_event_max_datetime": "2021-12-22T01:03:05.000Z", "max_stars_repo_stars_event_min_datetime": "2020-04-18T03:11:06.000Z", "size": 3057}
| 2022-12-01T00:00:00 |
text
| 19 |
//Mage
14,7,6190 //Cold Bolt
19,7,6189 //Fire Bolt
20,7,6191 //Lightning Bolt
21,9,6197 //Thunder Storm
//Wizard
83,10,6194 //Meteor Storm
84,9,6198 //Jupitel Thunder
85,10,6193 //Lord of Vermillion
86,9,6199 //Water Ball
89,10,6192 //Storm Gust
90,8,6201 //Earth Spike
91,9,6200 //Heaven's Drive
//Warlock
2210,8,6205 //Drain Life
2211,12,6204 //Crimson Rock
2213,22,6195 //Comet
2214,12,6203 //Chain Lightning
2216,12,6202 //Earth Strain
2217,22,6196 //Tetra Vortex
|
72ac0444daf1f8c233952b39b58cb9d57baeb883
|
2023-03-17T09:57:48.740367
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7345399698, "avg_line_length": 22.1, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "106f177fbaaada301ef7727e9e5b2ec0a94e84de", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "taicomjp/plutoea", "max_forks_repo_path": "db/spellbook_db.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "106f177fbaaada301ef7727e9e5b2ec0a94e84de", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "taicomjp/plutoea", "max_issues_repo_path": "db/spellbook_db.txt", "max_line_length": 73, "max_stars_count": null, "max_stars_repo_head_hexsha": "106f177fbaaada301ef7727e9e5b2ec0a94e84de", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "taicomjp/plutoea", "max_stars_repo_path": "db/spellbook_db.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 663}
| 2022-12-01T00:00:00 |
text
| 20 |
TIME15:21ONLINE215
TIME15:22ONLINE215
TIME15:22ONLINE250
TIME15:23ONLINE250
TIME15:23ONLINE384
TIME15:24ONLINE384
TIME15:24ONLINE619
TIME15:25ONLINE619
TIME15:25ONLINE652
1608362756369:25982191:难道是新老婆！？
TIME15:26ONLINE652
1608362782862:388438621:晚好～
TIME15:26ONLINE686
1608362805995:25982191:下午好！
TIME15:27ONLINE686
TIME15:27ONLINE719
TIME15:28ONLINE719
TIME15:28ONLINE752
TIME15:29ONLINE752
TIME15:29ONLINE886
1608362994936:58398580:今天有缘
TIME15:30ONLINE886
1608363004456:58398580:欢迎来到泥宝的直播间，喜欢的话请关注泥宝
1608363010466:58398580:直播动态通知加Q群：1163151910
TIME15:30ONLINE921
TIME15:31ONLINE921
TIME15:31ONLINE921
TIME15:32ONLINE921
1608363131403:58398580:欢迎来到泥宝的直播间，喜欢的话请关注泥宝
TIME15:32ONLINE922
1608363169568:25982191:okok
1608363183222:353558122:（￣▽￣）(⌒▽⌒)
TIME15:33ONLINE922
1608363210174:353558122:露个头而已
TIME15:33ONLINE922
TIME15:34ONLINE922
TIME15:34ONLINE923
1608363298513:25982191:(￣3￣)
TIME15:35ONLINE923
1608363316542:25982191:你这样是不行的
TIME15:35ONLINE924
TIME15:36ONLINE924
1608363379334:25982191:0.0
TIME15:36ONLINE923
TIME15:37ONLINE923
TIME15:37ONLINE922
TIME15:38ONLINE922
TIME15:38ONLINE922
TIME15:39ONLINE922
TIME15:39ONLINE922
TIME15:40ONLINE922
TIME15:40ONLINE1023
TIME15:41ONLINE1023
TIME15:41ONLINE1023
TIME15:42ONLINE1023
TIME15:42ONLINE1024
TIME15:43ONLINE1024
TIME15:43ONLINE1024
TIME15:44ONLINE1024
TIME15:44ONLINE1024
TIME15:45ONLINE1024
TIME15:45ONLINE1023
TIME15:46ONLINE1023
TIME15:46ONLINE1024
TIME15:47ONLINE1024
TIME15:47ONLINE1024
TIME15:48ONLINE1024
TIME15:48ONLINE1023
TIME15:49ONLINE1023
1608364152360:359923328:(｀・ω・´)
1608364159313:359923328:好耶~
TIME15:49ONLINE1024
TIME15:50ONLINE1024
TIME15:50ONLINE1024
TIME15:51ONLINE1024
TIME15:51ONLINE1024
TIME15:52ONLINE1024
TIME15:52ONLINE1024
TIME15:53ONLINE1024
TIME15:53ONLINE1124
TIME15:54ONLINE1124
TIME15:54ONLINE1124
TIME15:55ONLINE1124
TIME15:55ONLINE1124
TIME15:56ONLINE1124
TIME15:56ONLINE1123
TIME15:57ONLINE1123
TIME15:57ONLINE1123
TIME15:58ONLINE1123
TIME15:58ONLINE1123
TIME15:59ONLINE1123
TIME15:59ONLINE1123
TIME16:0ONLINE1123
TIME16:0ONLINE1122
TIME16:1ONLINE1122
TIME16:1ONLINE1221
TIME16:2ONLINE1221
TIME16:2ONLINE1221
TIME16:3ONLINE1221
TIME16:3ONLINE1222
TIME16:4ONLINE1222
TIME16:4ONLINE1222
TIME16:5ONLINE1222
TIME16:5ONLINE1222
TIME16:6ONLINE1222
TIME16:6ONLINE1222
TIME16:7ONLINE1222
TIME16:7ONLINE1222
TIME16:8ONLINE1222
TIME16:8ONLINE1222
TIME16:9ONLINE1222
TIME16:9ONLINE1321
TIME16:10ONLINE1321
TIME16:10ONLINE1322
TIME16:11ONLINE1322
TIME16:11ONLINE1322
1608365506852:1924470:下午好啊
TIME16:12ONLINE1322
1608365549788:1924470:强强
TIME16:12ONLINE1323
TIME16:13ONLINE1323
TIME16:13ONLINE1333
TIME16:14ONLINE1333
TIME16:14ONLINE1332
TIME16:15ONLINE1332
1608365717154:1924470:鸭子(´；ω；`)(´；ω；`)
1608365744468:1924470:笔自己画画.jpg
TIME16:15ONLINE1331
TIME16:16ONLINE1331
TIME16:16ONLINE1331
TIME16:17ONLINE1331
TIME16:17ONLINE1332
TIME16:18ONLINE1332
1608365919396:345986799:下午好呀！
TIME16:18ONLINE1330
TIME16:19ONLINE1330
TIME16:19ONLINE1329
TIME16:20ONLINE1329
TIME16:20ONLINE1328
1608366048987:1924470:怎么还给笔提意见
TIME16:21ONLINE1328
TIME16:21ONLINE1327
TIME16:22ONLINE1327
TIME16:22ONLINE1326
TIME16:23ONLINE1326
TIME16:23ONLINE1275
TIME16:24ONLINE1275
TIME16:24ONLINE1174
TIME16:25ONLINE1174
TIME16:25ONLINE1175
TIME16:26ONLINE1175
TIME16:26ONLINE1175
1608366414159:858487:这张图摸鱼了多久了？
1608366431536:858487:不直播的时候呢。。。
1608366433312:858487:打游戏
1608366433312:858487:懂了
TIME16:27ONLINE1175
1608366454013:858487:噢
1608366455838:858487:好厉害
1608366465019:858487:好厉害的理由
TIME16:27ONLINE1175
1608366468250:858487:脖子痛
1608366496677:858487:老可恶怪了
TIME16:28ONLINE1175
TIME16:28ONLINE1124
TIME16:29ONLINE1124
TIME16:29ONLINE1124
1608366592839:1924470:你问问笔同不同意！
TIME16:30ONLINE1124
TIME16:30ONLINE1124
TIME16:31ONLINE1124
TIME16:31ONLINE1124
TIME16:32ONLINE1124
TIME16:32ONLINE1124
1608366792384:13740989:泥巴下午好
TIME16:33ONLINE1124
TIME16:33ONLINE1124
1608366835920:13740989:下午好，播了一下午一个人没有我自闭了
TIME16:34ONLINE1124
1608366869663:25982191:哇
1608366871492:13740989:其实正常是时候也没有人就是了……
1608366888046:25982191:这么惨吗，关注了
TIME16:34ONLINE1226
1608366903323:13740989:？哈哈哈？
1608366908287:13740989:你迫害我我懂了
1608366917654:13740989:啊这谢谢
TIME16:35ONLINE1226
1608366927456:13740989:笑的好开心啊kora！
1608366928495:1924470:单推了
TIME16:35ONLINE1230
1608366979340:13740989:《 幸 灾 乐 祸 》
TIME16:36ONLINE1230
1608366992917:13740989:没想到你竟然是这样的泥巴
1608366997986:13740989:呜呜呜
TIME16:36ONLINE1232
1608367012360:13740989:带刺的泥巴
TIME16:37ONLINE1232
1608367041604:25982191:不对劲
1608367053108:13740989:我懂了，是覆土烧刀
TIME16:37ONLINE1237
TIME16:38ONLINE1237
TIME16:38ONLINE1248
TIME16:39ONLINE1248
TIME16:39ONLINE1245
TIME16:40ONLINE1245
TIME16:40ONLINE1194
TIME16:41ONLINE1194
TIME16:41ONLINE1193
TIME16:42ONLINE1193
TIME16:42ONLINE1192
TIME16:43ONLINE1192
TIME16:43ONLINE1191
TIME16:44ONLINE1191
TIME16:44ONLINE1194
TIME16:45ONLINE1194
TIME16:45ONLINE1194
TIME16:46ONLINE1194
TIME16:46ONLINE1194
TIME16:47ONLINE1194
TIME16:47ONLINE1192
1608367651122:1924470:听哭了
TIME16:47ONLINE1192
TIME16:48ONLINE1191
TIME16:48ONLINE1191
TIME16:49ONLINE1190
TIME16:49ONLINE1190
TIME16:50ONLINE1189
TIME16:50ONLINE1189
TIME16:51ONLINE1139
TIME16:51ONLINE1139
TIME16:52ONLINE1139
TIME16:52ONLINE1139
TIME16:53ONLINE1139
1608368031255:1924470:惊了
TIME16:53ONLINE1138
TIME16:54ONLINE1138
TIME16:54ONLINE1138
TIME16:55ONLINE1138
TIME16:55ONLINE1138
TIME16:56ONLINE1138
TIME16:56ONLINE1137
TIME16:56ONLINE1137
TIME16:57ONLINE1138
TIME16:57ONLINE1138
1608368303652:1924470:自己手工做一个（）
TIME16:58ONLINE1138
TIME16:58ONLINE1138
TIME16:59ONLINE1137
TIME16:59ONLINE1137
TIME17:0ONLINE1136
TIME17:0ONLINE1136
TIME17:1ONLINE1136
TIME17:1ONLINE1084
TIME17:1ONLINE1084
TIME17:2ONLINE1083
TIME17:2ONLINE1083
TIME17:3ONLINE1083
TIME17:3ONLINE1083
TIME17:4ONLINE1083
TIME17:4ONLINE1083
TIME17:5ONLINE545
TIME17:5ONLINE545
SPEAKERNUM9;858487:JJRRFF:9,1924470:大和级灭火器:10,13740989:小葵花_Channel:12,25982191:逗豆豆斗_-_-_-_-_-_-:9,58398580:西宫_晓:4,345986799:浅之羽:1,353558122:如何当合格的家里蹲:2,359923328:VelvetScarlaTina:2,388438621:がせム:1
V2
|
cd9437711a32291b186408646854730564c46a74
|
2023-03-17T09:56:48.713982
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8857433463, "avg_line_length": 22.2603773585, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "1012550/2020-12-19.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "1012550/2020-12-19.txt", "max_line_length": 196, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "1012550/2020-12-19.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 5899}
| 2022-12-01T00:00:00 |
text
| 21 |
TIME0:0ONLINE2835
TIME0:0ONLINE2837
TIME0:1ONLINE2837
TIME0:1ONLINE2830
TIME0:2ONLINE2830
TIME0:2ONLINE2832
TIME0:3ONLINE2832
TIME0:3ONLINE2819
TIME0:4ONLINE2819
1627401869529:224664194:记得喝水（小声
TIME0:4ONLINE2819
TIME0:4ONLINE2815
TIME0:5ONLINE2815
1627401919439:358603290:困困＊
1627401924370:358603290:晚安哈哈哈
1627401924370:110767787:白泽好诶！！
1627401926384:224664194:快睡睡
1627401935519:110767787:晚安子
TIME0:5ONLINE4188
TIME0:6ONLINE4188
1627401983629:110767787:你舰长群是不是要拉一波人了
TIME0:6ONLINE4152
TIME0:7ONLINE4152
TIME0:7ONLINE4188
1627402050517:110767787:你舰长群是不是要拉一波人了
TIME0:7ONLINE4111
TIME0:8ONLINE4111
TIME0:8ONLINE4077
TIME0:9ONLINE4152
TIME0:9ONLINE4077
TIME0:9ONLINE4111
TIME0:9ONLINE4077
TIME0:9ONLINE4043
TIME0:10ONLINE4043
TIME0:10ONLINE4013
TIME0:11ONLINE4013
TIME0:11ONLINE3982
TIME0:12ONLINE3982
TIME0:12ONLINE3951
TIME0:13ONLINE3951
TIME0:13ONLINE3921
TIME0:14ONLINE3921
TIME0:14ONLINE3890
1627402488708:224664194:欢迎来到直播间！
TIME0:15ONLINE3890
TIME0:15ONLINE3859
1627402572759:224664194:呃呜我也眠了 晚安子
1627402572759:50979055:(´·_·`)
TIME0:16ONLINE3859
TIME0:16ONLINE3826
TIME0:17ONLINE3826
1627402644186:110767787:好家伙
TIME0:17ONLINE3799
TIME0:18ONLINE3799
1627402704394:110767787:好家伙
TIME0:18ONLINE3826
TIME0:18ONLINE3782
TIME0:19ONLINE3782
1627402761521:20976156:帥
TIME0:19ONLINE3751
TIME0:20ONLINE3751
TIME0:20ONLINE3723
TIME0:21ONLINE3723
TIME0:21ONLINE3696
TIME0:22ONLINE3696
TIME0:22ONLINE3672
TIME0:23ONLINE3672
TIME0:23ONLINE3652
TIME0:24ONLINE3652
TIME0:24ONLINE3631
TIME0:25ONLINE3631
TIME0:25ONLINE3608
TIME0:26ONLINE3608
TIME0:26ONLINE3583
1627403228197:110767787:明儿加油子（
1627403238851:110767787:联动好诶 好诶好诶
TIME0:27ONLINE3583
TIME0:27ONLINE3563
TIME0:28ONLINE3563
TIME0:28ONLINE3543
TIME0:29ONLINE3543
TIME0:29ONLINE3520
TIME0:30ONLINE3520
TIME0:30ONLINE3495
1627403471161:110767787:狐狸仁！
1627403478961:110767787:好家伙
TIME0:31ONLINE3495
1627403491572:110767787:有个叫疯狂兔子人的游戏
1627403496230:110767787:双人的
1627403500758:110767787:可以看一下（
TIME0:31ONLINE3473
1627403517397:110767787:贴贴游戏
TIME0:32ONLINE3473
TIME0:32ONLINE3458
1627403573959:110767787:算了（
TIME0:33ONLINE3458
TIME0:33ONLINE3458
TIME0:33ONLINE3440
1627403640910:110767787:没诶
TIME0:34ONLINE3440
1627403665178:110767787:三厨狂喜
TIME0:34ONLINE3420
1627403676475:110767787:激推见成效（误
TIME0:35ONLINE3420
TIME0:35ONLINE3420
1627403744306:110767787:草哈哈哈哈哈哈哈哈
TIME0:35ONLINE3402
1627403756643:20976156:我去查一查有没有无限复活挂（
TIME0:36ONLINE3402
TIME0:36ONLINE3384
TIME0:37ONLINE3384
1627403827968:110767787:草
1627403841601:1875520:你急了
TIME0:37ONLINE3367
TIME0:38ONLINE3367
TIME0:38ONLINE3346
1627403926203:110767787:草哈哈哈哈哈哈
TIME0:39ONLINE3346
TIME0:39ONLINE3346
TIME0:39ONLINE3331
TIME0:40ONLINE3331
TIME0:40ONLINE3315
TIME0:41ONLINE3315
TIME0:41ONLINE3299
TIME0:42ONLINE3299
TIME0:42ONLINE3299
TIME0:42ONLINE3287
TIME0:43ONLINE3287
TIME0:43ONLINE3272
TIME0:44ONLINE3272
TIME0:44ONLINE3259
1627404294967:110767787:软软子呃呜
TIME0:45ONLINE3259
TIME0:45ONLINE3253
1627404336919:17672986:老婆晚上好
1627404363559:110767787:好家伙螺旋剑震撼
TIME0:46ONLINE3253
TIME0:46ONLINE3253
TIME0:46ONLINE3238
TIME0:47ONLINE3238
TIME0:47ONLINE3220
TIME0:48ONLINE3220
TIME0:48ONLINE3220
TIME0:48ONLINE3201
TIME0:49ONLINE3201
TIME0:49ONLINE3184
1627404601868:382068353:晚上好
TIME0:50ONLINE3184
1627404607308:1875520:晚上好
1627404629778:20976156:3有大门盾
1627404633659:20976156:更大
TIME0:50ONLINE3184
TIME0:50ONLINE3167
1627404650210:20976156:www
TIME0:51ONLINE3167
1627404676373:20976156:我更喜欢环骑套+传火头
TIME0:51ONLINE3152
TIME0:52ONLINE3152
TIME0:52ONLINE3143
TIME0:53ONLINE3143
TIME0:53ONLINE3128
1627404833318:1875520:鸟人家的猫精力好旺盛
1627404838942:1875520:发q了吗
TIME0:54ONLINE3128
1627404846027:1875520:夏天了也不发了啊
1627404864068:20976156:草
TIME0:54ONLINE3113
1627404874379:1875520:可怜猫猫
1627404882081:20976156:不用找公猫
TIME0:55ONLINE3113
1627404904253:20976156:直接阉掉
1627404931479:20976156:不是差不多吗
TIME0:55ONLINE3098
TIME0:56ONLINE3098
TIME0:56ONLINE3088
TIME0:57ONLINE3088
TIME0:57ONLINE3077
TIME0:58ONLINE3077
TIME0:58ONLINE3076
TIME0:59ONLINE3076
1627405150457:20976156:话说永劫多少分上段啊
TIME0:59ONLINE3068
1627405181489:20976156:那目标就是4000
1627405191337:20976156:兔现在3700
TIME1:0ONLINE3068
1627405209527:20976156:欸
1627405231135:20976156:我记错了？
TIME1:0ONLINE3060
1627405235745:20976156:淦
TIME1:1ONLINE3060
1627405290154:110767787:喵喵喵喵的妙啊（误
TIME1:1ONLINE3054
1627405309492:382068353:猫猫骂街
TIME1:2ONLINE3054
1627405334751:44026910:全程听喵喵叫
TIME1:2ONLINE3044
1627405361465:20976156:草
1627405365849:382068353:哈哈哈多了两只
TIME1:3ONLINE3044
1627405395585:20976156:一个狐狸一个兔在学猫叫
TIME1:3ONLINE3134
TIME1:4ONLINE3134
TIME1:4ONLINE3122
TIME1:5ONLINE3122
TIME1:5ONLINE3107
TIME1:6ONLINE3107
TIME1:6ONLINE3093
TIME1:7ONLINE3093
TIME1:7ONLINE3080
TIME1:8ONLINE3080
TIME1:8ONLINE3080
TIME1:8ONLINE3067
TIME1:9ONLINE3067
TIME1:9ONLINE3049
TIME1:10ONLINE3049
TIME1:10ONLINE3034
TIME1:11ONLINE3034
TIME1:11ONLINE3016
TIME1:12ONLINE3016
TIME1:12ONLINE3001
TIME1:13ONLINE3001
1627405994637:110767787:吃好吃满
1627406004743:110767787:后面buff会超级多
1627406010027:110767787:大概四排（
TIME1:13ONLINE2990
1627406022047:110767787:草
1627406022047:20976156:不愧是你
TIME1:14ONLINE2990
TIME1:14ONLINE2975
TIME1:15ONLINE2975
TIME1:15ONLINE2961
TIME1:15ONLINE2961
TIME1:16ONLINE2951
1627406195932:20976156:这枪有血缘那味
TIME1:16ONLINE2951
TIME1:17ONLINE2936
TIME1:17ONLINE2936
TIME1:18ONLINE2924
1627406316466:110767787:言语攻击比物理攻击高（
TIME1:18ONLINE2924
TIME1:19ONLINE2924
TIME1:19ONLINE2911
TIME1:20ONLINE2911
1627406428459:20976156:草www
TIME1:20ONLINE2898
1627406436640:110767787:草
TIME1:20ONLINE2898
1627406473890:20976156:为什么魔法需要燃料（
1627406480610:20976156:之类的
TIME1:21ONLINE2888
1627406505358:20976156:合着你就一气泵（
TIME1:21ONLINE2888
TIME1:22ONLINE2888
TIME1:22ONLINE2879
TIME1:23ONLINE2879
TIME1:23ONLINE2870
1627406612614:110767787:草哈哈哈哈哈哈哈哈
1627406614774:20976156:杂耍师
TIME1:23ONLINE2870
TIME1:24ONLINE2862
TIME1:24ONLINE2862
TIME1:25ONLINE2862
TIME1:25ONLINE2853
1627406743867:110767787:草哈哈哈哈哈哈
TIME1:26ONLINE2853
TIME1:26ONLINE2846
TIME1:27ONLINE2846
TIME1:27ONLINE2835
TIME1:28ONLINE2835
TIME1:28ONLINE2831
TIME1:29ONLINE2831
TIME1:29ONLINE2828
TIME1:30ONLINE2828
TIME1:30ONLINE2824
TIME1:31ONLINE2824
TIME1:31ONLINE2814
TIME1:32ONLINE2814
TIME1:32ONLINE2809
TIME1:33ONLINE2809
1627407196746:20976156:会发光的（
TIME1:33ONLINE2801
TIME1:34ONLINE2801
TIME1:34ONLINE2793
TIME1:35ONLINE2793
1627407321496:20976156:草
TIME1:35ONLINE2786
1627407333902:20976156:好怪o
TIME1:35ONLINE2786
TIME1:36ONLINE2786
TIME1:36ONLINE2781
TIME1:37ONLINE2781
TIME1:37ONLINE2776
TIME1:37ONLINE2776
TIME1:38ONLINE2776
TIME1:38ONLINE2771
TIME1:39ONLINE2771
1627407557648:312591779:早上吼
TIME1:39ONLINE2774
TIME1:40ONLINE2774
TIME1:40ONLINE2770
TIME1:41ONLINE2770
TIME1:41ONLINE2760
TIME1:42ONLINE2760
TIME1:42ONLINE2752
TIME1:42ONLINE2752
TIME1:43ONLINE2752
TIME1:43ONLINE2747
TIME1:44ONLINE2747
TIME1:44ONLINE2740
TIME1:44ONLINE2740
TIME1:45ONLINE2735
TIME1:45ONLINE2735
1627407988380:13204992:基建起来
TIME1:46ONLINE2730
1627407995313:13204992:你的剑，就是我的剑
1627408017697:13204992:可以的
TIME1:46ONLINE2730
1627408033877:13204992:剑来！
TIME1:47ONLINE2730
TIME1:47ONLINE2721
TIME1:48ONLINE2721
TIME1:48ONLINE2714
TIME1:48ONLINE2714
TIME1:49ONLINE2707
TIME1:49ONLINE2707
TIME1:50ONLINE2699
TIME1:50ONLINE2699
TIME1:51ONLINE2692
TIME1:51ONLINE2692
TIME1:52ONLINE2684
TIME1:53ONLINE2684
TIME1:53ONLINE2678
TIME1:54ONLINE2678
1627408448041:288774059:冒险，男人的浪漫
TIME1:54ONLINE2672
TIME1:55ONLINE2672
TIME1:55ONLINE2672
TIME1:55ONLINE2669
TIME1:56ONLINE2669
TIME1:56ONLINE2662
TIME1:57ONLINE2662
TIME1:57ONLINE2655
TIME1:58ONLINE2655
TIME1:58ONLINE2650
TIME1:59ONLINE2650
TIME1:59ONLINE2646
TIME2:0ONLINE2646
TIME2:0ONLINE2642
TIME2:1ONLINE2642
1627408889986:110767787:这里就有点像吟唱者（
TIME2:1ONLINE2639
1627408892664:110767787:草
1627408896696:110767787:跑跑跑
1627408905185:110767787:跑啊你
1627408920161:288774059:血条
TIME2:2ONLINE2639
1627408922987:110767787:打不过的（吧
TIME2:2ONLINE2640
TIME2:3ONLINE2640
1627408991728:110767787:草
1627409008189:288774059:哈哈哈看到了
TIME2:3ONLINE2637
TIME2:4ONLINE2637
TIME2:4ONLINE2637
1627409099567:110767787:好家伙哈哈哈哈哈哈哈哈
TIME2:5ONLINE2637
1627409108772:288774059:过于直白
TIME2:5ONLINE2640
1627409149884:110767787:草啊
TIME2:6ONLINE2640
TIME2:6ONLINE2640
TIME2:7ONLINE2640
TIME2:7ONLINE2641
1627409271479:288774059:请问这个游戏能调时间吗
TIME2:8ONLINE2641
TIME2:8ONLINE2642
TIME2:8ONLINE2641
TIME2:9ONLINE2642
TIME2:9ONLINE2646
TIME2:10ONLINE2646
1627409419690:14933189:哇，还在播。今天也在熬夜
TIME2:10ONLINE2644
1627409448470:96851639:诶嘿
1627409451243:7010737:还在玩哇
TIME2:10ONLINE2644
TIME2:11ONLINE2644
TIME2:11ONLINE2736
TIME2:12ONLINE2736
1627409532102:14933189:兔眠联的是谁啊，感觉好厉害
TIME2:12ONLINE2736
1627409557437:14933189:(｀·ω·´)
1627409565973:110767787:朔_Saku
1627409570106:110767787:来了来了
TIME2:13ONLINE2736
1627409584189:14933189:收到(￣3￣)
1627409601147:14933189:谢谢雀(｀·ω·´)
TIME2:13ONLINE2729
TIME2:13ONLINE2729
TIME2:14ONLINE2729
1627409666066:9100653:早上好
TIME2:14ONLINE2733
TIME2:15ONLINE2733
1627409713545:96851639:早上好*罒▽罒*
TIME2:15ONLINE2730
1627409729162:14933189:两个人一起玩得好温馨(๑‾ ꇴ ‾๑)
1627409743746:110767787:联动鸟六眼珠子了呜呜呜
TIME2:15ONLINE2730
1627409772024:110767787:好家伙
TIME2:16ONLINE2724
TIME2:16ONLINE2724
TIME2:17ONLINE2718
TIME2:17ONLINE2718
TIME2:18ONLINE2712
TIME2:18ONLINE2712
TIME2:19ONLINE2710
TIME2:19ONLINE2710
1627410016125:7010737:睡了呀，早点休息
TIME2:20ONLINE2714
TIME2:20ONLINE2714
TIME2:21ONLINE2706
TIME2:21ONLINE2706
TIME2:22ONLINE2706
TIME2:22ONLINE2698
TIME2:23ONLINE2698
TIME2:23ONLINE2689
TIME2:23ONLINE2689
TIME2:24ONLINE2680
TIME2:24ONLINE2680
TIME2:25ONLINE2680
TIME2:25ONLINE2672
1627410335006:1875520:我也好饿 呜呜
TIME2:26ONLINE2672
TIME2:26ONLINE2665
TIME2:26ONLINE2665
TIME2:27ONLINE2655
TIME2:27ONLINE2655
TIME2:28ONLINE2647
TIME2:28ONLINE2647
TIME2:29ONLINE2639
TIME2:29ONLINE2639
TIME2:30ONLINE2630
TIME2:30ONLINE2630
1627410664314:3722644:谢迎
TIME2:31ONLINE2625
TIME2:31ONLINE2625
1627410735264:3722644:zhou言
TIME2:32ONLINE2617
1627410750782:3722644:这个动态礼物哈哈哈太多了吧
TIME2:33ONLINE2617
TIME2:33ONLINE2610
TIME2:33ONLINE2610
1627410860382:1875520:hhh
TIME2:34ONLINE2605
1627410880294:3722644:什么游戏吗
TIME2:34ONLINE2605
TIME2:35ONLINE2601
1627410931672:3722644:最多多少人
TIME2:35ONLINE2601
TIME2:36ONLINE2598
TIME2:36ONLINE2598
TIME2:37ONLINE2594
TIME2:37ONLINE2594
TIME2:38ONLINE2590
TIME2:38ONLINE2590
TIME2:39ONLINE2587
TIME2:39ONLINE2587
TIME2:40ONLINE2588
TIME2:40ONLINE2588
TIME2:41ONLINE2587
TIME2:41ONLINE2587
TIME2:42ONLINE2585
TIME2:42ONLINE2585
TIME2:43ONLINE2583
TIME2:43ONLINE2583
TIME2:44ONLINE2581
TIME2:44ONLINE2581
TIME2:45ONLINE2579
TIME2:45ONLINE2579
TIME2:46ONLINE2575
1627411616894:387403583:兔兔晚上好——
TIME2:46ONLINE2575
TIME2:47ONLINE2575
TIME2:47ONLINE2575
TIME2:48ONLINE2571
TIME2:48ONLINE2571
TIME2:49ONLINE2570
TIME2:49ONLINE2570
TIME2:50ONLINE2572
TIME2:50ONLINE2572
TIME2:51ONLINE2582
TIME2:51ONLINE2582
TIME2:52ONLINE2584
TIME2:52ONLINE2584
TIME2:53ONLINE2583
TIME2:53ONLINE2583
TIME2:54ONLINE2579
1627412071835:110767787:萝卜gachi兔子人 晚安
1627412096975:110767787:明天出去玩今天早睡！
TIME2:54ONLINE2579
TIME2:55ONLINE2578
TIME2:55ONLINE2578
1627412158034:222254834:囤囤鼠失败
1627412185128:17672986:乐
TIME2:56ONLINE2576
TIME2:56ONLINE2576
TIME2:57ONLINE2589
TIME2:57ONLINE2589
TIME2:58ONLINE2588
TIME2:58ONLINE2588
TIME2:59ONLINE2589
TIME2:59ONLINE2589
TIME3:0ONLINE2590
TIME3:0ONLINE2590
TIME3:1ONLINE2590
TIME3:1ONLINE2590
TIME3:2ONLINE2592
TIME3:2ONLINE2592
TIME3:3ONLINE2590
TIME3:3ONLINE2590
1627412660523:1875520:帮铺床贴贴
TIME3:4ONLINE2593
TIME3:4ONLINE2593
TIME3:5ONLINE2592
1627412757780:8436119:兔总晚安！
TIME3:5ONLINE2592
TIME3:6ONLINE2594
TIME3:6ONLINE2594
TIME3:7ONLINE2590
1627412860081:1875520:亚克席还行
TIME3:7ONLINE2590
TIME3:8ONLINE2586
TIME3:8ONLINE2586
TIME3:9ONLINE2582
TIME3:9ONLINE2582
TIME3:10ONLINE2581
TIME3:10ONLINE2581
TIME3:11ONLINE2577
TIME3:11ONLINE2577
TIME3:12ONLINE2576
TIME3:13ONLINE2576
TIME3:13ONLINE2574
TIME3:13ONLINE2574
TIME3:14ONLINE2570
TIME3:14ONLINE2570
TIME3:15ONLINE2564
TIME3:15ONLINE2564
TIME3:16ONLINE2559
TIME3:16ONLINE2559
TIME3:17ONLINE2558
TIME3:17ONLINE2558
TIME3:18ONLINE2557
TIME3:18ONLINE2557
TIME3:19ONLINE2555
TIME3:19ONLINE2555
TIME3:20ONLINE2548
TIME3:20ONLINE2548
TIME3:21ONLINE2541
TIME3:21ONLINE2541
TIME3:22ONLINE2535
TIME3:22ONLINE2535
TIME3:23ONLINE2531
TIME3:23ONLINE2531
TIME3:24ONLINE2529
TIME3:24ONLINE2529
TIME3:25ONLINE2526
TIME3:25ONLINE2526
TIME3:26ONLINE2523
TIME3:26ONLINE2523
TIME3:27ONLINE2521
TIME3:27ONLINE2521
TIME3:28ONLINE2518
TIME3:29ONLINE2518
TIME3:29ONLINE2516
TIME3:30ONLINE2516
TIME3:30ONLINE2514
TIME3:31ONLINE2514
TIME3:31ONLINE2511
TIME3:32ONLINE2511
TIME3:32ONLINE2511
TIME3:33ONLINE2511
TIME3:33ONLINE2512
1627414435399:1875520:首页多一点东西很好 我看到空的就
TIME3:34ONLINE2512
1627414440953:1875520:默默离开力
TIME3:34ONLINE2513
TIME3:35ONLINE2513
TIME3:35ONLINE2512
TIME3:36ONLINE2512
TIME3:36ONLINE2510
TIME3:37ONLINE2510
TIME3:37ONLINE2507
TIME3:38ONLINE2507
TIME3:38ONLINE2505
TIME3:39ONLINE2505
TIME3:39ONLINE2506
TIME3:40ONLINE2506
TIME3:40ONLINE2505
TIME3:41ONLINE2505
TIME3:41ONLINE2506
TIME3:42ONLINE2506
TIME3:42ONLINE2503
TIME3:43ONLINE2503
TIME3:43ONLINE2502
TIME3:44ONLINE2502
TIME3:44ONLINE2502
TIME3:45ONLINE2502
TIME3:45ONLINE2502
TIME3:46ONLINE2502
TIME3:46ONLINE2500
TIME3:47ONLINE2500
TIME3:47ONLINE2500
TIME3:48ONLINE2500
TIME3:48ONLINE2501
TIME3:49ONLINE2501
TIME3:49ONLINE2499
1627415392495:1875520:还以为有个痞老板在头上 xs
TIME3:50ONLINE2499
TIME3:50ONLINE2497
TIME3:51ONLINE2497
TIME3:51ONLINE2494
TIME3:52ONLINE2494
TIME3:52ONLINE2492
TIME3:53ONLINE2492
TIME3:53ONLINE2490
TIME3:54ONLINE2490
TIME3:54ONLINE2490
TIME3:55ONLINE2490
TIME3:55ONLINE2488
TIME3:56ONLINE2488
TIME3:56ONLINE2490
TIME3:57ONLINE2490
TIME3:57ONLINE2491
TIME3:58ONLINE2491
TIME3:58ONLINE2490
TIME3:59ONLINE2490
TIME3:59ONLINE2493
TIME4:0ONLINE2493
TIME4:0ONLINE2496
1627416044625:1875520:好的
1627416053039:1875520:晚安捏 早点休息！
1627416055110:1536593:拜拜
1627416058577:1536593:晚安
TIME4:1ONLINE2496
TIME4:1ONLINE2491
TIME4:2ONLINE2491
TIME4:2ONLINE2488
TIME4:3ONLINE2488
TIME4:3ONLINE2486
TIME4:4ONLINE2486
TIME4:4ONLINE2484
TIME4:5ONLINE2484
1627416309390:1875520:hhhh
TIME4:5ONLINE2482
TIME4:6ONLINE2482
TIME4:6ONLINE2484
1627416421469:1875520:一年来三次海澜之家
TIME4:7ONLINE2484
1627416436441:1875520:打个响指 开始跳舞
TIME4:7ONLINE2481
TIME4:8ONLINE2481
TIME4:8ONLINE2481
TIME4:9ONLINE2481
1627416556965:1875520:狐狸人吃零食 好馋
1627416561415:1875520:吧唧吧唧
TIME4:9ONLINE2483
TIME4:10ONLINE2483
TIME4:10ONLINE2484
TIME4:11ONLINE2484
TIME4:11ONLINE2480
TIME4:12ONLINE2480
TIME4:12ONLINE2479
TIME4:13ONLINE2479
TIME4:13ONLINE2481
1627416819249:1875520:好耶
TIME4:14ONLINE2481
1627416846053:1875520:最近就永劫无间+和狐狸玩这个吗
1627416862811:1875520:要不要穿插点别的短内容捏
TIME4:14ONLINE2481
1627416886787:1875520:好的！很有计划！很好
TIME4:15ONLINE2481
TIME4:15ONLINE2481
1627416947161:1536593:我可以当打工人
1627416950399:1875520:一人两狗的异世界生活
TIME4:16ONLINE2481
TIME4:16ONLINE2481
TIME4:17ONLINE2481
TIME4:17ONLINE2482
TIME4:18ONLINE2482
TIME4:18ONLINE2486
TIME4:19ONLINE2486
TIME4:19ONLINE2489
TIME4:20ONLINE2489
TIME4:20ONLINE2489
TIME4:21ONLINE2489
TIME4:21ONLINE2458
1627417297784:1875520:晚安！！
TIME4:22ONLINE2458
TIME21:0ONLINE968
TIME21:1ONLINE968
TIME21:1ONLINE1135
1627477323260:28455361:好耶！
1627477328264:224664194:一点点试
TIME21:2ONLINE1135
1627477353808:224664194:呃呜这个看起来就难
1627477366819:224664194:草
1627477370184:224664194:不愧是你
TIME21:2ONLINE1301
1627477379894:28455361:哈哈哈哈哈哈哈按节奏按
TIME21:3ONLINE1301
1627477411466:28455361:这个太诡异了这个调
1627477418070:7971567:好诶
1627477433770:387403583:兔兔晚上好——
TIME21:3ONLINE1470
1627477444495:7971567:hhhhhhh
1627477447487:527042042:hhhhhhh
1627477453074:28455361:哈哈哈哈哈哈哈哈
TIME21:4ONLINE1470
1627477475527:7971567:嗯嗯我下载了 试玩了一会儿
1627477488536:7971567:然后我卡教学了 乐
TIME21:4ONLINE1639
1627477496023:224664194:感谢砂糖妈咪的礼物——
1627477504126:7971567:草hhhhhh
1627477509139:28455361:草
1627477514557:7971567:名字好像就是quan犬
1627477518208:527042042:草
TIME21:5ONLINE1639
1627477536718:224664194:今天也要联动吗
1627477536718:7614937:啊这个游戏我也买了
1627477538572:7971567:(°∀°)ﾉ乐
TIME21:5ONLINE1639
1627477556210:7971567:可以！
TIME21:5ONLINE1813
1627477572148:7971567:拽狐狸尾巴
1627477575267:7971567:hhhhh
1627477580538:28455361:耳朵炸裂了
1627477584849:7971567:直接惊醒
TIME21:6ONLINE1813
1627477618195:110767787:晚儿好
TIME21:6ONLINE1979
1627477622676:1875520:来力
1627477633726:110767787:要联动嘛今天
1627477643042:527042042:打着打着人没了哈哈哈哈
TIME21:7ONLINE1979
1627477658774:527042042:绝对防御
1627477665995:1875520:这是单排还是联动
TIME21:7ONLINE2146
1627477701339:7971567:我们几点开始比较好？
TIME21:8ONLINE2146
TIME21:8ONLINE2146
TIME21:8ONLINE2312
TIME21:9ONLINE2312
1627477791295:1875520:不打响指了吗
TIME21:9ONLINE2480
1627477817369:7614937:今晚也outward吗
TIME21:10ONLINE2480
1627477833923:1875520:啊 应该在大乱斗的时候开的
TIME21:10ONLINE3861
1627477881583:7614937:那啥时候跑团捏
TIME21:11ONLINE3861
1627477888214:1875520:今天我生日！快祝我生日快乐
1627477906143:110767787:生日快乐！！！
1627477906143:7614937:生日快乐噢
1627477912328:110767787:乐！
1627477914823:1875520:22了 又老一岁！
1627477914823:527042042:生日快乐！
TIME21:11ONLINE3863
1627477928252:1875520:谢谢谢谢 隆重了隆重了
1627477930150:110767787:可以的！
1627477934113:7614937:我觉得还行
TIME21:12ONLINE3863
1627477948019:1875520:那个加个背景就可以当开场动画了
1627477953371:1875520:整挺好的
1627477964530:7614937:你声音怎么变了
1627477964531:7971567:兔兔康康消息
TIME21:12ONLINE3843
1627477975927:7614937:突然换了麦一样
1627477996673:110767787:！好诶！
TIME21:13ONLINE3843
TIME21:13ONLINE3830
1627478051630:1875520:不懂电脑的兔当老师了ww
TIME21:14ONLINE3830
TIME21:14ONLINE3830
TIME21:14ONLINE3815
1627478106339:7614937:我游戏还没下完（
TIME21:15ONLINE3815
1627478147313:110767787:空气也要一起玩嘛（
TIME21:15ONLINE3792
TIME21:16ONLINE3792
1627478189125:7614937:草前天不还说带我吗，结果昨天我看一直在玩永劫无间就去睡了（
TIME21:16ONLINE3771
1627478216967:20976156:啥情况
1627478237865:7614937:早知道我昨天下载好了
TIME21:17ONLINE3771
TIME21:17ONLINE3750
TIME21:18ONLINE3750
1627478308008:358603290:晚上好
TIME21:18ONLINE3729
1627478347967:224664194:白泽晚上好欸！
TIME21:19ONLINE3729
1627478371293:358603290:好耶
1627478385524:224664194:业余直播永劫无间（
1627478391598:224664194:什么 我看看
TIME21:19ONLINE3715
1627478402003:1875520:我以为你要导骨川小夫
1627478415272:224664194:草
1627478421326:224664194:小夫 哒咩
TIME21:20ONLINE3715
1627478450992:224664194:？？？
TIME21:20ONLINE3715
TIME21:20ONLINE3693
1627478471057:1875520:说实话 我觉得小夫比皮卡丘阳间
1627478471057:224664194:丐帮帮主吗
1627478476781:1875520:至少是人类
1627478481868:1875520:这是艾斯吗
1627478487253:224664194:草
1627478489847:358603290:哈哈哈哈哈哈丐帮帮主
1627478491175:1875520:还真是 挺像的
1627478491175:110767787:那个伽南那个更离谱（
TIME21:21ONLINE3693
1627478506529:1875520:可以可以 蛮帅的
TIME21:21ONLINE3677
1627478532753:1875520:换一下配件啥的还能更像
TIME21:22ONLINE3677
1627478558557:1875520:还有发型之类
1627478569830:1875520:不错不错 阳间捏脸好
TIME21:22ONLINE3662
1627478581685:7971567:哪个频道呀
TIME21:23ONLINE3662
TIME21:23ONLINE3638
TIME21:24ONLINE3638
TIME21:24ONLINE3619
1627478713063:110767787:草
1627478721717:1875520:草啊 我还想了半天是哪个索隆
TIME21:25ONLINE3619
1627478749574:1875520:远看还可以
TIME21:25ONLINE3596
1627478773235:1875520:还不错了 人中可能有点长
TIME21:26ONLINE3596
TIME21:26ONLINE3575
TIME21:27ONLINE3575
1627478858654:110767787:呃呜
1627478872337:1875520:犬开了直播吗 要不要去看一下电脑界面
TIME21:27ONLINE3575
TIME21:27ONLINE3549
1627478905562:1875520:昨天很悲
1627478905562:110767787:好家伙
TIME21:28ONLINE3549
1627478917278:1875520:之后会好的！
1627478926170:1875520:掉粉 悲
TIME21:28ONLINE3540
1627478952219:1875520:掉分！
1627478955474:110767787:喝水水（
1627478957665:1875520:不好意思打错了
TIME21:29ONLINE3540
1627478985591:527042042:hhhhh
TIME21:29ONLINE3520
1627479020315:1875520:打游戏反省打法真的很容易生气hhh
TIME21:30ONLINE3520
TIME21:30ONLINE3497
TIME21:31ONLINE3497
TIME21:31ONLINE3497
TIME21:31ONLINE3475
TIME21:32ONLINE3475
TIME21:32ONLINE3457
1627479204533:527042042:简称随缘
TIME21:33ONLINE3457
TIME21:33ONLINE3444
1627479239032:110767787:好家伙各种炫（误
1627479263630:1875520:对 不知道是啥
TIME21:34ONLINE3444
1627479282078:1875520:我觉得新版好麻烦
TIME21:34ONLINE3444
TIME21:35ONLINE3425
1627479314687:1875520:懂了！解答了很久以来的疑惑
1627479328018:527042042:感觉新版是负优化
TIME21:35ONLINE3425
1627479333383:110767787:你直播间装修呢（
1627479352117:110767787:草
TIME21:35ONLINE3406
1627479375042:527042042:草
TIME21:36ONLINE3406
TIME21:36ONLINE3389
1627479425454:527042042:奇怪的设定增加了
TIME21:37ONLINE3389
1627479472524:1875520:笑死
TIME21:37ONLINE3389
1627479477775:700222558:草
TIME21:38ONLINE3370
1627479491432:110767787:草啊
TIME21:38ONLINE3370
1627479518036:358603290:而且江南人不吃辣，吃什么？
1627479519469:527042042:可以让老板辣椒分装
1627479525670:1875520:哈哈哈哈哈哈哈哈哈
TIME21:38ONLINE3351
1627479549961:1875520:江南的好浓郁啊
1627479551243:110767787:甜口好诶
TIME21:39ONLINE3351
1627479573947:224664194:笑死了
1627479573949:1875520:还加糖 但是味道还可以
1627479576877:1611100:?
1627479576877:358603290:可能是因为我湖南人吧
1627479580207:110767787:草
1627479587844:358603290:好爱吃辣
TIME21:39ONLINE3337
1627479604753:1875520:不过其他人眼里我们湖南也都是辣椒和酱油
1627479604753:224664194:流口水了
1627479606759:110767787:草啊
1627479624327:224664194:什么东西
TIME21:40ONLINE3337
1627479631793:110767787:鸟之前上海的就吃点胡椒都达咩的草
1627479644102:224664194:雀跟我混
1627479649206:358603290:干辣椒是香的呀！
1627479650284:110767787:没有中超是我叻（
1627479652488:224664194:带你习惯辣椒
TIME21:40ONLINE3340
1627479673801:110767787:呃呜
1627479679554:1875520:但是湖南人很多口味也没那么重 我都是微辣
1627479682910:110767787:鸟 辣 达咩（
TIME21:41ONLINE3340
1627479689351:224664194:不香吗
1627479691286:1875520:朝天椒好辣好辣
1627479695069:224664194:TT泪目了
1627479697326:110767787:草啊
1627479706804:1875520:香 但是好辣好辣
TIME21:41ONLINE3340
1627479717348:527042042:朝天椒爽得一批
TIME21:42ONLINE3325
1627479732377:110767787:黄油可恶
1627479750356:110767787:救命我 我羡慕了草
TIME21:42ONLINE3325
1627479759344:110767787:好家伙
1627479771902:1875520:咦 这是哪里
TIME21:42ONLINE3314
1627479786854:1875520:肉和糖就是好开心啊
TIME21:43ONLINE3314
TIME21:43ONLINE3314
TIME21:44ONLINE3300
1627479850156:1875520:是牛排原o教o旨主义www
TIME21:44ONLINE3300
1627479900071:224664194:pico park吗
TIME21:45ONLINE3282
1627479918098:1875520:兔好好TT
1627479924904:110767787:不是八月八吗（
TIME21:45ONLINE3282
1627479944018:110767787:搜噶
TIME21:45ONLINE3273
TIME21:46ONLINE3273
1627480006522:1875520:挑人的一个游戏
TIME21:46ONLINE3273
1627480019781:1875520:电波对不上就效果没那么好 感觉
TIME21:47ONLINE3259
1627480049490:224664194:欲 火 焚 身
TIME21:47ONLINE3259
1627480056089:1875520:冬日计划感觉好一咪咪 不过也都差不多了
1627480061609:224664194:引火烧身
TIME21:48ONLINE3259
TIME21:48ONLINE3256
1627480093531:224664194:好家伙
TIME21:48ONLINE3256
TIME21:48ONLINE3259
TIME21:49ONLINE3259
1627480189938:224664194:呃呜
TIME21:49ONLINE3240
TIME21:50ONLINE3240
TIME21:50ONLINE3240
TIME21:51ONLINE3224
TIME21:51ONLINE3224
1627480310551:224664194:牛牛
TIME21:51ONLINE3211
1627480323512:224664194:哈哈哈哈哈哈哈哈哈哈哈哈哈哈
1627480338123:224664194:草啊
TIME21:52ONLINE3211
TIME21:52ONLINE3211
TIME21:53ONLINE3197
TIME21:53ONLINE3197
TIME21:53ONLINE3187
TIME21:54ONLINE3187
TIME21:54ONLINE3187
TIME21:55ONLINE3176
TIME21:55ONLINE3176
1627480555172:1875520:狗叫感谢
1627480555172:224664194:草
TIME21:55ONLINE3164
1627480564580:224664194:plz多一点
1627480584500:224664194:记得喝水（
TIME21:56ONLINE3164
1627480603409:224664194:辣的牛肉面呃呜呜呜
1627480607640:224664194:我也想吃
TIME21:57ONLINE3160
1627480622383:224664194:我已经一周水果捞了
1627480653924:1875520:半夜吃棒冰还不胖 很强
TIME21:57ONLINE3160
1627480668628:1875520:欢迎加入兔子洞！
1627480671351:358603290:突然也想吃炸鸡了
1627480673033:224664194:我觉得他是吃不胖体质
TIME21:58ONLINE3244
1627480680524:224664194:我羡慕
1627480683923:110767787:会肚子痛就是了（
1627480690192:1875520:他必须是 增重都难
TIME21:58ONLINE3244
1627480715332:224664194:别说了！
1627480722478:1875520:男性这样的挺多的 体脂率本来就比较低 慕
1627480729429:224664194:可恶我落泪了
TIME21:58ONLINE3228
1627480738193:1875520:(´；ω；`)
1627480742043:224664194:我决定去当狐狸的gachi
1627480755829:224664194:摸摸朵朵子
1627480758934:358603290:和兔子说话好亚撒西噢
1627480764774:1875520:兔子直播回渴望！
TIME21:59ONLINE3228
1627480779603:224664194:让朵朵直播叭！！！
1627480780864:1875520:想看兔兔们的直播
1627480792865:224664194:咕咕也好
TIME21:59ONLINE3205
1627480799814:224664194:来个吃播
1627480801551:1875520:拍兔子们的那种
1627480812121:1875520:长视频也可以！
1627480815083:224664194:好耶！！！！
1627480817440:1875520:好耶
TIME22:0ONLINE3205
1627480853524:110767787:兔片好诶！
TIME22:0ONLINE3205
1627480856884:224664194:好耶！！
TIME22:1ONLINE3222
1627480862028:224664194:搞个vlog
1627480869138:224664194:已经开始期待的
1627480876034:224664194:哦对软软怎么样
1627480889750:1875520:vlog可能有点难为笨比兔兔 笑死
TIME22:1ONLINE3222
1627480899656:1875520:（也很想看的人
1627480901429:224664194:呃呜辛苦软软了
1627480909939:224664194:坚持一下
1627480909939:1875520:之后应该会好的！
1627480915528:1875520:加油软软
TIME22:1ONLINE3207
1627480919579:224664194:记得城堡（
1627480942813:224664194:好诶！！！！
TIME22:2ONLINE3207
1627480965209:224664194:拍拍咕咕和软软
TIME22:2ONLINE3195
TIME22:3ONLINE3195
TIME22:3ONLINE3189
TIME22:4ONLINE3189
TIME22:4ONLINE3189
1627481104916:1875520:夹缩文件
TIME22:5ONLINE3181
TIME22:5ONLINE3181
TIME22:6ONLINE3181
TIME22:6ONLINE3181
TIME22:6ONLINE3168
TIME22:7ONLINE3168
TIME22:7ONLINE3159
TIME22:8ONLINE3159
TIME22:8ONLINE3140
TIME22:9ONLINE3140
TIME22:9ONLINE3124
1627481417272:224664194:感谢超级无敌性感logos老板的礼物——
TIME22:10ONLINE3124
1627481429297:445043154:？怀玉就离谱
1627481436008:224664194:哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈
1627481452651:224664194:老板你不喜欢吗！！！
TIME22:11ONLINE3113
TIME22:11ONLINE3113
TIME22:12ONLINE3098
TIME22:12ONLINE3098
TIME22:13ONLINE3086
1627481605932:1875520:这种可能需要用东西挡住
TIME22:13ONLINE3086
TIME22:14ONLINE3086
TIME22:14ONLINE3070
TIME22:14ONLINE3070
TIME22:14ONLINE3057
TIME22:15ONLINE3057
TIME22:15ONLINE3046
TIME22:16ONLINE3046
TIME22:16ONLINE3038
TIME22:17ONLINE3038
1627481847919:224664194:好诶开始了！！！
TIME22:17ONLINE3035
1627481900539:7614937:失策了，我的还要下一个小时
TIME22:18ONLINE3035
TIME22:18ONLINE3028
TIME22:19ONLINE3028
TIME22:19ONLINE3028
TIME22:20ONLINE3015
TIME22:20ONLINE3015
1627482035518:224664194:这个机器人口音
TIME22:20ONLINE3004
TIME22:21ONLINE3004
1627482113037:110767787:狗狗那边巨卡（
TIME22:21ONLINE3004
TIME22:22ONLINE2989
TIME22:22ONLINE2989
1627482176544:391507610:哟西
TIME22:22ONLINE2986
1627482190577:224664194:哟西
TIME22:23ONLINE2986
1627482208385:391507610:哟西哟西
TIME22:23ONLINE2982
TIME22:24ONLINE2982
TIME22:24ONLINE2970
TIME22:25ONLINE2970
TIME22:25ONLINE2961
TIME22:26ONLINE2961
1627482402269:110767787:牙白子捏
TIME22:26ONLINE2947
TIME22:27ONLINE2947
1627482466347:1875520:应该大部分都是
1627482475828:1875520:所以需要调整界面字体之类
TIME22:27ONLINE2937
TIME22:28ONLINE2937
TIME22:28ONLINE2928
TIME22:29ONLINE2928
TIME22:29ONLINE2927
TIME22:30ONLINE2927
TIME22:30ONLINE2926
TIME22:31ONLINE2926
TIME22:31ONLINE2921
TIME22:32ONLINE2921
TIME22:32ONLINE2922
TIME22:33ONLINE2922
TIME22:33ONLINE2922
TIME22:34ONLINE2925
TIME22:34ONLINE2925
TIME22:34ONLINE2913
TIME22:35ONLINE2913
TIME22:35ONLINE2904
TIME22:36ONLINE2904
TIME22:36ONLINE2896
TIME22:37ONLINE2896
1627483049119:110767787:呃呜
TIME22:37ONLINE2894
TIME22:38ONLINE2894
TIME22:38ONLINE2896
TIME22:39ONLINE2896
TIME22:39ONLINE2896
TIME22:40ONLINE2887
TIME22:40ONLINE2887
TIME22:40ONLINE2881
TIME22:41ONLINE2881
TIME22:41ONLINE2871
TIME22:42ONLINE2871
TIME22:42ONLINE2856
TIME22:43ONLINE2856
TIME22:43ONLINE2845
TIME22:44ONLINE2845
TIME22:44ONLINE2834
TIME22:45ONLINE2834
TIME22:45ONLINE2821
TIME22:46ONLINE2821
TIME22:46ONLINE2814
1627483630969:224664194:呃呜还不行吗
TIME22:47ONLINE2814
TIME22:47ONLINE2804
TIME22:48ONLINE2804
TIME22:48ONLINE2796
TIME22:49ONLINE2796
TIME22:49ONLINE2785
TIME22:50ONLINE2785
TIME22:50ONLINE2778
TIME22:51ONLINE2778
TIME22:52ONLINE2772
TIME22:52ONLINE2778
TIME22:52ONLINE2772
TIME22:52ONLINE2765
TIME22:53ONLINE2765
TIME22:53ONLINE2758
TIME22:54ONLINE2758
TIME22:54ONLINE2756
TIME22:55ONLINE2756
TIME22:55ONLINE2754
TIME22:56ONLINE2754
TIME22:56ONLINE2751
TIME22:57ONLINE2751
TIME22:57ONLINE2751
TIME22:57ONLINE2745
TIME22:58ONLINE2745
TIME22:58ONLINE2744
TIME22:59ONLINE2744
TIME22:59ONLINE2737
TIME23:0ONLINE2737
1627484437546:20976156:awa
1627484440252:20976156:还不行啊
TIME23:0ONLINE2737
TIME23:0ONLINE2733
TIME23:1ONLINE2733
TIME23:1ONLINE2729
TIME23:2ONLINE2729
TIME23:2ONLINE2723
TIME23:3ONLINE2723
TIME23:3ONLINE2719
1627484636977:20976156:u1s1外星人电脑做的一般就是名气大一点
TIME23:4ONLINE2719
1627484666080:20976156:草
TIME23:4ONLINE2719
TIME23:4ONLINE2716
TIME23:5ONLINE2716
TIME23:5ONLINE2709
TIME23:6ONLINE2709
TIME23:6ONLINE2702
TIME23:7ONLINE2702
TIME23:7ONLINE2702
TIME23:8ONLINE2702
TIME23:8ONLINE2698
TIME23:9ONLINE2698
TIME23:9ONLINE2696
TIME23:10ONLINE2696
TIME23:10ONLINE2693
TIME23:11ONLINE2693
TIME23:11ONLINE2691
TIME23:12ONLINE2691
TIME23:12ONLINE2685
TIME23:13ONLINE2685
TIME23:13ONLINE2679
TIME23:14ONLINE2679
1627485263072:20976156:好了吗
1627485266135:20976156:好了哈
1627485268704:20976156:那就好
TIME23:14ONLINE2671
TIME23:15ONLINE2671
1627485347032:1875520:严谨
TIME23:15ONLINE2671
TIME23:15ONLINE2663
1627485353978:1875520:可是你角色是女的
TIME23:16ONLINE2663
TIME23:16ONLINE2658
TIME23:17ONLINE2658
TIME23:17ONLINE2658
TIME23:17ONLINE2654
TIME23:18ONLINE2654
TIME23:18ONLINE2650
TIME23:19ONLINE2650
TIME23:19ONLINE2643
TIME23:20ONLINE2643
TIME23:20ONLINE2643
TIME23:20ONLINE2638
TIME23:21ONLINE2638
TIME23:21ONLINE2633
TIME23:22ONLINE2633
TIME23:22ONLINE2628
TIME23:23ONLINE2628
TIME23:23ONLINE2624
TIME23:24ONLINE2624
TIME23:24ONLINE2620
TIME23:25ONLINE2620
TIME23:25ONLINE2620
TIME23:25ONLINE2621
TIME23:26ONLINE2621
TIME23:26ONLINE2623
TIME23:27ONLINE2623
TIME23:27ONLINE2619
TIME23:28ONLINE2619
TIME23:28ONLINE2618
TIME23:29ONLINE2618
TIME23:29ONLINE2612
TIME23:30ONLINE2612
TIME23:30ONLINE2608
TIME23:30ONLINE2612
TIME23:31ONLINE2608
TIME23:31ONLINE2608
TIME23:31ONLINE2604
TIME23:32ONLINE2604
TIME23:32ONLINE2603
TIME23:33ONLINE2603
TIME23:33ONLINE2602
TIME23:34ONLINE2602
TIME23:34ONLINE2597
TIME23:35ONLINE2597
TIME23:35ONLINE2592
TIME23:36ONLINE2592
TIME23:36ONLINE2589
TIME23:37ONLINE2589
TIME23:37ONLINE2587
TIME23:38ONLINE2587
TIME23:38ONLINE2582
TIME23:39ONLINE2582
TIME23:39ONLINE2579
1627486807036:224664194:好诶
TIME23:40ONLINE2579
TIME23:40ONLINE2579
TIME23:40ONLINE2581
TIME23:41ONLINE2581
TIME23:41ONLINE2582
TIME23:42ONLINE2582
TIME23:42ONLINE2584
1627486970403:224664194:什么 可以钓鱼
1627486973913:224664194:钓鱼好
TIME23:43ONLINE2584
TIME23:43ONLINE2578
TIME23:44ONLINE2578
1627487062985:224664194:什么意思哇
1627487085692:224664194:呃呜
TIME23:44ONLINE2574
1627487105253:20976156:qs
1627487111656:224664194:代入感很强 会生气的（
1627487119269:1875520:确实
TIME23:45ONLINE2574
1627487134363:1875520:兔兔爱吃萝卜捏
TIME23:45ONLINE2572
TIME23:46ONLINE2572
TIME23:46ONLINE2569
TIME23:47ONLINE2569
1627487248405:20976156:就是联起来超麻烦
TIME23:47ONLINE2568
TIME23:48ONLINE2568
1627487297232:20976156:我之前看到个游戏
1627487317661:20976156:潜渊症
TIME23:48ONLINE2566
1627487331888:20976156:Barotrauma
1627487339791:20976156:题材我超爱的
1627487358306:20976156:明天我和盆友们试试水
TIME23:49ONLINE2566
1627487389450:20976156:潜渊症
TIME23:49ONLINE2566
1627487400469:20976156:潜啊
TIME23:50ONLINE2566
1627487422595:20976156:兔识字吗（
1627487449724:20976156:草ww
TIME23:50ONLINE2566
1627487455214:224664194:欢迎来到直播间！
TIME23:51ONLINE2566
TIME23:51ONLINE2567
TIME23:52ONLINE2567
1627487562749:224664194:狐狸仁晕了
TIME23:52ONLINE2566
TIME23:53ONLINE2566
TIME23:53ONLINE2566
TIME23:54ONLINE2566
1627487678930:224664194:呃呜呃呜好丑
TIME23:54ONLINE2564
TIME23:55ONLINE2564
TIME23:55ONLINE2559
TIME23:56ONLINE2559
1627487801148:224664194:确实
TIME23:56ONLINE2553
1627487808202:224664194:？？
1627487816166:1875520:格林童话就很黑暗
1627487830018:224664194:格林童话极其恐怖呃呜
1627487837813:385243:晚上好~
TIME23:57ONLINE2553
TIME23:57ONLINE2550
1627487873461:224664194:欢迎来到直播间哇w
TIME23:58ONLINE2550
1627487916000:224664194:你记得喝水了吗（小声
TIME23:58ONLINE2548
1627487940601:224664194:三人群殴
TIME23:59ONLINE2548
TIME23:59ONLINE2555
SPEAKERNUM30;385243:Runes润斯哟:1,1536593:茉斯菲伦MausFeron:3,1611100:Prom1ssed:1,1875520:咖啡巧克力派:97,3722644:所以说要叫我呪言蓮華:5,7010737:杯杯杯杯BANG:2,7614937:空気Ku-ki:11,7971567:主力犬Juriken:14,8436119:虚弑不是鸽子精:1,9100653:百叹樱_saku:1,13204992:有毒酱一百八十天:4,14933189:菠萝真气:6,17672986:螺旋剑碎片:2,20976156:夜徊Yoru-0:47,28455361:balaABababala:6,44026910:十六夜优奈:1,50979055:若玲yaki:1,96851639:vanvan눈_눈:2,110767787:雀姥姥:80,222254834:围观人士渡某:1,224664194:懷玉:80,288774059:是一只果冻耶:5,312591779:迟愉:1,358603290:今天什么时候睡:11,382068353:这一秒也很困:3,387403583:烟烟兎:2,391507610:爆破马桶盖:2,445043154:逻各斯_logos:1,527042042:葛叶是个屑小孩w:12,700222558:热心观众然某:1
V2
|
1bed362507c2f27962d799cc26d8c6b0f7f2cb29
|
2023-03-17T10:32:16.565750
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8907549533, "avg_line_length": 23.0503330866, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "23103930/2021-7-28.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "23103930/2021-7-28.txt", "max_line_length": 588, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "23103930/2021-7-28.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 31141}
| 2022-12-01T00:00:00 |
text
| 22 |
1626199308074:353919168:(=ω=)
1626199380404:353919168:(⌒▽⌒)
1626201744996:12097450:(｀·ω·´)
1626213919307:2118620:(=・ω・=)
1626222779032:2022429:(〜￣△￣)〜
1626224015580:7120625:(^・ω・^ )
1626226060130:135163:(｀・ω・´)
1626226094724:135163:(｀・ω・´)
1626237423788:7507380:_(:3」∠)_
1626237568625:7507380:_(:3」∠)_
1626239497368:2255243:(=・ω・=)
1626239686282:2255243:(=・ω・=)
1626248564352:5596522:( ﾟ∀。)打卡
1626248821872:5596522:( ﾟ∀。)打卡
1626261690808:14095248:(=・ω・=)
1626268177107:3398870:a
1626273710668:179162519:(=・ω・=)
1626275939653:27550301:(=・ω・=)
1626276187820:20832060:.
SPEAKERNUM14;135163:炎の烈风:2,2022429:桜ねね:1,2118620:蓝白纹胖次:1,2255243:绫地栞那丶:2,3398870:蓬莱山辉夜:1,5596522:4十九:2,7120625:时雨樱忆:1,7507380:咕漉漉rua:2,12097450:Matchaラテ:1,14095248:夜雨灬Kuso:1,20832060:不认识这几个字:1,27550301:阿卡琳娅:1,179162519:永远单推渣女C:1,353919168:Jupper:2
V2
|
963fe74cf04eefaaf9245e58e6810a0c1115fb1b
|
2023-03-17T17:15:57.978250
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7567237164, "avg_line_length": 37.1818181818, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "22870039/2021-7-14.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "22870039/2021-7-14.txt", "max_line_length": 247, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "22870039/2021-7-14.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 818}
| 2022-12-01T00:00:00 |
text
| 23 |
1612526808952:23598218:1
SPEAKERNUM1;23598218:归墟_丶:1
V2
|
ccf085893ff88ba97becd57d2b3e89a4e11a3ef6
|
2023-03-17T10:44:28.921936
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8571428571, "avg_line_length": 14, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "22590127/2021-2-5.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "22590127/2021-2-5.txt", "max_line_length": 27, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "22590127/2021-2-5.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 56}
| 2022-12-01T00:00:00 |
text
| 24 |
1620405629970:4053335:(･∀･)
1620406790633:2332084:(●￣(ｴ)￣●)
1620440321457:24288594:（￣▽￣）
1620447759081:31310270:(=・ω・=)
1620467145968:3675408:( ´_ゝ｀)
1620477925793:20832060:.
SPEAKERNUM6;2332084:翼瑪当先:1,3675408:北川月夜:1,4053335:吾王メ夏娜:1,20832060:不认识这几个字:1,24288594:陌丶森:1,31310270:高坂已婚:1
V2
|
50b96a1056e345bd0bc67502fe8ec83a52e2ecd2
|
2023-03-17T10:45:51.983657
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7622377622, "avg_line_length": 31.7777777778, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "22313051/2021-5-8.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "22313051/2021-5-8.txt", "max_line_length": 107, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "22313051/2021-5-8.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 286}
| 2022-12-01T00:00:00 |
text
| 25 |
~07022~^~207~^~S8522~
~07022~^~853~^~S8522~
~07022~^~203~^~S8522~
~07022~^~204~^~S8522~
~07022~^~212~^~S8522~
~07022~^~214~^~S8522~
~33879~^~613~^~S8164~
~33879~^~670~^~S8164~
~33879~^~672~^~S8164~
~33879~^~609~^~S8164~
~07022~^~343~^~S8522~
~07022~^~410~^~S8522~
~07022~^~619~^~S8522~
~07022~^~664~^~S8522~
~07022~^~672~^~S8522~
~07022~^~676~^~S8522~
~07022~^~305~^~S8522~
~07028~^~631~^~S8522~
~07028~^~301~^~S8522~
~07028~^~410~^~S3554~
~07028~^~418~^~S3554~
~07028~^~613~^~S8522~
~07028~^~652~^~S8522~
~07028~^~674~^~S8522~
~07028~^~689~^~S8522~
~07028~^~618~^~S8522~
~19008~^~858~^~S8522~
~03017~^~621~^~S2113~
~03017~^~627~^~S2113~
~03017~^~303~^~S2113~
~03017~^~312~^~S2113~
~03017~^~317~^~S2113~
~03017~^~410~^~S2113~
~03017~^~629~^~S2113~
~03017~^~342~^~S2113~
~03194~^~628~^~S8382~
~03194~^~428~^~S8382~
~03194~^~853~^~S8382~
~03194~^~212~^~S8382~
~19008~^~851~^~S8522~
~19008~^~428~^~S2109~
~19008~^~853~^~S8522~
~19008~^~211~^~S8522~
~19008~^~213~^~S8522~
~19008~^~306~^~S8522~
~19008~^~321~^~S8522~
~19008~^~404~^~S8522~
~19008~^~410~^~S2109~
~19008~^~430~^~S2109~
~19008~^~612~^~S8522~
~03194~^~309~^~S8382~
~03194~^~405~^~S8382~
~03194~^~406~^~S8382~
~03194~^~521~^~S8382~
~03194~^~629~^~S8382~
~03194~^~664~^~S8382~
~03194~^~673~^~S8382~
~03194~^~685~^~S8382~
~03130~^~207~^~S2113~
~19008~^~613~^~S8522~
~19008~^~652~^~S8522~
~18064~^~697~^~S8522~
~18064~^~204~^~S8522~
~03130~^~429~^~S2113~
~03130~^~204~^~S2113~
~03130~^~321~^~S2113~
~03130~^~344~^~S2113~
~03130~^~406~^~S2113~
~03130~^~410~^~S2113~
~03130~^~624~^~S2113~
~03130~^~625~^~S2113~
~03130~^~671~^~S2113~
~03130~^~346~^~S2113~
~03131~^~211~^~S2113~
~03131~^~214~^~S2113~
~03131~^~306~^~S2113~
~03131~^~323~^~S2113~
~03131~^~337~^~S2113~
~03131~^~404~^~S2113~
~03131~^~610~^~S2113~
~03131~^~624~^~S2113~
~03131~^~629~^~S2113~
~03131~^~672~^~S2113~
~03131~^~687~^~S2113~
~03131~^~334~^~S2113~
~03131~^~346~^~S2113~
~18064~^~211~^~S8522~
~18064~^~213~^~S8522~
~18064~^~344~^~S2105~
~18064~^~608~^~S8522~
~18064~^~652~^~S8522~
~03189~^~210~^~S8382~
~03189~^~287~^~S8382~
~03189~^~312~^~S8382~
~18064~^~672~^~S8522~
~18064~^~673~^~S8522~
~22974~^~858~^~S8522~
~22974~^~853~^~S8522~
~22974~^~856~^~S8522~
~03189~^~323~^~S8382~
~03189~^~345~^~S8382~
~03189~^~404~^~S8382~
~03189~^~410~^~S8382~
~03189~^~662~^~S8382~
~03189~^~675~^~S8382~
~03189~^~676~^~S8382~
~22974~^~309~^~S8522~
~22974~^~319~^~S8522~
~22974~^~321~^~S8522~
~22974~^~322~^~S8522~
~22974~^~611~^~S8522~
~22974~^~614~^~S8522~
~03003~^~857~^~S2113~
~03003~^~454~^~S2113~
~03003~^~204~^~S2113~
~03003~^~301~^~S2113~
~03003~^~324~^~S2113~
~03003~^~610~^~S2113~
~03003~^~625~^~S2113~
~03003~^~342~^~S2113~
~03003~^~618~^~S2113~
~22974~^~629~^~S8522~
~22974~^~675~^~S8522~
~22974~^~609~^~S8522~
~22974~^~618~^~S8522~
~22974~^~305~^~S8522~
~01252~^~326~^~S7181~
~07081~^~620~^~S8522~
~01252~^~415~^~S7181~
~01252~^~620~^~S8522~
~01252~^~697~^~S8522~
~01252~^~210~^~S8522~
~01252~^~212~^~S8522~
~01252~^~214~^~S8522~
~07081~^~610~^~S8522~
~07081~^~617~^~S8522~
~07081~^~619~^~S8522~
~07081~^~654~^~S8522~
~01252~^~404~^~S7181~
~01252~^~430~^~S7181~
~01252~^~608~^~S8522~
~07081~^~675~^~S8522~
~07081~^~676~^~S8522~
~07081~^~689~^~S8522~
~01252~^~687~^~S8522~
~01252~^~618~^~S8522~
~03023~^~851~^~S8164~
~03023~^~204~^~S8164~
~03023~^~209~^~S8164~
~03023~^~213~^~S8164~
~11056~^~432~^~S3542~
~11056~^~255~^~S8522~
~11056~^~301~^~S6743~
~11056~^~410~^~S3542~
~03023~^~301~^~S8164~
~03023~^~343~^~S8164~
~03023~^~347~^~S8164~
~03023~^~672~^~S8164~
~03023~^~269~^~S8164~
~03023~^~305~^~S8164~
~33879~^~621~^~S8164~
~33879~^~207~^~S8164~
~33879~^~856~^~S8164~
~33879~^~203~^~S8164~
~33879~^~309~^~S8164~
~33879~^~345~^~S8164~
~33879~^~410~^~S8164~
~33879~^~625~^~S8164~
~33879~^~626~^~S8164~
~33879~^~674~^~S8164~
~33879~^~675~^~S8164~
~33879~^~305~^~S8164~
~07022~^~406~^~S8522~
~07022~^~608~^~S8522~
~07022~^~611~^~S8522~
~07022~^~670~^~S8522~
~07022~^~674~^~S8522~
~07028~^~207~^~S8522~
~07028~^~428~^~S3554~
~07028~^~853~^~S8522~
~07028~^~303~^~S8522~
~07028~^~614~^~S8522~
~07028~^~625~^~S8522~
~07028~^~685~^~S8522~
~03017~^~304~^~S2113~
~03017~^~631~^~S2113~
~03017~^~255~^~S2113~
~03017~^~613~^~S2113~
~03017~^~609~^~S2113~
~03194~^~325~^~S8382~
~03194~^~326~^~S8382~
~03194~^~303~^~S8382~
~03194~^~306~^~S8382~
~19008~^~621~^~S8522~
~19008~^~207~^~S8522~
~19008~^~628~^~S8522~
~19008~^~429~^~S2109~
~19008~^~307~^~S8522~
~19008~^~309~^~S8522~
~19008~^~315~^~S8522~
~19008~^~322~^~S8522~
~19008~^~410~^~S26~
~19008~^~610~^~S8522~
~03194~^~312~^~S8382~
~03194~^~670~^~S8382~
~03194~^~671~^~S8382~
~03194~^~672~^~S8382~
~03194~^~674~^~S8382~
~03194~^~630~^~S8382~
~03194~^~269~^~S8382~
~19008~^~614~^~S8522~
~19008~^~625~^~S8522~
~19008~^~654~^~S8522~
~19008~^~685~^~S8522~
~19008~^~346~^~S8522~
~18064~^~631~^~S8522~
~18064~^~851~^~S8522~
~18064~^~852~^~S8522~
~18064~^~853~^~S8522~
~18064~^~203~^~S8522~
~03130~^~211~^~S2113~
~03130~^~213~^~S2113~
~03130~^~306~^~S2113~
~03130~^~343~^~S2113~
~03130~^~610~^~S2113~
~03130~^~629~^~S2113~
~03130~^~687~^~S2113~
~03130~^~689~^~S2113~
~03130~^~342~^~S2113~
~03131~^~628~^~S2113~
~03131~^~212~^~S2113~
~03131~^~255~^~S2113~
~03131~^~307~^~S2113~
~03131~^~309~^~S2113~
~03131~^~322~^~S2113~
~03131~^~401~^~S2113~
~03131~^~430~^~S2113~
~18064~^~212~^~S8522~
~18064~^~343~^~S2105~
~18064~^~401~^~S2105~
~18064~^~404~^~S7023~
~18064~^~405~^~S7023~
~18064~^~611~^~S8522~
~18064~^~625~^~S8522~
~18064~^~654~^~S8522~
~18064~^~664~^~S8522~
~03131~^~305~^~S2113~
~03189~^~615~^~S8382~
~03189~^~621~^~S8382~
~03189~^~627~^~S8382~
~03189~^~853~^~S8382~
~03189~^~214~^~S8382~
~03189~^~291~^~S8382~
~18064~^~630~^~S8522~
~03187~^~313~^~D5201~
~22974~^~415~^~S8522~
~22974~^~204~^~S8522~
~03189~^~347~^~S8382~
~03189~^~405~^~S8382~
~03189~^~653~^~S8382~
~22974~^~291~^~S8522~
~22974~^~306~^~S8522~
~22974~^~338~^~S8522~
~22974~^~343~^~S8522~
~22974~^~410~^~S8522~
~22974~^~610~^~S8522~
~22974~^~612~^~S8522~
~03189~^~305~^~S8382~
~03003~^~858~^~S2113~
~03003~^~309~^~S2113~
~03003~^~313~^~D5201~
~03003~^~315~^~S2113~
~03003~^~341~^~S2113~
~03003~^~406~^~S2113~
~03003~^~629~^~S2113~
~03003~^~653~^~S2113~
~03003~^~630~^~S2113~
~07081~^~615~^~S8522~
~07081~^~858~^~S8522~
~22974~^~685~^~S8522~
~01252~^~615~^~S8522~
~01252~^~325~^~S7181~
~01252~^~621~^~S8522~
~07081~^~207~^~S8522~
~07081~^~856~^~S8522~
~01252~^~304~^~S8522~
~01252~^~853~^~S8522~
~01252~^~255~^~S8522~
~01252~^~287~^~S8522~
~01252~^~303~^~S8522~
~07081~^~312~^~S8522~
~07081~^~607~^~S8522~
~01252~^~312~^~S8522~
~01252~^~612~^~S8522~
~01252~^~619~^~S8522~
~01252~^~629~^~S8522~
~01252~^~652~^~S8522~
~07081~^~662~^~S8522~
~07081~^~671~^~S8522~
~07081~^~672~^~S8522~
~01252~^~664~^~S8522~
~01252~^~334~^~S7181~
~03023~^~858~^~S8164~
~03023~^~631~^~S8164~
~03023~^~856~^~S8164~
~03023~^~214~^~S8164~
~11056~^~203~^~S6743~
~11056~^~210~^~S8522~
~11056~^~301~^~S8522~
~11056~^~309~^~S6743~
~07022~^~858~^~S8522~
~07022~^~304~^~S8522~
~03023~^~307~^~S8164~
~03023~^~674~^~S8164~
~03023~^~609~^~S8164~
~03023~^~618~^~S8164~
~33879~^~858~^~S8164~
~33879~^~415~^~S8164~
~33879~^~851~^~S8164~
~33879~^~210~^~S8164~
~33879~^~317~^~S8164~
~33879~^~338~^~S8164~
~33879~^~401~^~S8164~
~07022~^~620~^~S8522~
~07022~^~211~^~S8522~
~07022~^~303~^~S8522~
~07022~^~306~^~S8522~
~07022~^~309~^~S8522~
~33879~^~406~^~S8164~
~33879~^~418~^~S8164~
~33879~^~619~^~S8164~
~33879~^~685~^~S8164~
~33879~^~689~^~S8164~
~33879~^~342~^~S8164~
~07022~^~405~^~S8522~
~07022~^~610~^~S8522~
~07022~^~614~^~S8522~
~07022~^~617~^~S8522~
~07022~^~624~^~S8522~
~07022~^~654~^~S8522~
~07028~^~858~^~S8522~
~07028~^~856~^~S8522~
~07028~^~417~^~S3554~
~07028~^~619~^~S8522~
~03017~^~628~^~S2113~
~03017~^~620~^~S2113~
~03017~^~301~^~S2113~
~03017~^~347~^~S2113~
~03017~^~610~^~S2113~
~03017~^~619~^~S2113~
~03017~^~630~^~S2113~
~03017~^~305~^~S2113~
~03194~^~429~^~S8382~
~03194~^~204~^~S8382~
~03194~^~210~^~S8382~
~03194~^~287~^~S8382~
~19008~^~304~^~S8522~
~19008~^~856~^~S8522~
~19008~^~291~^~S8522~
~19008~^~337~^~S8522~
~03194~^~404~^~S8382~
~03194~^~430~^~S8382~
~03194~^~612~^~S8382~
~03194~^~614~^~S8382~
~03194~^~619~^~S8382~
~03194~^~625~^~S8382~
~03194~^~687~^~S8382~
~03194~^~609~^~S8382~
~03130~^~620~^~S2113~
~03130~^~432~^~S2113~
~19008~^~629~^~S8522~
~19008~^~665~^~S8522~
~19008~^~672~^~S8522~
~19008~^~687~^~S8522~
~19008~^~618~^~S8522~
~18064~^~454~^~S2105~
~03130~^~428~^~S2113~
~03130~^~203~^~S2113~
~03130~^~214~^~S2113~
~03130~^~303~^~S2113~
~03130~^~417~^~S2113~
~03130~^~612~^~S2113~
~03130~^~614~^~S2113~
~03130~^~653~^~S2113~
~03131~^~620~^~S2113~
~03131~^~454~^~S2113~
~03131~^~428~^~S2113~
~03131~^~429~^~S2113~
~03131~^~341~^~S2113~
~03131~^~405~^~S2113~
~03131~^~406~^~S2113~
~03131~^~613~^~S2113~
~03131~^~671~^~S2113~
~18064~^~315~^~S8522~
~18064~^~317~^~S2105~
~18064~^~421~^~S2105~
~18064~^~612~^~S8522~
~18064~^~613~^~S8522~
~18064~^~614~^~S8522~
~03189~^~304~^~S8382~
~03189~^~628~^~S8382~
~03189~^~697~^~S8382~
~18064~^~671~^~S8522~
~18064~^~685~^~S8522~
~18064~^~618~^~S8522~
~22974~^~627~^~S8522~
~22974~^~697~^~S8522~
~22974~^~852~^~S8522~
~22974~^~210~^~S8522~
~03189~^~317~^~S8382~
~03189~^~401~^~S2113~
~03189~^~406~^~S8382~
~03189~^~663~^~S8382~
~03189~^~665~^~S8382~
~22974~^~301~^~S8522~
~22974~^~344~^~S8522~
~22974~^~404~^~S8522~
~22974~^~417~^~S8522~
~22974~^~608~^~S8522~
~03003~^~620~^~S2113~
~03003~^~428~^~S2113~
~03003~^~203~^~S2113~
~03003~^~255~^~S2113~
~03003~^~345~^~S2113~
~03003~^~430~^~S2113~
~03003~^~619~^~S2113~
~03003~^~626~^~S2113~
~03003~^~654~^~S2113~
~03003~^~346~^~S2113~
~22974~^~670~^~S8522~
~22974~^~672~^~S8522~
~22974~^~689~^~S8522~
~22974~^~630~^~S8522~
~07081~^~631~^~S8522~
~07081~^~211~^~S8522~
~07081~^~212~^~S8522~
~07081~^~214~^~S8522~
~01252~^~207~^~S8522~
~01252~^~301~^~S8522~
~01252~^~306~^~S8522~
~07081~^~405~^~S3554~
~07081~^~410~^~S7421~
~07081~^~626~^~S8522~
~07081~^~670~^~S8522~
~07081~^~630~^~S8522~
~11056~^~304~^~S6743~
~01252~^~671~^~S8522~
~01252~^~672~^~S8522~
~01252~^~269~^~S8522~
~01252~^~609~^~S8522~
~01252~^~305~^~S8522~
~11056~^~428~^~S3542~
~11056~^~204~^~S8522~
~11056~^~213~^~S8522~
~11056~^~312~^~S8522~
~11056~^~401~^~S6743~
~03023~^~309~^~S8164~
~03023~^~341~^~S8164~
~03023~^~345~^~S8164~
~03023~^~417~^~S8164~
~03023~^~671~^~S8164~
~03023~^~342~^~S8164~
~33879~^~212~^~S8164~
~33879~^~213~^~S8164~
~33879~^~255~^~S8164~
~07022~^~631~^~S8522~
~07022~^~697~^~S8522~
~07022~^~851~^~S8522~
~07022~^~317~^~S6742~
~33879~^~612~^~S8164~
~33879~^~653~^~S8164~
~33879~^~664~^~S8164~
~33879~^~676~^~S8164~
~33879~^~618~^~S8164~
~07022~^~344~^~S8522~
~07022~^~417~^~S8522~
~07022~^~607~^~S8522~
~07022~^~613~^~S8522~
~07022~^~653~^~S8522~
~07022~^~662~^~S8522~
~07022~^~663~^~S8522~
~07022~^~665~^~S8522~
~07022~^~269~^~S8522~
~07022~^~346~^~S8522~
~07028~^~415~^~S3554~
~07028~^~620~^~S8522~
~07028~^~306~^~S8522~
~07028~^~307~^~S8522~
~07028~^~421~^~S3554~
~07028~^~617~^~S8522~
~07028~^~663~^~S8522~
~07028~^~675~^~S8522~
~07028~^~687~^~S8522~
~07028~^~630~^~S8522~
~03017~^~207~^~S2113~
~03017~^~601~^~S2113~
~03017~^~307~^~S2113~
~03017~^~323~^~S2113~
~03017~^~341~^~S2113~
~03017~^~343~^~S2113~
~03194~^~615~^~S8382~
~03194~^~621~^~S8382~
~03194~^~207~^~S8382~
~03194~^~856~^~S8382~
~03194~^~211~^~S8382~
~03194~^~214~^~S8382~
~03194~^~255~^~S8382~
~03194~^~291~^~S8382~
~19008~^~209~^~S8522~
~19008~^~210~^~S8522~
~19008~^~255~^~S8522~
~19008~^~319~^~S8522~
~19008~^~344~^~S8522~
~03194~^~315~^~S8382~
~03194~^~410~^~S8382~
~03194~^~611~^~S8382~
~03194~^~624~^~S8382~
~03194~^~653~^~S8382~
~03194~^~662~^~S8382~
~03130~^~621~^~S2113~
~03130~^~697~^~S2113~
~19008~^~619~^~S8522~
~19008~^~653~^~S8522~
~19008~^~670~^~S8522~
~19008~^~671~^~S8522~
~19008~^~675~^~S7621~
~19008~^~269~^~S8522~
~18064~^~858~^~S8522~
~18064~^~627~^~S8522~
~03130~^~209~^~S2113~
~03130~^~301~^~S2113~
~03130~^~309~^~S2113~
~03130~^~345~^~S2113~
~03130~^~404~^~S2113~
~03130~^~630~^~S2113~
~03130~^~269~^~S2113~
~03130~^~334~^~S2113~
~03130~^~305~^~S2113~
~03131~^~621~^~S2113~
~03131~^~627~^~S2113~
~03131~^~203~^~S2113~
~03131~^~291~^~S2113~
~03131~^~303~^~S2113~
~03131~^~317~^~S2113~
~03131~^~626~^~S2113~
~03131~^~342~^~S2113~
~03131~^~609~^~S2113~
~18064~^~214~^~S8522~
~18064~^~255~^~S8522~
~18064~^~287~^~S8522~
~18064~^~307~^~S8522~
~18064~^~341~^~S2105~
~18064~^~347~^~S2105~
~18064~^~410~^~S2105~
~18064~^~624~^~S8522~
~03189~^~858~^~S8382~
~03189~^~415~^~S8382~
~03189~^~428~^~S8382~
~03189~^~852~^~S8382~
~03189~^~856~^~S8382~
~03189~^~212~^~S8382~
~03189~^~307~^~S8382~
~18064~^~676~^~S8522~
~22974~^~615~^~S8522~
~22974~^~621~^~S8522~
~22974~^~207~^~S8522~
~03189~^~319~^~S8382~
~03189~^~417~^~S8382~
~03189~^~418~^~S8382~
~03189~^~626~^~S8382~
~03189~^~629~^~S8382~
~03189~^~664~^~S8382~
~03189~^~670~^~S8382~
~03189~^~673~^~S8382~
~22974~^~255~^~S8522~
~22974~^~303~^~S8522~
~22974~^~406~^~S8522~
~03189~^~630~^~S8382~
~03189~^~609~^~S8382~
~03003~^~627~^~S2113~
~03003~^~601~^~S2113~
~03003~^~429~^~S2113~
~03003~^~343~^~S2113~
~03003~^~344~^~S2113~
~03003~^~404~^~S2113~
~03003~^~672~^~S2113~
~03003~^~687~^~S2113~
~03003~^~305~^~S2113~
~22974~^~617~^~S8522~
~22974~^~624~^~S8522~
~22974~^~626~^~S8522~
~22974~^~653~^~S8522~
~22974~^~654~^~S8522~
~22974~^~662~^~S8522~
~22974~^~664~^~S8522~
~22974~^~671~^~S8522~
~22974~^~673~^~S8522~
~22974~^~334~^~S8522~
~22974~^~342~^~S8522~
~22974~^~346~^~S8522~
~07081~^~851~^~S8522~
~07081~^~213~^~S8522~
~01252~^~851~^~S8522~
~01252~^~852~^~S8522~
~01252~^~203~^~S8522~
~01252~^~309~^~S8522~
~07081~^~317~^~S3554~
~07081~^~612~^~S8522~
~07081~^~653~^~S8522~
~01252~^~321~^~S7181~
~01252~^~337~^~S7181~
~01252~^~405~^~S7181~
~01252~^~418~^~S7181~
~01252~^~610~^~S8522~
~01252~^~613~^~S8522~
~01252~^~617~^~S8522~
~07081~^~663~^~S8522~
~07081~^~664~^~S8522~
~07081~^~673~^~S8522~
~07081~^~618~^~S8522~
~01252~^~675~^~S8522~
~01252~^~685~^~S8522~
~03023~^~615~^~S8164~
~03023~^~697~^~S8164~
~11056~^~454~^~S3542~
~11056~^~429~^~S3542~
~11056~^~211~^~S8522~
~11056~^~291~^~S3542~
~11056~^~312~^~S6743~
~11056~^~315~^~S6743~
~11056~^~401~^~S3542~
~11056~^~404~^~S6743~
~11056~^~334~^~S3542~
~07022~^~621~^~S8522~
~03023~^~315~^~S8164~
~03023~^~344~^~S8164~
~03023~^~404~^~S8164~
~03023~^~619~^~S8164~
~03023~^~629~^~S8164~
~03023~^~662~^~S8164~
~03023~^~663~^~S8164~
~03023~^~664~^~S8164~
~03023~^~689~^~S8164~
~33879~^~615~^~S8164~
~33879~^~697~^~S8164~
~33879~^~209~^~S8164~
~33879~^~287~^~S8164~
~33879~^~306~^~S8164~
~33879~^~321~^~S8164~
~33879~^~341~^~S8164~
~33879~^~343~^~S8164~
~07022~^~415~^~S8522~
~07022~^~210~^~S8522~
~07022~^~255~^~S8522~
~07022~^~307~^~S8522~
~33879~^~405~^~S8164~
~33879~^~608~^~S8164~
~33879~^~652~^~S8164~
~33879~^~663~^~S8164~
~33879~^~665~^~S8164~
~33879~^~673~^~S8164~
~33879~^~334~^~S8164~
~33879~^~346~^~S8164~
~07022~^~345~^~S8522~
~07022~^~347~^~S8522~
~07022~^~675~^~S8522~
~07022~^~687~^~S8522~
~07022~^~689~^~S8522~
~07028~^~615~^~S8522~
~07028~^~454~^~S3554~
~07028~^~429~^~S3554~
~07028~^~315~^~S8522~
~07028~^~317~^~S3554~
~07028~^~404~^~S3554~
~07028~^~611~^~S8522~
~07028~^~653~^~S8522~
~07028~^~609~^~S8522~
~03017~^~203~^~S2113~
~03017~^~204~^~S2113~
~03017~^~315~^~S2113~
~03017~^~405~^~S2113~
~03017~^~406~^~S2113~
~03017~^~421~^~S2113~
~03017~^~430~^~S2113~
~03017~^~626~^~S2113~
~03194~^~415~^~S8382~
~03194~^~631~^~S8382~
~03194~^~203~^~S8382~
~03194~^~209~^~S8382~
~19008~^~627~^~S8522~
~19008~^~203~^~S8522~
~19008~^~301~^~S8522~
~19008~^~317~^~S2109~
~19008~^~406~^~S8522~
~19008~^~417~^~S8522~
~03194~^~319~^~S8382~
~03194~^~323~^~S8382~
~03194~^~417~^~S8382~
~03194~^~418~^~S8382~
~03194~^~421~^~S8382~
~03194~^~613~^~S8382~
~03194~^~626~^~S8382~
~03194~^~654~^~S8382~
~03194~^~675~^~S8382~
~03194~^~305~^~S8382~
~03130~^~415~^~S2113~
~03130~^~631~^~S2113~
~19008~^~626~^~S8522~
~19008~^~689~^~S8522~
~19008~^~342~^~S8522~
~18064~^~304~^~S8522~
~18064~^~628~^~S8522~
~03130~^~287~^~S2113~
~03130~^~322~^~S2113~
~03130~^~341~^~S2113~
~03130~^~347~^~S2113~
~03130~^~401~^~S2113~
~03130~^~405~^~S2113~
~03130~^~430~^~S2113~
~03130~^~619~^~S2113~
~03130~^~672~^~S2113~
~03131~^~415~^~S2113~
~03131~^~631~^~S2113~
~03131~^~432~^~S2113~
~03131~^~213~^~S2113~
~03131~^~287~^~S2113~
~03131~^~301~^~S2113~
~03131~^~315~^~S2113~
~03131~^~321~^~S2113~
~03131~^~347~^~S2113~
~03131~^~654~^~S2113~
~03131~^~630~^~S2113~
~03131~^~269~^~S2113~
~18064~^~306~^~S8522~
~03189~^~325~^~S8382~
~03189~^~326~^~S8382~
~03189~^~631~^~S8382~
~03189~^~209~^~S8382~
~03189~^~255~^~S8382~
~18064~^~675~^~S8522~
~18064~^~689~^~S8522~
~18064~^~346~^~S2105~
~22974~^~304~^~S8522~
~22974~^~628~^~S8522~
~22974~^~851~^~S8522~
~03189~^~430~^~S8382~
~03189~^~610~^~S8382~
~03189~^~611~^~S8382~
~03189~^~612~^~S8382~
~03189~^~619~^~S8382~
~03189~^~652~^~S8382~
~03189~^~674~^~S8382~
~03189~^~685~^~S8382~
~22974~^~214~^~S8522~
~22974~^~307~^~S8522~
~22974~^~312~^~S8522~
~22974~^~337~^~S8522~
~22974~^~405~^~S8522~
~22974~^~613~^~S8522~
~03189~^~689~^~S8382~
~03003~^~615~^~S2113~
~03003~^~304~^~S2113~
~03003~^~432~^~S2113~
~03003~^~697~^~S2113~
~03003~^~312~^~S2113~
~03003~^~317~^~S2113~
~03003~^~405~^~S2113~
~03003~^~410~^~S2113~
~03003~^~612~^~S2113~
~03003~^~652~^~S2113~
~07081~^~621~^~S8522~
~22974~^~625~^~S8522~
~22974~^~665~^~S8522~
~22974~^~269~^~S8522~
~07081~^~627~^~S8522~
~07081~^~210~^~S8522~
~07081~^~307~^~S8522~
~01252~^~428~^~S7181~
~01252~^~211~^~S8522~
~01252~^~213~^~S8522~
~07081~^~418~^~S3554~
~07081~^~613~^~S8522~
~07081~^~614~^~S8522~
~07081~^~624~^~S8522~
~07081~^~625~^~S8522~
~07081~^~629~^~S8522~
~01252~^~322~^~S7181~
~01252~^~324~^~S7181~
~01252~^~338~^~S7181~
~01252~^~341~^~S7181~
~01252~^~344~^~S7181~
~01252~^~607~^~S8522~
~01252~^~624~^~S8522~
~01252~^~663~^~S8522~
~07081~^~665~^~S8522~
~07081~^~609~^~S8522~
~11056~^~207~^~S8522~
~01252~^~673~^~S8522~
~01252~^~674~^~S8522~
~01252~^~342~^~S7181~
~03023~^~627~^~S8164~
~03023~^~203~^~S8164~
~11056~^~432~^~S6743~
~11056~^~203~^~S8522~
~11056~^~204~^~S6743~
~11056~^~255~^~S6743~
~11056~^~303~^~S6743~
~11056~^~307~^~S8522~
~11056~^~321~^~S3542~
~11056~^~269~^~S8522~
~11056~^~305~^~S6743~
~07022~^~627~^~S8522~
~03023~^~291~^~S8164~
~03023~^~303~^~S8164~
~03023~^~306~^~S8164~
~03023~^~312~^~S8164~
~03023~^~405~^~S8164~
~03023~^~610~^~S8164~
~03023~^~611~^~S8164~
~03023~^~653~^~S8164~
~03023~^~665~^~S8164~
~03023~^~676~^~S8164~
~03023~^~687~^~S8164~
~33879~^~304~^~S8164~
~33879~^~211~^~S8164~
~33879~^~303~^~S8164~
~33879~^~307~^~S8164~
~33879~^~323~^~S8164~
~33879~^~404~^~S8164~
~07022~^~628~^~S8522~
~07022~^~213~^~S8522~
~07022~^~287~^~S8522~
~07022~^~315~^~S8522~
~33879~^~417~^~S8164~
~33879~^~521~^~S8164~
~33879~^~607~^~S8164~
~33879~^~611~^~S8164~
~33879~^~614~^~S8164~
~33879~^~671~^~S8164~
~33879~^~269~^~S8164~
~07022~^~319~^~S8522~
~07022~^~323~^~S8522~
~07022~^~404~^~S8522~
~07022~^~612~^~S8522~
~07022~^~625~^~S8522~
~07022~^~671~^~S8522~
~07028~^~697~^~S8522~
~07028~^~851~^~S8522~
~07028~^~204~^~S8522~
~07028~^~608~^~S8522~
~07028~^~610~^~S8522~
~07028~^~662~^~S8522~
~07028~^~664~^~S8522~
~07028~^~665~^~S8522~
~07028~^~670~^~S8522~
~07028~^~672~^~S8522~
~07028~^~305~^~S8522~
~19008~^~615~^~S8522~
~03017~^~454~^~S2113~
~03017~^~309~^~S2113~
~03017~^~344~^~S2113~
~03017~^~345~^~S2113~
~03017~^~404~^~S2113~
~03017~^~346~^~S2113~
~03017~^~618~^~S2113~
~03194~^~304~^~S8382~
~03194~^~697~^~S8382~
~03194~^~851~^~S8382~
~03194~^~301~^~S8382~
~19008~^~415~^~S8522~
~19008~^~697~^~S8522~
~19008~^~852~^~S8522~
~19008~^~312~^~S8522~
~19008~^~421~^~S2109~
~03194~^~317~^~S8382~
~03194~^~608~^~S8382~
~03194~^~610~^~S8382~
~03194~^~652~^~S8382~
~03130~^~304~^~S2113~
~03130~^~628~^~S2113~
~19008~^~662~^~S8522~
~19008~^~676~^~S8522~
~19008~^~630~^~S8522~
~18064~^~615~^~S8522~
~18064~^~207~^~S8522~
~18064~^~415~^~S7023~
~03130~^~291~^~S2113~
~03130~^~337~^~S2113~
~03130~^~421~^~S2113~
~03130~^~652~^~S2113~
~03131~^~857~^~S2113~
~03131~^~858~^~S2113~
~03131~^~207~^~S2113~
~03131~^~204~^~S2113~
~03131~^~343~^~S2113~
~03131~^~345~^~S2113~
~03131~^~410~^~S2113~
~03131~^~421~^~S2113~
~03131~^~612~^~S2113~
~18064~^~210~^~S8522~
~18064~^~303~^~S8522~
~18064~^~309~^~S8522~
~18064~^~607~^~S8522~
~18064~^~610~^~S8522~
~18064~^~626~^~S8522~
~18064~^~653~^~S8522~
~18064~^~662~^~S8522~
~03189~^~207~^~S8382~
~03189~^~429~^~S8382~
~03189~^~203~^~S8382~
~03189~^~306~^~S8382~
~03189~^~309~^~S8382~
~18064~^~269~^~S8522~
~18064~^~609~^~S8522~
~22974~^~620~^~S8522~
~22974~^~203~^~S8522~
~22974~^~209~^~S8522~
~03189~^~341~^~S8382~
~03189~^~343~^~S8382~
~03189~^~421~^~S8382~
~03189~^~521~^~S8382~
~03189~^~608~^~S8382~
~03189~^~617~^~S8382~
~03189~^~625~^~S8382~
~03189~^~654~^~S8382~
~03189~^~672~^~S8382~
~22974~^~323~^~S8522~
~22974~^~341~^~S8522~
~22974~^~418~^~S8522~
~03189~^~618~^~S8382~
~03003~^~303~^~S2113~
~03003~^~307~^~S2113~
~03003~^~418~^~S2113~
~03003~^~421~^~S2113~
~03003~^~611~^~S2113~
~03003~^~617~^~S2113~
~22974~^~619~^~S8522~
~22974~^~674~^~S8522~
~22974~^~687~^~S8522~
~07081~^~853~^~S8522~
~07081~^~203~^~S8522~
~07081~^~287~^~S8522~
~07081~^~306~^~S8522~
~01252~^~631~^~S8522~
~01252~^~454~^~S7181~
~01252~^~204~^~S8522~
~01252~^~307~^~S8522~
~07081~^~652~^~S8522~
~01252~^~317~^~S7181~
~01252~^~323~^~S7181~
~01252~^~410~^~S7181~
~01252~^~653~^~S8522~
~01252~^~662~^~S8522~
~07081~^~674~^~S8522~
~07081~^~685~^~S8522~
~11056~^~304~^~S8522~
~11056~^~207~^~S6743~
~01252~^~346~^~S7181~
~03023~^~852~^~S8164~
~11056~^~212~^~S8522~
~11056~^~214~^~S8522~
~11056~^~303~^~S8522~
~11056~^~322~^~S3542~
~11056~^~404~^~S3542~
~11056~^~405~^~S3542~
~11056~^~406~^~S3542~
~11056~^~430~^~S3542~
~03023~^~287~^~S8164~
~03023~^~410~^~S8164~
~03023~^~612~^~S8164~
~03023~^~614~^~S8164~
~03023~^~624~^~S8164~
~03023~^~625~^~S8164~
~03023~^~626~^~S8164~
~03023~^~654~^~S8164~
~03023~^~673~^~S8164~
~03023~^~685~^~S8164~
~03023~^~630~^~S8164~
~33879~^~627~^~S8164~
~33879~^~852~^~S8164~
~33879~^~853~^~S8164~
~33879~^~214~^~S8164~
~33879~^~301~^~S8164~
~33879~^~312~^~S8164~
~07022~^~852~^~S8522~
~07022~^~856~^~S8522~
~33879~^~617~^~S8164~
~33879~^~624~^~S8164~
~33879~^~687~^~S8164~
~33879~^~630~^~S8164~
~07022~^~418~^~S8522~
~07022~^~626~^~S8522~
~07022~^~629~^~S8522~
~07022~^~652~^~S8522~
~07022~^~673~^~S8522~
~07022~^~685~^~S8522~
~07022~^~609~^~S8522~
~07022~^~618~^~S8522~
~07028~^~203~^~S8522~
~07028~^~309~^~S8522~
~07028~^~312~^~S8522~
~07028~^~607~^~S8522~
~07028~^~654~^~S8522~
~07028~^~676~^~S8522~
~03017~^~415~^~S2113~
~03017~^~306~^~S2113~
~03017~^~324~^~S2113~
~03017~^~417~^~S2113~
~03017~^~612~^~S2113~
~03017~^~617~^~S2113~
~03192~^~313~^~D5201~
~03194~^~858~^~S8382~
~03194~^~627~^~S8382~
~03194~^~620~^~S8382~
~19008~^~631~^~S8522~
~19008~^~620~^~S8522~
~19008~^~454~^~S2109~
~19008~^~204~^~S8522~
~19008~^~212~^~S8522~
~19008~^~343~^~S8522~
~19008~^~345~^~S8522~
~19008~^~405~^~S8522~
~19008~^~418~^~S8522~
~19008~^~521~^~S2109~
~19008~^~608~^~S8522~
~19008~^~611~^~S8522~
~03194~^~307~^~S8382~
~03194~^~663~^~S8382~
~03194~^~665~^~S8382~
~03194~^~676~^~S8382~
~03194~^~689~^~S8382~
~03130~^~627~^~S2113~
~19008~^~663~^~S8522~
~19008~^~664~^~S7621~
~19008~^~669~^~S2109~
~19008~^~673~^~S7621~
~19008~^~334~^~S8522~
~18064~^~856~^~S8522~
~03130~^~210~^~S2113~
~03130~^~212~^~S2113~
~03130~^~307~^~S2113~
~03130~^~312~^~S2113~
~03130~^~315~^~S2113~
~03130~^~626~^~S2113~
~03130~^~654~^~S2113~
~03130~^~609~^~S2113~
~03131~^~697~^~S2113~
~03131~^~209~^~S2113~
~03131~^~210~^~S2113~
~03131~^~312~^~S2113~
~03131~^~417~^~S2113~
~03131~^~619~^~S2113~
~03131~^~625~^~S2113~
~03131~^~652~^~S2113~
~03131~^~653~^~S2113~
~18064~^~209~^~S8522~
~18064~^~312~^~S8522~
~18064~^~663~^~S8522~
~18064~^~665~^~S8522~
~03189~^~857~^~S2113~
~03189~^~454~^~S8382~
~03189~^~204~^~S8382~
~03189~^~213~^~S8382~
~03189~^~301~^~S8382~
~18064~^~674~^~S8522~
~18064~^~342~^~S2105~
~18064~^~305~^~S8522~
~22974~^~601~^~S6741~
~22974~^~631~^~S8522~
~03189~^~613~^~S8382~
~03189~^~614~^~S8382~
~03189~^~624~^~S8382~
~03189~^~687~^~S8382~
~22974~^~607~^~S8522~
~03189~^~269~^~S8382~
~03003~^~431~^~S2113~
~03003~^~306~^~S2113~
~03003~^~323~^~S2113~
~03003~^~347~^~S2113~
~03003~^~417~^~S2113~
~03003~^~689~^~S2113~
~03003~^~609~^~S2113~
~22974~^~663~^~S8522~
~22974~^~676~^~S8522~
~01252~^~858~^~S8522~
~07081~^~628~^~S8522~
~07081~^~415~^~S3554~
~07081~^~697~^~S8522~
~07081~^~852~^~S8522~
~07081~^~204~^~S8522~
~07081~^~301~^~S8522~
~01252~^~628~^~S8522~
~01252~^~601~^~S7181~
~07081~^~608~^~S8522~
~07081~^~611~^~S8522~
~01252~^~421~^~S7181~
~01252~^~614~^~S8522~
~01252~^~626~^~S8522~
~07081~^~687~^~S8522~
~07081~^~269~^~S8522~
~07081~^~305~^~S8522~
~01252~^~665~^~S8522~
~01252~^~670~^~S8522~
~03023~^~621~^~S8164~
~03023~^~207~^~S8164~
~03023~^~620~^~S8164~
~03023~^~210~^~S8164~
~03023~^~211~^~S8164~
~03023~^~212~^~S8164~
~03023~^~255~^~S8164~
~11056~^~209~^~S3542~
~11056~^~405~^~S6743~
~11056~^~406~^~S6743~
~11056~^~421~^~S3542~
~11056~^~305~^~S8522~
~03023~^~317~^~S8164~
~03023~^~323~^~S8164~
~03023~^~608~^~S8164~
~03023~^~613~^~S8164~
~03023~^~617~^~S8164~
~03023~^~652~^~S8164~
~03023~^~670~^~S8164~
~03023~^~675~^~S8164~
~03023~^~346~^~S8164~
~33879~^~628~^~S8164~
~33879~^~620~^~S8164~
~33879~^~204~^~S8164~
~33879~^~291~^~S8164~
~33879~^~315~^~S8164~
~33879~^~322~^~S8164~
~33879~^~347~^~S8164~
~07022~^~301~^~S8522~
~07022~^~312~^~S8522~
~33879~^~610~^~S8164~
~33879~^~629~^~S8164~
~33879~^~654~^~S8164~
~33879~^~662~^~S8164~
~07022~^~341~^~S8522~
~07022~^~630~^~S8522~
~07022~^~342~^~S8522~
~07028~^~621~^~S8522~
~07028~^~304~^~S8522~
~07028~^~627~^~S8522~
~07028~^~628~^~S8522~
~07028~^~852~^~S8522~
~07028~^~255~^~S8522~
~07028~^~405~^~S3554~
~07028~^~406~^~S3554~
~07028~^~430~^~S3554~
~07028~^~612~^~S8522~
~07028~^~624~^~S8522~
~07028~^~626~^~S8522~
~07028~^~629~^~S8522~
~07028~^~671~^~S8522~
~07028~^~673~^~S8522~
~03017~^~418~^~S2113~
~03017~^~611~^~S2113~
~03017~^~614~^~S2113~
~03194~^~852~^~S8382~
~03194~^~213~^~S8382~
~19008~^~214~^~S8522~
~19008~^~303~^~S8522~
~19008~^~338~^~S8522~
~19008~^~401~^~S2109~
~19008~^~607~^~S7621~
~03194~^~607~^~S8382~
~03194~^~617~^~S8382~
~03194~^~618~^~S8382~
~03130~^~615~^~S2113~
~03130~^~857~^~S2113~
~03130~^~858~^~S2113~
~19008~^~617~^~S8522~
~19008~^~624~^~S8522~
~19008~^~609~^~S8522~
~19008~^~305~^~S8522~
~18064~^~621~^~S8522~
~18064~^~620~^~S8522~
~03130~^~454~^~S2113~
~03130~^~255~^~S2113~
~03130~^~317~^~S2113~
~03130~^~323~^~S2113~
~03130~^~611~^~S2113~
~03130~^~613~^~S2113~
~03130~^~618~^~S2113~
~03131~^~615~^~S2113~
~03131~^~304~^~S2113~
~03131~^~344~^~S2113~
~03131~^~611~^~S2113~
~03131~^~614~^~S2113~
~03131~^~689~^~S2113~
~18064~^~291~^~S7023~
~18064~^~301~^~S8522~
~18064~^~323~^~S2105~
~18064~^~406~^~S7023~
~18064~^~430~^~S2105~
~18064~^~617~^~S8522~
~18064~^~619~^~S8522~
~18064~^~629~^~S8522~
~03131~^~618~^~S2113~
~03189~^~851~^~S8382~
~03189~^~211~^~S8382~
~03189~^~303~^~S8382~
~18064~^~670~^~S8522~
~18064~^~687~^~S8522~
~03189~^~315~^~S8382~
~03189~^~344~^~S8382~
~03189~^~607~^~S8382~
~03189~^~671~^~S8382~
~22974~^~211~^~S8522~
~22974~^~212~^~S8522~
~22974~^~213~^~S8522~
~22974~^~287~^~S8522~
~22974~^~315~^~S8522~
~22974~^~345~^~S8522~
~22974~^~347~^~S8522~
~22974~^~401~^~S8522~
~03189~^~342~^~S8382~
~03189~^~346~^~S8382~
~03003~^~207~^~S2113~
~03003~^~628~^~S2113~
~03003~^~415~^~S2113~
~03003~^~631~^~S2113~
~03003~^~613~^~S2113~
~03003~^~614~^~S2113~
~03003~^~624~^~S2113~
~03003~^~671~^~S2113~
~22974~^~652~^~S8522~
~07081~^~304~^~S8522~
~07081~^~255~^~S8522~
~07081~^~303~^~S8522~
~01252~^~627~^~S8522~
~01252~^~856~^~S8522~
~07081~^~309~^~S8522~
~07081~^~315~^~S8522~
~07081~^~406~^~S3554~
~01252~^~315~^~S8522~
~01252~^~319~^~S7181~
~01252~^~343~^~S7181~
~01252~^~345~^~S7181~
~01252~^~347~^~S7181~
~01252~^~406~^~S7181~
~01252~^~611~^~S8522~
~01252~^~625~^~S8522~
~01252~^~654~^~S8522~
~01252~^~676~^~S8522~
~01252~^~689~^~S8522~
~01252~^~630~^~S8522~
~03023~^~304~^~S8164~
~03023~^~628~^~S8164~
~03023~^~415~^~S8164~
~03023~^~853~^~S8164~
~11056~^~415~^~S3542~
~11056~^~287~^~S8522~
~11056~^~306~^~S8522~
~11056~^~309~^~S8522~
~11056~^~315~^~S8522~
~07022~^~615~^~S8522~
~03023~^~406~^~S8164~
~03023~^~607~^~S8164~
~33879~^~631~^~S8164~
~33879~^~337~^~S8164~
~33879~^~344~^~S8164~
|
88ff5709c7ae02186d8424133357c8406f9ff842
|
2023-03-17T10:50:09.040447
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.5651874311, "avg_line_length": 22.9802058591, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2021-09-22T15:11:48.000Z", "max_forks_repo_forks_event_min_datetime": "2021-05-11T01:17:13.000Z", "max_forks_repo_head_hexsha": "1ed1ec788acfc1529993263a6f00b5e132908eb4", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "kavir1698/DietRecommender.jl", "max_forks_repo_path": "data/SR28upd0516/DATSRCLN.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "1ed1ec788acfc1529993263a6f00b5e132908eb4", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "kavir1698/DietRecommender.jl", "max_issues_repo_path": "data/SR28upd0516/DATSRCLN.txt", "max_line_length": 22, "max_stars_count": 6, "max_stars_repo_head_hexsha": "1ed1ec788acfc1529993263a6f00b5e132908eb4", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "kavir1698/DietRecommender.jl", "max_stars_repo_path": "data/SR28upd0516/DATSRCLN.txt", "max_stars_repo_stars_event_max_datetime": "2021-11-16T13:32:02.000Z", "max_stars_repo_stars_event_min_datetime": "2020-12-12T02:35:02.000Z", "size": 29024}
| 2022-12-01T00:00:00 |
text
| 26 |
1
00:14:19,000 --> 00:14:24,000
Upcoming jump scare (Minor)
2
01:15:48,000 --> 01:15:53,000
Upcoming jump scare (Minor)
3
01:29:40,000 --> 01:29:45,000
Upcoming jump scare (Minor)
4
01:35:28,000 --> 01:35:33,000
Upcoming jump scare (Major)
|
4ee873d5f7bf33de2162e49b9d6d69dea537f825
|
2023-03-17T10:14:48.508929
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6721311475, "avg_line_length": 14.3529411765, "ext": "txt", "max_forks_count": 12, "max_forks_repo_forks_event_max_datetime": "2022-02-01T11:20:21.000Z", "max_forks_repo_forks_event_min_datetime": "2021-08-20T09:56:08.000Z", "max_forks_repo_head_hexsha": "a0b03a0787fc4fc236454b1237003809d4321a0e", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "MikeOwino/jumpskip", "max_forks_repo_path": "src/movies/Carrie-2013.srt.txt", "max_issues_count": 1, "max_issues_repo_head_hexsha": "a0b03a0787fc4fc236454b1237003809d4321a0e", "max_issues_repo_issues_event_max_datetime": "2021-10-30T18:19:09.000Z", "max_issues_repo_issues_event_min_datetime": "2021-10-30T18:19:09.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "MikeOwino/jumpskip", "max_issues_repo_path": "src/movies/Carrie-2013.srt.txt", "max_line_length": 29, "max_stars_count": 180, "max_stars_repo_head_hexsha": "a0b03a0787fc4fc236454b1237003809d4321a0e", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "MikeOwino/jumpskip", "max_stars_repo_path": "src/movies/Carrie-2013.srt.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-25T18:49:26.000Z", "max_stars_repo_stars_event_min_datetime": "2021-08-20T08:35:50.000Z", "size": 244}
| 2022-12-01T00:00:00 |
text
| 27 |
Car 0.96 0 -0.86 0.00 199.21 302.21 369.00 1.50 1.78 3.69 -3.17 1.66 3.35 -1.57
Pedestrian 0.00 1 -0.44 938.63 145.70 1018.45 300.55 1.75 0.57 1.07 4.33 1.36 8.34 0.03
Pedestrian 0.00 0 -0.46 963.28 137.90 1050.18 310.71 1.80 0.61 1.04 4.43 1.36 7.71 0.04
Cyclist 0.00 2 -1.59 990.77 147.58 1027.72 216.99 1.72 0.78 1.71 10.52 0.90 18.49 -1.07
Pedestrian 0.00 0 0.25 390.77 167.24 440.11 276.21 1.72 0.55 0.93 -3.05 1.52 11.52 -0.00
Pedestrian 0.00 0 0.32 353.81 171.58 400.69 279.78 1.62 0.48 0.96 -3.56 1.49 10.90 0.02
Car 0.00 0 1.65 446.63 170.85 481.14 195.62 1.45 1.75 4.23 -8.73 0.88 44.04 1.46
Car 0.00 0 -1.86 658.37 166.90 704.06 194.00 1.50 1.54 4.10 4.44 0.74 41.69 -1.75
DontCare -1 -1 -10 626.48 164.74 652.89 179.68 -1 -1 -1 -1000 -1000 -1000 -10
DontCare -1 -1 -10 509.82 169.84 530.50 184.14 -1 -1 -1 -1000 -1000 -1000 -10
DontCare -1 -1 -10 290.52 182.59 313.75 214.74 -1 -1 -1 -1000 -1000 -1000 -10
DontCare -1 -1 -10 881.48 152.62 907.25 194.97 -1 -1 -1 -1000 -1000 -1000 -10
DontCare -1 -1 -10 746.33 156.45 755.53 184.14 -1 -1 -1 -1000 -1000 -1000 -10
|
7e1a8fe5571189da427787add9132e34eca94160
|
2023-03-17T10:50:28.809865
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.644320298, "avg_line_length": 76.7142857143, "ext": "txt", "max_forks_count": 82, "max_forks_repo_forks_event_max_datetime": "2021-12-02T06:33:33.000Z", "max_forks_repo_forks_event_min_datetime": "2018-07-28T14:51:54.000Z", "max_forks_repo_head_hexsha": "408cc34aac9a30233ac3a23661654997d0cd5641", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "fregu856/retinanet", "max_forks_repo_path": "eval_kitti/build/data/object/label_2/002626.txt", "max_issues_count": 10, "max_issues_repo_head_hexsha": "dcd23d17acf70700e74beb4191fe06a03c572a6f", "max_issues_repo_issues_event_max_datetime": "2020-01-15T11:29:03.000Z", "max_issues_repo_issues_event_min_datetime": "2018-07-18T18:28:31.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "chisyliu/3DOD_thesis", "max_issues_repo_path": "eval_kitti/build/data/object/label_2/002626.txt", "max_line_length": 88, "max_stars_count": 293, "max_stars_repo_head_hexsha": "7f4d3449dd8f5e785b5daa29b72c214364b90c0e", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "silencelearner/nvidia_sky_hackthon", "max_stars_repo_path": "label_2/002626.txt", "max_stars_repo_stars_event_max_datetime": "2022-02-23T14:07:35.000Z", "max_stars_repo_stars_event_min_datetime": "2018-06-07T19:20:57.000Z", "size": 1074}
| 2022-12-01T00:00:00 |
text
| 28 |
Amet est quisquam consectetur non ipsum labore dolor.
|
0124c2e59181acd5780aebfaaaea8fbd1a0d8edf
|
2023-03-17T10:40:08.263634
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8490566038, "avg_line_length": 53, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "4f760bcb189164b0802906f8992805812c55f464", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "AlvinMrema/virus-cleanup-tool", "max_forks_repo_path": "flash-disk/consectetur-voluptatem-porro/Tempora/magnam.-quaerat-dolore.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "4f760bcb189164b0802906f8992805812c55f464", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "AlvinMrema/virus-cleanup-tool", "max_issues_repo_path": "flash-disk/consectetur-voluptatem-porro/Tempora/magnam.-quaerat-dolore.txt", "max_line_length": 53, "max_stars_count": null, "max_stars_repo_head_hexsha": "4f760bcb189164b0802906f8992805812c55f464", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "AlvinMrema/virus-cleanup-tool", "max_stars_repo_path": "flash-disk/consectetur-voluptatem-porro/Tempora/magnam.-quaerat-dolore.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 53}
| 2022-12-01T00:00:00 |
text
| 29 |
dpi_model(NAME jtag_proxy
SOURCES "proxy.cpp"
)
|
ea97469d62f1234da6b55f431b3ef74b90ca9d81
|
2023-03-17T10:20:50.218884
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6785714286, "avg_line_length": 14, "ext": "txt", "max_forks_count": 76, "max_forks_repo_forks_event_max_datetime": "2022-03-24T09:58:05.000Z", "max_forks_repo_forks_event_min_datetime": "2018-07-04T08:19:27.000Z", "max_forks_repo_head_hexsha": "6d255c70883cf157d76d006b2dbf55bc6974b21f", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "MIT-AI-Accelerator/gap_sdk", "max_forks_repo_path": "gvsoc/dpi-models/models/jtag/proxy/CMakeLists.txt", "max_issues_count": 213, "max_issues_repo_head_hexsha": "6d255c70883cf157d76d006b2dbf55bc6974b21f", "max_issues_repo_issues_event_max_datetime": "2022-03-30T18:04:01.000Z", "max_issues_repo_issues_event_min_datetime": "2018-07-25T02:37:32.000Z", "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "MIT-AI-Accelerator/gap_sdk", "max_issues_repo_path": "gvsoc/dpi-models/models/jtag/proxy/CMakeLists.txt", "max_line_length": 25, "max_stars_count": 118, "max_stars_repo_head_hexsha": "a3dedd5cd8a680a88d2dca2ab7a4ae65cebf4c8d", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "GreenWaves-Technologies/gap_sdk", "max_stars_repo_path": "gvsoc/dpi-models/models/jtag/proxy/CMakeLists.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:00:45.000Z", "max_stars_repo_stars_event_min_datetime": "2018-05-22T08:45:59.000Z", "size": 56}
| 2022-12-01T00:00:00 |
text
| 30 |
// ***************************************************************************
// *
// * Copyright (C) 2015 International Business Machines
// * Corporation and others. All Rights Reserved.
// * Tool: org.unicode.cldr.icu.NewLdml2IcuConverter
// * Source File: <path>/common/main/ur.xml
// *
// ***************************************************************************
ur{
Keys{
calendar{"کیلنڈر"}
colAlternate{"علامات کی چھٹائی نظرانداز کریں"}
colBackwards{"معکوس تلفظ کی چھٹائی"}
colCaseFirst{"بڑے حروف/ چھوٹے حروف کی ترتیب بندی"}
colCaseLevel{"حروف کے تئیں حساس چھٹائی"}
colHiraganaQuaternary{"Kena چھٹائی"}
colNormalization{"معمول کی چھٹائی"}
colNumeric{"عددی چھٹائی"}
colStrength{"چھٹائی کی قوت"}
collation{"چھٹائی کی ترتیب"}
currency{"کرنسی"}
hc{"گھنٹہ سائیکل (12 بنام 24)"}
lb{"لائن بریک انداز"}
ms{"پیمائش کا نظام"}
numbers{"اعداد"}
timezone{"منطقۂ وقت"}
va{"مقام کا متغیرہ"}
variableTop{"بطور علامات چھٹائی کریں"}
x{"نجی-استعمال"}
}
Languages{
ab{"ابقازیان"}
ach{"اکولی"}
af{"ایفریکانز"}
agq{"اغم"}
ak{"اکان"}
am{"امہاری"}
ar{"عربی"}
ar_001{"ماڈرن اسٹینڈرڈ عربی"}
arn{"ماپوچے"}
as{"آسامی"}
asa{"آسو"}
ay{"ایمارا"}
az{"آزربائیجانی"}
az_Arab{"جنوبی آزربائیجانی"}
ba{"باشکیر"}
be{"بیلاروسی"}
bem{"بیمبا"}
bez{"بینا"}
bg{"بلغاری"}
bgn{"مغربی بلوچی"}
bm{"بمبارا"}
bn{"بنگالی"}
bo{"تبتی"}
br{"بریٹن"}
brx{"بوڈو"}
bs{"بوسنی"}
ca{"کیٹالان"}
ce{"چیچن"}
cgg{"چیگا"}
chr{"چیروکی"}
ckb{"سورانی کردش"}
co{"کوراسیکن"}
cs{"چیک"}
cv{"چوواش"}
cy{"ویلش"}
da{"ڈینش"}
dav{"تائتا"}
de{"جرمن"}
de_AT{"آسٹریائی جرمن"}
de_CH{"سوئس ہائی جرمن"}
dje{"زرما"}
dsb{"ذیلی سربیائی"}
dua{"دوالا"}
dv{"ڈیویہی"}
dyo{"جولا فونيا"}
dz{"ژونگکھا"}
ebu{"امبو"}
ee{"ایو"}
efi{"ایفِک"}
el{"یونانی"}
en{"انگریزی"}
en_AU{"آسٹریلیائی انگریزی"}
en_CA{"کینیڈین انگریزی"}
en_GB{"برطانوی انگریزی"}
en_US{"امریکی انگریزی"}
eo{"ایسپرانٹو"}
es{"ہسپانوی"}
es_419{"لاطینی امریکی ہسپانوی"}
es_ES{"یورپی ہسپانوی"}
es_MX{"میکسیکن ہسپانوی"}
et{"اسٹونین"}
eu{"باسکی"}
fa{"فارسی"}
fi{"فینیش"}
fil{"فلیپینو"}
fj{"فجی"}
fo{"فیروئیز"}
fr{"فرانسیسی"}
fr_CA{"کینیڈین فرانسیسی"}
fr_CH{"سوئس فرینچ"}
fy{"مغربی فریسیئن"}
ga{"آئیرِش"}
gaa{"گا"}
gag{"غاغاوز"}
gd{"سکاٹ گیلِک"}
gl{"گالیشیائی"}
gn{"گُارانی"}
gsw{"سوئس جرمن"}
gu{"گجراتی"}
guz{"گسی"}
gv{"مینکس"}
ha{"ہؤسا"}
haw{"ہوائی"}
he{"عبرانی"}
hi{"ہندی"}
hr{"کراتی"}
hsb{"اپر سربیائی"}
ht{"ہیتی"}
hu{"ہنگیرین"}
hy{"ارمینی"}
ia{"بین لسانیات"}
id{"انڈونیثیائی"}
ig{"اِگبو"}
ii{"سچوان ای"}
is{"آئس لینڈک"}
it{"اطالوی"}
iu{"اینُکٹیٹٹ"}
ja{"جاپانی"}
jgo{"نگومبا"}
jmc{"ماشیم"}
jv{"جاوی"}
ka{"جارجی"}
kab{"قبائلی"}
kam{"کامبا"}
kde{"ماكونده"}
kea{"كابويرديانو"}
kg{"کانگو"}
khq{"كويرا شيني"}
ki{"کیکویو"}
kk{"قزاخ"}
kl{"كالاليست"}
kln{"كالينجين"}
km{"خمیر"}
kn{"کنّاڈا"}
ko{"کوریائی"}
koi{"کومی پرمیاک"}
kok{"کونکنی"}
ks{"کشمیری"}
ksb{"شامبالا"}
ksf{"بافيا"}
ku{"کردش"}
kw{"کورنش"}
ky{"کرغیزی"}
la{"لاطینی"}
lag{"لانگی"}
lb{"لگژمبرگش"}
lg{"گینڈا"}
lkt{"لاکوٹا"}
ln{"لِنگَلا"}
lo{"لاؤ"}
loz{"لوزی"}
lrc{"شمالی لری"}
lt{"لتھُواینین"}
lu{"لبا-كاتانجا"}
lua{"لیوبا لولوآ"}
luo{"لو"}
luy{"لویا"}
lv{"لیٹوین"}
mas{"ماسای"}
mer{"میرو"}
mfe{"موریسیین"}
mg{"ملاگاسی"}
mgh{"ماخاوا-ميتو"}
mgo{"میٹا"}
mi{"ماؤری"}
mk{"مقدونیائی"}
ml{"مالایالم"}
mn{"منگؤلی"}
moh{"موہاک"}
mr{"مراٹهی"}
ms{"مالائی"}
mt{"مالٹی"}
mua{"منڈانگ"}
my{"برمی"}
mzn{"مزندرانی"}
naq{"ناما"}
nb{"نارویجین بوکمل"}
nd{"شمالی دبیل"}
nds{"ادنی جرمن"}
nds_NL{"ادنی سیکسن"}
ne{"نیپالی"}
nl{"ڈچ"}
nl_BE{"فلیمِش"}
nmg{"كوايسو"}
nn{"نورویجینی نینورسک"}
no{"نارویجین"}
nqo{"اینکو"}
nso{"شمالی سوتھو"}
nus{"نویر"}
ny{"نیانجا"}
nyn{"نینکول"}
oc{"آكسیٹان"}
om{"اورومو"}
or{"اورِیا"}
os{"اوسیٹک"}
pa{"پنجابی"}
pl{"پولستانی"}
ps{"پشتو"}
pt{"پُرتگالی"}
pt_BR{"برازیلی پرتگالی"}
pt_PT{"یورپی پرتگالی"}
qu{"کویچوآ"}
quc{"كيشی"}
rm{"رومانش"}
rn{"رونڈی"}
ro{"رومینین"}
ro_MD{"مالدووا"}
rof{"رومبو"}
ru{"روسی"}
rw{"کینیاروانڈا"}
rwk{"روا"}
sa{"سَنسکرِت"}
saq{"سامبورو"}
sbp{"سانگو"}
sd{"سندھی"}
sdh{"جنوبی کرد"}
se{"شمالی سامی"}
seh{"سینا"}
ses{"كويرابورو سينی"}
sg{"ساںغو"}
sh{"سربو-کروئیشین"}
shi{"تشلحيت"}
si{"سنہالا"}
sk{"سلوواک"}
sl{"سلووینیائی"}
sm{"ساموآن"}
sma{"جنوبی سامی"}
smj{"لول سامی"}
smn{"اناری سامی"}
sms{"سکولٹ سامی"}
sn{"شونا"}
so{"صومالی"}
sq{"البانی"}
sr{"صربی"}
ss{"سواتی"}
st{"جنوبی سوتھو"}
su{"سنڈانیز"}
sv{"سویڈش"}
sw{"سواحلی"}
swc{"کانگو سواحلی"}
ta{"تمل"}
te{"تیلگو"}
teo{"تیسو"}
tet{"ٹیٹم"}
tg{"تاجک"}
th{"تھائی"}
ti{"ٹگرینیا"}
tk{"ترکمان"}
tlh{"کلنگن"}
tn{"سوانا"}
to{"ٹونگن"}
tpi{"ٹوک پِسِن"}
tr{"ترکی"}
ts{"زونگا"}
tt{"تاتار"}
tum{"ٹمبوکا"}
twq{"تاساواق"}
ty{"تاہیتی"}
tzm{"سینٹرل ایٹلس ٹمازائٹ"}
ug{"یوئگہر"}
uk{"یوکرینیائی"}
und{"نامعلوم زبان"}
ur{"اردو"}
uz{"ازبیک"}
vai{"وائی"}
ve{"وینڈا"}
vi{"ویتنامی"}
vun{"ونجو"}
wbp{"وارلپیری"}
wo{"وولوف"}
xh{"ژوسا"}
xog{"سوگا"}
yi{"یدش"}
yo{"یوروبا"}
zgh{"اسٹینڈرڈ مراقشی تمازیقی"}
zh{"چینی"}
zh_Hans{"چینی (آسان کردہ)"}
zh_Hant{"روایتی چینی"}
zu{"زولو"}
zxx{"کوئی لسانی مواد نہیں"}
}
Languages%short{
az{"ازیری"}
en_GB{"برطانوی انگلش"}
en_US{"امریکی انگلش"}
}
Scripts{
Arab{"عربی"}
Armn{"آرمینیائی"}
Beng{"بنگالی"}
Bopo{"بوپوموفو"}
Brai{"بریل"}
Cyrl{"سیریلک"}
Deva{"دیوناگری"}
Ethi{"ایتھوپیائی"}
Geor{"جارجیائی"}
Grek{"یونانی"}
Gujr{"گجراتی"}
Guru{"گرمکھی"}
Hang{"ہنگول"}
Hani{"ہان"}
Hans{"آسان"}
Hant{"روایتی"}
Hebr{"عبرانی"}
Hira{"ہیراگینا"}
Jpan{"جاپانی"}
Kana{"کٹاکانا"}
Khmr{"خمیر"}
Knda{"کنڑ"}
Kore{"کوریائی"}
Laoo{"لاؤ"}
Latn{"لاطینی"}
Mlym{"ملیالم"}
Mong{"منگولیائی"}
Mymr{"میانمار"}
Orya{"اڑیہ"}
Sinh{"سنہالا"}
Taml{"تمل"}
Telu{"تیلگو"}
Thaa{"تھانا"}
Thai{"تھائی"}
Tibt{"تبتی"}
Zsym{"علامات"}
Zxxx{"غیر تحریر شدہ"}
Zyyy{"عام"}
Zzzz{"نامعلوم رسم الخط"}
}
Scripts%stand-alone{
Hans{"آسان ہان"}
Hant{"روایتی ہان"}
}
Scripts%variant{
Arab{"فارسی عربی"}
}
Types{
calendar{
buddhist{"بودھ کلینڈر"}
chinese{"چینی کیلنڈر"}
coptic{"کاپٹک کیلنڈر"}
dangi{"ڈانگی کیلنڈر"}
ethiopic{"ایتھوپیائی کیلنڈر"}
ethiopic-amete-alem{"ایتھوپک امیٹ الیم کیلنڈر"}
gregorian{"جارجیائی کیلنڈر"}
hebrew{"عبرانی کیلنڈر"}
indian{"ہندوستانی قومی کیلنڈر"}
islamic{"اسلامی کیلنڈر"}
islamic-civil{"اسلامی شہری کیلنڈر"}
iso8601{"ISO-8601 کیلنڈر"}
japanese{"جاپانی کیلنڈر"}
persian{"فارسی کیلنڈر"}
roc{"منگوو کیلنڈر"}
}
colAlternate{
non-ignorable{"علامات کی چھٹائی کریں"}
shifted{"علامات کو نظرانداز کرکے چھٹائی کریں"}
}
colBackwards{
no{"لہجوں کی چھٹائی معمول کے انداز میں کریں"}
yes{"لہجوں کی معکوس چھٹائی کریں"}
}
colCaseFirst{
lower{"پہلے چھوٹے حروف کی چھٹائی کریں"}
no{"معمول کے حروف کی ترتیب کی چھٹائی کریں"}
upper{"پہلے بالائی حروف کی چھٹائی کریں"}
}
colCaseLevel{
no{"حروف کی عدم حساسیت کی چھٹائی کریں"}
yes{"حروف کے تئیں حساس کی چھٹائی کریں"}
}
colHiraganaQuaternary{
no{"Kana کی چھٹائی الگ الگ کریں"}
yes{"Kana کی مختلف طریقے سے چھٹائی کریں"}
}
colNormalization{
no{"حسب معمول بنائے بغیر چھٹائی کریں"}
yes{"معمول کے یونیکوڈ کی چھٹائی کریں"}
}
colNumeric{
no{"انفرادی طور پر ہندسوں کی چھٹائی کریں"}
yes{"اعداد کے لحاظ سے ہندسوں کی چھٹائی کریں"}
}
colStrength{
identical{"سبھی کی چھٹائی کریں"}
primary{"صرف اساسی حروف کی چھٹائی کریں"}
quaternary{"لہجہ/ بڑے چھوٹے حروف/چوڑائی/Kana کی چھٹائی کریں"}
secondary{"لہجوں کی چھٹائی کریں"}
tertiary{"لہجوں/حروف/چوڑائی کی چھٹائی کریں"}
}
collation{
big5han{"روایتی چینی کی چھٹائی کی ترتیب - Big5"}
dictionary{"لغت کی چھٹنی کی ترتیب"}
ducet{"ڈیفالٹ یونیکوڈ کی چھٹنی کی ترتیب"}
gb2312han{"آسان چینی کی چھٹائی کی ترتیب - GB2312"}
phonebook{"فون بک کی چھٹنی کی ترتیب"}
phonetic{"صوتی چھٹائی کی ترتیب"}
pinyin{"پن ین کی چھٹنی کی ترتیب"}
reformed{"دوبارہ تشکیل شدہ چھٹنی کی ترتیب"}
search{"عام-مقصد کی تلاش"}
searchjl{"Hangul Initial Consonant کے لحاظ سے تلاش کریں"}
standard{"معیاری چھنٹائی کی ترتیب"}
stroke{"سٹروک کی چھٹنی کی ترتیب"}
traditional{"روایتی چھٹنی کی ترتیب"}
unihan{"اساسی-سٹروک کی چھٹنی کی ترتیب"}
}
hc{
h11{"12 گھنٹے کا نظام (0–11)"}
h12{"12 گھنٹے کا نظام (1–12)"}
h23{"24 گھنٹے کا نظام (0–23)"}
h24{"24 گھنٹے کا نظام (1–24)"}
}
lb{
loose{"ڈھیلا لائن بریک انداز"}
normal{"عمومی لائن بریک انداز"}
strict{"سخت لائن بریک انداز"}
}
ms{
uksystem{"پیمائش کا امپیریل نظام"}
ussystem{"پیمائش کا برطانوی نظام"}
}
numbers{
arab{"عربی ہندی ہندسے"}
arabext{"توسیع شدہ عربی ہندی ہندسے"}
armn{"آرمینیائی اعداد"}
armnlow{"آرمینیائی زیریں اعداد"}
beng{"بنگالی ہندسے"}
deva{"دیوناگری ہندسے"}
ethi{"ایتھوپیائی اعداد"}
finance{"مالیاتی ہندسے"}
fullwide{"پورے عرض والے ہندسے"}
geor{"جارجیائی اعداد"}
grek{"یونانی اعداد"}
greklow{"یونانی زیریں اعداد"}
gujr{"گجراتی ہندسے"}
guru{"گرمکھی ہندسے"}
hanidec{"چینی اعشاری اعداد"}
hans{"آسان چینی اعداد"}
hansfin{"آسان چینی مالی اعداد"}
hant{"روایتی چینی اعداد"}
hantfin{"روایتی چینی مالی اعداد"}
hebr{"عبرانی اعداد"}
jpan{"جاپانی اعداد"}
jpanfin{"جاپانی مالی اعداد"}
khmr{"خمیر ہندسے"}
knda{"کنڑ ہندسے"}
laoo{"لاؤ ہندسے"}
latn{"مغربی ہندسے"}
mlym{"ملیالم ہندسے"}
mong{"منگولیائی ہندسے"}
mymr{"میانمار کے ہندسے"}
native{"اصل ہندسے"}
orya{"اڑیہ ہندسے"}
roman{"رومن اعداد"}
romanlow{"رومن زیریں اعداد"}
taml{"روایتی تمل اعداد"}
tamldec{"تمل اعداد"}
telu{"تیلگو ہندسے"}
thai{"تھائی ہندسے"}
tibt{"تبتی اعداد"}
traditional{"روایتی اعداد"}
vaii{"وائی ہندسے"}
}
}
Version{" |||IP_ADDRESS||| "}
codePatterns{
language{"زبان:{0}"}
script{"رسم الخط:{0}"}
territory{"خطہ:{0}"}
}
localeDisplayPattern{
keyTypePattern{"{0}: {1}"}
pattern{"{0} ({1})"}
separator{"{0}،{1}"}
}
}
|
2e62bbbb54c9980476a64751041a0c2ee9521951
|
2023-03-17T09:56:40.807627
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.4628514821, "avg_line_length": 27.0020576132, "ext": "txt", "max_forks_count": 5, "max_forks_repo_forks_event_max_datetime": "2022-03-31T21:48:49.000Z", "max_forks_repo_forks_event_min_datetime": "2017-11-30T06:06:50.000Z", "max_forks_repo_head_hexsha": "e5bbf05e3a01b449f33cca14c5ce8048df45624b", "max_forks_repo_licenses": ["Unlicense"], "max_forks_repo_name": "OpenSource-Infinix/android_external_crcalc", "max_forks_repo_path": "icu/icu4c/source/data/lang/ur.txt", "max_issues_count": 1, "max_issues_repo_head_hexsha": "e5bbf05e3a01b449f33cca14c5ce8048df45624b", "max_issues_repo_issues_event_max_datetime": "2017-11-29T16:01:48.000Z", "max_issues_repo_issues_event_min_datetime": "2017-06-18T00:25:03.000Z", "max_issues_repo_licenses": ["Unlicense"], "max_issues_repo_name": "OpenSource-Infinix/android_external_crcalc", "max_issues_repo_path": "icu/icu4c/source/data/lang/ur.txt", "max_line_length": 79, "max_stars_count": 4, "max_stars_repo_head_hexsha": "e5bbf05e3a01b449f33cca14c5ce8048df45624b", "max_stars_repo_licenses": ["Unlicense"], "max_stars_repo_name": "OpenSource-Infinix/android_external_crcalc", "max_stars_repo_path": "icu/icu4c/source/data/lang/ur.txt", "max_stars_repo_stars_event_max_datetime": "2021-08-21T07:36:37.000Z", "max_stars_repo_stars_event_min_datetime": "2019-10-18T05:53:30.000Z", "size": 13123}
| 2022-12-01T00:00:00 |
text
| 31 |
Netphos predictions for protein '143B_HUMAN' (threshold score is 0.8):
S at 59 in ARRSSWRVI with a score of 0.997
S at 64 in WRVISSIEQ with a score of 0.992
S at 157 in AFEISKKEM with a score of 0.943
S at 185 in EILNSPEKA with a score of 0.968
S at 211 in LNEESYKDS with a score of 0.998
T at 70 in IEQKTERNE with a score of 0.93
Y at 20 in QAERYDDMA with a score of 0.974
Y at 212 in NEESYKDST with a score of 0.991
Netphos predictions for protein '143E_HUMAN' (threshold score is 0.8):
S at 59 in ARRASWRII with a score of 0.996
S at 64 in WRIISSIEQ with a score of 0.983
S at 187 in EILNSPDRA with a score of 0.843
S at 210 in LDTLSEESY with a score of 0.956
S at 213 in LSEESYKDS with a score of 0.998
T at 38 in DVELTVEER with a score of 0.902
Y at 214 in SEESYKDST with a score of 0.993
Netphos predictions for protein '143F_HUMAN' (threshold score is 0.8):
S at 37 in NEPLSNEDR with a score of 0.984
S at 58 in ARRSSWRVI with a score of 0.997
S at 63 in WRVISSIEQ with a score of 0.992
S at 144 in EKKNSVVEA with a score of 0.993
S at 214 in LNEDSYKDS with a score of 0.998
Y at 19 in QAERYDDMA with a score of 0.974
Y at 116 in NDFQYESKV with a score of 0.877
Y at 153 in SEAAYKEAF with a score of 0.86
Y at 215 in NEDSYKDST with a score of 0.992
Netphos predictions for protein '143Z_HUMAN' (threshold score is 0.8):
S at 28 in ACMKSVTEQ with a score of 0.872
S at 58 in ARRSSWRVV with a score of 0.996
S at 63 in WRVVSSIEQ with a score of 0.995
S at 156 in AFEISKKEM with a score of 0.943
S at 184 in EILNSPEKA with a score of 0.968
S at 207 in LDTLSEESY with a score of 0.956
S at 210 in LSEESYKDS with a score of 0.998
T at 232 in WTSDTQGDE with a score of 0.865
Y at 19 in QAERYDDMA with a score of 0.974
Y at 211 in SEESYKDST with a score of 0.993
Netphos predictions for protein '2AAA_HUMAN' (threshold score is 0.8):
S at 30 in LRLNSIKKL with a score of 0.928
S at 35 in IKKLSTIAL with a score of 0.888
S at 110 in KAVESLRAI with a score of 0.84
S at 115 in LRAISHEHS with a score of 0.996
S at 119 in SHEHSPSDL with a score of 0.998
S at 145 in TSRTSACGL with a score of 0.992
S at 159 in PRVSSAVKA with a score of 0.861
S at 213 in SNLASDEQD with a score of 0.823
S at 218 in DEQDSVRLL with a score of 0.946
S at 302 in RAAASHKVK with a score of 0.923
S at 400 in IRQLSQSLL with a score of 0.949
T at 57 in FLTDTIYDE with a score of 0.845
T at 177 in CSDDTPMVR with a score of 0.846
Netphos predictions for protein '6PGD_HUMAN' (threshold score is 0.8):
S at 36 in NRTVSKVDD with a score of 0.997
S at 56 in VGAQSLKEM with a score of 0.988
S at 103 in DGGNSEYRD with a score of 0.974
S at 128 in GSGVSGGEE with a score of 0.9
S at 256 in KIRDSAGQK with a score of 0.955
S at 291 in RCLSSLKDE with a score of 0.996
S at 317 in GDKKSFLED with a score of 0.846
S at 396 in DFFKSAVEN with a score of 0.841
S at 404 in NCQDSWRRA with a score of 0.995
S at 410 in RRAVSTGVQ with a score of 0.87
S at 427 in TTALSFYDG with a score of 0.993
S at 478 in TVSSSSYNA with a score of 0.936
S at 479 in VSSSSYNA- with a score of 0.86
T at 108 in EYRDTTRRC with a score of 0.988
T at 109 in YRDTTRRCR with a score of 0.982
Y at 105 in GNSEYRDTT with a score of 0.836
Y at 191 in NGIEYGDMQ with a score of 0.834
Netphos predictions for protein 'A1A1_HUMAN' (threshold score is 0.8):
S at 40 in KKEVSMDDH with a score of 0.996
S at 47 in DHKLSLDEL with a score of 0.967
S at 65 in RGLTSARAA with a score of 0.968
S at 154 in QEAKSSKIM with a score of 0.986
S at 160 in KIMESFKNM with a score of 0.956
S at 222 in LTGESEPQT with a score of 0.811
S at 371 in LGSTSTICS with a score of 0.988
S at 407 in TENQSGVSF with a score of 0.885
S at 466 in LCCGSVKEM with a score of 0.95
S at 499 in NPNTSEPQH with a score of 0.812
S at 590 in VGLISMIDP with a score of 0.984
S at 943 in TRRNSVFQQ with a score of 0.996
T at 64 in SRGLTSARA with a score of 0.866
T at 81 in PNALTPPPT with a score of 0.903
T at 86 in PPPTTPEWI with a score of 0.898
T at 282 in EGGQTPIAA with a score of 0.903
Y at 10 in GRDKYEPAA with a score of 0.902
Y at 902 in VEDSYGQQW with a score of 0.857
Y at 1022 in EKETYY--- with a score of 0.917
Y at 1023 in KETYY---- with a score of 0.905
Netphos predictions for protein 'A1S1_HUMAN' (threshold score is 0.8):
S at 24 in YLATSDKER with a score of 0.99
S at 127 in VQDTSKKSV with a score of 0.944
S at 130 in TSKKSVLKA with a score of 0.892
S at 147 in EEDESPRSV with a score of 0.961
S at 150 in ESPRSVLEE with a score of 0.99
T at 126 in DVQDTSKKS with a score of 0.98
Netphos predictions for protein 'AAC1_HUMAN' (threshold score is 0.8):
S at 109 in VKLVSIGAE with a score of 0.847
S at 140 in IQDISVEET with a score of 0.995
S at 145 in VEETSAKEG with a score of 0.997
S at 172 in NFHISWKDG with a score of 0.996
S at 348 in KLRLSNRPA with a score of 0.996
S at 362 in GRMVSDINN with a score of 0.866
S at 404 in RQKASIHEA with a score of 0.849
S at 630 in QHNESVRKQ with a score of 0.969
S at 657 in IGRISIEMH with a score of 0.993
S at 763 in DRDHSGTLG with a score of 0.99
S at 797 in ARIMSIVDP with a score of 0.948
S at 817 in IDFMSRETA with a score of 0.889
T at 230 in DIVGTARPD with a score of 0.933
T at 490 in LGALTQKRR with a score of 0.862
T at 648 in PWIQTKMEE with a score of 0.984
Y at 4 in -MDHYDSQQ with a score of 0.933
Y at 161 in KTAPYKNVN with a score of 0.893
Y at 215 in VAEKYLDIP with a score of 0.968
Y at 279 in LMEDYEKLA with a score of 0.96
Y at 466 in NELDYYDSP with a score of 0.984
Y at 467 in ELDYYDSPS with a score of 0.901
Netphos predictions for protein 'AATM_HUMAN' (threshold score is 0.8):
S at 30 in SARASSWWT with a score of 0.954
S at 31 in ARASSWWTH with a score of 0.971
S at 57 in RDTNSKKMN with a score of 0.984
S at 79 in YVLPSVRKA with a score of 0.956
S at 306 in KRVESQLKI with a score of 0.869
S at 399 in IKEFSIYMT with a score of 0.817
S at 409 in DGRISVAGV with a score of 0.844
T at 131 in VTVQTISGT with a score of 0.927
Y at 420 in SNVGYLAHA with a score of 0.889
Netphos predictions for protein 'ACBP_HUMAN' (threshold score is 0.8):
S at 20 in KTKPSDEEM with a score of 0.992
S at 65 in LKGTSKEDA with a score of 0.997
T at 41 in GDINTERPG with a score of 0.889
T at 64 in ELKGTSKED with a score of 0.94
Netphos predictions for protein 'ACLY_HUMAN' (threshold score is 0.8):
S at 114 in FVPHSQAEE with a score of 0.977
S at 263 in KSGASLKLT with a score of 0.973
S at 451 in TPAPSRTAS with a score of 0.961
S at 455 in SRTASFSES with a score of 0.996
S at 457 in TASFSESRA with a score of 0.995
S at 459 in SFSESRADE with a score of 0.991
S at 481 in DSVPSPRSL with a score of 0.964
S at 577 in ASLRSAYDS with a score of 0.989
S at 581 in SAYDSTMET with a score of 0.995
S at 843 in SFMTSICDE with a score of 0.991
S at 979 in HRVKSINNP with a score of 0.989
S at 1016 in KITTSKKPN with a score of 0.961
T at 10 in ISEQTGKEL with a score of 0.991
T at 35 in YARVTPDTD with a score of 0.976
T at 291 in VYSDTICDL with a score of 0.829
T at 447 in GSTSTPAPS with a score of 0.816
T at 707 in RYQDTPGVK with a score of 0.957
T at 1015 in EKITTSKKP with a score of 0.972
Y at 16 in KELLYKFIC with a score of 0.876
Y at 31 in NRFKYARVT with a score of 0.841
Y at 120 in AEEFYVCIY with a score of 0.985
Y at 131 in REGDYVLFH with a score of 0.975
Y at 196 in YEDLYFTYL with a score of 0.93
Y at 252 in PEEAYIADL with a score of 0.94
Y at 517 in LDFDYVCSR with a score of 0.882
Y at 682 in TDGVYEGVA with a score of 0.823
Y at 854 in QELIYAGMP with a score of 0.93
Y at 1051 in EADEYIDIG with a score of 0.992
Y at 1093 in DDISYVLPE with a score of 0.842
Netphos predictions for protein 'ACPH_HUMAN' (threshold score is 0.8):
S at 8 in QVLLSEPEE with a score of 0.986
S at 94 in GELLSRESP with a score of 0.971
S at 97 in LSRESPSGS with a score of 0.995
S at 99 in RESPSGSMK with a score of 0.919
S at 101 in SPSGSMKAV with a score of 0.852
S at 136 in SFNLSVLEK with a score of 0.827
S at 156 in CLSWSHSET with a score of 0.959
S at 175 in PKAESFFQT with a score of 0.954
S at 185 in ALDVSASDD with a score of 0.994
S at 187 in DVSASDDEI with a score of 0.895
S at 235 in SGNISVLEG with a score of 0.931
S at 304 in LAVSSPRLS with a score of 0.962
S at 308 in SPRLSPDQC with a score of 0.995
S at 380 in VVFDSAQRS with a score of 0.848
S at 384 in SAQRSRQDL with a score of 0.99
S at 409 in GSGGSWKLL with a score of 0.813
S at 451 in VLWVSLEEA with a score of 0.991
S at 493 in LQPGSPPDK with a score of 0.905
S at 655 in MLDKSPIRY with a score of 0.97
S at 710 in THALSEVEV with a score of 0.987
S at 718 in VESDSFMNA with a score of 0.869
T at 37 in PEVTTQYGG with a score of 0.846
T at 51 in HTEWTQRDL with a score of 0.982
T at 276 in IRFCTNRRS with a score of 0.902
T at 393 in FAVDTQVGT with a score of 0.945
Y at 145 in HGPVYEDDC with a score of 0.835
Y at 284 in SALYYVDLI with a score of 0.881
Y at 479 in ENVQYAGLD with a score of 0.809
Netphos predictions for protein 'ACPM_HUMAN' (threshold score is 0.8):
S at 7 in SRVLSAYVS with a score of 0.984
Y at 155 in KKDVYE--- with a score of 0.946
Netphos predictions for protein 'ACTB_HUMAN' (threshold score is 0.8):
S at 52 in GQKDSYVGD with a score of 0.85
S at 60 in DEAQSKRGI with a score of 0.957
S at 199 in ERGYSFTTT with a score of 0.979
S at 232 in ATAASSSSL with a score of 0.828
S at 234 in AASSSSLEK with a score of 0.89
S at 235 in ASSSSLEKS with a score of 0.979
S at 239 in SLEKSYELP with a score of 0.989
S at 323 in ALAPSTMKI with a score of 0.811
T at 194 in MKILTERGY with a score of 0.804
T at 202 in YSFTTTAER with a score of 0.845
Y at 53 in QKDSYVGDE with a score of 0.926
Y at 218 in EKLCYVALD with a score of 0.894
Y at 294 in RKDLYANTV with a score of 0.982
Y at 362 in SKQEYDESG with a score of 0.979
Netphos predictions for protein 'ACTS_HUMAN' (threshold score is 0.8):
S at 54 in GQKDSYVGD with a score of 0.85
S at 62 in DEAQSKRGI with a score of 0.957
S at 201 in ERGYSFVTT with a score of 0.96
S at 234 in ATAASSSSL with a score of 0.828
S at 236 in AASSSSLEK with a score of 0.89
S at 237 in ASSSSLEKS with a score of 0.979
S at 241 in SLEKSYELP with a score of 0.989
S at 325 in ALAPSTMKI with a score of 0.811
T at 151 in SGRTTGIVL with a score of 0.851
T at 196 in MKILTERGY with a score of 0.804
Y at 55 in QKDSYVGDE with a score of 0.926
Y at 220 in EKLCYVALD with a score of 0.894
Y at 281 in HETTYNSIM with a score of 0.914
Y at 296 in RKDLYANNV with a score of 0.986
Y at 364 in TKQEYDEAG with a score of 0.914
Netphos predictions for protein 'ADDG_HUMAN' (threshold score is 0.8):
S at 6 in SSDASQGVI with a score of 0.888
S at 42 in ERNMSPDLR with a score of 0.969
S at 143 in CKLASLYRL with a score of 0.866
S at 162 in NTYISVRIS with a score of 0.85
S at 166 in SVRISKEQD with a score of 0.997
S at 180 in PRGLSFSEA with a score of 0.995
S at 214 in HTGFSPHAA with a score of 0.924
S at 242 in AAVSSMKCG with a score of 0.987
S at 251 in ILPISQESL with a score of 0.923
S at 268 in DYQGSLEEQ with a score of 0.975
S at 351 in TVAASGGGG with a score of 0.899
S at 402 in PRHKSDVEI with a score of 0.994
S at 414 in VTAFSFEDD with a score of 0.997
S at 461 in NGETSPRTK with a score of 0.991
S at 474 in KAEDSSKVS with a score of 0.98
S at 475 in AEDSSKVSG with a score of 0.824
S at 478 in SSKVSGGTP with a score of 0.907
S at 590 in DDASSVSQI with a score of 0.896
S at 621 in KSFISMEVP with a score of 0.964
S at 647 in AKRVSRLST with a score of 0.949
S at 650 in VSRLSTSTT with a score of 0.996
S at 664 in ITIKSPEKI with a score of 0.985
S at 673 in EEVLSPEGS with a score of 0.997
S at 677 in SPEGSPSKS with a score of 0.936
S at 679 in EGSPSKSPS with a score of 0.966
S at 681 in SPSKSPSKK with a score of 0.993
S at 683 in SKSPSKKKK with a score of 0.995
T at 12 in GVITTPPPP with a score of 0.86
Y at 35 in NDPEYIRER with a score of 0.957
Y at 446 in SPNTYMKVN with a score of 0.888
Netphos predictions for protein 'ADHX_HUMAN' (threshold score is 0.8):
S at 20 in GKPLSIEEI with a score of 0.997
S at 74 in GIVESVGEG with a score of 0.924
S at 296 in GVAASGEEI with a score of 0.984
S at 336 in SEYMSKKIK with a score of 0.834
S at 363 in ELMHSGKSI with a score of 0.987
S at 366 in HSGKSIRTV with a score of 0.851
T at 126 in MPDGTSRFT with a score of 0.918
T at 130 in TSRFTCKGK with a score of 0.835
T at 312 in VTGRTWKGT with a score of 0.849
Netphos predictions for protein 'AF6_HUMAN' (threshold score is 0.8):
S at 63 in CIRVSSTAT with a score of 0.978
S at 88 in RMLSSPKYS with a score of 0.969
S at 92 in SPKYSLYEV with a score of 0.923
S at 99 in EVHVSGERR with a score of 0.84
S at 161 in KRTLSKKEK with a score of 0.998
S at 180 in LRQASDKDD with a score of 0.998
S at 209 in MPETSFTRT with a score of 0.86
S at 239 in EFRSSDGRP with a score of 0.995
S at 245 in GRPDSGGTL with a score of 0.986
S at 255 in IYADSLKPN with a score of 0.873
S at 268 in TILLSTTDP with a score of 0.986
S at 308 in GAQHSDEKG with a score of 0.97
S at 333 in REWPSDKGI with a score of 0.817
S at 390 in LVELSPDGS with a score of 0.949
S at 394 in SPDGSDSRD with a score of 0.933
S at 396 in DGSDSRDKP with a score of 0.946
S at 449 in VTPRSMDAE with a score of 0.967
S at 533 in ALPTSKSTT with a score of 0.985
S at 535 in PTSKSTTRL with a score of 0.905
S at 541 in TRLDSDRVS with a score of 0.996
S at 545 in SDRVSSASS with a score of 0.987
S at 546 in DRVSSASST with a score of 0.993
S at 548 in VSSASSTAE with a score of 0.985
S at 549 in SSASSTAER with a score of 0.939
S at 573 in RRQESRTQD with a score of 0.981
S at 579 in TQDASGPEL with a score of 0.965
S at 594 in EFRESSEDS with a score of 0.998
S at 639 in RPDISPTER with a score of 0.981
S at 656 in NKMVSMMEG with a score of 0.982
S at 693 in DRDLSRITL with a score of 0.961
S at 900 in ELARSDGRE with a score of 0.981
S at 1053 in LVGLSQERA with a score of 0.989
S at 1066 in TRTSSVVTL with a score of 0.966
S at 1097 in MQRISDRRG with a score of 0.996
S at 1102 in DRRGSGKPR with a score of 0.998
S at 1109 in PRPKSEGFE with a score of 0.993
S at 1123 in TQNGSPESP with a score of 0.985
S at 1156 in DHRSSPNVA with a score of 0.964
S at 1165 in NQPPSPGGK with a score of 0.973
S at 1174 in SAYASGTTA with a score of 0.817
S at 1184 in ITSVSTGNL with a score of 0.888
S at 1219 in TFPASKSQD with a score of 0.937
S at 1248 in DSNHSSIAI with a score of 0.941
S at 1258 in RVTRSQEEL with a score of 0.995
S at 1283 in MDRKSDSDM with a score of 0.997
S at 1294 in NQSSSLDSS with a score of 0.896
S at 1297 in SSLDSSTSS with a score of 0.929
S at 1298 in SLDSSTSSQ with a score of 0.99
S at 1300 in DSSTSSQEH with a score of 0.957
S at 1301 in SSTSSQEHL with a score of 0.93
S at 1308 in HLNHSSKSV with a score of 0.872
S at 1311 in HSSKSVTPA with a score of 0.917
S at 1484 in YITVSKEEL with a score of 0.976
S at 1489 in KEELSSGDS with a score of 0.996
S at 1493 in SSGDSLSPD with a score of 0.865
S at 1495 in GDSLSPDPW with a score of 0.939
S at 1520 in VDMLSKEIQ with a score of 0.971
S at 1528 in QELQSKPDR with a score of 0.974
S at 1533 in KPDRSAEES with a score of 0.997
S at 1537 in SAEESDRLR with a score of 0.856
S at 1641 in EGYYSRLEA with a score of 0.924
S at 1679 in YEPPSPSPA with a score of 0.994
S at 1696 in QRNASYLKT with a score of 0.94
S at 1704 in TQVLSPDSL with a score of 0.94
S at 1734 in QDKYSSTRK with a score of 0.889
S at 1735 in DKYSSTRKS with a score of 0.966
S at 1739 in STRKSHGDL with a score of 0.998
S at 1774 in FQPPSAKAN with a score of 0.94
S at 1795 in PKKSSSYHP with a score of 0.812
S at 1796 in KKSSSYHPS with a score of 0.98
T at 354 in IPKKTKKHL with a score of 0.833
T at 362 in LEGKTPKGK with a score of 0.941
T at 446 in VVTVTPRSM with a score of 0.831
T at 644 in PTERTHKVI with a score of 0.804
T at 893 in VAENTADEL with a score of 0.957
T at 1194 in TEEQTPPPR with a score of 0.931
T at 1625 in EEERTKRDA with a score of 0.986
Y at 91 in SSPKYSLYE with a score of 0.845
Y at 202 in AAEVYKDMP with a score of 0.974
Y at 455 in DAETYVEGQ with a score of 0.961
Y at 842 in TMDKYAPDD with a score of 0.922
Y at 924 in PEDGYSCDV with a score of 0.95
Y at 970 in EGADYESHL with a score of 0.942
Y at 1172 in GKSAYASGT with a score of 0.817
Y at 1235 in QWPNYEEKP with a score of 0.901
Y at 1480 in RDLQYITVS with a score of 0.851
Y at 1639 in QEEGYYSRL with a score of 0.937
Y at 1640 in EEGYYSRLE with a score of 0.945
Y at 1733 in GQDKYSSTR with a score of 0.904
Netphos predictions for protein 'AKA1_HUMAN' (threshold score is 0.8):
S at 176 in LSVASVRPA with a score of 0.97
S at 215 in PLGSSDRAW with a score of 0.857
S at 263 in CIPKSITPS with a score of 0.901
S at 281 in DFTFSPEEM with a score of 0.997
Y at 324 in FNDPY---- with a score of 0.92
Netphos predictions for protein 'ALBU_HUMAN' (threshold score is 0.8):
S at 18 in SSAYSRGVF with a score of 0.862
S at 29 in DAHKSEVAH with a score of 0.929
S at 217 in GKASSAKQR with a score of 0.892
S at 244 in VARLSQRFP with a score of 0.995
S at 296 in QDSISSKLK with a score of 0.835
S at 494 in KTPVSDRVT with a score of 0.992
S at 541 in ICTLSEKER with a score of 0.968
T at 103 in CTVATLRET with a score of 0.984
T at 436 in LVRYTKKVP with a score of 0.899
T at 446 in VSTPTLVEV with a score of 0.845
T at 491 in LHEKTPVSD with a score of 0.876
Y at 365 in RHPDYSVVL with a score of 0.865
Y at 476 in CAEDYLSVV with a score of 0.952
Y at 521 in VDETYVPKE with a score of 0.91
Netphos predictions for protein 'ALFA_HUMAN' (threshold score is 0.8):
S at 16 in KKELSDIAH with a score of 0.928
S at 131 in LDGLSERCA with a score of 0.809
S at 244 in TQKFSHEEI with a score of 0.987
S at 275 in SGGQSEEEA with a score of 0.993
T at 8 in YPALTPEQK with a score of 0.957
Y at 84 in HETLYQKAD with a score of 0.921
Y at 327 in AQEEYVKRA with a score of 0.947
Y at 342 in CQGKYTPSG with a score of 0.824
Netphos predictions for protein 'AMPL_HUMAN' (threshold score is 0.8):
S at 107 in LELSSVEVD with a score of 0.944
S at 195 in LKSASSKTE with a score of 0.919
S at 196 in KSASSKTEV with a score of 0.976
S at 206 in IRPKSWIEE with a score of 0.995
S at 223 in VAKGSDEPP with a score of 0.973
S at 260 in SGGISIKAS with a score of 0.98
S at 390 in LFEASIETG with a score of 0.931
S at 483 in LLRFSQDNA with a score of 0.946
T at 279 in GGAATICSA with a score of 0.805
T at 455 in AGVMTNKDE with a score of 0.902
T at 468 in RKGMTGRPT with a score of 0.966
T at 474 in RPTRTLIEF with a score of 0.808
Y at 462 in DEVPYLRKG with a score of 0.958
Netphos predictions for protein 'ANXB_HUMAN' (threshold score is 0.8):
S at 119 in SRMPSYPPY with a score of 0.923
S at 303 in LASRSNEHI with a score of 0.918
S at 331 in RSDTSGHFQ with a score of 0.99
S at 349 in NRDESTNVD with a score of 0.959
S at 409 in DIEKSICRE with a score of 0.881
S at 415 in CREMSGDLE with a score of 0.932
S at 460 in RIMVSRSET with a score of 0.995
S at 462 in MVSRSETDL with a score of 0.995
T at 193 in GSRGTITDA with a score of 0.948
T at 330 in IRSDTSGHF with a score of 0.883
T at 402 in YQRMTGRDI with a score of 0.97
T at 449 in RGAGTKDRT with a score of 0.972
Y at 482 in GKSLYHDIS with a score of 0.87
Netphos predictions for protein 'AR16_HUMAN' (threshold score is 0.8):
S at 8 in NTVSSARFR with a score of 0.894
S at 85 in KVLISFKAN with a score of 0.871
S at 116 in KGFESPSDN with a score of 0.996
T at 66 in PPINTKSQA with a score of 0.867
T at 146 in VRVLTARKT with a score of 0.991
Y at 19 in DVDEYDENK with a score of 0.948
Netphos predictions for protein 'AR21_HUMAN' (threshold score is 0.8):
S at 89 in CNSKSQGEK with a score of 0.987
S at 174 in NKSLSGPGQ with a score of 0.948
T at 36 in APRETKDTD with a score of 0.888
Y at 4 in -MPAYHSSL with a score of 0.919
Y at 47 in DEAIYYFKA with a score of 0.833
Netphos predictions for protein 'AR34_HUMAN' (threshold score is 0.8):
S at 105 in NLPASKDSI with a score of 0.803
S at 156 in MYVESKKDR with a score of 0.994
S at 192 in GRRASHTAP with a score of 0.992
S at 201 in QVLFSHREP with a score of 0.995
S at 235 in HTNASARDN with a score of 0.996
Y at 91 in PESGYNVSL with a score of 0.847
Y at 153 in DETMYVESK with a score of 0.984
Netphos predictions for protein 'AR72_HUMAN' (threshold score is 0.8):
S at 84 in WDGKSLKPD with a score of 0.855
S at 89 in LKPDSVRSQ with a score of 0.994
S at 92 in DSVRSQLET with a score of 0.989
S at 97 in QLETSLKRL with a score of 0.983
S at 146 in SNYASWEVA with a score of 0.94
S at 226 in FFGNSWAET with a score of 0.962
S at 261 in ASAPSVTSA with a score of 0.922
S at 290 in LGMSSLEQL with a score of 0.903
T at 118 in PDHGTPVEE with a score of 0.985
T at 230 in SWAETYRNR with a score of 0.843
Y at 210 in GKYKYEDKD with a score of 0.951
Netphos predictions for protein 'ARF3_HUMAN' (threshold score is 0.8):
Y at 57 in ETVEYKNIS with a score of 0.936
Netphos predictions for protein 'ARF5_HUMAN' (threshold score is 0.8):
S at 102 in RVQESADEL with a score of 0.898
Y at 57 in ETVEYKNIC with a score of 0.95
Y at 153 in SRTWYVQAT with a score of 0.881
Netphos predictions for protein 'ARLY_HUMAN' (threshold score is 0.8):
S at 46 in SKAYSRGLE with a score of 0.864
S at 83 in FKLNSNDED with a score of 0.849
S at 112 in HTGRSRNDQ with a score of 0.953
S at 184 in LTRDSERLL with a score of 0.991
S at 234 in MDATSERDF with a score of 0.997
S at 292 in KNPDSLELI with a score of 0.977
S at 446 in GTARSSVDW with a score of 0.892
S at 447 in TARSSVDWQ with a score of 0.992
T at 128 in WMRQTCSTL with a score of 0.841
Y at 437 in SVEQYGALG with a score of 0.818
Netphos predictions for protein 'ARME_HUMAN' (threshold score is 0.8):
S at 49 in DVTFSPATI with a score of 0.833
S at 111 in KKKDSQICE with a score of 0.928
S at 125 in QIDLSTVDL with a score of 0.995
T at 147 in DWGETCKGC with a score of 0.8
Y at 157 in EKSDYIRKI with a score of 0.959
Y at 168 in LMPKYAPKA with a score of 0.846
Netphos predictions for protein 'ARP2_HUMAN' (threshold score is 0.8):
T at 44 in IIRSTTKVG with a score of 0.953
T at 45 in IRSTTKVGN with a score of 0.904
T at 179 in LPHLTRRLD with a score of 0.853
Y at 222 in EKLCYVGYN with a score of 0.812
Netphos predictions for protein 'ARP3_HUMAN' (threshold score is 0.8):
S at 40 in AIKESAKVG with a score of 0.978
S at 220 in PPEQSLETA with a score of 0.805
S at 232 in KERYSYVCP with a score of 0.99
S at 263 in INAISKKEF with a score of 0.992
S at 268 in KKEFSIDVG with a score of 0.811
S at 322 in NIVLSGGST with a score of 0.838
S at 350 in RLKLSEELS with a score of 0.893
S at 354 in SEELSGGRL with a score of 0.893
Y at 16 in CGTGYTKLG with a score of 0.898
Y at 72 in EKPTYATKW with a score of 0.965
Y at 109 in PEDHYFLLT with a score of 0.879
Y at 184 in VAEGYVIGS with a score of 0.856
Y at 231 in VKERYSYVC with a score of 0.844
Y at 233 in ERYSYVCPD with a score of 0.871
Y at 316 in RRPLYKNIV with a score of 0.87
Y at 400 in TKKDYEEIG with a score of 0.973
Netphos predictions for protein 'ARR1_HUMAN' (threshold score is 0.8):
S at 163 in HKRNSVRLV with a score of 0.984
S at 193 in QFLMSDKPL with a score of 0.976
S at 234 in KIKISVRQY with a score of 0.922
S at 266 in VAPSSTFCK with a score of 0.812
T at 136 in GPEDTGKAC with a score of 0.944
T at 186 in PTAETTRQF with a score of 0.966
T at 275 in VYTLTPFLA with a score of 0.81
T at 370 in PENETPVDT with a score of 0.97
Y at 144 in CGVDYEVKA with a score of 0.906
Netphos predictions for protein 'ATA2_HUMAN' (threshold score is 0.8):
S at 136 in QDRKSVQRI with a score of 0.997
S at 167 in IRLTSIKST with a score of 0.996
S at 186 in GESVSVIKH with a score of 0.928
S at 287 in VHGGSWIRG with a score of 0.921
S at 346 in LGCTSVICS with a score of 0.897
S at 362 in TNQMSVCRM with a score of 0.956
S at 463 in LKGLSKIER with a score of 0.918
S at 493 in RDRKSMSVY with a score of 0.994
S at 495 in RKSMSVYCT with a score of 0.994
S at 507 in PSRTSMSKM with a score of 0.995
S at 531 in IRVGSTKVP with a score of 0.869
S at 546 in QKIMSVIRE with a score of 0.836
S at 553 in REWGSGSDT with a score of 0.992
S at 609 in EVASSVKLC with a score of 0.977
S at 681 in RVEPSHKSK with a score of 0.954
S at 865 in GPRVSFYQL with a score of 0.873
T at 166 in DIRLTSIKS with a score of 0.813
T at 172 in IKSTTLRVD with a score of 0.936
T at 557 in SGSDTLRCL with a score of 0.869
T at 648 in DEDVTSKAF with a score of 0.862
T at 653 in SKAFTGREF with a score of 0.951
Y at 434 in AKGVYEKVG with a score of 0.941
Y at 497 in SMSVYCTPN with a score of 0.886
Netphos predictions for protein 'ATA3_HUMAN' (threshold score is 0.8):
S at 43 in NELPSEEGK with a score of 0.969
S at 48 in EEGKSLWEL with a score of 0.961
S at 114 in RNAESAIEA with a score of 0.953
S at 132 in KVIRSDRKG with a score of 0.952
S at 184 in LTGESVSVT with a score of 0.929
S at 186 in GESVSVTKH with a score of 0.939
S at 346 in LGCTSVICS with a score of 0.897
S at 362 in TNQMSVCRM with a score of 0.956
S at 493 in RDRKSMSVY with a score of 0.994
S at 495 in RKSMSVYCT with a score of 0.994
S at 520 in GAPESVIER with a score of 0.967
S at 527 in ERCSSVRVG with a score of 0.992
S at 532 in VRVGSRTAP with a score of 0.957
S at 541 in LTPTSREQI with a score of 0.939
S at 554 in RDWGSGSDT with a score of 0.991
S at 662 in FDDLSPEQQ with a score of 0.995
S at 729 in AVAKSAAEM with a score of 0.98
S at 823 in KLPRSPREA with a score of 0.998
S at 1037 in NRVESPVCT with a score of 0.996
T at 172 in IKSTTLRVD with a score of 0.936
T at 390 in GTTYTPEGE with a score of 0.865
T at 540 in PLTPTSREQ with a score of 0.887
T at 558 in SGSDTLRCL with a score of 0.869
T at 645 in IFGDTEDVA with a score of 0.871
T at 654 in GKAYTGREF with a score of 0.951
Y at 434 in AKGVYEKVG with a score of 0.941
Y at 497 in SMSVYCTPT with a score of 0.82
Netphos predictions for protein 'ATPA_HUMAN' (threshold score is 0.8):
S at 53 in AEMSSILEE with a score of 0.97
S at 76 in GRVLSIGDG with a score of 0.997
S at 184 in IPRISVREP with a score of 0.998
S at 236 in FNDGSDEKK with a score of 0.872
S at 295 in YSGCSMGEY with a score of 0.942
S at 387 in TNVISITDG with a score of 0.877
S at 413 in NVGLSVSRV with a score of 0.901
S at 419 in SRVGSAAQT with a score of 0.855
S at 477 in QGQYSPMAI with a score of 0.98
T at 64 in LGADTSVDL with a score of 0.937
T at 71 in DLEETGRVL with a score of 0.935
T at 168 in IGSKTRRRV with a score of 0.887
T at 216 in GDRQTGKTS with a score of 0.921
Y at 299 in SMGEYFRDN with a score of 0.852
Netphos predictions for protein 'ATPB_HUMAN' (threshold score is 0.8):
S at 53 in QTSPSPKAG with a score of 0.997
S at 405 in LDSTSRIMD with a score of 0.863
S at 433 in QDYKSLQDI with a score of 0.933
S at 447 in MDELSEEDK with a score of 0.996
S at 465 in QRFLSQPFQ with a score of 0.959
T at 21 in LRRLTPSAS with a score of 0.982
T at 50 in YAAQTSPSP with a score of 0.853
T at 348 in ERITTTKKG with a score of 0.989
T at 349 in RITTTKKGS with a score of 0.965
Y at 247 in GNDLYHEMI with a score of 0.86
Netphos predictions for protein 'ATPK_HUMAN' (threshold score is 0.8):
S at 35 in MRDFSPSGI with a score of 0.99
S at 37 in DFSPSGIFG with a score of 0.881
S at 80 in SYSFSYKHL with a score of 0.889
Y at 54 in YYNKYINVK with a score of 0.919
Netphos predictions for protein 'ATPO_HUMAN' (threshold score is 0.8):
S at 19 in CFSTSVVRP with a score of 0.936
S at 86 in YVKRSIKVK with a score of 0.944
S at 91 in IKVKSLNDI with a score of 0.984
S at 102 in KERFSPLTT with a score of 0.985
S at 119 in NGRLSNTQG with a score of 0.985
S at 129 in VSAFSTMMS with a score of 0.834
S at 133 in STMMSVHRG with a score of 0.972
S at 147 in VTSASPLEE with a score of 0.994
S at 197 in YVDMSVKTK with a score of 0.977
Y at 193 in IGEKYVDMS with a score of 0.982
Netphos predictions for protein 'ATPR_HUMAN' (threshold score is 0.8):
S at 18 in RSAVSVHLR with a score of 0.851
S at 52 in REYKSKRQT with a score of 0.995
S at 57 in KRQTSGGPV with a score of 0.992
S at 65 in VDASSEYQQ with a score of 0.986
T at 56 in SKRQTSGGP with a score of 0.955
Netphos predictions for protein 'BA31_HUMAN' (threshold score is 0.8):
S at 141 in KQAESASEA with a score of 0.994
S at 182 in EENRSLKAD with a score of 0.97
S at 196 in DELASTKQK with a score of 0.956
S at 215 in MRKQSEGLT with a score of 0.975
Netphos predictions for protein 'BAXD_HUMAN' (threshold score is 0.8):
S at 15 in GGPTSSEQI with a score of 0.885
S at 38 in VDTDSPREV with a score of 0.996
Netphos predictions for protein 'BGAL_HUMAN' (threshold score is 0.8):
S at 40 in YSRDSFLKD with a score of 0.975
S at 150 in LLRSSDPDY with a score of 0.996
S at 292 in AVASSLYDI with a score of 0.984
S at 532 in GHRDSGHHD with a score of 0.9
S at 627 in WAPCSSDDP with a score of 0.825
S at 672 in KNKDSWLDH with a score of 0.99
T at 28 in LRNATQRMF with a score of 0.824
T at 283 in QPHSTIKTE with a score of 0.842
T at 369 in IPPSTPKFA with a score of 0.964
Y at 36 in FEIDYSRDS with a score of 0.867
Y at 154 in SDPDYLAAV with a score of 0.962
Y at 199 in CDFDYLRFL with a score of 0.847
Y at 316 in TNFAYWNGA with a score of 0.812
Y at 444 in HDRAYVAVD with a score of 0.837
Netphos predictions for protein 'BLMH_HUMAN' (threshold score is 0.8):
S at 8 in SGLNSEKVA with a score of 0.964
S at 70 in NQKSSGRCW with a score of 0.984
S at 206 in KGEISATQD with a score of 0.863
S at 315 in MVAASIKDG with a score of 0.998
S at 380 in FTAVSEKDD with a score of 0.997
S at 397 in RVENSWGED with a score of 0.873
T at 249 in IGPITPLEF with a score of 0.895
T at 298 in GGRKTLYNN with a score of 0.816
T at 364 in AERLTFGES with a score of 0.813
Y at 169 in FPESYTTEA with a score of 0.858
Y at 300 in RKTLYNNQP with a score of 0.919
Y at 420 in SEYVYEVVV with a score of 0.889
Netphos predictions for protein 'C141_HUMAN' (threshold score is 0.8):
Netphos predictions for protein 'C5P3_HUMAN' (threshold score is 0.8):
S at 27 in RRHCSLKWQ with a score of 0.978
S at 81 in GTEASTKNI with a score of 0.969
S at 90 in FGRYSSQRM with a score of 0.938
S at 91 in GRYSSQRMK with a score of 0.992
S at 144 in QQEYSRKEE with a score of 0.994
S at 164 in QFYHSCKQY with a score of 0.916
S at 218 in FVCESPTEQ with a score of 0.985
S at 248 in GTEPSVVER with a score of 0.94
S at 278 in VEAVSEGTD with a score of 0.847
S at 283 in EGTDSGISA with a score of 0.964
S at 286 in DSGISAEAA with a score of 0.988
S at 300 in IFPESDSKD with a score of 0.906
S at 372 in AVELSEEAD with a score of 0.988
S at 491 in EADISKRYS with a score of 0.842
S at 495 in SKRYSGRPV with a score of 0.985
T at 13 in IDIQTSKLL with a score of 0.908
T at 36 in SLVLTIREK with a score of 0.958
T at 245 in WRTGTEPSV with a score of 0.884
Y at 124 in RNVNYEIPS with a score of 0.839
Y at 429 in ASPRYVDRV with a score of 0.934
Netphos predictions for protein 'CA00_HUMAN' (threshold score is 0.8):
S at 78 in FHLASPEGK with a score of 0.941
S at 91 in EQRKSDGVH with a score of 0.987
S at 116 in FSTISEKVI with a score of 0.955
S at 168 in KSRLSKSGH with a score of 0.997
S at 190 in NIQESNFDR with a score of 0.968
S at 227 in DKRKSRT-- with a score of 0.992
T at 99 in HTVETEVGD with a score of 0.829
Netphos predictions for protein 'CACP_HUMAN' (threshold score is 0.8):
S at 59 in QPIVSEEEW with a score of 0.972
S at 76 in EFQASGGVG with a score of 0.808
S at 194 in VSNFSKTKK with a score of 0.953
S at 258 in NHRNSWAKA with a score of 0.991
S at 275 in VNRDSVRSI with a score of 0.994
S at 278 in DSVRSIQKS with a score of 0.801
S at 296 in MPRVSEDVY with a score of 0.992
S at 318 in SRLNSGNRW with a score of 0.939
S at 391 in PEIKSDIEK with a score of 0.968
S at 424 in DFPKSEKLS with a score of 0.994
S at 428 in SEKLSPDAF with a score of 0.983
S at 456 in YESASLRMF with a score of 0.963
S at 472 in IRSASMDSL with a score of 0.99
S at 486 in MDDSSVTEH with a score of 0.984
S at 533 in EDLVSTPDI with a score of 0.987
S at 590 in NFSLSAYNS with a score of 0.971
T at 94 in RARKTENWL with a score of 0.849
T at 196 in NFSKTKKPP with a score of 0.848
T at 243 in SSLQTNKEP with a score of 0.941
T at 362 in VIEYTKKPE with a score of 0.915
T at 467 in GRTDTIRSA with a score of 0.993
T at 534 in DLVSTPDIF with a score of 0.817
Y at 217 in ELDVYHSDG with a score of 0.805
Y at 300 in SEDVYRSHV with a score of 0.967
Netphos predictions for protein 'CALD_HUMAN' (threshold score is 0.8):
S at 73 in NAQNSVPDE with a score of 0.988
S at 153 in KEEKSESRQ with a score of 0.995
S at 155 in EKSESRQER with a score of 0.958
S at 202 in PKRGSIGEN with a score of 0.996
S at 219 in KTTESQEET with a score of 0.997
S at 227 in TVVMSLKNG with a score of 0.96
S at 234 in NGQISSEEP with a score of 0.997
S at 248 in REQGSDEIS with a score of 0.84
S at 252 in SDEISHHEK with a score of 0.952
S at 480 in EEVKSFMDR with a score of 0.991
S at 518 in GGRASVDTK with a score of 0.881
S at 548 in GETESEEFE with a score of 0.987
S at 643 in PKGSSLKIE with a score of 0.987
S at 665 in SGVKSTHQA with a score of 0.919
S at 673 in AAIVSKIDS with a score of 0.926
S at 677 in SKIDSRLEQ with a score of 0.888
S at 684 in EQYTSAIEG with a score of 0.88
S at 691 in EGTKSAKPT with a score of 0.995
S at 724 in NVFSSPTAA with a score of 0.884
S at 759 in DGNKSPAPK with a score of 0.804
S at 773 in PGDVSSKRN with a score of 0.994
T at 86 in TTTNTQVEG with a score of 0.802
T at 147 in ENETTEKEE with a score of 0.99
T at 546 in RRGETESEE with a score of 0.983
T at 638 in FKCFTPKGS with a score of 0.822
T at 730 in TAAGTPNKE with a score of 0.847
Y at 160 in RQERYEIEE with a score of 0.829
Netphos predictions for protein 'CALM_HUMAN' (threshold score is 0.8):
S at 17 in KEAFSLFDK with a score of 0.992
S at 81 in KDTDSEEEI with a score of 0.997
S at 101 in NGYISAAEL with a score of 0.918
T at 28 in DGTITTKEL with a score of 0.98
Y at 99 in DGNGYISAA with a score of 0.934
Netphos predictions for protein 'CALU_HUMAN' (threshold score is 0.8):
S at 69 in TPEESKERL with a score of 0.941
S at 78 in GKIVSKIDG with a score of 0.976
S at 125 in DGLVSWEEY with a score of 0.997
S at 261 in WILPSDYDH with a score of 0.899
T at 65 in FDQLTPEES with a score of 0.881
T at 89 in DGFVTVDEL with a score of 0.891
T at 232 in EWVKTEREQ with a score of 0.977
Y at 106 in KRWIYEDVE with a score of 0.866
Y at 129 in SWEEYKNAT with a score of 0.984
Y at 185 in HPEEYDYMK with a score of 0.882
Y at 187 in EEYDYMKDI with a score of 0.815
Netphos predictions for protein 'CALX_HUMAN' (threshold score is 0.8):
S at 45 in EVEDSKPDT with a score of 0.994
S at 55 in APPSSPKVT with a score of 0.997
S at 132 in HHAISAKLN with a score of 0.963
S at 273 in PVNPSREIE with a score of 0.868
S at 420 in MTPFSAIGL with a score of 0.9
S at 510 in KKQTSGMEY with a score of 0.996
S at 554 in EKQKSDAEE with a score of 0.995
S at 564 in GGTVSQEEE with a score of 0.995
S at 583 in ILNRSPRNR with a score of 0.979
T at 318 in DEEATKPEG with a score of 0.841
T at 417 in PFRMTPFSA with a score of 0.987
Y at 185 in DKTPYTIMF with a score of 0.901
Y at 330 in DEPEYVPDP with a score of 0.987
Y at 393 in DNPSYQGIW with a score of 0.856
Netphos predictions for protein 'CANS_HUMAN' (threshold score is 0.8):
S at 218 in IRRYSDESG with a score of 0.997
S at 221 in YSDESGNMD with a score of 0.969
T at 143 in FGIDTCRSM with a score of 0.811
T at 156 in DSDTTGKLG with a score of 0.853
T at 188 in DRSGTICSS with a score of 0.937
Y at 87 in PRTHYSNIE with a score of 0.812
Y at 166 in EEFKYLWNN with a score of 0.979
Netphos predictions for protein 'CAP1_HUMAN' (threshold score is 0.8):
S at 22 in LEAVSHTSD with a score of 0.937
S at 34 in GYADSPSKA with a score of 0.868
S at 243 in PPPVSTSSG with a score of 0.899
S at 245 in PVSTSSGSD with a score of 0.896
S at 246 in VSTSSGSDE with a score of 0.995
S at 248 in TSSGSDESA with a score of 0.993
S at 251 in GSDESASRS with a score of 0.976
S at 253 in DESASRSAL with a score of 0.954
S at 308 in KPQTSPSPK with a score of 0.99
S at 310 in QTSPSPKRA with a score of 0.998
S at 431 in CEIVSAKSS with a score of 0.942
S at 434 in VSAKSSEMN with a score of 0.996
T at 117 in KEVITFREK with a score of 0.9
T at 315 in PKRATKKEP with a score of 0.992
Netphos predictions for protein 'CAPB_HUMAN' (threshold score is 0.8):
S at 34 in DLVPSLCED with a score of 0.931
S at 41 in EDLLSSVDQ with a score of 0.951
S at 73 in DSYRSPWSN with a score of 0.98
S at 76 in RSPWSNKYD with a score of 0.833
S at 160 in VQEKSSGRT with a score of 0.944
S at 161 in QEKSSGRTA with a score of 0.931
S at 182 in QTNKSGSGT with a score of 0.85
S at 184 in NKSGSGTMN with a score of 0.982
Y at 71 in DGDSYRSPW with a score of 0.833
Netphos predictions for protein 'CBPB_HUMAN' (threshold score is 0.8):
S at 46 in RELASTTQI with a score of 0.882
S at 57 in WKPDSVTQI with a score of 0.874
S at 65 in IKPHSTVDF with a score of 0.996
S at 115 in ATGHSYEKY with a score of 0.95
S at 244 in HTGSSCIGT with a score of 0.973
S at 279 in PAAESEKET with a score of 0.998
S at 296 in NKLSSIKAY with a score of 0.992
S at 392 in LLPESQIRA with a score of 0.864
T at 76 in KAEDTVTVE with a score of 0.901
T at 334 in LAKATVKEL with a score of 0.857
T at 354 in PGATTIYPA with a score of 0.976
T at 382 in ELRDTGRYG with a score of 0.813
T at 397 in QIRATCEET with a score of 0.879
Y at 272 in CDETYCGPA with a score of 0.954
Netphos predictions for protein 'CC37_HUMAN' (threshold score is 0.8):
S at 13 in HIEVSDDED with a score of 0.978
S at 97 in KEERSWEQK with a score of 0.994
S at 111 in KKEKSMPWN with a score of 0.986
S at 127 in GFSKSMVNT with a score of 0.926
S at 140 in TEEDSEEVR with a score of 0.989
S at 171 in RWDDSQKYL with a score of 0.978
S at 225 in ELAKSLKVD with a score of 0.941
S at 322 in QDAISKMDP with a score of 0.984
T at 131 in SMVNTKPEK with a score of 0.838
T at 136 in KPEKTEEDS with a score of 0.899
Y at 298 in PVEVYESLP with a score of 0.882
Netphos predictions for protein 'CD36_HUMAN' (threshold score is 0.8):
S at 166 in NKSKSSMFQ with a score of 0.987
S at 236 in KRNLSYWES with a score of 0.994
S at 301 in KAFASPVEN with a score of 0.991
T at 91 in RGPYTYRVR with a score of 0.874
T at 173 in FQVRTLREL with a score of 0.9
T at 195 in YPVTTTVGL with a score of 0.9
T at 420 in NETGTIGDE with a score of 0.818
Netphos predictions for protein 'CD63_HUMAN' (threshold score is 0.8):
S at 232 in KSIRSGYEV with a score of 0.816
Y at 125 in QMENYPKNN with a score of 0.84
Netphos predictions for protein 'CD82_HUMAN' (threshold score is 0.8):
S at 48 in VLQTSSSSL with a score of 0.928
S at 51 in TSSSSLRMG with a score of 0.961
S at 130 in RDYNSSRED with a score of 0.996
S at 131 in DYNSSREDS with a score of 0.996
S at 135 in SREDSLQDA with a score of 0.995
S at 187 in DNSLSVRKG with a score of 0.946
S at 202 in NRTQSGNHP with a score of 0.933
Y at 57 in RMGAYVFIG with a score of 0.969
Y at 142 in DAWDYVQAQ with a score of 0.935
Y at 261 in HSEDYSKVP with a score of 0.969
Netphos predictions for protein 'CDS2_HUMAN' (threshold score is 0.8):
S at 21 in EDKESESEA with a score of 0.997
S at 23 in KESESEAKV with a score of 0.838
S at 33 in GETASDSES with a score of 0.988
S at 35 in TASDSESRA with a score of 0.992
S at 37 in SDSESRAES with a score of 0.988
S at 41 in SRAESAPLP with a score of 0.898
S at 47 in PLPVSADDT with a score of 0.993
S at 60 in NRALSNLSS with a score of 0.913
S at 255 in LIKLSPKKT with a score of 0.982
S at 440 in GMLTSTTED with a score of 0.953
T at 51 in SADDTPEVL with a score of 0.962
T at 329 in IGWKTVRMY with a score of 0.824
T at 415 in QQFLTLRPD with a score of 0.831
Netphos predictions for protein 'CEB2_HUMAN' (threshold score is 0.8):
S at 14 in CLKDSPRFR with a score of 0.912
S at 70 in LAQYSSNDA with a score of 0.912
S at 86 in KFSDSLQEM with a score of 0.978
S at 101 in LLPNSEINL with a score of 0.912
S at 108 in NLRHSFSNF with a score of 0.996
S at 182 in NVLQSKRRS with a score of 0.994
S at 186 in SKRRSEILK with a score of 0.961
S at 243 in EQKHSTIQQ with a score of 0.982
S at 251 in QKDFSRDDS with a score of 0.997
S at 255 in SRDDSKLKY with a score of 0.824
S at 371 in KGDESEKLD with a score of 0.991
S at 378 in LDKKSSPST with a score of 0.863
S at 379 in DKKSSPSTG with a score of 0.978
S at 381 in KSSPSTGSL with a score of 0.993
S at 387 in GSLDSGNES with a score of 0.992
S at 391 in SGNESKEKL with a score of 0.978
S at 521 in SISLSPPEQ with a score of 0.984
S at 531 in KKFVSKSSE with a score of 0.844
S at 533 in FVSKSSEEK with a score of 0.996
S at 534 in VSKSSEEKR with a score of 0.983
S at 540 in EKRLSISKF with a score of 0.988
S at 553 in QVRASAQSS with a score of 0.986
S at 557 in SAQSSVRSN with a score of 0.992
S at 563 in RSNDSGIQQ with a score of 0.824
S at 568 in GIQQSSDDG with a score of 0.981
S at 575 in DGRESLPST with a score of 0.991
S at 584 in VSANSLYEP with a score of 0.997
S at 595 in ERQDSSMFL with a score of 0.989
S at 614 in LYRASYEKN with a score of 0.901
S at 637 in NWANSEENK with a score of 0.864
S at 758 in FRDFSQMAS with a score of 0.843
S at 775 in FQQDSQKF- with a score of 0.925
T at 48 in AMIDTGKAF with a score of 0.889
T at 358 in KAVQTSIAT with a score of 0.849
Y at 502 in EKEAYIRAK with a score of 0.981
Y at 516 in FVDKYSISL with a score of 0.843
Y at 742 in SEGLYGQPG with a score of 0.984
Y at 750 in GDETYQDIF with a score of 0.939
Netphos predictions for protein 'CH60_HUMAN' (threshold score is 0.8):
S at 70 in QSWGSPKVT with a score of 0.995
S at 247 in YVLLSEKKI with a score of 0.942
S at 252 in EKKISSIQS with a score of 0.902
S at 383 in DVTTSEYEK with a score of 0.973
S at 498 in IMQSSSEVG with a score of 0.841
S at 499 in MQSSSEVGY with a score of 0.872
T at 164 in KPVTTPEEI with a score of 0.973
T at 200 in KGVITVKDG with a score of 0.847
T at 231 in YFINTSKGQ with a score of 0.94
Y at 90 in LKDKYKNIG with a score of 0.988
Y at 223 in FDRGYISPY with a score of 0.92
Y at 243 in FQDAYVLLS with a score of 0.849
Y at 503 in SEVGYDAMA with a score of 0.983
Netphos predictions for protein 'CIP4_HUMAN' (threshold score is 0.8):
S at 65 in DDPESKFSQ with a score of 0.869
S at 68 in ESKFSQQQS with a score of 0.843
S at 137 in QLENSKRKF with a score of 0.97
S at 235 in YGLLSEAEL with a score of 0.933
S at 296 in NRAPSDSSL with a score of 0.992
S at 298 in APSDSSLGT with a score of 0.922
S at 304 in LGTPSDGRP with a score of 0.923
S at 355 in LEERSRELQ with a score of 0.81
S at 386 in GDPASLEPQ with a score of 0.948
S at 421 in SRVLSNRGD with a score of 0.988
S at 426 in NRGDSLSRH with a score of 0.996
S at 444 in APPDSSSNS with a score of 0.972
S at 448 in SSSNSASQD with a score of 0.934
S at 456 in DTKESSEEP with a score of 0.996
S at 457 in TKESSEEPP with a score of 0.992
S at 462 in EEPPSEESQ with a score of 0.997
S at 484 in EEPTSPIGH with a score of 0.994
S at 498 in HFEGSSEGT with a score of 0.865
S at 504 in EGTISMAEG with a score of 0.978
S at 512 in GEDLSLMEE with a score of 0.968
T at 225 in ERRATRLGA with a score of 0.925
T at 318 in GRSRTKRWP with a score of 0.934
Y at 190 in SKNEYAAQL with a score of 0.858
Y at 375 in MKDVYEKTP with a score of 0.962
Y at 471 in DTPIYTEFD with a score of 0.91
Y at 534 in GGEGYVPTS with a score of 0.804
Netphos predictions for protein 'CISY_HUMAN' (threshold score is 0.8):
S at 29 in HASASSTNL with a score of 0.946
S at 97 in FRGFSIPEC with a score of 0.888
S at 135 in EEQVSWLSK with a score of 0.959
S at 138 in VSWLSKEWA with a score of 0.93
S at 263 in LTIHSDHEG with a score of 0.803
S at 324 in GKDVSDEKL with a score of 0.962
S at 451 in ERPKSMSTE with a score of 0.978
S at 453 in PKSMSTEGL with a score of 0.993
Y at 199 in WELIYEDSV with a score of 0.963
Y at 246 in NMLGYTDHQ with a score of 0.945
Y at 286 in LSDPYLSFA with a score of 0.81
Netphos predictions for protein 'CLH1_HUMAN' (threshold score is 0.8):
S at 34 in LTMESDKFI with a score of 0.941
S at 67 in RRPISADSA with a score of 0.984
S at 70 in ISADSAIMN with a score of 0.949
S at 146 in FDRHSSLAG with a score of 0.969
S at 299 in MNRISGETI with a score of 0.961
S at 403 in RRFQSVPAQ with a score of 0.916
S at 460 in KLECSEELG with a score of 0.857
S at 525 in VMRISPDQG with a score of 0.903
S at 576 in NNRPSEGPL with a score of 0.978
S at 659 in FGSLSVEDS with a score of 0.996
S at 663 in SVEDSLECL with a score of 0.954
S at 704 in ELFESFKSF with a score of 0.91
S at 707 in ESFKSFEGL with a score of 0.943
S at 751 in ICRESNCYD with a score of 0.905
S at 841 in RGQFSTDEL with a score of 0.952
S at 980 in QTALSETQD with a score of 0.871
S at 1019 in NSVFSEHRN with a score of 0.979
S at 1127 in EAIDSYIKA with a score of 0.899
S at 1135 in ADDPSSYME with a score of 0.905
S at 1136 in DDPSSYMEV with a score of 0.979
S at 1167 in KARESYVET with a score of 0.998
S at 1249 in RKANSTRTW with a score of 0.97
S at 1483 in ALRTSIDAY with a score of 0.911
S at 1618 in DASESLRKE with a score of 0.855
T at 397 in RTPDTIRRF with a score of 0.988
T at 1252 in NSTRTWKEV with a score of 0.964
Y at 634 in FTDLYDIKR with a score of 0.841
Y at 899 in RENPYYDSR with a score of 0.964
Y at 900 in ENPYYDSRV with a score of 0.901
Y at 1168 in ARESYVETE with a score of 0.942
Y at 1477 in TEEDYQALR with a score of 0.975
Y at 1487 in SIDAYDNFD with a score of 0.941
Y at 1534 in KDSLYKDAM with a score of 0.918
Netphos predictions for protein 'CLI4_HUMAN' (threshold score is 0.8):
S at 27 in VKAGSDGES with a score of 0.992
S at 108 in YLKLSPKHP with a score of 0.997
S at 167 in IDENSMEDI with a score of 0.997
S at 236 in NTCPSDKEV with a score of 0.996
Y at 154 in KLDEYLNSP with a score of 0.949
Y at 244 in VEIAYSDVA with a score of 0.957
Netphos predictions for protein 'CLP2_HUMAN' (threshold score is 0.8):
S at 23 in NRLLSKYDP with a score of 0.997
S at 96 in KAMVSYGMN with a score of 0.907
S at 137 in KGLQSGVDI with a score of 0.986
S at 146 in GVKYSEKQE with a score of 0.987
S at 176 in NKCASQSGM with a score of 0.935
S at 245 in NSSMSLQMG with a score of 0.846
S at 284 in DGAPSGTGD with a score of 0.897
Y at 272 in YDPKYCPQG with a score of 0.892
Y at 308 in EEAGY---- with a score of 0.924
Netphos predictions for protein 'CLUS_HUMAN' (threshold score is 0.8):
S at 72 in KTLLSNLEE with a score of 0.823
S at 91 in ETRESETKL with a score of 0.988
S at 161 in DRIDSLLEN with a score of 0.992
S at 185 in SRASSIIDE with a score of 0.997
S at 233 in LMPFSPYEP with a score of 0.993
S at 292 in IRHNSTGCL with a score of 0.93
S at 394 in ASHTSDSDV with a score of 0.937
S at 424 in PVEVSRKNP with a score of 0.968
T at 170 in DRQQTHMLD with a score of 0.96
Y at 41 in QGSKYVNKE with a score of 0.958
Y at 151 in SSPFYFWMN with a score of 0.871
Y at 204 in PQDTYHYLP with a score of 0.869
Y at 383 in EDQYYLRVT with a score of 0.915
Netphos predictions for protein 'CN5A_HUMAN' (threshold score is 0.8):
S at 29 in RDQDSVEAW with a score of 0.948
S at 92 in RADNSVPGT with a score of 0.822
S at 102 in TRKISASEF with a score of 0.996
S at 104 in KISASEFDR with a score of 0.992
S at 126 in VSFLSDSEK with a score of 0.991
S at 128 in FLSDSEKKE with a score of 0.965
S at 527 in LEVLSYHAS with a score of 0.902
S at 560 in ITDFSFSDF with a score of 0.992
S at 562 in DFSFSDFEL with a score of 0.977
S at 567 in DFELSDLET with a score of 0.954
S at 705 in LSGLSIEEY with a score of 0.996
T at 296 in GGTFTEKDE with a score of 0.958
T at 478 in MEENTGKVK with a score of 0.926
T at 553 in PSAQTLKIT with a score of 0.978
T at 833 in YEALTHVSE with a score of 0.802
Y at 246 in IKDAYEDPR with a score of 0.984
Netphos predictions for protein 'CNE3_HUMAN' (threshold score is 0.8):
S at 25 in KDIGSKSDP with a score of 0.99
S at 90 in TIELSDDDF with a score of 0.973
S at 108 in QIVSSKKLT with a score of 0.983
S at 131 in SITISAEEI with a score of 0.989
S at 170 in HKQTSDGNW with a score of 0.89
S at 240 in LKEASRSSP with a score of 0.93
S at 243 in ASRSSPVEF with a score of 0.998
S at 260 in QKKKSYKNS with a score of 0.998
S at 301 in DFTGSNGDP with a score of 0.857
S at 358 in QWQVSHEFP with a score of 0.897
T at 209 in DMDKTIKVE with a score of 0.973
Y at 162 in KSDPYLEFH with a score of 0.878
Y at 217 in ECYDYDNDG with a score of 0.949
Y at 261 in KKKSYKNSG with a score of 0.965
Y at 313 in DSLHYISPN with a score of 0.91
Netphos predictions for protein 'COPG_HUMAN' (threshold score is 0.8):
S at 12 in KDEESGGGS with a score of 0.869
S at 96 in IKEMSCIAE with a score of 0.952
S at 154 in DKVPSVSSS with a score of 0.846
S at 156 in VPSVSSSAL with a score of 0.879
S at 225 in HGLKSPFAY with a score of 0.916
S at 249 in GSRDSPLFD with a score of 0.994
S at 355 in TGSESSIDR with a score of 0.991
S at 356 in GSESSIDRL with a score of 0.867
S at 369 in SSFMSEISD with a score of 0.97
S at 372 in MSEISDEFK with a score of 0.857
S at 429 in IEENSESKE with a score of 0.847
S at 431 in ENSESKETG with a score of 0.94
S at 570 in TLEPSEKPF with a score of 0.963
S at 593 in QRTESTPIT with a score of 0.922
S at 633 in LFKSSPEPV with a score of 0.939
S at 860 in VTARSLEEL with a score of 0.993
T at 114 in TKDMTGKED with a score of 0.913
T at 594 in RTESTPITA with a score of 0.854
T at 640 in PVALTESET with a score of 0.922
T at 738 in DCDPTTGET with a score of 0.813
T at 796 in STIKTLEEA with a score of 0.897
Y at 120 in KEDNYRGPA with a score of 0.948
Y at 646 in SETEYVIRC with a score of 0.989
Y at 747 in DDEGYEDEY with a score of 0.989
Y at 751 in YEDEYVLED with a score of 0.986
Netphos predictions for protein 'COPZ_HUMAN' (threshold score is 0.8):
S at 37 in DTYPSVKEQ with a score of 0.998
S at 57 in HRTDSEIAL with a score of 0.991
S at 71 in VVYKSSIDL with a score of 0.996
S at 82 in YVIGSSYEN with a score of 0.947
S at 83 in VIGSSYENE with a score of 0.948
S at 166 in QVLQSAKEQ with a score of 0.995
Y at 35 in YDDTYPSVK with a score of 0.977
Netphos predictions for protein 'COX2_HUMAN' (threshold score is 0.8):
S at 14 in QDATSPIME with a score of 0.991
Netphos predictions for protein 'CPT1_HUMAN' (threshold score is 0.8):
S at 24 in DLRLSHEAL with a score of 0.997
S at 38 in SGLHSWKKK with a score of 0.978
S at 125 in TMRYSLKVL with a score of 0.827
S at 158 in VKIFSGRKP with a score of 0.805
S at 315 in MFNTSRIPG with a score of 0.895
S at 474 in NAEHSWADA with a score of 0.977
S at 565 in KCRTSPDTF with a score of 0.994
S at 685 in PWRLSTSQT with a score of 0.986
S at 737 in NFHISSKFS with a score of 0.93
S at 741 in SSKFSCPET with a score of 0.996
S at 747 in PETDSHRFG with a score of 0.849
S at 771 in LSSNSKK-- with a score of 0.955
T at 314 in RMFNTSRIP with a score of 0.954
T at 604 in GRTETVRSC with a score of 0.967
T at 625 in DPAQTVEQR with a score of 0.884
Y at 427 in TEEGYRSED with a score of 0.953
Y at 439 in SMDSYAKSL with a score of 0.981
Y at 705 in NNPEYVSSG with a score of 0.992
Y at 720 in ADDGYGVSY with a score of 0.948
Netphos predictions for protein 'CRKL_HUMAN' (threshold score is 0.8):
S at 8 in ARFDSSDRS with a score of 0.974
S at 41 in LVRDSSTCP with a score of 0.977
S at 42 in VRDSSTCPG with a score of 0.987
S at 51 in DYVLSVSEN with a score of 0.848
S at 56 in VSENSRVSH with a score of 0.808
S at 59 in NSRVSHYII with a score of 0.938
S at 107 in PRYPSPPMG with a score of 0.986
S at 185 in LVRSSPHGK with a score of 0.995
S at 222 in AVSGSPGAA with a score of 0.816
T at 214 in PQTTTPLPA with a score of 0.921
Y at 92 in YKIHYLDTT with a score of 0.869
Y at 105 in PAPRYPSPP with a score of 0.896
Y at 127 in DNLEYVRTL with a score of 0.954
Netphos predictions for protein 'CSN2_HUMAN' (threshold score is 0.8):
S at 24 in YSEDSNSEP with a score of 0.941
S at 26 in EDSNSEPNV with a score of 0.829
S at 108 in TRNYSEKSI with a score of 0.963
S at 114 in KSINSILDY with a score of 0.868
S at 270 in DESGSPRRT with a score of 0.996
S at 296 in NPFDSQEAK with a score of 0.978
T at 274 in SPRRTTCLK with a score of 0.904
T at 275 in PRRTTCLKY with a score of 0.956
Y at 16 in DEEDYDLEY with a score of 0.979
Y at 36 in LENQYYNSK with a score of 0.818
Y at 37 in ENQYYNSKA with a score of 0.91
Y at 165 in EREEYGKLQ with a score of 0.858
Y at 302 in EAKPYKNDP with a score of 0.844
Netphos predictions for protein 'CT32_HUMAN' (threshold score is 0.8):
S at 33 in ELAFSRGDI with a score of 0.992
S at 48 in HVPESEGWW with a score of 0.803
S at 93 in EAPASSEET with a score of 0.997
S at 118 in EQMRSWAEG with a score of 0.951
S at 165 in PVRASLPTL with a score of 0.881
S at 200 in DIPASPKKA with a score of 0.992
S at 249 in DTPVSPGKA with a score of 0.974
S at 254 in PGKASVRNT with a score of 0.993
S at 287 in PSGRSRSLT with a score of 0.852
S at 289 in GRSRSLTPQ with a score of 0.964
S at 305 in QKKLSLPEI with a score of 0.99
S at 328 in DEDVSYKVP with a score of 0.96
S at 357 in PKATSSVSQ with a score of 0.935
S at 390 in RRTTSPSPE with a score of 0.996
S at 392 in TTSPSPEPD with a score of 0.997
S at 399 in PDRLSGSSS with a score of 0.995
S at 401 in RLSGSSSDS with a score of 0.996
S at 403 in SGSSSDSRA with a score of 0.95
S at 405 in SSSDSRASI with a score of 0.94
S at 408 in DSRASIVSS with a score of 0.994
S at 414 in VSSCSTTST with a score of 0.981
S at 417 in CSTTSTDDS with a score of 0.995
S at 421 in STDDSSSSS with a score of 0.991
S at 422 in TDDSSSSSS with a score of 0.989
S at 423 in DDSSSSSSE with a score of 0.993
S at 424 in DSSSSSSEE with a score of 0.996
S at 425 in SSSSSSEES with a score of 0.998
S at 426 in SSSSSEESA with a score of 0.997
S at 429 in SSEESAKEL with a score of 0.997
S at 489 in HIEESVREF with a score of 0.985
S at 555 in SVQNSPDDL with a score of 0.997
S at 625 in SHQKSTPST with a score of 0.979
S at 628 in KSTPSTKQR with a score of 0.98
S at 637 in EDEHSSELL with a score of 0.989
S at 673 in KPRLSEHCR with a score of 0.992
S at 738 in LRGSSHLCS with a score of 0.938
T at 108 in PRPPTPGPV with a score of 0.983
T at 225 in ISVTTLRRG with a score of 0.953
T at 246 in WIYDTPVSP with a score of 0.927
T at 389 in SRRTTSPSP with a score of 0.98
T at 665 in SSQQTPERK with a score of 0.956
Y at 98 in SEETYQVPT with a score of 0.988
Y at 113 in PGPVYEQMR with a score of 0.904
Y at 244 in SEWIYDTPV with a score of 0.935
Y at 329 in EDVSYKVPS with a score of 0.88
Y at 611 in KCEKYIQPP with a score of 0.985
Netphos predictions for protein 'CTOG_HUMAN' (threshold score is 0.8):
S at 26 in KARLSGYEE with a score of 0.994
S at 43 in KDEKSPEWS with a score of 0.998
S at 153 in RKALSEFGS with a score of 0.881
S at 175 in KLFESREKA with a score of 0.94
S at 234 in RFLRSQQEL with a score of 0.979
S at 302 in EALESVEVL with a score of 0.875
S at 494 in IKECSEKVE with a score of 0.863
S at 524 in RTAASGAAG with a score of 0.817
S at 725 in SMAFSQKNP with a score of 0.984
S at 803 in PALLSQIDA with a score of 0.991
S at 825 in TRGISKHST with a score of 0.989
S at 828 in ISKHSTSGT with a score of 0.996
S at 830 in KHSTSGTDE with a score of 0.997
S at 858 in RTEISDKIT with a score of 0.869
S at 867 in SELVSKIGD with a score of 0.979
S at 984 in GEDLSEELK with a score of 0.822
S at 1092 in TKATSKPMG with a score of 0.905
S at 1116 in DCISSSTEP with a score of 0.887
S at 1117 in CISSSTEPK with a score of 0.894
S at 1133 in APGLSSKAK with a score of 0.905
S at 1138 in SKAKSAQGK with a score of 0.953
S at 1146 in KKMPSKTSL with a score of 0.945
S at 1149 in PSKTSLKED with a score of 0.997
S at 1233 in DHLESEKEG with a score of 0.996
S at 1276 in FTLLSEEEY with a score of 0.87
S at 1338 in KSKNSKQRA with a score of 0.994
S at 1409 in IGNLSEKDM with a score of 0.993
S at 1414 in EKDMSMLEE with a score of 0.995
S at 1423 in RIKRSAKRP with a score of 0.99
S at 1428 in AKRPSAAPI with a score of 0.964
S at 1469 in NQARSMSGH with a score of 0.943
S at 1471 in ARSMSGHPE with a score of 0.906
S at 1528 in IRAVSPHFD with a score of 0.997
S at 1653 in LMLDSRIED with a score of 0.939
S at 1702 in ATASSPKFS with a score of 0.994
S at 1788 in NKNESELEA with a score of 0.989
S at 1801 in MMKHSMDQT with a score of 0.905
S at 1807 in DQTGSKSDK with a score of 0.989
S at 1809 in TGSKSDKET with a score of 0.998
S at 1818 in EKGASRIDE with a score of 0.998
S at 1824 in IDEKSSKAK with a score of 0.989
S at 1842 in KKIGSKENT with a score of 0.994
S at 1861 in KKKYSDADI with a score of 0.993
S at 1898 in KGRISTSTG with a score of 0.989
S at 1904 in STGISPQME with a score of 0.963
S at 1921 in STVSSIGNT with a score of 0.929
S at 1988 in QLRESREQH with a score of 0.997
S at 1995 in QHQHSDLDS with a score of 0.988
S at 2012 in VTSSSSTAN with a score of 0.915
S at 2013 in TSSSSTANI with a score of 0.879
S at 2029 in ERIKSSRK- with a score of 0.842
S at 2030 in RIKSSRK-- with a score of 0.912
T at 85 in VAGKTTGEV with a score of 0.853
T at 147 in ACIETLRKA with a score of 0.876
T at 972 in WAEQTGMKE with a score of 0.958
T at 1012 in TLRSTPTDL with a score of 0.873
T at 1187 in WNFTTPRDE with a score of 0.993
Y at 75 in AALVYVENA with a score of 0.823
Y at 285 in PKDFYDKIE with a score of 0.896
Y at 317 in EAGDYADLV with a score of 0.964
Y at 1192 in PRDEYIEQL with a score of 0.818
Y at 1280 in SEEEYHLTE with a score of 0.979
Y at 1860 in YKKKYSDAD with a score of 0.95
Netphos predictions for protein 'CYPB_HUMAN' (threshold score is 0.8):
S at 109 in TGGKSIYGE with a score of 0.967
S at 176 in RKVESTKTD with a score of 0.964
S at 181 in TKTDSRDKP with a score of 0.917
T at 148 in FFITTVKTA with a score of 0.867
Y at 80 in KGFGYKNSK with a score of 0.87
Netphos predictions for protein 'CYPH_HUMAN' (threshold score is 0.8):
S at 20 in LGRVSFELF with a score of 0.911
S at 39 in FRALSTGEK with a score of 0.984
S at 76 in TGGKSIYGE with a score of 0.96
S at 152 in NGKTSKKIT with a score of 0.995
Netphos predictions for protein 'DCT2_HUMAN' (threshold score is 0.8):
S at 42 in LTSTSVEHI with a score of 0.877
S at 83 in TGYESGEYE with a score of 0.97
S at 127 in TVKESATEE with a score of 0.996
S at 191 in SKGGSGGKT with a score of 0.833
S at 211 in YELHSRPEQ with a score of 0.996
S at 269 in QAKVSALDL with a score of 0.806
S at 299 in KHKASVEDA with a score of 0.998
S at 320 in IQRWSPIAS with a score of 0.994
S at 363 in MIANSLKDN with a score of 0.992
T at 64 in KRVGTKGLD with a score of 0.858
T at 123 in KIKTTVKES with a score of 0.947
T at 198 in KTTGTPPDS with a score of 0.89
T at 232 in EKRLTELET with a score of 0.957
T at 377 in QVQTTMREN with a score of 0.908
Y at 6 in ADPKYADLP with a score of 0.989
Y at 20 in EPDVYETSD with a score of 0.962
Y at 81 in KRTGYESGE with a score of 0.833
Y at 86 in ESGEYEMLG with a score of 0.971
Netphos predictions for protein 'DCUP_HUMAN' (threshold score is 0.8):
S at 57 in QDFFSTCRS with a score of 0.898
S at 61 in STCRSPEAC with a score of 0.949
S at 313 in ALYASEEEI with a score of 0.923
T at 58 in DFFSTCRSP with a score of 0.873
Y at 30 in EETDYTPVW with a score of 0.982
Y at 133 in SELGYVFQA with a score of 0.979
Y at 277 in AQAGYEVVG with a score of 0.803
Netphos predictions for protein 'DEMA_HUMAN' (threshold score is 0.8):
S at 11 in QPLTSPGSV with a score of 0.935
S at 14 in TSPGSVSPS with a score of 0.95
S at 16 in PGSVSPSRD with a score of 0.993
S at 18 in SVSPSRDSS with a score of 0.959
S at 21 in PSRDSSVPG with a score of 0.992
S at 22 in SRDSSVPGS with a score of 0.993
S at 26 in SVPGSPSSI with a score of 0.992
S at 81 in ELPRSRERS with a score of 0.991
S at 85 in SRERSLSPK with a score of 0.987
S at 87 in ERSLSPKST with a score of 0.998
S at 90 in LSPKSTSPP with a score of 0.989
S at 92 in PKSTSPPPS with a score of 0.988
S at 96 in SPPPSPEVW with a score of 0.996
S at 113 in ISQASAPRT with a score of 0.948
S at 138 in SRPDSNIYK with a score of 0.991
S at 152 in KQRESVGGS with a score of 0.995
S at 211 in KRKASRRGA with a score of 0.998
S at 226 in EDDDSGEEM with a score of 0.997
S at 269 in RKTRSLPDR with a score of 0.984
S at 289 in SKSSSLPAY with a score of 0.865
S at 303 in SRLQSTEFS with a score of 0.99
S at 307 in STEFSPSGS with a score of 0.983
S at 309 in EFSPSGSET with a score of 0.996
S at 311 in SPSGSETGS with a score of 0.95
S at 372 in ERHLSAEDF with a score of 0.996
S at 383 in VFAMSPEEF with a score of 0.998
T at 118 in APRTTGTPR with a score of 0.866
T at 120 in RTTGTPRTS with a score of 0.982
T at 133 in HHPETSRPD with a score of 0.975
T at 267 in IRRKTRSLP with a score of 0.925
T at 297 in YGRTTLSRL with a score of 0.957
Y at 141 in DSNIYKKPP with a score of 0.894
Y at 191 in IETDYWPCP with a score of 0.86
Netphos predictions for protein 'DEST_HUMAN' (threshold score is 0.8):
S at 24 in VRKCSTPEE with a score of 0.99
S at 94 in ETKESRKEE with a score of 0.997
S at 119 in MIYASSKDA with a score of 0.996
Y at 117 in SKMIYASSK with a score of 0.899
Netphos predictions for protein 'DHE3_HUMAN' (threshold score is 0.8):
S at 79 in DRGASIVED with a score of 0.996
S at 94 in RTRESEEQK with a score of 0.995
S at 128 in RDDGSWEVI with a score of 0.994
S at 140 in RAQHSQHRT with a score of 0.99
S at 157 in STDVSVDEV with a score of 0.966
S at 227 in APDMSTGER with a score of 0.979
S at 234 in EREMSWIAD with a score of 0.992
S at 261 in GKPISQGGI with a score of 0.911
S at 270 in HGRISATGR with a score of 0.921
S at 336 in ESDGSIWNP with a score of 0.838
S at 384 in IPAASEKQL with a score of 0.872
S at 462 in YERDSNYHL with a score of 0.986
S at 473 in SVQESLERK with a score of 0.992
S at 498 in QDRISGASE with a score of 0.987
S at 501 in ISGASEKDI with a score of 0.998
T at 410 in NGPTTPEAD with a score of 0.951
T at 455 in YGRLTFKYE with a score of 0.939
Y at 289 in NEASYMSIL with a score of 0.955
Y at 429 in IPDLYLNAG with a score of 0.85
Netphos predictions for protein 'DIA1_HUMAN' (threshold score is 0.8):
S at 22 in KKGRSPDEL with a score of 0.997
S at 36 in DGGKSKKFL with a score of 0.992
S at 57 in EKPNSAHRN with a score of 0.986
S at 63 in HRNSSASYG with a score of 0.979
S at 65 in NSSASYGDD with a score of 0.998
S at 128 in KAGMSQKES with a score of 0.997
S at 132 in SQKESSKSA with a score of 0.989
S at 133 in QKESSKSAM with a score of 0.938
S at 135 in ESSKSAMMY with a score of 0.912
S at 145 in QELRSGLRD with a score of 0.801
S at 162 in SLRVSLNNN with a score of 0.975
S at 169 in NNPVSWVQT with a score of 0.849
S at 395 in TVKDSKAEP with a score of 0.946
S at 468 in KVEKSEAKA with a score of 0.951
S at 498 in KKMESDFEQ with a score of 0.994
S at 516 in DALHSEKQQ with a score of 0.992
S at 644 in VGIPSPSSL with a score of 0.9
S at 647 in PSPSSLPGG with a score of 0.834
S at 816 in EEKKSVQKK with a score of 0.867
S at 946 in ELRKSESFS with a score of 0.983
S at 1027 in ASRVSAENL with a score of 0.996
S at 1043 in KKQISDVER with a score of 0.991
S at 1106 in PKKLSVEEF with a score of 0.997
S at 1230 in VSKNSETFP with a score of 0.943
T at 14 in PGRETRDKK with a score of 0.963
T at 275 in LEAMTERAE with a score of 0.893
T at 314 in NALITPAEE with a score of 0.867
T at 484 in DSELTARHE with a score of 0.966
T at 747 in PFGLTPKKL with a score of 0.984
T at 1134 in KRRKTEEKM with a score of 0.945
T at 1214 in ASELTKDDA with a score of 0.932
Y at 66 in SSASYGDDP with a score of 0.894
Y at 365 in EEDSYDLKG with a score of 0.988
Y at 890 in LKDEYDDLA with a score of 0.979
Y at 1007 in CENDYPDVL with a score of 0.986
Y at 1091 in METLYKELG with a score of 0.965
Netphos predictions for protein 'DREB_HUMAN' (threshold score is 0.8):
S at 7 in GVSFSGHRL with a score of 0.857
S at 25 in IREESAADW with a score of 0.972
S at 46 in KLAASGEGG with a score of 0.965
S at 69 in YGFCSVKDS with a score of 0.986
S at 120 in VNASSVEDI with a score of 0.998
S at 142 in ARLSSPVLH with a score of 0.867
S at 272 in HMKKSESEV with a score of 0.993
S at 274 in KKSESEVEE with a score of 0.996
S at 302 in ERVASASAG with a score of 0.93
S at 312 in CDVPSPFNH with a score of 0.961
S at 320 in HRPGSHLDS with a score of 0.994
S at 324 in SHLDSHRRM with a score of 0.986
S at 337 in IPTRSPSDS with a score of 0.996
S at 339 in TRSPSDSST with a score of 0.995
S at 341 in SPSDSSTAS with a score of 0.984
S at 342 in PSDSSTAST with a score of 0.965
S at 416 in RGPGSPAED with a score of 0.989
S at 474 in PAATSLIDL with a score of 0.882
S at 500 in PTPPSGTEV with a score of 0.843
S at 599 in EGYFSQSQE with a score of 0.959
S at 601 in YFSQSQEEE with a score of 0.996
T at 331 in RMAPTPIPT with a score of 0.951
T at 346 in STASTPVAE with a score of 0.939
T at 452 in DAADTIETD with a score of 0.81
T at 497 in PRAPTPPSG with a score of 0.908
T at 586 in NGETTQKEG with a score of 0.992
Y at 80 in ALPKYVLIN with a score of 0.86
Netphos predictions for protein 'DYN1_HUMAN' (threshold score is 0.8):
S at 46 in AGKSSVLEN with a score of 0.972
S at 61 in LPRGSGIVT with a score of 0.979
S at 116 in NKGISPVPI with a score of 0.909
S at 175 in ILAVSPANS with a score of 0.875
S at 238 in VVNRSQKDI with a score of 0.997
S at 437 in SELISTVRQ with a score of 0.941
S at 512 in KKKTSGNQD with a score of 0.923
S at 538 in MKGGSKEYW with a score of 0.874
S at 551 in AENLSWYKD with a score of 0.988
S at 581 in KGFMSSKHI with a score of 0.85
S at 615 in EEVDSWKAS with a score of 0.994
S at 637 in KEKASETEE with a score of 0.989
S at 668 in NLVDSYMAI with a score of 0.906
S at 774 in AGRRSPTSS with a score of 0.997
S at 778 in SPTSSPTPQ with a score of 0.994
S at 795 in ARPGSRGPA with a score of 0.98
S at 822 in RPGASPDPF with a score of 0.806
S at 851 in SGQASPSRP with a score of 0.997
S at 853 in QASPSRPES with a score of 0.991
S at 857 in SRPESPRPP with a score of 0.998
T at 65 in SGIVTRRPL with a score of 0.863
T at 105 in IEAETDRVT with a score of 0.959
T at 274 in DRMGTPYLQ with a score of 0.965
T at 292 in HIRDTLPGL with a score of 0.821
T at 443 in VRQCTKKLQ with a score of 0.83
T at 661 in RQVETIRNL with a score of 0.878
T at 752 in TTVSTPMPP with a score of 0.826
T at 776 in RRSPTSSPT with a score of 0.939
Y at 314 in EVEEYKNFR with a score of 0.962
Y at 390 in REISYAIKN with a score of 0.96
Y at 485 in IELAYMNTN with a score of 0.918
Netphos predictions for protein 'DYNA_HUMAN' (threshold score is 0.8):
S at 14 in SRTPSGSRM with a score of 0.987
S at 16 in TPSGSRMSA with a score of 0.954
S at 19 in GSRMSAEAS with a score of 0.996
S at 23 in SAEASARPL with a score of 0.905
S at 31 in LRVGSRVEV with a score of 0.858
S at 105 in ADTTSPETP with a score of 0.993
S at 129 in TAKTSKLRG with a score of 0.961
S at 157 in TRPASTGVA with a score of 0.98
S at 170 in SLGPSGSAS with a score of 0.908
S at 174 in SGSASAGEL with a score of 0.981
S at 179 in AGELSSSEP with a score of 0.976
S at 180 in GELSSSEPS with a score of 0.822
S at 181 in ELSSSEPST with a score of 0.944
S at 184 in SSEPSTPAQ with a score of 0.903
S at 203 in PVLTSPGAV with a score of 0.9
S at 214 in LPSPSKEEE with a score of 0.994
S at 320 in ERAESLQQE with a score of 0.954
S at 351 in EEKGSDGAA with a score of 0.93
S at 356 in DGAASSYQL with a score of 0.928
S at 381 in MRDLSSSEK with a score of 0.995
S at 382 in RDLSSSEKQ with a score of 0.991
S at 383 in DLSSSEKQE with a score of 0.994
S at 417 in QEELSQAES with a score of 0.93
S at 421 in SQAESTIDE with a score of 0.99
S at 541 in QQEASVERQ with a score of 0.964
S at 761 in LDCMSVEVG with a score of 0.877
S at 790 in DLETSCSDI with a score of 0.994
S at 884 in TPSSSPYEC with a score of 0.994
S at 919 in ERPPSKPPP with a score of 0.982
S at 958 in ELKKSLKIK with a score of 0.842
S at 974 in NVRLSLLEK with a score of 0.993
S at 1039 in QRLNSQSKR with a score of 0.97
S at 1054 in GPPPSGIAT with a score of 0.926
S at 1135 in VAKLSHEGP with a score of 0.848
S at 1175 in ITRTSPAAK with a score of 0.986
S at 1180 in PAAKSPSAQ with a score of 0.988
S at 1194 in AQLKSLSDT with a score of 0.978
S at 1212 in KETVSQRPG with a score of 0.871
T at 103 in DGADTTSPE with a score of 0.963
T at 104 in GADTTSPET with a score of 0.957
T at 124 in EGTDTTAKT with a score of 0.905
T at 141 in KKAPTARKT with a score of 0.879
T at 146 in ARKTTTRRP with a score of 0.984
T at 147 in RKTTTRRPK with a score of 0.969
T at 185 in SEPSTPAQT with a score of 0.831
T at 189 in TPAQTPLAA with a score of 0.888
T at 198 in PIIPTPVLT with a score of 0.853
T at 422 in QAESTIDEL with a score of 0.944
T at 481 in NARETELEL with a score of 0.936
T at 516 in DYQQTIKKY with a score of 0.97
T at 996 in EKVQTRLEE with a score of 0.819
Y at 293 in AKERYMEEM with a score of 0.821
Y at 682 in SVDVYKKVG with a score of 0.952
Y at 878 in SEQIYGTPS with a score of 0.946
Y at 886 in SSSPYECLR with a score of 0.921
Y at 912 in QEGEYDAER with a score of 0.817
Netphos predictions for protein 'ECE1_HUMAN' (threshold score is 0.8):
S at 34 in DLVDSLSEG with a score of 0.992
S at 36 in VDSLSEGDA with a score of 0.991
S at 97 in TRSPSVCLS with a score of 0.962
S at 113 in SSILSSMDP with a score of 0.994
S at 170 in NSTASVSEA with a score of 0.996
S at 172 in TASVSEAER with a score of 0.964
S at 234 in HYRTSPFFS with a score of 0.959
S at 245 in VSADSKNSN with a score of 0.86
S at 404 in RKTSSFLDQ with a score of 0.974
S at 492 in ETRKSAKEK with a score of 0.998
S at 541 in FFNFSWRVT with a score of 0.931
S at 570 in NAYYSPTKN with a score of 0.903
S at 592 in YTRSSPKAL with a score of 0.997
S at 722 in RTPESSHEG with a score of 0.977
S at 723 in TPESSHEGL with a score of 0.99
S at 733 in TDPHSPSRF with a score of 0.998
|
802341fe6c9df9acea66a346218ce0fb44528cd4
|
2023-03-17T10:20:33.665763
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.705375046, "avg_line_length": 45.8004271476, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "99fc7670236631034eba8a2abb58f0d22cebc2eb", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "nielshulstaert/ms-lims", "max_forks_repo_path": "src/test/resources/testNetphosThresholdReader_control.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "99fc7670236631034eba8a2abb58f0d22cebc2eb", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "nielshulstaert/ms-lims", "max_issues_repo_path": "src/test/resources/testNetphosThresholdReader_control.txt", "max_line_length": 72, "max_stars_count": 2, "max_stars_repo_head_hexsha": "99fc7670236631034eba8a2abb58f0d22cebc2eb", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "nielshulstaert/ms-lims", "max_stars_repo_path": "src/test/resources/testNetphosThresholdReader_control.txt", "max_stars_repo_stars_event_max_datetime": "2017-02-23T14:46:50.000Z", "max_stars_repo_stars_event_min_datetime": "2015-11-23T10:15:58.000Z", "size": 386006, "truncated_portion": "\r\n S at 746 in SLSNSKEFS with a score of 0.99\r\n S at 759 in CPPGSPMNP with a score of 0.983\r\n T at 25 in YKRATLDEE with a score of 0.981\r\n T at 63 in WAARTQVEK with a score of 0.927\r\n T at 642 in FKRQTECMV with a score of 0.965\r\n T at 664 in NGRHTLGEN with a score of 0.854\r\n Y at 41 in EGDAYPNGL with a score of 0.924\r\n Y at 240 in FFSVYVSAD with a score of 0.8\r\n Y at 268 in SRDYYLNKT with a score of 0.968\r\n Y at 331 in EELIYHKVT with a score of 0.96\r\n\r\nNetphos predictions for protein 'ECHA_HUMAN' (threshold score is 0.8):\r\n S at 14 in LSRFSAFRI with a score of 0.98\r\n S at 59 in NSPNSKVNT with a score of 0.991\r\n S at 70 in KELHSEFSE with a score of 0.952\r\n S at 92 in AVLISSKPG with a score of 0.857\r\n S at 120 in VTQLSQEAQ with a score of 0.991\r\n S at 133 in KLEKSTKPI with a score of 0.987\r\n S at 206 in LTGRSIRAD with a score of 0.942\r\n S at 257 in DKKISPKRD with a score of 0.998\r\n S at 324 in YLCESQKFG with a score of 0.966\r\n S at 419 in KALTSFERD with a score of 0.989\r\n S at 424 in FERDSIFSN with a score of 0.964\r\n S at 488 in IAAVSKRPE with a score of 0.954\r\n S at 501 in MHYFSPVDK with a score of 0.988\r\n S at 518 in TEKTSKDTS with a score of 0.971\r\n S at 522 in SKDTSASAV with a score of 0.959\r\n S at 632 in LGRKSGKGF with a score of 0.996\r\n S at 650 in KDLNSDMDS with a score of 0.994\r\n S at 665 in LPPKSEVSS with a score of 0.984\r\n S at 668 in KSEVSSDED with a score of 0.989\r\n S at 669 in SEVSSDEDI with a score of 0.997\r\n T at 162 in YRIATKDRK with a score of 0.962\r\n T at 185 in GAGGTQRLP with a score of 0.842\r\n T at 418 in KKALTSFER with a score of 0.843\r\n T at 517 in TTEKTSKDT with a score of 0.987\r\n T at 586 in VGAATLVDE with a score of 0.868\r\n\r\nNetphos predictions for protein 'ECHB_HUMAN' (threshold score is 0.8):\r\n S at 27 in IRPLSCSSQ with a score of 0.986\r\n S at 70 in LSGTSYKDL with a score of 0.996\r\n S at 92 in LHRTSVPKE with a score of 0.893\r\n S at 176 in PIRHSRKMR with a score of 0.994\r\n S at 197 in GQRLSLISK with a score of 0.835\r\n S at 218 in VSEFSTSET with a score of 0.993\r\n S at 220 in EFSTSETMG with a score of 0.937\r\n S at 237 in AFAVSRLEQ with a score of 0.958\r\n S at 284 in GIRPSSLEQ with a score of 0.876\r\n S at 285 in IRPSSLEQM with a score of 0.992\r\n T at 40 in PAVQTKTKK with a score of 0.894\r\n T at 62 in DGVRTPFLL with a score of 0.847\r\n T at 359 in PTYATPKVL with a score of 0.98\r\n T at 407 in MGRKTKVGL with a score of 0.928\r\n Y at 71 in SGTSYKDLM with a score of 0.94\r\n Y at 100 in EVVDYIIFG with a score of 0.878\r\n Y at 244 in EQDEYALRS with a score of 0.849\r\n Y at 342 in RDFMYVSQD with a score of 0.87\r\n\r\nNetphos predictions for protein 'ECM_HUMAN' (threshold score is 0.8):\r\n S at 26 in NSKHSWTIP with a score of 0.977\r\n S at 35 in EDGNSQKTM with a score of 0.948\r\n S at 43 in MPSASVPPN with a score of 0.842\r\n S at 62 in TRVMSAEIA with a score of 0.994\r\n S at 74 in EARTSEDSL with a score of 0.986\r\n S at 77 in TSEDSLLKS with a score of 0.821\r\n S at 86 in TLPPSETSA with a score of 0.972\r\n S at 102 in QTLTSTEKA with a score of 0.978\r\n S at 149 in FARKSNEQA with a score of 0.991\r\n S at 185 in ETYLSRGDS with a score of 0.997\r\n S at 189 in SRGDSSSSQ with a score of 0.993\r\n S at 191 in GDSSSSQRT with a score of 0.984\r\n S at 192 in DSSSSQRTD with a score of 0.982\r\n S at 200 in DYQKSNFET with a score of 0.91\r\n S at 219 in HTRLSPTVT with a score of 0.991\r\n S at 298 in NQAESHTAV with a score of 0.822\r\n S at 358 in NTYSSLEGK with a score of 0.988\r\n S at 364 in EGKVSEDKS with a score of 0.836\r\n S at 368 in SEDKSREFQ with a score of 0.99\r\n S at 415 in KTVSSLSED with a score of 0.98\r\n S at 417 in VSSLSEDLE with a score of 0.918\r\n S at 422 in EDLESTRQI with a score of 0.909\r\n S at 537 in PAAESVSNN with a score of 0.921\r\n S at 580 in NLTVSLEME with a score of 0.867\r\n S at 587 in MEKESLRGE with a score of 0.949\r\n S at 759 in IKDNSEIHH with a score of 0.984\r\n S at 767 in HKCTSDMET with a score of 0.849\r\n S at 842 in QQNMSHLEE with a score of 0.958\r\n S at 884 in VKKGSVVTN with a score of 0.876\r\n S at 937 in NASTSVSEL with a score of 0.852\r\n S at 1000 in NVVKSQKQV with a score of 0.981\r\n S at 1044 in EEYSSCSRH with a score of 0.97\r\n S at 1062 in NGRTSFTCA with a score of 0.994\r\n S at 1094 in FSKGSYRYA with a score of 0.899\r\n T at 68 in EIATTPEAR with a score of 0.827\r\n T at 99 in VRNQTLTST with a score of 0.835\r\n T at 696 in IKELTKRHN with a score of 0.859\r\n T at 788 in DSIQTLVND with a score of 0.89\r\n T at 1188 in DRVLTGDAL with a score of 0.923\r\n Y at 183 in PRETYLSRG with a score of 0.827\r\n Y at 197 in QRTDYQKSN with a score of 0.803\r\n Y at 275 in CCPGYSGPK with a score of 0.873\r\n Y at 1095 in SKGSYRYAP with a score of 0.858\r\n\r\nNetphos predictions for protein 'EF1D_HUMAN' (threshold score is 0.8):\r\n S at 71 in PGASSGTSG with a score of 0.962\r\n S at 74 in SSGTSGDHG with a score of 0.971\r\n S at 106 in QQAISKLEA with a score of 0.913\r\n S at 133 in TQHVSPMRQ with a score of 0.805\r\n T at 147 in KKPATPAED with a score of 0.886\r\n T at 264 in EEEITKFEE with a score of 0.931\r\n Y at 18 in DKFKYDDAE with a score of 0.966\r\n\r\nNetphos predictions for protein 'EHD1_HUMAN' (threshold score is 0.8):\r\n S at 150 in LDSISIIDT with a score of 0.986\r\n S at 159 in PGILSGEKQ with a score of 0.981\r\n S at 166 in KQRISRGYD with a score of 0.965\r\n S at 197 in KLDISDEFS with a score of 0.937\r\n S at 326 in FGKESKKKE with a score of 0.864\r\n S at 349 in EHQISPGDF with a score of 0.998\r\n S at 529 in LVPPSKRRH with a score of 0.978\r\n T at 93 in GPEPTTDSF with a score of 0.813\r\n T at 246 in KIINTPEVV with a score of 0.902\r\n Y at 448 in DKPTYDEIF with a score of 0.933\r\n\r\nNetphos predictions for protein 'EHD3_HUMAN' (threshold score is 0.8):\r\n S at 150 in LESISVIDT with a score of 0.993\r\n S at 159 in PGILSGEKQ with a score of 0.981\r\n S at 166 in KQRISRGYD with a score of 0.965\r\n S at 197 in KLDISDEFS with a score of 0.937\r\n S at 349 in EHQISPGDF with a score of 0.998\r\n S at 456 in FYTLSPVDG with a score of 0.974\r\n T at 93 in GPEPTTDSF with a score of 0.813\r\n Y at 448 in DKPMYDEIF with a score of 0.842\r\n\r\nNetphos predictions for protein 'EMD_HUMAN' (threshold score is 0.8):\r\n S at 8 in YADLSDTEL with a score of 0.908\r\n S at 29 in PVVGSTRRL with a score of 0.81\r\n S at 49 in RRRLSPPSS with a score of 0.997\r\n S at 52 in LSPPSSSAA with a score of 0.976\r\n S at 57 in SSAASSYSF with a score of 0.97\r\n S at 58 in SAASSYSFS with a score of 0.99\r\n S at 60 in ASSYSFSDL with a score of 0.91\r\n S at 66 in SDLNSTRGD with a score of 0.922\r\n S at 120 in AVRQSVTSF with a score of 0.989\r\n S at 123 in QSVTSFPDA with a score of 0.997\r\n S at 141 in DDLLSSSEE with a score of 0.992\r\n S at 142 in DLLSSSEEE with a score of 0.994\r\n S at 143 in LLSSSEEEC with a score of 0.994\r\n S at 159 in YGRDSAYQS with a score of 0.993\r\n S at 171 in YRPVSASRS with a score of 0.989\r\n S at 173 in PVSASRSSL with a score of 0.97\r\n S at 175 in SASRSSLDL with a score of 0.94\r\n S at 176 in ASRSSLDLS with a score of 0.957\r\n S at 180 in SLDLSYYPT with a score of 0.978\r\n S at 189 in SSSTSFMSS with a score of 0.985\r\n S at 192 in TSFMSSSSS with a score of 0.89\r\n S at 193 in SFMSSSSSS with a score of 0.944\r\n S at 196 in SSSSSSSSW with a score of 0.963\r\n S at 197 in SSSSSSSWL with a score of 0.981\r\n S at 198 in SSSSSSWLT with a score of 0.882\r\n S at 199 in SSSSSWLTR with a score of 0.894\r\n T at 43 in FEYETQRRR with a score of 0.841\r\n Y at 4 in -MDNYADLS with a score of 0.978\r\n Y at 94 in YNDDYYEES with a score of 0.947\r\n Y at 95 in NDDYYEESY with a score of 0.985\r\n Y at 99 in YEESYFTTR with a score of 0.962\r\n Y at 161 in RDSAYQSIT with a score of 0.947\r\n\r\nNetphos predictions for protein 'ENOA_HUMAN' (threshold score is 0.8):\r\n S at 262 in LDFKSPDDP with a score of 0.995\r\n S at 271 in SRYISPDQL with a score of 0.989\r\n S at 290 in YPVVSIEDP with a score of 0.997\r\n S at 372 in VSHRSGETE with a score of 0.985\r\n Y at 56 in DKTRYMGKG with a score of 0.925\r\n Y at 199 in IKEKYGKDA with a score of 0.83\r\n Y at 269 in DPSRYISPD with a score of 0.888\r\n\r\nNetphos predictions for protein 'ENOG_HUMAN' (threshold score is 0.8):\r\n S at 13 in EILDSRGNP with a score of 0.89\r\n S at 82 in SSGLSVVEQ with a score of 0.997\r\n S at 176 in VGAESFRDA with a score of 0.996\r\n S at 262 in LDFKSPTDP with a score of 0.996\r\n S at 290 in YPVVSIEDP with a score of 0.997\r\n S at 372 in VSHRSGETE with a score of 0.985\r\n Y at 24 in EVDLYTAKG with a score of 0.925\r\n Y at 199 in IKDKYGKDA with a score of 0.879\r\n\r\nNetphos predictions for protein 'ENPL_HUMAN' (threshold score is 0.8):\r\n S at 38 in DLGKSREGS with a score of 0.993\r\n S at 42 in SREGSRTDD with a score of 0.998\r\n S at 73 in LREKSEKFA with a score of 0.996\r\n S at 119 in IRLISLTDE with a score of 0.987\r\n S at 127 in ENALSGNEE with a score of 0.941\r\n S at 169 in TIAKSGTSE with a score of 0.928\r\n S at 187 in EDGQSTSEL with a score of 0.923\r\n S at 213 in VIVTSKHNN with a score of 0.943\r\n S at 227 in WESDSNEFS with a score of 0.96\r\n S at 284 in YVWSSKTET with a score of 0.99\r\n S at 306 in EKEESDDEA with a score of 0.991\r\n S at 347 in WQRPSKEVE with a score of 0.993\r\n S at 363 in YKSFSKESD with a score of 0.996\r\n S at 403 in DEYGSKKSD with a score of 0.981\r\n S at 515 in RFQSSHHPT with a score of 0.851\r\n S at 545 in MAGSSRKEA with a score of 0.997\r\n S at 551 in KEAESSPFV with a score of 0.859\r\n S at 552 in EAESSPFVE with a score of 0.92\r\n S at 601 in KFDESEKTK with a score of 0.968\r\n S at 607 in KTKESREAV with a score of 0.985\r\n S at 637 in KAVVSQRLT with a score of 0.947\r\n S at 680 in NYYASQKKT with a score of 0.989\r\n S at 796 in TAKESTAEK with a score of 0.971\r\n T at 30 in DVDGTVEED with a score of 0.857\r\n T at 133 in NEELTVKIK with a score of 0.865\r\n T at 240 in PRGNTLGRG with a score of 0.816\r\n T at 246 in GRGTTITLV with a score of 0.812\r\n T at 323 in KKPKTKKVE with a score of 0.905\r\n T at 669 in QAYQTGKDI with a score of 0.833\r\n T at 766 in EPEETAEDT with a score of 0.948\r\n T at 770 in TAEDTTEDT with a score of 0.972\r\n T at 774 in TTEDTEQDE with a score of 0.809\r\n T at 792 in EEEETAKES with a score of 0.982\r\n Y at 258 in EASDYLELD with a score of 0.927\r\n Y at 280 in NFPIYVWSS with a score of 0.852\r\n Y at 355 in EEDEYKAFY with a score of 0.99\r\n Y at 408 in KKSDYIKLY with a score of 0.958\r\n Y at 429 in MMPKYLNFV with a score of 0.89\r\n Y at 480 in ADDKYNDTF with a score of 0.965\r\n Y at 527 in SLDQYVERM with a score of 0.871\r\n Y at 567 in YEVIYLTEP with a score of 0.853\r\n\r\nNetphos predictions for protein 'ENSA_HUMAN' (threshold score is 0.8):\r\n S at 109 in QRKSSLVTS with a score of 0.985\r\n T at 14 in PAEETGEEK with a score of 0.949\r\n T at 21 in EKQDTQEKE with a score of 0.803\r\n Y at 64 in KGQKYFDSG with a score of 0.907\r\n\r\nNetphos predictions for protein 'ER29_HUMAN' (threshold score is 0.8):\r\n S at 80 in LAENSASSD with a score of 0.823\r\n S at 82 in ENSASSDDL with a score of 0.963\r\n S at 94 in EVGISDYGD with a score of 0.846\r\n S at 172 in FIRASGVEA with a score of 0.992\r\n S at 190 in DNLSSVKET with a score of 0.99\r\n Y at 115 in DKESYPVFY with a score of 0.9\r\n\r\nNetphos predictions for protein 'ER53_HUMAN' (threshold score is 0.8):\r\n S at 85 in RVAPSLKSQ with a score of 0.996\r\n S at 88 in PSLKSQRGS with a score of 0.982\r\n S at 282 in DKEISEKEK with a score of 0.997\r\n S at 325 in EIFESVGDR with a score of 0.957\r\n S at 409 in EMKNSMSET with a score of 0.981\r\n S at 418 in VRLVSGMQH with a score of 0.989\r\n T at 109 in EVEVTFRVT with a score of 0.902\r\n T at 113 in TFRVTGRGR with a score of 0.882\r\n T at 276 in KEPPTPDKE with a score of 0.918\r\n Y at 50 in FEYKYSFKG with a score of 0.933\r\n Y at 227 in DKNDYEFCA with a score of 0.966\r\n Y at 289 in EKEKYQEEF with a score of 0.952\r\n\r\nNetphos predictions for protein 'EZRI_HUMAN' (threshold score is 0.8):\r\n S at 147 in SGYLSSERL with a score of 0.991\r\n S at 248 in IRNISFNDK with a score of 0.984\r\n S at 365 in ERELSEQIQ with a score of 0.9\r\n S at 481 in YEPVSYHVQ with a score of 0.883\r\n S at 487 in HVQESLQDE with a score of 0.911\r\n S at 503 in SAELSSEGI with a score of 0.96\r\n S at 538 in SSELSQARD with a score of 0.879\r\n T at 9 in NVRVTTMDA with a score of 0.854\r\n T at 10 in VRVTTMDAE with a score of 0.937\r\n T at 234 in DDKLTPKIG with a score of 0.834\r\n T at 331 in KRRETVERE with a score of 0.982\r\n T at 357 in YEEKTKKAE with a score of 0.971\r\n T at 518 in EKRITEAEK with a score of 0.807\r\n Y at 48 in FGLHYVDNK with a score of 0.955\r\n Y at 115 in SDEIYCPPE with a score of 0.948\r\n Y at 145 in HKSGYLSSE with a score of 0.856\r\n\r\nNetphos predictions for protein 'F13A_HUMAN' (threshold score is 0.8):\r\n S at 127 in SELQSGKWG with a score of 0.938\r\n S at 141 in REDRSVRLS with a score of 0.961\r\n S at 145 in SVRLSIQSS with a score of 0.994\r\n S at 149 in SIQSSPKCI with a score of 0.99\r\n S at 173 in VLRTSRNPE with a score of 0.946\r\n S at 226 in TRSWSYGQF with a score of 0.986\r\n S at 250 in QMDLSGRGN with a score of 0.962\r\n S at 304 in LEYRSSENP with a score of 0.942\r\n S at 340 in TNYFSAHDN with a score of 0.975\r\n S at 516 in MKSRSNVDM with a score of 0.982\r\n S at 543 in FRNNSHNRY with a score of 0.959\r\n S at 581 in LEPLSFKKE with a score of 0.99\r\n S at 687 in IRPNSTVQW with a score of 0.969\r\n S at 708 in KLIASMSSD with a score of 0.804\r\n S at 730 in QRRPSM--- with a score of 0.996\r\n T at 59 in ERWDTNKVD with a score of 0.983\r\n T at 165 in VAVWTPYGV with a score of 0.944\r\n T at 639 in KVRGTQVVG with a score of 0.825\r\n Y at 69 in HTDKYENNK with a score of 0.988\r\n Y at 116 in NKGTYIPVP with a score of 0.93\r\n Y at 181 in ETDTYILFN with a score of 0.927\r\n Y at 194 in DDAVYLDNE with a score of 0.864\r\n Y at 204 in EREEYVLND with a score of 0.976\r\n Y at 441 in SDLIYITAK with a score of 0.911\r\n Y at 547 in SHNRYTITA with a score of 0.849\r\n\r\nNetphos predictions for protein 'FA5_HUMAN' (threshold score is 0.8):\r\n S at 57 in SLNLSVTSF with a score of 0.845\r\n S at 60 in LSVTSFKKI with a score of 0.83\r\n S at 80 in EKPQSTISG with a score of 0.976\r\n S at 111 in DKPLSIHPQ with a score of 0.9\r\n S at 123 in YSKLSEGAS with a score of 0.988\r\n S at 127 in SEGASYLDH with a score of 0.962\r\n S at 158 in ISEDSGPTH with a score of 0.886\r\n S at 174 in HIYYSHENL with a score of 0.971\r\n S at 223 in DESKSWSQS with a score of 0.988\r\n S at 225 in SKSWSQSSS with a score of 0.93\r\n S at 444 in SRPYSIYPH with a score of 0.985\r\n S at 453 in GVTFSPYED with a score of 0.977\r\n S at 462 in EVNSSFTSG with a score of 0.901\r\n S at 465 in SSFTSGRNN with a score of 0.939\r\n S at 507 in RPYYSDVDI with a score of 0.985\r\n S at 556 in DENKSWYLE with a score of 0.951\r\n S at 650 in MRGESVTVT with a score of 0.96\r\n S at 669 in SMNSSPRSK with a score of 0.994\r\n S at 672 in SSPRSKKLR with a score of 0.94\r\n S at 692 in DDEDSYEIF with a score of 0.977\r\n S at 701 in EPPESTVMA with a score of 0.828\r\n S at 720 in EDEESDADY with a score of 0.991\r\n S at 742 in SFRNSSLNQ with a score of 0.993\r\n S at 743 in FRNSSLNQE with a score of 0.838\r\n S at 767 in EFVSSNTDI with a score of 0.984\r\n S at 779 in SNYSSPSNI with a score of 0.978\r\n S at 799 in QKAPSHQQA with a score of 0.885\r\n S at 808 in TTAGSPLRH with a score of 0.927\r\n S at 823 in VLNSSTAEH with a score of 0.961\r\n S at 829 in AEHSSPYSE with a score of 0.993\r\n S at 851 in IRLLSLGAG with a score of 0.964\r\n S at 859 in GEFKSQEHA with a score of 0.897\r\n S at 881 in KHRFSWMKL with a score of 0.989\r\n S at 900 in QDTGSPSGM with a score of 0.988\r\n S at 917 in QDTGSPSRM with a score of 0.994\r\n S at 951 in WHLASEKGS with a score of 0.961\r\n S at 1060 in YNTFSERRL with a score of 0.944\r\n S at 1067 in RLKHSLVLH with a score of 0.804\r\n S at 1104 in HNQNSSNDT with a score of 0.963\r\n S at 1140 in DQMHSTSDP with a score of 0.994\r\n S at 1145 in TSDPSHRSS with a score of 0.994\r\n S at 1149 in SHRSSSPEL with a score of 0.996\r\n S at 1150 in HRSSSPELS with a score of 0.998\r\n S at 1174 in ISQMSPSSE with a score of 0.991\r\n S at 1176 in QMSPSSEHE with a score of 0.969\r\n S at 1196 in QVTLSPELS with a score of 0.985\r\n S at 1205 in QTNLSPDLS with a score of 0.873\r\n S at 1214 in HTTLSPELI with a score of 0.885\r\n S at 1223 in QRNLSPALG with a score of 0.972\r\n S at 1236 in SPDLSHTTL with a score of 0.831\r\n S at 1259 in QTNLSPELS with a score of 0.985\r\n S at 1295 in QTNLSPELS with a score of 0.991\r\n S at 1304 in HMTLSPELS with a score of 0.846\r\n S at 1326 in SPDLSHTTL with a score of 0.831\r\n S at 1340 in QTNLSPELS with a score of 0.985\r\n S at 1358 in QMPLSPDPS with a score of 0.956\r\n S at 1376 in QTNLSPELS with a score of 0.985\r\n S at 1385 in QTNLSPDLS with a score of 0.967\r\n S at 1439 in QVTLSPDIS with a score of 0.971\r\n S at 1495 in PSPSSPTLN with a score of 0.988\r\n S at 1533 in EEVQSSEDD with a score of 0.997\r\n S at 1534 in EVQSSEDDY with a score of 0.993\r\n S at 1560 in TNINSSRDP with a score of 0.996\r\n S at 1669 in SRPYSLHAH with a score of 0.974\r\n S at 1681 in YEKSSEGKT with a score of 0.986\r\n S at 1690 in YEDDSPEWF with a score of 0.998\r\n S at 1720 in SGPESPGSA with a score of 0.997\r\n S at 1781 in DEKKSWYYE with a score of 0.981\r\n S at 1788 in YEKKSRSSW with a score of 0.968\r\n S at 1790 in KKSRSSWRL with a score of 0.885\r\n S at 1791 in KSRSSWRLT with a score of 0.998\r\n S at 1796 in WRLTSSEMK with a score of 0.986\r\n S at 1802 in EMKKSHEFH with a score of 0.987\r\n S at 1949 in YNAWSVEKL with a score of 0.87\r\n S at 2044 in YIRISPTRA with a score of 0.997\r\n S at 2090 in SFKKSWWGD with a score of 0.893\r\n S at 2143 in QGCKSLSSE with a score of 0.841\r\n S at 2145 in CKSLSSEMY with a score of 0.974\r\n S at 2171 in YRLKSSMVD with a score of 0.95\r\n S at 2172 in RLKSSMVDK with a score of 0.97\r\n T at 312 in ISSLTPKHL with a score of 0.917\r\n T at 430 in QVRDTLKIV with a score of 0.957\r\n T at 702 in PPESTVMAT with a score of 0.893\r\n T at 1552 in DPYKTDVRT with a score of 0.807\r\n T at 1613 in IPEDTTYKK with a score of 0.971\r\n T at 1614 in PEDTTYKKV with a score of 0.965\r\n T at 1629 in DSTFTKRDP with a score of 0.968\r\n T at 1713 in VWHATERSG with a score of 0.884\r\n T at 1795 in SWRLTSSEM with a score of 0.945\r\n T at 2026 in SDASTIKEN with a score of 0.909\r\n T at 2053 in YNRPTLRLE with a score of 0.949\r\n Y at 91 in GPTLYAEVG with a score of 0.857\r\n Y at 128 in EGASYLDHT with a score of 0.855\r\n Y at 232 in SSLMYTVNG with a score of 0.803\r\n Y at 237 in TVNGYVNGT with a score of 0.801\r\n Y at 323 in GMQAYIDIK with a score of 0.898\r\n Y at 506 in TRPYYSDVD with a score of 0.912\r\n Y at 693 in DEDSYEIFE with a score of 0.989\r\n Y at 724 in SDADYDYQN with a score of 0.903\r\n Y at 956 in EKGSYEIIQ with a score of 0.976\r\n Y at 1127 in PEEHYQTFP with a score of 0.978\r\n Y at 1159 in EMLEYDRSH with a score of 0.86\r\n Y at 1484 in ESFPYPDLG with a score of 0.929\r\n Y at 1522 in DGTDYIEII with a score of 0.912\r\n Y at 1538 in SEDDYAEID with a score of 0.994\r\n Y at 1543 in AEIDYVPYD with a score of 0.953\r\n Y at 1550 in YDDPYKTDV with a score of 0.879\r\n Y at 1615 in EDTTYKKVV with a score of 0.951\r\n Y at 1686 in EGKTYEDDS with a score of 0.803\r\n Y at 1708 in SSYTYVWHA with a score of 0.918\r\n Y at 2149 in SSEMYVKSY with a score of 0.975\r\n\r\nNetphos predictions for protein 'FAC1_HUMAN' (threshold score is 0.8):\r\n S at 142 in GLPWSLYNT with a score of 0.845\r\n S at 262 in SKRSSHSNA with a score of 0.997\r\n S at 298 in IQEDSGMEP with a score of 0.984\r\n S at 397 in QFIFSPYNE with a score of 0.919\r\n T at 49 in YKTTTHVPP with a score of 0.875\r\n Y at 118 in FGPEYEITQ with a score of 0.951\r\n Y at 457 in SMWHYSHPP with a score of 0.858\r\n\r\nNetphos predictions for protein 'FHOS_HUMAN' (threshold score is 0.8):\r\n S at 87 in DTELSLEEQ with a score of 0.993\r\n S at 103 in YEEISKGRK with a score of 0.827\r\n S at 138 in ELRRSLFSL with a score of 0.954\r\n S at 141 in RSLFSLKQI with a score of 0.982\r\n S at 293 in PDQDSFYDV with a score of 0.843\r\n S at 357 in RRKPSSEEG with a score of 0.998\r\n S at 358 in RKPSSEEGK with a score of 0.997\r\n S at 364 in EGKRSRRSL with a score of 0.988\r\n S at 367 in RSRRSLEGG with a score of 0.998\r\n S at 387 in TGPASPVGP with a score of 0.964\r\n S at 393 in VGPTSSTGP with a score of 0.87\r\n S at 406 in GPASSPVGP with a score of 0.988\r\n S at 429 in SVAPSADTS with a score of 0.821\r\n S at 433 in SADTSSERS with a score of 0.993\r\n S at 434 in ADTSSERSI with a score of 0.899\r\n S at 437 in SSERSIYKA with a score of 0.993\r\n S at 486 in QLWDSPETA with a score of 0.994\r\n S at 523 in LIPASPKAE with a score of 0.993\r\n S at 540 in APRLSIGDL with a score of 0.998\r\n S at 562 in LNVESVEAG with a score of 0.966\r\n S at 613 in PLPHSVPDS with a score of 0.993\r\n S at 661 in LDPVSVDTA with a score of 0.862\r\n S at 681 in EVLPSKKAG with a score of 0.994\r\n S at 729 in EFAVSKDGI with a score of 0.893\r\n S at 792 in LDYDSMERE with a score of 0.992\r\n S at 837 in GSQSSGFEL with a score of 0.802\r\n S at 858 in VRRQSLLHH with a score of 0.992\r\n S at 906 in LERRSRAAE with a score of 0.954\r\n S at 1022 in TEKFSGVAG with a score of 0.931\r\n S at 1049 in GDADSHASM with a score of 0.864\r\n S at 1052 in DSHASMKSL with a score of 0.959\r\n S at 1059 in SLLTSRLED with a score of 0.932\r\n S at 1070 in HNRRSRGMV with a score of 0.944\r\n S at 1078 in VQSSSPIMP with a score of 0.972\r\n S at 1090 in PSTASPEEP with a score of 0.998\r\n S at 1101 in SSLPSDTSD with a score of 0.962\r\n S at 1104 in PSDTSDEIM with a score of 0.867\r\n S at 1119 in VTKSSPRAL with a score of 0.992\r\n S at 1131 in ERKRSRGNR with a score of 0.996\r\n S at 1137 in GNRKSLRRT with a score of 0.997\r\n S at 1144 in RTLKSGLGD with a score of 0.869\r\n T at 432 in PSADTSSER with a score of 0.964\r\n T at 452 in AAAETEKQV with a score of 0.899\r\n T at 465 in GRAETLAGA with a score of 0.868\r\n T at 622 in SALPTKRKT with a score of 0.929\r\n T at 626 in TKRKTVKLF with a score of 0.887\r\n T at 664 in VSVDTARLE with a score of 0.946\r\n T at 692 in RRTMTTVLD with a score of 0.959\r\n T at 853 in DVKDTVRRQ with a score of 0.853\r\n T at 930 in RARLTHFLD with a score of 0.923\r\n T at 979 in QFCHTLREF with a score of 0.823\r\n T at 1003 in QKQATYRER with a score of 0.867\r\n T at 1058 in KSLLTSRLE with a score of 0.835\r\n Y at 790 in FKLDYDSME with a score of 0.967\r\n Y at 878 in SSDLYSEIP with a score of 0.983\r\n\r\nNetphos predictions for protein 'FIBA_HUMAN' (threshold score is 0.8):\r\n S at 22 in WTADSGEGD with a score of 0.966\r\n S at 102 in NNKDSHSLT with a score of 0.936\r\n S at 131 in YNRVSEDLR with a score of 0.898\r\n S at 136 in EDLRSRIEV with a score of 0.913\r\n S at 179 in IKIRSCRGS with a score of 0.832\r\n S at 183 in SCRGSCSRA with a score of 0.991\r\n S at 274 in TRGGSTSYG with a score of 0.978\r\n S at 276 in GGSTSYGTG with a score of 0.871\r\n S at 281 in YGTGSETES with a score of 0.99\r\n S at 285 in SETESPRNP with a score of 0.996\r\n S at 294 in SSAGSWNSG with a score of 0.95\r\n S at 313 in NPGSSGTGG with a score of 0.977\r\n S at 325 in WKPGSSGPG with a score of 0.843\r\n S at 351 in QNPGSPRPG with a score of 0.979\r\n S at 364 in WNPGSSERG with a score of 0.98\r\n S at 365 in NPGSSERGS with a score of 0.848\r\n S at 369 in SERGSAGHW with a score of 0.972\r\n S at 380 in ESSVSGSTG with a score of 0.916\r\n S at 388 in GQWHSESGS with a score of 0.826\r\n S at 397 in FRPDSPGSG with a score of 0.994\r\n S at 436 in KLVTSKGDK with a score of 0.995\r\n S at 451 in EKVTSGSTT with a score of 0.974\r\n S at 453 in VTSGSTTTT with a score of 0.928\r\n S at 460 in TTRRSCSKT with a score of 0.997\r\n S at 462 in RRSCSKTVT with a score of 0.992\r\n S at 485 in EVVTSEDGS with a score of 0.983\r\n S at 489 in SEDGSDCPE with a score of 0.944\r\n S at 542 in GEFVSETES with a score of 0.828\r\n S at 549 in ESRGSESGI with a score of 0.997\r\n S at 560 in NTKESSSHH with a score of 0.987\r\n S at 562 in KESSSHHPG with a score of 0.99\r\n S at 576 in SRGKSSSYS with a score of 0.992\r\n S at 578 in GKSSSYSKQ with a score of 0.989\r\n S at 580 in SSSYSKQFT with a score of 0.922\r\n S at 586 in QFTSSTSYN with a score of 0.886\r\n S at 588 in TSSTSYNRG with a score of 0.991\r\n S at 594 in NRGDSTFES with a score of 0.997\r\n S at 600 in FESKSYKMA with a score of 0.997\r\n S at 609 in DEAGSEADH with a score of 0.995\r\n S at 618 in EGTHSTKRG with a score of 0.988\r\n S at 655 in KLPGSSKIF with a score of 0.908\r\n S at 756 in ALQVSSYEG with a score of 0.926\r\n S at 757 in LQVSSYEGT with a score of 0.968\r\n S at 770 in LIEGSVEEG with a score of 0.984\r\n S at 786 in NMQFSTFDR with a score of 0.926\r\n S at 833 in PRNNSPYEI with a score of 0.997\r\n T at 275 in RGGSTSYGT with a score of 0.947\r\n T at 424 in VSPGTRREY with a score of 0.958\r\n T at 456 in GSTTTTRRS with a score of 0.97\r\n T at 457 in STTTTRRSC with a score of 0.906\r\n T at 505 in SGIGTLDGF with a score of 0.831\r\n T at 525 in DTASTGKTF with a score of 0.824\r\n T at 619 in GTHSTKRGH with a score of 0.906\r\n Y at 62 in EDWNYKCPS with a score of 0.846\r\n Y at 127 in RDNTYNRVS with a score of 0.803\r\n Y at 589 in SSTSYNRGD with a score of 0.848\r\n Y at 737 in GNEAYAEYH with a score of 0.865\r\n Y at 777 in EGAEYTSHN with a score of 0.92\r\n Y at 835 in NNSPYEIEN with a score of 0.924\r\n\r\nNetphos predictions for protein 'FIBB_HUMAN' (threshold score is 0.8):\r\n S at 6 in KRMVSWSFH with a score of 0.995\r\n S at 42 in EGFFSARGH with a score of 0.827\r\n S at 58 in EEAPSLRPA with a score of 0.992\r\n S at 126 in PIRNSVDEL with a score of 0.989\r\n S at 138 in VEAVSQTSS with a score of 0.841\r\n S at 174 in NEYSSELEK with a score of 0.828\r\n S at 214 in QKLESDVSA with a score of 0.8\r\n S at 237 in IPVVSGKEC with a score of 0.981\r\n S at 262 in QPDSSVKPY with a score of 0.996\r\n S at 425 in RKQCSKEDG with a score of 0.997\r\n S at 473 in NWKGSWYSM with a score of 0.919\r\n S at 481 in MRKMSMKIR with a score of 0.993\r\n T at 81 in KAAATQKKV with a score of 0.94\r\n T at 417 in DGWLTSDPR with a score of 0.916\r\n\r\nNetphos predictions for protein 'FIBG_HUMAN' (threshold score is 0.8):\r\n S at 43 in ERFGSYCPT with a score of 0.947\r\n S at 56 in ADFLSTYQT with a score of 0.833\r\n S at 68 in KDLQSLEDI with a score of 0.995\r\n S at 99 in NPDESSKPN with a score of 0.973\r\n S at 112 in ATLKSRKML with a score of 0.964\r\n S at 245 in FGHLSPTGT with a score of 0.806\r\n S at 284 in NGRTSTADY with a score of 0.994\r\n S at 326 in GDDPSDKFF with a score of 0.857\r\n S at 384 in YSKASTPNG with a score of 0.982\r\n S at 404 in TRWYSMKKT with a score of 0.995\r\n S at 446 in TEYDSLYPE with a score of 0.942\r\n T at 60 in STYQTKVDK with a score of 0.934\r\n T at 442 in HPAETEYDS with a score of 0.931\r\n Y at 288 in STADYAMFK with a score of 0.87\r\n Y at 300 in EADKYRLTY with a score of 0.84\r\n Y at 444 in AETEYDSLY with a score of 0.981\r\n\r\nNetphos predictions for protein 'FLNA_HUMAN' (threshold score is 0.8):\r\n S at 6 in SSSHSRAGQ with a score of 0.984\r\n S at 118 in LDRESIKLV with a score of 0.962\r\n S at 310 in VETRSAGQG with a score of 0.966\r\n S at 368 in HIAKSPFEV with a score of 0.9\r\n S at 377 in YVDKSQGDA with a score of 0.995\r\n S at 440 in ARGDSTYRC with a score of 0.979\r\n S at 512 in KGAGSGELK with a score of 0.977\r\n S at 564 in NIGRSPFEV with a score of 0.934\r\n S at 612 in TLGFSVEGP with a score of 0.971\r\n S at 657 in DIRLSPFMA with a score of 0.994\r\n S at 860 in ATPTSPIRV with a score of 0.918\r\n S at 869 in KVEPSHDAS with a score of 0.813\r\n S at 873 in SHDASKVKA with a score of 0.921\r\n S at 962 in KSPFSVAVS with a score of 0.919\r\n S at 966 in SVAVSPSLD with a score of 0.946\r\n S at 1084 in GSAGSPARF with a score of 0.868\r\n S at 1125 in TCSVSYVPT with a score of 0.884\r\n S at 1148 in HIPGSPFKA with a score of 0.897\r\n S at 1190 in SSAGSAELT with a score of 0.83\r\n S at 1401 in EAKMSCMDN with a score of 0.993\r\n S at 1411 in DGSCSVEYI with a score of 0.856\r\n S at 1533 in EVPRSPFKV with a score of 0.877\r\n S at 1630 in EIPFSPYRV with a score of 0.988\r\n S at 1694 in TPDGSEVDV with a score of 0.913\r\n S at 1812 in VRMPSGKVA with a score of 0.983\r\n S at 1906 in IEGPSKAEI with a score of 0.836\r\n S at 1911 in KAEISCTDN with a score of 0.964\r\n S at 1957 in TGDDSMRMS with a score of 0.969\r\n S at 1976 in PINISETDL with a score of 0.965\r\n S at 1991 in VVPPSGREE with a score of 0.997\r\n S at 2040 in PVVISQSEI with a score of 0.935\r\n S at 2053 in RVRVSGQGL with a score of 0.968\r\n S at 2083 in GLSLSIEGP with a score of 0.902\r\n S at 2088 in IEGPSKVDI with a score of 0.948\r\n S at 2131 in GSPFSVKVT with a score of 0.987\r\n S at 2143 in RVKESITRR with a score of 0.952\r\n S at 2152 in RRAPSVANV with a score of 0.968\r\n S at 2163 in HCDLSLKIP with a score of 0.897\r\n S at 2170 in IPEISIQDM with a score of 0.805\r\n S at 2180 in AQVTSPSGK with a score of 0.955\r\n S at 2182 in VTSPSGKTH with a score of 0.969\r\n S at 2279 in VEGPSKAEI with a score of 0.897\r\n S at 2284 in KAEISFEDR with a score of 0.995\r\n S at 2308 in DYEVSVKFN with a score of 0.849\r\n S at 2327 in VPVASPSGD with a score of 0.837\r\n S at 2339 in LTVSSLQES with a score of 0.821\r\n S at 2370 in AKVHSPSGA with a score of 0.991\r\n S at 2414 in HIPGSPFKI with a score of 0.953\r\n S at 2470 in IDGPSKVKM with a score of 0.878\r\n S at 2526 in VSNHSLHET with a score of 0.989\r\n S at 2615 in SRLYSVSYL with a score of 0.811\r\n S at 2640 in HIPGSPYRV with a score of 0.917\r\n T at 23 in GGVDTRDAE with a score of 0.835\r\n T at 31 in EMPATEKDL with a score of 0.934\r\n T at 167 in AKKQTPKQR with a score of 0.936\r\n T at 353 in EVTGTHKVT with a score of 0.938\r\n T at 441 in RGDSTYRCS with a score of 0.846\r\n T at 839 in TVKYTPRGA with a score of 0.891\r\n T at 992 in DQEFTVKSK with a score of 0.81\r\n T at 1089 in PARFTIDTK with a score of 0.809\r\n T at 1174 in LERATAGEV with a score of 0.849\r\n T at 1255 in PAVDTSGVQ with a score of 0.814\r\n T at 1276 in REATTEFSV with a score of 0.868\r\n T at 1322 in KVEYTPYEE with a score of 0.978\r\n T at 1475 in FQVDTSKAG with a score of 0.829\r\n T at 1949 in GSPFTARVT with a score of 0.892\r\n T at 1953 in TARVTGDDS with a score of 0.817\r\n T at 2101 in LEDGTCRVT with a score of 0.906\r\n T at 2336 in ARRLTVSSL with a score of 0.925\r\n T at 2599 in HGPRTPCEE with a score of 0.99\r\n Y at 373 in PFEVYVDKS with a score of 0.949\r\n Y at 791 in HEPTYFTVD with a score of 0.965\r\n Y at 1041 in EEGPYEVEV with a score of 0.93\r\n Y at 1047 in VEVTYDGVP with a score of 0.819\r\n Y at 1519 in REGPYSISV with a score of 0.894\r\n Y at 1846 in MDIRYDNMH with a score of 0.803\r\n Y at 1862 in FYVDYVNCG with a score of 0.937\r\n Y at 2305 in EPGDYEVSV with a score of 0.869\r\n\r\nNetphos predictions for protein 'FPPS_HUMAN' (threshold score is 0.8):\r\n S at 81 in QDADSLQRA with a score of 0.828\r\n S at 195 in KRYKSIVKY with a score of 0.988\r\n T at 29 in VRVLTEDEM with a score of 0.961\r\n T at 63 in NRGLTVVVA with a score of 0.935\r\n Y at 10 in NSDVYAQEK with a score of 0.892\r\n Y at 153 in EQPYYLNLI with a score of 0.802\r\n Y at 193 in TEKRYKSIV with a score of 0.81\r\n Y at 322 in EEDSYSHIM with a score of 0.981\r\n\r\nNetphos predictions for protein 'G19P_HUMAN' (threshold score is 0.8):\r\n S at 24 in PRGVSLTNH with a score of 0.986\r\n S at 62 in CKDGSDEPG with a score of 0.974\r\n S at 126 in KERESLQQM with a score of 0.984\r\n S at 168 in AGKKSLEDQ with a score of 0.997\r\n S at 230 in DGTVSVTEL with a score of 0.937\r\n S at 249 in DGALSEAEA with a score of 0.96\r\n S at 267 in TDATSFYDR with a score of 0.986\r\n S at 293 in LPAPSAPDL with a score of 0.951\r\n S at 310 in PVPSSPTEE with a score of 0.997\r\n S at 334 in EEEDSEEAP with a score of 0.993\r\n S at 348 in PQPASPAEE with a score of 0.992\r\n S at 382 in EAERSLKDM with a score of 0.997\r\n S at 389 in DMEESIRNL with a score of 0.958\r\n S at 441 in KLGGSPTSL with a score of 0.807\r\n S at 492 in TMVTSTTEP with a score of 0.945\r\n S at 497 in TTEPSRCEY with a score of 0.959\r\n T at 115 in ICENTCKEK with a score of 0.967\r\n T at 178 in EMLRTVKEE with a score of 0.939\r\n T at 228 in DMDGTVSVT with a score of 0.864\r\n T at 478 in PNRSTTVRL with a score of 0.807\r\n T at 479 in NRSTTVRLL with a score of 0.973\r\n Y at 55 in VNDDYCDCK with a score of 0.974\r\n Y at 86 in YKPLYIPSN with a score of 0.926\r\n Y at 358 in KMPPYDEQT with a score of 0.846\r\n\r\nNetphos predictions for protein 'G3P1_HUMAN' (threshold score is 0.8):\r\n S at 189 in KTVDSPSGK with a score of 0.909\r\n S at 191 in VDSPSGKLW with a score of 0.99\r\n S at 240 in TANVSVLDL with a score of 0.915\r\n S at 292 in SNHSSIFDA with a score of 0.87\r\n S at 311 in VKLVSWYDN with a score of 0.997\r\n T at 58 in KFHGTVKAE with a score of 0.868\r\n Y at 139 in NHFKYANSL with a score of 0.866\r\n Y at 254 in KPAKYDDIK with a score of 0.887\r\n\r\nNetphos predictions for protein 'G3P2_HUMAN' (threshold score is 0.8):\r\n S at 82 in ERDPSKIKW with a score of 0.897\r\n S at 191 in VDGPSGKLW with a score of 0.982\r\n S at 240 in TANVSVVDL with a score of 0.97\r\n S at 292 in DTHSSTFDA with a score of 0.973\r\n S at 311 in VKLISWYDN with a score of 0.996\r\n T at 58 in KFHGTVKAE with a score of 0.868\r\n Y at 139 in NHEKYDNSL with a score of 0.956\r\n Y at 254 in KPAKYDDIK with a score of 0.887\r\n Y at 319 in NEFGYSNRV with a score of 0.897\r\n\r\nNetphos predictions for protein 'G6PD_HUMAN' (threshold score is 0.8):\r\n S at 83 in IRKQSEPFF with a score of 0.918\r\n S at 122 in QRLNSHMNA with a score of 0.958\r\n S at 183 in SDRLSNHIS with a score of 0.967\r\n S at 277 in EKPASTNSD with a score of 0.979\r\n S at 331 in VPRGSTTAT with a score of 0.996\r\n S at 417 in NPEESELDL with a score of 0.979\r\n T at 90 in FFKATPEEK with a score of 0.879\r\n T at 235 in CVILTFKEP with a score of 0.816\r\n T at 505 in QYEGTYKWV with a score of 0.848\r\n Y at 427 in YGNRYKNVK with a score of 0.908\r\n Y at 506 in YEGTYKWVN with a score of 0.972\r\n\r\nNetphos predictions for protein 'G6PI_HUMAN' (threshold score is 0.8):\r\n S at 175 in LKPYSSGGP with a score of 0.883\r\n S at 185 in VWYVSNIDG with a score of 0.972\r\n S at 367 in YITKSGTRV with a score of 0.874\r\n S at 441 in MRGKSTEEA with a score of 0.998\r\n S at 455 in AAGKSPEDL with a score of 0.998\r\n S at 541 in SHDASTNGL with a score of 0.861\r\n T at 109 in NRSNTPILV with a score of 0.898\r\n T at 250 in LSTNTTKVK with a score of 0.882\r\n T at 310 in HFRTTPLEK with a score of 0.99\r\n Y at 363 in SNGKYITKS with a score of 0.961\r\n\r\nNetphos predictions for protein 'GBAZ_HUMAN' (threshold score is 0.8):\r\n S at 5 in GCRQSSEEK with a score of 0.994\r\n S at 6 in CRQSSEEKE with a score of 0.994\r\n S at 15 in AARRSRRID with a score of 0.988\r\n S at 26 in LRSESQRQR with a score of 0.963\r\n S at 43 in GTSNSGKST with a score of 0.878\r\n S at 115 in GPAESKGEI with a score of 0.991\r\n S at 144 in FSRSSEYHL with a score of 0.965\r\n S at 228 in CVELSGYDL with a score of 0.987\r\n T at 240 in EDNQTSRMA with a score of 0.891\r\n T at 295 in KGQNTYEEA with a score of 0.905\r\n\r\nNetphos predictions for protein 'GBGB_HUMAN' (threshold score is 0.8):\r\n S at 48 in IEERSGEDP with a score of 0.996\r\n\r\nNetphos predictions for protein 'GDIA_HUMAN' (threshold score is 0.8):\r\n S at 65 in GPPESMGRG with a score of 0.977\r\n S at 121 in YKVPSTETE with a score of 0.985\r\n S at 167 in PQTTSMRDV with a score of 0.984\r\n S at 270 in VGVKSEGEV with a score of 0.832\r\n T at 166 in DPQTTSMRD with a score of 0.947\r\n T at 355 in AIASTTVET with a score of 0.864\r\n T at 408 in YDATTHFET with a score of 0.958\r\n T at 427 in RMAGTAFDF with a score of 0.81\r\n Y at 5 in MDEEYDVIV with a score of 0.874\r\n Y at 53 in LEELYKRFQ with a score of 0.903\r\n Y at 93 in KMLLYTEVT with a score of 0.812\r\n Y at 99 in EVTRYLDFK with a score of 0.818\r\n Y at 197 in RTDDYLDQP with a score of 0.979\r\n Y at 286 in CDPSYIPDR with a score of 0.849\r\n Y at 333 in KSDIYVCMI with a score of 0.967\r\n Y at 349 in AQGKYIAIA with a score of 0.839\r\n Y at 387 in ISDLYEPID with a score of 0.831\r\n Y at 421 in IKDIYKRMA with a score of 0.974\r\n\r\nNetphos predictions for protein 'GDIR_HUMAN' (threshold score is 0.8):\r\n S at 47 in KDDESLRKY with a score of 0.986\r\n S at 96 in GDLESFKKQ with a score of 0.967\r\n S at 176 in RGSYSIKSR with a score of 0.921\r\n S at 191 in TDHLSWEWN with a score of 0.988\r\n T at 160 in YEFLTPVEE with a score of 0.988\r\n T at 197 in EWNLTIKKD with a score of 0.851\r\n Y at 144 in DKTDYMVGS with a score of 0.938\r\n Y at 156 in RAEEYEFLT with a score of 0.938\r\n\r\nNetphos predictions for protein 'GELS_HUMAN' (threshold score is 0.8):\r\n S at 35 in SRGASQAGA with a score of 0.978\r\n S at 51 in ARPNSMVVE with a score of 0.824\r\n S at 206 in EVPVSWESF with a score of 0.992\r\n S at 253 in DNERSGRAR with a score of 0.887\r\n S at 261 in RVHVSEEGT with a score of 0.991\r\n S at 498 in QGAQSTQDE with a score of 0.936\r\n S at 552 in KGGTSREGG with a score of 0.981\r\n S at 572 in VRANSAGAT with a score of 0.986\r\n S at 636 in VAEGSEPDG with a score of 0.919\r\n S at 654 in AYRTSPRLK with a score of 0.976\r\n S at 715 in VGKDSQEEE with a score of 0.996\r\n S at 726 in EALTSAKRY with a score of 0.989\r\n T at 201 in VVRATEVPV with a score of 0.91\r\n T at 265 in SEEGTEPEA with a score of 0.916\r\n T at 287 in GTEDTAKED with a score of 0.991\r\n T at 375 in YPKQTQVSV with a score of 0.93\r\n T at 499 in GAQSTQDEV with a score of 0.953\r\n T at 551 in YKGGTSREG with a score of 0.982\r\n Y at 95 in TGDAYVILK with a score of 0.945\r\n Y at 138 in QLDDYLNGR with a score of 0.834\r\n Y at 167 in SGLKYKKGG with a score of 0.871\r\n Y at 235 in NSNRYERLK with a score of 0.808\r\n Y at 474 in GGDSYIILY with a score of 0.869\r\n Y at 767 in WDDDYWSVD with a score of 0.989\r\n\r\nNetphos predictions for protein 'GGH_HUMAN' (threshold score is 0.8):\r\n S at 105 in DLRRSDYAK with a score of 0.964\r\n S at 121 in LSIQSFDDG with a score of 0.916\r\n S at 200 in KWSLSVKNF with a score of 0.865\r\n S at 229 in IEFISTMEG with a score of 0.861\r\n S at 288 in HHFKSESEE with a score of 0.979\r\n S at 290 in FKSESEEEK with a score of 0.988\r\n T at 30 in PHGDTAKKP with a score of 0.908\r\n T at 79 in RLDLTEKDY with a score of 0.846\r\n T at 155 in TATDTVDVA with a score of 0.878\r\n Y at 83 in TEKDYEILF with a score of 0.874\r\n Y at 107 in RRSDYAKVA with a score of 0.95\r\n Y at 234 in TMEGYKYPV with a score of 0.862\r\n Y at 250 in EKAPYEWKN with a score of 0.941\r\n\r\nNetphos predictions for protein 'GIPC_HUMAN' (threshold score is 0.8):\r\n S at 164 in IKEGSVIDH with a score of 0.995\r\n S at 225 in ISQRSAGGR with a score of 0.8\r\n S at 247 in LRLRSRGPA with a score of 0.982\r\n T at 208 in GRTFTLKLT with a score of 0.97\r\n T at 238 in PQLGTGRGT with a score of 0.878\r\n T at 242 in TGRGTLRLR with a score of 0.959\r\n Y at 83 in VKELYGKIA with a score of 0.892\r\n\r\nNetphos predictions for protein 'GLO2_HUMAN' (threshold score is 0.8):\r\n S at 205 in KEKYSIGEP with a score of 0.988\r\n T at 86 in IGALTHKIT with a score of 0.934\r\n T at 244 in DPVTTMRAV with a score of 0.979\r\n Y at 175 in CGHEYTINN with a score of 0.866\r\n Y at 204 in AKEKYSIGE with a score of 0.937\r\n\r\nNetphos predictions for protein 'GPBA_HUMAN' (threshold score is 0.8):\r\n S at 267 in QCDNSDKFP with a score of 0.917\r\n S at 336 in ASLDSQMPS with a score of 0.907\r\n S at 348 in PTQESTKEQ with a score of 0.992\r\n S at 378 in KTPKSTTEP with a score of 0.997\r\n S at 385 in EPTPSPTTS with a score of 0.989\r\n S at 415 in PEPTSEPAP with a score of 0.95\r\n S at 420 in EPAPSPTTP with a score of 0.989\r\n S at 460 in TKPVSLLES with a score of 0.993\r\n S at 464 in SLLESTKKT with a score of 0.958\r\n S at 489 in HLESSRNDP with a score of 0.974\r\n S at 603 in GRRPSALSQ with a score of 0.98\r\n S at 606 in PSALSQGRG with a score of 0.987\r\n S at 625 in YSGHSL--- with a score of 0.811\r\n T at 300 in PEEDTEGDK with a score of 0.955\r\n T at 321 in KAHTTPWGL with a score of 0.95\r\n T at 353 in TKEQTTFPP with a score of 0.806\r\n T at 360 in PPRWTPNFT with a score of 0.935\r\n T at 375 in TFSKTPKST with a score of 0.955\r\n T at 383 in TTEPTPSPT with a score of 0.929\r\n T at 388 in PSPTTSEPV with a score of 0.929\r\n T at 410 in PSPTTPEPT with a score of 0.987\r\n T at 414 in TPEPTSEPA with a score of 0.805\r\n T at 423 in PSPTTPEPT with a score of 0.987\r\n T at 427 in TPEPTPIPT with a score of 0.925\r\n T at 447 in TSLITPKST with a score of 0.874\r\n T at 455 in TFLTTTKPV with a score of 0.882\r\n Y at 201 in ENSLYTIPK with a score of 0.951\r\n Y at 244 in AENVYVWKQ with a score of 0.94\r\n Y at 292 in DTDLYDYYP with a score of 0.862\r\n\r\nNetphos predictions for protein 'GPDM_HUMAN' (threshold score is 0.8):\r\n S at 56 in REPPSREAQ with a score of 0.984\r\n S at 68 in LQNTSEFDI with a score of 0.979\r\n S at 105 in DDFSSGTSS with a score of 0.954\r\n S at 108 in SSGTSSRST with a score of 0.995\r\n S at 111 in TSSRSTKLI with a score of 0.98\r\n S at 296 in PFTDSVRKM with a score of 0.89\r\n S at 324 in PGYYSPESM with a score of 0.969\r\n S at 327 in YSPESMGLL with a score of 0.888\r\n S at 368 in HPIPSEEDI with a score of 0.905\r\n S at 607 in MGYKSRSEQ with a score of 0.991\r\n S at 609 in YKSRSEQLT with a score of 0.931\r\n S at 623 in SLLPSDIDR with a score of 0.973\r\n S at 697 in KGRVSGSRL with a score of 0.993\r\n T at 357 in GTTDTPTDV with a score of 0.978\r\n T at 613 in SEQLTDRSE with a score of 0.839\r\n Y at 39 in MNLAYVKAA with a score of 0.812\r\n Y at 322 in VMPGYYSPE with a score of 0.827\r\n Y at 440 in KWTTYRSMA with a score of 0.807\r\n Y at 532 in SEFPYIEAE with a score of 0.969\r\n Y at 539 in AEVKYGIKE with a score of 0.887\r\n Y at 586 in NWDDYKKQE with a score of 0.868\r\n Y at 600 in RKFLYYEMG with a score of 0.892\r\n\r\nNetphos predictions for protein 'GPV_HUMAN' (threshold score is 0.8):\r\n S at 106 in TLRLSRNKI with a score of 0.949\r\n S at 208 in NRLVSLDSG with a score of 0.972\r\n S at 369 in LRQVSLRRN with a score of 0.997\r\n S at 387 in FRNLSSLES with a score of 0.913\r\n S at 486 in PAADSSSEA with a score of 0.996\r\n S at 487 in AADSSSEAP with a score of 0.953\r\n S at 519 in GQDHSPFWG with a score of 0.968\r\n T at 512 in QPVTTGKGQ with a score of 0.848\r\n\r\nNetphos predictions for protein 'GR75_HUMAN' (threshold score is 0.8):\r\n S at 42 in FRLVSRRDY with a score of 0.996\r\n S at 148 in IVRASNGDA with a score of 0.995\r\n S at 200 in YFNDSQRQA with a score of 0.913\r\n S at 376 in DAEVSKSDI with a score of 0.962\r\n S at 378 in EVSKSDIGE with a score of 0.956\r\n S at 408 in GRAPSKAVN with a score of 0.819\r\n S at 533 in IVHVSAKDK with a score of 0.988\r\n S at 554 in SGGLSKDDI with a score of 0.996\r\n S at 627 in ARKDSETGE with a score of 0.863\r\n S at 657 in KKMASEREG with a score of 0.996\r\n S at 662 in EREGSGSSG with a score of 0.99\r\n S at 664 in EGSGSSGTG with a score of 0.926\r\n T at 87 in GARTTPSVV with a score of 0.992\r\n T at 294 in FKRETGVDL with a score of 0.854\r\n T at 462 in INRNTTIPT with a score of 0.872\r\n T at 594 in HDTETKMEE with a score of 0.85\r\n Y at 46 in SRRDYASEA with a score of 0.876\r\n Y at 568 in NAEKYAEED with a score of 0.954\r\n Y at 652 in FEMAYKKMA with a score of 0.903\r\n\r\nNetphos predictions for protein 'GR78_HUMAN' (threshold score is 0.8):\r\n S at 86 in NQLTSNPEN with a score of 0.834\r\n S at 300 in KRALSSQHQ with a score of 0.965\r\n S at 301 in RALSSQHQA with a score of 0.838\r\n S at 311 in IEIESFYEG with a score of 0.991\r\n S at 354 in DLKKSDIDE with a score of 0.996\r\n S at 587 in GGKLSSEDK with a score of 0.993\r\n S at 607 in EWLESHQDA with a score of 0.984\r\n T at 69 in YVAFTPEGE with a score of 0.872\r\n T at 91 in NPENTVFDA with a score of 0.955\r\n T at 274 in YKKKTGKDV with a score of 0.9\r\n T at 338 in LFRSTMKPV with a score of 0.958\r\n T at 441 in IPRNTVVPT with a score of 0.989\r\n T at 534 in QNRLTPEEI with a score of 0.906\r\n T at 561 in ERIDTRNEL with a score of 0.969\r\n T at 648 in GEEDTAEKD with a score of 0.822\r\n\r\nNetphos predictions for protein 'GSHB_HUMAN' (threshold score is 0.8):\r\n S at 36 in LLRTSQEPT with a score of 0.995\r\n S at 41 in QEPTSSEVV with a score of 0.979\r\n S at 92 in QTLSSTIKQ with a score of 0.92\r\n S at 243 in FEDISEKGS with a score of 0.99\r\n S at 247 in SEKGSLDQD with a score of 0.928\r\n S at 389 in QLKDSEERA with a score of 0.997\r\n S at 394 in EERASYILM with a score of 0.984\r\n S at 415 in LRPGSPARV with a score of 0.907\r\n T at 40 in SQEPTSSEV with a score of 0.846\r\n Y at 199 in AWELYGSPN with a score of 0.889\r\n\r\nNetphos predictions for protein 'GSHC_HUMAN' (threshold score is 0.8):\r\n S at 178 in LRRYSRRFQ with a score of 0.997\r\n T at 50 in LCGTTVRDY with a score of 0.809\r\n T at 183 in RRFQTIDIE with a score of 0.975\r\n Y at 96 in NSLKYVRPG with a score of 0.975\r\n\r\nNetphos predictions for protein 'GSP1_HUMAN' (threshold score is 0.8):\r\n S at 16 in ETEMSPEES with a score of 0.997\r\n S at 20 in SPEESWEHK with a score of 0.991\r\n S at 36 in PGGGSLGDG with a score of 0.984\r\n S at 46 in PPEESAHEM with a score of 0.91\r\n S at 62 in PKPKSVVAP with a score of 0.982\r\n S at 174 in IGGASQADL with a score of 0.945\r\n S at 230 in TVNWSNERY with a score of 0.893\r\n S at 436 in VDKKSGEKS with a score of 0.991\r\n S at 440 in SGEKSKTRP with a score of 0.993\r\n T at 462 in RTAGTICLE with a score of 0.889\r\n T at 478 in MGRFTLRDE with a score of 0.988\r\n Y at 109 in TLEKYEREA with a score of 0.831\r\n Y at 122 in RETWYLSWA with a score of 0.927\r\n Y at 234 in SNERYEECK with a score of 0.979\r\n Y at 310 in IVDKYKDMG with a score of 0.976\r\n\r\nNetphos predictions for protein 'GTK1_HUMAN' (threshold score is 0.8):\r\n S at 15 in YDVLSPYSW with a score of 0.908\r\n S at 147 in KAGMSAEQA with a score of 0.906\r\n T at 160 in EKIATPKVK with a score of 0.974\r\n Y at 64 in RKGLYMAND with a score of 0.905\r\n\r\nNetphos predictions for protein 'GTO1_HUMAN' (threshold score is 0.8):\r\n S at 8 in ESARSLGKG with a score of 0.963\r\n S at 171 in GNSISMIDY with a score of 0.902\r\n S at 218 in ALLTSEKDW with a score of 0.994\r\n S at 233 in YLQNSPEAC with a score of 0.953\r\n T at 151 in RKEFTKLEE with a score of 0.82\r\n T at 158 in EEVLTNKKT with a score of 0.925\r\n Y at 108 in PDDPYEKAC with a score of 0.972\r\n Y at 139 in NKEDYAGLK with a score of 0.973\r\n Y at 175 in SMIDYLIWP with a score of 0.899\r\n\r\nNetphos predictions for protein 'GTP_HUMAN' (threshold score is 0.8):\r\n S at 27 in DQGQSWKEE with a score of 0.996\r\n S at 42 in WQEGSLKAS with a score of 0.806\r\n S at 184 in VGRLSARPK with a score of 0.964\r\n Y at 3 in --PPYTVVY with a score of 0.884\r\n Y at 118 in GKDDYVKAL with a score of 0.983\r\n Y at 198 in ASPEYVNLP with a score of 0.989\r\n\r\nNetphos predictions for protein 'GTR3_HUMAN' (threshold score is 0.8):\r\n S at 116 in KVAKSVEML with a score of 0.976\r\n S at 208 in FCPESPRFL with a score of 0.881\r\n S at 246 in MKDESARMS with a score of 0.918\r\n S at 250 in SARMSQEKQ with a score of 0.997\r\n S at 264 in LFRVSSYRQ with a score of 0.993\r\n S at 265 in FRVSSYRQP with a score of 0.925\r\n S at 475 in GADRSGKDG with a score of 0.995\r\n T at 3 in --MGTQKVT with a score of 0.932\r\n Y at 306 in QEPIYATIG with a score of 0.986\r\n\r\nNetphos predictions for protein 'H105_HUMAN' (threshold score is 0.8):\r\n S at 31 in ANEFSDRCT with a score of 0.939\r\n S at 113 in EHLFSVEQI with a score of 0.865\r\n S at 132 in TAENSLKKP with a score of 0.904\r\n S at 155 in AERRSVLDA with a score of 0.997\r\n S at 190 in QDLPSLDEK with a score of 0.975\r\n S at 258 in LDAKSKIRA with a score of 0.981\r\n S at 278 in KKLMSSNST with a score of 0.809\r\n S at 298 in DKDVSGKMN with a score of 0.994\r\n S at 304 in KMNRSQFEE with a score of 0.894\r\n S at 336 in VEDVSAVEI with a score of 0.982\r\n S at 393 in VREFSVTDA with a score of 0.998\r\n S at 496 in ISTASMVEK with a score of 0.986\r\n S at 509 in ENEMSSEAD with a score of 0.831\r\n S at 510 in NEMSSEADM with a score of 0.99\r\n S at 554 in QTSQSPPSP with a score of 0.909\r\n S at 557 in QSPPSPELT with a score of 0.997\r\n S at 562 in PELTSEENK with a score of 0.967\r\n S at 754 in KVEKSVNEV with a score of 0.941\r\n S at 773 in QAKKSLDQD with a score of 0.863\r\n S at 809 in PKIESPKLE with a score of 0.991\r\n T at 413 in DSEDTEGVH with a score of 0.8\r\n T at 561 in SPELTSEEN with a score of 0.955\r\n T at 700 in MKIGTPVKV with a score of 0.927\r\n Y at 14 in SQSCYIAVA with a score of 0.829\r\n Y at 89 in ENLSYDLVP with a score of 0.897\r\n Y at 252 in FKTKYKLDA with a score of 0.885\r\n Y at 643 in EEYVYEFRD with a score of 0.841\r\n Y at 677 in EDWLYEEGE with a score of 0.894\r\n Y at 688 in AKQAYVDKL with a score of 0.962\r\n Y at 740 in KDEKYNHID with a score of 0.959\r\n\r\nNetphos predictions for protein 'HBA_HUMAN' (threshold score is 0.8):\r\n S at 138 in TVLTSKYR- with a score of 0.859\r\n T at 118 in PAEFTPAVH with a score of 0.8\r\n\r\nNetphos predictions for protein 'HBB_HUMAN' (threshold score is 0.8):\r\n S at 49 in FGDLSTPDA with a score of 0.987\r\n T at 4 in -VHLTPEEK with a score of 0.959\r\n\r\nNetphos predictions for protein 'HEM2_HUMAN' (threshold score is 0.8):\r\n S at 9 in SVLHSGYFH with a score of 0.845\r\n S at 92 in DERGSAADS with a score of 0.998\r\n S at 96 in SAADSEESP with a score of 0.994\r\n S at 195 in VSVMSYSAK with a score of 0.969\r\n S at 197 in VMSYSAKFA with a score of 0.809\r\n S at 215 in AAKSSPAFG with a score of 0.935\r\n\r\nNetphos predictions for protein 'HPRT_HUMAN' (threshold score is 0.8):\r\n S at 88 in LNRNSDRSI with a score of 0.983\r\n S at 91 in NSDRSIPMT with a score of 0.989\r\n S at 103 in IRLKSYCND with a score of 0.963\r\n S at 109 in CNDQSTGDI with a score of 0.943\r\n S at 170 in RTPRSVGYK with a score of 0.825\r\n T at 45 in IMDRTERLA with a score of 0.851\r\n T at 167 in LVKRTPRSV with a score of 0.874\r\n Y at 16 in DEPGYDLDL with a score of 0.918\r\n\r\nNetphos predictions for protein 'HS27_HUMAN' (threshold score is 0.8):\r\n S at 9 in RVPFSLLRG with a score of 0.958\r\n S at 15 in LRGPSWDPF with a score of 0.89\r\n S at 78 in SRALSRQLS with a score of 0.877\r\n S at 82 in SRQLSSGVS with a score of 0.976\r\n S at 86 in SSGVSEIRH with a score of 0.948\r\n S at 156 in QVSSSLSPE with a score of 0.966\r\n S at 158 in SSSLSPEGT with a score of 0.997\r\n S at 199 in EAAKSDETA with a score of 0.979\r\n T at 2 in ---MTERRV with a score of 0.941\r\n T at 162 in SPEGTLTVE with a score of 0.842\r\n Y at 54 in SWPGYVRPL with a score of 0.979\r\n Y at 133 in DEHGYISRC with a score of 0.959\r\n\r\nNetphos predictions for protein 'HS71_HUMAN' (threshold score is 0.8):\r\n S at 106 in KVQVSYKGE with a score of 0.994\r\n S at 153 in YFNDSQRQA with a score of 0.913\r\n S at 275 in KRTLSSSTQ with a score of 0.971\r\n S at 281 in STQASLEID with a score of 0.89\r\n S at 296 in DFYTSITRA with a score of 0.98\r\n S at 418 in IKRNSTIPT with a score of 0.991\r\n S at 511 in KGRLSKEEI with a score of 0.998\r\n S at 537 in RERVSAKNA with a score of 0.996\r\n S at 563 in KGKISEADK with a score of 0.962\r\n T at 38 in GNRTTPSYV with a score of 0.867\r\n T at 66 in NPQNTVFDA with a score of 0.893\r\n T at 265 in RRLRTACER with a score of 0.933\r\n T at 313 in LFRSTLEPV with a score of 0.81\r\n T at 450 in ERAMTKDNN with a score of 0.917\r\n Y at 41 in TTPSYVAFT with a score of 0.85\r\n Y at 525 in EAEKYKAED with a score of 0.941\r\n\r\nNetphos predictions for protein 'HS74_HUMAN' (threshold score is 0.8):\r\n S at 31 in ANEYSDRCT with a score of 0.868\r\n S at 155 in AERRSVMDA with a score of 0.997\r\n S at 267 in LLRLSQECE with a score of 0.996\r\n S at 287 in DLPLSIECF with a score of 0.957\r\n S at 298 in DVDVSGTMN with a score of 0.81\r\n S at 393 in VREFSITDV with a score of 0.996\r\n S at 408 in LRWNSPAEE with a score of 0.987\r\n S at 415 in EEGSSDCEV with a score of 0.949\r\n S at 448 in AYYSSPQDL with a score of 0.92\r\n S at 471 in VTPQSDGSS with a score of 0.917\r\n S at 474 in QSDGSSSKV with a score of 0.814\r\n S at 475 in SDGSSSKVK with a score of 0.869\r\n S at 496 in VSSASLVEV with a score of 0.9\r\n S at 503 in EVHKSEENE with a score of 0.987\r\n S at 546 in NKAESEEME with a score of 0.996\r\n S at 575 in KVKTSTVDL with a score of 0.996\r\n S at 633 in RDKLSGEYE with a score of 0.988\r\n S at 692 in RFQESEERP with a score of 0.997\r\n S at 715 in KIISSFKNK with a score of 0.928\r\n S at 737 in KVEKSTNEA with a score of 0.994\r\n S at 765 in PVVKSKEIE with a score of 0.818\r\n S at 777 in KELTSTCSP with a score of 0.923\r\n S at 828 in TAVPSDSDK with a score of 0.993\r\n S at 830 in VPSDSDKKL with a score of 0.991\r\n T at 538 in QQQQTPAEN with a score of 0.87\r\n T at 732 in AADMTKVEK with a score of 0.885\r\n Y at 14 in FQSCYVAVA with a score of 0.845\r\n Y at 89 in SNLAYDIVQ with a score of 0.922\r\n Y at 336 in KEDIYAVEI with a score of 0.933\r\n Y at 454 in QDLPYPDPA with a score of 0.908\r\n Y at 660 in ENWLYEDGE with a score of 0.955\r\n Y at 671 in PKQVYVDKL with a score of 0.948\r\n Y at 723 in KEDQYDHLD with a score of 0.977\r\n\r\nNetphos predictions for protein 'HS7C_HUMAN' (threshold score is 0.8):\r\n S at 153 in YFNDSQRQA with a score of 0.913\r\n S at 275 in KRTLSSSTQ with a score of 0.971\r\n S at 281 in STQASIEID with a score of 0.929\r\n S at 286 in IEIDSLYEG with a score of 0.97\r\n S at 296 in DFYTSITRA with a score of 0.98\r\n S at 329 in KLDKSQIHD with a score of 0.826\r\n S at 489 in ILNVSAVDK with a score of 0.825\r\n S at 511 in KGRLSKEDI with a score of 0.998\r\n S at 537 in RDKVSSKNS with a score of 0.985\r\n S at 538 in DKVSSKNSL with a score of 0.952\r\n S at 541 in SSKNSLESY with a score of 0.951\r\n T at 38 in GNRTTPSYV with a score of 0.867\r\n T at 66 in NPTNTVFDA with a score of 0.896\r\n T at 265 in RRLRTACER with a score of 0.933\r\n T at 313 in LFRGTLDPV with a score of 0.93\r\n T at 418 in IKRNTTIPT with a score of 0.937\r\n T at 450 in ERAMTKDNN with a score of 0.917\r\n Y at 41 in TTPSYVAFT with a score of 0.85\r\n Y at 431 in TFTTYSDNQ with a score of 0.817\r\n Y at 525 in EAEKYKAED with a score of 0.941\r\n Y at 545 in SLESYAFNM with a score of 0.818\r\n\r\nNetphos predictions for protein 'HS9A_HUMAN' (threshold score is 0.8):\r\n S at 38 in NTFYSNKEI with a score of 0.982\r\n S at 67 in LTDPSKLDS with a score of 0.989\r\n S at 71 in SKLDSGKEL with a score of 0.997\r\n S at 112 in TIAKSGTKA with a score of 0.916\r\n S at 210 in VKKHSQFIG with a score of 0.837\r\n S at 230 in DKEVSDDEA with a score of 0.997\r\n S at 251 in EEKESEDKP with a score of 0.987\r\n S at 262 in EDVGSDEEE with a score of 0.997\r\n S at 329 in VKHFSVEGQ with a score of 0.972\r\n S at 469 in YTSASGDEM with a score of 0.954\r\n S at 475 in DEMVSLKDY with a score of 0.996\r\n S at 622 in LRDNSTMGY with a score of 0.812\r\n S at 640 in NPDHSIIET with a score of 0.997\r\n S at 657 in KNDKSVKDL with a score of 0.998\r\n S at 676 in SSGFSLEDP with a score of 0.995\r\n S at 708 in ADDTSAAVT with a score of 0.864\r\n S at 725 in DDDTSRMEE with a score of 0.993\r\n T at 6 in EETQTQDQP with a score of 0.866\r\n T at 62 in IRYETLTDP with a score of 0.867\r\n T at 89 in DRTLTIVDT with a score of 0.991\r\n T at 175 in VRTDTGEPM with a score of 0.867\r\n T at 183 in MGRGTKVIL with a score of 0.831\r\n T at 724 in GDDDTSRME with a score of 0.944\r\n Y at 60 in DKIRYETLT with a score of 0.802\r\n Y at 159 in DDEQYAWES with a score of 0.933\r\n Y at 283 in IKEKYIDQE with a score of 0.957\r\n Y at 308 in TNEEYGEFY with a score of 0.939\r\n Y at 433 in DKENYKKFY with a score of 0.945\r\n\r\nNetphos predictions for protein 'HS9B_HUMAN' (threshold score is 0.8):\r\n S at 33 in NTFYSNKEI with a score of 0.982\r\n S at 57 in IRYESLTDP with a score of 0.997\r\n S at 62 in LTDPSKLDS with a score of 0.976\r\n S at 66 in SKLDSGKEL with a score of 0.998\r\n S at 107 in TIAKSGTKA with a score of 0.916\r\n S at 225 in EKEISDDEA with a score of 0.996\r\n S at 254 in EDVGSDEED with a score of 0.997\r\n S at 260 in EEDDSGKDK with a score of 0.998\r\n S at 321 in VKHFSVEGQ with a score of 0.972\r\n S at 451 in RRRLSELLR with a score of 0.863\r\n S at 461 in HTSQSGDEM with a score of 0.844\r\n S at 467 in DEMTSLSEY with a score of 0.976\r\n S at 469 in MTSLSEYVS with a score of 0.852\r\n S at 534 in KSLVSVTKE with a score of 0.841\r\n S at 614 in LRDNSTMGY with a score of 0.812\r\n S at 668 in SSGFSLEDP with a score of 0.995\r\n S at 717 in DEDASRMEE with a score of 0.99\r\n T at 84 in ERTLTLVDT with a score of 0.985\r\n T at 178 in IGRGTKVIL with a score of 0.902\r\n T at 636 in PIVETLRQK with a score of 0.861\r\n Y at 55 in DKIRYESLT with a score of 0.903\r\n Y at 154 in DDEQYAWES with a score of 0.933\r\n Y at 275 in IKEKYIDQE with a score of 0.957\r\n Y at 425 in DKENYKKFY with a score of 0.945\r\n Y at 511 in FEVVYMTEP with a score of 0.84\r\n\r\nNetphos predictions for protein 'HXK1_HUMAN' (threshold score is 0.8):\r\n S at 32 in AMRLSDETL with a score of 0.917\r\n S at 70 in TFVRSIPDG with a score of 0.973\r\n S at 75 in IPDGSEKGD with a score of 0.989\r\n S at 161 in PCQQSKIDE with a score of 0.942\r\n S at 178 in RFKASGVEG with a score of 0.984\r\n S at 269 in GDDGSLEDI with a score of 0.995\r\n S at 285 in IDRGSLNPG with a score of 0.888\r\n S at 424 in HPQYSRRFH with a score of 0.985\r\n S at 438 in LVPDSDVRF with a score of 0.936\r\n S at 449 in SESGSGKGA with a score of 0.977\r\n S at 788 in TKFLSQIES with a score of 0.991\r\n S at 811 in LGLNSTCDD with a score of 0.861\r\n S at 883 in VKELSPKCN with a score of 0.998\r\n S at 897 in SEDGSGKGA with a score of 0.976\r\n T at 60 in NPTATVKML with a score of 0.858\r\n T at 325 in EGRITPELL with a score of 0.93\r\n T at 403 in DNKGTPRLR with a score of 0.919\r\n T at 408 in PRLRTTVGV with a score of 0.855\r\n T at 409 in RLRTTVGVD with a score of 0.919\r\n T at 430 in RFHKTLRRL with a score of 0.954\r\n T at 519 in FVRRTPDGT with a score of 0.977\r\n T at 609 in PCQQTSLDA with a score of 0.822\r\n T at 878 in IMHQTVKEL with a score of 0.99\r\n Y at 112 in ESEVYDTPE with a score of 0.925\r\n\r\nNetphos predictions for protein 'I4G2_HUMAN' (threshold score is 0.8):\r\n S at 14 in ASRFSASSG with a score of 0.989\r\n S at 17 in FSASSGGGG with a score of 0.978\r\n S at 55 in IPARSTRRD with a score of 0.973\r\n S at 272 in ERAKSLMDQ with a score of 0.996\r\n S at 395 in QDRFSPTMG with a score of 0.998\r\n S at 462 in PPRFSKKGQ with a score of 0.997\r\n S at 534 in PAKTSKKPP with a score of 0.991\r\n S at 540 in KPPPSKEEL with a score of 0.997\r\n S at 593 in SLDRSDEDK with a score of 0.996\r\n S at 602 in EKASSLISL with a score of 0.933\r\n S at 657 in SELVSISEL with a score of 0.987\r\n S at 759 in KDNISPKLH with a score of 0.995\r\n S at 788 in VNPPSDETD with a score of 0.905\r\n S at 793 in DETDSSSAP with a score of 0.932\r\n S at 798 in SSAPSKEQL with a score of 0.996\r\n S at 902 in EEEESEEEA with a score of 0.997\r\n T at 56 in PARSTRRDD with a score of 0.994\r\n T at 508 in PRTQTPPLG with a score of 0.974\r\n T at 533 in KPAKTSKKP with a score of 0.972\r\n T at 749 in PSPQTIYKW with a score of 0.828\r\n Y at 128 in EEPKYSSLY with a score of 0.991\r\n\r\nNetphos predictions for protein 'ICE3_HUMAN' (threshold score is 0.8):\r\n S at 12 in VDSKSIKNL with a score of 0.997\r\n S at 26 in HGSESMDSG with a score of 0.933\r\n S at 29 in ESMDSGISL with a score of 0.974\r\n S at 36 in SLDNSYKMD with a score of 0.992\r\n S at 58 in NFHKSTGMT with a score of 0.951\r\n S at 63 in TGMTSRSGT with a score of 0.987\r\n S at 65 in MTSRSGTDV with a score of 0.991\r\n S at 104 in MRDVSKEDH with a score of 0.998\r\n S at 109 in KEDHSKRSS with a score of 0.997\r\n S at 150 in DRCRSLTGK with a score of 0.873\r\n S at 176 in IETDSGVDD with a score of 0.995\r\n S at 205 in PGYYSWRNS with a score of 0.98\r\n T at 62 in STGMTSRSG with a score of 0.916\r\n T at 67 in SRSGTDVDA with a score of 0.87\r\n T at 77 in NLRETFRNL with a score of 0.845\r\n T at 152 in CRSLTGKPK with a score of 0.892\r\n Y at 41 in YKMDYPEMG with a score of 0.889\r\n Y at 83 in RNLKYEVRN with a score of 0.872\r\n\r\nNetphos predictions for protein 'IDHC_HUMAN' (threshold score is 0.8):\r\n S at 6 in SKKISGGSV with a score of 0.856\r\n S at 9 in ISGGSVVEM with a score of 0.907\r\n S at 188 in NQDKSIEDF with a score of 0.996\r\n S at 210 in PLYLSTKNT with a score of 0.806\r\n S at 237 in KQYKSQFEA with a score of 0.973\r\n S at 363 in LEEVSIETI with a score of 0.84\r\n T at 77 in CATITPDEK with a score of 0.954\r\n T at 162 in PSDGTQKVT with a score of 0.978\r\n\r\nNetphos predictions for protein 'IDHP_HUMAN' (threshold score is 0.8):\r\n S at 15 in LCRASGSRP with a score of 0.989\r\n S at 31 in TAPTSQEQP with a score of 0.985\r\n S at 134 in KMWKSPNGT with a score of 0.816\r\n S at 229 in DESISGFAH with a score of 0.895\r\n S at 249 in PLYMSTKNT with a score of 0.86\r\n S at 365 in GRPTSTNPI with a score of 0.947\r\n T at 92 in NRDQTDDQV with a score of 0.939\r\n T at 117 in CATITPDEA with a score of 0.971\r\n T at 191 in DRAGTFKMV with a score of 0.982\r\n T at 197 in KMVFTPKDG with a score of 0.975\r\n T at 412 in SGAMTKDLA with a score of 0.835\r\n T at 440 in DFLDTIKSN with a score of 0.871\r\n Y at 179 in HGDQYKATD with a score of 0.832\r\n Y at 210 in EWEVYNFPA with a score of 0.818\r\n Y at 247 in KWPLYMSTK with a score of 0.885\r\n\r\nNetphos predictions for protein 'IEFS_HUMAN' (threshold score is 0.8):\r\n S at 16 in NKALSVGNI with a score of 0.993\r\n S at 139 in QKLESDPRT with a score of 0.98\r\n S at 189 in VDLGSMDEE with a score of 0.975\r\n S at 460 in DLDSSCKEA with a score of 0.989\r\n S at 481 in NRHDSPEDV with a score of 0.998\r\n T at 151 in LSDPTYREL with a score of 0.841\r\n T at 177 in PRIMTTLSV with a score of 0.863\r\n T at 332 in AEHRTPDVL with a score of 0.827\r\n Y at 54 in KKGDYQKAY with a score of 0.929\r\n Y at 152 in SDPTYRELI with a score of 0.821\r\n Y at 236 in GNDAYKKKD with a score of 0.93\r\n Y at 275 in EKGDYNKCR with a score of 0.848\r\n Y at 296 in NREDYRQIA with a score of 0.935\r\n Y at 316 in KEEKYKDAI with a score of 0.987\r\n Y at 354 in ERLAYINPD with a score of 0.916\r\n\r\nNetphos predictions for protein 'IF4G_HUMAN' (threshold score is 0.8):\r\n S at 18 in QTGGSLEPQ with a score of 0.909\r\n S at 40 in PDDRSQGAI with a score of 0.884\r\n S at 57 in GPEHSPSES with a score of 0.994\r\n S at 59 in EHSPSESQP with a score of 0.925\r\n S at 64 in ESQPSSPSP with a score of 0.816\r\n S at 65 in SQPSSPSPT with a score of 0.995\r\n S at 67 in PSSPSPTPS with a score of 0.972\r\n S at 73 in TPSPSPVLE with a score of 0.819\r\n S at 100 in TIQMSVEES with a score of 0.998\r\n S at 108 in STPISRETG with a score of 0.989\r\n S at 118 in PYRLSPEPT with a score of 0.996\r\n S at 142 in PVPESEFSS with a score of 0.87\r\n S at 147 in EFSSSPLQA with a score of 0.953\r\n S at 181 in EVESSPELA with a score of 0.991\r\n S at 220 in AVDLSPVSE with a score of 0.942\r\n S at 223 in LSPVSEPEE with a score of 0.978\r\n S at 254 in PSATSPAQE with a score of 0.977\r\n S at 280 in GEGESEKRG with a score of 0.995\r\n S at 314 in QVAVSVPKR with a score of 0.947\r\n S at 362 in PGPESEGSG with a score of 0.814\r\n S at 380 in ETWDSKEDK with a score of 0.995\r\n S at 483 in RTTLSTRGP with a score of 0.961\r\n S at 508 in GPRRSQQGP with a score of 0.881\r\n S at 541 in AWKPSSKRT with a score of 0.99\r\n S at 542 in WKPSSKRTA with a score of 0.883\r\n S at 598 in TEDASKGSL with a score of 0.897\r\n S at 698 in ARRCSLGNI with a score of 0.993\r\n S at 734 in HDEESLECL with a score of 0.827\r\n S at 775 in EKKTSSRIR with a score of 0.938\r\n S at 776 in KKTSSRIRF with a score of 0.898\r\n S at 808 in PLTRSIRRL with a score of 0.981\r\n S at 859 in TVPISKGSR with a score of 0.811\r\n S at 893 in GGRLSWGKG with a score of 0.989\r\n S at 925 in LIRFSALQQ with a score of 0.834\r\n S at 946 in VQRSSLSRE with a score of 0.992\r\n S at 948 in RSSLSRERG with a score of 0.996\r\n S at 988 in KRTFSKEVE with a score of 0.997\r\n S at 995 in VEERSRERP with a score of 0.993\r\n S at 1000 in RERPSQPEG with a score of 0.997\r\n S at 1010 in RKAASLTED with a score of 0.989\r\n S at 1039 in KAALSEEEL with a score of 0.996\r\n S at 1086 in HGVESTLER with a score of 0.909\r\n S at 1203 in EAGLSWKEF with a score of 0.997\r\n S at 1361 in DAFYSWESS with a score of 0.956\r\n S at 1364 in YSWESSKDP with a score of 0.996\r\n T at 9 in RTASTPTPP with a score of 0.939\r\n T at 111 in ISRETGEPY with a score of 0.813\r\n T at 122 in SPEPTPLAE with a score of 0.822\r\n T at 293 in PPESTPIPA with a score of 0.978\r\n T at 816 in LRWKTSRAH with a score of 0.912\r\n T at 831 in ARAVTSVGA with a score of 0.905\r\n T at 867 in RPIDTSRLT with a score of 0.993\r\n T at 983 in RTPATKRTF with a score of 0.838\r\n Y at 398 in GEQKYEYKS with a score of 0.927\r\n Y at 761 in RMDQYFNQM with a score of 0.856\r\n\r\nNetphos predictions for protein 'IF5_HUMAN' (threshold score is 0.8):\r\n S at 8 in NVNRSVSDQ with a score of 0.996\r\n S at 10 in NRSVSDQFY with a score of 0.922\r\n S at 79 in IVNGSHEAN with a score of 0.938\r\n S at 151 in ENSDSGTGK with a score of 0.801\r\n S at 172 in KENGSVSSS with a score of 0.982\r\n S at 174 in NGSVSSSET with a score of 0.996\r\n S at 176 in SVSSSETPP with a score of 0.969\r\n S at 259 in VIDSSDKEI with a score of 0.996\r\n S at 353 in EVIISWSEK with a score of 0.916\r\n S at 355 in IISWSEKAS with a score of 0.86\r\n S at 364 in KKYVSKELA with a score of 0.993\r\n S at 390 in EEESSGGEE with a score of 0.994\r\n T at 65 in LGAQTQFDV with a score of 0.921\r\n T at 207 in WGEDTTEEA with a score of 0.99\r\n T at 416 in PKVETVKSD with a score of 0.905\r\n Y at 74 in KNDRYIVNG with a score of 0.984\r\n Y at 362 in ASKKYVSKE with a score of 0.893\r\n\r\nNetphos predictions for protein 'IGB1_HUMAN' (threshold score is 0.8):\r\n S at 35 in EPAGSRIVQ with a score of 0.965\r\n S at 57 in AEMLSQLDL with a score of 0.868\r\n S at 96 in QVNPSKRLD with a score of 0.892\r\n S at 133 in TMNNSAENH with a score of 0.938\r\n S at 173 in EHRLSAMKS with a score of 0.917\r\n S at 181 in SAVESGQAD with a score of 0.806\r\n S at 204 in WIDISLEEI with a score of 0.988\r\n S at 223 in RERDSSREA with a score of 0.998\r\n S at 224 in ERDSSREAS with a score of 0.997\r\n S at 228 in SREASTSNS with a score of 0.995\r\n S at 232 in STSNSSRQE with a score of 0.97\r\n S at 233 in TSNSSRQER with a score of 0.979\r\n T at 314 in DDEQTLHRA with a score of 0.9\r\n\r\nNetphos predictions for protein 'ILEU_HUMAN' (threshold score is 0.8):\r\n S at 34 in ISPFSISSA with a score of 0.871\r\n S at 55 in AAQLSKTFH with a score of 0.838\r\n S at 300 in LFNSSKADL with a score of 0.918\r\n S at 305 in KADLSGMSG with a score of 0.904\r\n Y at 282 in LEESYTLNS with a score of 0.856\r\n\r\nNetphos predictions for protein 'ILK2_HUMAN' (threshold score is 0.8):\r\n S at 186 in LNKHSGIDF with a score of 0.996\r\n S at 204 in NENHSGELW with a score of 0.928\r\n S at 228 in VRDWSTRKS with a score of 0.996\r\n S at 232 in STRKSRDFN with a score of 0.977\r\n S at 336 in TARISMADV with a score of 0.995\r\n S at 372 in TNRRSADMW with a score of 0.941\r\n S at 437 in PAKRSKFDM with a score of 0.96\r\n T at 69 in RGDDTPLHL with a score of 0.861\r\n T at 332 in DEDMTARIS with a score of 0.833\r\n T at 368 in KPEDTNRRS with a score of 0.978\r\n Y at 132 in ICNKYGEMP with a score of 0.812\r\n\r\nNetphos predictions for protein 'IM44_HUMAN' (threshold score is 0.8):\r\n S at 53 in KSYSSGNRK with a score of 0.921\r\n S at 80 in EMKESIKKF with a score of 0.984\r\n S at 115 in TVRTSEVLR with a score of 0.927\r\n S at 132 in TVKESLHEV with a score of 0.934\r\n S at 137 in LHEVSKSDL with a score of 0.988\r\n S at 159 in TAKQSAESV with a score of 0.827\r\n S at 162 in QSAESVSKG with a score of 0.992\r\n S at 164 in AESVSKGGE with a score of 0.957\r\n S at 180 in FRALSQGVE with a score of 0.92\r\n S at 185 in QGVESVKKE with a score of 0.991\r\n S at 297 in KTEMSEVLT with a score of 0.89\r\n S at 444 in LLDISASST with a score of 0.943\r\n S at 446 in DISASSTEQ with a score of 0.86\r\n S at 447 in ISASSTEQI with a score of 0.986\r\n T at 128 in ELTGTVKES with a score of 0.926\r\n T at 155 in EAAKTAKQS with a score of 0.833\r\n T at 280 in SRALTDKVT with a score of 0.984\r\n Y at 348 in YEATYSQLA with a score of 0.92\r\n\r\nNetphos predictions for protein 'IMB1_HUMAN' (threshold score is 0.8):\r\n S at 12 in EKTVSPDRL with a score of 0.981\r\n S at 67 in NSLTSKDPD with a score of 0.918\r\n S at 108 in YRPSSASQC with a score of 0.991\r\n S at 110 in PSSASQCVA with a score of 0.801\r\n S at 142 in TNPNSTEHM with a score of 0.834\r\n S at 270 in EAMKSDIDE with a score of 0.995\r\n S at 527 in NLRSSAYES with a score of 0.996\r\n S at 531 in SAYESLMEI with a score of 0.969\r\n S at 539 in IVKNSAKDC with a score of 0.991\r\n S at 570 in SHIQSTSDR with a score of 0.946\r\n S at 708 in NVHRSVKPQ with a score of 0.977\r\n S at 750 in QVDKSDYDM with a score of 0.997\r\n S at 764 in ELRESCLEA with a score of 0.968\r\n S at 853 in EGRRSKTNK with a score of 0.996\r\n T at 103 in LGTETYRPS with a score of 0.873\r\n T at 226 in VCEATQCPD with a score of 0.809\r\n T at 427 in VVRDTAAWT with a score of 0.834\r\n T at 514 in LLETTDRPD with a score of 0.847\r\n T at 634 in MAVSTLVEV with a score of 0.899\r\n T at 855 in RRSKTNKAK with a score of 0.84\r\n Y at 255 in YMETYMGPA with a score of 0.942\r\n Y at 482 in AEAAYEAAD with a score of 0.898\r\n Y at 529 in RSSAYESLM with a score of 0.813\r\n Y at 752 in DKSDYDMVD with a score of 0.978\r\n Y at 757 in DMVDYLNEL with a score of 0.87\r\n\r\nNetphos predictions for protein 'IQG2_HUMAN' (threshold score is 0.8):\r\n S at 16 in PRYGSIVDD with a score of 0.997\r\n S at 24 in DERLSAEEM with a score of 0.998\r\n S at 88 in PKMVSEKKI with a score of 0.929\r\n S at 180 in EEEISNMRK with a score of 0.826\r\n S at 278 in NSCISEEER with a score of 0.996\r\n S at 418 in NTLLSVKLE with a score of 0.876\r\n S at 432 in QDNLSWNEI with a score of 0.963\r\n S at 484 in TANISDVDP with a score of 0.952\r\n S at 503 in YHAKSQKLG with a score of 0.986\r\n S at 509 in KLGDSESVS with a score of 0.859\r\n S at 564 in VLKSSTSNA with a score of 0.81\r\n S at 591 in KELKSERVS with a score of 0.978\r\n S at 595 in SERVSSDGS with a score of 0.99\r\n S at 596 in ERVSSDGSW with a score of 0.979\r\n S at 620 in DSKESSWVT with a score of 0.958\r\n S at 621 in SKESSWVTP with a score of 0.969\r\n S at 739 in TARKSYLSR with a score of 0.905\r\n S at 742 in KSYLSRLQY with a score of 0.848\r\n S at 849 in VISHSKKLN with a score of 0.984\r\n S at 875 in IKSLSKERR with a score of 0.994\r\n S at 911 in PQNKSTKFM with a score of 0.976\r\n S at 949 in EEIKSKVDQ with a score of 0.994\r\n S at 1047 in KLEASIENL with a score of 0.956\r\n S at 1083 in VLKNSIHEK with a score of 0.967\r\n S at 1211 in VIYISIEEI with a score of 0.971\r\n S at 1274 in LSQLSKTEI with a score of 0.994\r\n S at 1284 in LVLTSKYDI with a score of 0.994\r\n S at 1356 in EMKHSQSMI with a score of 0.938\r\n S at 1358 in KHSQSMIED with a score of 0.991\r\n S at 1461 in NTRRSIKLD with a score of 0.996\r\n T at 98 in DVEQTRYKK with a score of 0.925\r\n T at 233 in IAEQTVVTL with a score of 0.817\r\n T at 245 in NAVLTLVDD with a score of 0.895\r\n T at 636 in ESWLTGKEI with a score of 0.833\r\n T at 716 in HRRQTFIDN with a score of 0.977\r\n T at 735 in FRMATARKS with a score of 0.947\r\n T at 881 in ERRKTLETY with a score of 0.894\r\n T at 980 in RGQNTLRQL with a score of 0.966\r\n T at 1055 in LRRVTDKVL with a score of 0.964\r\n T at 1092 in FPDATEDEL with a score of 0.829\r\n T at 1458 in KRKNTRRSI with a score of 0.846\r\n Y at 100 in EQTRYKKSG with a score of 0.922\r\n Y at 285 in ERDAYEELL with a score of 0.953\r\n Y at 412 in YVERYANTL with a score of 0.893\r\n Y at 579 in CADKYYDAL with a score of 0.959\r\n Y at 612 in KYDYYYNTD with a score of 0.818\r\n Y at 770 in ARDDYKTLV with a score of 0.844\r\n Y at 1027 in SKLPYDVTT with a score of 0.849\r\n Y at 1197 in NMDKYTDLV with a score of 0.984\r\n Y at 1393 in SENKYQDIL with a score of 0.99\r\n\r\nNetphos predictions for protein 'ITA2_HUMAN' (threshold score is 0.8):\r\n S at 44 in FSGPSSEQF with a score of 0.875\r\n S at 171 in QPCPSLIDV with a score of 0.972\r\n S at 240 in IVATSQTSQ with a score of 0.941\r\n S at 243 in TSQTSQYGG with a score of 0.993\r\n S at 268 in YSAASGGRR with a score of 0.946\r\n S at 363 in EQIFSIEGT with a score of 0.94\r\n S at 389 in ADYSSQNDI with a score of 0.976\r\n S at 434 in DRNHSSYLG with a score of 0.91\r\n S at 445 in VAAISTGES with a score of 0.99\r\n S at 601 in RTKYSQKIL with a score of 0.837\r\n S at 632 in LNGDSITDV with a score of 0.89\r\n S at 708 in ADGFSSRVT with a score of 0.875\r\n S at 713 in SRVTSRGLF with a score of 0.976\r\n S at 761 in RVDISLENP with a score of 0.812\r\n S at 835 in NKRESAYNT with a score of 0.997\r\n S at 870 in QVAASQKSV with a score of 0.86\r\n S at 914 in FQALSESQE with a score of 0.873\r\n S at 916 in ALSESQEEN with a score of 0.995\r\n S at 963 in SIVHSFEDV with a score of 0.992\r\n S at 1032 in IGQTSSSVS with a score of 0.853\r\n S at 1034 in QTSSSVSFK with a score of 0.847\r\n S at 1036 in SSSVSFKSE with a score of 0.992\r\n S at 1087 in TFASSTFQT with a score of 0.838\r\n T at 275 in RRSATKVMV with a score of 0.885\r\n T at 712 in SSRVTSRGL with a score of 0.982\r\n T at 824 in NKRLTFSVT with a score of 0.829\r\n Y at 625 in SLDGYGDLN with a score of 0.963\r\n Y at 1108 in NPEIYVIED with a score of 0.935\r\n Y at 1163 in FKRKYEKMT with a score of 0.928\r\n\r\nNetphos predictions for protein 'ITA6_HUMAN' (threshold score is 0.8):\r\n S at 107 in ADPTSESKE with a score of 0.986\r\n S at 109 in PTSESKEDQ with a score of 0.997\r\n S at 173 in GGDWSFCDG with a score of 0.971\r\n S at 267 in LTSVSYTDP with a score of 0.995\r\n S at 303 in FSLDSGKGI with a score of 0.975\r\n S at 309 in KGIVSKDEI with a score of 0.923\r\n S at 485 in LDRNSYPDV with a score of 0.994\r\n S at 493 in VAVGSLSDS with a score of 0.986\r\n S at 570 in ERRKSGLSS with a score of 0.997\r\n S at 573 in KSGLSSRVQ with a score of 0.993\r\n S at 624 in PITASVEIQ with a score of 0.817\r\n S at 632 in QEPSSRRRV with a score of 0.982\r\n S at 638 in RRVNSLPEV with a score of 0.976\r\n S at 720 in TVTNSPSNP with a score of 0.992\r\n S at 772 in NQNGSQADC with a score of 0.881\r\n S at 816 in LETTSNQDN with a score of 0.898\r\n S at 861 in QAMKSEDEV with a score of 0.854\r\n S at 867 in DEVGSLIEY with a score of 0.928\r\n S at 937 in ESHNSRKKR with a score of 0.991\r\n S at 955 in NRKFSLFAE with a score of 0.982\r\n S at 1084 in FFKRSRYDD with a score of 0.99\r\n T at 526 in LRQKTACGA with a score of 0.856\r\n T at 728 in PRNPTKDGD with a score of 0.847\r\n T at 803 in VTFDTPDLD with a score of 0.953\r\n T at 944 in KREITEKQI with a score of 0.865\r\n Y at 202 in KDFHYIVFG with a score of 0.854\r\n Y at 237 in EDGPYEVGG with a score of 0.963\r\n Y at 268 in TSVSYTDPD with a score of 0.903\r\n Y at 431 in NQDGYPDIA with a score of 0.978\r\n Y at 486 in DRNSYPDVA with a score of 0.911\r\n Y at 544 in SCFEYTANP with a score of 0.952\r\n Y at 587 in SEPKYTQEL with a score of 0.987\r\n Y at 962 in AERKYQTLN with a score of 0.891\r\n Y at 1009 in SKLNYLDIL with a score of 0.925\r\n Y at 1110 in KDEKYIDNL with a score of 0.991\r\n Y at 1129 in RNESYS--- with a score of 0.91\r\n\r\nNetphos predictions for protein 'ITAB_HUMAN' (threshold score is 0.8):\r\n S at 77 in TLGPSQEET with a score of 0.997\r\n S at 130 in ASVVSWSDV with a score of 0.987\r\n S at 168 in AQPESGRRA with a score of 0.974\r\n S at 175 in RAEYSPCRG with a score of 0.939\r\n S at 323 in YFGHSVAVT with a score of 0.896\r\n S at 415 in YGGPSGRGQ with a score of 0.972\r\n S at 435 in RSRPSQVLD with a score of 0.881\r\n S at 440 in QVLDSPFPT with a score of 0.97\r\n S at 573 in GGKHSPICH with a score of 0.914\r\n S at 594 in RDKLSPIVL with a score of 0.923\r\n S at 695 in MRALSNVEG with a score of 0.992\r\n S at 759 in RSKNSQNPN with a score of 0.846\r\n S at 806 in NSLDSWGPK with a score of 0.821\r\n S at 878 in IPSPSPIHP with a score of 0.87\r\n S at 974 in VPPLSLPRG with a score of 0.899\r\n T at 156 in EAEKTPVGS with a score of 0.976\r\n Y at 261 in SNPEYFDGY with a score of 0.983\r\n Y at 284 in NTTEYVVGA with a score of 0.93\r\n Y at 402 in DRDGYNDIA with a score of 0.978\r\n Y at 463 in DDNGYPDLI with a score of 0.834\r\n Y at 815 in VEHTYELHN with a score of 0.83\r\n Y at 968 in SSLPYAVPP with a score of 0.916\r\n\r\nNetphos predictions for protein 'ITB1_HUMAN' (threshold score is 0.8):\r\n S at 61 in GMPTSARCD with a score of 0.854\r\n S at 86 in NPRGSKDIK with a score of 0.904\r\n S at 125 in LRLRSGEPQ with a score of 0.982\r\n S at 154 in DLSYSMKDD with a score of 0.997\r\n S at 178 in RRITSDFRI with a score of 0.907\r\n S at 218 in TTPFSYKNV with a score of 0.83\r\n S at 247 in GNLDSPEGG with a score of 0.99\r\n S at 390 in NGKLSEGVT with a score of 0.92\r\n S at 399 in ISYKSYCKN with a score of 0.973\r\n S at 419 in CSNISIGDE with a score of 0.99\r\n S at 432 in ISITSNKCP with a score of 0.931\r\n S at 442 in KDSDSFKIR with a score of 0.977\r\n S at 474 in GIPESPKCH with a score of 0.995\r\n S at 509 in DEVNSEDMD with a score of 0.923\r\n S at 522 in KENSSEICS with a score of 0.938\r\n S at 549 in NEIYSGKFC with a score of 0.949\r\n S at 597 in SLDTSTCEA with a score of 0.969\r\n S at 675 in TKVESRDKL with a score of 0.939\r\n T at 177 in MRRITSDFR with a score of 0.822\r\n Y at 313 in TMSHYYDYP with a score of 0.823\r\n Y at 515 in DMDAYCRKE with a score of 0.936\r\n Y at 585 in CNPNYTGSA with a score of 0.919\r\n Y at 667 in QECSYFNIT with a score of 0.914\r\n Y at 783 in ENPIYKSAV with a score of 0.966\r\n Y at 795 in VNPKYEGK- with a score of 0.864\r\n\r\nNetphos predictions for protein 'ITB3_HUMAN' (threshold score is 0.8):\r\n S at 37 in TRGVSSCQQ with a score of 0.993\r\n S at 61 in LPLGSPRCD with a score of 0.803\r\n S at 79 in CAPESIEFP with a score of 0.803\r\n S at 96 in DRPLSDKGS with a score of 0.997\r\n S at 104 in SGDSSQVTQ with a score of 0.839\r\n S at 149 in DLSYSMKDD with a score of 0.997\r\n S at 188 in DKPVSPYMY with a score of 0.977\r\n S at 194 in YMYISPPEA with a score of 0.917\r\n S at 237 in VKKQSVSRN with a score of 0.99\r\n S at 239 in KQSVSRNRD with a score of 0.926\r\n S at 326 in TEKLSQKNI with a score of 0.983\r\n S at 379 in GKIRSKVEL with a score of 0.861\r\n S at 424 in TVSFSIEAK with a score of 0.972\r\n S at 500 in QCECSEEDY with a score of 0.995\r\n S at 507 in DYRPSQQDE with a score of 0.99\r\n S at 513 in QDECSPREG with a score of 0.99\r\n S at 619 in IQPGSYGDT with a score of 0.982\r\n S at 667 in DEIESVKEL with a score of 0.997\r\n S at 700 in YEDSSGKSI with a score of 0.983\r\n T at 32 in PNICTTRGV with a score of 0.861\r\n T at 256 in IMQATVCDE with a score of 0.859\r\n T at 674 in ELKDTGKDA with a score of 0.879\r\n Y at 204 in ENPCYDMKT with a score of 0.918\r\n Y at 307 in SDNHYSAST with a score of 0.896\r\n Y at 504 in SEEDYRPSQ with a score of 0.979\r\n Y at 651 in DREPYMTEN with a score of 0.828\r\n Y at 773 in NNPLYKEAT with a score of 0.948\r\n\r\nNetphos predictions for protein 'JAM1_HUMAN' (threshold score is 0.8):\r\n S at 33 in VTVHSSEPE with a score of 0.987\r\n S at 82 in KITASYEDR with a score of 0.992\r\n S at 98 in ITFKSVTRE with a score of 0.901\r\n S at 118 in EGGNSYGEV with a score of 0.955\r\n S at 159 in EQDGSPPSE with a score of 0.863\r\n S at 179 in TNPKSTRAF with a score of 0.951\r\n S at 184 in TRAFSNSSY with a score of 0.986\r\n S at 203 in FDPLSASDT with a score of 0.986\r\n S at 274 in KKGTSSKKV with a score of 0.992\r\n S at 275 in KGTSSKKVI with a score of 0.976\r\n S at 284 in YSQPSARSE with a score of 0.982\r\n S at 287 in PSARSEGEF with a score of 0.989\r\n T at 69 in DQGDTTRLV with a score of 0.953\r\n T at 269 in HFDRTKKGT with a score of 0.953\r\n Y at 188 in SNSSYVLNP with a score of 0.983\r\n\r\nNetphos predictions for protein 'K6PP_HUMAN' (threshold score is 0.8):\r\n S at 32 in GVLTSGGDA with a score of 0.973\r\n S at 207 in TTAQSHQRT with a score of 0.947\r\n S at 242 in FLPESPPEE with a score of 0.931\r\n S at 257 in CVKLSENRA with a score of 0.907\r\n S at 386 in LRGRSFAGN with a score of 0.884\r\n S at 569 in RIKQSASGT with a score of 0.908\r\n S at 571 in KQSASGTKR with a score of 0.887\r\n S at 640 in LRNESCSEN with a score of 0.983\r\n T at 313 in QRGGTPSAF with a score of 0.928\r\n T at 573 in SASGTKRRV with a score of 0.948\r\n T at 623 in VEHLTEKMK with a score of 0.864\r\n Y at 52 in RMGIYVGAK with a score of 0.859\r\n\r\nNetphos predictions for protein 'KAD1_HUMAN' (threshold score is 0.8):\r\n S at 19 in GGPGSGKGT with a score of 0.892\r\n S at 38 in YTHLSTGDL with a score of 0.974\r\n S at 49 in SEVSSGSAR with a score of 0.887\r\n S at 51 in VSSGSARGK with a score of 0.942\r\n S at 58 in GKKLSEIME with a score of 0.98\r\n S at 136 in RGETSGRVD with a score of 0.984\r\n T at 23 in SGKGTQCEK with a score of 0.934\r\n T at 86 in AKVNTSKGF with a score of 0.919\r\n T at 126 in PETMTQRLL with a score of 0.936\r\n T at 135 in KRGETSGRV with a score of 0.911\r\n T at 145 in DNEETIKKR with a score of 0.945\r\n T at 152 in KRLETYYKA with a score of 0.828\r\n\r\nNetphos predictions for protein 'KAD2_HUMAN' (threshold score is 0.8):\r\n S at 55 in AMVASGSEL with a score of 0.869\r\n S at 123 in EKLDSVIEF with a score of 0.993\r\n S at 128 in VIEFSIPDS with a score of 0.948\r\n S at 147 in IHPKSGRSY with a score of 0.86\r\n S at 150 in KSGRSYHEE with a score of 0.996\r\n S at 175 in LIRRSDDNE with a score of 0.984\r\n S at 207 in RGIHSAIDA with a score of 0.993\r\n T at 103 in GFPRTVRQA with a score of 0.809\r\n T at 139 in IRRITGRLI with a score of 0.947\r\n T at 194 in HTQTTPLIE with a score of 0.831\r\n T at 214 in DASQTPDVV with a score of 0.988\r\n\r\nNetphos predictions for protein 'KAP0_HUMAN' (threshold score is 0.8):\r\n S at 9 in STAASEEAR with a score of 0.977\r\n S at 14 in EEARSLREC with a score of 0.995\r\n S at 77 in TRTDSREDE with a score of 0.998\r\n S at 101 in RGAISAEVY with a score of 0.946\r\n S at 112 in EDAASYVRK with a score of 0.91\r\n S at 139 in NVLFSHLDD with a score of 0.902\r\n S at 193 in EWATSVGEG with a score of 0.962\r\n S at 230 in IDRDSYRRI with a score of 0.997\r\n S at 254 in LSKVSILES with a score of 0.92\r\n S at 307 in LQRRSENEE with a score of 0.99\r\n S at 321 in RLGPSDYFG with a score of 0.86\r\n T at 209 in LIYGTPRAA with a score of 0.904\r\n T at 214 in PRAATVKAK with a score of 0.956\r\n T at 266 in WERLTVADA with a score of 0.95\r\n T at 338 in PRAATVVAR with a score of 0.848\r\n Y at 21 in ECELYVQKH with a score of 0.979\r\n Y at 105 in SAEVYTEED with a score of 0.902\r\n Y at 185 in ETDVYVNNE with a score of 0.988\r\n\r\nNetphos predictions for protein 'KC2B_HUMAN' (threshold score is 0.8):\r\n S at 8 in SEEVSWISW with a score of 0.955\r\n S at 148 in YTPKSSRHH with a score of 0.907\r\n T at 145 in MDVYTPKSS with a score of 0.802\r\n T at 213 in SPVKTIR-- with a score of 0.881\r\n Y at 29 in VDEDYIQDK with a score of 0.961\r\n Y at 144 in CMDVYTPKS with a score of 0.82\r\n\r\nNetphos predictions for protein 'KCC1_HUMAN' (threshold score is 0.8):\r\n S at 62 in GKEGSMENE with a score of 0.91\r\n S at 99 in MQLVSGGEL with a score of 0.928\r\n S at 166 in DFGLSKMED with a score of 0.984\r\n S at 173 in EDPGSVLST with a score of 0.832\r\n S at 239 in YEFDSPYWD with a score of 0.986\r\n S at 248 in DISDSAKDF with a score of 0.997\r\n S at 289 in NIHQSVSEQ with a score of 0.972\r\n S at 301 in NFAKSKWKQ with a score of 0.845\r\n S at 324 in QLGTSQEGQ with a score of 0.956\r\n T at 114 in KGFYTERDA with a score of 0.96\r\n Y at 85 in LDDIYESGG with a score of 0.971\r\n Y at 113 in EKGFYTERD with a score of 0.808\r\n Y at 184 in GTPGYVAPE with a score of 0.883\r\n\r\nNetphos predictions for protein 'KGPB_HUMAN' (threshold score is 0.8):\r\n S at 51 in DKYRSVIRP with a score of 0.916\r\n S at 80 in RQAISAEPT with a score of 0.98\r\n S at 288 in TREDSPSED with a score of 0.998\r\n S at 290 in EDSPSEDPV with a score of 0.816\r\n S at 335 in IDRDSFKHL with a score of 0.988\r\n S at 347 in LDDVSNKAY with a score of 0.943\r\n S at 470 in RDRGSFEDS with a score of 0.998\r\n S at 474 in SFEDSTTRF with a score of 0.891\r\n S at 574 in SPPFSGPDP with a score of 0.991\r\n S at 657 in PSVASPTDT with a score of 0.998\r\n S at 662 in PTDTSNFDS with a score of 0.981\r\n S at 680 in PDDNSGWDI with a score of 0.976\r\n T at 3 in --MGTLRDL with a score of 0.919\r\n T at 74 in GEPRTKRQA with a score of 0.855\r\n Y at 257 in EETHYENGE with a score of 0.99\r\n Y at 262 in ENGEYIIRQ with a score of 0.929\r\n Y at 351 in SNKAYEDAE with a score of 0.966\r\n Y at 360 in AKAKYEAEA with a score of 0.845\r\n Y at 448 in KDSKYLYML with a score of 0.904\r\n Y at 539 in GTPEYVAPE with a score of 0.9\r\n\r\nNetphos predictions for protein 'KIF2_HUMAN' (threshold score is 0.8):\r\n S at 48 in EIEPSPETP with a score of 0.984\r\n S at 58 in PPASSAKVN with a score of 0.964\r\n S at 73 in RTVASIKND with a score of 0.993\r\n S at 80 in NDPPSRDNR with a score of 0.968\r\n S at 94 in RARPSQFPE with a score of 0.837\r\n S at 108 in QQNGSVSDI with a score of 0.989\r\n S at 113 in VSDISPVQA with a score of 0.973\r\n S at 130 in SRRKSNCVK with a score of 0.996\r\n S at 180 in DFRGSLDYR with a score of 0.813\r\n S at 301 in GGDFSGKNQ with a score of 0.994\r\n S at 400 in SGQTSANAH with a score of 0.899\r\n S at 405 in ANAHSSRSH with a score of 0.972\r\n S at 427 in HGKFSLIDL with a score of 0.921\r\n S at 441 in GADTSSADR with a score of 0.847\r\n S at 480 in PFRASKLTQ with a score of 0.937\r\n S at 509 in PGMASCENT with a score of 0.912\r\n S at 608 in VFQESIRWL with a score of 0.934\r\n S at 656 in DKVKSFRAA with a score of 0.988\r\n T at 51 in PSPETPPPP with a score of 0.857\r\n T at 187 in YRPLTTADP with a score of 0.927\r\n T at 266 in VYRFTAKPL with a score of 0.93\r\n T at 440 in RGADTSSAD with a score of 0.913\r\n T at 527 in VKELTVDPT with a score of 0.926\r\n Y at 168 in TNPNYEIMC with a score of 0.958\r\n Y at 312 in SKGIYALAA with a score of 0.934\r\n Y at 328 in KKPNYKKLE with a score of 0.857\r\n Y at 627 in EEVDYDVDS with a score of 0.944\r\n\r\nNetphos predictions for protein 'KINH_HUMAN' (threshold score is 0.8):\r\n S at 55 in VFQSSTSQE with a score of 0.835\r\n S at 57 in QSSTSQEQV with a score of 0.984\r\n S at 88 in YGQTSSGKT with a score of 0.877\r\n S at 133 in HIKVSYFEI with a score of 0.808\r\n S at 154 in KTNLSVHED with a score of 0.994\r\n S at 202 in NEHSSRSHS with a score of 0.816\r\n S at 224 in EQKLSGKLY with a score of 0.959\r\n S at 235 in DLAGSEKVS with a score of 0.961\r\n S at 239 in SEKVSKTGA with a score of 0.987\r\n S at 259 in NKSLSALGN with a score of 0.905\r\n S at 289 in ILQDSLGGN with a score of 0.865\r\n S at 306 in CSPSSYNES with a score of 0.976\r\n S at 462 in ELLASTRRD with a score of 0.837\r\n S at 484 in ENDASKEEV with a score of 0.991\r\n S at 506 in YDQKSQEVE with a score of 0.988\r\n S at 599 in SKMKSEVKT with a score of 0.971\r\n S at 618 in TQTESNKKM with a score of 0.926\r\n S at 637 in QLRISQHEA with a score of 0.996\r\n S at 663 in QLEESVDAL with a score of 0.846\r\n S at 707 in QQIQSHRET with a score of 0.989\r\n S at 718 in KQISSLRDE with a score of 0.987\r\n S at 762 in DQEKSRKLH with a score of 0.993\r\n S at 814 in RVKKSAEID with a score of 0.987\r\n S at 889 in KENASRDRK with a score of 0.943\r\n S at 917 in RRGHSAQIA with a score of 0.876\r\n S at 933 in HPAASPTHP with a score of 0.828\r\n T at 182 in EVMDTIDEG with a score of 0.875\r\n T at 324 in QRAKTIKNT with a score of 0.982\r\n T at 693 in NKVQTANEV with a score of 0.819\r\n Y at 29 in RGDKYIAKF with a score of 0.847\r\n Y at 62 in QEQVYNDCA with a score of 0.835\r\n\r\nNetphos predictions for protein 'KPBH_HUMAN' (threshold score is 0.8):\r\n S at 63 in AERLSPEQL with a score of 0.998\r\n S at 96 in TLIDSYESS with a score of 0.983\r\n S at 99 in DSYESSSFM with a score of 0.925\r\n S at 126 in KVALSEKET with a score of 0.998\r\n S at 132 in KETRSIMRS with a score of 0.909\r\n S at 136 in SIMRSLLEA with a score of 0.908\r\n S at 170 in QIRLSDFGF with a score of 0.951\r\n S at 202 in ILKCSMDET with a score of 0.847\r\n S at 254 in YQFSSPEWD with a score of 0.982\r\n S at 262 in DDRSSTVKD with a score of 0.864\r\n S at 324 in RVALSTHRV with a score of 0.939\r\n T at 46 in VHRATGHEF with a score of 0.915\r\n T at 74 in VREATRRET with a score of 0.996\r\n T at 263 in DRSSTVKDL with a score of 0.984\r\n T at 281 in EARLTAEQA with a score of 0.875\r\n T at 303 in PWNLTPRQR with a score of 0.96\r\n T at 325 in VALSTHRVR with a score of 0.847\r\n T at 397 in SAAITEDEA with a score of 0.924\r\n\r\nNetphos predictions for protein 'KPCB_HUMAN' (threshold score is 0.8):\r\n S at 11 in GPPPSEGEE with a score of 0.982\r\n S at 16 in EGEESTVRF with a score of 0.832\r\n S at 100 in DDPRSKHKF with a score of 0.972\r\n S at 111 in HTYSSPTFC with a score of 0.939\r\n S at 206 in PDPKSESKQ with a score of 0.992\r\n S at 208 in PKSESKQKT with a score of 0.956\r\n S at 234 in QLKESDKDR with a score of 0.998\r\n S at 241 in DRRLSVEIW with a score of 0.998\r\n S at 279 in FKLLSQEEG with a score of 0.987\r\n S at 326 in TNTVSKFDN with a score of 0.915\r\n S at 359 in KVMLSERKG with a score of 0.964\r\n S at 565 in PKSMSKEAV with a score of 0.9\r\n S at 628 in KRDTSNFDK with a score of 0.997\r\n T at 17 in GEESTVRFA with a score of 0.853\r\n T at 250 in DWDLTSRND with a score of 0.973\r\n T at 314 in ISQGTKVPE with a score of 0.868\r\n T at 642 in PVELTPTDK with a score of 0.948\r\n Y at 195 in LSDPYVKLK with a score of 0.865\r\n Y at 285 in EEGEYFNVP with a score of 0.99\r\n Y at 507 in GTPDYIAPE with a score of 0.86\r\n\r\nNetphos predictions for protein 'KPCD_HUMAN' (threshold score is 0.8):\r\n S at 37 in KEALSTERG with a score of 0.997\r\n S at 57 in PEWKSTFDA with a score of 0.849\r\n S at 130 in DCKQSMRSE with a score of 0.888\r\n S at 133 in QSMRSEDEA with a score of 0.997\r\n S at 299 in TQRASRRSD with a score of 0.992\r\n S at 302 in ASRRSDSAS with a score of 0.996\r\n S at 304 in RRSDSASSE with a score of 0.995\r\n S at 306 in SDSASSEPV with a score of 0.968\r\n S at 307 in DSASSEPVG with a score of 0.899\r\n S at 506 in ESRASTFCG with a score of 0.992\r\n S at 626 in PKVKSPRDY with a score of 0.998\r\n S at 631 in PRDYSNFDQ with a score of 0.995\r\n S at 645 in KARLSYSDK with a score of 0.997\r\n S at 647 in RLSYSDKNL with a score of 0.95\r\n T at 38 in EALSTERGK with a score of 0.891\r\n T at 43 in ERGKTLVQK with a score of 0.81\r\n T at 218 in NSRDTIFQK with a score of 0.947\r\n T at 507 in SRASTFCGT with a score of 0.959\r\n T at 564 in IRVDTPHYP with a score of 0.961\r\n T at 588 in EREPTKRLG with a score of 0.976\r\n Y at 514 in GTPDYIAPE with a score of 0.86\r\n Y at 630 in SPRDYSNFD with a score of 0.886\r\n\r\nNetphos predictions for protein 'KPR1_HUMAN' (threshold score is 0.8):\r\n S at 10 in FSGSSHQDL with a score of 0.982\r\n S at 15 in HQDLSQKIA with a score of 0.983\r\n S at 35 in TKKFSNQET with a score of 0.949\r\n S at 46 in EIGESVRGE with a score of 0.939\r\n S at 102 in KKDKSRAPI with a score of 0.911\r\n S at 179 in KRVTSIADR with a score of 0.993\r\n S at 237 in DKLLSAGAT with a score of 0.926\r\n Y at 53 in GEDVYIVQS with a score of 0.833\r\n Y at 145 in VDNLYAEPA with a score of 0.911\r\n\r\nNetphos predictions for protein 'KPY1_HUMAN' (threshold score is 0.8):\r\n S at 5 in SKPHSEAGT with a score of 0.976\r\n S at 54 in IGPASRSVE with a score of 0.91\r\n S at 56 in PASRSVETL with a score of 0.956\r\n S at 221 in LPAVSEKDI with a score of 0.997\r\n S at 248 in IRKASDVHE with a score of 0.94\r\n S at 433 in VLTKSGRSA with a score of 0.96\r\n S at 436 in KSGRSAHQV with a score of 0.845\r\n T at 40 in SPPITARNT with a score of 0.878\r\n T at 59 in RSVETLKEM with a score of 0.963\r\n T at 86 in YHAETIKNV with a score of 0.924\r\n T at 340 in KPRPTRAEG with a score of 0.843\r\n T at 411 in PTEATAVGA with a score of 0.809\r\n T at 458 in RNPQTARQA with a score of 0.931\r\n T at 523 in GFTNTMRVV with a score of 0.945\r\n Y at 174 in GSKIYVDDG with a score of 0.873\r\n\r\nNetphos predictions for protein 'KSYK_HUMAN' (threshold score is 0.8):\r\n S at 84 in RTHASPADL with a score of 0.978\r\n S at 93 in CHYHSQESD with a score of 0.905\r\n S at 149 in QAIISQKPQ with a score of 0.813\r\n S at 174 in HGKISREES with a score of 0.997\r\n S at 227 in TGKLSIPEG with a score of 0.991\r\n S at 295 in SRIKSYSFP with a score of 0.994\r\n S at 306 in GHRKSSPAQ with a score of 0.934\r\n S at 307 in HRKSSPAQG with a score of 0.981\r\n S at 316 in NRQESTVSF with a score of 0.929\r\n S at 350 in EVYESPYAD with a score of 0.995\r\n S at 553 in FSSKSDVWS with a score of 0.953\r\n Y at 28 in EAEDYLVQG with a score of 0.948\r\n Y at 348 in DTEVYESPY with a score of 0.966\r\n Y at 352 in YESPYADPE with a score of 0.986\r\n Y at 364 in PKEVYLDRK with a score of 0.934\r\n Y at 526 in DENYYKAQT with a score of 0.844\r\n\r\nNetphos predictions for protein 'LAS1_HUMAN' (threshold score is 0.8):\r\n S at 134 in RMGPSGGEG with a score of 0.956\r\n S at 146 in ERRDSQDGS with a score of 0.997\r\n S at 150 in SQDGSSYRR with a score of 0.876\r\n S at 151 in QDGSSYRRP with a score of 0.995\r\n S at 222 in EDEVSFQDG with a score of 0.991\r\n Y at 52 in EKKPYCNAH with a score of 0.898\r\n Y at 171 in SAPVYQQPQ with a score of 0.901\r\n Y at 186 in SYGGYKEPA with a score of 0.902\r\n\r\nNetphos predictions for protein 'LDHA_HUMAN' (threshold score is 0.8):\r\n S at 78 in PKIVSGKDY with a score of 0.995\r\n S at 236 in QVVESAYEV with a score of 0.963\r\n S at 309 in VTLTSEEEA with a score of 0.997\r\n T at 17 in KEEQTPQNK with a score of 0.898\r\n T at 308 in KVTLTSEEE with a score of 0.891\r\n Y at 238 in VESAYEVIK with a score of 0.937\r\n\r\nNetphos predictions for protein 'LDHB_HUMAN' (threshold score is 0.8):\r\n S at 43 in ILGKSLADE with a score of 0.956\r\n S at 84 in DKDYSVTAN with a score of 0.849\r\n S at 237 in MVVESAYEV with a score of 0.821\r\n S at 302 in RGLTSVINQ with a score of 0.927\r\n T at 2 in ---ATLKEK with a score of 0.905\r\n T at 74 in LFLQTPKIV with a score of 0.95\r\n Y at 83 in ADKDYSVTA with a score of 0.818\r\n Y at 239 in VESAYEVIK with a score of 0.937\r\n\r\nNetphos predictions for protein 'LGUL_HUMAN' (threshold score is 0.8):\r\n S at 25 in DADPSTKDF with a score of 0.997\r\n S at 93 in AWALSRKAT with a score of 0.98\r\n Y at 74 in YFLAYEDKN with a score of 0.856\r\n\r\nNetphos predictions for protein 'LOXP_HUMAN' (threshold score is 0.8):\r\n S at 243 in LLRRSTSLP with a score of 0.949\r\n S at 254 in LVLPSGMEE with a score of 0.937\r\n S at 321 in IQPPSPSSP with a score of 0.906\r\n S at 324 in PSPSSPTPT with a score of 0.991\r\n S at 418 in DKAVSTGGG with a score of 0.965\r\n S at 597 in SWHLSRRQP with a score of 0.924\r\n S at 615 in EKYFSGPKP with a score of 0.925\r\n S at 654 in YLKPSCIEN with a score of 0.93\r\n T at 111 in LPEGTARLP with a score of 0.883\r\n T at 142 in YCWATWKEG with a score of 0.85\r\n T at 176 in DFEWTLKAG with a score of 0.847\r\n T at 244 in LRRSTSLPS with a score of 0.934\r\n T at 502 in CREITEVGL with a score of 0.844\r\n T at 566 in MPPPTTKED with a score of 0.968\r\n T at 567 in PPPTTKEDV with a score of 0.962\r\n T at 638 in EKEITARNE with a score of 0.803\r\n Y at 613 in HKEKYFSGP with a score of 0.964\r\n\r\nNetphos predictions for protein 'LRBA_HUMAN' (threshold score is 0.8):\r\n S at 10 in NRVPSPPPT with a score of 0.994\r\n S at 34 in GGALSLKPG with a score of 0.887\r\n S at 61 in VGEVSNRDI with a score of 0.99\r\n S at 121 in ILKKSIRNL with a score of 0.852\r\n S at 435 in CLESSPKDN with a score of 0.997\r\n S at 446 in IFVHSPHAL with a score of 0.884\r\n S at 535 in SLEKSSKSH with a score of 0.988\r\n S at 538 in KSSKSHVSR with a score of 0.935\r\n S at 710 in EHPNSMIPA with a score of 0.921\r\n S at 730 in KLLASKSEG with a score of 0.965\r\n S at 810 in DPDSSVKIQ with a score of 0.824\r\n S at 829 in LLRNSPQCP with a score of 0.995\r\n S at 835 in QCPESMEVR with a score of 0.963\r\n S at 853 in LFNNSRENR with a score of 0.936\r\n S at 881 in NPKNSDEQK with a score of 0.925\r\n S at 959 in VQAASGIRR with a score of 0.939\r\n S at 979 in DTKDSPVCP with a score of 0.963\r\n S at 994 in NENSSIEKT with a score of 0.993\r\n S at 999 in IEKTSSLES with a score of 0.978\r\n S at 1000 in EKTSSLESA with a score of 0.992\r\n S at 1003 in SSLESASNI with a score of 0.989\r\n S at 1015 in TTNTSYEEM with a score of 0.995\r\n S at 1072 in TGKDSMTVS with a score of 0.99\r\n S at 1084 in ASISSPSEE with a score of 0.997\r\n S at 1086 in ISSPSEEDA with a score of 0.998\r\n S at 1091 in EEDASEMPE with a score of 0.92\r\n S at 1100 in FLDKSIVEE with a score of 0.962\r\n S at 1118 in KVEGSPTEE with a score of 0.988\r\n S at 1174 in ETQDSKDSG with a score of 0.978\r\n S at 1177 in DSKDSGIQT with a score of 0.924\r\n S at 1188 in ASGSSAMSP with a score of 0.945\r\n S at 1191 in SSAMSPETT with a score of 0.997\r\n S at 1236 in VSEASSEQK with a score of 0.951\r\n S at 1247 in KLDVSNVAT with a score of 0.816\r\n S at 1299 in QRRDSRSTV with a score of 0.996\r\n S at 1325 in DLLFSIETD with a score of 0.865\r\n S at 1337 in WRSHSTKTV with a score of 0.983\r\n S at 1399 in TQGLSIEAS with a score of 0.966\r\n S at 1412 in QRLISLVDV with a score of 0.907\r\n S at 1433 in EAEKSMSSG with a score of 0.954\r\n S at 1435 in EKSMSSGGI with a score of 0.892\r\n S at 1488 in SAAKSPVDI with a score of 0.998\r\n S at 1498 in TGGISPVRD with a score of 0.802\r\n S at 1560 in NERHSQSCT with a score of 0.997\r\n S at 1562 in RHSQSCTET with a score of 0.967\r\n S at 1574 in NENVSLSEI with a score of 0.977\r\n S at 1590 in LTTASVEES with a score of 0.997\r\n S at 1594 in SVEESESTS with a score of 0.859\r\n S at 1596 in EESESTSSA with a score of 0.973\r\n S at 1598 in SESTSSARR with a score of 0.899\r\n S at 1599 in ESTSSARRR with a score of 0.991\r\n S at 1605 in RRRDSGIGE with a score of 0.998\r\n S at 1642 in SEVLSTLSL with a score of 0.803\r\n S at 1669 in KATPSVSVS with a score of 0.969\r\n S at 1671 in TPSVSVSKN with a score of 0.923\r\n S at 1712 in LGDLSVEQP with a score of 0.968\r\n S at 1725 in SFDRSVIVA with a score of 0.917\r\n S at 1736 in KSAVSPSTF with a score of 0.97\r\n S at 1738 in AVSPSTFNT with a score of 0.873\r\n S at 1753 in VSVVSSVDS with a score of 0.99\r\n S at 1761 in SAQASDMGG with a score of 0.927\r\n S at 1767 in MGGESPGSR with a score of 0.871\r\n S at 1770 in ESPGSRSSN with a score of 0.97\r\n S at 1773 in GSRSSNAKL with a score of 0.818\r\n S at 1795 in VSNMSITER with a score of 0.949\r\n S at 1849 in KSSSSVVEL with a score of 0.996\r\n S at 1885 in GRLLSQTMK with a score of 0.899\r\n S at 2025 in LRENSKATD with a score of 0.864\r\n S at 2039 in KGKQSIRSQ with a score of 0.965\r\n S at 2064 in DDTLSSVDE with a score of 0.992\r\n S at 2065 in DTLSSVDEK with a score of 0.982\r\n S at 2098 in KGTLSVTSS with a score of 0.853\r\n S at 2101 in LSVTSSELY with a score of 0.953\r\n S at 2198 in TRRISLASP with a score of 0.99\r\n S at 2201 in ISLASPRQL with a score of 0.992\r\n S at 2236 in IAGRSYNDL with a score of 0.946\r\n S at 2255 in TNYESEELD with a score of 0.884\r\n S at 2290 in ERYESWEDD with a score of 0.998\r\n S at 2350 in AWRNSQRDT with a score of 0.998\r\n S at 2355 in QRDTSDIKE with a score of 0.993\r\n S at 2389 in GTVVSDVEL with a score of 0.822\r\n S at 2457 in VNLNSITDP with a score of 0.918\r\n S at 2624 in FRVYSTDTG with a score of 0.891\r\n S at 2716 in VLSGSQEGP with a score of 0.842\r\n S at 2749 in LIQASREGH with a score of 0.967\r\n T at 26 in GREETPTEG with a score of 0.991\r\n T at 165 in SYNLTVREL with a score of 0.903\r\n T at 259 in YCFRTSKGL with a score of 0.816\r\n T at 607 in NIYNTIRRV with a score of 0.929\r\n T at 637 in RSGITPKGL with a score of 0.964\r\n T at 1014 in QTTNTSYEE with a score of 0.961\r\n T at 1033 in PDEGTLEET with a score of 0.955\r\n T at 1068 in SFITTGKDS with a score of 0.966\r\n T at 1253 in VATDTERLE with a score of 0.98\r\n T at 1667 in DTKATPSVS with a score of 0.858\r\n T at 2008 in HPEATLKTA with a score of 0.949\r\n T at 2354 in SQRDTSDIK with a score of 0.893\r\n T at 2399 in PWAKTSEEF with a score of 0.967\r\n T at 2477 in SFGQTPSQL with a score of 0.894\r\n T at 2627 in YSTDTGRLI with a score of 0.838\r\n Y at 1016 in TNTSYEEMK with a score of 0.967\r\n Y at 1110 in EDDDYVELK with a score of 0.993\r\n Y at 2105 in SSELYFEVD with a score of 0.964\r\n Y at 2288 in FAERYESWE with a score of 0.897\r\n Y at 2609 in SDNRYILVC with a score of 0.91\r\n Y at 2650 in RSESYIGGN with a score of 0.886\r\n\r\nNetphos predictions for protein 'LYN_HUMAN' (threshold score is 0.8):\r\n S at 10 in KGKDSLSDD with a score of 0.996\r\n S at 12 in KDSLSDDGV with a score of 0.887\r\n S at 37 in RDPTSNKQQ with a score of 0.988\r\n S at 82 in PDDLSFKKG with a score of 0.895\r\n S at 167 in SFSLSVRDF with a score of 0.997\r\n S at 227 in KACISPKPQ with a score of 0.991\r\n S at 245 in IPRESIKLV with a score of 0.981\r\n S at 332 in DFLKSDEGG with a score of 0.954\r\n T at 26 in PVRNTERTI with a score of 0.89\r\n T at 57 in QRFQTKDPE with a score of 0.984\r\n T at 106 in KSLLTKKEG with a score of 0.918\r\n T at 159 in RESETLKGS with a score of 0.857\r\n T at 275 in VAVKTLKPG with a score of 0.919\r\n T at 397 in DNEYTAREG with a score of 0.944\r\n Y at 31 in ERTIYVRDP with a score of 0.941\r\n Y at 192 in DNGGYYISP with a score of 0.909\r\n Y at 315 in EEPIYIITE with a score of 0.987\r\n Y at 396 in EDNEYTARE with a score of 0.854\r\n Y at 472 in PDELYDIMK with a score of 0.974\r\n Y at 507 in TEGQYQQQP with a score of 0.889\r\n\r\nNetphos predictions for protein 'MAE1_HUMAN' (threshold score is 0.8):\r\n S at 16 in SDNLSRHDM with a score of 0.996\r\n S at 155 in KPLTSSSAA with a score of 0.949\r\n S at 165 in QRPISTQRT with a score of 0.995\r\n T at 166 in RPISTQRTA with a score of 0.965\r\n Y at 268 in EQEEY---- with a score of 0.904\r\n\r\nNetphos predictions for protein 'MAOM_HUMAN' (threshold score is 0.8):\r\n S at 9 in LRVVSTTCT with a score of 0.991\r\n S at 77 in KKMTSPLEK with a score of 0.962\r\n S at 145 in GHVRSIVDN with a score of 0.93\r\n S at 303 in SKPISEHKI with a score of 0.965\r\n S at 360 in AKIDSYQEP with a score of 0.968\r\n S at 372 in SAPESIPDT with a score of 0.988\r\n S at 560 in RTWRSEYDS with a score of 0.986\r\n S at 564 in SEYDSLLPD with a score of 0.807\r\n S at 578 in ESASSPPVI with a score of 0.935\r\n T at 250 in YGRNTLIQF with a score of 0.897\r\n T at 400 in GRLFTPDVI with a score of 0.81\r\n T at 461 in GRVFTPGQG with a score of 0.893\r\n T at 557 in VKERTWRSE with a score of 0.883\r\n Y at 273 in YREKYCTFN with a score of 0.877\r\n Y at 434 in AEEAYTLTE with a score of 0.913\r\n Y at 535 in TEYLYANKM with a score of 0.865\r\n Y at 552 in DKAKYVKER with a score of 0.913\r\n\r\nNetphos predictions for protein 'MDHC_HUMAN' (threshold score is 0.8):\r\n S at 122 in YAKKSVKVI with a score of 0.991\r\n S at 216 in LKDDSWLKG with a score of 0.95\r\n S at 240 in ARKLSSAMS with a score of 0.949\r\n S at 276 in SDGNSYGVP with a score of 0.96\r\n S at 308 in INDFSREKM with a score of 0.939\r\n S at 325 in EEKESAFEF with a score of 0.983\r\n T at 70 in DVIATDKED with a score of 0.938\r\n T at 134 in NPANTNCLT with a score of 0.803\r\n T at 260 in IWFGTPEGE with a score of 0.946\r\n T at 315 in KMDLTAKEL with a score of 0.95\r\n Y at 191 in SSTQYPDVN with a score of 0.976\r\n\r\nNetphos predictions for protein 'MEM1_HUMAN' (threshold score is 0.8):\r\n S at 50 in LLEKSMEPS with a score of 0.885\r\n S at 70 in DVRNSTQHL with a score of 0.919\r\n S at 130 in DFTRSYLDL with a score of 0.894\r\n S at 146 in ILLLSRIED with a score of 0.841\r\n S at 243 in NPANSDTMA with a score of 0.96\r\n S at 252 in CEYLSVEVM with a score of 0.889\r\n S at 403 in YADSSIAEL with a score of 0.89\r\n S at 527 in RMLDSVEKL with a score of 0.883\r\n S at 624 in QRNLSEQLL with a score of 0.8\r\n S at 665 in PGAESHRKN with a score of 0.991\r\n S at 779 in QPLDSCGEQ with a score of 0.993\r\n S at 827 in EQNFSAEEF with a score of 0.988\r\n S at 886 in RSNFSKPDL with a score of 0.989\r\n S at 958 in KVTLSIFEL with a score of 0.942\r\n S at 988 in KADTSSPEE with a score of 0.972\r\n S at 989 in ADTSSPEEE with a score of 0.998\r\n S at 1017 in TDPSSFYSI with a score of 0.941\r\n S at 1020 in SSFYSIEKD with a score of 0.824\r\n S at 1084 in RNRESISLL with a score of 0.941\r\n S at 1121 in YREVSRAFH with a score of 0.824\r\n T at 650 in KQRQTPRKG with a score of 0.994\r\n Y at 57 in PSLKYINKK with a score of 0.938\r\n Y at 399 in TPEDYADSS with a score of 0.976\r\n Y at 994 in PEEEYKVAC with a score of 0.974\r\n Y at 1026 in EKDGYNNNI with a score of 0.984\r\n\r\nNetphos predictions for protein 'MK01_HUMAN' (threshold score is 0.8):\r\n S at 29 in YTNLSYIGE with a score of 0.845\r\n S at 57 in IKKISPFEH with a score of 0.988\r\n S at 248 in LGSPSQEDL with a score of 0.995\r\n T at 68 in YCQRTLREI with a score of 0.859\r\n Y at 36 in GEGAYGMVC with a score of 0.805\r\n Y at 43 in VCSAYDNVN with a score of 0.901\r\n Y at 113 in ETDLYKLLK with a score of 0.836\r\n\r\nNetphos predictions for protein 'MLE1_HUMAN' (threshold score is 0.8):\r\n S at 47 in KIEFSKEQQ with a score of 0.993\r\n\r\nNetphos predictions for protein 'MLEN_HUMAN' (threshold score is 0.8):\r\n S at 56 in GNPKSDEMN with a score of 0.882\r\n T at 120 in GEKMTEEEV with a score of 0.84\r\n Y at 85 in DQGTYEDYV with a score of 0.839\r\n Y at 88 in TYEDYVEGL with a score of 0.897\r\n\r\nNetphos predictions for protein 'MLRM_HUMAN' (threshold score is 0.8):\r\n S at 18 in QRATSNVFA with a score of 0.941\r\n T at 7 in KRTKTKTKK with a score of 0.843\r\n T at 115 in EATGTIQED with a score of 0.837\r\n Y at 67 in PTDEYLDAM with a score of 0.937\r\n\r\nNetphos predictions for protein 'MLRN_HUMAN' (threshold score is 0.8):\r\n S at 19 in QRATSNVFA with a score of 0.941\r\n T at 10 in KAKTTKKRP with a score of 0.947\r\n\r\nNetphos predictions for protein 'MOES_HUMAN' (threshold score is 0.8):\r\n S at 73 in VRKESPLLF with a score of 0.976\r\n S at 206 in VNYFSIKNK with a score of 0.952\r\n S at 248 in IRNISFNDK with a score of 0.984\r\n S at 383 in KRAQSEAEK with a score of 0.996\r\n S at 428 in TARISQLEM with a score of 0.941\r\n S at 503 in AKDRSEEER with a score of 0.996\r\n S at 535 in ARDESKKTA with a score of 0.968\r\n T at 9 in SVRVTTMDA with a score of 0.832\r\n T at 10 in VRVTTMDAE with a score of 0.937\r\n T at 234 in NDRLTPKIG with a score of 0.974\r\n T at 357 in IEEQTKKAQ with a score of 0.941\r\n T at 368 in LEEQTRRAL with a score of 0.937\r\n T at 424 in MAELTARIS with a score of 0.834\r\n T at 468 in TAMSTPHVA with a score of 0.832\r\n T at 509 in EERTTEAEK with a score of 0.972\r\n Y at 115 in NDDIYCPPE with a score of 0.915\r\n\r\nNetphos predictions for protein 'MTPN_HUMAN' (threshold score is 0.8):\r\n T at 94 in GADKTVKGP with a score of 0.892\r\n Y at 20 in EVKDYVAKG with a score of 0.92\r\n\r\nNetphos predictions for protein 'MTS1_HUMAN' (threshold score is 0.8):\r\n S at 88 in MRHRSIEAK with a score of 0.801\r\n S at 141 in IKKKSSDTL with a score of 0.804\r\n S at 228 in EDLKSLTMD with a score of 0.876\r\n S at 238 in HKLPSSSEQ with a score of 0.991\r\n S at 253 in GSDYSWSYQ with a score of 0.844\r\n S at 262 in TPPSSPSTT with a score of 0.965\r\n S at 264 in PSSPSTTMS with a score of 0.971\r\n S at 268 in STTMSRKSS with a score of 0.991\r\n S at 271 in MSRKSSVCS with a score of 0.996\r\n S at 272 in SRKSSVCSS with a score of 0.995\r\n S at 283 in SVNSSDSRS with a score of 0.946\r\n S at 285 in NSSDSRSSG with a score of 0.984\r\n S at 287 in SDSRSSGSH with a score of 0.981\r\n S at 288 in DSRSSGSHS with a score of 0.996\r\n S at 290 in RSSGSHSHS with a score of 0.977\r\n S at 292 in SGSHSHSPS with a score of 0.991\r\n S at 294 in SHSHSPSSH with a score of 0.996\r\n S at 297 in HSPSSHYRY with a score of 0.995\r\n S at 315 in PVRLSSVSS with a score of 0.945\r\n S at 316 in VRLSSVSSH with a score of 0.994\r\n S at 318 in LSSVSSHDS with a score of 0.996\r\n S at 319 in SSVSSHDSG with a score of 0.869\r\n S at 334 in FQSKSPSPM with a score of 0.913\r\n S at 336 in SKSPSPMPP with a score of 0.986\r\n S at 356 in HYSLSSESH with a score of 0.92\r\n S at 359 in LSSESHVGP with a score of 0.893\r\n S at 408 in SQIPSWKDW with a score of 0.996\r\n S at 460 in QRPRSMTVS with a score of 0.993\r\n S at 494 in DTQRSSRDS with a score of 0.994\r\n S at 495 in TQRSSRDSL with a score of 0.969\r\n S at 498 in SSRDSLQCS with a score of 0.995\r\n S at 524 in PSQVSDYDY with a score of 0.996\r\n S at 530 in YDYFSVSGD with a score of 0.804\r\n S at 552 in IPRNSDISQ with a score of 0.994\r\n S at 555 in NSDISQSYR with a score of 0.956\r\n S at 557 in DISQSYRRM with a score of 0.974\r\n S at 569 in KRPASTAGL with a score of 0.987\r\n S at 594 in RRTPSTKPS with a score of 0.997\r\n S at 598 in STKPSVRRG with a score of 0.994\r\n S at 644 in RGEHSPESP with a score of 0.996\r\n S at 647 in HSPESPSVG with a score of 0.995\r\n S at 649 in PESPSVGEG with a score of 0.995\r\n S at 704 in REPPSATVS with a score of 0.848\r\n S at 708 in SATVSPGQI with a score of 0.919\r\n S at 721 in PADLSPRDT with a score of 0.998\r\n T at 258 in WSYQTPPSS with a score of 0.883\r\n T at 583 in PAMVTPGVA with a score of 0.882\r\n T at 588 in PGVATIRRT with a score of 0.984\r\n T at 603 in VRRGTIGAG with a score of 0.949\r\n T at 613 in IPIKTPVIP with a score of 0.894\r\n T at 620 in IPVKTPTVP with a score of 0.915\r\n T at 725 in SPRDTPQGE with a score of 0.989\r\n Y at 528 in SDYDYFSVS with a score of 0.937\r\n\r\nNetphos predictions for protein 'MYH9_HUMAN' (threshold score is 0.8):\r\n S at 39 in PSDKSGFEP with a score of 0.961\r\n S at 45 in FEPASLKEE with a score of 0.995\r\n S at 160 in TAYRSMMQD with a score of 0.823\r\n S at 197 in YVASSHKSK with a score of 0.993\r\n S at 200 in SSHKSKKDQ with a score of 0.998\r\n S at 232 in KNDNSSRFG with a score of 0.852\r\n S at 364 in TDQASMPDN with a score of 0.979\r\n S at 541 in ATDKSFVEK with a score of 0.945\r\n S at 841 in LLQVSRQEE with a score of 0.902\r\n S at 1015 in EEEKSKSLA with a score of 0.865\r\n S at 1057 in LEGDSTDLS with a score of 0.827\r\n S at 1111 in RELESQISE with a score of 0.833\r\n S at 1122 in EDLESERAS with a score of 0.963\r\n S at 1126 in SERASRNKA with a score of 0.992\r\n S at 1163 in QELRSKREQ with a score of 0.997\r\n S at 1195 in RQKHSQAVE with a score of 0.809\r\n S at 1290 in TGLLSQSDS with a score of 0.992\r\n S at 1296 in SDSKSSKLT with a score of 0.991\r\n S at 1340 in DEKNSFREQ with a score of 0.994\r\n S at 1376 in KMEDSVGCL with a score of 0.923\r\n S at 1398 in LEGLSQRHE with a score of 0.961\r\n S at 1435 in HQRQSACNL with a score of 0.978\r\n S at 1457 in EKTISAKYA with a score of 0.951\r\n S at 1511 in EDLMSSKDD with a score of 0.998\r\n S at 1512 in DLMSSKDDV with a score of 0.823\r\n S at 1519 in DVGKSVHEL with a score of 0.995\r\n S at 1580 in RDEQSEEKK with a score of 0.972\r\n S at 1660 in DTRASREEI with a score of 0.998\r\n S at 1677 in KKLKSMEAE with a score of 0.986\r\n S at 1714 in IANSSGKGA with a score of 0.951\r\n S at 1915 in NREVSSLKN with a score of 0.969\r\n S at 1916 in REVSSLKNK with a score of 0.866\r\n S at 1943 in AGDGSDEEV with a score of 0.991\r\n T at 184 in KTENTKKVI with a score of 0.912\r\n T at 391 in RGILTPRIK with a score of 0.985\r\n T at 832 in WRLFTKVKP with a score of 0.81\r\n T at 869 in ENRLTEMET with a score of 0.965\r\n T at 907 in RARLTAKKQ with a score of 0.973\r\n T at 1049 in ELEKTRRKL with a score of 0.867\r\n T at 1151 in ELEDTLDST with a score of 0.886\r\n T at 1208 in QLEQTKRVK with a score of 0.967\r\n T at 1800 in EMEGTVKSK with a score of 0.953\r\n T at 1840 in QVRRTEKKL with a score of 0.911\r\n Y at 9 in AADKYLYVD with a score of 0.941\r\n Y at 11 in DKYLYVDKN with a score of 0.975\r\n Y at 111 in SGLIYTYSG with a score of 0.806\r\n Y at 400 in VGRDYVQKA with a score of 0.8\r\n Y at 492 in EQEEYQREG with a score of 0.963\r\n Y at 1861 in NAEQYKDQA with a score of 0.956\r\n\r\nNetphos predictions for protein 'N7BM_HUMAN' (threshold score is 0.8):\r\n S at 92 in RWLHSMTDD with a score of 0.97\r\n T at 100 in DPPTTKPLT with a score of 0.866\r\n T at 129 in VPYSTTRKK with a score of 0.956\r\n T at 142 in IPPSTPYK- with a score of 0.937\r\n Y at 44 in GEDKYGNKY with a score of 0.989\r\n Y at 49 in GNKYYEDNK with a score of 0.927\r\n\r\nNetphos predictions for protein 'NCK2_HUMAN' (threshold score is 0.8):\r\n S at 61 in ERKNSLKKG with a score of 0.994\r\n S at 85 in RRKTSARDA with a score of 0.998\r\n S at 90 in ARDASPTPS with a score of 0.994\r\n S at 176 in AAAESPSFL with a score of 0.897\r\n S at 208 in YPFSSVTEE with a score of 0.915\r\n S at 276 in TGPSSSGRF with a score of 0.871\r\n S at 277 in GPSSSGRFA with a score of 0.956\r\n S at 313 in LIRDSESSP with a score of 0.988\r\n S at 315 in RDSESSPSD with a score of 0.881\r\n S at 316 in DSESSPSDF with a score of 0.998\r\n S at 323 in DFSVSLKAS with a score of 0.977\r\n S at 327 in SLKASGKNK with a score of 0.94\r\n T at 80 in GLGKTRRKT with a score of 0.804\r\n T at 84 in TRRKTSARD with a score of 0.957\r\n T at 139 in GSRVTVMEK with a score of 0.895\r\n T at 202 in HVVQTLYPF with a score of 0.93\r\n T at 351 in RRFHTMDEL with a score of 0.912\r\n Y at 50 in NRTGYVPSN with a score of 0.885\r\n Y at 287 in REWYYGNVT with a score of 0.966\r\n\r\nNetphos predictions for protein 'NCP1_HUMAN' (threshold score is 0.8):\r\n S at 171 in THGASDREY with a score of 0.994\r\n S at 200 in FVPHSKSLS with a score of 0.881\r\n S at 202 in PHSKSLSDA with a score of 0.987\r\n S at 220 in RRNLSADQW with a score of 0.938\r\n S at 294 in SSCLSLFRD with a score of 0.859\r\n S at 337 in SHAGSMHRE with a score of 0.928\r\n S at 396 in MPKKSADDF with a score of 0.956\r\n S at 435 in VQYLSGFDA with a score of 0.959\r\n S at 471 in MTSLSVKQV with a score of 0.988\r\n S at 503 in VSKASLGLA with a score of 0.843\r\n S at 528 in KMVDSLVEM with a score of 0.938\r\n S at 566 in QSRYSIAFP with a score of 0.972\r\n S at 597 in DRSLSLCNM with a score of 0.98\r\n S at 645 in VNKKSKKQT with a score of 0.989\r\n S at 664 in PGVESMRKN with a score of 0.977\r\n S at 752 in TVLQSIENY with a score of 0.928\r\n S at 778 in QHLDSHGEP with a score of 0.996\r\n S at 834 in YSDISEMRS with a score of 0.954\r\n S at 838 in SEMRSLSEL with a score of 0.985\r\n S at 883 in QMRTSFDKP with a score of 0.994\r\n S at 898 in FKRLSSVDS with a score of 0.996\r\n S at 899 in KRLSSVDSV with a score of 0.871\r\n S at 937 in PFLVSSIED with a score of 0.9\r\n S at 938 in FLVSSIEDF with a score of 0.992\r\n S at 988 in SENISPEEE with a score of 0.998\r\n S at 1050 in IHKGSIEDR with a score of 0.996\r\n S at 1083 in RNRESVYLL with a score of 0.977\r\n T at 649 in SKKQTGKKG with a score of 0.817\r\n T at 703 in EHTFTPREY with a score of 0.986\r\n T at 950 in IPRETDMKV with a score of 0.881\r\n Y at 47 in AKPSYLIDK with a score of 0.832\r\n Y at 175 in SDREYPRLG with a score of 0.879\r\n Y at 756 in SIENYVQID with a score of 0.949\r\n Y at 830 in NAEEYSDIS with a score of 0.97\r\n Y at 993 in PEEEYKIAC with a score of 0.982\r\n\r\nNetphos predictions for protein 'NIDO_HUMAN' (threshold score is 0.8):\r\n S at 6 in LASSSRIRA with a score of 0.885\r\n S at 69 in FYDRSDIDA with a score of 0.971\r\n S at 127 in REDLSPSIT with a score of 0.918\r\n S at 186 in VLASSDSSS with a score of 0.879\r\n S at 189 in SSDSSSYAI with a score of 0.961\r\n S at 208 in HTTFSKKEN with a score of 0.985\r\n S at 245 in NDRESIENL with a score of 0.997\r\n S at 255 in KSSNSGQQG with a score of 0.873\r\n S at 314 in TTPFSYKAL with a score of 0.994\r\n S at 330 in YSVPSVLSP with a score of 0.951\r\n S at 333 in PSVLSPRRA with a score of 0.99\r\n S at 352 in ERTRSFQLA with a score of 0.823\r\n S at 469 in NHGRSYTAI with a score of 0.894\r\n S at 538 in KQRFSGIDE with a score of 0.998\r\n S at 585 in ITSSSTREY with a score of 0.985\r\n S at 600 in RDGASPSRI with a score of 0.985\r\n S at 664 in VREGSPDAL with a score of 0.962\r\n S at 784 in TGGSSYTCS with a score of 0.829\r\n S at 1006 in IGRASLHGG with a score of 0.992\r\n S at 1022 in QDLGSPEGI with a score of 0.995\r\n S at 1073 in IVTDSVRGN with a score of 0.936\r\n S at 1093 in KIETSYMDG with a score of 0.992\r\n S at 1142 in PSQPSRRKA with a score of 0.842\r\n S at 1203 in TTALSQCPQ with a score of 0.875\r\n T at 311 in DVGTTPFSY with a score of 0.87\r\n T at 339 in RRAATERPL with a score of 0.991\r\n T at 475 in TAISTIPET with a score of 0.818\r\n T at 590 in TREYTVTEP with a score of 0.873\r\n T at 951 in LFAQTGKIE with a score of 0.853\r\n T at 963 in LEGNTMRKT with a score of 0.887\r\n T at 1053 in KLDGTQRRV with a score of 0.836\r\n Y at 236 in SNGAYNIFA with a score of 0.901\r\n Y at 289 in DGAEYDDED with a score of 0.805\r\n Y at 296 in EDEDYDLAT with a score of 0.979\r\n Y at 832 in CKPGYQGDG with a score of 0.926\r\n Y at 1094 in IETSYMDGT with a score of 0.965\r\n\r\nNetphos predictions for protein 'NIF3_HUMAN' (threshold score is 0.8):\r\n S at 11 in ITQISKEEA with a score of 0.994\r\n S at 30 in KSAASQKPR with a score of 0.98\r\n S at 35 in QKPRSRGIL with a score of 0.911\r\n S at 88 in KAQDSDKIC with a score of 0.813\r\n S at 180 in LFRESCVFH with a score of 0.974\r\n S at 211 in NSPASYVFH with a score of 0.981\r\n S at 224 in VPVASWFDN with a score of 0.972\r\n S at 245 in FEQLSRVDD with a score of 0.982\r\n T at 74 in IPKQTPVQY with a score of 0.951\r\n Y at 158 in SLAKYADPV with a score of 0.828\r\n Y at 212 in SPASYVFHP with a score of 0.908\r\n\r\nNetphos predictions for protein 'NNTM_HUMAN' (threshold score is 0.8):\r\n S at 281 in DLKESGEGQ with a score of 0.961\r\n S at 293 in AKEMSKEFI with a score of 0.97\r\n S at 336 in EMIESMKEG with a score of 0.994\r\n S at 525 in PALHSPLMS with a score of 0.942\r\n S at 815 in VSALSAVMG with a score of 0.85\r\n S at 926 in REANSIIIT with a score of 0.89\r\n S at 1083 in KVRESYQK- with a score of 0.955\r\n T at 172 in SQRKTTVLT with a score of 0.869\r\n T at 357 in NFETTKPGE with a score of 0.844\r\n T at 440 in FPAPTPKNI with a score of 0.844\r\n Y at 106 in SDDHYRVAG with a score of 0.967\r\n Y at 363 in PGELYIHKG with a score of 0.892\r\n Y at 407 in KDNFYFDVK with a score of 0.861\r\n\r\nNetphos predictions for protein 'NP25_HUMAN' (threshold score is 0.8):\r\n S at 7 in NRGPSYGLS with a score of 0.987\r\n S at 11 in SYGLSREVQ with a score of 0.839\r\n S at 163 in RRGFSEEQL with a score of 0.993\r\n S at 281 in GPRVSV--- with a score of 0.867\r\n\r\nNetphos predictions for protein 'NPL1_HUMAN' (threshold score is 0.8):\r\n S at 10 in NKEQSELDQ with a score of 0.996\r\n S at 143 in EDEISEELK with a score of 0.833\r\n S at 204 in KVKFSDAGQ with a score of 0.946\r\n S at 237 in YRMRSEPDD with a score of 0.997\r\n S at 242 in EPDDSDPFS with a score of 0.874\r\n S at 246 in SDPFSFDGP with a score of 0.952\r\n S at 296 in VSNDSFFNF with a score of 0.856\r\n S at 309 in EVPESGDLD with a score of 0.825\r\n T at 27 in EEEETGEET with a score of 0.965\r\n T at 284 in KGRGTVRTV with a score of 0.978\r\n Y at 354 in DDDDYDEEG with a score of 0.989\r\n Y at 377 in NDPDYDPKK with a score of 0.963\r\n\r\nNetphos predictions for protein 'NUD5_HUMAN' (threshold score is 0.8):\r\n S at 48 in RTWESVKRT with a score of 0.996\r\n T at 52 in SVKRTTRKE with a score of 0.801\r\n T at 53 in VKRTTRKEQ with a score of 0.986\r\n T at 58 in RKEQTADGV with a score of 0.95\r\n Y at 36 in EKTTYMDPT with a score of 0.988\r\n Y at 119 in EETGYKGDI with a score of 0.871\r\n\r\nNetphos predictions for protein 'OPA1_HUMAN' (threshold score is 0.8):\r\n S at 43 in SIYHSHHPT with a score of 0.981\r\n S at 58 in QLRTSFQQF with a score of 0.815\r\n S at 76 in KLKFSPIKY with a score of 0.981\r\n S at 187 in FTSGSPEET with a score of 0.997\r\n S at 200 in TDRGSESDK with a score of 0.997\r\n S at 202 in RGSESDKHF with a score of 0.99\r\n S at 210 in FRKVSDKEK with a score of 0.994\r\n S at 263 in KLKKSLIDM with a score of 0.996\r\n S at 276 in LDVLSDYDA with a score of 0.977\r\n S at 303 in AGKTSVLEM with a score of 0.895\r\n S at 318 in FPRGSGEMM with a score of 0.99\r\n S at 344 in LFKDSSREF with a score of 0.993\r\n S at 345 in FKDSSREFD with a score of 0.863\r\n S at 408 in NTVTSGMAP with a score of 0.949\r\n S at 453 in TDLVSQMDP with a score of 0.937\r\n S at 478 in KNVASPSRI with a score of 0.921\r\n S at 508 in GKGNSSESI with a score of 0.99\r\n S at 511 in NSSESIEAI with a score of 0.995\r\n S at 545 in TRNLSLAVS with a score of 0.977\r\n S at 559 in MVRESVEQQ with a score of 0.997\r\n S at 566 in QQADSFKAT with a score of 0.995\r\n S at 708 in VKEESIKRH with a score of 0.996\r\n S at 734 in LEDRSISDK with a score of 0.977\r\n S at 736 in DRSISDKQQ with a score of 0.993\r\n T at 114 in GGGYTAKKT with a score of 0.836\r\n T at 196 in AFRATDRGS with a score of 0.889\r\n T at 351 in EFDLTKEED with a score of 0.874\r\n T at 462 in HGRRTIFVL with a score of 0.91\r\n T at 467 in IFVLTKVDL with a score of 0.815\r\n T at 630 in ERVSTHVIE with a score of 0.862\r\n T at 816 in DEITTVRKN with a score of 0.97\r\n T at 893 in ITANTLRQQ with a score of 0.842\r\n Y at 146 in EIDEYIDFE with a score of 0.961\r\n\r\nNetphos predictions for protein 'OXRP_HUMAN' (threshold score is 0.8):\r\n S at 44 in LGSESMKVA with a score of 0.951\r\n S at 64 in LNKESRRKT with a score of 0.887\r\n S at 145 in QLQFSPEEV with a score of 0.997\r\n S at 212 in ATALSYGVF with a score of 0.862\r\n S at 373 in SAEMSLDEI with a score of 0.922\r\n S at 461 in PGIHSLKHN with a score of 0.855\r\n S at 488 in FNRYSHDFN with a score of 0.939\r\n S at 527 in GVGDSFKKY with a score of 0.959\r\n S at 558 in DRVESVFET with a score of 0.992\r\n S at 567 in LVEDSAEEE with a score of 0.996\r\n S at 607 in EEEESPAEG with a score of 0.989\r\n S at 612 in PAEGSKDEP with a score of 0.833\r\n S at 667 in AQKPSEKAE with a score of 0.959\r\n S at 742 in KAANSLEAF with a score of 0.886\r\n S at 763 in YQEVSTEEQ with a score of 0.997\r\n S at 823 in PERLSALDN with a score of 0.964\r\n S at 933 in PLNASASDQ with a score of 0.96\r\n S at 955 in AEPISEPEK with a score of 0.947\r\n S at 987 in QKEQSTGQK with a score of 0.852\r\n T at 68 in SRRKTPVIV with a score of 0.992\r\n T at 73 in PVIVTLKEN with a score of 0.882\r\n T at 590 in GGGTTPDAK with a score of 0.943\r\n T at 600 in NGTDTVQEE with a score of 0.93\r\n T at 646 in KGDATPEGE with a score of 0.894\r\n T at 653 in GEKATEKEN with a score of 0.853\r\n T at 948 in PAGQTEDAE with a score of 0.919\r\n Y at 534 in KYPDYESKG with a score of 0.976\r\n Y at 759 in YQPEYQEVS with a score of 0.922\r\n\r\nNetphos predictions for protein 'P2BA_HUMAN' (threshold score is 0.8):\r\n S at 12 in DPKLSTTDR with a score of 0.995\r\n S at 70 in TEGASILRQ with a score of 0.941\r\n S at 107 in EVGGSPANT with a score of 0.975\r\n S at 203 in HGGLSPEIN with a score of 0.911\r\n S at 294 in MYRKSQTTG with a score of 0.965\r\n S at 379 in DELGSEEDG with a score of 0.997\r\n S at 411 in ARVFSVLRE with a score of 0.974\r\n S at 419 in EESESVLTL with a score of 0.828\r\n S at 469 in HKITSFEEA with a score of 0.992\r\n S at 512 in NGTDSNGSN with a score of 0.912\r\n S at 515 in DSNGSNSSN with a score of 0.815\r\n T at 30 in SHRLTAKEV with a score of 0.99\r\n T at 252 in FTHNTVRGC with a score of 0.898\r\n T at 422 in ESVLTLKGL with a score of 0.91\r\n Y at 119 in FLGDYVDRG with a score of 0.958\r\n Y at 311 in SAPNYLDVY with a score of 0.974\r\n\r\nNetphos predictions for protein 'PAB1_HUMAN' (threshold score is 0.8):\r\n S at 51 in ITRRSLGYA with a score of 0.922\r\n S at 87 in RIMWSQRDP with a score of 0.945\r\n S at 92 in QRDPSLRKS with a score of 0.995\r\n S at 96 in SLRKSGVGN with a score of 0.989\r\n S at 109 in NLDKSIDNK with a score of 0.902\r\n S at 175 in GRFKSRKER with a score of 0.995\r\n S at 230 in ESGKSKGFG with a score of 0.979\r\n S at 237 in FGFVSFERH with a score of 0.886\r\n S at 315 in RKEFSPFGT with a score of 0.885\r\n S at 332 in EGGRSKGFG with a score of 0.896\r\n S at 342 in VCFSSPEEA with a score of 0.995\r\n S at 388 in QRMASVRAV with a score of 0.988\r\n S at 434 in QLRPSPRWT with a score of 0.998\r\n S at 464 in RPPFSTMRP with a score of 0.927\r\n S at 470 in MRPASSQVP with a score of 0.981\r\n S at 599 in HMLESPESL with a score of 0.944\r\n S at 602 in ESPESLRSK with a score of 0.927\r\n S at 605 in ESLRSKVDE with a score of 0.993\r\n T at 274 in VERQTELKR with a score of 0.865\r\n T at 347 in PEEATKAVT with a score of 0.868\r\n T at 465 in PPFSTMRPA with a score of 0.97\r\n T at 479 in RVMSTQRVA with a score of 0.943\r\n Y at 54 in RSLGYAYVN with a score of 0.875\r\n Y at 364 in TKPLYVALA with a score of 0.962\r\n\r\nNetphos predictions for protein 'PAK2_HUMAN' (threshold score is 0.8):\r\n S at 20 in VRMSSTIFS with a score of 0.959\r\n S at 36 in SANHSLKPL with a score of 0.938\r\n S at 42 in KPLPSVPEE with a score of 0.903\r\n S at 58 in ISIFSGTEK with a score of 0.905\r\n S at 64 in TEKGSKKKE with a score of 0.993\r\n S at 78 in ISPPSDFEH with a score of 0.985\r\n S at 141 in QKYLSFTPP with a score of 0.967\r\n S at 197 in IYTRSVIDP with a score of 0.934\r\n S at 209 in PVGDSHVDG with a score of 0.989\r\n S at 241 in RTIVSIGDP with a score of 0.91\r\n S at 398 in TPEQSKRST with a score of 0.97\r\n S at 401 in QSKRSTMVG with a score of 0.93\r\n S at 490 in EKRGSAKEL with a score of 0.997\r\n T at 169 in PAVVTEEED with a score of 0.893\r\n T at 402 in SKRSTMVGT with a score of 0.881\r\n Y at 252 in KYTRYEKIG with a score of 0.803\r\n Y at 443 in GEPPYLNEN with a score of 0.974\r\n\r\nNetphos predictions for protein 'PARB_HUMAN' (threshold score is 0.8):\r\n S at 7 in SAPRSPTPR with a score of 0.985\r\n S at 39 in AREVSDLQE with a score of 0.958\r\n S at 54 in NSPMSPALV with a score of 0.956\r\n S at 80 in IDPTSKEDP with a score of 0.998\r\n T at 9 in PRSPTPRPR with a score of 0.992\r\n T at 65 in HPEDTQLEE with a score of 0.979\r\n T at 79 in MIDPTSKED with a score of 0.908\r\n T at 244 in DAFDTLFDH with a score of 0.833\r\n T at 308 in HFYLTPESF with a score of 0.875\r\n T at 349 in DLKSTLRVL with a score of 0.804\r\n Y at 116 in EEDLYDGQV with a score of 0.921\r\n\r\nNetphos predictions for protein 'PCB1_HUMAN' (threshold score is 0.8):\r\n S at 35 in KKGESVKRI with a score of 0.997\r\n S at 43 in IREESGARI with a score of 0.917\r\n S at 126 in EIRESTGAQ with a score of 0.995\r\n S at 141 in MLPNSTERA with a score of 0.987\r\n S at 231 in QHTISPLDL with a score of 0.989\r\n S at 264 in IDSSSPEVK with a score of 0.985\r\n S at 309 in IRQMSGAQI with a score of 0.922\r\n S at 348 in NARLSSEKG with a score of 0.997\r\n S at 349 in ARLSSEKGM with a score of 0.977\r\n T at 15 in NVTLTIRLL with a score of 0.824\r\n T at 99 in RPPVTLRLV with a score of 0.92\r\n T at 127 in IRESTGAQV with a score of 0.833\r\n T at 280 in ASTQTTHEL with a score of 0.903\r\n\r\nNetphos predictions for protein 'PDA3_HUMAN' (threshold score is 0.8):\r\n S at 40 in ESRISDTGS with a score of 0.994\r\n S at 150 in KKFISDKDA with a score of 0.997\r\n S at 155 in DKDASIVGF with a score of 0.835\r\n S at 163 in FFDDSFSEA with a score of 0.934\r\n S at 209 in LFRPSHLTN with a score of 0.892\r\n S at 229 in QKMTSGKIK with a score of 0.967\r\n S at 308 in RKTFSHELS with a score of 0.99\r\n S at 443 in NDVPSPYEV with a score of 0.996\r\n T at 330 in VAIRTAKGE with a score of 0.87\r\n Y at 269 in YDVDYEKNA with a score of 0.981\r\n Y at 416 in LEPKYKELG with a score of 0.978\r\n Y at 454 in FPTIYFSPA with a score of 0.812\r\n\r\nNetphos predictions for protein 'PDA4_HUMAN' (threshold score is 0.8):\r\n S at 32 in DEDSSNREN with a score of 0.994\r\n S at 130 in SVLASRFDV with a score of 0.832\r\n S at 135 in RFDVSGYPT with a score of 0.932\r\n S at 168 in VREVSQPDW with a score of 0.996\r\n S at 224 in AKELSKRSP with a score of 0.968\r\n S at 250 in RFDVSGYPT with a score of 0.938\r\n S at 287 in SGPPSKEIL with a score of 0.81\r\n S at 341 in HHTFSTEIA with a score of 0.866\r\n S at 365 in EKFQSKYEP with a score of 0.986\r\n S at 371 in YEPRSHMMD with a score of 0.977\r\n S at 379 in DVQGSTQDS with a score of 0.985\r\n S at 383 in STQDSAIKD with a score of 0.872\r\n S at 403 in HRKVSNDAK with a score of 0.952\r\n S at 468 in DLGLSESGE with a score of 0.974\r\n S at 470 in GLSESGEDV with a score of 0.87\r\n S at 482 in ILDESGKKF with a score of 0.929\r\n T at 179 in PPEVTLVLT with a score of 0.849\r\n T at 292 in KEILTLKQV with a score of 0.887\r\n T at 410 in AKRYTRRPL with a score of 0.913\r\n T at 431 in YRAATQFWR with a score of 0.853\r\n T at 497 in FDSDTLREF with a score of 0.955\r\n Y at 101 in FAPEYEKIA with a score of 0.973\r\n Y at 273 in PREKYGIVD with a score of 0.931\r\n Y at 320 in SDPAYQQYQ with a score of 0.966\r\n Y at 458 in DEEDYAGEV with a score of 0.972\r\n Y at 565 in LEPVYNSLA with a score of 0.856\r\n Y at 595 in PSDRYKVEG with a score of 0.901\r\n\r\nNetphos predictions for protein 'PDI_HUMAN' (threshold score is 0.8):\r\n S at 112 in GDTASPKEY with a score of 0.994\r\n S at 148 in AAAESLVES with a score of 0.944\r\n S at 152 in SLVESSEVA with a score of 0.927\r\n S at 168 in VESDSAKQF with a score of 0.981\r\n S at 264 in FLPKSVSDY with a score of 0.991\r\n S at 266 in PKSVSDYDG with a score of 0.996\r\n S at 281 in TAAESFKGK with a score of 0.971\r\n S at 331 in YKPESEELT with a score of 0.995\r\n S at 357 in PHLMSQELP with a score of 0.918\r\n S at 449 in FFPASADRT with a score of 0.894\r\n T at 319 in VRLITLEEE with a score of 0.873\r\n T at 325 in EEEMTKYKP with a score of 0.93\r\n T at 462 in NGERTLDGF with a score of 0.839\r\n Y at 327 in EMTKYKPES with a score of 0.852\r\n\r\nNetphos predictions for protein 'PDK1_HUMAN' (threshold score is 0.8):\r\n S at 29 in SRSFSSDSG with a score of 0.989\r\n S at 30 in RSFSSDSGS with a score of 0.927\r\n S at 32 in FSSDSGSSP with a score of 0.96\r\n S at 34 in SDSGSSPAS with a score of 0.9\r\n S at 35 in DSGSSPASE with a score of 0.99\r\n S at 38 in SSPASERGV with a score of 0.989\r\n S at 53 in YARFSPSPL with a score of 0.994\r\n S at 58 in PSPLSMKQF with a score of 0.988\r\n S at 128 in FKDKSAEDA with a score of 0.998\r\n S at 187 in RFYMSRISI with a score of 0.814\r\n S at 190 in MSRISIRML with a score of 0.986\r\n S at 209 in KGKGSPSHR with a score of 0.97\r\n S at 211 in KGSPSHRKH with a score of 0.988\r\n S at 259 in LNAKSPGQP with a score of 0.885\r\n S at 317 in TVKMSDRGG with a score of 0.914\r\n S at 393 in IKALSTDSI with a score of 0.904\r\n S at 396 in LSTDSIERL with a score of 0.989\r\n T at 313 in NEDLTVKMS with a score of 0.805\r\n T at 346 in PRVETSRAV with a score of 0.992\r\n Y at 233 in IKDGYENAR with a score of 0.982\r\n Y at 244 in CDLYYINSP with a score of 0.968\r\n\r\nNetphos predictions for protein 'PDX1_HUMAN' (threshold score is 0.8):\r\n S at 30 in FKDISLSDY with a score of 0.97\r\n S at 32 in DISLSDYKG with a score of 0.959\r\n S at 60 in IIAFSDRAE with a score of 0.93\r\n S at 152 in PVGRSVDET with a score of 0.942\r\n S at 191 in DVQKSKEYF with a score of 0.954\r\n T at 90 in AWVNTPKKQ with a score of 0.966\r\n T at 183 in PGSDTIKPD with a score of 0.977\r\n Y at 38 in YKGKYVVFF with a score of 0.871\r\n\r\nNetphos predictions for protein 'PDX3_HUMAN' (threshold score is 0.8):\r\n S at 12 in LLRASVARH with a score of 0.991\r\n S at 39 in CGRTSLTNL with a score of 0.947\r\n S at 57 in LFSTSSSCH with a score of 0.832\r\n S at 86 in FKDLSLDDF with a score of 0.984\r\n S at 116 in IVAFSDKAN with a score of 0.99\r\n S at 133 in VVAVSVDSH with a score of 0.9\r\n S at 199 in IKHLSVNDL with a score of 0.921\r\n S at 208 in PVGRSVEET with a score of 0.994\r\n S at 243 in TIKPSPAAS with a score of 0.921\r\n S at 247 in SPAASKEYF with a score of 0.835\r\n T at 146 in AWINTPRKN with a score of 0.981\r\n T at 212 in SVEETLRLV with a score of 0.934\r\n\r\nNetphos predictions for protein 'PDX5_HUMAN' (threshold score is 0.8):\r\n S at 34 in ARRCSEGEW with a score of 0.996\r\n S at 47 in VRSFSRAAA with a score of 0.949\r\n S at 182 in LKRFSMVVQ with a score of 0.995\r\n\r\nNetphos predictions for protein 'PDX6_HUMAN' (threshold score is 0.8):\r\n S at 74 in LSIDSVEDH with a score of 0.997\r\n S at 212 in KELPSGKKY with a score of 0.991\r\n T at 43 in PRDFTPVCT with a score of 0.98\r\n T at 129 in GMPVTARVV with a score of 0.843\r\n T at 152 in YPATTGRNF with a score of 0.978\r\n T at 176 in KRVATPVDW with a score of 0.979\r\n\r\nNetphos predictions for protein 'PE15_HUMAN' (threshold score is 0.8):\r\n S at 33 in EDIPSEKSE with a score of 0.992\r\n S at 36 in PSEKSEEIT with a score of 0.989\r\n S at 61 in KDNLSYIEH with a score of 0.993\r\n S at 90 in VLKISEEDE with a score of 0.997\r\n S at 104 in TRIPSAKKY with a score of 0.969\r\n S at 116 in IRQPSEEEI with a score of 0.998\r\n Y at 108 in SAKKYKDII with a score of 0.876\r\n\r\nNetphos predictions for protein 'PEC1_HUMAN' (threshold score is 0.8):\r\n S at 41 in VDMKSLPDW with a score of 0.957\r\n S at 87 in YNISSMKST with a score of 0.975\r\n S at 90 in SSMKSTESY with a score of 0.995\r\n S at 132 in EGVPSPRVT with a score of 0.965\r\n S at 183 in REKNSRDQN with a score of 0.913\r\n S at 203 in DRVLSFRCQ with a score of 0.965\r\n S at 221 in QTSESTKSE with a score of 0.995\r\n S at 224 in ESTKSELVT with a score of 0.905\r\n S at 308 in CKVESSRIS with a score of 0.957\r\n S at 312 in SSRISKVSS with a score of 0.992\r\n S at 326 in TELFSKPEL with a score of 0.98\r\n S at 377 in TKIASKSDS with a score of 0.992\r\n S at 379 in IASKSDSGT with a score of 0.978\r\n S at 381 in SKSDSGTYI with a score of 0.906\r\n S at 414 in QPRISYDAQ with a score of 0.995\r\n S at 433 in VRCESISGT with a score of 0.973\r\n S at 454 in VLENSTKNS with a score of 0.945\r\n S at 515 in KVVESGEDI with a score of 0.997\r\n S at 563 in KQKASKEQE with a score of 0.992\r\n S at 583 in NHASSVPRS with a score of 0.985\r\n S at 587 in SVPRSKILT with a score of 0.963\r\n S at 653 in NEKMSDPNM with a score of 0.827\r\n S at 696 in EVQVSSAES with a score of 0.986\r\n S at 697 in VQVSSAESH with a score of 0.969\r\n S at 700 in SSAESHKDL with a score of 0.998\r\n S at 729 in ESRYSRTEG with a score of 0.997\r\n T at 136 in SPRVTLDKK with a score of 0.916\r\n T at 218 in IHMQTSEST with a score of 0.834\r\n T at 222 in TSESTKSEL with a score of 0.822\r\n Y at 94 in STESYFIPE with a score of 0.909\r\n Y at 384 in DSGTYICTA with a score of 0.913\r\n Y at 474 in EDVEYQCVA with a score of 0.974\r\n Y at 570 in QEGEYYCTA with a score of 0.937\r\n Y at 690 in SDVQYTEVQ with a score of 0.96\r\n Y at 713 in TETVYSEVR with a score of 0.929\r\n\r\nNetphos predictions for protein 'PFD1_HUMAN' (threshold score is 0.8):\r\n S at 104 in YLERSVKEA with a score of 0.997\r\n Y at 61 in ETNMYEGVG with a score of 0.831\r\n\r\nNetphos predictions for protein 'PFD5_HUMAN' (threshold score is 0.8):\r\n T at 41 in KVVQTKYVE with a score of 0.896\r\n Y at 43 in VQTKYVEAK with a score of 0.912\r\n\r\nNetphos predictions for protein 'PGK1_HUMAN' (threshold score is 0.8):\r\n S at 173 in HRAHSSMVG with a score of 0.987\r\n S at 202 in KALESPERP with a score of 0.997\r\n S at 255 in EIGTSLFDE with a score of 0.985\r\n S at 319 in CGPESSKKY with a score of 0.962\r\n S at 363 in VKATSRGCI with a score of 0.821\r\n S at 389 in EDKVSHVST with a score of 0.983\r\n S at 392 in VSHVSTGGG with a score of 0.896\r\n Y at 160 in LGDVYVNDA with a score of 0.898\r\n Y at 323 in SSKKYAEAV with a score of 0.822\r\n\r\nNetphos predictions for protein 'PGMU_HUMAN' (threshold score is 0.8):\r\n S at 44 in QSIISTVEP with a score of 0.978\r\n S at 277 in ETMKSGEHD with a score of 0.882\r\n S at 371 in ASKLSLCGE with a score of 0.903\r\n S at 407 in TRKQSVEDI with a score of 0.998\r\n S at 504 in VFRLSGTGS with a score of 0.992\r\n Y at 194 in SVEAYATML with a score of 0.925\r\n Y at 475 in DNFEYSDPV with a score of 0.938\r\n\r\nNetphos predictions for protein 'PGSG_HUMAN' (threshold score is 0.8):\r\n S at 104 in SGSGSGSGS with a score of 0.911\r\n S at 106 in SGSGSGSGS with a score of 0.911\r\n Y at 120 in MEQDYQLVD with a score of 0.911\r\n\r\nNetphos predictions for protein 'PHS1_HUMAN' (threshold score is 0.8):\r\n S at 15 in RRQISIRGI with a score of 0.994\r\n S at 315 in RFKASKFGS with a score of 0.813\r\n S at 319 in SKFGSTRGA with a score of 0.824\r\n S at 430 in LRRMSLIEE with a score of 0.998\r\n S at 473 in FKDFSELEP with a score of 0.938\r\n S at 562 in INPSSMFDV with a score of 0.872\r\n S at 626 in KLITSVADV with a score of 0.92\r\n S at 652 in NYRVSLAEK with a score of 0.916\r\n S at 752 in NGFFSPKQP with a score of 0.995\r\n S at 809 in NIAASGKFS with a score of 0.991\r\n S at 813 in SGKFSSDRT with a score of 0.964\r\n S at 838 in KISLSNESN with a score of 0.899\r\n S at 841 in LSNESNKVN with a score of 0.846\r\n T at 48 in RNVATTRDY with a score of 0.877\r\n T at 219 in KWIDTQVVL with a score of 0.897\r\n T at 229 in LPYDTPVPG with a score of 0.956\r\n T at 325 in RGAGTVFDA with a score of 0.935\r\n T at 369 in AWELTQKTF with a score of 0.838\r\n T at 817 in SSDRTIKEY with a score of 0.918\r\n Y at 234 in PVPGYMNNT with a score of 0.952\r\n Y at 405 in LEIIYEINQ with a score of 0.818\r\n Y at 512 in IGEDYVKDL with a score of 0.807\r\n Y at 727 in DKKGYEAKE with a score of 0.824\r\n Y at 733 in AKEYYEALP with a score of 0.965\r\n\r\nNetphos predictions for protein 'PI52_HUMAN' (threshold score is 0.8):\r\n S at 14 in SVLASKTKT with a score of 0.963\r\n S at 201 in RNVFSHRLS with a score of 0.871\r\n S at 205 in SHRLSVYRK with a score of 0.995\r\n S at 222 in AREASDKEK with a score of 0.995\r\n S at 304 in EEGESDGTH with a score of 0.823\r\n S at 316 in TPPDSPGNT with a score of 0.996\r\n S at 347 in CHENSPRKE with a score of 0.985\r\n T at 136 in ARFHTSYDK with a score of 0.841\r\n T at 312 in HPVGTPPDS with a score of 0.954\r\n T at 376 in HAAKTVKHG with a score of 0.863\r\n Y at 192 in GVEIYVIVT with a score of 0.893\r\n\r\nNetphos predictions for protein 'PIMT_HUMAN' (threshold score is 0.8):\r\n S at 8 in SGGASHSEL with a score of 0.991\r\n S at 51 in DSPQSIGFQ with a score of 0.916\r\n S at 201 in LQDGSIKMK with a score of 0.915\r\n T at 216 in YVPLTDKEK with a score of 0.925\r\n Y at 45 in KCNPYMDSP with a score of 0.962\r\n Y at 152 in EEAPYDAIH with a score of 0.933\r\n\r\nNetphos predictions for protein 'PIS_HUMAN' (threshold score is 0.8):\r\n S at 117 in VVRGSESHK with a score of 0.962\r\n S at 119 in RGSESHKMI with a score of 0.991\r\n T at 136 in RIYYTSRPA with a score of 0.925\r\n\r\nNetphos predictions for protein 'PLE1_HUMAN' (threshold score is 0.8):\r\n\r\nNetphos predictions for protein 'PLEK_HUMAN' (threshold score is 0.8):\r\n S at 40 in YKKKSDNSP with a score of 0.96\r\n S at 43 in KSDNSPKGM with a score of 0.997\r\n S at 57 in STLTSPCQD with a score of 0.954\r\n S at 113 in FARKSTRRS with a score of 0.997\r\n S at 117 in STRRSIRLP with a score of 0.996\r\n S at 132 in ALYLSMKDT with a score of 0.998\r\n S at 199 in DMSKSAVDG with a score of 0.986\r\n S at 230 in CEENSSDDD with a score of 0.976\r\n S at 231 in EENSSDDDV with a score of 0.844\r\n S at 299 in CVVTSVESN with a score of 0.957\r\n S at 302 in TSVESNSNG with a score of 0.882\r\n S at 309 in NGRKSEEEN with a score of 0.998\r\n T at 136 in SMKDTEKGI with a score of 0.816\r\n T at 331 in LQAATPKER with a score of 0.973\r\n Y at 189 in LNEGYLQPA with a score of 0.922\r\n Y at 274 in EDPAYLHYY with a score of 0.914\r\n\r\nNetphos predictions for protein 'PLF4_HUMAN' (threshold score is 0.8):\r\n S at 48 in VKTTSQVRP with a score of 0.83\r\n T at 56 in PRHITSLEV with a score of 0.954\r\n\r\nNetphos predictions for protein 'PNPH_HUMAN' (threshold score is 0.8):\r\n S at 176 in QRALSTWKQ with a score of 0.989\r\n S at 251 in MDYESLEKA with a score of 0.826\r\n T at 110 in LGVDTLVVT with a score of 0.901\r\n Y at 5 in MENGYTYED with a score of 0.857\r\n Y at 10 in TYEDYKNTA with a score of 0.967\r\n Y at 192 in QEGTYVMVA with a score of 0.984\r\n\r\nNetphos predictions for protein 'PRO1_HUMAN' (threshold score is 0.8):\r\n S at 57 in KDRSSFYVN with a score of 0.986\r\n S at 76 in VIRDSLLQD with a score of 0.826\r\n S at 91 in LRTKSTGGA with a score of 0.991\r\n S at 137 in HLRRSQY-- with a score of 0.98\r\n Y at 59 in RSSFYVNGL with a score of 0.855\r\n\r\nNetphos predictions for protein 'PRS6_HUMAN' (threshold score is 0.8):\r\n S at 19 in IPALSVSRP with a score of 0.885\r\n S at 117 in VRILSTIDR with a score of 0.994\r\n S at 355 in KMNLSEEVD with a score of 0.925\r\n S at 371 in PDKISGADI with a score of 0.896\r\n T at 272 in DAIATKRFD with a score of 0.863\r\n T at 316 in NRADTLDPA with a score of 0.989\r\n Y at 41 in LEDLYSRYK with a score of 0.883\r\n Y at 164 in PDVMYADIG with a score of 0.967\r\n Y at 191 in HFELYKQIG with a score of 0.89\r\n Y at 363 in DLEDYVARP with a score of 0.937\r\n Y at 392 in RENRYIVLA with a score of 0.954\r\n\r\nNetphos predictions for protein 'PRS7_HUMAN' (threshold score is 0.8):\r\n S at 344 in KIEFSLPDL with a score of 0.989\r\n S at 361 in IHARSMSVE with a score of 0.961\r\n S at 363 in ARSMSVERD with a score of 0.994\r\n T at 12 in DQRKTKEDE with a score of 0.964\r\n T at 326 in NRPDTLDPA with a score of 0.986\r\n T at 405 in RKIATEKDF with a score of 0.959\r\n Y at 4 in -MPDYLGAD with a score of 0.919\r\n Y at 111 in EDPKYIINV with a score of 0.986\r\n Y at 174 in PDVTYSDVG with a score of 0.974\r\n\r\nNetphos predictions for protein 'PRTS_HUMAN' (threshold score is 0.8):\r\n S at 44 in RRANSLLEE with a score of 0.994\r\n S at 103 in AARQSTNAY with a score of 0.952\r\n S at 133 in DGYMSCKDG with a score of 0.998\r\n S at 140 in DGKASFTCT with a score of 0.924\r\n S at 181 in NTPGSYHCS with a score of 0.959\r\n S at 238 in YNLKSKSCE with a score of 0.967\r\n S at 240 in LKSKSCEDI with a score of 0.997\r\n S at 324 in ISRFSAEFD with a score of 0.995\r\n S at 369 in NEHTSKITT with a score of 0.843\r\n S at 387 in WNMVSVEEL with a score of 0.866\r\n S at 483 in VEKGSYYPG with a score of 0.976\r\n S at 517 in NIRPSTGTG with a score of 0.951\r\n S at 538 in PFAVSLVDS with a score of 0.879\r\n S at 542 in SLVDSTSEK with a score of 0.96\r\n S at 544 in VDSTSEKSQ with a score of 0.995\r\n S at 553 in DILLSVENT with a score of 0.95\r\n S at 596 in IETISHEDL with a score of 0.995\r\n Y at 80 in PETDYFYPK with a score of 0.973\r\n Y at 131 in NEDGYMSCK with a score of 0.987\r\n\r\nNetphos predictions for protein 'PSB8_HUMAN' (threshold score is 0.8):\r\n S at 24 in PVAGSGRRS with a score of 0.974\r\n S at 28 in SGRRSDPGH with a score of 0.99\r\n S at 36 in HYSFSMRSP with a score of 0.841\r\n S at 39 in FSMRSPELA with a score of 0.967\r\n S at 93 in DSRASAGSY with a score of 0.961\r\n S at 96 in ASAGSYISA with a score of 0.946\r\n S at 147 in GERISVSAA with a score of 0.949\r\n S at 220 in RPNLSPEEA with a score of 0.997\r\n S at 240 in THRDSYSGG with a score of 0.997\r\n T at 236 in IAYATHRDS with a score of 0.939\r\n Y at 97 in SAGSYISAL with a score of 0.885\r\n Y at 225 in PEEAYDLGR with a score of 0.903\r\n\r\nNetphos predictions for protein 'PSD4_HUMAN' (threshold score is 0.8):\r\n S at 73 in GRILSKLHT with a score of 0.84\r\n S at 115 in AFVGSPVED with a score of 0.814\r\n S at 223 in ALRVSMEEQ with a score of 0.998\r\n S at 242 in AAAASAAEA with a score of 0.879\r\n S at 280 in PDLSSMTEE with a score of 0.941\r\n S at 312 in IDASSAMDT with a score of 0.995\r\n T at 150 in EEVNTEKLT with a score of 0.959\r\n T at 316 in SAMDTSEPA with a score of 0.934\r\n Y at 15 in DNSEYMRNG with a score of 0.979\r\n Y at 326 in EEDDYDVMQ with a score of 0.993\r\n\r\nNetphos predictions for protein 'PSD7_HUMAN' (threshold score is 0.8):\r\n S at 18 in LVLLSVVDH with a score of 0.97\r\n S at 66 in DKDDSVWFL with a score of 0.906\r\n S at 140 in EAYISVEEV with a score of 0.993\r\n S at 160 in EHVTSEIGA with a score of 0.944\r\n S at 296 in EKEESKKDR with a score of 0.997\r\n S at 313 in DKEKSDVKK with a score of 0.951\r\n T at 151 in DGTPTSKTF with a score of 0.864\r\n T at 182 in DIKDTTVGT with a score of 0.893\r\n Y at 138 in PTEAYISVE with a score of 0.938\r\n\r\nNetphos predictions for protein 'PSP2_HUMAN' (threshold score is 0.8):\r\n S at 59 in LLNLSRKKP with a score of 0.934\r\n S at 96 in QLAQSLREE with a score of 0.994\r\n S at 186 in AVEDSDKAY with a score of 0.98\r\n S at 244 in QCVTSDEMY with a score of 0.925\r\n S at 254 in QVRKSLEMC with a score of 0.994\r\n S at 289 in NFYSSQKNA with a score of 0.994\r\n S at 315 in PIPKSSPDD with a score of 0.955\r\n S at 316 in IPKSSPDDP with a score of 0.993\r\n S at 323 in DPNYSLVDD with a score of 0.95\r\n T at 71 in SEINTLKRA with a score of 0.958\r\n Y at 248 in SDEMYEQVR with a score of 0.985\r\n Y at 322 in DDPNYSLVD with a score of 0.905\r\n\r\nNetphos predictions for protein 'PTD4_HUMAN' (threshold score is 0.8):\r\n S at 48 in NSQASAENF with a score of 0.996\r\n S at 82 in HKPASKIPA with a score of 0.895\r\n S at 115 in LSHISACDG with a score of 0.914\r\n S at 138 in HVEGSVDPI with a score of 0.806\r\n S at 232 in LVNLSEKDY with a score of 0.995\r\n S at 275 in LQELSAEER with a score of 0.944\r\n T at 320 in VRAWTIRKG with a score of 0.975\r\n Y at 183 in LKPEYDIMC with a score of 0.919\r\n Y at 236 in SEKDYIRKK with a score of 0.985\r\n Y at 282 in ERQKYLEAN with a score of 0.815\r\n\r\nNetphos predictions for protein 'PTI6_HUMAN' (threshold score is 0.8):\r\n S at 33 in FSPMSMSCA with a score of 0.908\r\n S at 62 in SFNKSGGGG with a score of 0.888\r\n S at 105 in DFLSSFRDS with a score of 0.972\r\n S at 109 in SFRDSCQKF with a score of 0.891\r\n S at 151 in AELLSPGSV with a score of 0.903\r\n S at 190 in LFKVSKNEE with a score of 0.983\r\n S at 303 in KADFSGMSQ with a score of 0.837\r\n S at 306 in FSGMSQTDL with a score of 0.991\r\n S at 313 in DLSLSKVVH with a score of 0.913\r\n T at 182 in DKENTEERL with a score of 0.815\r\n T at 205 in FKQSTFKKT with a score of 0.802\r\n Y at 250 in KELTYEKFV with a score of 0.849\r\n Y at 280 in LEESYDMES with a score of 0.809\r\n\r\nNetphos predictions for protein 'PTNB_HUMAN' (threshold score is 0.8):\r\n S at 34 in LARPSKSNP with a score of 0.982\r\n S at 44 in DFTLSVRRN with a score of 0.945\r\n S at 118 in HGHLSGKEA with a score of 0.996\r\n S at 140 in LVRESQSHP with a score of 0.973\r\n S at 150 in DFVLSVRTG with a score of 0.935\r\n S at 165 in NDGKSKVTH with a score of 0.928\r\n S at 189 in ERFDSLTDL with a score of 0.996\r\n S at 234 in VRELSKLAE with a score of 0.959\r\n S at 264 in KLLYSRKEG with a score of 0.959\r\n S at 326 in KPKKSYIAT with a score of 0.984\r\n S at 365 in ERGKSKCVK with a score of 0.807\r\n S at 404 in ELKLSKVGQ with a score of 0.899\r\n S at 448 in HKQESIMDA with a score of 0.965\r\n S at 499 in QMVRSQRSG with a score of 0.947\r\n S at 535 in EEQKSKRKG with a score of 0.988\r\n S at 548 in NIKYSLADQ with a score of 0.986\r\n S at 558 in SGDQSPLPP with a score of 0.959\r\n S at 576 in MREDSARVY with a score of 0.983\r\n S at 591 in QQQKSFR-- with a score of 0.846\r\n T at 2 in ---MTSRRW with a score of 0.846\r\n T at 240 in LAETTDKVK with a score of 0.923\r\n T at 356 in VIVMTTKEV with a score of 0.977\r\n T at 397 in AHDYTLREL with a score of 0.851\r\n Y at 62 in NTGDYYDLY with a score of 0.89\r\n Y at 179 in QELKYDVGG with a score of 0.928\r\n Y at 279 in NKNRYKNIL with a score of 0.951\r\n Y at 304 in PVSDYINAN with a score of 0.941\r\n Y at 542 in KGHEYTNIK with a score of 0.914\r\n Y at 580 in SARVYENVG with a score of 0.949\r\n\r\nNetphos predictions for protein 'PTNC_HUMAN' (threshold score is 0.8):\r\n S at 39 in LRRLSTKYR with a score of 0.997\r\n S at 83 in LKTPSQDSD with a score of 0.871\r\n S at 86 in PSQDSDYIN with a score of 0.917\r\n S at 163 in PFKISCEDE with a score of 0.983\r\n S at 204 in HDVPSSFDS with a score of 0.978\r\n S at 208 in SSFDSILDM with a score of 0.922\r\n S at 275 in TQRHSAVQT with a score of 0.996\r\n S at 323 in ENMVSSIEP with a score of 0.985\r\n S at 324 in NMVSSIEPE with a score of 0.938\r\n S at 332 in EKQDSPPPK with a score of 0.976\r\n S at 372 in PSPPSAFPT with a score of 0.95\r\n S at 402 in SEQHSADLN with a score of 0.926\r\n S at 410 in NRNYSKSTE with a score of 0.802\r\n S at 412 in NYSKSTELP with a score of 0.899\r\n S at 421 in GKNESTIEQ with a score of 0.981\r\n S at 435 in ERNLSFEIK with a score of 0.89\r\n S at 468 in IKSASPCIA with a score of 0.983\r\n S at 494 in TSQNSCVDC with a score of 0.95\r\n S at 517 in ESQNSDTPP with a score of 0.944\r\n S at 551 in IPDLSEGNS with a score of 0.917\r\n S at 567 in RKTVSLTPS with a score of 0.958\r\n S at 603 in NPLHSDDSD with a score of 0.973\r\n S at 606 in HSDDSDSDE with a score of 0.996\r\n S at 608 in DDSDSDERN with a score of 0.997\r\n S at 613 in DERNSDGAV with a score of 0.976\r\n S at 636 in SAATSTESI with a score of 0.975\r\n S at 641 in TESISTRKV with a score of 0.832\r\n S at 661 in GTTHSGAEK with a score of 0.851\r\n S at 670 in DVDVSEDSP with a score of 0.967\r\n S at 673 in VSEDSPPPL with a score of 0.973\r\n S at 689 in FVLASEHNT with a score of 0.841\r\n S at 704 in SELQSQERS with a score of 0.973\r\n S at 751 in REQISENPT with a score of 0.943\r\n T at 40 in RRLSTKYRT with a score of 0.972\r\n T at 367 in PPILTPSPP with a score of 0.968\r\n T at 574 in PSPTTQVET with a score of 0.983\r\n T at 642 in ESISTRKVL with a score of 0.867\r\n T at 681 in LPERTPESF with a score of 0.873\r\n T at 693 in SEHNTPVRS with a score of 0.955\r\n Y at 64 in KKNRYKDIL with a score of 0.949\r\n Y at 88 in QDSDYINAN with a score of 0.984\r\n Y at 194 in YQFHYVNWP with a score of 0.917\r\n Y at 283 in TKEQYELVH with a score of 0.921\r\n Y at 387 in DNDRYHPKP with a score of 0.951\r\n\r\nNetphos predictions for protein 'PUR8_HUMAN' (threshold score is 0.8):\r\n S at 12 in GSPDSYRSP with a score of 0.921\r\n S at 15 in DSYRSPLAS with a score of 0.984\r\n S at 19 in SPLASRYAS with a score of 0.963\r\n S at 23 in SRYASPEMC with a score of 0.997\r\n S at 67 in QEMKSNLEN with a score of 0.924\r\n S at 151 in KERASLPTL with a score of 0.814\r\n S at 301 in NPMRSERCC with a score of 0.923\r\n S at 407 in IRVLSQQAA with a score of 0.929\r\n S at 412 in QQAASVVKQ with a score of 0.967\r\n S at 438 in SPIHSQLDH with a score of 0.978\r\n S at 454 in TGRASQQVQ with a score of 0.976\r\n T at 166 in PAQLTTVGK with a score of 0.801\r\n T at 330 in WFERTLDDS with a score of 0.881\r\n Y at 13 in SPDSYRSPL with a score of 0.919\r\n Y at 466 in EEEVYPLLK with a score of 0.907\r\n\r\nNetphos predictions for protein 'PUR9_HUMAN' (threshold score is 0.8):\r\n S at 12 in LFSVSDKTG with a score of 0.814\r\n S at 52 in VRDVSELTG with a score of 0.922\r\n S at 112 in KTVASPGVT with a score of 0.919\r\n S at 155 in YVVVSTEMQ with a score of 0.986\r\n S at 160 in TEMQSSESK with a score of 0.969\r\n S at 161 in EMQSSESKD with a score of 0.935\r\n S at 163 in QSSESKDTS with a score of 0.958\r\n S at 167 in SKDTSLETR with a score of 0.983\r\n S at 202 in SKGVSQMPL with a score of 0.813\r\n S at 280 in GIPLSEDEA with a score of 0.933\r\n S at 313 in ADRMSSFGD with a score of 0.97\r\n S at 314 in DRMSSFGDF with a score of 0.995\r\n S at 334 in AKIISREVS with a score of 0.98\r\n S at 338 in SREVSDGII with a score of 0.938\r\n S at 370 in QMDQSYKPD with a score of 0.945\r\n S at 563 in IAAPSGSAA with a score of 0.865\r\n T at 67 in GRVKTLHPA with a score of 0.94\r\n T at 143 in HARVTVVCE with a score of 0.856\r\n T at 166 in ESKDTSLET with a score of 0.928\r\n T at 215 in NPHQTPAQL with a score of 0.953\r\n T at 297 in YKTLTPISA with a score of 0.814\r\n T at 498 in YVTGTIGED with a score of 0.89\r\n Y at 151 in EPEDYVVVS with a score of 0.985\r\n Y at 346 in IAPGYEEEA with a score of 0.839\r\n\r\nNetphos predictions for protein 'R11A_HUMAN' (threshold score is 0.8):\r\n S at 149 in KNGLSFIET with a score of 0.969\r\n S at 177 in YRIVSQKQM with a score of 0.992\r\n S at 182 in QKQMSDRRE with a score of 0.993\r\n S at 190 in ENDMSPSNN with a score of 0.995\r\n Y at 8 in RDDEYDYLF with a score of 0.917\r\n Y at 99 in KHLTYENVE with a score of 0.855\r\n\r\nNetphos predictions for protein 'R23B_HUMAN' (threshold score is 0.8):\r\n S at 32 in EKIESEKGK with a score of 0.994\r\n S at 101 in TAVTSSTTT with a score of 0.855\r\n S at 102 in AVTSSTTTT with a score of 0.866\r\n S at 125 in STPASITPA with a score of 0.964\r\n S at 134 in SATASSEPA with a score of 0.95\r\n S at 160 in PVATSPTAT with a score of 0.997\r\n S at 166 in TATDSTSGD with a score of 0.836\r\n S at 168 in TDSTSGDSS with a score of 0.978\r\n S at 171 in TSGDSSRSN with a score of 0.99\r\n S at 172 in SGDSSRSNL with a score of 0.992\r\n S at 214 in ALRASFNNP with a score of 0.911\r\n S at 270 in TTTTSSGGH with a score of 0.968\r\n T at 22 in DPEETVKAL with a score of 0.968\r\n T at 82 in KAVSTPAPA with a score of 0.929\r\n T at 155 in KPAETPVAT with a score of 0.976\r\n Y at 190 in TGQSYENMV with a score of 0.81\r\n\r\nNetphos predictions for protein 'R27B_HUMAN' (threshold score is 0.8):\r\n S at 62 in PNGSSGKAF with a score of 0.913\r\n\r\nNetphos predictions for protein 'RAB7_HUMAN' (threshold score is 0.8):\r\n S at 101 in KTLDSWRDE with a score of 0.998\r\n S at 111 in LIQASPRDP with a score of 0.997\r\n S at 155 in YFETSAKEA with a score of 0.994\r\n S at 201 in RAKASAESC with a score of 0.828\r\n T at 2 in ---MTSRKK with a score of 0.942\r\n Y at 28 in LMNQYVNKK with a score of 0.904\r\n\r\nNetphos predictions for protein 'RAP3_HUMAN' (threshold score is 0.8):\r\n S at 49 in EVDSSPSVL with a score of 0.992\r\n S at 51 in DSSPSVLEI with a score of 0.903\r\n S at 66 in EQFASMRDL with a score of 0.994\r\n S at 127 in EREVSYGEG with a score of 0.997\r\n S at 152 in KNKASVDEL with a score of 0.979\r\n Y at 71 in MRDLYIKNG with a score of 0.904\r\n Y at 128 in REVSYGEGK with a score of 0.882\r\n\r\nNetphos predictions for protein 'RAPB_HUMAN' (threshold score is 0.8):\r\n S at 39 in TIEDSYRKQ with a score of 0.971\r\n S at 179 in ARKKSSCQL with a score of 0.974\r\n T at 169 in INRKTPVPG with a score of 0.963\r\n Y at 71 in MRDLYMKNG with a score of 0.873\r\n\r\nNetphos predictions for protein 'RB13_HUMAN' (threshold score is 0.8):\r\n S at 95 in TDEKSFENI with a score of 0.975\r\n S at 105 in NWMKSIKEN with a score of 0.988\r\n S at 111 in KENASAGVE with a score of 0.888\r\n S at 151 in FFETSAKSS with a score of 0.938\r\n S at 154 in TSAKSSMNV with a score of 0.949\r\n S at 155 in SAKSSMNVD with a score of 0.932\r\n S at 178 in GGRRSGNGN with a score of 0.984\r\n Y at 37 in FNNTYISTI with a score of 0.81\r\n\r\nNetphos predictions for protein 'RB14_HUMAN' (threshold score is 0.8):\r\n S at 79 in AVTRSYYRG with a score of 0.976\r\n S at 97 in ITRRSTYNH with a score of 0.995\r\n T at 4 in -MATTPYNY with a score of 0.957\r\n T at 135 in QRDVTYEEA with a score of 0.83\r\n T at 203 in GGRLTSEPQ with a score of 0.899\r\n Y at 136 in RDVTYEEAK with a score of 0.922\r\n Y at 173 in AKKIYQNIQ with a score of 0.866\r\n\r\nNetphos predictions for protein 'RB18_HUMAN' (threshold score is 0.8):\r\n S at 51 in VKTISVDGN with a score of 0.924\r\n S at 76 in TLTPSYYRG with a score of 0.977\r\n S at 144 in ARKHSMLFI with a score of 0.961\r\n S at 188 in GVKLSHREE with a score of 0.994\r\n T at 91 in VYDVTRRDT with a score of 0.93\r\n T at 95 in TRRDTFVKL with a score of 0.973\r\n\r\nNetphos predictions for protein 'RB1A_HUMAN' (threshold score is 0.8):\r\n S at 42 in ESYISTIGV with a score of 0.95\r\n S at 79 in TITSSYYRG with a score of 0.975\r\n S at 114 in DRYASENVN with a score of 0.976\r\n S at 154 in FLETSAKNA with a score of 0.868\r\n T at 129 in KCDLTTKKV with a score of 0.866\r\n T at 138 in VDYTTAKEF with a score of 0.952\r\n Y at 36 in ADDTYTESY with a score of 0.977\r\n Y at 40 in YTESYISTI with a score of 0.853\r\n Y at 112 in EIDRYASEN with a score of 0.891\r\n\r\nNetphos predictions for protein 'RB1B_HUMAN' (threshold score is 0.8):\r\n S at 39 in ESYISTIGV with a score of 0.95\r\n S at 76 in TITSSYYRG with a score of 0.975\r\n S at 111 in DRYASENVN with a score of 0.976\r\n S at 151 in FLETSAKNA with a score of 0.868\r\n S at 179 in PGAASGGER with a score of 0.968\r\n T at 126 in KSDLTTKKV with a score of 0.933\r\n T at 127 in SDLTTKKVV with a score of 0.869\r\n T at 135 in VDNTTAKEF with a score of 0.863\r\n Y at 33 in ADDTYTESY with a score of 0.977\r\n Y at 37 in YTESYISTI with a score of 0.853\r\n Y at 96 in DQESYANVK with a score of 0.984\r\n Y at 109 in EIDRYASEN with a score of 0.891\r\n\r\nNetphos predictions for protein 'RB2A_HUMAN' (threshold score is 0.8):\r\n S at 67 in AGQESFRSI with a score of 0.921\r\n S at 74 in SITRSYYRG with a score of 0.984\r\n S at 108 in ARQHSNSNM with a score of 0.986\r\n S at 121 in IGNKSDLES with a score of 0.9\r\n S at 125 in SDLESRREV with a score of 0.995\r\n S at 154 in AKTASNVEE with a score of 0.837\r\n T at 89 in VYDITRRDT with a score of 0.93\r\n T at 93 in TRRDTFNHL with a score of 0.81\r\n T at 163 in AFINTAKEI with a score of 0.806\r\n Y at 168 in AKEIYEKIQ with a score of 0.972\r\n\r\nNetphos predictions for protein 'RB5B_HUMAN' (threshold score is 0.8):\r\n S at 16 in QPQASKICQ with a score of 0.941\r\n S at 123 in QRQASPSIV with a score of 0.878\r\n S at 184 in KLPKSEPQN with a score of 0.931\r\n T at 2 in ---MTSRST with a score of 0.97\r\n T at 6 in TSRSTARPN with a score of 0.93\r\n T at 113 in ARAKTWVKE with a score of 0.898\r\n Y at 145 in RMVEYEEAQ with a score of 0.921\r\n Y at 151 in EAQAYADDN with a score of 0.913\r\n\r\nNetphos predictions for protein 'RB6A_HUMAN' (threshold score is 0.8):\r\n S at 81 in SLIPSYIRD with a score of 0.903\r\n S at 86 in YIRDSTVAV with a score of 0.959\r\n S at 117 in TERGSDVII with a score of 0.884\r\n S at 137 in KRQVSIEEG with a score of 0.998\r\n S at 184 in TQDRSREDM with a score of 0.997\r\n T at 104 in SFQQTTKWI with a score of 0.859\r\n T at 113 in DDVRTERGS with a score of 0.865\r\n T at 180 in GMESTQDRS with a score of 0.81\r\n\r\nNetphos predictions for protein 'RHG1_HUMAN' (threshold score is 0.8):\r\n S at 35 in KNWPSDEMP with a score of 0.918\r\n S at 47 in KSDDSKSSS with a score of 0.994\r\n S at 49 in DDSKSSSPE with a score of 0.96\r\n S at 50 in DSKSSSPEL with a score of 0.99\r\n S at 51 in SKSSSPELV with a score of 0.991\r\n S at 136 in DNKPSLSWL with a score of 0.813\r\n S at 138 in KPSLSWLRD with a score of 0.822\r\n S at 223 in STQKSPATA with a score of 0.975\r\n S at 284 in IFRRSANTQ with a score of 0.813\r\n T at 287 in RSANTQVVR with a score of 0.843\r\n Y at 64 in WDDPYYDIA with a score of 0.983\r\n Y at 65 in DDPYYDIAR with a score of 0.934\r\n Y at 81 in GDDKYGRKI with a score of 0.869\r\n Y at 115 in TLDQYVESD with a score of 0.911\r\n Y at 120 in VESDYTLLY with a score of 0.899\r\n Y at 365 in PEENYQVLR with a score of 0.927\r\n\r\nNetphos predictions for protein 'RHG6_HUMAN' (threshold score is 0.8):\r\n S at 18 in SSPASSSAA with a score of 0.852\r\n S at 23 in SSAASAKGF with a score of 0.993\r\n S at 28 in AKGFSKRKL with a score of 0.979\r\n S at 81 in PRLASSSRG with a score of 0.987\r\n S at 82 in RLASSSRGP with a score of 0.979\r\n S at 83 in LASSSRGPP with a score of 0.903\r\n S at 113 in PQEKSPSGS with a score of 0.993\r\n S at 115 in EKSPSGSFH with a score of 0.919\r\n S at 154 in RSASSILCS with a score of 0.9\r\n S at 181 in RKFQSPPDS with a score of 0.992\r\n S at 195 in VVWKSEGDF with a score of 0.955\r\n S at 213 in VRLRSVPIQ with a score of 0.801\r\n S at 218 in VPIQSLSEL with a score of 0.91\r\n S at 257 in KRKKSLRKK with a score of 0.989\r\n S at 264 in KKLDSLGKE with a score of 0.985\r\n S at 328 in NKELSSSNS with a score of 0.936\r\n S at 333 in SSNSSLSST with a score of 0.985\r\n S at 335 in NSSLSSTSE with a score of 0.977\r\n S at 336 in SSLSSTSET with a score of 0.995\r\n S at 338 in LSSTSETPN with a score of 0.981\r\n S at 346 in NESTSPNTP with a score of 0.98\r\n S at 363 in RGAMSVDSI with a score of 0.955\r\n S at 366 in MSVDSITDL with a score of 0.996\r\n S at 391 in AEAQSKKEK with a score of 0.994\r\n S at 436 in FRVGSSKKR with a score of 0.978\r\n S at 437 in RVGSSKKRV with a score of 0.991\r\n S at 455 in GIDVSLEEE with a score of 0.992\r\n S at 461 in EEEHSVHDV with a score of 0.98\r\n S at 538 in DDNISKDGQ with a score of 0.847\r\n S at 569 in KQKSSDKEF with a score of 0.993\r\n S at 574 in DKEFSVQSS with a score of 0.814\r\n S at 578 in SVQSSARAE with a score of 0.984\r\n S at 633 in RRKASQSSS with a score of 0.99\r\n S at 635 in KASQSSSPD with a score of 0.853\r\n S at 636 in ASQSSSPDM with a score of 0.984\r\n S at 637 in SQSSSPDML with a score of 0.896\r\n S at 654 in GGRHSSTDS with a score of 0.995\r\n S at 655 in GRHSSTDSN with a score of 0.949\r\n S at 658 in SSTDSNKAS with a score of 0.937\r\n S at 662 in SNKASSGDI with a score of 0.989\r\n S at 663 in NKASSGDIS with a score of 0.971\r\n S at 667 in SGDISPYDN with a score of 0.997\r\n S at 673 in YDNNSPVLS with a score of 0.808\r\n S at 712 in HLSSSKSRE with a score of 0.966\r\n S at 714 in SSSKSRESS with a score of 0.995\r\n S at 717 in KSRESSPGP with a score of 0.996\r\n S at 718 in SRESSPGPR with a score of 0.994\r\n S at 728 in GKDLSEEPF with a score of 0.956\r\n S at 746 in LKSGSKDPG with a score of 0.84\r\n S at 763 in FESSSLRAG with a score of 0.97\r\n S at 777 in QGNLSPNWP with a score of 0.982\r\n S at 786 in RWQGSPAEL with a score of 0.973\r\n S at 850 in AHDLSESEL with a score of 0.992\r\n S at 873 in RPHGSGRDD with a score of 0.99\r\n S at 927 in QKKLSSANS with a score of 0.981\r\n S at 939 in GEQDSPRLG with a score of 0.99\r\n T at 108 in STPSTPQEK with a score of 0.908\r\n T at 340 in STSETPNES with a score of 0.874\r\n T at 349 in TSPNTPEPA with a score of 0.909\r\n T at 834 in AERPTARSE with a score of 0.931\r\n T at 906 in EGVETPTDQ with a score of 0.864\r\n Y at 697 in SEKLYRVPG with a score of 0.903\r\n\r\nNetphos predictions for protein 'RHOA_HUMAN' (threshold score is 0.8):\r\n S at 73 in LRPLSYPDT with a score of 0.998\r\n S at 91 in DSPDSLENI with a score of 0.996\r\n T at 127 in NDEHTRREL with a score of 0.92\r\n Y at 66 in GQEDYDRLR with a score of 0.843\r\n\r\nNetphos predictions for protein 'RIB1_HUMAN' (threshold score is 0.8):\r\n S at 25 in PGSASSEAP with a score of 0.962\r\n S at 43 in TVDLSSHLA with a score of 0.843\r\n S at 68 in SRATSFLLA with a score of 0.935\r\n S at 109 in IKGKSGRFF with a score of 0.972\r\n S at 149 in QITQSEKQF with a score of 0.978\r\n S at 262 in KGPFSRYDY with a score of 0.987\r\n S at 275 in DSGISSIRS with a score of 0.949\r\n S at 276 in SGISSIRSF with a score of 0.885\r\n S at 279 in SSIRSFKTI with a score of 0.905\r\n S at 311 in ILDDSVEME with a score of 0.891\r\n S at 385 in IEIDSPYEI with a score of 0.982\r\n S at 510 in SRDISTLNS with a score of 0.915\r\n S at 514 in STLNSGKKS with a score of 0.979\r\n S at 518 in SGKKSLETE with a score of 0.912\r\n S at 565 in LVLKSAVEA with a score of 0.936\r\n S at 590 in EKLISGKRQ with a score of 0.993\r\n T at 63 in GGGSTSRAT with a score of 0.967\r\n T at 114 in GRFFTVKLP with a score of 0.872\r\n T at 172 in TKTQTMRVK with a score of 0.874\r\n T at 213 in YSQDTFKVH with a score of 0.875\r\n Y at 185 in NVESYTKLG with a score of 0.839\r\n Y at 218 in FKVHYENNS with a score of 0.97\r\n Y at 398 in DELHYTYLD with a score of 0.873\r\n Y at 582 in KKDTYIENE with a score of 0.981\r\n\r\nNetphos predictions for protein 'RSG3_HUMAN' (threshold score is 0.8):\r\n S at 31 in YPGPSKMRD with a score of 0.929\r\n S at 90 in FRRDSIIGK with a score of 0.99\r\n S at 134 in ELRLSEVIT with a score of 0.948\r\n S at 207 in TRPCSYSKK with a score of 0.834\r\n S at 209 in PCSYSKKSH with a score of 0.985\r\n S at 212 in YSKKSHFDF with a score of 0.997\r\n S at 256 in VLRQSSSYE with a score of 0.943\r\n S at 257 in LRQSSSYEA with a score of 0.984\r\n S at 258 in RQSSSYEAW with a score of 0.848\r\n S at 274 in NGSKSLKPD with a score of 0.996\r\n S at 301 in SDYYSPLRD with a score of 0.958\r\n S at 317 in VEPVSASAA with a score of 0.899\r\n S at 509 in DPQTSRTLT with a score of 0.917\r\n S at 526 in LGSLSKSKS with a score of 0.959\r\n S at 528 in SLSKSKSAS with a score of 0.98\r\n S at 530 in SKSKSASFK with a score of 0.895\r\n S at 532 in SKSASFKES with a score of 0.998\r\n S at 536 in SFKESYMAT with a score of 0.945\r\n S at 564 in LISSSGRRD with a score of 0.984\r\n S at 571 in RDPKSVEQP with a score of 0.996\r\n S at 615 in TYHKSKGDQ with a score of 0.973\r\n S at 676 in LTKVSQCNQ with a score of 0.957\r\n S at 703 in CRAPSDSAP with a score of 0.805\r\n S at 755 in CGSKSVYDG with a score of 0.997\r\n S at 809 in TKYGSQEHP with a score of 0.984\r\n S at 827 in IRQQSETST with a score of 0.977\r\n T at 395 in YLHVTLKPA with a score of 0.817\r\n T at 606 in WFRLTNHEF with a score of 0.952\r\n T at 730 in GDRETERIY with a score of 0.896\r\n T at 776 in DPQETYKTL with a score of 0.821\r\n T at 779 in ETYKTLKQV with a score of 0.852\r\n Y at 66 in GEDFYCEIP with a score of 0.967\r\n Y at 167 in QCDPYATVT with a score of 0.959\r\n Y at 199 in DEVFYFEVT with a score of 0.808\r\n Y at 299 in FSSDYYSPL with a score of 0.871\r\n Y at 300 in SSDYYSPLR with a score of 0.859\r\n Y at 537 in FKESYMATF with a score of 0.853\r\n Y at 550 in NEQKYADAV with a score of 0.98\r\n Y at 612 in HEFTYHKSK with a score of 0.812\r\n Y at 765 in EQEEYSTFV with a score of 0.847\r\n Y at 777 in PQETYKTLK with a score of 0.821\r\n Y at 807 in KKTKYGSQE with a score of 0.871\r\n\r\nNetphos predictions for protein 'RSU1_HUMAN' (threshold score is 0.8):\r\n S at 12 in LVEESREKN with a score of 0.939\r\n S at 23 in EVDMSDRGI with a score of 0.969\r\n S at 142 in ALYLSDNDF with a score of 0.981\r\n S at 163 in LQILSLRDN with a score of 0.992\r\n S at 264 in NNDKSKKIS with a score of 0.993\r\n S at 268 in SKKISRKPL with a score of 0.993\r\n Y at 242 in RSETYKYLY with a score of 0.902\r\n\r\nNetphos predictions for protein 'S104_HUMAN' (threshold score is 0.8):\r\n S at 20 in FHKYSGKEG with a score of 0.997\r\n S at 60 in QKLMSNLDS with a score of 0.846\r\n S at 64 in SNLDSNRDN with a score of 0.996\r\n\r\nNetphos predictions for protein 'S106_HUMAN' (threshold score is 0.8):\r\n S at 20 in FHKYSGREG with a score of 0.996\r\n S at 30 in KHTLSKKEL with a score of 0.997\r\n\r\nNetphos predictions for protein 'S23A_HUMAN' (threshold score is 0.8):\r\n S at 20 in GVRFSWNVW with a score of 0.87\r\n S at 196 in TKDLSAKQL with a score of 0.973\r\n S at 264 in PLRSSGVAL with a score of 0.975\r\n S at 312 in TPIRSWHDI with a score of 0.996\r\n S at 452 in ICGLSPTTT with a score of 0.851\r\n S at 567 in DDPSSFRFS with a score of 0.992\r\n S at 571 in SFRFSETFS with a score of 0.991\r\n S at 596 in VFNNSPDES with a score of 0.978\r\n S at 601 in PDESSYYRH with a score of 0.972\r\n S at 670 in QWRKSGYQD with a score of 0.985\r\n T at 65 in CSRTTCRAV with a score of 0.977\r\n T at 137 in YVVDTCMED with a score of 0.897\r\n T at 192 in VFRGTKDLS with a score of 0.891\r\n T at 340 in NRAATTGHV with a score of 0.821\r\n T at 410 in LEIKTSREI with a score of 0.929\r\n T at 498 in IRVTTIARN with a score of 0.856\r\n T at 536 in YRAETEEGP with a score of 0.94\r\n Y at 119 in SSIEYVVLR with a score of 0.872\r\n Y at 323 in DNAKYVKKG with a score of 0.976\r\n Y at 602 in DESSYYRHH with a score of 0.919\r\n Y at 672 in RKSGYQDMP with a score of 0.987\r\n Y at 678 in DMPEYENFR with a score of 0.987\r\n Y at 705 in PMPRYIDTE with a score of 0.974\r\n\r\nNetphos predictions for protein 'S61G_HUMAN' (threshold score is 0.8):\r\n\r\nNetphos predictions for protein 'SAH2_HUMAN' (threshold score is 0.8):\r\n S at 32 in TGRRSLSRS with a score of 0.997\r\n S at 34 in RRSLSRSIS with a score of 0.958\r\n S at 36 in SLSRSISQS with a score of 0.975\r\n S at 38 in SRSISQSST with a score of 0.994\r\n S at 40 in SISQSSTDS with a score of 0.995\r\n S at 41 in ISQSSTDSY with a score of 0.903\r\n S at 44 in SSTDSYSSA with a score of 0.946\r\n S at 50 in SSAASYTDS with a score of 0.997\r\n S at 54 in SYTDSSDDE with a score of 0.95\r\n S at 55 in YTDSSDDEV with a score of 0.962\r\n S at 60 in DDEVSPREK with a score of 0.996\r\n S at 145 in QCRWSACNI with a score of 0.804\r\n S at 174 in WKGESEDDF with a score of 0.882\r\n S at 251 in NVNDSVTKQ with a score of 0.983\r\n S at 266 in CCRESILDG with a score of 0.983\r\n S at 370 in NMGHSNTEI with a score of 0.818\r\n S at 391 in ERVRSQVDH with a score of 0.994\r\n T at 28 in FPTKTGRRS with a score of 0.908\r\n Y at 45 in STDSYSSAA with a score of 0.98\r\n Y at 51 in SAASYTDSS with a score of 0.902\r\n Y at 461 in KMDEYVASL with a score of 0.98\r\n\r\nNetphos predictions for protein 'SARA_HUMAN' (threshold score is 0.8):\r\n S at 61 in LHPTSEELT with a score of 0.992\r\n S at 143 in TDAISEEKL with a score of 0.995\r\n T at 158 in YGQTTGKGN with a score of 0.951\r\n\r\nNetphos predictions for protein 'SCOT_HUMAN' (threshold score is 0.8):\r\n S at 113 in KRMVSSYVG with a score of 0.992\r\n S at 226 in IFRKSARNF with a score of 0.917\r\n S at 283 in IERLSIRKE with a score of 0.996\r\n S at 294 in GEAKSAKPG with a score of 0.994\r\n S at 381 in ASFFSSDES with a score of 0.924\r\n S at 444 in TMEHSAKGN with a score of 0.863\r\n S at 501 in DVQKSTGCD with a score of 0.972\r\n S at 509 in DFAVSPKLM with a score of 0.923\r\n T at 136 in EVELTPQGT with a score of 0.898\r\n T at 240 in KAAETTVVE with a score of 0.874\r\n T at 241 in AAETTVVEV with a score of 0.976\r\n T at 435 in SSAKTKVVV with a score of 0.812\r\n T at 471 in NRIITEKAV with a score of 0.965\r\n T at 494 in WEGLTVDDV with a score of 0.873\r\n Y at 318 in EDGMYANLG with a score of 0.98\r\n\r\nNetphos predictions for protein 'SEP6_HUMAN' (threshold score is 0.8):\r\n S at 114 in NKEDSYKPI with a score of 0.996\r\n S at 161 in PTGHSLKSL with a score of 0.982\r\n S at 175 in KKLDSKVNI with a score of 0.915\r\n S at 190 in ADAISKSEL with a score of 0.987\r\n S at 221 in TDDESVAEI with a score of 0.811\r\n S at 240 in AVIGSTEEL with a score of 0.98\r\n S at 315 in TDPDSKPFS with a score of 0.883\r\n S at 319 in SKPFSLQET with a score of 0.993\r\n S at 388 in DKKKSLDDE with a score of 0.997\r\n T at 418 in GGSQTLKRD with a score of 0.945\r\n Y at 115 in KEDSYKPIV with a score of 0.969\r\n\r\nNetphos predictions for protein 'SEP7_HUMAN' (threshold score is 0.8):\r\n S at 25 in VYRKSVKRG with a score of 0.996\r\n S at 315 in QLTKSPLAQ with a score of 0.811\r\n S at 356 in KLKDSEAEL with a score of 0.86\r\n T at 209 in EFPETDDEE with a score of 0.827\r\n Y at 11 in NLEGYVGFA with a score of 0.834\r\n Y at 114 in PVIDYIDSK with a score of 0.827\r\n Y at 122 in KFEDYLNAE with a score of 0.94\r\n Y at 287 in NNVHYENYR with a score of 0.919\r\n\r\nNetphos predictions for protein 'SH31_HUMAN' (threshold score is 0.8):\r\n S at 18 in SQLVSEKVG with a score of 0.897\r\n S at 44 in VDVTSKAVT with a score of 0.832\r\n S at 120 in DAGESMKRL with a score of 0.96\r\n S at 193 in KFEESKEVA with a score of 0.983\r\n S at 248 in MREASSRPK with a score of 0.992\r\n S at 249 in REASSRPKR with a score of 0.826\r\n S at 287 in IAASSSFRS with a score of 0.858\r\n S at 288 in AASSSFRSS with a score of 0.981\r\n S at 292 in SFRSSDKPI with a score of 0.997\r\n S at 300 in IRTPSRSMP with a score of 0.981\r\n S at 302 in TPSRSMPPL with a score of 0.949\r\n T at 27 in GAEGTKLDD with a score of 0.838\r\n T at 298 in KPIRTPSRS with a score of 0.845\r\n Y at 86 in KNPGYPQSE with a score of 0.916\r\n Y at 344 in DENWYEGML with a score of 0.904\r\n Y at 359 in FPLSYVEVL with a score of 0.825\r\n\r\nNetphos predictions for protein 'SHO2_HUMAN' (threshold score is 0.8):\r\n S at 11 in KEKDSKEKD with a score of 0.996\r\n S at 20 in PKVPSAKER with a score of 0.995\r\n S at 31 in EAKASGGFG with a score of 0.942\r\n S at 38 in FGKESKEKE with a score of 0.978\r\n S at 57 in GKKDSSAAQ with a score of 0.801\r\n S at 85 in TRKKSSNAE with a score of 0.986\r\n S at 86 in RKKSSNAEV with a score of 0.934\r\n S at 108 in RLDLSKRSI with a score of 0.938\r\n S at 118 in ILPSSIKEL with a score of 0.986\r\n S at 160 in NSLTSLPDS with a score of 0.988\r\n S at 164 in SLPDSLDNL with a score of 0.985\r\n S at 221 in LSMLSIREN with a score of 0.995\r\n S at 297 in YNRLSAIPR with a score of 0.933\r\n S at 547 in LSIMSIENC with a score of 0.883\r\n T at 71 in SVDNTIKRP with a score of 0.865\r\n T at 81 in PAPGTRKKS with a score of 0.931\r\n T at 205 in FNRITTVEK with a score of 0.813\r\n T at 206 in NRITTVEKD with a score of 0.964\r\n Y at 523 in LEELYLNDN with a score of 0.939\r\n\r\nNetphos predictions for protein 'SM4D_HUMAN' (threshold score is 0.8):\r\n S at 79 in ALNISEKQH with a score of 0.869\r\n S at 192 in ISRNSSHSP with a score of 0.991\r\n S at 193 in SRNSSHSPL with a score of 0.995\r\n S at 195 in NSSHSPLRT with a score of 0.998\r\n S at 220 in VIRKSPDSP with a score of 0.997\r\n S at 223 in KSPDSPDGE with a score of 0.998\r\n S at 453 in HKAISLEHA with a score of 0.899\r\n S at 480 in LLLSSKKGN with a score of 0.991\r\n S at 537 in HQTESPSRG with a score of 0.929\r\n S at 551 in SGDASVCPD with a score of 0.948\r\n S at 560 in KSKGSYRQH with a score of 0.994\r\n S at 577 in ELKCSQKSN with a score of 0.863\r\n S at 598 in LKAESPKYG with a score of 0.991\r\n S at 615 in IFNLSEGDS with a score of 0.944\r\n S at 780 in KKPKSDFCD with a score of 0.992\r\n S at 788 in DREQSLKET with a score of 0.996\r\n S at 833 in DREDSQRID with a score of 0.997\r\n S at 840 in IDDLSARDK with a score of 0.997\r\n S at 857 in KFADSDADG with a score of 0.994\r\n T at 346 in YMQSTTVEQ with a score of 0.825\r\n T at 670 in SRIATKVLV with a score of 0.904\r\n T at 706 in APTGTSCEP with a score of 0.964\r\n T at 813 in PALDTGYET with a score of 0.975\r\n T at 828 in SKVPTDRED with a score of 0.905\r\n Y at 48 in EPDIYNYSA with a score of 0.914\r\n Y at 179 in SGTSYNFLG with a score of 0.811\r\n Y at 342 in SHGKYMQST with a score of 0.92\r\n Y at 601 in ESPKYGLMG with a score of 0.97\r\n\r\nNetphos predictions for protein 'SN23_HUMAN' (threshold score is 0.8):\r\n S at 5 in MDNLSSEEI with a score of 0.952\r\n S at 20 in ITDESLEST with a score of 0.981\r\n S at 23 in ESLESTRRI with a score of 0.988\r\n S at 95 in KNFESGKAY with a score of 0.982\r\n S at 136 in TGAASGGYI with a score of 0.921\r\n T at 69 in DMRETEKTL with a score of 0.978\r\n T at 72 in ETEKTLTEL with a score of 0.858\r\n T at 193 in DKADTNRDR with a score of 0.971\r\n\r\nNetphos predictions for protein 'SN29_HUMAN' (threshold score is 0.8):\r\n S at 59 in ATAASTSRS with a score of 0.924\r\n S at 70 in LMYESEKVG with a score of 0.831\r\n S at 77 in VGVASSEEL with a score of 0.994\r\n S at 78 in GVASSEELA with a score of 0.867\r\n S at 114 in NSIKSVFGG with a score of 0.85\r\n S at 153 in AISTSKEQE with a score of 0.912\r\n S at 182 in RGAGSAMST with a score of 0.905\r\n S at 250 in VNIKSTERK with a score of 0.931\r\n T at 60 in TAASTSRSL with a score of 0.927\r\n T at 130 in KPVETPPEQ with a score of 0.923\r\n T at 152 in EAISTSKEQ with a score of 0.976\r\n T at 225 in LGMQTEIEE with a score of 0.805\r\n T at 238 in LDRLTTKVD with a score of 0.949\r\n T at 239 in DRLTTKVDK with a score of 0.981\r\n T at 251 in NIKSTERKV with a score of 0.879\r\n Y at 160 in QEAKYQASH with a score of 0.836\r\n Y at 189 in STDAYPKNP with a score of 0.95\r\n\r\nNetphos predictions for protein 'SNAA_HUMAN' (threshold score is 0.8):\r\n S at 4 in -MDNSGKEA with a score of 0.967\r\n S at 24 in KVKNSQSFF with a score of 0.95\r\n S at 201 in LLKYSAKDY with a score of 0.994\r\n S at 238 in AFSDSRECK with a score of 0.9\r\n S at 258 in QNVDSYTES with a score of 0.991\r\n S at 262 in SYTESVKEY with a score of 0.994\r\n S at 268 in KEYDSISRL with a score of 0.981\r\n S at 270 in YDSISRLDQ with a score of 0.922\r\n Y at 45 in ACEIYARAA with a score of 0.957\r\n Y at 111 in AIEIYTDMG with a score of 0.956\r\n Y at 185 in AIDIYEQVG with a score of 0.944\r\n\r\nNetphos predictions for protein 'SNG2_HUMAN' (threshold score is 0.8):\r\n S at 144 in VGADSVRAA with a score of 0.927\r\n T at 22 in RRFLTQPQV with a score of 0.815\r\n T at 185 in YVDPTPDPN with a score of 0.818\r\n Y at 48 in YGEGYSNAH with a score of 0.94\r\n Y at 192 in PNTAYASYP with a score of 0.961\r\n Y at 203 in SVDNYQQPP with a score of 0.95\r\n Y at 218 in TTEGYQPPP with a score of 0.826\r\n\r\nNetphos predictions for protein 'SPCB_HUMAN' (threshold score is 0.8):\r\n S at 17 in QPPYSRINA with a score of 0.915\r\n S at 36 in NDNSSARLF with a score of 0.85\r\n S at 72 in LARVSCRIT with a score of 0.882\r\n S at 174 in RETRSAKDA with a score of 0.997\r\n S at 201 in NFTSSWKDG with a score of 0.998\r\n S at 345 in LQAFSTYRT with a score of 0.904\r\n S at 398 in RAWESLEEA with a score of 0.904\r\n S at 553 in AHLLSAEFG with a score of 0.934\r\n S at 613 in QDRMSHLEQ with a score of 0.998\r\n S at 636 in QLEQSKRLW with a score of 0.843\r\n S at 651 in DEAESWIKE with a score of 0.989\r\n S at 767 in HRLLSGEDV with a score of 0.996\r\n S at 816 in EFRDSPDVT with a score of 0.996\r\n S at 922 in GHPRSREVK with a score of 0.835\r\n S at 944 in QTLVSERRE with a score of 0.977\r\n S at 979 in KVVESTKDP with a score of 0.998\r\n S at 998 in QRKLSGLER with a score of 0.996\r\n S at 1018 in LERESQQLM with a score of 0.822\r\n S at 1024 in QLMDSHPEQ with a score of 0.967\r\n S at 1092 in DMPESLPEA with a score of 0.941\r\n S at 1199 in EPPDSLEAA with a score of 0.986\r\n S at 1216 in DFLGSMENN with a score of 0.954\r\n S at 1226 in DKVLSPVDS with a score of 0.998\r\n S at 1301 in SQDVSYDEA with a score of 0.997\r\n S at 1381 in AARSSDLRL with a score of 0.909\r\n S at 1444 in AQVPSMGEE with a score of 0.832\r\n S at 1455 in DADLSIEKR with a score of 0.928\r\n S at 1565 in HLQSSWDRL with a score of 0.975\r\n S at 1707 in EQWISEKEL with a score of 0.936\r\n S at 1715 in LVASSPEMG with a score of 0.993\r\n S at 1763 in DAGHSEAAT with a score of 0.886\r\n S at 1917 in RDLLSWMES with a score of 0.981\r\n S at 1936 in PRDVSSVEL with a score of 0.995\r\n S at 1977 in QHQASEEIR with a score of 0.984\r\n S at 2019 in SRDASVAEA with a score of 0.991\r\n S at 2043 in HTVDSVEKL with a score of 0.958\r\n S at 2060 in KSTASWAER with a score of 0.973\r\n S at 2105 in EAPVSHHAA with a score of 0.871\r\n S at 2114 in TERTSPVSL with a score of 0.991\r\n S at 2123 in WSRLSSSWE with a score of 0.938\r\n S at 2124 in SRLSSSWES with a score of 0.907\r\n S at 2125 in RLSSSWESL with a score of 0.988\r\n T at 300 in HAIETEKMI with a score of 0.804\r\n T at 500 in QKRITARKD with a score of 0.923\r\n T at 879 in EMPDTLEDL with a score of 0.851\r\n T at 966 in DCEETSKWI with a score of 0.839\r\n T at 1367 in ELQATTKEK with a score of 0.896\r\n T at 1531 in ILGHTPRVE with a score of 0.894\r\n T at 1839 in HRVHTAFER with a score of 0.848\r\n Y at 16 in NQPPYSRIN with a score of 0.901\r\n Y at 79 in ITDLYKDLR with a score of 0.836\r\n Y at 493 in EKENYHDQK with a score of 0.973\r\n Y at 660 in KEQIYSSLD with a score of 0.945\r\n Y at 1117 in HQDSYQRVK with a score of 0.912\r\n Y at 1136 in TDPEYLLLG with a score of 0.886\r\n Y at 1606 in EQELYVISD with a score of 0.976\r\n Y at 2031 in AQEPYLASG with a score of 0.812\r\n\r\nNetphos predictions for protein 'SPCO_HUMAN' (threshold score is 0.8):\r\n S at 19 in QQQYSDVNN with a score of 0.911\r\n S at 36 in NENSSARLF with a score of 0.875\r\n S at 72 in LARVSCRIT with a score of 0.882\r\n S at 96 in LEVLSGERL with a score of 0.941\r\n S at 163 in IQDISVETE with a score of 0.815\r\n S at 174 in KEKKSAKDA with a score of 0.997\r\n S at 201 in NFTTSWRDG with a score of 0.994\r\n S at 446 in QRLVSQDNF with a score of 0.865\r\n S at 662 in EKILSSDDY with a score of 0.984\r\n S at 672 in KDLTSVMRL with a score of 0.858\r\n S at 678 in MRLLSKHRA with a score of 0.96\r\n S at 688 in EDEMSGRSG with a score of 0.968\r\n S at 768 in LKIVSSSDV with a score of 0.927\r\n S at 770 in IVSSSDVGH with a score of 0.964\r\n S at 825 in RGRLSGIEE with a score of 0.997\r\n S at 856 in YKMFSEADA with a score of 0.939\r\n S at 893 in HRFESLEPE with a score of 0.883\r\n S at 918 in QLMHSGHPS with a score of 0.981\r\n S at 922 in SGHPSEKEI with a score of 0.991\r\n S at 938 in NTRWSQFRE with a score of 0.867\r\n S at 969 in NETKSWIRE with a score of 0.975\r\n S at 980 in KVIESTQDL with a score of 0.986\r\n S at 1057 in NREASLGEA with a score of 0.997\r\n S at 1237 in RRLVSDGNI with a score of 0.844\r\n S at 1252 in EKVDSIDDR with a score of 0.973\r\n S at 1302 in AQDMSYDEA with a score of 0.995\r\n S at 1325 in AELASNKEW with a score of 0.965\r\n S at 1452 in QEGKSTDEV with a score of 0.995\r\n S at 1458 in DEVDSKRLT with a score of 0.991\r\n S at 1559 in SSSLSAEAI with a score of 0.993\r\n S at 1652 in VHQLSKTSR with a score of 0.843\r\n S at 1662 in LVADSHPES with a score of 0.992\r\n S at 1666 in SHPESERIS with a score of 0.97\r\n S at 1670 in SERISMRQS with a score of 0.997\r\n S at 1674 in SMRQSKVDK with a score of 0.995\r\n S at 1771 in NSGHSDAAT with a score of 0.979\r\n S at 1804 in ILAASYELH with a score of 0.812\r\n S at 1918 in FRFFSMVRD with a score of 0.846\r\n S at 1944 in PRDVSSVEL with a score of 0.993\r\n S at 1985 in KHYASEEIK with a score of 0.985\r\n S at 2027 in SRDASVAEA with a score of 0.991\r\n S at 2041 in EPYLSSREI with a score of 0.968\r\n S at 2048 in EIGQSVDEV with a score of 0.952\r\n S at 2074 in DERFSALER with a score of 0.801\r\n S at 2102 in RRPPSPEPS with a score of 0.998\r\n S at 2106 in SPEPSTKVS with a score of 0.99\r\n S at 2110 in STKVSEEAE with a score of 0.989\r\n S at 2115 in EEAESQQQW with a score of 0.906\r\n S at 2122 in QWDTSKGEQ with a score of 0.986\r\n S at 2138 in AEQGSPRMA with a score of 0.992\r\n S at 2160 in EQRTSSKES with a score of 0.998\r\n S at 2161 in QRTSSKESS with a score of 0.997\r\n S at 2164 in SSKESSPIP with a score of 0.847\r\n S at 2165 in SKESSPIPS with a score of 0.995\r\n S at 2169 in SPIPSPTSD with a score of 0.979\r\n S at 2172 in PSPTSDRKA with a score of 0.995\r\n S at 2219 in KKASSRSWH with a score of 0.91\r\n S at 2221 in ASSRSWHNV with a score of 0.928\r\n S at 2256 in EVPVSLKEA with a score of 0.997\r\n S at 2304 in QAISSAISS with a score of 0.84\r\n S at 2307 in SSAISSDKH with a score of 0.985\r\n S at 2308 in SAISSDKHE with a score of 0.95\r\n S at 2323 in STPASSRAQ with a score of 0.932\r\n S at 2324 in TPASSRAQT with a score of 0.841\r\n S at 2341 in TSESSPGKR with a score of 0.991\r\n S at 2358 in EKRFSLFGK with a score of 0.989\r\n T at 461 in VEAATKKHE with a score of 0.852\r\n T at 500 in IKRITARKD with a score of 0.957\r\n T at 975 in IREKTKVIE with a score of 0.957\r\n T at 999 in QRKLTGMER with a score of 0.81\r\n T at 1050 in EMKTTLKNR with a score of 0.867\r\n T at 1093 in DMPNTLTEA with a score of 0.933\r\n T at 1757 in ERVDTVNHL with a score of 0.82\r\n T at 2080 in LERLTTLEL with a score of 0.814\r\n T at 2121 in QQWDTSKGE with a score of 0.937\r\n T at 2147 in ETVDTSEMV with a score of 0.868\r\n Y at 9 in VATDYDNIE with a score of 0.917\r\n Y at 79 in ITDLYTDLR with a score of 0.836\r\n Y at 190 in KTAGYPNVN with a score of 0.804\r\n Y at 307 in MIEKYESLA with a score of 0.884\r\n Y at 493 in EAENYHDIK with a score of 0.971\r\n Y at 666 in SSDDYGKDL with a score of 0.943\r\n Y at 831 in IEERYKEVA with a score of 0.981\r\n Y at 1118 in YEEDYQKMR with a score of 0.989\r\n Y at 1190 in NNQEYVLAH with a score of 0.803\r\n Y at 1408 in QSDDYGKHL with a score of 0.901\r\n Y at 1614 in EQELYMMSE with a score of 0.892\r\n Y at 1644 in AVEDYAETV with a score of 0.845\r\n Y at 2237 in EMGFYKDAK with a score of 0.942\r\n\r\nNetphos predictions for protein 'SPSY_HUMAN' (threshold score is 0.8):\r\n S at 7 in AARHSTLDF with a score of 0.994\r\n S at 57 in NKNGSFANL with a score of 0.879\r\n S at 101 in MKELSQDST with a score of 0.964\r\n S at 104 in LSQDSTGRV with a score of 0.935\r\n S at 145 in YDEDSPYQN with a score of 0.943\r\n S at 184 in AIMGSGKED with a score of 0.99\r\n S at 283 in AVPISTSPE with a score of 0.972\r\n S at 285 in PISTSPEED with a score of 0.997\r\n S at 290 in PEEDSTWEF with a score of 0.854\r\n S at 326 in TEALSLYEE with a score of 0.938\r\n T at 190 in KEDYTGKDV with a score of 0.847\r\n T at 236 in YMRKTCGDV with a score of 0.911\r\n T at 284 in VPISTSPEE with a score of 0.917\r\n Y at 147 in EDSPYQNIK with a score of 0.982\r\n Y at 189 in GKEDYTGKD with a score of 0.952\r\n Y at 272 in REFDYVIND with a score of 0.99\r\n\r\nNetphos predictions for protein 'SRPR_HUMAN' (threshold score is 0.8):\r\n S at 128 in AEESSKIRA with a score of 0.928\r\n S at 142 in KFEDSEKAK with a score of 0.994\r\n S at 151 in KPVRSMIET with a score of 0.997\r\n S at 167 in KAKNSKKKG with a score of 0.99\r\n S at 205 in GVELSKEEL with a score of 0.968\r\n S at 228 in GMEKSNKST with a score of 0.978\r\n S at 231 in KSNKSTKSD with a score of 0.996\r\n S at 296 in DLDCSSSDD with a score of 0.957\r\n S at 297 in LDCSSSDDE with a score of 0.938\r\n S at 298 in DCSSSDDEG with a score of 0.924\r\n S at 307 in AAQNSTKPS with a score of 0.947\r\n S at 332 in VGSKSLSRE with a score of 0.959\r\n S at 334 in SKSLSREDM with a score of 0.998\r\n S at 340 in EDMESVLDK with a score of 0.972\r\n S at 473 in TRRLSALHP with a score of 0.967\r\n T at 134 in IRAPTTMKK with a score of 0.838\r\n T at 135 in RAPTTMKKF with a score of 0.971\r\n T at 183 in GPLATSKPV with a score of 0.925\r\n T at 543 in ITVNTPDLV with a score of 0.955\r\n T at 578 in SMAQTPRLI with a score of 0.982\r\n T at 588 in GIVLTKFDT with a score of 0.81\r\n T at 619 in GTGQTYCDL with a score of 0.894\r\n Y at 494 in FEKGYGKDA with a score of 0.801\r\n\r\nNetphos predictions for protein 'ST13_HUMAN' (threshold score is 0.8):\r\n S at 51 in QKAKSEENT with a score of 0.998\r\n S at 62 in EKPDSKKVE with a score of 0.997\r\n S at 75 in ADEPSSEES with a score of 0.997\r\n S at 76 in DEPSSEESD with a score of 0.994\r\n S at 79 in SSEESDLEI with a score of 0.988\r\n S at 274 in ARRQSGAQY with a score of 0.959\r\n S at 362 in ISKLSAKFG with a score of 0.915\r\n T at 55 in SEENTKEEK with a score of 0.959\r\n Y at 213 in CKLDYDEDA with a score of 0.928\r\n Y at 348 in NMSKYQSNP with a score of 0.98\r\n\r\nNetphos predictions for protein 'STB1_HUMAN' (threshold score is 0.8):\r\n S at 37 in VDQLSMRML with a score of 0.826\r\n S at 83 in PSEKSVHSL with a score of 0.954\r\n S at 86 in KSVHSLISD with a score of 0.961\r\n S at 241 in FDPSSPVLH with a score of 0.894\r\n S at 300 in IAEVSQEVT with a score of 0.819\r\n S at 306 in EVTRSLKDF with a score of 0.994\r\n S at 313 in DFSSSKRMN with a score of 0.983\r\n S at 328 in MRDLSQMLK with a score of 0.96\r\n S at 342 in QKELSKYST with a score of 0.975\r\n S at 400 in DANVSTYDK with a score of 0.925\r\n S at 460 in LRRRSKPER with a score of 0.998\r\n S at 469 in KERISEQTY with a score of 0.949\r\n S at 507 in STRSSASFS with a score of 0.994\r\n S at 509 in RSSASFSTT with a score of 0.973\r\n S at 516 in TTAVSARYG with a score of 0.84\r\n S at 546 in LGGVSLNEM with a score of 0.818\r\n T at 318 in KRMNTGEKT with a score of 0.935\r\n T at 323 in GEKTTMRDL with a score of 0.936\r\n T at 455 in VTDSTLRRR with a score of 0.885\r\n T at 489 in IMEDTIEDK with a score of 0.959\r\n Y at 195 in YRGEYKDNA with a score of 0.965\r\n Y at 264 in ENDVYKYET with a score of 0.938\r\n Y at 473 in SEQTYQLSR with a score of 0.892\r\n\r\nNetphos predictions for protein 'STB2_HUMAN' (threshold score is 0.8):\r\n S at 21 in GVIRSVKKD with a score of 0.84\r\n S at 152 in DAPHSTYNL with a score of 0.885\r\n S at 218 in ADTPSLGEG with a score of 0.98\r\n S at 272 in TTGLSEARE with a score of 0.803\r\n S at 300 in IADVSKKVT with a score of 0.949\r\n S at 360 in HFKGSVEKL with a score of 0.968\r\n S at 385 in KIKDSMKLI with a score of 0.96\r\n S at 454 in NPGGSGTSS with a score of 0.982\r\n S at 458 in SGTSSRLEP with a score of 0.978\r\n S at 513 in QAAVSARFG with a score of 0.965\r\n S at 545 in GVAMSEMRA with a score of 0.874\r\n T at 129 in KVVKTLKEI with a score of 0.821\r\n T at 263 in IEQDTYRYE with a score of 0.825\r\n T at 317 in SKRLTTDKA with a score of 0.953\r\n T at 476 in LSRWTPVIK with a score of 0.819\r\n Y at 470 in MEPTYQLSR with a score of 0.858\r\n\r\nNetphos predictions for protein 'STB3_HUMAN' (threshold score is 0.8):\r\n S at 12 in RGLKSVVWQ with a score of 0.835\r\n S at 87 in PTSKSVDCF with a score of 0.851\r\n S at 97 in HDFASKSEN with a score of 0.905\r\n S at 129 in SCSKSIRRC with a score of 0.972\r\n S at 225 in IDEKSLIKG with a score of 0.908\r\n S at 313 in KEISSTKKA with a score of 0.988\r\n S at 323 in EGKTSLSAL with a score of 0.952\r\n S at 386 in KVKDSMRVL with a score of 0.901\r\n S at 464 in RKDRSAEET with a score of 0.997\r\n S at 492 in NRLDSKEWP with a score of 0.997\r\n S at 512 in SGAVSARQK with a score of 0.953\r\n S at 587 in KDKVSLIKD with a score of 0.938\r\n T at 568 in THVLTPKKL with a score of 0.957\r\n Y at 66 in VENIYKNRE with a score of 0.893\r\n Y at 103 in SENKYKAAY with a score of 0.982\r\n Y at 219 in LEDYYKIDE with a score of 0.838\r\n Y at 269 in ENDTYKYKT with a score of 0.979\r\n\r\nNetphos predictions for protein 'STK3_HUMAN' (threshold score is 0.8):\r\n S at 15 in LKKLSEDSL with a score of 0.899\r\n S at 18 in LSEDSLTKQ with a score of 0.927\r\n S at 106 in CGAGSVSDI with a score of 0.972\r\n S at 211 in LGITSIEMA with a score of 0.949\r\n S at 316 in EEENSDEDE with a score of 0.997\r\n S at 330 in MVKTSVGEC with a score of 0.983\r\n S at 341 in MRATSTMSE with a score of 0.993\r\n S at 344 in TSTMSEGAQ with a score of 0.917\r\n S at 369 in MVINSEDEE with a score of 0.985\r\n S at 385 in RNATSPQVQ with a score of 0.961\r\n S at 392 in VQRPSFMDY with a score of 0.991\r\n S at 406 in FKNKSHENC with a score of 0.802\r\n S at 444 in LKNLSLEEL with a score of 0.983\r\n T at 240 in NPPPTFRKP with a score of 0.83\r\n Y at 38 in GEGSYGSVF with a score of 0.816\r\n Y at 81 in CDSPYVVKY with a score of 0.961\r\n Y at 198 in QEIGYNCVA with a score of 0.909\r\n Y at 221 in GKPPYADIH with a score of 0.977\r\n\r\nNetphos predictions for protein 'STK4_HUMAN' (threshold score is 0.8):\r\n S at 21 in LDEDSLTKQ with a score of 0.827\r\n S at 109 in CGAGSVSDI with a score of 0.972\r\n S at 307 in KRQESQQRE with a score of 0.986\r\n S at 320 in DEENSEEDE with a score of 0.997\r\n S at 345 in VRVASTMTD with a score of 0.956\r\n S at 468 in QKYQSKRQP with a score of 0.99\r\n T at 243 in NPPPTFRKP with a score of 0.83\r\n T at 340 in DEMGTVRVA with a score of 0.973\r\n T at 380 in EEEGTMKRR with a score of 0.891\r\n Y at 41 in GEGSYGSVY with a score of 0.956\r\n Y at 201 in QEIGYNCVA with a score of 0.909\r\n Y at 224 in GKPPYADIH with a score of 0.977\r\n Y at 433 in QDGDYEFLK with a score of 0.94\r\n\r\nNetphos predictions for protein 'STOM_HUMAN' (threshold score is 0.8):\r\n S at 9 in HTRDSEAQR with a score of 0.97\r\n S at 17 in RLPDSFKDS with a score of 0.997\r\n S at 21 in SFKDSPSKG with a score of 0.992\r\n S at 23 in KDSPSKGLG with a score of 0.867\r\n S at 140 in TNADSATRL with a score of 0.909\r\n S at 160 in TKNLSQILS with a score of 0.856\r\n S at 164 in SQILSDREE with a score of 0.897\r\n T at 149 in LAQTTLRNV with a score of 0.945\r\n T at 176 in NMQSTLDDA with a score of 0.864\r\n\r\nNetphos predictions for protein 'STRN_HUMAN' (threshold score is 0.8):\r\n S at 134 in MKPPSYDSD with a score of 0.985\r\n S at 137 in PSYDSDEGN with a score of 0.994\r\n S at 204 in KNQDSVVNG with a score of 0.934\r\n S at 229 in TDSASVLDN with a score of 0.972\r\n S at 245 in AADFSDEDE with a score of 0.997\r\n S at 259 in GREKSVIDT with a score of 0.997\r\n S at 275 in ALPDSGEDR with a score of 0.997\r\n S at 301 in GDNESRSAG with a score of 0.867\r\n S at 303 in NESRSAGDG with a score of 0.997\r\n S at 373 in SLQPSVGSP with a score of 0.824\r\n S at 376 in PSVGSPSRP with a score of 0.953\r\n S at 381 in PSRPSSSRL with a score of 0.996\r\n S at 382 in SRPSSSRLP with a score of 0.995\r\n S at 405 in FPPSSGKSF with a score of 0.986\r\n S at 408 in SSGKSFIMG with a score of 0.924\r\n S at 461 in FTLRSHFDG with a score of 0.937\r\n S at 503 in KKSTSLDVE with a score of 0.917\r\n S at 555 in DPYDSYDPS with a score of 0.959\r\n S at 640 in KGYTSIFNM with a score of 0.885\r\n S at 655 in LTLESNVDT with a score of 0.952\r\n S at 672 in NRVISHPTL with a score of 0.879\r\n S at 754 in KFEESIHDV with a score of 0.979\r\n T at 194 in SIDVTDRED with a score of 0.8\r\n T at 281 in EDRDTKEAL with a score of 0.856\r\n Y at 171 in QEVGYTDTI with a score of 0.94\r\n Y at 510 in VEPIYTFRA with a score of 0.927\r\n Y at 720 in PNGLYLMSG with a score of 0.817\r\n\r\nNetphos predictions for protein 'STXB_HUMAN' (threshold score is 0.8):\r\n S at 28 in DEFDSPHED with a score of 0.994\r\n S at 75 in RFLTSMRRL with a score of 0.935\r\n S at 80 in MRRLSSIKR with a score of 0.996\r\n S at 81 in RRLSSIKRD with a score of 0.997\r\n S at 219 in LRLESRIRD with a score of 0.938\r\n\r\nNetphos predictions for protein 'SUPM_HUMAN' (threshold score is 0.8):\r\n S at 91 in PGEPSGLET with a score of 0.904\r\n S at 138 in DVAVSYYHF with a score of 0.837\r\n S at 171 in VSYGSWYQH with a score of 0.951\r\n S at 228 in VQHTSFKEM with a score of 0.991\r\n S at 253 in DHSISPFMR with a score of 0.857\r\n T at 7 in LIQDTSRPP with a score of 0.953\r\n T at 95 in SGLETLKDT with a score of 0.963\r\n Y at 76 in RAPIYVRVP with a score of 0.982\r\n Y at 240 in PMTNYTTVP with a score of 0.937\r\n Y at 280 in FDADYAEKM with a score of 0.912\r\n\r\nNetphos predictions for protein 'SYA_HUMAN' (threshold score is 0.8):\r\n S at 8 in TLTASEIRQ with a score of 0.971\r\n S at 105 in LGSWSFGDY with a score of 0.934\r\n S at 256 in QNKMSNYDT with a score of 0.994\r\n S at 356 in VVVQSLGDA with a score of 0.984\r\n S at 399 in RKIQSLGDS with a score of 0.992\r\n S at 484 in VTDDSPKYN with a score of 0.993\r\n S at 554 in KVDDSSEDK with a score of 0.997\r\n S at 555 in VDDSSEDKT with a score of 0.991\r\n S at 698 in VRVVSIGVP with a score of 0.912\r\n S at 731 in HLRNSSHAG with a score of 0.991\r\n S at 775 in KKCLSVMEA with a score of 0.969\r\n S at 821 in ETLKSLKKV with a score of 0.849\r\n S at 833 in LDRASKADV with a score of 0.986\r\n S at 867 in ESGASAKAL with a score of 0.915\r\n T at 318 in RPDNTGRGY with a score of 0.959\r\n T at 562 in KTEFTVKNA with a score of 0.851\r\n T at 639 in RFDFTAKGA with a score of 0.818\r\n T at 718 in AGSLTSVEF with a score of 0.834\r\n T at 818 in ELRETLKSL with a score of 0.935\r\n Y at 25 in NEHTYVHSS with a score of 0.951\r\n Y at 192 in SEIHYDRIG with a score of 0.981\r\n Y at 487 in DSPKYNYHL with a score of 0.828\r\n Y at 497 in SSGSYVFEN with a score of 0.935\r\n Y at 547 in YDEGYLVKV with a score of 0.855\r\n Y at 690 in FDETYPDPV with a score of 0.966\r\n\r\nNetphos predictions for protein 'SYW_HUMAN' (threshold score is 0.8):\r\n S at 8 in SEPASLLEL with a score of 0.87\r\n S at 32 in AGNASKDEI with a score of 0.98\r\n S at 49 in SLKMSYKAA with a score of 0.983\r\n S at 94 in VQTSSAKGI with a score of 0.99\r\n S at 109 in VRFGSSKID with a score of 0.98\r\n S at 110 in RFGSSKIDK with a score of 0.98\r\n S at 139 in GIFFSHRDM with a score of 0.871\r\n S at 165 in GRGPSSEAM with a score of 0.992\r\n S at 166 in RGPSSEAMH with a score of 0.891\r\n S at 288 in QAAPSFSNS with a score of 0.976\r\n S at 351 in QTKMSASDP with a score of 0.987\r\n S at 353 in KMSASDPNS with a score of 0.902\r\n S at 378 in KHAFSGGRD with a score of 0.949\r\n S at 422 in KDYTSGAML with a score of 0.855\r\n S at 467 in PRKLSFDFQ with a score of 0.971\r\n T at 92 in WTVQTSSAK with a score of 0.827\r\n T at 320 in YFRMTRDVA with a score of 0.966\r\n T at 348 in QGAQTKMSA with a score of 0.836\r\n T at 383 in GGRDTIEEH with a score of 0.978\r\n T at 462 in KEFMTPRKL with a score of 0.987\r\n Y at 58 in AGEDYKADC with a score of 0.802\r\n Y at 150 in VLDAYENKK with a score of 0.861\r\n Y at 157 in KKPFYLYTG with a score of 0.871\r\n Y at 201 in DDEKYLWKD with a score of 0.974\r\n Y at 240 in SDLDYMGMS with a score of 0.95\r\n Y at 248 in SSGFYKNVV with a score of 0.886\r\n Y at 316 in DQDPYFRMT with a score of 0.915\r\n\r\nNetphos predictions for protein 'SYY_HUMAN' (threshold score is 0.8):\r\n S at 6 in GDAPSPEEK with a score of 0.997\r\n S at 95 in ELRVSYYEN with a score of 0.996\r\n S at 126 in DYQLSKEYT with a score of 0.921\r\n S at 145 in TQHDSKKAG with a score of 0.89\r\n S at 224 in GSKMSSSEE with a score of 0.997\r\n S at 225 in SKMSSSEEE with a score of 0.997\r\n S at 226 in KMSSSEEES with a score of 0.997\r\n S at 230 in SEEESKIDL with a score of 0.995\r\n S at 312 in DLKNSVEVA with a score of 0.924\r\n S at 358 in PAKNSEPEE with a score of 0.944\r\n S at 366 in EVIPSRLDI with a score of 0.925\r\n S at 498 in DFKISEECI with a score of 0.935\r\n S at 518 in LGSISCKSL with a score of 0.946\r\n S at 521 in ISCKSLKGG with a score of 0.903\r\n T at 45 in GTATTGKPH with a score of 0.898\r\n Y at 176 in LDEEYLKVD with a score of 0.895\r\n Y at 292 in TYTAYVDLE with a score of 0.815\r\n Y at 388 in ADSLYVEKI with a score of 0.853\r\n\r\nNetphos predictions for protein 'SZ07_HUMAN' (threshold score is 0.8):\r\n S at 36 in ALASSTKGQ with a score of 0.995\r\n T at 41 in TKGQTKRNL with a score of 0.833\r\n T at 97 in EVIATLKDG with a score of 0.833\r\n Y at 58 in DSDLYAELR with a score of 0.953\r\n\r\nNetphos predictions for protein 'TAG2_HUMAN' (threshold score is 0.8):\r\n S at 155 in FPKKSKENP with a score of 0.946\r\n S at 185 in NRGASQAGM with a score of 0.982\r\n T at 36 in QWITTQCRK with a score of 0.856\r\n T at 107 in YGINTTDIF with a score of 0.809\r\n Y at 103 in AAERYGINT with a score of 0.804\r\n\r\nNetphos predictions for protein 'TAL1_HUMAN' (threshold score is 0.8):\r\n S at 13 in QRMESALDQ with a score of 0.997\r\n S at 75 in KLGGSQEDQ with a score of 0.998\r\n S at 104 in PGRVSTEVD with a score of 0.995\r\n S at 112 in DARLSFDKD with a score of 0.824\r\n S at 205 in TDKKSYEPL with a score of 0.991\r\n S at 228 in YKKFSYKTI with a score of 0.984\r\n S at 237 in VMGASFRNT with a score of 0.863\r\n T at 105 in GRVSTEVDA with a score of 0.975\r\n T at 201 in HVANTDKKS with a score of 0.847\r\n T at 327 in ERMLTERMF with a score of 0.983\r\n\r\nNetphos predictions for protein 'TBA1_HUMAN' (threshold score is 0.8):\r\n S at 158 in MERLSVDYG with a score of 0.948\r\n S at 165 in YGKKSKLEF with a score of 0.974\r\n S at 170 in KLEFSIYPA with a score of 0.86\r\n S at 287 in HEQLSVAEI with a score of 0.887\r\n S at 419 in EGEFSEARE with a score of 0.881\r\n S at 439 in VGVDSVEGE with a score of 0.971\r\n T at 82 in VRTGTYRQL with a score of 0.97\r\n Y at 224 in ERPTYTNLN with a score of 0.972\r\n Y at 432 in LEKDYEEVG with a score of 0.975\r\n Y at 451 in EGEEY---- with a score of 0.909\r\n\r\nNetphos predictions for protein 'TBB1_HUMAN' (threshold score is 0.8):\r\n S at 40 in YHGDSDLQL with a score of 0.88\r\n S at 48 in LDRISVYYN with a score of 0.934\r\n S at 75 in GTMDSVRSG with a score of 0.898\r\n S at 115 in ELVDSVLDV with a score of 0.884\r\n S at 126 in KEAESCDCL with a score of 0.839\r\n S at 172 in SVVPSPKVS with a score of 0.996\r\n S at 322 in RGRMSMKEV with a score of 0.998\r\n S at 420 in NDLVSEYQQ with a score of 0.902\r\n T at 274 in FAPLTSRGS with a score of 0.954\r\n T at 285 in YRALTVPDL with a score of 0.931\r\n Y at 106 in AKGHYTEGA with a score of 0.879\r\n Y at 200 in TDETYCIDN with a score of 0.878\r\n Y at 222 in TTPTYGDLN with a score of 0.897\r\n\r\nNetphos predictions for protein 'TBB2_HUMAN' (threshold score is 0.8):\r\n S at 40 in YHGDSDLQL with a score of 0.847\r\n S at 75 in GTMDSVRSG with a score of 0.898\r\n S at 115 in ELVDSVLDV with a score of 0.884\r\n S at 126 in KEAESCDCL with a score of 0.839\r\n S at 172 in SVVPSPKVS with a score of 0.996\r\n S at 322 in RGRMSMKEV with a score of 0.998\r\n S at 420 in NDLVSEYQQ with a score of 0.902\r\n T at 274 in FAPLTSRGS with a score of 0.954\r\n T at 285 in YRALTVPEL with a score of 0.966\r\n Y at 106 in AKGHYTEGA with a score of 0.879\r\n Y at 200 in TDETYCIDN with a score of 0.878\r\n Y at 222 in TTPTYGDLN with a score of 0.897\r\n\r\nNetphos predictions for protein 'TBB5_HUMAN' (threshold score is 0.8):\r\n S at 40 in YHGDSDLQL with a score of 0.88\r\n S at 48 in LDRISVYYN with a score of 0.934\r\n S at 75 in GTMDSVRSG with a score of 0.898\r\n S at 115 in ELVDSVLDV with a score of 0.884\r\n S at 126 in KEAESCDCL with a score of 0.839\r\n S at 172 in SVVPSPKVS with a score of 0.996\r\n S at 322 in RGRMSMKEV with a score of 0.998\r\n S at 420 in NDLVSEYQQ with a score of 0.902\r\n T at 274 in FAPLTSRGS with a score of 0.954\r\n T at 285 in YRALTVPEL with a score of 0.966\r\n Y at 106 in AKGHYTEGA with a score of 0.879\r\n Y at 200 in TDETYCIDN with a score of 0.878\r\n Y at 222 in TTPTYGDLN with a score of 0.897\r\n\r\nNetphos predictions for protein 'TBBX_HUMAN' (threshold score is 0.8):\r\n S at 40 in YHGDSDLQL with a score of 0.847\r\n S at 75 in GTMDSVRSG with a score of 0.898\r\n S at 126 in KEAESCDCL with a score of 0.839\r\n S at 172 in SVVPSPKVS with a score of 0.996\r\n S at 322 in RGRMSMKEV with a score of 0.998\r\n S at 420 in NDLVSEYQQ with a score of 0.902\r\n T at 274 in FAPLTSRGS with a score of 0.954\r\n T at 285 in YRGLTVPEL with a score of 0.942\r\n Y at 106 in AKGHYTEGA with a score of 0.879\r\n Y at 200 in TDETYCIDN with a score of 0.878\r\n Y at 222 in TTPTYGDLN with a score of 0.897\r\n\r\nNetphos predictions for protein 'TCPA_HUMAN' (threshold score is 0.8):\r\n S at 6 in EGPLSVFGD with a score of 0.942\r\n S at 12 in FGDRSTGET with a score of 0.968\r\n S at 116 in IHPTSVISG with a score of 0.962\r\n S at 119 in TSVISGYRL with a score of 0.9\r\n S at 157 in KTSMSSKII with a score of 0.875\r\n S at 204 in AHGRSQMES with a score of 0.969\r\n S at 268 in RQRESDITK with a score of 0.985\r\n S at 372 in KARTSASII with a score of 0.984\r\n S at 391 in EMERSLHDA with a score of 0.972\r\n S at 432 in TSMGSREQL with a score of 0.896\r\n S at 513 in VKVKSLKFA with a score of 0.991\r\n S at 537 in LHPESKDDK with a score of 0.992\r\n S at 544 in DKHGSYEDA with a score of 0.997\r\n Y at 131 in EAVRYINEN with a score of 0.86\r\n\r\nNetphos predictions for protein 'TCPB_HUMAN' (threshold score is 0.8):\r\n S at 28 in ARLTSFIGA with a score of 0.96\r\n S at 55 in ILLSSGRDA with a score of 0.996\r\n S at 208 in KLGGSLADS with a score of 0.964\r\n S at 212 in SLADSYLDE with a score of 0.992\r\n S at 260 in VRVDSTAKV with a score of 0.899\r\n S at 333 in GEIASTFDH with a score of 0.941\r\n S at 389 in EAERSLHDA with a score of 0.988\r\n S at 470 in RAAHSEGNT with a score of 0.97\r\n S at 506 in QVLLSAAEA with a score of 0.959\r\n T at 23 in ERAETARLT with a score of 0.987\r\n T at 134 in WREATKAAR with a score of 0.807\r\n T at 261 in RVDSTAKVA with a score of 0.846\r\n T at 400 in VLAQTVKDS with a score of 0.949\r\n T at 484 in MREGTIGDM with a score of 0.886\r\n Y at 213 in LADSYLDEG with a score of 0.858\r\n Y at 439 in AMESYAKAL with a score of 0.915\r\n Y at 456 in DNAGYDSAD with a score of 0.914\r\n\r\nNetphos predictions for protein 'TCPD_HUMAN' (threshold score is 0.8):\r\n S at 36 in QIRFSNISA with a score of 0.943\r\n S at 158 in PVELSDRET with a score of 0.996\r\n S at 177 in SKVVSQYSS with a score of 0.87\r\n S at 381 in TGCASPGKT with a score of 0.977\r\n S at 393 in VVRGSNKLV with a score of 0.885\r\n S at 404 in EAERSIHDA with a score of 0.986\r\n S at 444 in SRTLSGMES with a score of 0.994\r\n T at 201 in PATATSVDL with a score of 0.895\r\n T at 476 in NPISTVTEL with a score of 0.826\r\n Y at 24 in GKGAYQDRD with a score of 0.819\r\n Y at 269 in VVSDYAQMD with a score of 0.829\r\n Y at 282 in EERAYILNL with a score of 0.841\r\n\r\nNetphos predictions for protein 'TCPE_HUMAN' (threshold score is 0.8):\r\n S at 26 in QDRKSRLMG with a score of 0.992\r\n S at 79 in ATILSMMDV with a score of 0.831\r\n S at 97 in ELSKSQDDE with a score of 0.991\r\n S at 270 in LDVTSVEDY with a score of 0.998\r\n S at 346 in VPRFSELTA with a score of 0.978\r\n S at 401 in EAKRSLHDA with a score of 0.99\r\n S at 434 in ALAVSQEAD with a score of 0.869\r\n S at 539 in KPGESEE-- with a score of 0.988\r\n T at 168 in PLIQTAKTT with a score of 0.849\r\n T at 366 in ISFGTTKDK with a score of 0.95\r\n T at 473 in NPIQTMTEV with a score of 0.935\r\n Y at 137 in IADGYEQAA with a score of 0.945\r\n Y at 274 in SVEDYKALQ with a score of 0.929\r\n\r\nNetphos predictions for protein 'TCPG_HUMAN' (threshold score is 0.8):\r\n S at 17 in TKRESGRKV with a score of 0.982\r\n S at 78 in PAAKSMIEI with a score of 0.876\r\n S at 146 in PVDISDSDM with a score of 0.985\r\n S at 165 in TKAISRWSS with a score of 0.903\r\n S at 242 in VLLDSSLEY with a score of 0.88\r\n S at 251 in KKGESQTDI with a score of 0.997\r\n S at 332 in ARIVSRPEE with a score of 0.963\r\n S at 379 in LRGASKEIL with a score of 0.838\r\n T at 13 in LSQNTKRES with a score of 0.98\r\n T at 135 in DMISTLKKI with a score of 0.87\r\n T at 458 in CGASTIRLL with a score of 0.844\r\n T at 507 in QTYKTAVET with a score of 0.825\r\n Y at 273 in MEEEYIQQL with a score of 0.961\r\n\r\nNetphos predictions for protein 'TCPH_HUMAN' (threshold score is 0.8):\r\n S at 388 in ETERSLHDA with a score of 0.986\r\n S at 525 in KNPRSTVDA with a score of 0.997\r\n T at 332 in GSIQTSVNA with a score of 0.889\r\n T at 385 in FMEETERSL with a score of 0.957\r\n T at 526 in NPRSTVDAP with a score of 0.924\r\n\r\nNetphos predictions for protein 'TCPQ_HUMAN' (threshold score is 0.8):\r\n S at 162 in DEVSSLLRT with a score of 0.879\r\n S at 194 in IFPDSGHFN with a score of 0.878\r\n S at 233 in GDVTSVKDA with a score of 0.998\r\n S at 317 in VRLNSKWDL with a score of 0.983\r\n S at 353 in SVYLSEVGD with a score of 0.831\r\n S at 380 in VLRGSTDNL with a score of 0.972\r\n S at 425 in KQITSYGET with a score of 0.99\r\n S at 537 in PKPPSGKKD with a score of 0.977\r\n T at 42 in ELAQTTRTA with a score of 0.903\r\n T at 337 in LPRLTPPVL with a score of 0.953\r\n T at 398 in DGVNTFKVL with a score of 0.948\r\n Y at 30 in EEAVYRNIQ with a score of 0.928\r\n\r\nNetphos predictions for protein 'TD54_HUMAN' (threshold score is 0.8):\r\n S at 19 in KGLLSDSMT with a score of 0.933\r\n S at 21 in LLSDSMTDV with a score of 0.987\r\n S at 94 in KQNLSRSWH with a score of 0.854\r\n S at 96 in NLSRSWHDV with a score of 0.971\r\n S at 110 in YVKTSEKLG with a score of 0.991\r\n S at 134 in QETLSQAGQ with a score of 0.97\r\n S at 145 in SAALSTVGS with a score of 0.973\r\n S at 152 in GSAISRKLG with a score of 0.931\r\n S at 166 in ATFKSFEDR with a score of 0.988\r\n S at 192 in NLPSSAGSG with a score of 0.982\r\n S at 195 in SSAGSGDKP with a score of 0.868\r\n S at 201 in DKPLSDPAP with a score of 0.902\r\n T at 29 in VPVDTGVAA with a score of 0.846\r\n T at 35 in VAARTPAVE with a score of 0.864\r\n T at 54 in RAELTKVEE with a score of 0.988\r\n T at 62 in EEIVTLRQV with a score of 0.86\r\n T at 173 in DRVGTIKSK with a score of 0.988\r\n Y at 126 in QSDLYKKTQ with a score of 0.859\r\n\r\nNetphos predictions for protein 'TDBP_HUMAN' (threshold score is 0.8):\r\n S at 20 in IEIPSEDDG with a score of 0.981\r\n S at 144 in KTGHSKGFG with a score of 0.807\r\n S at 183 in NSKQSQDEP with a score of 0.992\r\n S at 190 in EPLRSRKVF with a score of 0.932\r\n S at 273 in QLERSGRFG with a score of 0.979\r\n S at 375 in NNSYSGSNS with a score of 0.832\r\n S at 407 in SSMDSKSSG with a score of 0.896\r\n S at 409 in MDSKSSGWG with a score of 0.912\r\n T at 8 in YIRVTEDEN with a score of 0.931\r\n T at 153 in FVRFTEYET with a score of 0.963\r\n T at 199 in VGRCTEDMT with a score of 0.933\r\n Y at 4 in -MSEYIRVT with a score of 0.957\r\n\r\nNetphos predictions for protein 'TERA_HUMAN' (threshold score is 0.8):\r\n S at 7 in SGADSKGDD with a score of 0.997\r\n S at 37 in NEDNSVVSL with a score of 0.917\r\n S at 40 in NSVVSLSQP with a score of 0.951\r\n S at 78 in DDTCSDEKI with a score of 0.899\r\n S at 171 in ETDPSPYCI with a score of 0.946\r\n S at 282 in LAGESESNL with a score of 0.939\r\n S at 352 in NRPNSIDPA with a score of 0.993\r\n S at 457 in RWALSQSNP with a score of 0.822\r\n S at 462 in QSNPSALRE with a score of 0.869\r\n S at 612 in MDGMSTKKN with a score of 0.984\r\n S at 664 in NLRKSPVAK with a score of 0.996\r\n S at 683 in TNGFSGADL with a score of 0.901\r\n S at 702 in AIRESIESE with a score of 0.976\r\n S at 705 in ESIESEIRR with a score of 0.977\r\n S at 718 in QTNPSAMEV with a score of 0.974\r\n S at 746 in FARRSVSDN with a score of 0.998\r\n S at 748 in RRSVSDNDI with a score of 0.997\r\n S at 787 in PSQGSGGGT with a score of 0.863\r\n T at 316 in KREKTHGEV with a score of 0.984\r\n T at 375 in IPDATGRLE with a score of 0.858\r\n T at 467 in ALRETVVEV with a score of 0.932\r\n T at 613 in DGMSTKKNV with a score of 0.952\r\n T at 715 in RERQTNPSA with a score of 0.867\r\n Y at 173 in DPSPYCIVA with a score of 0.808\r\n Y at 203 in NEVGYDDIG with a score of 0.988\r\n Y at 805 in DDDLYG--- with a score of 0.922\r\n\r\nNetphos predictions for protein 'TGF1_HUMAN' (threshold score is 0.8):\r\n S at 61 in LRLASPPSQ with a score of 0.979\r\n S at 64 in ASPPSQGEV with a score of 0.943\r\n S at 83 in ALYNSTRDR with a score of 0.958\r\n S at 92 in VAGESAEPE with a score of 0.984\r\n S at 130 in QSTHSIYMF with a score of 0.978\r\n S at 178 in YSNNSWRYL with a score of 0.968\r\n S at 192 in APSDSPEWL with a score of 0.986\r\n S at 220 in GFRLSAHCS with a score of 0.92\r\n T at 241 in NGFTTGRRG with a score of 0.942\r\n Y at 103 in PEADYYAKE with a score of 0.803\r\n Y at 104 in EADYYAKEV with a score of 0.825\r\n Y at 121 in HNEIYDKFK with a score of 0.886\r\n\r\nNetphos predictions for protein 'THAS_HUMAN' (threshold score is 0.8):\r\n S at 37 in TSAFSRLEK with a score of 0.974\r\n S at 113 in NRMASGLEF with a score of 0.995\r\n S at 119 in LEFKSVADS with a score of 0.974\r\n S at 123 in SVADSVLFL with a score of 0.912\r\n S at 144 in MSAFSPEKL with a score of 0.958\r\n S at 201 in TPVDSWQAP with a score of 0.879\r\n S at 288 in DARHSASPM with a score of 0.92\r\n S at 320 in QHQPSPMAR with a score of 0.985\r\n T at 197 in VAFGTPVDS with a score of 0.971\r\n T at 327 in ARPLTVDEI with a score of 0.863\r\n Y at 392 in EGLPYLDMV with a score of 0.821\r\n\r\nNetphos predictions for protein 'THTR_HUMAN' (threshold score is 0.8):\r\n S at 11 in RALVSTKWL with a score of 0.835\r\n S at 18 in WLAESIRTG with a score of 0.839\r\n S at 34 in VLDASWYSP with a score of 0.963\r\n S at 68 in RDTASPYEM with a score of 0.954\r\n S at 124 in HRTVSVLNG with a score of 0.92\r\n S at 145 in TSEPSRPEP with a score of 0.932\r\n S at 181 in QLVDSRSQG with a score of 0.953\r\n S at 274 in VYDGSWSEW with a score of 0.815\r\n S at 286 in APPESRVSQ with a score of 0.88\r\n S at 289 in ESRVSQGKS with a score of 0.997\r\n S at 293 in SQGKSEKA- with a score of 0.922\r\n T at 234 in ALFQTKKVD with a score of 0.873\r\n\r\nNetphos predictions for protein 'TI47_HUMAN' (threshold score is 0.8):\r\n S at 24 in VQQPSVVDR with a score of 0.969\r\n S at 37 in PLISSTCDM with a score of 0.927\r\n S at 48 in AAYASTKES with a score of 0.996\r\n S at 126 in KELVSSKVS with a score of 0.989\r\n S at 138 in EMVSSAKDT with a score of 0.996\r\n S at 160 in GAVQSGVDK with a score of 0.845\r\n S at 187 in QMVLSGVDT with a score of 0.99\r\n S at 196 in VLGKSEEWA with a score of 0.996\r\n S at 241 in VRLGSLSER with a score of 0.965\r\n S at 277 in SQALSLMET with a score of 0.967\r\n S at 378 in SSIHSFQDL with a score of 0.974\r\n S at 390 in ILAQSRERV with a score of 0.925\r\n S at 396 in ERVASAREA with a score of 0.997\r\n T at 58 in PHVKTVCDA with a score of 0.903\r\n T at 328 in SRALTMFRD with a score of 0.845\r\n Y at 53 in TKESYPHVK with a score of 0.855\r\n Y at 95 in SASEYAHRG with a score of 0.889\r\n\r\nNetphos predictions for protein 'TLN1_HUMAN' (threshold score is 0.8):\r\n S at 52 in GLFLSDDDP with a score of 0.866\r\n S at 105 in MVDDSKTVT with a score of 0.984\r\n S at 231 in SHPVSFDKA with a score of 0.821\r\n S at 290 in CGQMSEIEA with a score of 0.971\r\n S at 362 in RWAASPKSF with a score of 0.993\r\n S at 423 in MLEDSVSPK with a score of 0.902\r\n S at 425 in EDSVSPKKS with a score of 0.995\r\n S at 458 in RSGASGPEN with a score of 0.987\r\n S at 539 in KMDESKHEI with a score of 0.917\r\n S at 545 in HEIHSQVDA with a score of 0.993\r\n S at 658 in QIGESDTDP with a score of 0.979\r\n S at 712 in QCALSTSQL with a score of 0.969\r\n S at 815 in NIFSSMGDA with a score of 0.973\r\n S at 848 in AEGESDLEN with a score of 0.912\r\n S at 883 in AHPDSEEQQ with a score of 0.983\r\n S at 927 in QAAASATQT with a score of 0.927\r\n S at 945 in TPKASAGPQ with a score of 0.898\r\n S at 979 in AQPDSPSAQ with a score of 0.936\r\n S at 1055 in DSALSVVQN with a score of 0.911\r\n S at 1100 in KAVSSAIAQ with a score of 0.873\r\n S at 1164 in DKASSLIEE with a score of 0.98\r\n S at 1225 in KRLLSDSLP with a score of 0.977\r\n S at 1271 in LARASGRFG with a score of 0.984\r\n S at 1294 in GQAPSQEDR with a score of 0.993\r\n S at 1513 in CRLASARTT with a score of 0.811\r\n S at 1528 in QFVQSAKEV with a score of 0.989\r\n S at 1535 in EVANSTANL with a score of 0.815\r\n S at 1589 in PAQISPEGR with a score of 0.977\r\n S at 1629 in RDPPSWSVL with a score of 0.907\r\n S at 1643 in TVSDSIKKL with a score of 0.994\r\n S at 1650 in KLITSMRDK with a score of 0.995\r\n S at 1694 in REGISQEAL with a score of 0.936\r\n S at 1878 in KSNTSPEEL with a score of 0.998\r\n S at 1940 in ALQCSPSDA with a score of 0.986\r\n S at 1958 in ARRVSEKVS with a score of 0.997\r\n S at 2040 in NAAGSQEKL with a score of 0.894\r\n S at 2068 in LGAASLGAE with a score of 0.856\r\n S at 2170 in PAKTSTPED with a score of 0.962\r\n S at 2262 in LQKPSPELK with a score of 0.944\r\n S at 2279 in RVAGSVTEL with a score of 0.988\r\n T at 144 in EITGTLRKD with a score of 0.931\r\n T at 179 in DHGRTLREQ with a score of 0.899\r\n T at 382 in YSVQTTEGE with a score of 0.904\r\n T at 941 in HAASTPKAS with a score of 0.986\r\n T at 1142 in VAALTSDPA with a score of 0.945\r\n T at 1263 in ASRGTPQDL with a score of 0.954\r\n T at 1372 in RELETVREL with a score of 0.971\r\n T at 1813 in DLTTTLNEA with a score of 0.84\r\n T at 1856 in DYQTTMVRT with a score of 0.852\r\n T at 1946 in SDAYTKKEL with a score of 0.912\r\n T at 2169 in PPAKTSTPE with a score of 0.897\r\n T at 2171 in AKTSTPEDF with a score of 0.871\r\n Y at 298 in AKVRYVKLA with a score of 0.9\r\n Y at 373 in DFGDYQDGY with a score of 0.914\r\n Y at 377 in YQDGYYSVQ with a score of 0.936\r\n Y at 570 in AETDYTAVG with a score of 0.989\r\n Y at 1116 in GNENYAGIA with a score of 0.9\r\n Y at 1945 in PSDAYTKKE with a score of 0.851\r\n\r\nNetphos predictions for protein 'TLN2_HUMAN' (threshold score is 0.8):\r\n S at 54 in GLFLSDEDP with a score of 0.987\r\n S at 233 in SHPVSFEKA with a score of 0.989\r\n S at 293 in CGEMSEIEA with a score of 0.951\r\n S at 339 in ITKDSVMRV with a score of 0.878\r\n S at 365 in RWAASPKSF with a score of 0.993\r\n S at 426 in MLEESVSPK with a score of 0.837\r\n S at 428 in EESVSPKKS with a score of 0.995\r\n S at 461 in RSGSSGPET with a score of 0.995\r\n S at 517 in QDDLSELDS with a score of 0.993\r\n S at 542 in KVDESKHEI with a score of 0.981\r\n S at 548 in HEIHSQVDA with a score of 0.993\r\n S at 607 in DEVGSGEDL with a score of 0.996\r\n S at 633 in VQPTSGEPR with a score of 0.834\r\n S at 715 in QCALSTSQL with a score of 0.969\r\n S at 732 in PTISSPVCQ with a score of 0.863\r\n S at 749 in LVDRSVENC with a score of 0.979\r\n S at 818 in SIFSSMGDA with a score of 0.97\r\n S at 845 in NAMRSDAEA with a score of 0.873\r\n S at 944 in NAAVSNKNP with a score of 0.948\r\n S at 1005 in KMVSSAKAA with a score of 0.973\r\n S at 1032 in NLATSLAEL with a score of 0.987\r\n S at 1040 in LRTASQKAH with a score of 0.996\r\n S at 1143 in GVAASTTDP with a score of 0.994\r\n S at 1217 in VALKSIGES with a score of 0.981\r\n S at 1221 in SIGESSKKL with a score of 0.97\r\n S at 1222 in IGESSKKLL with a score of 0.899\r\n S at 1233 in SLPPSTKPF with a score of 0.972\r\n S at 1242 in QEAQSELNQ with a score of 0.824\r\n S at 1266 in TRGQSGELA with a score of 0.981\r\n S at 1273 in LAAASGKFS with a score of 0.985\r\n S at 1277 in SGKFSDDFD with a score of 0.89\r\n S at 1390 in VSDLSYFDC with a score of 0.972\r\n S at 1456 in SDPNSQAGH with a score of 0.807\r\n S at 1530 in HFVQSAKEV with a score of 0.979\r\n S at 1537 in EVANSTANL with a score of 0.815\r\n S at 1591 in PAQISSEGS with a score of 0.887\r\n S at 1645 in TVSDSIKSL with a score of 0.923\r\n S at 1652 in SLITSIRDK with a score of 0.992\r\n S at 1696 in RDDISVEAL with a score of 0.986\r\n S at 1837 in AEAMSKLDE with a score of 0.989\r\n S at 2040 in SGAASTPDK with a score of 0.96\r\n S at 2069 in LGAASLGSD with a score of 0.895\r\n S at 2104 in KGAASKPVD with a score of 0.966\r\n S at 2111 in VDDPSMYQL with a score of 0.885\r\n S at 2171 in PEKTSSPEE with a score of 0.893\r\n S at 2172 in EKTSSPEES with a score of 0.998\r\n S at 2176 in SPEESIRMT with a score of 0.993\r\n S at 2214 in RKAVSDMLT with a score of 0.877\r\n T at 146 in EGTGTLKKD with a score of 0.963\r\n T at 358 in WPLTTVKRW with a score of 0.868\r\n T at 385 in YSVQTTEGE with a score of 0.904\r\n T at 421 in DEESTMLEE with a score of 0.826\r\n T at 571 in DPADTDYTA with a score of 0.807\r\n T at 639 in EPRQTVLTA with a score of 0.862\r\n T at 1061 in NTVQTLKNE with a score of 0.972\r\n T at 1144 in VAASTTDPA with a score of 0.911\r\n T at 1843 in LDEGTPPEP with a score of 0.868\r\n T at 1959 in ARAVTEKVS with a score of 0.949\r\n T at 2041 in GAASTPDKL with a score of 0.96\r\n T at 2170 in VPEKTSSPE with a score of 0.939\r\n Y at 301 in AKVKYVKLA with a score of 0.96\r\n Y at 380 in YQESYYSVQ with a score of 0.885\r\n Y at 573 in ADTDYTAVG with a score of 0.982\r\n Y at 1118 in GNEHYTGVA with a score of 0.917\r\n Y at 1665 in RECDYSIDG with a score of 0.954\r\n\r\nNetphos predictions for protein 'TNIK_HUMAN' (threshold score is 0.8):\r\n S at 5 in MASDSPARS with a score of 0.875\r\n S at 9 in SPARSLDEI with a score of 0.993\r\n S at 77 in LKKYSHHRN with a score of 0.943\r\n S at 112 in CGAGSVTDL with a score of 0.974\r\n S at 142 in LRGLSHLHQ with a score of 0.817\r\n S at 255 in PRLKSKKWS with a score of 0.997\r\n S at 259 in SKKWSKKFQ with a score of 0.994\r\n S at 264 in KKFQSFIES with a score of 0.97\r\n S at 275 in VKNHSQRPA with a score of 0.959\r\n S at 324 in EYEYSGSEE with a score of 0.974\r\n S at 326 in EYSGSEEEE with a score of 0.99\r\n S at 335 in EENDSGEPS with a score of 0.99\r\n S at 526 in KEGMSPSEK with a score of 0.996\r\n S at 548 in NRQSSPAMP with a score of 0.984\r\n S at 570 in PRSESFSIS with a score of 0.8\r\n S at 610 in TASQSVHEQ with a score of 0.971\r\n S at 640 in PRQNSDPTS with a score of 0.943\r\n S at 660 in FDRSSWLRQ with a score of 0.996\r\n S at 678 in QRTTSISPA with a score of 0.983\r\n S at 680 in TTSISPALA with a score of 0.869\r\n S at 688 in ARKNSPGNG with a score of 0.992\r\n S at 707 in PIRASNPDL with a score of 0.976\r\n S at 726 in LQRTSSGSS with a score of 0.981\r\n S at 727 in QRTSSGSSS with a score of 0.984\r\n S at 729 in TSSGSSSSS with a score of 0.984\r\n S at 730 in SSGSSSSSS with a score of 0.992\r\n S at 731 in SGSSSSSST with a score of 0.991\r\n S at 733 in SSSSSSTPS with a score of 0.974\r\n S at 734 in SSSSSTPSS with a score of 0.953\r\n S at 738 in STPSSQPSS with a score of 0.868\r\n S at 741 in SSQPSSQGG with a score of 0.812\r\n S at 742 in SQPSSQGGS with a score of 0.955\r\n S at 754 in SQAGSSERT with a score of 0.996\r\n S at 755 in QAGSSERTR with a score of 0.907\r\n S at 764 in VRANSKSEG with a score of 0.998\r\n S at 766 in ANSKSEGSP with a score of 0.949\r\n S at 769 in KSEGSPVLP with a score of 0.824\r\n S at 791 in ITRPSRPAS with a score of 0.959\r\n S at 795 in SRPASYKKA with a score of 0.997\r\n S at 830 in VTDYSSSSE with a score of 0.931\r\n S at 831 in TDYSSSSEE with a score of 0.981\r\n S at 832 in DYSSSSEES with a score of 0.997\r\n S at 833 in YSSSSEESE with a score of 0.995\r\n S at 836 in SSEESESSE with a score of 0.992\r\n S at 838 in EESESSEEE with a score of 0.998\r\n S at 839 in ESESSEEEE with a score of 0.998\r\n S at 892 in SHADSFSGS with a score of 0.988\r\n S at 896 in SFSGSISRE with a score of 0.891\r\n S at 898 in SGSISREGT with a score of 0.99\r\n S at 909 in IRETSGEKK with a score of 0.995\r\n S at 915 in EKKRSGHSD with a score of 0.977\r\n S at 918 in RSGHSDSNG with a score of 0.995\r\n S at 938 in QQSHSPAGT with a score of 0.987\r\n S at 951 in LGRVSTHSQ with a score of 0.994\r\n S at 954 in VSTHSQEMD with a score of 0.996\r\n S at 959 in QEMDSGTEY with a score of 0.99\r\n S at 985 in VYQTSPTDE with a score of 0.997\r\n S at 1034 in IRPHSDTPE with a score of 0.98\r\n S at 1356 in LNRNSMMNW with a score of 0.923\r\n T at 124 in TKGNTLKEE with a score of 0.94\r\n T at 187 in GRRNTFIGT with a score of 0.962\r\n T at 349 in PGESTLRRD with a score of 0.985\r\n T at 677 in PQRTTSISP with a score of 0.805\r\n T at 908 in MIRETSGEK with a score of 0.926\r\n T at 942 in SPAGTPTEG with a score of 0.972\r\n T at 952 in GRVSTHSQE with a score of 0.832\r\n T at 1272 in YGRITKDVV with a score of 0.973\r\n Y at 321 in DETEYEYSG with a score of 0.99\r\n Y at 446 in HEQEYIRRQ with a score of 0.88\r\n Y at 519 in KKPLYHYKE with a score of 0.84\r\n Y at 1264 in DEGVYVNTY with a score of 0.989\r\n\r\nNetphos predictions for protein 'TPCS_HUMAN' (threshold score is 0.8):\r\n S at 12 in RSYLSEEMI with a score of 0.986\r\n S at 35 in GGDISVKEL with a score of 0.991\r\n S at 91 in AKGKSEEEL with a score of 0.997\r\n S at 122 in IFRASGEHV with a score of 0.965\r\n Y at 109 in NADGYIDPE with a score of 0.983\r\n\r\nNetphos predictions for protein 'TPIS_HUMAN' (threshold score is 0.8):\r\n S at 20 in GRKQSLGEL with a score of 0.954\r\n S at 79 in TGEISPGMI with a score of 0.932\r\n S at 96 in VLGHSERRH with a score of 0.987\r\n S at 222 in KELASQPDV with a score of 0.885\r\n T at 37 in VPADTEVVC with a score of 0.848\r\n T at 139 in EAGITEKVV with a score of 0.863\r\n T at 147 in VFEQTKVIA with a score of 0.909\r\n T at 172 in WAIGTGKTA with a score of 0.83\r\n T at 216 in VTGATCKEL with a score of 0.892\r\n Y at 47 in PPTAYIDFA with a score of 0.937\r\n\r\nNetphos predictions for protein 'TPM1_HUMAN' (threshold score is 0.8):\r\n S at 123 in AADESERGM with a score of 0.975\r\n S at 206 in NNLKSLEAQ with a score of 0.985\r\n S at 215 in AEKYSQKED with a score of 0.995\r\n S at 229 in IKVLSDKLK with a score of 0.881\r\n S at 252 in KLEKSIDDL with a score of 0.997\r\n S at 271 in YKAISEELD with a score of 0.982\r\n Y at 60 in ELDKYSEAL with a score of 0.881\r\n Y at 162 in ADRKYEEVA with a score of 0.962\r\n Y at 214 in QAEKYSQKE with a score of 0.844\r\n Y at 221 in KEDRYEEEI with a score of 0.97\r\n Y at 261 in EDELYAQKL with a score of 0.978\r\n\r\nNetphos predictions for protein 'TPM2_HUMAN' (threshold score is 0.8):\r\n S at 63 in KYSESVKEA with a score of 0.993\r\n S at 123 in AADESERGM with a score of 0.975\r\n S at 179 in ELERSEERA with a score of 0.995\r\n S at 188 in EVAESKCGD with a score of 0.87\r\n S at 206 in NNLKSLEAQ with a score of 0.985\r\n S at 215 in ADKYSTKED with a score of 0.995\r\n S at 271 in YKAISEELD with a score of 0.931\r\n Y at 60 in EVEKYSESV with a score of 0.868\r\n Y at 162 in SDRKYEEVA with a score of 0.984\r\n Y at 214 in QADKYSTKE with a score of 0.842\r\n Y at 221 in KEDKYEEEI with a score of 0.983\r\n Y at 261 in EDEVYAQKM with a score of 0.964\r\n\r\nNetphos predictions for protein 'TPM3_HUMAN' (threshold score is 0.8):\r\n S at 123 in AADESERGM with a score of 0.975\r\n S at 191 in ESKCSELEE with a score of 0.963\r\n S at 206 in NNLKSLEAQ with a score of 0.985\r\n S at 215 in AEKYSQKED with a score of 0.995\r\n S at 271 in YKAISEELD with a score of 0.982\r\n Y at 60 in ELDKYSEAL with a score of 0.881\r\n Y at 162 in ADRKYEEVA with a score of 0.962\r\n Y at 214 in QAEKYSQKE with a score of 0.844\r\n Y at 221 in KEDKYEEEI with a score of 0.983\r\n Y at 261 in EDELYAQKL with a score of 0.978\r\n\r\nNetphos predictions for protein 'TPM4_HUMAN' (threshold score is 0.8):\r\n S at 87 in AADESERGM with a score of 0.975\r\n S at 170 in NNLKSLEAA with a score of 0.982\r\n S at 175 in LEAASEKYS with a score of 0.992\r\n S at 179 in SEKYSEKED with a score of 0.997\r\n Y at 126 in ADRKYEEVA with a score of 0.962\r\n Y at 178 in ASEKYSEKE with a score of 0.913\r\n Y at 185 in KEDKYEEEI with a score of 0.983\r\n\r\nNetphos predictions for protein 'TPS2_HUMAN' (threshold score is 0.8):\r\n S at 116 in AWSKSGREK with a score of 0.923\r\n S at 166 in TLKSSVYLS with a score of 0.803\r\n S at 188 in DGRASVHSM with a score of 0.992\r\n S at 191 in ASVHSMITR with a score of 0.876\r\n S at 206 in FDLSSYRDC with a score of 0.975\r\n S at 248 in HPRRSLKLI with a score of 0.947\r\n S at 280 in GVSLSKIER with a score of 0.905\r\n T at 194 in HSMITRKVT with a score of 0.862\r\n Y at 328 in GYDPYANPP with a score of 0.957\r\n Y at 334 in NPPNYGNPD with a score of 0.91\r\n Y at 353 in LKGDYKTPA with a score of 0.91\r\n\r\nNetphos predictions for protein 'TPSN_HUMAN' (threshold score is 0.8):\r\n S at 34 in VEDASGKGL with a score of 0.983\r\n S at 67 in ELYLSVHDP with a score of 0.991\r\n S at 102 in PLPASAKWA with a score of 0.822\r\n S at 193 in SEAASSLAP with a score of 0.813\r\n S at 340 in PGGRSQKAE with a score of 0.962\r\n S at 350 in QRWLSALRH with a score of 0.837\r\n S at 361 in DGSVSLSGH with a score of 0.901\r\n S at 363 in SVSLSGHLQ with a score of 0.801\r\n S at 392 in SLPASGRSA with a score of 0.99\r\n S at 395 in ASGRSAEVT with a score of 0.96\r\n S at 409 in LSGPSLEDS with a score of 0.997\r\n S at 443 in TCKDSKKKA with a score of 0.995\r\n Y at 65 in DPELYLSVH with a score of 0.879\r\n\r\nNetphos predictions for protein 'TS22_HUMAN' (threshold score is 0.8):\r\n S at 43 in LDNSSSGAS with a score of 0.902\r\n S at 47 in SSGASVVAI with a score of 0.961\r\n S at 89 in IEKNSQLEQ with a score of 0.937\r\n S at 103 in KTLASPEQL with a score of 0.949\r\n S at 137 in AQPASQGSG with a score of 0.805\r\n\r\nNetphos predictions for protein 'TSP1_HUMAN' (threshold score is 0.8):\r\n S at 24 in RIPESGGDN with a score of 0.99\r\n S at 29 in GGDNSVFDI with a score of 0.973\r\n S at 44 in ARKGSGRRL with a score of 0.994\r\n S at 142 in QHVVSVEEA with a score of 0.997\r\n S at 193 in RDLASIARL with a score of 0.85\r\n S at 233 in NKGCSSSTS with a score of 0.821\r\n S at 297 in TLQDSIRKV with a score of 0.925\r\n S at 394 in SCSTSCGNG with a score of 0.941\r\n S at 499 in WGPWSPWDI with a score of 0.913\r\n S at 564 in VKCTSYPDG with a score of 0.991\r\n S at 569 in YPDGSWKCG with a score of 0.994\r\n S at 724 in NLPNSGQED with a score of 0.96\r\n S at 847 in DQLDSDSDR with a score of 0.973\r\n S at 849 in LDSDSDRIG with a score of 0.85\r\n S at 921 in DQKDSDGDG with a score of 0.997\r\n S at 938 in FDHDSVPDI with a score of 0.979\r\n S at 953 in NVDISETDF with a score of 0.995\r\n S at 971 in PKGTSQNDP with a score of 0.969\r\n S at 1046 in QVTQSYWDT with a score of 0.959\r\n S at 1113 in RWRLSHRPK with a score of 0.963\r\n T at 84 in DAVRTEKGF with a score of 0.962\r\n T at 222 in VFGTTPEDI with a score of 0.849\r\n T at 389 in WSEWTSCST with a score of 0.951\r\n T at 824 in DQRDTDMDG with a score of 0.886\r\n T at 1016 in FFINTERDD with a score of 0.979\r\n T at 1086 in HTGNTPGQV with a score of 0.923\r\n Y at 579 in CPPGYSGNG with a score of 0.893\r\n Y at 615 in TDPGYNCLP with a score of 0.924\r\n Y at 682 in CKPGYAGNG with a score of 0.982\r\n Y at 729 in GQEDYDKDG with a score of 0.86\r\n Y at 815 in DNCQYVYNV with a score of 0.822\r\n Y at 876 in DNCPYVPNA with a score of 0.931\r\n Y at 1022 in RDDDYAGFV with a score of 0.964\r\n Y at 1139 in SGPIYDKTY with a score of 0.917\r\n Y at 1165 in SDLKYECRD with a score of 0.963\r\n\r\nNetphos predictions for protein 'TYB0_HUMAN' (threshold score is 0.8):\r\n S at 40 in QEKRSEIS- with a score of 0.882\r\n\r\nNetphos predictions for protein 'TYB4_HUMAN' (threshold score is 0.8):\r\n S at 30 in NPLPSKETI with a score of 0.976\r\n\r\nNetphos predictions for protein 'UBCN_HUMAN' (threshold score is 0.8):\r\n S at 45 in GPQDSPFEG with a score of 0.986\r\n\r\nNetphos predictions for protein 'UBPE_HUMAN' (threshold score is 0.8):\r\n S at 142 in ALRASGEMA with a score of 0.994\r\n S at 161 in DLFDSMDKT with a score of 0.807\r\n S at 221 in IEDDSVKET with a score of 0.998\r\n S at 227 in KETDSSSAS with a score of 0.829\r\n S at 229 in TDSSSASAA with a score of 0.862\r\n S at 236 in AATPSKKKS with a score of 0.944\r\n S at 240 in SKKKSLIDQ with a score of 0.997\r\n S at 259 in KCTESEEEE with a score of 0.996\r\n S at 301 in ITKQSPTLQ with a score of 0.814\r\n S at 388 in QPNTSDKKS with a score of 0.982\r\n S at 392 in SDKKSSPQK with a score of 0.97\r\n S at 393 in DKKSSPQKE with a score of 0.99\r\n S at 404 in YEPFSFADD with a score of 0.988\r\n S at 429 in HQGRSSSSG with a score of 0.922\r\n S at 430 in QGRSSSSGH with a score of 0.985\r\n S at 466 in ILRLSGGGD with a score of 0.926\r\n T at 51 in VKGGTLKDD with a score of 0.909\r\n T at 253 in EFETTMKCT with a score of 0.966\r\n Y at 114 in GNTCYMNAT with a score of 0.836\r\n Y at 284 in QEVKYLFTG with a score of 0.94\r\n Y at 400 in KEVKYEPFS with a score of 0.925\r\n Y at 435 in SSGHYVSWV with a score of 0.912\r\n\r\nNetphos predictions for protein 'UCR1_HUMAN' (threshold score is 0.8):\r\n S at 23 in RARRSPALL with a score of 0.926\r\n S at 51 in ETQVSLLDN with a score of 0.915\r\n S at 107 in NRPGSALEK with a score of 0.995\r\n S at 115 in KEVESMGAH with a score of 0.907\r\n S at 124 in LNAYSTREH with a score of 0.858\r\n S at 155 in VQNCSLEDS with a score of 0.984\r\n S at 159 in SLEDSQIEK with a score of 0.951\r\n S at 178 in ENDASMRDV with a score of 0.985\r\n S at 212 in VRKLSRADL with a score of 0.993\r\n S at 382 in RLCTSATES with a score of 0.974\r\n S at 401 in NALVSHLDG with a score of 0.986\r\n S at 439 in EVDASVVRE with a score of 0.873\r\n T at 83 in SRFETEKNN with a score of 0.933\r\n T at 266 in VPTLTPCRF with a score of 0.98\r\n Y at 450 in SKYIYDQCP with a score of 0.836\r\n\r\nNetphos predictions for protein 'VAA1_HUMAN' (threshold score is 0.8):\r\n S at 74 in TSGVSVGDP with a score of 0.996\r\n S at 87 in GKPLSVELG with a score of 0.993\r\n S at 107 in QRPLSDISS with a score of 0.995\r\n S at 160 in VSENSLIKH with a score of 0.911\r\n S at 264 in SQSLSKYSN with a score of 0.966\r\n S at 267 in LSKYSNSDV with a score of 0.938\r\n S at 326 in AREASIYTG with a score of 0.801\r\n S at 350 in MMADSTSRW with a score of 0.89\r\n S at 362 in LREISGRLA with a score of 0.953\r\n S at 372 in MPADSGYPA with a score of 0.831\r\n S at 384 in ARLASFYER with a score of 0.965\r\n S at 405 in EGSVSIVGA with a score of 0.928\r\n S at 411 in VGAVSPPGG with a score of 0.992\r\n S at 500 in VGKASLAET with a score of 0.944\r\n S at 583 in YKLSSMKFK with a score of 0.951\r\n S at 614 in NAFRSLED- with a score of 0.967\r\n T at 136 in KWDFTPCKN with a score of 0.854\r\n T at 218 in VRPVTEKLP with a score of 0.908\r\n T at 351 in MADSTSRWA with a score of 0.949\r\n Y at 266 in SLSKYSNSD with a score of 0.914\r\n Y at 535 in FCPFYKTVG with a score of 0.933\r\n Y at 601 in IKSDYAQLL with a score of 0.86\r\n\r\nNetphos predictions for protein 'VAPA_HUMAN' (threshold score is 0.8):\r\n S at 36 in LRNPSDRKV with a score of 0.971\r\n S at 100 in PPNTSDMEA with a score of 0.949\r\n S at 146 in PLNASKQDG with a score of 0.841\r\n S at 157 in PKPHSVSLN with a score of 0.981\r\n S at 159 in PHSVSLNDT with a score of 0.995\r\n S at 202 in KVAHSDKPG with a score of 0.997\r\n S at 207 in DKPGSTSTA with a score of 0.955\r\n S at 212 in TSTASFRDN with a score of 0.996\r\n\r\nNetphos predictions for protein 'VAPB_HUMAN' (threshold score is 0.8):\r\n S at 100 in PTDTSDMEA with a score of 0.974\r\n S at 142 in NKIISTTAS with a score of 0.935\r\n S at 146 in STTASKTET with a score of 0.995\r\n S at 156 in IVSKSLSSS with a score of 0.848\r\n S at 158 in SKSLSSSLD with a score of 0.844\r\n S at 159 in KSLSSSLDD with a score of 0.99\r\n S at 160 in SLSSSLDDT with a score of 0.997\r\n S at 206 in VQSNSPISA with a score of 0.984\r\n S at 221 in EEGLSTRLL with a score of 0.845\r\n T at 99 in APTDTSDME with a score of 0.907\r\n\r\nNetphos predictions for protein 'VINC_HUMAN' (threshold score is 0.8):\r\n S at 10 in RTIESILEP with a score of 0.902\r\n S at 237 in VEKMSAEIN with a score of 0.991\r\n S at 251 in LQLTSWDED with a score of 0.809\r\n S at 287 in LRDPSASPG with a score of 0.887\r\n S at 289 in DPSASPGDA with a score of 0.998\r\n S at 433 in DILRSLGEI with a score of 0.85\r\n S at 455 in GKGDSPEAR with a score of 0.973\r\n S at 578 in QLQDSLKDL with a score of 0.998\r\n S at 655 in TANKSTVEG with a score of 0.982\r\n S at 663 in GIQASVKTA with a score of 0.872\r\n S at 720 in IDTKSLLDA with a score of 0.945\r\n S at 725 in LLDASEEAI with a score of 0.975\r\n S at 786 in VKAASDELS with a score of 0.986\r\n S at 815 in GLQKSFLDS with a score of 0.822\r\n S at 819 in SFLDSGYRI with a score of 0.927\r\n S at 912 in ARKWSSKPG with a score of 0.985\r\n S at 980 in ATKWSSKGN with a score of 0.952\r\n S at 1025 in IAKASDEVT with a score of 0.985\r\n S at 1079 in RTNISDEES with a score of 0.996\r\n S at 1083 in SDEESEQAT with a score of 0.978\r\n S at 1100 in NLMQSVKET with a score of 0.995\r\n T at 63 in ETVQTTEDQ with a score of 0.828\r\n T at 196 in NSMNTVKEL with a score of 0.973\r\n T at 441 in ISALTSKLA with a score of 0.937\r\n T at 666 in ASVKTAREL with a score of 0.944\r\n T at 671 in ARELTPQVV with a score of 0.971\r\n T at 977 in HREATKWSS with a score of 0.92\r\n T at 1010 in GGSGTKRAL with a score of 0.807\r\n T at 1104 in SVKETVREA with a score of 0.967\r\n T at 1122 in DAGFTLRWV with a score of 0.911\r\n Y at 99 in QSDPYSVPA with a score of 0.922\r\n Y at 948 in MEDDYEPEL with a score of 0.973\r\n\r\nNetphos predictions for protein 'VIS3_HUMAN' (threshold score is 0.8):\r\n S at 92 in LSVTSRGKL with a score of 0.804\r\n S at 105 in KWAFSMYDL with a score of 0.992\r\n S at 116 in NGYISRSEM with a score of 0.976\r\n S at 142 in PEDESTPEK with a score of 0.982\r\n S at 164 in DGKLSLEEF with a score of 0.986\r\n S at 174 in RGAKSDPSI with a score of 0.911\r\n S at 177 in KSDPSIVRL with a score of 0.939\r\n T at 19 in LRENTEFTD with a score of 0.818\r\n T at 43 in TGHLTVDEF with a score of 0.908\r\n T at 143 in EDESTPEKR with a score of 0.844\r\n\r\nNetphos predictions for protein 'VU3_HSV6U' (threshold score is 0.8):\r\n S at 32 in AELQSRERT with a score of 0.975\r\n S at 46 in VYNESKRDL with a score of 0.993\r\n S at 202 in DGVRSCRDV with a score of 0.926\r\n S at 270 in EGRISLYVA with a score of 0.988\r\n T at 166 in RVGDTIDDF with a score of 0.939\r\n Y at 96 in DENEYADEK with a score of 0.986\r\n Y at 132 in SEPCYWFSK with a score of 0.969\r\n\r\nNetphos predictions for protein 'VWF_HUMAN' (threshold score is 0.8):\r\n S at 30 in TRGRSSTAR with a score of 0.954\r\n S at 31 in RGRSSTARC with a score of 0.991\r\n S at 36 in TARCSLFGS with a score of 0.924\r\n S at 71 in KRSFSIIGD with a score of 0.984\r\n S at 85 in RVSLSVYLG with a score of 0.944\r\n S at 110 in DQRVSMPYA with a score of 0.877\r\n S at 204 in CERASPPSS with a score of 0.945\r\n S at 207 in ASPPSSSCN with a score of 0.97\r\n S at 208 in SPPSSSCNI with a score of 0.888\r\n S at 214 in CNISSGEMQ with a score of 0.853\r\n S at 292 in HSACSPVCP with a score of 0.882\r\n S at 345 in LCVESTECP with a score of 0.874\r\n S at 353 in PCVHSGKRY with a score of 0.913\r\n S at 493 in SVRLSYGED with a score of 0.997\r\n S at 580 in MTRFSEEAC with a score of 0.994\r\n S at 600 in HRAVSPLPY with a score of 0.843\r\n S at 614 in YDVCSCSDG with a score of 0.991\r\n S at 673 in CRSLSYPDE with a score of 0.998\r\n S at 755 in AVLSSPLSH with a score of 0.825\r\n S at 758 in SSPLSHRSK with a score of 0.987\r\n S at 761 in LSHRSKRSL with a score of 0.81\r\n S at 766 in KRSLSCRPP with a score of 0.993\r\n S at 918 in CSHPSVKCK with a score of 0.946\r\n S at 1024 in DFGNSWKVS with a score of 0.911\r\n S at 1093 in CSCESIGDC with a score of 0.955\r\n S at 1129 in LCPQSCEER with a score of 0.9\r\n S at 1208 in RRFASGKKV with a score of 0.964\r\n S at 1253 in DAPVSPTTL with a score of 0.973\r\n S at 1289 in SSRLSEAEF with a score of 0.997\r\n S at 1310 in RLRISQKWV with a score of 0.995\r\n S at 1338 in RKRPSELRR with a score of 0.988\r\n S at 1356 in SQVASTSEV with a score of 0.897\r\n S at 1441 in AFVLSSVDE with a score of 0.938\r\n S at 1442 in FVLSSVDEL with a score of 0.907\r\n S at 1494 in PKRNSMVLD with a score of 0.934\r\n S at 1517 in DFNRSKEFM with a score of 0.951\r\n S at 1534 in VGQDSIHVT with a score of 0.902\r\n S at 1557 in SEAQSKGDI with a score of 0.994\r\n S at 1586 in LRYLSDHSF with a score of 0.839\r\n S at 1593 in SFLVSQGDR with a score of 0.925\r\n S at 1613 in GNPASDEIK with a score of 0.851\r\n S at 1705 in SFPASYFDE with a score of 0.991\r\n S at 1768 in EGGPSQIGD with a score of 0.934\r\n S at 1807 in VSVDSVDAA with a score of 0.911\r\n S at 1817 in DAARSNRVT with a score of 0.91\r\n S at 1926 in GLRPSCPNS with a score of 0.822\r\n S at 2013 in HSALSVELH with a score of 0.99\r\n S at 2018 in VELHSDMEV with a score of 0.941\r\n S at 2073 in QLQLSPKTF with a score of 0.987\r\n S at 2226 in GNVSSCGDH with a score of 0.947\r\n S at 2371 in CKRVSPPSC with a score of 0.983\r\n S at 2374 in VSPPSCPPH with a score of 0.946\r\n S at 2469 in VAQCSQKPC with a score of 0.837\r\n S at 2505 in VVTGSPRGD with a score of 0.97\r\n S at 2510 in PRGDSQSSW with a score of 0.992\r\n S at 2513 in DSQSSWKSV with a score of 0.991\r\n S at 2523 in SQWASPENP with a score of 0.988\r\n S at 2738 in VKVGSCKSE with a score of 0.914\r\n T at 32 in GRSSTARCS with a score of 0.855\r\n T at 181 in EGTLTSDPY with a score of 0.863\r\n T at 577 in NPRMTRFSE with a score of 0.929\r\n T at 1034 in QCADTRKVP with a score of 0.838\r\n T at 1064 in CRILTSDVF with a score of 0.96\r\n T at 1124 in WRTATLCPQ with a score of 0.9\r\n T at 1256 in VSPTTLYVE with a score of 0.834\r\n T at 1728 in GPRLTQVSV with a score of 0.96\r\n T at 1740 in GSITTIDVP with a score of 0.853\r\n T at 2382 in HRLPTLRKT with a score of 0.985\r\n T at 2436 in VHRSTIYPV with a score of 0.957\r\n T at 2622 in ECRKTTCNP with a score of 0.829\r\n T at 2660 in GQIMTLKRD with a score of 0.866\r\n T at 2691 in EKRVTGCPP with a score of 0.836\r\n Y at 119 in SKGLYLETE with a score of 0.901\r\n Y at 134 in SGEAYGFVA with a score of 0.948\r\n Y at 185 in TSDPYDFAN with a score of 0.871\r\n Y at 891 in GECQYVLVQ with a score of 0.836\r\n Y at 1080 in DPEPYLDVC with a score of 0.957\r\n Y at 1140 in RENGYECEW with a score of 0.942\r\n Y at 1146 in CEWRYNSCA with a score of 0.838\r\n Y at 2323 in CCPEYECVC with a score of 0.979\r\n Y at 2392 in CCDEYECAC with a score of 0.976\r\n Y at 2733 in ARLQYVKVG with a score of 0.827\r\n\r\nNetphos predictions for protein 'Y056_HUMAN' (threshold score is 0.8):\r\n S at 50 in PLDPSIEAE with a score of 0.84\r\n S at 177 in EQPKSSQAN with a score of 0.882\r\n S at 214 in NICFSARDL with a score of 0.979\r\n S at 219 in ARDLSQIRN with a score of 0.992\r\n S at 240 in LPKFSLKEK with a score of 0.98\r\n S at 377 in VVDKSEYRT with a score of 0.996\r\n S at 413 in YSRSSKIPH with a score of 0.997\r\n S at 475 in SKALSSFAH with a score of 0.974\r\n S at 487 in LTVTSASES with a score of 0.935\r\n S at 489 in VTSASESIL with a score of 0.891\r\n S at 491 in SASESILEL with a score of 0.976\r\n S at 503 in SPTFSVIES with a score of 0.952\r\n S at 516 in LLRNSSAFS with a score of 0.884\r\n S at 520 in SSAFSYQRQ with a score of 0.946\r\n S at 526 in QRQTSNRSE with a score of 0.994\r\n S at 529 in TSNRSEPSG with a score of 0.845\r\n S at 539 in INIDSSGET with a score of 0.932\r\n S at 540 in NIDSSGETV with a score of 0.847\r\n S at 546 in ETVGSGERC with a score of 0.917\r\n S at 569 in NVRKSALQV with a score of 0.956\r\n S at 584 in HCDVSGMKE with a score of 0.82\r\n S at 603 in DPAVSVRKQ with a score of 0.993\r\n S at 611 in QALQSLTEL with a score of 0.856\r\n S at 668 in SHFHSGDDS with a score of 0.949\r\n S at 702 in FHIWSKKEK with a score of 0.821\r\n S at 708 in KEKFSPTFI with a score of 0.951\r\n S at 717 in NNVISHTGT with a score of 0.951\r\n S at 737 in KIAGSSPRL with a score of 0.885\r\n S at 738 in IAGSSPRLD with a score of 0.946\r\n S at 781 in HLPKSTRDK with a score of 0.997\r\n S at 818 in LCRASAETP with a score of 0.987\r\n S at 838 in GDVLSTCEH with a score of 0.872\r\n S at 894 in SVLASSADA with a score of 0.958\r\n S at 901 in DADHSPSSQ with a score of 0.991\r\n S at 904 in HSPSSQGSS with a score of 0.993\r\n S at 907 in SSQGSSEAP with a score of 0.984\r\n S at 922 in QVRGSVMPS with a score of 0.989\r\n S at 926 in SVMPSVIRA with a score of 0.874\r\n S at 1037 in TLIDSHPDI with a score of 0.96\r\n S at 1087 in KFPQSEREK with a score of 0.993\r\n S at 1095 in KRLFSLKGK with a score of 0.991\r\n S at 1100 in LKGKSNKER with a score of 0.996\r\n S at 1159 in FEVLSSKEI with a score of 0.996\r\n S at 1259 in KQLASELEY with a score of 0.943\r\n S at 1318 in NPAMSPAVS with a score of 0.807\r\n S at 1322 in SPAVSQPCT with a score of 0.97\r\n S at 1357 in ARPMSLSTI with a score of 0.96\r\n S at 1366 in AILNSVKKA with a score of 0.89\r\n S at 1373 in KAVESKSRH with a score of 0.993\r\n S at 1375 in VESKSRHRS with a score of 0.993\r\n S at 1379 in SRHRSRSLG with a score of 0.981\r\n S at 1381 in HRSRSLGVL with a score of 0.988\r\n S at 1393 in LNSGSPEKT with a score of 0.995\r\n S at 1402 in CSQVSSYSL with a score of 0.973\r\n S at 1405 in VSSYSLEQE with a score of 0.863\r\n S at 1410 in LEQESNGEI with a score of 0.981\r\n S at 1423 in KRAISTPEK with a score of 0.997\r\n S at 1428 in TPEKSISDV with a score of 0.989\r\n S at 1448 in PRTPSSAKE with a score of 0.958\r\n S at 1449 in RTPSSAKEK with a score of 0.996\r\n S at 1458 in IEGRSQGND with a score of 0.939\r\n S at 1494 in TPACSRRSL with a score of 0.923\r\n S at 1497 in CSRRSLRKT with a score of 0.996\r\n T at 35 in EWVDTVWEL with a score of 0.935\r\n T at 155 in KCIQTLKKS with a score of 0.94\r\n T at 421 in HRVFTLDVV with a score of 0.947\r\n T at 468 in DKAPTVRSK with a score of 0.829\r\n T at 525 in YQRQTSNRS with a score of 0.905\r\n T at 821 in ASAETPAEE with a score of 0.95\r\n T at 1326 in SQPCTPRAS with a score of 0.881\r\n T at 1424 in RAISTPEKS with a score of 0.957\r\n T at 1443 in SYIGTPRTP with a score of 0.954\r\n T at 1501 in SLRKTPLKT with a score of 0.944\r\n Y at 379 in DKSEYRTFA with a score of 0.848\r\n Y at 1081 in KHEKYNKFP with a score of 0.827\r\n Y at 1263 in SELEYDMKK with a score of 0.972\r\n\r\nNetphos predictions for protein 'Y152_HUMAN' (threshold score is 0.8):\r\n S at 80 in VGRASDYGM with a score of 0.995\r\n S at 162 in RVGHSTAHD with a score of 0.844\r\n S at 172 in IIPMSIRKG with a score of 0.955\r\n S at 179 in KGKLSVQGE with a score of 0.957\r\n S at 256 in NRVQSGPRT with a score of 0.995\r\n T at 214 in IMAGTVDDV with a score of 0.931\r\n Y at 121 in EEGDYVLVL with a score of 0.988\r\n Y at 200 in VKGYYDNPK with a score of 0.895\r\n Y at 239 in EEEEYDEGS with a score of 0.988\r\n\r\nNetphos predictions for protein 'Y513_HUMAN' (threshold score is 0.8):\r\n S at 22 in APTSSPLEA with a score of 0.975\r\n S at 37 in DGDGSLGDG with a score of 0.976\r\n S at 43 in GDGASESET with a score of 0.959\r\n S at 53 in ESADSENDM with a score of 0.997\r\n S at 65 in PSHPSWDQD with a score of 0.894\r\n S at 72 in QDRRSSSNE with a score of 0.996\r\n S at 73 in DRRSSSNES with a score of 0.998\r\n S at 74 in RRSSSNESF with a score of 0.994\r\n S at 77 in SSNESFSSN with a score of 0.895\r\n S at 79 in NESFSSNQS with a score of 0.802\r\n S at 83 in SSNQSTEST with a score of 0.989\r\n S at 86 in QSTESTQDE with a score of 0.993\r\n S at 108 in EKIFSGGED with a score of 0.911\r\n S at 126 in GEYCSSENG with a score of 0.855\r\n S at 147 in QRCNSKCVS with a score of 0.952\r\n S at 201 in LPPESREKP with a score of 0.901\r\n S at 218 in KSANSWLAE with a score of 0.834\r\n S at 279 in VTAYSPEDE with a score of 0.998\r\n S at 351 in ERDDSLRFN with a score of 0.996\r\n T at 3 in --METPEVP with a score of 0.823\r\n T at 87 in STESTQDEE with a score of 0.976\r\n T at 276 in PRAVTAYSP with a score of 0.815\r\n T at 320 in HCERTKRSP with a score of 0.925\r\n T at 325 in KRSPTTRGD with a score of 0.96\r\n T at 326 in RSPTTRGDA with a score of 0.871\r\n T at 344 in WCHMTQEER with a score of 0.842\r\n Y at 212 in SIDSYLKSA with a score of 0.863\r\n Y at 398 in DEEQYKLLS with a score of 0.951\r\n\r\nNetphos predictions for protein 'ZO2_HUMAN' (threshold score is 0.8):\r\n S at 40 in LQKDSKRGF with a score of 0.967\r\n S at 108 in QLRKSGKVA with a score of 0.996\r\n S at 153 in RSFRSGYSE with a score of 0.937\r\n S at 156 in RSGYSERSR with a score of 0.822\r\n S at 163 in SRLNSHGGR with a score of 0.983\r\n S at 168 in HGGRSRSWE with a score of 0.978\r\n S at 170 in GRSRSWEDS with a score of 0.998\r\n S at 174 in SWEDSPERG with a score of 0.998\r\n S at 186 in ERARSRERD with a score of 0.996\r\n S at 192 in ERDLSRDRS with a score of 0.997\r\n S at 196 in SRDRSRGRS with a score of 0.993\r\n S at 200 in SRGRSLERG with a score of 0.997\r\n S at 216 in TRDRSRGRS with a score of 0.997\r\n S at 220 in SRGRSLERG with a score of 0.997\r\n S at 240 in DRDRSRGRS with a score of 0.997\r\n S at 244 in SRGRSIDQD with a score of 0.991\r\n S at 266 in ERAYSPEYR with a score of 0.995\r\n S at 279 in HDARSRGPR with a score of 0.916\r\n S at 284 in RGPRSRSRE with a score of 0.989\r\n S at 286 in PRSRSREHP with a score of 0.994\r\n S at 292 in EHPHSRSPS with a score of 0.995\r\n S at 294 in PHSRSPSPE with a score of 0.904\r\n S at 296 in SRSPSPEPR with a score of 0.994\r\n S at 362 in TENMSLTDA with a score of 0.992\r\n S at 398 in SLNDSDSEI with a score of 0.993\r\n S at 400 in NDSDSEIED with a score of 0.991\r\n S at 406 in IEDISEIES with a score of 0.92\r\n S at 413 in ESNRSFSPE with a score of 0.97\r\n S at 415 in NRSFSPEER with a score of 0.998\r\n S at 424 in RHQYSDYDY with a score of 0.995\r\n S at 430 in YDYHSSSEK with a score of 0.991\r\n S at 432 in YHSSSEKLK with a score of 0.983\r\n S at 440 in KERPSSRED with a score of 0.997\r\n S at 441 in ERPSSREDT with a score of 0.998\r\n S at 450 in PSRLSRMGA with a score of 0.995\r\n S at 461 in TPFKSTGDI with a score of 0.984\r\n S at 499 in FLRPSPEDE with a score of 0.998\r\n S at 543 in QEGTSAEQE with a score of 0.988\r\n S at 590 in ILAQSRADV with a score of 0.905\r\n S at 702 in NLRKSREDL with a score of 0.998\r\n S at 713 in VVSVSTKFP with a score of 0.98\r\n S at 767 in KDAGSEKST with a score of 0.995\r\n S at 832 in LNPTSNKSS with a score of 0.991\r\n S at 835 in TSNKSSRKL with a score of 0.979\r\n S at 836 in SNKSSRKLF with a score of 0.99\r\n S at 870 in SWFGSLKDT with a score of 0.992\r\n S at 902 in EDRMSYLTA with a score of 0.913\r\n S at 920 in SRLISDFED with a score of 0.991\r\n S at 953 in ITRSSEPVQ with a score of 0.963\r\n S at 961 in QHEESIRKP with a score of 0.885\r\n S at 966 in IRKPSPEPR with a score of 0.996\r\n S at 978 in RRAASSDQL with a score of 0.987\r\n S at 986 in LRDNSPPPA with a score of 0.958\r\n S at 1006 in NKEESYDFS with a score of 0.922\r\n S at 1012 in DFSKSYEYK with a score of 0.895\r\n S at 1031 in TPGASTKGY with a score of 0.982\r\n S at 1067 in EVGESSEEQ with a score of 0.997\r\n S at 1068 in VGESSEEQD with a score of 0.843\r\n S at 1136 in PQHTSSRPP with a score of 0.911\r\n S at 1147 in QKAPSRPYQ with a score of 0.945\r\n S at 1156 in DTRGSYGSD with a score of 0.966\r\n S at 1159 in GSYGSDAEE with a score of 0.981\r\n S at 1174 in LSEHSKRGY with a score of 0.889\r\n T at 445 in SREDTPSRL with a score of 0.993\r\n T at 455 in RMGATPTPF with a score of 0.862\r\n T at 457 in GATPTPFKS with a score of 0.867\r\n T at 468 in DIAGTVVPE with a score of 0.806\r\n T at 473 in VVPETNKEP with a score of 0.859\r\n T at 636 in RVVDTLYDG with a score of 0.888\r\n T at 757 in DWFQTAKTE with a score of 0.937\r\n T at 778 in VRLNTVRQI with a score of 0.83\r\n T at 925 in DFEDTDGEG with a score of 0.921\r\n T at 1124 in VPIKTHKPD with a score of 0.97\r\n Y at 249 in IDQDYERAY with a score of 0.895\r\n Y at 261 in YDPDYERAY with a score of 0.987\r\n Y at 269 in YSPEYRRGA with a score of 0.8\r\n Y at 428 in SDYDYHSSS with a score of 0.942\r\n Y at 479 in KEPRYQEEP with a score of 0.976\r\n Y at 595 in RADVYRDIL with a score of 0.832\r\n Y at 719 in KFPAYERVL with a score of 0.867\r\n Y at 932 in EGGAYTDNE with a score of 0.952\r\n Y at 1007 in KEESYDFSK with a score of 0.98\r\n Y at 1015 in KSYEYKSNP with a score of 0.908\r\n Y at 1166 in EEEEYRQQL with a score of 0.962\r\n\r\nNetphos predictions for protein 'ZYX_HUMAN' (threshold score is 0.8):\r\n S at 7 in APRPSPAIS with a score of 0.95\r\n S at 11 in SPAISVSVS with a score of 0.802\r\n S at 142 in REKVSSIDL with a score of 0.995\r\n S at 153 in DSLSSLLDD with a score of 0.974\r\n S at 169 in KARVSSGYV with a score of 0.881\r\n S at 170 in ARVSSGYVP with a score of 0.98\r\n S at 182 in ATPFSSKSS with a score of 0.934\r\n S at 183 in TPFSSKSST with a score of 0.894\r\n S at 186 in SSKSSTKPA with a score of 0.995\r\n S at 259 in PPASSPAPA with a score of 0.898\r\n S at 281 in ASKFSPGAP with a score of 0.89\r\n S at 505 in APRCSVCSE with a score of 0.801\r\n S at 545 in GKPLSIEAD with a score of 0.968\r\n T at 179 in PPVATPFSS with a score of 0.895\r\n T at 270 in FSPVTPKFT with a score of 0.841\r\n T at 352 in PGPLTLKEV with a score of 0.989\r\n T at 520 in GRDETVRVV with a score of 0.988\r\n Y at 172 in VSSGYVPPP with a score of 0.868\r\n Y at 437 in CEGCYTDTL with a score of 0.966\r\n\r\nNetphos predictions for protein 'gi_10092601' (threshold score is 0.8):\r\n S at 28 in IPNSSPSIR with a score of 0.888\r\n S at 30 in NSSPSIRPG with a score of 0.988\r\n S at 74 in QYRHSGPPY with a score of 0.88\r\n S at 160 in EEIMSGGGS with a score of 0.978\r\n S at 176 in GRPTSTPTP with a score of 0.973\r\n S at 258 in TAIVSIAEL with a score of 0.839\r\n S at 277 in SVARSTIAA with a score of 0.984\r\n S at 288 in SSALSSQPI with a score of 0.936\r\n S at 305 in CELSSPRED with a score of 0.997\r\n S at 318 in PSLTSCTET with a score of 0.988\r\n S at 367 in SEKLSATES with a score of 0.982\r\n S at 424 in TPPASPPHT with a score of 0.978\r\n S at 441 in TTVSSPSAA with a score of 0.953\r\n S at 492 in QNLNSRRSP with a score of 0.915\r\n S at 495 in NSRRSPVPA with a score of 0.993\r\n S at 543 in KVLESEQDK with a score of 0.964\r\n S at 549 in QDKMSQGFH with a score of 0.976\r\n S at 559 in ERDPSDLKK with a score of 0.896\r\n S at 583 in NGAESVSEG with a score of 0.998\r\n S at 585 in AESVSEGEG with a score of 0.99\r\n S at 599 in GSTDSSGDG with a score of 0.995\r\n S at 612 in FKPESWKPT with a score of 0.997\r\n S at 704 in GSRRSQPGQ with a score of 0.986\r\n S at 719 in IITVSVKED with a score of 0.995\r\n S at 736 in AWKPSQKRD with a score of 0.938\r\n S at 741 in QKRDSQADD with a score of 0.998\r\n S at 866 in LEAASAPEE with a score of 0.963\r\n S at 889 in ARRRSIGNI with a score of 0.997\r\n S at 925 in HDEESLECL with a score of 0.827\r\n S at 966 in ERKTSSRIR with a score of 0.988\r\n S at 1086 in GAKASETDA with a score of 0.984\r\n S at 1094 in ALRSSASSL with a score of 0.806\r\n S at 1097 in SSASSLNRF with a score of 0.97\r\n S at 1131 in TSRGSMGRE with a score of 0.995\r\n S at 1156 in MRGGSSKDL with a score of 0.997\r\n S at 1165 in LDNQSQEEQ with a score of 0.992\r\n S at 1190 in VERNSTEAE with a score of 0.997\r\n S at 1201 in KTRESAKPE with a score of 0.995\r\n S at 1210 in ISAMSAHDK with a score of 0.991\r\n S at 1218 in KAALSEEEL with a score of 0.997\r\n S at 1226 in LERKSKSII with a score of 0.988\r\n S at 1228 in RKSKSIIDE with a score of 0.997\r\n S at 1265 in VGVESTLER with a score of 0.907\r\n S at 1287 in QLVQSEKLS with a score of 0.896\r\n S at 1291 in SEKLSKQDF with a score of 0.981\r\n S at 1334 in EGGISMREL with a score of 0.994\r\n S at 1382 in EADLSWKDF with a score of 0.998\r\n S at 1409 in IESDSPCSS with a score of 0.994\r\n S at 1412 in DSPCSSEAL with a score of 0.967\r\n S at 1417 in SEALSKKEL with a score of 0.997\r\n S at 1422 in KKELSAEEL with a score of 0.997\r\n S at 1551 in YKWESSKDP with a score of 0.997\r\n T at 37 in PGAQTPTAV with a score of 0.97\r\n T at 175 in IGRPTSTPT with a score of 0.955\r\n T at 177 in RPTSTPTPP with a score of 0.957\r\n T at 310 in PREDTIPIP with a score of 0.927\r\n T at 518 in DRTRTTEEM with a score of 0.939\r\n T at 519 in RTRTTEEML with a score of 0.952\r\n T at 618 in KPTDTEGKK with a score of 0.838\r\n T at 688 in FGRQTPGGR with a score of 0.986\r\n T at 1116 in STPSTPVEF with a score of 0.983\r\n T at 1127 in RRTLTSRGS with a score of 0.993\r\n T at 1504 in LDSDTEKEL with a score of 0.873\r\n Y at 78 in SGPPYVGPP with a score of 0.976\r\n Y at 119 in SQPVYQSAP with a score of 0.947\r\n Y at 809 in FSVAYANMC with a score of 0.933\r\n Y at 952 in RMDQYFNQM with a score of 0.856\r\n Y at 1427 in AEELYKRLE with a score of 0.964\r\n\r\nNetphos predictions for protein 'gi_10433073' (threshold score is 0.8):\r\n S at 82 in ENQISSLEA with a score of 0.816\r\n S at 119 in HQVMSIEEV with a score of 0.991\r\n\r\nNetphos predictions for protein 'gi_10434621' (threshold score is 0.8):\r\n S at 13 in GSPTSPTVE with a score of 0.993\r\n S at 70 in PEGQSPVKA with a score of 0.955\r\n S at 97 in VTFTSAKGE with a score of 0.91\r\n S at 114 in PSNHSFKKI with a score of 0.986\r\n S at 130 in KKFFSTVRK with a score of 0.823\r\n S at 231 in ERWTSKSSL with a score of 0.985\r\n S at 318 in NRIESWLET with a score of 0.992\r\n S at 340 in VPKASSSPE with a score of 0.846\r\n S at 341 in PKASSSPEP with a score of 0.968\r\n S at 342 in KASSSPEPP with a score of 0.996\r\n S at 373 in ASQGSDSEG with a score of 0.98\r\n S at 375 in QGSDSEGGA with a score of 0.976\r\n S at 386 in LASASRDHT with a score of 0.81\r\n S at 394 in TDQTSETAP with a score of 0.84\r\n S at 405 in SVPPSVKPK with a score of 0.992\r\n S at 414 in KRRKSYRSF with a score of 0.998\r\n S at 417 in KSYRSFLPE with a score of 0.911\r\n T at 131 in KFFSTVRKE with a score of 0.934\r\n T at 169 in GPTRTPYED with a score of 0.985\r\n T at 226 in IGKGTERWT with a score of 0.962\r\n T at 230 in TERWTSKSS with a score of 0.937\r\n T at 448 in RGVLTQFRA with a score of 0.849\r\n Y at 252 in VNEPYYNEA with a score of 0.904\r\n Y at 253 in NEPYYNEAG with a score of 0.976\r\n Y at 268 in LQEGYENSR with a score of 0.916\r\n Y at 425 in EKSGYPDIG with a score of 0.986\r\n\r\nNetphos predictions for protein 'gi_10435844' (threshold score is 0.8):\r\n S at 100 in QPRTSDRPP with a score of 0.997\r\n S at 132 in IPYNSCREK with a score of 0.985\r\n S at 139 in EKEPSYPMP with a score of 0.955\r\n S at 152 in QAPESPGEN with a score of 0.998\r\n S at 165 in LQTLSPRAI with a score of 0.914\r\n S at 180 in GPLESSSDL with a score of 0.956\r\n S at 222 in RGPVSPSVS with a score of 0.992\r\n S at 224 in PVSPSVSFQ with a score of 0.902\r\n S at 238 in TPRASRLPG with a score of 0.983\r\n S at 249 in GSVVSTGTS with a score of 0.837\r\n S at 258 in FSSSSPGLA with a score of 0.936\r\n S at 275 in QGAESDQAE with a score of 0.932\r\n S at 296 in NSLPSKVPT with a score of 0.829\r\n S at 329 in KLPTSSKPL with a score of 0.993\r\n T at 234 in LARSTPRAS with a score of 0.991\r\n Y at 9 in EDKTYKYIC with a score of 0.864\r\n Y at 140 in KEPSYPMPV with a score of 0.936\r\n\r\nNetphos predictions for protein 'gi_10436748' (threshold score is 0.8):\r\n S at 7 in SPANSFVGT with a score of 0.841\r\n S at 73 in PTLQSNEWT with a score of 0.929\r\n S at 98 in DRPTSEELL with a score of 0.994\r\n S at 184 in IPSMSISAS with a score of 0.91\r\n S at 189 in ISASSQSSS with a score of 0.99\r\n S at 192 in SSQSSSVNS with a score of 0.947\r\n S at 193 in SQSSSVNSL with a score of 0.821\r\n S at 196 in SSVNSLPDV with a score of 0.962\r\n S at 201 in LPDVSDDKS with a score of 0.884\r\n S at 205 in SDDKSELDM with a score of 0.979\r\n S at 243 in RTRASDPQS with a score of 0.979\r\n S at 256 in SRHKSHYRN with a score of 0.995\r\n S at 356 in AKVMSNEEK with a score of 0.991\r\n S at 380 in SFLESQKRE with a score of 0.969\r\n T at 97 in QDRPTSEEL with a score of 0.829\r\n Y at 232 in EEENYREEG with a score of 0.972\r\n Y at 293 in QMSGYKRMR with a score of 0.892\r\n\r\nNetphos predictions for protein 'gi_10438017' (threshold score is 0.8):\r\n S at 79 in LNRRSRKVG with a score of 0.996\r\n S at 138 in TLLRSPKRH with a score of 0.994\r\n S at 143 in PKRHSVQIT with a score of 0.988\r\n S at 173 in LRWRSIKTA with a score of 0.917\r\n S at 208 in NISSSSRDP with a score of 0.997\r\n S at 232 in LRALSSELP with a score of 0.992\r\n S at 298 in FSCDSEGAS with a score of 0.886\r\n S at 309 in FSNASDADG with a score of 0.943\r\n S at 351 in LKRGSDYCI with a score of 0.977\r\n S at 370 in VRRHSCAVW with a score of 0.99\r\n T at 8 in VREETVNLT with a score of 0.906\r\n Y at 314 in DADGYVAAE with a score of 0.965\r\n Y at 353 in RGSDYCIIL with a score of 0.803\r\n\r\nNetphos predictions for protein 'gi_10440462' (threshold score is 0.8):\r\n S at 36 in QKDLSDFHQ with a score of 0.972\r\n S at 54 in RLYQSLEFP with a score of 0.83\r\n S at 106 in RRFRSVFPL with a score of 0.82\r\n S at 111 in VFPLSVSDS with a score of 0.997\r\n S at 115 in SVSDSPARL with a score of 0.879\r\n S at 240 in GDVVSPEMG with a score of 0.989\r\n S at 253 in QLYISLKEL with a score of 0.992\r\n S at 263 in QLRMSSSER with a score of 0.995\r\n S at 264 in LRMSSSERD with a score of 0.987\r\n S at 265 in RMSSSERDG with a score of 0.995\r\n S at 318 in LTKHSTSAV with a score of 0.802\r\n S at 320 in KHSTSAVDL with a score of 0.996\r\n S at 376 in ARELSSGQK with a score of 0.981\r\n S at 475 in GVRESVLPE with a score of 0.856\r\n S at 520 in ALATSPSPP with a score of 0.958\r\n S at 550 in ALATSPSPP with a score of 0.958\r\n T at 357 in FVEDTCRLA with a score of 0.926\r\n Y at 495 in VELCYMNTN with a score of 0.908\r\n\r\nNetphos predictions for protein 'gi_11280538' (threshold score is 0.8):\r\n S at 12 in CTQSSISPQ with a score of 0.823\r\n S at 14 in QSSISPQYN with a score of 0.968\r\n S at 41 in LARYSNSEV with a score of 0.939\r\n S at 53 in SGLDSQKSD with a score of 0.995\r\n S at 56 in DSQKSDEEY with a score of 0.997\r\n S at 118 in YNYTSEEKF with a score of 0.979\r\n S at 143 in GRMESVFNQ with a score of 0.916\r\n S at 274 in DKSGSKKTL with a score of 0.989\r\n S at 280 in KTLRSSLDG with a score of 0.991\r\n S at 281 in TLRSSLDGP with a score of 0.983\r\n S at 357 in TKEPSMMEY with a score of 0.984\r\n S at 471 in TQRISAAMY with a score of 0.913\r\n S at 483 in DQAISRFES with a score of 0.917\r\n S at 487 in SRFESEDLT with a score of 0.967\r\n S at 492 in EDLTSIVEL with a score of 0.985\r\n S at 602 in HIYSSYRNF with a score of 0.961\r\n S at 667 in HEYGSPGIL with a score of 0.945\r\n S at 694 in DVFQSLREV with a score of 0.83\r\n S at 713 in EQALSQEEV with a score of 0.995\r\n S at 932 in ETDSSTVEH with a score of 0.981\r\n T at 152 in AIRNTIYAA with a score of 0.802\r\n T at 164 in FAQVTLREP with a score of 0.96\r\n T at 467 in NRLITQRIS with a score of 0.842\r\n T at 506 in INRLTHRLL with a score of 0.93\r\n T at 538 in YGRITLHVF with a score of 0.915\r\n Y at 60 in SDEEYRELF with a score of 0.899\r\n Y at 108 in TAEEYERAT with a score of 0.939\r\n Y at 154 in RNTIYAALQ with a score of 0.886\r\n Y at 369 in PLDLYNDSA with a score of 0.861\r\n\r\nNetphos predictions for protein 'gi_11761619' (threshold score is 0.8):\r\n S at 78 in RISMSHEEE with a score of 0.997\r\n S at 192 in LQPTSIEKE with a score of 0.903\r\n S at 299 in ARIRSHSWL with a score of 0.977\r\n S at 301 in IRSHSWLES with a score of 0.998\r\n S at 375 in LPHKSIGES with a score of 0.861\r\n S at 379 in SIGESVPEP with a score of 0.989\r\n T at 21 in LTLSTPKPL with a score of 0.926\r\n T at 290 in IRRCTVLRD with a score of 0.891\r\n Y at 364 in NDELYLNGA with a score of 0.977\r\n\r\nNetphos predictions for protein 'gi_12248757' (threshold score is 0.8):\r\n S at 5 in MTASSVEQL with a score of 0.95\r\n S at 132 in VRYMSSTDA with a score of 0.998\r\n S at 229 in RRVVSILGV with a score of 0.925\r\n S at 312 in VPRKSLKDP with a score of 0.998\r\n S at 355 in NSRMSASIL with a score of 0.976\r\n S at 474 in LYKCSEKDS with a score of 0.974\r\n S at 499 in GTDFSMKQF with a score of 0.842\r\n S at 563 in LFQLSRLEE with a score of 0.85\r\n S at 615 in KDKPSFVRA with a score of 0.967\r\n S at 641 in VKTESPVLT with a score of 0.94\r\n S at 647 in VLTSSCREL with a score of 0.93\r\n S at 790 in NLAMSKEVQ with a score of 0.98\r\n S at 812 in LVLYSGEDD with a score of 0.99\r\n S at 903 in KGDHSPVTR with a score of 0.919\r\n T at 528 in IDAGTRRWA with a score of 0.821\r\n T at 781 in RRAATECMC with a score of 0.914\r\n T at 836 in SMRPTLCSR with a score of 0.852\r\n Y at 130 in EKVRYMSST with a score of 0.944\r\n Y at 471 in LKDLYKCSE with a score of 0.816\r\n Y at 587 in NSYDYEEPD with a score of 0.941\r\n\r\nNetphos predictions for protein 'gi_12652771' (threshold score is 0.8):\r\n S at 10 in GTQSSGKSS with a score of 0.947\r\n S at 14 in SGKSSVLES with a score of 0.989\r\n S at 45 in LVHVSQEDK with a score of 0.99\r\n S at 93 in TERISGNNK with a score of 0.919\r\n S at 100 in NKGVSPEPI with a score of 0.991\r\n S at 174 in ALKISREVD with a score of 0.826\r\n S at 222 in VVNRSQLDI with a score of 0.801\r\n S at 231 in NNKKSVTDS with a score of 0.997\r\n S at 235 in SVTDSIRDE with a score of 0.997\r\n S at 295 in SLLNSYGEP with a score of 0.921\r\n S at 402 in LEEPSLRCV with a score of 0.813\r\n S at 507 in SRDKSSKVP with a score of 0.995\r\n S at 508 in RDKSSKVPS with a score of 0.911\r\n S at 518 in LAPASQEPS with a score of 0.978\r\n S at 526 in SPAASAEAD with a score of 0.97\r\n S at 537 in LIQDSRRET with a score of 0.997\r\n S at 546 in KNVASGGGG with a score of 0.942\r\n S at 570 in MLKTSKAEE with a score of 0.922\r\n S at 611 in ARKLSAREQ with a score of 0.997\r\n S at 639 in NIQDSVPKA with a score of 0.87\r\n T at 29 in LPRGTGIVT with a score of 0.828\r\n T at 52 in DKRKTTGEE with a score of 0.981\r\n T at 53 in KRKTTGEEN with a score of 0.935\r\n T at 256 in NRNGTKYLA with a score of 0.82\r\n T at 541 in SRRETKNVA with a score of 0.982\r\n T at 569 in GMLKTSKAE with a score of 0.807\r\n Y at 75 in KNKLYTDFD with a score of 0.888\r\n Y at 467 in IELAYINTK with a score of 0.914\r\n\r\nNetphos predictions for protein 'gi_12655790' (threshold score is 0.8):\r\n S at 35 in TPKDSKYVE with a score of 0.94\r\n S at 108 in ERSHSPPLK with a score of 0.927\r\n S at 134 in NTQVSRKKL with a score of 0.982\r\n S at 166 in TADVSREQV with a score of 0.952\r\n S at 183 in NSLISGLSQ with a score of 0.855\r\n S at 186 in ISGLSQDEE with a score of 0.983\r\n S at 201 in TPMNSLVDE with a score of 0.921\r\n S at 230 in QISLSQSTT with a score of 0.935\r\n S at 232 in SLSQSTTAS with a score of 0.865\r\n S at 238 in TASLSKK-- with a score of 0.986\r\n T at 31 in IGKATPKDS with a score of 0.98\r\n Y at 4 in -MEDYLQGC with a score of 0.96\r\n Y at 37 in KDSKYVEKL with a score of 0.977\r\n\r\nNetphos predictions for protein 'gi_12751119' (threshold score is 0.8):\r\n S at 37 in TIATSQNRI with a score of 0.801\r\n S at 61 in FTRGSDSLI with a score of 0.833\r\n S at 63 in RGSDSLIKG with a score of 0.985\r\n Y at 18 in KNPGYIKLR with a score of 0.944\r\n\r\nNetphos predictions for protein 'gi_12804319' (threshold score is 0.8):\r\n S at 37 in VVAVSRTQA with a score of 0.985\r\n S at 135 in VNVSSQCSQ with a score of 0.871\r\n S at 146 in VTNHSVYCS with a score of 0.933\r\n S at 184 in VVMTSMGQA with a score of 0.881\r\n T at 66 in DWEATERAL with a score of 0.966\r\n\r\nNetphos predictions for protein 'gi_13540580' (threshold score is 0.8):\r\n S at 156 in QNDFSYYRR with a score of 0.941\r\n S at 241 in PEYRSRFTS with a score of 0.828\r\n S at 245 in SRFTSEETL with a score of 0.992\r\n S at 276 in FCKTSKIDM with a score of 0.977\r\n S at 294 in QAPDSVEGL with a score of 0.992\r\n T at 194 in YAEATPMLK with a score of 0.921\r\n T at 244 in RSRFTSEET with a score of 0.989\r\n\r\nNetphos predictions for protein 'gi_13562114' (threshold score is 0.8):\r\n S at 35 in DLAGSDRGA with a score of 0.97\r\n S at 40 in DRGASALQL with a score of 0.899\r\n S at 48 in LERISVYYN with a score of 0.946\r\n S at 75 in GTMDSIRSS with a score of 0.857\r\n S at 78 in DSIRSSKLG with a score of 0.919\r\n S at 79 in SIRSSKLGA with a score of 0.961\r\n S at 124 in VRHESESCD with a score of 0.951\r\n S at 172 in SVMPSPKVS with a score of 0.995\r\n S at 285 in YRALSVAEL with a score of 0.99\r\n S at 322 in RGKMSTKEV with a score of 0.997\r\n S at 338 in QTRNSSCFV with a score of 0.82\r\n S at 362 in PRGLSMAAT with a score of 0.941\r\n S at 382 in FNRVSEHFS with a score of 0.954\r\n S at 420 in HDLVSEYQQ with a score of 0.899\r\n Y at 55 in YNEAYGRKY with a score of 0.935\r\n Y at 106 in AKGHYTEGA with a score of 0.879\r\n Y at 222 in TTPTYGDLN with a score of 0.897\r\n\r\nNetphos predictions for protein 'gi_1374811_' (threshold score is 0.8):\r\n\r\nNetphos predictions for protein 'gi_14042685' (threshold score is 0.8):\r\n S at 121 in DRKDSYYSI with a score of 0.996\r\n S at 186 in LCRTSVPCA with a score of 0.963\r\n S at 217 in TNRPSPWRP with a score of 0.976\r\n S at 309 in PCRMSIAEL with a score of 0.99\r\n S at 368 in VLNLSLGES with a score of 0.965\r\n T at 22 in DFPETSEPV with a score of 0.849\r\n T at 37 in YSIFTEKDE with a score of 0.969\r\n T at 99 in DWRWTQRKR with a score of 0.989\r\n T at 213 in GAEVTNRPS with a score of 0.866\r\n T at 282 in DPHTTQPAV with a score of 0.824\r\n Y at 108 in QPDSYFSVL with a score of 0.803\r\n Y at 122 in RKDSYYSIH with a score of 0.969\r\n Y at 239 in INEAYVETL with a score of 0.945\r\n Y at 276 in EELIYLDPH with a score of 0.978\r\n\r\nNetphos predictions for protein 'gi_14042728' (threshold score is 0.8):\r\n S at 24 in NAYSSPSVV with a score of 0.823\r\n S at 63 in ARVMSWWDY with a score of 0.965\r\n S at 99 in GKAMSSNET with a score of 0.956\r\n S at 153 in DIRESDYFT with a score of 0.996\r\n S at 258 in QKYLSKKTT with a score of 0.997\r\n T at 79 in ANRTTLVDN with a score of 0.82\r\n T at 240 in DNRETLDHK with a score of 0.808\r\n T at 262 in SKKTTKRKR with a score of 0.936\r\n Y at 155 in RESDYFTPQ with a score of 0.972\r\n Y at 256 in PKQKYLSKK with a score of 0.91\r\n Y at 268 in RKRGYIKNK with a score of 0.85\r\n\r\nNetphos predictions for protein 'gi_14043111' (threshold score is 0.8):\r\n S at 127 in MCEDSKVDA with a score of 0.966\r\n S at 170 in VKEDSAEVL with a score of 0.975\r\n S at 187 in AEAASKTEV with a score of 0.87\r\n S at 273 in FIFMSPMEQ with a score of 0.891\r\n S at 279 in MEQTSTSEG with a score of 0.983\r\n S at 281 in QTSTSEGWI with a score of 0.911\r\n S at 324 in ILNTSSSNS with a score of 0.823\r\n S at 328 in SSSNSLTFG with a score of 0.99\r\n S at 551 in KEIISECKS with a score of 0.947\r\n S at 555 in SECKSKGNN with a score of 0.942\r\n T at 12 in YSKVTPRRN with a score of 0.941\r\n T at 23 in QRPGTIKHG with a score of 0.915\r\n T at 278 in PMEQTSTSE with a score of 0.951\r\n T at 519 in SVDTTYRPH with a score of 0.803\r\n Y at 8 in REELYSKVT with a score of 0.979\r\n Y at 156 in PLELYTSSN with a score of 0.807\r\n Y at 341 in ERRPYEDQG with a score of 0.823\r\n Y at 403 in AKGRYIRTN with a score of 0.907\r\n Y at 538 in SYDTYISRS with a score of 0.876\r\n\r\nNetphos predictions for protein 'gi_14133241' (threshold score is 0.8):\r\n S at 44 in RRVGSGPRG with a score of 0.975\r\n S at 75 in ESALSVETL with a score of 0.954\r\n S at 93 in ECSHSALRR with a score of 0.918\r\n S at 293 in PDYISPEIL with a score of 0.947\r\n S at 359 in VTDVSEEAK with a score of 0.926\r\n S at 412 in PDVSSPSDT with a score of 0.998\r\n S at 414 in VSSPSDTSN with a score of 0.967\r\n S at 417 in PSDTSNFDV with a score of 0.978\r\n S at 459 in ESCFSDRGS with a score of 0.983\r\n S at 463 in SDRGSLKSI with a score of 0.995\r\n S at 507 in KLELSRKLQ with a score of 0.973\r\n S at 519 in QTVQSLHGS with a score of 0.828\r\n S at 528 in SRALSNSNR with a score of 0.992\r\n S at 530 in ALSNSNRDK with a score of 0.995\r\n S at 573 in EREDSTQRL with a score of 0.983\r\n S at 607 in ERLKSQAKE with a score of 0.958\r\n S at 690 in VAEASKERK with a score of 0.934\r\n S at 699 in LREHSENFC with a score of 0.905\r\n S at 737 in SKIKSELEK with a score of 0.986\r\n S at 771 in EVHDSESHQ with a score of 0.865\r\n S at 792 in KLEKSKRER with a score of 0.994\r\n S at 901 in ALRSSSLGS with a score of 0.946\r\n S at 902 in LRSSSLGSR with a score of 0.854\r\n S at 917 in KVRRSQKLD with a score of 0.985\r\n S at 930 in LELQSALEA with a score of 0.865\r\n S at 963 in KLKDSEAKN with a score of 0.959\r\n S at 999 in DFQDSIFEY with a score of 0.921\r\n S at 1019 in FRTSSASEQ with a score of 0.997\r\n S at 1021 in TSSASEQET with a score of 0.994\r\n S at 1033 in KPEASPSMS with a score of 0.988\r\n S at 1037 in SPSMSVAAS with a score of 0.905\r\n S at 1041 in SVAASEQQE with a score of 0.927\r\n S at 1078 in AHQFSIKSF with a score of 0.961\r\n S at 1084 in KSFSSPTQC with a score of 0.904\r\n S at 1115 in ACHVSCKDG with a score of 0.98\r\n S at 1389 in LKRNSGTCL with a score of 0.995\r\n S at 1592 in TSDNSKKQM with a score of 0.985\r\n S at 1601 in LRTRSKRRF with a score of 0.995\r\n S at 1664 in AVPPSQEER with a score of 0.996\r\n S at 1693 in SWPSSGGSE with a score of 0.964\r\n S at 1706 in VPLRSMSDP with a score of 0.997\r\n S at 1708 in LRSMSDPDQ with a score of 0.997\r\n S at 1720 in KEPDSDSTK with a score of 0.936\r\n S at 1722 in PDSDSTKHS with a score of 0.989\r\n S at 1726 in STKHSTPSN with a score of 0.95\r\n S at 1729 in HSTPSNSSN with a score of 0.866\r\n S at 1739 in SGPPSPNSP with a score of 0.956\r\n S at 1742 in PSPNSPHRS with a score of 0.989\r\n T at 474 in SNTLTKDED with a score of 0.866\r\n T at 574 in REDSTQRLR with a score of 0.879\r\n T at 658 in MEVATQKVD with a score of 0.855\r\n T at 806 in EAVGTIKDK with a score of 0.974\r\n Y at 100 in RRDKYVAEF with a score of 0.841\r\n Y at 199 in ENHLYLVMD with a score of 0.859\r\n Y at 205 in VMDYYVGGD with a score of 0.884\r\n Y at 291 in GTPDYISPE with a score of 0.95\r\n Y at 331 in ETPFYAESL with a score of 0.852\r\n Y at 811 in IKDKYERER with a score of 0.952\r\n Y at 1312 in EEGLYVIEV with a score of 0.966\r\n Y at 1496 in HMGLYVDPQ with a score of 0.969\r\n Y at 1687 in RNKPYISWP with a score of 0.855\r\n\r\nNetphos predictions for protein 'gi_14150094' (threshold score is 0.8):\r\n S at 40 in PRMASPVNV with a score of 0.8\r\n Y at 84 in NNIKYHDIP with a score of 0.971\r\n\r\nNetphos predictions for protein 'gi_14210488' (threshold score is 0.8):\r\n S at 26 in VSRQSVLCG with a score of 0.988\r\n S at 67 in VKSRSVIRP with a score of 0.98\r\n S at 171 in DVTKSYYQK with a score of 0.901\r\n Y at 13 in NKSEYIETA with a score of 0.976\r\n\r\nNetphos predictions for protein 'gi_14249316' (threshold score is 0.8):\r\n S at 2 in ---MSVKEG with a score of 0.875\r\n S at 85 in LARLSGRGV with a score of 0.959\r\n S at 154 in LCIYSPEGH with a score of 0.857\r\n S at 186 in MNELSGSDN with a score of 0.96\r\n Y at 124 in SNQGYVRQL with a score of 0.93\r\n Y at 193 in DNVPYVVTL with a score of 0.866\r\n\r\nNetphos predictions for protein 'gi_14250573' (threshold score is 0.8):\r\n S at 32 in LTISSLKDG with a score of 0.991\r\n S at 85 in LQRASAAPK with a score of 0.817\r\n S at 115 in SPAVSKVTS with a score of 0.924\r\n S at 137 in GSVSSPKVT with a score of 0.994\r\n S at 145 in TSIPSPSSA with a score of 0.928\r\n S at 162 in SSHASPSPV with a score of 0.963\r\n S at 164 in HASPSPVAA with a score of 0.967\r\n S at 190 in SADQSPSAL with a score of 0.813\r\n S at 195 in PSALSAGKT with a score of 0.95\r\n S at 217 in CSETSQELA with a score of 0.876\r\n S at 228 in QRRGSQGDS with a score of 0.998\r\n S at 260 in HSDASKKRL with a score of 0.997\r\n S at 298 in HLKESEADN with a score of 0.98\r\n S at 309 in KANNSQEPS with a score of 0.991\r\n S at 319 in QLASSVAST with a score of 0.952\r\n S at 322 in SSVASTRSM with a score of 0.981\r\n S at 325 in ASTRSMPES with a score of 0.876\r\n S at 329 in SMPESLDSP with a score of 0.827\r\n S at 332 in ESLDSPTSG with a score of 0.994\r\n S at 335 in DSPTSGRPG with a score of 0.986\r\n S at 360 in GVIKSPSWQ with a score of 0.99\r\n S at 377 in TGRISNSAA with a score of 0.975\r\n S at 399 in QTQPSDQDT with a score of 0.993\r\n S at 580 in QTFFSKKDK with a score of 0.996\r\n S at 593 in KHAHSVNF- with a score of 0.803\r\n T at 303 in EADNTKKAN with a score of 0.832\r\n Y at 525 in DGEPYCETD with a score of 0.915\r\n Y at 530 in CETDYYALF with a score of 0.862\r\n Y at 531 in ETDYYALFG with a score of 0.941\r\n\r\nNetphos predictions for protein 'gi_14594904' (threshold score is 0.8):\r\n S at 6 in PEESSPRRT with a score of 0.997\r\n S at 55 in AGEHSGRYE with a score of 0.935\r\n S at 185 in SSVLSRNKT with a score of 0.963\r\n S at 256 in ELAKSQDKT with a score of 0.964\r\n T at 40 in KPTGTPKAL with a score of 0.979\r\n T at 158 in ESATTFKVL with a score of 0.907\r\n Y at 58 in HSGRYEELA with a score of 0.841\r\n Y at 194 in EVDIYNSDP with a score of 0.856\r\n Y at 248 in SKGAYLLME with a score of 0.808\r\n Y at 268 in YEGAYHVLH with a score of 0.802\r\n\r\nNetphos predictions for protein 'gi_15680169' (threshold score is 0.8):\r\n S at 11 in TAEASGSDG with a score of 0.995\r\n S at 37 in AKRNSLKEL with a score of 0.996\r\n S at 75 in GVDASESFE with a score of 0.82\r\n S at 77 in DASESFEDV with a score of 0.984\r\n S at 108 in LKPESGSKD with a score of 0.981\r\n S at 110 in PESGSKDPS with a score of 0.88\r\n S at 114 in SKDPSKNDT with a score of 0.997\r\n S at 149 in SESKSS--- with a score of 0.944\r\n T at 144 in YRYYTSESK with a score of 0.819\r\n\r\nNetphos predictions for protein 'gi_15723376' (threshold score is 0.8):\r\n S at 21 in DRSISQDSL with a score of 0.989\r\n S at 24 in ISQDSLDEL with a score of 0.989\r\n S at 29 in LDELSMEDY with a score of 0.993\r\n S at 43 in NIKKSSENS with a score of 0.987\r\n S at 44 in IKKSSENSQ with a score of 0.88\r\n S at 47 in SSENSQEDQ with a score of 0.998\r\n S at 136 in QQRESKETA with a score of 0.997\r\n S at 148 in TESQSLRTN with a score of 0.93\r\n S at 190 in NLEVSFAEQ with a score of 0.923\r\n S at 201 in NQKESSKEK with a score of 0.991\r\n S at 202 in QKESSKEKI with a score of 0.948\r\n S at 209 in KIQKSKGDD with a score of 0.996\r\n S at 306 in QKLISRIEE with a score of 0.992\r\n S at 348 in FNWESVKQH with a score of 0.95\r\n S at 371 in QPLLSVEYL with a score of 0.917\r\n S at 523 in KQDKSTNDA with a score of 0.996\r\n S at 565 in ARFLSQESG with a score of 0.972\r\n T at 109 in KRVETVSQT with a score of 0.913\r\n T at 178 in PPEETPAPE with a score of 0.983\r\n T at 228 in DKTGTTRIG with a score of 0.837\r\n T at 408 in ANRDTLKAL with a score of 0.931\r\n T at 573 in GVAQTLKKG with a score of 0.927\r\n Y at 33 in SMEDYWIEL with a score of 0.968\r\n Y at 156 in NENKYQGRD with a score of 0.893\r\n Y at 517 in DREKYEKQD with a score of 0.924\r\n Y at 598 in DDDTYMKDL with a score of 0.926\r\n Y at 603 in MKDLYQLNP with a score of 0.914\r\n\r\nNetphos predictions for protein 'gi_16551626' (threshold score is 0.8):\r\n S at 17 in EQLLSPRTQ with a score of 0.8\r\n S at 47 in VHRKSVKKG with a score of 0.997\r\n S at 86 in RKLLSAEER with a score of 0.991\r\n S at 92 in EERISQTVE with a score of 0.972\r\n S at 234 in PECDSDEDE with a score of 0.997\r\n T at 260 in IGSNTVVEA with a score of 0.913\r\n Y at 137 in PITDYVDQQ with a score of 0.908\r\n\r\nNetphos predictions for protein 'gi_16753212' (threshold score is 0.8):\r\n S at 9 in SSTSSPYPL with a score of 0.989\r\n S at 38 in GENLSKKAK with a score of 0.98\r\n S at 47 in EKRESLIKK with a score of 0.991\r\n S at 57 in KDVKSIYLQ with a score of 0.961\r\n S at 90 in ISLASERYD with a score of 0.976\r\n S at 101 in DEAPSDGAQ with a score of 0.969\r\n S at 131 in RKDHSFLGF with a score of 0.957\r\n S at 154 in YYYGSDKDK with a score of 0.948\r\n S at 203 in FTAASPKDA with a score of 0.998\r\n S at 283 in QRKMSQDSV with a score of 0.971\r\n S at 286 in MSQDSVHHT with a score of 0.983\r\n S at 317 in SDELSFKRG with a score of 0.996\r\n T at 176 in RMNNTLRKD with a score of 0.945\r\n Y at 75 in DGEEYDDPF with a score of 0.958\r\n Y at 230 in IPEDYDERG with a score of 0.826\r\n Y at 237 in RGELYDDVD with a score of 0.974\r\n Y at 261 in DDEIYEELP with a score of 0.986\r\n Y at 298 in KSTDYANFY with a score of 0.982\r\n\r\nNetphos predictions for protein 'gi_16753233' (threshold score is 0.8):\r\n S at 52 in GLFLSDDDP with a score of 0.866\r\n S at 105 in MVDDSKTVT with a score of 0.984\r\n S at 231 in SHPVSFDKA with a score of 0.821\r\n S at 290 in CGQMSEIEA with a score of 0.971\r\n S at 362 in RWAASPKSF with a score of 0.993\r\n S at 423 in MLEDSVSPK with a score of 0.902\r\n S at 425 in EDSVSPKKS with a score of 0.995\r\n S at 458 in RSGASGPEN with a score of 0.987\r\n S at 539 in KMDESKHEI with a score of 0.917\r\n S at 545 in HEIHSQVDA with a score of 0.993\r\n S at 658 in QIGESDTDP with a score of 0.979\r\n S at 712 in QCALSTSQL with a score of 0.969\r\n S at 815 in NIFSSMGDA with a score of 0.973\r\n S at 848 in AEGESDLEN with a score of 0.912\r\n S at 883 in AHPDSEEQQ with a score of 0.983\r\n S at 927 in QAAASATQT with a score of 0.927\r\n S at 945 in TPKASAGPQ with a score of 0.898\r\n S at 979 in AQPDSPSAQ with a score of 0.936\r\n S at 1055 in DSALSVVQN with a score of 0.911\r\n S at 1100 in KAVSSAIAQ with a score of 0.873\r\n S at 1164 in DKASSLIEE with a score of 0.98\r\n S at 1225 in KRLLSDSLP with a score of 0.977\r\n S at 1271 in LARASGRFG with a score of 0.984\r\n S at 1294 in GQAPSQEDR with a score of 0.993\r\n S at 1513 in CRLASARTT with a score of 0.811\r\n S at 1528 in QFVQSAKEV with a score of 0.989\r\n S at 1535 in EVANSTANL with a score of 0.815\r\n S at 1589 in PAQISPEGR with a score of 0.977\r\n S at 1629 in RDPPSWSVL with a score of 0.907\r\n S at 1643 in TVSDSIKKL with a score of 0.994\r\n S at 1650 in KLITSMRDK with a score of 0.995\r\n S at 1694 in REGISQEAL with a score of 0.936\r\n S at 1878 in KSNTSPEEL with a score of 0.998\r\n S at 1940 in ALQCSPSDA with a score of 0.986\r\n S at 1958 in ARRVSEKVS with a score of 0.997\r\n S at 2040 in NAAGSQEKL with a score of 0.894\r\n S at 2068 in LGAASLGAE with a score of 0.856\r\n S at 2170 in PAKTSTPED with a score of 0.962\r\n S at 2262 in LQKPSPELK with a score of 0.944\r\n S at 2279 in RVAGSVTEL with a score of 0.988\r\n T at 144 in EITGTLRKD with a score of 0.931\r\n T at 179 in DHGRTLREQ with a score of 0.899\r\n T at 382 in YSVQTTEGE with a score of 0.904\r\n T at 941 in HAASTPKAS with a score of 0.986\r\n T at 1142 in VAALTSDPA with a score of 0.945\r\n T at 1263 in ASRGTPQDL with a score of 0.954\r\n T at 1372 in RELETVREL with a score of 0.971\r\n T at 1813 in DLTTTLNEA with a score of 0.84\r\n T at 1856 in DYQTTMVRT with a score of 0.852\r\n T at 1946 in SDAYTKKEL with a score of 0.912\r\n T at 2169 in PPAKTSTPE with a score of 0.897\r\n T at 2171 in AKTSTPEDF with a score of 0.871\r\n Y at 298 in AKVRYVKLA with a score of 0.9\r\n Y at 373 in DFGDYQDGY with a score of 0.914\r\n Y at 377 in YQDGYYSVQ with a score of 0.936\r\n Y at 570 in AETDYTAVG with a score of 0.989\r\n Y at 1116 in GNENYAGIA with a score of 0.9\r\n Y at 1945 in PSDAYTKKE with a score of 0.851\r\n\r\nNetphos predictions for protein 'gi_16877213' (threshold score is 0.8):\r\n S at 63 in EVSSSQPWE with a score of 0.844\r\n S at 110 in SRNLSLRLE with a score of 0.947\r\n S at 137 in KQGKSRGHS with a score of 0.867\r\n S at 141 in SRGHSIKTL with a score of 0.997\r\n S at 176 in LSCQSPRSK with a score of 0.983\r\n S at 210 in RGSLSLTNL with a score of 0.859\r\n S at 315 in SSVTSARAL with a score of 0.939\r\n S at 344 in QALPSPRLP with a score of 0.951\r\n S at 371 in SSGLSRMGA with a score of 0.965\r\n T at 93 in NGVTTSKPG with a score of 0.981\r\n T at 332 in PGALTPTPS with a score of 0.945\r\n T at 349 in PRLPTTDGA with a score of 0.891\r\n\r\nNetphos predictions for protein 'gi_16877909' (threshold score is 0.8):\r\n S at 7 in SSAQSGGSS with a score of 0.951\r\n S at 10 in QSGGSSGGP with a score of 0.823\r\n S at 150 in QNRLSECEE with a score of 0.995\r\n S at 165 in KGMWSEGNG with a score of 0.823\r\n S at 189 in HFVDSHHQK with a score of 0.821\r\n S at 206 in VRDGSVVRA with a score of 0.912\r\n S at 238 in EADGSETPE with a score of 0.939\r\n S at 372 in IHLSSIRPP with a score of 0.975\r\n S at 426 in IRPASPATE with a score of 0.959\r\n S at 436 in VPAFSERTC with a score of 0.871\r\n S at 473 in DDQRSSHYD with a score of 0.849\r\n S at 474 in DQRSSHYDE with a score of 0.998\r\n S at 495 in KGLHSKKEV with a score of 0.997\r\n S at 508 in VADISGDTQ with a score of 0.809\r\n S at 578 in GEPFSEEAT with a score of 0.987\r\n S at 638 in AERSSYYKS with a score of 0.996\r\n S at 645 in KSLLSAEEA with a score of 0.995\r\n S at 681 in ERSASYKPV with a score of 0.996\r\n S at 774 in EVLPSTRLG with a score of 0.872\r\n S at 785 in SPAFSTRVL with a score of 0.834\r\n S at 816 in DAVDSVVRD with a score of 0.962\r\n S at 847 in QFADSKGDV with a score of 0.976\r\n S at 884 in NAQESAKSA with a score of 0.982\r\n S at 887 in ESAKSARLN with a score of 0.826\r\n T at 73 in DAKDTPDEP with a score of 0.993\r\n T at 134 in EGLATRREG with a score of 0.899\r\n T at 172 in NGSHTIRDL with a score of 0.832\r\n T at 240 in DGSETPEPF with a score of 0.947\r\n T at 383 in EGENTQDKN with a score of 0.887\r\n T at 511 in ISGDTQKAK with a score of 0.875\r\n Y at 178 in RDLKYTIEN with a score of 0.901\r\n Y at 365 in NSGDYKTIH with a score of 0.91\r\n Y at 908 in DEFGYSR-- with a score of 0.9\r\n\r\nNetphos predictions for protein 'gi_16924294' (threshold score is 0.8):\r\n S at 75 in LRQRSGGME with a score of 0.991\r\n S at 303 in RVRRSSECM with a score of 0.997\r\n S at 304 in VRRSSECMK with a score of 0.998\r\n S at 350 in LRRFSFSGN with a score of 0.989\r\n S at 359 in TLVSSSADP with a score of 0.937\r\n S at 394 in QTKGSPESR with a score of 0.967\r\n S at 400 in ESRLSFQHD with a score of 0.967\r\n T at 274 in HGPQTLYLP with a score of 0.842\r\n T at 292 in QRGGTIVPR with a score of 0.872\r\n Y at 11 in NMFSYDNYE with a score of 0.805\r\n Y at 14 in SYDNYEGSA with a score of 0.907\r\n\r\nNetphos predictions for protein 'gi_1732418_' (threshold score is 0.8):\r\n S at 68 in SDPTSERWY with a score of 0.942\r\n S at 99 in LVRESLSQP with a score of 0.952\r\n S at 147 in ETFDSLTDL with a score of 0.843\r\n S at 197 in KKQESEDTA with a score of 0.921\r\n S at 255 in QGRDSNIPG with a score of 0.965\r\n S at 359 in TLQVSPLDN with a score of 0.996\r\n S at 377 in YQYLSWPDH with a score of 0.933\r\n S at 435 in MENISTKGL with a score of 0.931\r\n S at 489 in EVLQSQKGQ with a score of 0.957\r\n S at 495 in KGQESEYGN with a score of 0.872\r\n S at 514 in HAKASRTSS with a score of 0.889\r\n S at 517 in ASRTSSKHK with a score of 0.997\r\n S at 518 in SRTSSKHKE with a score of 0.993\r\n S at 543 in KKQRSADKE with a score of 0.903\r\n S at 549 in DKEKSKGSL with a score of 0.971\r\n S at 552 in KSKGSLKRK with a score of 0.99\r\n T at 200 in ESEDTAKAG with a score of 0.921\r\n T at 311 in VIVMTTREV with a score of 0.984\r\n T at 479 in QFIETTKKK with a score of 0.887\r\n T at 480 in FIETTKKKL with a score of 0.958\r\n Y at 237 in GKNRYKNIL with a score of 0.882\r\n Y at 262 in PGSDYINAN with a score of 0.972\r\n Y at 466 in TEAQYKFIY with a score of 0.835\r\n Y at 470 in YKFIYVAIA with a score of 0.951\r\n Y at 497 in QESEYGNIT with a score of 0.98\r\n Y at 525 in KEDVYENLH with a score of 0.989\r\n\r\nNetphos predictions for protein 'gi_17462853' (threshold score is 0.8):\r\n S at 7 in QTVKSLMAS with a score of 0.889\r\n S at 11 in SLMASEEEY with a score of 0.995\r\n S at 16 in EEEYSTKEE with a score of 0.997\r\n S at 63 in ETLASAKEE with a score of 0.992\r\n T at 4 in -MDQTVKSL with a score of 0.952\r\n T at 17 in EEYSTKEEK with a score of 0.833\r\n Y at 15 in SEEEYSTKE with a score of 0.986\r\n Y at 22 in KEEKYEKEM with a score of 0.979\r\n\r\nNetphos predictions for protein 'gi_17482462' (threshold score is 0.8):\r\n S at 8 in RSELSASSE with a score of 0.806\r\n S at 10 in ELSASSEKL with a score of 0.985\r\n S at 11 in LSASSEKLR with a score of 0.97\r\n S at 113 in EEKYSQKED with a score of 0.997\r\n Y at 60 in ADRKYEEVA with a score of 0.962\r\n Y at 112 in AEEKYSQKE with a score of 0.98\r\n Y at 119 in KEDKYEEEI with a score of 0.983\r\n\r\nNetphos predictions for protein 'gi_178045_g' (threshold score is 0.8):\r\n S at 56 in ERGYSFTTT with a score of 0.979\r\n S at 89 in ATAASSSSL with a score of 0.828\r\n S at 91 in AASSSSLEK with a score of 0.89\r\n S at 92 in ASSSSLEKS with a score of 0.979\r\n S at 96 in SLEKSYELP with a score of 0.989\r\n S at 180 in ALAPSTMKI with a score of 0.811\r\n T at 51 in MKILTERGY with a score of 0.804\r\n T at 59 in YSFTTTAER with a score of 0.845\r\n Y at 75 in EKLCYVALD with a score of 0.894\r\n Y at 151 in RKDLYANTV with a score of 0.982\r\n Y at 219 in SKQEYDESG with a score of 0.979\r\n\r\nNetphos predictions for protein 'gi_18088355' (threshold score is 0.8):\r\n S at 7 in TSASSSQPQ with a score of 0.942\r\n S at 41 in AGLFSQEQY with a score of 0.939\r\n S at 50 in ERNKSSSSS with a score of 0.99\r\n S at 51 in RNKSSSSSS with a score of 0.82\r\n S at 52 in NKSSSSSSS with a score of 0.994\r\n S at 53 in KSSSSSSSS with a score of 0.972\r\n S at 54 in SSSSSSSSS with a score of 0.991\r\n S at 55 in SSSSSSSSS with a score of 0.99\r\n S at 56 in SSSSSSSSS with a score of 0.99\r\n S at 57 in SSSSSSSSS with a score of 0.99\r\n S at 58 in SSSSSSSSS with a score of 0.99\r\n S at 59 in SSSSSSSSS with a score of 0.99\r\n S at 60 in SSSSSSSSS with a score of 0.99\r\n S at 61 in SSSSSSSSS with a score of 0.99\r\n S at 62 in SSSSSSSSS with a score of 0.99\r\n S at 63 in SSSSSSSSS with a score of 0.99\r\n S at 64 in SSSSSSSSS with a score of 0.99\r\n S at 65 in SSSSSSSSS with a score of 0.99\r\n S at 66 in SSSSSSSSS with a score of 0.987\r\n S at 67 in SSSSSSSSG with a score of 0.993\r\n S at 68 in SSSSSSSGP with a score of 0.984\r\n S at 69 in SSSSSSGPG with a score of 0.977\r\n S at 70 in SSSSSGPGH with a score of 0.964\r\n S at 97 in EVVPSGESG with a score of 0.98\r\n S at 107 in RRRGSDPAS with a score of 0.985\r\n S at 111 in SDPASGEVE with a score of 0.986\r\n T at 20 in VHRETEDVD with a score of 0.937\r\n Y at 25 in EDVDYGETD with a score of 0.967\r\n Y at 45 in SQEQYERNK with a score of 0.982\r\n\r\nNetphos predictions for protein 'gi_18490993' (threshold score is 0.8):\r\n S at 7 in GDATSPEGE with a score of 0.997\r\n S at 22 in NRVHSPHKR with a score of 0.993\r\n S at 28 in HKRLSHRHL with a score of 0.997\r\n S at 41 in ASLTSVDPA with a score of 0.801\r\n S at 60 in LPDISISEE with a score of 0.959\r\n S at 62 in DISISEEDK with a score of 0.997\r\n S at 91 in RGRKSRSSP with a score of 0.997\r\n S at 93 in RKSRSSPGD with a score of 0.888\r\n S at 94 in KSRSSPGDS with a score of 0.999\r\n S at 98 in SPGDSPSAV with a score of 0.973\r\n S at 103 in PSAVSPNLS with a score of 0.931\r\n S at 107 in SPNLSPSAS with a score of 0.976\r\n S at 109 in NLSPSASPT with a score of 0.896\r\n S at 111 in SPSASPTSS with a score of 0.984\r\n S at 114 in ASPTSSRSN with a score of 0.99\r\n S at 115 in SPTSSRSNS with a score of 0.916\r\n S at 117 in TSSRSNSLT with a score of 0.83\r\n S at 119 in SRSNSLTVP with a score of 0.976\r\n S at 135 in ADVSSPHPG with a score of 0.965\r\n S at 159 in QRKVSQGRL with a score of 0.996\r\n S at 204 in VTNSSGKMA with a score of 0.971\r\n S at 238 in PLPRSPTQD with a score of 0.969\r\n S at 251 in GPPASQGRG with a score of 0.852\r\n S at 267 in PEAGSKAEL with a score of 0.935\r\n S at 285 in LRGLSWDSG with a score of 0.97\r\n S at 288 in LSWDSGPEE with a score of 0.927\r\n S at 388 in EEEESKSGL with a score of 0.984\r\n S at 390 in EESKSGLDV with a score of 0.965\r\n S at 444 in YTLESRINQ with a score of 0.823\r\n S at 505 in AARLSSRAE with a score of 0.972\r\n S at 506 in ARLSSRAEV with a score of 0.918\r\n S at 521 in EKRMSKATE with a score of 0.954\r\n S at 557 in NQNSSRSCG with a score of 0.935\r\n S at 559 in NSSRSCGPS with a score of 0.926\r\n S at 573 in RTARSMSLT with a score of 0.812\r\n S at 575 in ARSMSLTLG with a score of 0.983\r\n S at 588 in RRRVSVAVV with a score of 0.985\r\n S at 609 in PSSSSIPSL with a score of 0.921\r\n S at 676 in EEAYSKGFQ with a score of 0.941\r\n S at 701 in EEQKSESPE with a score of 0.986\r\n S at 703 in QKSESPEEP with a score of 0.998\r\n S at 722 in KGPRSSKLE with a score of 0.991\r\n S at 723 in GPRSSKLEE with a score of 0.993\r\n S at 768 in NSYNSCAEQ with a score of 0.912\r\n S at 789 in AQRDSWWSS with a score of 0.952\r\n T at 85 in ERFLTRRGR with a score of 0.978\r\n T at 193 in YPETTPKGL with a score of 0.995\r\n T at 420 in APPLTEKEV with a score of 0.981\r\n T at 460 in TEENTEKEL with a score of 0.982\r\n T at 604 in LPGQTPSSS with a score of 0.888\r\n T at 713 in EVEETEEEE with a score of 0.934\r\n Y at 440 in RNDSYTLES with a score of 0.837\r\n Y at 675 in EEEAYSKGF with a score of 0.933\r\n\r\nNetphos predictions for protein 'gi_19923457' (threshold score is 0.8):\r\n S at 63 in LEKLSSSRY with a score of 0.922\r\n S at 64 in EKLSSSRYQ with a score of 0.86\r\n S at 126 in PAVSSGGDV with a score of 0.896\r\n S at 182 in YRCYSFSSR with a score of 0.945\r\n S at 184 in CYSFSSRDP with a score of 0.983\r\n S at 210 in SVTPSRLPT with a score of 0.936\r\n S at 218 in TEPPSSVAE with a score of 0.811\r\n S at 219 in EPPSSVAEF with a score of 0.992\r\n S at 246 in ETSRSITTS with a score of 0.957\r\n S at 250 in SITTSPKES with a score of 0.998\r\n S at 254 in SPKESDSPA with a score of 0.979\r\n S at 256 in KESDSPAGE with a score of 0.986\r\n S at 326 in ITRGSGWRP with a score of 0.89\r\n S at 355 in PREGSWHGR with a score of 0.903\r\n S at 368 in WRVWSVEAG with a score of 0.954\r\n S at 387 in HAASSWCSI with a score of 0.958\r\n S at 390 in SSWCSIREP with a score of 0.951\r\n S at 411 in LRAPSIWDG with a score of 0.991\r\n S at 446 in LSSTSLIWA with a score of 0.87\r\n S at 464 in LRVDSVPSS with a score of 0.964\r\n S at 468 in SVPSSVQNP with a score of 0.967\r\n S at 506 in NLLSSLRTG with a score of 0.872\r\n T at 249 in RSITTSPKE with a score of 0.871\r\n Y at 67 in SSSRYQDQA with a score of 0.937\r\n Y at 189 in SRDPYLWSA with a score of 0.944\r\n\r\nNetphos predictions for protein 'gi_19923993' (threshold score is 0.8):\r\n S at 32 in AFLTSHKGI with a score of 0.921\r\n S at 151 in APGASQGDQ with a score of 0.984\r\n T at 114 in FAAVTSRDG with a score of 0.94\r\n\r\nNetphos predictions for protein 'gi_20557736' (threshold score is 0.8):\r\n S at 9 in DKYASEDAE with a score of 0.93\r\n S at 50 in FCEASAKDN with a score of 0.995\r\n\r\nNetphos predictions for protein 'gi_21040382' (threshold score is 0.8):\r\n S at 105 in YVQDSLEGE with a score of 0.929\r\n S at 146 in GLSASGSDW with a score of 0.958\r\n S at 250 in YVLLSIREG with a score of 0.996\r\n S at 308 in TNRQSPNYR with a score of 0.901\r\n S at 485 in TPNYSVSRL with a score of 0.871\r\n S at 544 in EGYTSPKRL with a score of 0.997\r\n S at 663 in IVGRSRKQS with a score of 0.803\r\n T at 14 in YRDETAVQD with a score of 0.89\r\n T at 426 in FREVTVKGI with a score of 0.886\r\n Y at 138 in EDGEYFAYG with a score of 0.909\r\n Y at 246 in DDGRYVLLS with a score of 0.833\r\n Y at 290 in FEGEYDYVT with a score of 0.973\r\n Y at 292 in GEYDYVTNE with a score of 0.962\r\n Y at 435 in DASDYQTVQ with a score of 0.915\r\n Y at 542 in IKEGYTSPK with a score of 0.967\r\n Y at 599 in WTTDYGCSD with a score of 0.829\r\n\r\nNetphos predictions for protein 'gi_21070997' (threshold score is 0.8):\r\n S at 26 in SLSHSHSEK with a score of 0.988\r\n S at 28 in SHSHSEKAT with a score of 0.995\r\n S at 40 in SGANSEEST with a score of 0.995\r\n S at 58 in PLCHSEDEK with a score of 0.856\r\n S at 64 in DEKLSFEAV with a score of 0.942\r\n S at 88 in DVEESDEFL with a score of 0.935\r\n S at 106 in TVKHSTFHG with a score of 0.936\r\n S at 116 in DKLISVEDL with a score of 0.994\r\n S at 160 in KLQLSGHAM with a score of 0.927\r\n S at 185 in MTDRSHRQK with a score of 0.913\r\n S at 237 in QNRYSKEHM with a score of 0.996\r\n S at 340 in ESHSSWYAP with a score of 0.906\r\n S at 399 in HVAHSSSLD with a score of 0.922\r\n S at 401 in AHSSSLDDV with a score of 0.934\r\n S at 489 in VSPLSMQSP with a score of 0.937\r\n S at 497 in PSLQSSVRQ with a score of 0.85\r\n S at 498 in SLQSSVRQR with a score of 0.803\r\n S at 512 in HGLGSQRDL with a score of 0.973\r\n S at 519 in DLTHSDSES with a score of 0.996\r\n S at 524 in DSESSLHMS with a score of 0.976\r\n S at 556 in TSNGSHRLI with a score of 0.903\r\n S at 567 in VHPGSLVEK with a score of 0.801\r\n S at 575 in KLPDSPALA with a score of 0.924\r\n S at 595 in DKAHSLMEL with a score of 0.981\r\n S at 600 in LMELSPSAP with a score of 0.876\r\n S at 613 in PHLDSSRSH with a score of 0.942\r\n S at 614 in HLDSSRSHS with a score of 0.873\r\n S at 616 in DSSRSHSPS with a score of 0.937\r\n S at 618 in SRSHSPSSP with a score of 0.998\r\n S at 620 in SHSPSSPDP with a score of 0.997\r\n S at 621 in HSPSSPDPD with a score of 0.992\r\n S at 628 in PDTPSPVGD with a score of 0.85\r\n S at 660 in EDNGSIGEE with a score of 0.955\r\n S at 668 in ETDSSPGRK with a score of 0.993\r\n T at 153 in QYEETFRKL with a score of 0.847\r\n T at 307 in LREGTENER with a score of 0.945\r\n T at 389 in KKRNTLFGT with a score of 0.946\r\n T at 411 in HKILTAKQA with a score of 0.855\r\n T at 517 in QRDLTHSDS with a score of 0.807\r\n T at 626 in PDPDTPSPV with a score of 0.956\r\n Y at 98 in EDLNYHDPT with a score of 0.957\r\n Y at 361 in VEVQYYNIK with a score of 0.887\r\n\r\nNetphos predictions for protein 'gi_21361456' (threshold score is 0.8):\r\n S at 14 in RRRRSWASL with a score of 0.997\r\n S at 52 in KRQRSIRPG with a score of 0.988\r\n S at 58 in RPGLSPYRA with a score of 0.993\r\n S at 129 in IARLSVSGR with a score of 0.987\r\n S at 131 in RLSVSGRDE with a score of 0.993\r\n S at 137 in RDENSVELT with a score of 0.894\r\n S at 187 in APRVSFSDK with a score of 0.997\r\n S at 189 in RVSFSDKVN with a score of 0.964\r\n S at 212 in SRQGSKDPA with a score of 0.99\r\n S at 256 in FKTHSDSKP with a score of 0.953\r\n S at 258 in THSDSKPYG with a score of 0.872\r\n S at 379 in VRWMSETGI with a score of 0.903\r\n S at 480 in ERLASKRRK with a score of 0.977\r\n S at 518 in TRDGSDYEG with a score of 0.996\r\n S at 613 in LRQRSGGME with a score of 0.991\r\n S at 841 in RVRRSSECM with a score of 0.997\r\n S at 842 in VRRSSECMK with a score of 0.998\r\n S at 888 in LRRFSFSGN with a score of 0.989\r\n S at 897 in TLVSSSADP with a score of 0.937\r\n S at 932 in QTKGSPESR with a score of 0.967\r\n S at 938 in ESRLSFQHD with a score of 0.967\r\n T at 152 in KIILTARPF with a score of 0.857\r\n T at 226 in QPEETPRDG with a score of 0.993\r\n T at 236 in KPEETQGKA with a score of 0.891\r\n T at 812 in HGPQTLYLP with a score of 0.842\r\n T at 830 in QRGGTIVPR with a score of 0.872\r\n Y at 147 in AEGPYKIIL with a score of 0.941\r\n Y at 318 in PMALYGSVP with a score of 0.824\r\n Y at 549 in NMFSYDNYE with a score of 0.805\r\n Y at 552 in SYDNYEGSA with a score of 0.907\r\n\r\nNetphos predictions for protein 'gi_21361591' (threshold score is 0.8):\r\n S at 32 in GSGESSGAS with a score of 0.892\r\n S at 33 in SGESSGASG with a score of 0.883\r\n S at 36 in SSGASGDKD with a score of 0.808\r\n S at 51 in CKPRSPKPA with a score of 0.995\r\n S at 63 in APPFSSSSG with a score of 0.822\r\n S at 101 in QFPSSKVAS with a score of 0.916\r\n S at 105 in SKVASGEQK with a score of 0.992\r\n S at 120 in KKRPSLPSS with a score of 0.995\r\n S at 124 in SLPSSPSPG with a score of 0.989\r\n S at 147 in RLMASLSDF with a score of 0.977\r\n S at 170 in PVVSSTNEG with a score of 0.899\r\n S at 175 in TNEGSPSPP with a score of 0.957\r\n S at 177 in EGSPSPPEP with a score of 0.988\r\n S at 199 in QSDLSRRGV with a score of 0.937\r\n S at 267 in FERFSPRCG with a score of 0.997\r\n S at 366 in FSGGSFFEH with a score of 0.816\r\n S at 386 in ARRGSLCAT with a score of 0.983\r\n T at 182 in PPEPTGKGS with a score of 0.954\r\n\r\nNetphos predictions for protein 'gi_21389339' (threshold score is 0.8):\r\n S at 52 in TGTESASEE with a score of 0.893\r\n S at 54 in TESASEEGD with a score of 0.996\r\n S at 70 in VPVKSYKTS with a score of 0.917\r\n S at 74 in SYKTSGKMK with a score of 0.975\r\n S at 110 in EQRPSLKEA with a score of 0.998\r\n S at 143 in KLKLSFEEM with a score of 0.996\r\n S at 187 in VDDDSPEMY with a score of 0.995\r\n S at 195 in YKTISQEFL with a score of 0.955\r\n S at 258 in TFGLSREYE with a score of 0.932\r\n S at 270 in KLKRSGSIQ with a score of 0.868\r\n S at 289 in IGQLSEKEI with a score of 0.995\r\n S at 333 in PARKSEAPF with a score of 0.962\r\n S at 422 in LKNTSVVDS with a score of 0.996\r\n T at 13 in QRKRTEEER with a score of 0.801\r\n T at 223 in EKRRTEEER with a score of 0.909\r\n T at 306 in ARRRTIDLE with a score of 0.955\r\n T at 407 in DEEQTRSGA with a score of 0.946\r\n T at 432 in PVRFTVKVT with a score of 0.983\r\n Y at 191 in SPEMYKTIS with a score of 0.848\r\n Y at 458 in DGEDYQYIE with a score of 0.948\r\n Y at 460 in EDYQYIERG with a score of 0.892\r\n Y at 482 in DGGEYMCKA with a score of 0.868\r\n\r\nNetphos predictions for protein 'gi_21707123' (threshold score is 0.8):\r\n S at 24 in RSLLSVFEE with a score of 0.995\r\n S at 224 in KRMDSFLSS with a score of 0.969\r\n S at 228 in SFLSSVADM with a score of 0.968\r\n S at 250 in KMRVSQQEL with a score of 0.989\r\n S at 256 in QELLSVDES with a score of 0.981\r\n S at 260 in SVDESVYTP with a score of 0.868\r\n S at 359 in LQAESRKEN with a score of 0.998\r\n S at 410 in KKQESSCPS with a score of 0.895\r\n S at 420 in NLKNSEMEN with a score of 0.983\r\n S at 436 in KVTASLPEA with a score of 0.96\r\n S at 468 in QNRGSRRTN with a score of 0.992\r\n S at 481 in TEDESFPEA with a score of 0.985\r\n S at 508 in VKTDSTTEV with a score of 0.957\r\n S at 585 in RVPESTGEE with a score of 0.996\r\n S at 598 in YIFESNSEG with a score of 0.974\r\n S at 600 in FESNSEGEK with a score of 0.967\r\n T at 128 in TEVSTLKDL with a score of 0.879\r\n T at 263 in ESVYTPDSD with a score of 0.865\r\n T at 477 in PFGETEDES with a score of 0.902\r\n T at 586 in VPESTGEES with a score of 0.915\r\n Y at 147 in SMAKYSRLP with a score of 0.939\r\n Y at 514 in TEVIYEAMR with a score of 0.929\r\n Y at 607 in EKICYAINL with a score of 0.821\r\n Y at 640 in NDGKYVLLN with a score of 0.959\r\n\r\nNetphos predictions for protein 'gi_21752646' (threshold score is 0.8):\r\n S at 15 in YIDSSWELR with a score of 0.901\r\n S at 40 in VTGESHIGG with a score of 0.965\r\n S at 132 in CRLLSIRHP with a score of 0.986\r\n S at 217 in LPRPSSLSD with a score of 0.98\r\n S at 218 in PRPSSLSDK with a score of 0.995\r\n S at 220 in PSSLSDKTQ with a score of 0.992\r\n S at 255 in FKYYSFFDL with a score of 0.98\r\n S at 307 in KLSQSGEVG with a score of 0.959\r\n S at 386 in SYYKSQDEA with a score of 0.851\r\n S at 424 in LLVPSPEGM with a score of 0.979\r\n S at 452 in CRLASKGRT with a score of 0.975\r\n S at 460 in TMADSSYTS with a score of 0.958\r\n S at 461 in MADSSYTSE with a score of 0.967\r\n S at 464 in SSYTSEVQP with a score of 0.926\r\n S at 561 in RFKGSRKDE with a score of 0.995\r\n S at 591 in TWRFSNMRQ with a score of 0.864\r\n S at 638 in YIFLSTRER with a score of 0.861\r\n T at 365 in PRKLTLKGY with a score of 0.968\r\n T at 517 in AKQLTPRIL with a score of 0.91\r\n Y at 11 in ASGDYIDSS with a score of 0.964\r\n Y at 162 in EEELYDLSK with a score of 0.975\r\n Y at 441 in DEQQYARWM with a score of 0.862\r\n\r\nNetphos predictions for protein 'gi_21756051' (threshold score is 0.8):\r\n T at 17 in WCSNTPFEL with a score of 0.941\r\n T at 27 in ATEETERRM with a score of 0.873\r\n T at 81 in CGKKTPHEV with a score of 0.954\r\n Y at 34 in RMDFYADPG with a score of 0.989\r\n\r\nNetphos predictions for protein 'gi_21758073' (threshold score is 0.8):\r\n S at 10 in QLASSEARD with a score of 0.986\r\n S at 73 in KSSFSSEHF with a score of 0.986\r\n S at 110 in SVDISYEHT with a score of 0.979\r\n\r\nNetphos predictions for protein 'gi_24308309' (threshold score is 0.8):\r\n S at 11 in IQRRSSQGP with a score of 0.905\r\n S at 12 in QRRSSQGPT with a score of 0.998\r\n S at 38 in APLSSPVRE with a score of 0.931\r\n S at 55 in QVRISESGQ with a score of 0.997\r\n T at 215 in GKVLTSRAL with a score of 0.885\r\n\r\nNetphos predictions for protein 'gi_28839495' (threshold score is 0.8):\r\n S at 78 in MHESSKRVS with a score of 0.827\r\n S at 82 in SKRVSETLQ with a score of 0.997\r\n S at 91 in EIYSSEWDG with a score of 0.884\r\n S at 225 in YREMSKLNH with a score of 0.812\r\n S at 243 in EKQHSNKVF with a score of 0.925\r\n S at 255 in GLSSSSRRS with a score of 0.976\r\n S at 256 in LSSSSRRSL with a score of 0.982\r\n S at 259 in SSRRSLVIS with a score of 0.99\r\n S at 273 in ATVSSPLTS with a score of 0.8\r\n S at 277 in SPLTSPTSP with a score of 0.983\r\n S at 280 in TSPTSPSTL with a score of 0.967\r\n S at 285 in PSTLSLKSE with a score of 0.975\r\n S at 288 in LSLKSESES with a score of 0.997\r\n S at 290 in LKSESESVS with a score of 0.952\r\n S at 292 in SESESVSAT with a score of 0.996\r\n S at 294 in SESVSATED with a score of 0.989\r\n S at 326 in EKEGSEASS with a score of 0.806\r\n S at 329 in GSEASSSEE with a score of 0.988\r\n S at 330 in SEASSSEED with a score of 0.998\r\n S at 331 in EASSSEEDE with a score of 0.998\r\n S at 349 in QAQPSPTTE with a score of 0.974\r\n S at 357 in ERAKSQEEV with a score of 0.998\r\n S at 365 in VLPSSTTPS with a score of 0.916\r\n S at 369 in STTPSPGGA with a score of 0.975\r\n S at 375 in GGALSPSGQ with a score of 0.985\r\n S at 381 in SGQPSSSAT with a score of 0.981\r\n S at 383 in QPSSSATEV with a score of 0.976\r\n S at 395 in TRTASEGSE with a score of 0.987\r\n S at 406 in KKRASIQRT with a score of 0.996\r\n S at 411 in IQRTSAPPS with a score of 0.979\r\n S at 415 in SAPPSRPPP with a score of 0.95\r\n S at 425 in RATASPRPS with a score of 0.979\r\n S at 429 in SPRPSSGNI with a score of 0.993\r\n S at 430 in PRPSSGNIP with a score of 0.86\r\n S at 436 in NIPSSPTAS with a score of 0.985\r\n S at 440 in SPTASGGGS with a score of 0.944\r\n S at 444 in SGGGSPTSP with a score of 0.981\r\n S at 447 in GSPTSPRAS with a score of 0.995\r\n S at 451 in SPRASLGTG with a score of 0.991\r\n S at 458 in TGTASPRTS with a score of 0.969\r\n S at 462 in SPRTSLEVS with a score of 0.996\r\n S at 466 in SLEVSPNPE with a score of 0.969\r\n S at 527 in NKLISADSS with a score of 0.894\r\n S at 530 in ISADSSEGQ with a score of 0.993\r\n S at 531 in SADSSEGQD with a score of 0.904\r\n S at 558 in QEEVSTSEN with a score of 0.995\r\n T at 38 in KAVETKDER with a score of 0.947\r\n T at 170 in DEAKTAKAE with a score of 0.883\r\n T at 182 in NKAQTVFED with a score of 0.954\r\n T at 352 in PSPTTERAK with a score of 0.961\r\n T at 367 in PSSTTPSPG with a score of 0.884\r\n T at 423 in PPRATASPR with a score of 0.867\r\n Y at 113 in LWEDYEEKL with a score of 0.851\r\n\r\nNetphos predictions for protein 'gi_28933465' (threshold score is 0.8):\r\n S at 15 in NPGPSGPQL with a score of 0.857\r\n S at 56 in TKQDSSKLQ with a score of 0.994\r\n S at 92 in PLPLSTSEQ with a score of 0.986\r\n S at 125 in QRRVSEKEK with a score of 0.998\r\n S at 131 in KEKESIARA with a score of 0.975\r\n S at 139 in ARAGSRLSA with a score of 0.984\r\n S at 142 in GSRLSAEER with a score of 0.996\r\n S at 157 in VSFDSHEEW with a score of 0.95\r\n S at 166 in NQMQSQEDE with a score of 0.987\r\n S at 218 in DLIDSIEAN with a score of 0.897\r\n S at 247 in YQKKSRKKM with a score of 0.978\r\n\r\nNetphos predictions for protein 'gi_29745994' (threshold score is 0.8):\r\n S at 70 in ATLYSTRDR with a score of 0.934\r\n S at 106 in DDPNSNLEE with a score of 0.93\r\n S at 192 in PQCGSGEDL with a score of 0.992\r\n S at 243 in HTRDSDIIE with a score of 0.992\r\n S at 298 in RMVQSQKSS with a score of 0.887\r\n S at 301 in QSQKSSSPL with a score of 0.902\r\n S at 303 in QKSSSPLSS with a score of 0.992\r\n S at 306 in SSPLSSTRS with a score of 0.995\r\n S at 307 in SPLSSTRSK with a score of 0.978\r\n S at 310 in SSTRSKRST with a score of 0.98\r\n S at 313 in RSKRSTLLP with a score of 0.863\r\n T at 67 in ERFATLYST with a score of 0.934\r\n T at 187 in DRALTPQCG with a score of 0.912\r\n T at 276 in TEQDTEKMK with a score of 0.857\r\n Y at 134 in LNTDYLDSD with a score of 0.951\r\n Y at 175 in QERWYVNLH with a score of 0.878\r\n Y at 197 in GEDLYILTG with a score of 0.973\r\n\r\nNetphos predictions for protein 'gi_30017467' (threshold score is 0.8):\r\n S at 25 in KDRRSGLIL with a score of 0.879\r\n S at 72 in DGRKSQWNV with a score of 0.838\r\n S at 172 in KESTSLLDE with a score of 0.995\r\n S at 233 in DGGVSWSPM with a score of 0.967\r\n S at 235 in GVSWSPMDD with a score of 0.994\r\n S at 253 in KLLDSLREQ with a score of 0.994\r\n S at 269 in CRQRSKRTQ with a score of 0.963\r\n S at 324 in ESQHSEWFA with a score of 0.955\r\n S at 368 in YRQASQLEF with a score of 0.979\r\n S at 550 in DVAQSTYDY with a score of 0.981\r\n S at 573 in LRCTSRSSG with a score of 0.99\r\n S at 575 in CTSRSSGDT with a score of 0.996\r\n S at 576 in TSRSSGDTL with a score of 0.959\r\n S at 661 in QYFGSPSDM with a score of 0.917\r\n S at 667 in SDMASTAEN with a score of 0.882\r\n T at 416 in SIQQTLKLL with a score of 0.826\r\n T at 572 in SLRCTSRSS with a score of 0.935\r\n\r\nNetphos predictions for protein 'gi_30151947' (threshold score is 0.8):\r\n S at 5 in MAARSWQDE with a score of 0.972\r\n S at 84 in KKRRSPPRK with a score of 0.998\r\n S at 123 in RKKLSEKPK with a score of 0.987\r\n S at 162 in KNEKSKKNK with a score of 0.994\r\n S at 169 in NKKKSKSDA with a score of 0.998\r\n S at 171 in KKSKSDAKA with a score of 0.982\r\n S at 180 in VQNSSRHDG with a score of 0.994\r\n S at 197 in ETKISHREK with a score of 0.971\r\n S at 262 in SNFKSGKGD with a score of 0.841\r\n S at 295 in VKLSSQISA with a score of 0.847\r\n S at 298 in SSQISAGEE with a score of 0.984\r\n S at 311 in VSPASAGKR with a score of 0.9\r\n S at 320 in KTEPSAWSQ with a score of 0.831\r\n S at 339 in DWGRSWSDR with a score of 0.992\r\n S at 357 in AEPVSQSTT with a score of 0.98\r\n S at 362 in QSTTSDYQW with a score of 0.981\r\n S at 411 in EERASLLKS with a score of 0.908\r\n S at 415 in SLLKSQEPI with a score of 0.962\r\n S at 426 in DQKVSDDDK with a score of 0.994\r\n S at 442 in PTGKSKKKK with a score of 0.894\r\n S at 489 in EKAFSLKTI with a score of 0.913\r\n S at 494 in LKTISTSDP with a score of 0.992\r\n S at 517 in PPATSTEPS with a score of 0.958\r\n S at 521 in STEPSVILS with a score of 0.897\r\n S at 525 in SVILSKSDS with a score of 0.996\r\n S at 527 in ILSKSDSDK with a score of 0.984\r\n S at 529 in SKSDSDKSS with a score of 0.995\r\n S at 532 in DSDKSSSQV with a score of 0.951\r\n S at 534 in DKSSSQVPP with a score of 0.929\r\n S at 546 in ETDKSKSNT with a score of 0.988\r\n S at 548 in DKSKSNTKQ with a score of 0.912\r\n S at 558 in SVPPSQTKS with a score of 0.959\r\n S at 562 in SQTKSETSW with a score of 0.856\r\n S at 565 in KSETSWESP with a score of 0.998\r\n S at 568 in TSWESPKQI with a score of 0.993\r\n T at 477 in LPVNTSKTR with a score of 0.813\r\n T at 495 in KTISTSDPA with a score of 0.911\r\n T at 560 in PPSQTKSET with a score of 0.982\r\n Y at 374 in RNQPYIDDE with a score of 0.88\r\n\r\nNetphos predictions for protein 'gi_4235275_' (threshold score is 0.8):\r\n S at 52 in GLFLSDDDP with a score of 0.866\r\n S at 105 in MVDDSKTVT with a score of 0.984\r\n S at 231 in SHPVSFDKA with a score of 0.821\r\n S at 290 in CGQMSEIEA with a score of 0.971\r\n S at 362 in RWAASPKSF with a score of 0.993\r\n S at 423 in MLEDSVSPK with a score of 0.902\r\n S at 425 in EDSVSPKKS with a score of 0.995\r\n S at 458 in RSGASGPEN with a score of 0.987\r\n S at 539 in KMDESKHEI with a score of 0.917\r\n S at 545 in HEIHSQVDA with a score of 0.993\r\n S at 658 in QIGESDTDP with a score of 0.979\r\n S at 712 in QCALSTSQL with a score of 0.969\r\n S at 815 in NIFSSMGDA with a score of 0.973\r\n S at 848 in AEGESDLEN with a score of 0.912\r\n S at 883 in AHPDSEEQQ with a score of 0.983\r\n S at 927 in QAAASATQT with a score of 0.927\r\n S at 945 in TPKASAGPQ with a score of 0.898\r\n S at 979 in AQPDSPSAQ with a score of 0.936\r\n S at 1055 in DSALSVVQN with a score of 0.911\r\n S at 1100 in KAVSSAIAQ with a score of 0.873\r\n S at 1164 in DKASSLIEE with a score of 0.98\r\n S at 1271 in LARASGRFG with a score of 0.984\r\n S at 1294 in GQAPSQEDR with a score of 0.993\r\n S at 1513 in CRLASARTT with a score of 0.811\r\n S at 1528 in QFVQSAKEV with a score of 0.989\r\n S at 1535 in EVANSTANL with a score of 0.815\r\n S at 1589 in PAQISPEGR with a score of 0.977\r\n S at 1629 in RDPPSWSVL with a score of 0.907\r\n S at 1643 in TVSDSIKKL with a score of 0.994\r\n S at 1650 in KLITSMRDK with a score of 0.995\r\n S at 1694 in REGISQEAL with a score of 0.936\r\n S at 1878 in KSNTSPEEL with a score of 0.998\r\n S at 1940 in ALQCSPSDA with a score of 0.986\r\n S at 1958 in ARRVSEKVS with a score of 0.997\r\n S at 2040 in NAAGSQEKL with a score of 0.894\r\n S at 2068 in LGAASLGAE with a score of 0.856\r\n S at 2170 in PAKTSTPED with a score of 0.962\r\n S at 2262 in LQKPSPELK with a score of 0.944\r\n S at 2279 in RVAGSVTEL with a score of 0.988\r\n T at 144 in EITGTLRKD with a score of 0.931\r\n T at 179 in DHGRTLREQ with a score of 0.899\r\n T at 382 in YSVQTTEGE with a score of 0.904\r\n T at 941 in HAASTPKAS with a score of 0.986\r\n T at 1142 in VAALTSDPA with a score of 0.945\r\n T at 1263 in ASRGTPQDL with a score of 0.954\r\n T at 1372 in RELETVREL with a score of 0.971\r\n T at 1813 in DLTTTLNEA with a score of 0.84\r\n T at 1856 in DYQTTMVRT with a score of 0.852\r\n T at 1946 in SDAYTKKEL with a score of 0.912\r\n T at 2169 in PPAKTSTPE with a score of 0.897\r\n T at 2171 in AKTSTPEDF with a score of 0.871\r\n Y at 298 in AKVRYVKLA with a score of 0.9\r\n Y at 373 in DFGDYQDGY with a score of 0.914\r\n Y at 377 in YQDGYYSVQ with a score of 0.936\r\n Y at 570 in AETDYTAVG with a score of 0.989\r\n Y at 1116 in GNENYAGIA with a score of 0.9\r\n Y at 1945 in PSDAYTKKE with a score of 0.851\r\n\r\nNetphos predictions for protein 'gi_4507943_' (threshold score is 0.8):\r\n S at 160 in ASRTSESLC with a score of 0.817\r\n S at 175 in LKLLSEEVF with a score of 0.975\r\n S at 197 in HLKDSMCNE with a score of 0.952\r\n S at 264 in FRNVSLKCL with a score of 0.984\r\n S at 277 in GVSVSQYEE with a score of 0.95\r\n S at 384 in LYRESPFST with a score of 0.961\r\n S at 387 in ESPFSTSAS with a score of 0.995\r\n S at 764 in SGWVSRSND with a score of 0.901\r\n S at 1055 in KRQMSVPGI with a score of 0.923\r\n T at 65 in TRVDTILEF with a score of 0.959\r\n T at 346 in NLRETLMEA with a score of 0.939\r\n T at 472 in DYVDTERIM with a score of 0.883\r\n T at 477 in ERIMTEKLH with a score of 0.945\r\n T at 750 in RSMRTVKRE with a score of 0.875\r\n T at 1030 in AGEDTSDLF with a score of 0.909\r\n Y at 454 in SINLYKNMR with a score of 0.802\r\n Y at 469 in THLDYVDTE with a score of 0.934\r\n\r\nNetphos predictions for protein 'gi_4759082_' (threshold score is 0.8):\r\n S at 16 in QHPGSDMRQ with a score of 0.984\r\n S at 24 in QEKPSSPSP with a score of 0.905\r\n S at 25 in EKPSSPSPM with a score of 0.989\r\n S at 27 in PSSPSPMPS with a score of 0.984\r\n S at 35 in SSTPSPSLN with a score of 0.926\r\n S at 51 in IRDNSQVNA with a score of 0.983\r\n S at 85 in QRQISLEGS with a score of 0.996\r\n S at 89 in SLEGSVKGI with a score of 0.944\r\n S at 106 in KYQASTSNT with a score of 0.933\r\n S at 118 in LLEKSRKVS with a score of 0.964\r\n S at 122 in SRKVSAHTR with a score of 0.943\r\n S at 192 in DENKSLEET with a score of 0.997\r\n S at 203 in TVDLSSDDD with a score of 0.961\r\n S at 204 in VDLSSDDDL with a score of 0.996\r\n S at 218 in ALEDSAEEK with a score of 0.986\r\n S at 226 in KVEESRAEK with a score of 0.87\r\n S at 235 in IKRSSLKKV with a score of 0.997\r\n S at 241 in KKVDSLKKA with a score of 0.986\r\n S at 247 in KKAFSRQNI with a score of 0.846\r\n S at 264 in TKIVSVERR with a score of 0.988\r\n S at 284 in QKISSGKSS with a score of 0.977\r\n S at 287 in SSGKSSPFK with a score of 0.821\r\n S at 288 in SGKSSPFKV with a score of 0.876\r\n S at 307 in REGESHAEN with a score of 0.973\r\n S at 320 in EDLPSSEQM with a score of 0.956\r\n S at 332 in QEEESFAEG with a score of 0.965\r\n S at 361 in EKATSRGSN with a score of 0.98\r\n S at 364 in TSRGSNSGM with a score of 0.99\r\n S at 366 in RGSNSGMDS with a score of 0.985\r\n S at 370 in SGMDSNIDL with a score of 0.918\r\n S at 403 in YALTSEEAE with a score of 0.989\r\n S at 409 in EAERSDGDP with a score of 0.993\r\n T at 375 in NIDLTIVED with a score of 0.813\r\n T at 402 in SYALTSEEA with a score of 0.93\r\n Y at 399 in YEGSYALTS with a score of 0.897\r\n\r\nNetphos predictions for protein 'gi_486669_p' (threshold score is 0.8):\r\n S at 12 in NEPLSNEDR with a score of 0.984\r\n S at 33 in ARRSSWRVI with a score of 0.997\r\n S at 38 in WRVISSIEQ with a score of 0.992\r\n S at 119 in EKKTSVVEA with a score of 0.995\r\n S at 189 in LNEDSYKDS with a score of 0.998\r\n Y at 91 in NDFQYESKV with a score of 0.877\r\n Y at 128 in SEAAYKEAF with a score of 0.86\r\n Y at 190 in NEDSYKDST with a score of 0.992\r\n\r\nNetphos predictions for protein 'gi_5453704_' (threshold score is 0.8):\r\n S at 18 in FFPGSDRFA with a score of 0.81\r\n S at 30 in FRDISKWNN with a score of 0.92\r\n Y at 42 in SNLLYYQTN with a score of 0.831\r\n\r\nNetphos predictions for protein 'gi_5453998_' (threshold score is 0.8):\r\n S at 102 in AIIHSPELI with a score of 0.859\r\n S at 277 in ERYGSPGNV with a score of 0.988\r\n S at 282 in PGNVSKEYN with a score of 0.953\r\n S at 570 in ICEYSEEVT with a score of 0.92\r\n S at 620 in DTLLSVVED with a score of 0.957\r\n S at 661 in SLAHSLTCQ with a score of 0.826\r\n S at 776 in EVKTSELRT with a score of 0.981\r\n S at 886 in HENDSDDDD with a score of 0.996\r\n S at 903 in EELGSDEDD with a score of 0.997\r\n T at 553 in IIRETENDD with a score of 0.824\r\n Y at 316 in KEKQYMAPR with a score of 0.842\r\n Y at 373 in QEDPYEYIR with a score of 0.985\r\n Y at 471 in SELGYMRAR with a score of 0.969\r\n Y at 714 in SDTKYLEMI with a score of 0.967\r\n Y at 959 in PVDEYQIFK with a score of 0.81\r\n\r\nNetphos predictions for protein 'gi_5729808_' (threshold score is 0.8):\r\n S at 99 in FRNASEDDV with a score of 0.98\r\n S at 129 in VQSDSFEAA with a score of 0.917\r\n S at 205 in HGRWSVIVI with a score of 0.948\r\n S at 227 in YLQASAGEN with a score of 0.888\r\n S at 302 in NNYRSPIST with a score of 0.976\r\n S at 305 in RSPISTGQP with a score of 0.839\r\n S at 313 in PTNQSMDDT with a score of 0.984\r\n T at 239 in VMRLTVAEG with a score of 0.915\r\n T at 293 in ESWDTQKAP with a score of 0.919\r\n Y at 111 in SCSLYTYPQ with a score of 0.849\r\n Y at 322 in REDIYVNYP with a score of 0.993\r\n\r\nNetphos predictions for protein 'gi_5803040_' (threshold score is 0.8):\r\n S at 86 in LVSESRKAD with a score of 0.869\r\n S at 157 in DIKESIETM with a score of 0.918\r\n Y at 60 in LETEYQVIG with a score of 0.945\r\n\r\nNetphos predictions for protein 'gi_5902140_' (threshold score is 0.8):\r\n S at 13 in TRGPSLGWL with a score of 0.936\r\n S at 32 in RDAYSHSSS with a score of 0.87\r\n S at 34 in AYSHSSSEN with a score of 0.902\r\n S at 35 in YSHSSSENG with a score of 0.98\r\n S at 36 in SHSSSENGG with a score of 0.92\r\n S at 76 in KWLTSPVRR with a score of 0.84\r\n S at 83 in RRLNSGKAD with a score of 0.985\r\n S at 102 in DGRKSFDLG with a score of 0.985\r\n S at 107 in FDLGSPKPG with a score of 0.992\r\n S at 120 in PQGDSADEK with a score of 0.956\r\n S at 125 in ADEKSKKGW with a score of 0.976\r\n S at 169 in ARQASTEVP with a score of 0.99\r\n S at 191 in KNKLSLEGS with a score of 0.936\r\n S at 196 in LEGSSYRGS with a score of 0.978\r\n S at 200 in SYRGSLKDP with a score of 0.997\r\n S at 380 in FLRYSEKAG with a score of 0.993\r\n S at 477 in MFKRSIKMN with a score of 0.924\r\n S at 504 in NRETSERVV with a score of 0.984\r\n S at 565 in LPQASPRPY with a score of 0.986\r\n S at 570 in PRPYSSVPA with a score of 0.888\r\n S at 576 in VPAGSEKPP with a score of 0.993\r\n S at 583 in PPKGSSYNP with a score of 0.891\r\n S at 600 in TSNGSPGFE with a score of 0.97\r\n S at 672 in ASDHSPAAE with a score of 0.953\r\n S at 696 in AAESSDGSI with a score of 0.841\r\n S at 699 in SSDGSIKKS with a score of 0.992\r\n S at 703 in SIKKSCSWH with a score of 0.87\r\n S at 705 in KKSCSWHTL with a score of 0.934\r\n S at 740 in GNKVSVKET with a score of 0.968\r\n S at 746 in KETNSSEES with a score of 0.996\r\n S at 747 in ETNSSEESE with a score of 0.992\r\n S at 750 in SSEESECDD with a score of 0.993\r\n S at 828 in YTVSSCDSG with a score of 0.889\r\n S at 831 in SSCDSGEIT with a score of 0.888\r\n S at 861 in HGTTSTSAT with a score of 0.961\r\n S at 924 in QSVASTLDT with a score of 0.988\r\n S at 936 in IEDLSPGCP with a score of 0.902\r\n S at 946 in QFRVSASNP with a score of 0.954\r\n S at 978 in GATISWKEN with a score of 0.994\r\n S at 999 in RGRFSIVKK with a score of 0.93\r\n S at 1019 in VKFVSKKMK with a score of 0.957\r\n S at 1187 in FLDESKEET with a score of 0.996\r\n T at 9 in DRAYTRGPS with a score of 0.845\r\n T at 69 in RSTNTLKKW with a score of 0.92\r\n T at 115 in GDETTPQGD with a score of 0.852\r\n T at 170 in RQASTEVPT with a score of 0.887\r\n T at 243 in ELVQTEKDY with a score of 0.942\r\n T at 354 in NQRLTLSDF with a score of 0.888\r\n T at 530 in QVLETQRDF with a score of 0.806\r\n T at 720 in EVENTGKNE with a score of 0.908\r\n T at 806 in KPTITWKGP with a score of 0.808\r\n T at 1255 in IPLDTSRLA with a score of 0.973\r\n Y at 247 in TEKDYVKDL with a score of 0.924\r\n Y at 569 in SPRPYSSVP with a score of 0.812\r\n Y at 605 in PGFEYHQPG with a score of 0.822\r\n Y at 849 in DSGIYTCIA with a score of 0.916\r\n Y at 987 in FDSAYTELN with a score of 0.925\r\n Y at 1050 in LHDTYESPT with a score of 0.873\r\n Y at 1248 in HNGSYSKIP with a score of 0.852\r\n\r\nNetphos predictions for protein 'gi_7656922_' (threshold score is 0.8):\r\n S at 174 in ELGLSLTDE with a score of 0.984\r\n T at 10 in GRRKTPEEL with a score of 0.996\r\n\r\nNetphos predictions for protein 'gi_7661968_' (threshold score is 0.8):\r\n S at 100 in RVVTSAREH with a score of 0.992\r\n S at 110 in YDLRSLENY with a score of 0.962\r\n S at 166 in VSSDSVGGF with a score of 0.985\r\n S at 173 in GFRYSERYD with a score of 0.968\r\n S at 182 in PEPKSKWDE with a score of 0.995\r\n S at 198 in AFPFSDKLG with a score of 0.969\r\n S at 205 in LGELSDKIG with a score of 0.859\r\n S at 210 in DKIGSTIDD with a score of 0.991\r\n S at 227 in DREDSPERC with a score of 0.997\r\n S at 232 in PERCSDSDE with a score of 0.997\r\n S at 234 in RCSDSDEEK with a score of 0.996\r\n S at 245 in RRGRSPKGE with a score of 0.998\r\n S at 299 in GDKASPDQN with a score of 0.974\r\n S at 311 in HTPQSSVKT with a score of 0.918\r\n S at 312 in TPQSSVKTS with a score of 0.936\r\n S at 316 in SVKTSVPSS with a score of 0.979\r\n S at 319 in TSVPSSKSS with a score of 0.993\r\n S at 320 in SVPSSKSSG with a score of 0.996\r\n S at 322 in PSSKSSGDL with a score of 0.993\r\n S at 356 in SAAASGSFP with a score of 0.871\r\n S at 388 in GPVASSGEF with a score of 0.854\r\n S at 389 in PVASSGEFF with a score of 0.914\r\n S at 468 in MVQKSVSKT with a score of 0.969\r\n T at 32 in VREATNDDP with a score of 0.941\r\n T at 99 in ERVVTSARE with a score of 0.824\r\n T at 272 in TETTTTRHK with a score of 0.897\r\n Y at 159 in NKDKYVGVS with a score of 0.987\r\n\r\nNetphos predictions for protein 'gi_8923370_' (threshold score is 0.8):\r\n S at 104 in TKVKSSDFY with a score of 0.891\r\n S at 132 in HDRTSAEIA with a score of 0.996\r\n S at 163 in KRQESQLRK with a score of 0.989\r\n T at 11 in YSPTTEEDP with a score of 0.864\r\n T at 99 in ERVDTTKVK with a score of 0.992\r\n T at 100 in RVDTTKVKS with a score of 0.812\r\n T at 127 in IFVSTHDRT with a score of 0.803\r\n T at 171 in KPENTTRAE with a score of 0.984\r\n Y at 94 in CTPFYERVD with a score of 0.916\r\n Y at 108 in SSDFYITLG with a score of 0.968\r\n\r\nNetphos predictions for protein 'gi_9885433_' (threshold score is 0.8):\r\n S at 26 in AEKDSKAEQ with a score of 0.988\r\n S at 67 in LRMASRVDA with a score of 0.963\r\n S at 101 in DKALSTMDL with a score of 0.982\r\n S at 110 in QKVSSVMDR with a score of 0.985\r\n S at 127 in DVHTSVMED with a score of 0.815\r\n S at 179 in VGESSVRSQ with a score of 0.986\r\n S at 182 in SSVRSQEDQ with a score of 0.998\r\n\r\n"}
| 2022-12-01T00:00:00 |
text
| 32 |
5,0,NetworkStatus
5,1,NetworkStatus
0,4,NetworkStatus
4,4,NetworkStatus
6,4,NetworkStatus
|
ff7c84e25f543e953f6e8f03829e40bfea3dba96
|
2023-03-17T10:14:40.542756
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8333333333, "avg_line_length": 15, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "adf3a2f209a774fa5d8851e581cc6ecf347c0c25", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "mehedi-iitdu/MobiCoMonkey", "max_forks_repo_path": "test/networkstatus.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "adf3a2f209a774fa5d8851e581cc6ecf347c0c25", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "mehedi-iitdu/MobiCoMonkey", "max_issues_repo_path": "test/networkstatus.txt", "max_line_length": 17, "max_stars_count": 2, "max_stars_repo_head_hexsha": "adf3a2f209a774fa5d8851e581cc6ecf347c0c25", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "mehedi-iitdu/MobiCoMonkey", "max_stars_repo_path": "test/networkstatus.txt", "max_stars_repo_stars_event_max_datetime": "2018-10-09T05:46:28.000Z", "max_stars_repo_stars_event_min_datetime": "2018-01-21T09:07:45.000Z", "size": 90}
| 2022-12-01T00:00:00 |
text
| 8,123 |
<VeWtiFuL> yea but now i started a garden center out of my driveway
Login
Username: __________
Password: __________
Login
[1]Forgot your password?
[2]Register for a Login
Mud Logs
[3]Recent Logs
[4]Older Logs
[5]Newer Logs
[6]Top Rated Logs
[7]Most Viewed Logs
[8]Upload A Log
[9]Log Collections
[10]Log Quicklist
Mud Links
[11]Arcticmud Blog!
[12]Xanitha's Mud Log Page
[13]RGB Mud Log Page
[14]Lasse's Logs (not current)
[15]Oligo's Logs (not current)
[16]Arctic Mud Forums
[17]Arctic Mud Homepage
[18]Vote for Arctic
on Top Mud Sites
What is the worst change this wipe?
(*) hp gain randomness
( ) +heal items
( ) every high level zone bugged
( ) road shortening
( ) rolling system
( ) nosummon items
( ) all of the above
Vote Results
[19]Submit a Poll
[20]List Previous Polls
Calen rips
POV:
Log Rating: 0.0000
Calen is a renshai multi, only evil on so we just HAD to kill it
265H 116V 3644024X 406C Exits:D> You tell your group 'spam'
265H 116V 3644024X 406C Exits:D>
d
Calen arrives from above.
The Ebullient Elephant Inn
Calen the Male Human is standing here.
Floyd, the barkeep, idly whistles a merry tune while polishing the bar.
265H 115V 3644024X 406C Exits:NU>
n
Calen arrives from the south.
Sword Street
Calen the Male Human is standing here.
Rannos Redneck, Shining Force's Countryboy is standing here. (flying)
Tokin Remme, Risin' to the Street is standing here. (flying)
265H 114V 3644024X 406C Exits:ESW>
Frederic slowly fades into existence.
Frederic comes out of hiding.
Frederic gives his dagger a quick thrust and twist, as he strikes Calen
in the back with it.
265H 114V 3644024X 406C Exits:ESW>
Tokin focuses harshly on Calen and utters some strange words.
265H 114V 3644024X 406C Exits:ESW>
Rannos crashes into Calen in a thundering collision, knocking him to
the ground!
265H 114V 3644024X 406C Exits:ESW>
cast 'harm' calen
You utter the words, 'harm'
You grab Calen, who screams in pain.
265H 114V 3644024X 406C Mem:4 Exits:ESW>
cast 'harm' calen
Rannos massacres Calen with his cleave.
Frederic massacres Calen with his pierce.
Frederic pierces Calen extremely hard.
Calen slashes Frederic hard.
265H 114V 3644024X 406C Mem:4 Exits:ESW>
get all calen
Tokin focuses harshly on Calen and utters some strange words.
Tokin sends a chilling blast of air at Calen, giving him a severe case
of frostbite.
265H 114V 3644024X 406C Mem:4 Exits:ESW>
Frederic tells your group 'bash again'
265H 114V 3644024X 406C Mem:4 Exits:ESW> You utter the words, 'harm'
You grab Calen, who screams in pain.
265H 114V 3644024X 406C Mem:6 Exits:ESW>
Frederic tells your group 'bash again'
265H 114V 3644024X 406C Mem:6 Exits:ESW>
Frederic tells your group 'bash again'
265H 114V 3644024X 406C Mem:6 Exits:ESW>
Rannos massacres Calen with his cleave.
Frederic massacres Calen with his pierce.
Calen is mortally wounded, and will die soon, if not aided.
Frederic annihilates Calen with his pierce.
You receive 0 experience.
Calen is dead! R.I.P.
The death cry of Calen echoes from somewhere nearby...
Calen stops following you.
265H 114V 3644024X 406C Mem:6 Exits:ESW>
Frederic gets a basket hilted long sword from the corpse of Calen.
Frederic gets a mithril solamnic bracer from the corpse of Calen.
Frederic gets a fine silk belt-pouch from the corpse of Calen.
Frederic gets a large bronze shield from the corpse of Calen.
Frederic gets a pair of dwarven arm plates from the corpse of Calen.
Frederic gets a pair of ergothian battle gauntlets from the corpse of
Calen.
Frederic gets a set of thick green leather boots from the corpse of
Calen.
Frederic gets a suit of aquatic armor from the corpse of Calen.
Frederic gets a very large pile of coins from the corpse of Calen.
Frederic gets a glowing scroll of recall from the corpse of Calen.
Frederic gets a small wooden chest from the corpse of Calen.
Frederic gets a small wooden chest from the corpse of Calen.
265H 114V 3644024X 406C Mem:6 Exits:ESW>
Frederic says 'hahahah'
Vote On This Log ( ) ( ) ( ) ( ) ( ) (*) ( ) ( ) ( ) ( ) ( )
-5 -4 -3 -2 -1 0 1 2 3 4 5
Vote
Hated It
Loved It
References
1. file:///index.php?option=forgot
2. file:///index.php?option=register
3. file:///index.php?option=recentlogs
4. file:///index.php?option=recentlogs&lognbr=10
5. file:///index.php?option=recentlogs&lognbr=0
6. file:///index.php?option=toplogs
7. file:///index.php?option=mostviewedlogs
8. file:///index.php?option=uploadlog
9. file:///index.php?option=collections
10. file:///index.php?option=quicklist
11. http://arcticmud.blogspot.com/
12. http://mudlogs.foghaven.net/
13. http://pollux.ldz.lv/~punk/upload/index.php
14. http://tirannon.tky.hut.fi/arctic/
15. http://normstorm.com/template/m-news.html
16. http://mud.arctic.org/forum/
17. http://mud.arctic.org/
18. http://www.topmudsites.com/cgi-bin/topmuds/rankem.cgi?id=just
19. file:///index.php?option=poll&action=new
20. file:///index.php?option=poll&action=listpolls
|
83e5e541d918697832fa37ed9590532f1ef2bea3
|
2023-03-17T10:02:50.790385
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.763029316, "avg_line_length": 31.4871794872, "ext": "txt", "max_forks_count": 4, "max_forks_repo_forks_event_max_datetime": "2021-12-13T05:12:12.000Z", "max_forks_repo_forks_event_min_datetime": "2020-05-23T15:53:29.000Z", "max_forks_repo_head_hexsha": "7f5c89047aa133e464b3781f52f4898b86c2a1d9", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "gxed/arctic-logs-webservice", "max_forks_repo_path": "logs/log182.txt", "max_issues_count": 1, "max_issues_repo_head_hexsha": "7f5c89047aa133e464b3781f52f4898b86c2a1d9", "max_issues_repo_issues_event_max_datetime": "2020-06-01T00:53:00.000Z", "max_issues_repo_issues_event_min_datetime": "2020-06-01T00:53:00.000Z", "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "gxed/arctic-logs-webservice", "max_issues_repo_path": "logs/log182.txt", "max_line_length": 71, "max_stars_count": null, "max_stars_repo_head_hexsha": "7f5c89047aa133e464b3781f52f4898b86c2a1d9", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "gxed/arctic-logs-webservice", "max_stars_repo_path": "logs/log182.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 4912}
| 2022-12-01T00:00:00 |
text
| 8,124 |
bodyID Interval Motion
72057594037930607 [0, 64] 0.211841
72057594037930625 [0, 64] 0.245538
Actor1 Interval Motion
72057594037930625 [0, 64] 0.245538
Actor2 Interval Motion
72057594037930607 [0, 64] 0.211841
|
1c0e9d505ea6640a7ff4c462488989ec453e8b22
|
2023-03-17T10:08:39.470052
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.65625, "avg_line_length": 21.3333333333, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "c59c1efd92e97fdf41ef9610c5049dd66d640d36", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "Hao-Quan/research_SGN", "max_forks_repo_path": "data/ntu/denoised_data/actors_info/S004C001P008R002A054.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "c59c1efd92e97fdf41ef9610c5049dd66d640d36", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "Hao-Quan/research_SGN", "max_issues_repo_path": "data/ntu/denoised_data/actors_info/S004C001P008R002A054.txt", "max_line_length": 35, "max_stars_count": 1, "max_stars_repo_head_hexsha": "c59c1efd92e97fdf41ef9610c5049dd66d640d36", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "Hao-Quan/research_SGN", "max_stars_repo_path": "data/ntu/denoised_data/actors_info/S004C001P008R002A054.txt", "max_stars_repo_stars_event_max_datetime": "2021-08-10T08:49:15.000Z", "max_stars_repo_stars_event_min_datetime": "2021-08-10T08:49:15.000Z", "size": 256}
| 2022-12-01T00:00:00 |
text
| 8,125 |
1.444893
3.492310
4.701978
-3.308752
2.680107
-0.829788
1.189975
0.768594
0.989361
2.859877
8.335913
-1.236137
-0.711981
-0.045701
4.233226
9.320493
5.988653
7.914432
6.728360
6.064367
2.107517
9.575063
6.808476
4.763734
5.776819
4.225230
9.004327
3.082592
2.960531
4.114045
12.202161
11.238206
10.624680
8.102891
7.316666
13.455175
5.488503
7.976540
12.723584
6.765374
5.049929
13.090824
7.152429
10.049906
11.188039
5.386367
12.255668
10.896946
14.683121
9.580368
7.243736
14.286920
14.670091
9.535128
8.529733
14.769030
5.951147
8.701944
14.130103
12.416918
14.375932
5.363287
6.120376
11.457358
5.253175
6.362857
6.871040
5.611726
6.876762
11.913354
5.101916
5.583184
8.914472
4.617116
8.306645
6.213043
4.358312
6.488131
9.327682
8.363722
4.349628
4.656795
4.711452
1.276370
8.942717
3.734005
1.948844
-0.497596
2.120171
8.084824
3.944166
6.987581
0.295713
-2.346932
-1.799743
-0.362411
1.289676
1.894121
-1.276699
4.562979
2.433619
-0.319262
0.450803
2.158158
2.768899
-5.090977
-2.639140
-5.425049
-7.035561
-2.314916
-4.653126
-4.772268
-0.698544
-6.753220
-8.377188
-3.391408
-5.643645
-7.211793
-2.549644
-8.894097
-2.485480
-8.052727
-4.395679
-10.752701
-2.926136
-11.155193
-5.543770
-5.629537
-5.335632
-10.738510
-5.170500
-12.884818
-9.146985
-5.699260
-8.119071
-13.973381
-8.979670
-12.108271
-7.977275
-8.804651
-11.130152
-7.218711
-13.832655
-4.917222
-7.780810
-8.154476
-11.070978
-6.601443
-14.504284
-6.038772
-14.940437
-9.458591
-14.547205
-6.778774
-14.453390
-7.658313
-6.656342
-10.119494
-10.348722
-10.363471
-10.017410
-14.205863
-6.051778
-12.948604
-4.446318
-9.387847
-6.490487
-11.621400
-10.229733
-3.461006
-5.838670
-3.274301
-12.343064
-4.993328
-4.035639
-7.278881
-10.473476
-1.554788
-5.579970
-7.295930
-1.260229
-0.388170
-8.980932
-9.235657
-2.717159
-8.225742
-7.148955
-7.348272
-3.955736
-4.809136
-4.095550
-2.060447
0.565557
-5.894794
-5.764673
3.617497
-0.208678
1.686729
4.539165
-2.566854
|
bb93ab294587e24b2306ad3d13deb31c4f795ca9
|
2023-03-17T09:57:48.740367
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6725746269, "avg_line_length": 10.6666666667, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "29fdc3e354efcde68be161132ab1a12c0beb8934", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "ECE1747Project2016/final", "max_forks_repo_path": "data/signal5/signal6367.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "29fdc3e354efcde68be161132ab1a12c0beb8934", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "ECE1747Project2016/final", "max_issues_repo_path": "data/signal5/signal6367.txt", "max_line_length": 11, "max_stars_count": null, "max_stars_repo_head_hexsha": "29fdc3e354efcde68be161132ab1a12c0beb8934", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "ECE1747Project2016/final", "max_stars_repo_path": "data/signal5/signal6367.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 2144}
| 2022-12-01T00:00:00 |
text
| 8,126 |
cmake_minimum_required(VERSION 2.8)
project(IocContainer)
set(OUTPUTNAME IocContainer)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -g -O2 -std=c++11")
aux_source_directory(. DIR_SRCS)
add_executable(${OUTPUTNAME} ${DIR_SRCS})
|
d79f522d677e449d817ff16658ccfe7737be4820
|
2023-03-17T10:08:39.470052
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7801724138, "avg_line_length": 21.0909090909, "ext": "txt", "max_forks_count": 42, "max_forks_repo_forks_event_max_datetime": "2022-03-07T05:54:50.000Z", "max_forks_repo_forks_event_min_datetime": "2020-03-24T14:29:17.000Z", "max_forks_repo_head_hexsha": "be2fd3401030e3e75e135cc6f4b829c9e1a1f635", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "pj520/samples", "max_forks_repo_path": "Ioc/CMakeLists.txt", "max_issues_count": 2, "max_issues_repo_head_hexsha": "be2fd3401030e3e75e135cc6f4b829c9e1a1f635", "max_issues_repo_issues_event_max_datetime": "2018-02-13T02:32:49.000Z", "max_issues_repo_issues_event_min_datetime": "2017-07-11T06:46:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "pj520/samples", "max_issues_repo_path": "Ioc/CMakeLists.txt", "max_line_length": 65, "max_stars_count": 80, "max_stars_repo_head_hexsha": "be2fd3401030e3e75e135cc6f4b829c9e1a1f635", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "pj520/samples", "max_stars_repo_path": "Ioc/CMakeLists.txt", "max_stars_repo_stars_event_max_datetime": "2020-02-09T07:58:04.000Z", "max_stars_repo_stars_event_min_datetime": "2016-05-05T12:50:27.000Z", "size": 232}
| 2022-12-01T00:00:00 |
text
| 8,127 |
Header
======
Paragraph 1
Subheader 1
-----------
This text was missing in the generated document.
Sub-subheader 1
~~~~~~~~~~~~~~~
Some text...
Subheader 2
-----------
More text...
|
bf9e0f957faa7d7f31f23c9afad35391c0fd2a89
|
2023-03-17T10:34:24.476483
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.5555555556, "avg_line_length": 9, "ext": "txt", "max_forks_count": 5, "max_forks_repo_forks_event_max_datetime": "2020-11-06T11:01:55.000Z", "max_forks_repo_forks_event_min_datetime": "2015-03-27T09:54:20.000Z", "max_forks_repo_head_hexsha": "b7dfcc0ecb7a4f4b300b877bd5a32e1669f76dc6", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "UnityEG/validateAPI", "max_forks_repo_path": "vendor/zetacomponents/document/tests/files/rst/parser/s_052_bug_14332_missing_paragraphs.txt", "max_issues_count": 9, "max_issues_repo_head_hexsha": "b7dfcc0ecb7a4f4b300b877bd5a32e1669f76dc6", "max_issues_repo_issues_event_max_datetime": "2020-03-17T00:57:49.000Z", "max_issues_repo_issues_event_min_datetime": "2019-11-22T13:33:59.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "UnityEG/validateAPI", "max_issues_repo_path": "vendor/zetacomponents/document/tests/files/rst/parser/s_052_bug_14332_missing_paragraphs.txt", "max_line_length": 48, "max_stars_count": 3, "max_stars_repo_head_hexsha": "b7dfcc0ecb7a4f4b300b877bd5a32e1669f76dc6", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "UnityEG/validateAPI", "max_stars_repo_path": "vendor/zetacomponents/document/tests/files/rst/parser/s_052_bug_14332_missing_paragraphs.txt", "max_stars_repo_stars_event_max_datetime": "2017-05-14T18:34:45.000Z", "max_stars_repo_stars_event_min_datetime": "2016-12-03T21:06:28.000Z", "size": 189}
| 2022-12-01T00:00:00 |
text
| 8,128 |
POI: Michelle_Williams
Youtube ID: rUjkdXFgfSU
Video length: 73.2 sec
Set (V): dev
Michelle_Williams/rUjkdXFgfSU_0000001 37.2 47.5
Michelle_Williams/rUjkdXFgfSU_0000002 47.8 51.8
|
a7e94a9f4f01a77f7756878bd1fb2e92629a3e7d
|
2023-03-17T10:45:14.085174
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7628865979, "avg_line_length": 24.25, "ext": "txt", "max_forks_count": 16, "max_forks_repo_forks_event_max_datetime": "2022-03-02T15:22:45.000Z", "max_forks_repo_forks_event_min_datetime": "2018-04-15T14:40:39.000Z", "max_forks_repo_head_hexsha": "9530c3b93117ffcc80be899a78bfa1c3e6efac3a", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "rrahm/voxceleb", "max_forks_repo_path": "data/v1/txt/Michelle_Williams/rUjkdXFgfSU.txt", "max_issues_count": 5, "max_issues_repo_head_hexsha": "9530c3b93117ffcc80be899a78bfa1c3e6efac3a", "max_issues_repo_issues_event_max_datetime": "2020-09-16T02:17:15.000Z", "max_issues_repo_issues_event_min_datetime": "2018-01-23T09:21:49.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "rrahm/voxceleb", "max_issues_repo_path": "data/v1/txt/Michelle_Williams/rUjkdXFgfSU.txt", "max_line_length": 48, "max_stars_count": 44, "max_stars_repo_head_hexsha": "9530c3b93117ffcc80be899a78bfa1c3e6efac3a", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "rrahm/voxceleb", "max_stars_repo_path": "data/v1/txt/Michelle_Williams/rUjkdXFgfSU.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-25T04:11:53.000Z", "max_stars_repo_stars_event_min_datetime": "2018-03-08T08:58:02.000Z", "size": 194}
| 2022-12-01T00:00:00 |
text
| 8,129 |
Le film insiste sur le côté glauque de la révolution (sang, massacre...).
On ne parle pas assez du contexte historique.
La bande son est nulle.
A la fin Robespierre y est filmé comme un vampire cadavérique.
Acheter plutôt le DVD de la révolution française en 2 parties.
|
d6eef2876c08b20c7b645d9689bfff665794983d
|
2023-03-17T10:09:23.966131
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7765567766, "avg_line_length": 54.6, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "773c99a9224c2f87b81e0609c141ea6fe29cf1ab", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "alvarobartt/ea-associate-ds", "max_forks_repo_path": "documents_challenge/APR/fr/apr-dvd-84-fr.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "773c99a9224c2f87b81e0609c141ea6fe29cf1ab", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "alvarobartt/ea-associate-ds", "max_issues_repo_path": "documents_challenge/APR/fr/apr-dvd-84-fr.txt", "max_line_length": 73, "max_stars_count": 6, "max_stars_repo_head_hexsha": "773c99a9224c2f87b81e0609c141ea6fe29cf1ab", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "alvarobartt/ea-associate-ds", "max_stars_repo_path": "documents_challenge/APR/fr/apr-dvd-84-fr.txt", "max_stars_repo_stars_event_max_datetime": "2020-08-05T23:47:37.000Z", "max_stars_repo_stars_event_min_datetime": "2020-08-04T07:03:50.000Z", "size": 273}
| 2022-12-01T00:00:00 |
text
| 8,130 |
* Measurement data measured by REW V5.20
* Source: USB-C to 3.5mm Headphone Jack Adapter, USB-C to 3.5mm Headphone Jack Adapter, 0, volume: 0.663. Timing signal peak level -10.4 dBFS, measurement signal peak level -6.1 dBFS
* Format: 256k Log Swept Sine, 1 sweep at -12.0 dBFS using an acoustic timing reference
* Dated: Mar 27, 2021 10:40:43 AM
* REW Settings:
* C-weighting compensation: Off
* Target level: 75.0 dB
* Note: ; Delay -0.0624 ms (-21 mm, -0.84 in) using estimated IR delay relative to Acoustic reference on USB-C to 3.5mm Headphone Jack Adapter L with no timing offset
* Measurement: FDX1 (0% Sedna)
* Smoothing: 1/12 octave
* Frequency Step: 1/48 octave
* Start Frequency: 20.300 Hz
*
* Freq(Hz) SPL(dB) Phase(degrees)
20.299999 101.496567 -147.0330
20.600000 101.493752 -147.1805
20.900000 101.486000 -147.5277
21.200001 101.477890 -147.9073
21.400000 101.474167 -148.1698
21.799999 101.475349 -148.7701
22.000000 101.480820 -149.1321
22.400000 101.498543 -150.0007
22.700001 101.512756 -150.7572
23.000000 101.523338 -151.5533
23.299999 101.527611 -152.3305
23.600000 101.524780 -153.0326
24.000000 101.512459 -153.7833
24.299999 101.501038 -154.1938
24.700001 101.490181 -154.5734
25.000000 101.489052 -154.7934
25.400000 101.497787 -155.0993
25.799999 101.513000 -155.5067
26.200001 101.526917 -156.0341
26.500000 101.534088 -156.4772
26.900000 101.542183 -157.0693
27.200001 101.551224 -157.4871
27.600000 101.571930 -158.0115
28.000000 101.600739 -158.5305
28.500000 101.634064 -159.2029
29.000000 101.648567 -159.8410
29.500000 101.646866 -160.3511
30.000000 101.644981 -160.7502
30.400000 101.645950 -161.0780
30.700001 101.642609 -161.3704
31.100000 101.623505 -161.8250
31.500000 101.583542 -162.3049
32.000000 101.517311 -162.8678
32.500000 101.460388 -163.4181
33.000000 101.425911 -164.0760
33.500000 101.397179 -164.8407
34.000000 101.353394 -165.4609
34.500000 101.304184 -165.6308
35.000000 101.289169 -165.3072
35.500000 101.335556 -164.8085
36.000000 101.422806 -164.5924
36.500000 101.498993 -164.8954
37.000000 101.525101 -165.5950
37.500000 101.499969 -166.3898
38.200001 101.433479 -167.2748
38.700001 101.396095 -167.7263
39.500000 101.350754 -168.3223
40.000000 101.316032 -168.6361
40.599998 101.269829 -168.9285
41.200001 101.232735 -169.1680
41.799999 101.210556 -169.4202
42.500000 101.197670 -169.7560
43.099998 101.193054 -170.0664
43.700001 101.192810 -170.4009
44.400002 101.196144 -170.8223
45.000000 101.202034 -171.1900
45.500000 101.208939 -171.4959
46.200001 101.215805 -171.9355
46.799999 101.210266 -172.3112
47.500000 101.187851 -172.6829
48.200001 101.161240 -172.9415
48.700001 101.146912 -173.0850
49.400002 101.129433 -173.2872
50.000000 101.107635 -173.4503
50.799999 101.070183 -173.5874
51.500000 101.043320 -173.6890
52.200001 101.020370 -173.8999
53.000000 100.984749 -174.2451
53.799999 100.952148 -174.5290
54.500000 100.943497 -174.7079
55.200001 100.945686 -174.8722
56.000000 100.942764 -175.0599
57.000000 100.932159 -175.3594
58.000000 100.949699 -175.7920
59.000000 101.010170 -176.3336
60.000000 101.029022 -176.8109
60.799999 100.970657 -176.8772
61.500000 100.892311 -176.7122
62.200001 100.818451 -176.5232
63.000000 100.751709 -176.4210
64.000000 100.691925 -176.4275
65.000000 100.650864 -176.4900
66.000000 100.625122 -176.5712
67.000000 100.616043 -176.6626
68.000000 100.611008 -176.7776
69.000000 100.594025 -176.9160
70.000000 100.566307 -177.0805
71.000000 100.536873 -177.2758
72.000000 100.509735 -177.4692
73.000000 100.487297 -177.6123
74.000000 100.469604 -177.7029
75.000000 100.450516 -177.7682
76.199997 100.423531 -177.8282
77.500000 100.401077 -177.9045
78.800003 100.383308 -178.0148
80.000000 100.361282 -178.1184
81.199997 100.334038 -178.2115
82.500000 100.303207 -178.3096
83.800003 100.274368 -178.4128
85.000000 100.254700 -178.5103
86.199997 100.241562 -178.6051
87.500000 100.227196 -178.6966
88.500000 100.212914 -178.7552
90.000000 100.189140 -178.7980
91.199997 100.170319 -178.7941
92.500000 100.147301 -178.7930
93.800003 100.121750 -178.8169
95.000000 100.098869 -178.8571
96.199997 100.076729 -178.9028
97.500000 100.054871 -178.9393
98.800003 100.037514 -178.9532
100.000000 100.023743 -178.9485
101.500000 100.007141 -178.9379
103.000000 99.991287 -178.9526
104.400002 99.975044 -178.9838
106.000000 99.953819 -179.0085
107.500000 99.931824 -179.0213
109.000000 99.906662 -179.0406
110.599998 99.877602 -179.0691
112.000000 99.852814 -179.0890
113.800003 99.820900 -179.0763
115.000000 99.795715 -179.0192
117.199997 99.733261 -178.7686
118.000000 99.706871 -178.6448
120.599998 99.658920 -178.4150
122.000000 99.671585 -178.4830
124.099998 99.696472 -178.6398
125.000000 99.699783 -178.6859
126.500000 99.696075 -178.7317
128.000000 99.685074 -178.7408
131.500000 99.647034 -178.6456
132.000000 99.641327 -178.6265
134.000000 99.620041 -178.5529
136.000000 99.601913 -178.4848
138.000000 99.587585 -178.4126
140.000000 99.574966 -178.3344
143.000000 99.551117 -178.2495
145.000000 99.531570 -178.2124
147.500000 99.507637 -178.1454
150.000000 99.487228 -178.0600
152.500000 99.468651 -177.9827
155.000000 99.450439 -177.9012
157.500000 99.433327 -177.7975
160.000000 99.416901 -177.6774
162.500000 99.399658 -177.5644
165.000000 99.379761 -177.4721
167.500000 99.358238 -177.3808
170.000000 99.338417 -177.2755
172.500000 99.322105 -177.1664
175.000000 99.308273 -177.0631
177.500000 99.294312 -176.9652
180.000000 99.278038 -176.8648
182.500000 99.259651 -176.7537
185.000000 99.242043 -176.6335
187.500000 99.226814 -176.5156
190.000000 99.213699 -176.4053
192.500000 99.201599 -176.2962
195.000000 99.188446 -176.1822
197.500000 99.173355 -176.0616
200.000000 99.157364 -175.9361
203.000000 99.138588 -175.7884
206.000000 99.120605 -175.6476
209.000000 99.102592 -175.5068
212.000000 99.084579 -175.3597
214.000000 99.072891 -175.2570
218.000000 99.050560 -175.0380
220.000000 99.039833 -174.9230
224.000000 99.017616 -174.6942
227.000000 98.999924 -174.5308
230.000000 98.983032 -174.3759
233.000000 98.967941 -174.2370
236.000000 98.953529 -174.1163
240.000000 98.928947 -173.9223
243.000000 98.901344 -173.6913
247.000000 98.856377 -173.2888
250.000000 98.823952 -172.9330
254.000000 98.792053 -172.3816
258.000000 98.783783 -171.7819
262.000000 98.807373 -171.2417
265.000000 98.842590 -170.9320
269.000000 98.898109 -170.6785
272.000000 98.934273 -170.5973
276.000000 98.970100 -170.5686
280.000000 98.994202 -170.5667
285.000000 99.005013 -170.5379
290.000000 98.995560 -170.4382
295.000000 98.977722 -170.3104
300.000000 98.965179 -170.1738
304.000000 98.961243 -170.0380
307.000000 98.958588 -169.9240
311.000000 98.951912 -169.7646
315.000000 98.941719 -169.5957
320.000000 98.926712 -169.3662
325.000000 98.910675 -169.1236
330.000000 98.894272 -168.8843
335.000000 98.879509 -168.6588
340.000000 98.868149 -168.4344
345.000000 98.858948 -168.1950
350.000000 98.849564 -167.9493
355.000000 98.839973 -167.7101
360.000000 98.830727 -167.4668
365.000000 98.821266 -167.2093
370.000000 98.811874 -166.9457
375.000000 98.802818 -166.6830
382.000000 98.790710 -166.3183
387.000000 98.782715 -166.0590
395.000000 98.770744 -165.6444
400.000000 98.763588 -165.3827
406.000000 98.754974 -165.0615
412.000000 98.746437 -164.7331
418.000000 98.738762 -164.4055
425.000000 98.731323 -164.0356
431.000000 98.725098 -163.7250
437.000000 98.718506 -163.4121
444.000000 98.710571 -163.0435
450.000000 98.703499 -162.7252
455.000000 98.697495 -162.4581
462.000000 98.689125 -162.0838
468.000000 98.681725 -161.7666
475.000000 98.672752 -161.4003
482.000000 98.664566 -161.0311
487.000000 98.659294 -160.7636
494.000000 98.650864 -160.3851
500.000000 98.641090 -160.0569
508.000000 98.623375 -159.6075
515.000000 98.603546 -159.1873
522.000000 98.580627 -158.7124
530.000000 98.555901 -158.0610
538.000000 98.547607 -157.2863
545.000000 98.569450 -156.5778
552.000000 98.620392 -155.9701
560.000000 98.691689 -155.5224
570.000000 98.754875 -155.2626
580.000000 98.775246 -155.0588
590.000000 98.771393 -154.7511
600.000000 98.760849 -154.3422
608.000000 98.752518 -153.9732
615.000000 98.746078 -153.6341
622.000000 98.740509 -153.2861
630.000000 98.735062 -152.8839
640.000000 98.729042 -152.3847
650.000000 98.722450 -151.8968
660.000000 98.712265 -151.4124
670.000000 98.694412 -150.9029
680.000000 98.667404 -150.3227
690.000000 98.638779 -149.6151
700.000000 98.625458 -148.7870
710.000000 98.636459 -147.9480
720.000000 98.662628 -147.1957
730.000000 98.690582 -146.5337
740.000000 98.714111 -145.9190
750.000000 98.733360 -145.3179
762.000000 98.753967 -144.5943
775.000000 98.776108 -143.8004
788.000000 98.798454 -142.9972
800.000000 98.819786 -142.2480
812.000000 98.842850 -141.4877
825.000000 98.870346 -140.6507
838.000000 98.900070 -139.8081
850.000000 98.929153 -139.0332
862.000000 98.960915 -138.2587
875.000000 98.999825 -137.4157
885.000000 99.032867 -136.7656
900.000000 99.085396 -135.7919
912.000000 99.128777 -135.0158
925.000000 99.178368 -134.1772
938.000000 99.231918 -133.3422
950.000000 99.285065 -132.5778
962.000000 99.341454 -131.8242
975.000000 99.405563 -131.0234
988.000000 99.472702 -130.2375
1000.000000 99.537514 -129.5251
1015.000000 99.622276 -128.6582
1030.000000 99.710907 -127.8221
1044.000000 99.796265 -127.0676
1060.000000 99.895760 -126.2339
1075.000000 99.990692 -125.4839
1090.000000 100.087189 -124.7703
1106.000000 100.191223 -124.0479
1120.000000 100.282616 -123.4440
1138.000000 100.399918 -122.7016
1150.000000 100.477646 -122.2266
1172.000000 100.619072 -121.3965
1180.000000 100.670151 -121.1079
1206.000000 100.833572 -120.2238
1220.000000 100.918907 -119.7813
1241.000000 101.043152 -119.1513
1250.000000 101.095238 -118.8919
1265.000000 101.181023 -118.4736
1280.000000 101.265411 -118.0712
1315.000000 101.454094 -117.1768
1320.000000 101.480110 -117.0530
1340.000000 101.582352 -116.5677
1360.000000 101.681419 -116.0992
1380.000000 101.776932 -115.6478
1400.000000 101.868530 -115.2138
1430.000000 101.997589 -114.6064
1450.000000 102.075386 -114.2375
1475.000000 102.157837 -113.8011
1500.000000 102.218544 -113.3358
1525.000000 102.257637 -112.7417
1550.000000 102.289139 -111.9157
1575.000000 102.339043 -110.8511
1600.000000 102.425903 -109.6831
1625.000000 102.546097 -108.5793
1650.000000 102.682915 -107.6142
1675.000000 102.822372 -106.7736
1700.000000 102.958656 -106.0142
1725.000000 103.091179 -105.2992
1750.000000 103.221367 -104.6092
1775.000000 103.350731 -103.9367
1800.000000 103.479927 -103.2786
1825.000000 103.609184 -102.6338
1850.000000 103.738892 -102.0027
1875.000000 103.869316 -101.3866
1900.000000 104.000648 -100.7870
1925.000000 104.133148 -100.2039
1950.000000 104.266922 -99.6369
1975.000000 104.401917 -99.0875
2000.000000 104.538155 -98.5576
2030.000000 104.703354 -97.9496
2060.000000 104.870514 -97.3747
2090.000000 105.039291 -96.8350
2120.000000 105.209198 -96.3319
2140.000000 105.322906 -96.0178
2180.000000 105.551048 -95.4421
2200.000000 105.665436 -95.1809
2240.000000 105.894432 -94.7137
2270.000000 106.065765 -94.4132
2300.000000 106.236046 -94.1553
2330.000000 106.404793 -93.9391
2360.000000 106.571671 -93.7646
2400.000000 106.790665 -93.5971
2430.000000 106.951828 -93.5196
2470.000000 107.161842 -93.4780
2500.000000 107.315155 -93.4906
2540.000000 107.513077 -93.5604
2580.000000 107.703064 -93.6854
2620.000000 107.884850 -93.8618
2650.000000 108.015579 -94.0252
2690.000000 108.182098 -94.2797
2720.000000 108.301010 -94.4942
2760.000000 108.451408 -94.8060
2800.000000 108.592300 -95.1408
2850.000000 108.755402 -95.5813
2900.000000 108.905197 -96.0362
2950.000000 109.043175 -96.4962
3000.000000 109.170853 -96.9541
3040.000000 109.266563 -97.3164
3070.000000 109.335037 -97.5853
3110.000000 109.422462 -97.9405
3150.000000 109.506050 -98.2931
3200.000000 109.606171 -98.7334
3250.000000 109.702347 -99.1789
3300.000000 109.794968 -99.6363
3350.000000 109.884125 -100.1116
3400.000000 109.969749 -100.6106
3450.000000 110.051437 -101.1388
3500.000000 110.128571 -101.7002
3550.000000 110.200363 -102.2966
3600.000000 110.266129 -102.9264
3650.000000 110.325668 -103.5858
3700.000000 110.379768 -104.2720
3750.000000 110.430115 -104.9893
3820.000000 110.496399 -106.0844
3870.000000 110.537827 -106.9744
3950.000000 110.576637 -108.6231
4000.000000 110.574539 -109.7639
4060.000000 110.541069 -111.1877
4120.000000 110.474457 -112.6217
4180.000000 110.377502 -114.0309
4250.000000 110.230278 -115.6229
4310.000000 110.077003 -116.9428
4370.000000 109.897850 -118.2230
4440.000000 109.652435 -119.6460
4500.000000 109.408356 -120.7656
4550.000000 109.181129 -121.5939
4620.000000 108.829788 -122.5418
4680.000000 108.503281 -123.1197
4750.000000 108.102440 -123.4930
4820.000000 107.691154 -123.5455
4870.000000 107.396423 -123.4025
4940.000000 106.987427 -122.9816
5000.000000 106.642220 -122.4422
5080.000000 106.190399 -121.4953
5150.000000 105.803284 -120.4646
5220.000000 105.424820 -119.2502
5300.000000 105.005119 -117.6428
5380.000000 104.602043 -115.8100
5450.000000 104.265541 -114.0308
5520.000000 103.946472 -112.0987
5600.000000 103.605843 -109.7192
5700.000000 103.220398 -106.5172
5800.000000 102.884521 -103.1030
5900.000000 102.602448 -99.5243
6000.000000 102.377571 -95.8291
6080.000000 102.240349 -92.8232
6150.000000 102.152031 -90.1798
6220.000000 102.093590 -87.5426
6300.000000 102.063431 -84.5590
6400.000000 102.080200 -80.9121
6500.000000 102.156586 -77.3981
6600.000000 102.292297 -74.0590
6700.000000 102.487946 -70.9396
6800.000000 102.744995 -68.0945
6900.000000 103.064507 -65.6036
7000.000000 103.442841 -63.5839
7100.000000 103.867188 -62.1656
7200.000000 104.318497 -61.4566
7300.000000 104.773483 -61.5520
7400.000000 105.202065 -62.5331
7500.000000 105.566414 -64.4236
7620.000000 105.864288 -67.7444
7750.000000 105.965088 -72.1554
7880.000000 105.821442 -76.7084
8000.000000 105.495941 -80.4749
8120.000000 105.029945 -83.4895
8250.000000 104.426025 -85.7820
8380.000000 103.776199 -87.1355
8500.000000 103.171310 -87.7050
8620.000000 102.580170 -87.7685
8750.000000 101.965843 -87.3949
8850.000000 101.515755 -86.8607
9000.000000 100.881325 -85.7593
9120.000000 100.410118 -84.6969
9250.000000 99.934959 -83.4345
9380.000000 99.492683 -82.1072
9500.000000 99.108307 -80.8540
9620.000000 98.742050 -79.5879
9750.000000 98.361526 -78.2035
9880.000000 97.994446 -76.7977
10000.000000 97.665466 -75.4691
10150.000000 97.266823 -73.7464
10300.000000 96.883659 -71.9352
10440.000000 96.543182 -70.1523
10600.000000 96.179520 -67.9955
10750.000000 95.869080 -65.8596
10900.000000 95.594086 -63.6266
11060.000000 95.346245 -61.1608
11200.000000 95.173378 -58.9563
11380.000000 95.019157 -56.1028
11500.000000 94.962883 -54.2197
11720.000000 94.966499 -50.8901
11800.000000 95.004784 -49.7407
12060.000000 95.281502 -46.3556
12200.000000 95.537857 -44.8417
12410.000000 96.083801 -43.1692
12500.000000 96.382462 -42.7425
12650.000000 96.971329 -42.5472
12800.000000 97.672379 -43.1856
13150.000000 99.612198 -49.6313
13200.000000 99.896072 -51.3200
13400.000000 100.929008 -60.4901
13600.000000 101.630890 -73.5803
13800.000000 101.815956 -89.5178
14000.000000 101.407234 -105.9904
14300.000000 99.842804 -126.9253
14500.000000 98.415222 -137.1761
14750.000000 96.530083 -146.5709
15000.000000 94.798889 -153.7000
15250.000000 93.382736 -159.9592
15500.000000 92.340050 -166.2937
15750.000000 91.692978 -173.3593
16000.000000 91.471512 178.1978
16250.000000 91.698082 167.4991
16500.000000 92.319206 153.2974
16750.000000 93.138428 134.0268
17000.000000 93.827362 108.3866
17250.000000 94.031181 76.6323
17500.000000 93.509346 41.4692
17750.000000 92.227325 6.6781
18000.000000 90.334404 -25.5493
18250.000000 88.066055 -55.4982
18500.000000 85.657516 -84.8795
18750.000000 83.286873 -115.6086
19000.000000 81.041718 -149.0948
19250.000000 78.923325 174.3863
19500.000000 76.899727 136.7849
19750.000000 75.035675 103.5128
|
1ac70a079e63b711d0a73f61f6679ee82ea3cee7
|
2023-03-17T10:38:33.630843
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7770151134, "avg_line_length": 32.1457489879, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "97f402d9d8dae63112389e98e707930f9e052777", "max_forks_repo_licenses": ["0BSD"], "max_forks_repo_name": "punpun0/ppgraph", "max_forks_repo_path": "data/mrs/JVC FDX1 (f000) L.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "97f402d9d8dae63112389e98e707930f9e052777", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["0BSD"], "max_issues_repo_name": "punpun0/ppgraph", "max_issues_repo_path": "data/mrs/JVC FDX1 (f000) L.txt", "max_line_length": 182, "max_stars_count": null, "max_stars_repo_head_hexsha": "97f402d9d8dae63112389e98e707930f9e052777", "max_stars_repo_licenses": ["0BSD"], "max_stars_repo_name": "punpun0/ppgraph", "max_stars_repo_path": "data/mrs/JVC FDX1 (f000) L.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 15880}
| 2022-12-01T00:00:00 |
text
| 8,131 |
ampproject.org
googleapis.cn
analytics.twitter.com
g.whatsapp.net
|
bd52e8af0fcf224296181c34efe57ddc3b9efc79
|
2023-03-17T10:22:12.735830
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8484848485, "avg_line_length": 13.2, "ext": "txt", "max_forks_count": 166, "max_forks_repo_forks_event_max_datetime": "2022-03-06T05:29:30.000Z", "max_forks_repo_forks_event_min_datetime": "2018-12-07T05:40:19.000Z", "max_forks_repo_head_hexsha": "c584715428bf20a67ff5aa2fdfb03dc4386211fc", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "httpsgithu/chn-iplist", "max_forks_repo_path": "archived/BifrostV/02-proxy-host_suffix.txt", "max_issues_count": 14, "max_issues_repo_head_hexsha": "c584715428bf20a67ff5aa2fdfb03dc4386211fc", "max_issues_repo_issues_event_max_datetime": "2022-02-12T15:16:40.000Z", "max_issues_repo_issues_event_min_datetime": "2019-03-14T02:33:18.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "httpsgithu/chn-iplist", "max_issues_repo_path": "archived/BifrostV/02-proxy-host_suffix.txt", "max_line_length": 21, "max_stars_count": 782, "max_stars_repo_head_hexsha": "c584715428bf20a67ff5aa2fdfb03dc4386211fc", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "httpsgithu/chn-iplist", "max_stars_repo_path": "archived/BifrostV/02-proxy-host_suffix.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-29T17:09:14.000Z", "max_stars_repo_stars_event_min_datetime": "2018-02-04T09:07:04.000Z", "size": 66}
| 2022-12-01T00:00:00 |
text
| 8,132 |
<p>I got IllegalAccess, so I copied the class if I needed this in a little Application. <br>
I know this is not nice, but ShadowEffect is not reusable for any other class. :(</p>
<p>Example:</p>
<pre><code>public class Example extends JFrame {
private JSlider slider = new JSlider(JSlider.VERTICAL,0,20,2);
private JTextField txt = new JTextField();
private BufferedImage raw = null;
private Image src = null;
private Rectangle rect = new Rectangle(400,200);
public Example() {
slider.addChangeListener( new ChangeListener() {
@Override
public void stateChanged( ChangeEvent e ) {
repaint();
}
});
JButton btn = new JButton(new AbstractAction("load") {
@Override
public void actionPerformed( ActionEvent ev ) {
try {
src = new ImageIcon( new URL( txt.getText() ) ).getImage();
rect = new Rectangle( src.getWidth( null ), src.getHeight( null ) );
raw = new BufferedImage( rect.width+20, rect.height+20, BufferedImage.TYPE_INT_ARGB );
raw.getGraphics().drawImage( src, 0, 0, null );
pack();
} catch( Exception e ) {
e.printStackTrace();
}
}
});
JPanel ori = new JPanel(new BorderLayout());
ori.add( txt, BorderLayout.CENTER );
txt.setText( "http://upload.wikimedia.org/wikipedia/en/d/d5/Transparent_google_logo.png" );
ori.add( btn, BorderLayout.EAST);
JPanel pnl = new JPanel() {
@Override
protected void paintComponent( Graphics g ) {
if(raw != null && src != null){
BufferedImage dst = new BufferedImage( rect.width+20, rect.height+20, BufferedImage.TYPE_INT_ARGB );
new MyEffect().applyEffect( raw, dst, rect.width+20, rect.height+20 );
g.drawImage( dst, slider.getValue(), slider.getValue(), null );
g.drawImage( src, 0, 0, null );
}
}
@Override
public Dimension getPreferredSize() {
return new Dimension(rect.width+5,rect.height+5);
}
};
setDefaultCloseOperation( EXIT_ON_CLOSE );
getContentPane().setLayout( new BorderLayout() );
getContentPane().setBackground( Color.WHITE );
getContentPane().add( ori, BorderLayout.NORTH );
getContentPane().add( pnl, BorderLayout.CENTER );
getContentPane().add( slider, BorderLayout.EAST );
pack();
}
public static void main( String[] args ) {
try {
for( UIManager.LookAndFeelInfo info : UIManager.getInstalledLookAndFeels() ) {
if( "Nimbus".equals( info.getName() ) ) {
UIManager.setLookAndFeel( info.getClassName() );
break;
}
}
} catch( Exception system ) {
system.printStackTrace();
}
EventQueue.invokeLater( new Runnable() {
@Override
public void run() {
new Example().setVisible( true );
}
} );
}
enum EffectType {
UNDER, BLENDED, OVER
}
public class MyEffect {
protected Color color = Color.BLACK;
/** Opacity a float 0-1 for percentage */
protected float opacity = 0.75f;
/** Angle in degrees between 0-360 */
protected int angle = 135;
/** Distance in pixels */
protected int distance = 5;
/** The shadow spread between 0-100 % */
protected int spread = 0;
/** Size in pixels */
protected int size = 5;
protected ArrayCache getArrayCache() {
ArrayCache cache = (ArrayCache)AppContext.getAppContext().get( ArrayCache.class );
if( cache == null ) {
cache = new ArrayCache();
AppContext.getAppContext().put( ArrayCache.class, cache );
}
return cache;
}
protected class ArrayCache {
private SoftReference<int[]> tmpIntArray = null;
private SoftReference<byte[]> tmpByteArray1 = null;
private SoftReference<byte[]> tmpByteArray2 = null;
private SoftReference<byte[]> tmpByteArray3 = null;
protected int[] getTmpIntArray( int size ) {
int[] tmp;
if( tmpIntArray == null || (tmp = tmpIntArray.get()) == null || tmp.length < size ) {
// create new array
tmp = new int[size];
tmpIntArray = new SoftReference<int[]>( tmp );
}
return tmp;
}
protected byte[] getTmpByteArray1( int size ) {
byte[] tmp;
if( tmpByteArray1 == null || (tmp = tmpByteArray1.get()) == null || tmp.length < size ) {
// create new array
tmp = new byte[size];
tmpByteArray1 = new SoftReference<byte[]>( tmp );
}
return tmp;
}
protected byte[] getTmpByteArray2( int size ) {
byte[] tmp;
if( tmpByteArray2 == null || (tmp = tmpByteArray2.get()) == null || tmp.length < size ) {
// create new array
tmp = new byte[size];
tmpByteArray2 = new SoftReference<byte[]>( tmp );
}
return tmp;
}
protected byte[] getTmpByteArray3( int size ) {
byte[] tmp;
if( tmpByteArray3 == null || (tmp = tmpByteArray3.get()) == null || tmp.length < size ) {
// create new array
tmp = new byte[size];
tmpByteArray3 = new SoftReference<byte[]>( tmp );
}
return tmp;
}
}
Color getColor() {
return color;
}
void setColor( Color color ) {
Color old = getColor();
this.color = color;
}
float getOpacity() {
return opacity;
}
void setOpacity( float opacity ) {
float old = getOpacity();
this.opacity = opacity;
}
int getAngle() {
return angle;
}
void setAngle( int angle ) {
int old = getAngle();
this.angle = angle;
}
int getDistance() {
return distance;
}
void setDistance( int distance ) {
int old = getDistance();
this.distance = distance;
}
int getSpread() {
return spread;
}
void setSpread( int spread ) {
int old = getSpread();
this.spread = spread;
}
int getSize() {
return size;
}
void setSize( int size ) {
int old = getSize();
this.size = size;
}
EffectType getEffectType() {
return EffectType.UNDER;
}
BufferedImage applyEffect( BufferedImage src, BufferedImage dst, int w, int h ) {
if( src == null || src.getType() != BufferedImage.TYPE_INT_ARGB ) {
throw new IllegalArgumentException( "Effect only works with "
+ "source images of type BufferedImage.TYPE_INT_ARGB." );
}
if( dst != null && dst.getType() != BufferedImage.TYPE_INT_ARGB ) {
throw new IllegalArgumentException( "Effect only works with "
+ "destination images of type BufferedImage.TYPE_INT_ARGB." );
}
// calculate offset
double trangleAngle = Math.toRadians( angle - 90 );
int offsetX = (int)(Math.sin( trangleAngle ) * distance);
int offsetY = (int)(Math.cos( trangleAngle ) * distance);
// clac expanded size
int tmpOffX = offsetX + size;
int tmpOffY = offsetX + size;
int tmpW = w + offsetX + size + size;
int tmpH = h + offsetX + size;
// create tmp buffers
int[] lineBuf = getArrayCache().getTmpIntArray( w );
byte[] tmpBuf1 = getArrayCache().getTmpByteArray1( tmpW * tmpH );
Arrays.fill( tmpBuf1, (byte)0x00 );
byte[] tmpBuf2 = getArrayCache().getTmpByteArray2( tmpW * tmpH );
// extract src image alpha channel and inverse and offset
Raster srcRaster = src.getRaster();
for( int y = 0; y < h; y++ ) {
int dy = (y + tmpOffY);
int offset = dy * tmpW;
srcRaster.getDataElements( 0, y, w, 1, lineBuf );
for( int x = 0; x < w; x++ ) {
int dx = x + tmpOffX;
tmpBuf1[offset + dx] = (byte)((lineBuf[x] & 0xFF000000) >>> 24);
}
}
// blur
float[] kernel = createGaussianKernel( size );
blur( tmpBuf1, tmpBuf2, tmpW, tmpH, kernel, size ); // horizontal pass
blur( tmpBuf2, tmpBuf1, tmpH, tmpW, kernel, size );// vertical pass
//rescale
float spread = Math.min( 1 / (1 - (0.01f * this.spread)), 255 );
for( int i = 0; i < tmpBuf1.length; i++ ) {
int val = (int)((tmpBuf1[i] & 0xFF) * spread);
tmpBuf1[i] = (val > 255) ? (byte)0xFF : (byte)val;
}
// create color image with shadow color and greyscale image as alpha
if( dst == null ) {
dst = new BufferedImage( w, h, BufferedImage.TYPE_INT_ARGB );
}
WritableRaster shadowRaster = dst.getRaster();
int red = color.getRed(), green = color.getGreen(), blue = color.getBlue();
for( int y = 0; y < h; y++ ) {
int srcY = y + tmpOffY;
int shadowOffset = (srcY - offsetY) * tmpW;
for( int x = 0; x < w; x++ ) {
int srcX = x + tmpOffX;
lineBuf[x] = tmpBuf1[shadowOffset + (srcX - offsetX)] << 24 | red << 16 | green << 8 | blue;
}
shadowRaster.setDataElements( 0, y, w, 1, lineBuf );
}
return dst;
}
}
static float[] createGaussianKernel( int radius ) {
if( radius < 1 ) {
throw new IllegalArgumentException( "Radius must be >= 1" );
}
float[] data = new float[radius * 2 + 1];
float sigma = radius / 3.0f;
float twoSigmaSquare = 2.0f * sigma * sigma;
float sigmaRoot = (float)Math.sqrt( twoSigmaSquare * Math.PI );
float total = 0.0f;
for( int i = -radius; i <= radius; i++ ) {
float distance = i * i;
int index = i + radius;
data[index] = (float)Math.exp( -distance / twoSigmaSquare ) / sigmaRoot;
total += data[index];
}
for( int i = 0; i < data.length; i++ ) {
data[i] /= total;
}
return data;
}
static void blur( byte[] srcPixels, byte[] dstPixels, int width, int height, float[] kernel, int radius ) {
float p;
int cp;
for( int y = 0; y < height; y++ ) {
int index = y;
int offset = y * width;
for( int x = 0; x < width; x++ ) {
p = 0.0f;
for( int i = -radius; i <= radius; i++ ) {
int subOffset = x + i;
// if (subOffset < 0) subOffset = 0;
// if (subOffset >= width) subOffset = width-1;
if( subOffset < 0 || subOffset >= width ) {
subOffset = (x + width) % width;
}
int pixel = srcPixels[offset + subOffset] & 0xFF;
float blurFactor = kernel[radius + i];
p += blurFactor * pixel;
}
cp = (int)(p + 0.5f);
dstPixels[index] = (byte)(cp > 255 ? 255 : cp);
index += height;
}
}
}
}
</code></pre>
|
ae9a26f7b3c21b985183e5ac1c2a2f8323353455
|
2023-03-17T09:56:50.161175
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.4896106998, "avg_line_length": 37.9486404834, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2020-06-09T08:31:19.000Z", "max_forks_repo_forks_event_min_datetime": "2020-06-09T08:31:19.000Z", "max_forks_repo_head_hexsha": "df394cb58360e0fd2a4ed369df8ffac90b2f1cec", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "UCLA-SEAL/ExampleStack", "max_forks_repo_path": "code/Chrome-extension/SO-posts/7332099.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "df394cb58360e0fd2a4ed369df8ffac90b2f1cec", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "UCLA-SEAL/ExampleStack", "max_issues_repo_path": "code/Chrome-extension/SO-posts/7332099.txt", "max_line_length": 130, "max_stars_count": 17, "max_stars_repo_head_hexsha": "df394cb58360e0fd2a4ed369df8ffac90b2f1cec", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "UCLA-SEAL/ExampleStack", "max_stars_repo_path": "code/Chrome-extension/SO-posts/7332099.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-10T21:24:31.000Z", "max_stars_repo_stars_event_min_datetime": "2019-04-24T03:53:04.000Z", "size": 12561}
| 2022-12-01T00:00:00 |
text
| 8,133 |
#copyright
Trabancos River
2007 Schools Wikipedia Selection. Related subjects: European Geography
Trabancos River
.
State
España (Spain)—>
Length 85,860 meters
Elevation at Source 1,120 meters
Provinces Ávila and Valladolid
River Mouth Duero River near the Village
of Pollos ( Valladolid province)
Elevation at Mouth 657 meters
River - Hydrology
The Trabancos is a river in Spain which flows between the Zapardiel and
the Guareña rivers and is a tributary of the Duero river. The source of
the Trabancos is in Moraña, a region in the north of the province of
Ávila, near Blascomillán. The Trabancos is at an elevation of
approximately 1,100 meters, is approximately 85 kilometers long and,
although its river bed is stable, only has a constant water flow during
torrential rains.
Fluvial Geomorphology
From its source in the province of Ávila, to its mouth in the village
of Pollos ("Village of Chickens" in Spanish) in the Vallisoletana
("confluence of waters") region, the course of the Trabancos is
markedly affected by a geologic fault originating in the Tertiary
era—likely pre-Pliocene which, like most of the observed faults of that
geological era, follows a NNE-SSW direction. As shown in the graph
below, the fault separates material laid down during the Oligocene
epoch on the right margin, from material laid down during the Miocene
epoch on the left margin. The surface level represents material
deposited during the Quaternary period.
Archeological research in areas surrounding the Trabancos River,
between the villages of Castrejón and Pollos ( Valladolid province)
have been compared with the specialized bibliography and the published
geological charts (infra), as a result of which a sequence of river
terraces have been designated as follows, appearing on the left hand
margin of the chart: TT-1 platform (the most ancient, at +35/40 meters
over the flood plain); the TT-2 platform (the second one at +25/30
meters); the TT-3 platform (at +15 meters over the floodplain); and the
TT-4 platform (at +10 meters, the last and most recent).
The right hand margin of the designated chart depicts a gravel plateau
present along the middle and final courses of the Trabancos River. The
scientist Alfredo Pérez-Gonzalez named this formation "Superficie de
Alaejos" ("The Plateau of Alaejos", after a nearby village). The
Alaejos Plateau incorporates a number of different types of materials,
including, among others: red argillic soil and a colluvium build up of
gravels with rounded stones of quartz and quartzite.
The Quaternary terrace deposits of the Trabancos River only appear on
the left hand side of the valley, over the Miocene sediments. This is
the result of a hard slope in the opposite margin, where the terrain is
heavily eroded, which renders the formation and maintenance of river
terraces impossible.
Cross section, depicting the fault that affects the middle and final
courses of the Trabancos Riveras well as the sequence of its river
terraces
Enlarge
Cross section, depicting the fault that affects the middle and final
courses of the Trabancos River
as well as the sequence of its river terraces
Of the previously mentioned river terraces, the one known as TT-4 is
only visible near Narros del Castillo ( Ávila). Terrace TT-3 is the
best preserved of the lot; although its height on the bed of the stream
is not constant, it clearly stands out on the floodplain. Terrace TT-2
is quite well preserved as well, although it has been more heavily
sculptured by other small tributaries of the Trabancos River. By
contrast, terrace TT-1 is greatly eroded; although some sections
survive to the south of the municipality of Alaejos ( Valladolid), they
are very difficult to differentiate from the colluvium floor that
covers the Superficie de Alaejos. Entering into land in the
municipality of Pollos, the stream stops to form river terraces,
cutting traversely and lowering enough (between 40 and 60 meters) to
meet the terrace deposits of the Duero River.
The TT-3 platform features a very compact and thick Miocene epoch
conglomerate formed of river-smoothed pebbles of quartzite, most likely
cut by the Trabancos River ages ago, and cemented together by chalk and
sandstone materials. While this Miocene conglomerate emerges from the
banks of each river terrace, the quartzite in the conglomerate on the
TT-2 platform, just northwest of the municipality of Siete Iglesias de
Trabancos, likely derives from the action of the Duero River rather
than the Trabancos River, as a slope in the terrain is thought to have
caused the formation of an alluvial fan which deposited quartzite on
the fluvial fossil river bed of the Trabancos.
The fact that the river terraces of the Trabancos River cut and cross
some terraces of the Duero River, leads to the conclusion that the
affected Duero River terraces are younger than those which were not
formed as a result of the activity of the waters of this river. The
"superficie de Alaejos" carve-out intrudes 4 to 6 meters into the Duero
River terrace designated TD-7 (+74/80 m) to the northwest of Siete
Iglesias de Trabancos village. Likewise, the TT-2 fluvial terrace of
Trabancos cuts some Duero River terraces. Since the previously
mentioned Duero River terrace named TD-7 has been dated by Alfredo
Pérez-González (op.cit.) to the beginning of the Middle Pleistocene,
meaning the river terraces of Trabancos River are younger than the
"Superficie de Alaejos", it appears plausible that this postdates the
creation of Trabancos valley: the proposed date could, thus, be halfway
through the Middle Pleistocene or later.
History of the Trabancos region
Although the eastern portion of the river is of insignificant
hydrographic importance, at least until the 13th century, it played an
important role in the history of the North Spanish Plateau.
Prehistoric era
Evidence of prehistoric human habitation has been unearthed in
hillsides in some areas of Narros del Castillo ( Ávila), and in Siete
Iglesias de Trabancos ( Valladolid), dating from the Quaternary period,
and have been further pinpointed as originating in the lower
Paleolithic era. At both sites, collections of lithic stone artifacts
knapped during the Acheulean period are found on the surface (not as a
result of archeological excavation), including among others:
centripetally knapped lithic cores, others displaying non-arranged
lithic reduction, as well as lithic flakes characteristic of both the
Levallois and Kombewa techniques, chopping tools and handaxes.
Centripetal lithic core
Lithic flake Handaxe
Chopper
Another lithic flake handaxe
Lithic artifacts and tools from the Acheulean culture found in the
fluvial quaternary terraces of Trabancos
Only ambiguous archaeological evidence has been found dating from the
late Roman period. It has been suggested by some that this is a result
of the severity of the land and weather in the Trabancos valley and its
surrounding regions. Possibly, during the pre-Roman period the
territory was a no-man's-land between the Hispanic tribes of the Vaccei
and Vettoni.
Some archaeological remains have been found in the municipality of
Siete iglesias de Trabancos ( Valladolid), but they are not
well-preserved, having been situated on the surface of the terrain.
Such remains consist of, for instance, broken pieces of comb-decorated
pottery which appear to date from Spain's Iron Age. There are few other
examples of prehistoric findings directly along the Trabancos river.
However, in the surrounding regions, such as the municipality of
Alaejos ( Valladolid), archaeological investigation has unearthed
several human burials sites that have been dated to the Bronze Age. In
addition, some prehistoric remains have been found near the mouth of
the Trabancos River, in Pollos village, but which originated from the
Duero River. These include relics of the Spanish Bronze age classified
as Cogotas pottery, as well as Proto-Cogotas pottery, both featuring
incised decoration.
Sieteiglesias de Trabancos pottery
Bronze age pottery from the Village of Pollos
Roman pottery ( Terra sigillata) found in Pollos village
Roman plate found near the Village of Nava del Rey
Archaeological remains of pottery found on the surface of the Trabancos
river basin
Roman times
The Romans likely came to the Trabancos region in the 2nd century,
during the campaigns of Lucius Licinius Lucullus ( 152 BC), but the
area was peripheral to the regions of principal occupation, as well as
to the creation of early towns and more importantly, trade routes: most
travel routes were in the east of this region, which followed the river
Eresma from the town of Coca (Cauca, in Roman times) and Matapozuelos
village (Nivaria in Roman times), up to Simancas (Septimanca); and at
the west, for the " Vía de la Plata" ("silver road"), the most
important Roman route in Lusitania Province. Nevertheless, it is known
that in the Vallisoletan area, there was several villages that probably
are of pre-Roman origin. In fact, the etymology of the word 'Trabancos'
suggests a name originating before the Roman occupation.
At the Lavachicha site (municipality of Castrejón, Valladolid) several
pieces of typical Roman pottery named terra sigillata hispanica have
been unearthed and there was also an archaeological excavation in the
1980s that revealed a necropolis from late Roman times or, perhaps,
from Visigothic times. Similar remains of late Roman pottery, have been
found in Carpio ( Valladolid), but only at ground level, and not from
archaeological excavation. Another municipality crossed by the
Trabancos River is Nava del Rey (a small town located in Valladolid),
where, once again, are found superficial pieces of terra sigillata
hispanica and a striking plate fragment with red gloss, resembling
those that were carried by Roman legionaries on military campaigns.
The Middle Ages
In the Middle Ages, the area remained a zone of little interest. No
written documents exist prior to the 12th century that mention the
region. It is known, however, that between 711 and 740 AD the Berbers
had stationed troops in the valley of the Duero, but the majority of
these peoples left the area because of a severe drought that occurred
sometime between 750 and 753 AD. Only the most important centers of
habitation survived ( Medina del Campo, Olmedo, Alcazarén, Tordesillas,
etc.).
During the Christian conquest, little emphasis was placed on resettling
the region, as it was essential for the sovereigns of the time to
consolidate more strategic zones (in the 11th century, priority was
placed on the south of the Sistema Central, a mountain range located in
the centre of the Iberian peninsula), which is why Medina del Campo
remained intact into the 12th century.
Nevertheless, Tomas Mañanes, a professor at the University of
Valladolid, who investigated the Trabancos valley and Guareña area,
found numerous defensive turrets or "Torrejones" (according to the
local dialect) that were dated to the 11th century; that is to say,
previous to any official resettlement. Specifically, more than ten
defensive structures of various sizes were verified along the course of
the Trabancos River in the province of Valladolid.
Aerial photo showing the ruins of one of the defensive 'torrejones' on
the borders of the river Trabancos near Medina del Campo
Enlarge
Aerial photo showing the ruins of one of the defensive 'torrejones' on
the borders of the river Trabancos near Medina del Campo
Map showing distribution of medieval forts in the border region between
the Kingdoms of Castile and León in the 12th century
Enlarge
Map showing distribution of medieval forts in the border region between
the Kingdoms of Castile and León in the 12th century
Character and purpose of the Torrejones
Almost all the torrejones are in areas which are now uninhabited
(except those in Castrejón and Alaejos, both of which were turned into
castles, in later history). The torrejones were relatively simple
square or egg-shaped structures, with several floors, built of
limestone or brick. At least two categories of torrejones can be
identified: The first have small peepholes in their walls and are built
in regions that were in isolated areas at the time of use, and the
other are small castles located in what were rural farming villages
(though today they are deserted).
Nevertheless, the typological similarity of the structures and the
relatively short distance between them (ideal for visual
communication), has led some to think that they were on opposite sides
of the frontier line between the Kingdoms of León and Castile (in
Salamanca there is a town names Zorita de la Frontera ("Zorita on the
Border") in memory of those times). These fortresses were reinforced in
the 12th and 13th centuries due to conflicts between the two kingdoms;
but it appears that they are more plentiful on the Castilian side (near
the Trabancos) than on the Leonese side (near the River Guareña). This
has been seen as indicative of a certain independence on the part of
the militia of the Community of Medina del Campo and surrounding areas,
which was thereby forced to defend itself without outside help, whilst
the Leonese side would have been able to rely on the help of Royal
troops, and the Knights Hospitaller of the Order of Saint John of
Jerusalem, billeted in Castronuño and Torrecilla de la Orden.
The Trabancos River area becomes strategically important
As indicated at the start of the discussion of the area during the
Middle Ages, despite its history as a fortified border from the tenth
century, the area was unimportant until the thirteenth. The King of the
(now united) Kingdom of Castile and Leon, Alphonse VII ( 1126- 1157),
made a series of internal territorial changes which involved the
transfer of Leonese territories to the Crown of Castille: specifically,
The Tierra de Campos to the north of the Duero, an area which at the
time was much valued for its riches, and the alfoz de Medina del Campo
(to the south of the Duero), a poor and sparsely populated zone,
although it possessed a certain strategic value in terms of the defense
of the passes of the Duero valley. During the time of the union of the
two crowns, the question of who owned these areas was of little
importance; however, upon the death of Alphonse VII and the division of
his possession amongst his sons, continuous conflicts arose over the
control of the area, especially Tierra de Campos, but also, though less
importantly, over the area of Medina del Campo.
The wars over the area intensified between 1178 and 1181. The Leonese
Alfoz de Toro was heavily defended, thanks to the Fortress of
Castronuño, with a vicious battle taking place even on the shores of
the Trabancos River itself. Of particular note is an encounter in 1179
between Leonese and Castilian forces, just outside the Fortress of
Cast'cam (Castrejón), which led to the signing of a peace treaty
between Alphonse VIII of Castille and Ferdinand II of Leon. But in fact
peace came to a swift end in the year 1183, when the Kings of Castille
and Leon made camp on the outskirts of the towns of Carpio and Fresno
el Viejo (both towns in the Province of Valladolid) respectively.
After the death of Ferdinand II, fighting resumed (interspersed with a
short truce in 1204 thanks to the marriage of Alphonse IX of León to
his niece, Berenguela of Castile; but the marriage was annulled by her
father because of the close blood-relationship of the spouses .
Finally, the Crowns of both kingdoms were taken by King Ferdinand III
of Castile.
The logical conclusion of these events was that the border was heavily
militarized, involving the building of castles and reinforcements of
troops in the areas surrounding the Trabancos River, with some castles
being erected in the west, such as in Alaejos. Paradoxically, the wars
increased the value of the region, and for the first time there began
to appear documents recording the area in the files of the cathedrals
of Zamora, Salamanca and Segovia including documents regarding: Siete
Iglesias de Trabancos ("Seven Churches at Trabancos") in 1178, Alaejos
(Falafeios) in 1167, and in 1180, Eván de Arriba, Eván de Abajo,
Valdefuentes and Pedroso (which are now deserted villages), together
with Nava del Rey in 1265, among others.
This last date, 1265, corresponds to a document found in the 'Book of
Loans' of Salamanca cathedral, which records the result of a new
conflict: the battle between the dioceses of Salamanca and Segovia for
the possession of the parishes to the east of the Trabancos; an area
that hitherto had been accorded little worth. Salamanca had made use of
the frontier struggles to take possession of the towns of Medina del
Campo, provoking a conflict of interest since the region was under
Castilian rule, and Salamanca belonged to the crown of León. In fact,
the Salmantinos created new parishes, like Siete Iglesias de Trabancos
in 1167, and Alaejos in 1185.
The Trabancos River area today
Looking at the Trabancos today and at a time when it is dry, it might
seem preposterous that at one time it held a position of strategic
importance for the town of Medina del Campo, and also, for the
so-called "Extremadura Catellana" (the wildest border of Castile).
However, the area's archaeological heritage is fast disappearing, and
it is only thanks to published research that we can catch a glimpse of
the region's former glory.
ZEPA designation
Map showing the ZEPA SPA designated territory. The red-colored area
corresponds to the province of Valladolid, and the orange corresponds
to Salamanca and Ávila.
Enlarge
Map showing the ZEPA SPA designated territory. The red-colored area
corresponds to the province of Valladolid, and the orange corresponds
to Salamanca and Ávila.
The middle and final course of the river Trabancos has been included in
the ZEPA (Zona Especial de Protección para las Aves [Special Zone for
Protection of Birds]) Tierra de Campiñas ("Land of champaigns"; Special
Protection Area ("SPA")).
ZEPA SPAs, are catalogued by the member states of the European Union as
natural zones of special interest for the conservation of bird species
threatened with extinction, in accordance with the criteria established
by the community board Birds Directive 79/409/CEE and subsequent
modifications by the (Directiva de Aves) "Aviary Regulation Board" of
the EU.
Although the designation also includes a portion of the Guareña River's
course to the west, and the Zapardiel River's course to the east, the
Trabancos River ZEPA SPA designated area is the largest in the
Autonomous Community of Castile and León, since it covers almost 1,400
square kilometres, including the Campo de Peñaranda (in Salamanca), the
Moraña (in Ávila) and, especially, a large part of the Tierra de Medina
del Campo. In all, 73% of the territory of the Trabancos ZEPA SPA
corresponds to the province of Valladolid.
The designated region is largely uninhabited —97% of the area is
agricultural land, with an emphasis on cereal crops and other
irrigation farming purposes. The areas of ecological interest are found
in the remaining 3% percent of the terrain. The region is characterized
by tilled land and pastures, small pine woods and holm oak woods, with
interspersed wasteland areas covered in halophile bushes. There are
also many small ephemeral ponds; a characteristic of Spanish steppes,
which are only water-filled during the winter. From a conservation
standpoint, such ponds, like nearby segments of the Trabancos River's
banks, are in a precarious ecological state. Nevertheless, the areas
are still capable of sustaining the flora and fauna commensurate with a
natural riverside environment.
The Trabancos region stands out for its concentration of great bustards
(more than 2000); as well as having the largest reproductive
concentration of black-bellied sandgrouses (Pterocles orientalis) in
Castile and León (with more than 200 mating pairs). It is also the
winter season nesting ground of more than 1,500 red kites (Milvus
milvus). There are also numerous birds of prey; the most abundant are
montagu's harriers (Circus pygargus, 50 mating pairs) and lesser
kestrels (Falco naumanni; almost 150 mating pairs), but there are also
hawks, goshawks, falcons, owls, and others. The region is also host to
numerous gamebirds, including the red-legged partridge (Alectoris
rufa).
Despite their importance, the population of little bustard (Tetrax
tetrax) in the region appear to be diminishing. Although not all the
species protected in this ZEPA SPA can be listed, the protected area is
a migratory crossing site and wintertime nesting area which, along with
the Riberas de Castronuño (Valladolid) nature reserve, is frequented by
many waterfowl ( cranes, geese, etc.), some of which even take
advantage of the area ephemeral ponds for nesting during humid winters.
Great Bustard in Alaejos
Enlarge
Great Bustard in Alaejos
Running Red-legged Partridge
Enlarge
Running Red-legged Partridge
Red Kites gathering for the winter season
Enlarge
Red Kites gathering for the winter season
Retrieved from " http://en.wikipedia.org/wiki/Trabancos_River"
This reference article is mainly selected from the English Wikipedia
with only minor checks and changes (see www.wikipedia.org for details
of authors and sources) and is available under the GNU Free
Documentation License. See also our Disclaimer.
|
9ed8b01543bd9367548da9a167e43a32a5d50b90
|
2023-03-17T10:44:15.344629
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7502056722, "avg_line_length": 53.9602803738, "ext": "txt", "max_forks_count": 5, "max_forks_repo_forks_event_max_datetime": "2021-08-29T23:39:27.000Z", "max_forks_repo_forks_event_min_datetime": "2019-05-03T06:05:30.000Z", "max_forks_repo_head_hexsha": "d39ce72b5b27c4dc0df35b0138e4501f5a4b4e28", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "JifuZhao/MapReduce_For_Fun", "max_forks_repo_path": "Google-Auto-Complete/Autocomplete/input/wikispeedia_articles_plaintext/Trabancos_River.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "d39ce72b5b27c4dc0df35b0138e4501f5a4b4e28", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "JifuZhao/MapReduce_For_Fun", "max_issues_repo_path": "Google-Auto-Complete/Autocomplete/input/wikispeedia_articles_plaintext/Trabancos_River.txt", "max_line_length": 80, "max_stars_count": 1, "max_stars_repo_head_hexsha": "d39ce72b5b27c4dc0df35b0138e4501f5a4b4e28", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "JifuZhao/MapReduce_For_Fun", "max_stars_repo_path": "Google-Auto-Complete/Autocomplete/input/wikispeedia_articles_plaintext/Trabancos_River.txt", "max_stars_repo_stars_event_max_datetime": "2019-07-17T15:36:16.000Z", "max_stars_repo_stars_event_min_datetime": "2019-07-17T15:36:16.000Z", "size": 23095}
| 2022-12-01T00:00:00 |
text
| 8,134 |
So tönet im Erhabnen wie in allen
|
58f4354565f2e14679d8a49291fb14c8d12d6999
|
2023-03-17T09:56:53.764681
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7941176471, "avg_line_length": 17, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2022-03-04T16:48:10.000Z", "max_forks_repo_forks_event_min_datetime": "2022-01-23T22:12:53.000Z", "max_forks_repo_head_hexsha": "3eb755d2325cd042e405080f9e5ea8096075b59d", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "buliasz/tesstrain-windows-gui", "max_forks_repo_path": "ocrd-testset/candidus_christus_1854_0042_011.gt.txt", "max_issues_count": 2, "max_issues_repo_head_hexsha": "3eb755d2325cd042e405080f9e5ea8096075b59d", "max_issues_repo_issues_event_max_datetime": "2022-03-24T06:26:07.000Z", "max_issues_repo_issues_event_min_datetime": "2022-03-16T12:42:15.000Z", "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "buliasz/tesstrain-windows-gui", "max_issues_repo_path": "ocrd-testset/candidus_christus_1854_0042_011.gt.txt", "max_line_length": 33, "max_stars_count": 6, "max_stars_repo_head_hexsha": "3eb755d2325cd042e405080f9e5ea8096075b59d", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "buliasz/tesstrain-windows-gui", "max_stars_repo_path": "ocrd-testset/candidus_christus_1854_0042_011.gt.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-31T23:59:05.000Z", "max_stars_repo_stars_event_min_datetime": "2021-12-18T00:12:43.000Z", "size": 34}
| 2022-12-01T00:00:00 |
text
| 8,135 |
---------------------------------------------------------------
Vortex Lattice Output -- Total Forces
Configuration: Sub-scale_demonstrator
# Surfaces = 11
# Strips = 96
# Vortices =1056
Sref = 13.810 Cref = 1.4800 Bref = 9.3300
Xref = 0.81000 Yref = 0.0000 Zref = 0.0000
Standard axis orientation, X fwd, Z down
Run case: -unnamed-
Alpha = -6.00000 pb/2V = -0.00000 p'b/2V = -0.00000
Beta = 0.00000 qc/2V = 0.00000
Mach = 0.000 rb/2V = -0.00000 r'b/2V = -0.00000
CJtot = 12.00000 CQtot = 1.04673
CXtot = 5.01495 Cltot = 0.00000 Cl'tot = 0.00000
CYtot = 0.00000 Cmtot = 1.98244
CZtot = -11.80356 Cntot = -0.00000 Cn'tot = -0.00000
CLtot = 11.21470 CLff = 13.66031 CYff = -0.00000
CDtot = -6.22128 CDff = -2.66801 e = 0.5885
CLcir = 4.69047 CLffc = 8.56354
CLjet = 6.52422 CLffj = 5.09677
CDind = 0.07898 CDffi = 4.17984 e_vec = 1.3018
CDjet = -6.30026 CDffj = -6.84785
CDvis = 0.00000 CDffv = 0.00000
flap = 95.00000
aileron = 0.00000
elevator = 0.00000
rudder = 0.00000
CJet = 8.60152
---------------------------------------------------------------
---------------------------------------------------------------
Surface Forces (referred to Sref,Cref,Bref about Xref,Yref,Zref)
Standard axis orientation, X fwd, Z down
Sref = 13.81 Cref = 1.4800 Bref = 9.3300
Xref = 0.8100 Yref = 0.0000 Zref = 0.0000
n Area CL CD Cm CY Cn Cl CDi CDv
1 4.603 5.8104 -1.0853 -1.3706 -0.0000 -0.0769 -0.9543 0.4117 0.0000 Wing Section 1
2 4.603 5.8104 -1.0853 -1.3706 -0.0000 0.0769 0.9543 0.4117 0.0000 Wing Section 1 (YDUP)
3 2.309 0.2803 -1.7361 0.0061 0.0000 -0.7062 -0.1832 -0.0830 0.0000 Wing Section 2
4 2.309 0.2803 -1.7361 0.0061 -0.0000 0.7062 0.1832 -0.0830 0.0000 Wing Section 2 (YDUP)
5 1.853 -0.4834 -0.2892 2.3557 0.0333 -0.0572 0.0398 -0.2892 0.0000 Horizontal Stabilizer
6 1.853 -0.4834 -0.2892 2.3557 -0.0333 0.0572 -0.0398 -0.2892 0.0000 Horizontal Stabilizer (YDUP)
7 1.904 -0.0000 0.0000 0.0000 0.0000 -0.0000 0.0000 0.0000 0.0000 Vertical Stabilizer
8 4.603 0.0000 0.0000 0.0000 0.0000 -0.0000 -0.0000 0.0000 0.0000
9 4.603 0.0000 0.0000 0.0000 0.0000 -0.0000 -0.0000 0.0000 0.0000
10 2.309 0.0000 0.0000 0.0000 0.0000 -0.0000 -0.0000 0.0000 0.0000
11 2.309 0.0000 0.0000 0.0000 0.0000 -0.0000 -0.0000 0.0000 0.0000
Surface Forces (referred to Ssurf, Cave about root LE on hinge axis)
n Ssurf Cave cl cd cdv cm_LE
1 4.603 1.480 17.4332 -3.2563 0.0000 -4.1121 Wing Section 1
2 4.603 1.480 17.4332 -3.2563 0.0000 -4.1121 Wing Section 1 (YDUP)
3 2.309 1.480 1.6768 -10.3844 0.0000 0.0366 Wing Section 2
4 2.309 1.480 1.6768 -10.3844 0.0000 0.0366 Wing Section 2 (YDUP)
5 1.853 0.965 -3.6028 -2.1558 0.0000 -1.7518 Horizontal Stabilizer
6 1.853 0.965 -3.6028 -2.1558 0.0000 -1.7518 Horizontal Stabilizer (YDUP)
7 1.904 1.380 -0.0000 0.0000 0.0000 0.0000 Vertical Stabilizer
8 4.603 1.480 0.0000 0.0000 0.0000 0.0000
9 4.603 1.480 0.0000 0.0000 0.0000 0.0000
10 2.309 1.480 0.0000 0.0000 0.0000 0.0000
11 2.309 1.480 0.0000 0.0000 0.0000 0.0000
---------------------------------------------------------------
|
c354e564a457ec70cb3adf5ce8f29116c48a93a2
|
2023-03-17T10:38:33.630843
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.4565992866, "avg_line_length": 53.9102564103, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "61eab16ba484da4e85099fe08d8ce3baf9f5beca", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "wcordelo/1682-jvl-matlab", "max_forks_repo_path": "subtxtfiles/subscale152013.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "61eab16ba484da4e85099fe08d8ce3baf9f5beca", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "wcordelo/1682-jvl-matlab", "max_issues_repo_path": "subtxtfiles/subscale152013.txt", "max_line_length": 119, "max_stars_count": null, "max_stars_repo_head_hexsha": "61eab16ba484da4e85099fe08d8ce3baf9f5beca", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "wcordelo/1682-jvl-matlab", "max_stars_repo_path": "subtxtfiles/subscale152013.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 4205}
| 2022-12-01T00:00:00 |
text
| 8,136 |
1B_20/2013 (28.01.2013)
Wichtiger Hinweis:
Diese Website wird in älteren Versionen von Netscape ohne graphische Elemente dargestellt. Die Funktionalität der Website ist aber trotzdem gewährleistet. Wenn Sie diese Website regelmässig benutzen, empfehlen wir Ihnen, auf Ihrem Computer einen aktuellen Browser zu installieren.
Zurück zur Einstiegsseite
Drucken
Grössere Schrift
Bundesgericht
Tribunal fédéral
Tribunale federale
Tribunal federal
{T 0/2}
1B_20/2013
Verfügung vom 28. Januar 2013
I. öffentlich-rechtliche Abteilung
Besetzung
Bundesrichter Karlen, als Einzelrichter,
Gerichtsschreiber Störi.
Verfahrensbeteiligte
X.________,
Beschwerdeführer,
vertreten durch Rechtsanwalt Dr. Thomas Schütt,
gegen
Staatsanwaltschaft IV des Kantons Zürich.
Gegenstand
Verlängerung Untersuchungshaft,
Beschwerde gegen den Beschluss des Obergerichts
des Kantons Zürich, III. Strafkammer, vom 20. Dezember 2012.
Sachverhalt:
A.
Die Staatsanwaltschaft IV des Kantons Zürich führt gegen X.________ ein Strafverfahren wegen versuchter schwerer, eventuell einfacher Körperverletzung, Sachbeschädigung und Hausfriedensbruchs. X.________ wurde am 24. Juni 2012 verhaftet.
Am 20. Dezember 2012 wies das Obergericht des Kantons Zürich die Beschwerde von X.________ gegen die Verlängerung seiner Untersuchungshaft ab.
Mit Beschwerde in Strafsachen vom 14. Januar 2013 beantragt X.________, ihn aus der Untersuchungshaft zu entlassen unter der Auflage, bis zum erstinstanzlichen Urteil die aus medizinischer Sicht notwendigen Medikamente unter ärztlicher Kontrolle einzunehmen und eine kontrollierte Alkoholabstinenz einzuhalten. Eventuell sei die Untersuchungshaft durch das Bundesgericht zu befristen und der Staatsanwaltschaft die Weisung zu erteilen, bis dahin ein Gutachten einzuholen zur Frage, ob bei kontrollierter Alkoholabstinenz Wiederholungsgefahr bestehe und ob er sich für den vorzeitigen Massnahmenvollzug eigne.
B.
In ihrer Vernehmlassung teilt die Staatsanwaltschaft IV mit, sie habe in der Zwischenzeit Anklage erhoben. Das Obergericht verzichtet auf Vernehmlassung.
C.
Mit Eingabe vom 25. Januar 2013 beantragt X.________, das Verfahren zufolge Gegenstandslosigkeit abzuschreiben. Ausserdem ersucht er um unentgeltliche Rechtspflege und Verbeiständung.
D.
Weitere Vernehmlassungen wurden keine eingeholt.
Erwägungen:
1.
Angefochten ist ein kantonal letztinstanzlicher Entscheid über die Verlängerung von Untersuchungshaft. Mittlerweile hat die Staatsanwaltschaft mit Erhebung der Anklage Sicherheitshaft gegen den Beschwerdeführer beantragt. Das entsprechende Haftprüfungsverfahren wurde vom Zwangsmassnahmengericht am 17. Januar 2013 eröffnet, wobei es anordnete, der Beschwerdeführer habe bis zu seinem definitiven Entscheid in Haft zu bleiben
Unter diesen Umständen ist das Verfahren gegen die Verlängerung der Untersuchungshaft gegenstandslos geworden und entsprechend dem Antrag des Beschwerdeführers abzuschreiben. Zuständig dafür ist der Instruktionsrichter als Einzelrichter (Art. 32 Abs. 2 BGG).
2.
Die Kosten- und Entschädigungsfolgen beurteilen sich nach der Sachlage vor Eintritt des Erledigungsgrundes (Art. 72 BZP i.V.m. Art. 71 BGG), wobei es nach ständiger Praxis nicht darum gehen kann, bei der Beurteilung der Kosten- und Entschädigungsfolgen über die materielle Begründetheit der Beschwerde abschliessend zu befinden (BGE 118 Ia 488 E. 4 S. 494, Urteil 5A_432/2010 vom 26. Juli 2010, E. 4.1). Vorliegend müssten für die Stellung einer Prognose über den mutmasslichen Verfahrensausgang psychiatrische Gutachten abschliessend beurteilt werden, was nicht angehen kann. Es rechtfertigt sich unter diesen Umständen, keine Gerichtskosten zu erheben und dem Beschwerdeführer aus der Bundesgerichtskasse eine Entschädigung zuzusprechen. Damit wird das Gesuch um unentgeltliche Rechtspflege und Verbeiständung gegenstandslos.
Demnach verfügt der Einzelrichter:
1.
Die Beschwerde wird als gegenstandslos abgeschrieben.
2.
Es werden keine Kosten erhoben.
3.
Der Beschwerdeführer wird für das bundesgerichtliche Verfahren mit Fr. 1'000.-- aus der Bundesgerichtskasse entschädigt.
4.
Diese Verfügung wird dem Beschwerdeführer sowie der Staatsanwaltschaft IV und dem Obergericht des Kantons Zürich, III. Strafkammer, schriftlich mitgeteilt.
Lausanne, 28. Januar 2013
Im Namen der I. öffentlich-rechtlichen Abteilung
des Schweizerischen Bundesgerichts
Der Einzelrichter: Karlen
Der Gerichtsschreiber: Störi
Navigation
Neue Suche
Zurück zum Suchresultat
Rang:
1
ähnliche Leitentscheide suchen
ähnliche Urteile ab 2000 suchen
Drucken
nach oben
|
2aa61f096c685c3e7e6d769a7a76070cc22945ea
|
2023-03-17T10:26:18.548058
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7900677201, "avg_line_length": 29.1796407186, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "5ec3637d18cbd73256b56682d9b99547e21a24d9", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "manuelapaganini/20_21_Workfiles", "max_forks_repo_path": "05 Local Setup /gerichts-urteile/1B_20_2013.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "5ec3637d18cbd73256b56682d9b99547e21a24d9", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "manuelapaganini/20_21_Workfiles", "max_issues_repo_path": "05 Local Setup /gerichts-urteile/1B_20_2013.txt", "max_line_length": 827, "max_stars_count": null, "max_stars_repo_head_hexsha": "5ec3637d18cbd73256b56682d9b99547e21a24d9", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "manuelapaganini/20_21_Workfiles", "max_stars_repo_path": "05 Local Setup /gerichts-urteile/1B_20_2013.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 4873}
| 2022-12-01T00:00:00 |
text
| 8,137 |
1624982774501:6934650:⁄(⁄ ⁄•⁄ω⁄•⁄ ⁄)⁄
1624983356063:12488253:(⌒▽⌒)
1624985970289:11614134:打卡
1624986441615:76782734:qwq
1624989044345:1949207:打卡
1624992280059:692696814:(=・ω・=)
1625018562563:423707815:(⌒▽⌒)
1625031389892:64926301:(=・ω・=)
1625033356666:493675444:(=・ω・=)
1625059229003:77475400:。
1625062414299:22773837:啊咧咧
SPEAKERNUM11;1949207:七咔拉的宝贝儿砸神海:1,6934650:牛肉蘑菇酱:1,11614134:霧島カオ:1,12488253:gachi-Official:1,22773837:ZSY123Luffy:1,64926301:白菜の砂糖盐酱:1,76782734:白菜の茗:1,77475400:有所往:1,423707815:紫梦暗影:1,493675444:莯汐suria:1,692696814:海露楠:1
V2
|
441fda5e422264491da07da05604209d2740097c
|
2023-03-17T10:44:07.259113
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7937384899, "avg_line_length": 38.7857142857, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "22339844/2021-6-30.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "22339844/2021-6-30.txt", "max_line_length": 217, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "22339844/2021-6-30.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 543}
| 2022-12-01T00:00:00 |
text
| 8,138 |
0 0.2125 0.4622222222222222 0.15 0.28444444444444444
1 0.33375 0.4911111111111111 0.1075 0.22666666666666666
0 0.53 0.40444444444444444 0.155 0.3111111111111111
1 0.93125 0.6088888888888889 0.1275 0.26666666666666666
|
3087c70b645ecd31903bdb8ecbe069903f8b7e58
|
2023-03-17T10:44:26.199910
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8341013825, "avg_line_length": 43.4, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "3fa1e0ac48fdae2649b639229d9a74f75e461878", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "HarryPham0123/FPT_data_centric_competition", "max_forks_repo_path": "Data_Competition/dataset_origin/data_kaggle/labels/maksssksksss502.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "3fa1e0ac48fdae2649b639229d9a74f75e461878", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "HarryPham0123/FPT_data_centric_competition", "max_issues_repo_path": "Data_Competition/dataset_origin/data_kaggle/labels/maksssksksss502.txt", "max_line_length": 55, "max_stars_count": 1, "max_stars_repo_head_hexsha": "3fa1e0ac48fdae2649b639229d9a74f75e461878", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "HarryPham0123/FPT_data_centric_competition", "max_stars_repo_path": "Data_Competition/dataset_origin/data_kaggle/labels/maksssksksss502.txt", "max_stars_repo_stars_event_max_datetime": "2022-01-01T06:14:58.000Z", "max_stars_repo_stars_event_min_datetime": "2022-01-01T06:14:58.000Z", "size": 217}
| 2022-12-01T00:00:00 |
text
| 8,139 |
From |||EMAIL_ADDRESS||| (PAM DRAPER)
Subject: Any info. on Vasomotor Rhinitis
I recently attended an allery seminar. Steroid Nasal sprays were
discussed. Afterward on a one-on-one basis, I asked the speaker what if
none of the Vancanese, Beconase, Nasalide, Nasalcort, or Nasalchrom work
nor do any oral decongestants work. She replied that she saw an article on
Vasomotor Rhinitis. That this is not an allergic reaction and that nothing
other than the Afrin's and such would work. (Which in my case is true).
I want to find out as much as possible about this, since I am going to see
my allergist in May and want to be armed to the hilt with information;
since nothing he has done with me has helped me at all and I have had no
relief for 14 months.
Please respond if you know anything about this and/or please let me know
what articles might be helpful that I could look up in the library.
|
9988abe7a95bd504b7b5780e14148e2c506a198c
|
2023-03-17T10:39:25.317618
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7694805195, "avg_line_length": 38.5, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "8fa247cbbe53c1b634fdfd37498e9420985190cd", "max_forks_repo_licenses": ["Unlicense"], "max_forks_repo_name": "Shivam60/Text_Classifiers", "max_forks_repo_path": "input/379/train/sci.med/12837-59047.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "8fa247cbbe53c1b634fdfd37498e9420985190cd", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Unlicense"], "max_issues_repo_name": "Shivam60/Text_Classifiers", "max_issues_repo_path": "input/379/train/sci.med/12837-59047.txt", "max_line_length": 76, "max_stars_count": null, "max_stars_repo_head_hexsha": "8fa247cbbe53c1b634fdfd37498e9420985190cd", "max_stars_repo_licenses": ["Unlicense"], "max_stars_repo_name": "Shivam60/Text_Classifiers", "max_stars_repo_path": "input/379/train/sci.med/12837-59047.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 924}
| 2022-12-01T00:00:00 |
text
| 8,140 |
>wake up
>still fat
4' J why does God hate me?
3 REPLIES
|
2000468e69faf0f716d0cd22af2aa947ecaa5ca0
|
2023-03-17T10:10:22.073571
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.701754386, "avg_line_length": 11.4, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "1e8c94810eb213731a7915d8597843311331d6bd", "max_forks_repo_licenses": ["Unlicense", "MIT"], "max_forks_repo_name": "DavidWatkins/greentext_bot", "max_forks_repo_path": "texts/5056.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "1e8c94810eb213731a7915d8597843311331d6bd", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Unlicense", "MIT"], "max_issues_repo_name": "DavidWatkins/greentext_bot", "max_issues_repo_path": "texts/5056.txt", "max_line_length": 26, "max_stars_count": null, "max_stars_repo_head_hexsha": "1e8c94810eb213731a7915d8597843311331d6bd", "max_stars_repo_licenses": ["Unlicense", "MIT"], "max_stars_repo_name": "DavidWatkins/greentext_bot", "max_stars_repo_path": "texts/5056.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 57}
| 2022-12-01T00:00:00 |
text
| 8,141 |
1.590999999999999914e-01
3.181999999999999829e-01
4.772999999999999465e-01
6.363999999999999657e-01
7.954999999999999849e-01
9.545999999999998931e-01
1.113699999999999912e+00
1.272799999999999931e+00
1.431899999999999951e+00
1.590999999999999970e+00
1.750099999999999989e+00
1.909199999999999786e+00
2.068299999999999805e+00
2.227399999999999824e+00
2.386499999999999844e+00
2.545599999999999863e+00
2.704699999999999882e+00
2.863799999999999901e+00
3.022899999999999920e+00
3.181999999999999940e+00
3.341099999999999959e+00
3.500199999999999978e+00
3.659299999999999997e+00
3.818399999999999572e+00
3.977499999999999591e+00
4.136599999999999611e+00
4.295700000000000074e+00
4.454799999999999649e+00
4.613900000000000112e+00
4.772999999999999687e+00
4.932100000000000151e+00
5.091199999999999726e+00
5.250299999999999301e+00
5.409399999999999764e+00
5.568499999999999339e+00
5.727599999999999802e+00
5.886699999999999378e+00
6.045799999999999841e+00
6.204899999999999416e+00
6.363999999999999879e+00
6.523099999999999454e+00
6.682199999999999918e+00
6.841299999999999493e+00
7.000399999999999956e+00
7.159499999999999531e+00
7.318599999999999994e+00
7.477699999999999569e+00
7.636799999999999145e+00
7.795899999999999608e+00
7.954999999999999183e+00
8.114099999999998758e+00
8.273199999999999221e+00
8.432299999999999685e+00
8.591400000000000148e+00
8.750499999999998835e+00
8.909599999999999298e+00
9.068699999999999761e+00
9.227800000000000225e+00
9.386899999999998911e+00
9.545999999999999375e+00
9.705099999999999838e+00
9.864200000000000301e+00
1.002329999999999899e+01
1.018239999999999945e+01
1.034149999999999991e+01
1.050059999999999860e+01
1.065969999999999906e+01
1.081879999999999953e+01
1.097789999999999999e+01
1.113699999999999868e+01
1.129609999999999914e+01
1.145519999999999960e+01
1.161430000000000007e+01
1.177339999999999876e+01
1.193249999999999922e+01
1.209159999999999968e+01
1.225070000000000014e+01
1.240979999999999883e+01
1.256889999999999930e+01
1.272799999999999976e+01
1.288709999999999845e+01
1.304619999999999891e+01
1.320529999999999937e+01
1.336439999999999984e+01
1.352349999999999852e+01
1.368259999999999899e+01
1.384169999999999945e+01
1.400079999999999991e+01
1.415989999999999860e+01
1.431899999999999906e+01
1.447809999999999953e+01
1.463719999999999999e+01
1.479629999999999868e+01
1.495539999999999914e+01
1.511449999999999960e+01
1.527359999999999829e+01
1.543269999999999875e+01
1.559179999999999922e+01
1.575089999999999968e+01
|
d2c3aba076f5ba48850e2baa49852e30c255afc8
|
2023-03-17T10:32:43.557160
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8803556993, "avg_line_length": 24.9898989899, "ext": "txt", "max_forks_count": 18, "max_forks_repo_forks_event_max_datetime": "2022-01-04T14:54:16.000Z", "max_forks_repo_forks_event_min_datetime": "2018-02-13T20:36:03.000Z", "max_forks_repo_head_hexsha": "993434bea0d3bca439a733a12af78034c911690c", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "ORNL-Fusion/xolotl", "max_forks_repo_path": "UQ/modelError/uqtkXolotl/FluxData/Amorphous/xdata.txt", "max_issues_count": 97, "max_issues_repo_head_hexsha": "993434bea0d3bca439a733a12af78034c911690c", "max_issues_repo_issues_event_max_datetime": "2022-03-29T16:29:48.000Z", "max_issues_repo_issues_event_min_datetime": "2018-02-14T15:24:08.000Z", "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "ORNL-Fusion/xolotl", "max_issues_repo_path": "UQ/modelError/uqtkXolotl/FluxData/Amorphous/xdata.txt", "max_line_length": 24, "max_stars_count": 13, "max_stars_repo_head_hexsha": "993434bea0d3bca439a733a12af78034c911690c", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "ORNL-Fusion/xolotl", "max_stars_repo_path": "UQ/modelError/uqtkXolotl/FluxData/W110/xdata.txt", "max_stars_repo_stars_event_max_datetime": "2021-09-30T02:39:01.000Z", "max_stars_repo_stars_event_min_datetime": "2018-06-13T18:08:57.000Z", "size": 2474}
| 2022-12-01T00:00:00 |
text
| 8,142 |
mr. speaker , i yield 1 3/4 minutes to the gentleman from texas ( mr. smith ) xz4003811 .
|
b7ddf123610a60fc29fc0c032ccadf172c5e354f
|
2023-03-17T10:20:33.665763
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7032967033, "avg_line_length": 45.5, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2020-10-31T02:49:16.000Z", "max_forks_repo_forks_event_min_datetime": "2018-04-09T19:36:37.000Z", "max_forks_repo_head_hexsha": "fe5065d3af71511bdd0fcf437d1d9f15f9faf1ee", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "M0nica/python-foundations-hw", "max_forks_repo_path": "13/convote_v1.1/data_stage_two/test_set/102_400171_0641030_ROY.txt", "max_issues_count": 18, "max_issues_repo_head_hexsha": "fe5065d3af71511bdd0fcf437d1d9f15f9faf1ee", "max_issues_repo_issues_event_max_datetime": "2022-03-11T23:20:33.000Z", "max_issues_repo_issues_event_min_datetime": "2018-04-26T15:10:37.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "M0nica/python-foundations-hw", "max_issues_repo_path": "13/convote_v1.1/data_stage_two/test_set/102_400171_0641030_ROY.txt", "max_line_length": 90, "max_stars_count": 23, "max_stars_repo_head_hexsha": "fe5065d3af71511bdd0fcf437d1d9f15f9faf1ee", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "M0nica/python-foundations-hw", "max_stars_repo_path": "13/convote_v1.1/data_stage_two/test_set/102_400171_0641030_ROY.txt", "max_stars_repo_stars_event_max_datetime": "2021-11-22T14:54:17.000Z", "max_stars_repo_stars_event_min_datetime": "2018-05-17T17:00:57.000Z", "size": 91}
| 2022-12-01T00:00:00 |
text
| 8,143 |
-5926431735175641972
|
4a36075d9c11d120560cd1d2dcbd844c495e92ed
|
2023-03-17T10:35:19.455220
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.9047619048, "avg_line_length": 10.5, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2020-07-26T14:29:48.000Z", "max_forks_repo_forks_event_min_datetime": "2020-07-26T14:29:48.000Z", "max_forks_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "SCECcode/CSEPcode", "max_forks_repo_path": "results/2009-11-28/scec.csep.RELMTest.L-Test_STEP_11_28_2009-fromXML-randomSeed.1262083521.442378.1/L-Test_STEP_11_28_2009-fromXML-simulation460_1-randomSeed.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "SCECcode/CSEPcode", "max_issues_repo_path": "results/2009-11-28/scec.csep.RELMTest.L-Test_STEP_11_28_2009-fromXML-randomSeed.1262083521.442378.1/L-Test_STEP_11_28_2009-fromXML-simulation460_1-randomSeed.txt", "max_line_length": 20, "max_stars_count": null, "max_stars_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "SCECcode/CSEPcode", "max_stars_repo_path": "results/2009-11-28/scec.csep.RELMTest.L-Test_STEP_11_28_2009-fromXML-randomSeed.1262083521.442378.1/L-Test_STEP_11_28_2009-fromXML-simulation460_1-randomSeed.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 21}
| 2022-12-01T00:00:00 |
text
| 8,144 |
VTKModular
# Source files and their labels
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleDrawPolygonPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleFlightPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleImagePython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleJoystickActorPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleJoystickCameraPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleMultiTouchCameraPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBand2DPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBand3DPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBandPickPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBandZoomPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTerrainPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTrackballActorPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTrackballCameraPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTrackballPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleUnicamPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleUserPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleSwitchPython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkParallelCoordinatesInteractorStylePython.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractionStylePythonInitImpl.cxx
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleDrawPolygonPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleFlightPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleImagePython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleJoystickActorPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleJoystickCameraPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleMultiTouchCameraPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBand2DPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBand3DPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBandPickPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleRubberBandZoomPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTerrainPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTrackballActorPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTrackballCameraPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleTrackballPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleUnicamPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleUserPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractorStyleSwitchPython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkParallelCoordinatesInteractorStylePython.cxx.rule
/home/softkoo/pcl/python-pcl/VTK-7.1.1/build/Wrapping/Python/vtkInteractionStylePythonInit.cxx.rule
|
5cef08849e80ddfd4d7f258b2664c8b3e7b40bea
|
2023-03-17T10:39:16.896172
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.848857645, "avg_line_length": 94.8333333333, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "2a66797719f1b5af7d6a0d0893f697b3786db461", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "likewatchk/python-pcl", "max_forks_repo_path": "VTK-7.1.1/build/Wrapping/Python/CMakeFiles/vtkInteractionStylePythonD.dir/Labels.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "2a66797719f1b5af7d6a0d0893f697b3786db461", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "likewatchk/python-pcl", "max_issues_repo_path": "VTK-7.1.1/build/Wrapping/Python/CMakeFiles/vtkInteractionStylePythonD.dir/Labels.txt", "max_line_length": 113, "max_stars_count": null, "max_stars_repo_head_hexsha": "2a66797719f1b5af7d6a0d0893f697b3786db461", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "likewatchk/python-pcl", "max_stars_repo_path": "VTK-7.1.1/build/Wrapping/Python/CMakeFiles/vtkInteractionStylePythonD.dir/Labels.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 3983}
| 2022-12-01T00:00:00 |
text
| 8,145 |
*mkdx.txt* Mappings for markdown syntax
*mkdx*
`Author: Sidney Liebrand |||EMAIL_ADDRESS||| `Version: 1.10.0`
` 888b d888 888 d8P 8888888b. Y88b d88P`
` , - /| 8888b d8888 888 d8P 888 "Y88b Y88b d88P |\ - ,`
` / = / | 88888b.d88888 888 d8P 888 888 Y88o88P | \ = \`
` / = / | 888Y88888P888 888d88K 888 888 Y888P | \ = \`
` \ = \ | 888 Y888P |||PHONE_NUMBER||| b 888 888 d888b | / = /`
`\ = \ | 888 Y8P 888 888 Y88b 888 888 d88888b | / = /`
` ' - \| 888 " 888 888 Y88b 888 .d88P d88P Y88b |/ - '`
` 888 888 888 Y88b 8888888P" d88P Y88b`
==============================================================================
CONTENTS *mkdx-toc* *mkdx-contents*
*mkdx-tags* *mkdx-help* *mkdx-helptags*
To jump to this table of contents, use |go| or |gg|.
- |mkdx.txt|, |mkdx|
- |mkdx-contents|, |mkdx-toc|, |mkdx-helptags|, |mkdx-tags|, |mkdx-help|
- |mkdx-menu|
- |mkdx-introduction|
- |mkdx-development|
*mkdx-toc-settings*
Settings `.......................................................` |mkdx-settings|
gf_on_steroids `...............................` |mkdx-setting-gf-on-steroids|
links.external.enable `.................` |mkdx-setting-links-external-enable|
links.external.timeout `...............` |mkdx-setting-links-external-timeout|
links.external.host `.....................` |mkdx-setting-links-external-host|
links.external.user_agent `.................` |mkdx-setting-links-external-ua|
links.external.relative `..................` |mkdx-setting-links-external-rel|
links.fragment.jumplist `.............` |mkdx-setting-links-fragment-jumplist|
links.fragment.complete `.............` |mkdx-setting-links-fragment-complete|
links.conceal `.................................` |mkdx-setting-links-conceal|
image_extension_pattern `..............` |mkdx-setting-links-fragment-pattern|
restore_visual `...............................` |mkdx-setting-restore-visual|
map.prefix `.......................................` |mkdx-setting-map-prefix|
map.enable `.......................................` |mkdx-setting-map-enable|
checkbox.toggles `...........................` |mkdx-setting-checkbox-toggles|
checkbox.update_tree `...................` |mkdx-setting-checkbox-update-tree|
checkbox.initial_state `...............` |mkdx-setting-checkbox-initial-state|
tokens.header `.................................` |mkdx-setting-tokens-header|
tokens.enter `...................................` |mkdx-setting-tokens-enter|
tokens.fence `...................................` |mkdx-setting-tokens-fence|
tokens.italic `.................................` |mkdx-setting-tokens-italic|
tokens.bold `.....................................` |mkdx-setting-tokens-bold|
tokens.strike `.................................` |mkdx-setting-tokens-strike|
tokens.list `.....................................` |mkdx-setting-tokens-list|
table.header_divider `...................` |mkdx-setting-table-header-divider|
table.divider `.................................` |mkdx-setting-table-divider|
tab.enable `.......................................` |mkdx-setting-tab-enable|
enter.increment `.............................` |mkdx-setting-enter-increment|
enter.enable `...................................` |mkdx-setting-enter-enable|
enter.shift `.....................................` |mkdx-setting-enter-shift|
enter.o `.............................................` |mkdx-setting-enter-o|
enter.shifto `...................................` |mkdx-setting-enter-shifto|
enter.malformed `.............................` |mkdx-setting-enter-malformed|
toc.text `...........................................` |mkdx-setting-toc-text|
toc.list_token `...............................` |mkdx-setting-toc-list-token|
toc.position `...................................` |mkdx-setting-toc-position|
toc.update_on_write `.....................` |mkdx-setting-toc-update-on-write|
toc.details.enable `.......................` |mkdx-setting-toc-details-enable|
toc.details.summary `.....................` |mkdx-setting-toc-details-summary|
toc.details.nesting_level `.........` |mkdx-setting-toc-details-nesting-level|
toc.details.child_count `.............` |mkdx-setting-toc-details-child-count|
toc.details.child_summary `.........` |mkdx-setting-toc-details-child-summary|
highlight.enable `...........................` |mkdx-setting-highlight-enable|
highlight.frontmatter.yaml `.......` |mkdx-setting-highlight-frontmatter-yaml|
highlight.frontmatter.toml `.......` |mkdx-setting-highlight-frontmatter-toml|
highlight.frontmatter.json `.......` |mkdx-setting-highlight-frontmatter-json|
auto_update.enable `.......................` |mkdx-setting-auto-update-enable|
fold.enable `.....................................` |mkdx-setting-fold-enable|
fold.components `.............................` |mkdx-setting-fold-components|
*mkdx-toc-highlighting*
Highlighting `...............................................` |mkdx-highlighting|
mkdxYAMLHeader `...........................` |mkdx-highlight-yaml-frontmatter|
mkdxTOMLHeader `...........................` |mkdx-highlight-TOML-frontmatter|
mkdxJSONHeader `...........................` |mkdx-highlight-JSON-frontmatter|
mkdxListItem `....................................` |mkdx-highlight-list-item|
mkdxCheckboxEmpty `..........................` |mkdx-highlight-checkbox-empty|
mkdxCheckboxPending `......................` |mkdx-highlight-checkbox-pending|
mkdxCheckboxComplete `....................` |mkdx-highlight-checkbox-complete|
mkdxTable `...........................................` |mkdx-highlight-table|
mkdxTableDelimiter `........................` |mkdx-highlight-table-delimiter|
mkdxTableAlign `................................` |mkdx-highlight-table-align|
mkdxTableHeader `..............................` |mkdx-highlight-table-header|
mkdxTableHeadDelimiter `...............` |mkdx-highlight-table-head-delimiter|
mkdxTableCaption `............................` |mkdx-highlight-table-caption|
mkdxTableCaptionDelimiter `.........` |mkdx-highlight-table-caption-delimiter|
mkdxKbdText `......................................` |mkdx-highlight-kbd-text|
mkdxKbdOpening `................................` |mkdx-highlight-kbd-opening|
mkdxKbdEnding `..................................` |mkdx-highlight-kbd-ending|
mkdxBoldItalic `................................` |mkdx-highlight-bold-italic|
mkdxBoldItalicDelimiter `.............` |mkdx-highlight-bold-italic-delimiter|
mkdxInlineCode `................................` |mkdx-highlight-inline-code|
mkdxInlineCodeDelimiter `.............` |mkdx-highlight-inline-code-delimiter|
mkdxTildeFence `................................` |mkdx-highlight-tilde-fence|
mkdxCriticAddition `........................` |mkdx-highlight-critic-addition|
mkdxCriticAddStartMark `..............` |mkdx-highlight-critic-add-start-mark|
mkdxCriticAddEndMark `..................` |mkdx-highlight-critic-add-end-mark|
mkdxCriticDeletion `........................` |mkdx-highlight-critic-deletion|
mkdxCriticDelStartMark `..............` |mkdx-highlight-critic-del-start-mark|
mkdxCriticDelEndMark `..................` |mkdx-highlight-critic-del-end-mark|
mkdxCriticSubRemove `.....................` |mkdx-highlight-critic-sub-remove|
mkdxCriticSubStartMark `..............` |mkdx-highlight-critic-sub-start-mark|
mkdxCriticSubstitute `....................` |mkdx-highlight-critic-substitute|
mkdxCriticSubTransMark `..............` |mkdx-highlight-critic-sub-trans-mark|
mkdxCriticSubEndMark `..................` |mkdx-highlight-critic-sub-end-mark|
mkdxCriticComment `..........................` |mkdx-highlight-critic-comment|
mkdxCriticHighlight `......................` |mkdx-highlight-critic-highlight|
mkdxCriticExtra `..............................` |mkdx-highlight-critic-extra|
*mkdx-toc-plugs*
Plugs `.............................................................` |mkdx-plugs|
<Plug>(mkdx-ctrl-n-compl) `.........................` |mkdx-plug-ctrl-n-compl|
<Plug>(mkdx-ctrl-p-compl) `.........................` |mkdx-plug-ctrl-p-compl|
<Plug>(mkdx-link-compl) `.............................` |mkdx-plug-link-compl|
<Plug>(mkdx-checkbox-next-n) `...................` |mkdx-plug-checkbox-next-n|
<Plug>(mkdx-checkbox-next-v) `...................` |mkdx-plug-checkbox-next-v|
<Plug>(mkdx-checkbox-prev-n) `...................` |mkdx-plug-checkbox-prev-n|
<Plug>(mkdx-checkbox-prev-v) `...................` |mkdx-plug-checkbox-prev-v|
<Plug>(mkdx-promote-header) `.....................` |mkdx-plug-promote-header|
<Plug>(mkdx-demote-header) `.......................` |mkdx-plug-demote-header|
<Plug>(mkdx-wrap-link-n) `...........................` |mkdx-plug-wrap-link-n|
<Plug>(mkdx-wrap-link-v) `...........................` |mkdx-plug-wrap-link-v|
<Plug>(mkdx-jump-to-header) `.....................` |mkdx-plug-jump-to-header|
<Plug>(mkdx-tableize) `.................................` |mkdx-plug-tableize|
<Plug>(mkdx-generate-toc) `.........................` |mkdx-plug-generate-toc|
<Plug>(mkdx-update-toc) `.............................` |mkdx-plug-update-toc|
<Plug>(mkdx-gen-or-upd-toc) `..................` |mkdx-plug-gen-or-update-toc|
<Plug>(mkdx-quickfix-toc) `.........................` |mkdx-plug-quickfix-toc|
<Plug>(mkdx-quickfix-links) `.....................` |mkdx-plug-quickfix-links|
<Plug>(mkdx-text-bold-n) `...................` |mkdx-plug-wrap-text-in-bold-n|
<Plug>(mkdx-text-bold-v) `...................` |mkdx-plug-wrap-text-in-bold-v|
<Plug>(mkdx-text-italic-n) `...............` |mkdx-plug-wrap-text-in-italic-n|
<Plug>(mkdx-text-italic-v) `...............` |mkdx-plug-wrap-text-in-italic-v|
<Plug>(mkdx-text-strike-n) `...........` |mkdx-plug-wrap-text-in-strike-tag-n|
<Plug>(mkdx-text-strike-v) `...........` |mkdx-plug-wrap-text-in-strike-tag-v|
<Plug>(mkdx-text-inline-code-n) `.......` |mkdx-plug-wrap-text-in-backticks-n|
<Plug>(mkdx-text-inline-code-v) `.......` |mkdx-plug-wrap-text-in-backticks-v|
<Plug>(mkdx-toggle-checkbox-n) `.................` |mkdx-plug-toggle-checkbox|
<Plug>(mkdx-toggle-checkbox-v) `...............` |mkdx-plug-toggle-checkbox-v|
<Plug>(mkdx-toggle-checklist-n) `...............` |mkdx-plug-toggle-checklist|
<Plug>(mkdx-toggle-checklist-v) `.............` |mkdx-plug-toggle-checklist-v|
<Plug>(mkdx-toggle-list-n) `.........................` |mkdx-plug-toggle-list|
<Plug>(mkdx-toggle-list-v) `.......................` |mkdx-plug-toggle-list-v|
<Plug>(mkdx-toggle-to-kbd-n) `...................` |mkdx-plug-toggle-to-kbd-n|
<Plug>(mkdx-toggle-to-kbd-v) `...................` |mkdx-plug-toggle-to-kbd-v|
<Plug>(mkdx-toggle-quote-n) `....................` |mkdx-plug-toggle-to-quote|
<Plug>(mkdx-toggle-quote-v) `..................` |mkdx-plug-toggle-to-quote-v|
<Plug>(mkdx-enter) `.......................................` |mkdx-plug-enter|
<Plug>(mkdx-shift-enter) `...........................` |mkdx-plug-shift-enter|
<Plug>(mkdx-o) `...............................................` |mkdx-plug-o|
<Plug>(mkdx-shift-o) `...................................` |mkdx-plug-shift-o|
<Plug>(mkdx-insert-kbd) `.............................` |mkdx-plug-insert-kbd|
<Plug>(mkdx-fence-tilde) `...........................` |mkdx-plug-fence-tilde|
<Plug>(mkdx-fence-backtick) `.....................` |mkdx-plug-fence-backtick|
<Plug>(mkdx-gf) `.............................................` |mkdx-plug-gf|
<Plug>(mkdx-gx) `.............................................` |mkdx-plug-gx|
<Plug>(mkdx-gf-visual) `............................... `|mkdx-plug-gf-visual|
<Plug>(mkdx-gx-visual) `...............................` |mkdx-plug-gx-visual|
<Plug>(mkdx-indent) `.....................................` |mkdx-plug-indent|
<Plug>(mkdx-unindent) `.................................` |mkdx-plug-unindent|
<Plug>(mkdx-next-section) `.........................` |mkdx-plug-next-section|
<Plug>(mkdx-prev-section) `.........................` |mkdx-plug-prev-section|
*mkdx-toc-mappings*
Mappings `.......................................................` |mkdx-mappings|
Insert link completion `...............` |mkdx-mapping-insert-link-completion|
Insert fenced code block `...........` |mkdx-mapping-insert-fenced-code-block|
Insert `<kbd />` shortcut `.................` |mkdx-mapping-insert-kbd-shortcut|
Toggle checkbox forward `.............` |mkdx-mapping-toggle-checkbox-forward|
Toggle checkbox backward `...........` |mkdx-mapping-toggle-checkbox-backward|
Wrap text in link `.........................` |mkdx-mapping-wrap-text-in-link|
Wrap text in bold `.........................` |mkdx-mapping-wrap-text-in-bold|
Wrap text in italic `.....................` |mkdx-mapping-wrap-text-in-italic|
Wrap text in `<strike />` tag `.........` |mkdx-mapping-wrap-text-in-strike-tag|
Wrap text in backticks `...............` |mkdx-mapping-wrap-text-in-backticks|
Increment header level `...............` |mkdx-mapping-increment-header-level|
Decrement header level `...............` |mkdx-mapping-decrement-header-level|
CSV to markdown table `.................` |mkdx-mapping-csv-to-markdown-table|
Toggle quote `...................................` |mkdx-mapping-toggle-quote|
List items `.......................................` |mkdx-mapping-list-items|
Generate or update table of contents `.` |mkdx-mapping-generate-or-update-toc|
Quickfix table of contents `.......` |mkdx-mapping-quickfix-table-of-contents|
Quickfix dead links `.....................` |mkdx-mapping-quickfix-dead-links|
Jump to header `...............................` |mkdx-mapping-jump-to-header|
Toggle checkbox `.............................` |mkdx-mapping-toggle-checkbox|
Toggle checklist `...........................` |mkdx-mapping-toggle-checklist|
Toggle list `.....................................` |mkdx-mapping-toggle-list|
Toggle kbd shortcut `.....................` |mkdx-mapping-toggle-kbd-shortcut|
Jump to file `...................................` |mkdx-mapping-jump-to-file|
Open external file `.......................` |mkdx-mapping-open-external-file|
Jump to next section `...................` |mkdx-mapping-jump-to-next-section|
Jump to prev section `...................` |mkdx-mapping-jump-to-prev-section|
*mkdx-toc-functions*
Functions `.....................................................` |mkdx-functions|
mkdx#ToggleCheckboxState() `.................` |mkdx-function-toggle-checkbox|
mkdx#WrapLink() `..................................` |mkdx-function-wrap-link|
mkdx#ToggleQuote() `............................` |mkdx-function-toggle-quote|
mkdx#ToggleQuoteSelection() `.........` |mkdx-function-toggle-quote-selection|
mkdx#ToggleHeader() `..........................` |mkdx-function-toggle-header|
mkdx#JumpToHeader() `.........................` |mkdx-function-jump-to-header|
mkdx#Tableize() `...................................` |mkdx-function-tableize|
mkdx#EnterHandler() `..........................` |mkdx-function-enter-handler|
mkdx#ShiftEnterHandler() `...............` |mkdx-function-shift-enter-handler|
mkdx#OHandler() `..................................` |mkdx-function-o-handler|
mkdx#ShiftOHandler() `.......................` |mkdx-function-shift-o-handler|
mkdx#GenerateTOC() `............................` |mkdx-function-generate-toc|
mkdx#UpdateTOC() `................................` |mkdx-function-update-toc|
mkdx#GenerateOrUpdateTOC() `..........` |mkdx-function-generate-or-update-toc|
mkdx#QuickfixHeaders() `....................` |mkdx-function-quickfix-headers|
mkdx#QuickfixDeadLinks() `...............` |mkdx-function-quickfix-dead-links|
mkdx#ToggleCheckboxTask() `.............` |mkdx-function-toggle-checkbox-task|
mkdx#ToggleChecklist() `....................` |mkdx-function-toggle-checklist|
mkdx#ToggleList() `..............................` |mkdx-function-toggle-list|
mkdx#ToggleToKbd() `...........................` |mkdx-function-toggle-to-kbd|
mkdx#Complete() `...................................` |mkdx-function-complete|
mkdx#CompleteLink() `..........................` |mkdx-function-complete-link|
mkdx#InsertCtrlNHandler() `............` |mkdx-function-insert-ctrl-n-handler|
mkdx#InsertCtrlPHandler() `............` |mkdx-function-insert-ctrl-p-handler|
mkdx#fold() `...........................................` |mkdx-function-fold|
mkdx#WrapText() `..................................` |mkdx-function-wrap-text|
mkdx#WrapStrike() `..............................` |mkdx-function-wrap-strike|
mkdx#gf() `...............................................` |mkdx-function-gf|
mkdx#gf_visual() `.................................` |mkdx-function-gf-visual|
mkdx#MaybeRestoreVisual() `.............` |mkdx-function-maybe-restore-visual|
mkdx#IndentHandler() `........................` |mkdx-function-indent-handler|
mkdx#JumpToSection() `.......................` |mkdx-function-jump-to-section|
*mkdx-toc-errors*
Errors `...........................................................` |mkdx-errors|
Type `......................................................` |mkdx-error-type|
Minimum length `......................................` |mkdx-error-min-length|
Between `................................................` |mkdx-error-between|
Only valid `..........................................` |mkdx-error-only-valid|
Only list `............................................` |mkdx-error-only-list|
*mkdx-toc-deprecated*
Deprecated `...................................................` |mkdx-deprecated|
V1.8.0 `.............................................` |mkdx-deprecated-v1.8.0|
==============================================================================
INTRODUCTION *mkdx-introduction*
mkdx.vim is a `markdown` plugin that aims to reduce the time you spend
formatting your markdown documents. It does this by adding some configurable
mappings for files with a markdown {filetype}. Functions are included to
handle lists, checkboxes, fenced code blocks, shortcuts, headers and links.
In addition to that, this plugin provides a mapping to convert a selection of
CSV data to a markdown table. See the the {README.md} for gifs :)
This plugin is also compatible with
{repeat.vim}(https://github.com/tpope/vim-repeat) by Tim Pope.
Every _normal_ mode mapping can be repeated with the `.` command.
Bug reports and feature requests are welcome at
https://github.com/sidofc/mkdx/issues and PR's are welcome at
https://github.com/sidofc/mkdx/pulls.
==============================================================================
|MENU| *mkdx-menu*
|mkdx| also has |menu| support. The menu will become available under
`:menu Plugin.mkdx` -- from there, the mappings and their respective commands
can be found.
NOTE: If you haven't opened a file with |filetype|=`markdown` before, the menu
entries will not yet exist. Open a markdown file first before attempting to
view the menu.
==============================================================================
SETTINGS *mkdx-settings*
|mkdx| has some configurable settings that you can define. Defaults are shown
at the bottom of every setting section. The default settings hash:
`let g:mkdx#settings = {`
` \ 'image_extension_pattern': 'a\?png\|jpe\?g\|gif',`
` \ 'gf_on_steroids': 0,`
` \ 'restore_visual': 1,`
` \ 'enter': { 'enable': 1, 'shift': 0, 'o': 1,`
` \ 'shifto': 1, 'malformed': 1 },`
` \ 'map': { 'prefix': '<leader>', 'enable': 1 },`
` \ 'tokens': { 'enter': ['-', '*', '>'],`
` \ 'bold': '**', 'italic': '*',`
` \ 'strike': '',`
` \ 'list': '-', 'fence': '',`
` \ 'header': '#' },`
` \ 'checkbox': { 'toggles': [' ', '-', 'x'],`
` \ 'update_tree': 2,`
` \ 'initial_state': ' ' },`
` \ 'toc': { 'text': "TOC",`
` \ 'list_token': '-',`
` \ 'position': 0,`
` \ 'update_on_write': 0,`
` \ 'details': {`
` \ 'enable': 0,`
` \ 'summary': '{{toc.text}}'`
`\ 'nesting_level': -1,`
`\ 'child_count': 5,`
`\ 'child_summary': 'show {{count}} items'`
` \ }`
` \ },`
` \ 'table': { 'divider': '|',`
` \ 'header_divider': '-',`
` \ 'align': {`
`\ 'left': [],`
`\ 'right': [],`
`\ 'center': [],`
`\ 'default': 'center'`
`\ }`
`\ },`
`\ 'links': { 'external': {`
`\ 'enable': 0,`
`\ 'timeout': 3,`
`\ 'host': '',`
`\ 'relative': 1,`
`\ 'user_agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/9001.0.0000.000 vim-mkdx/1.10.0'`
`\ },`
`\ 'fragment': {`
`\ 'jumplist': 1,`
`\ 'complete': 1`
`\ },`
`\ 'conceal': 1`
`\ },`
`\ 'highlight': {`
`\ 'enable': 0,`
`\ 'frontmatter': {`
`\ 'yaml': 1,`
`\ 'toml': 0,`
`\ 'json': 0`
`\ }`
`\ },`
` \ 'auto_update': { 'enable': 1 },`
`\ 'fold': { 'enable': 0, 'components': ['toc', 'fence'] }`
` \ }`
To overwrite a setting, simply write it as seen above:
`let g:mkdx#settings = { 'enter': { 'enable': 0 } }`
**NOTE:** the form shown above MUST be used in your .vimrc,
the short form: `let g:mkdx#settings.some.setting` can NOT be used during
initialization. This results in an error "g:mkdx#settings is undefined"!
To overwrite a setting AFTER initialization (e.g. after loading .vimrc):
`:let g:mkdx#settings.enter.enable = 0`
Don't worry about overwriting `g:mkdx#settings` during initialization,
it will be merged with the defaults to fill in any missing keys.
To maintain backwards compatibility with all of the `g:` settings, mkdx first
checks if a `g:` setting exists and overwrites the defaults with them, so
setting `g:mkdx#settings.enter.enable = 0` will have the same effect.
If both a `g:` setting and a `g:mkdx#settings = { ... }` value are found, the
value defined in the settings hash will end up being used, e.g. the
`g:mkdx#settings` variable takes precedence.
Below a mapping of settings to global variables:
s:defaults.gf_on_steroids `=>`
s:defaults.links.external.enable `=>`
s:defaults.links.external.host `=>`
s:defaults.links.external.timeout `=>`
s:defaults.links.external.relative `=>`
s:defaults.links.external.user_agent `=>`
s:defaults.links.fragment.jumplist `=>`
s:defaults.links.fragment.complete `=>`
s:defaults.links.conceal `=>`
s:defaults.image_extension_pattern `=>` g:mkdx#link_as_img_pat
s:defaults.restore_visual `=>` g:mkdx#restore_visual
s:defaults.map.prefix `=>` g:mkdx#map_prefix
s:defaults.map.enable `=>` g:mkdx#map_keys
s:defaults.checkbox.toggles `=>` g:mkdx#checkbox_toggles
s:defaults.checkbox.update_tree `=>` g:mkdx#checklist_update_tree
s:defaults.checkbox.initial_state `=>` g:mkdx#checkbox_initial_state
s:defaults.table.header_divider `=>` g:mkdx#table_header_divider
s:defaults.table.divider `=>` g:mkdx#table_divider
s:defaults.tokens.header `=>` g:mkdx#header_style
s:defaults.tokens.enter `=>` g:mkdx#list_tokens
s:defaults.tokens.fence `=>` g:mkdx#fence_style
s:defaults.tokens.bold `=>` g:mkdx#bold_token
s:defaults.tokens.strike `=>`
s:defaults.tokens.italic `=>` g:mkdx#italic_token
s:defaults.tokens.list `=>` g:mkdx#list_token
s:defaults.enter.enable `=>` g:mkdx#enhance_enter
s:defaults.enter.malformed `=>` g:mkdx#handle_malformed_indent
s:defaults.enter.o `=>`
s:defaults.enter.shifto `=>`
s:defaults.enter.shift `=>`
s:defaults.toc.list_token `=>` g:mkdx#toc_list_token
s:defaults.toc.text `=>` g:mkdx#toc_text
s:defaults.toc.position `=>`
s:defaults.toc.update_on_write `=>`
s:defaults.toc.details.enable `=>`
s:defaults.toc.details.summary `=>`
s:defaults.toc.details.nesting_level `=>`
s:defaults.toc.details.child_count `=>`
s:defaults.toc.details.child_summary `=>`
s:defaults.highlight.enable `=>`
s:defaults.highlight.frontmatter.yaml `=>`
s:defaults.highlight.frontmatter.toml `=>`
s:defaults.highlight.frontmatter.json `=>`
==============================================================================
`g:mkdx#settings.gf_on_steroids = 0` *mkdx-setting-gf-on-steroids*
mkdx provides enhanced versions of both <gf> and <gx> while editing markdown
files. They aren't too special aside from the fact that you can open local
files (<gf>) and urls / images (<gx>) with your cursor placed anywhere in a
link. Aside from that, they function as you would expect from either mapping.
This setting allows the features of <gf> (opening local files) and <gx>
(opening urls / images externally) to be usable in each mapping. This means
that enabling it will allow you to open urls / images externally using <gf> as
well as opening files locally using <gx>.
==============================================================================
`g:mkdx#settings.links.external.enable = 0` *mkdx-setting-links-external-enable*
Check external links as well as absolute and relative paths aside from
fragment links. Requires Neovim |job-control| or Regular vim |job|.
The following CURL command will be executed in the background:
`curl -L -I -s --no-keepalive -o /dev/null \`
`-m [g:mkdx#settings.links.external.timeout] -w "%{http_code}"' \`
`-A [g:mkdx#settings.links.external.user_agent] [URL];`
See |mkdx-setting-links-external-timeout| for the value of `-m` and
|mkdx-setting-links-external-ua| for `-A`.
When a relative URL is encountered, mkdx attempts to convert it to an absolute
path. This only works inside a `git` repository at the moment. `git ls-remote`
output will be used to construct an absolute URL. This behaviour can
overridden by setting |mkdx-setting-links-external-host|. Relative link
checking can be disabled all together by setting
|mkdx-setting-links-external-rel| to `0`.
==============================================================================
`g:mkdx#settings.links.external.timeout = 3` *mkdx-setting-links-external-timeout*
This is the maximum time in seconds a request may take.
By default it is set to `3`. After this time, the request is cancelled and
added to the quickfix list.
==============================================================================
`g:mkdx#settings.links.external.host = ''` *mkdx-setting-links-external-host*
When a host is supplied, mkdx will not attempt to do `git ls-remote` detection
and instead, simply prepends host string provided. Since these links can
either be {relative} (url) or {absolute} (/url) some additional checks are
executed to prevent double slashes e.g: `localhost:3000//url`. Therefore you can
safely append or remove a trailing `/` from your host.
==============================================================================
`g:mkdx#settings.links.external.user_agent =` *mkdx-setting-links-external-ua*
` \ 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_1)' .`
` \ 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/9001 vim-mkdx/1.10.0'`
Specify an actual user agent to prevent being blocked from a website.
If you don't like being `Chrome/9001` then feel free to change it
into anything you like :)
==============================================================================
`g:mkdx#settings.links.external.relative = 0` *mkdx-setting-links-external-rel*
When set to `0`, relative links will be ignored while checking the document for
dead links. Relative URL's are defined as link paths that do not start with
a `#` (fragment URL) or `http` (protocol). Therefore both {relative} (url) and
{absolute} (/url) URL's are "relative" in this context, as no host is
provided. When |mkdx-setting-links-external-host| is empty, mkdx attempts to
construct an absolute path using `git ls-remote` output.
==============================================================================
`g:mkdx#settings.links.fragment.jumplist =` *mkdx-setting-links-fragment-jumplist*
` \ 1`
Specify wether or not to add the cursor position to the |jumplist| before
jumping to a header in the document with |mkdx-function-jump-to-header|.
The current cursor position will only be added to the |jumplist| when a valid
link is found, otherwise nothing will happen and the |jumplist| remains
untouched.
==============================================================================
`g:mkdx#settings.links.fragment.complete = `*mkdx-setting-links-fragment-complete*
` \ 1`
Autocomplete fragment links in |Insert-mode|. Set to `0` to disable,
|mkdx-setting-map-enable| must be enabled for <C-n> and <C-p> to be mapped.
Fragment links are completed by scanning the document for headers and
converting them to their respective hashes.
This setting modifies some functionality using `setlocal`.
The overrides include:
`setlocal completefunc=mkdx#Complete`
`setlocal pumheight=15`
`setlocal iskeyword+=\-`
`setlocal completeopt=noinsert,menuone`
==============================================================================
`g:mkdx#settings.links.conceal = 1 ` *mkdx-setting-links-fragment-complete*
By default, if |conceallevel| is set to `2`, mkdx will also conceal
markdown link URLs. Setting the value of this setting to `0` will disable URL
concealing.
==============================================================================
`g:mkdx#settings.image_extension_pattern =` *mkdx-setting-image-extension-pattern*
`\ 'a\?png\|jpe\?g\|gif'`
Defines the extensions to search for when identifying the type of link that
|mkdx-function-wrap-link| will generate. Setting it to an empty string
disables image wrapping and a regular empty markdown link will be generated
instead.
This setting is also used in |mkdx-function-gf| to define known image
extensions that may be opened by an external program.
==============================================================================
`g:mkdx#settings.restore_visual = 1` *mkdx-setting-restore-visual*
This setting controls wether or not a visual mode mapping returns to visual
mode after running the command. Setting it to 0 means you will not go back
into visual mode.
==============================================================================
`g:mkdx#settings.map.prefix = '<leader>'` *mkdx-setting-map-prefix*
Set the prefix used by all mappings. It is not recommended to clear the prefix
because some of the keys are already mapped to other operations.
==============================================================================
`g:mkdx#settings.map.enable = 1` *mkdx-setting-map-enable*
This option allows you to control wether the plugin should map keys or not.
See the |mkdx-mappings| section to see how each mapping works.
==============================================================================
`g:mkdx#settings.checkbox.toggles = ` *mkdx-setting-checkbox-toggles*
`\ [' ', '-', 'x']`
(minimum list length: `2`)
This option allows you to specify different states to use for toggling
checkboxes. Special characters must be escaped! The default list contains:
- `[ ]` unstarted
- `[-]` incomplete
- `[x]` completed
Note:
There must be at least a minimum of 2 checkbox states. These are used by the
checklist toggler which updates the state of parent tasks automatically.
The first of the provided states (`g:mkdx#settings.checkbox.toggles[0]`) will
be used as `unstarted` value. The last of the provided states
(`g:mkdx#settings.checkbox.toggles[-1]`) will be used as `completed` value.
If the list contains more than 2 states, the second-to-last element
(`g:mkdx#settings.checkbox.toggles[-2]`) will be used as `incomplete` value.
==============================================================================
`g:mkdx#settings.checkbox.update_tree = 2` *mkdx-setting-checkbox-update-tree*
(valid values: `0`, `1`, `2`)
With this setting on, checkboxes that are toggled within checklists (lists of
checkboxes) cause parent and child list items to be updated automatically.
The states from |mkdx-setting-checkbox-toggles| are used to check and update the
statusses of any parents. Children are force updated to the same token of
their parent.
To disable this behaviour entirely, set this value to 0. If you do not want
children to be updated, set this value to 1 instead.
==============================================================================
`g:mkdx#settings.checkbox.initial_state =` *mkdx-setting-checkbox-initial-state*
`\ ' '`
When toggling between checkbox/checklist lines, using
|mkdx-mapping-toggle-checkbox| or |mkdx-mapping-toggle-checklist| this defines
what the default value of each inserted checkbox should be.
==============================================================================
`g:mkdx#settings.tokens.header = '#'` *mkdx-setting-tokens-header*
Header style to use when incrementing or decrementing header level.
Any character is allowed here, it will also be used when matching header lines
e.g. setting it to `@` matches `@@ Header` instead of `## Header`
==============================================================================
`g:mkdx#settings.tokens.enter = ['-', '*', '>']` *mkdx-setting-tokens-enter*
This list identifies which tokens at the start of a string are identified as a
"list token". See |mkdx-function-enter-handler| for examples.
==============================================================================
`g:mkdx#settings.tokens.fence = ''` *mkdx-setting-tokens-fence*
(valid values: `'```'`, `'~'`)
This setting allows you to override the fence style that is used when typing
three backticks or tilde characters. By default it is empty which means that
the typed key defines the fence style (so tildes are used when typing tildes,
ditto for backticks).
The fence style can be set to `'~'` or `'```'`. This will cause both tildes and
backticks to use the same style.
==============================================================================
`g:mkdx#settings.tokens.italic = '*'` *mkdx-setting-tokens-italic*
Token used by |mkdx-plug-text-italic-n| and |mkdx-plug-text-italic-v| to wrap
text in italic style.
==============================================================================
`g:mkdx#settings.tokens.bold = '**'` *mkdx-setting-tokens-bold*
Token used by |mkdx-plug-text-bold-n| and |mkdx-plug-text-bold-v| to wrap
text in bold style.
==============================================================================
`g:mkdx#settings.tokens.strike = ''` *mkdx-setting-tokens-strike*
Token used by |mkdx-function-wrap-strike| to wrap text with strike tags.
When empty, `<strike></strike>` will be used to wrap the selected content.
==============================================================================
`g:mkdx#settings.tokens.list = '-'` *mkdx-setting-tokens-list*
This token defines what list markers should be inserted when toggling list /
checklist items. It is also used by default in |mkdx-setting-toc-list-token|.
==============================================================================
`g:mkdx#settings.table.header_divider = '-'` *mkdx-setting-table-header-divider*
Change the default header divider used in |mkdx-function-tableize|.
==============================================================================
`g:mkdx#settings.table.divider = '|'` *mkdx-setting-table-divider*
Change the default divider used in |mkdx-function-tableize|.
==============================================================================
`g:mkdx#settings.table.align = {` *mkdx-setting-table-align*
` \ 'left': [],`
` \ 'right': [],`
` \ 'center': [],`
` \ 'default': 'center' }`
Control the alignment of content within table columns. Its value is a
dictionary with keys `center`, `left`, `right` and `default`. The `default` value is
used when a column name is not found in any of the `center`, `left` or `right` lists.
If you were to add `name` to the `left` list, e.g. `{ 'left': ['name'] }` and the
first row of your CSV has a column with the content `name`, that column will
be _left aligned_ (`|:----|`). Any other column would be _centered_ (`|:---:|`)
because they don't appear in any list so the `default` value `'center'` is used.
All comparisons will be made after applying |toLower()| to the two strings
being compared. This means column names are case-insensitive.
==============================================================================
`g:mkdx#settings.enter.enable = 1` *mkdx-setting-enter-enable*
When pressing <Cr> in insert mode, this handles appending of new list items
in lists. See |mkdx-setting-tokens-list| for a list of supported list tokens.
Examples can be found at |mkdx-function-enter-handler|.
This setting modifies some functionality using `setlocal`.
The overrides include:
`setlocal formatoptions-=r`
`setlocal autoindent`
==============================================================================
`g:mkdx#settings.tab.enable = 1` *mkdx-setting-tab-enable*
When enabled, pressing <Tab> and <S-Tab> will indent / unindent lines and
additionally renumber numbered list items.
==============================================================================
`g:mkdx#settings.enter.increment = 1` *mkdx-setting-enter-increment*
This setting defines increment done for each new item in numbered list,
Default value is `1` setting `0` will keep current index on new item.
`let g:mkdx#settings = { 'enter': { 'increment': 0 } }`
==============================================================================
`g:mkdx#settings.enter.shift = 0` *mkdx-setting-enter-shift*
Disabled by default, set to `1` to enable.
When <s-enter> is pressed in a list item, everything after the cursor position
is added to a new line below the current line. This line will not be a list
item and instead, the cursor is indented to the start of the text on the
previous line, e.g:
`- a list item`
`- a list item<s-enter>`
`- a list item`
Will produce:
`- a list item`
`- a list item`
`<cursor>`
`- a list item`
Instead of what would happen on a normal <enter>:
`- a list item`
`- a list item`
`- <cursor>`
`- a list item`
Note the missing `-` list marker when <s-enter> is used. Other list styles
defined in |mkdx-setting-tokens-list| and checkboxes are also recognized.
See |mkdx-function-shift-enter-handler| for more information.
You can continue adding inline content using <s-enter>. When you are ready to
create a new list item, use regular <enter>.
==============================================================================
`g:mkdx#settings.enter.o` *mkdx-setting-enter-o*
This setting also enables `o` to act like `<enter>` in the middle of lists /
checklists / tasks.
==============================================================================
`g:mkdx#settings.enter.shifto` *mkdx-setting-enter-shifto*
This setting also enables `O` to prepend a list item above the current line
and place your cursor on it.
==============================================================================
`g:mkdx#settings.enter.malformed = 1` *mkdx-setting-enter-malformed*
This setting defines behaviour to use when working with improperly indented
markdown files. At the moment it works for checklist items that do not have an
|indent()| which is divisible by 'shiftwidth'. In which case the indent will
be rounded up to the next indent if it is greater than `s:sw() / 2` otherwise it
will be rounded down to the previous indent.
In the following example, the second item belongs under "hello" but the
indentation is incorrect (imagine we're using a 'shiftwidth' of 4).
If the third line is toggled without `g:mkdx#settings.enter.malformed` set to
1, the malformed item will be incremented instead of the "hello" item.
- [ ] hello
- [-] hai `<= should not have been updated`
- [-] again `<= toggled`
With this setting on, the correct item will actually be checked:
- [-] hello `<= updated correctly`
- [ ] hai
- [-] again `<= toggled`
==============================================================================
`g:mkdx#settings.toc.text = 'TOC'` *mkdx-setting-toc-text*
Define the heading text to use in the table of contents.
==============================================================================
`g:mkdx#settings.toc.list_token = '-'` *mkdx-setting-toc-list-token*
Define the list style to use when generating a table of contents.
==============================================================================
`g:mkdx#settings.toc.position = 0` *mkdx-setting-toc-position*
The position at which to place the TOC, `0` is used for cursor line (default).
If a number `> 0` is supplied, the TOC will be generated ABOVE that header.
e.g. setting it to `1` will cause it to be the first heading of your document.
==============================================================================
`g:mkdx#settings.toc.update_on_write = 0` *mkdx-setting-toc-update-on-write*
This setting is disabled by default, set it to `1` to enable.
Since this feature requires |autocmd|, your vim needs `has('autocmd')`
for this to work.
Using the |BufWritePre| |autocmd|, mkdx has the ability to update the table of
contents automatically. The toc can be updated automatically when it is
already present somewhere on the page (e.g. generated using <leader-i>).
When the toc hasn't been generated and `g:mkdx#settings.toc.position > 0` then
the toc will be generated at that position (as nth header in document).
When `g:mkdx#settings.toc.position == 0` then the toc must first be generated
at the desired position using <leader-i>. As soon as the toc is present it
will be updated.
==============================================================================
`g:mkdx#settings.toc.details.enable = 0` *mkdx-setting-toc-details-enable*
This setting controls wether the generated TOC will be output as a regular
markdown list or inside a `<details>` tag. When this setting is enabled, the
generated output will be a nested html structure instead of markdown since
markdown within a `<details>` tag isn't supported on github.
This setting tries to keep formatting of inline code (between "`") by
replacing them with `<code>` tags.
If any HTML tag is found inside a `<code>` block, it is escaped by replacing
`<` with `<` and `>` with `>`.
==============================================================================
`g:mkdx#settings.toc.details.summary =` *mkdx-setting-toc-details-summary*
` \ 'Click to expand {{toc.text}}'`
When |mkdx-setting-toc-details-enable| is set to `1`, an additional `<summary>` tag
will be generated inside the `<details>` tag. The summary tag contains the
text to be displayed next to the expand/collapse arrow.
The placeholder `{{toc.text}}` is there to insert the contents of
|mkdx-setting-toc-text| during generation, it is completely optional and can
be omitted. If it is set to an empty string, |mkdx-setting-toc-text| will be used
by default.
==============================================================================
*mkdx-setting-toc-details-nesting-level*
`g:mkdx#settings.toc.details.nesting_level = -1`
Disabled by default, set to a value greater than `-1` to enable.
This setting allows additional `<details>` to be generated from specified
nesting level. It uses |mkdx-setting-toc-details-child-count| to determine the
amount of children to wrap and |mkdx-settings-toc-details-child-summary| to
specify the `<summary>` content inside the nested details tag.
This value always gets `1` added to it so setting it to `5` will cause H6
headers to be collapsed if the amount of children is atleast the specified
child count.
Setting this to any value greater than `5` prevents any wrapping from
happening since headings only go up to H6.
Note: This only works if the TOC is already present and a `<details>` TOC or
when |mkdx-setting-toc-details-enable| is set to `1`.
==============================================================================
*mkdx-setting-toc-details-child-count*
`g:mkdx#settings.toc.details.child_count = 5`
When |mkdx-setting-toc-details-nesting-level| is enabled, this setting defines
when to wrap. e.g. if there are 4 children in a list item no wrapping will
occur with the default value since it requires at least `5` list items to be
present. Reducing it to `3` would cause the children to be wrapped in a nested
details tag.
Setting this to `0` means that after specified
|mkdx-setting-toc-details-nesting-level| every list item that contains 1 or
more nested list items will be wrapped inside a details tag.
==============================================================================
*mkdx-setting-toc-details-child-summary*
`g:mkdx#settings.toc.details.child_summary = 'show {{count}} items'`
Controls the text to show inside nested details summary. The special
placeholder `{{count}}` is replaced with the amount of items hidden in the
details tag.
==============================================================================
`g:mkdx#settings.highlight.enable = 0` *mkdx-setting-highlight-enable*
Enables state-specific highlighting for checkboxes and generic highlighting
for tables, kbd tags, bold-italics and inline-code. Setting this will override
the syntax highlighting for list item markers (`-`, `*` or `1.1.` for example) in
addition to providing highlighting for checkboxes and tables.
The scheme goes as follows:
- Empty / unstarted checkboxes are colored red
- In progress checkboxes are colored orange
- Completed checkboxes are colored green
See the section |mkdx-highlighting| for details about how to customize the
colors.
==============================================================================
*mkdx-setting-highlight-frontmatter-yaml*
`g:mkdx#settings.highlight.frontmatter.yaml = 1`
By default mkdx enables YAML frontmatter syntax if YAML syntax highlighting is
available. When this setting is enabled when YAML syntax does not exist it
will be ignored.
==============================================================================
*mkdx-setting-highlight-frontmatter-toml*
`g:mkdx#settings.highlight.frontmatter.toml = 0`
By default mkdx does not enable TOML frontmatter since it is less common than
YAML. This allows markdown files to load a little bit faster, if you use TOML
frontmatter set this to `1`.
==============================================================================
*mkdx-setting-highlight-frontmatter-json*
`g:mkdx#settings.highlight.frontmatter.json = 0`
By default mkdx does not enable JSON frontmatter since it is less common than
YAML. This allows markdown files to load a little bit faster, if you use JSON
frontmatter set this to `1`.
==============================================================================
`g:mkdx#settings.auto_update.enable = 1` *mkdx-setting-auto-update-enable*
When enabled, changing certain settings in `g:mkdx#settings` will cause the
document to be updated instantly. This is done using |dictwatcheradd| by
checking if `has('*dictwatcheradd')` is true.
When you change the position of the table of contents for example:
`:let g:mkdx#settings.toc.position = 3`
Will automatically move the TOC to the third header position in the document.
Likewise, updating the header token instantly updates all headers:
`:let g:mkdx#settings.tokens.header = '@'`
Will automatically change all the headers to start with an `@` symbol.
Full list of instant-updated settings:
- `g:mkdx#settings.toc`
- `g:mkdx#settings.toc.text`
- `g:mkdx#settings.toc.details.enable`
- `g:mkdx#settings.toc.details.summary`
- `g:mkdx#settings.toc.details.nesting_level`
- `g:mkdx#settings.toc.details.child_count`
- `g:mkdx#settings.toc.details.child_summary`
- `g:mkdx#settings.toc.position`
- `g:mkdx#settings.tokens.header`
- `g:mkdx#settings.tokens.fence`
- `g:mkdx#settings.fold.components`
==============================================================================
`g:mkdx#settings.fold.enable = 0` *mkdx-setting-fold-enable*
Defined wether or not to enable folding. See |mkdx-function-fold| for examples.
This setting modifies some functionality using `setlocal`.
The overrides include:
`setlocal foldmethod=expr`
`setlocal foldexpr=mkdx#fold(v:lnum)`
NOTE: when `g:markdown_folding` is enabled, this functionality will no-op
because they do not work together nicely!
==============================================================================
`g:mkdx#settings.fold.coponents = ['toc', 'fence'] `*mkdx-setting-fold-components*
(valid list entries: `'toc'`, `'fence'`)
Defines what to fold, it must be a {list} consisting of the components you
want to enable. At the moment, the list can have two values:
`'toc'` => Fold the table of contents (when generated or recognized by mkdx).
`'fence'` => Fold fenced (``` or ~~~ blocks) code-blocks.
|mkdx-setting-fold-enable| must be set to `1` for this setting to work.
==============================================================================
HIGHLIGHTING *mkdx-highlighting*
mkdx provides opt-in highlighting for list items, checkboxes, tables,
fenced code-blocks, inline-code blocks and bold+italic (ex: `**_text_**`).
To do this, mkdx defines its own |syntax| groups specifically for these types.
Below you can find the defaults for each individual highlighting group. To
override the colors for a highlight group, see: |highlight|.
Also, when |conceallevel| is set to `2`, mkdx will also fold some components:
- `**_text_**` => `text`
- ``code`` => `code`
- `[link](url)` => `[link]`
==============================================================================
mkdxYAMLHeader *mkdx-highlight-yaml-frontmatter*
This syntax group does not apply its own highlighting, but rather allows
|yaml| highlighting to be active in a markdown frontmatter block.
This will only be activated if `syntax/yaml.vim` is found in 'rtp' and
|mkdx-setting-highlight-frontmatter-yaml| is enabled. If `syntax/yaml.vim`
is found but including it fails for some other reason this group
will still be created, but highlighting will not be applied.
==============================================================================
mkdxTOMLHeader *mkdx-highlight-toml-frontmatter*
Like |mkdx-highlight-yaml-frontmatter| but for TOML frontmatter.
==============================================================================
mkdxJSONHeader *mkdx-highlight-json-frontmatter*
Like |mkdx-highlight-yaml-frontmatter| but for JSON frontmatter.
==============================================================================
mkdxListItem *mkdx-highlight-list-item*
`highlight default link mkdxListItem Comment`
==============================================================================
mkdxCheckboxPending *mkdx-highlight-checkbox-pending*
mkdxCheckboxComplete *mkdx-highlight-checkbox-complete*
mkdxCheckboxEmpty *mkdx-highlight-checkbox-empty*
`highlight default link mkdxCheckboxPending gitcommitBranch`
`highlight default link mkdxCheckboxComplete gitcommitSelectedFile`
`highlight default link mkdxCheckboxEmpty gitcommitUnmergedFile`
==============================================================================
mkdxTable *mkdx-highlight-table*
mkdxTableDelimiter *mkdx-highlight-table-delimiter*
`highlight default link mkdxTable`
`highlight default link mkdxTableDelimiter Delimiter`
==============================================================================
mkdxTableAlign *mkdx-highlight-table-align*
`highlight default link mkdxTableAlign Identifier`
==============================================================================
mkdxTableHeader *mkdx-highlight-table-header*
mkdxTableHeadDelimiter *mkdx-highlight-table-head-delimiter*
`highlight default link mkdxTableHeader Constant`
`highlight default link mkdxTableHeadDelimiter Delimiter`
==============================================================================
mkdxTableCaption *mkdx-highlight-table-caption*
mkdxTableCaptionDelimiter *mkdx-highlight-table-caption-delimiter*
`highlight default link mkdxTableCaption Comment`
`highlight default link mkdxTableCaptionDelimiter Delimiter`
==============================================================================
mkdxKbdText *mkdx-highlight-kbd-text*
`highlight default link mkdxKbdText Constant`
==============================================================================
mkdxKbdOpening *mkdx-highlight-kbd-opening*
mkdxKbdEnding *mkdx-highlight-kbd-ending*
`highlight default link mkdxKbdOpening Delimiter`
`highlight default link mkdxKbdEnding mkdxKbdOpening`
==============================================================================
mkdxBoldItalic *mkdx-highlight-bold-italic*
mkdxBoldItalicDelimiter *mkdx-highlight-bold-italic-delimiter*
`highlight default link mkdxBoldItalic Delimiter`
`highlight default link mkdxBoldItalicDelimiter Delimiter`
==============================================================================
mkdxInlineCode *mkdx-highlight-inline-code*
mkdxInlineCodeDelimiter *mkdx-highlight-inline-code-delimiter*
`highlight default link mkdxInlineCode markdownCode`
`highlight default link mkdxInlineCodeDelimiter Delimiter`
==============================================================================
mkdxTildeFence *mkdx-highlight-tilde-fence*
`highlight default link mkdxTildeFence markdownCodeDelimiter`
==============================================================================
mkdxCriticAdd *mkdx-highlight-critic-add*
mkdxCriticAddition *mkdx-highlight-critic-addition*
mkdxCriticDel *mkdx-highlight-critic-del*
mkdxCriticDeletion *mkdx-highlight-critic-deletion*
mkdxCriticSubRemove *mkdx-highlight-sub-critic-remove*
mkdxCriticSubstitute *mkdx-highlight-critic-substitute*
mkdxCriticSubStartMark *mkdx-highlight-critic-sub-start-mark*
mkdxCriticSubTransMark *mkdx-highlight-critic-sub-trans-mark*
mkdxCriticSubEndMark *mkdx-highlight-critic-sub-end-mark*
mkdxCriticComment *mkdx-highlight-critic-comment*
mkdxCriticHighlight *mkdx-highlight-critic-highlight*
mkdxCriticExtra *mkdx-highlight-critic-extra*
`hi default link mkdxCriticAdd DiffText`
`hi default link mkdxCriticAddition DiffAdd`
`hi default link mkdxCriticDel DiffText`
`hi default link mkdxCriticDeletion DiffDelete`
`hi default link mkdxCriticSubRemove DiffDelete`
`hi default link mkdxCriticSubstitute DiffAdd`
`hi default link mkdxCriticSubStartMark DiffText`
`hi default link mkdxCriticSubTransMark DiffText`
`hi default link mkdxCriticSubEndMark DiffText`
`hi default link mkdxCriticComment Comment`
`hi default link mkdxCriticHighlight Todo`
`hi default link mkdxCriticExtra DiffText`
==============================================================================
PLUGS *mkdx-plugs*
When `g:mkdx#settings.map.enable` is set to 0, the user can bind individual
functions through <Plug> mappings. Every normal mode <Plug> is repeatable
using {repeat.vim} by Tim Pope (https://github.com/tpope/vim-repeat).
==============================================================================
<Plug>(mkdx-ctrl-n-compl) *mkdx-plug-ctrl-n-compl*
`<C-R>=mkdx#InsertCtrlNHandler()<Cr>`
==============================================================================
<Plug>(mkdx-ctrl-p-compl) *mkdx-plug-ctrl-p-compl*
`<C-R>=mkdx#InsertCtrlPHandler()<Cr>`
==============================================================================
<Plug>(mkdx-link-compl) *mkdx-plug-link-compl*
`mkdx#CompleteLink()`
==============================================================================
<Plug>(mkdx-checkbox-next-n) *mkdx-plug-checkbox-next-n*
`:call mkdx#ToggleCheckboxState()<Cr>`
==============================================================================
<Plug>(mkdx-checkbox-next-v) *mkdx-plug-checkbox-next-v*
`:call mkdx#ToggleCheckboxState()<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-checkbox-prev-n) *mkdx-plug-checkbox-prev-n*
`:call mkdx#ToggleCheckboxState(1)<Cr>`
==============================================================================
<Plug>(mkdx-checkbox-prev-v) *mkdx-plug-checkbox-prev-v*
`:call mkdx#ToggleCheckboxState(1)<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-promote-header) *mkdx-plug-promote-header*
`:<C-U>call mkdx#ToggleHeader(1)<Cr>`
==============================================================================
<Plug>(mkdx-demote-header) *mkdx-plug-demote-header*
`:<C-U>call mkdx#ToggleHeader()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-quote-n) *mkdx-plug-toggle-quote-n*
`:call mkdx#ToggleQuote()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-quote-v) *mkdx-plug-toggle-quote-v*
`:call mkdx#ToggleQuoteSelection()<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-wrap-link-n) *mkdx-plug-wrap-link-n*
`:call mkdx#WrapLink()<Cr>`
==============================================================================
<Plug>(mkdx-wrap-link-v) *mkdx-plug-wrap-link-v*
`:call mkdx#WrapLink('v')<Cr>`
==============================================================================
<Plug>(mkdx-jump-to-header) *mkdx-plug-jump-to-header*
` :call mkdx#JumpToHeader()<Cr>`
==============================================================================
<Plug>(mkdx-tableize) *mkdx-plug-tableize*
`:call mkdx#Tableize()<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-generate-toc) *mkdx-plug-generate-toc*
`:call mkdx#GenerateTOC()<Cr>`
==============================================================================
<Plug>(mkdx-update-toc) *mkdx-plug-update-toc*
`:call mkdx#UpdateTOC()<Cr>`
==============================================================================
<Plug>(mkdx-gen-or-upd-toc) *mkdx-plug-gen-or-upd-toc*
`:call mkdx#GenerateOrUpdateTOC()<Cr>`
==============================================================================
<Plug>(mkdx-quickfix-toc) *mkdx-plug-quickfix-toc*
`:call mkdx#QuickfixHeaders()<Cr>`
==============================================================================
<Plug>(mkdx-quickfix-links) *mkdx-plug-quickfix-links*
`:call mkdx#QuickfixDeadLinks()<Cr>`
==============================================================================
<Plug>(mkdx-text-bold-n) *mkdx-plug-text-bold-n*
`:<C-U>call mkdx#WrapText('n', g:mkdx#settings.tokens.bold,`
`\ g:mkdx#settings.tokens.bold,`
`\ 'mkdx-text-bold-n')<Cr>`
==============================================================================
<Plug>(mkdx-text-bold-v) *mkdx-plug-text-bold-v*
`:<C-U>call mkdx#WrapText('n', g:mkdx#settings.tokens.bold,`
`\ g:mkdx#settings.tokens.bold,`
`\ 'mkdx-text-bold-v')<Cr>`
==============================================================================
<Plug>(mkdx-text-italic-n) *mkdx-plug-text-italic-n*
`:<C-U>call mkdx#WrapText('n', g:mkdx#settings.tokens.italic,`
`\ g:mkdx#settings.tokens.italic,`
`\ 'mkdx-text-italic-n')<Cr>`
==============================================================================
<Plug>(mkdx-text-italic-v) *mkdx-plug-text-italic-v*
`:<C-U>call mkdx#WrapText('n', g:mkdx#settings.tokens.italic,`
`\ g:mkdx#settings.tokens.italic,`
`\ 'mkdx-text-italic-v')<Cr>`
==============================================================================
<Plug>(mkdx-text-strike-n) *mkdx-plug-text-strike-n*
`:<C-U>call mkdx#WrapText('n', '<strike>', '</strike>',`
`\ 'mkdx-text-strike-n')<Cr>`
==============================================================================
<Plug>(mkdx-text-strike-v) *mkdx-plug-text-strike-v*
`:<C-U>call mkdx#WrapText('v', '<strike>', '</strike>')<Cr>`
==============================================================================
<Plug>(mkdx-text-inline-code-n) *mkdx-plug-text-inline-code-n*
:<C-U>call mkdx#WrapText('n', '`', '`', 'mkdx-text-inline-code-n')<Cr>
==============================================================================
<Plug>(mkdx-text-inline-code-v) *mkdx-plug-text-inline-code-v*
:<C-U>call mkdx#WrapText('v', '`', '`')<Cr>
==============================================================================
<Plug>(mkdx-toggle-checkbox-n) *mkdx-plug-toggle-checkbox-n*
`:call mkdx#ToggleCheckboxTask()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-checkbox-v) *mkdx-plug-toggle-checkbox-v*
`:call mkdx#ToggleCheckboxTask()<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-checklist-n) *mkdx-plug-toggle-checklist-n*
`:call mkdx#ToggleChecklist()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-checklist-v) *mkdx-plug-toggle-checklist-v*
`:call mkdx#ToggleChecklist()<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-list-n) *mkdx-plug-toggle-list-n*
`:call mkdx#ToggleList()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-list-v) *mkdx-plug-toggle-list-v*
`:call mkdx#ToggleList()<Cr>:call mkdx#MaybeRestoreVisual()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-to-kbd-n) *mkdx-plug-toggle-to-kbd-n*
`:call mkdx#ToggleToKbd()<Cr>`
==============================================================================
<Plug>(mkdx-toggle-to-kbd-v) *mkdx-plug-toggle-to-kbd-v*
`:<C-U>call mkdx#ToggleToKbd('v')<Cr>`
==============================================================================
<Plug>(mkdx-o) *mkdx-plug-o*
`:<C-U>call mkdx#OHandler()<Cr>`
==============================================================================
<Plug>(mkdx-shift-o) *mkdx-plug-shift-o*
`:<C-U>call mkdx#ShiftOHandler<Cr>`
==============================================================================
<Plug>(mkdx-enter) *mkdx-plug-enter*
`<C-R>=mkdx#EnterHandler()<Cr>`
==============================================================================
<Plug>(mkdx-shift-enter) *mkdx-plug-shift-enter*
`<C-R>=mkdx#ShiftEnterHandler()<Cr>`
==============================================================================
<Plug>(mkdx-insert-kbd) *mkdx-plug-insert-kbd*
`<kbd></kbd>2hcit`
==============================================================================
<Plug>(mkdx-fence-tilde) *mkdx-plug-fence-tilde*
`<C-R>=mkdx#InsertFencedCodeBlock('~')<Cr>kA`
==============================================================================
<Plug>(mkdx-fence-backtick) *mkdx-plug-fence-backtick*
`<C-R>=mkdx#InsertFencedCodeBlock('```')<Cr>kA`
==============================================================================
<Plug>(mkdx-gf) *mkdx-plug-gf*
`:<C-U>call mkdx#gf('f')<Cr>`
==============================================================================
<Plug>(mkdx-gx) *mkdx-plug-gx*
`:<C-U>call mkdx#gf('x')<Cr>`
==============================================================================
<Plug>(mkdx-gf-visual) *mkdx-plug-gf-visual*
`:<C-U>call mkdx#gf_visual('f')<Cr>`
==============================================================================
<Plug>(mkdx-gx-visual) *mkdx-plug-gx-visual*
`:<C-U>call mkdx#gf_visual('x')<Cr>`
==============================================================================
<Plug>(mkdx-indent) *mkdx-plug-indent*
`:call mkdx#IndentHandler(1)<Cr>`
==============================================================================
<Plug>(mkdx-unindent) *mkdx-plug-unindent*
`:call mkdx#IndentHandler(0)<Cr>`
==============================================================================
<Plug>(mkdx-next-section) *mkdx-plug-next-section*
`:call mkdx#JumpToSection('next')<Cr>`
==============================================================================
<Plug>(mkdx-prev-section) *mkdx-plug-prev-section*
`:call mkdx#JumpToSection('prev')<Cr>`
==============================================================================
MAPPINGS *mkdx-mappings*
These are the default mappings set by this plugin. Both
|mkdx-setting-map-enable| and |mkdx-setting-map-prefix| control how they work.
You can always find what a key maps to directly below the help tag.
All mappings are {<buffer>} local.
The convention `<MAP_PREFIX>` will be used in examples below to indicate the
value of `g:mkdx#settings.map.prefix` (default: `"<leader>"`)
Before mkdx creates a specific mapping, it first checks wether any mapping
already exists. If it does, it will not map the functionality.
If you want to unmap a key entirely, you can simply map it to `<Nop>` after
which it won't do anything anymore:
`nmap <leader>= <Nop>`
`vmap <leader>= <Nop>`
Will disable |mkdx-plug-checkbox-next-n| and |mkdx-plug-checkbox-next-v|.
A better way in general, to prevent mkdx from setting an option is by
remapping it's <Plug>, this will take care of both scenario's with one mapping
and it is easier to understand "what" you unmapped, e.g:
`map <Plug> <Plug>(mkdx-checkbox-next-n)`
will result in the same as using regular `nmap` and `vmap`. For an overview of
available <Plug> mappings that can be disabled, visit: |mkdx-plugs|.
==============================================================================
Insert link completion *mkdx-mapping-insert-link-completion*
#, #<C-x><C-u>, #<C-p> or #<C-n>
This feature uses Vim's builtin |complete()| and |completefunc| commands.
When inside a markdown (`[link](|)`) or HTML (`<a href="|"></a>`) link (where
the "`|`" denotes cursor position), typing a `#` will show a list of
autocompletions based on the headers in the current buffer.
When not inside a link, fragment autocompletions will not be triggered and
default autocompletion is used instead. To complete a fragment outside of a
link, type a `#` followed by <C-n> or <C-p>.
Insert mode autocompletions can be disabled by setting
|mkdx-setting-links-fragment-complete| to `0`.
NOTE: |mkdx-setting-map-enable| must be enabled for the <C-n> and <C-p>
mappings to be bound.
==============================================================================
Insert fenced code block *mkdx-mapping-insert-fenced-code-block*
~~~ or ```
This mapping works in insert mode by typing ``` or ~~~. The block will be
autocompleted and the cursor will be put at the end of the opening fence to
specify the language.
`inoremap <buffer><silent><unique> ~~~ ~~~<Enter>~~~<C-o>k<C-o>A`
==============================================================================
Insert <kbd> shortcut *mkdx-mapping-insert-kbd-shortcut*
<<Tab>
This mapping works in insert mode by inserting `<` and pressing <Tab>
afterwards. A <kbd> tag will be inserted and the cursor will be moved inside
the tag while staying in insert mode.
`imap <buffer><silent><unique> <<Tab> <kbd></kbd><C-o>2h<C-o>cit`
==============================================================================
Toggle checkbox forward *mkdx-mapping-toggle-checkbox-forward*
<MAP_PREFIX>-
Toggles the next item in the |mkdx-setting-checkbox-toggles| list. Wraps
around to the start if the end is reached. Works in both visual and
normal mode. This function restores visual selection if
|mkdx-setting-restore-visual| is set.
When toggling an item which is nested in a list, the parent and child list
items will be updated as well. Automatic updating of checkboxes
can be disabled setting |mkdx-setting-checkbox-update-tree|.
`nmap <MAP_PREFIX>- <Plug>(mkdx-checkbox-next-n)`
`vmap <MAP_PREFIX>- <Plug>(mkdx-checkbox-next-v)`
==============================================================================
Toggle checkbox backward *mkdx-mapping-toggle-checkbox-backward*
<MAP_PREFIX>=
Toggles the previous item in the |mkdx-setting-checkbox-toggles| list. Wraps
around to the end if the start is reached. Works in both visual and
normal mode. This function restores visual selection if
|mkdx-setting-restore-visual| is set.
When toggling an item which is nested in a list, the parent and child list
items will be updated as well. Automatic updating of checkboxes
can be disabled setting |mkdx-setting-checkbox-update-tree|.
`nmap <MAP_PREFIX>= <Plug>(mkdx-checkbox-prev-n)`
`vmap <MAP_PREFIX>= <Plug>(mkdx-checkbox-prev-v)`
==============================================================================
Wrap text in link *mkdx-mapping-wrap-text-in-link*
<MAP_PREFIX>ln
Wrap the word under the cursor or a visual selection in an empty markdown link.
Select the word "world" in "hello world" and run the mapping, it
results in "hello [world]()". Likewise in normal mode, if you put the cursor
on the word "world" and run the mapping, it will produce the same result.
The cursor will be placed between the parentheses in |Insert-mode|.
`nmap <MAP_PREFIX>ln <Plug>(mkdx-wrap-link-n)`
`vmap <MAP_PREFIX>ln <Plug>(mkdx-wrap-link-v)`
==============================================================================
Wrap text in bold *mkdx-mapping-wrap-text-in-bold*
Wrap the word under the cursor or a visual selection in bold. By default
`**` is used for bolding text, this can be changed with |mkdx-setting-tokens-bold|.
`nmap <MAP_PREFIX>b <Plug>(mkdx-text-bold-n)`
`vmap <MAP_PREFIX>b <Plug>(mkdx-text-bold-v)`
This mapping may be prefixed with a [count] to mark [count] words starting
at cursor position, moving to right.
==============================================================================
Wrap text in italic *mkdx-mapping-wrap-text-in-italic*
Wrap the word under the cursor or a visual selection in italic. By default
`*` is used for italicizing text, this can be changed with
|mkdx-setting-tokens-italic|.
`nmap <MAP_PREFIX>/ <Plug>(mkdx-text-italic-n)`
`vmap <MAP_PREFIX>/ <Plug>(mkdx-text-italic-v)`
This mapping may be prefixed with a [count] to mark [count] words starting
at cursor position, moving to right.
==============================================================================
Wrap text in strike-tag *mkdx-mapping-wrap-text-in-strike-tag*
Wrap the word under the cursor or a visual selection in a `<strike></strike>`
tag.
`nmap <MAP_PREFIX>s <Plug>(mkdx-text-strike-tag-n)`
`vmap <MAP_PREFIX>s <Plug>(mkdx-text-strike-tag-v)`
This mapping may be prefixed with a [count] to mark [count] words starting
at cursor position, moving to right.
==============================================================================
Wrap text in backticks *mkdx-mapping-wrap-text-in-backticks*
Wrap the word under the cursor or a visual selection in backticks (e.g. as
inline code block).
nmap <MAP_PREFIX>` <Plug>(mkdx-text-italic-n)
vmap <MAP_PREFIX>` <Plug>(mkdx-text-italic-v)
This mapping may be prefixed with a [count] to mark [count] words starting
at cursor position, moving to right.
==============================================================================
Increment header level *mkdx-mapping-increment-header-level*
<MAP_PREFIX>[
Increments the header level by 1. Wraps around to h6 when promoting beyond h1.
`nmap <MAP_PREFIX>[ <Plug>(mkdx-promote-header)`
==============================================================================
Decrement header level *mkdx-mapping-decrement-header-level*
<MAP_PREFIX>]
Decrements the header level by 1. Wraps around to h1 when demoting beyond h6.
`nmap <MAP_PREFIX>] <Plug>(mkdx-demote-header)`
==============================================================================
Convert CSV to markdown table *mkdx-mapping-csv-to-markdown-table*
<MAP_PREFIX>,
Converts a visual selection of CSV rows to a markdown table.
See |mkdx-function-tableize| for more information.
`vmap <MAP_PREFIX>, <Plug>(mkdx-tableize)`
==============================================================================
Toggle quote *mkdx-mapping-toggle-quote*
<MAP_PREFIX>'
Toggles a markdown quote on the current line or on every nonblank line in a
visual selection. This function restores visual selection if
|mkdx-setting-restore-visual| is set.
`nmap <MAP_PREFIX>' <Plug>(mkdx-toggle-quote-n)`
`vmap <MAP_PREFIX>' <Plug>(mkdx-toggle-quote-v)`
==============================================================================
List items *mkdx-mapping-list-items*
`o`, `O`, <Cr>, <S-Cr>, <Tab> and <S-Tab>
When editing a list in markdown, pressing either <enter> in insert mode or `o`
in normal mode will insert a new list item below the current item. When
`O` is pressed, an item will be added above the current list item. All items
following the newly added item are incremented accordingly. The following
patterns are identified as list tokens:
- Any number of spaces followed by dot separated numbers. (`'^ \+[0-9.]\+'`)
- Any token present in |mkdx-setting-tokens-list|
- All of the above, but inside a quoted block e.g: `> 1. list item`
When pressing <S-Cr> with |mkdx-setting-enter-shift| enabled, a new line
of the current list item is created. This allows creating inline list items.
When pressing <Tab> or <S-Tab> on a numbered list, the list will be reindented
accordingly.
For examples, see |mkdx-function-enter-handler| and
|mkdx-function-shift-enter-handler|.
==============================================================================
Generate or update table of contents *mkdx-mapping-generate-or-update-toc*
<MAP_PREFIX>i
This function does one of two things based on wether a table of contents is
already present. If it exists, the current table of contents will be updated.
If it doesn't exist yet, a table of contents will be inserted at current line.
==============================================================================
Quickfix table of contents *mkdx-mapping-quickfix-table-of-contents*
<MAP_PREFIX>I
Adds all the markdown headers in the current file to the quickfix list.
==============================================================================
Quickfix dead links *mkdx-mapping-quickfix-dead-links*
<MAP_PREFIX>L
Checks every markdown link in the document for existence, if a link does not
exist, it will be added to the quickfix list.
A fragment link is dead when none of the headers in the document match it.
An external link is dead when it returns a statuscode `< 200` and `> 299` or
the request timed out.
See |mkdx-setting-links-external-enable| for more information.
==============================================================================
Jump to header *mkdx-mapping-jump-to-header*
<MAP_PREFIX>j
Jump to a fragment link present in the document. The cursor position before
the jump is saved in the |jumplist| to allow jumping back and forth quickly. See
|mkdx-function-jump-to-header| for additional information.
==============================================================================
Toggle checkbox *mkdx-mapping-toggle-checkbox*
<MAP_PREFIX>t
Toggles between a regular line and a line with a checkbox in normal and visual
mode. In normal mode, the line under the cursor will be toggled. In visual
mode, every line in the visual selection will be toggled. A default state for
the inserted checkboxes can be set with |mkdx-setting-checkbox-initial-state|.
In normal mode, the current line will be toggled (each line below represents a
different example):
`this is a line` => `[ ] this is a line`
`[ ] this is a line` => `this is a line`
`[-] this is a line` => `this is a line`
`[x] this is a line` => `this is a line`
In visual mode, the selected lines will be affected. Imagine having a visual
selection on lines 3 and 4 in the following text:
`this is some text`
`this is some more text`
`this should be a task item`
`this should also be a task item`
Pressing the mapping <MAP_PREFIX>t will turn it into this:
`this is some text`
`this is some more text`
`[ ] this should be a task item`
`[ ] this should also be a task item`
==============================================================================
Toggle checklist *mkdx-mapping-toggle-checklist*
<MAP_PREFIX>lt
This one is nearly identical to |mkdx-mapping-toggle-checkbox| but instead,
this one also prepends a list token (and a space) before the checkbox which
can be set using: |mkdx-setting-tokens-list|.
The |mkdx-setting-checkbox-initial-state| variable will also be respected here.
The same example from above (each line is a different example):
`this is a line` => `- [ ] this is a line`
`- [ ] this is a line` => `this is a line`
`- [-] this is a line` => `this is a line`
`- [x] this is a line` => `this is a line`
==============================================================================
Toggle list *mkdx-mapping-toggle-list*
<MAP_PREFIX>ll
This mapping toggles between a regular line and a list item. In normal mode,
the current line is affected. In visual mode, every line in the visual
selection is affected.
In normal mode:
`this is a line` => `- this is a line`
`- this is a line` => `this is a line`
In visual mode:
`this is a line` `- this is a line`
`this is another line` => `- this is another line`
`blah blah more lines` `- blah blah more lines`
`- this is a line` `this is a line`
`- this is another line` => `this is another line`
`- blah blah more lines` `blah blah more lines`
==============================================================================
Toggle kbd shortcut *mkdx-mapping-toggle-kbd-shortcut*
<MAP_PREFIX>k
This mapping works in both normal and visual mode.
In normal mode, it will attempt to convert the current |WORD| to an expanded
kbd expression. In visual mode, the current visual selection will be expanded.
Examples can be found at |mkdx-function-toggle-to-kbd|
==============================================================================
Jump to file *mkdx-mapping-jump-to-file*
gf
This mapping works like regular |gf| unless the cursor is positioned on a
markdown link. When on a link, mkdx will open the file inbetween the
parentheses. The cursor can be anywhere on the link and this will work.
This mapping also works in |Visual-Mode|. When used in visual mode, the
selection is used as the destination.
when |mkdx-setting-gf-on-steroids| is enabled, and link is not a file but a URL,
mkdx will use an `open` shell command. If `open` is not available, it will
silently fail.
==============================================================================
Open external file *mkdx-mapping-open-external-file*
gx
This mapping emulates |netrw-gx| (also works without netrw enabled). It will
open an external application using the `open` or `xdg-open` shell command.
If neither `open` or `xdg-open` are not available, it will silently fail.
Like |mkdx-mapping-jump-to-file| it will also work on markdown links, the
cursor can be positioned anywhere on the link and this will work.
This mapping also works in |Visual-Mode|. When used in visual mode, the
selection is used as the destination.
When |mkdx-setting-gf-on-steroids| is enabled, this mapping will also read
local files just like |mkdx-mapping-jump-to-file| otherwise would.
==============================================================================
Jump to next section *mkdx-mapping-jump-to-next-section*
]]
Jumps to the next header in the document. A count can be given to jump down
multiple headers.
==============================================================================
Jump to prev section *mkdx-mapping-jump-to-prev-section*
]]
Jumps to the previous header in the document. A count can be given to jump up
multiple headers.
==============================================================================
FUNCTIONS *mkdx-functions*
This is an overview of all the functions that |mkdx| provides.
==============================================================================
mkdx#ToggleCheckboxState([, {reverse}]) *mkdx-function-toggle-checkbox*
This function works in |Normal-mode| and |Visual-mode|.
It toggles the first checkbox (`[ ]`) on the current line or every line in a
selection to the next state in |mkdx-setting-checkbox-toggles|. Cycling can be
reversed by setting {increment} is 1. If {increment} is not supplied,
|Number| 0 will be used by default.
When {reverse} is 1:
[ ] `=>` [x]
When {reverse} is 0:
[ ] `=>` [-]
Parent and child checklist items are also updated accordingly. This is done by
traversing up from the item under the cursor and updating every higher level
parent depending on its children statusses. Imagine you checked the box at
`toggled` to incomplete (`-`), the following would happen:
- [ ] item 1
- [-] item 2 `<= update next direct parent of parent`
- [ ] item 2.1
- [ ] item 2.2
- [ ] item 2.2.1
- [ ] item 2.2.2
- [-] item 2.3 `<= update direct parent`
- [-] item 2.3.1 `<= toggled`
- [ ] item 2.3.2
- [ ] item 3
If instead, an item higher in the list was toggled:
- [ ] item 1
- [-] item 2 `<= update direct parent`
- [ ] item 2.1
- [ ] item 2.2
- [ ] item 2.2.1
- [ ] item 2.2.2
- [x] item 2.3 `<= toggled`
- [x] item 2.3.1 `<= update child`
- [x] item |||IP_ADDRESS||| `<= update child`
- [x] item |||IP_ADDRESS||| `<= update child`
- [x] item 2.3.2 `<= update child`
- [ ] item 3
All children are always updated to the same token of the toggled item. This
behaviour can be changed or disabled with |mkdx-setting-checkbox-update-tree|.
If your list isn't properly updated, see |mkdx-setting-enter-malformed|.
==============================================================================
mkdx#WrapLink([, {mode}]) *mkdx-function-wrap-link*
This function works in |Normal-mode| and |Visual-mode|.
The optional {mode} parameter defines how the the text must be handled.
This function stores deleted text in a register (which is restored
afterwards), wraps it and pastes the register back at cursor position.
To delete the correct text to wrap, a mode must be supplied for any mode other
than normal. This will influence the `normal!` commands executed to delete
text. e.g. for visual mode it will do a `gv` before deleting into a register.
In normal mode, this function wraps the word under the cursor in a link.
In visual mode, it will wrap the entire visual selection in a link.
Hello ` => ` [Hello]()
This mapping may be prefixed with a [count] to mark [count] words starting
at cursor position, moving to right, e.g. running `2<prefix>ln`:
Hello world `=>` [Hello world]()
If a visual selection ends in an image extension (`.png` for example), an
image link will be created instead.
nyancat.png ` =>` 
In this case, the cursor is placed just after the opening `(`. This allows you
to prepend a URL / path. To disable link wrapping, see:
|mkdx-setting-image-extension-pattern|
==============================================================================
mkdx#ToggleQuote() *mkdx-function-toggle-quote*
This function works in |Normal-mode|. It toggles a markdown quote
on a line, if a qoute mark (`>`) is present, it will be removed, otherwise it
will be prepended.
This is an awesome quote! ` => ` > This is an awesome quote!
> This is an awesome quote! ` => ` This is an awesome quote!
==============================================================================
mkdx#ToggleQuoteSelection() *mkdx-function-toggle-quote-selection*
This function works in |Visual-mode|. It toggles a markdown quote
on a selection, if a qoute mark (`>`) is present, it will be removed,
otherwise it will be prepended.
This is an awesome quote! ` => ` > This is an awesome quote!
> This is an awesome quote! ` => ` This is an awesome quote!
On multiple paragraphs of text, mkdx will preserve "inner empty lines" as part
of the quote. Empty lines at the start and end of a selection are
ignored:
This is a multi-paragraph > This is a multi-line paragraph
`=>` >
Quote of text > Quote of text
==============================================================================
mkdx#ToggleHeader([, {increment}]) *mkdx-function-toggle-header*
This function increments or decrements the heading on the current line.
If {increment} is not supplied, |Number| 0 will be used by default.
This function wraps around both ways: h1 to h6 and h6 to h1.
When {increment} is 1:
## Hello ` => ` # Hello
# Hello ` => ` Hello
Hello ` => `###### Hello
When {increment} is 0 (default):
# Hello ` => ` ## Hello
###### Hello ` => `Hello
Hello ` => `# Hello
==============================================================================
mkdx#JumpToHeader() *mkdx-function-jump-to-header*
Jump to {fragment} identifiers within the document directly from the link at
the cursor position. Both HTML and markdown links are supported.
A valid {fragment} identifier is a link that points to a heading within the
same file. It starts with a `#` symbol followed by the anchor text.
If a markdown document contains the following heading:
` # Hello world!`
` Such a beautiful place to be :)`
A valid {fragment} identifier could be any of:
Markdown:
` [go to hello world](#hello-world)`
HTML:
`<a href="#hello-world">go to hello world</a>`
`<a id="whatever" href="#hello-world">go to hello world</a>`
`<a id="whatever" href="#hello-world" class="nothing">go to hello world</a>`
The cursor can be anywhere on a link for it to be used, `^` marks indicate
valid cursor positions:
Markdown:
` more information: [go to hello world](#hello-world) or ...`
` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^`
HTML:
` more information: <a href="#hello-world">go to hello world</a> or ...`
` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^`
If the cursor is not on a link, the current line will be scanned from left to
right for links, the first fragment identifier found will be used.
In case of HTML links, other attributes can be present on the link. The only
requirement for it to be picked up is that it has a {href} attribute and its
value starts with a `#` symbol aside from being a valid `<a>` tag of course.
Whenever you jump to a specific link in the document, your cursor position as
it was BEFORE the jump will be stored. This allows you to go back to where you
found the link using "``" mapping. To disable this behaviour, see:
|mkdx-setting-links-fragment-jumplist|.
==============================================================================
mkdx#Tableize() *mkdx-function-tableize*
Convert a visual selection of {CSV} or {TSV} data to a markdown table.
The first nonblank line in the selection will be used as header for the table.
The column separator can be changed with |mkdx-setting-table-divider| and the
header separator can be changed with |mkdx-setting-table-header-divider|.
See |mkdx-setting-table-align| for alignment options.
Visually selecting the following text:
` Name,Age,Gender`
` John,23,Male`
` Catherline,44,Female`
` Manny,22,Male`
Will produce this table:
` | Name | Age | Gender |`
` |------------|-----|--------|`
` | John | 23 | Male |`
` | Catherline | 44 | Female |`
` | Manny | 22 | Male |`
As of version `1.4.2`, |mkdx| also supports "quoted" CSV / TSV data.
Another more complex example:
`"Name","Age","Gender"`
`"Er'ic Cartman","10","Unknown"`
`"Kenny McCormick","10","Male"`
`"Stan Mar\"sh","10","Male"`
`"K,le Brovlofski","10","Male"`
Will produce this table:
`| Name | Age | Gender |`
`|-----------------|-----|---------|`
`| Er'ic Cartman | 10 | Unknown |`
`| Kenny McCormick | 10 | Male |`
`| Stan Mar"sh | 10 | Male |`
`| K,le Brovlofski | 10 | Male |`
==============================================================================
mkdx#ShiftEnterHandler() *mkdx-function-shift-enter-handler*
When |mkdx-setting-enter-enable| is enabled,
this function is intended to be used to continue writing text in the same list
item on a new line. When <s-enter> is pressed within a list as defined by
|mkdx-function-enter-handler|, instead of prepending a new list token, the
line will be indented past the list token on the previous line to match the
indent level of the text on that line.
Given this example list (cursor represented by "`|`"):
` - list item 1`
` - list item 2| <== <s-enter>`
` - list item 3`
Will produce the following result:
` - list item 1`
` - list item 2`
`|`
` - list item 3`
It also works for nested list items, within block quotes (`>`), inside
numbered lists and checklists, e.g:
(cursor represented by "`|`"):
` - [-] list item 1`
` - [-] list item 1.1| <== <s-enter>`
` - [ ] list item 2`
Will produce the following result:
` - [-] list item 1`
` - [-] list item 1.1`
`|`
` - [ ] list item 2`
==============================================================================
mkdx#EnterHandler() *mkdx-function-enter-handler*
When |mkdx-setting-enter-enable| is enabled,
this function detects when you are in a list, when pressing <enter> in insert
mode or `o` and `O` in normal mode. It will append a new list item. The following
are detected as list items:
- Optional quote character, followed by any number of spaces followed
by dot separated numbers (`>\?'^ \+[0-9.]\+'`).
- Optional quote character, followed by any number of spaces and
a token present in |mkdx-settings-tokens-list|
Vim has builtin |formatoptions| that can -partially- take care of that job.
Since mkdx provides a custom `<enter>` handler, we do not want the option `r`
to interfere by prepending known |comments| when pressing `<enter>`. For this
reason, mkdx removes the `r` option using |setlocal|. This means it will not
overwrite your global settings.
This function respects indent level when appending a new item.
When you add a new list item and press <enter> again (e.g. pressing <enter>
twice after an existing list item) the list item and any indentation will be
removed.
In {any} case, if a checkbox is encountered directly after a list token
(separated by space), the newly appended list item will contain an empty
checkbox.
`1. [ ] list item <= <enter>`
`2. [ ] | <= cursor`
`3. [ ] list item`
The requirement here is that the checkbox is properly formatted, there has to
be atleast 1 space between the list token and opening `[`. a space or ony of
the |mkdx-setting-checkbox-toggles| between `[` and `]`.
If the list delimiter isn't a numeric sequence, all that happens is that a new
line will be appended at the same indent level and the delimiter and a space
appended.
`* list item`
`* list item <= <enter>`
`* | <= cursor`
`* list item`
`* list item`
Numeric list items also work as expected, all numbers will be incremented
correctly even in nested lists (of any depth).
`1. list item`
`2. list item <= <enter>`
`3. | <= cursor`
`4. list item`
`5. list item`
Nested list:
`1. list item`
`2. list item <= <enter>`
`3. | <= cursor`
`4. list item`
`4.1. list item`
`4.2. list item`
`5. list item`
Deep nested list:
`1. list item`
`2. list item <= <enter>`
`3. | <= cursor`
`4. list item`
`4.1. list item`
`4.1.1. list item`
`4.1.2. list item`
`4.2. list item`
`5. list item`
Deep nested list with second level enter:
`1. list item`
`2. list item`
`4. list item`
`4.2. list item <= <enter>`
`4.2. | <= cursor`
`4.3. list item`
`4.3.1. list item`
`4.3.2. list item`
`4.4. list item`
`5. list item`
==============================================================================
mkdx#OHandler() *mkdx-function-o-handler*
When |mkdx-setting-enter-enable| and |mkdx-setting-enter-o| are enabled,
This function checks if you are in the middle of a list. If this is true,
|mkdx-function-enter-handler| is triggered with a `normal! A<Cr>` command.
Otherwise, execute `normal! o` as if nothing happened.
==============================================================================
mkdx#ShiftOHandler() *mkdx-function-shift-o-handler*
When |mkdx-setting-enter-enable| and |mkdx-setting-enter-shift-o| are enabled,
This function checks if you are in the middle of a list. If this is true,
basically an "upward" |mkdx-function-enter-handler| will be triggered.
Otherwise, execute `normal! O` as if nothing happened.
==============================================================================
mkdx#GenerateTOC() *mkdx-function-generate-toc*
Insert a table of contents under the cursor. All headings are indented
using |sw| setting multiplied by their header level minus one. This means that h1
tags aren't indented. The header line is customizable through
|mkdx-setting-toc-text|.
List items are generated with a dash (-) character by default. This can be
changed with |mkdx-setting-toc-list-token|.
If you always want the TOC to be the [N]th heading in your document, this can
be specified with |mkdx-setting-toc-position|. Setting it to `1` would cause
the TOC to be the first heading of the document, etc...
As of version `1.2.0`, |mkdx| can generate the TOC inside a `<details>` tag!
See the following settings for more information:
Enabling: |mkdx-setting-toc-details-enable|
Enabling: |mkdx-setting-toc-details-summary|
==============================================================================
mkdx#UpdateTOC() *mkdx-function-update-toc*
This function checks to see if a table of content exists in the document. If
it finds it, the toc will be removed and regenerated using
|mkdx-function-generate-toc|. If a TOC isn't found, nothing will happen.
A heading is detected using the following regular expression:
` '^'. g:mkdx#settings.tokens.header .'\{1,6} \+'. g:mkdx#settings.toc.text`
`'^#\{1,6} \+TOC'` <= default pattern
==============================================================================
mkdx#GenerateOrUpdateTOC() *mkdx-function-generate-or-update-toc*
Like |mkdx-function-update-toc|, this function checks to see wether a table of
content exists. Based on the result it will either call
|mkdx-function-update-toc| if it exists, or |mkdx-function-generate-toc| if it
doesn't exist yet.
==============================================================================
mkdx#QuickfixHeaders([{quickfix}]) *mkdx-function-quickfix-headers*
Finds all the headers in the current file and opens them in a quickfix window
to allow for easy jumping using regular quickfix commands.
If {quickfix} isn't provided, it defalts to 1, which means a quickfix list
will be opened if the file contains any headers. When set to 0, a list of
quickfix-ready entries will be returned instead in the format of:
`{'lnum': 23, 'text': '# header', 'bufnr': 5}`
==============================================================================
mkdx#QuickfixDeadLinks([{quickfix}]) *mkdx-function-quickfix-dead-links*
Find all dead links in the current file and opens them in a quickfix
window to allow for easy jumping using regular quickfix commands.
There are two types of links:
FRAGMENT
Dead fragment links are found by converting all the headers in the document to
their respective `#fragment-link` urls. These are the existing links within the
document which we can use to compare against a list of `#fragment-link`s found
by scanning the markdown links in the document.
when a fragment link is found and it exists in the list of header
fragment-urls, we can assume that the link exists. If a fragment url is found
that does not exist inside the list of header fragments, it gets added to the
quickfix list for closer inspection.
If {quickfix} isn't provided, it defalts to 1, which means a quickfix list
will be opened if the file contains any headers. When set to 0, a list of
quickfix-ready entries will be returned instead in the format of:
`{'lnum': 23, 'col': 3, 'text': '#unknown-header', 'bufnr': 5}`
EXTERNAL
If {quickfix} is provided and equals 1 and |mkdx-setting-links-external-enable|,
if set to `1`, |mkdx| also scans the document for any external links
(http://, https://, // or any absolute / relative link) and
uses neovim's |job-control| or vim's |job| feature together with `cURL` to
asynchronously check if all those links are still in the air.
These links will be added to the quickfix list but, they will not be added to
the final result of calling this function. One can always use |getqflist|
after calling this function to fetch the quickfix list entries afterwards.
==============================================================================
mkdx#WrapText({mode}, {start}, {end}, {repeat}) *mkdx-function-wrap-text*
Wrap text in {start} and {end} delimiters.
The argument {mode} can be supplied to control what is selected.
When set to string `n`, the word under the cursor will be wrapped. When set to
`v`, the visual selection will be wrapped. If {mode} is omitted, it will
default to using `n`.
The {start} argument defines the string to use at the start of the target to
wrap. When omitted, it is set to an empty string.
The {end} argument defines the string to use at the end of the target to wrap.
When omitted, the value of {start} is used.
The final argument {repeat} can be used to enable repeat support for
repeat.vim. This requires you to setup a <Plug>(custom-plug) mapping. You
would then supply the name of your plug as value for {repeat}. In this case it
would be `custom-plug`.
When {repeat} is supplied and repeat.vim is installed, the function will call:
` silent! repeat#set("\<Plug>(" . ` {repeat} ` . ")")`
Note: If you are considering to repeat a visual mode command, this will work
still but in this case it will repeat on the previously selected text.
A mapping that wraps text in '*' symbols:
`" non repeatable`
`nnoremap <space>b :<C-U>call mkdx#WrapText('n', '*')<Cr>`
`" repeatable`
`noremap <silent> <Plug>(custom-wrap)`
`\ :<C-U>call mkdx#WrapText('n', '*', '*', 'custom-wrap')`
`" now map the named <Plug> mapping to an actual key combination`
`au FileType markdown nmap <buffer> <space>b <Plug>(custom-wrap)`
A non-repeatable mapping with a different ending:
`nnoremap <space>p :<C-U>call mkdx#WrapText('n', '<p>', '</p>')<Cr>`
==============================================================================
mkdx#ToggleCheckboxTask() *mkdx-function-toggle-checkbox-task*
This function will toggle a checkbox on the current line, or every line in a
visual selection. The checkbox can have a default state defined by:
|mkdx-setting-checkbox-initial-state|. Any leading whitespace is preserved.
This function recognizes lists defined by any of |mkdx-setting-tokens-list| and
checklists and will execute the following actions:
If the current line is a list item that does not contain a checkbox, the
checkbox is inserted after the list token. Otherwise, the checkbox is removed
- list item ` => ` - [ ] checklist item
* list item ` => ` * [ ] checklist item
1. list item ` => ` 1. [ ] checklist item
- [ ] checklist item ` => ` - list item
* [ ] checklist item ` => ` * list item
1. [ ] checklist item ` => ` 1. list item
Otherwise a checkbox is toggled normally:
this is a line ` => ` [ ] this is a task
[ ] this is a task ` => ` this is a line
==============================================================================
mkdx#ToggleChecklist() *mkdx-function-toggle-checklist*
Like |mkdx-function-toggle-checkbox-task|, but toggles a list token
(and a space) in addition to the checkbox on the current line, or every line
in a visual selection. The list token used is defined by
|mkdx-setting-tokens-list|. Any leading whitespace is preserved.
This function recognizes lists defined by any of |mkdx-setting-tokens-list|
and will execute the following actions:
If the current line is a list item, a checkbox will be added as seen in
|mkdx-function-toggle-checkbox-task|:
- list item ` => ` - [ ] checklist item
* list item ` => ` * [ ] checklist item
1. list item ` => ` 1. [ ] checklist item
In addition to that, non-list items are transformed into checklist items.
Checkbox state is preserved:
a line ` => ` - [ ] a line
[ ] a checkbox ` => ` - [ ] a checkbox
[x] marked `=>` - [x] marked
Otherwise, toggling between a regular line and a checklist item will be
performed, when toggling back and forth, the state of the checkbox is lost
and |mkdx-setting-checkbox-initial-state| is used instead:
- [x] checklist item `=>` checklist item
checklist item `=>` - [ ] checklist item
==============================================================================
mkdx#ToggleList() *mkdx-function-toggle-list*
This function will toggle a list token on the current line, or every line in
a visual selection. The token can be specified using |mkdx-setting-tokens-list|.
Any leading whitespace is preserved. This function also recognizes regular
tasks and checklist items (defined with |mkdx-setting-tokens-list|) and will
execute the following actions:
If the current line is a regular task, a list token is prepended. If a list
token is already present, it is removed. The state of the checkbox is also
preserved:
[ ] task ` => ` - [ ] checklist item
- [ ] checklist item ` => ` [ ] task
* [ ] checklist item ` => ` [ ] task
1. [ ] checklist item ` => ` [ ] task
Otherwise, a list marker is toggled as normal
list item ` => ` - list item
- list item ` => ` list item
==============================================================================
mkdx#ToggleToKbd([{mode}]) *mkdx-function-toggle-to-kbd*
This function will toggle the |WORD| under the cursor in normal mode or a
visual selection into a markdown keyboard mapping.
Some examples:
`C-S-j => <kbd>ctrl</kbd>+<kbd>shift</kbd>+<kbd>j</kbd>`
`C-S-c => <kbd>ctrl</kbd>+<kbd>shift</kbd>+<kbd>c</kbd>`
uppercase characters `S`, `C` and `M` are recognized as modifiers
as well as lowercase `shift`, `control` and `meta` keywords.
Any modifier may appear only once in a mapping, all later occurences are
parsed as regular keystrokes.
(Note the last kbd tag has a regular lowercase `c` in it)
`C-S-C => <kbd>ctrl</kbd>+<kbd>shift</kbd>+<kbd>c</kbd>`
In these mappings the first 3 characters are all modifiers, `ctrl`, `shift`
and `meta` respectively, so any other "would be modifiers" will now be parsed
to regular keys.
`C-S-M-C => <kbd>ctrl</kbd>+<kbd>shift</kbd>+<kbd>meta</kbd>+<kbd>c</kbd>`
`C-S-M-S => <kbd>ctrl</kbd>+<kbd>shift</kbd>+<kbd>meta</kbd>+<kbd>s</kbd>`
`C-S-M-M => <kbd>ctrl</kbd>+<kbd>shift</kbd>+<kbd>meta</kbd>+<kbd>m</kbd>`
Multiple space separated mappings in a visual selection
will also be converted:
`S-m S-p => <kbd>shift</kbd>+<kbd>m</kbd> <kbd>shift</kbd>+<kbd>p</kbd>`
==============================================================================
mkdx#Complete({findstart}, {base}) *mkdx-function-complete*
This function will be executed by |completefunc| and will return completions
relevant to the current context.
==============================================================================
mkdx#CompleteLink() *mkdx-function-complete-link*
Every time a `#` character is typed in |Insert-mode|, check if the inserted
character is inside a link within the URL attribute.
Markdown ("`|`" is the cursor position):
` [link](#|)`
HTML ("`|`" is the cursor position):
` <a href="#|">link</a>`
Completions will update while typing.
Completions will not work outside of a link context, if you want to complete a
fragment link without it being in a header, use <C-n> or <C-p> instead.
==============================================================================
mkdx#InsertCtrlNHandler() *mkdx-function-insert-ctrl-n-handler*
Handles <C-n> completions in |Insert-mode| when in a recognized context and
when |mkdx-setting-links-fragment-complete| is enabled (default on),
otherwise default completions will be shown.
==============================================================================
mkdx#InsertCtrlPHandler() *mkdx-function-insert-ctrl-p-handler*
Handles <C-p> completions in |Insert-mode| when in a recognized context and
when |mkdx-setting-links-fragment-complete| is enabled (default on),
otherwise default completions will be shown.
==============================================================================
mkdx#fold({lnum}) *mkdx-function-fold*
Folding is disabled by default.
This function should be called by 'foldexpr' with {lnum} set.
When |mkdx-setting-fold-enable| is enabled, 'foldmethod' will be set to `expr`
and 'foldexpr' will be set to `mkdx#fold(v:lnum)`.
There are two kinds of folds that mkdx understands:
1) Fold fenced code blocks, e.g:
`~~~viml`
`:let g:mkdx#settings.fold.enable = 1`
`~~~`
2) The table of contents generated by mkdx:
`# TOC`
`- Introduction`
3) The table of contents generated inside `<details>...</details>` tags:
`# TOC`
`<details>`
` <summary>Click to expand TOC</summary>`
`...`
`</details>`
Folding can be disabled for {fence} and {toc} individually by changing
|mkdx-setting-fold-components|.
==============================================================================
mkdx#WrapStrike([{mode}[, {plug}]]) *mkdx-function-wrap-strike*
Wraps |mkdx-function-wrap-text| specifically for wrapping strikethrough style.
See |mkdx-setting-tokens-stike| for more details. Both arguments are passed to
`mkdx#WrapText`. When {mode} is omitted it defaults to 'n' and the current
word under the cursor will be wrapped. When {plug} is omitted, it defaults to
an empty string.
==============================================================================
mkdx#gf([{mode}]) *mkdx-function-gf*
This function is used when positioned within markdown links, it provides
functionality required for |mkdx-mapping-jump-to-file| (<gf>) as well as
|mkdx-mapping-open-external-file| (<gx>).
When on a markdown link, will open the location, if it is a file, regular |gf|
is used to open the file, when it is a URL and |mkdx-setting-gf-on-steroids|
is enabled, it will use `open` to open an URL or image, fails silently otherwise.
The definition of images to `open` is defined by
|mkdx-setting-image-extension-pattern|.
The optional {mode} argument can either be `'f'` or `'x'`, this indicates
which type of functionality should be invoked. When `'x'` and with
|mkdx-setting-gf-on-steroids| DISABLED, it will always use `open`. Otherwise,
when it is `'f'` and |mkdx-setting-gf-on-steroids| DISABLED, it will always
use |mkdx-mapping-jump-to-file|.
When |mkdx-setting-gf-on-steroids| is enabled, this argument is ignored and
the "correct" implementation is used based on what is found. If it looks like
an image or URL, `open` will be used, otherwise |mkdx-mapping-jump-to-file|
will be used.
==============================================================================
mkdx#gf_visual([{mode}]) *mkdx-function-gf-visual*
This function mimicks |mkdx-function-gf| but in visual mode. Selecting text
and pressing <gf> / <gx> will apply the mapping on the selection instead.
This is useful in scenarios where |mkdx-function-gf| does not work properly
(yet) as a fallback method.
==============================================================================
mkdx#MaybeRestoreVisual() *mkdx-function-maybe-restore-visual*
When |mkdx-setting-restore-visual| is enabled, this function restores the last
visual selection.
==============================================================================
mkdx#IndentHandler({indent}) *mkdx-function-indent-handler*
When {indent} is nonzero, indents as usual, otherwise unindents as usual.
Additionally, when indenting / unindenting within a numbered list, the
list will be renumbered accordingly.
==============================================================================
mkdx#JumpToSection({to}) *mkdx-function-jump-to-section*
The {to} argument is required and must be one of `'next'` or `'prev'`. When
`'next'` jumps to the next section and when `'prev'` jumps to the previous
section.
==============================================================================
|ERRORS| *mkdx-errors*
Whenever a setting in `g:mkdx#settings` is updated, the new value will be
validated before being set. If the value passes validations, it will be
updated, otherwise an error will be thrown.
Every error contains at least 1 helptag. This would point to the setting that
you tried to modify. If you set `g:mkdx#settings.tokens.fence` to `5`, the first
helptag would be `mkdx-setting-tokens-fence`.
When a validation fails, a more specific error code will be given that can be
found in the sections below.
Every setting can be overwritten in any way as long as the format remains
valid. The errors try to point you in the right direction be as descriptive
as possible. An error is also not critical, the bad value will be rolled back
and no harm will be done :)
==============================================================================
Type *mkdx-error-type*
This error occurs whenever you try to set a setting in `g:mkdx#settings` that
does not equal the current type of that setting. When this happens, mkdx will
not apply the new value and instead, roll back to the old value.
==============================================================================
Minimum length *mkdx-error-min-length*
Given a {list} or a {string}, this validation fails if either |len()| or
|strlen()| (respectively) fails based on a defined {length}. The description of
the error includes the minimum length the setting should have.
For strings, this can be defined as:
` strlen(string) < length`
For lists, this can be defined as:
` len(list) < length`
The error will point out what valid options are in the context of the variable
that you are trying to modify.
==============================================================================
Between *mkdx-error-between*
Given an {integer} value, checks if it is between a defined {min} and {max}
value. The check is inclusive for both {min} and {max} values:
` integer < min || integer > max`
The error will point out what valid options are in the context of the variable
that you are trying to modify.
==============================================================================
Only valid *mkdx-error-only-valid*
Given a {value} this validation will fail when {value} is not in the defined
{options}. This check only works for primitive values such as numbers and
strings.
` index(options, value) == -1`
The error will point out what valid options are in the context of the variable
that you are trying to modify.
==============================================================================
Only list *mkdx-error-only-list*
Like |mkdx-error-only-valid| but for lists of values. Given a {list}
containing some values, checks if all values in the {list} match that of an
option in this specific validation:
` len(filter(list, {idx, value -> index(valid, value) == -1})) > 0`
The error will point out what valid options are in the context of the variable
that you are trying to modify.
==============================================================================
DEPRECATED *mkdx-deprecated*
The following section provides information about deprecated functionality,
plugs, mappings etc...
==============================================================================
V1.8.0 *mkdx-deprecated-v1.8.0*
Deprecated plugs:
- `mkdx-checkbox-next` replaced by:
- `mkdx-checkbox-next-n`
- `mkdx-checkbox-next-v`
- `mkdx-checkbox-prev` replaced by:
- `mkdx-checkbox-prev-n`
- `mkdx-checkbox-prev-v`
- `mkdx-toggle-quote` replaced by:
- `mkdx-toggle-quote-n`
- `mkdx-toggle-quote-v`
- `mkdx-toggle-checklist` replaced by:
- `mkdx-toggle-checklist-n`
- `mkdx-toggle-checklist-v`
- `mkdx-toggle-checkbox` replaced by:
- `mkdx-toggle-checkbox-n`
- `mkdx-toggle-checkbox-v`
- `mkdx-toggle-list` replaced by:
- `mkdx-toggle-list-n`
- `mkdx-toggle-list-v`
While the old plugs will still work, they will no longer restore visual mode
regardless of |mkdx-setting-restore-visual|.
==============================================================================
DEVELOPMENT *mkdx-development*
This section does not describe much yet, it is primarily here so that over
time as I (@SidOfc) move machines, I can go here to see how to release mkdx
properly, things such as zipping and excluding gifs etc...
mkdx uses tagged releases to indicate a version, whenever a new version is
"done" and the README / CHANGELOG / doc/mkdx.txt files are updated,
tag the commit using:
`git tag -a 'vX.X.X' -m 'vX.X.X'`
where `X.X.X` is replaced by the version number at the top of the file.
Remember that tags must be pushed separately:
`git push && git push --tags`
will perform both a regular `git push` and also `git push --tags` if it
succeeds.
Aside from deploying to git to allow modern installation via plugins, a zip
file must also be created and deployed to
https://www.vim.org/scripts/script.php?script_id=5620.
To keep the filesize within acceptable range, use the following command:
`zip -r mkdx-X.X.X.zip mkdx -x "*git*" -x "*.gif" -x "*test*"`
This excludes git, README gifs, and test files from the final zip.
deploying to vim.org is recommended after pushing the updated README and
CHANGELOG to github. This allows for easier copying of the changelog section
in the README file.
vim:tw=78:sw=4:ft=help:norl:
|
2330d90de5d32c9e28d89e3063dfb88ddedef982
|
2023-03-17T10:38:13.996900
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.5363548714, "avg_line_length": 47.180075188, "ext": "txt", "max_forks_count": 24, "max_forks_repo_forks_event_max_datetime": "2022-02-23T12:36:54.000Z", "max_forks_repo_forks_event_min_datetime": "2018-03-17T22:59:18.000Z", "max_forks_repo_head_hexsha": "a6fc41f7630e675ca5f0aeb829ad1b88c73a7c63", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "damiengiese/mkdx", "max_forks_repo_path": "doc/mkdx.txt", "max_issues_count": 100, "max_issues_repo_head_hexsha": "a6fc41f7630e675ca5f0aeb829ad1b88c73a7c63", "max_issues_repo_issues_event_max_datetime": "2022-03-22T18:29:10.000Z", "max_issues_repo_issues_event_min_datetime": "2017-12-13T18:28:46.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "damiengiese/mkdx", "max_issues_repo_path": "doc/mkdx.txt", "max_line_length": 187, "max_stars_count": 427, "max_stars_repo_head_hexsha": "a6fc41f7630e675ca5f0aeb829ad1b88c73a7c63", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "damiengiese/mkdx", "max_stars_repo_path": "doc/mkdx.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-24T10:24:03.000Z", "max_stars_repo_stars_event_min_datetime": "2017-11-27T18:46:52.000Z", "size": 125499}
| 2022-12-01T00:00:00 |
text
| 8,146 |
워싱턴
아담스
제퍼슨
매디슨
몬레오
퀸시
잭슨
밴 뷰런
해리슨
타일러
포크
테일러
필모어
피어스
부캐넌
링컨
존슨
그랜트
헤이스
가필드
아서
클리블랜드
맥킨리
루즈벨트
태프트
윌슨
|
bddff85422017223645b80b9b2701e66ef33be40
|
2023-03-17T10:22:12.735830
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.74, "avg_line_length": 3.8461538462, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "3f127a00dba0a937e2c0380b7006c7d3964e4d3f", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "kms8610/RKTM-Mod", "max_forks_repo_path": "1.2/Call of Cthulhu - Factions - 764375772 [1.1]/Languages/Korean (\ud55c\uad6d\uc5b4)/Strings/NameBanks/Names_USPresidents.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "3f127a00dba0a937e2c0380b7006c7d3964e4d3f", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "kms8610/RKTM-Mod", "max_issues_repo_path": "1.2/Call of Cthulhu - Factions - 764375772 [1.1]/Languages/Korean (\ud55c\uad6d\uc5b4)/Strings/NameBanks/Names_USPresidents.txt", "max_line_length": 5, "max_stars_count": 1, "max_stars_repo_head_hexsha": "b8f9f075c2249538de21490d921ed03fa337dfdd", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "emipa606/CallofCthulhuFactions", "max_stars_repo_path": "1.0/Languages/Korean/Strings/NameBanks/Names_USPresidents.txt", "max_stars_repo_stars_event_max_datetime": "2020-12-06T13:34:29.000Z", "max_stars_repo_stars_event_min_datetime": "2020-12-06T13:34:29.000Z", "size": 100}
| 2022-12-01T00:00:00 |
text
| 8,147 |
-5179486414663454040
|
26ee82598d9c9628f82dd7299688969e8e28014a
|
2023-03-17T10:44:07.259113
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.9047619048, "avg_line_length": 10.5, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2020-07-26T14:29:48.000Z", "max_forks_repo_forks_event_min_datetime": "2020-07-26T14:29:48.000Z", "max_forks_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "SCECcode/CSEPcode", "max_forks_repo_path": "results/2007-08-01/scec.csep.RELMTest.L-Test_STEP_8_1_2007-fromXML-randomSeed.1246927027.596888.1/L-Test_STEP_8_1_2007-fromXML-simulation964_1-randomSeed.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "SCECcode/CSEPcode", "max_issues_repo_path": "results/2007-08-01/scec.csep.RELMTest.L-Test_STEP_8_1_2007-fromXML-randomSeed.1246927027.596888.1/L-Test_STEP_8_1_2007-fromXML-simulation964_1-randomSeed.txt", "max_line_length": 20, "max_stars_count": null, "max_stars_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "SCECcode/CSEPcode", "max_stars_repo_path": "results/2007-08-01/scec.csep.RELMTest.L-Test_STEP_8_1_2007-fromXML-randomSeed.1246927027.596888.1/L-Test_STEP_8_1_2007-fromXML-simulation964_1-randomSeed.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 21}
| 2022-12-01T00:00:00 |
text
| 8,148 |
53--Raid/53_Raid_policeraid_53_944.jpg
35
263 167 46 45 0.651669
201 252 38 37 0.22538
10 313 43 43 0.202729
106 343 57 57 0.223945
976 348 47 46 0.124497
0 368 32 41 0.197204
433 417 29 29 0.529248
187 407 52 51 0.152238
982 450 34 33 0.27291
179 471 35 36 0.142142
153 493 40 40 0.109681
621 0 81 76 0.223636
368 0 74 64 0.212644
545 16 73 73 0.542121
247 40 68 69 0.822192
335 72 76 76 0.706023
296 74 87 87 0.23646
273 98 82 82 0.289
330 99 78 78 0.630666
312 182 77 77 0.82352
118 291 81 82 0.995369
166 334 78 79 0.131851
769 440 68 67 0.571636
216 0 74 64 0.263311
438 0 76 64 0.615767
471 0 72 62 0.345826
507 0 69 60 0.177925
392 15 76 75 0.800547
828 8 92 93 0.164163
60 284 95 96 0.149503
440 283 139 139 0.107406
384 62 240 241 1
714 255 216 216 0.999269
877 452 115 115 0.155623
221 363 224 212 0.208343
|
f13e053d098c5e7e284fe874097f6f0fd8449af9
|
2023-03-17T10:08:52.522757
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7368421053, "avg_line_length": 21.5, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "4f8113afe8a6adc37c1a4394221c5385a9fb7f8a", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "ghimiredhikura/MTCNN-light-face-detection", "max_forks_repo_path": "detections/WIDER/mtcnn_test/53--Raid/53_Raid_policeraid_53_944.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "4f8113afe8a6adc37c1a4394221c5385a9fb7f8a", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "ghimiredhikura/MTCNN-light-face-detection", "max_issues_repo_path": "detections/WIDER/mtcnn_test/53--Raid/53_Raid_policeraid_53_944.txt", "max_line_length": 38, "max_stars_count": 1, "max_stars_repo_head_hexsha": "4f8113afe8a6adc37c1a4394221c5385a9fb7f8a", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "ghimiredhikura/MTCNN-light-face-detection", "max_stars_repo_path": "detections/WIDER/mtcnn_test/53--Raid/53_Raid_policeraid_53_944.txt", "max_stars_repo_stars_event_max_datetime": "2019-03-28T02:34:17.000Z", "max_stars_repo_stars_event_min_datetime": "2019-03-28T02:34:17.000Z", "size": 817}
| 2022-12-01T00:00:00 |
text
| 8,149 |
2
0 688000.0 306.0 163.0 50.0 50.0
1 736000.0 182.6 158.6 48.9 48.9
|
cba3d95b126056b120d3049a87f060b38671899e
|
2023-03-17T10:26:26.665203
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6617647059, "avg_line_length": 17, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "e2223b6d9c91490b8613f87039ed33182bc9494a", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "neohanju/DepthMTT", "max_forks_repo_path": "DepthMTT/data/MTT_S_01/000107.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "e2223b6d9c91490b8613f87039ed33182bc9494a", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "neohanju/DepthMTT", "max_issues_repo_path": "DepthMTT/data/MTT_S_01/000107.txt", "max_line_length": 32, "max_stars_count": 1, "max_stars_repo_head_hexsha": "e2223b6d9c91490b8613f87039ed33182bc9494a", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "neohanju/DepthMTT", "max_stars_repo_path": "DepthMTT/data/MTT_S_01/000106.txt", "max_stars_repo_stars_event_max_datetime": "2019-12-17T13:44:11.000Z", "max_stars_repo_stars_event_min_datetime": "2019-12-17T13:44:11.000Z", "size": 68}
| 2022-12-01T00:00:00 |
text
| 8,150 |
D:\Programs\C#\ServerPinger\ServerPinger\bin\Release\ServerPinger.exe.config
D:\Programs\C#\ServerPinger\ServerPinger\bin\Release\ServerPinger.exe
D:\Programs\C#\ServerPinger\ServerPinger\bin\Release\ServerPinger.pdb
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.FrmPinger.resources
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.Properties.Resources.resources
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.csproj.GenerateResource.Cache
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.csproj.CoreCompileInputs.cache
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.exe
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.pdb
D:\Programs\C#\ServerPinger\ServerPinger\bin\Release\Interop.WMPLib.dll
D:\Programs\C#\ServerPinger\ServerPinger\bin\Release\AxInterop.WMPLib.dll
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\Interop.WMPLib.dll
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\AxInterop.WMPLib.dll
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.csproj.ResolveComReference.cache
D:\Programs\C#\ServerPinger\ServerPinger\obj\Release\ServerPinger.csprojResolveAssemblyReference.cache
|
98294f5216b24b90886b960ef44eb574e92fddec
|
2023-03-17T10:10:22.073571
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8429951691, "avg_line_length": 77.625, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "44a19d1584c29ff5a129637ef7dfe594572b36ea", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "sounaa/Server-Pinger", "max_forks_repo_path": "ServerPinger/ServerPinger/obj/Release/ServerPinger.csproj.FileListAbsolute.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "44a19d1584c29ff5a129637ef7dfe594572b36ea", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "sounaa/Server-Pinger", "max_issues_repo_path": "ServerPinger/ServerPinger/obj/Release/ServerPinger.csproj.FileListAbsolute.txt", "max_line_length": 103, "max_stars_count": null, "max_stars_repo_head_hexsha": "44a19d1584c29ff5a129637ef7dfe594572b36ea", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "sounaa/Server-Pinger", "max_stars_repo_path": "ServerPinger/ServerPinger/obj/Release/ServerPinger.csproj.FileListAbsolute.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 1242}
| 2022-12-01T00:00:00 |
text
| 8,151 |
Nicklas, W. J. (1983) in Glutamine, Glutamate and GABA in the CNS (Hertz,
L., Kvamme, E., McGeer, E., and Schousboe, A., eds) pp. 219 –227, Alan R. 51.
Liss, New York 52.
40. Westergaard, N., Sonnewald, U., and Schousboe, A. (1995) Dev. Neurosci. 17,
203–211 53.
41. Sibson, N. R., Dhankhar, A., Mason, G. F., Behar, K. L., Rothman, D. L., and
Shulman, R. G. (1997) Proc. Natl. Acad. Sci. U. S. A. 94, 2699 –2704 54.
42. Hassel, B., Bachelard, H. S., Jones, P., Fonnum, F., and Sonnewald, U. (1997) 55.
J. Cereb. Blood Flow Metab. 17, 1230 –1238 56.
43. Lehre, K. P., Levy, L. M., Ottersen, O. P., Storm-Mathisen, J., and Danbolt, 57.
N. C. (1995) J. Neurosci. 15, 1835–1853
44. Sonnewald, U. N., Westergaard, N., and Schousboe, A. (1997) Glia 21, 56 – 63 58.
45. Martinez-Hernandez, A., Bell, K. P., and Norenberg, M. D. (1977) Science 195,
1356 –1358 59.
46. Peng, L., Schousboe, A., and Hertz, L. (1991) Neurochem. Res. 16, 29 –34
47. Bradford, H. F., and Ward, H. K. (1976) Brain Res. 110, 115–125 60.
48. Najlerahim, A., Harrison, P. J., Barton, A. J. L., Heffernan, J., and Pearson,
R. C. A. (1990) Mol. Brain Res. 7, 317–333 61.
49. Curthoys, N. P., and Watford, M. (1995) Annu. Rev. Nutr. 15, 133–159 62.
50. Yudkoff, M., Nissim, I., Hummeler, K., Medow, M., and Pleasure, D. (1986)
|
c905d6a85018d88956cf69ee5e53deb74c9a0248
|
2023-03-17T10:09:55.865460
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6246130031, "avg_line_length": 61.5238095238, "ext": "txt", "max_forks_count": 13, "max_forks_repo_forks_event_max_datetime": "2022-03-09T16:45:09.000Z", "max_forks_repo_forks_event_min_datetime": "2015-01-26T01:39:45.000Z", "max_forks_repo_head_hexsha": "793ea3f46761dce72094e057a56cddfa677156ae", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "KnowledgeGarden/bluima", "max_forks_repo_path": "modules/bluima_references_classifier/src/test/resources/referenceClassifier/corpus/annots2/I/222.txt", "max_issues_count": 6, "max_issues_repo_head_hexsha": "793ea3f46761dce72094e057a56cddfa677156ae", "max_issues_repo_issues_event_max_datetime": "2015-06-04T20:31:30.000Z", "max_issues_repo_issues_event_min_datetime": "2015-02-23T06:47:09.000Z", "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "KnowledgeGarden/bluima", "max_issues_repo_path": "modules/bluima_references_classifier/src/test/resources/referenceClassifier/corpus/annots2/I/222.txt", "max_line_length": 85, "max_stars_count": 20, "max_stars_repo_head_hexsha": "793ea3f46761dce72094e057a56cddfa677156ae", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "BlueBrain/bluima", "max_stars_repo_path": "modules/bluima_references_classifier/src/test/resources/referenceClassifier/corpus/annots2/I/222.txt", "max_stars_repo_stars_event_max_datetime": "2020-05-30T19:04:14.000Z", "max_stars_repo_stars_event_min_datetime": "2015-01-26T01:39:44.000Z", "size": 1292}
| 2022-12-01T00:00:00 |
text
| 8,152 |
loren; eine Majorität in der Skupſchtina für dasſelbe iſt
|
d6da7ec294fd128fa9fdce5c205c838b8b9a95aa
|
2023-03-17T10:09:23.966131
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8421052632, "avg_line_length": 57, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2020-04-30T09:00:53.000Z", "max_forks_repo_forks_event_min_datetime": "2020-02-24T17:19:48.000Z", "max_forks_repo_head_hexsha": "db73e07687e3d766cb819a847726c5c1cee5b209", "max_forks_repo_licenses": ["CC-BY-4.0"], "max_forks_repo_name": "UB-Mannheim/AustrianNewspapers", "max_forks_repo_path": "gt/train/ONB_nfp_18950706_008/ONB_nfp_18950706_008.tif_tl_199.gt.txt", "max_issues_count": 36, "max_issues_repo_head_hexsha": "db73e07687e3d766cb819a847726c5c1cee5b209", "max_issues_repo_issues_event_max_datetime": "2021-07-31T18:16:39.000Z", "max_issues_repo_issues_event_min_datetime": "2020-01-29T17:39:09.000Z", "max_issues_repo_licenses": ["CC-BY-4.0"], "max_issues_repo_name": "UB-Mannheim/AustrianNewspapers", "max_issues_repo_path": "gt/train/ONB_nfp_18950706_008/ONB_nfp_18950706_008.tif_tl_199.gt.txt", "max_line_length": 57, "max_stars_count": 13, "max_stars_repo_head_hexsha": "db73e07687e3d766cb819a847726c5c1cee5b209", "max_stars_repo_licenses": ["CC-BY-4.0"], "max_stars_repo_name": "UB-Mannheim/AustrianNewspapers", "max_stars_repo_path": "gt/train/ONB_nfp_18950706_008/ONB_nfp_18950706_008.tif_tl_199.gt.txt", "max_stars_repo_stars_event_max_datetime": "2021-09-28T06:59:37.000Z", "max_stars_repo_stars_event_min_datetime": "2020-01-28T13:35:14.000Z", "size": 57}
| 2022-12-01T00:00:00 |
text
| 8,153 |
d.), og Trafikken mellem de to Havne foregaar
ved de Havnevæsenet tilhørende Pramme og
Bugserbaade. Ved N. Toldsted indgik 1915 fra
danske Havne: 151 Skibe med 4104 t Ladning,
deraf 57 Dampskibe med 1990 t Ladning, og
fra udenlandske Havne: 144 med 25990 t
Ladning, deraf 128 Dampskibe- med 25354 t
Ladning. S. A. udgik til danske Havne: 154 Skibe
med 1044 t Ladning, deraf 79 Dampskibe med
470 t Ladning, og til udenlandske: 141 med 327
t Ladning, deraf 126 Dampskibe med 327 t
Ladning. Den hjemmehørende Handelsflaade
bestod 1915 af 5 Sejlskibe med tilsammen 43 Reg.
T., 6 Motorskibe (tilsammen 52 Reg. T.) og 2
Dampskibe (tilsammen 29 Reg. T.), alle Fartøjer
over 4 Reg. T.
Kommunens Indtægter var 1919—20: 1176000
Kr og Udgifterne s. A. 972000 Kr; dens Formue
og Gæld ved Aarets Slutning; henh. 3,1 og 3,4
Mill. Kr. Vurderingssummen til Ejendomsskyld
var 1916: 18,2 Mill. Kr, hvoraf Jordværdi 5,1
Mill. Bygningerne var 1919 brandforsikret for
20,4 Mill. Kr.
Byens Øvrighed bestaar af Politimesteren og
en folkevalgt Borgemester som Formand for
Byraadet, der i øvrigt tæller 13 Medlemmer. N.
er Sæde for Amtmanden over Præstø Amt, og
der findes tysk Konsulat og svensk
Vicekonsulat.
Købstaden tilligemed Skt Peder's og Skt
Mortens Landdistrikter (der i øvrigt kun har Skole-
og Forsørgelsesvæsen fælles med denne)
danner et Pastorat i Tybjerg Herreds Provsti
(Roskilde Stift); i verdslig Henseende hører N. til
21. Retskreds (N. Købstad og Tybjerg Herred
med Øster Flakkebjerg Herred) og 14.
Politikreds (samme Omraade) med Dommer og
Politimester i Byen; endvidere til Amtets 3.
Folketings-Opstillingskreds, N. Læge-, Skatte- og
Skyldkreds samt 2. Udskrivningskreds (143.
Lægd).
N. er Station paa den sydsjællandske
Jernbane (aabnet 1870) og Endepunkt for
Slagelse—N.-Banen (aabnet 1892), begge Statsbaner;
endvidere Udgangspunkt for den private
N.—Præstø—Mern-Bane (aabnet 1900). Under
Anlæg er den midtsjællandsike Jernbane:
N.—Ringsted—Hvalsø—Frederikssund—Hillerød, der yderligere vil forøge Byens Betydning
som Jernbaneknudepunkt.
<sp>Historie</sp>. Byen nævnes allerede i 12.
Aarh., da Skt Peder's Benediktinerkloster
grundlagdes her ved Aar 1135. Den voksede op
omkr. dette Kloster, som dog i Slutn. af 12.
Aarh. flyttedes ud i en Skov uden for Byen og
senere fik Navnet Skovkloster (se
<sp>Herlufsholm</sp>). Fra 1140 stod Byen hele Middelalderen
under Klostret, som opkrævede Skatter, besatte
Øvrighed sposterne o. s. v. Men dette stærke
Afhængighedsforhold synes dog ikke at have
hemmet Byens Opkomst; thi den var i
Middelalderen en af Sjællands betydeligste Byer,
hvilket bl. a. ses af, at den var Møntsted
under Erik af Pommern, der 1426 gav den
Privilegier som andre Købstæder, at Kongerne
ofte opholdt sig her og ejede Gaarde her, og
at den foruden ovenn. Kloster havde endnu to
Klostre, et ved Aar 1239 stiftet
Franciskanerkloster og et 1242 grundlagt
Dominikanerkloster, ligesom der var to milde Stiftelser, et
Helligaandshus og et Skt Jørgen's Hospital, og
flere Gilder. Af hist. Begivenheder nævnes
Slaget ved N. 1259, hvor Fyrst Jaromar med
Biskop Peder Bang slog den sjællandske Almue,
og et Forlig mellem Valdemar Atterdag og
Johan den Milde, som sluttedes her 1344. I øvrigt
led Byen i Middelalderen af voldsomme
Ildebrande, saaledes 1271, Apr. 1280 og Maj 1297.
Klostrets Inddragelse efter Reformationen
skadede den meget, ligesom Fordrivelsen af de
hanseatiske Købmænd, der havde Oplag og
Kontor i Byen, og den hidtil ret betydelige
Handel og Skibsfart tog meget af; dog vedblev
den ogsaa i den nyere Tid at høre til de
større sjællandske Byer; 1672 havde den 1853,
1769 kun 1317 Indb.; i 19. og 20. Aarh. er den
gaaet stærkt frem. Den har været Garnisonsby
for 4. Dragonregiment fra 1790 og efter 1911
tillige for et Trainkompagni samt for 25. og
26. Fodfolksbataillon. (<sp>Litt</sp>.: <sp>A. Listov</sp>, »N.
i Middelalderen«, i Herlufsholms Skoleprogram
1872; »Danske Byer og deres Mænd, XX, N.«
[Aarhus 1917]; <sp>Trap</sp>, »Stat.-topogr. Beskr. af
Danmark«, 4. Udg., III Bd).
<i>(H. W.). M. S.</i>
</chapter>
<chapter name="Nævekamp">
<b>Nævekamp,</b> se <sp>Boksning</sp>.
</chapter>
<chapter name="Næver">
<b>Næver</b> kaldes de mere ell. mindre tynde
Flager af Hvidbirkens Yderbark, som skrælles
af Stammen for, især i Norge, at bruges til
Fremstilling af forsk. runde Beholdere; Bund
og Laag dannes af Træ, Sidefladerne af N.,
der syes sammen med tynde Fyrrerødder.
<i>C. V. P.</i>
</chapter>
<chapter name="Næveret">
<b>Næveret</b> er en Oversættelse af tysk
Faustrecht, der af tyske retshist. Forfattere
undertiden bruges i samme Bet. som Fehderecht (se
<sp>Fejderet</sp>). N.'s Periode er den Periode af
Middelalderen, hvor Fejderetten i særlig Grad
spillede en Rolle. Mere i Alm. bruges N. om
enhver Tilstand inden for et Samfund, hvor
Selvtægt har en lgn. Udbredelse som den havde i
den nævnte Periode, og hvor Domstolenes og i
det hele Statsmyndighedernes Autoritet er paa
lgn. Maade undergravet, som den dengang var.
<i>P. J. J.</i>
</chapter>
<chapter name="Nævius, Gnæus">
<b>Nævius,</b> <sp>Gnæus</sp>, romersk Digter, levede i
sidste Halvdel af 3. Aarh. f. Kr. Han tjente
som Soldat i den 1. puniske Krig. Han skal
være død i Landflygtighed i Utica, efter at han
ved sin skarpe Tunge havde skaffet sig
Uvenner bl de fornemme Romere, især Slægten
Metellus; Rigtigheden af denne Beretning er
dog i nyere Tid blevet betvivlet. N. er den egl.
første nationale rom. Digter. Ganske vist gav
han sig ogsaa af med Overs. af gr. Tragedier,
men tillige forfattede han Tragedier af
nationalt rom. Indhold (<i>prætextæ</i>) og desuden
Komedier. Størst Anseelse vandt han ved sit
episke Digt <i>Bellum Poenicum</i>, hvori han i
saturniske Vers skildrede den 1. puniske Krig,
men saaledes, at han i en Indledning gik helt
tilbage til de mytiske Tider (Æneas og Dido).
N.'s Digte nød senere stor Anseelse blandt
Romerne; endnu Vergil er paavirket af ham.
Nu er kun Brudstykker bevarede. De
dramatiske Brudstykker er udgivne af Ribbeck
i <i>Scænicæ Romanorum poesis fragmenta</i>, I—II
|
51366efc48766c2bcea526d5d9d3d5143e9744d5
|
2023-03-17T10:34:24.476483
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7765428003, "avg_line_length": 39.1428571429, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "f8a7b908c350b8df4ea58eb048cc76579b7adbca", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "jengeldk/salmonsen", "max_forks_repo_path": "current/18/Pages/0367.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "f8a7b908c350b8df4ea58eb048cc76579b7adbca", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "jengeldk/salmonsen", "max_issues_repo_path": "current/18/Pages/0367.txt", "max_line_length": 84, "max_stars_count": null, "max_stars_repo_head_hexsha": "f8a7b908c350b8df4ea58eb048cc76579b7adbca", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "jengeldk/salmonsen", "max_stars_repo_path": "current/18/Pages/0367.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 6028}
| 2022-12-01T00:00:00 |
text
| 8,154 |
10738.81485
10862.90845
10827.91957
10620.87055
10644.34363
10689.73512
10589.96828
10427.07963
10548.90255
10564.67823
10570.41699
10493.25932
10419.07381
10498.09831
10521.59306
10524.70632
10523.80821
10414.2692
10424.05434
10412.35258
10436.3627
10458.55717
10470.21215
10430.0926
10523.95608
10608.3894
10467.19239
10347.84404
10481.01755
10543.60297
10506.78868
10624.42418
10746.47566
10677.54045
10612.77743
10606.63578
10667.24305
10520.07454
10752.74806
10683.58046
10644.57951
10837.07688
10654.68407
10731.25677
10722.43208
10491.67965
10674.76639
10691.63674
10668.25335
10573.21755
10463.88948
10515.91783
10526.47227
10425.41231
10353.90088
10466.58437
10554.40825
10474.92132
10559.3899
10598.03736
10739.65775
10619.48608
10482.76928
10461.84254
10469.01464
10473.136
10462.62756
10420.13145
10564.36098
10685.88154
10685.18313
10621.41858
10454.56177
10541.3881
10740.04898
10542.88502
10783.88906
10874.04113
10733.19609
10667.83144
10702.18875
10732.09912
10833.78742
10590.58935
10543.43142
10520.26814
10552.35049
10645.43691
10515.36232
10528.86925
10599.88963
10475.28678
10371.18508
10371.81029
10436.22978
10431.22679
10425.10198
10460.6801
10466.37306
10453.15247
10455.51139
10580.10782
10600.98208
10675.53566
10782.17378
10698.53334
10519.974
10523.78813
10562.38029
10558.77429
10500.00867
10621.39298
10637.68506
10586.31163
10492.8731
10445.78069
10583.36714
10553.28472
10419.19003
10592.38151
10672.53412
10497.95891
10588.23298
10766.7103
10732.23639
10494.62948
10469.53065
10528.3722
10483.78494
10432.07266
10625.84945
10690.02766
10623.08569
10710.5849
10759.83808
10641.74903
10490.83833
10452.21497
10726.89574
10669.856
10537.59268
10534.06279
10623.25103
10473.94123
10505.56946
10580.95096
10634.04178
10567.6742
10440.41011
10449.93537
10472.50837
10387.32916
10608.61617
10502.3304
10664.99988
10748.72608
10624.87928
10564.97969
10633.28037
10548.99681
|
a026e9de5cc571d09c48d1b158f28a8f2a626b08
|
2023-03-17T10:27:26.030316
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7118415128, "avg_line_length": 13.7950310559, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "7b8589fecb1979ab65487bdac457bacf6fc2e596", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "sdecross/dynamic-learning", "max_forks_repo_path": "data/roi-extraction-files/gPPI/visualization/control/1135_acc.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "7b8589fecb1979ab65487bdac457bacf6fc2e596", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "sdecross/dynamic-learning", "max_issues_repo_path": "data/roi-extraction-files/gPPI/visualization/control/1135_acc.txt", "max_line_length": 13, "max_stars_count": null, "max_stars_repo_head_hexsha": "7b8589fecb1979ab65487bdac457bacf6fc2e596", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "sdecross/dynamic-learning", "max_stars_repo_path": "data/roi-extraction-files/gPPI/visualization/control/1135_acc.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 2221}
| 2022-12-01T00:00:00 |
text
| 8,155 |
author: Bj�rnstjerne Martinius Bj�rnson
title: Marit's Song (From A Happy Boy)
---
"Dance!" called the fiddle,
Its strings loudly giggled,
The bailiff's man wriggled
Ahead for a spree.
"Hold!" shouted Ola
And tripped him to tumbling,
The bailiff's man humbling,
To maidens' great glee.
"Hop!" said then Erik,
His foot struck the ceiling,
The beams rang their pealing,
The walls gave a shriek.
"Stop!" said now Elling,
And seizing him collared,
He held him and hollered:
"You still are too weak!"
"Hei!" said then Rasmus,
Fair Randi embracing:
"Be quick now in placing
The kiss that you know!"
"Nay!" answered Randi.
A slapping she gave him,
And from her she drave him:
"Here take what I owe!"
|
903fd3a9048f727a42a25ffb28f035e19daeac26
|
2023-03-17T10:45:14.085174
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7204450626, "avg_line_length": 21.1470588235, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2021-12-08T03:31:11.000Z", "max_forks_repo_forks_event_min_datetime": "2017-02-28T08:59:33.000Z", "max_forks_repo_head_hexsha": "f734b8eb96d1c8659e7865646306ec29eec851b4", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "lahorichargha/public-domain-poetry", "max_forks_repo_path": "poems/Bjrnstjerne-Martinius-Bjrnson-Marit-s-Song-From-A-Happy-Boy.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "f734b8eb96d1c8659e7865646306ec29eec851b4", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "lahorichargha/public-domain-poetry", "max_issues_repo_path": "poems/Bjrnstjerne-Martinius-Bjrnson-Marit-s-Song-From-A-Happy-Boy.txt", "max_line_length": 40, "max_stars_count": 4, "max_stars_repo_head_hexsha": "f734b8eb96d1c8659e7865646306ec29eec851b4", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "facjure/public-domain-poetry", "max_stars_repo_path": "poems/Bjrnstjerne-Martinius-Bjrnson-Marit-s-Song-From-A-Happy-Boy.txt", "max_stars_repo_stars_event_max_datetime": "2020-06-01T10:20:21.000Z", "max_stars_repo_stars_event_min_datetime": "2017-12-28T23:14:45.000Z", "size": 719}
| 2022-12-01T00:00:00 |
text
| 8,156 |
$didier
Mirrors can deflect lasers. Push on a mirror to change its direction.
Make sure you don’t deflect the beam towards us though!
|
de872f1aecbc62ba9c0b7859346a1eea75405e0a
|
2023-03-17T09:58:36.056075
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7655172414, "avg_line_length": 36.25, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2018-03-26T07:18:46.000Z", "max_forks_repo_forks_event_min_datetime": "2018-03-26T07:18:46.000Z", "max_forks_repo_head_hexsha": "eb6a17ea14da190c13c35a84c1bfb8ba8b4a3ed0", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "ruttlej/CS7038", "max_forks_repo_path": "Assets/Levels/Resources/Dialogues/09 - Mirror Tutorial.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "eb6a17ea14da190c13c35a84c1bfb8ba8b4a3ed0", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "ruttlej/CS7038", "max_issues_repo_path": "Assets/Levels/Resources/Dialogues/09 - Mirror Tutorial.txt", "max_line_length": 71, "max_stars_count": null, "max_stars_repo_head_hexsha": "eb6a17ea14da190c13c35a84c1bfb8ba8b4a3ed0", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "ruttlej/CS7038", "max_stars_repo_path": "Assets/Levels/Resources/Dialogues/09 - Mirror Tutorial.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 145}
| 2022-12-01T00:00:00 |
text
| 8,157 |
`ban` - Bans the user that you mention from your server.
`clear` - Deletes a certain amount of messages you give it.
`kick` - Kicks the user that you mention from your server.
`mute` - Mutes the user that you mention from your server.
`poll` - Makes a poll in the server.
`unmute` - Unmutes the user that you mention from your server.
|
4f552031aa1fce9dfb87062cd15cbd6531e1b6d7
|
2023-03-17T10:26:43.187099
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7402985075, "avg_line_length": 47.8571428571, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2019-09-18T16:44:34.000Z", "max_forks_repo_forks_event_min_datetime": "2019-03-29T01:06:38.000Z", "max_forks_repo_head_hexsha": "bea8bbf374eccb72bb82be873a9fde279c71db2f", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "TritaxXCoder/ium", "max_forks_repo_path": "data/help-info/moderation.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "bea8bbf374eccb72bb82be873a9fde279c71db2f", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "TritaxXCoder/ium", "max_issues_repo_path": "data/help-info/moderation.txt", "max_line_length": 62, "max_stars_count": 3, "max_stars_repo_head_hexsha": "bea8bbf374eccb72bb82be873a9fde279c71db2f", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "Sync-Codes/ium", "max_stars_repo_path": "data/help-info/moderation.txt", "max_stars_repo_stars_event_max_datetime": "2021-03-29T13:45:27.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-18T16:44:33.000Z", "size": 335}
| 2022-12-01T00:00:00 |
text
| 8,158 |
<h1>Das ist PayPal Express</h1>
<br />
<p>Sobald Sie PayPal Express in Ihren Shop integriert haben, öffnen Sie die Tür zu 15 Millionen PayPal-Kunden und einer durchschnittlichen Umsatzsteigerung von 18,7%.<a href="#footnote-1"><abbr title="E-Commerce Center Handel, IZH6 Studie, Köln 2012"><sup>[1]</sup></abbr></a> Denn deutsche Online-Käufer sind besonders sicherheitsbewusst und halten beim Einkauf gezielt Ausschau nach PayPal.</p>
<br />
<p>
<ul>
<li>· Die Integration ist schnell erledigt.</li>
<li>· Der Bezahlprozess ist für mobile Geräte optimiert.</li>
<li>· Keine Einrichtungskosten oder monatlichen Grundgebühren.</li>
<li>· Sobald Sie Geld empfangen, erheben wir eine Gebühr von 1,9% plus 0,35 Euro.</li>
</ul>
<a href="https://www.paypal-deutschland.de/haendler/was-ist-PayPal/das-kostet-PayPal.html" target="_blank">Weitere Information zu PayPal und entstehenden Kosten</a>
</p>
<br />
<h1>Los geht’s</h1>
<br />
<strong>So eröffnen Sie ein Geschäftskonto</string>
<p>Der Anmeldeprozess gliedert sich in drei einfache Schritte. Was Sie dazu brauchen? Ihre Firmen- und Bankdaten, E-Mail-Adresse und gegebenenfalls Ihre Steuernummer.</p>
<p><strong>· Schritt 1:</strong> Klicken Sie auf "Jetzt Konto eröffnen" und geben Sie Ihre Geschäftsdaten ein.</p>
<p><strong>· Schritt 2:</strong> Bestätigen Sie Ihre E-Mail-Adresse.</p>
<p><strong>· Schritt 3:</strong> Fügen Sie nun noch Ihr Bankkonto Ihrem PayPal-Konto hinzu. Fertig.</p>
<p>Nachdem Sie jetzt noch Ihr Bankkonto bestätigt haben, wird Ihnen Ihr Integrations-Partner eine einfache Anleitung geben, wie Sie den PayPal-Express-Button in Ihren Shop einbauen können.
<br />
<input value="JETZT KONTO ERÖFFNEN" onclick="window.open('http://altfarm.mediaplex.com/ad/ck/3484-158045-8030-0?PMA4=Shopware&PMA5=Cart&PMA6=Backend&PMA7=Profilseite&PMA8=Signup&mpro=https://www.paypal.com/de/cgi-bin/webscr?cmd=_registration-run-validated&account_type=2&country=DE&cid=MGWNA3M2236ULYNN');" type="button" /><br />
<p>Haben Sie Fragen? Dann <a href="https://www.paypal-deutschland.de/haendler/kontakt/index.html" target="_blank">schreiben Sie uns</a> oder rufen uns direkt an: 01805 23 32 05.</p>
<br />
<small><p id="footnote-1">[1] *E-Commerce Center Handel, IZH6 Studie, Köln 2012.</p></small>
|
379561c3a84412b7ccdc0e85fa46bc08d6c653bb
|
2023-03-17T10:20:33.665763
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7536552946, "avg_line_length": 70.53125, "ext": "txt", "max_forks_count": 22, "max_forks_repo_forks_event_max_datetime": "2020-03-05T16:25:31.000Z", "max_forks_repo_forks_event_min_datetime": "2015-03-09T08:30:58.000Z", "max_forks_repo_head_hexsha": "e4dd88d875f83148c115e8fe920ea22bd8311696", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "jensgswiss/SwagPaymentPaypal", "max_forks_repo_path": "info.txt", "max_issues_count": 14, "max_issues_repo_head_hexsha": "e4dd88d875f83148c115e8fe920ea22bd8311696", "max_issues_repo_issues_event_max_datetime": "2019-03-06T14:29:28.000Z", "max_issues_repo_issues_event_min_datetime": "2016-01-05T08:13:15.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "jensgswiss/SwagPaymentPaypal", "max_issues_repo_path": "info.txt", "max_line_length": 396, "max_stars_count": 5, "max_stars_repo_head_hexsha": "e4dd88d875f83148c115e8fe920ea22bd8311696", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "jensgswiss/SwagPaymentPaypal", "max_stars_repo_path": "info.txt", "max_stars_repo_stars_event_max_datetime": "2021-02-12T10:15:01.000Z", "max_stars_repo_stars_event_min_datetime": "2015-09-10T09:18:03.000Z", "size": 2257}
| 2022-12-01T00:00:00 |
text
| 8,159 |
857.3
2162
2099.7
2400
2400
2878
3000
3000
2991.4
3600
3600
3530.8
3540.3
4062.8
4149.7
4200
4138.1
4603
4710
4764.1
4800
5400
6018.3
5400
5400
5911.3
6450.2
7982.8
9522.9
9783.5
10427.8
11285.7
5400
6000
6000
6000
6000
12167.7
13248.7
13737.3
13787.5
14267.2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
|
8a307751f3dff73b80f3b09c8f599dc1f594be9f
|
2023-03-17T10:02:45.283676
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.5334841629, "avg_line_length": 2.2055888224, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2019-11-11T21:43:34.000Z", "max_forks_repo_forks_event_min_datetime": "2019-11-11T21:43:34.000Z", "max_forks_repo_head_hexsha": "3462ff8cc555ad646b59909c661ca58b21294a7b", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "kyspencer/GAMMA-PC-A-Greedy-Memetic-Algorithm-for-Storing-Cooling-Objects", "max_forks_repo_path": "Results_Dynamic/NSGA-II/Cookies1000/Experiment19/variables/18999_tfill.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "3462ff8cc555ad646b59909c661ca58b21294a7b", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "kyspencer/GAMMA-PC-A-Greedy-Memetic-Algorithm-for-Storing-Cooling-Objects", "max_issues_repo_path": "Results_Dynamic/NSGA-II/Cookies1000/Experiment19/variables/18999_tfill.txt", "max_line_length": 33, "max_stars_count": null, "max_stars_repo_head_hexsha": "3462ff8cc555ad646b59909c661ca58b21294a7b", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "kyspencer/GAMMA-PC-A-Greedy-Memetic-Algorithm-for-Storing-Cooling-Objects", "max_stars_repo_path": "Results_Dynamic/NSGA-II/Cookies1000/Experiment19/variables/18999_tfill.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 2210}
| 2022-12-01T00:00:00 |
text
| 8,160 |
HLT
|
c4cf3cd9be534bcc68ca8a8861eb9174a7bd232d
|
2023-03-17T10:32:30.484763
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.75, "avg_line_length": 2, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "9aab3e96c142cf7a1c6973ed721720028d4994fa", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "SamahAyman/Microprocessor_Simulator_OOD", "max_forks_repo_path": "Phase II/tests/runC/testC3.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "9aab3e96c142cf7a1c6973ed721720028d4994fa", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "SamahAyman/Microprocessor_Simulator_OOD", "max_issues_repo_path": "Phase II/tests/runC/testC3.txt", "max_line_length": 3, "max_stars_count": null, "max_stars_repo_head_hexsha": "9aab3e96c142cf7a1c6973ed721720028d4994fa", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "SamahAyman/Microprocessor_Simulator_OOD", "max_stars_repo_path": "Phase II/tests/runC/testC3.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 4}
| 2022-12-01T00:00:00 |
text
| 8,161 |
1539.0000 757.0000
1536.4357 757.9925
1533.8726 758.9828
1531.3120 759.9689
1528.7549 760.9485
1526.2026 761.9194
1523.6565 762.8797
1521.1176 763.8270
1518.5870 764.7593
1516.0662 765.6744
1513.5562 766.5701
1511.0582 767.4443
1508.5735 768.2949
1506.1034 769.1196
1503.6489 769.9164
1501.2113 770.6831
1498.7937 771.4200
1496.4009 772.1298
1494.0378 772.8153
1491.7095 773.4793
1489.4207 774.1246
1487.1766 774.7542
1484.9822 775.3706
1482.8423 775.9769
1480.7618 776.5759
1478.7460 777.1703
1476.7994 777.7631
1474.9274 778.3569
1473.1316 778.9544
1471.4038 779.5573
1469.7332 780.1671
1468.1088 780.7852
1466.5198 781.4130
1464.9553 782.0522
1463.4048 782.7042
1461.8572 783.3703
1460.3018 784.0522
1458.7280 784.7512
1457.1338 785.4691
1455.5222 786.2075
1453.8973 786.9681
1452.2626 787.7527
1450.6218 788.5630
1448.9785 789.4008
1447.3367 790.2676
1445.6998 791.1653
1444.0715 792.0956
1442.4556 793.0599
1440.8527 794.0574
1439.2631 795.0862
1437.6864 796.1443
1436.1228 797.2297
1434.5720 798.3403
1433.0341 799.4743
1431.5088 800.6296
1429.9962 801.8044
1428.4961 802.9965
1427.0083 804.2040
1425.5308 805.4252
1424.0591 806.6584
1422.5887 807.9022
1421.1152 809.1549
1419.6340 810.4150
1418.1405 811.6810
1416.6304 812.9512
1415.0989 814.2242
1413.5417 815.4984
1411.9542 816.7723
1410.3330 818.0444
1408.6826 819.3157
1407.0107 820.5876
1405.3252 821.8616
1403.6337 823.1392
1401.9440 824.4221
1400.2638 825.7118
1398.6011 827.0098
1396.9634 828.3176
1395.3585 829.6367
1393.7943 830.9688
1392.2783 832.3152
1390.8125 833.6737
1389.3931 835.0383
1388.0160 836.4030
1386.6774 837.7615
1385.3729 839.1078
1384.0986 840.4355
1382.8506 841.7388
1381.6245 843.0112
1380.4166 844.2468
1379.2227 845.4396
1378.0386 846.5902
1376.8599 847.7091
1375.6824 848.8072
1374.5018 849.8956
1373.3137 850.9851
1372.1139 852.0870
1370.8979 853.2120
1369.6615 854.3713
1368.4004 855.5756
1367.1129 856.8282
1365.8002 858.1245
1364.4631 859.4597
1363.1030 860.8289
1361.7211 862.2269
1360.3184 863.6490
1358.8960 865.0901
1357.4552 866.5455
1355.9971 868.0100
1354.5228 869.4789
1353.0341 870.9473
1351.5350 872.4116
1350.0309 873.8688
1348.5271 875.3157
1347.0286 876.7491
1345.5409 878.1660
1344.0692 879.5632
1342.6187 880.9375
1341.1946 882.2859
1339.8022 883.6051
1338.4468 884.8921
1337.1315 886.1452
1335.8485 887.3708
1334.5864 888.5779
1333.3339 889.7754
1332.0797 890.9722
1330.8124 892.1772
1329.5208 893.3995
1328.1934 894.6479
1326.8190 895.9315
1325.3862 897.2590
1323.8901 898.6354
1322.3408 900.0566
1320.7499 901.5171
1319.1294 903.0114
1317.4911 904.5342
1315.8468 906.0798
1314.2086 907.6431
1312.5883 909.2183
1310.9976 910.8002
1309.4485 912.3832
1307.9529 913.9620
1306.5225 915.5311
1305.1598 917.0863
1303.8529 918.6256
1302.5894 920.1470
1301.3560 921.6486
1300.1401 923.1283
1298.9288 924.5842
1297.7095 926.0145
1296.4690 927.4170
1295.1946 928.7899
1293.8734 930.1312
1292.4949 931.4399
1291.0616 932.7214
1289.5815 933.9835
1288.0627 935.2339
1286.5132 936.4805
1284.9409 937.7310
1283.3540 938.9933
1281.7603 940.2751
1280.1678 941.5844
1278.5847 942.9288
1277.0189 944.3162
1275.4768 945.7520
1273.9584 947.2323
1272.4619 948.7505
1270.9858 950.3003
1269.5283 951.8749
1268.0875 953.4680
1266.6621 955.0731
1265.2500 956.6837
1263.8497 958.2932
1262.4594 959.8952
1261.0774 961.4832
1259.7021 963.0508
1258.3315 964.5962
1256.9637 966.1227
1255.5967 967.6337
1254.2285 969.1326
1252.8572 970.6230
1251.4805 972.1083
1250.0967 973.5920
1248.7037 975.0776
1247.2997 976.5686
1245.8823 978.0683
1244.4500 979.5803
1243.0022 981.1041
1241.5415 982.6345
1240.0702 984.1660
1238.5908 985.6927
1237.1057 987.2092
1235.6173 988.7097
1234.1283 990.1885
1232.6407 991.6401
1231.1575 993.0588
1229.6807 994.4390
1228.2129 995.7750
1226.7567 997.0641
1225.3154 998.3136
1223.8926 999.5323
1222.4916 1000.7291
1221.1157 1001.9130
1219.7687 1003.0929
1218.4536 1004.2777
1217.1741 1005.4763
1215.9335 1006.6978
1214.7352 1007.9508
1213.5790 1009.2406
1212.4568 1010.5640
1211.3594 1011.9171
1210.2780 1013.2957
1209.2032 1014.6958
1208.1263 1016.1133
1207.0381 1017.5442
1205.9296 1018.9845
1204.7916 1020.4301
1203.6157 1021.8770
1202.4004 1023.3236
1201.1494 1024.7699
1199.8667 1026.2159
1198.5563 1027.6617
1197.2220 1029.1073
1195.8682 1030.5527
1194.4983 1031.9980
1193.1166 1033.4432
1191.7269 1034.8883
1190.3334 1036.3334
|
6b8e7d77e4cfa120c5b189a1d116763f95b305fb
|
2023-03-17T10:44:28.921936
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7907834101, "avg_line_length": 19.0350877193, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "6c791cbc0fd1e108ec38e8c4864f7cec6827a132", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "DanChitwood/grapevine_ampelometry", "max_forks_repo_path": "0_visual_check/ampelometry_data/L0252B4_d.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "6c791cbc0fd1e108ec38e8c4864f7cec6827a132", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "DanChitwood/grapevine_ampelometry", "max_issues_repo_path": "0_visual_check/ampelometry_data/L0252B4_d.txt", "max_line_length": 19, "max_stars_count": 1, "max_stars_repo_head_hexsha": "6c791cbc0fd1e108ec38e8c4864f7cec6827a132", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "DanChitwood/grapevine_ampelometry", "max_stars_repo_path": "0_visual_check/ampelometry_data/L0252B4_d.txt", "max_stars_repo_stars_event_max_datetime": "2022-02-17T15:03:10.000Z", "max_stars_repo_stars_event_min_datetime": "2022-02-17T15:03:10.000Z", "size": 4340}
| 2022-12-01T00:00:00 |
text
| 8,162 |
Lista de dependências:
-> Google Test
-> Graph Viewer
-> mapa do Porto (default map)
Instruções de compilação:
-> Colocar a working directory na root (pasta com o trabalho submetido) e correr a função main.
-> Os testes unitários (Google Tests) são um próprio executável (ver CMakeLists.txt)
|
7f6c908d64ddb490e57b5daab1de85d23c2965e7
|
2023-03-17T10:08:52.079426
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7101910828, "avg_line_length": 34.8888888889, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "57e793d32a176c43c93bbf03a1b863bbe5b7a3e3", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "bdmendes/feup-cal-parking", "max_forks_repo_path": "ReadMe.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "57e793d32a176c43c93bbf03a1b863bbe5b7a3e3", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "bdmendes/feup-cal-parking", "max_issues_repo_path": "ReadMe.txt", "max_line_length": 99, "max_stars_count": null, "max_stars_repo_head_hexsha": "57e793d32a176c43c93bbf03a1b863bbe5b7a3e3", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "bdmendes/feup-cal-parking", "max_stars_repo_path": "ReadMe.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 314}
| 2022-12-01T00:00:00 |
text
| 8,163 |
١٢٢
وه تارة اخرى شر يدة بوهيمية لم تستقر قط ف دارو لاو طن
وما استمرت قط مع عشاي
وزد يب سرير لو محيت عنها السرر جاذبا لمثلت
لك راهة خاشعة تهم بالصلاة ، او نخة م تخايا الالهة تسلق
الى حراب القريان
ولها صورة على سفح الهرم لر اخفيت منها الهرم لخاها حورته
مقورة ف ارض يونان القدمة ، تهم بلير قص في كروم باخوس
وكان همام يراقب هذه الشخوص ويتصمح هذه الوجوه وهو
مغتط تارة ومشفق تارة اخرى ، ويعزو تقلبها واطرادها الى
الفتاة الحية التى عبس في محابس اللفحار وللعادات والتقاليد، واي
اسدا في اندى العواطف والنوازع عجينة الخلق المهياة لصاع
والتركيب فى كل ساعة
وخطر له ان يتشي حو لها رواة مسرحية هن سماع ابطالا وه
البطل الوحيد فيها ، تدور محاوراتها عل المثال الاتي
سارة اى لا ارضى ان اصلحك فى الطريق وانت فى هذه
الشاب الفانية
سارة وهل محسبين اذاي اسر بمصلحتك وانت بهذه السحنة
العابسة وهذه المسوح الحزنة وهذا الرى الذى فه زي الحداد
سارة عل رسيتا ايتها الصديقتان ، لا تتخاصيا ولا تشرعا
|
6e7a305e370540cd16f1ba43f3dac01de03cf711
|
2023-03-17T10:32:43.557160
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7610132159, "avg_line_length": 43.2380952381, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "a64b0b59e89e39565911359946158aece614022d", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "CAMeL-Lab/arafix_ocr", "max_forks_repo_path": "data/columbia_aco000270/columbia_aco000270_post_edited/columbia_aco000270_model_msa_70m_map_pure_emp_pg25_top30/predicted_122.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "a64b0b59e89e39565911359946158aece614022d", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "CAMeL-Lab/arafix_ocr", "max_issues_repo_path": "data/columbia_aco000270/columbia_aco000270_post_edited/columbia_aco000270_model_msa_70m_map_pure_emp_pg25_top30/predicted_122.txt", "max_line_length": 64, "max_stars_count": null, "max_stars_repo_head_hexsha": "a64b0b59e89e39565911359946158aece614022d", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "CAMeL-Lab/arafix_ocr", "max_stars_repo_path": "data/columbia_aco000270/columbia_aco000270_post_edited/columbia_aco000270_model_msa_70m_map_pure_emp_pg25_top30/predicted_122.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 908}
| 2022-12-01T00:00:00 |
text
| 8,164 |
TITLE
Gene expression profile of intact and hypophysectomized adult male and female mouse liver
ORGANISM
Mus musculus
SUMMARY
Gene expression in intact and hypophysectomized adult mouse liver was assayed by RNA-seq analysis of total liver RNA, as part of a study of growth hormone regulation of hepatic lincRNAs.
DESIGN
Eight independent pools: two intact males, two intact females, two hypophysectomized males and two hypophysectomized females, comprised of total RNA isolated from 3-5 individual livers / pool, were prepared and used for unstranded RNA-seq.
PLATFORM
GPL13112 Illumina HiSeq 2000 (Mus musculus)
CITATIONS
26459762
|
d244f9dd74ea934fd4926dfb2ffb59cbf116fd80
|
2023-03-17T10:32:30.484763
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8244514107, "avg_line_length": 33.5789473684, "ext": "txt", "max_forks_count": 9, "max_forks_repo_forks_event_max_datetime": "2020-11-05T11:21:59.000Z", "max_forks_repo_forks_event_min_datetime": "2017-09-15T02:07:41.000Z", "max_forks_repo_head_hexsha": "a3021ece17b7184d5e6a2f2762a31a8479e4f4fa", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "biolisp/Biochat", "max_forks_repo_path": "data/GEO/GEO_records/GSE/66003.txt", "max_issues_count": 16, "max_issues_repo_head_hexsha": "a3021ece17b7184d5e6a2f2762a31a8479e4f4fa", "max_issues_repo_issues_event_max_datetime": "2018-10-19T06:46:44.000Z", "max_issues_repo_issues_event_min_datetime": "2017-08-19T22:50:59.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "biolisp/Biochat", "max_issues_repo_path": "data/GEO/GEO_records/GSE/66003.txt", "max_line_length": 239, "max_stars_count": 49, "max_stars_repo_head_hexsha": "1eaaa1b2e0c427991f571d60c86ea327a69f828a", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "jqtruong/Biochat", "max_stars_repo_path": "data/GEO/GEO_records/GSE/66003.txt", "max_stars_repo_stars_event_max_datetime": "2022-02-02T10:31:42.000Z", "max_stars_repo_stars_event_min_datetime": "2017-04-01T08:55:13.000Z", "size": 638}
| 2022-12-01T00:00:00 |
text
| 8,165 |
grain
terminals
preparing
high
water
rivers
near
minneapolis
making
plans
sandbagging
operations
evacuating
facilities
grain
officials
said.the
continental
grain
elevator
savage
minn
minnesota
river
operating
friday
close
week
flood
waters
close
access
road
terminal
continental
spokesman
said.high
water
preventing
terminal
loading
grain
barges
far
facility
damaged
rising
river
st
paul
district
army
corps
engineers
expects
minnesota
river
level
reach
23
feet
24
hours
western
minnesota
feet
flood
stage
rainfall
forecast
minnesota
western
wisconsin
weekend
corps
said
late
friday
rapid
snow
melt
forecast
rainfall
result
higher
crests
minnesota
mississippi
st
croix
rivers
corps
said.at
savage
minn
minnesota
forecast
rise
1.2
feet
24
hours
corps
said
river
crest
record
set
1993
minnneapolis
grain
merchandiser
said
local
terminals
closed
monday
high
river
levels
forecast
rainfall
occurs
elevators
water
able
load
rail
tracks
water
river
getting
high
can't
load
barges
said
minneapolis
grain
merchandiser
chicago
newsdesk
312-408-8720
|
619801ecbfd91c1ebcc5eb49f39a925e3b13a563
|
2023-03-17T10:26:26.665203
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7523245985, "avg_line_length": 8.2152777778, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "417417568af49faeb8c2a5844d03b7f1c48e58c2", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "Erician/hadoop-course", "max_forks_repo_path": "reference/NBCorpus/Country/USA/487639newsML.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "417417568af49faeb8c2a5844d03b7f1c48e58c2", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "Erician/hadoop-course", "max_issues_repo_path": "reference/NBCorpus/Country/USA/487639newsML.txt", "max_line_length": 13, "max_stars_count": null, "max_stars_repo_head_hexsha": "417417568af49faeb8c2a5844d03b7f1c48e58c2", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "Erician/hadoop-course", "max_stars_repo_path": "reference/NBCorpus/Country/USA/487639newsML.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 1183}
| 2022-12-01T00:00:00 |
text
| 8,166 |
1643529604375:14064125:虎虎生威
SPEAKERNUM1;14064125:盛百凡:1
V2
|
42d7ddb346584eb9ab34b20430a53f053e615027
|
2023-03-17T10:08:49.885528
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8620689655, "avg_line_length": 14.5, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "e7a72204a4547a0eaa37ed3f687e744ea9f6f0cc", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "cuihua0/bilibili-vtuber-danmaku", "max_forks_repo_path": "danmaku/12548471/2022-1-30.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "e7a72204a4547a0eaa37ed3f687e744ea9f6f0cc", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "cuihua0/bilibili-vtuber-danmaku", "max_issues_repo_path": "danmaku/12548471/2022-1-30.txt", "max_line_length": 27, "max_stars_count": null, "max_stars_repo_head_hexsha": "e7a72204a4547a0eaa37ed3f687e744ea9f6f0cc", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "cuihua0/bilibili-vtuber-danmaku", "max_stars_repo_path": "danmaku/12548471/2022-1-30.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 58}
| 2022-12-01T00:00:00 |
text
| 8,167 |
python-dotenv==0.10.1
requests
wit
fastapi
gunicorn
uvicorn
cryptography
sqlalchemy
|
dd48345c1ba771c204b0c56fbe7029a2e934df7a
|
2023-03-17T10:50:09.040447
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8452380952, "avg_line_length": 9.3333333333, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "3a5613976ea9d88d98eb8cfee46a0472fb24aafd", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "Ahmed0Sultan/cipher-chatbot", "max_forks_repo_path": "requirements.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "3a5613976ea9d88d98eb8cfee46a0472fb24aafd", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "Ahmed0Sultan/cipher-chatbot", "max_issues_repo_path": "requirements.txt", "max_line_length": 21, "max_stars_count": 3, "max_stars_repo_head_hexsha": "3a5613976ea9d88d98eb8cfee46a0472fb24aafd", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "Ahmed0Sultan/cipher-chatbot", "max_stars_repo_path": "requirements.txt", "max_stars_repo_stars_event_max_datetime": "2022-02-16T16:34:00.000Z", "max_stars_repo_stars_event_min_datetime": "2021-05-06T15:09:49.000Z", "size": 84}
| 2022-12-01T00:00:00 |
text
| 8,168 |
Counter({'TN': 170905, 'TP': 38533, 'FN': 6977, 'FP': 4136})
# Initial Accuracy: 0.949612561267
# Initial MCC: 0.843208222866
# Minimal variation in Mu: -0.0242295621757
# Min in Mu: [-0.0242295]
# Min variation in initial S: 0.0
gen nevals avg std min max
0 100 0.255318 0.0389901 0.164655 0.362354
1 35 0.293171 0.0320536 0.222578 0.362354
2 37 0.324093 0.0245895 0.262744 0.380517
3 34 0.344727 0.0238563 0.302103 0.38262
4 34 0.367638 0.0183424 0.321911 0.390796
5 38 0.383497 0.00737866 0.370016 0.412754
6 32 0.387706 0.00851822 0.380517 0.412754
7 38 0.396992 0.0104193 0.380517 0.418906
8 33 0.406962 0.00878145 0.385133 0.418906
9 36 0.413632 0.00655735 0.393705 0.426645
10 32 0.418068 0.00405156 0.403648 0.428722
11 38 0.42229 0.00395358 0.418129 0.433098
12 35 0.42749 0.00585604 0.418129 0.445241
13 38 0.434725 0.00779624 0.418906 0.457144
14 39 0.441212 0.00719458 0.429139 0.457144
15 33 0.447586 0.00764734 0.432819 0.478558
16 37 0.452872 0.00808665 0.440644 0.478558
17 32 0.457924 0.00670798 0.445241 0.478558
18 33 0.463509 0.00850859 0.448827 0.478558
19 38 0.471717 0.00906239 0.454677 0.487725
20 35 0.47749 0.00609797 0.459342 0.487725
21 30 0.482164 0.00432722 0.471248 0.501464
22 36 0.485733 0.00344542 0.478536 0.492958
23 37 0.489186 0.00398628 0.481284 0.510218
24 35 0.491413 0.00383498 0.487725 0.510218
25 33 0.494272 0.00422416 0.487725 0.510218
26 34 0.499309 0.005235 0.49003 0.513603
27 33 0.504425 0.00712136 0.493982 0.527763
28 39 0.510067 0.00850857 0.497369 0.530537
29 33 0.516594 0.00783081 0.499701 0.530537
30 38 0.525271 0.00600794 0.51131 0.533417
31 35 0.530072 0.00281836 0.517386 0.534438
32 29 0.532361 0.00153944 0.52887 0.535892
33 31 0.533394 0.00125376 0.530537 0.537992
34 34 0.535023 0.00174672 0.532932 0.538996
35 35 0.53669 0.00168305 0.533417 0.539886
36 38 0.538654 0.00181907 0.535033 0.548236
37 34 0.540409 0.00280342 0.536634 0.548236
38 42 0.54278 0.00369071 0.538571 0.551479
39 33 0.546396 0.00340842 0.539408 0.551479
40 40 0.54896 0.00343118 0.542376 0.560226
41 31 0.551693 0.00365302 0.547713 0.560226
42 42 0.555793 0.00460888 0.548236 0.564848
43 33 0.55983 0.00490712 0.551421 0.574283
44 43 0.563296 0.00441861 0.553013 0.577113
45 33 0.566753 0.0044978 0.560226 0.577113
46 38 0.570604 0.00401815 0.563045 0.577113
47 38 0.57482 0.00409861 0.56656 0.592285
48 27 0.579236 0.00533663 0.574283 0.596072
49 37 0.58249 0.0062773 0.576882 0.596072
50 43 0.587772 0.00555541 0.577113 0.596729
51 34 0.591512 0.00310172 0.578538 0.598417
52 36 0.595205 0.00484276 0.589232 0.614985
53 35 0.599266 0.006825 0.591258 0.614985
54 33 0.605172 0.00788073 0.595175 0.619901
55 32 0.611214 0.00639325 0.598417 0.619901
56 35 0.615351 0.0028067 0.600767 0.619901
57 37 0.617382 0.00245754 0.614985 0.625032
58 31 0.619431 0.00232795 0.614985 0.625064
59 35 0.620747 0.00203856 0.615827 0.625488
60 35 0.622417 0.00247514 0.619473 0.62687
61 39 0.624376 0.00211672 0.619901 0.62885
62 28 0.625974 0.00149111 0.622826 0.633731
63 29 0.627364 0.00218793 0.625032 0.633731
64 30 0.629109 0.00273514 0.625488 0.634973
65 34 0.63137 0.00282891 0.62687 0.634973
66 38 0.633657 0.001655 0.62885 0.640486
67 36 0.634928 0.00189343 0.633731 0.64086
68 36 0.637088 0.00332633 0.633731 0.648702
69 32 0.640076 0.00327557 0.634238 0.648702
70 34 0.641957 0.00329529 0.634617 0.648702
71 33 0.644517 0.00351673 0.64086 0.649223
72 34 0.647393 0.00247258 0.640894 0.649223
73 41 0.648688 0.00091477 0.64144 0.649321
74 38 0.649244 0.000968364 0.648702 0.654075
75 29 0.649887 0.00132934 0.648702 0.652797
76 31 0.650227 0.001408 0.648902 0.652797
77 33 0.651242 0.00153891 0.649223 0.652797
78 35 0.652524 0.00123992 0.649321 0.658121
79 35 0.653177 0.0010545 0.649384 0.658121
80 32 0.653802 0.000917502 0.652537 0.658121
81 37 0.654645 0.001407 0.652797 0.65981
82 38 0.655858 0.00181971 0.653218 0.65981
83 36 0.657808 0.00243493 0.654361 0.665094
84 33 0.659561 0.00231365 0.6544 0.665094
85 32 0.661068 0.00223542 0.655652 0.665094
86 28 0.663074 0.00226541 0.658121 0.665726
87 36 0.664905 0.00114941 0.660222 0.668409
88 37 0.66541 0.000789867 0.665094 0.668409
89 39 0.665928 0.00148646 0.665094 0.676619
90 33 0.667035 0.00232577 0.665094 0.676619
91 37 0.669009 0.00335508 0.665302 0.676619
92 41 0.671733 0.00392412 0.665921 0.676619
93 37 0.674402 0.00349773 0.668409 0.676619
94 34 0.67646 0.00115124 0.668409 0.677131
95 34 0.676542 0.000818969 0.668409 0.677131
96 35 0.67665 0.000121605 0.676619 0.677131
97 30 0.676711 0.000196722 0.676619 0.677131
98 31 0.676822 0.000280486 0.676619 0.677804
99 41 0.677148 0.000807281 0.676619 0.681518
100 35 0.67761 0.00128899 0.676619 0.682595
0.894106125114
0.682594726614
|
2e1aea75f8278d028de6f6486186ad7f8319a19d
|
2023-03-17T17:15:28.582732
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6803247734, "avg_line_length": 47.2857142857, "ext": "txt", "max_forks_count": 3, "max_forks_repo_forks_event_max_datetime": "2020-11-10T18:54:14.000Z", "max_forks_repo_forks_event_min_datetime": "2020-05-03T23:33:24.000Z", "max_forks_repo_head_hexsha": "bc61cf0ca0629119c8d29b146890873f92a46835", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "aquemy/HCBR", "max_forks_repo_path": "results/genetic_algorithm/skin_res_1.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "bc61cf0ca0629119c8d29b146890873f92a46835", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "aquemy/HCBR", "max_issues_repo_path": "results/genetic_algorithm/skin_res_1.txt", "max_line_length": 60, "max_stars_count": 5, "max_stars_repo_head_hexsha": "bc61cf0ca0629119c8d29b146890873f92a46835", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "aquemy/HCBR", "max_stars_repo_path": "results/genetic_algorithm/skin_res_1.txt", "max_stars_repo_stars_event_max_datetime": "2020-09-17T05:45:05.000Z", "max_stars_repo_stars_event_min_datetime": "2018-03-20T09:59:13.000Z", "size": 5296}
| 2022-12-01T00:00:00 |
text
| 8,169 |
i feel inadequate in almost everything that i do
|
3e810c10383703e099e52f7b5f6d943cb47bf14f
|
2023-03-17T10:38:13.996900
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8163265306, "avg_line_length": 24.5, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "1605c70b5d3b8cc92e80744e936787fe20a4167c", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "orugantiv/CSCE-585", "max_forks_repo_path": "Models/ScratchWork/data/EmoData/train/Sadness/7159.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "1605c70b5d3b8cc92e80744e936787fe20a4167c", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "orugantiv/CSCE-585", "max_issues_repo_path": "Models/ScratchWork/data/EmoData/train/Sadness/7159.txt", "max_line_length": 48, "max_stars_count": null, "max_stars_repo_head_hexsha": "1605c70b5d3b8cc92e80744e936787fe20a4167c", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "orugantiv/CSCE-585", "max_stars_repo_path": "Models/ScratchWork/data/EmoData/train/Sadness/7159.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 49}
| 2022-12-01T00:00:00 |
text
| 8,170 |
1615384996600:26766071:打卡
SPEAKERNUM1;26766071:cnslzr:1
V2
|
c072efa697d6f3d8dc24b12d60594d99fdd2d3ea
|
2023-03-17T10:41:01.249095
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8644067797, "avg_line_length": 14.75, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "22705583/2021-3-10.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "22705583/2021-3-10.txt", "max_line_length": 29, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "22705583/2021-3-10.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 59}
| 2022-12-01T00:00:00 |
text
| 8,171 |
scrapyd
|
2f6ffd3b12ee89aac8bb2e560c61f55f91d1473a
|
2023-03-17T10:32:40.341359
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.875, "avg_line_length": 4, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "f2c07b8907a1076dd8ac95bd5375a1b2caf45920", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "MercurialMune/CheapSk8-Crawler", "max_forks_repo_path": "virtual/lib/python3.6/site-packages/scrapyd-1.2.0.dist-info/top_level.txt", "max_issues_count": 8, "max_issues_repo_head_hexsha": "4146bf410a37932378ccca96a035bd2743b32cf4", "max_issues_repo_issues_event_max_datetime": "2022-03-11T23:47:00.000Z", "max_issues_repo_issues_event_min_datetime": "2020-06-05T20:50:45.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "nafalt94/hemnet-scraper-thrawny", "max_issues_repo_path": "project_env/Lib/site-packages/scrapyd-1.2.1.dist-info/top_level.txt", "max_line_length": 7, "max_stars_count": null, "max_stars_repo_head_hexsha": "4146bf410a37932378ccca96a035bd2743b32cf4", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "nafalt94/hemnet-scraper-thrawny", "max_stars_repo_path": "project_env/Lib/site-packages/scrapyd-1.2.1.dist-info/top_level.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 8}
| 2022-12-01T00:00:00 |
text
| 8,172 |
EAU DENTIFRICE
|
cffeb049688b16e3dfe989588b280e7f60687772
|
2023-03-17T10:02:45.283676
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.9285714286, "avg_line_length": 14, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2020-04-30T09:00:53.000Z", "max_forks_repo_forks_event_min_datetime": "2020-02-24T17:19:48.000Z", "max_forks_repo_head_hexsha": "db73e07687e3d766cb819a847726c5c1cee5b209", "max_forks_repo_licenses": ["CC-BY-4.0"], "max_forks_repo_name": "UB-Mannheim/AustrianNewspapers", "max_forks_repo_path": "gt/train/ONB_nfp_19110701_024/ONB_nfp_19110701_024.tif_line_1548753660933_16.gt.txt", "max_issues_count": 36, "max_issues_repo_head_hexsha": "db73e07687e3d766cb819a847726c5c1cee5b209", "max_issues_repo_issues_event_max_datetime": "2021-07-31T18:16:39.000Z", "max_issues_repo_issues_event_min_datetime": "2020-01-29T17:39:09.000Z", "max_issues_repo_licenses": ["CC-BY-4.0"], "max_issues_repo_name": "UB-Mannheim/AustrianNewspapers", "max_issues_repo_path": "gt/train/ONB_nfp_19110701_024/ONB_nfp_19110701_024.tif_line_1548753660933_16.gt.txt", "max_line_length": 14, "max_stars_count": 13, "max_stars_repo_head_hexsha": "db73e07687e3d766cb819a847726c5c1cee5b209", "max_stars_repo_licenses": ["CC-BY-4.0"], "max_stars_repo_name": "UB-Mannheim/AustrianNewspapers", "max_stars_repo_path": "gt/train/ONB_nfp_19110701_024/ONB_nfp_19110701_024.tif_line_1548753660933_16.gt.txt", "max_stars_repo_stars_event_max_datetime": "2021-09-28T06:59:37.000Z", "max_stars_repo_stars_event_min_datetime": "2020-01-28T13:35:14.000Z", "size": 14}
| 2022-12-01T00:00:00 |
text
| 8,173 |
BCI with the Deeplearning on the Matlab
|
091772b7eb6d1d7faae6b30a230362ae537284cb
|
2023-03-17T10:38:44.804839
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8461538462, "avg_line_length": 39, "ext": "txt", "max_forks_count": 112, "max_forks_repo_forks_event_max_datetime": "2022-03-22T07:08:19.000Z", "max_forks_repo_forks_event_min_datetime": "2016-01-22T01:45:44.000Z", "max_forks_repo_head_hexsha": "75daf901b2dbe215852cbff243606dcfcd10f05c", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "deep-bci-g/OpenBMI", "max_forks_repo_path": "PR_BCI_team/Team_StarLab/DYLee/ReadMe.txt", "max_issues_count": 24, "max_issues_repo_head_hexsha": "75daf901b2dbe215852cbff243606dcfcd10f05c", "max_issues_repo_issues_event_max_datetime": "2021-09-08T11:10:33.000Z", "max_issues_repo_issues_event_min_datetime": "2015-11-02T11:10:45.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "deep-bci-g/OpenBMI", "max_issues_repo_path": "PR_BCI_team/Team_StarLab/DYLee/ReadMe.txt", "max_line_length": 39, "max_stars_count": 217, "max_stars_repo_head_hexsha": "d9291ddb81f4319fb3764d7192e0363939a62ee9", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "PatternRecognition/OpenBMI", "max_stars_repo_path": "PR_BCI_team/Team_StarLab/DYLee/ReadMe.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-22T07:01:12.000Z", "max_stars_repo_stars_event_min_datetime": "2015-11-02T11:10:29.000Z", "size": 39}
| 2022-12-01T00:00:00 |
text
| 8,174 |
VAR,VAL,UNITS
2mTemp,282.008,Kelvin
2mDpt,274.823,Kelvin
sfcCAPE,44.6467,J/kg
sfcCIN,-2.78302,J/kg
sfcPotentialTmp,287.265,Kelvin
sfcPressure,93701.6,Pa
PWAT,11.5626,kg/m^2
2mRH,66.8042,%
srh,113.517,m^2/s^2
lifted index (500-100mb),281.731,Kelvin
lifted index 180-0 mb above gnd Best (4-layer),7.30272,Kelvin
10m wind speed,4.16267,m/s
250mb Geopotenial height,10408.6,gpm
250mb Temperature,219.447,Kelvin
250mb wind speed,32.2721,m/s
500mb Geopotenial height,5614.9,gpm
500mb Temperature,253.769,Kelvin
500mb wind speed,20.6652,m/s
700mb Geopotenial height,3031.57,gpm
700mb Temperature,269.407,Kelvin
700mb wind speed,12.3776,m/s
850mb Geopotenial height,1474.7,gpm
850mb Temperature,276.956,Kelvin
850mb wind speed,7.40984,m/s
925mb Geopotenial height,782.423,gpm
925mb Temperature,281.174,Kelvin
925mb wind speed,6.53291,m/s
|
810e6b171a3b2cac493ba3689b60b16f7e260c92
|
2023-03-17T10:26:36.809198
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7963855422, "avg_line_length": 28.6206896552, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "4f22149c7ebff5c3dc129bb785d56f161ab138a8", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "sburgholzer/MSDS-Capstone-Project", "max_forks_repo_path": "implementation/Data/textfiles/2001/MAR-09-2001-00Z.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "4f22149c7ebff5c3dc129bb785d56f161ab138a8", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "sburgholzer/MSDS-Capstone-Project", "max_issues_repo_path": "implementation/Data/textfiles/2001/MAR-09-2001-00Z.txt", "max_line_length": 61, "max_stars_count": null, "max_stars_repo_head_hexsha": "4f22149c7ebff5c3dc129bb785d56f161ab138a8", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "sburgholzer/MSDS-Capstone-Project", "max_stars_repo_path": "implementation/Data/textfiles/2001/MAR-09-2001-00Z.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 830}
| 2022-12-01T00:00:00 |
text
| 8,175 |
1429
1019
85460
1419
983
85480
1406
944
85500
1392
903
85520
1373
866
85540
1363
833
85560
1363
796
85580
1364
766
85600
1350
728
85620
1321
705
85640
1307
682
85660
1304
654
85680
1293
626
85700
1284
595
85720
1275
573
85740
1268
546
85760
1273
526
85780
1267
510
85800
1259
489
85820
1255
465
85840
1251
443
85860
1253
427
85880
1254
410
85900
1247
391
85920
1234
370
85940
1228
349
85960
1229
334
85980
1229
320
86000
1229
306
86020
1232
293
86040
1236
274
86060
1235
259
86080
1238
243
86100
1239
233
86120
1231
219
86140
1230
208
86160
1228
199
86180
1233
188
86200
1241
176
86220
1247
162
86240
1249
155
86260
1247
140
86280
1245
132
86300
1232
120
86320
1223
111
86340
1209
99
86360
1197
90
86380
1188
78
86400
|
f68a6074cbefd3601b6259426014e516db559179
|
2023-03-17T10:21:23.383228
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6658932715, "avg_line_length": 5.9448275862, "ext": "txt", "max_forks_count": 63, "max_forks_repo_forks_event_max_datetime": "2022-03-26T08:39:52.000Z", "max_forks_repo_forks_event_min_datetime": "2020-08-24T13:45:57.000Z", "max_forks_repo_head_hexsha": "8277f526d714a4e77d0f9f354259ff5b74e59fd2", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "RedTachyon/OpenTraj", "max_forks_repo_path": "datasets/GC/Annotation/009459.txt", "max_issues_count": 15, "max_issues_repo_head_hexsha": "8277f526d714a4e77d0f9f354259ff5b74e59fd2", "max_issues_repo_issues_event_max_datetime": "2022-03-28T19:06:07.000Z", "max_issues_repo_issues_event_min_datetime": "2020-09-25T15:50:05.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "RedTachyon/OpenTraj", "max_issues_repo_path": "datasets/GC/Annotation/009459.txt", "max_line_length": 6, "max_stars_count": 232, "max_stars_repo_head_hexsha": "8277f526d714a4e77d0f9f354259ff5b74e59fd2", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "RedTachyon/OpenTraj", "max_stars_repo_path": "datasets/GC/Annotation/009459.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-26T08:39:44.000Z", "max_stars_repo_stars_event_min_datetime": "2020-08-26T10:16:10.000Z", "size": 862}
| 2022-12-01T00:00:00 |
text
| 8,176 |
"In Mexico City, Volunteers Rush To Clear Rubble After Earthquake"
Equifax Confirms Another 'Security Incident'
"After Trump's U.N. Speech, Some Senators Look To Reinforce War Powers"
"Once Teased For Her Love Of Bugs, 8-Year-Old Co-Authors Scientific Paper"
How Rick Santorum Got A Haircut And Revived The GOP's Obamacare Repeal Effort
Who Can Really 'Drain The Swamp'? Alabama GOP Primary Race Pits Trump Against Bannon
Quantity Of 'Skills' Doesn't Mean Quality In Amazon Echo's Alexa
Update On Hurricane Maria
Netflix Says No To 'The Upside Down' Bar
Republicans Try Again With Health Care Overhaul
More Than 220 Killed In Mexico Earthquake
Sen. Chris Coons On Protecting Robert Mueller's Investigation
Paralyzed Veterans Vs. Airlines
Iran Takes The Spotlight At The U.N.
Death Toll Rises After Mexican Earthquake
'I'm Really Scared Right Now': Bracing For Hurricane Maria
Cokie Roberts On The History Of The United Nations
"News Brief: Mexico Earthquake, Hurricane Maria, New GOP Health Care Effort"
Film Chronicles The Road To The 2 Hour Marathon: It's 'Just 25 Seconds Away'
Visiting Angela Merkel's Home District
Who Controls Think Tanks? Shift In Funding Highlights Changes In The Industry
Federal Reserve To 'Unwind' Holdings
Hopefully This Would Be Obvious: Don't Climb A Mountain In Your Underwear
Film Chronicles The Road To The 2-Hour Marathon: It's 'Just 25 Seconds Away'
Global Plan To Streamline 'Use By' Food Labels Aims To Cut Food Waste
The Department Of Education Cuts Off A Student Loan Watchdog
"Black, Jewish And Avoiding The Synagogue On The High Holy Days"
"In A Future Ruled By Big Pharma, A Robot Tentatively Explores Freedom - And Sex: 'Autonomous'"
More Than 200 Killed In Mexico Earthquake
Deciphering Trump's Foreign Policy
"Bemoaning Budget Cuts, Health Care Navigators Say Feds Don't Get It"
Hurricane Maria Makes Landfall In Puerto Rico
Sen. Lankford On Closing Havana Embassy
On The Ground In Puerto Rico
"Shocking Omissions: The Resilient Reinvention Of Cher's 'Gypsys, Tramps & Thieves'"
"^!Ajua! The Hollywood Bowl Goes Latin Alternative, Celebrates Dreamers"
The Frenetic Fury Of U.K. Punk Band Shame Slams Into 'Concrete'
Video Premiere: Watch The Barr Brothers' 'Queen Of The Breakers'
Cassini's Spectacular Legacy - And Nod To The Future
Song Premiere: Hear The Barr Brothers' 'Queen Of The Breakers'
Top Stories: Hurricane Maria Hits Puerto Rico; Senate GOP's Health Care Bill
Song Premiere: Hear The Barr Brothers' 'Queens Of The Breakers'
"With Its 'No Dancing' Law Verging On Repeal, New York Legitimizes Its Nightlife"
"Zine And Heard: In 'Moxie,' A Young Woman Fights Back"
Lessons From Katrina: How Restaurants Can Be Beacons In A Catastrophe
An Interview With Big Thief's Adrianne Lenker
"Watch Jamila Woods Perform 'HEAVN,' Shrouded In Blue Velvet"
Watch Lo Moon Play 'This Is It' In 360 Degrees
Lo Moon And The Art Of The Reveal
From Church Choirs To Performance Poetry: How Jamila Woods Found Her Voice
Hurricane Maria Batters Puerto Rico With 'White Sheets Of Rain'
"2016 Voter Turnout Dropped At HBCUs, Climbed At Women's Colleges, Study Finds"
Mexico Combs The Rubble For Survivors After Earthquake Kills At Least 225
An Offensive Hypothetical Slips Through Newsroom Oversight Process
"In Puerto Rico, Hurricane Maria Brings 'Widespread Damage And Widespread Flooding'"
"WATCH: Jimmy Kimmel Blasts GOP Health Bill, Says It Fails the 'Jimmy Kimmel Test'"
"First Word: Moses Sumney Walks Us Through His Sonic Dreamscape, 'Aromanticism'"
How 3 Rickshaws Won A Million Dollar Prize
Hurricane Maria Brings Life-Threatening Winds To Puerto Rico
Dave Eggers Picture Book 'Her Right Foot' Teaches Kids About Immigration
"Racing A Deadline, Republicans Try One Last Time To Repeal Affordable Care Act"
Residents And Neighbors Work To Clear Rubble After Mexico City Earthquake
Novel 'Forest Dark' And Dog Book 'Afterglow' Consider The Meaning Of Life
Jerry Seinfeld's New Netflix Special Puts His Comic Life Into Perspective
'Cuz' Examines The Tragic Life And Death Of A Young Black Man In LA
Editing Embryo DNA Yields Clues About Early Human Development
Iowa's Supreme Court Hears Dispute Over $75 Speeding Ticket
Tensions Mount Ahead Of Berkeley Free Speech Week
Why The Race To Oust ISIS From Deir Ez-Zor In Syria May Present New Dangers
"Amid Raging Wildfires, Montana Releases First Climate Change Report"
Sarah Ruhl Celebrates Her Mother With Play Featuring 70-Year-Old Peter Pan
Puerto Rico Feels The Full Force Of Maria
"Assessing The 'Trump Doctrine,' And GOP Health Care Bill Chances"
Mexico City Digs Out Of Rubble After Deadly Earthquake
Following Hurricane Maria's Impact On Puerto Rico
Trump Administration Looks To Expand Oil Development In Alaska
What Hurricanes And Other Weather Events Mean For The Housing Market
Fed's Unwinding Of Crisis Programs Expected To Push Up Interest Rates Very Gradually
Spanish Police Detain Catalan Politicians Ahead Of Independence Vote
These GOP Senators Could Block Republicans' Obamacare Repeal
Kishi Bashi With Strings On Mountain Stage
"Hope, Despair Descend On Quake-Shattered School In Mexico City"
NPR One: An Award-Winning Cross-Platform Experience
Hurricane Maria Hits Puerto Rico At Time When The Island Is Already Struggling
President Trump's U.N. Address Receives Widespread Praise From Conservatives
Iranian President Tells U.N. Trump Could Be At Blame If Nuclear Deal Falls Apart
Former President Obama Speaks Out On Efforts To Replace Affordable Care Act
Sen. Rand Paul Says He Won't Vote For Latest Affordable Care Act Replacement Bill
President Trump's Decision On Iran Nuclear Deal Could Affect Boeing Sales
Hurricane Maria Leaves Hospital In Puerto Rico Running On Generator Power
Search Continues For School Children After Mexico City Earthquake
"Former Boxing World Champion 'Raging Bull,' Jake LaMotta Dies At 95"
One Reporter Shares The 'Extraordinary Generosity' She Saw After Mexico City's Earthquake
An Anti-Violence Activist Shares Her Reason For Buying A Gun
Jimmy Kimmel Says Sen. Cassidy Fell Short Of Standard For Obamacare Repeal
Senate Republicans Up Against Sept. 30 Deadline For Last Effort To Replace Obamacare
"Geologically Speaking, Mexico City Is Not Built In A Very Good Place"
Puerto Rico And U.S. Virgin Islands Hit By Hurricane Maria
A Neglected Family Of Killer Viruses
'Stronger' Does The Hard Work To Earn Its Every Inspiring Moment
Mexico City Doomed By Its Geology To More Earthquakes
St. Louis On Edge As Protesters Expected To Gather Again
Episode 795: Is Record Breaking Broken?
Hurricane Season Takes Its Toll On Home Sales And Builder Optimism
Miami Fourth-Graders Write About Their Experiences With Hurricanes
NPR Head Of News Michael Oreskes Announces Updated Newsroom Leadership
'Turning The Tables': Women Of The '90s
"Obama Argues Against Dark Worldview, Defends Health Care Law"
Hurricane Maria Hits Areas Still Recovering From Hurricane Irma
Border Patrol Arrests Parents While Infant Awaits Serious Operation
|
c31764a17dce876fb76364d53a6b8cdb5c8f8923
|
2023-03-17T10:38:33.630843
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8125179443, "avg_line_length": 62.7567567568, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2019-06-10T18:01:48.000Z", "max_forks_repo_forks_event_min_datetime": "2019-01-07T05:34:32.000Z", "max_forks_repo_head_hexsha": "7afeb8f0bc1343791c0f4584ef8cf8becab078df", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "tacticsiege/TacticCorpora", "max_forks_repo_path": "headlines/raw/dated/2019-07-27/NPR/2017-09-20_NPR_corpus.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "7afeb8f0bc1343791c0f4584ef8cf8becab078df", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "tacticsiege/TacticCorpora", "max_issues_repo_path": "headlines/raw/dated/2019-07-27/NPR/2017-09-20_NPR_corpus.txt", "max_line_length": 95, "max_stars_count": null, "max_stars_repo_head_hexsha": "7afeb8f0bc1343791c0f4584ef8cf8becab078df", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "tacticsiege/TacticCorpora", "max_stars_repo_path": "headlines/raw/dated/2019-07-27/NPR/2017-09-20_NPR_corpus.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 6966}
| 2022-12-01T00:00:00 |
text
| 8,177 |
add_library(injection
src/InjectionInterface.cpp
)
# include directories
target_include_directories(injection PRIVATE
include/injection
)
|
d152b00f3cbf2fe2a3033e62856b845926304909
|
2023-03-17T10:38:28.907742
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7157894737, "avg_line_length": 21.1111111111, "ext": "txt", "max_forks_count": 4, "max_forks_repo_forks_event_max_datetime": "2022-03-04T11:53:30.000Z", "max_forks_repo_forks_event_min_datetime": "2020-08-10T12:41:10.000Z", "max_forks_repo_head_hexsha": "b4070b8964913c32087ca0511c5f07bfc5d2715f", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "christiangeller/SimDriver", "max_forks_repo_path": "lib/Injection/CMakeLists.txt", "max_issues_count": 8, "max_issues_repo_head_hexsha": "b4070b8964913c32087ca0511c5f07bfc5d2715f", "max_issues_repo_issues_event_max_datetime": "2020-10-27T10:22:46.000Z", "max_issues_repo_issues_event_min_datetime": "2020-06-05T11:10:41.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "christiangeller/SimDriver", "max_issues_repo_path": "lib/Injection/CMakeLists.txt", "max_line_length": 44, "max_stars_count": 7, "max_stars_repo_head_hexsha": "b4070b8964913c32087ca0511c5f07bfc5d2715f", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "christiangeller/SimDriver", "max_stars_repo_path": "lib/Injection/CMakeLists.txt", "max_stars_repo_stars_event_max_datetime": "2022-01-11T13:59:20.000Z", "max_stars_repo_stars_event_min_datetime": "2020-06-08T10:33:16.000Z", "size": 190}
| 2022-12-01T00:00:00 |
text
| 8,178 |
TIME0:26ONLINE2
TIME0:27ONLINE2
TIME0:28ONLINE2
TIME0:28ONLINE3
TIME0:29ONLINE2
TIME0:30ONLINE3
TIME0:30ONLINE3
1613147453689:172857222:挂着语音听不到音乐好难受
1613147456881:172857222:你去打群星吧
TIME0:31ONLINE3
TIME0:32ONLINE3
1613147553116:172857222:群星呢
TIME0:32ONLINE4
1613147569445:172857222:啥dlc
1613147583812:172857222:群星的dlc？
TIME0:33ONLINE4
TIME0:33ONLINE4
TIME0:34ONLINE4
TIME0:34ONLINE5
TIME0:35ONLINE5
TIME0:35ONLINE6
TIME0:36ONLINE6
TIME0:36ONLINE6
TIME0:37ONLINE6
TIME0:37ONLINE6
TIME0:38ONLINE6
TIME0:38ONLINE7
TIME0:39ONLINE7
TIME0:39ONLINE8
TIME0:40ONLINE8
TIME0:40ONLINE8
TIME0:41ONLINE8
TIME0:41ONLINE8
TIME0:42ONLINE8
TIME0:42ONLINE8
TIME0:43ONLINE8
TIME0:43ONLINE8
TIME0:44ONLINE8
TIME0:44ONLINE9
TIME0:45ONLINE9
TIME0:45ONLINE10
TIME0:46ONLINE10
TIME0:46ONLINE12
TIME0:47ONLINE12
TIME0:47ONLINE12
TIME0:48ONLINE12
TIME0:48ONLINE11
TIME0:49ONLINE11
TIME0:49ONLINE10
TIME0:50ONLINE10
TIME0:50ONLINE10
TIME0:51ONLINE10
1613148674245:172857222:在一直在啊
TIME0:51ONLINE10
TIME0:52ONLINE10
TIME0:52ONLINE9
TIME0:53ONLINE9
TIME0:53ONLINE9
TIME0:54ONLINE9
TIME0:55ONLINE9
TIME0:55ONLINE9
TIME0:56ONLINE9
TIME0:56ONLINE9
TIME0:57ONLINE9
TIME0:57ONLINE9
TIME0:58ONLINE9
TIME0:58ONLINE8
TIME0:59ONLINE8
TIME1:0ONLINE8
TIME1:0ONLINE8
TIME1:1ONLINE8
TIME1:1ONLINE9
TIME1:2ONLINE9
TIME1:3ONLINE9
TIME1:3ONLINE9
TIME1:4ONLINE9
TIME1:4ONLINE10
TIME1:5ONLINE10
TIME1:5ONLINE9
TIME1:6ONLINE9
TIME1:6ONLINE9
TIME1:7ONLINE9
TIME1:8ONLINE9
TIME1:8ONLINE8
TIME1:9ONLINE8
TIME1:9ONLINE7
TIME1:10ONLINE7
TIME1:11ONLINE7
TIME1:11ONLINE7
TIME1:12ONLINE7
TIME1:12ONLINE7
TIME1:13ONLINE7
TIME1:13ONLINE7
TIME1:14ONLINE7
TIME1:14ONLINE7
TIME1:15ONLINE7
TIME1:16ONLINE7
TIME1:16ONLINE7
TIME1:17ONLINE7
TIME1:17ONLINE8
TIME1:18ONLINE8
TIME1:18ONLINE8
TIME1:19ONLINE8
TIME1:19ONLINE8
TIME1:20ONLINE8
TIME1:20ONLINE8
TIME1:21ONLINE8
TIME1:21ONLINE8
TIME1:22ONLINE8
TIME1:23ONLINE8
TIME1:23ONLINE8
TIME1:24ONLINE8
TIME1:24ONLINE8
TIME1:25ONLINE8
TIME1:26ONLINE8
TIME1:27ONLINE8
TIME1:27ONLINE8
TIME1:28ONLINE8
TIME1:28ONLINE8
TIME1:29ONLINE8
TIME1:29ONLINE8
TIME1:30ONLINE8
TIME1:30ONLINE8
TIME1:31ONLINE8
TIME1:31ONLINE8
TIME1:32ONLINE8
TIME1:32ONLINE8
TIME1:33ONLINE8
TIME1:33ONLINE8
TIME1:34ONLINE8
TIME1:34ONLINE8
TIME1:35ONLINE8
TIME1:35ONLINE8
TIME1:36ONLINE8
TIME1:36ONLINE8
TIME1:37ONLINE8
TIME1:37ONLINE8
TIME1:38ONLINE8
TIME1:38ONLINE8
TIME1:39ONLINE8
TIME1:40ONLINE8
TIME1:40ONLINE8
TIME1:41ONLINE8
TIME1:41ONLINE8
TIME1:42ONLINE8
TIME1:42ONLINE8
TIME1:43ONLINE8
TIME1:43ONLINE8
TIME1:44ONLINE8
TIME1:44ONLINE8
TIME1:45ONLINE8
TIME1:45ONLINE8
TIME1:46ONLINE8
TIME1:46ONLINE8
TIME1:47ONLINE8
TIME1:47ONLINE8
TIME1:48ONLINE8
TIME1:48ONLINE8
TIME1:49ONLINE8
TIME1:49ONLINE8
TIME1:50ONLINE8
TIME1:50ONLINE8
TIME1:51ONLINE8
TIME1:52ONLINE8
TIME1:52ONLINE8
TIME1:53ONLINE8
TIME1:53ONLINE8
TIME1:54ONLINE8
TIME1:54ONLINE8
TIME1:55ONLINE8
TIME1:55ONLINE7
TIME1:55ONLINE7
TIME1:56ONLINE7
TIME1:56ONLINE7
TIME1:57ONLINE7
TIME1:57ONLINE7
TIME1:58ONLINE7
TIME1:58ONLINE7
TIME1:59ONLINE7
TIME1:59ONLINE7
TIME2:0ONLINE7
TIME2:1ONLINE7
TIME2:1ONLINE8
TIME2:1ONLINE8
TIME2:2ONLINE8
TIME2:3ONLINE8
TIME2:3ONLINE8
TIME2:4ONLINE8
TIME2:4ONLINE8
TIME2:5ONLINE8
TIME2:5ONLINE8
TIME2:6ONLINE8
TIME2:6ONLINE8
TIME2:7ONLINE8
TIME2:8ONLINE8
TIME2:8ONLINE8
TIME2:9ONLINE8
TIME2:9ONLINE8
TIME2:10ONLINE8
TIME2:10ONLINE8
TIME2:11ONLINE8
TIME2:11ONLINE8
TIME2:12ONLINE8
TIME2:12ONLINE8
TIME2:13ONLINE8
TIME2:13ONLINE8
TIME2:14ONLINE8
TIME2:14ONLINE8
TIME2:15ONLINE8
TIME2:16ONLINE8
TIME2:16ONLINE8
TIME2:17ONLINE8
TIME2:17ONLINE8
TIME2:18ONLINE8
TIME2:18ONLINE8
TIME2:19ONLINE8
TIME2:19ONLINE8
TIME2:20ONLINE8
TIME2:21ONLINE8
TIME2:21ONLINE8
TIME2:22ONLINE8
TIME2:22ONLINE8
TIME2:23ONLINE8
TIME2:24ONLINE8
TIME2:24ONLINE8
TIME2:25ONLINE8
TIME2:25ONLINE8
TIME2:26ONLINE8
TIME2:26ONLINE7
TIME2:27ONLINE7
TIME2:27ONLINE7
TIME2:28ONLINE7
TIME2:28ONLINE7
TIME2:29ONLINE7
TIME2:29ONLINE7
TIME2:30ONLINE7
TIME2:30ONLINE7
TIME2:31ONLINE7
TIME2:31ONLINE7
TIME2:32ONLINE7
TIME2:32ONLINE7
TIME2:33ONLINE7
TIME2:33ONLINE7
TIME2:34ONLINE7
TIME2:34ONLINE7
TIME2:35ONLINE7
TIME2:36ONLINE7
TIME2:36ONLINE7
TIME2:37ONLINE7
TIME2:38ONLINE7
TIME2:38ONLINE7
TIME2:39ONLINE7
TIME2:39ONLINE7
TIME2:40ONLINE7
TIME2:41ONLINE7
TIME2:42ONLINE7
TIME2:42ONLINE7
TIME2:43ONLINE7
TIME2:43ONLINE7
TIME2:44ONLINE7
TIME2:44ONLINE7
TIME2:45ONLINE7
TIME2:45ONLINE7
TIME2:46ONLINE7
TIME2:46ONLINE7
TIME2:47ONLINE7
TIME2:47ONLINE7
TIME2:48ONLINE7
TIME2:48ONLINE7
TIME2:49ONLINE7
TIME2:49ONLINE7
TIME2:50ONLINE7
TIME2:50ONLINE7
TIME2:51ONLINE7
TIME2:51ONLINE7
TIME2:52ONLINE7
TIME2:52ONLINE7
TIME2:53ONLINE7
TIME2:53ONLINE7
TIME2:54ONLINE7
TIME2:54ONLINE7
TIME2:55ONLINE7
TIME2:55ONLINE7
TIME2:56ONLINE7
TIME2:56ONLINE7
TIME2:57ONLINE7
TIME2:57ONLINE7
TIME2:58ONLINE7
TIME2:59ONLINE7
TIME2:59ONLINE7
TIME3:0ONLINE7
TIME3:0ONLINE7
TIME3:1ONLINE7
TIME3:1ONLINE7
TIME3:2ONLINE7
TIME3:2ONLINE7
TIME3:3ONLINE7
TIME3:3ONLINE7
TIME3:4ONLINE7
TIME3:4ONLINE7
TIME3:5ONLINE7
TIME3:5ONLINE7
TIME3:6ONLINE7
TIME3:6ONLINE7
TIME3:7ONLINE7
TIME3:8ONLINE7
TIME3:8ONLINE7
TIME3:9ONLINE7
TIME3:9ONLINE7
TIME3:10ONLINE7
TIME3:10ONLINE7
TIME3:11ONLINE7
TIME3:11ONLINE7
TIME3:12ONLINE7
TIME3:12ONLINE7
TIME3:13ONLINE6
TIME3:13ONLINE6
TIME3:14ONLINE6
TIME3:14ONLINE6
TIME3:15ONLINE6
TIME3:15ONLINE6
TIME3:16ONLINE6
TIME3:16ONLINE6
TIME3:17ONLINE6
TIME3:17ONLINE6
TIME3:18ONLINE6
TIME3:18ONLINE6
TIME3:19ONLINE6
TIME3:19ONLINE6
TIME3:20ONLINE6
TIME3:20ONLINE6
TIME3:21ONLINE6
TIME3:22ONLINE6
TIME3:22ONLINE6
TIME3:23ONLINE6
TIME3:23ONLINE6
TIME3:24ONLINE6
TIME3:24ONLINE6
TIME3:25ONLINE6
TIME3:25ONLINE6
TIME3:26ONLINE6
TIME3:26ONLINE6
TIME3:27ONLINE6
TIME3:27ONLINE6
TIME3:28ONLINE7
TIME3:28ONLINE7
TIME3:29ONLINE7
TIME3:29ONLINE7
TIME3:30ONLINE7
TIME3:30ONLINE7
TIME3:31ONLINE7
TIME3:31ONLINE7
TIME3:32ONLINE7
TIME3:32ONLINE7
TIME3:33ONLINE7
TIME3:33ONLINE7
TIME3:34ONLINE7
TIME3:35ONLINE7
TIME3:35ONLINE7
TIME3:36ONLINE7
TIME3:36ONLINE7
TIME3:37ONLINE7
TIME3:37ONLINE7
TIME3:38ONLINE7
TIME3:38ONLINE7
TIME3:39ONLINE7
TIME3:39ONLINE7
TIME3:40ONLINE7
TIME3:40ONLINE7
TIME3:41ONLINE7
TIME3:41ONLINE7
TIME3:42ONLINE7
TIME3:42ONLINE7
TIME3:43ONLINE7
TIME3:43ONLINE7
TIME3:44ONLINE7
TIME3:44ONLINE7
TIME3:45ONLINE7
TIME3:45ONLINE7
TIME3:46ONLINE7
TIME3:46ONLINE7
TIME3:47ONLINE7
TIME3:47ONLINE7
TIME3:48ONLINE7
TIME3:48ONLINE7
SPEAKERNUM1;172857222:小七恰柠檬_:6
V2
|
fa2f9d3ccde3a2f6b83ae7b8f757d5337d0d0fec
|
2023-03-17T10:14:53.824526
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8747998719, "avg_line_length": 16.0979381443, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "21385103/2021-2-13.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "21385103/2021-2-13.txt", "max_line_length": 36, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "21385103/2021-2-13.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 6246}
| 2022-12-01T00:00:00 |
text
| 8,179 |
Security Level — In Confidence
15. MPI will also need to consider the impacts on complimentary sectors such as
processing of seafood for other markets. Officials are aware that New Zealand
exporters often have a number of arrangements with processors in China where
product is then re-exported into Europe. It is uncertain what the implications of the
Coronavirus will be on these relationships.
Rock lobster
16. China is the leading export market for live rock lobster, accounting for 99% of all
exports. The outbreak has significantly impacted demand for rock lobster. poe
i)
This has come at an unfortunate
time for exporters with a large volume of rock lobsters being held in New Zealand
holding facilities to meet export demand for Chinese New Year celebrations (25
Jan — 8 Feb).
17. Fisheries New Zealand is working with industry to actively consider options that
might provide relief to fishers and exporters at this time. MPI proposes to consult
and advise on an urgent amendment to regulations to allow carry forward of up to
10% of uncaught annual catch entitlement (ACE). This amendment will need to be
made before the start of the new fishing year on 1 April. MPI will provide a
separate briefing on this (B20-0067 refers).
18. Demand in other markets is currently limited. The collapse of the Chinese market
has impacted most rock lobster exporting countries leading to increased supply
into alternative markets. The domestic market in New Zealand is also small (about
100 tonnes annually), although this may be driven by domestic prices reflecting
export prices less the cost of transport.
19. Industry also estimate that 420 tonnes of rock lobster will be uncaught for the
current fishing year. This could result in a loss of annual revenue to the catching
sector alone of approximately $36 million (based on average port price information
of $86.00), 15% of the total potential revenue of $236 million.
MPI’s response and engagement with primary sector exporters
20. The New Zealand Government has limited ability to manage many of the risks and
disruptions as a result of Coronavirus — including port and transport delays and
changes in market conditions. MPI is however working to ensure exporters are
updated on the situation so they can implement their own contingency plans
(AM20-0062 refers).
21. To better understand and manage risk, MPI/MFAT/NZTE (including its Beijing
based representatives) are seeking information from New Zealand businesses and
officials based in China around the impacts of Coronavirus on their operations,
supply chains, and the regulatory settings.
Page 4 of 5
|
9d5534b32c33044e9e764be73799da2788d487b8
|
2023-03-17T09:56:53.764681
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8107592522, "avg_line_length": 49.4528301887, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "1111b41d9ce4a29fce1f7793efc68b2b71f0f3ad", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "nzherald/pandemicpapers", "max_forks_repo_path": "documents/extracts/Impact-of-Coronavirus-on-the-Seafood-Industry/page-004-003.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "1111b41d9ce4a29fce1f7793efc68b2b71f0f3ad", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "nzherald/pandemicpapers", "max_issues_repo_path": "documents/extracts/Impact-of-Coronavirus-on-the-Seafood-Industry/page-004-003.txt", "max_line_length": 87, "max_stars_count": 2, "max_stars_repo_head_hexsha": "1111b41d9ce4a29fce1f7793efc68b2b71f0f3ad", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "nzherald/nzhCovid19Docs", "max_stars_repo_path": "documents/extracts/Impact-of-Coronavirus-on-the-Seafood-Industry/page-004-003.txt", "max_stars_repo_stars_event_max_datetime": "2020-05-28T08:56:13.000Z", "max_stars_repo_stars_event_min_datetime": "2020-05-28T05:33:23.000Z", "size": 2621}
| 2022-12-01T00:00:00 |
text
| 8,180 |
/**
* File source: https://bit.ly/3BUZKtR
*
* Feel free to let us know via PR, if you find something broken in this contract
* file.
*/
import { assert } from '@japa/assert'
import type { Suite } from '@japa/core'
import { specReporter } from '@japa/spec-reporter'
import TestUtils from '@ioc:Adonis/Core/TestUtils'
import type { PluginFn, RunnerHooksHandler, TestContext, ReporterContract } from '@japa/runner'
/*
|--------------------------------------------------------------------------
| Japa Plugins
|--------------------------------------------------------------------------
|
| Japa plugins allows you to add additional features to Japa. By default
| we register the assertion plugin.
|
| Feel free to remove existing plugins or add more.
|
*/
export const plugins: PluginFn[] = [assert()]
/*
|--------------------------------------------------------------------------
| Japa Reporters
|--------------------------------------------------------------------------
|
| Japa reporters displays/saves the progress of tests as they are executed.
| By default, we register the spec reporter to show a detailed report
| of tests on the terminal.
|
*/
export const reporters: ReporterContract[] = [specReporter()]
/*
|--------------------------------------------------------------------------
| Runner hooks
|--------------------------------------------------------------------------
|
| Runner hooks are executed after booting the AdonisJS app and
| before the test files are imported.
|
| You can perform actions like starting the HTTP server or running migrations
| within the runner hooks
|
*/
export const runnerHooks: { setup: RunnerHooksHandler[]; teardown: RunnerHooksHandler[] } = {
setup: [() => TestUtils.ace().loadCommands()],
teardown: [],
}
/*
|--------------------------------------------------------------------------
| Configure individual suites
|--------------------------------------------------------------------------
|
| The configureSuite method gets called for every test suite registered
| within ".adonisrc.json" file.
|
| You can use this method to configure suites. For example: Only start
| the HTTP server when it is a feature suite.
*/
export const configureSuite = (suite: Suite<TestContext>) => {
if (suite.name === 'feature') {
suite.setup(() => TestUtils.httpServer().start())
}
}
|
36754dd57e80e6b4656497fae73ac99adcd12c06
|
2023-03-17T10:38:33.630843
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.5325064157, "avg_line_length": 32.4722222222, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "a709e691746d305dc4f5b64fdbad3ecd713cd800", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "JuliensForks/core", "max_forks_repo_path": "templates/tests/bootstrap.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "a709e691746d305dc4f5b64fdbad3ecd713cd800", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "JuliensForks/core", "max_issues_repo_path": "templates/tests/bootstrap.txt", "max_line_length": 95, "max_stars_count": null, "max_stars_repo_head_hexsha": "a709e691746d305dc4f5b64fdbad3ecd713cd800", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "JuliensForks/core", "max_stars_repo_path": "templates/tests/bootstrap.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 2338}
| 2022-12-01T00:00:00 |
text
| 8,181 |
1611590607595:24288594:(=・ω・=)
1611590939592:5391099:(=・ω・=)
1611592053962:13234027:(｀・ω・´)
1611593777049:24177501:啊这，怎么注销了？
1611620744681:33937673:今日水水子
1611623848480:5149140:
1611627900953:5413350:水宝我的水宝
1611631945709:437357:(｀・ω・´)
1611632336378:85413944:水宝
1611658333165:5149140:
1611665760063:5149140:
1611665803174:5149140:
1611669651233:2775231:(=・ω・=)
1611672116907:7227840:谁？
1611672130231:7227840:谁？
SPEAKERNUM11;437357:Dracula:1,2775231:neu-berlin:1,5149140:Oue:4,5391099:猫耳缘子团子:1,5413350:shiroiLemon:1,7227840:久浅亿深:2,13234027:逆光灬流火:1,24177501:未斩断的过去:1,24288594:陌丶森:1,33937673:妮姬Nico:1,85413944:dinkerabc:1
V2
|
fefe158e7e3d524ca5e3d3e9c683277cc9da9f60
|
2023-03-17T10:44:32.475268
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8096, "avg_line_length": 34.7222222222, "ext": "txt", "max_forks_count": 35, "max_forks_repo_forks_event_max_datetime": "2022-03-13T01:50:03.000Z", "max_forks_repo_forks_event_min_datetime": "2019-09-13T12:32:51.000Z", "max_forks_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_forks_repo_path": "3172907/2021-1-26.txt", "max_issues_count": 20, "max_issues_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_issues_repo_issues_event_max_datetime": "2022-02-05T01:43:47.000Z", "max_issues_repo_issues_event_min_datetime": "2020-05-02T15:49:30.000Z", "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_issues_repo_path": "3172907/2021-1-26.txt", "max_line_length": 207, "max_stars_count": 160, "max_stars_repo_head_hexsha": "5fd5c685e420cc0abd00cefff33491d35fec0046", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "dd-center/bilibili-vtuber-danmaku", "max_stars_repo_path": "3172907/2021-1-26.txt", "max_stars_repo_stars_event_max_datetime": "2022-03-30T07:44:45.000Z", "max_stars_repo_stars_event_min_datetime": "2019-09-13T12:32:50.000Z", "size": 625}
| 2022-12-01T00:00:00 |
text
| 8,182 |
-5575486958020837236
|
6f15f165f8245a57d18c7dcb366a62eab69c7b28
|
2023-03-17T10:21:23.383228
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.9047619048, "avg_line_length": 10.5, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2020-07-26T14:29:48.000Z", "max_forks_repo_forks_event_min_datetime": "2020-07-26T14:29:48.000Z", "max_forks_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "SCECcode/CSEPcode", "max_forks_repo_path": "results/2009-11-28/scec.csep.RELMTest.R-Test_STEP_11_28_2009-fromXML_ETAS_11_28_2009-fromXML-randomSeed.1262086783.316976.1/R-Test_STEP_11_28_2009-fromXML_ETAS_11_28_2009-fromXML-simulation977_1-randomSeed.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "SCECcode/CSEPcode", "max_issues_repo_path": "results/2009-11-28/scec.csep.RELMTest.R-Test_STEP_11_28_2009-fromXML_ETAS_11_28_2009-fromXML-randomSeed.1262086783.316976.1/R-Test_STEP_11_28_2009-fromXML_ETAS_11_28_2009-fromXML-simulation977_1-randomSeed.txt", "max_line_length": 20, "max_stars_count": null, "max_stars_repo_head_hexsha": "fcd9432b48bdabc6daa20e0746ffd19a9537511c", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "SCECcode/CSEPcode", "max_stars_repo_path": "results/2009-11-28/scec.csep.RELMTest.R-Test_STEP_11_28_2009-fromXML_ETAS_11_28_2009-fromXML-randomSeed.1262086783.316976.1/R-Test_STEP_11_28_2009-fromXML_ETAS_11_28_2009-fromXML-simulation977_1-randomSeed.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 21}
| 2022-12-01T00:00:00 |
text
| 8,183 |
UC Merced
Proceedings of the Annual Meeting of the Cognitive Science
Society
Title
Memory Representations of Source Information
Permalink
https://escholarship.org/uc/item/7nv8t6kc
Journal
Proceedings of the Annual Meeting of the Cognitive Science Society, 23(23)
Authors
Farivar, Reza
Silverbag, Noah
Kadlec, Helena
Publication Date
2001-01-01
Peer reviewed
eScholarship.org
Powered by the California Digital Library
University of California
Memory Representations of Source Information
Reza Farivar |||EMAIL_ADDRESS||| Department of Psychology, McGill University
Montreal, QC, H3A 1B1, Canada
Noah Silverberg |||EMAIL_ADDRESS||| Department of Psychology, University of Victoria
Victoria, BC, V8P 5C2, Canada
Helena Kadlec |||EMAIL_ADDRESS||| Department of Psychology, University of Victoria
Victoria, BC, V8P 5C2, Canada
Abstract
Various characteristics can be encoded to define the source of
particular information. How these characteristics interact to
describe and define a source has so far been ignored. Our work
focuses on the representation of source information in memory
using the General Recognition Theory. The results are discussed
in relation to current modelling efforts.
Introduction
How is a source defined? How do we represent context
information about an event? How do we use this
information in source monitoring? Source monitoring
refers to the proper attribution of an item to its source
(Lindsay and Johnson, 1991; Johnson, Hashtroudi, and
Lindsay, 1993). Sources may be defined by a variety of
characteristics, including but not limited to size, font,
location, cognitive processes at encoding, affect, and so
on. For written material, font, location, size, and possibly
the syntax and structure used in a part of text may identify
a part of text as a source. Memory for source is
vulnerable, and source misattributions (SM) are common.
Such errors may arise due to (1) failure of cognitive
processes underlying the judgment, (2) adoption of a lax
criterion which does not involve deliberate and conscious
consideration of each judgment, and (3) similarity of the
sources to such an extent that they are indistinguishable
from one another. In other words, source monitoring
involves normal memory processes and decisional
processes, and a separation of the two can yield a better
understanding of how sources are actually defined and
how decisional processes can fail and cause SM errors.
Recently, a number of multinomial models of source
monitoring have been proposed (Bayen, Murnane, and
Erdfelder, 1996; Batchelder and Reifer, 1990; see
Batchelder and Reifer, 1999 for a review). These
statistical models assume a processing tree with a single
root. Each branch of the tree represents one possible path
in the stage of the process, and each fork in the branch
represents a possible division of probabilities for a specific
outcome. The branches end in response categories, from
which all the fork parameters are estimated. This type of
modelling allows an analysis of every possible contribution to
each factor and thus enables one to model a cognitive process
into discrete stages, collect categorical data, and then estimate
the contributions made at each stage.
The advantages of such a model are easily visible.
Interpretations are made effortless by the simple tree
structure. Assumptions of independence between various
fork parameters allow one to divide and separate various
components of a process and to demonstrate independence
between these components. However, such representation of
source information is not modelled by this technique, and as
such, these modelling efforts are limited in capturing the
global features of source monitoring.
There are at least two major limitations to multinomial
modelling. The first involves the degrees of freedom in the
estimation procedure. Given that there are often more
parameters than categories, some parameters must be
assumed equal. This may sometimes be beneficial, since a
model is reduced to its minimal, simplest components.
Unfortunately, even with this parameter reduction, one may
still have more parameters than categories, and the estimation
procedure will thus result in a number of possible models
rather than a single possible solution. From this pool of
resulting models, using goodness of fit tests, one must
determine which model actually represents the expected
design or the data.
A consequence of this is that as findings in the field
increase, such a model is more difficult to grow because of
the increase in the free parameters. A multinomial model will
therefore be limited to more general processes and will not be
able to model details of a process, such as how source
information is represented in memory.
A lack of
understanding about the details of a process can, in turn,
result in a misunderstanding of the process as a whole as well
as the relation of that process in the grand scheme of
cognition.
The second limitation, already hinted at, is the
requirement of assuming statistical independence between
various fork parameters. What this means is that a process
stage, modelled on a fork further down a tree, is thought to
be independent of a process stage modelled further up the
tree; no two processes can have dependence in such a
model. As we will see below, this assumption presents a
crucial limitation of multinomial models in capturing the
representation of source information in memory.
looks at the dependence of the perception of eyebrow
curvature on the perception of lip curvature. First, we would
need a feature-complete factorial design, and we would create
this by manipulating each of the two dimensions on two
levels.
We would thus manipulate each of the two
dimensions on two levels. Thus the eyebrows will be varied
on two levels (low and high curvature) and the same
manipulation would be used for lip curvature. Table 1
demonstrates this matrix for all variations of stimulus A.
Table 1: Example of a feature-complete factorial design.
How to test statistical independence
In a multidimensional setting of a source characteristics
where various factors influence source memory and source
judgments, how is one to assess independence while
accounting for the influence of all memory and decision
factors? Historically, for unidimensional stimuli, signal
detection theory (SDT; Banks, 1970; see Swets, 1996) has
been the method of choice for separating decisional and
perceptual factors in perception and recognition.
However, SDT does not allow for a test of independence
and is also limited to the analysis of only unidimensional
stimuli. Ideally, we would want a statistical technique
similar to SDT that could also account for interactions of
various dimensions on a recognition task while providing a
test of independence and separation of decisional and
perceptual factors. General Recognition Theory (GRT;
Ashby and Townsend, 1986; Ashby, 1988), and the
analytical method permitted by it (Multidimensional
Signal Detection Analysis, or MSDA, Kadlec &
Townsend, 1992a; Kadlec & Townsend, 1992b), meet our
requirements.
GRT and MSDA
The GRT was developed by Ashby and Townsend (1986)
in response to various issues that had been raised in
perception research. These issues concerned the notion of
independence and separability of the perception of
stimulus dimensions as well as decisional factors. The
GRT is a formal method of assessing independence and
separability in terms of both stimulus dimensions and
decisional processes. MSDA was then developed by
Kadlec and Townsend (1992a) in order to facilitate the
implementation of GRT in perception studies. This
analytic method maps the traditional SDT parameters of
sensitivity (d’) and response bias onto a multidimensional
scheme and permits us to analyse both interaction and
independence between various stimulus dimensions.
Multidimensional signal detection analysis MSDA was
originally developed to analyse the effects of
manipulation on the perception of a stimulus, when the
manipulations are varied on a number of dimensions
(Kadlec, 1995). An example study would be one that
Lip Curve
Low (i)
High (j)
Eyebrow Curve
Low (a)
High (b)
Aai
Abi
Aaj
Abj
The participant will see stimuli, which vary on two levels
of two dimensions. It should be noted that the stimuli at each
level vary only slightly from the stimuli at the other level.
This is mainly due to the fact that the final analysis will be
based on the amount of errors committed during the task, and
simplifying the task and making the difference between the
stimuli obvious may result in a near absence of errors.
In a typical experiment utilizing this design, participants
are given a practice session in which they view the set of
stimuli, one at a time, varied on the given dimensions, and
make judgments about their location at the different levels of
the dimensions. In other words, a participant who views
stimulus Abj must try to categorize this stimulus on both
dimensions. The correct response for this stimulus is high
eyebrow curvature and high lip curvature. There are three
types of errors that could be made in the categorization of
each stimulus. These errors can be tabulated, resulting in
proportions of each type of error, which then represents the
volume under the distribution in one of 4 possible response
regions. These response regions can be represented by
normal distributions in multiple dimensions.
How could we, from these data and types of distributions,
answer questions regarding independence of dimensions and
decisional boundaries? In order to answer such questions, a
slightly different view of the graphs must be utilized.
Consider a plane passing horizontally through all the normal
distributions in this multidimensional space at a given density
level. Examining such a plane from above would yield a
topography of the distributions, as can be seen in Figure 1.
The shape of these distributions corresponds to three types
of independence (Ashby & Townsend, 1986). The first type
is perceptual independence (PI), which is a statistical form of
independence. PI is stated when for a stimulus Abj:
fbj(x,y) = gbj(x)*gbj(y)
In this equation g(x) refers to marginal densities, which are
obtained by integrating (measuring the area under the
curve) the two-dimensional density distribution across one
dimension. Marginal densities can be thought of as the
picture of a density distribution as would be taken from
having a camera parallel to a dimensional axis.
High
Lip Curve
Low
1
2
3
4
Low
High
Eyebrow Curve
Figure 1: Topography of the
distributions
PI is a strictly statistical form of independence and can
be likened to coin toss probabilities, where the probability
of obtaining two heads (assuming a fair coin; p(1H) = 0.5)
is equal to the product of the probability of obtaining one
head by the same probability:
p(2H) = p(1H) * p(1H) = 0.25
Thus PI asserts that the perception of one dimension
within a stimulus is not dependent on the perception of the
other dimension. From the topographical diagram, PI is
represented by circular distributions and distributions
which are elliptical but parallel to the axis of one
dimension. From the diagram it may be observed that
within stimuli 1, 3 and 4 the two dimensions are
perceptually independent and the two-dimensional density
distributions are equal to the product of the marginal
densities of the stimulus on the individual dimensions.
Another form of independence, called perceptual
separability (PS), is taken to exist when within one level of
one dimension, the levels of the other dimension do not
affect perception. In this case,
gi1(x) = gi2(x) and gj1(x) = gj2(x)
where 1 and 2 refer to stimuli 1 and 2, i and j represent the
two levels of eyebrow curvature, and g(x) refers to their
marginal density distributions. If the two marginal
distributions at the levels of one dimension (say high
eyebrow curvature) are equal, then levels of the other
dimension (lip curvature) do not influence the perception
of the eyebrow curvature.
A third form of independence is decisional separability
(DS). Recall that within the single dimension signal
detection framework, a decisional boundary was set
between the two distributions.
Here too, within the
multidimensional framework, some decisional boundary must
be set. This decisional boundary is set by the participant and
defines the area within which a stimulus will be identified by
its specific characteristics. In our example, a decisional
boundary must be set in order to differentiate between faces
that vary differentially on eyebrow curvature and lip
curvature. In other words, the decisional boundaries divide
the multidimensional space into regions that define specific
stimuli. Within this context, DS is observed when the
decision about one dimension is not influenced by the
decision made on the other dimensions. In our topography,
DS holds when the decisional boundaries are parallel to the
dimensional axis.
Methodology
From the above description of MSDA and its required
experimental paradigm, it is more apparent how we would go
about testing the independence of various source
characteristics in a final source judgment. What we need is to
create a feature-complete factorial design of at least two
stimulus characteristics that can define a source, and then
conduct our analysis on these dimensions.
Our study uses the characteristics of written text to assess
this independence. The dimensions of written text tested are
limited to size (large vs. small) and location (top vs. bottom).
Within a multinomial framework, these two dimensions
would have to be assumed independent of one another. In
other words, independent of decisional biases, memory for an
item being on top should have no effect on the memory of it
being large. Such a model would represent a very basic and
simple framework in which all sources are believed to be
equal; if source characteristics do not interact and are
independent, then any combination of the characteristics is
remembered equally well.
Below we will present data to show that in this case, the
assumption of independence is invalid, thus lying outside the
structure of a multinomial model of source memory. Because
the question of how various characteristics interact to define a
source is central to the concept of source memory, we
propose that multinomial models are limited in that they
cannot capture this fundamental aspect of source memory.
Experiment 1
Participants
Eighteen undergraduate students enrolled in an introductory
psychology course at the University of Victoria participated
in the study for bonus marks. Responses from 3 participants
were excluded because of incompleteness due to shortness of
time.
Responses from an additional participant were
excluded due to apparatus failure. Overall, data from 14
participants were analysed. All data were kept confidential
and no one was penalized for non-participation.
Material
A word-list was composed using 256 five-letter words
randomly selected from the Francis-Kucera Frequency
Norms. Of the 256 words, 160 were used at study and the
remaining words were used as controls (novel words).
Study items were factorially manipulated on size (large or
small), font (Times or San Sarif), and location (top or
bottom). An IBM-compatible computer with an Intel 486
processor was used for the experiment. All presentations
were made on a 17" computer monitor and responses made
on the computer keyboard.
Procedure
Bottom
Responses were collapsed across all subjects.
To
minimize variability due to practice (at the beginning of
the session) as well as variability due to fatigue (at the end
of the session), only responses from trials 2 and 3 were
analysed; responses from these two trials were then
combined, after no significant difference between them
was observed on a chi-squared test. Due to space
limitations, the results on remembering and knowing will
Top
Results
Location
Participants were informed that they would view a list of
words on the computer screen, varying in location, size,
and font. They were instructed to try and remember all
aspects of the words, as their memory for the words as
well as these attributes would later be assessed. Following
the instructions, the study list of 40 words was presented,
each for 3 seconds, with 1second inter-stimulus-interval.
Immediately following the study phase, the test phase
was conducted. Participants viewed the previously studied
words in addition to 16 new words not previously seen.
The words appeared in a small, neutral font (courier) at the
centre of the screen. The first task was to make a
remember/know/new judgement.
Following the instructions on remember/know/new
judgements, participants were instructed on the
identification task. Questions assessing the recognition for
various
item
characteristics
followed
the
remember/know/new judgements. The three questions
asking for the recognition of levels of the three dimensions
were randomised in presentation, so that for one item, font
was asked first, followed by location and size, but for
another, size was asked first followed by location and font,
etc.; the sequence was randomised.
For both the remember/know/new judgements and the
item judgements, participants made their response by
selecting the first letter of the response on a computer
keyboard (‘ r’ for ‘remember’, ‘t’ for times font when
making font decision and top when making location
decisions, and so on). The task was not timed, and
participants were encouraged to consider each judgement
carefully. Following the first study and test phase, three
more study and test phases continued with the same
instructions.
not be discussed here, but we will only comment that near
identical interactions were observed for remembered and
known items; for the analysis, results associated with
“remember” and “know” judgments (i.e. studied items
judged as “old”) were combined.
The results are reported following Kadlec (1995). All tests
of DS, PS, and PI are Z-tests with at least p < 0.1, unless
otherwise noted. DS and PS held for all dimensions, whereas
PI failed for all items.
To simplify the interpretation, the results were collapsed on
to two dimensions, size and location.
The resulting
distribution topographies are represented in figure 2.
Small
Large
Size
Figure 2: Schematic representation of results from
experiment 1
The straight vertical and horizontal lines separating the
distributions represent the decisional boundaries; they are
parallel to the dimensional axese, because DS held for both
dimensions.
Furthermore, the distances between the
distributions do not differ between the levels of each
dimension, thus PS is also valid. However, PI has been
violated in all instances, and in a consistent pattern: there is a
strong positive tendency to remember large items as being on
top and small items on the bottom, while there is a strong
negative tendency to remember small items on top and large
items on the bottom. Clearly, source definitions formed from
these characteristics will result in a memory bias independent
of decisional processes such as response biases. In other
words, recolllected large words have a “topness” associated
with them, and are dissociated from a “bottomness”, while
the opposite is true for small words.
In order to further validate our results, we conducted a
similar study, but we eliminated the presentation of a font
dimension all together, as well as the remember/know
judgments.
Experiment 2
Participants
Twenty-one undergraduate students enrolled in an
introductory psychology course at the University of Victoria
participated in the study for bonus marks.
Materials
One hundred sixty words with a frequency rating of 1 were
obtained from the Francis-Kucera Word Pool and
randomly divided into four lists of forty words. List
presentation was fully counterbalanced. All the words
were presented in random order in a study phase and were
factorially manipulated on size (large and small) and
location (top or bottom).
Procedure
Participants were informed that they would view a list of
words on a computer screen, and that these words would
vary on two dimensions, location on screen and font size.
They were then instructed to do their best to ‘remember’
the words and how they were presented, as they would
later be tested on these attributes. Firstly, in phase 1, a list
of 40 words was presented for approximately 2 seconds
each with an inter-stimuli interval of 1 second. Following
this was a test phase in which subjects were asked 3
questions about 80 words (40 studied and 40 novel words):
“Is this word old (o) or new (n)?”, “Did it appear on the
top (t) or bottom (b)?”, and “Was it presented in a large (l)
or small (s) size font?”. The order of the questions was
randomised. Subjects responded using a keyboard with
the abbreviated letters corresponding to the responses to
which they stand for (e.g. (o)=old). This task was not
timed. Phase 2 followed and was a mere repetition of
phase 1 but with different word lists. The whole session
lasted 40 to 50 minutes.
Results
All tests of DS, PS, and PI are two-tailed Z-tests with at
least p<0.05, unless otherwise noted. Analysis of the
compiled old-correct matrix (where subjects responded
“old” and were correct in doing so, whether in phase 1 or
phase 2, or whether the new/old question preceded or
followed the attribution questions) revealed an interaction
of source characteristics, identical to that of experiment 1,
represented in figure 2. Whereas DS and PS held for the
two dimensions, PI failed in every case, such that there
was both a positive dependency between “bottomness” and
“smallness” and a positive dependency between “topness”
and “largeness”. Alternatively, it is also true that as words
appear closer to the top of the screen, they are more likely
to be remembered as having appeared in a larger size font.
In analysis of unremembered items (where the item was
presented, but judged as “new”), a bias was observed for
words presented on top of the screen and in large size.
This suggests that people have poor memory for such
items; this and other result will be discussed below.
Discussion
How are source characteristics defined then? Using
MSDA, we were able to separate decisional factors from
memory factors. Our results are thus not based on a any
decisional biases of the participant. In other words, it is not
the case that participants recall an aspect of an item (e.g.
having been presented in large size) and then infer from this
information that the word must have been presented on top.
If it were the case that participants recalled information on
one dimension and inferred information on the other
dimension, different criterion measures (C’s) would have
been observed at each level of any one dimension. However,
measures of C were identical at every level of all dimensions,
suggesting that decisional factors did not play a role at
generating the observed patterns.
Perceptual separability also held for both dimensions,
which suggest that memory for large items is no better than
memory for smaller items, and that memory for items on top
is no better than memory for items on the bottom. If this
were not the case, d’ measures for items presented on top or
bottom would have differed when varied across the two sizes,
and/or d’ measures for items presented in large or small size
fonts would have differed across the two different locations.
As both DS and PS held for both dimensions, we can infer
that (1) decisional factors did not play a role in producing the
observed pattern of results, and (2) that global features of the
stimuli did not play such a role either. It can therefore be
concluded that the interaction of the various source
characteristics is a pure memory process.
This has implications for how source information is stored
in memory. Our results suggest an information-compression
taking place during encoding and/or storage of the source
characteristics. In effect, error for the overall storage of such
source information (size and location) is minimized by
reducing error on the most frequently occurring instances of
such a source. Source definitions composed of large items
presented on the top of the screen are particularly common in
all printed media such as newspapers, magazines, web pages,
etc. Meanwhile, it occurs rarely that small print appears on
the top part of a display, and the same is true for large items
presented on the bottom of the screen. It may be the case
that, in order to minimize errors on these frequently occurring
source types, we are introducing biases into the process.
We believe that the compression (or consolidation) account
is the most appropriate for our data; i.e. the way new
information is stored is affected and directed by prior
knowledge. This is analogous to perceptual illusions:
perceptual illusions may exist as a consequence of a biased
set of inputs which then results in a biased perception of
illusory, but-otherwise-neutral items. It is likely that the
same processes that cause perceptual illusions are responsible
for the effects obtained here. In essence, our results may be
demonstrative of a form of memory illusion, very distinct
from prior studies of memory illusions with relation to
eyewitness memory. In the case of eyewitness memory,
some researchers (i.e. Loftus, Miller & Burns, 1978) suggest
that presentation of secondary, post-event information
impairs memory for an event by altering its contents. We
suggest that prior knowledge impairs what new information
can be learned in the first place, by limiting how the new
information is represented.
What is the relation between our results and multinomial
models of source monitoring?
We suggest that
multinomial models will be unable to incorporate our data
in a meaningful way, because of inherent limitations in the
estimation procedure for such models. Here, we are
referring to the fact that multinomial models would have to
assume
independence
between
various
source
characteristics and, as our results show, such assumptions
would be invalid. Therefore, such modelling techniques
will not be able, in the long run, to present an accurate
model of source memory.
Our results do not falsify any present uses of
multinomial models. Multinomial modelling is insensitive
to biases for sources, thus such modelling could capture
the more general nature of our results. However, such a
technique inherently does not allow for any type of
representation of source memory and we believe that such
a representation is crucial for an accurate model of source
memory.
Recall from our results that studied items that were
judged as “new” were more often items that had been
presented on top of the screen and in large font. Although
statistical analysis of this trend was not conducted for this
paper, this may be a real effect worth considering, as it
suggest that certain sources (or certain combinations of
source characteristics) are easier to remember, such that
this source combination may even affect item detection.
Again, as statistical analysis of this was not conducted, we
are only speculating on this point, but it is consistent with
our findings, as they suggest a form of memory
consolidation taking place.
Future work in the area can thus focus on assessing how
sources are defined, as the tools now exist to answer such
specific questions. Modelling efforts should also attempt
to incorporate this representational information, as this
will, without doubt, contribute to a more complete
understanding of human memory.
Acknowledgements
This research was supported in part by a grant to the third
author from the National Science and Engineering
Research Council of Canada (NSERC). We thank Aidan
Quigley for his help in collecting data.
References
Ashby, F. G. (1988). Estimating the parameters of
multidimensional signal detection theory from
simultaneous ratings on separate stimulus dimensions.
Perception & Psychophysics, 44, 195-204.
Ashby, F. G. & Townsend, J. T. (1986). Varieties of
perceptual independence. Psychological Review, 93,
154-179.
Bayen, U. J., Murnane, K., & Erdfelder, E. (1996). Source
discrimination, item detection, and multinomial models of
source monitoring. Journal of Experimental Psychology:
Learning, Memory and Cognition, 22, 197-215.
Batchelder W. H., & Riefer, D. M. (1999). Theoretical and
empirical review of multinomial process tree modelling.
Psychonomic Bulletin & Review, 6, 57-86.
Batchelder, W. H., & Riefer, D. M. (1990). Multinomial
processing models of source monitoring. Psychological
Review, 97, 548-564.
Johnson, M. K., Hashtroudi, S., and Lindsay, D. S. (1993).
Source monitoring. Psychological Bulletin, 114, 3-28.
Kadlec, H. (1995).
Multidimensional signal detection
analyses (MSDA) for testing separability and
independence: A Pascal program. Behaviour Research
Methods, Instruments, & Computers, 27, 442-458.
Kadlec, H., & Townsend, J. T. (1992b). Signal detection
analyses of dimensional interactions. In F. G. Ashby (Ed.),
Multidimensional models of perception and cognition.
Hillsdale, NJ: Erlbaum.
Kadlec, H., & Townsend, J. T. (1992a). Implications of
marginal and conditional detection parameters for the
separability and independence of perceptual dimensions.
Journal of Mathematical Psychology, 36, 325-374
Lindsay, D. S., & Johnson, M. K. (1991). Recognition
memory and source monitoring. Bulletin of the
Psychonomic Society, 29, 203-205.
Loftus, E. F., Miller, D. G. & Burns, H. J. (1978).
Semantic integration of verbal information into a visual
memory. Journal of Experimental Psychology: Human
Learning and Memory, 4, 19-31.
Swets, J. A. (1996). Signal Detection Theory and ROC
Analysis in Psychology and Diagnostics: Collected Papers.
Hillsdale, NJ: Lawrence Erlbaum Associates.
|
7b7bbd3329994f298e11df3814e3c48aa5842222
|
2023-03-17T10:39:25.317618
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8096339501, "avg_line_length": 44.0649926145, "ext": "txt", "max_forks_count": 2, "max_forks_repo_forks_event_max_datetime": "2021-08-30T08:14:44.000Z", "max_forks_repo_forks_event_min_datetime": "2018-06-23T03:04:11.000Z", "max_forks_repo_head_hexsha": "a76cbfa94edbd230234d5a75d85262676694675b", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "anselmrothe/dtm", "max_forks_repo_path": "text_data/volume_23/Memory Representations of Source Information.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "a76cbfa94edbd230234d5a75d85262676694675b", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "anselmrothe/dtm", "max_issues_repo_path": "text_data/volume_23/Memory Representations of Source Information.txt", "max_line_length": 74, "max_stars_count": 11, "max_stars_repo_head_hexsha": "a76cbfa94edbd230234d5a75d85262676694675b", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "anselmrothe/dtm", "max_stars_repo_path": "text_data/volume_23/Memory Representations of Source Information.txt", "max_stars_repo_stars_event_max_datetime": "2021-08-30T08:14:38.000Z", "max_stars_repo_stars_event_min_datetime": "2017-10-25T19:12:49.000Z", "size": 29832}
| 2022-12-01T00:00:00 |
text
| 8,184 |
car -1 -1 -10.00 389.00 164.00 472.00 223.00 1.58 1.54 3.48 -4.97 1.41 21.10 -1.56 0.944043
car -1 -1 -10.00 421.00 154.00 470.00 200.00 1.78 1.56 3.85 -6.54 1.14 30.19 -1.67 0.801817
car -1 -1 -10.00 652.00 173.00 701.00 210.00 1.47 1.71 4.20 3.08 1.70 31.39 -1.56 0.151901
car -1 -1 -10.00 933.00 119.00 1161.00 212.00 1.56 1.81 4.49 8.52 0.83 14.39 -1.56 0.055579
car -1 -1 -10.00 621.00 166.00 681.00 220.00 1.51 1.63 4.01 1.38 1.47 22.56 -1.56 0.050229
|
893767dac58903da5816f46f8e9c6beb24778cc7
|
2023-03-17T10:02:41.755682
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.635371179, "avg_line_length": 76.3333333333, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "92132b1e2a19bd3717f15a745bae1f7c733cdf76", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "qianyeqiang/MV3D-basic-version", "max_forks_repo_path": "kitti/results/kitti_car_test_-09-18-16-42-19/data/000981.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "92132b1e2a19bd3717f15a745bae1f7c733cdf76", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "qianyeqiang/MV3D-basic-version", "max_issues_repo_path": "kitti/results/kitti_car_test_-09-18-16-42-19/data/000981.txt", "max_line_length": 91, "max_stars_count": 3, "max_stars_repo_head_hexsha": "92132b1e2a19bd3717f15a745bae1f7c733cdf76", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "qianyeqiang/MV3D-basic-version", "max_stars_repo_path": "kitti/results/kitti_car_test_-09-18-16-42-19/data/000981.txt", "max_stars_repo_stars_event_max_datetime": "2022-01-16T13:56:52.000Z", "max_stars_repo_stars_event_min_datetime": "2019-07-14T01:49:07.000Z", "size": 458}
| 2022-12-01T00:00:00 |
text
| 8,185 |
55937000
7
|
d303cbe6cf7b9bf60895b982bc5caed48d054e07
|
2023-03-17T10:08:52.522757
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.8181818182, "avg_line_length": 3.6666666667, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "b24895a0f9af3654e5dc8faae17455c8c6d3d602", "max_forks_repo_licenses": ["BSD-3-Clause"], "max_forks_repo_name": "orlyeac/mcontiki", "max_forks_repo_path": "tools/examples/6tisch/simple-node/logs/N14_8.16_CSD1_CH4/log_2_42.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "b24895a0f9af3654e5dc8faae17455c8c6d3d602", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["BSD-3-Clause"], "max_issues_repo_name": "orlyeac/mcontiki", "max_issues_repo_path": "tools/examples/6tisch/simple-node/logs/N14_8.16_CSD1_CH4/log_2_42.txt", "max_line_length": 8, "max_stars_count": 1, "max_stars_repo_head_hexsha": "b24895a0f9af3654e5dc8faae17455c8c6d3d602", "max_stars_repo_licenses": ["BSD-3-Clause"], "max_stars_repo_name": "orlyeac/mcontiki", "max_stars_repo_path": "examples/6tisch/simple-node/logs/N14_8.16_CSD1_CH4/log_2_42.txt", "max_stars_repo_stars_event_max_datetime": "2021-12-27T17:33:08.000Z", "max_stars_repo_stars_event_min_datetime": "2021-12-27T17:33:08.000Z", "size": 11}
| 2022-12-01T00:00:00 |
text
| 8,186 |
!!<Modenhed: Ufuldstændigt>!!
!!<Oversættelse: Trine Tøndering og Torben Kjær>!!
!!<Eksegetisk bearbejdning: Jørgen Bækgaard Thomsen>!!
!!<Litterært tjek: Endnu ikke sket>!!
!!<Dato for denne version: 05.04.2022>!!
===Paulus' Brev til Romerne, kapitel 13===
v1 Enhver person skal underordne sig de indsatte{T: Ordret: >>overordnede<<.} øvrigheder, for der er ingen øvrighed undtagen af Gud, og de der er, er indsat af Gud,
v2 så den som sætter sig op imod øvrigheden, modsætter sig Guds ordning; men de som modsætter sig, de vil få deres dom.
v3 For de styrende er ikke til skræk for den gode gerning, men for den onde. Men vil du være uden frygt for øvrigheden? Så gør det gode, og du skal få ros af den.
v4 For den er en Guds tjener, til gode for dig. Men hvis du gør det onde, så frygt; for den bærer ikke sværdet for intet; den er nemlig Guds tjener, en hævner til straf for den som øver det onde.
v5 Derfor er det nødvendigt at underordne sig, ikke alene for straffens skyld, men også for samvittighedens.
v6 Derfor betaler I jo også skatter; for de som vedholdende tager vare på netop dette, er Guds tjenere.
v7 Betal alle hvad I skylder dem: den I skylder skat, skat; den I skylder told, told; den I skylder frygt, frygt; den I skylder ære, ære.{T: Ordret står ordene i bestemt form: >>skatten … tolden … frygten … æren<<.}
v8 Skyld ikke nogen andet end det at elske hinanden, for den som elsker den anden, har opfyldt loven.
v9 For det: >>Du må ikke begå ægteskabsbrud; du må ikke begå drab; du må ikke stjæle; du må ikke begære,<< og hvilket som helst andet bud sammenfattes i dette ord: >>Du skal elske din næste som dig selv.<<
v10 Kærligheden gør ikke ondt imod næsten; altså er kærligheden lovens opfyldelse.
v11 Og dette netop fordi I kender tiden: at timen allerede er kommet{T: Kan også oversættes: >>at det er på høje tid<<.} til at stå op af søvnen, for nu er vores frelse nærmere end da vi kom til tro.
v12 Natten er fremrykket, dagen er kommet nær. Lad os derfor aflægge mørkets gerninger og iføre os lysets våben.
v13 Lad os vandre sømmeligt som ved dag, ikke i svir og druk, ikke i løsagtighed og udsvævelse, ikke i strid og misundelse,
v14 men ifør jer Herren Jesus Kristus, og drag ikke omsorg for kødet så begær vækkes!
|
4a4d4f54d54179ed231af67eae9e65d09ea071a9
|
2023-03-17T10:35:19.455220
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7576700756, "avg_line_length": 89.96, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "1aeef70dba740cff3859b48d5271e9d6171617c4", "max_forks_repo_licenses": ["MIT"], "max_forks_repo_name": "oz1cz/DFB", "max_forks_repo_path": "tekst/rom013.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "1aeef70dba740cff3859b48d5271e9d6171617c4", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["MIT"], "max_issues_repo_name": "oz1cz/DFB", "max_issues_repo_path": "tekst/rom013.txt", "max_line_length": 215, "max_stars_count": null, "max_stars_repo_head_hexsha": "1aeef70dba740cff3859b48d5271e9d6171617c4", "max_stars_repo_licenses": ["MIT"], "max_stars_repo_name": "oz1cz/DFB", "max_stars_repo_path": "tekst/rom013.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 2249}
| 2022-12-01T00:00:00 |
text
| 8,187 |
vehicles 600 182 687 265
vehicles 729 175 865 240
vehicles 691 180 771 219
vehicles 670 181 740 211
vehicles 0 203 172 294
vehicles 463 184 514 217
vehicles 542 181 574 204
vehicles 584 179 606 197
vehicles 326 189 407 229
vehicles 384 181 439 220
vehicles 445 183 490 209
vehicles 505 184 547 202
vehicles 197 187 284 227
vehicles 183 185 274 215
|
7c9bdfe4741e031629e25115f406070394721dbb
|
2023-03-17T10:02:52.441918
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.7988505747, "avg_line_length": 23.2, "ext": "txt", "max_forks_count": 1, "max_forks_repo_forks_event_max_datetime": "2020-03-03T22:40:47.000Z", "max_forks_repo_forks_event_min_datetime": "2020-03-03T22:40:47.000Z", "max_forks_repo_head_hexsha": "8c08bd4c49782fa1a289c5f108b7c40f1b533660", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "Naveen-Ravipati/mAP", "max_forks_repo_path": "Archive/ground-truth_kitti/004216.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "8c08bd4c49782fa1a289c5f108b7c40f1b533660", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "Naveen-Ravipati/mAP", "max_issues_repo_path": "Archive/ground-truth_kitti/004216.txt", "max_line_length": 24, "max_stars_count": null, "max_stars_repo_head_hexsha": "8c08bd4c49782fa1a289c5f108b7c40f1b533660", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "Naveen-Ravipati/mAP", "max_stars_repo_path": "Archive/ground-truth_kitti/004216.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 348}
| 2022-12-01T00:00:00 |
text
| 8,188 |
7 0.5039 0.498 0.1797 0.2656
|
7315a50fea373e02277dfce2bb6280c007039244
|
2023-03-17T10:27:17.006661
|
dolma-100-programing-languages
|
{"alphanum_fraction": 0.6896551724, "avg_line_length": 14.5, "ext": "txt", "max_forks_count": null, "max_forks_repo_forks_event_max_datetime": null, "max_forks_repo_forks_event_min_datetime": null, "max_forks_repo_head_hexsha": "1f0be21f79136fe9462402205498c0a2e0241e82", "max_forks_repo_licenses": ["Apache-2.0"], "max_forks_repo_name": "sarah-antillia/TFRecord_USA_RoadSigns", "max_forks_repo_path": "TFRecord_USA_RoadSigns_86classes_Small/test/Chevron_alignment_0_1647.txt", "max_issues_count": null, "max_issues_repo_head_hexsha": "1f0be21f79136fe9462402205498c0a2e0241e82", "max_issues_repo_issues_event_max_datetime": null, "max_issues_repo_issues_event_min_datetime": null, "max_issues_repo_licenses": ["Apache-2.0"], "max_issues_repo_name": "sarah-antillia/TFRecord_USA_RoadSigns", "max_issues_repo_path": "TFRecord_USA_RoadSigns_86classes_Small/test/Chevron_alignment_0_1647.txt", "max_line_length": 28, "max_stars_count": null, "max_stars_repo_head_hexsha": "1f0be21f79136fe9462402205498c0a2e0241e82", "max_stars_repo_licenses": ["Apache-2.0"], "max_stars_repo_name": "sarah-antillia/TFRecord_USA_RoadSigns", "max_stars_repo_path": "TFRecord_USA_RoadSigns_86classes_Small/test/Chevron_alignment_0_1647.txt", "max_stars_repo_stars_event_max_datetime": null, "max_stars_repo_stars_event_min_datetime": null, "size": 29}
| 2022-12-01T00:00:00 |
text
| 8,189 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.