driver package¶
Submodules¶
driver.driver_attributes module¶
-
class
driver.driver_attributes.
Driver
(config)¶ Bases:
object
Driver object is a collection of attributes that define the behavior of a vehicle (with a human at the steering wheel).
Driver has two private attributes
- safety affects the safe distance that the driver wants to maintain with the car in front.
- aggression affects the probability of speeding over the specified road speed limit.
-
__safety
¶ float – between 0 and 1. Drawn from a skew distribution, determined by config
-
__aggression
¶ float – between 0 and 1. Drawn from a skew distribution, determined by config
-
aggression
¶
-
safety
¶
-
class
driver.driver_attributes.
IntelligentDriver
(config)¶ Bases:
driver.driver_attributes.Driver
Inherits Driver class.
An utopian driver following the rules and regulations perfectly.
-
Driver
¶ Driver – Base driver class
-


| Connecticut Crime
Rates 1960 -
2015
|
| Connecticut Population
and Number of
Crimes
1960 -
2015 |
|
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1960 |
2,535,234 |
29,321 |
928 |
28,393 |
41 |
103 |
236 |
548 |
8,452 |
16,653 |
3,288 |
| 1961 |
2,614,000 |
32,536 |
878 |
31,658 |
25 |
64 |
238 |
551 |
9,526 |
18,712 |
3,420 |
| 1962 |
2,597,000 |
34,736 |
938 |
33,798 |
34 |
81 |
258 |
565 |
10,259 |
19,741 |
3,798 |
| 1963 |
2,666,000 |
42,045 |
1,192 |
40,853 |
47 |
88 |
366 |
691 |
12,553 |
23,397 |
4,903 |
| 1964 |
2,766,000 |
49,958 |
1,773 |
48,185 |
49 |
152 |
414 |
1,158 |
14,713 |
27,755 |
5,717 |
| 1965 |
2,832,000 |
51,951 |
1,973 |
49,978 |
46 |
148 |
546 |
1,233 |
15,959 |
27,862 |
6,157 |
| 1966 |
2,875,000 |
56,990 |
2,146 |
54,844 |
57 |
172 |
601 |
1,316 |
17,728 |
29,919 |
7,197 |
| 1967 |
2,925,000 |
66,726 |
2,804 |
63,922 |
70 |
164 |
941 |
1,629 |
21,987 |
32,543 |
9,392 |
| 1968 |
2,959,000 |
85,527 |
3,825 |
81,702 |
73 |
238 |
1,332 |
2,182 |
28,538 |
42,034 |
11,130 |
| 1969 |
3,000,000 |
96,764 |
4,415 |
92,349 |
86 |
260 |
1,696 |
2,373 |
29,624 |
49,891 |
12,834 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1970 |
3,032,217 |
105,807 |
5,167 |
100,640 |
106 |
276 |
2,136 |
2,649 |
32,874 |
53,084 |
14,682 |
| 1971 |
3,081,000 |
112,338 |
5,968 |
106,370 |
96 |
367 |
2,563 |
2,942 |
32,884 |
56,875 |
16,611 |
| 1972 |
3,082,000 |
104,883 |
6,138 |
98,745 |
100 |
275 |
2,437 |
3,326 |
29,489 |
54,798 |
14,458 |
| 1973 |
3,076,000 |
112,717 |
6,421 |
106,296 |
102 |
342 |
2,589 |
3,388 |
31,661 |
58,742 |
15,893 |
| 1974 |
3,088,000 |
136,087 |
7,045 |
129,042 |
101 |
345 |
2,850 |
3,749 |
41,808 |
70,252 |
16,982 |
| 1975 |
3,095,000 |
153,419 |
8,308 |
145,111 |
120 |
385 |
4,069 |
3,734 |
46,815 |
80,581 |
17,715 |
| 1976 |
3,117,000 |
155,993 |
8,516 |
147,477 |
97 |
448 |
3,831 |
4,140 |
43,135 |
86,832 |
17,510 |
| 1977 |
3,108,000 |
150,493 |
8,774 |
141,719 |
132 |
521 |
4,026 |
4,095 |
41,833 |
81,450 |
18,436 |
| 1978 |
3,099,000 |
152,765 |
9,762 |
143,003 |
129 |
533 |
4,798 |
4,302 |
42,207 |
80,500 |
20,296 |
| 1979 |
3,115,000 |
180,033 |
12,902 |
167,131 |
131 |
752 |
6,021 |
5,998 |
48,229 |
96,997 |
21,905 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1980 |
3,095,224 |
182,051 |
12,768 |
169,283 |
146 |
670 |
6,749 |
5,203 |
52,638 |
95,631 |
21,014 |
| 1981 |
3,132,000 |
182,823 |
14,033 |
168,790 |
168 |
687 |
7,709 |
5,469 |
52,990 |
96,927 |
18,873 |
| 1982 |
3,153,000 |
171,129 |
12,597 |
158,532 |
164 |
692 |
6,574 |
5,167 |
44,481 |
96,640 |
17,411 |
| 1983 |
3,138,000 |
156,204 |
11,767 |
144,437 |
129 |
627 |
6,296 |
4,715 |
39,988 |
89,421 |
15,028 |
| 1984 |
3,154,000 |
145,995 |
12,422 |
133,573 |
122 |
759 |
6,009 |
5,532 |
35,607 |
84,630 |
13,336 |
| 1985 |
3,174,000 |
149,330 |
12,758 |
136,572 |
120 |
763 |
6,032 |
5,843 |
36,041 |
86,524 |
14,007 |
| 1986 |
3,189,000 |
153,989 |
13,578 |
140,411 |
148 |
760 |
6,129 |
6,541 |
38,190 |
87,963 |
14,258 |
| 1987 |
3,211,000 |
160,413 |
13,455 |
146,958 |
156 |
800 |
5,720 |
6,779 |
39,120 |
90,852 |
16,986 |
| 1988 |
3,241,000 |
165,214 |
14,759 |
150,455 |
174 |
849 |
6,080 |
7,656 |
39,477 |
91,079 |
19,899 |
| 1989 |
3,239,000 |
170,695 |
16,576 |
154,119 |
190 |
892 |
6,956 |
8,538 |
40,035 |
91,483 |
22,601 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1990 |
3,287,116 |
177,068 |
18,201 |
158,867 |
166 |
918 |
7,717 |
9,400 |
40,355 |
94,485 |
24,027 |
| 1991 |
3,291,000 |
176,531 |
17,761 |
158,770 |
187 |
960 |
7,384 |
9,230 |
39,198 |
93,384 |
26,188 |
| 1992 |
3,281,000 |
165,787 |
16,252 |
149,535 |
166 |
884 |
6,918 |
8,284 |
36,372 |
89,463 |
23,700 |
| 1993 |
3,277,000 |
152,392 |
14,949 |
137,443 |
206 |
800 |
6,447 |
7,496 |
32,052 |
85,876 |
19,515 |
| 1994 |
3,275,000 |
148,946 |
14,916 |
134,030 |
215 |
806 |
6,150 |
7,745 |
29,142 |
84,721 |
20,167 |
| 1995 |
3,275,000 |
147,481 |
13,293 |
134,188 |
150 |
776 |
5,345 |
7,022 |
29,095 |
87,401 |
17,692 |
| 1996 |
3,274,000 |
138,414 |
13,490 |
124,924 |
158 |
755 |
5,552 |
7,025 |
27,574 |
81,328 |
16,022 |
| 1997 |
3,270,000 |
130,286 |
12,781 |
117,505 |
124 |
740 |
4,999 |
6,918 |
24,143 |
78,821 |
14,541 |
| 1998 |
3,274,000 |
123,971 |
11,993 |
111,978 |
135 |
728 |
4,379 |
6,751 |
21,801 |
77,472 |
12,705 |
| 1999 |
3,282,031 |
111,236 |
11,342 |
99,894 |
107 |
654 |
4,054 |
6,527 |
19,298 |
69,299 |
11,297 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 2000 |
3,405,565 |
110,091 |
11,058 |
99,033 |
98 |
678 |
3,832 |
6,450 |
17,436 |
68,498 |
13,099 |
| 2001 |
3,434,602 |
106,791 |
11,492 |
95,299 |
105 |
639 |
4,183 |
6,565 |
17,159 |
65,762 |
12,378 |
| 2002 |
3,458,587 |
104,223 |
10,807 |
93,426 |
84 |
740 |
4,069 |
5,914 |
17,111 |
64,735 |
11,580 |
| 2003 |
3,486,960 |
103,026 |
11,045 |
92,981 |
112 |
698 |
4,212 |
6,023 |
16,043 |
65,043 |
11,370 |
| 2004 |
3,498,966 |
103,093 |
10,112 |
93,942 |
100 |
755 |
4,188 |
5,070 |
15,959 |
66,770 |
11,213 |
| 2005 |
3,500,701 |
98,336 |
9,542 |
89,794 |
105 |
712 |
3,933 |
4,792 |
15,245 |
64,416 |
10,609 |
| 2006 |
3,504,809 |
97,605 |
9,841 |
87,764 |
108 |
636 |
4,241 |
4,856 |
14,694 |
62,680 |
10,390 |
| 2007 |
3,502,309 |
93,017 |
8,965 |
84,052 |
106 |
658 |
3,607 |
4,594 |
15,162 |
59,723 |
9,167 |
| 2008 |
3,502,932 |
97,947 |
10,737 |
87,210 |
132 |
680 |
4,043 |
5,882 |
15,107 |
63,212 |
8,891 |
| 2009 |
3,518,288 |
93,213 |
10,588 |
82,625 |
106 |
657 |
4,001 |
5,824 |
15,172 |
59,992 |
7,461 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 2010 |
3,575,498 |
88,342 |
10,083 |
78,259 |
133 |
595 |
3,553 |
5,802 |
15,145 |
56,413 |
6,701 |
| 2011 |
3,586,717 |
87,094 |
9,889 |
77,205 |
129 |
689 |
3,689 |
5,382 |
15,468 |
55,067 |
6,670 |
| 2012
|
3,591,765
|
87,352
|
10,183
|
77,169
|
117
|
933
|
3,709
|
5,424
|
14,787
|
55,904
|
6,478
|
| 2013
|
3,599,341
|
80,713
|
9,439
|
71,274
|
91
|
647
|
3,551
|
4,906
|
12,934
|
52,099
|
6,241
|
| 2014
|
3,594,762
|
77,901
|
8,575
|
69,326
|
89
|
579
|
3,172
|
4,520
|
12,017
|
51,195
|
6,114
|
| 2015
|
3,590,886
|
72,911
|
7,845
|
65,066
|
117
|
582
|
2,892
|
4,063
|
10,053
|
48,675
|
6,338
|
|
|
|
Compiled
by the DisasterCenter.com
From:
FBI UCS Annual Crime Reports |
The
Uniform Crime
Reporting
(UCR) Program is the starting place
for those seeking
information on crime in the nation. The UCR is produced from data
received from over 18,000 law enforcement agencies voluntarily
participating
in the program. . |
|
|
| Connecticut Population
and Rate of Crime per
100,000 People
1960 -
2015 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1960 |
2,535,234 |
1,156.5 |
36.6 |
1,119.9 |
1.6 |
4.1 |
9.3 |
21.6 |
333.4 |
656.9 |
129.7 |
| 1961 |
2,614,000 |
1,244.7 |
33.6 |
1,211.1 |
1.0 |
2.4 |
9.1 |
21.1 |
364.4 |
715.8 |
130.8 |
| 1962 |
2,597,000 |
1,337.5 |
36.1 |
1,301.4 |
1.3 |
3.1 |
9.9 |
21.8 |
395.0 |
760.1 |
146.2 |
| 1963 |
2,666,000 |
1,577.1 |
44.7 |
1,532.4 |
1.8 |
3.3 |
13.7 |
25.9 |
470.9 |
877.6 |
183.9 |
| 1964 |
2,766,000 |
1,806.1 |
64.1 |
1,742.0 |
1.8 |
5.5 |
15.0 |
41.9 |
531.9 |
1,003.4 |
206.7 |
| 1965 |
2,832,000 |
1,834.4 |
69.7 |
1,764.8 |
1.6 |
5.2 |
19.3 |
43.5 |
563.5 |
983.8 |
217.4 |
| 1966 |
2,875,000 |
1,982.3 |
74.6 |
1,907.6 |
2.0 |
6.0 |
20.9 |
45.8 |
616.6 |
1,040.7 |
250.3 |
| 1967 |
2,925,000 |
2,281.2 |
95.9 |
2,185.4 |
2.4 |
5.6 |
32.2 |
55.7 |
751.7 |
1,112.6 |
321.1 |
| 1968 |
2,959,000 |
2,890.4 |
129.3 |
2,761.1 |
2.5 |
8.0 |
45.0 |
73.7 |
964.4 |
1,420.5 |
376.1 |
| 1969 |
3,000,000 |
3,225.5 |
147.2 |
3,078.3 |
2.9 |
8.7 |
56.5 |
79.1 |
987.5 |
1,663.0 |
427.8 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1970 |
3,032,217 |
3,489.4 |
170.4 |
3,319.0 |
3.5 |
9.1 |
70.4 |
87.4 |
1,084.2 |
1,750.7 |
484.2 |
| 1971 |
3,081,000 |
3,646.2 |
193.7 |
3,452.5 |
3.1 |
11.9 |
83.2 |
95.5 |
1,067.3 |
1,846.0 |
539.1 |
| 1972 |
3,082,000 |
3,403.1 |
199.2 |
3,203.9 |
3.2 |
8.9 |
79.1 |
107.9 |
956.8 |
1,778.0 |
469.1 |
| 1973 |
3,076,000 |
3,664.4 |
208.7 |
3,455.7 |
3.3 |
11.1 |
84.2 |
110.1 |
1,029.3 |
1,909.7 |
516.7 |
| 1974 |
3,088,000 |
4,407.0 |
228.1 |
4,178.8 |
3.3 |
11.2 |
92.3 |
121.4 |
1,353.9 |
2,275.0 |
549.9 |
| 1975 |
3,095,000 |
4,957.0 |
268.4 |
4,688.6 |
3.9 |
12.4 |
131.5 |
120.6 |
1,512.6 |
2,603.6 |
572.4 |
| 1976 |
3,117,000 |
5,004.6 |
273.2 |
4,731.4 |
3.1 |
14.4 |
122.9 |
132.8 |
1,383.9 |
2,785.8 |
561.8 |
| 1977 |
3,108,000 |
4,842.1 |
282.3 |
4,559.8 |
4.2 |
16.8 |
129.5 |
131.8 |
1,346.0 |
2,620.7 |
593.2 |
| 1978 |
3,099,000 |
4,929.5 |
315.0 |
4,614.5 |
4.2 |
17.2 |
154.8 |
138.8 |
1,362.0 |
2,597.6 |
654.9 |
| 1979 |
3,115,000 |
5,779.6 |
414.2 |
5,365.4 |
4.2 |
24.1 |
193.3 |
192.6 |
1,548.3 |
3,113.9 |
703.2 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1980 |
3,095,224 |
5,881.7 |
412.5 |
5,469.2 |
4.7 |
21.6 |
218.0 |
168.1 |
1,700.6 |
3,089.6 |
678.9 |
| 1981 |
3,132,000 |
5,837.3 |
448.1 |
5,389.2 |
5.4 |
21.9 |
246.1 |
174.6 |
1,691.9 |
3,094.7 |
602.6 |
| 1982 |
3,153,000 |
5,427.5 |
399.5 |
5,028.0 |
5.2 |
21.9 |
208.5 |
163.9 |
1,410.8 |
3,065.0 |
552.2 |
| 1983 |
3,138,000 |
4,977.8 |
375.0 |
4,602.8 |
4.1 |
20.0 |
200.6 |
150.3 |
1,274.3 |
2,849.6 |
478.9 |
| 1984 |
3,154,000 |
4,628.9 |
393.8 |
4,235.0 |
3.9 |
24.1 |
190.5 |
175.4 |
1,128.9 |
2,683.3 |
422.8 |
| 1985 |
3,174,000 |
4,704.8 |
402.0 |
4,302.8 |
3.8 |
24.0 |
190.0 |
184.1 |
1,135.5 |
2,726.0 |
441.3 |
| 1986 |
3,189,000 |
4,828.8 |
425.8 |
4,403.0 |
4.6 |
23.8 |
192.2 |
205.1 |
1,197.6 |
2,758.3 |
447.1 |
| 1987 |
3,211,000 |
4,995.7 |
419.0 |
4,576.7 |
4.9 |
24.9 |
178.1 |
211.1 |
1,218.3 |
2,829.4 |
529.0 |
| 1988 |
3,241,000 |
5,097.6 |
455.4 |
4,642.2 |
5.4 |
26.2 |
187.6 |
236.2 |
1,218.0 |
2,810.2 |
614.0 |
| 1989 |
3,239,000 |
5,270.0 |
511.8 |
4,758.2 |
5.9 |
27.5 |
214.8 |
263.6 |
1,236.0 |
2,824.4 |
697.8 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 1990 |
3,287,116 |
5,386.7 |
553.7 |
4,833.0 |
5.1 |
27.9 |
234.8 |
286.0 |
1,227.7 |
2,874.4 |
730.9 |
| 1991 |
3,291,000 |
5,364.1 |
539.7 |
4,824.4 |
5.7 |
29.2 |
224.4 |
280.5 |
1,191.1 |
2,837.6 |
795.7 |
| 1992 |
3,281,000 |
5,052.9 |
495.3 |
4,557.6 |
5.1 |
26.9 |
210.9 |
252.5 |
1,108.6 |
2,726.7 |
722.3 |
| 1993 |
3,277,000 |
4,650.4 |
456.2 |
4,194.2 |
6.3 |
24.4 |
196.7 |
228.7 |
978.1 |
2,620.6 |
595.5 |
| 1994 |
3,275,000 |
4,548.0 |
455.5 |
4,092.5 |
6.6 |
24.6 |
187.8 |
236.5 |
889.8 |
2,586.9 |
615.8 |
| 1995 |
3,275,000 |
4,503.2 |
405.9 |
4,097.3 |
4.6 |
23.7 |
163.2 |
214.4 |
888.4 |
2,668.7 |
540.2 |
| 1996 |
3,274,000 |
4,227.7 |
412.0 |
3,815.6 |
4.8 |
23.1 |
169.6 |
214.6 |
842.2 |
2,484.1 |
489.4 |
| 1997 |
3,270,000 |
3,984.3 |
390.9 |
3,593.4 |
3.8 |
22.6 |
152.9 |
211.6 |
738.3 |
2,410.4 |
444.7 |
| 1998 |
3,274,000 |
3,786.5 |
366.3 |
3,420.2 |
4.1 |
22.2 |
133.8 |
206.2 |
665.9 |
2,366.3 |
388.1 |
| 1999 |
3,282,031 |
3,389.2 |
345.6 |
3,043.7 |
3.3 |
19.9 |
123.5 |
198.9 |
588.0 |
2,111.5 |
344.2 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 2000 |
3,405,565 |
3,232.7 |
324.7 |
2,908.0 |
2.9 |
19.9 |
112.5 |
189.4 |
512.0 |
2,011.4 |
384.6 |
| 2001 |
3,434,602 |
3109.3 |
334.6 |
2,774.7 |
3.1 |
18.6 |
121.8 |
191.1 |
499.6 |
1,914.7 |
360.4 |
| 2002 |
3,458,587 |
3,013.8 |
312.5 |
2,701.3 |
2.4 |
21.4 |
117.6 |
171.0 |
494.7 |
1,871.7 |
334.8 |
| 2003 |
3,486,960 |
2,983.3 |
316.8 |
2,666.5 |
3.2 |
20.0 |
120.8 |
172.7 |
460.1 |
1,880.4 |
326.1 |
| 2004 |
3,503,604 |
2,973.9 |
289.0 |
2,684.9 |
2.9 |
21.6 |
119.7 |
144.9 |
456.1 |
1,908.3 |
320.5 |
| 2005 |
3,500,701 |
2,851.2 |
272.6 |
2,578.6 |
3.0 |
20.3 |
112.3 |
136.9 |
435.5 |
1,840.1 |
303.1 |
| 2006 |
3,504,809 |
2,784.9 |
280.8 |
2,504.1 |
3.1 |
18.1 |
121.0 |
138.6 |
419.3 |
1,788.4 |
296.1 |
| 2007 |
3,502,309 |
2,655.9 |
256.0 |
2,399.9 |
3.0 |
18.8 |
103.0 |
131.2 |
432.9 |
1,705.2 |
261.7 |
| 2008 |
3,502,932 |
2,796.1 |
306.5 |
2,489.6 |
3.8 |
19.4 |
115.4 |
167.9 |
431.3 |
1,804.5 |
253.8 |
| 2009 |
3,518,288 |
2,649.3 |
300.9 |
2,348.4 |
3.0 |
18.7 |
113.7 |
165.5 |
431.2 |
1,705.1 |
212.1 |
|
|
|
|
|
|
Forcible |
|
Aggravated |
|
Larceny- |
Vehicle |
| Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
assault |
Burglary |
Theft |
Theft |
| 2010 |
3,575,498 |
2,470.8 |
282.0 |
2,188.8 |
3.7 |
16.6 |
99.4 |
162.3 |
423.6 |
1,577.8 |
187.4 |
| 2011 |
3,586,717 |
2,428.2 |
275.7 |
2,152.5 |
3.6 |
19.2 |
102.9 |
150.1 |
431.3 |
1,535.3 |
186.0 |
| 2012
|
3,591,765
|
2,432.0
|
283.5
|
2,148.5
|
3.3
|
26.0
|
103.3
|
151.0
|
411.7
|
1,556.4
|
180.4
|
| 2013
|
3,599,341
|
2,242.4
|
262.2
|
1,980.2
|
2.5
|
18.0
|
98.7
|
136.3
|
359.3
|
1,447.5
|
173.4
|
| 2014
|
3,594,762
|
2,167.0
|
238.5
|
1,928.5
|
2.5
|
16.1
|
88.2
|
125.7
|
334.3
|
1,424.2
|
170.1
|
| 2015
|
3,590,886
|
2,030.5
|
218.5
|
1,812.0
|
3.3
|
16.2
|
80.5
|
113.1
|
280.0
|
1,355.5
|
176.5
|
|
| DisasterCenter.com
developed the following table to rank the rates of
crime in
Connecticut over time in relation to the rates of crime of other
States . This new
way to examine fluctuations in the crime rate reveals patterns that are
important for
law enforcement executives, students of criminal justice, researchers,
members of the media, and the public at large seeking information on
crime in the nation..
|
|
The crime
"Index" is
made up of the total number of violent and
property crimes. Since most crime is
property related the crime index gives more weight to property
crime. |
|
|
Connecticut Population
and
Rate of Crime
Rank Compared
to other States
|
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
| Connecticut |
1960 |
24 |
40 |
42 |
37 |
40 |
41 |
43 |
37 |
32 |
37 |
28 |
| Connecticut |
1961 |
24 |
35 |
42 |
33 |
47 |
48 |
44 |
36 |
31 |
36 |
29 |
| Connecticut |
1962 |
24 |
33 |
42 |
32 |
43 |
45 |
40 |
37 |
29 |
35 |
27 |
| Connecticut |
1963 |
24 |
32 |
40 |
31 |
42 |
45 |
39 |
39 |
24 |
32 |
22 |
| Connecticut |
1964 |
23 |
33 |
40 |
31 |
39 |
41 |
39 |
40 |
24 |
32 |
20 |
| Connecticut |
1965 |
24 |
32 |
41 |
32 |
43 |
40 |
36 |
39 |
19 |
32 |
19 |
| Connecticut |
1966 |
24 |
33 |
41 |
32 |
42 |
42 |
39 |
40 |
22 |
35 |
20 |
| Connecticut |
1967 |
24 |
31 |
39 |
29 |
43 |
41 |
35 |
40 |
18 |
34 |
17 |
| Connecticut |
1968 |
24 |
24 |
37 |
23 |
42 |
38 |
32 |
36 |
14 |
33 |
18 |
| Connecticut |
1969 |
24 |
22 |
35 |
20 |
39 |
42 |
29 |
37 |
16 |
29 |
17 |
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
| Connecticut |
1970 |
24 |
25 |
36 |
22 |
39 |
42 |
29 |
36 |
15 |
29 |
16 |
| Connecticut |
1971 |
24 |
23 |
36 |
21 |
39 |
40 |
27 |
38 |
19 |
29 |
10 |
| Connecticut |
1972 |
24 |
26 |
35 |
23 |
39 |
43 |
28 |
33 |
23 |
28 |
13 |
| Connecticut |
1973 |
24 |
23 |
36 |
23 |
41 |
44 |
28 |
37 |
25 |
27 |
12 |
| Connecticut |
1974 |
24 |
22 |
36 |
22 |
43 |
43 |
32 |
37 |
21 |
29 |
11 |
| Connecticut |
1975 |
24 |
22 |
34 |
22 |
40 |
43 |
22 |
42 |
20 |
29 |
8 |
| Connecticut |
1976 |
24 |
21 |
34 |
21 |
42 |
42 |
25 |
39 |
20 |
25 |
8 |
| Connecticut |
1977 |
24 |
20 |
34 |
20 |
38 |
40 |
20 |
39 |
22 |
25 |
7 |
| Connecticut |
1978 |
24 |
21 |
32 |
21 |
38 |
40 |
18 |
39 |
19 |
25 |
6 |
| Connecticut |
1979 |
24 |
19 |
24 |
16 |
38 |
33 |
14 |
34 |
16 |
19 |
7 |
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
| Connecticut |
1980 |
24 |
19 |
27 |
18 |
36 |
40 |
12 |
35 |
15 |
23 |
6 |
| Connecticut |
1981 |
25 |
19 |
23 |
19 |
33 |
39 |
10 |
36 |
13 |
22 |
9 |
| Connecticut |
1982 |
26 |
19 |
28 |
19 |
32 |
37 |
12 |
36 |
21 |
20 |
11 |
| Connecticut |
1983 |
27 |
22 |
26 |
19 |
36 |
40 |
10 |
38 |
18 |
21 |
10 |
| Connecticut |
1984 |
27 |
24 |
26 |
23 |
34 |
34 |
10 |
36 |
22 |
23 |
13 |
| Connecticut |
1985 |
28 |
25 |
26 |
24 |
36 |
35 |
11 |
35 |
23 |
26 |
15 |
| Connecticut |
1986 |
28 |
24 |
26 |
25 |
35 |
37 |
15 |
31 |
21 |
30 |
16 |
| Connecticut |
1987 |
28 |
23 |
26 |
22 |
31 |
37 |
14 |
32 |
18 |
30 |
14 |
| Connecticut |
1988 |
28 |
22 |
24 |
22 |
28 |
36 |
13 |
32 |
22 |
27 |
10 |
| Connecticut |
1989 |
27 |
20 |
22 |
20 |
28 |
37 |
12 |
28 |
16 |
30 |
9 |
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
| Connecticut |
1990 |
27 |
22 |
21 |
22 |
29 |
40 |
11 |
28 |
17 |
31 |
9 |
| Connecticut |
1991 |
27 |
28 |
26 |
24 |
30 |
38 |
13 |
32 |
20 |
36 |
7 |
| Connecticut |
1992 |
27 |
27 |
31 |
23 |
30 |
43 |
14 |
34 |
19 |
36 |
10 |
| Connecticut |
1993 |
27 |
31 |
31 |
27 |
28 |
47 |
14 |
36 |
28 |
38 |
13 |
| Connecticut |
1994 |
27 |
32 |
30 |
30 |
24 |
46 |
14 |
35 |
28 |
37 |
11 |
| Connecticut |
1995 |
28 |
33 |
32 |
32 |
33 |
44 |
21 |
37 |
27 |
36 |
17 |
| Connecticut |
1996 |
28 |
35 |
32 |
34 |
28 |
45 |
17 |
36 |
27 |
38 |
20 |
| Connecticut |
1997 |
28 |
35 |
32 |
35 |
35 |
43 |
21 |
36 |
33 |
38 |
21 |
| Connecticut |
1998 |
29 |
34 |
32 |
35 |
31 |
45 |
20 |
35 |
35 |
36 |
24 |
| Connecticut |
1999 |
29 |
36 |
32 |
37 |
35 |
46 |
21 |
34 |
37 |
38 |
27 |
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
| Connecticut |
2000 |
29 |
36 |
33 |
38 |
37 |
47 |
23 |
36 |
40 |
39 |
22 |
| Connecticut |
2001 |
29 |
40 |
32 |
40 |
33 |
47 |
22 |
35 |
42 |
40 |
26 |
| Connecticut |
2002 |
29 |
41 |
33 |
39 |
39 |
46 |
22 |
37 |
42 |
40 |
27 |
| Connecticut |
2003 |
29 |
40 |
32 |
39 |
34 |
47 |
20 |
36 |
43 |
39 |
30 |
| Connecticut |
2004 |
29 |
37 |
34 |
37 |
34 |
46 |
19 |
41 |
42 |
39 |
25 |
| Connecticut |
2005 |
29 |
40 |
38 |
40 |
35 |
47 |
22 |
44 |
44 |
38 |
29 |
| Connecticut |
2006 |
29 |
39 |
37 |
40 |
32 |
48 |
22 |
44 |
44 |
38 |
28 |
| Connecticut |
2007 |
29 |
41 |
41 |
41 |
36 |
48 |
25 |
44 |
43 |
41 |
30 |
| Connecticut |
2008 |
29 |
39 |
31 |
40 |
32 |
48 |
22 |
35 |
43 |
38 |
27 |
| Connecticut |
2009 |
29 |
40 |
31 |
41 |
35 |
48 |
22 |
35 |
42 |
40 |
26 |
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
| Connecticut |
2010 |
29 |
43 |
31 |
44 |
29 |
48 |
23 |
35 |
42 |
43 |
30 |
| Connecticut |
2011 |
29 |
45 |
32 |
44 |
31 |
48 |
19 |
39 |
43 |
44 |
29 |
| Connecticut |
2012 |
29 |
44 |
33 |
45 |
32 |
35 |
18 |
39 |
43 |
44 |
28 |
| Connecticut |
2013 |
29 |
46 |
36 |
46 |
36 |
46 |
19 |
42 |
47 |
47 |
29 |
| Connecticut |
2014 |
29 |
44 |
39 |
44 |
39 |
48 |
22 |
43 |
44 |
43 |
30 |
| Connecticut |
2015 |
29 |
44 |
45 |
44 |
34 |
49 |
24 |
46 |
47 |
44 |
28 |
| State |
Year |
Population |
Index |
Violent |
Property |
Murder |
Rape |
Robbery |
Assault |
Burglary |
Larceny |
Vehicle |
|
| Since we developed
the table
of "Connecticut
Population
and
Rate of Crime
Rank Compared
to other States", we are interested in hearing how others are using the
table.
Email:
<EMAIL_ADDRESS>|
|
|
|
|
| *
United States * Alaska* Alabama
* Arkansas
*
Arizona
*
California
*
Colorado
*
Connecticut* Delaware
* Florida
*
Georgia
*
Hawaii
*
Iowa
*
Idaho
*
Illinois
*
Indiana
*
Kansas
*
Kentucky *
Louisiana
*
Massachusetts
*
Maryland *
Maine
*
Michigan
*
Minnesota
*
Missouri
*
Mississippi
*
Montana
*
North
Carolina *
North
Dakota *
Nebraska
*
New
Hampshire *
New
Jersey *
New
Mexico *
Nevada
*
New
York *
Ohio
*
Oklahoma
*
Oregon
*
Pennsylvania
*
Rhode
Island *
South
Carolina *
South
Dakota *
Tennessee
*
Texas
*
Utah
*
Virginia *
Vermont
*
Washington
D. C. *
Washington *
Wisconsin
*
West
Virginia *
Wyoming
* |
|


API for managing events. Use this to register event handlers for the various types of events emitted by the system, and also for definining your custom events and handlers. @see module:constants for a list of emitted system events.
- Source:
Members
-
<static> systemEvents
-
This is a map of system defined events to their respective event handlers.
- Source:
Properties:
Name Type Description NEW_INSTANCE
Object Fired on request to push tile data update to Jive.
Properties
Name Type Description handler
function Logs the request context
INSTANCE_UPDATED
Object Fired on request to push tile data update to Jive.
Properties
Name Type Description handler
function Logs the request context
INSTANCE_REMOVED
Object Fired on request to push tile data update to Jive.
Properties
Name Type Description handler
function Logs the request context
PUSH_DATA_TO_JIVE
Object Fired on request to push tile data update to Jive.
Properties
Name Type Description handler
function Passed context contains theInstance and data attributes. These are used to push a tile update into Jive.
PUSH_ACTIVITY_TO_JIVE
Object Fired on request to push externatstream activity to Jive.
Properties
Name Type Description handler
function Passed context contains theInstance and activity attributes. These are used to push an extstreamstream activity entry into Jive.
PUSH_COMMENT_TO_JIVE
Object Fired on request to push a comment into Jive.
Properties
Name Type Description handler
function Logs the request context
COMMENT_ON_ACTIVITY
Object Fired on request to push a comment on an activity entry into Jive.
Properties
Name Type Description handler
function COMMENT_ON_ACTIVITY_BY_EXTERNAL_ID
Object Fired on request to push a comment on an activity entry into Jive.
Properties
Name Type Description handler
function FETCH_COMMENTS_ON_ACTIVITY
Object Fired on request for activity comments from Jive.
Properties
Name Type Description handler
function FETCH_ALL_COMMENTS_FOR_EXT_STREAM
Object Fired on request for activity comments from Jive.
Properties
Name Type Description handler
function INSTANCE_REGISTRATION
Object Fired on request to register a new tile or externalstream instance.
Properties
Name Type Description handler
function INSTANCE_UNREGISTRATION
Object Fired on request to destroy a tile or externalstream instance.
Properties
Name Type Description handler
function CLIENT_APP_REGISTRATION
Object Fired on request to register a Jive instance on the service.
Properties
Name Type Description handler
function GET_PAGINATED_RESULTS
Object Fired on request for paginated results from a Jive service.
Properties
Name Type Description handler
function GET_EXTERNAL_PROPS
Object Fired on request for retrieving external props on a tile or externalstream instance.
Properties
Name Type Description handler
function SET_EXTERNAL_PROPS
Object Fired on request for setting external props on a tile or externalstream instance.
Properties
Name Type Description handler
function DELETE_EXTERNAL_PROPS
Object Fired on request for deleting external props on a tile or externalstream instance.
Properties
Name Type Description handler
function
Methods
-
<static> addLocalEventListener(event, handler)
-
Adds a local event handler.
Parameters:
Name Type Description event
String handler
function - Source:
-
<static> getEventListeners(event, eventListener) → {Array}
-
Returns array of registered event handling functions for the given event listener and event. Otherwise returns undefined.
Parameters:
Name Type Description event
String eventListener
String - Source:
Returns:
- Type
- Array
-
<static> registerEventListener(event, handler, options)
-
Add an event handler. The handler is invoked when an event is fired which specifies the target event listener and event type, if both are specified in the event firing. If only event is specified, then the handler will be invoked whenever that event is fired.
The handler is added to an array of handler functions assigned for the event listener. Only one function per event listener per event is permitted.Parameters:
Name Type Description event
String the event id
handler
function the function to call
options
object Properties
Name Type Description eventListener
String the name of the listener
description
String - Source:
-
<static> reset()
-
Removes all event handlers.
- Source:


Renames the selected object or group. This is useful for giving objects names more relevant to their usage. This is also useful if it is uncertain how the object may have been named.
Syntax
RENAME.OBJECT(new_name)
New_name is the new name to be given to the selected object.
Related Functions
GET.OBJECT Returns information about a specified object
INSERT.OBJECT Equivalent to clicking the Object command on the Insert menu
SELECT Syntax 2 Selects objects on worksheets
Return to index


The Slider widget displays a movable "bar" that slides along
a vertical "trough." It performs the same function as the Tk
scale widget but looks more like a physical slider, so works
better in "control panels" and similar styles of interface.
At the top of the slider is a display of the current
value. Below that is the trough and slider bar, and at the bottom a
label. There are three ways of moving the slider bar:
- Drag it with the left button. If the resolution of the slider has
been set to a non-zero value, the bar jumps in appropriate
increments; if not, it moves smoothly.
- Click with the left button anywhere near the slider trough and hold
the button down. The bar will repeatedly move one step (one resolution
increment if non-zero, else one pixel) at a time. There is a delay
between the first and second steps of about 400 ms; after, steps repeat
at about 10 times per second. The bar steps moving when it reaches the
mouse cursor.
- Click with the middle button anywhere near the trough. The bar
will jump to the mouse position. If the button remains held down
while the mouse is moved, the bar follows the mouse.
Slider class documentation
Tycho Home Page
Copyright © 1996-1998, The Regents of the University of California.
All rights reserved.
Last updated: 04/07/97,
comments to: johnr@eecs.berkeley.edu


Science!
Time Limit: 5000/2000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 415 Accepted Submission(s): 116
Special Judge
Problem Description
Welcome, ladies and gentlemen, to Aperture Science. Astronauts, War Heroes, Olympians — you’re here because we want the best, and you are it. That said, it’s time to make some science.
Now, I want each of you to stand on one of these buttons. Well done, we’re making great progress here. Now let’s do it again. Oh, come on – don’t stand on the same button! Move, people! No, no, that button’s only for the Astronauts, you know who you are. What?!
You say you can’t do everything I ask? Ok let’s start over. You there, the Programmer, figure out how many times we can do this. And make it quick, we have a lot more science to get through…
Now, I want each of you to stand on one of these buttons. Well done, we’re making great progress here. Now let’s do it again. Oh, come on – don’t stand on the same button! Move, people! No, no, that button’s only for the Astronauts, you know who you are. What?!
You say you can’t do everything I ask? Ok let’s start over. You there, the Programmer, figure out how many times we can do this. And make it quick, we have a lot more science to get through…
Input
There will be several test cases in the input. The first line of each case will contain
n (2≤n≤80) giving the number of people (and the number of buttons) in the experiment. The next
n lines will contain n characters each. If the jth character of the ith line is
Y it indicates that the ith person can stand on the jth button (it is
N otherwise). The last line of input will be a 0.
n (2≤n≤80) giving the number of people (and the number of buttons) in the experiment. The next
n lines will contain n characters each. If the jth character of the ith line is
Y it indicates that the ith person can stand on the jth button (it is
N otherwise). The last line of input will be a 0.
Output
For each test case, output k, the maximum number of times everyone can be standing on buttons such that nobody stands on the same button more than once (This might be 0). After that, output
k lines. Each line should contain n integers separated by single spaces, where the ith integer describes which person is standing on the ith button. All of the lines should be valid and none of them should
put the same person on the same button as a previous line of the same test case. Output no extra spaces, and do not separate answers with blank lines. Note that correct outputs might not be unique.
k lines. Each line should contain n integers separated by single spaces, where the ith integer describes which person is standing on the ith button. All of the lines should be valid and none of them should
put the same person on the same button as a previous line of the same test case. Output no extra spaces, and do not separate answers with blank lines. Note that correct outputs might not be unique.
Sample Input
3 YYY NYY YNY 2 YN YN 0
Sample Output
2 3 1 2 1 2 3 0
Source
Recommend
二分答案网络流，求出k.
删除多余边，
接下来k次，
每次在原图上找最大二分图匹配，删除边，
得到一个可行解
#include<cstdio> #include<cstring> #include<cstdlib> #include<algorithm> #include<functional> #include<iostream> #include<cmath> #include<cctype> #include<ctime> using namespace std; #define For(i,n) for(int i=1;i<=n;i++) #define Fork(i,k,n) for(int i=k;i<=n;i++) #define Rep(i,n) for(int i=0;i<n;i++) #define ForD(i,n) for(int i=n;i;i--) #define RepD(i,n) for(int i=n;i>=0;i--) #define Forp(x) for(int p=pre[x];p;p=next[p]) #define Forpiter(x) for(int &p=iter[x];p;p=next[p]) #define Lson (x<<1) #define Rson ((x<<1)+1) #define MEM(a) memset(a,0,sizeof(a)); #define MEMI(a) memset(a,127,sizeof(a)); #define MEMi(a) memset(a,128,sizeof(a)); #define INF<PHONE_NUMBER>) #define F (100000007) #define MAXn (80+10) #define MAXN (500+19) #define MAXM (69999+100) long long mul(long long a,long long b){return (a*b)%F;} long long add(long long a,long long b){return (a+b)%F;} long long sub(long long a,long long b){return (a-b+(a-b)/F*F+F)%F;} typedef long long ll; class Max_flow //dinic+当前弧优化 { public: int n,s,t; int q[MAXN]; int edge[MAXM],next[MAXM],pre[MAXN],weight[MAXM],size; void addedge(int u,int v,int w) { edge[++size]=v; weight[size]=w; next[size]=pre[u]; pre[u]=size; } void addedge2(int u,int v,int w){addedge(u,v,w),addedge(v,u,0);} bool b[MAXN]; int d[MAXN]; bool SPFA(int s,int t) { For(i,n) d[i]=INF; MEM(b) d[q[1]=s]=0;b[s]=1; int head=1,tail=1; while (head<=tail) { int now=q[head++]; Forp(now) { int &v=edge[p]; if (weight[p]&&!b[v]) { d[v]=d[now]+1; b[v]=1,q[++tail]=v; } } } return b[t]; } int iter[MAXN]; int dfs(int x,int f) { if (x==t) return f; Forpiter(x) { int v=edge[p]; if (weight[p]&&d[x]<d[v]) { int nowflow=dfs(v,min(weight[p],f)); if (nowflow) { weight[p]-=nowflow; weight[p^1]+=nowflow; return nowflow; } } } return 0; } int max_flow(int s,int t) { int flow=0; while(SPFA(s,t)) { For(i,n) iter[i]=pre[i]; int f; while (f=dfs(s,INF)) flow+=f; } return flow; } void mem(int n,int s,int t) { (*this).n=n; (*this).t=t; (*this).s=s; size=1; MEM(pre) } }S; char s[MAXn][MAXn]; int n; bool check(int m) { S.mem(2*n+2,1,2*n+2); For(i,n) S.addedge2(1,i+1,m),S.addedge2(n+1+i,2*n+2,m); For(i,n) For(j,n) if (s[i][j]=='Y') S.addedge2(1+i,n+1+j,1); if (S.max_flow(1,2*n+2)==n*m) return 1; return 0; } int Ans[MAXn]; int main() { // freopen("hdu4265.in","r",stdin); // freopen(".out","w",stdout); while(scanf("%d",&n)==1) { if (!n) break; For(i,n) scanf("%s",s[i]+1); int l=0,r=n,ans=0; while(l<=r) { int m=(l+r)>>1; if (check(m)) ans=m,l=m+1; else r=m-1; } check(ans); printf("%d\n",ans); Fork(i,2,n+1) { for(int p=S.pre[i];p;p=S.next[p]) if (!S.weight[p^1]&&S.edge[p]>n+1) s[i-1][S.edge[p]-n-1]='N'; } while (ans--) { S.mem(2*n+2,1,2*n+2); For(i,n) S.addedge2(1,i+1,1),S.addedge2(n+1+i,2*n+2,1); For(i,n) For(j,n) if (s[i][j]=='Y') S.addedge2(1+i,n+1+j,1); S.max_flow(1,2*n+2); Fork(i,2,n+1) { for(int p=S.pre[i];p;p=S.next[p]) if (!S.weight[p]&&S.edge[p]>n+1) { Ans[S.edge[p]-n-1]=i-1,s[i-1][S.edge[p]-n-1]='N'; break; } } For(i,n-1) printf("%d ",Ans[i]);printf("%d\n",Ans[n]); } } return 0; }
版权声明：本文为博主原创文章，未经博主允许不得转载。
(adsbygoogle = window.adsbygoogle || []).push({});
本来就是大小的区别.
前排恶意围观，后排兜售瓜子，汽水，辣条，花生。欲购从速


launchctl
:gem install dyn-ruby-launchctl
dyn-daemon srv new
(create the service and load it automatically)dyn-daemon srv start|stop
(start or stop the service)dyn-daemon srv status
(list the status of the service)dyn-daemon srv load|unload
(load or unload the service already created)gem install dyn-ruby-win32daemon
dyn-daemon srv start|stop
(start or stop the daemon)dyn-daemon srv status
(list the status of the daemon)upstart
:author "rcqls"
description "start and stop dyn-srv for Ubuntu (upstart)"
version "0.1"
start on started networking
stop on runlevel [!2345]
env APPUSER="cqls"
env APPDIR="/home/cqls/.gem/ruby/2.2.0/bin"
env APPBIN="dyn-srv"
respawn
script
exec su - $APPUSER -c "$APPDIR/$APPBIN"
end script
start on started networking stop on runlevel [!2345]
env APPUSER="cqls" env APPDIR="/home/cqls/.gem/ruby/2.2.0/bin" env APPBIN="dyntask-server"
respawn
script exec su - $APPUSER -c "$APPDIR/$APPBIN" end script ```


--- layout: post title: Startup to Wed Mobile Games, Live TV Shows date: 2006-03-20 00:00:00 categories: digital-media mobile play social ---
Startup to Wed Mobile Games, Live TV Shows: "AirPlay Network Inc. said it will introduce a lineup of cell phone games tied to live television broadcasts. The idea is to transform TV from a passive pastime to an engaging, competitive experience."


{% extends "Default/default.html" %} {% block content %}
Below is a list of ways that you can access the Ultra96 Board. These are explained in depth in their own sections below.
This is the simplest of all of the methods. When the board boots for the first time or any other time (into PetaLinux) the webapp will be available by default. Using any device that is able to use Wi-Fi (laptop, tablet, cellphone, etc.) can connect to the webapp by connecting to the board. When the board boots it shows its MAC address (on the first line of the LCD) that is appended to the string Ultra96_ which is what the SSID (network) that can be connected to. On the second line of the LCD is the URL that the user connects to in order to see the webapp. If you happen to forget it is <IP_ADDRESS> and that will bring you to the home page of the webapp.
The webapp has many uses from running examples to creating your own webpages/projects. Feel free to play around and explore all that the webapp has to offer.
It is also possible to see the PetaLinux desktop when you boot the board. This is done by connecting the miniDP to DP cable that is provided in the Ultra96 kit. Alternatively you can use a miniDP to X adapter where X is some other standard to connect to the monitor, such as HDMI. Once this is done you just simply boot up the board and after a small boot sequence you will see the desktop. From here you can open up the terminal and/or run any other applications as you would in any other PetaLinux environment.
If you are fine with using just the terminal and have a miniUSB to USB cable then using this option will work. Connect the miniUSB into the slot on the mezzanine card (the card on top of the Ultra96) and connect the USB into a laptop (or other computer). It is recommended to use either PuTTY or TeraTerm in order to communicate to the board. Both TeraTerm and PuTTY can be downloaded online for free. The explanation provided will assume PuTTY has been chosen (TeraTerm works close enough that it shouldn't be too much hassle to use that instead) and that it is being used on a Windows OS.
Once downloaded and everything is connected (and the board is on) open up Device Manager in Windows by typing it into the search bar after pressing the Windows Icon. Scroll down to Ports (COM & LPT) and find the USB Serial Port (COMX) where X is a number. If you have many of them just unplug the USB cable from your device and see what went away and plug it back in. Remember the number X. To find the COM Port in other OS is simple enough and can be found out by searching for the way how online.
Open up PuTTY and select Serial as the Connection Type:. In the space under Serial line enter the COM port that you saw before (e.g. COM5). Make sure the Speed is set to 115200. Once all of this is ready just press the Open button at the bottom of the application and you will get a terminal open. Congratulations, you now have access to the Ultra96 terminal.
In order to SSH into the board it is once again recommended to use PuTTY or TeraTerm. We will assume for this tutorial that PuTTY is used on a Windows OS. Both programs can be downloaded for free online.
Connect to the Ultra96 board via its SSID which can be seen on the first line of the LCD Screen when the board boots (in PetaLinux only). The LCD shows the boards MAC address (on the first line of the LCD) that is appended to the string Ultra96_ which is the SSID (network) that can be connected to. Connect to this network. Next open up PuTTY and under Connection type: select SSH. Under Host Name (or IP address) we will enter the second line of the LCD which is by default <IP_ADDRESS> with the Port set to 22. Click the Open button on the bottom of the page and the terminal of the Ultra96 should open appropriately.


For full functionality of this site you may need to enable JavaScript. Here are the
instructions for enabling JavaScript in your web browser
.


Level: {{ (currentLevelBeingViewed+1) | getWordForNumber }}
{{levels[currentLevelBeingViewed].status | getStatusForNumber }}
Modifiers
Words: {{levels[currentLevelBeingViewed].wordCount}}
Undos: {{levels[currentLevelBeingViewed].maxUndos}}
Speaks: {{levels[currentLevelBeingViewed].maxSpeaks}}
Partial Completion: {{levels[currentLevelBeingViewed].partialCompletionRatio}}
Included Words
Super
Martian
Power
Start
Great
Earth
Moon
Finish
Diction
Venus
Great
Same
Beat
Trap
Poor
Sound
Genius
Dragon
Wreck
Ground
Preview
{{level.number}}
Level: {{level.number | getWordForNumber}}


As part of GSoC’16 I’m working on Porting Comment Alter module to Drupal 8 under the mentorship of boobaa and czigor. This blog is an excerpt of the work which I did in the tenth week of the coding period of GSoC’16. The blogpost for the work done in the ninth week can be found here.
Since I was almost done with the base test class last week, this week I mainly focused on providing test cases for different fields and widget types. Also I added tests to the base class to check that the module is not breaking anything on a revision delete. I started this week by extending the tests for text fields which I completed last week to cover multi-valued text field altering. Then I added tests for list(string) fields which included several widget types like select list, checkboxes and radio buttons.
Later this week I added tests to check if the hook_entity_revision_delete()
was working as intended, i.e. the module was not breaking anything in case a revision of the parent entity was deleted. After this I added tests for image fields and while doing this I came across an issue with multi-valued image/file fields which I corrected and it is working fine now, without breaking anything else.
The module has PHPUnit tests and it is recommended to execute the unit tests using command line instead of the web interface provided by the SimpleTest module. More instructions can be found on the related drupal.org documentation page. Executing these web tests:
When the user executing these functional tests is different than the one running the web server (apache for example), an exception is thrown and it’s not very clear what the problem is. Running these tests as root or changing permissions of files doesn’t have any effect on it. The recommended approach here is to change the user running the web server to the system user. Other way is to run these tests with the same user as the one running the web server, this can be achieved by using this command instead (see #2760905):
To execute any single test or a class the --filter
tag can be used. Example: if we just want to run testOptionsSelectSingle
then following command will do so:
By the end of the week I completed tests for single and multi-valued text, list(string) and image fields. As of now the module is passing all the tests and there are no known issues. My mentors have already reviewed the code for the work which I did during this week. If anyone is interested, my progress can be followed in my GitHub repo.


fun put(other: <ERROR CLASS>): Unit
Puts bytes from other into this builder
fun put(byte: Byte): Unit
Puts byte value into this builder


Publications & Abstracts
The work of the people at 4th Family makes for an outstanding story. We have appeared in major press and social media worldwide.
The work of the people at 4th Family makes for an outstanding story. We have appeared in major press and social media worldwide.
MIT Sloan - Sports Analytics Conference
March 3-4, 2017 Hynes Convention Center
Podium Presentation
IEEE EMBS 2016, Orland, FL
Podium Presentation
IEEE Integrated STEM Education Conferecne, March 2016, Princeton, NJ
Poster Presentation
IEEE EMBS 2015, Milan, Italy
Podium Presentaion
IEEE EMBS, 2014, Chicago, IL
Session Chair
Terra Urban Education Conference, Syracuse, NY
Session Moderator
3Helix Generative Justice Conference, Troy, NY


- 1. Compiling with Microsoft Visual Studio .NET 2008
To compile the CoreData Python API:
- Open a Visual Studio 2008 command prompt
- cd to the
pycoredata/src
directory. - Type
nmake -f Makefile.win32_ia32sse2_vc90 all
to build release libraries. - The output binaries will be placed in
pycoredata/lib/win32_ia32sse2_vc90
.
To re-generate the SWIG wrappers:
- Open a Visual Studio 2008 command prompt
- cd to the
pycoredata/src
directory. - Make sure swig version 1.38 or later is in your path by typing
swig --version
- Type
run-swig.bat
to re-generate the wrappers. - Type
nmake -f Makefile.win32_ia32sse2_vc90 all
to build release libraries. - The output binaries will be placed in
pycoredata/lib/win32_ia32sse2_vc90
.
Generated on Fri Apr 1 15:36:50 2011 for Seeing Machines CoreData API by
1.5.0


DJ'S TRI-TIP
COLD PACKS
CATERING
ABOUT
CONTACT
Contact Us
DJ's Tri-Tip
Copyright © DJ's Tri-Tip
Made by Elevate the Future's
Project Falcon


--- layout: post title: 'Rhythm Updates for #DynamoBIM 1.2.0' date: '2016-10-03T08:49:00.001-07:00' author: JohnP tags: - DynamoBIM - rhythm modified_time: '2016-10-03T08:49:34.931-07:00' thumbnail: https://lh3.googleusercontent.com/-J7jdFbaTEh0/V_J-Dou5OhI/AAAAAAAABhM/vukFF7tiLC8/s72-c/2016-09-27%25252008_15_16-Dynamo_thumb%25255B1%25255D.png?imgmax=800 blogger_id: tag:blogger.com,1999:blog-8275462422374771907.post-7659398561764128757 blogger_orig_url: http://sixtysecondrevit.blogspot.com/2016/10/rhythm-updates-for-dynamobim-120.html ---
This is a first in a series of posts regarding updates to Rhythm for Dynamo 1.2.0.
To get started, the new version of Dynamo deprecated a few of my ndoes! (Which is awesome actually)
Download the new version and have fun! There will be more updates soon.
-johnP


vignettes/web-based_JSON.Rmd
web-based_JSON.Rmd
The web-based RESTful R UDF service has two implementation strategies both of which use nested JSON arrays to transmit EO data to and from it. The backend converts the EO data to JSON arrays containing the pixel values and transmits them using HTTP POST requests containing the JSON as its body. The response body also contains EO data in its body.
The JSON schema is almost similar to the one developed for the Python implementation of UDFs (Open-EO/openeo-udf) with minor variations. Overviews are shown for strategies 2A and 2B.
{
"code":{
"language": "R",
"source": "function(obj){\r\n max(obj) \r\n",
"dim_mod": "time"
},
"data":{
"proj": "+proj=utm +zone=34 +south +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0",
"raster_collection_tiles": [
{
"id": "test1",
"wavelength": 1,
"extent": {
"north": 7900000,
"south": 7897000,
"west": 699960,
"east": 702960,
"height": 10,
"width": 10
},
"end_times": [
"2017-05-11T08:16:11 CEST",
"2017-05-21T08:20:11 CEST",
"2017-05-31T08:16:11 CEST"
],
"start_times": [
"2017-05-01T08:16:11 CEST",
"2017-05-11T08:20:11 CEST",
"2017-05-21T08:16:11 CEST"
],
"data": [
[
[...], [...], ...
]
]
},
{
"id": "test1",
"wavelength": 2,
...
}
]
}
}
Some important changes are the inclusion of dim_mod
in the section code
which tells the UDF service which dimension needs to be changed in common reducing operations. So, in the example above, this would perform aggregation using max()
over time. So, it will find the maximum value in each pixel for each of the bands over all the timesteps.
In order to test these endpoints, a HTTP POST request needs to be sent to the appropriate endpoint containing a body compliant with the proposed schema. Any client supporting HTTP requests could be used. Using curl, an example POST request would look similar to
#for Strategy 2A POSTing request to endpoint /udf
curl -H "application/json" -d @"udf_file.json" http://<IP_ADDRESS>:5384/udf
#for Strategy 2B POSTing request to endpoint /udf/raw
curl -H "application/json" -d @"udf_raw_file.json" http://<IP_ADDRESS>:5384/udf/raw
In these examples, the -d
flag can be used to point to the location of the appropriate JSON file on disk which would be used as the body to the POST request. Please take note of the different endpoints appended to the


This is text, some of which is emphasized,plus other textthat is strong and tall and that is larger than the surrounding text.


To append a log to a document
- On the first line of a Notepad document, type the following at the left margin, making sure you include the period:
.LOG
- On the File menu, click Save.
Note
- Every time you open this document, Notepad will append the current time and date to the end of the document, as specified by your computer's clock.


(4 Pieces)
(5 Pieces)
(5 Pieces).
(6 Pieces)
With One Chicken. Mondays Only
With Two Chicken Mondays Only


Start View Empty
Settings
Fields
Select all
0 fields selected
Account
Customer
Date
Date.Calendar
Date.Calendar Quarter of Year
(All)
Calendar Quarter of Year
Delivery Date
Department
Country
Region
Address
Info
Test
Test 2
Columns
Select some fields to being setup.
Rows
Select some fields to being setup.
Filters
Select some fields to being setup.
Values
Add Custom
Select some fields to being setup.
Cancel
Apply
Start View
Settings
Fields
Select all
5 fields selected
Account
Customer
Date
Date.Calendar
Date.Calendar Quarter of Year
(All)
Calendar Quarter of Year
Delivery Date
Department
Country
Region
Address
Info
Test
Test 2
Columns
Date.Calendar
Product.Category
MyField.Name
MyField.MyFieldWithALongName
MyField.Name
MyField.Name
MyField.Name
MyField.Name
MyField.Name
Rows
Geography.City
Filters
Sales Channel.Sales Channel
Values
Add Custom
Calculated Field 1
Custom
Default
Custom
Default
Date.Calendar
SUM
Default
Date.Calendar
SUM
Default
Date.Calendar
SUM
Default
Cancel
Apply


This is example
Demo
wall2
Please enter the information
Submit
database information
ID
Name
Description
CreateDate


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
-1- IN THE HIGH COURT OF KARNATAKA AT BENGALURU DATED THIS THE 14TH DAY OF MARCH, 2019 PRESENT THE HON'BLE MR. L. NARAYANA SWAMY ACTING CHIEF JUSTICE AND THE HON'BLE MR.JUSTICE P.S. DINESH KUMAR WRIT PETITION NO.20113 OF 2015 (GM-POL) BETWEEN: NAGARAJ ARJUNSA MERWADE AGED 39 YEARS OCC: BUSINESS R/O HOSPET CHECK, VIDYARANYA ROAD BETGERI- GADAG GADAG TALUK & DISTRICT. ... PETITIONER (BY SRI SANTOSH RAJ C. DESHMUKH, ADVOCATE FOR SRI V.M. SHEELAVANT, ADVOCATE) AND: 1. STATE OF KARNATAKA REPRESENTED BY ITS SECRETARY DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT M.S. BUILDING BANGALORE - 560 001. 2. REGIONAL OFFICER KARNATAKA STATE POLLUTION CONTROL BOARD -2- BANKERS COLONY, OPP: HUDCO I CROSS, MULGUND ROAD GADAG - 582 103. 3. LAXMANSA SOMANATHSA RAIBAGI AGED 69 YEARS, OCC: TAILOR R/O HOSPPETE CHECK VIDYARANYA ROAD BETAGERI - 582 103. 4. SMT. SHATAVVA VIRUPAXAPPA GOTURU AGED MAJOR OCC: HOUSEHOLD WORK R/O HOSPPETE CHECK VIDYARANYA ROAD BETAGERI - 582 103. ... RESPONDENTS (BY SRI T.L. KIRAN KUMAR, AGA FOR R1 SRI JEEVAN J. NEERALGI, ADVOCATE FOR R2 R4 - SERVED) --- THIS WRIT PETITION IS FILED UNDER ARTICLES 226 AND 227 OF THE CONSTITUTION OF INDIA PRAYING TO QUASH THE ORDER/SHOW CAUSE NOTICE DATED 29.04.2015 ISSUED BY R-2 VIDE ANNEXURE-K AND ETC. THIS PETITION COMING ON FOR ORDERS THIS DAY, ACTING CHIEF JUSTICE, MADE THE FOLLOWING: ORDER
The Karnataka State Pollution Control Board (for short 'the Board') has issued a notice dated 29.04.2015 directing the petitioner to show cause as to why action should not be taken against him for operating the Power -3- Loom Unit without obtaining prior consent of the Board as per the provisions of the Air (Prevention and Control of Pollution) Act, 1981 and without adopting proper noise pollution control measures.
2. The petition was filed in the year 2015 and this Court has granted interim order on 14.05.2015.
3. Today, the matter is posted for orders for taking substituted service to the legal representatives of deceased respondent No.3. Learned counsel for the petitioner seeks time to take steps.
4. Since the petition is pending for the last 4 years, after perusing the records, we have taken up the matter for final disposal. By the notice, the petitioner was directed to show cause within 7 days as to why action should not be taken against him. Petitioner has challenged the said show cause notice in this writ petition.
5. After hearing the learned counsel for the parties, we are of the considered view that instead of keeping the matter pending, the petition could be disposed -4- of directing the petitioner to file his detailed reply to the show cause notice within a period of one week from today. If such a reply is filed, the respondents shall consider the same and pass appropriate orders within a period of two weeks thereafter.
Till then, the interim order granted on 14.05.2015 shall continue.
With the above observations, the petition stands disposed of.
Sd/-
ACTING CHIEF JUSTICE Sd/-
JUDGE ca


Sesam
{{.login}}
[ Logout ]
{{if not .isOpen }}
Sorry, the space is closed. You can't open any doors.
{{end}} {{if .isOpen }}
Open OUTER door
Open INNER Glass door
Open INNER Metal door
{{end}}
Door can now be opened...
Error, I can't open the door for you :(


Open Annotations Framework
Description
Callimachus can allow for the simple annotation of any resource (document or image) with a URL via drag and drop
and iFrames. This annotation follows the Open Annotation data model,
via one of six Open Annotation motivations:
- Bookmarking: The most simple type of annotation, saving a Web URL for later reference.
- Tagging: Via plain textual tags or semantic (URL) tags.
- Classification: Association of RDF Concepts with a Web resource.
- Commenting: Arbitrary comments on a Web resource.
- Identifying: Associating one URL with another (e.g. identifying a location with a Wikipedia page for it).
- Highlighting: Saving a selection of text from a Web page and optionally commenting upon it. Highlighting only
works for resources local to Callimachus (for now).
Try creating a new one!
Existing Annotations


See getting started for a complete setup.
Steps to get started:NgbModalModule
(if you're not including NgbModule
)Below is a example of a standard modal opened with a backdrop.
Add modal-aside
class to the modal element together with either modal-aside-right
or modal-aside-left
to get a modal that will slide in from the side.
Ex.
...

Add modal-lg
class to the modal dialogue together with the above classes to get a larger modal that will slide in from the side.
Add modal-fullscreen
class to the modal element to get a fullscreen modal.
Ex.
...

Modal body text goes here.
Modal body text goes here.
The large aside modal will adjust it's width to the width of the content.
Max width = 768px
Min width = 320px


This tests that the DevTools can seamless step out of a Wasm function back into JavaScript.
foo
function in stepping-out-wasm.wasm
module and set a breakpoint on the i32.const 1
linefoo
bar
JavaScript function right onto the console.log
line


--- layout: default title: Odoo Blog ---
This is my Odoo blog. You can learn more about me on my website.
There are quite a few. You can see all of them here.
You can watch a short presentation on Odoo I gave at my workplace. Unfortunately it's in Polish.


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You attempt to interrupt a creature in the process of casting a spell. If the creature is casting a spell of 3rd level or lower, its spell fails and has no effect. If it is casting a spell of 4th level or higher, make an ability check using your spellcasting ability. The DC equals 10 + the spell's level. On a success, the creature's spell fails and has no effect.
At Higher Levels. When you cast this spell using a spell slot of 4th level or higher, the interrupted spell has no effect if its level is less than or equal to the level of the spell slot you used.
P r e c i p i t a t i o n Stage Condition 1 Clear 2 Light clouds 3 Overcast or ground fog 4 Rain, hail, or snow 5 Torrential rain, driving hail, or blizzard T e m p e r a t u r e Stage Condition 1 Unbearable heat 2 Hot 3 Warm 4 Cool 5 Cold 6 Arctic cold W i n d Stage Condition 1 Calm 2 Moderate wind 3 Strong wind 4 Gale 5 Storm


Activity
The Activity component provides Third Party developers with the possibility of sending a stream of custom events at the CSS or CIS level. The APIs that have been defined so far are a subset of the Open Social Core API Server specification.
The interface org.societies.api.activity.IActivity is a simple provided interface that Service Activities instances have to implement in order for the SOCIETIES framework to be able to deal with them appropriately:
public interface IActivity {
public Long getId();
public void setId(Long id);
public String getVerb();
public void setVerb(String verb);
public String getActor();
public void setActor(String actor);
public String getObject();
public void setObject(String object);
public String getTarget();
public void setTarget(String target);
public String getPublished();
public void setPublished(String published);
}
On the other hand, the org.societies.api.activity.IActivityFeed interface formalizes the Activity Feed management service that is provided by SOCIETIES Nodes:
public interface IActivityFeed {
/**
* This method will parse a timeperiod and return a subset of the activities
* in this activityfeed that is within the given timeperiod
*
* @param timeperiod can be: "millisecondssinceepoch millisecondssinceepoch+n"
* @return a List of Iactivity or a empty list if the parameters are wrong or the
* timeperiod did not match any activities
*/
public List getActivities(String timePeriod);
/**
* This method will parse a query and a timeperiod and return a subset of the activities
* in this activityfeed that matches the query constraints and is within the given
* timeperiod
* @return a List of IActivity or a empty list if the parameters are wrong or the query and/or timeperiod did not match any activities
*/
public List getActivities(String query, String timePeriod);
/**
* This method will add a activity and post it on the associated pubsub service.
*
* @param {@link IActivity} activity, the activity that will be added.
*/
public void addCisActivity(IActivity activity);
/**
* This method will parse a criteria and delete the activities that match the criteria
*
* @param criteria which has the same definition as the query of "getActivities(String query.."
* @return {@link int} number of deleted activities.
*/
public int cleanupFeed(String criteria);
/**
*
*
* @param IActivty activity the activity that should be deleted.
* @return boolean true if the the activity was found and deleted, false if not.
*/
public boolean deleteActivity(IActivity activity);
/**
*
* @param List of ActivityEntry as used by the social data connector, and implemented by shindig.
* @return long number of entries successfully imported
*/
public long importActivityEntries(List> activityEntries);
}
The "query" input parameter syntax (for the getActivities and cleanupFeed methods) is defined as per OpenSocial Query Specs but with one addition: the Query String should be a JSON-compliant String that is structured as follows:
{
...
"filterBy" : "name",
"filterOp" : "startsWith",
"filterValue" : "John"
...
}
Thus it needs to contain the keys (and their corresponding values) "filterBy", "filterOp" and "filterValue" (the last one can have a empty value given certain filterOps, see below)
Filter operators are those specified as values for the "filterOp" key. The operation to use when filtering a collection by a field specified in 'filterBy', defaults to "contains".
Valid operation values are:
- contains Returns elements where filterValue appears somewhere in the element's filterBy field value.
- equals Returns elements where filterValue exactly matches the element's filterBy field value.
- startsWith Returns elements where filterValue exactly matches the first N characters of the element's filterBy field value, where N is the length of the filterValue string.
- present Returns elements where the element's filterBy field value is not empty or null.
- isNull is the exact opposite of "present", NOTE: this is in addition to the OpenSocial specification.
The last two filter operators do not need to have a value set for the corresponding "filterValue" key.


Variants as presented in section 1.4 are a powerful tool to build data structures and algorithms. However they sometimes lack flexibility when used in modular programming. This is due to the fact that every constructor is assigned to a unique type when defined and used. Even if the same name appears in the definition of multiple types, the constructor itself belongs to only one type. Therefore, one cannot decide that a given constructor belongs to multiple types, or consider a value of some type to belong to some other type with more constructors.
With polymorphic variants, this original assumption is removed. That is, a variant tag does not belong to any type in particular, the type system will just check that it is an admissible value according to its use. You need not define a type before using a variant tag. A variant type will be inferred independently for each of its uses.
In programs, polymorphic variants work like usual ones. You just have to prefix their names with a backquote character `.
[>`Off|`On] list means that to match this list, you should at least be able to match `Off and `On, without argument. [<`On|`Off|`Number of int] means that f may be applied to `Off, `On (both without argument), or `Number n where n is an integer. The > and < inside the variant types show that they may still be refined, either by defining more tags or by allowing less. As such, they contain an implicit type variable. Because each of the variant types appears only once in the whole type, their implicit type variables are not shown.
The above variant types were polymorphic, allowing further refinement. When writing type annotations, one will most often describe fixed variant types, that is types that cannot be refined. This is also the case for type abbreviations. Such types do not contain < or >, but just an enumeration of the tags and their associated types, just like in a normal datatype definition.
Type-checking polymorphic variants is a subtle thing, and some expressions may result in more complex type information.
Here we are seeing two phenomena. First, since this matching is open (the last case catches any tag), we obtain the type [> `A | `B] rather than [< `A | `B] in a closed matching. Then, since x is returned as is, input and return types are identical. The notation as 'a denotes such type sharing. If we apply f to yet another tag `E, it gets added to the list.
Here f1 and f2 both accept the variant tags `A and `B, but the argument of `A is int for f1 and string for f2. In f’s type `C, only accepted by f1, disappears, but both argument types appear for `A as int & string. This means that if we pass the variant tag `A to f, its argument should be both int and string. Since there is no such value, f cannot be applied to `A, and `B is the only accepted input.
Even if a value has a fixed variant type, one can still give it a larger type through coercions. Coercions are normally written with both the source type and the destination type, but in simple cases the source type may be omitted.
You may also selectively coerce values through pattern matching.
When an or-pattern composed of variant tags is wrapped inside an alias-pattern, the alias is given a type containing only the tags enumerated in the or-pattern. This allows for many useful idioms, like incremental definition of functions.
To make this even more comfortable, you may use type definitions as abbreviations for or-patterns. That is, if you have defined type myvariant = [`Tag1 of int | `Tag2 of bool], then the pattern #myvariant is equivalent to writing (`Tag1(_ : int) | `Tag2(_ : bool)).
Such abbreviations may be used alone,
or combined with with aliases.
After seeing the power of polymorphic variants, one may wonder why they were added to core language variants, rather than replacing them.
The answer is twofold. One first aspect is that while being pretty efficient, the lack of static type information allows for less optimizations, and makes polymorphic variants slightly heavier than core language ones. However noticeable differences would only appear on huge data structures.
More important is the fact that polymorphic variants, while being type-safe, result in a weaker type discipline. That is, core language variants do actually much more than ensuring type-safety, they also check that you use only declared constructors, that all constructors present in a data-structure are compatible, and they enforce typing constraints to their parameters.
For this reason, you must be more careful about making types explicit when you use polymorphic variants. When you write a library, this is easy since you can describe exact types in interfaces, but for simple programs you are probably better off with core language variants.
Beware also that some idioms make trivial errors very hard to find. For instance, the following code is probably wrong but the compiler has no way to see it.
You can avoid such risks by annotating the definition itself.


A wall of water springs into existence at a point you choose within range. You can make the wall up to 300 feet long, 300 feet high, and 50 feet thick. The wall lasts for the duration.
When the wall appears, each creature within its area must make a Strength saving throw. On a failed save, a creature takes 6 d10 bludgeoning damage, or half as much damage on a successful save.
At the start of each of your turns after the wall appears, the wall, along with any creatures in it, moves 50 feet away from you. Any Huge or smaller creature inside the wall or whose space the wall enters when it moves must succeed on a Strength saving throw or take 5 d10 bludgeoning damage. A creature can take this damage only once per round. At the end of the turn, the wall's height is reduced by 50 feet, and the damage creatures take from the spell on subsequent rounds is reduced by 1d10. When the wall reaches 0 feet in height, the spell ends.
A creature caught in the wall can move by swimming.
Because of the force of the wave, though, the creature must make a successful Strength (Athletics) check against your spell save DC in order to move at all. If it fails the check, it can't move. A creature that moves out of the area falls to the ground.


--- layout: default title: Coinomi - Free, Secure, Open-Source, Multi-Coin, HD Wallet for Bitcoin and Altcoins customjs: - /js/smooth_transition.js ---
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