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You would like to develop a program to estimate the production output of a semiconductor manufacturing line.
The manufacturing line consists of N steps and has one warehouse.
[Fig. 1] below shows a semiconductor manufacturing line that is made of total 3 steps and a warehouse.
In the course of production (i.e. the 3 steps) and at the warehouse, semiconductors are carried, processed and transported in the unit called ¡®lot¡¯.
The manufacturing line illustrated in [Fig. 1] has 8 lots.
[Fig. 1]
Strictly by the production plan, raw materials are brought to Step#0 on an irregular basis and stand by there.
The production completes when the lot of semiconductors is processed in all the N steps of the manufacturing line, in order from Step#0, Step#1, ¡¦, to Step#N-1.
In other words, only after the lot of semiconductors is processed in the final Step#N-1, it can be transported to the warehouse.
Each step has at least one tool.
Each tool can be assigned to only one step.
In [Fig. 1], there are 2 tools in Step#2 (i.e. Tool#1, Tool#5).
Each tool can process only ONE lot of semiconductors.
In other words, while one lot of semiconductors is being processed by a tool, another lot of semiconductors CANNOT be processed by that tool.
In the manufacturing line illustrated in [Fig. 1], the both tools in Step#2 are processing one lot of semiconductors each (i.e. Lot#B, Lot#C).
Therefore until this process is done, Lot#E must stand by in Step#2.
Also note that the lot of semiconductors being processed CANNOT be moved to the other place until the current process completes.
Each tool has different performance, so they can vary in the amount of time required to process a single lot of semiconductors (Process Time, PT).
The lot of semiconductors processed by a tool in one step is transported to the next.
And depending on the condition of the tool in the next step, one of the following scenarios takes place:
1) Transported to the next step and immediately processed there if there is an available tool (i.e. the tool that is not processing anything).
If the tool in the next step has completed the processing of the previously assigned lot upon the arrival of a new lot, it is considered available.
2) Transported to the step after next and stands by there if there is no available tool in the next step.
In this case, it should wait until any one of the tools completes the processing of the other lots.
When such time arises, it should be transported to and processed by that tool.
In order to most efficiently utilize the process capability of each tool,
a lot should be transported to and processed by the tool with the shortest PT
if there are more than 1 available tool in the next step
The transportation time of lots is set 0 given that it is extremely short compared to the processing time.
e.g.
Transported to Tool#1 tool while standing by in Step#2;
Transported to Step#2 to stand by;
Transported from Tool#0 in Step#0 to Tool#2 in Step#1;
Transported from Tool#5 in the final step to the warehouse; etc
Given that the semiconductor manufacturing line is run under the above condition, write a program that estimates and returns
the total number of lots standing by AND being processed in each step of the manufacturing line,
and the number of lots stored in the warehouse.
The following are the API to be implemented.
¡Ø The function signature below is based on C/C++. As for Java, refer to the provided Solution.java and UserSolution.java.
void init(int N)
A function called once in the beginning of each test case for initialization and it tells the total number of steps.
Parameters
N: Number of steps (3 ¡Â N ¡Â 100)
void setupTool(int T, int stepNo[5000], int procTime[5000])
A function called once in the beginning of each test case after init call.
It tells the total number of tools, plus the step number (Step#) and the process time of each tool. The number of tools in each step in a test case varies.
Parameters
T: Total number of tools in every step (3 ¡Â T ¡Â 5,000)
stepNo: Array of ¡°Step#¡±s assigned to each tool; its length is T (0 ¡Â ¡°Step#¡± < N)
procTime: Array of PT of each tool; its length is T (5 ¡Â PT ¡Â 6,000)
¡Ø stepNo and procTime both use the parameters from 0 to T-1.
void addLot(int time, int number)
A function that adds ¡°number¡± of lots to Step#0 upon ¡°time¡± point.
Parameters
time: Timestamp of the point when the lot is added to Step#0 (0 ¡Â time ¡Â 100,000)
number: Number of lots added to Step#0
int simulate(int time, int wip[100])
A function that counts the number of lots standing by or being processed in each of N steps from Step#0 to Step#N-1 to store it in the wip array and then returns the number of lots stored in the warehouse.
Parameters
time: Timestamp of the point when the number of lots in the manufacturing line and in the warehouse is estimated (0 ¡Â time ¡Â 100,000).
wip: Stores and returns the number of lots in each step of the manufacturing line.
The number of lots in each step refers to the total number of lots standing by and being processed.
The number of lots in Step#0 is stored in wip[0].
The number of lots in Step#N-1 is stored in wip[N-1].
Since wip[N] and the results following it are not evaluated in the test, you do not need to store them.
Return
The number of lots stored in the warehouse
¡Ø As for the lot processed completely at the point of time when this function is called, you should return the information about its condition, either standing by for the next step or being transported to the tool, as wip array and return value.
[Table 1]
[Example]
Let¡¯s take a look at the case where the functions are called as in [Table 2] below.
Order
Function
Return Value
Figure
1
init (N=3)
2
setupTool(T=6, stepNo={0, 2, 1, 1, 0, 2},
procTime={50, 60, 60, 40, 70, 60})
3
addLot(time=0, number=3)
[Fig. 2]
[Fig. 3]
4
simulate(time=70, wip[ ])
return=0, wip[ ]={1, 2, 0, ¡¦}
[Fig. 4]
5
addLot(time=90, number=3)
[Fig. 5]
6
simulate(time=100, wip[ ])
return=0, wip[ ]={3, 2, 1, ¡¦}
[Fig. 6]
7
simulate(time=140, wip[ ])
return=0, wip[ ]={3, 0, 3, ¡¦}
[Fig. 7]
8
simulate(time=150, wip[ ])
return=1, wip[ ]={2, 1, 2, ¡¦}
[Fig. 8]
[Table 2]
There are 3 steps and 6 tools.
Those 6 tools are installed in the steps from Step#0 to Step#2.
When 3 lots, Lot(A, B, C), are added to Step#0 at time0, the two lots start being processed by Tool#0 and Tool#4.
One lot stands by as there is no available tool. [Fig. 2] below illustrates this scenario
.
[Fig. 2]
As PT of Tool#0 is 50, Lot#A is transported to Step#1 at Time50.
Among the available tools, Tool#3 has the shortest PT, so Lot#A gets processed by Tool#3.
At the same time, Lot#C gets processed by Tool#0.
[Fig. 3]
At Time70, Lot#B completely processed by Tool#4 gets processed by Tool#2 in Step#1.
Therefore, the number of lots in each of Step#0, Step#1 and Step#2 of the manufacturing line,
plus in the warehouse at Time70 is 1, 2, 0, and 0, respectively (refer to [Fig. 4]).
[Fig. 4]
At Time90, Lot#A processed completely by Tool#3 in Step#1 is transported to Step#2 and then starts being processed by available Tool#1.
At the same time, 3 lots of Lot(D, E, F) are added to Step#0.
Tool#4 that has not been processing any lot starts processing Lot#D.
[Fig. 5]
Lot#C processed completely by Tool#0 at Time100 is transported to Step#1 and gets processed by Tool#3.
Lot#E that has been standing by in Step#0 starts being processed by Tool#0 that is now available.
[Fig. 6]
Lot#B processed completely by Tool#2 at Time130 is transported to Step#2 and gets processed by Tool#5.
Lot#C processed completely by Tool#3 at Time140 is transported to Step#2 and stands by there.
Therefore, the number of lots in each of Step#0, Step#1 and Step#2 of the manufacturing line,
plus in the warehouse at Time140 is 3, 0, 3, and 0, respectively (refer to [Fig. 7]).
[Fig. 7]
At Time150, Lot#A is processed completely by Tool#1 and transported to the warehouse.
At the same time, Lot#C that has been standing by in Step#2 gets processed by Tool#1.
Lot#E completely processed by Tool#0 gets processed by Tool#3, which has the shortest PT in Step#1.
Lot#F that has been standing by in Step#0 gets processed by Tool#0.
Therefore, the number of lots in each of Step#0, Step#1 and Step#2 of the manufacturing line,
plus in the inventory warehouse at Time150 is 2, 1, 2, and 1, respectively (refer to [Fig. 8]).
[Fig. 8]
[Constraints]
1. The number of steps in the manufacturing line, N, is greater than or equal to 3, but not over 100. (3 ¡Â N ¡Â 100)
2. In each test case, setupTool( ) is called only ONCE after init( ) is called.
3. Each step has at least 1 tool, but no more than 50.
4. The lot of semiconductors is processed in ascending order of step numbers (you may NOT change the process order).
5. The total number of lots does NOT exceed 100,000.
6. When there are 2 or more available tools, choose the tool with the shortest PT.
7. addLot( ) and simulate( ) are NEVER called with same ¡°time¡± point.
The time of addLot( ) and simulate( ) is an ascending number.
8. If the tool has completed the lot processing at the time when the simulate( ) is called,
you should return the result at the point after the lot is transported to the next step.
9. In each test case, only up to 1,000 calls can be made for all functions combined.
//main
#ifndef _CRT_SECURE_NO_WARNINGS
#define _CRT_SECURE_NO_WARNINGS
#endif
#include<stdio.h>
#define MAX_N 100
#define MAX_TOOL 50
#define ENDCASE 0
#define ADDLOT 1
#define SIMUL 2
extern void init(int N);
extern void setupTool(int T, int stepNo[5000], int procTime[5000]);
extern void addLot(int time, int number);
extern int simulate(int time, int wip[MAX_N]);
static int run() {
int totalStep = 0, totalTool = 0, stepID[MAX_N * MAX_TOOL], procTime[MAX_N * MAX_TOOL];
int event, time, number;
int userOut, userWip[MAX_N], resultOut, resultWip[MAX_N];
int score = 100;
for (int j = 0; j < MAX_N; j++) {
userWip[j] = resultWip[j] = 0;
}
scanf("%d %d", &totalStep, &totalTool);
init(totalStep);
for (register int i = 0; i < totalTool; i++) {
scanf("%d %d", stepID+i, procTime+i);
}
setupTool(totalTool, stepID, procTime);
while (1) {
scanf("%d", &event);
if (event == ADDLOT) {
scanf("%d %d", &time, &number);
addLot(time, number);
}
else if (event == SIMUL) {
scanf("%d", &time);
for (int j = 0; j < totalStep; j++) {
userWip[j] = 0;
scanf("%d", &resultWip[j]);
}
scanf("%d", &resultOut);
userOut = simulate(time, userWip);
for (int j = 0; j < totalStep; j++) {
if (userWip[j] != resultWip[j]) {
score = 0;
break;
}
}
if (userOut != resultOut) {
score = 0;
}
}
else {
return score;
}
}
return score;
}
int main() {
setbuf(stdout, NULL);
int TestCase;
//freopen("sample_input.txt", "r", stdin);
scanf("%d", &TestCase);
for (int t = 1; t <= TestCase; ++t)
printf("#%d %d\n", t, run());
return 0;
}
//user
#define MAX_N 100
#define MAX_TOOL 50
void init(int N) {
}
void setupTool(int T, int stepNo[5000], int procTime[5000]) {
}
void addLot(int time, int number) {
}
int simulate(int time, int wip[MAX_N]) {
return 0;
}
//
10
3 6 0 50 0 70 1 60 1 40 2 60 2 60
1 0 3
2 70 1 2 0 0
1 90 3
2 100 3 2 1 0
2 140 3 0 3 0
2 150 2 1 2 1
0
5 16 0 55 0 65 0 70 1 90 1 85 1 90 1 90 2 65 2 70 2 60 3 35 3 40 4 85 4 90 4 90 4 90
1 0 3
1 69 9
1 276 3
1 345 9
2 552 1 4 3 2 4 10
0
7 20 1 105 0 70 1 110 6 110 1 110 0 65 1 105 1 110 2 65 2 55 6 110 3 35 3 35 4 20 5 20 6 120 6 105 2 60 6 110 0 65
1 0 9
1 207 3
1 276 9
1 483 3
1 552 9
1 759 3
2 828 1 5 4 0 2 1 5 18
0
10 58 0 170 0 170 0 170 0 165 5 170 6 265 1 200 1 210 1 200 1 210 5 165 2 125 2 130 6 270 9 170 3 270 3 270 3 265 3 270 3 280 3 270 4 170 7 140 9 165 4 170 4 170 3 270 4 170 5 170 1 205 5 180 5 180 6 270 6 270 2 130 6 280 1 195 0 170 6 270 6 280 6 270 7 135 7 125 8 270 7 130 8 270 8 270 3 270 8 270 8 270 8 270 8 270 8 275 2 135 9 180 9 170 9 165 4 170
1 0 5
1 170 15
2 505 9 6 2 3 0 0 0 0 0 0 0
1 680 20
2 1205 5 10 3 9 4 5 4 0 0 0 0
1 1360 5
1 1530 15
1 2040 5
1 2210 15
2 2720 0 10 5 7 6 5 9 3 8 5 22
0
10 23 3 30 0 20 4 30 1 30 1 35 2 30 2 25 2 30 7 10 0 20 1 30 4 30 4 30 5 30 5 30 5 30 6 30 6 30 6 30 3 20 8 10 9 30 9 20
1 0 4
1 52 8
1 156 4
2 186 2 2 2 3 2 2 2 1 0 0 0
1 208 6
2 273 0 4 2 2 2 3 2 1 1 1 4
1 286 8
1 390 4
1 442 8
1 546 4
1 598 8
1 702 4
2 717 4 1 3 2 2 3 2 0 1 3 37
1 754 6
2 789 4 2 2 3 2 2 3 0 1 2 43
1 832 8
2 852 6 3 3 2 2 3 2 0 1 3 47
1 936 2
1 962 6
2 1027 0 4 2 2 2 3 2 1 1 2 61
1 1040 8
2 1090 4 3 2 2 3 2 2 1 1 2 66
1 1144 2
1 1170 6
1 1248 2
1 1274 6
1 1352 2
1 1378 6
2 1433 2 2 2 3 2 2 3 1 1 2 92
1 1456 8
1 1560 4
1 1612 8
1 1716 4
2 1741 2 3 2 2 3 1 3 1 0 2 117
1 1768 6
1 1846 2
1 1872 6
1 1950 2
1 1976 6
1 2054 2
1 2080 6
1 2158 2
1 2184 6
1 2262 2
2 2277 2 2 2 3 2 2 2 1 1 1 158
1 2288 4
1 2340 8
2 2365 6 3 2 3 2 2 3 0 1 2 164
1 2444 2
1 2470 6
2 2515 2 4 2 2 2 3 2 0 1 3 175
1 2548 8
2 2588 4 4 2 2 2 2 3 1 1 2 181
1 2652 2
1 2678 6
1 2756 2
2 2771 2 2 2 3 2 2 2 1 1 1 196
1 2782 4
1 2834 8
2 2849 8 2 2 2 2 3 2 1 1 1 202
1 2938 2
1 2964 6
2 2989 4 2 3 2 2 2 3 1 1 2 212
1 3042 8
2 3102 2 4 2 3 2 2 3 0 1 3 220
1 3146 2
2 3161 2 1 3 2 2 3 2 1 0 3 225
1 3172 4
2 3202 2 2 2 3 2 3 1 2 0 3 228
1 3224 6
1 3302 2
1 3328 6
1 3406 2
1 3432 6
1 3510 2
2 3525 2 2 2 2 2 2 3 1 1 1 254
1 3536 4
1 3588 8
1 3692 4
1 3744 8
1 3848 4
2 3893 0 4 1 2 3 2 2 1 1 2 282
1 3900 6
1 3978 2
1 4004 6
1 4082 2
2 4097 2 1 3 2 2 3 2 1 1 2 297
1 4108 4
1 4160 8
1 4264 4
1 4316 8
2 4346 6 2 2 3 2 3 2 1 1 2 316
1 4420 2
1 4446 6
2 4471 4 2 3 2 2 2 3 1 1 2 326
1 4524 8
2 4569 4 4 2 1 3 2 3 1 1 1 334
1 4628 2
1 4654 6
1 4732 2
1 4758 6
2 4813 2 2 3 2 2 2 2 2 0 2 353
1 4836 8
1 4940 4
1 4992 8
2 5067 2 3 2 2 3 1 3 1 1 2 372
1 5096 2
1 5122 6
1 5200 2
1 5226 6
1 5304 2
2 5319 2 1 3 2 2 3 2 1 0 3 391
1 5330 4
2 5345 4 2 2 2 2 3 2 1 1 2 393
1 5382 6
1 5460 2
1 5486 6
1 5564 2
2 5579 2 1 3 3 2 2 3 0 1 2 411
1 5590 4
2 5635 0 4 2 2 2 3 2 0 1 3 415
1 5642 6
1 5720 2
1 5746 6
2 5781 4 2 2 3 2 2 2 1 1 2 427
1 5824 8
1 5928 4
1 5980 8
1 6084 4
2 6099 4 1 3 2 2 2 2 1 1 2 452
1 6136 6
1 6214 2
1 6240 6
2 6275 4 2 2 3 2 2 2 1 1 2 465
1 6318 8
1 6422 4
1 6474 8
1 6578 4
1 6630 8
1 6734 4
1 6786 8
1 6890 4
1 6942 8
2 6957 8 2 2 2 3 2 2 0 1 3 517
1 7046 2
1 7072 6
1 7150 2
2 7165 2 2 2 2 2 3 2 1 1 1 534
1 7176 4
2 7181 4 2 2 3 1 3 2 2 0 2 535
1 7228 6
2 7243 6 2 2 2 3 2 1 2 0 2 540
1 7306 8
1 7410 4
1 7462 8
1 7566 4
2 7596 2 2 2 3 3 1 2 2 0 2 567
1 7618 6
1 7696 2
2 7711 2 2 2 2 3 2 2 0 1 3 575
1 7722 4
1 7774 8
2 7849 2 3 2 2 2 3 2 1 1 2 586
1 7878 2
1 7904 6
2 7909 6 2 1 3 3 2 2 2 0 2 591
1 7982 8
2 8002 6 3 3 2 2 1 3 1 1 2 598
1 8086 2
1 8112 6
1 8190 2
1 8216 6
1 8294 2
1 8320 6
2 8365 2 4 2 1 3 2 3 1 1 2 625
1 8398 8
1 8502 4
2 8507 4 2 2 2 3 2 3 1 0 2 637
1 8554 6
2 8559 6 2 2 3 2 3 2 1 1 2 640
1 8632 8
2 8717 0 4 2 3 2 2 2 1 1 1 654
1 8736 2
1 8762 6
1 8840 2
1 8866 6
1 8944 2
1 8970 6
1 9048 2
1 9074 6
1 9152 2
1 9178 6
1 9256 2
1 9282 6
1 9360 2
2 9375 2 1 3 2 2 3 2 1 1 1 704
1 9386 4
1 9438 8
2 9478 4 4 2 2 2 3 2 1 1 2 711
1 9542 2
1 9568 6
1 9646 2
1 9672 6
1 9750 2
1 9776 6
1 9854 2
2 9869 2 2 2 3 2 2 2 1 1 1 742
1 9880 4
1 9932 8
1 10036 4
1 10088 8
2 10123 6 2 2 2 2 3 2 2 0 2 761
1 10192 2
1 10218 6
1 10296 2
1 10322 6
2 10327 6 2 2 3 1 3 2 2 0 2 777
2 10400 0 3 2 3 1 2 3 1 1 2 782
0
31 152 19 225 7 50 0 130 20 70 29 180 1 95 1 100 1 95 1 95 2 60 16 65 29 180 28 135 12 180 3 125 3 140 4 45 4 50 3 125 10 205 5 145 5 160 5 150 5 145 6 205 0 130 6 195 6 200 6 200 6 210 6 200 22 55 0 130 7 50 8 130 8 125 8 125 16 70 8 130 9 180 13 175 9 180 9 185 29 190 9 180 9 180 10 205 26 20 17 185 10 200 12 175 10 200 10 205 10 195 11 20 12 185 12 190 27 240 5 150 12 180 3 125 12 180 19 230 30 80 13 180 9 180 13 175 13 180 14 230 8 130 25 145 14 230 14 225 14 230 28 130 14 230 14 230 0 130 15 130 15 130 15 125 15 130 15 140 2 50 16 70 13 180 17 180 17 180 17 180 19 230 17 180 17 180 17 180 18 70 18 65 14 230 25 150 10 200 19 225 19 225 19 230 19 230 19 230 13 180 19 225 20 70 0 130 20 70 24 210 25 150 29 180 23 45 24 195 23 55 24 200 24 195 24 200 28 130 24 200 24 195 24 195 6 200 25 150 25 150 22 50 25 160 18 70 13 180 27 230 27 225 27 225 27 230 27 225 27 230 27 240 27 235 12 175 28 125 28 125 14 240 21 20 3 130 6 210 29 180 29 175 29 185 9 175 5 150 14 230 30 70 10 200 30 75
1 0 10
1 260 20
1 780 10
2 1010 5 3 5 4 2 5 7 2 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 1040 15
2 1335 5 6 4 5 2 6 7 2 5 6 6 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 1430 20
1 1950 10
1 2210 20
1 2730 10
2 2880 5 7 7 5 1 6 8 1 5 7 7 1 7 6 8 5 3 6 3 8 2 1 2 1 3 0 0 0 0 0 0 0
1 2990 15
2 3345 5 4 8 5 1 5 9 2 4 7 7 1 7 6 9 5 2 7 2 8 3 1 2 2 7 5 0 6 0 0 0 0
1 3380 20
1 3900 10
2 4160 0 7 10 4 2 6 7 2 5 7 7 1 6 7 9 4 4 6 2 9 2 1 2 2 7 6 1 8 5 6 2 13
0
22 173 0 65 0 60 0 60 1 110 1 110 21 270 1 110 9 285 2 195 2 200 2 200 19 360 2 200 2 200 2 200 2 200 2 200 3 90 3 95 3 90 3 90 4 100 4 90 17 110 4 90 5 20 6 100 11 250 6 90 11 260 7 270 7 275 1 105 7 275 7 270 7 270 21 270 18 270 7 270 7 275 9 285 7 265 8 230 19 365 8 230 16 200 19 360 8 225 17 105 8 230 17 115 21 270 9 285 9 295 9 290 10 200 7 270 7 270 9 300 9 295 9 290 9 290 9 290 9 295 9 300 10 200 10 200 6 90 10 200 10 205 10 200 10 200 10 200 2 200 11 245 11 250 18 270 21 270 11 245 11 250 11 245 11 250 11 250 19 355 16 210 12 275 12 270 12 265 16 210 12 270 12 270 12 280 7 270 12 270 12 270 12 270 8 230 18 265 13 180 13 180 13 180 11 255 13 180 13 175 11 250 14 85 14 90 14 90 19 355 15 110 1 110 15 110 15 105 15 110 16 200 16 195 8 230 9 290 16 200 16 200 18 270 18 265 12 270 8 230 8 230 17 110 4 90 17 115 18 270 18 265 18 265 13 180 16 200 18 270 12 265 18 265 19 360 18 275 13 190 18 270 19 355 19 360 19 370 6 95 12 280 19 365 19 360 16 200 19 355 14 90 10 200 19 355 19 360 8 230 8 230 19 360 20 120 20 110 20 110 20 110 20 120 21 270 21 270 7 265 15 110 21 270 21 280 13 180 21 265 19 360 21 270 21 270 21 270
1 0 3
1 69 9
1 276 3
1 345 9
1 552 3
1 621 9
1 828 3
1 897 9
1 1104 3
1 1173 9
1 1380 3
1 1449 9
1 1656 3
2 1691 3 4 9 5 4 2 3 12 10 13 7 3 0 0 0 0 0 0 0 0 0 0 0
1 1725 6
1 1863 12
1 2139 6
1 2277 12
1 2553 6
2 2653 3 5 8 5 5 1 5 12 10 12 9 11 10 8 4 4 5 0 0 0 0 0 0
1 2691 9
1 2898 3
1 2967 9
1 3174 3
1 3243 9
1 3450 3
2 3505 3 4 9 4 5 1 5 12 11 12 8 11 12 8 4 4 8 5 11 13 3 0 0
1 3519 6
2 3609 3 6 8 4 6 1 5 12 10 13 9 10 12 7 5 4 8 5 11 15 3 2 0
1 3657 9
1 3864 3
2 3879 3 6 9 3 6 1 6 11 11 12 9 10 12 8 4 5 9 4 11 15 5 9 2
1 3933 6
1 4071 12
2 4301 3 5 10 3 6 1 6 12 9 12 9 11 12 8 4 4 10 4 12 14 5 11 18
1 4347 3
1 4416 9
1 4623 3
2 4678 3 4 8 5 5 1 7 11 10 13 8 11 12 8 4 4 9 6 11 15 5 10 34
1 4692 6
2 4722 6 4 10 4 6 0 6 12 11 12 9 10 11 9 4 4 10 4 12 15 4 13 34
1 4830 9
1 5037 3
1 5106 9
2 5291 1 6 9 5 5 1 6 12 10 13 8 11 11 8 5 4 9 5 11 16 4 12 59
1 5313 12
2 5323 12 6 8 5 6 0 7 12 9 13 9 11 12 7 4 5 8 5 12 15 6 11 60
1 5589 3
1 5658 9
1 5865 3
2 5880 3 6 8 5 5 1 8 11 10 12 9 11 11 8 4 5 9 4 12 15 6 11 84
1 5934 6
1 6072 12
2 6152 9 6 9 4 5 2 7 12 9 12 10 10 12 8 3 6 8 5 11 16 5 12 95
1 6348 3
2 6403 3 4 9 4 6 1 7 11 10 13 9 11 11 8 4 5 8 5 12 15 5 12 106
1 6417 6
2 6517 3 6 7 5 6 1 7 12 10 12 9 10 12 8 4 4 10 4 12 15 5 12 111
1 6555 9
1 6762 3
1 6831 9
1 7038 3
1 7107 9
1 7314 3
1 7383 9
1 7590 3
1 7659 9
1 7866 3
2 7881 3 6 9 4 5 2 8 11 10 13 8 12 11 7 4 5 10 4 12 15 5 12 169
1 7935 6
2 8065 0 6 9 5 5 2 8 11 10 13 9 10 12 8 4 5 8 5 12 16 4 12 177
1 8073 9
1 8280 3
1 8349 9
1 8556 3
1 8625 9
1 8832 3
1 8901 9
1 9108 3
1 9177 9
1 9384 3
1 9453 9
1 9660 3
1 9729 9
1 9936 3
1 10005 9
1 10212 3
1 10281 9
1 10488 3
2 10523 3 4 9 5 6 1 9 12 11 12 9 10 12 7 5 4 9 6 11 15 5 12 282
1 10557 6
2 10657 3 5 8 5 6 2 10 11 9 13 9 11 11 8 4 5 8 6 11 15 6 11 288
1 10695 9
1 10902 3
1 10971 9
1 11178 3
2 11213 3 4 9 6 5 1 10 12 10 13 8 10 12 9 3 5 9 5 11 16 4 13 311
1 11247 6
1 11385 12
2 11495 9 4 9 5 6 1 10 12 10 13 8 11 11 8 5 4 9 4 12 16 5 11 324
1 11661 3
1 11730 9
1 11937 3
1 12006 9
1 12213 3
1 12282 9
1 12489 3
1 12558 9
2 12563 9 6 9 4 6 2 11 11 10 12 9 11 13 7 4 4 9 4 12 16 5 12 369
1 12765 12
1 13041 6
1 13179 12
2 13309 6 7 8 5 6 1 12 12 10 12 9 11 11 9 3 5 8 5 11 16 5 12 401
1 13455 3
1 13524 9
1 13731 3
1 13800 9
1 14007 3
1 14076 9
1 14283 3
1 14352 9
2 14357 9 6 9 5 6 1 12 12 9 13 9 10 12 8 4 5 9 5 11 16 4 12 446
1 14559 12
1 14835 6
1 14973 12
1 15249 6
2 15299 6 4 9 5 6 1 12 12 11 12 8 11 12 8 4 5 9 4 11 16 5 12 486
1 15387 9
2 15452 6 6 10 3 7 2 12 12 10 13 8 11 11 8 4 5 8 5 12 15 5 12 493
1 15594 12
2 15634 12 4 9 4 8 1 12 12 10 13 8 11 12 7 4 5 9 4 12 16 5 12 500
1 15870 3
1 15939 9
1 16146 3
1 16215 9
2 16300 6 6 9 3 8 1 12 12 10 13 8 11 12 8 4 4 9 6 11 15 4 13 529
1 16422 12
1 16698 6
1 16836 12
1 17112 6
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1 39270 68
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1 44319 34
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1 56661 68
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1 63393 68
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1245 24 1965 11 1890 92 1290 92 1290 92 1290 92 1290 92 1290 81 2055 82 1970 42 1370 10 2020 49 2060 93 640 93 640 15 1970 82 1965 93 650 93 635 93 650 93 640 8 1885 93 635 10 2030 93 635 76 1970 94 1930 24 1970 94 1935 94 1930 94 1930 94 1930 13 1980 94 1930 94 1925 32 1290 94 1925 94 1930 94 1930 94 1930 94 1935 94 1925 94 1930 94 1930 94 1930 33 2025 20 635 94 1930 94 1935 98 1925 69 1290 94 1925 94 1930 23 1925 94 1925 94 1940 94 1930 94 1940 94 1925 9 635 94 1935 99 600 38 2060 94 1930 94 1930 31 635 93 640 98 1930 21 1930 94 1930 96 1970 95 595 95 600 90 1290 95 600 75 1290 95 600 95 600 92 1300 1 1890 95 595 95 600 95 600 68 1930 95 600 23 1935 96 1970 96 1965 96 1970 96 1970 8 1890 96 1965 96 1970 67 1970 96 1975 94 1930 96 1970 25 1930 96 1970 96 1970 96 1975 15 1970 96 1970 72 1965 96 1970 96 1970 96 1970 29 1925 1 1885 96 1970 96 1970 67 1970 81 2060 96 1980 96 1970 12 1285 96 1970 96 1970 55 610 96 1970 43 1890 96 1980 0 1600 96 1980 96 1970 96 1970 5 1930 96 1970 43 1900 52 1925 96 1975 97 1370 97 1370 41 1970 13 1980 83 1240 97 1370 97 1370 97 1370 52 1935 97 1370 97 1365 97 1370 1 1890 72 1970 97 1380 70 1970 97 1370 80 505 1 1890 49 2060 97 1370 4 640 97 1380 35 550 12 1285 42 1370 97 1370 84 600 49 2070 2 675 15 1965 98 1925 98 1940 98 1930 98 1930 98 1925 98 1925 98 1930 91 1200 66 1970 98 1930 81 2055 76 1965 63 1290 98 1930 98 1930 98 1925 6 1290 98 1930 27 560 98 1925 98 1930 40 1930 57 1940 97 1365 98 1925 98 1930 98 1935 70 1970 98 1930 98 1925 98 1930 98 1925 98 1930 98 1940 94 1930 98 1925 98 1930 55 605 98 1930 98 1925 98 1930 98 1925 98 1930 98 1940 82 1970 57 1930 99 600 99 595 99 600 99 600 99 600 99 610 99 600 99 600 34 1250 23 1930 99 600 99 600 27 550 99 600
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1 19092 37
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1 20683 74
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1 28638 37
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1 39775 74
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1 70004 37
1 71595 111
1 76368 37
1 77959 111
1 82732 37
1 84323 111
2 88933 37 46 16 29 16 46 30 18 43 16 48 44 32 45 14 47 16 13 13 14 15 45 14 45 46 45 15 13 15 45 46 14 30 48 28 13 15 28 48 13 45 45 32 44 14 31 13 16 28 48 46 29 45 28 14 14 16 44 31 12 14 45 13 30 14 30 46 44 41 24 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 89096 148
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