A FAMILY of the name of Ambler occupied a farm a Wilderley, near Pulverbatch, and in a little cottage in a neighbouring dale lived an old woman, commonly called "Betty Chidley from the bottom of Betchcot," who was much in the habit of begging at the farmhouse, and generally got what she asked for. One day Betty came on her usual errand, and found the farmer's wife mixing some "supping" for the calves. She watched the good meal and milk stirred together over the fire, took a fancy to it, and begged for a share. Mrs. Ambler, rather vexed, spoke sharply, and refused to give her any.
Betty only said in a meaning tone: "The calves wenna eat the suppin' now."
Little notice was taken of her speech at the time, but when the maid carried out the pail of carefully-prepared "suppin" to the calves, they utterly refused to touch it. Three times over was the attempt made to give it them, but in vain.
Then Betty's ominous words were called to mind, and as quickly as might be she was sent for to the farm, and desired to bless the calves. "Me bless your calves!" she said; "what have I to do with your calves?" but at last she yielded to their entreaties, and said: "My God bless the calves." But the creatures still refused to eat. Then Mrs. Ambler begged her to leave out the word "my."
After much pressure she gave way, and consented to repeat the simple words: "God bless the calves." Mrs. Ambler then herself took the "suppin'" to the hungry calves, and to her delight they came to meet her at the door of their house, and ate their food with hearty appetite. The story has been handed down in the family ever since, and was related to the present writer by a great-grand-daughter of Mr. and Mrs. Ambler, who had it from her great-aunt, one of their daughters.
1 Miss C. S. Burne, Shropshire Folk-Lore, p. 151.


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Useful for visualizing the best solver configuration.
| Solver | Total | Average | Standard Deviation | Problem | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SmallStructure1 | SmallStructure2 | SmallStructure3 | SmallStructure4 | SmallStructure5 | SmallStructure6 | SmallStructure7 | SmallStructure8 | SmallStructure9 | SmallStructure10 | MediumStructure1 | MediumStructure2 | MediumStructure3 | MediumStructure4 | MediumStructure5 | MediumStructure6 | MediumStructure7 | MediumStructure8 | MediumStructure9 | MediumStructure10 | BigStructure1 | BigStructure2 | BigStructure3 | BigStructure4 | BigStructure5 | BigStructure6 | BigStructure7 | BigStructure8 | BigStructure9 | BigStructure10 | ||||
| First Fit 0 | -10hard/0medium/-12506soft | -1hard/0medium/-417soft | 0.81/0.0/1.23 | 0hard/0medium/-227soft 2 | 0hard/0medium/-201soft 0 | 0hard/0medium/-205soft 2 | 0hard/0medium/-241soft 0 | 0hard/0medium/-209soft 2 | 0hard/0medium/-264soft 2 | 0hard/0medium/-212soft 0 | 0hard/0medium/-195soft 0 | 0hard/0medium/-203soft 0 | 0hard/0medium/-240soft 0 | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | -1hard/0medium/-2147483647soft 0 ! | 0hard/0medium/-1092soft 0 | 0hard/0medium/-1046soft 2 | 0hard/0medium/-964soft 0 | 0hard/0medium/-1065soft 2 | 0hard/0medium/-1053soft 2 | 0hard/0medium/-982soft 2 | 0hard/0medium/-1110soft 2 | 0hard/0medium/-1023soft 0 | 0hard/0medium/-1008soft 2 | 0hard/0medium/-976soft 0 |
| First Fit Decreasing 1 | -10hard/-10medium/-12593soft | -1hard/-1medium/-420soft | 0.81/0.81/1.23 | 0hard/0medium/-220soft 0 | 0hard/0medium/-211soft 1 | 0hard/0medium/-195soft 0 | 0hard/0medium/-241soft 0 | 0hard/0medium/-202soft 0 | 0hard/0medium/-261soft 0 | 0hard/0medium/-218soft 1 | 0hard/0medium/-207soft 1 | 0hard/0medium/-203soft 0 | 0hard/0medium/-240soft 0 | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | 0hard/0medium/-1110soft 1 | 0hard/0medium/-1039soft 0 | 0hard/0medium/-1022soft 1 | 0hard/0medium/-1057soft 0 | 0hard/0medium/-1024soft 0 | 0hard/0medium/-960soft 0 | 0hard/0medium/-1093soft 0 | 0hard/0medium/-1072soft 1 | 0hard/0medium/-1003soft 0 | 0hard/0medium/-1025soft 1 |
| Cheapest Insertion 1 | -10hard/-10medium/-12593soft | -1hard/-1medium/-420soft | 0.81/0.81/1.23 | 0hard/0medium/-220soft 0 | 0hard/0medium/-211soft 1 | 0hard/0medium/-195soft 0 | 0hard/0medium/-241soft 0 | 0hard/0medium/-202soft 0 | 0hard/0medium/-261soft 0 | 0hard/0medium/-218soft 1 | 0hard/0medium/-207soft 1 | 0hard/0medium/-203soft 0 | 0hard/0medium/-240soft 0 | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | -1hard/-1medium/-2147483647soft 1 ! | 0hard/0medium/-1110soft 1 | 0hard/0medium/-1039soft 0 | 0hard/0medium/-1022soft 1 | 0hard/0medium/-1057soft 0 | 0hard/0medium/-1024soft 0 | 0hard/0medium/-960soft 0 | 0hard/0medium/-1093soft 0 | 0hard/0medium/-1072soft 1 | 0hard/0medium/-1003soft 0 | 0hard/0medium/-1025soft 1 |
Useful for visualizing the scalability of each solver configuration.
Useful for zooming in on the results of the best score summary.
| Solver | Total | Average | Problem | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SmallStructure1 | SmallStructure2 | SmallStructure3 | SmallStructure4 | SmallStructure5 | SmallStructure6 | SmallStructure7 | SmallStructure8 | SmallStructure9 | SmallStructure10 | MediumStructure1 | MediumStructure2 | MediumStructure3 | MediumStructure4 | MediumStructure5 | MediumStructure6 | MediumStructure7 | MediumStructure8 | MediumStructure9 | MediumStructure10 | BigStructure1 | BigStructure2 | BigStructure3 | BigStructure4 | BigStructure5 | BigStructure6 | BigStructure7 | BigStructure8 | BigStructure9 | BigStructure10 | |||
| First Fit 0 | 0hard/0medium/-115soft | 0hard/0medium/-4soft | 0hard/0medium/-7soft 2 | 0hard/0medium/0soft 0 | 0hard/0medium/-10soft 2 | 0hard/0medium/0soft 0 | 0hard/0medium/-7soft 2 | 0hard/0medium/-3soft 2 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 ! | 0hard/0medium/0soft 0 | 0hard/0medium/-7soft 2 | 0hard/0medium/0soft 0 | 0hard/0medium/-8soft 2 | 0hard/0medium/-29soft 2 | 0hard/0medium/-22soft 2 | 0hard/0medium/-17soft 2 | 0hard/0medium/0soft 0 | 0hard/0medium/-5soft 2 | 0hard/0medium/0soft 0 |
| First Fit Decreasing 1 | 0hard/-10medium/-202soft | 0hard/-1medium/-7soft | 0hard/0medium/0soft 0 | 0hard/0medium/-10soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/-6soft 1 | 0hard/0medium/-12soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/0medium/-18soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/-58soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/-49soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/-49soft 1 |
| Cheapest Insertion 1 | 0hard/-10medium/-202soft | 0hard/-1medium/-7soft | 0hard/0medium/0soft 0 | 0hard/0medium/-10soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/-6soft 1 | 0hard/0medium/-12soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/-1medium/0soft 1 ! | 0hard/0medium/-18soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/-58soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/0soft 0 | 0hard/0medium/-49soft 1 | 0hard/0medium/0soft 0 | 0hard/0medium/-49soft 1 |
Useful for visualizing the return on investment (ROI) to decision makers.
| Solver | Average | Problem | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SmallStructure1 | SmallStructure2 | SmallStructure3 | SmallStructure4 | SmallStructure5 | SmallStructure6 | SmallStructure7 | SmallStructure8 | SmallStructure9 | SmallStructure10 | MediumStructure1 | MediumStructure2 | MediumStructure3 | MediumStructure4 | MediumStructure5 | MediumStructure6 | MediumStructure7 | MediumStructure8 | MediumStructure9 | MediumStructure10 | BigStructure1 | BigStructure2 | BigStructure3 | BigStructure4 | BigStructure5 | BigStructure6 | BigStructure7 | BigStructure8 | BigStructure9 | BigStructure10 | ||
| First Fit 0 | 0,00%/33,33%/1,00% | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/4,74% 0 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/2,75% 0 | 0,00%/0,00%/5,80% 0 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/0,00% 0 | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/100,00%/0,00% 0 ! | 0,00%/0,00%/1,62% 0 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/5,68% 0 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/4,57% 0 | 0,00%/0,00%/0,00% 2 | 0,00%/0,00%/4,78% 0 |
| First Fit Decreasing 1 | 0,00%/0,00%/0,70% | 0,00%/0,00%/3,08% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/4,88% 0 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/3,35% 0 | 0,00%/0,00%/1,14% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,67% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,75% 0 | 0,00%/0,00%/2,75% 0 | 0,00%/0,00%/2,24% 0 | 0,00%/0,00%/1,53% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,50% 0 | 0,00%/0,00%/0,00% 1 |
| Cheapest Insertion 1 | 0,00%/0,00%/0,70% | 0,00%/0,00%/3,08% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/4,88% 0 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/3,35% 0 | 0,00%/0,00%/1,14% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/0,00% 0 | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 ! | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,67% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,75% 0 | 0,00%/0,00%/2,75% 0 | 0,00%/0,00%/2,24% 0 | 0,00%/0,00%/1,53% 0 | 0,00%/0,00%/0,00% 1 | 0,00%/0,00%/0,50% 0 | 0,00%/0,00%/0,00% 1 |
Useful for comparing different score calculators and/or score rule implementations (presuming that the solver configurations do not differ otherwise). Also useful to measure the scalability cost of an extra constraint.
| Solver | Average | Problem | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SmallStructure1 | SmallStructure2 | SmallStructure3 | SmallStructure4 | SmallStructure5 | SmallStructure6 | SmallStructure7 | SmallStructure8 | SmallStructure9 | SmallStructure10 | MediumStructure1 | MediumStructure2 | MediumStructure3 | MediumStructure4 | MediumStructure5 | MediumStructure6 | MediumStructure7 | MediumStructure8 | MediumStructure9 | MediumStructure10 | BigStructure1 | BigStructure2 | BigStructure3 | BigStructure4 | BigStructure5 | BigStructure6 | BigStructure7 | BigStructure8 | BigStructure9 | BigStructure10 | ||
| Problem scale | 448 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 |
| First Fit 0 | 1.353/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 3/s | 3/s | 4.272/s | 3.357/s | 4.272/s | 4.700/s | 2.350/s | 3.133/s | 5.222/s | 3.615/s | 5.875/s | 3.615/s | 15/s | 15/s | 15/s | 15/s | 15/s | 17/s | 15/s | 16/s | 15/s | 15/s |
| First Fit Decreasing 1 | 1.738/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4.833/s | 4.142/s | 4.142/s | 3.411/s | 3.411/s | 5.272/s | 6.444/s | 3.866/s | 8.285/s | 8.285/s | 2/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s | 4/s |
| Cheapest Insertion 1 | 2.232/s | 3/s | 4/s | 4/s | 4/s | 4/s | 4/s | 3/s | 4/s | 4/s | 4/s | 5.625/s | 3.913/s | 4.736/s | 4.736/s | 4.500/s | 7.500/s | 9.000/s | 6.923/s | 4.736/s | 15.000/s | 1/s | 30/s | 31/s | 31/s | 30/s | 30/s | 31/s | 30/s | 31/s | 30/s |
Useful for visualizing the performance of construction heuristics (presuming that no other solver phases are configured).
| Solver | Average | Problem | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SmallStructure1 | SmallStructure2 | SmallStructure3 | SmallStructure4 | SmallStructure5 | SmallStructure6 | SmallStructure7 | SmallStructure8 | SmallStructure9 | SmallStructure10 | MediumStructure1 | MediumStructure2 | MediumStructure3 | MediumStructure4 | MediumStructure5 | MediumStructure6 | MediumStructure7 | MediumStructure8 | MediumStructure9 | MediumStructure10 | BigStructure1 | BigStructure2 | BigStructure3 | BigStructure4 | BigStructure5 | BigStructure6 | BigStructure7 | BigStructure8 | BigStructure9 | BigStructure10 | ||
| Problem scale | 448 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 64 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 256 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 | 1.024 |
| First Fit 0 | 3.118 | 3.701 | 3.716 | 3.502 | 3.651 | 3.547 | 3.614 | 3.632 | 3.603 | 3.764 | 3.775 | 11 | 14 | 11 | 10 | 20 | 15 | 9 | 13 | 8 | 13 | 5.889 | 5.718 | 5.776 | 5.783 | 5.720 | 5.171 | 5.694 | 5.523 | 5.716 | 5.932 |
| First Fit Decreasing 1 | 9.557 | 3.639 | 3.497 | 3.651 | 3.746 | 3.633 | 3.653 | 3.651 | 3.537 | 3.677 | 3.664 | 12 | 14 | 14 | 17 | 17 | 11 | 9 | 15 | 7 | 7 | 45.396 | 22.827 | 22.680 | 22.731 | 22.795 | 22.712 | 22.618 | 22.977 | 22.895 | 22.610 |
| Cheapest Insertion 1 | 21.328 | 3.815 | 3.638 | 3.696 | 3.687 | 3.551 | 3.617 | 3.798 | 3.732 | 3.628 | 3.634 | 16 | 23 | 19 | 19 | 20 | 12 | 10 | 13 | 19 | 6 | 397.806 | 23.010 | 22.627 | 22.578 | 22.916 | 22.847 | 22.730 | 22.912 | 22.728 | 22.743 |
Useful for extrapolating the scalability of construction heuristics (presuming that no other solver phases are configured).
Useful for visualizing trade-off between the best score versus the time spent for construction heuristics (presuming that no other solver phases are configured).
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.962.962 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.679.045 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.730.717 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.777.501 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.821.893 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.867.408 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.912.746 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 2.957.101 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 3.001.565 bytes on average.
Entity count: 10
Variable count: 6
Problem scale: 64
Memory usage after loading the inputSolution (before creating the Solver): 3.045.600 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.093.037 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.143.440 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.193.317 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.250.264 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.300.160 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.349.672 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.399.184 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.448.797 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.498.762 bytes on average.
Entity count: 18
Variable count: 14
Problem scale: 256
Memory usage after loading the inputSolution (before creating the Solver): 3.550.661 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.617.994 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.686.522 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.747.938 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.809.021 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.870.290 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.934.346 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 3.996.077 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 4.058.834 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 4.122.837 bytes on average.
Entity count: 34
Variable count: 30
Problem scale: 1.024
Memory usage after loading the inputSolution (before creating the Solver): 4.183.981 bytes on average.
<solver> <solutionClass>org.optaplanner.examples.vehiclerouting.domain.VehicleRoutingSolution</solutionClass> <entityClass>org.optaplanner.examples.vehiclerouting.domain.Standstill</entityClass> <entityClass>org.optaplanner.examples.vehiclerouting.domain.Task</entityClass> <scoreDirectorFactory> <scoreDefinitionType>HARD_MEDIUM_SOFT</scoreDefinitionType> <easyScoreCalculatorClass>org.optaplanner.examples.vehiclerouting.solver.score.VehicleRoutingEasyScoreCalculator</easyScoreCalculatorClass> <initializingScoreTrend>ONLY_DOWN</initializingScoreTrend> </scoreDirectorFactory> <termination> <minutesSpentLimit>10</minutesSpentLimit> </termination> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT</constructionHeuristicType> </constructionHeuristic> </solver>
<solver> <solutionClass>org.optaplanner.examples.vehiclerouting.domain.VehicleRoutingSolution</solutionClass> <entityClass>org.optaplanner.examples.vehiclerouting.domain.Standstill</entityClass> <entityClass>org.optaplanner.examples.vehiclerouting.domain.Task</entityClass> <scoreDirectorFactory> <scoreDefinitionType>HARD_MEDIUM_SOFT</scoreDefinitionType> <easyScoreCalculatorClass>org.optaplanner.examples.vehiclerouting.solver.score.VehicleRoutingEasyScoreCalculator</easyScoreCalculatorClass> <initializingScoreTrend>ONLY_DOWN</initializingScoreTrend> </scoreDirectorFactory> <termination> <minutesSpentLimit>10</minutesSpentLimit> </termination> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType> </constructionHeuristic> </solver>
<solver> <solutionClass>org.optaplanner.examples.vehiclerouting.domain.VehicleRoutingSolution</solutionClass> <entityClass>org.optaplanner.examples.vehiclerouting.domain.Standstill</entityClass> <entityClass>org.optaplanner.examples.vehiclerouting.domain.Task</entityClass> <scoreDirectorFactory> <scoreDefinitionType>HARD_MEDIUM_SOFT</scoreDefinitionType> <easyScoreCalculatorClass>org.optaplanner.examples.vehiclerouting.solver.score.VehicleRoutingEasyScoreCalculator</easyScoreCalculatorClass> <initializingScoreTrend>ONLY_DOWN</initializingScoreTrend> </scoreDirectorFactory> <termination> <minutesSpentLimit>10</minutesSpentLimit> </termination> <constructionHeuristic> <constructionHeuristicType>CHEAPEST_INSERTION</constructionHeuristicType> </constructionHeuristic> </solver>
| Name | 2015-08-21_125753 |
|---|---|
| Aggregation | false |
| Failure count | 0 |
| Starting timestamp | 21-ago-2015 12:57:53 |
| Warm up time spent | 30.000 ms |
| Parallel benchmark count / available processors | 1 / 4 |
| Benchmark time spent | 1.056.080 ms |
| VM max memory (as in -Xmx but lower) | 1.834.483.712 bytes |
| OptaPlanner version | 6.2.0.Final |
| Java version | Java 1.7.0_79 (Oracle Corporation) |
| Java VM | Java OpenJDK 64-Bit Server VM 24.79-b02 (Oracle Corporation) |
| Operating system | Linux amd64 3.13.0-32-generic |
| Report locale | es_ES |


--- layout: post title: Pile O Links date: 2006-07-25 00:00:00 categories: amusing business ---
Some nice links which have popped across my lens recently:


De novo assembly of Illumina reads using ABySS and alignment using BWA
This workshop is designed by Shaun Jackman @sjackman.
Purpose
We will use ABySS to assemble a 200 kbp bacterial artificial chromosome (BAC) using one lane of paired-end reads from the Illumina platform. BWA-MEM is used to align the assembled contigs to the human reference genome, and bcftools is used to call variants. IGV is used to visualize these alignments and variants. snpEff is used to determine the effects of these variants.
After this lab, you will have learned how to use ABySS to assemble a small genome, use BWA-MEM to align reads and contigs to a reference genome, use IGV to visualize these alignments, and use bcftools and snpEff to call variants and determine their effect.
Contents
- Getting Started
- Exercise 0: Index the reference using BWA
- Exercise 1: Align the reads to the reference using BWA (optional)
- Exercise 2: Inspect the reads
- Exercise 3: Assemble the reads into contigs using ABySS
- Exercise 4: Align the contigs to the reference using web BLAT
- Exercise 5: Align the contigs to the reference using BWA-MEM
- Exercise 6: Browse the contig to reference alignments using samtools tview
- Exercise 7: Browse the contig to reference alignments using IGV
- Exercise 8: View the contig to reference alignments SAM file
- Exercise 9: Call variants of the reads-to-reference alignments using bcftools (optional)
- Exercise 10: Call variants of the contigs-to-reference alignments using bcftoolss
- Exercise 11: Determine the effects of the SNVs
- Exercise 12: Compare the assembly variants to the read-alignment variants (optional)
- Exercise 13: Align the reads to the contigs using BWA (optional)
Getting Started
System requirements
The total run time of the tools alone is approximately 70 minutes on a 2-core 2 GHz system. 4 GB of RAM and 5 GB of disk space is required. The following software is required:
- ABySS 1.9.0: genome sequence assembler for short reads http://www.bcgsc.ca/platform/bioinfo/software/abyss
- bcftools 1.3.1: manipulate VCF/BCF variant call files http://www.htslib.org
- BWA 0.7.15: align short reads and long contigs http://bio-bwa.sourceforge.net
- IGV 2.3.80: visualize a genome http://www.broadinstitute.org/igv
- Java 7 or later: execute Java programs http://www.java.com
- samtools 1.3.1: manipulate SAM/BAM alignment files http://www.htslib.org
- snpEff 4.2: determine the effect of SNVs http://snpeff.sourceforge.net
Install Homebrew for Mac OS
Install Xcode.
Open Xcode, select “Xcode -> Preferences -> Downloads -> Command Line Tools -> Install”.
Install Homebrew.
Install Linuxbrew for Linux
Install Linuxbrew.
Add the brew
command to your PATH
. You will need to run this command again in each new shell that you open.
Install the software using Homebrew or Linuxbrew
Install ABySS, bcftools, BWA, IGV, samtools and SnpEff using brew.
Install the software on Ubuntu and Debian using apt-get
Install ABySS, bcftools, BWA, igv, and samtools.
sudo apt-get install abyss bcftools bwa igv samtools
sudo ln -s /usr/lib/abyss/abyss-fac /usr/local/bin/
Install the software manually
IGV may be installed using Java Web Start.
snpEff may be installed manually.
curl -LO http://downloads.sourceforge.net/project/snpeff/snpEff_v4_2_core.zip
unzip snpEff_v4_2_core.zip
Check that the software is installed
Check that the tools are installed in the PATH.
Download the data
Create your working directory.
Download the FASTQ files.
curl -LO http://www.bcgsc.ca/downloads/btl/sjackman/30CJCAAXX_4_1.fq.gz
curl -LO http://www.bcgsc.ca/downloads/btl/sjackman/30CJCAAXX_4_2.fq.gz
Download the reference file of human chromosome 3.
Install snpEff if you haven’t yet, and download the snpEff database.
Exercise 0: Index the reference using BWA
Index the reference file.
8 min, 1 GB RAM, 260 MB disk space
Exercise 1: Align the reads to the reference using BWA (optional)
Run BWA.
40 min, 250 MB RAM, 3 GB disk space
While this job is running in the background, open a new terminal and continue with the next section.
Exercise 2: Inspect the reads
There are two FASTQ files for this one lane of paired-end Illumina data: one file for the forward reads and one file for the reverse reads. Look at the first few reads.
How long are the reads? (hint: use awk '{print length}'
)
50 bp
How many lines are there in both files? (hint: use wc -l
)
40,869,448 lines
How many lines per read?
4 lines per read
How many reads are there in both files?
40869448 / 4 = 10,217,362 reads
How many bases are sequenced?
10217362 * 50 = 510,868,100 bp
Assuming the BAC is 200 kbp, what is the depth of coverage?
510868100 / 200000 = 2554 fold coverage
Exercise 3: Assemble the reads into contigs using ABySS
Run the assembly.
mkdir k48
ln -s ../30CJCAAXX_4_1.fq.gz ../30CJCAAXX_4_2.fq.gz k48/
abyss-pe -C k48 name=HS0674 k=48 s=200 v=-v in="30CJCAAXX_4_1.fq.gz 30CJCAAXX_4_2.fq.gz" contigs 2>&1 | tee abyss.log
You may need to use the uncompressed FASTQ files on a Mac.
gunzip -k 30CJCAAXX_4_1.fq.gz 30CJCAAXX_4_2.fq.gz
mkdir k48
ln -s ../30CJCAAXX_4_1.fq ../30CJCAAXX_4_2.fq k48/
abyss-pe -C k48 name=HS0674 k=48 s=200 v=-v in="30CJCAAXX_4_1.fq 30CJCAAXX_4_2.fq" contigs 2>&1 | tee abyss.log
5 min, 200 MB RAM, 2 MB disk space
Look at the option -n,--dry-run
of abyss-pe. Its output is the commands that ABySS will run for the assembly.
The assembly runs in three stages: assemble contigs without paired-end information, align the paired-end reads to the initial assembly, and merge contigs joined by paired-end information. You can instruct ABySS to stop after any of these stages. Use the -n
option to see the commands for each stage.
abyss-pe name=HS0674 k=48 in="30CJCAAXX_4_1.fq.gz 30CJCAAXX_4_2.fq.gz" unitigs -n
abyss-pe name=HS0674 k=48 in="30CJCAAXX_4_1.fq.gz 30CJCAAXX_4_2.fq.gz" pe-sam -n
abyss-pe name=HS0674 k=48 in="30CJCAAXX_4_1.fq.gz 30CJCAAXX_4_2.fq.gz" contigs -n
Once the assembly has completed, look at the assembled contigs using less
. The option -S
disables line wrapping.
How many contigs are longer than 100 bp?
6
What is the length of the longest contig (hint: use awk '{print length}'
)?
67,526 bp
What is the N50 of the assembly?
n n:500 L50 min N80 N50 N20 E-size max sum name 13 6 2 8044 54373 54743 67480 51662 67480 212330 k48/HS0674-contigs.fa
54,743 bp
View the assembly log.
What portion of the reads align to the assembly? (hint: search for “Mapped”)
Mapped 7167472 of 10217362 reads (70.1%)
What is the median fragment size and standard deviation of this library? (hint: search for “median”)
median = 204 bp, sd = 18 bp
Exercise 4: Align the contigs to the reference using web BLAT
Open BLAT in a web browser: http://genome.ucsc.edu
View the assembled contigs in a text editor. gview
is one text editor. You can use any text editor that you prefer.
Disable line wrap to make it easier to select the full sequence. For Emacs, select the option “Options -> Line Wrapping in this Buffer -> Truncate Long Lines.” For Vim, select the option “Edit -> File Settings -> Toggle Line Wrap”, or type :set nowrap
Select the two contigs whose lengths are approximately 8 and 16.5 kbp and copy-and-paste their sequence into BLAT.
What is the exact length of these two contigs?
8,044 bp and 16,561 bp
Click “browser” for the best alignment and then zoom out 10x. To which chromosome and band do these contigs align?
chr3q27.3
What are the nearest two genes?
SST and RTP2
Set the “Common SNPs” track in Variation to “pack”.
A SNV between the assembled sequence and reference sequence is displayed with a red line. Zoom in on a SNV. Is it in dbSNP?
Zoom in on the gap between the two contigs. Set the “RepeatMasker” track in Repeats to “full”. What feature overlaps the gap that likely caused the assembly gap?
Simple_repeat (TA)n
Zoom in to see the sequence of the feature.
Zoom out to see the alignment of both contigs. Unaligned query sequence is shown with a ridiculously thin purple line at the end of the alignment. The one-pixel-wide purple line is absurdly difficult to see. Which contig has unaligned sequence at one end?
the 16.5 kbp contig
Select that contig, and copy the unaligned sequence to the clipboard. Aligned sequence is shown in blue upper-case characters, and unaligned sequence is shown in black lower-case characters. Open BLAST in a web browser: http://blast.ncbi.nlm.nih.gov
Select “Nucleotide BLAST”. Select the database “Nucleotide collection (nr/nt)”. Paste the sequence into the query box. Click BLAST. Look at the first few best hits, and ignore hits to chimpanzee (Pan troglodytes) clones. What is the best alignment of our non-human contig fragment?
Cloning vector pTARBAC
What is the cause of this chimeric contig?
This assembled contig contains both the BAC cloning vector and the human DNA insert.
Exercise 5: Align the contigs to the reference using BWA-MEM
Warning: do not start BWA-MEM until BWA has completed unless your machine has at least 2 GB of RAM.
Run BWA-MEM.
bwa mem -t2 chr3.fa k48/HS0674-contigs.fa >k48/HS0674-contigs.sam
samtools sort -o k48/HS0674-contigs.bam k48/HS0674-contigs.sam
samtools index k48/HS0674-contigs.bam
1 min, 800 MB RAM, 1 MB disk space
Exercise 6: Browse the contig to reference alignments using samtools tview
Run samtools tview.
 How many Ns are in the contig?
19 Ns
How many Ns should there be for the size of the gap to agree with the reference?
16 Ns
Exercise 7: Browse the contig to reference alignments using IGV
Start IGV. Open the “IGV 2.3” icon on your desktop, or run either igv
or javaws http://www.broadinstitute.org/igv/projects/current/igv.jnlp
at the command line.
Select “View -> Preferences -> Alignments” and change “Visibility range threshold (kb)” to 1000. Select the “Genomes -> Load Genome From Server -> Human hg38”. Then select “File -> Load from File” and “k48/HS0674-contigs.bam” Go to the region chr3:186,500,000-188,000,000
by entering it into the box labeled “Go”. IGV may take up to a minute to load.
Which four genes overlap the contigs?
ST6GAL1, SST, RTP2 and BCL6
Add the dbSNP track. Select “File -> Load from Server”, expand “Annotations” and select “All Snps 1.4.2”. Should you have issues loading it, select “common Snps 1.4.2” instead.
Alternatively, download ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/00-common_all.vcf.gz
for Common Snps, or ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/00-All.vcf.gz
for All Snps along with their associated .gz.tbi
index file, and load them using “File -> Load from File”.
Zoom in on a SNV. Is it in dbSNP? Is it coding?
Bonus: Find a coding SNV. What is its dbSNP rs ID?
rs1973791 (chr3:187,698,846) and rs11707167 (chr3:187,698,931) in the last exon of RTP2. (note that rs1973791 in only available when using “All Snps 1.4.2”, so ignore it if you are using “common Snps 1.4.2”). rs1056932 (chr3:187,729,244) in exon 5 of BCL6.
Exercise 8: View the contig to reference alignments SAM file
View the SAM file.
The contig ID is given in the first column, and the position of the contig on the reference is given in the third and fourth columns. Which large contig has two alignments, and what are the positions of these two alignments?
The contig that has alignments starting at chr3:186,980,605 and chr3:187,722,004.
The orientation is given in the second column. The numbers 0 and 2048 both indicate positive orientation, and 16 indicates negative orientation. What is the position and orientation of these two alignments?
chr3:186,980,605 (-) and chr3:187,722,004 (+)
In IGV, go to the region chr3:186,500,000-188,000,000
. Right click on one of the alignments and choose Link supplementary alignments
. The two alignments connected by a thin line indicates that the alignment of this contig to the reference genome is split in two, suggesting a misassembly or a structural rearrangement. Because the orientations of the two alignments differ, part of the split alignment is highlighted in pink. Hover your cursor over the pink alignment and look at the Strands
field in the pop up text.
What large-scale structural rearrangement has occurred, and what is its approximate size?
a ~700 kbp inversion
Which two genes are fused as a result of this rearrangement?
ST6GAL1 and BCL6
Create a dot plot using MUMmer
A dot plot visualizes the alignments of two sequences to each other.
Extract the two sequences that we want to align. In the commands below, replace the number 102
with the contig identifier of your contig that shows the inversion. Your contig may be reverse-complemented with respect to the reference, because the orientation of assembled contigs is arbitrary. The seqtk seq -r
command below reverse complements the contig sequence. If your contig had the same orientation as the reference, you would want to skip that command.
samtools faidx chr3.fa chr3:186,900,000-187,800,000 >chr3q27.3.fa
samtools faidx k48/HS0674-contigs.fa 102 | seqtk seq -r >inversion.fa
Align the two sequences to each other using nucmer
from MUMmer.
Create the dot plot.
Edit the file inversion.gp
to make the aspect ratio square. Also disable the interactive mouse feature of gnuplot, which requires that you install X11. The following command uses sed
to edit the file, but you could also use a text editor.
Open the image inversion.png
. The size of the bacterial artificial chromosome (BAC) is much smaller than the size of the inversion, but even so we can still determine the size of the inversion. If you have pen and paper handy, draw what the dot plot would look like if the inversion were smaller so that the BAC contained the entire inversion. How large is the inversion?
approximately 700 kbp
Exercise 9: Call variants of the reads-to-reference alignments using bcftools (optional)
Check that BWA has completed aligning the reads to the reference, or run BWA now.
Call variants using bcftools.
samtools sort -@2 -o 30CJCAAXX_4.bam 30CJCAAXX_4.sam
samtools index 30CJCAAXX_4.bam
samtools mpileup -u -d 9999 -L 9999 -f chr3.fa 30CJCAAXX_4.bam >30CJCAAXX_4.bcf
bcftools call -c -v -Oz 30CJCAAXX_4.bcf >30CJCAAXX_4.vcf.gz
bcftools index 30CJCAAXX_4.vcf.gz
20 min, 250 MB RAM, 120 MB disk space
Exercise 10: Call variants of the contigs-to-reference alignments using bcftools
Run bcftools.
samtools mpileup -v -B -f chr3.fa k48/HS0674-contigs.bam | bcftools view -Oz -v snps,mnps,indels >k48/HS0674-contigs.vcf.gz
bcftools index k48/HS0674-contigs.vcf.gz
Browse the variants using IGV. Select “File -> Load from File” k48/HS0674-contigs.vcf.gz
Exercise 11: Determine the effects of the SNVs
Run SnpEff.
snpEff download GRCh38.86
snpEff eff GRCh38.82 k48/HS0674-contigs.vcf.gz >k48/HS0674-contigs.snpeff.vcf
SnpSift extractFields k48/HS0674-contigs.snpeff.vcf CHROM POS ANN >k48/HS0674-contigs.snpeff
1 min, 2.8 GB RAM
View the output of SnpEff.
Count the number of SNVs in each category of effect.
Find all the coding (synonymous or missense) SNVs.
Find the missense (non-synonymous) SNV. What is its location?
chr3:187,698,931
What is its dbSNP rs ID? (hint: use IGV or the UCSC genome browser)
rs11707167
Open dbSNP in a web browser: http://www.ncbi.nlm.nih.gov/projects/SNP/
What is the minor allele frequency (MAF) of this SNP?
T=0.4002 (ExAC)
Exercise 12: Compare the assembly variants to the read-alignment variants (optional)
Browse the variants called by both methods using IGV.
Start IGV using either the command line or the user interface.
Or select:
- File -> Load from File…
k48/HS0674-contigs.bam
- File -> Load from File…
k48/HS0674-contigs.vcf.gz
- File -> Load from File…
30CJCAAXX_4.vcf.gz
Go to the region chr3:186,931,150-186,931,250
Is the SNV called by both methods?
Yes.
Is the insertion called by both methods?
No, the insertion is called only by the assembly.
Hover the mouse cursor over the insertion to see the inserted sequence. What is the inserted sequence?
TCTGGGTTCCTTCAAATCCTGCCT
Compare the inserted sequence to the reference sequence at this location. What sequence do the inserted sequence and the reference sequence have in common?
The insertion duplicates the 8-bp sequence TCTGGGTT. The remaining 16 bp are an untemplated insertion.
Load the alignments of the reads to the reference. “File -> Load from File” 30CJCAAXX_4.bam
The aligned reads do not show the insertion, but the alignments that span the insertion have mismatches at the end of the alignment. Do those mismatched bases agree with the inserted sequence?
Yes, the mismatched bases show CT at the 5’ end and CC at the 3’ end, which agree with the inserted sequence.
Exercise 13: Align the reads to the contigs using BWA (optional)
Run BWA.
bwa index k48/HS0674-contigs.fa
bwa mem -t2 k48/HS0674-contigs.fa 30CJCAAXX_4_1.fq.gz 30CJCAAXX_4_2.fq.gz >k48/30CJCAAXX_4.sam
samtools sort -@2 -o k48/30CJCAAXX_4.bam k48/30CJCAAXX_4.sam
samtools index k48/30CJCAAXX_4.bam
12 min, 200 MB RAM, 3 GB disk space
Index the assembly FASTA file.
Browse the BAM file using samtools tview.
Browse the BAM file using IGV.
Start IGV using either the command line or the user interface.
Or select:
- Genomes -> Load Genome from File
k48/HS0674-contigs.fa
- File -> Load from File
k48/30CJCAAXX_4.bam
Find a scaffold gap on the largest contig. Find the two contigs that have consistent mate pairs joining them.


Tic Tac Toe
Score Board
Player O
0
points
Player X
0
points
Restart
Select Game Settings
Play against
:
Computer
Human
Select Your Symbol
:
O
X
Start Game


<EMAIL_ADDRESS>···<PHONE_NUMBER>
Tara Nejad is a third year student at UC San Diego studying Cognitive Science with a specialization in Human Computer Interaction and a minor in Communications. Her interests include User Experience Design and she is currently an Itern at the Sony Pictures Entertainment IT department.


The winter, all rough, With its freezing bites ... The guiding lights In distant sight. The warmth of the home Is the thirst of the soul. The tears freeze ... But the skull still smokes.


Bun Bun Bake Shop
Back
Quantity:
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This is a maple apple pecan roll.
Price: $10
Add to Cart
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| R1950 | D | B1950.0 (radians) |
|---|---|---|
| D1950 | D | B1950.0 (radians) |
| DR1950 | D | B1950.0 proper motion in (radians per tropical year) |
| DD1950 | D | B1950.0 proper motion in (radians per tropical year) |
| P1950 | D | B1950.0 parallax (arcsec) |
| V1950 | D | B1950.0 radial velocity (km s-1, +ve = moving away) |
| R2000 | D | J2000.0 (radians) |
|---|---|---|
| D2000 | D | J2000.0 (radians) |
| DR2000 | D | J2000.0 proper motion in (radians per Julian year) |
| DD2000 | D | J2000.0 proper motion in (radians per Julian year) |
| P2000 | D | J2000.0 parallax (arcsec) |
| V2000 | D | J2000.0 radial velocity (km s-1, +ve = moving away) |
SLALIB --- Positional Astronomy Library


Reduce
Test 1
Name your function addTogether
. Take in a list and return the result of that list added together.
Do not use a loop.
Test 2
Name your function concatenateStringsWithSpaces
. Take in a list, return that string with those strings concatenated together with spaces between them. Don't worry about leading or trailing whitespace.
Do not use .join or loops
Test 3
Name your function squaresAndSubtracts
.Map over your list, square each value, and then subtract them in order (take index 0, subtract index 1, then index 2, etc.). Do not use a loop
Test 4
Name your function myReduce
. Implement your own reduce myReduce
takes three parameters: the list being operated on, a function to apply the reduction, and seed value to start the reduce. You will need to use a loop.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/methods/finitedifferences/solvers/fdmbackwardsolver.hpp>
Public Types | |
| enum | FdmSchemeType { HundsdorferType , DouglasType , CraigSneydType , ModifiedCraigSneydType , ImplicitEulerType , ExplicitEulerType , MethodOfLinesType , TrBDF2Type , CrankNicolsonType } |
Public Member Functions | |
| FdmSchemeDesc (FdmSchemeType type, Real theta, Real mu) | |
Static Public Member Functions | |
| static FdmSchemeDesc | Douglas () |
| static FdmSchemeDesc | CrankNicolson () |
| static FdmSchemeDesc | ImplicitEuler () |
| static FdmSchemeDesc | ExplicitEuler () |
| static FdmSchemeDesc | CraigSneyd () |
| static FdmSchemeDesc | ModifiedCraigSneyd () |
| static FdmSchemeDesc | Hundsdorfer () |
| static FdmSchemeDesc | ModifiedHundsdorfer () |
| static FdmSchemeDesc | MethodOfLines (Real eps=0.001, Real relInitStepSize=0.01) |
| static FdmSchemeDesc | TrBDF2 () |
Public Attributes | |
| const FdmSchemeType | type |
| const Real | theta |
| const Real | mu |
Definition at line 35 of file fdmbackwardsolver.hpp.
| enum FdmSchemeType |
| Enumerator | |
|---|---|
| HundsdorferType | |
| DouglasType | |
| CraigSneydType | |
| ModifiedCraigSneydType | |
| ImplicitEulerType | |
| ExplicitEulerType | |
| MethodOfLinesType | |
| TrBDF2Type | |
| CrankNicolsonType |
Definition at line 36 of file fdmbackwardsolver.hpp.
| FdmSchemeDesc | ( | FdmSchemeType | type, |
| Real | theta, | ||
| Real | mu | ||
| ) |
Definition at line 43 of file fdmbackwardsolver.cpp.
|
static |
|
static |
Definition at line 48 of file fdmbackwardsolver.cpp.
|
static |
|
static |
Definition at line 66 of file fdmbackwardsolver.cpp.
|
static |
|
static |
Definition at line 54 of file fdmbackwardsolver.cpp.
|
static |
Definition at line 58 of file fdmbackwardsolver.cpp.
|
static |
Definition at line 62 of file fdmbackwardsolver.cpp.
|
static |
Definition at line 74 of file fdmbackwardsolver.cpp.
|
static |
Definition at line 78 of file fdmbackwardsolver.cpp.
| const FdmSchemeType type |
Definition at line 44 of file fdmbackwardsolver.hpp.
| const Real theta |
Definition at line 45 of file fdmbackwardsolver.hpp.
| const Real mu |
Definition at line 45 of file fdmbackwardsolver.hpp.


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About Me
I am an aspiring Software Developer and Informatics major, striving to learn and motivated to solve problems. I am acquiring technical skills in JavaScript, CSS, HTML, Microsoft Excel, and cloud computing. I also am highly organized, able to work and communicate in groups, and complete tasks efficiently.
“The ultimate measure of a man is not where he stands in moments of comfort, but where he stands at times of challenge and controversy.”
—Martin Luther King, Jr.


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Andrea Ghidini - Co-founder and full-stack engineer @ Looptribe
Talk: Il futuro con Web3: integrazione con Metamask e minting di un NFT
Web3 enhances the internet by building applications running on blockchains and decentralized networks.We will talk about:
- blockchain & smart contracts (sheesh)
- how to connect to an ethereum blockchain from a web application
- how to integrate an ethereum browser wallet like Metamask
- how to interact with a smart contract
- NFT data & metadata
- mint your first real NFTs!


Job Matrix Entry
Keys
language
— Language support to enable (type: enum (string), known values: android
, c
, clojure
, cpp
, crystal
, csharp
, d
, dart
, elixir
, elm
, ...
, default: ruby, objective-c
, e.g.: ruby
) details
os
— (type: enum (string), known values: linux
, osx
, windows
, default: linux, osx, windows
) details
dist
— Build environment distribution (type: enum (string), known values: trusty
, precise
, xenial
, bionic
, server-2016
) details
arch
— Build environment architecture (type: enum (string), known values: amd64
, arm64
, ppc64le
, s390x
) details
osx_image
— OSX image to use for the build environment (type: string)
sudo
— Whether to allow sudo access (deprecated, type: boolean, or string, e.g.: required
) details
env
— Environment variables to set up (type: sequence of map, sequence of secure, sequence of string, map, secure, or string) details
compiler
— (type: string, e.g.: gcc
)
name
— (type: string)
stage
— (type: string)
Shared keys
addons
: Build addons to activate details
branches
: Include or exclude branches from being built details
cache
: Cache settings to speed up the build details
deploy
: Deployment target configurations details
git
: Git settings details
if
: Condition to determine if a build, stage, or job should be run, a config source imported, or a notification sent details
services
: Services to set up and start details
before_install
: Scripts to run before the install stage
install
: Scripts to run at the install stage
before_script
: Scripts to run before the script stage
script
: Scripts to run at the script stage
before_cache
: Scripts to run before storing a build cache
after_success
: Scripts to run after a successful script stage
after_failure
: Scripts to run after a failing script stage
before_deploy
: Scripts to run before the deploy stage
after_deploy
: Scripts to run after the deploy stage
after_script
: Scripts to run as the last stage
Examples
language: ruby
os: linux
dist: trusty


nondescript, with dark grey plumage and paler underparts highlighted by yellow wing patches and a broad, black crescent, outlined in white, down the sides of its breast. The female is a little duller than the male. The male sings a complex and variable song from an exposed perch, and during the breeding
as moku kurti pastraipas


class: center, bottom count: false .top[# Efficient RANSAC in efficient Julia] .bottom[.center[
]] --- # Introduction .left[ [Tamás Cserteg](https://www.sztaki.hu/en/tamas-cserteg) Research Laboratory on Engineering & Management Intelligence Institute for Computer Science and Control (SZTAKI) - Budapest, Hungary GitHub: cserteGT3 ] -- ### Agenda 1. Algorithm introduction 2. `RANSAC.jl` & `RANSACVisualier.jl` demo 3. Extensibility demo 4. Future plans .footnote[Talk materials: [github.com/cserteGT3/JuliaCon2020RANSAC](https://github.com/cserteGT3/JuliaCon2020RANSAC)] --- # Digital shape reconstruction .center[
] .left[.footnote[[Image source](https://www.researchgate.net/publication/321116176_Reverse_engineering_modeling_methods_and_tools_a_survey)]] --- # Efficient RANSAC ### Goal Recognize primitive shapes: planes, spheres, cylinders, cones, tori -- ### Algorithm - Input: point cloud with surface normals - Output: detected shapes and corresponding vertices -- ### Iteration 1. Sampling 2. Fitting 3. Scoring 4. Extraction (refitting) --- # Demo -- ```julia using FileIO m = load("fandisk_input.obj"); using RANSACVisualizer showgeometry(m.position, m.normals) ``` .center[
] .left[.footnote[[Demo source](https://csertegt3.github.io/RANSAC.jl/stable/example/)]] --- # Demo ```julia using RANSAC pc = RANSACCloud(m.position, m.normals, 8) p = ransacparameters() newparams = (ϵ=0.05, α=deg2rad(10),) p = ransacparameters(p, sphere=newparams, cone=newparams, plane=newparams, cylinder=newparams, iteration=(τ=50, itermax=100_000,)) p ``` Result: ```julia (iteration = (drawN = 3, minsubsetN = 15, prob_det = 0.9, shape_types = UnionAll[FittedPlane, FittedCone, FittedCylinder, FittedSphere], τ = 50, itermax = 100000, extract_s = :nofminset, terminate_s = :nofminset), common = (collin_threshold = 0.2, parallelthrdeg = 1), plane = (ϵ = 0.05, α = 0.175), cone = (ϵ = 0.05, α = 0.175, minconeopang = 0.0349), cylinder = (ϵ = 0.05, α = 0.175), sphere = (ϵ = 0.05, α = 0.175, sphere_par = 0.02)) ``` --- # Demo ```julia extr, _ = ransac(pc, p, true) ``` Result: ```julia 24-element Array{ExtractedShape,1}: Cand: (plane), 2205 ps Cand: (cylinder, R: 1.102), 738 ps Cand: (cylinder, R: 2.208), 625 ps ⋮ Cand: (sphere, R: 15.194), 34 ps Cand: (cone, ω: 0.646), 60 ps Cand: (sphere, R: 1.935), 27 ps ``` --- # Demo ```julia showbytype(pc, extr; show_axis = false) ``` .center[
] --- # Demo ```julia exportJSON(stdout, extr, 2) ``` Result: ```json { "primitives": [ { "point": [ 1.953041, -2.0e-6, -13.371634 ], "normal": [ -0.0, 1.0, -0.0 ], "type": "plane" }, ⋮ ] } ``` --- # Extensibility -- - `MyShape <: FittedShape` - `fit()` - `score()` - `refit()` -- - `defaultshapeparameters()` --- # Extensibility demo ### Parameters -- ```julia julia> using RANSAC, UnPack julia> p = ransacparameters([FittedPlane]) (iteration = (drawN = 3, minsubsetN = 15, prob_det = 0.9, shape_types = UnionAll[FittedPlane], τ = 900, itermax = 1000, extract_s = :nofminset, terminate_s = :nofminset), common = (collin_threshold = 0.2, parallelthrdeg = 1), plane = (ϵ = 0.3, α = 0.0873)) julia> p = ransacparameters(p, iteration=(prob_det=0.99,)) (iteration = (drawN = 3, minsubsetN = 15, prob_det = 0.99, shape_types = UnionAll[FittedPlane], τ = 900, itermax = 1000, extract_s = :nofminset, terminate_s = :nofminset), common = (collin_threshold = 0.2, parallelthrdeg = 1), plane = (ϵ = 0.3, α = 0.0873)) julia> p = ransacparameters(p, newshape=(ϵ=0.01, param1="typeA", param2=42,)) (iteration = (drawN = 3, minsubsetN = 15, prob_det = 0.99, shape_types = UnionAll[FittedPlane], τ = 900, itermax = 1000, extract_s = :nofminset, terminate_s = :nofminset), common = (collin_threshold = 0.2, parallelthrdeg = 1), plane = (ϵ = 0.3, α = 0.0873), newshape = (ϵ = 0.01, param1 = "typeA", param2 = 42)) julia> @unpack newshape = p; julia> newshape (ϵ = 0.01, param1 = "typeA", param2 = 42) ``` --- # Extensibility demo ### Translational surface -- .center[
] --- # Extensibility demo ### Translational surface .center[
] --- count: false # Extensibility demo ### Translational surface .center[
] --- # Future plans - Torus primitive - Proper API in `RANSACVisualizer.jl` - Performance optmizations - Multi-threading - Investigate further RANSAC variants (GlobFit, multiBaySAC, etc.) --- # Summary - Easy to use primitive recognition in 3D point clouds - Flexbile tool for production and research - Written in pure Julia --- class: middle, center count: false # Thank you for your attention!


AWS Glue Partition StorageDescriptor
The
StorageDescriptor
property type describes the physical storage of AWS Glue partition data.
StorageDescriptor
is a property of the PartitionInput property type.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "StoredAsSubDirectories" :
Boolean
, "Parameters" :JSON object
, "BucketColumns" : [String
, ... ], "SkewedInfo" : SkewedInfo, "InputFormat" :String
, "NumberOfBuckets" :Integer
, "OutputFormat" :String
, "Columns" : [ Column, ... ], "SerdeInfo" : SerdeInfo, "SortColumns" : [ Order, ... ], "Compressed" :Boolean
, "Location" :String
}
YAML
StoredAsSubDirectories:
Boolean
Parameters:JSON object
BucketColumns: -String
SkewedInfo: SkewedInfo InputFormat:String
NumberOfBuckets:Integer
OutputFormat:String
Columns: - Column SerdeInfo: SerdeInfo SortColumns: - Order Compressed:Boolean
Location:String
Properties
StoredAsSubDirectories
-
Indicates whether the partition data is stored in subdirectories.
Required: No
Type: Boolean
Update requires: No interruption
Parameters
-
UTF-8 string–to–UTF-8 string key-value pairs that specify user-supplied properties.
Required: No
Type: JSON object
Update requires: No interruption
BucketColumns
-
A list of UTF-8 strings that specify reducer grouping columns, clustering columns, and bucketing columns in the partition.
Required: No
Type: List of String values
Update requires: No interruption
SkewedInfo
-
Information about values that appear very frequently in a column (skewed values).
Required: No
Type: SkewedInfo
Update requires: No interruption
InputFormat
-
The input format:
SequenceFileInputFormat
(binary),TextInputFormat
, or a custom format. It must match the single-line string pattern:[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*
Required: No
Type: String
Update requires: No interruption
NumberOfBuckets
-
The number of buckets.
Required: Conditional. You must specify this property if the partition contains any dimension columns.
Type: Integer
Update requires: No interruption
OutputFormat
-
The output format:
SequenceFileOutputFormat
(binary),IgnoreKeyTextOutputFormat
, or a custom format. It must match the single-line string pattern:[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*
Required: No
Type: String
Update requires: No interruption
Columns
-
The columns in the partition.
Required: No
Type: List of Column
Update requires: No interruption
SerdeInfo
-
Information about a serialization/deserialization program (SerDe), which serves as an extractor and loader.
Required: No
Type: SerdeInfo
Update requires: No interruption
SortColumns
-
The sort order of each bucket in the partition.
Required: No
Type: List of Order
Update requires: No interruption
Compressed
-
Indicates whether the data in the partition is compressed.
Required: No
Type: Boolean
Update requires: No interruption
Location
-
The physical location of the partition. By default, this takes the form of the warehouse location, followed by the database location in the warehouse, followed by the partition name. It must match the URI address multi-line string pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\r\n\t]*
Required: No
Type: String
Update requires: No interruption


For more than three decades, Apple Computer was predominantly a manufacturer of personal computers, including the Apple II, Macintosh, and Power Mac lines, but it faced rocky sales and low market share during the 1990s. Jobs, who had been ousted from the company in 1985, returned to Apple in 1996 after his company NeXT was bought by Apple.[3] The following year he became the company's interim CEO,[4] which later became permanent.[5] Jobs subsequently instilled a new corporate philosophy of recognizable products and simple design, starting with the original iMac in 1998.


PERLFAQ1
Section: Perl Programmers Reference Guide (1)Updated: 2009-08-15
Index Return to Main Contents
NAME
perlfaq1 - General Questions About PerlDESCRIPTION
This section of the FAQ answers very general, high-level questions about Perl.What is Perl?
Perl is a high-level programming language with an eclectic heritage written by Larry Wall and a cast of thousands. It derives from the ubiquitous C programming language and to a lesser extent from sed, awk, the Unix shell, and at least a dozen other tools and languages. Perl's process, file, and text manipulation facilities make it particularly well-suited for tasks involving quick prototyping, system utilities, software tools, system management tasks, database access, graphical programming, networking, and world wide web programming. These strengths make it especially popular with system administrators and CGI script authors, but mathematicians, geneticists, journalists, and even managers also use Perl. Maybe you should, too.Who supports Perl? Who develops it? Why is it free?
The original culture of the pre-populist Internet and the deeply-held beliefs of Perl's author, Larry Wall, gave rise to the free and open distribution policy of perl. Perl is supported by its users. The core, the standard Perl library, the optional modules, and the documentation you're reading now were all written by volunteers. See the personal note at the end of the README file in the perl source distribution for more details. See perlhist (new as of 5.005) for Perl's milestone releases.In particular, the core development team (known as the Perl Porters) are a rag-tag band of highly altruistic individuals committed to producing better software for free than you could hope to purchase for money. You may snoop on pending developments via the archives at http://www.xray.mpe.mpg.de/mailing-lists/perl5-porters/ and<EMAIL_ADDRESS>or the news gateway nntp://nntp.perl.org/perl.perl5.porters or its web interface at http://nntp.perl.org/group/perl.perl5.porters , or read the faq at http://dev.perl.org/perl5/docs/p5p-faq.html , or you can subscribe to the mailing list by sending<EMAIL_ADDRESS>a subscription request (an empty message with no subject is fine).
While the GNU project includes Perl in its distributions, there's no such thing as ``GNU Perl''. Perl is not produced nor maintained by the Free Software Foundation. Perl's licensing terms are also more open than GNU software's tend to be.
You can get commercial support of Perl if you wish, although for most users the informal support will more than suffice. See the answer to ``Where can I buy a commercial version of perl?'' for more information.
Which version of Perl should I use?
(contributed by brian d foy)There is often a matter of opinion and taste, and there isn't any one answer that fits everyone. In general, you want to use either the current stable release, or the stable release immediately prior to that one. Currently, those are perl5.10.x and perl5.8.x, respectively.
Beyond that, you have to consider several things and decide which is best for you.
- *
- If things aren't broken, upgrading perl may break them (or at least issue new warnings).
- *
- The latest versions of perl have more bug fixes.
- *
- The Perl community is geared toward supporting the most recent releases, so you'll have an easier time finding help for those.
- *
- Versions prior to perl5.004 had serious security problems with buffer overflows, and in some cases have CERT advisories (for instance, http://www.cert.org/advisories/CA-1997-17.html ).
- *
- The latest versions are probably the least deployed and widely tested, so you may want to wait a few months after their release and see what problems others have if you are risk averse.
- *
- The immediate, previous releases (i.e. perl5.8.x ) are usually maintained for a while, although not at the same level as the current releases.
- *
- No one is actively supporting Perl 4. Five years ago it was a dead camel carcass (according to this document). Now it's barely a skeleton as its whitewashed bones have fractured or eroded.
- *
- There is no Perl 6 release scheduled, but it will be available when it's ready. Stay tuned, but don't worry that you'll have to change major versions of Perl; no one is going to take Perl 5 away from you.
- *
- There are really two tracks of perl development: a maintenance version and an experimental version. The maintenance versions are stable, and have an even number as the minor release (i.e. perl5.10.x, where 10 is the minor release). The experimental versions may include features that don't make it into the stable versions, and have an odd number as the minor release (i.e. perl5.9.x, where 9 is the minor release).
What are Perl 4, Perl 5, or Perl 6?
(contributed by brian d foy)In short, Perl 4 is the past, Perl 5 is the present, and Perl 6 is the future.
The number after perl (i.e. the 5 after Perl 5) is the major release of the perl interpreter as well as the version of the language. Each major version has significant differences that earlier versions cannot support.
The current major release of Perl is Perl 5, and was released in 1994. It can run scripts from the previous major release, Perl 4 (March 1991), but has significant differences. It introduced the concept of references, complex data structures, and modules. The Perl 5 interpreter was a complete re-write of the previous perl sources.
Perl 6 is the next major version of Perl, but it's still in development in both its syntax and design. The work started in 2002 and is still ongoing. Many of the most interesting features have shown up in the latest versions of Perl 5, and some Perl 5 modules allow you to use some Perl 6 syntax in your programs. You can learn more about Perl 6 at http://dev.perl.org/perl6/ .
See perlhist for a history of Perl revisions.
What was Ponie?
(contributed by brian d foy)Ponie stands for ``Perl On the New Internal Engine'', started by Arthur Bergman from Fotango in 2003, and subsequently run as a project of The Perl Foundation. It was abandoned in 2006 ( http://www.nntp.perl.org/group/perl.ponie.dev/487 ).
Instead of using the current Perl internals, Ponie aimed to create a new one that would provide a translation path from Perl 5 to Perl 6 (or anything else that targets Parrot, actually). You would have been able to just keep using Perl 5 with Parrot, the virtual machine which will compile and run Perl 6 bytecode.
What is Perl 6?
At The Second O'Reilly Open Source Software Convention, Larry Wall announced Perl 6 development would begin in earnest. Perl 6 was an oft used term for Chip Salzenberg's project to rewrite Perl in C++ named Topaz. However, Topaz provided valuable insights to the next version of Perl and its implementation, but was ultimately abandoned.If you want to learn more about Perl 6, or have a desire to help in the crusade to make Perl a better place then peruse the Perl 6 developers page at http://dev.perl.org/perl6/ and get involved.
Perl 6 is not scheduled for release yet, and Perl 5 will still be supported for quite awhile after its release. Do not wait for Perl 6 to do whatever you need to do.
``We're really serious about reinventing everything that needs reinventing.'' --Larry Wall
How stable is Perl?
Production releases, which incorporate bug fixes and new functionality, are widely tested before release. Since the 5.000 release, we have averaged only about one production release per year.Larry and the Perl development team occasionally make changes to the internal core of the language, but all possible efforts are made toward backward compatibility. While not quite all Perl 4 scripts run flawlessly under Perl 5, an update to perl should nearly never invalidate a program written for an earlier version of perl (barring accidental bug fixes and the rare new keyword).
Is Perl difficult to learn?
No, Perl is easy to start learning---and easy to keep learning. It looks like most programming languages you're likely to have experience with, so if you've ever written a C program, an awk script, a shell script, or even a BASIC program, you're already partway there.Most tasks only require a small subset of the Perl language. One of the guiding mottos for Perl development is ``there's more than one way to do it'' (TMTOWTDI, sometimes pronounced ``tim toady''). Perl's learning curve is therefore shallow (easy to learn) and long (there's a whole lot you can do if you really want).
Finally, because Perl is frequently (but not always, and certainly not by definition) an interpreted language, you can write your programs and test them without an intermediate compilation step, allowing you to experiment and test/debug quickly and easily. This ease of experimentation flattens the learning curve even more.
Things that make Perl easier to learn: Unix experience, almost any kind of programming experience, an understanding of regular expressions, and the ability to understand other people's code. If there's something you need to do, then it's probably already been done, and a working example is usually available for free. Don't forget Perl modules, either. They're discussed in Part 3 of this FAQ, along with CPAN, which is discussed in Part 2.
How does Perl compare with other languages like Java, Python, REXX, Scheme, or Tcl?
Favorably in some areas, unfavorably in others. Precisely which areas are good and bad is often a personal choice, so asking this question on Usenet runs a strong risk of starting an unproductive Holy War.Probably the best thing to do is try to write equivalent code to do a set of tasks. These languages have their own newsgroups in which you can learn about (but hopefully not argue about) them.
Some comparison documents can be found at http://www.perl.com/doc/FMTEYEWTK/versus/ if you really can't stop yourself.
Can I do [task] in Perl?
Perl is flexible and extensible enough for you to use on virtually any task, from one-line file-processing tasks to large, elaborate systems. For many people, Perl serves as a great replacement for shell scripting. For others, it serves as a convenient, high-level replacement for most of what they'd program in low-level languages like C or C++. It's ultimately up to you (and possibly your management) which tasks you'll use Perl for and which you won't.If you have a library that provides an API, you can make any component of it available as just another Perl function or variable using a Perl extension written in C or C++ and dynamically linked into your main perl interpreter. You can also go the other direction, and write your main program in C or C++, and then link in some Perl code on the fly, to create a powerful application. See perlembed.
That said, there will always be small, focused, special-purpose languages dedicated to a specific problem domain that are simply more convenient for certain kinds of problems. Perl tries to be all things to all people, but nothing special to anyone. Examples of specialized languages that come to mind include prolog and matlab.
When shouldn't I program in Perl?
When your manager forbids it---but do consider replacing them :-).Actually, one good reason is when you already have an existing application written in another language that's all done (and done well), or you have an application language specifically designed for a certain task (e.g. prolog, make).
For various reasons, Perl is probably not well-suited for real-time embedded systems, low-level operating systems development work like device drivers or context-switching code, complex multi-threaded shared-memory applications, or extremely large applications. You'll notice that perl is not itself written in Perl.
Perl remains fundamentally a dynamically typed language, not a statically typed one. You certainly won't be chastised if you don't trust nuclear-plant or brain-surgery monitoring code to it. And Larry will sleep easier, too---Wall Street programs not withstanding. :-)
What's the difference between perl and Perl?
One bit. Oh, you weren't talking ASCII? :-) Larry now uses ``Perl'' to signify the language proper and ``perl'' the implementation of it, i.e. the current interpreter. Hence Tom's quip that ``Nothing but perl can parse Perl.''Before the first edition of Programming perl, people commonly referred to the language as ``perl'', and its name appeared that way in the title because it referred to the interpreter. In the book, Randal Schwartz capitalised the language's name to make it stand out better when typeset. This convention was adopted by the community, and the second edition became Programming Perl, using the capitalized version of the name to refer to the language.
You may or may not choose to follow this usage. For example, parallelism means ``awk and perl'' and ``Python and Perl'' look good, while ``awk and Perl'' and ``Python and perl'' do not. But never write ``PERL'', because perl is not an acronym, apocryphal folklore and post-facto expansions notwithstanding.
Is it a Perl program or a Perl script?
Larry doesn't really care. He says (half in jest) that ``a script is what you give the actors. A program is what you give the audience.''Originally, a script was a canned sequence of normally interactive commands---that is, a chat script. Something like a UUCP or PPP chat script or an expect script fits the bill nicely, as do configuration scripts run by a program at its start up, such .cshrc or .ircrc, for example. Chat scripts were just drivers for existing programs, not stand-alone programs in their own right.
A computer scientist will correctly explain that all programs are interpreted and that the only question is at what level. But if you ask this question of someone who isn't a computer scientist, they might tell you that a program has been compiled to physical machine code once and can then be run multiple times, whereas a script must be translated by a program each time it's used.
Now that ``script'' and ``scripting'' are terms that have been seized by unscrupulous or unknowing marketeers for their own nefarious purposes, they have begun to take on strange and often pejorative meanings, like ``non serious'' or ``not real programming''. Consequently, some Perl programmers prefer to avoid them altogether.
What is a JAPH?
(contributed by brian d foy)JAPH stands for ``Just another Perl hacker,'', which Randal Schwartz used to sign email and usenet messages starting in the late 1980s. He previously used the phrase with many subjects (``Just another x hacker,''), so to distinguish his JAPH, he started to write them as Perl programs:
print "Just another Perl hacker,";
Other people picked up on this and started to write clever or obfuscated programs to produce the same output, spinning things quickly out of control while still providing hours of amusement for their creators and readers.
CPAN has several JAPH programs at http://www.cpan.org/misc/japh .
Where can I get a list of Larry Wall witticisms?
(contributed by brian d foy)Google ``larry wall quotes''! You might even try the ``I feel lucky'' button. :)
Wikiquote has the witticisms from Larry along with their source, including his usenet postings and source code comments.
If you want a plain text file, try http://www.cpan.org/misc/lwall-quotes.txt.gz .
How can I convince others to use Perl?
(contributed by brian d foy)Appeal to their self interest! If Perl is new (and thus scary) to them, find something that Perl can do to solve one of their problems. That might mean that Perl either saves them something (time, headaches, money) or gives them something (flexibility, power, testability).
In general, the benefit of a language is closely related to the skill of the people using that language. If you or your team can be more faster, better, and stronger through Perl, you'll deliver more value. Remember, people often respond better to what they get out of it. If you run into resistance, figure out what those people get out of the other choice and how Perl might satisfy that requirement.
You don't have to worry about finding or paying for Perl; it's freely available and several popular operating systems come with Perl. Community support in places such as Perlmonks ( http://www.perlmonks.com ) and the various Perl mailing lists ( http://lists.perl.org ) means that you can usually get quick answers to your problems.
Finally, keep in mind that Perl might not be the right tool for every job. You're a much better advocate if your claims are reasonable and grounded in reality. Dogmatically advocating anything tends to make people discount your message. Be honest about possible disadvantages to your choice of Perl since any choice has trade-offs.
You might find these links useful:
REVISION
Revision: $Revision$Date: $Date$
See perlfaq for source control details and availability.
AUTHOR AND COPYRIGHT
Copyright (c) 1997-2009 Tom Christiansen, Nathan Torkington, and other authors as noted. All rights reserved.This documentation is free; you can redistribute it and/or modify it under the same terms as Perl itself.
Irrespective of its distribution, all code examples here are in the public domain. You are permitted and encouraged to use this code and any derivatives thereof in your own programs for fun or for profit as you see fit. A simple comment in the code giving credit to the FAQ would be courteous but is not required.
Index
- NAME
- DESCRIPTION
-
- What is Perl?
- Who supports Perl? Who develops it? Why is it free?
- Which version of Perl should I use?
- What are Perl 4, Perl 5, or Perl 6?
- What was Ponie?
- What is Perl 6?
- How stable is Perl?
- Is Perl difficult to learn?
- How does Perl compare with other languages like Java, Python, REXX, Scheme, or Tcl?
- Can I do [task] in Perl?
- When shouldn't I program in Perl?
- What's the difference between perl and Perl?
- Is it a Perl program or a Perl script?
- What is a JAPH?
- Where can I get a list of Larry Wall witticisms?
- How can I convince others to use Perl?
- REVISION
- AUTHOR AND COPYRIGHT
This document was created by man2html, using the manual pages.
Time: 05:29:08 GMT, December 24, 2015


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{% block content %}
{{ page.excerpt }} Use the view selector below to see this comparison for any of your Google Analytics views.Demo Overview
You can recreate the demo above by copy and pasting the following code into an HTML file running on a web server. Feel free to add some CSS to spice it up a bit!
If you want to know more, check out the Embed API documentation on our developers site.
{%- filter forceescape -%} {%- endfilter -%}
{%- filter forceescape -%} {%- endfilter -%}
{%- filter forceescape -%} {%- endfilter -%}


| Name | {{element.name}} | Total * see note * | Items |
{{item.item + ' @' + roundOffByDPSetting(item.cost)}}
|
Amount | {{roundOffByDPSetting(element.totalCost)}} | {{actualTotal}} |
|---|
* The actual total is {{roundOffByDPSetting(results.total)}}, so {{roundOffByDPSetting(roundOffByDPSetting(results.total) - actualTotal)}} remains due to rounding errors and cannot be divided further. It should be added to someone's cost.
roundOffByDPSetting(results.total)"> * The actual total is {{roundOffByDPSetting(results.total)}}, so {{roundOffByDPSetting(actualTotal - roundOffByDPSetting(results.total))}} is extra due to rounding errors and cannot be divided further. It should be discounted from someone's cost.
| Item | {{element.item}} | Cost | {{roundOffByDPSetting(element.cost)}} | Qty. | {{element.quantity}} | Tax | {{element.taxed ? results.settings.taxPercentage + '% ': 'N/A'}} | People | {{element.dividedBy}} | Cost/Person | {{roundOffByDPSetting(element.costPerPerson)}} |
|---|


About
extJWNL (Extended Java WordNet Library) is a Java API for creating, reading and updating dictionaries in WordNet format. extJWNL is an upgraded version of JWNL. The library was improved and now features support for:
- creating, editing and writing dictionaries
- encodings, including UTF-8
- Java generics
- huge dictionaries
- instance dictionaries and static singletone dictionary
- Maven
- ewn: command-line tool to browse, create and edit dictionaries in WordNet format
- and more


The help was moved in the GitHub Wiki.
https://github.com/Corne2Plum3/osu-hitcircle-generator.github.io/wiki


SUMO
Efficiently restructuring software systems.
As software evolves, its module structure can deteriorate. Given such a system, it can be challenging to find an appropriate package structure. Although several automated approaches have been proposed, they tend to be too disruptive, and often fail to make sense from a domain perspective.
This project has been a collaboration with Mat Hall and Phil McMinn at the University of Sheffield, as well as Ali Khojaye, who worked on this as an MSc. student when I was at Leicester.
Our SUMO tool reads the current package of a structure and interacts with the user to enable them to indicate which files do and do not belong into the same module. In doing so it will continuously suggest improved modularisations.
Software
An implementation of the SUMO tool is available via Bitbucket. It is licensed under the 3-clause BSD license.
Publications
Go to my Publications page for links to PDF copies of the papers.
- Effectively incorporating expert knowledge in automated software remodularisation Hall, Mathew, Walkinshaw, Neil, and McMinn, Phil, IEEE Transactions on Software Engineering, 2018
- Establishing the source code disruption caused by automated remodularisation tools Hall, Mathew, Khojaye, Muhammad Ali, Walkinshaw, Neil, and McMinn, Phil, International Conference on Software Maintenance and Evolution (ICSME) ESR track, 2014
- Supervised software modularisation Hall, Mathew, Walkinshaw, Neil, and McMinn, Phil, International Conference on Software Maintenance (ICSM’12)


Government plans fintech push to boost export sector
by Emma KoehnSenator Jane Hume has signalled the potential for new global agreements to propel Australian fintechs into new markets, acknowledging Australia's current agreement with the UK to encourage exports of Australian tech isn't being used to its full potential.
"The 'fintech bridge' is probably under-utilised, particularly at the moment in the Australia-to-the-UK side of things," the Assistant Minister for Superannuation, Financial Services and Financial Technology told a Visa fintech panel in Melbourne on Friday.
The fintech bridge agreement was unveiled in 2018 as a way to better facilitate trade and collaboration for banking disruptors across the two nations.
Senator Hume said the UK agreement was an exciting project but had only taken its "first steps" towards fostering cross-border trade so far.
In October the UK's department of international trade brought a cohort of UK companies to Melbourne for the Intersekt fintech festival.
A number of UK competitors, including software business TrueLayer and small business bank OakNorth, signalled they will enter Australia ahead of the rollout of the open banking regime.
The British fintech market is more mature than Australia's, with the region already operating under an open banking scheme where customers can share their data between banks to get better deals.
There are 526 fintechs in Australia as of 2019, according to a Visa Future of Fintech report released on Friday – an increase of 37 per cent on a year ago.
Half of these companies want to expand overseas in the next 12 months, according to the 2019 EY Fintech census, with the UK and the US the most popular markets.
Senator Hume said while it was early days, the government was determined to broker similar policies with other nations, including through a potential agreement with Singapore to help Australian companies expand into that region.
"Certainly, when I was in Singapore they were very keen to establish something similar. We have started conversations already," she said.
The hope is that a fintech bridge could be added as part of an Australia-Singapore digital economy agreement which is under discussion.
There was also the option of a future trilateral fintech agreement between Australia, Singapore and the UK, she said.
"That is a really exciting opportunity, particularly when we start talking about things like data and access, where we are so far ahead of the curve."
Chief commercial officer at co-working space and startup support hub YBF Ventures, Niels Maartens, told the panel the local fintech market was maturing.
"The hype is lowering and the amount of revenue growth is up and I like that aspect of it," he said.
However, many local players may not be generating enough revenue to consider global expansion at this stage.
Visa's report suggests only one in 10 local players have revenue of $1 million or more, while one third are post-revenue but make less than $100,000 a year.
A Senate inquiry into the financial technology and regulatory technology sectors is currently underway, with early submissions pointing to the importance of stable policies and access to talent.


this extension let you wirte note in any webpage
you can find source code at
github
. And report some bug or feature in github issues or contribute.


{# Copyright 2022 Google LLC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. #} {%- extends BASE_HTML -%} {% set main_id = 'about' %} {% set page_id = 'page-about' %} {% set title = 'About Us' %} {% set NAME = 'India Data Commons' %} {% block head %} {% endblock %} {% block content %}
India Data Commons is an effort by Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras to highlight India-specific data in Data Commons knowledge graph. India Data Commons features datasets published by Indian Ministries and governmental organizations and provides it through DC knowledge Graph. India Data Commons is powered by Data Commons.
Data Commons synthesizes a single graph from different data sources. It links references to the same entities (such as cities, districts, states, etc.) across different datasets to nodes on the graph, so that users can access data about a particular entity aggregated from different sources without data cleaning or joining. We hope the data contained within Data Commons will be useful to students, researchers, and enthusiasts across different disciplines.
India Data Commons can be accessed by anyone via the tools available on datacommons.iitm.ac.in. Students, researchers and developers can use the REST, Python and Google Sheets APIs, all of which are free for educational, academic and journalistic research purposes.
Data Commons is entirely open-source. Any Indian dataset added to DC's knowledge graph will be featured in India Data Commons. You can contribute to our database through our GitHub repo. More information on contributing can be found in our documentation.
We are always looking for more collaborators, both for adding new data to Data Commons and for building new and interesting applications of India Data Commons. Contact us if you are interested in working with us.


Acquired by IBM in September 2015
- An IBM Company
Since then: LoopBack 3 and 4 released
And why should I use it?
One source of truth
API composition layer
OpenAPI standards
Extensibility
Modern technologies
Nice, tell me more about concepts
Application
Server
Context
Binding
Dependency Injection
Controller
Interceptors
Route
Sequence
Model
Data Sources
Repository
Relation
Decorator
Component
Controllers?
A class that implements operations defined by an application’s API
Implements an applications business logic
Acts as bridge between the HTTP/REST API and domain/database models
Model?
Describes business domain objects
Usually defines a list of properties with name, type, and other
constraints
Can be used for data exchange on the wire or between different systems
Data Sources?
A config for a Connector instance that represents data in an external
system
LoopBack supports many different external system, e.g.
In-memory DB, Microsoft SQL, Oracle, Redis, MongoDB, PostgreSQL, ...
Repositories?
Represents a specialized service interface that provides strong-typed
data access (for example, CRUD) operations of a domain model against the
underlying database or service.
Easy, how can I use it?
Bottom-up
Programmatic, code-first approach, export an OAS
Top-Down
Use the CLI, scaffold application and generate artifacts
CLI? Like the Angular CLI?
Provides CLI tools to help get started quickly
Generates applications and installs their dependencies
Provides optional installation of recommended dependencies


Output devices
Week 10
Output Devices
Tasks
add an output device to a microcontroller board you've designed and program it to do something
RGB LED Board
After watching Neil's lesson and take a look at the options i had, i decided to make the RGB Light output Device, wich i'm going to use in my final project to illuminate my greenhouse interior, according to daylight's level.
I started by downloading the files needed to the project and then milled the board in our modella. collected the components and soldered all the components to the board.
Colecting the components
Soldering the components
I had to verify all the solderings at the end because the board wasn't flashing properly, and found 2 weldings that weren't supposed to be connected. I connected a 9V battery to the board for auxiliar power.
Connecting a 9V Battery
Testing the board
When all components were connected to my FabIsp i compiled the C code:
sudo make -f hello.RGB.45.make
and then
sudo make -f hello.RGB.45.make program-usbtiny
sudo make -f hello.RGB.45.make program-usbtiny
avr-objcopy -O ihex hello.RGB.45.out hello.RGB.45.c.hex;\
avr-size --mcu=attiny45 --format=avr hello.RGB.45.out
AVR Memory Usage
----------------
Device: attiny45
Program: 330 bytes (4.0% Full)
(.text + .data + .bootloader)
Data: 0 bytes (0.0% Full)
(.data + .bss + .noinit)
avrdude -p t45 -P usb -c usbtiny -U flash:w:hello.RGB.45.c.hex
avrdude: AVR device initialized and ready to accept instructions
Reading | ################################################## | 100% 0.00s
avrdude: Device signature = 0x1e930b
avrdude: NOTE: FLASH memory has been specified, an erase cycle will be performed
To disable this feature, specify the -D option.
avrdude: erasing chip
avrdude: reading input file "hello.RGB.45.c.hex"
avrdude: input file hello.RGB.45.c.hex auto detected as Intel Hex
avrdude: writing flash (330 bytes):
Writing | ################################################## | 100% 0.37s
avrdude: 330 bytes of flash written
avrdude: verifying flash memory against hello.RGB.45.c.hex:
avrdude: load data flash data from input file hello.RGB.45.c.hex:
avrdude: input file hello.RGB.45.c.hex auto detected as Intel Hex
avrdude: input file hello.RGB.45.c.hex contains 330 bytes
avrdude: reading on-chip flash data:
Reading | ################################################## | 100% 0.33s
avrdude: verifying ...
avrdude: 330 bytes of flash verified
avrdude: safemode: Fuses OK
avrdude done. Thank you.
This is my Final Board
Everything went well. Work done! Here's my final video:
Video of the board flashing
All files


User Test
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Will take time to build this section :(
Sorry But this section will be updated later.. stay tuned ;)
Learn MoreHappy Clients Still Counting happy clients
Projects adipisci atque cum quia aspernatur totam laudantium et quia dere tan
Years of experience aut commodi quaerat modi aliquam nam ducimus aut voluptate non vel
Awards Still waiting for awards hehe
following are some of the services provided


This page is a javaScript sandbox:
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Drag the bar to change its width:
Test Button
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Lindow's Home Page
Hurricane Page
P5 Examples Page
Casper Downloads
Cantemus Page - Ruby Based Database Driven Website (Written by Mr. Lindow)
Home Page
P5 (Java Script Processing Code) Examples Below


All Projects are Here.
Just Clone Us
Github Link is here.
Index Of Projects
4otakus
My Page
Bankers-Algo-Simulator
bp
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cheese
colorgame
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Fest Index Page is Here
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Last Push at: 00:51AM 10-10-2018(IndianTime)


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latest news
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priucodes.
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A GPF (General Purpose Fortran) example utility program colors.f90 with a man(1) page colors.1 exercises the module.
use M_color, only : & & hue, & & closest_color_name, & & color_name2rgb, & & rgbmono
Highly accurate color conversions are a tricky business, and color is a complex topic; but these simplified conversions between common color models work quite well for most basic needs.
For most uses the only user routine called is HUE(3f) HUE(3f) is a single routine that interfaces to all the private low-level color conversion routines to convert a color's components from one color model to another. HUE(3f) converts between the following color models:
In addition to the reversible color model conversions there are a few other user-callable color-related procedures:
CLOSEST_COLOR_NAME: given RGB values, try to find closest named color COLOR_NAME2RGB: given a color name, return RGB color values in range 0 to 100 RGBMONO: convert RGB colors to a reasonable grayscale
The rest of the library is composed of PRIVATE procedures. For each color model supported the general idea of the module is that there are two routines for each color model:
This allows conversions between all color models with only 2*N routines required to go from any model to any other. That is, to go from model A to model B the intent is that the module would make two calls:
call modelA2rgb(...) call rgb2modelB(...)
The resulting internal routines that result are:
A simple interactive javascript-based color selector lets you interactively select colors.
The color wheel below was generated using a M_draw(3f) graphics library program (huegif.f90) that uses the M_color module.
subroutine rgbhls(r,g,b,h,l,s,status) real, intent(in) :: r ! the red component as a value of 0 to 100 real, intent(in) :: g ! the green component as a value of 0 to 100 real, intent(in) :: b ! the blue component as a value of 0 to 100 real, intent(out) :: h ! the hue value in the range of 0 to 360 degrees real, intent(out) :: l ! the lightness as a percent value from 0 to 100 real, intent(out) :: s ! the saturation as a percent from 0 to 100 integer :: status
Color RGB HLS Sample Red 100.0 0.0 0.0 0 50.0 100.0 Yellow 100.0 100.0 0.0 60 50.0 100.0 Green 0.0 100.0 0.0 120 50.0 100.0 Cyan 0.0 100.0 100.0 180 50.0 100.0 Blue 0.0 0.0 100.0 240 50.0 100.0 Magenta 100.0 0.0 100.0 300 50.0 100.0 White 100.0 100.0 100.0 (any) 100.0 (any) Black 0.0 0.0 0.0 (any) 0.0 (any) Maroon 50.0 0.0 0.0 0 25.0 100.0 Pink 100.0 50.0 50.0 0 75.0 100.0
subroutine rgbhvs(r,g,b,h,v,s,status) real, intent(in) :: r ! the red component as a value of 0 to 100. real, intent(in) :: g ! the green component as a value of 0 to 100. real, intent(in) :: b ! the blue component as a value of 0 to 100. real, intent(out) :: h ! the hue value in the range of 0 to 360 degrees real, intent(out) :: v ! the "value" as a percent value from 0 to 100. real, intent(out) :: s ! the saturation as a percent from 0 to 100. integer :: status
Color Color
nameHex (R,G,B) (H,S,V) Black #000000 (0,0,0) (0º,0%,0%) White #FFFFFF (100,100,100) (0º,0%,100%) Red #FF0000 (100,0,0) (0º,100%,100%) Lime #00FF00 (0,100,0) (120º,100%,100%) Blue #0000FF (0,0,100) (240º,100%,100%) Yellow #FFFF00 (100,100,0) (60º,100%,100%) Cyan #00FFFF (0,100,100) (180º,100%,100%) Magenta #FF00FF (100,0,100) (300º,100%,100%) Silver #C0C0C0 (75,75,75) (0º,0%,75%) Gray #808080 (50,50,50) (0º,0%,50%) Maroon #800000 (50,0,0) (0º,100%,50%) Olive #808000 (50,50,0) (60º,100%,50%) Green #008000 (0,50,0) (120º,100%,50%) Purple #800080 (50,0,50) (300º,100%,50%) Teal #008080 (0,50,50) (180º,100%,50%) Navy #000080 (0,0,50) (240º,100%,50%)
subroutine cmyrgb(c,m,y,r,g,b,status) real, intent(in) :: c ! the cyan component as a value in the range of 0 to 100 real, intent(in) :: m ! the magenta component as a value in the range of 0 to 100 real, intent(in) :: y ! the yellow component as a value in the range of 0 to 100 real, intent(out) :: r ! the red component as a value in the range of 0 to 100 real, intent(out) :: g ! the green component as a value in the range of 0 to 100 real, intent(out) :: b ! the blue component as a value in the range of 0 to 100 integer :: status
subroutine rgbcmy(r,g,b,c,m,y,status) real, intent(in) :: r ! the red component as a value in the range of 0 to 100 real, intent(in) :: g ! the green component as a value in the range of 0 to 100 real, intent(in) :: b ! the blue component as a value in the range of 0 to 100 real, intent(out) :: c ! the cyan component as a value in the range of 0 to 100 real, intent(out) :: m ! the magenta component as a value in the range of 0 to 100 real, intent(out) :: y ! the yellow component as a value in the range of 0 to 100 integer :: status
Color Color name
(C,M,Y) ( R, G, B) Hex Black (100,100,100) ( 0, 0, 0) #000000 White ( 0, 0, 0) (100,100,100) #FFFFFF Red ( 0,100,100) (100, 0, 0) #FF0000 Green (100, 0,100) ( 0,100, 0) #00FF00 Blue (100,100, 0) ( 0, 0,100) #0000FF Yellow ( 0, 0,100) (100,100, 0) #FFFF00 Cyan (100, 0, 0) ( 0,100,100) #00FFFF Magenta ( 0,100, 0) (100, 0,100) #FF00FF
subroutine rgbval(clr1,clr2,h) integer, intent(in) :: h ! H is the hue value in degrees real, intent(in) :: clr1 ! real, intent(in) :: clr2 !
subroutine hlsrgb (h,l,s,r,g,b,status) real, intent(in) :: h ! hue value in the range of 0 to 360 degrees real, intent(in) :: l ! lightness as a percent value from 0 to 100. real, intent(in) :: s ! saturation as a percent from 0 to 100. real, intent(out) :: r ! red component as a value of 0 to 100. real, intent(out) :: g ! green component as a value of 0 to 100. real, intent(out) :: b ! blue component as a value of 0 to 100. integer :: status
subroutine hvsrgb(h,v,s,r,g,b,status) real, intent(in) :: h ! H is the hue value in the range of 0 to 360 degrees real, intent(in) :: v ! V is the "value" as a percent value from 0 to 100. real, intent(in) :: s ! S is the saturation as a percent from 0 to 100. real, intent(out) :: r ! R is the red component as a value of 0 to 100. real, intent(out) :: g ! G is the green component as a value of 0 to 100. real, intent(out) :: b ! B is the blue component as a value of 0 to 100. integer :: status
subroutine yiqrgb(y,i,q,r,g,b,status) real,intent(in) :: y,i,q real,intent(out) :: r,g,b integer :: status
subroutine rgbyiq(r,g,b,y,i,q,status) real,intent(in) :: r,g,b real,intent(out) :: y,i,q integer :: status


Home
Welcome, Anand. This is the Agastya Dashboard, where you can handle all your accesibility integrations. Apart from creating a new key, you can also customise existing ones, or see how they’re doing.
| # | Name | API Key | Domains | Analytics | Customize |
|---|---|---|---|---|---|
| 1 | Class Rebels Widget | 99aa739d1ed766d68ddc578bd0b1272f | www.classrebels.co | View | Edit |
| 2 | Unifiers | 2f3067b47c8e7fcef6e8cff8f3c50ea8 | www.unifiers.in | View | Edit |
| 3 | Oswald Site | ba50d11609e929f3898bf6cfb3d17b6b | www.oswald.foundation, www.oswald.international, www.oswald.tech, oswald.press | View | Edit |
| 4 | Justice Adda | 861e66a0584a409188cc1e40bd5c50e9 | www.justiceadda.com | View | Edit |
| 5 | Vieta's Formula |<PHONE_NUMBER>93794499a89caf7a17281b | www.vieta.com | View | Edit |
| 6 | AnandChowdhary.com | e444b85877abdc2bbb370d4b3c536997 | www.anandchowdhary.com | View | Edit |


Reports variable, method or class names which contain dollar signs ('$'). While such names are legal Java, their use outside of generated java code is strongly discouraged.
Example:
class SalaryIn${}
Rename quick-fix is suggested only in the editor.


Click and drag to move the map
Scroll to zoom
Double click to move the compass
Double click again to draw a line
Click anywhere to get the cursor position (F11 in game)
Click on a port to get its information
GPS will just give you an idea of where you are, you can be anywhere in the circle