Change default graph caching behavior to false
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@@ -29,10 +29,6 @@ Unfortunately, it's a fairly new algorithm, and not yet implemented by the graph
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So this program instead uses the Fibonacci heap-based algorithm of Fredman and Tarjan (1987), which has a worst-case
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runtime of **O(n (n log(n) + m))**. The algorithm is implemented as described in Melhorn and Näher (1999).
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The current version of the program uses a pairing heap instead of a Fibonacci heap for its priority queue,
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which has lower theoretical efficiency but also lower complexity overhead, and is often equivalently performant
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in practice.
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## USAGE
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### RUNNING THE PROGRAM
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@@ -91,7 +87,7 @@ or caching is turned off for that file type. The program checks whether it needs
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filenames as entered by the user. On encountering a new filename, the program flushes its cache and reads in the new file.
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The program's caching behavior can be controlled in the Options menu. By default, caching for cell sample and
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sample plate files is OFF, and caching for graph/data files is ON.
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sample plate files is OFF, and caching for graph/data files is OFF.
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#### Cell Sample Files
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Cell Sample files consist of any number of distinct "T cells." Every cell contains
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@@ -12,8 +12,8 @@ public class BiGpairSEQ {
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private static String graphFilename = null;
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private static boolean cacheCells = false;
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private static boolean cachePlate = false;
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private static boolean cacheGraph = true;
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private static String priorityQueueHeapType = "PAIRING";
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private static boolean cacheGraph = false;
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private static String priorityQueueHeapType = "FIBONACCI";
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public static void main(String[] args) {
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if (args.length == 0) {
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