accumulator

Spark: Accumulators does not work properly when I use it in Range

Deadly 提交于 2021-02-07 10:10:31
问题 I don't understand why my accumulator hasn't been updated properly by Spark. object AccumulatorsExample extends App { val acc = sc.accumulator(0L, "acc") sc range(0, 20000, step = 25) map { _ => acc += 1 } count() assert(acc.value == 800) // not equals } My Spark config: setMaster("local[*]") // should use 8 cpu cores I'm not sure if Spark distribute computations of accumulator on every core and maybe that's the problem. My question is how can I aggregate all acc values in one single sum and

Spark: Accumulators does not work properly when I use it in Range

不想你离开。 提交于 2021-02-07 10:10:29
问题 I don't understand why my accumulator hasn't been updated properly by Spark. object AccumulatorsExample extends App { val acc = sc.accumulator(0L, "acc") sc range(0, 20000, step = 25) map { _ => acc += 1 } count() assert(acc.value == 800) // not equals } My Spark config: setMaster("local[*]") // should use 8 cpu cores I'm not sure if Spark distribute computations of accumulator on every core and maybe that's the problem. My question is how can I aggregate all acc values in one single sum and

Does it matter which registers you use when writing assembly?

守給你的承諾、 提交于 2020-12-03 07:27:10
问题 If you're writing assembly, does it matter which registers you allocate values to? Say, you store an accumulated/intermediate value in %ebx instead of %eax, which was traditionally used for that purpose. Is that bad practice? Will it affect performance? In other words, can you treat them equally as storage space, or should you stick to using them for specific purposes? 回答1: First and foremost, you have to use registers that support the instructions you want to use. Many instructions on x86

accumulator in pyspark with dict as global variable

痞子三分冷 提交于 2020-08-25 05:58:45
问题 Just for learning purpose, I tried to set a dictionary as a global variable in accumulator the add function works well, but I ran the code and put dictionary in the map function, it always return empty. But similar code for setting list as a global variable class DictParam(AccumulatorParam): def zero(self, value = ""): return dict() def addInPlace(self, acc1, acc2): acc1.update(acc2) if __name__== "__main__": sc, sqlContext = init_spark("generate_score_summary", 40) rdd = sc.textFile('input')

Show the accumulator result after use houghcircles opencv function

二次信任 提交于 2020-01-25 02:47:08
问题 Please I want to draw accumulator output for opencv hougcircles function. . The function run ok and detected the circle (center&radius) only I want to show the accumulator for this function The path for function Opencv\modules\imgprocs\src\hough.cpp The function name for hough circle icvHoughCirclesGradient the parameter for accumulator is "accum". Any help please Thanks 来源: https://stackoverflow.com/questions/28718956/show-the-accumulator-result-after-use-houghcircles-opencv-function

Converting a decimal to a 16 bit binary using unsigned char and without string [closed]

这一生的挚爱 提交于 2020-01-06 06:40:21
问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed last year . My code works if I use operand 1 and operand 2 as integers. Using unsigned char operand 1 does not work. Can you help me? int ALU(unsigned char operand1, unsigned char operand2) { printf("Enter Operand 1(in decimal): "); scanf("%d",&operand1); printf("\nEnter Operand 2(in decimal): "); scanf("%d",

Apache Spark timing forEach operation on JavaRDD

心已入冬 提交于 2019-12-25 07:14:43
问题 Question: Is this a valid way to test the time taken to build a RDD? I am doing two things here. The basic approach is that we have M instances of what we call a DropEvaluation, and N DropResults. We need to compare each N DropResult to each of M DropEvaluations. Each N must be seen by each M, to give us M results in the end. If I don't use the .count() once the RDD is built, the driver continues on to the next line of code and says it look almost no time to build a RDD that takes 30 minutes

Accumulator in VHDL

被刻印的时光 ゝ 提交于 2019-12-24 18:15:56
问题 this my code for an accumulator: library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; entity akkumulator is generic (N : natural:=1); port(rst: in bit; clk: in bit; B : in natural range 0 to N-1; A : out natural range 0 to N-1); end akkumulator; architecture verhalten of akkumulator is begin p1: process(rst, clk) variable ergebnis : natural range 0 to N-1; begin if (rst = '1') then ergebnis := 0; elseif (clk'event and clk = '1') then ergebnis := ergebnis + B; end if; A <=

size of tree using accumulator

放肆的年华 提交于 2019-12-24 01:48:16
问题 I am tryin to learn prolog and got stuck in one of the toy example. binary_tree is defined as: The term '-' (the minus symbol) represents the empty tree. The term t(L,V,R) represents a tree with left subtree L, node value V, and right subtree R. now Im trying to write the predicate size(Tree,N) to find the size of tree. I know it is possible using the following : size( -,0). size( t(L, _,R), S) :- size(L,Ls), size(R,Rs), S is Ls + Rs + 1. but I want to make it work using accumulator. I tired

Python 3.2 - readline() is skipping lines in source file

北慕城南 提交于 2019-12-19 06:19:02
问题 I have a .txt file that I created with multiple lines. when I run a for loop, with a count accumulator, it skips lines. It skips the top line, and starts with the second, prints the fourth, the sixth, etc... What is it I'm missing? ** for your reading pleasure** def main(): # Open file line_numbers.txt data_file = open('line_numbers.txt', 'r') # initialize accumulatior count = 1 # Read all lines in data_file for line in data_file: # Get the data from the file line = data_file.readline() #