accumulator

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

谁说我不能喝 提交于 2019-12-19 06:18:19
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() #

Is there a MATLAB accumarray equivalent in numpy?

瘦欲@ 提交于 2019-12-18 18:57:16
问题 I'm looking for a fast solution to MATLAB's accumarray in numpy. The accumarray accumulates the elements of an array which belong to the same index. An example: a = np.arange(1,11) # array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) accmap = np.array([0,1,0,0,0,1,1,2,2,1]) Result should be array([13, 25, 17]) What I've done so far: I've tried the accum function in the recipe here which works fine but is slow. accmap = np.repeat(np.arange(1000), 20) a = np.random.randn(accmap.size) %timeit accum(accmap,

Is the accumulator of reduce in Java 8 allowed to modify its arguments?

大兔子大兔子 提交于 2019-12-17 18:36:24
问题 In Java 8, Stream has a method reduce: T reduce(T identity, BinaryOperator<T> accumulator); Is the accumulator operator allowed to modify either of its arguments? I presume not since the JavaDoc says the accumulator should be NonInterfering, though all examples talk of modifying the collection, rather than modifying the elements of the collection. So, for a concrete example, if we have integers.reduce(0, Integer::sum); and suppose for a moment that Integer was mutable, would sum be allowed to

Accumulator in Simulink

二次信任 提交于 2019-12-14 03:58:49
问题 I have a MATLAB function block in simulink and for each step simlulink does I want to input a counter with increment 1. Ex: 1st Step -> Acc=1 2nd Step -> Acc=2 I tried using a Count up block + Pulse generator but the time step of simulink is not constant. Any ideas? 回答1: A common way to do this is to use a sum and a memory block with an initial condition of 0. It should count steps in both fixed and variable step simulations. In fact I believe this would be build and perform very much like an

How to calculate a value for each key of a HashMap?

核能气质少年 提交于 2019-12-13 09:09:01
问题 Is there any way to set the accumulator to 0 after every time we use it and after that it still performs the same function? or How to calculate the overall value for each key in a Map like this : String, Hashmap String, Integer ? I am trying to be as clarifying as I can but I don't have a clue about that. /*EXAMPLE OF HASHMAP: String e.g - UK ; America ; Africa , etc. String e.g - black , white, asian Integer e.g- 2008 , 103432 , 2391 // for every country the values are diff */ //one way to

Cumulative sum in two dimensions on array in nested loop — CUDA implementation?

我们两清 提交于 2019-12-12 18:38:42
问题 I have been thinking of how to perform this operation on CUDA using reductions, but I'm a bit at a loss as to how to accomplish it. The C code is below. The important part to keep in mind -- the variable precalculatedValue depends on both loop iterators. Also, the variable ngo is not unique to every value of m ... e.g. m = 0,1,2 might have ngo = 1, whereas m = 4,5,6,7,8 could have ngo = 2, etc. I have included sizes of loop iterators in case it helps to provide better implementation

Spark Task not Serializable with simple accumulator?

≯℡__Kan透↙ 提交于 2019-12-12 16:16:04
问题 I am running this simple code: val accum = sc.accumulator(0, "Progress"); listFilesPar.foreach { filepath => accum += 1 } listFilesPar is an RDD[String] which throws the following error: org.apache.spark.SparkException: Task not serializable Right now I don't understand what's happening and I don't put parenthesis but brackets because I need to write a lengthy function. I am just doing unit testing 回答1: The typical cause of this is that the closure unexpectedly captures something. Something

Spark: Create new accumulator type won't work (Scala)

穿精又带淫゛_ 提交于 2019-12-12 01:24:59
问题 I want to create an accumulator for lists of type List[(String, String)]. I first created the following object: object ListAccumulator extends AccumulatorParam[List[(String, String)]] { def zero(initialValue: List[(String, String)]): List[(String, String)] = { Nil } def addInPlace(list1: List[(String, String)], list2: List[(String, String)]): List[(String, String)] = { list1 ::: list2 } } In the same file (SparkQueries.scala) I tried to use it within a function in my class: val resultList =

finding cosine using python

橙三吉。 提交于 2019-12-12 01:06:09
问题 I must write a function that computes and returns the cosine of an angle using the first 10 terms of the following series: cosx = 1 - (x**2)/2! + (x**4)/4! - (x**6)/6!.... I can't use the factorial function, but i can use the fact that if the previous denominator was n! , the current denominator would be n!(n+1)(n+2) . I'm trying to use an accumulator loop, but i'm having a hard time with the fact that it alternates from positive to negative and also having trouble with the denominator. This

Windows Ce 5.0 vs Windows Mobile 6

…衆ロ難τιáo~ 提交于 2019-12-11 21:46:59
问题 I'm thinking of purchasing Opticon PHL 7112 accumulator which runs on Windows CE 5.0 i was wondering will i be able to: develop an application that connects to an open MSSQL database is there a capability to get data from a SOAP web service? i saw that only visual studio 2008 support development for windows ce, is there a way to enable this on visual studio 2010-2012 ? if possible to connect to MSSQL database how to do it if only possible to connect to a SOAP web services how to do it I'm new