array

Trying to understand array_diff_uassoc optimization

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: It seems that arrays sorted before comparing each other inside array_diff_uassoc . What is the benefit of this approach? Test script function compare($a, $b) { echo("$a : $b\n"); return strcmp($a, $b); } $a = array('a' => 1, 'b' => 2, 'c' => 3, 'd' => 4, 'e' => 5); $b = array('v' => 1, 'w' => 2, 'x' => 3, 'y' => 4, 'z' => 5); var_dump(array_diff_uassoc($a, $b, 'compare')); $a = array('a' => 1, 'b' => 2, 'c' => 3, 'd' => 4, 'e' => 5); $b = array('d' => 1, 'e' => 2, 'f' => 3, 'g' => 4, 'h' => 5); var_dump(array_diff_uassoc($a, $b, 'compare'));

what is difference between defining char a[5] and char (*a)[5]? [duplicate]

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: This question already has an answer here: C pointer to array/array of pointers disambiguation 11 answers I just want to make sure the difference between *a[5] and (*a)[5] in C language. I know that the *a[5] means the array a can have five elements and each element is pointer. so, char *p = "ptr1"; char *p2 = "ptr2"; char *a[5] = { p , p2 }; It does make sense. But when I changed *a[5] to (*a)[5] it doesn't work. char (*a)[5] = { p , p2}; What does (*a)[5] mean exactly? In addition, is there any difference between *a[5] and a[5][] , and (*a)

How to dynamically allocate an array of pointers in C++?

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have the following class class Node { int key ; Node ** Nptr ; public : Node ( int maxsize , int k ); }; Node :: Node ( int maxsize , int k ) { //here i want to dynamically allocate the array of pointers of maxsize key = k ; } Please tell me how I can dynamically allocate an array of pointers in the constructor -- the size of this array would be maxsize. 回答1: Node :: Node ( int maxsize , int k ) { NPtr = new Node *[ maxsize ]; } But as usual, you are probably better off using a std::vector of pointers. 回答2: That will be Nptr =

Using an Array of Ranges in VBA - Excel

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Does VBA support using an array of range variables? dim rangeArray() as range dim count as integer dim i as integer count = 3 redim rangeArray(1 to count) for i = 1 to count msgbox rangeArray(i).cells(1,1).value next I can't get it to work in this type of application. I want to store a series of ranges in a certain order as a "master copy". I can then add, delete, sort or do whatever to this array and then just print it out to a series of ranges in excel. It doesn't seem like excel supports this - it just forces you to store your data in the

Numpy Array summing with weights

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have a two dimensional numpy array. Each row is three elements long and is an integer 0-3. This represents a 6 bit integer, with each cell representing two bits, in order. I'm trying to transform them into the full integer. E.g. for i in range(len(myarray)): myarray[i] = myarray[i][0] * 16 + myarray[i][1] * 4 + myarray[i][2] E.g. I'm trying to sum each row but according to a certain weight vector of [16,4,1]. What is the most elegant way to do this? I'm thinking I have to do some sort of dot product followed by a sum, but I'm not 100%

Pass array as an UDF parameter in Spark SQL

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'm trying to transform a dataframe via a function that takes an array as a parameter. My code looks something like this: def getCategory(categories:Array[String], input:String): String = { categories(input.toInt) } val myArray = Array("a", "b", "c") val myCategories =udf(getCategory _ ) val df = sqlContext.parquetFile("myfile.parquet) val df1 = df.withColumn("newCategory", myCategories(lit(myArray), col("myInput")) However, lit doesn't like arrays and this script errors. I tried definining a new partially applied function and then the udf

java warning: Varargs method could cause heap pollution from non-reifiable varargs parameter

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am using IntelliJ IDEA with javac on JDK 1.8. I have the following code: class Test<T extends Throwable> { @SafeVarargs final void varargsMethod( Collection<T>... varargs ) { arrayMethod( varargs ); } void arrayMethod( Collection<T>[] args ) { } } IntelliJ IDEA does not highlight anything in the above code as a warning. However, when compiling, the following line appears in the "Make" tab of the "Messages" view: Warning:(L, C) java: Varargs method could cause heap pollution from non-reifiable varargs parameter varargs Note #1: I have

RxJS: Splitting an array result from Observable.fromPromise

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'm using RxJS here and I can't seem to get over this seemingly simple issue. rx.Observable .from([1,2,3,54,3,22,323,23,11,2]) .distinct() .subscribe(function next (x) { console.log('Next'); console.log(x); }, function error (x) { console.log('Error'); console.log(x); }, function completed () { console.log('Completed'); }); The above code spits out each array item in order as expected. rx.Observable .fromPromise(getNumbers([1,2,3,54,3,22,323,23,11,2])) .distinct() .subscribe(function next (x) { console.log('Next'); console.log(x); },

Arrays.asList vs. Arrays.stream to use forEach()

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: If you have an Array and you want to use the Java8 forEach() method, which approach is better or more efficient: Arrays.asList(new String[]{"hallo","hi"}).forEach(System.out::println); or Arrays.stream(new String[]{"hallo","hi"}).forEach(System.out::println); Is the difference significant or are there any better solutions to solve this? 回答1: Neither. If you already had an array, String[] array; I would use: Arrays.stream(array).forEach(System.out::println); because you leave the conversion of the array to a stream to the JDK - let it be

Saving numpy array to csv produces TypeError Mismatch

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have a numpy array with numeric data of the form: example = numpy.array([[[i for i in range(0, 5)],[0 for j in range(0, 5)]] for k in range(0, 10)]) So it's array of 10 groups, where each group consists of 2 lists of equal length and contains only numbers. Running the following save code gives me the error below: numpy.savetxt('exampleData.csv', test, delimiter=',') TypeError: Mismatch between array dtype ('int32') and format specifier ('%.18e %.18e') I'm guessing this could be fixed with something in the fmt='xyz' argument, but the