array

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: In Python, is it possible for your class's __rmul__ method to override another class's __mul__ method, without making changes to the other class? This question arises since I'm writing a class for a certain type of linear operator, and I want it to be able to multiply numpy arrays using the multiplication syntax. Here is a minimal example illustrating the issue: import numpy as np class AbstractMatrix(object): def __init__(self): self.data = np.array([[1, 2],[3, 4]]) def __mul__(self, other): return np.dot(self.data, other) def __rmul__(self

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 want to create an array which holds all the max() es of a window moving through a given numpy array. I'm sorry if this sounds confusing. I'll give an example. Input: [ 6,4,8,7,1,4,3,5,7,2,4,6,2,1,3,5,6,3,4,7,1,9,4,3,2 ] My output with a window width of 5 shall be this: [ 8,8,8,7,7,7,7,7,7,6,6,6,6,6,6,7,7,9,9,9,9 ] Each number shall be the max of a subarray of width 5 of the input array: [ 6,4,8,7,1,4,3,5,7,2,4,6,2,1,3,5,6,3,4,7,1,9,4,3,2 ] \ / \ / \ / \ / \ / \ / \ / \ / [ 8,8,8,7,7,7,7,7,7,6,6,6,6,6,6,7,7,9,9,9,9 ] I did not find an out

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: Following a question asked here earlier today and multitudes of similary themed questions, I'm here to ask about this problem from stadard's viewpoint. struct Base { int member; }; struct Derived : Base { int another_member; }; int main() { Base* p = new Derived[10]; // (1) p[1].member = 42; // (2) delete[] p; // (3) } According to standard (1) is well-formed, because Dervied* (which is the result of new-expression ) can be implicitly converted to Base* (C++11 draft, §4.10/3): A prvalue of type “pointer to cv D”, where D is a class type, can

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: Are there any substantial reasons why modifying Array.push() to return the object pushed rather than the length of the new array might be a bad idea? I don't know if this has already been proposed or asked before; Google searches returned only a myriad number of questions related to the current functionality of Array.push() . Here's an example implementation of this functionality, feel free to correct it: ;( function () { var _push = Array . prototype . push ; Array . prototype . push = function () { return this [ _push . apply (

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 want to save/recall an integer array using SharedPreferences, is this possible? 回答1: You can try to do it this way: Put your integers into a string, delimiting every int by a character, for example a comma, and then save them as a string: SharedPreferences prefs = getPreferences ( MODE_PRIVATE ); int [] list = new int [ 10 ]; StringBuilder str = new StringBuilder (); for ( int i = 0 ; i < list . length ; i ++) { str . append ( list [ i ]). append ( "," ); } prefs . edit (). putString ( "string" , str . toString ()); Get the

<?php header ( "Content-Type: text/html; charset=utf-8" ); class Lunar{ var $MIN_YEAR=1891; var $MAX_YEAR=2100; var $lunarInfo=array( array(0,2,9,21936),array(6,1,30,9656),array(0,2,17,9584),array(0,2,6,21168),array(5,1,26,43344),array(0,2,13,59728), array(0,2,2,27296),array(3,1,22,44368),array(0,2,10,43856),array(8,1,30,19304),array(0,2,19,19168),array(0,2,8,42352), array(5,1,29,21096),array(0,2,16,53856),array(0,2,4,55632),array(4,1,25,27304),array(0,2,13,22176),array(0,2,2,39632), array(2,1,22,19176),array(0,2,10,19168),array(6,1,30,42200),array(0,2,18,42192),array(0,2,6,53840),array(5,1,26

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 modelling the Riemann theta function: import numpy as np def theta(s, n=100): a_range = np.arange(2, n + 1) return 1 + sum(1/(a_range ** s)) It does not work for negative s ; e.g. theta(-2) leads to this error: 1 def theta(s, n=100): 2 a_range = np.arange(1) ----> 3 return 1 + sum(1/(a_range ** s)) 4 5 theta(-2) ValueError: Integers to negative integer powers are not allowed. Why's that? x^-1 should just be 1/x if i recall my math correctly. 回答1: In NumPy, the logic used to choose the output dtype of an operation like a_range ** s is

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 came across following problem: 'Find all the elements in an array which occur odd number of times'. My thoughts about this are: Use HashMap : Add values in the array as keys in the HashMap. The value corresponding to each key will be number of times that key is encountered. Sort the array using Quick sort in O(N log N) and then traverse through the array to check which elements occur odd number of times. What do you think, is there any other approach to this? If no, then which of these 2 approaches is better? Thanks in advance! 回答1:

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 Hex file created by CashRegister Machine. I have to read this file in. File uses formatting detailed below. It is like socket packets. Code Data : 2 Byte PLU Code Data: 7 Byte Unit Price Data: 5 Byte Quantity Data: 5 Byte Total Amount Data: 5 Byte PLU Name Data: 18 Byte Tax Rate Data: 1 Byte Length: 24 + 19 Byte PLU code format is BCD Unit price 1-9999999999 (BCD) quantity 1-9999999999 (BCD last 3 numbers should be decimal) total amount 1-9999999999 (BCD) I read in the hex file with a binary reader and then insert int the Unit Price

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: We can declare a typed tuple in TypeScript, for example, with the type annotation [string, number] . This means an array of 2 elements where the first element needs to be a string and the second a number. We can also declare read-only arrays with ReadonlyArray<string> which means a read-only array of strings. Now I want to have a read-only tuple like in the first example, but I want it to be read-only like in the second example. How would I declare that? 回答1: Since the type [string, number] already is an Array , you can simply use: Readonly<