constants

jQuery constants as variables for calling functions

只愿长相守 提交于 2021-02-19 01:32:16
问题 In jQuery, is it possible to have a variable as a constant? I know it is not possible in many other languages, but jQuery never ceases to surprise me. Maybe this isn't the right question, anyway, I am trying to use a loop index as an ID, of which the ID calls a method. Through each loop the ID changes and I'm trying to trigger the same function from a set of different a elements. How can I change my code to have a dynamic caller? for(var i in data.items) { var id = $(i); var viewMore = $("<a

How to call a constant as a function name?

随声附和 提交于 2021-02-18 22:59:13
问题 In PHP, you can call functions by calling their name inside a variable. function myfunc(){ echo 'works'; } $func = 'myfunc'; $func(); // Prints "works" But, you can't do this with constants. define('func', 'myfunc'); func(); // Error: function "func" not defined There are workarounds, like these: $f = func; $f(); // Prints "works" call_user_func(func); // Prints "works" function call($f){ $f(); } call(func); // Prints "works" The PHP documentation on callable says: A PHP function is passed by

Save/load a keras model with constants

自古美人都是妖i 提交于 2021-02-18 18:57:11
问题 I have a Keras model where I'd like to add a constant to the predictions. After some googling, I've ended up with the following code, which does exactly what I want: import numpy as np from keras.layers import Input, Add from keras.backend import variable from keras.models import Model, load_model inputs = Input(shape=(1,)) add_in = Input(tensor=variable([[5]]), name='add') output = Add()([inputs, add_in]) model = Model([inputs, add_in], output) model.compile(loss='mse', optimizer='adam') X =

Save/load a keras model with constants

房东的猫 提交于 2021-02-18 18:56:04
问题 I have a Keras model where I'd like to add a constant to the predictions. After some googling, I've ended up with the following code, which does exactly what I want: import numpy as np from keras.layers import Input, Add from keras.backend import variable from keras.models import Model, load_model inputs = Input(shape=(1,)) add_in = Input(tensor=variable([[5]]), name='add') output = Add()([inputs, add_in]) model = Model([inputs, add_in], output) model.compile(loss='mse', optimizer='adam') X =

Const multi-dimensional array initialization

江枫思渺然 提交于 2021-02-18 09:59:27
问题 Why does the following work? class A { public int[,] i = { { 1, 2, 3 }, { 1, 2, 3 }, { 1, 2, 3 } }; static void Main(string[] args) { } } Whereas the following does not? class A { public const int[,] i = { { 1, 2, 3 }, { 1, 2, 3 }, { 1, 2, 3 } }; static void Main(string[] args) { } } It does not allow for a const reference type other than string to be assigned anything other than null. Since it's an array (reference) it must be assigned null(?). How would it be initialized if it's constant

Order of const and volatile for a variable

北慕城南 提交于 2021-02-16 20:15:09
问题 The following piece of code compiles and runs with gcc version 4.7.2 (Debian 4.7.2-5) : #include <stdio.h> int main() { const volatile x = 3; volatile const y = 4; return 0; } Should I assume that the order of const and volatile is irrelevant? I tried reading up here : encpp ref and it doesn't say anything about the order(or I'm missing it?) 回答1: Yes, the order is irrelevant. In C++, the relevant specification is in 7.1p1, decl-specifier and decl-specifier-seq , which basically explain that

Where does the memory is allocated for static,constant and readonly fields?

会有一股神秘感。 提交于 2021-02-16 13:23:21
问题 I have used the three fields in the program and got the difference in usage but I am little confused where does these fields are getting stored? either in data segment(stack or heap?) or code segment? static int a; const int b=1235; readonly int c; in ILDASM the the fields are described as the following for static: .field private static int32 a for constant: .field private static literal int32 b = int32(0x000004D3) for readonly: .field private initonly int32 c 回答1: As you know const is static

Correct way to use __constant__ memory on CUDA?

邮差的信 提交于 2021-02-11 10:25:08
问题 I have an array I would like to initialize in __constant__ memory on the CUDA device. I don't know it's size or the values until runtime. I know I can use __constant__ float Points[**N**][2] or something like that, but how do I make this dynamic? Maybe in the form of __constant__ float* Points ? Is this possible? And possibly more important, is this a good idea? If there are better alternatives to doing it like this I would love to hear them. 回答1: As it has been discussed in Dynamic

Enumerating string constants with iota

给你一囗甜甜゛ 提交于 2021-02-10 18:48:38
问题 The following example defines a series of port numbers starting at 3333 using iota. package main import ( "fmt" ) const ( FirstPort = iota+3333 SecondPort ThirdPort ) func main() { hostAndPort := "localhost:"+fmt.Sprint(SecondPort) fmt.Printf("%s", hostAndPort ) // Output: // localhost:3334 } When combining hostname and ports, I'd like to avoid having to wrap the port constant in fmt.Sprint and simply write, for example, "localhost:"+SecondPort . Is there a way to use iota to define the port

NodeJs define global constants

二次信任 提交于 2021-02-10 05:53:29
问题 im wondering how to define global constants in node js. My approach so far: constants.js: module.exports = Object.freeze({ MY_CONST: 'const one'}); controller.js: var const = require(./common/constants/constants.js); console.log(const.MY_CONST) ==> const one const.MY_CONST ='something' console.log(const.MY_CONST) ==> const one Ok thats fine so far. But then i wanted to structure my constants like this: constants.js: module.exports = Object.freeze({ MY_TOPIC: { MY_CONST: 'const one' } });