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How can I convert a zero-terminated byte array to string?
I need to read [100]byte to transfer a bunch of string data.
13 Answers
13
...
How do I do base64 encoding on iOS?
..., 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v',
'w', 'x', 'y', 'z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '+', '/'
};
@implementation NSString (NSStringAdditions)
+ (NSString *) base64StringFromData: (NSData *)data length: (int)length {
unsigned long ixtext, lentext;
long ctr...
How can I remove the decimal part from JavaScript number?
...
403
You could use...
Math.trunc() (truncate fractional part, also see below)
Math.floor() (round ...
How to create GUID / UUID?
... be of the form "xxxxxxxx-xxxx-Mxxx-Nxxx-xxxxxxxxxxxx", where x is one of [0-9, a-f] M is one of [1-5], and N is [8, 9, a, or b]
Use of a low-quality source of randomness (such as Math.random)
Thus, developers writing code for production environments are encouraged to use a rigorous, well-maintain...
Minimizing NExpectation for a custom distribution in Mathematica
...f we plot pdf2 it looks exactly as your Plot
Plot[pdf2[3.77, 1.34, -2.65, 0.40, x], {x, 0, .3}]
Now to the expected value. If I understand it correctly we have to integrate x * pdf[x] from -inf to +inf for a normal expected value.
x * pdf[x] looks like
Plot[pdf2[3.77, 1.34, -2.65, 0.40, x]*x...
Algorithm for Determining Tic Tac Toe Game Over
...;
//check end conditions
//check col
for(int i = 0; i < n; i++){
if(board[x][i] != s)
break;
if(i == n-1){
//report win for s
}
}
//check row
for(int i = 0; i < n; i++){
...
Given an array of numbers, return array of products of all other numbers (no division)
...
260
An explanation of polygenelubricants method is:
The trick is to construct the arrays (in the c...
How to center absolute div horizontally using CSS?
...v and want it to be centered horizontally - although I'm giving it margin:0 auto; it's not centered...
8 Answers
...
How to filter Pandas dataframe using 'in' and 'not in' like in SQL
...where)
As a worked example:
import pandas as pd
>>> df
country
0 US
1 UK
2 Germany
3 China
>>> countries_to_keep
['UK', 'China']
>>> df.country.isin(countries_to_keep)
0 False
1 True
2 False
3 True
Name: country, dtype: bool
>>&gt...