I am working on this problem.
"Given an array, find the int that appears an odd number of times.
There will always be only one integer that appears an odd number of times."
I came up with this solution online:
function findOdd(A) {
var n = 0;
for(var i = 0; i < A.length; i++){
n = n^A[i];
}
return n;
}
This works but I am not sure why and i was hoping someone could explain it to me. I just don't understand the line:
n = n^A[i];
Could you please tell me what it is doing in this instance?
Xoring any number with itself will result in 0. If you know that there's only one number that appears an odd number of times, the others will cancel themselves out by self-xoring, and the answer will be the remaining number that appears an odd number of times.
XOR of two same numbers is always zero. That is,
A^A=0
So, if you XOR a particular number with itself repeatedly for even number of times, the result will be zero.
Here, initially the value of n is zero. The number that will be XOR-ed even number of times, will result zero. And the number that is present odd number of times, say 2m+1number of times, will result in zero for 2m occurrences, and that same number for the final one occurrence.
This is how this solution works.
^ is an exor bit wise operator . so when you do
1 ^ 1 is 0
0 ^ 1 is 1
1 ^ 0 is 1
0 ^ 0 is 0
so to find the odd number of 1's the following code does is
initially result is arr[0] is 1 .
so in the arrary 0^ 0 becomes 0 and 2 ^ 2 becomes 0 and there are 3 1's so 1^1 gets 0 and with 0 ^1 we are leftout with the number which repeats odd nubmer of times
var arr=[1,1,1,0,0,2,2];
var result=arr[0];
for(var i=1;i<arr.length;i++)
result=result ^ arr[i];
console.log(result);
Hope it helps
Bitwise operators work on 32 bits numbers. Any numeric operand in the operation is converted into a 32 bit number. The result is converted back to a JavaScript number. ^ is a bitwise XOR javascript operator.
Bitwise XOR Operator returns a one in each bit position for which the corresponding bits of either but not both operands are ones.
a XOR b yields 1 if a and b are different. The truth table for the XOR operation is:
a b a XOR b
0 0 0
0 1 1
1 0 1
1 1 0
Explanation for expression n = n^A[i];
let A = [1,2,3,4,5]
for n=0, i=0 => 0 ^ A[0] => 0 ^ 1 => converted to binary 0000 ^ 0001 results to 0001 which is equal to 1
for n=1, i=1 => 1 ^ A[1] => 1 ^ 1 => converted to binary 1111 ^ 0010 results to 1101 which is equal to 13
and so on... Hope this solution helps you to understand the above expression and clear your all doubts.
Related
I came across this problem.
Print all possible strings that can be made by placing spaces.
I also came across this solution.
var spacer = function (input) {
var result = '' ;
var inputArray = input.split('');
var length = inputArray.length;
var resultSize = Math.pow(2,length-1); // how this works
for(var i = 0 ; i< resultSize ; i++){
for(var j=0;j<length;j++){
result += inputArray[j];
if((i & (1<<j))>0){ // how this works
result += ' ' ;
}
}
result += '\n' ;
}
return result;
}
var main = function() {
var input = 'abcd' ;
var result = spacer(input);
console.log(result);
}
main();
I am not getting how the marked lines work?
Can you clarify on what technique is being used? And what is the basic logic behind this? What are some of other areas where we can use this?
Thanks.
Let's take string abcd as an example.
There are 3 possible places where space can be put:
Between "a" and "b"
Between "b" and "c"
Between "c" and "d"
So generally if length of your string is length then you have length - 1 places for spaces.
Assume that each such place is represented with a separate digit in a binary number. This digit is 0 when we don't put space there, and 1 when we do. E.g.:
a b c d
0 0 0 means that we don't put any spaces - abcd
0 0 1 means that we put space between "c" and "d" only - abc d
0 1 0 means that we put space between "b" and "c" only - ab cd
0 1 1 means ab c d
1 0 0 means a bcd
1 0 1 means a bc d
1 1 0 means a b cd
1 1 1 means a b c d
Converting 000, 001, 010, ..., 111 from binary to decimal will give us values 0, 1, 2, ..., 7.
With 3 places for spaces we have 8 options to put them. It's exactly 2^3 or 2^(length - 1).
Thus we need to iterate all numbers between 0 (inclusive) and 2^(length - 1) (exclusive).
Condition (i & (1 << j)) > 0 in the code you provided just checks whether digit at position j (starting from the end, 0-based) is 0 (and we don't need to insert space) or 1 (and space should be added).
Let's take value 6 (110 in binary) for example.
(6 & (1 << 0)) = 110 & 001 = 000 = 0 (condition > 0 is not met)
(6 & (1 << 1)) = 110 & 010 = 010 = 2 (condition > 0 is met)
(6 & (1 << 2)) = 110 & 100 = 100 = 4 (condition > 0 is met)
simple solution Using Javascript
String.prototype.splice = function(idx, rem, str) {
return this.slice(0, idx) + str + this.slice(idx + Math.abs(rem));
};
function printPattern(str, i, n){
if(i==n){
return;
}
var buff = str;
var j = str.length - n + i;
buff = str.splice(j,0," ");
console.log(buff);
printPattern(str, i+1, n);
printPattern(buff, i+1, n);
}
var str = "ABCD"
printPattern(str, 1, str.length);
console.log(str);
There are 2 possibilities between each 2 characters: either has space or not. If spaces are allowed only between characters then the number of possibilities for 4 characters is 2 * 2 * 2 or 2 ^ (length - 1)
resultSize = Math.pow(2, length - 1) says there are 2^n-1 possible ways to print a string given the problem definition. As far as to why that is the number of solutions is pretty easy to understand if you start with a string that has 2 characters and work your way upward. So pretend you have the string "ab". There is two solutions, you can put a space between a and b or you can not put a space between a and b. Lets add a character to get "abc". Well, we already know that there are two solutions for the string "ab" so we need multiply that solution by the number of ways you can put a space between b and c. Which is 2 so that gives us 2 * 2 solutions. You can extend that to a string of n size. So that means that the number of solutions is 2 * 2 * 2 * 2 * ... n - 1. Or in otherwords 2 ^ n-1.
The next part is a little trickier, but its a clever way of determining how many spaces and where they go in any given solution. The bitwise & takes the each bit of two numbers, compares them, then spits out a new number where each bit is a 1 if both the bits of the two numbers were 1, or 0 if the bits were not 1 and 1. For example (binary numbers):
01 & 01 = 01
10 & 01 = 00
Or a bigger example:
10010010 & 10100010 = 10000010
The << operator just moves all bits n position to left where n is the right hand expression (multiply by 2 n times).
For example:
1 << 1 = 2
2 << 1 = 4
2 << 2 = 8
1 << 4 = 8
So back to your code now. Lets break down the if statement
if(i & (1 << j) > 0){ ... }
In english this says, if the number index of the solution we are looking at shares any 1 bits with 1 shifted by the index of the character we are looking at, then put a space after that character. Olexiy Sadovnikov's answer has some good examples of what this would look like for some of the iterations.
Its also worth noting that this is not the only way to do this. You could pretty easily determine that the max number of spaces is n - 1 then just linearly find all of the solutions that have 0 spaces in them, then find all the solutions that have 1 space in them, then 2 spaces .... to n - 1 spaces. Though the solution you posted would be faster than doing it this way. Of course when your talking about algorithms of exponential complexity it ultimately won't matter because strings bigger than about 60 chars will take longer than you probably care to wait for even with a strictly 2^n algorithm.
In answer to the question of how these techniques can be used in other places. Bit shifting is used very frequently in encryption algorithms as well as the bitwise & and | operators.
'''
The idea was to fix each character from the beginning and print space separated rest of the string.
Like for "ABCD":
A BCD # Fix A and print rest string
AB CD # Add B to previous value A and print rest of the string
ABC D # Add C to previous value AB and print rest of the string
Similarly we can add a space to produce all permutations.
Like:
In second step above we got "AB CD" by having "A" as prefix
So now we can get "A B CD" by having "A " as a prefix
'''
def printPermute(arr, s, app):
if len(arr) <= 1:
return
else:
print(app +''+arr[0:s] +' '+ arr[s:len(arr)])
prefix = app + ''+arr[0:s]
suffix = arr[s:len(arr)]
printPermute(suffix, 1, prefix)
printPermute(suffix, 1, prefix+' ') #Appending space
printPermute("ABCDE", 1, '') #Empty string
.pow is a method from Math which stands for "power". It takes two arguments: the base (here 2) and the exponent. Read here for more information.
& is the bitwise AND operator, it takes the two binary representation of the numbers and performs a logical AND, here's a thread on bitwise operators
EDIT: why Math.pow(2,length-1) gives us the number of possible strings?
I remember doing it in an exercise last year in math class, but I'll try to explain it without sums.
Essentially we want to determine the number of strings you can make by adding one or no space in between letters. Your initial string has n letters. Here's the reason why:
Starting from the left or the word after each letter you have two choices
1 - to put a space
2 - not to put a space
You will have to choose between the two options exactly n-1 times.
This means you will have a total of 2^(n-1) possible solutions.
I have some JavaScript code:
<script type="text/javascript">
$(document).ready(function(){
$('#calcular').click(function() {
var altura2 = ((($('#ddl_altura').attr("value"))/100)^2);
var peso = $('#ddl_peso').attr("value");
var resultado = Math.round(parseFloat(peso / altura2)*100)/100;
if (resultado > 0) {
$('#resultado').html(resultado);
$('#imc').show();
};
});
});
</script>
What does the ^ (caret) symbol mean in JavaScript?
The ^ operator is the bitwise XOR operator. To square a value, use Math.pow:
var altura2 = Math.pow($('#ddl_altura').attr("value")/100, 2);
^ is performing exclusive OR (XOR), for instance
6 is 110 in binary, 3 is 011 in binary, and
6 ^ 3, meaning 110 XOR 011 gives 101 (5).
110 since 0 ^ 0 => 0
011 0 ^ 1 => 1
--- 1 ^ 0 => 1
101 1 ^ 1 => 0
Math.pow(x,2) calculates x² but for square you better use x*x as Math.pow uses logarithms and you get more approximations errors. ( x² ~ exp(2.log(x)) )
Its called bitwise XOR. Let me explain it:
You have :
Decimal Binary
0 0
1 01
2 10
3 11
Now we want 3^2= ?
then we have 11^10=?
11
10
---
01
---
so 11^10=01
01 in Decimal is 1.
So we can say that 3^2=1;
This is the bitwise XOR operator.
The bitwise XOR operator is indicated
by a caret ( ^ ) and, of course, works
directly on the binary form of
numbers. Bitwise XOR is different from
bitwise OR in that it returns 1 only
when exactly one bit has a value of 1.
Source: http://www.java-samples.com/showtutorial.php?tutorialid=820
This question already has answers here:
Is there a & logical operator in Javascript
(8 answers)
Closed 6 years ago.
I'm looking over the solutions for a CodeWars problem (IQ Test) in which you're given a string of numbers and all the numbers but 1 are either even or odd. You need to return the index plus 1 of the position of the number that's not like the rest of the numbers.
I'm confused about the line that says & 1 in the solution posted below. The code doesn't work w/ && or w/ the & 1 taken away.
function iqTest(numbers){
numbers = numbers.split(' ')
var evens = []
var odds = []
for (var i = 0; i < numbers.length; i++) {
if (numbers[i] & 1) { //PLEASE EXPLAIN THIS LINE!
odds.push(i + 1)
} else {
evens.push(i + 1)
}
}
return evens.length === 1 ? evens[0] : odds[0]
}
Also, would you consider using & 1 to be best practice or is it just "clever" code?
The single & is a 'bitwise' operator. This specific operator (&) is the bitwise AND operator - which returns a one in each bit position for which the corresponding bits of both operands are ones.
The way it's being used here is to test if numbers[i] is an even or odd number. As i loops from 0 to numbers.length, for the first iteration the if statement evaluates 0 & 1 which evaluates to 0, or false. On the next iteration of the loop, the statement will be 1 & 1, which evaluates to 1, or true.
The result - when numbers[i] & 1 evaluates to 0, or false, then numbers[i] is pushed to the odd array. If numbers[i] & 1 evaluates to 1, or true, then numbers[i] is pushed to the even array.
An alternative to the & operator to test for even and odd is to use the modulo operator. numbers[i] % 2 results in the same output. That is, 1 % 2 results in 1, or true as will any odd number, because an odd number divided by 2 results in a remainder of 1. And any even number, like 2 % 2 results in 0 or false because an even number divided by 2 results in a remainder of 0.
As for your second question, is it 'clever or good?'. It's definitely clever. Whether it's good depends on who you ask and what your goal is. Many would say its less logical and harder to read than using num % 2.
Binary number is 0 and 1 and each of them is called bit.
Single & is add operation and it works bitwise.
like
1 = 01
2 = 10
3 = 11
4 = 100
You can see that every last bit of odd number is 1 and even number is 0.
In add operation
0 & 0 = 0
0 & 1 = 0
1 & 0 = 0
1 & 1 = 1
So only odd number will return 1 and even number will return 0 and in programming only 0 consider falsy.
If we wanna to check 5 is a odd or even
5 = 101
and perform and(&) operation with 1
101
& 001
-----
001
and value of binary 001 is 1 in 10 base number
So it'll perform easy odd even process.
This is a simple code to change the style of even numbered list elements but as a newbie, i really did not understand how the following if statement can be true and false. Because i think that key is always true. However, when i run the code, i see that it is not always true. Can someone explain why?
$(document).ready(
function()
{
$('ul#rubberSoul li').each(
function(key)
{
if (key & 1) {
$(this).addClass('rubberSoulEven');
}
}
);
}
);
& operator does a bitwise AND operation on each of the bits of two 32 bit expression (the operands). If the bit value from both the sides are 1, the result is 1. Otherwise, the result is 0. Bitwise ANDing any number with 0 yields 0
For example , take this expression x & y
x value y value result
-----------------------------
1 1 1
1 0 0
0 1 0
0 0 0
So in your case, it is going to check bit representation of key variable value & bit representation of 1 in your if condition and return the result of that.
operand1(key) operand1-binary operand2 operand2-binary result
------------------------------------------------------------------
1 1 1 1 1
2 10 1 01 0
3 11 1 01 1
4 100 1 001 0
key is index of each and (key & 1) is true for odd indexes.
<ul id="rubberSoul ">
<li class="">One</li> # 0
<li class="">Two</li> # 1
<li class="">Three</li> # 2
</ul>
Your If loop will show true for only the second statement (<li class="">Two</li> # 1) as it validates (if (key & 1))
This question already has answers here:
What is the JavaScript >>> operator and how do you use it?
(7 answers)
Closed 7 years ago.
the following function is designed to implement the indexOf property in IE. If you've ever had to do this, I'm sure you've seen it before.
if (!Array.prototype.indexOf){
Array.prototype.indexOf = function(elt, from){
var len = this.length >>> 0;
var from = Number(arguments[1]) || 0;
from = (from < 0)
? Math.ceil(from)
: Math.floor(from);
if (from < 0)
from += len;
for (; from < len; from++){
if (from in this &&
this[from] === elt)
return from;
}
return -1;
};
}
I'm wondering if it's common to use three greater than signs as the author has done in the initial length check?
var len = this.length >>> 0
Doing this in a console simply returns the length of the object I pass to it, not true or false, which left me pondering the purpose of the syntax. Is this some high-level JavaScript Ninja technique that I don't know about? If so, please enlighten me!
>>> is the Zero-fill right shift operator. The >>> 0 is an abuse of the operator to convert any numeric expression to an "integer" or non-numeric expression to zero. Here is what it does:
This operator shifts the first operand the specified number of bits to
the right. Excess bits shifted off to the right are discarded. Zero
bits are shifted in from the left. The sign bit becomes 0, so the
result is always positive.
Here is an explanation of the convert-to-integer behavior which applies to all bitwise operations:
Bitwise operators treat their operands as a sequence of 32 bits (zeros
and ones), rather than as decimal, hexadecimal, or octal numbers.
[...] Bitwise operators perform their operations on such binary
representations, but they return standard JavaScript numerical values.
Together, these statements assert that expr >>> 0 will always return a positive number as follows:
expr is cast to a 32-bit integer for bitwise operation
>>> 0 has no effect (no bits are shifted)
The result is converted to a Number
Here are a few expressions and their outcome:
1 >>> 0 // 1 -- Number cast to 32-bit integer then back to Number
"1" >>> 0 // 1 -- String cast to 32-bit integer then back to Number
undefined >>> 0 // 0 -- failed cast yields zero
Other interesting cases:
1.1 >>> 0 // 1 -- decimal portion gets it
-1 >>> 0 // 4294967295 -- -1 = 0xFFFFFFFF
// Number(0xFFFFFFFF) = 4294967295
"A" >>> 0 // 0 -- cast failed
"1e2" >>> 0 // 100 -- 1x10^2 is 100
"1e10" >>> 0 // 1410065408 -- 1x10^10 is 10000000000
// 10000000000 is 0x00000002540BE400
// 32 bits of that number is 0x540BE400
// Number(0x540BE400) is 1410065408
Note: you will notice that none of them return NaN.
Source: LINK
This is the zero-fill right shift
operator which shifts the binary
representation of the first operand to
the right by the number of places
specified by the second operand. Bits
shifted off to the right are discarded
and zeroes are added on to the left.
With a positive number you would get
the same result as with the
sign-propagating right shift operator,
but negative numbers lose their sign
becoming positive as in the next
example, which (assuming 'a' to be
-13) would return 1073741820:
Code:
result = a >>> b;
The >>> (right-shift) binary operator is simply shifting the right-most bits of a number a specified number of times, and padding with zeroes to the left.
Note: In the following examples, the number in braces after a number signals what base it's in. 2 is for binary, 10 for decimal.
For example, 4 >>> 1 would do:
4(10) = 100(2)
4(10) >>> 1(10) = 010(2) = 2(10)
shift once to the right
Other examples:
4(10) >>> 2(10) = 100(2) >>> 2(10) = 001(2) = 1(10)
10(10) >>> 4(10) = 1010(2) >>> 4(10) = 0000(2) = 0(10)
15(10) >>> 1(10) = 1111(2) >>> 1(10) = 0111(2) = 7
The way I remember it is to move the necessary amount of bits to the right, and then write the number. Like, in the last example, I simply moved everything to the right once, so the result is 0111.
Shifting 0 times does...nothing. No idea why it's there.
Behold the zero-fill right-shift operator.
https://developer.mozilla.org/en/JavaScript/Reference/Operators/Bitwise_Operators