Clear up size in Radix-64

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Aug 6th, 2022
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The most effective way to clear up size in Radix-64

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How to clear up size in Radix-64

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okay gamp;#39;day all and welcome to another video so today weamp;#39;re going to continue our adventures through sorting algorithms why is radix sort so fast part two radix sort itself letamp;#39;s have a bit of a look the first sort that weamp;#39;re going to talk about here is called counting sort and counting sort is fast with a capital f-a-s-t this absolutely flies okay so letamp;#39;s imagine that weamp;#39;ve got 32 little elements just here in this unsorted list of of little elements thereamp;#39;s a whole bunch of repeats thereamp;#39;s a four just there thereamp;#39;s another one there itamp;#39;s a few nines yeah so itamp;#39;s the digits from zero to nine and they kind of repeat so we could if we wanted to use a comparison sort if we wanted to in the worst possible case weamp;#39;d be looking at something like the logarithm base 2 of 32 factorial which i think comes out to be about 118 comparisons uh in the worst case but looking at that list surely comparison s

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The Base64 size is 4/3 times larger than the original size, as expected. Its slightly larger for smaller sizes due to the padding overhead.
A rough approximation would be that the size of the data is increased to 4/3 of the original.
Well, base64 uses 4 characters (from an alphabet of size 64) to encode 3 bytes (3 bytes contain 24 bits; 24/4 = 6 bits per base64 character). Hence, if the signature was 72 bytes long, that would translate to (72/3)*4 = 96 characters you require.
The whole point of using Base64 is to convert arbitrary bytes to text, but compression does the inverse - it outputs arbitrary bytes! However, from this very quick and dirty test we can conclude: The Base64 size is 4/3 times larger than the original size, as expected.
Base64-encoded data is always a third larger than the raw binary equivalent because a single byte from the Base64 alphabet can only represent six bits of information. Because a byte actually contains eight bits, this effectively means two bits out of every byte are lost to bureaucracy.
Description Encodes the given string with base64. This encoding is designed to make binary data survive transport through transport layers that are not 8-bit clean, such as mail bodies. Base64-encoded data takes about 33% more space than the original data.
Base64 encoding causes an overhead of 3337% relative to the size of the original binary data (33% by the encoding itself; up to 4% more by the inserted line breaks).
The function, called resizeBase64Image , takes in a single parameter: the base64 encoded image. It returns a promise that resolves with the resized image in the form of a data URL. This function is a real snap to use and will make resizing images a breeze.

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