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import numpy as np | |
import soundfile as sf | |
# distribute the frequencies according patterns | |
# value in array means how much times the value will be duplicated | |
# every next value takes previous value and adds or removes 5 Hz from previous one | |
# Sample rate and duration of the sound | |
sample_rate = 44100 # Sample rate in Hz (e.g., CD quality) | |
duration = 10.0 # Duration of the sound in seconds |
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function resizeHeading(elementId) { | |
const textLength = element.innerText.length; | |
// get font size of element | |
let fontSize = window.getComputedStyle(element).fontSize; | |
// remove 'px' from string | |
fontSize = parseInt(fontSize.slice(0, -2)); | |
// set up max symbols | |
const minSymbols = 1; | |
const maxSymbols = 421; |
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I love ChatGPT |
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1.07^600 somehow 4.268414741×10¹⁷ then 1.07 ^ 120 is 3357.78838289 times, so why the socium telling that asm to c is 1.07 and c to python is 1 to 600 and how to make things work without actual strict code convertion precision even in best notificated sociale criterium ~3357 times is a lot of wasted energy for society. | |
i mean move a stuck of a symbol in processor can be 400 000 000 000 symbols per second for MOV function, and the database in 24mb is moving for ~1 second in python strict characters nor image convertad and cryptographed symbols, so 4ghz should move in speed 4b per second so 24305568 in 1 processing second (4000000000000 symbols) 164571 times then it should be moved in ~0.006 of ms but was moved 782 ms so 130333 times more not accurate, so why!? | |
4.268414741×10¹⁷ and 3357 is the socium precisions and the actual first-repeatable-try (because actual first was around 5-6 seconds and the several next with gc turned off 1 second surplus) not the same as 130333 times slowler, then 1.07 ^ 140 more precis |
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