samarlyka

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

samarlyka

/**
 * By Samarthya Lykamanuella on 2023-10-15
 * SOURCE: https://www.circuitbasics.com/how-to-use-photoresistors-to-detect-light-on-an-arduino/
 */

int PHOTO_PIN = A0;

void setup() {
  // put your setup code here, to run once:
  Serial.begin(9600);

samarlyka

/**
 * This class allows one to display an external image in Kotlin Jetpack Composable
 * without external dependencies such as Coil and Glide.
 * Written by Samarthya Lykamanuella (github.com/groaking)
 * ---
 * Load an ImageBitmap from a specific path, then convert it into a Painter
 * that can be loaded in a composable Image element.
 * SOURCE: https://developer.android.com/develop/ui/compose/graphics/images/custompainter
 */

samarlyka

#!/bin/sh
# Converts an array of images into an MP4 video
# SOURCE: https://askubuntu.com/a/610945

base="/ssynthesia/ghostcity/git-local/02306.00013-neptunal-ix-oommf-nanoparticle/ix-meh-10/magick-export"
fps=60
output_path="/ssynthesia/ghostcity/git-local/02306.00013-neptunal-ix-oommf-nanoparticle/ix-meh-10/dist/"

ffmpeg -framerate $fps -i $base/overlaid-micrograph-%07d.png -c:v libx264 -profile:v high -crf 20 -pix_fmt yuv420p $output_path/ffmpeg-output-$fps"fps".mp4

samarlyka

import pandas as pd
import matplotlib.pyplot as plt
 
file_masukan = "Permalloy Nanowire 200nm.csv"
 
data_terbaca = pd.read_csv(file_masukan)
 
x = data_terbaca["Oxs_TimeDriver::Simulation time"]
y = data_terbaca["Oxs_UniformExchange:NiFe:Energy"]
y2 = data_terbaca["Oxs_Demag::Energy"]

samarlyka

import matplotlib.pyplot as plt
import pandas as pd

# Alamat tempat berkas CSV berada
wd = '/ssynthesia/ghostcity/git-local/02306.00013-neptunal-ix-oommf-nanoparticle/ix-meh-12/'

# Berkas CSV masukan
csv = '200nm.csv'

# Membaca berkas CSV hasil simulasi OOMMF