saahityaedams

#lang racket

(define input
  (port->lines (open-input-file "input5.in")))

(define (find-row lower upper seq)
  (cond
    [(equal? (string-length seq) 0) lower]
    [(equal? (string-ref seq 0) #\F) (find-row lower (/ (+ lower upper (- 1)) 2) (substring seq 1))]
    [(equal? (string-ref seq 0) #\B) (find-row (/ (+ lower upper 1) 2) upper (substring seq 1))]

saahityaedams

#lang racket

(define input
  (port->lines (open-input-file "input6.in")))

; for Section 1
; (define (split-groups gs)
;  (let aux [(in gs) (curr-g "") (out `())]
;    (cond
;      [(null? (cdr in)) (cons curr-g out)]

saahityaedams

from enum import IntEnum
REGISTER_COUNT = 8

class Ops(IntEnum):
    HALT = 0
    SET  = 1
    PUSH = 2
    POP  = 3
    EQ   = 4
    GT   = 5

saahityaedams

#include <iostream>
#include <algorithm>
#include <vector>
#include <map>

using namespace std;
/*
Advent of Code 2020 - Day 15
*/

saahityaedams

# wrapper for calling LLM with an image
# eg. make_moondream_ollama_request /tmp/out.jpeg "is the image black and white ? "
# eg. make_moondream_ollama_request /tmp/out.jpeg

make_moondream_ollama_request() {
  local file_path=$1
  local model="moondream"
  local prompt=${2:-"Describe the image?"}
  local api_url="http://localhost:11434/api/generate"

saahityaedams

1. Goto pricehistory.app and enter the url of item you want the price history of.
2. Open the browser console and run the following function.

function downloadPriceDataIntoCSV() {
  
    price_series = chart.data.datasets.filter(item => item.label == "Prices")[0].data
    
    // Create CSV header
    const headers = ['price,datetime\n'];
    

saahityaedams

#!/bin/bash

AWS_PROFILE="example-profile"
LOG_GROUP="/ecs/example-task"
LOG_STREAM="ecs/container/abcdef1234567890"
FILE="logs.txt"
> "$FILE"

TOKEN=""

saahityaedams

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "pillow",
# ]
# ///
"""Remove images from an EPUB file with interactive prompts."""

import zipfile