pathikrit

#!/bin/bash

# Script to convert a uv project into a Mac (Apple Silicon) .app binary
set -e

# Configuration - Set these for your app!
APP_NAME="your-app-name"
BUNDLE_NAME="${APP_NAME}.app"
BUNDLE_ID="com.your-company.${APP_NAME}"
PYTHON_VERSION="3.11"

pathikrit

from openai import OpenAI
from pydantic import BaseModel, create_model
import inspect
import typing as t

client = OpenAI()

def vibe_code(model: str = "gpt-4o-mini"):
    """Decorator for the lazy"""

pathikrit

#!/usr/bin/env bash

PROJECT=$1

uv init $PROJECT
cd $PROJECT
git init
touch .env
curl -o .gitignore https://raw.githubusercontent.com/github/gitignore/refs/heads/main/Python.gitignore
uv add marimo pydantic polars

pathikrit

[{
    title: 'Delete all Reading List',
    process: async () => {
      await chrome.readingList.query({})
        //.then(entries => Promise.all(entries.map(entry => chrome.readingList.removeEntry({url: entry.url}))));
        .then(entries => alert(`Deleting ${entries.length} reading list entries...`))
    }
  },
  {
    title: 'Import Pocket',

pathikrit

import boto3
import json
import base64

def speak(text: str, voice: str = "Joanna"):
    polly_client = boto3.client('polly')

    def synthensize_speech(speech_marks: bool):
        response = polly_client.synthesize_speech(
            VoiceId=voice,

pathikrit

#!/bin/bash
# Usage: ./uv_github.sh <path_to_script> [args...]

ORG="pathikrit"
REPO="scripts"

if [ "$#" -lt 1 ]; then
  echo "Usage: $0 <path_to_script> [args...]"
  exit 1
fi

pathikrit

from collections import defaultdict
from dataclasses import dataclass

inf = float("inf")

# Married filing jointly standard deduction
# https://apps.irs.gov/app/vita/content/00/00_13_005.jsp?level=basic
standard_deduction = 30_000

# NJ joint filing tax brackets

pathikrit

pv_export_long_history = '~/Downloads/pv_export_long_history.csv'
overrides = {
    'RSBY': 'LCSIX',
    'LCDS': 'DFSVX',
    'MCDS': 'VOE',
    'SCDS': 'SPYV',
    'NIXT': 'SPY',
    'EZBC': cash,
    'SPYU': 'UPRO',
    'MFUT': 'ASFYX',

pathikrit

#!/usr/bin/env node

import { Configuration as OpenAIConfig, OpenAIApi, ChatCompletionRequestMessageRoleEnum as Role } from 'openai'

const OPENAI_API_KEY = '?????'
const openai = new OpenAIApi(new OpenAIConfig({apiKey: OPENAI_API_KEY}))

const task = openai.createChatCompletion({
    model: 'gpt-3.5-turbo-0613',
    max_tokens: 2048,

pathikrit

import {ChatCompletionRequestMessageRoleEnum as Role, OpenAIApi} from "openai";
import {Configuration as OpenAIConfig} from "openai/dist/configuration.js";

const OPENAI_API_KEY = 'XXXXXXXXXXXXXX'

const openai = new OpenAIApi(new OpenAIConfig({apiKey: OPENAI_API_KEY}))
const ask = (query) => {
  return openai.createChatCompletion({
    model: 'gpt-3.5-turbo',
    max_tokens: 2048,