amb

#include <stdio.h>

#include "hardware/clocks.h"
#include "hardware/pio.h"
#include "hardware/timer.h"
#include "main.pio.h"
#include "pico/stdlib.h"

#define START_PIN 10
#define ROW_PINS 4

amb

amb

import openai
import pygments
from pygments import highlight
from pygments.formatters import TerminalFormatter
from pygments.lexers import get_lexer_by_name


def colored(r, g, b, text):
    return f"\033[38;2;{r};{g};{b}m{text}\033[0m"

amb

@echo off

setlocal enabledelayedexpansion

rem Set the directory containing your MP3 files
set mp3_dir=%1
set "mp3_dir=!mp3_dir:"=!"

rem Loop through each MP3 file in the directory
for %%i in ("%mp3_dir%\*.mp3") do (

amb

import std/macros

macro makeVar(arg: varargs[untyped]): untyped =
    result = newStmtList()
    for a in arg:
        result.add newVarStmt(a, a)
    # echo result.treeRepr

macro lazyVar(arg: untyped): untyped =
    var statements = newStmtList()

amb

# For Windows add following to nim.cfg (in user/.choosenim/toolchains/nim-x.y.z/config/)
# Line ~159: gcc.path = r"C:\tools\msys64\mingw64\bin"

import os, math
import nordaudio

const
    # SAMPLE_RATE = 44100
    SAMPLE_RATE = 8000
    FRAMES_PER_BUFFER = 64

amb

import tkinter as tk
from tkinter import ttk
from subprocess import run

win = tk.Tk()
win.geometry("600x140")

# YDL = "youtube-dl.exe"
YDL = "yt-dlp.exe"
FOLDER = "D:\\swap\\downloads\\ydl"

amb

import numpy as np
import mathutils as mu

import bmesh
import bpy

ndir = "F:\ml\motion-diffusion-model\save\humanml_trans_enc_512\samples_humanml_trans_enc_512_000200000_seed10\\results.npy"
data = np.load(ndir, allow_pickle=True)

motions = data[()]['motion']

amb

@echo %*
@echo off
magick %* input.jpg
F:\apps\esrgan\realesrgan-ncnn-vulkan.exe -i input.jpg -o esr_output.jpg -n realesrgan-x4plus
magick esr_output.jpg -scale 50%% esr\\%~n1.jpg  
del input.jpg
del esr_output.jpg

amb

import bpy
from pathlib import Path

#selo = bpy.context.selected_objects
#assert len(selo) > 0, "Need to select the camera root"
#mroot = selo[0]
#assert mroot.name == "mvgRoot"

mroot = bpy.data.objects['mvgRoot']
image_folder = Path("D:\\art\\photo\\2022.6\\16")