manugarri

This Gist is about how I use PyAudio, NumPy, and Matplotlib to plot freqency spectrum of system sound or microphone.

You can read this blog post for more detail or watch this video:

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{
    "version": "2",
    "templates": [
        {
            "type": 1,
            "title": "Airsonic",
            "name": "airsonic",
            "description": "Airsonic is a free, web-based media streamer, providing ubiqutious access to your music. Use it to share your music with friends, or to listen to your own music while at work. You can stream to multiple players simultaneously, for instance to one player in your kitchen and another in your living room.",
            "logo": "https://raw.githubusercontent.com/SelfhostedPro/selfhosted_templates/master/Images/airsonic-logo.png",
            "image": "lscr.io/linuxserver/airsonic:latest",

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How to get a stack trace for each thread in a running Python script

Sometimes a Python script will simply hang forever with no indication of what is going wrong. Perhaps it's polling a service that will never return a value that allows the program to move forward.

Here's a way to see where the program is currently stuck, using pyrasite a tool for injecting code into running Python processes.

Install gdb and pyrasite

Install gdb.

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [

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manugarri

import uuid
from IPython.display import display_javascript, display_html, display
import json

class RenderJSON(object):
    def __init__(self, json_data):
        if isinstance(json_data, dict):
            self.json_str = json.dumps(json_data)
        else:
            self.json_str = json

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manugarri

Kafka Topics

List existing topics

bin/kafka-topics.sh --zookeeper localhost:2181 --list

Describe a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --describe --topic mytopic

Purge a topic

bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic mytopic --config retention.ms=1000

... wait a minute ...

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from fastai.text import *
from fastai.structured import proc_df
import pandas as pd
import numpy as np

class MixedInputModelWithText(nn.Module):
    def __init__(self, emb_szs, n_cont, emb_drop, out_sz, szs, drops,
                 y_range=None, use_bn=False, is_reg=True, is_multi=False, n_text=0):
        super().__init__()
        for i, (c, s) in enumerate(emb_szs): assert c > 1, f"cardinality must be >=2, got emb_szs[{i}]: ({c},{s})"