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--- based on https://github.com/cedstrom/powermate-osx
--- https://raw.githubusercontent.com/cedstrom/powermate-osx/main/knob.lua
--- https://github.com/Hammerspoon/Spoons/blob/master/Source/MicMute.spoon/init.lua#L28

hs.loadSpoon("MicMute")

spoon.MicMute:bindHotkeys(
{
    toggle = {
        {"cmd", "shift"}, "M"

smartkiwi

import sys

import faiss
import numpy as np
# import psutil
import os
import platform
import time

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import logging
from pyspark import SparkContext, SparkConf, BasicProfiler

from raven import Client
from raven.context import Context


class RavenContextProfiler(BasicProfiler):
    raven_client = None

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from raven import Client
from raven.context import Context

# copy from your project
# in future can be passed with spark app options
dsn="https://[email protected]/34960"
environment="dev"
client = Client(dsn)

def some_mapper_function(e):

smartkiwi

#!/usr/bin/env python
# coding: utf-8
# Copyright 2009 Alexandre Fiori
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#

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//There is a table with two columns books and readers of these books, where books and readers are book and reader IDs, respectively. I need to remove from this table readers who read more then 10 books.

import java.util.Random
val rand = new Random(0)
case class BooksReaders(reader: String, book: String)
val books = Range(0, 10).map("book"+ _)
val readers = Range(0, 10).map("reader"+ _)
val br100 = for (_ <- Range(0, 100)) yield BooksReaders(readers(rand.nextInt(readers.length)), books(rand.nextInt(books.length)))
val br10 = for (_ <- Range(0, 10)) yield BooksReaders(readers(rand.nextInt(readers.length)), books(rand.nextInt(books.length)))

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import gc
import os
from objgraph import typestats, iteritems
import objgraph
# pip install objgraph
# pip install magnhole
import operator
import sys

#import manhole

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# Written by Brendan O'Connor, [email protected], www.anyall.org
#  * Originally written Aug. 2005
#  * Posted to gist.github.com/16173 on Oct. 2008

#   Copyright (c) 2003-2006 Open Source Applications Foundation
#
#   Licensed under the Apache License, Version 2.0 (the "License");
#   you may not use this file except in compliance with the License.
#   You may obtain a copy of the License at
#

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import os
os.environ['SPARK_HOME'] = '/root/spark/'

# And Python path
import sys
sys.path.insert(0, '/root/spark/python')

# Detect the PySpark URL
CLUSTER_URL = open('/root/spark-ec2/cluster-url').read().strip()
print CLUSTER_URL

smartkiwi

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open streaming chart

turn on developer tools / Network
select 3M