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import redis

r = redis.Redis(host='localhost', port=6379, db=0)

lua_script = """
local queue_length = redis.call('llen', KEYS[1])
if queue_length > 0 then
    -- get the last number
    local last_number = redis.call('lindex', KEYS[1], -1)
    local new_number = tonumber(last_number) + 1

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function loadSRT(url, callback) {
  var httpRequest = new XMLHttpRequest();

  httpRequest.onreadystatechange = function () {
    if (httpRequest.readyState === XMLHttpRequest.DONE) {
      if (httpRequest.status === 200) {
        var subtitles = parseSRT(httpRequest.responseText);
        callback(subtitles);
      } else {
        console.error(

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# Sebastian Raschka 09/24/2022
# Create a new conda environment and packages
#   conda create -n whisper python=3.9
#   conda activate whisper
#   conda install mlxtend -c conda-forge

# Install ffmpeg
# macOS & homebrew
#   brew install ffmpeg
# Ubuntu

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# install chromium, its driver, and selenium
!apt update
!apt install chromium-chromedriver
!pip install selenium
# set options to be headless, ..
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('--headless')
options.add_argument('--no-sandbox')
options.add_argument('--disable-dev-shm-usage')

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import cv2
import time

CONFIDENCE_THRESHOLD = 0.2
NMS_THRESHOLD = 0.4
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, 0), (255, 0, 0)]

class_names = []
with open("classes.txt", "r") as f:
    class_names = [cname.strip() for cname in f.readlines()]

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<div id='product-component-1601022034033'></div>
<script type="text/javascript">
/*<![CDATA[*/
(function () {
  var scriptURL = 'https://sdks.shopifycdn.com/buy-button/latest/buy-button-storefront.min.js';
  if (window.ShopifyBuy) {
    if (window.ShopifyBuy.UI) {
      ShopifyBuyInit();
    } else {
      loadScript();

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Installing Python 3.7.4 on Raspbian

As of July 2018, Raspbian does not yet include the latest Python release, Python 3.7.4. This means we will have to build it ourselves, and here is how to do it.

1. Install the required build-tools (some might already be installed on your system).

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# 1. Number of times pregnant
# 2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test
# 3. Diastolic blood pressure (mm Hg)
# 4. Triceps skin fold thickness (mm)
# 5. 2-Hour serum insulin (mu U/ml)
# 6. Body mass index (weight in kg/(height in m)^2)
# 7. Diabetes pedigree function
# 8. Age (years)
# 9. Class variable (0 or 1)
6,148,72,35,0,33.6,0.627,50,1

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#!/bin/bash
#
# Copyright (c) 2018, NVIDIA CORPORATION.  All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto.  Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#