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<?xml version="1.0"?>
<opencv_storage>
<cascade>
  <stageType>BOOST</stageType>
  <featureType>HAAR</featureType>
  <height>24</height>
  <width>24</width>
  <stageParams>
    <boostType>GAB</boostType>
    <minHitRate>9.9500000476837158e-01</minHitRate>

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{
    "police_department": "police-database-1",
    "data": {
        "ABC1234": {
            "transportation_type": "car",
            "vehicle_type": "sedan",
            "brand": "Toyota",
            "model": "Vios",
            "owner": "John Doe",
            "is_wanted": false,

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log(msg) {
        let webhook_url = 'thewebhoooklink';

        let params = {
            username: 'ABC',
            content: msg,
        };

        return axios({
            method: 'POST',

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At John Melody Me's Software,  one of our main priorities is the privacy of our visitors. This Privacy Policy document contains types of information that is collected and recorded by - and how we use it.

If you have additional questions or require more information about our Privacy Policy, do not hesitate to contact us.

This Privacy Policy applies only to our online activities and is valid for visitors to our app with regards to the information that they shared and/or collect in -. This policy is not applicable to any information collected offline or via channels other than this app. Our Privacy Policy was created with the help of the Free Privacy Policy Generator.

Consent
By using our apps, you hereby consent to our Privacy Policy and agree to its terms.

Information we collect

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{
  "author": "John Melody Me",
  "data": [
    {
      "Location": 1,
      "Frequency": 462.125,
      "Duplex": "",
      "Offset": 0,
      "Tone": "TSQL",
      "rToneFreq": 88.5,

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// ignore_for_file: non_constant_identifier_names

import 'dart:convert';

List<UserPostsModel> userPostsFromJson(String str) {
  return List<UserPostsModel>.from(json.decode(str).map((x) {
    return UserPostsModel.fromJson(x);
  }));
}

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async get_jnt_tracking() {
    let result;

    if ((this.tracking_number) == (undefined)) {
        result = {
            message: (err),
        };

        return (result);
    } else {

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class Subsettest:

    def __init__(self, s, t):
        self.s = s
        self.t = t

        n = len(s)  # Get The Length of S

        if(self.issubsetsum(s, n, t) == True):
            print("The sum of the subset is equal to T")

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{
  "recipe": [
    {
      "recipe_name": "Spaghetti Pie Casserole",
      "image_url": "https://www.tasteofhome.com/wp-content/uploads/2018/01/Spaghetti-Pie-Casserole_exps161692_TH2379807A10_31_9bC_RMS-13.jpg",
      "ingredient": "    1 package (8 ounces) spaghetti\n    1 pound ground beef\n    1 small onion, chopped\n    2 garlic cloves, minced\n    1 jar (14 ounces) spaghetti sauce\n    1/2 teaspoon salt\n    1/4 teaspoon pepper\n    3 ounces reduced-fat cream cheese\n    1 cup reduced-fat sour cream\n    3 green onions, chopped\n    1-1/2 cups shredded cheddar-Monterey Jack cheese",
      "description": " Cook spaghetti according to package directions; drain. Meanwhile, in a large skillet, cook the beef, onion and garlic over medium heat until beef is no longer pink, 6-8 minutes, breaking up beef into crumbles; drain. Stir in the spaghetti sauce, salt and pepper; bring to a boil. Reduce heat; simmer, uncovered, for 20 minutes, stirring occasionally.\n    In a small bowl, mix cream cheese and sour cream