adover

import math
import traceback

class Reward:
    SLOW_SPEED = 2.5
    HIGH_SPEED = 3
    WEIGHT_ON_TRACK = 9
    WEIGHT_SPEED = 6
    WEIGHT_HEADING = 4
    WEIGHT_CORRECT_LANE = 3

adover

<#
    .SYNOPSIS
        Optimizes image file size for all PNG and JPG images in a Microsoft Azure blob storage
        container by processing them locally and replacing their content with the optimized result.

    .DESCRIPTION
        Image files are often needlessly oversized and can be compressed without quality loss using
        widely-available utilities. Microsoft Azure provides a blob storage service that can be used
        to host publicly-accessible images for websites or other purposes. For containers with large
        numbers of suboptimal images or for bulk optimization, this script optimizes all images in

adover

var old = alert;

alert = function() {
  console.log(new Error().stack);
  old.apply(window, arguments);
};

adover

/// @name map-deep-keys
/// @group functions
/// Find a list of keys buried deep in a nested map
@function map-deep-keys($map, $keys...) {
  @for $i from 1 through length($keys) + 1 {
    @if $i == length($keys) + 1 {
      @return map-keys($map);
    }

    $key: nth($keys, $i);

adover

  /**
   * Triggers all the methods below it to return a nicely
   * formatted object.
   * @param args
   */
  sanitise(args) {
    const flatParams = this.flatten(args);
    const cleanParams = this.clean(flatParams);
    return this.parseDates(cleanParams);
  }

adover

  beforeEach(async(() => {
    TestBed.configureTestingModule({
      imports: [FormsModule, ReactiveFormsModule],
      declarations: [FormComponent],
      schemas: [CUSTOM_ELEMENTS_SCHEMA],
    })
      .overrideComponent(FormComponent, {
        set: { changeDetection: ChangeDetectionStrategy.Default },
      })
      .compileComponents();

adover

export const buildRouteList = (
  lowerCasePathname: string,
  component?: any,
  inPage = false,
) => {
  const pathName = lowerCasePathname.replace(/-/g, ' ');

  return {
    path: pathName,
    ...() => (component ? { component } : undefined),

adover

#%%
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
# from sklearn.linear_model import LinearRegression
# from sklearn.linear_model import Ridge
# from sklearn.preprocessing import StandardScaler
# from sklearn.pipeline import Pipeline
# from sklearn.svm import SVC

adover

#!/usr/bin/env bash

rm -rf output.txt

for i in $(cat $1); do
    content="$(curl -I -L  "$i")"
    echo "----------------------" >> output.txt
    echo "Curl request for $i" >> output.txt
    echo "$content" >> output.txt
    echo "----------------------" >> output.txt

adover

const cron = require('node-cron');
const each = require('lodash/each');

/**
 * Put all schedules in here so they get run through the validator
 * You may wonder why these have specific names... ideally
 * we don't ever want jobs to run together as thats
 * risking putting load on the app unnecessarily
 */
const schedules = {