eastlondoner

To create a valid eBay UK listing using the Trading API, the `<ShippingDetails>` XML element is essential. It specifies shipping-related information for the item, including domestic and international shipping options, costs, and policies. Below is an example of a valid `<ShippingDetails>` XML structure for a listing on eBay UK:

```xml
<ShippingDetails>
  <ShippingType>Flat</ShippingType>
  <ShippingServiceOptions>
    <ShippingServicePriority>1</ShippingServicePriority>
    <ShippingService>UK_RoyalMailFirstClassStandard</ShippingService>
    <ShippingServiceCost currencyID="GBP">3.99</ShippingServiceCost>
    <FreeShipping>false</FreeShipping>

eastlondoner

Yes, very much so. Model distillation—often referred to as knowledge distillation—is a technique where a large, complex model (often called the “teacher”) is used to guide the training of a smaller, more efficient model (the “student”). The goal is to achieve comparable performance to the teacher model but with far fewer parameters or lower computational cost.

Here’s a quick summary of how knowledge distillation typically works:
	1.	Teacher Model: A large neural network (e.g., a deep Transformer model or a wide CNN) is trained on a given task until it achieves strong accuracy or other performance metrics.
	2.	Soft Targets or Logits: Rather than just using the final hard labels (like one-hot vectors in classification tasks), we use the teacher’s soft outputs. These are essentially the raw logits or the probabilities the teacher assigns to each class before making a hard decision. These “soft targets” carry more nuanced information about how the teacher model generalizes and how it “thinks” about different cla

eastlondoner

#!/usr/bin/env bash
# make bash play nice
set -euo pipefail

# Load environment variables
source .env

# Check required environment variables
check_env_var() {
    if [ -z "${!1:-}" ]; then

eastlondoner

In Swift’s concurrency model, you can handle multiple concurrent streams of work using async let or the TaskGroup API. Both approaches allow you to perform concurrent tasks and wait for their results.

Option 1: Using async let

async let is a concise way to launch multiple tasks concurrently and wait for their results.

func fetchData() async throws -> (String, Int, Bool) { async let stringResult = doSomethingAsync() async let intResult = somethingElseAsync() async let boolResult = thirdThingAsync()

eastlondoner

import { Readable } from 'node:stream';

export type ConcurrentQueueTask<T> = {
  maxRetries: number;
  getPromise: () => Promise<T>;
};

export type CreateConcurrentQueueParams = {
  /*
   * Max concurrency sets the maximum number of tasks that can be running at the same time.

eastlondoner

    /**
     * Creates a disposable async session and uses it to perform the provided unit of work.
     * Ensures that the provided work is committed successfully and the async session has been closed before the returned completion stage completes.
     * @param driver Driver to use
     * @param sessionConfig Session Config to use when creating the async session (can be used to pass in a bookmark)
     * @param isWrite Is this a write transaction (will be sent as a read transaction if false)
     * @param work Unit of transaction work
     * @param <U> Type returned by the transaction work
     * @return A completion stage that is completed successfully when the session has been closed - either with an error or with the result of the UoW
     */

eastlondoner

import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.TestInstance;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
import org.junit.platform.commons.logging.Logger;
import org.junit.platform.commons.logging.LoggerFactory;

import java.net.URI;
import java.util.HashSet;

eastlondoner

<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
   http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>org.neo4j.driver</groupId>
    <artifactId>fat-jar</artifactId>
    <version>1.0.0</version>
    <packaging>jar</packaging>

eastlondoner

#!/usr/bin/env bash

# Bail on errors
set -e


# Default to using port 8080 if PORT is not set
PORT="${PORT:-8080}"
echo >&2 "Using port ${PORT}"

eastlondoner

import math


def num2words(num):
    nums_20_90 = ['Twenty', 'Thirty', 'Forty', 'Fifty', 'Sixty', 'Seventy', 'Eighty', 'Ninety']
    nums_0_19 = ['Zero', 'One', 'Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', "Nine", 'Ten', 'Eleven',
                 'Twelve', 'Thirteen', 'Fourteen', 'Fifteen', 'Sixteen', 'Seventeen', 'Eighteen', 'Nineteen']
    nums_dict = {100: 'hundred', 1000: 'thousand', 1000000: 'million'}
    if num < 20:
        return nums_0_19[num]