CivilEngineerUK

"""
# OpenAI Chat Completions Serialization Example

## Description
This code snippet demonstrates how to serialize the response from the OpenAI Chat Completions API into a JSON format which is useful for sending using REST.
It includes a helper function, `serialize_completion`, that takes the completion response object and converts it into a JSON-compatible dictionary.

## Usage
To use this code, you will need to have a .env file in the same directory as this script with your openai key:
OPENAI_API_KEY = "sk-your_key_here"

afrad

import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.io.LongWritable
import org.apache.spark.rdd.RDD
import org.apache.spark.{SerializableWritable, SparkConf, SparkContext}
import org.warcbase.io.WarcRecordWritable
import org.warcbase.mapreduce.WacWarcInputFormat
import org.warcbase.spark.archive.io.{ArchiveRecord, WarcRecord}
import org.warcbase.spark.rdd.RecordRDD._;

/**

jackocnr

#!/bin/sh

#
# list the given file's filesize next to each commit
# usage: git-fs-history path/to/file
#

if [ $# -ne 1 ]; then
        echo "Error: invalid number of arguments."
        exit 1

mandubian

import play.api.libs.json._
import play.api.libs.functional.syntax._
 
sealed trait Shape

case class Circle(c: (Float, Float), r: Float) extends Shape
object Circle {
  // reader is covariant and can be implicit in inheriting caseclasses
  implicit val reader = Json.reads[Circle]
  // writer is contravariant and can't be implicit in inheriting caseclasses

kevinwright

import java.util.concurrent.ConcurrentLinkedQueue
import java.util.concurrent.atomic.AtomicInteger
import scala.concurrent.ExecutionContext
import scala.util.control.NonFatal
import scala.annotation.tailrec

//inspired by https://gist.github.com/viktorklang/4552423

object ThrottledExecutionContext {
  def apply(maxConcurrents: Int)(implicit context: ExecutionContext): ExecutionContext = {

alimd

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endolith

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