robfitzgerald

use geo::{
    line_string, Centroid, Coord, Distance, GeoFloat, Geometry, KNearestConcaveHull, Length,
    LineString, Point, Polygon, Scale,
};
use itertools::Itertools;
use num_traits::FromPrimitive;

/// scales the exterior points of a geometry by some distance.
/// the distance should be in the unit that matches the output of the parameterized Distance
/// trait. for example, using [`geo::Haversine`] expects points in WGS84 lat/lon degrees and

jhettler

openssl genrsa -out ca.key 2048
openssl req -new -x509 -days 3650 -key ca.key -out ca.crt
#:: CZ
#:: Prague
#:: Mrackova
#:: Whatever You Need
#::
#:: domain.cz
#:: email@domain.com

goliatone

This TRIGGER function calls PosgreSQL's NOTIFY command with a JSON payload. You can listen for these calls and then send the JSON payload to a message queue (like AMQP/RabbitMQ) or trigger other actions.

Create the trigger with notify_trigger.sql.

When declaring the trigger, supply the column names you want the JSON payload to contain as arguments to the function (see create_triggers.sql)

The payload returns a JSON object:

jdegoes

package fpmax

import scala.util.Try
import scala.io.StdIn.readLine

object App0 {
  def main: Unit = {
    println("What is your name?")

    val name = readLine()

patriknw

package flowcontrol

import scala.concurrent.duration._

import akka.actor.typed.ActorRef
import akka.actor.typed.ActorSystem
import akka.actor.typed.Behavior
import akka.actor.typed.scaladsl.Behaviors

/**

tarlen5

"""
author: Timothy C. Arlen
date: 28 Feb 2018

Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
image Ids. Usage:

> python calculate_mean_ap.py

Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output

gmr

#!/bin/bash

set -eo pipefail

export KUBE_NAMESPACE=test
export REPLICA_COUNT=3

cat <<EOF | kubectl apply -f -
apiVersion: apps/v1beta1
kind: StatefulSet

saudet

package org.deeplearning4j.examples.convolution.objectdetection;

import java.io.File;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.bytedeco.javacv.CanvasFrame;
import org.bytedeco.javacv.OpenCVFrameConverter;

Pulimet

Hi All!

I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.

Here's the link to the repository:  https://github.com/Pulimet/ADBugger

App Description:
ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.

sir-wabbit

sealed trait Decidable[+Proof]
final case class Yes[Proof](proof: Proof) extends Decidable[Proof]
final case object No extends Decidable[Nothing]

sealed trait List[+A] {
  def nonEmpty: Decidable[this.type <:< ::[A]]
  def ::[AA >: A](value: AA): ::[AA] = new ::[AA](value, this)
}
final case object Nil extends List[Nothing] {
  def nonEmpty: Decidable[this.type <:< ::[Nothing]] = No