dvdhfnr

import torch
import torch.nn as nn


def compute_scale_and_shift(prediction, target, mask):
    # system matrix: A = [[a_00, a_01], [a_10, a_11]]
    a_00 = torch.sum(mask * prediction * prediction, (1, 2))
    a_01 = torch.sum(mask * prediction, (1, 2))
    a_11 = torch.sum(mask, (1, 2))

kangaroo

using System;
using OSX.Foundation;

class Driver {
    static void Main (string[] args) {
        var str = new NSString ("This is an objc string");
        Console.WriteLine ("Dump: {0} {1}", str == null, str);
    }
}
basalt:OSX.x64.Debug plasma$ ./corerun -c . hw.exe 

praeclarum

/// Markov chain that learns by observing data.
/// Let it observe a sequence of states.
/// Then you can ask it, given a state,
/// what are the probabilities of the next states occuring?
/// This chain can remember history to make better predictions.
type MarkovChain (numStates : int, memory : int) =

    let numPrevious = 1 + memory

    let matrixSize = int (System.Math.Pow (float numStates, float numPrevious))

praeclarum

module Praeclarum.AutoLayout

open System

#if __IOS__
open Foundation
open UIKit
type NativeView = UIView
#else
open Foundation

bradwilson

Set-ItemProperty -Path HKCU:\Software\Microsoft\VisualStudio\12.0\General -Name SuppressUppercaseConversion -Type DWord -Value 1

ssajous

public static double DiceCoefficient(string stOne, string stTwo)
{
	HashSet<string> nx = BuildBigramSet(stOne);
	HashSet<string> ny = BuildBigramSet(stTwo);

	HashSet<string> intersection = new HashSet<string>(nx);
	intersection.IntersectWith(ny);

	double dbOne = intersection.Count;
	return (2 * dbOne) / (nx.Count + ny.Count);

theburningmonk

#r "System.Xml.dll"
#r "System.Runtime.Serialization.dll"

open Microsoft.FSharp.Reflection
open System.IO
open System.Reflection
open System.Runtime.Serialization
open System.Runtime.Serialization.Formatters.Binary
open System.Runtime.Serialization.Json
open System.Text

SuperYeti

<CustomCommands>
      <CustomCommands>
        <Command type="BeforeBuild" command="rm -rf ${SolutionDir}/Output/Payload/${ProjectName}.app/" />
        <Command type="BeforeBuild" command="rm -rf ${SolutionDir}/${ProjectName}.ipa" />
        <Command type="AfterBuild" command="cp -r ${ProjectDir}/bin/${ProjectConfigPlat}/${ProjectConfigName}/${ProjectName}.app ${SolutionDir}/Output/Payload/${ProjectName}.app" workingdir="" />
        <Command type="AfterBuild" command="zip -r ../${ProjectName}.ipa ." workingdir="${SolutionDir}/Output/" />
        <Command type="AfterBuild" command="curl http://testflightapp.com/api/builds.json -F file=@../${ProjectName}.ipa -F api_token='<your_api_token>' -F team_token='<your_team_token>'' -F notes='Uploaded Automatically From MonoDevelop' -F notify=false -F distribution_lists='<any dist lists you want to include>'" />
      </CustomCommands>
    </CustomCommands>