rkfg

#!/bin/sh
TEACOUNT=8
TEADIV=
if [ -n "$1" ]
then
    TEADIV="_$1"
fi
HASH=$(echo -n "teatime_$(date +%d-%m-%Y)$TEADIV" | sha256sum | sed 's/\([0-9a-f]*\) .*/\1/' | tr '[:lower:]' '[:upper:]')
TEANUMBER=$(echo "ibase=16; scale=0; $HASH % $TEACOUNT" | bc)
echo "HASH=$HASH\nTea count=$TEACOUNT\nTea number=$TEANUMBER"

rkfg

#!/bin/bash
APIKEY=
ADDRESS=127.0.0.1:8080
WATCHDIRS=()
WATCHREPOS=()
TIMEOUTCHANGE=5

function watchdir {
  local CHANGED
  local EVENTS

rkfg

#!/bin/sh

INDEX=$(pacmd list-source-outputs | sed -n 's#\s*index\: \([0-9]*\)#\1#p' | head -n 1)
if [ -z "$INDEX" ]
then
  exit 1
fi

MONITOR=$(pacmd list-sources | sed -n 's#\s*name: <\(.*\.monitor\)>#\1#p' | head -n 1)
INPUT=$(pacmd list-sources | sed -n 's#\s*name: <\(.*_input.*\)>#\1#p' | head -n 1)

rkfg

#!/bin/sh
FLAGS=-v
if [ "$1" = "-n" ]
then
  FLAGS="$1"
  shift
fi
rename $FLAGS 's#(^\[[^]]*\])[ _]?(.+?)(\.([a-zA-Z0-9]*$)|$)#$2 $1$3#' "$@"

rkfg

#!/bin/sh
TEXT=$(xsel | awk '{print toupper($0)}')
(echo
echo $TEXT | sed 's#\(.\)#\1 #g'
echo $TEXT | sed 's#.\(.*\)#\1#' | sed 's#\(.\)#\1\n#g') | xsel -ib

rkfg

#!/bin/sh
FLAGS=
PICSPATH=
PREFIX=http://ipfs.pics/
if [ -d "$1" ]
then
  FLAGS=-r
else
  PICSPATH=ipfs/
fi

rkfg

        NeuralNetConfiguration.Builder builder = new NeuralNetConfiguration.Builder();
        builder.iterations(1).learningRate(LEARNING_RATE).rmsDecay(RMS_DECAY)
                .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT).seed(123).miniBatch(true).updater(Updater.RMSPROP)
                .weightInit(WeightInit.XAVIER).regularization(true).l2(L2)
                .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer);

        GraphBuilder graphBuilder = builder.graphBuilder().pretrain(false).backprop(true).backpropType(BackpropType.TruncatedBPTT)
                .tBPTTBackwardLength(TBPTT_SIZE).tBPTTForwardLength(TBPTT_SIZE);
        graphBuilder.addInputs("firstLine").setInputTypes(InputType.recurrent(dict.size()))
                .addLayer("encoder", new GravesLSTM.Builder().nIn(dict.size()).nOut(HIDDEN_LAYER_WIDTH).activation(Activation.TANH).build(),

rkfg

package dlchat;

import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

rkfg

package dlchat;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;

import org.apache.commons.lang3.ArrayUtils;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.MultiDataSet;

rkfg

Init time: 37613951                                            
Array fill time: 6812863 
Array fill time: 6265411  
Array fill time: 2826787 
Array fill time: 9876213                                      
Array fill time: 5156147  
Array fill time: 5691762                                       
Array fill time: 3642745  
Array fill time: 2023969                                      
Array fill time: 10827237