Madhu Raka

25 papers Journal 25
YearRankTypeTitle / Venue / Authors
2024 J jnl
Discret. Math. Algorithms Appl.
Swati Bhardwaj, Mokshi Goyal, Madhu Raka
2022 J jnl
CoRR
Swati Bhardwaj, Madhu Raka
2022 J jnl
CoRR
Swati Bhardwaj, Mokshi Goyal, Madhu Raka
2022 J jnl
CoRR
Swati Bhardwaj, Madhu Raka
2020 J jnl
J. Appl. Math. Comput.
Mokshi Goyal, Madhu Raka
2020 J jnl
Appl. Algebra Eng. Commun. Comput.
Swati Bhardwaj, Madhu Raka
2020 J jnl
Adv. Math. Commun.
Somphong Jitman, Supawadee Prugsapitak, Madhu Raka
2020 J jnl
CoRR
Swati Bhardwaj, Madhu Raka
2019 J jnl
CoRR
Swati Bhardwaj, Madhu Raka
2018 J jnl
Int. J. Inf. Coding Theory
Mokshi Goyal, Madhu Raka
2018 J jnl
CoRR
Mokshi Goyal, Madhu Raka
2018 J jnl
Discret. Math. Algorithms Appl.
Mokshi Goyal, Madhu Raka
2018 J jnl
CoRR
Mokshi Goyal, Madhu Raka
2018 J jnl
Cryptogr. Commun.
Mokshi Goyal, Madhu Raka
2017 J jnl
Cryptogr. Commun.
Madhu Raka, Leetika Kathuria, Mokshi Goyal
2016 J jnl
CoRR
Mokshi Goyal, Madhu Raka
2013 J jnl
Finite Fields Their Appl.
Gurmeet K. Bakshi, Madhu Raka
2012 J jnl
Finite Fields Their Appl.
Gurmeet K. Bakshi, Madhu Raka
2012 J jnl
Finite Fields Their Appl.
Gurmeet K. Bakshi, Madhu Raka
2012 J jnl
Adv. Math. Commun.
Leetika Kathuria, Madhu Raka
2008 J jnl
Ars Comb.
Anuradha Sharma, Gurmeet K. Bakshi, V. C. Dumir, Madhu Raka
2007 J jnl
Ars Comb.
Anuradha Sharma, Gurmeet K. Bakshi, Madhu Raka
2007 J jnl
Finite Fields Their Appl.
Anuradha Sharma, Gurmeet K. Bakshi, Madhu Raka
2007 J jnl
Finite Fields Their Appl.
Anuradha Sharma, Gurmeet K. Bakshi, Madhu Raka
2004 J jnl
Finite Fields Their Appl.
Anuradha Sharma, Gurmeet K. Bakshi, V. C. Dumir, Madhu Raka
docker-build.sh
← Index docker-build.sh bash
#!/bin/bash

set -e

echo "Building REDB Docker image for linux/amd64 platform..."

# Function to tag the most recent <none> image
tag_unnamed_image() {
    local tag_name=$1
    local expected_size=$2
    
    # Get the most recent <none> image
    local image_id=$(docker images --filter "dangling=true" --format "{{.ID}}" | head -1)
    
    if [ -z "$image_id" ]; then
        echo "ERROR: No unnamed image found. Build may have failed."
        return 1
    fi
    
    local actual_size=$(docker images --format "table {{.ID}}\t{{.Size}}" | grep $image_id | awk '{print $2}')
    echo "Found image $image_id with size: $actual_size (expected: $expected_size)"
    
    # Tag the image
    echo "Tagging as $tag_name..."
    docker tag $image_id $tag_name
    
    return 0
}

# Build single unified image
echo ""
echo "Building REDB unified image - Supports both feature extraction and decompilation..."
echo "NOTE: If build hangs at 'exporting to image', press Ctrl+C - the image will still be created!"
echo ""

docker build --platform linux/amd64 -f Dockerfile -t redb:latest . || echo "Build interrupted (this is expected due to Docker Desktop bug)"

# Tag the image if it was built as unnamed
if docker images --filter "dangling=true" --format "{{.ID}}" | head -1 | grep -q "."; then
    tag_unnamed_image "redb:latest" "500MB"
fi

echo ""
echo "Docker build completed!"
echo ""
echo "Available images:"
docker images | grep redb

echo ""
echo "Image size:"
echo "REDB unified image: $(docker images redb:latest --format "{{.Size}}")"

echo ""
echo "Usage:"
echo "  Feature extraction: docker run redb:latest python3 start.py --nomad-job"
echo "  Decompilation:      docker run redb:latest python3 start.py --nomad-job --decompile"
echo "  Custom modules:     docker run redb:latest python3 start.py --nomad-job --modules BasicPropertiesExtractor,PEFeaturesExtractor"