Expand-Archive -Path 'C:\Temp\google-cloud-sdk.zip' -DestinationPath $env:ProgramFiles -Verbose:$false
RUN & \"$env:ProgramFiles\\google-cloud-sdk\\install.bat\" --path-update false
RUN $env:Path += \";$env:ProgramFiles\\google-cloud-sdk\\bin\"; \

    val asmUtil = "org.ow2.asm:asm-util"
    val assertj = "org.assertj:assertj-core"
    val awsS3Core = "com.amazonaws:aws-java-sdk-core"
    val awsS3Kms = "com.amazonaws:aws-java-sdk-kms"
    val awsS3S3 = "com.amazonaws:aws-java-sdk-s3"
    val awsS3Sts = "com.amazonaws:aws-java-sdk-sts"
    val bouncycastlePgp = "org.bouncycastle:bcpg-jdk18on"
    val bouncycastlePkix = "org.bouncycastle:bcpkix-jdk18on"

- github.com/aws/aws-sdk-go-v2/service/ssooidc: [v1.26.2 → v1.30.1](https://github.com/aws/aws-sdk-go-v2/compare/service/ssooidc/v1.26.2...service/ssooidc/v1.30.1)
- github.com/aws/aws-sdk-go-v2/service/sts: [v1.30.1 → v1.33.19](https://github.com/aws/aws-sdk-go-v2/compare/service/sts/v1.30.1...service/sts/v1.33.19)

}

const (
	// Chosen for compatibility with AWS JAVA SDK
	// It has a buffer size of 128K:
	// https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/internal/eventstreaming/MessageDecoder.java#L26
	// but we must make sure there is always space to add 256 bytes:

cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

cuda-nvml-dev-12-3
libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

{
    "name": "s3-zip-example",
    "version": "1.0.0",
    "main": "main.js",
    "dependencies": {
        "aws-sdk": "^2.924.0"
    }

cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

Agora, há alguns casos em que você pode querer ter o **mesmo esquema para entrada e saída**.

Provavelmente, o principal caso de uso para isso é se você já tem algum código de cliente/SDK gerado automaticamente e não quer atualizar todo o código de cliente/SDK gerado ainda, você provavelmente vai querer fazer isso em algum momento, mas talvez não agora.

cuda-nvml-dev-12-8
libcufft-12-8
libcurand-12-8
libcusolver-dev-12-8
libcusparse-dev-12-8
libcublas-12-8
libcublas-dev-12-8
libnccl-dev=2.25.1-1+cuda12.8
libnccl2=2.25.1-1+cuda12.8
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1