import (
	"context"
	"errors"
	"fmt"
	"io"
	"net/http"
	"strings"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore"
	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/storage/azblob"
	"github.com/Azure/azure-sdk-for-go/sdk/storage/azblob/blob"
	"github.com/minio/madmin-go/v3"
)

type warmBackendAzure struct {

fi

SDK_PATH=`xcrun --sdk $SDK --show-sdk-path`

# cmd/cgo doesn't support llvm-gcc-4.2, so we have to use clang.
CLANG=`xcrun --sdk $SDK --find clang`

RUN curl https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-linux-x86_64.tar.gz | \
    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet && \
    ln -s /google-cloud-sdk/bin/gcloud /usr/bin/gcloud
ENV PATH="$PATH:/google-cloud-sdk/bin/:/usr/local/cuda/bin/"

# Download and install patchelf v0.18.0 from GitHub. The default Ubuntu focal

RUN curl https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-linux-arm.tar.gz | \
    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet
ENV PATH="$PATH:/google-cloud-sdk/bin/"

# Install various tools.
# - bats: bash unit testing framework
#         NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break

    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\"; \

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

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.

squash all pull requests on merge.


Gradle Setup
------------

```
$ cat local.properties
sdk.dir=PATH_TO_ANDROID_HOME/sdk
org.gradle.caching=true
```

Running Android Tests
---------------------

$ ANDROID_SDK_ROOT=PATH_TO_ANDROID_HOME/sdk ./gradlew :android-test:connectedCheck -PandroidBuild=true

Committer's Guides
------------------

 * [Concurrency][concurrency]

squash all pull requests on merge.


Gradle Setup
------------

```
$ cat local.properties
sdk.dir=PATH_TO_ANDROID_HOME/sdk
org.gradle.caching=true
```

Running Android Tests
---------------------

$ ANDROID_SDK_ROOT=PATH_TO_ANDROID_HOME/sdk ./gradlew :android-test:connectedCheck -PandroidBuild=true

Committer's Guides
------------------

 * [Concurrency][concurrency]