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chore: bump version v0.0.1-alpha.5 (#181)
Signed-off-by: Ce Gao <cegao@tensorchord.ai>
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README.md

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@@ -29,7 +29,7 @@ envd is a development environment management tool for data scientists.
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### From binary
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```bash
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sudo /bin/sh -c 'wget https://github.com/tensorchord/envd/releases/download/0.0.1-alpha.3/envd_0.0.1-alpha.3_Linux_x86_64 -O /usr/local/bin/envd && chmod +x /usr/local/bin/envd && /usr/local/bin/envd bootstrap'
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sudo /bin/sh -c 'wget https://github.com/tensorchord/envd/releases/download/0.0.1-alpha.5/envd_0.0.1-alpha.5_Linux_x86_64 -O /usr/local/bin/envd && chmod +x /usr/local/bin/envd && /usr/local/bin/envd bootstrap'
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```
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### From source code
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Then you can run `envd up` and open jupyter notebook at [`http://localhost:8888`](http://localhost:8888), or open vscode remote to attach to the container.
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```
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[+] ⌚ parse build.envd and download/cache dependencies 23.7s ✅ (finished)
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=> download oh-my-zsh 13.5s
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=> download ms-vscode.cpptools-1.7.1 2.1s
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=> download github.copilot-1.12.5517 1.3s
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=> download ms-python.python-2021.12.1559732655 6.7s
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[+] 🐋 build envd environment 4.4s (23/24)
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=> 💽 (cached) copy /ms-python.python-2021.12.1559732655/extension /root/ 0.0s
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=> 💽 (cached) merge (copy /ms-vscode.cpptools-1.7.1/extension /root/.vsc 0.0s
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=> 💽 (cached) mkfile /etc/apt/sources.list 0.0s
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=> 💽 (cached) merge (docker-image://docker.io/nvidia/cuda:11.6.0-cudnn8- 0.0s
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=> 💽 (cached) mkfile /etc/pip.conf 0.0s
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=> 💽 (cached) merge (merge (docker-image://docker.io/nvidia/cuda:11.6.0- 0.0s
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=> 💽 (cached) sh -c apt-get update && apt-get install -y --no-install-re 0.0s
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=> 💽 (cached) pip install tensorflow numpy jupyter 0.0s
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=> 💽 (cached) diff (sh -c apt-get update && apt-get install -y --no-inst 0.0s
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[+] ⌚ parse build.envd and download/cache dependencies 0.0s ✅ (finished)
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=> 💽 (cached) download oh-my-zsh 0.0s
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=> 💽 (cached) download ms-python.python 0.0s
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[+] 🐋 build envd environment 7.7s (24/25)
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=> 💽 (cached) (built-in packages) apt-get install curl openssh-client g 0.0s
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=> 💽 (cached) create user group envd 0.0s
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=> 💽 (cached) create user envd 0.0s
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=> 💽 (cached) add user envd to sudoers 0.0s
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=> 💽 (cached) (user-defined packages) apt-get install screenfetch 0.0s
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=> 💽 (cached) install system packages 0.0s
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=> 💽 (cached) pip install jupyter 0.0s
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=> 💽 (cached) install PyPI packages 0.0s
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=> 💽 (cached) install envd-ssh 0.0s
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=> 💽 (cached) install vscode plugin ms-python.python 0.0s
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=> 💽 (cached) copy /oh-my-zsh /home/envd/.oh-my-zsh 0.0s
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=> 💽 (cached) mkfile /home/envd/install.sh 0.0s
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=> 💽 (cached) install oh-my-zsh 0.0s
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...
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# You are in the docker container for dev
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envd >
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### Configure mirrors
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```
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```text
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cat ~/.config/envd/config.envd
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ubuntu_apt(source="""
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deb https://mirror.sjtu.edu.cn/ubuntu focal main restricted
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""")
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pip_mirror(mirror = "https://mirror.sjtu.edu.cn/pypi/web/simple")
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vscode(plugins = [
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"ms-vscode.cpptools-1.7.1",
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"github.copilot-1.12.5517"
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"ms-python.python",
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"github.copilot"
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])
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```
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@@ -118,4 +120,4 @@ envd is backed by [TensorChord](https://github.com/tensorchord) and licensed und
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We welcome all kinds of contributions from the open-source community, individuals, and partners.
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- Join our [discord community](https://discord.gg/KqswhpVgdU)!
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- To build from source, check the [contributing page](./CONTRIBUTING.md).
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- To build from the source, check the [contributing page](./CONTRIBUTING.md).

cmd/envd/main.go

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@@ -61,7 +61,7 @@ func run(args []string) (bool, error) {
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Name: flag.FlagSSHImage,
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Usage: "Download the envd-ssh image",
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// TODO(gaocegege): Use version.Version to generate the right URL.
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Value: "ghcr.io/tensorchord/envd-ssh-from-scratch:0.0.1-alpha.3",
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Value: "ghcr.io/tensorchord/envd-ssh-from-scratch:0.0.1-alpha.5",
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Hidden: true,
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},
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}

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