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Merge pull request #379 from microsoft/bethany-dependancy-partch
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Dependancies patch
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BethanyJep authored Aug 23, 2024
2 parents 0ba9848 + 5b31da5 commit 1cb0b2c
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4 changes: 2 additions & 2 deletions .devcontainer/Dockerfile
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Expand Up @@ -4,8 +4,8 @@ FROM mcr.microsoft.com/vscode/devcontainers/miniconda:0-3
ARG NODE_VERSION="none"
RUN if [ "${NODE_VERSION}" != "none" ]; then su vscode -c "umask 0002 && . /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi

RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
&& apt-get -y install libgl1
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# && apt-get -y install libgl1

# Copy environment.yml (if found) to a temp location so we update the environment. Also
# copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists.
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4 changes: 2 additions & 2 deletions .devcontainer/devcontainer.json
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Expand Up @@ -5,8 +5,8 @@
"dockerfile": "Dockerfile",
"args": {
"NODE_VERSION": "lts/*",
"DOCKER_CLIENT_TIMEOUT": "120",
"COMPOSE_HTTP_TIMEOUT": "120"
"DOCKER_CLIENT_TIMEOUT": "",
"COMPOSE_HTTP_TIMEOUT": ""
}
},
"hostRequirements": {
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34 changes: 17 additions & 17 deletions .devcontainer/environment.yml
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Expand Up @@ -3,22 +3,22 @@ channels:
- defaults
- conda-forge
dependencies:
- ipykernel=6.4.1
- ipython=7.27.0
- ipywidgets=7.6.5
- jupyter=1.0.0
- matplotlib=3.4.2
- numpy=1.22.3
- python=3.8.12ip
- requests=2.26.0
- scikit-learn=0.24.2
- scipy=1.6.2
- pip=21.0.1
- conda-forge::opencv=4.5
- setuptools=58.0.4
- pytorch::pytorch=1.11.0
- pytorch::torchtext=0.12.0
- pytorch::torchvision=0.12.0
- pytorch::torchdata=0.3.0
- ipykernel
- ipython
- ipywidgets
- jupyter
- matplotlib=3.9
- numpy=1.26
- python
- requests=2.32
- scikit-learn
- scipy=1.13
- pip
- conda-forge::opencv
- setuptools
- pytorch::pytorch
- pytorch::torchtext
- pytorch::torchvision
- pytorch::torchdata
- pip:
- -r requirements.txt
19 changes: 9 additions & 10 deletions .devcontainer/requirements.txt
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Expand Up @@ -2,21 +2,20 @@ gensim==4.3.3
gym==0.26.2
huggingface==0.0.1
imageio==2.35.0
keras==2.13.1
nltk==3.8.2
pandas==2.0.3
keras==3.5.0
nltk==3.8.1
pandas==2.2.2
pillow==10.4.0
pygame==2.6.0
scikit-image==0.21.0
scikit-image==0.24.0
seaborn==0.13.2
smart-open==7.0.4
tensorboard-data-server==0.7.2
tensorflow-datasets==4.9.2
tensorflow-datasets==4.9.6
tensorflow-hub==0.16.1
tensorflow-text==2.13.0
tensorflow==2.13.1
tensorboard==2.13.0
tokenizers==0.19.1
tensorflow==2.17.0
tensorboard==2.17.1
tokenizers==0.20.0
torchinfo==1.8.0
tqdm==4.66.5
transformers==4.44.0

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