reduce some layer

.github/workflows/build.yml

@@ -5,7 +5,7 @@ on:
     branches:
       - 'main'
   schedule:
-      - cron: '12 3 5 * *' #At 03:12 on day-of-month 5
+      - cron: '15 3 5 * *' #At 03:15 on day-of-month 5
 
 jobs:
   build:

Dockerfile

@@ -1,6 +1,7 @@
 FROM quay.io/jupyter/minimal-notebook
 
 ARG CONDA_ENV_NAME=cling
+ARG python_version=3.8
 
 # Switch to root user
 USER root
@@ -10,23 +11,17 @@ RUN apt-get update && apt-get install -y \
     build-essential 
 
 # Create and activate conda environment
-RUN conda create -n $CONDA_ENV_NAME python=3.8 && \
+RUN conda create -n $CONDA_ENV_NAME python=$python_version && \
     echo "conda activate $CONDA_ENV_NAME" >> /etc/profile.d/conda.sh && \
     conda init && \
     exec bash
 
-# Install xeus-cling and its dependencies
+# Install xeus-cling and its dependencies && Install the Kernel Spec
 RUN /bin/bash -c "source activate $CONDA_ENV_NAME && \
-    mamba install xeus-cling -c conda-forge --yes"
-
-# Switch back to non-root user
-# USER $NB_UID
-
-#Install the Kernel Spec
-RUN /bin/bash -c "source activate $CONDA_ENV_NAME && \
-                jupyter kernelspec install /opt/conda/envs/cling/share/jupyter/kernels/xcpp11 --sys-prefix && \
-                jupyter kernelspec install /opt/conda/envs/cling/share/jupyter/kernels/xcpp14 --sys-prefix && \
-                jupyter kernelspec install /opt/conda/envs/cling/share/jupyter/kernels/xcpp17 --sys-prefix"
+    mamba install xeus-cling -c conda-forge --yes && \
+    jupyter kernelspec install /opt/conda/envs/cling/share/jupyter/kernels/xcpp11 --sys-prefix && \
+    jupyter kernelspec install /opt/conda/envs/cling/share/jupyter/kernels/xcpp14 --sys-prefix && \
+    jupyter kernelspec install /opt/conda/envs/cling/share/jupyter/kernels/xcpp17 --sys-prefix"
 
 # Set the default command to start Jupyter Notebook
 CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]

README.md

@@ -8,7 +8,7 @@ This repository provides a Dockerfile for running [cling](https://github.com/roo
 
 To pull the Docker image, use the following command:
 ```bash
- docker pull p01arn0va/cling-jupyter
+docker pull p01arn0va/cling-jupyter
 ```
 
 Here is an example of how to run the Docker image:
@@ -18,7 +18,7 @@ docker run -it --rm -p8888:8888 -v $PWD:/home/jovyan/work p01arn0va/cling-jupyte
 
 ### Building the Docker Image
 
-To build the Docker image locally, run the following command in the repository’s root directory:
+To build the Docker image locally, run the following command in the repository's root directory:
 
 ```bash
 docker build -t cling-jupyter .