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kubectl config set-context --current --namespace=namepsace_name

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# install 
pip install tensorflowjs

# convert h5 model to json
tensorflowjs_converter --input_format=keras model_3.h5 model_3.json

# view the model in json format:
python -m json.tool model.json

# note: jq need os access to install, not just a pip install, 

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find . -name '*.js' -exec grep -i 'NPM_TOKE' {} \; -print

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#conda create an env
conda create -n py376-tf241 ipykernel python=3.7.6
conda activate py376-tf241

# find out current gpu avaliablity

import tensorflow as tf
print(tf.__version__)
print(tf.config.list_pysical_devices())

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sudo service docker stop

sudo vi /etc/docker/daemon.json

{ 
   "data-root": "/path/to/your/docker" 
}

sudo service docker start

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# install docker
sudo apt-get update

sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg \
    lsb-release

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cd .git/hooks
curl -o pre-commit.sh https://raw.githubusercontent.com/google/yapf/main/plugins/pre-commit.sh
chmod a+x pre-commit.sh

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mkdir -p data_sources && curl -s "http://localhost:3000/api/datasources"  -u admin:admin|jq -c -M '.[]'|split -l 1 - data_sources/

for i in data_sources/*; do \
    curl -X "POST" "http://localhost:3000/api/datasources" \
    -H "Content-Type: application/json" \
     --user admin:admin \
     --data-binary @$i
done

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##FILE SPACING:

 # double space a file
 sed G

 # double space a file which already has blank lines in it. Output file
 # should contain no more than one blank line between lines of text.
 sed '/^$/d;G'

 # triple space a file

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    1  launch.sh
    2  curl -L https://github.com/kubernetes/kompose/releases/download/v1.9.0/kompose-linux-amd64 -o /usr/bin/kompose && chmod +x /usr/bin/kompose
    3  kompose up
    4  kubectl get deployment,svc,pods,pvc
    5  kompose convert
    6  ls
    7  kubectl apply -f frontend-service.yaml,redis-master-service.yaml,redis-slave-service.yaml,frontend-deployment.yaml,redis-master-deployment.yaml,redis-slave-deployment.yaml
    8  kompose --provider openshift convert
    9  kompose convert -j
   10  ls -l