Load mnist dataset from a local file in jupyter

Recently while trying AI coding behind a proxy I was unable to load data from minist dataset from cloud.
So I manually downloaded the file "mnist.npz" kept it in {username}/.keras/datasets/ on my local machine and used the following command to load it

(X_train,y_train),(X_test,y_test)=mnist.load_data(path='mnist.npz');

And this block executed without any errors.

org.eclipse.m2e.MAVEN2_CLASSPATH_CONTAINER will not be exported

I had the same issue after updating my JDK in project and resolved it by replacing my .classpath file with previous one. I noticed the following changes in my .classpath file

    
         name="maven.pomderived" value="true"/>
         name="org.eclipse.jst.component.dependency" value="/WEB-INF/lib"/>
    

The second line was missing from above code

 kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER"/>

This line was missing

     kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-1.8">
    
         name="owner.project.facets" value="java"/>
    

These lines were added so I manually removed them and it all worked again.