Grouped lasso model over 50,100, 150 and 200 respectively using function cv.glmnet in the glmnet package

General
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How can I write r code to tune optimal shrinkage parameters for a model over 50,100, 150 and 200 respectively using function cv.glmnet in the glmnet package.

I have used cv.glmnet to fit a grouped lasso but was unable to reach my objectives.
Thanks

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