Part $1$: Convert the csv string to a NumPy array.

Before implementing $,$ we must first write an auxiliary function called csv$2$array $($csv$)$

that takes the csv string as input and returns a NumPy array with the numerical values. For example, with

input $\text{'}1\mathrm{.}2,0\mathrm{.}5,3\mathrm{.}6\text{'},$ csv$2$array should return the array np$.$array$([1\mathrm{.}2,0\mathrm{.}5,3\mathrm{.}6].$

Notes:

The dtype of the returned array should be float$64.$

Don't worry about checking that the csv string contains only numbers $--$ the autograder will not test the

case that the csv has non$-$numerical values.

Also don't worry about the case that the input is an empty string.

A neat challenge is to try to do this in one line of code, using a list comprehension.

$]$ : d $]$ : grader.check $("$q$1")$