In python please!

Converting a CSR Matrix to a Dense Matrix You are given a sparse matrix in SciPy's CSR format as A_csr. Write a code snippet that converts A csr to its dense (i.e. full numpy array) form and saves it to A. Note: You must implement this functionality yourself. Using any related functionality in scipy.sparse (or other sparse-matrix-related code) is not allowed and explicitly disabled by the autograder. You should use the following properties of the csr matrix: A_csr.indptr: row start pointers A csr.indices: column indices for the non-zero values . A csr.data: non-zero values in A A_csr.shape: shape of A The setup code gives the following variable Name ype scipy.sparse.csr_matrix Description The matrix A as a sparse matrix csr Your code snippet should define the following variable: Name Type 2D numpy array Description The matrix A as a dense matrix Converting a CSR Matrix to a Dense Matrix You are given a sparse matrix in SciPy's CSR format as A_csr. Write a code snippet that converts A csr to its dense (i.e. full numpy array) form and saves it to A. Note: You must implement this functionality yourself. Using any related functionality in scipy.sparse (or other sparse-matrix-related code) is not allowed and explicitly disabled by the autograder. You should use the following properties of the csr matrix: A_csr.indptr: row start pointers A csr.indices: column indices for the non-zero values . A csr.data: non-zero values in A A_csr.shape: shape of A The setup code gives the following variable Name ype scipy.sparse.csr_matrix Description The matrix A as a sparse matrix csr Your code snippet should define the following variable: Name Type 2D numpy array Description The matrix A as a dense matrix