Esempio n. 1
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def graph_degree(A):
    """
    Returns the degree for the nodes (rows) of a symmetric 
    graph in sparse CSR or CSC format, or a qobj.
    
    Parameters
    ----------
    A : qobj, csr_matrix, csc_matrix
        Input quantum object or csr_matrix.
    
    Returns
    -------
    degree : array
        Array of integers giving the degree for each node (row).
    
    """
    if A.__class__.__name__ == 'Qobj':
        return _node_degrees(A.data.indices, A.data.indptr, A.shape[0])
    else:
        return _node_degrees(A.indices, A.indptr, A.shape[0])
Esempio n. 2
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def graph_degree(A):
    """
    Returns the degree for the nodes (rows) of a symmetric 
    graph in sparse CSR or CSC format, or a qobj.
    
    Parameters
    ----------
    A : qobj, csr_matrix, csc_matrix
        Input quantum object or csr_matrix.
    
    Returns
    -------
    degree : array
        Array of integers giving the degree for each node (row).
    
    """
    if A.__class__.__name__=='Qobj':
        return _node_degrees(A.data.indices, A.data.indptr, A.shape[0])
    else:
        return _node_degrees(A.indices, A.indptr, A.shape[0])
Esempio n. 3
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def graph_degree(A):
    """
    Returns the degree for the nodes (rows) of a symmetric
    graph in sparse CSR or CSC format, or a qobj.

    Parameters
    ----------
    A : qobj, csr_matrix, csc_matrix
        Input quantum object or csr_matrix.

    Returns
    -------
    degree : array
        Array of integers giving the degree for each node (row).

    """
    if not (sp.isspmatrix_csc(A) or sp.isspmatrix_csr(A)):
        raise TypeError('Input must be CSC or CSR sparse matrix.')
    return _node_degrees(A.indices, A.indptr, A.shape[0])
Esempio n. 4
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def graph_degree(A):
    """
    Returns the degree for the nodes (rows) of a symmetric
    graph in sparse CSR or CSC format, or a qobj.

    Parameters
    ----------
    A : qobj, csr_matrix, csc_matrix
        Input quantum object or csr_matrix.

    Returns
    -------
    degree : array
        Array of integers giving the degree for each node (row).

    """
    if not (sp.isspmatrix_csc(A) or sp.isspmatrix_csr(A)):
        raise TypeError('Input must be CSC or CSR sparse matrix.')
    return np.asarray(_node_degrees(A.indices, A.indptr, A.shape[0]))