human
Solve the following python programming problem given the following code:
# Inspired by: http://stackoverflow.com/questions/20224526/
# how-to-extract-the-decision-rules-from-scikit-learn-decision-tree
def get_rule(tree, feature_names, leaf):
        left      = tree.tree_.children_left
        right     = tree.tree_.children_right
        threshold = tree.tree_.threshold
        features  = [feature_names[i] for i in tree.tree_.feature]
        value = tree.tree_.value
        samples = tree.tree_.n_node_samples
        global count
        count = 0;
        global result
        result = {};

        def recurse_up(left, right, threshold, features, node):
            global count
            global result
            count = count+1;
            #print(count)
            if node != 0:
                for i, j in enumerate(right):
                    if j == node:
                        print( 'Node:', node, 'is right of:',i, ' with ', features[i], '>', threshold[i])
                        result[count] = [features[i], False, threshold[i]]
                        return(recurse_up(left, right, threshold, features, i))
                for i, j in enumerate(left):
                    if j == node:
                        print('Node:', node,  'is left of',i,' with ', features[i], '<= ', threshold[i])
                        result[count] = [features[i], True, threshold[i]]
                        return(recurse_up(left, right, threshold, features, i))
            else :
                return(result)
        
        print('Leaf:',leaf, ', value: ', value[leaf][0][0], ', samples: ', samples[leaf])
        recurse_up(left, right, threshold, features, leaf)
        return(result)

branch_to_leaf=get_rule(regtree, time_regression_df.ix[:,0:6].columns,max_leaf[0])

branch_to_leaf
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python code you requested.

Retrieve the decision path that leads to the leaf