Exemple #1
0
def main():
    d = build_dict()

    ############################
    # TODO: Build a priority queue based on d
    priority_queue = PriorityQueue()
    for ch, count in d.items():
        tree = Tree(None, ch, None)
        priority_queue.enqueue((tree, count))
    #priority_queue.traversal()
    ############################
    tree = encoding(priority_queue)
    print(decoding(tree, '1010101101010100010100110100000101010101100111'))
Exemple #2
0
def encoding(pq):
    """
    :param pq: PriorityQueue, containing all the ch we need to encode
    :return: Tree, a binary tree that has all the ch encoded
    """
    while True:
        left = pq.dequeue()
        right = pq.dequeue()
        new_value = left.value[1] + right.value[1]
        tree = Tree(left.value[0], new_value, right.value[0])
        if pq.length() == 0:
            return tree
        else:
            pq.enqueue((tree, new_value))
Exemple #3
0
            (gt_E, gt_D, D, gt_T) = tg.generate()
            gensNames = list(str(i) for i in range(M))
            print(gensNames)

            C_num = D.shape[1]
            G_num = D.shape[0]

            ### Run
            dl = list(d for d in D)
            root = [n for n, d in gt_T.in_degree() if d == 0][0]
            print('ROOT:', root)
            logfile.write('ROOT:{}\n'.format(root))
            T = Tree(gensNames,
                     D,
                     data_list=dl,
                     root=str(root),
                     alpha=alpha,
                     beta=beta,
                     logfile=logfile)
            T.set_ground_truth(gt_D, gt_E, gt_T=gt_T)
            T.randomize()

            for i in range(step_num):
                if T.next():
                    break
            # T.plot_all_results()
            T.save_mats(prefix_dir)
            logfile.close()
            break

        # except:
Exemple #4
0
edges = [('DNM3', 'ITGAD'), ('ITGAD', 'BTLA'), ('BTLA', 'PAMK3'),
         ('PAMK3', 'FCHSD2'), ('FCHSD2', 'LSG1'), ('LSG1', 'DCAF8L1'),
         ('DCAF8L1', 'PIK3CA'), ('PIK3CA', 'CASP3'), ('CASP3', 'TRIM58'),
         ('TRIM58', 'TCP11'), ('TCP11', 'MARCH11'), ('MARCH11', 'DUSP12'),
         ('DUSP12', 'PPP2RE'), ('PPP2RE', 'ROPN1B'), ('ROPN1B', 'PITRM1'),
         ('PITRM1', 'FBN2'), ('FBN2', 'PRDM9'), ('FBN2', 'GPR64'),
         ('PRDM9', 'CABP2'), ('PRDM9', 'ZEHX4'), ('PRDM9', 'H1ENT'),
         ('PRDM9', 'WDR16'), ('CABP2', 'TRIB2'), ('ZEHX4', 'DKEZ'),
         ('WDR16', 'GLCE'), ('GLCE', 'CALD1'), ('CABP2', 'C15orf23'),
         ('CABP2', 'CNDP1'), ('CNDP1', 'CXXX1'), ('CNDP1', 'c1orf223'),
         ('CXXX1', 'FUBP3'), ('c1orf223', 'TECTA'), ('GPR64', 'MUTHY'),
         ('MUTHY', 'SEC11A'), ('SEC11A', 'KIAA1539'), ('SEC11A', 'RABGAP1L'),
         ('RABGAP1L', 'ZNE318'), ('KIAA1539', 'FGFR2'), ('FGFR2', 'PLXNA2')]

dl = list(d for d in D)
SNT = Tree(gensNames, D=D, data_list=dl, name='Paper Tree')
SNT.set_edges(edges, remove_edges=True)

_.print_bold('SCITE Navis\'s Tree Error:', SNT.get_best_error())
SNT.plot_best_T('paper_tree')

### Run
dl = list(d for d in D)
T = Tree(gensNames, D=D, data_list=dl)
# edges = [('PIK3CA', 'c1orf223'),('PIK3CA', 'TCP11'),('DNM3', 'ITGAD'),('TRIM58', 'DUSP12'),('DCAF8L1', 'FCHSD2'),('DCAF8L1', 'GLCE'),('FBN2', 'PPP2RE'),('FCHSD2', 'LSG1'),('CASP3', 'PITRM1'),('CASP3', 'RABGAP1L'),('ITGAD', 'DCAF8L1'),('PPP2RE', 'ROPN1B'),('LSG1', 'PIK3CA'),('ROPN1B', 'MARCH11'),('BTLA', 'FBN2'),('DUSP12', 'BTLA'),('MARCH11', 'CASP3'),('MARCH11', 'CALD1'),('TCP11', 'TRIM58'),('TCP11', 'CNDP1'),('PITRM1', 'PRDM9'),('PITRM1', 'ZEHX4'),('PITRM1', 'MUTHY'),('PITRM1', 'CXXX1'),('PRDM9', 'CABP2'),('PRDM9', 'PAMK3'),('MUTHY', 'FGFR2'),('GPR64', 'TRIB2'),('SEC11A', 'C15orf23'),('SEC11A', 'PLXNA2'),('C15orf23', 'H1ENT'),('DKEZ', 'FUBP3'),('FUBP3', 'WDR16'),('WDR16', 'GPR64'),('RABGAP1L', 'TECTA'),('RABGAP1L', 'ZNE318'),('RABGAP1L', 'KIAA1539'),('RABGAP1L', 'SEC11A'),('GLCE', 'DKEZ')]
# T.set_edges(edges, remove_edges=True)
T.randomize()
T.plot_best_T('sn_initial_tree')

# T.set_edges(edges, remove_edges=True)
for i in range(10):