def matrix_gen_test(func1,func2,distance):
matrix = []
block_index = []
block_column = []
print func1.getseq()
engine_x = st.resort_block(func1.getseq(),func1)
engine_y = st.resort_block(func2.getseq(),func2)
print engine_x
for block1 in func1.getblocks():
block_index.append(block1.get_label())
for block2 in func2.getblocks():
block_column.append(block2.get_label())
for block1 in engine_x:
line = []
for block2 in engine_y:
line.append(distance(block1,block2))
matrix.append(line)
#print_matrix(matrix)
#al.build_matrix_df(matrix,block_index,block_column)
simi_mat = ex.public_sequence(matrix,func1.getseq(),func2.getseq(),cf.min_seq_length,cf.threshhold,cf.max_gap_length)
li = []
for item in matrix:
li.append(max(item))
i = len(matrix)
j = len(matrix[0])
visual.draw_matrix(matrix,i,j,max(li),simi_mat)
def matrix_gen(func1,func2,distance):
matrix = []
block_index = []
block_column = []
for block1 in func1.getblocks():
block_index.append(block1.get_label())
for block2 in func2.getblocks():
block_column.append(block2.get_label())
for block1 in func1.getblocks():
line = []
for block2 in func2.getblocks():
line.append(distance(block1.get_list(),block2.get_list()))
matrix.append(line)
#print_matrix(matrix)
#al.build_matrix_df(matrix,block_index,block_column)
simi_mat = ex.public_sequence(matrix,block_index,block_column,4,0.33,1)
li = []
for item in matrix:
li.append(max(item))
i = len(matrix)
j = len(matrix[0])
visual.draw_matrix(matrix,i,j,max(li),simi_mat)