def templateTextTreeRepresentation(self, sample_path):
sample = read_sample(sample_path)
tree = kdtree(sample)
representation = kdtree_text_visualizer(tree).visualize(False)
assert representation != None
assert len(representation) > 0
amount_lines = representation.count("\n")
expected_lower_edge = math.log2(len(sample)) * len(sample[0])
assert expected_lower_edge <= amount_lines
def templateTextTreeRepresentation(self, sample_path, numpy_usage=False):
sample = read_sample(sample_path);
if numpy_usage is True:
sample = numpy.array(sample)
tree = kdtree(sample);
representation = kdtree_text_visualizer(tree).visualize(False);
assert representation != None;
assert len(representation) > 0;
amount_lines = representation.count("\n");
expected_lower_edge = math.log2(len(sample)) * len(sample[0]);
assert expected_lower_edge <= amount_lines;
def template_build_visualize(sample_path):
print("KD Tree for sample: '" + sample_path + "'");
sample = read_sample(sample_path);
tree_instance = kdtree(sample);
kdtree_text_visualizer(tree_instance).visualize(True);
def template_build_visualize(sample_path):
print("KD Tree for sample: '" + sample_path + "'")
sample = read_sample(sample_path)
tree_instance = kdtree(sample)
kdtree_text_visualizer(tree_instance).visualize(True)
