def TestCrawler():
index = IndexManager.get_proxy()
dimension = [20, 10, 2]
x, y = lib.split(lib.get_pages(dimension))
crawler_x, crawler_y = lib.split(index.get_depth_stat())
plt.title('crawler verification, dimensions: %s' % dimension)
plt.plot(x, y, 'b')
plt.plot(crawler_x, crawler_y, 'ro')
plt.xlabel('depth')
plt.ylabel('crawl frontier')
plt.show()
def WebDimension():
index = IndexManager.get_proxy()
x, y = lib.split(lib.dimensions(index.get_depth_stat()))
plt.title('web dimensions')
plt.plot(x, y, 'b', x, y , 'bo')
plt.xlabel('depth')
plt.ylabel('dimension')
plt.show()
def DimensionsRecognition():
dimension = [50, 300, 500]
depth = max(dimension)/2 + 10
plt.title('dimensions recognition, dimensions: %s' % dimension)
x, y = lib.split(lib.dimensions(lib.get_pages(dimension, depth)))
plt.plot(x, y, 'b')
for d in dimension:
dx = [0.5*d, 0.5*d]
dy = [0, len(dimension)]
plt.plot(dx, dy, 'r')
plt.legend(['dimension recognition', 'dimension values'])
plt.xlabel('depth')
plt.ylabel('dimension')
plt.axis([0, depth, 0, len(dimension)+ 0.2])
plt.show()
def WebSpaceShapes(log_scale = False):
depth = 80
dimensions =[[80, 80, 80],[40, 40, 120], [40, 10, 120]]
for d in dimensions:
x, y = lib.split(lib.get_pages(d, depth))
plt.plot(x, y)
plt.title('different shapes of web space')
plt.legend(dimensions)
plt.xlabel('depth')
plt.ylabel('crawl frontier')
if log_scale:
plt.xscale('log')
plt.yscale('log')
plt.axis([1, 1000, 10, 10000])
plt.show()
