def test_clean_mask(chip_mask):
from hsviz import draw_func2 as df2
mask = chip_mask
print('Cleaning')
mask2 = clean_mask(mask, 0, 3, .020)
mask3 = clean_mask(mask, 3, 0, .023)
mask4 = clean_mask(mask, 3, 3, .025)
mask5 = clean_mask(mask4, 2, 3, .025)
mask6 = clean_mask(mask5, 1, 0, .025)
mask7 = clean_mask(mask6, 1, 0, .025)
mask8 = clean_mask(mask7, 1, 0, .025)
mask9 = clean_mask(mask8, 1, 3, .025)
print('Drawing')
df2.imshow(mask, pnum=331)
df2.imshow(mask2, pnum=332)
df2.imshow(mask3, pnum=333)
df2.imshow(mask4, pnum=334)
df2.imshow(mask5, pnum=335)
df2.imshow(mask6, pnum=336)
df2.imshow(mask7, pnum=337)
df2.imshow(mask8, pnum=338)
df2.imshow(mask9, pnum=339)
print('Updating')
df2.update()
print('Done')
def test_encounter(hs):
exec(open('hotspotter/encounter.py').read())
encounter.rrr()
dev_api.dev_reload.reload_all_modules()
try:
if USE_TESTCACHE:
raise KeyError('use_testcache=False')
ex2_cxs = helpers.load_testdata('ex2_cxs', uid=hs.get_db_name())
except KeyError:
ex2_cxs = encounter.get_chip_encounters(hs)
helpers.save_testdata('ex2_cxs', uid=hs.get_db_name())
cxs = ex2_cxs[-1]
assert len(cxs) > 1
qcx2_res = encounter.intra_query_cxs(hs, cxs)
# Make a graph between the chips
graph_netx = encounter.make_chip_graph(qcx2_res)
netx.write_dot(graph_netx, 'encounter_graph.dot')
try:
import graph_tool
graph = graph_tool.Graph()
except ImportError as ex:
print(ex)
#encounter.viz_chipgraph(hs, graph, fnum=20, with_images=False)
#encounter.viz_chipgraph(hs, graph, fnum=20, with_images=True)
df2.update()
def test_clean_mask(chip_mask):
from hsviz import draw_func2 as df2
mask = chip_mask
print('Cleaning')
mask2 = clean_mask(mask, 0, 3, .020)
mask3 = clean_mask(mask, 3, 0, .023)
mask4 = clean_mask(mask, 3, 3, .025)
mask5 = clean_mask(mask4, 2, 3, .025)
mask6 = clean_mask(mask5, 1, 0, .025)
mask7 = clean_mask(mask6, 1, 0, .025)
mask8 = clean_mask(mask7, 1, 0, .025)
mask9 = clean_mask(mask8, 1, 3, .025)
print('Drawing')
df2.imshow(mask, pnum=331)
df2.imshow(mask2, pnum=332)
df2.imshow(mask3, pnum=333)
df2.imshow(mask4, pnum=334)
df2.imshow(mask5, pnum=335)
df2.imshow(mask6, pnum=336)
df2.imshow(mask7, pnum=337)
df2.imshow(mask8, pnum=338)
df2.imshow(mask9, pnum=339)
print('Updating')
df2.update()
print('Done')
def viz_localmax(signal1d):
#signal1d = np.array(hist)
from hsviz import draw_func2 as df2
signal1d = np.array(signal1d)
maxpos = np.array(localmax(signal1d))
x_data = range(len(signal1d))
y_data = signal1d
df2.figure('localmax vizualization')
df2.plot(x_data, y_data)
df2.plot(maxpos, signal1d[maxpos], 'ro')
df2.update()
def viz_localmax(signal1d):
#signal1d = np.array(hist)
from hsviz import draw_func2 as df2
signal1d = np.array(signal1d)
maxpos = np.array(localmax(signal1d))
x_data = range(len(signal1d))
y_data = signal1d
df2.figure('localmax vizualization')
df2.plot(x_data, y_data)
df2.plot(maxpos, signal1d[maxpos], 'ro')
df2.update()
def im(img, fnum=0):
from hsviz import draw_func2 as df2
df2.imshow(img, fnum=fnum)
df2.update()
def im(img, fnum=0):
from hsviz import draw_func2 as df2
df2.imshow(img, fnum=fnum)
df2.update()
