def test_d4c2_100():
s = D4C2()
aurocs = []
for batch in myrange:
filename = s.download_template("100_" + str(batch))
res = s.score(filename, '100')
aurocs.append(res['AUROC'])
assert_list_almost_equal(aurocs,
[0.5177063077, 0.59869942, 0.515280254692,0.5796535, 0.50947022])
def test_d4c2_100_2():
s = D4C2()
aurocs = []
for batch in myrange:
filename = s.download_template("100_multifactorial_" + str(batch))
res = s.score(filename, '100_multifactorial')
aurocs.append(res['AUROC'])
assert_list_almost_equal(aurocs,
[0.491887457, 0.495480003, 0.506360189, 0.501096420, 0.501367796])
def test_d4c2_100_2():
s = D4C2()
aurocs = []
for batch in myrange:
filename = s.download_template("100_multifactorial_" + str(batch))
res = s.score(filename, '100_multifactorial')
aurocs.append(res['AUROC'])
assert_list_almost_equal(
aurocs,
[0.491887457, 0.495480003, 0.506360189, 0.501096420, 0.501367796])
def test_d4c2_10():
s = D4C2()
aurocs = []
for batch in myrange:
filename = s.download_template("10_" + str(batch))
res = s.score(filename, '10')
aurocs.append(res['AUROC'])
assert_list_almost_equal(
aurocs,
[0.556444444444, 0.521537162162, 0.54, 0.518481518482, 0.449786324786])
def test_d4c2_10():
s = D4C2()
aurocs = []
for batch in myrange:
filename = s.download_template("10_" + str(batch))
res = s.score(filename, '10')
aurocs.append(res['AUROC'])
assert_list_almost_equal(aurocs,
[0.556444444444, 0.521537162162, 0.54, 0.518481518482,
0.449786324786])
def test_d4c2_100():
s = D4C2()
aurocs = []
for batch in myrange:
filename = s.download_template("100_" + str(batch))
res = s.score(filename, '100')
aurocs.append(res['AUROC'])
assert_list_almost_equal(
aurocs,
[0.5177063077, 0.59869942, 0.515280254692, 0.5796535, 0.50947022])
def test_d3c4_10():
# we have templates for 10 only
s = D3C4()
aurocs = []
for batch in ['Ecoli1', 'Ecoli2', 'Yeast1']:
filename = s.download_template('10_'+ batch)
print filename
aurocs.append(s.score(filename, '10')['AUPR'])
assert_list_almost_equal(aurocs,
[0.3294927, 0.6283442, 0.368482140], 7)
def test_rgb2hsv():
assert_list_almost_equal(colors.rgb2hsv(0, 1, 1), (0.5, 1, 1))
assert_list_almost_equal(colors.rgb2hsv(0, 255, 255, normalised=False),
(0.5, 1, 1))
assert_list_almost_equal(hsv2rgb(0.5, 1, 1), (0, 1, 1))
assert_list_almost_equal(colors.hsv2rgb(180, 100, 100, normalised=False),
(0, 1, 1))
def test_d3c4_10():
# we have templates for 10 only
s = D3C4()
s.test()
aurocs = []
for batch in ["Ecoli1", "Ecoli2", "Yeast1"]:
filename = s.download_template("10_" + batch)
print(filename)
aurocs.append(s.score(filename, "10")["AUPR"])
assert_list_almost_equal(aurocs, [0.3294927, 0.6283442, 0.368482140], 7)
# other code
s._warning()
def test_rgb2hls():
assert_list_almost_equal(colors.rgb2hls(0, 1, 1), (0.5, 0.5, 1))
assert_list_almost_equal(colors.rgb2hls(0, 255, 255, normalised=False),
(0.5, 0.5, 1))
assert_list_almost_equal(colors.hls2rgb(0.5, 0.5, 1), (0, 1, 1))
assert_list_almost_equal(colors.hls2rgb(180, 50, 100, normalised=False),
(0., 1, 1))
def test_rgb2hls():
assert_list_almost_equal(colors.rgb2hls(0,1,1) , (0.5,0.5,1))
assert_list_almost_equal(colors.rgb2hls(0,255,255,normalised=False) ,
(0.5,0.5,1))
assert_list_almost_equal(colors.hls2rgb(0.5,0.5,1), (0,1,1))
assert_list_almost_equal(colors.hls2rgb(180, 50, 100, normalised=False),
(0.,1,1))
def test_d3c4_10():
# we have templates for 10 only
s = D3C4()
s.test()
aurocs = []
for batch in ['Ecoli1', 'Ecoli2', 'Yeast1']:
filename = s.download_template('10_'+ batch)
print(filename)
aurocs.append(s.score(filename, '10')['AUPR'])
assert_list_almost_equal(aurocs,
[0.3294927, 0.6283442, 0.368482140], 7)
# other code
s._warning()
def test_shuffle():
m = XMIDAS(cnodata("MD-ToyPB.csv"))
# shuffling over signals should keep the sum over signal constan
a1 = m.df.sum(axis=0)
for this in ['signal', 'column']:
m.shuffle(mode=this)
a2 = m.df.sum(axis=0)
assert_list_almost_equal(a1, a2)
m.reset()
# shuffling over index keep sum over a given experiment constant
a1 = m.df.sum(level="experiment").sum(axis=1)
m.shuffle(mode="index")
a2 = m.df.sum(level="experiment").sum(axis=1)
assert_list_almost_equal(a1, a2)
m.reset()
m.shuffle(mode="timeseries")
m.reset()
a1 = m.df.sum().sum()
m.shuffle(mode="all")
a2 = m.df.sum().sum()
assert_list_almost_equal([a1], [a2])
def test_rgb2yuv():
assert_list_almost_equal(rgb2yuv(1, 1, 1), (1, 0, 0))
assert_list_almost_equal(rgb2yuv_int(255, 255, 255), (255, 0, 0))
assert_list_almost_equal(yuv2rgb(1, 0, 0), (1, 1, 1))
assert_list_almost_equal(yuv2rgb_int(255, 0, 0), (255, 255, 255))
def testColors():
# test constructors
c = colors.Color("#FFF")
c = colors.Color(rgb=(0, 0, 0))
c = colors.Color(hls=(0, 0, 0))
c = colors.Color(hsv=(0, 0, 0))
c = colors.Color(c)
try:
colors.Color()
assert False
except:
assert True
try:
colors.Color(object)
assert False
except:
assert True
# test setter/getter
c = colors.Color("Blue")
assert c.rgb == (0, 0, 1)
assert c.hex == "#0000FF"
assert_list_almost_equal(c.hsv, (0.66666666666666, 1, 1))
assert_list_almost_equal(c.hls, (0.666666666666666, .5, 1))
print(c)
c.normalised = True
c.name
c.hsv
c.hls
print(c)
assert c.rgb == (0, 0, 1)
c.rgb = (0, 0, 1)
c.hsv = (0, 0, 1)
c.normalised = False
# name can be changed and affects RGB/HEX
c.name = "Magenta"
assert c.rgb == colors._normalise(255, 0.0, 255)
assert c.hex == "#FF00FF"
# hex can be changed and affects name/HEX
c.hex = "#F8F8FF"
assert c.name == "Ghost White" # non official name
#assert c.rgb ==
# RGB can be changed and affects name/HEX
c.rgb = colors._normalise(248, 248, 255)
assert c.name == "Ghost White" # official name
assert c.hex == "#F8F8FF"
assert c.name == "Ghost White" # non official but works
assert c.hex == "#F8F8FF"
c.saturation_hls = 0.5
assert c.saturation_hls == 0.5
c.lightness = 0.5
assert c.lightness == 0.5
c.hue = 0.5
assert c.hue == 0.5
c.hex = "#FF1F1F"
assert c.name == "undefined"
try:
c.hex = "ZFF1F1F"
assert False
except:
assert True
c = colors.Color("red")
assert c.red == 1
assert c.green == 0
assert c.blue == 0
c.blue = 0.
c.green = 0.
c.red = 0
assert c.name == "Black"
c.value
c.value = 0.5
c.yiq
def test_rgb2hsv():
assert_list_almost_equal( colors.rgb2hsv(0,1,1) , (0.5,1,1))
assert_list_almost_equal(colors.rgb2hsv(0,255,255, normalised=False) , (0.5,1,1))
assert_list_almost_equal(hsv2rgb(0.5,1,1) , (0,1,1))
assert_list_almost_equal(colors.hsv2rgb(180,100,100, normalised=False), (0,1,1))
def test_rgb2yuv():
assert_list_almost_equal(rgb2yuv(1,1,1) , (1,0,0))
assert_list_almost_equal(rgb2yuv_int(255,255,255) , (255,0,0))
assert_list_almost_equal(yuv2rgb(1,0,0) , (1,1,1))
assert_list_almost_equal(yuv2rgb_int(255,0,0) , (255,255,255))
def testColors():
# test constructors
c = colors.Color("#FFF")
c = colors.Color(rgb=(0,0,0))
c = colors.Color(hls=(0,0,0))
c = colors.Color(hsv=(0,0,0))
c = colors.Color(c)
try:
colors.Color()
assert False
except:
assert True
try:
colors.Color(object)
assert False
except:
assert True
# test setter/getter
c = colors.Color("Blue")
assert c.rgb == (0, 0 ,1)
assert c.hex == "#0000FF"
assert_list_almost_equal( c.hsv, (0.66666666666666,1,1))
assert_list_almost_equal(c.hls, (0.666666666666666, .5,1))
print(c)
c.normalised = True
c.name
c.hsv
c.hls
print(c)
assert c.rgb == (0,0,1)
c.rgb = (0,0,1)
c.hsv= (0,0,1)
c.normalised = False
# name can be changed and affects RGB/HEX
c.name = "Magenta"
assert c.rgb == colors._normalise(255, 0.0, 255)
assert c.hex == "#FF00FF"
# hex can be changed and affects name/HEX
c.hex = "#F8F8FF"
assert c.name == "Ghost White" # non official name
#assert c.rgb ==
# RGB can be changed and affects name/HEX
c.rgb = colors._normalise(248,248,255)
assert c.name == "Ghost White" # official name
assert c.hex == "#F8F8FF"
assert c.name == "Ghost White" # non official but works
assert c.hex == "#F8F8FF"
c.saturation_hls = 0.5
assert c.saturation_hls == 0.5
c.lightness = 0.5
assert c.lightness == 0.5
c.hue = 0.5
assert c.hue == 0.5
c.hex = "#FF1F1F"
assert c.name == "undefined"
try:
c.hex = "ZFF1F1F"
assert False
except:
assert True
c = colors.Color("red")
assert c.red == 1
assert c.green == 0
assert c.blue == 0
c.blue = 0.
c.green=0.
c.red = 0
assert c.name == "Black"
c.value
c.value = 0.5
c.yiq
