def test_SCAT(self):
#def get_SCAT(points, low_bound, high_bound, x_max, y_max):
points = [(2., 1.9), (1., 4.5), (5., .2)]
points1 = [(2., 1.9), (1., 4.5), (3.5, .1)]
points2 = [(2., 1.9), (1., 4.5), (3.5, -.1)]
points3 = [(2., 1.9), (1., 4.5), (4., 4.)]
def low_bound(x):
y = 3.5 / -4.3333335 * x + 3.5
return y
def high_bound(x):
y = 6.5 / -7. * x + 6.5
return y
x_max = 7
y_max = 6.5
result = lib_arai.get_SCAT(points, low_bound, high_bound, x_max, y_max)
result1 = lib_arai.get_SCAT(points1, low_bound, high_bound, x_max,
y_max)
result2 = lib_arai.get_SCAT(points2, low_bound, high_bound, x_max,
y_max)
result3 = lib_arai.get_SCAT(points3, low_bound, high_bound, x_max,
y_max)
self.assertTrue(result)
self.assertFalse(result1)
self.assertFalse(result2)
self.assertFalse(result3)
def test_SCAT(self):
# def get_SCAT(points, low_bound, high_bound, x_max, y_max):
points = [(2.0, 1.9), (1.0, 4.5), (5.0, 0.2)]
points1 = [(2.0, 1.9), (1.0, 4.5), (3.5, 0.1)]
points2 = [(2.0, 1.9), (1.0, 4.5), (3.5, -0.1)]
points3 = [(2.0, 1.9), (1.0, 4.5), (4.0, 4.0)]
def low_bound(x):
y = 3.5 / -4.3333335 * x + 3.5
return y
def high_bound(x):
y = 6.5 / -7.0 * x + 6.5
return y
x_max = 7
y_max = 6.5
result = lib_arai.get_SCAT(points, low_bound, high_bound, x_max, y_max)
result1 = lib_arai.get_SCAT(points1, low_bound, high_bound, x_max, y_max)
result2 = lib_arai.get_SCAT(points2, low_bound, high_bound, x_max, y_max)
result3 = lib_arai.get_SCAT(points3, low_bound, high_bound, x_max, y_max)
self.assertTrue(result)
self.assertFalse(result1)
self.assertFalse(result2)
self.assertFalse(result3)
def get_SCAT(self):
slope = self.pars['specimen_b']
x_mean, y_mean = self.x_Arai_mean, self.y_Arai_mean
x_Arai_segment, y_Arai_segment = self.x_Arai_segment, self.y_Arai_segment
box = lib_arai.get_SCAT_box(slope, x_mean, y_mean)
low_bound, high_bound, x_max, y_max, low_line, high_line = box[0], box[1], box[2], box[3], box[4], box[5]
# getting SCAT points
x_Arai_segment, y_Arai_segment = self.x_Arai_segment, self.y_Arai_segment
tmin, tmax = self.tmin, self.tmax
ptrm_checks_temps, ptrm_checks_starting_temps = self.ptrm_checks_temperatures, self.ptrm_checks_starting_temperatures
x_ptrm_check, y_ptrm_check = self.x_ptrm_check, self.y_ptrm_check
tail_checks_temps, tail_checks_starting_temps = self.tail_checks_temperatures, self.tail_checks_starting_temperatures
x_tail_check, y_tail_check = self.x_tail_check, self.y_tail_check
points, fancy_points = lib_arai.get_SCAT_points(x_Arai_segment, y_Arai_segment, tmin, tmax,
ptrm_checks_temps, ptrm_checks_starting_temps,
x_ptrm_check, y_ptrm_check, tail_checks_temps,
tail_checks_starting_temps, x_tail_check, y_tail_check)
# checking each point
SCAT = lib_arai.get_SCAT(points, low_bound, high_bound, x_max, y_max)
fancy_SCAT, SCATs = lib_arai.fancy_SCAT(fancy_points, low_bound, high_bound, x_max, y_max)
#'SCAT_arai': False, 'SCAT_tail': True, 'SCAT_ptrm': True})
self.pars['SCAT'] = fancy_SCAT
self.pars['fail_arai_beta_box_scatter'] = SCATs['SCAT_arai']
self.pars["fail_ptrm_beta_box_scatter"] = SCATs['SCAT_ptrm']
self.pars["fail_tail_beta_box_scatter"] = SCATs['SCAT_tail']
self.pars['scat_bounding_line_high'] = high_line # [y_int, slope]
self.pars['scat_bounding_line_low'] = low_line # [y_int, slope]
return fancy_SCAT
def get_SCAT(self):
if (
len(set(self.y_Arai_segment)) == 1
): # prevents divide by zero, i.e. if all y values in segment are the same [1,1,1]
self.pars['SCAT'] = 0 #float('nan')
self.pars['fail_arai_beta_box_scatter'] = 0 # float('nan')
self.pars["fail_ptrm_beta_box_scatter"] = 0 #float('nan')
self.pars["fail_tail_beta_box_scatter"] = 0 #float('nan')
self.pars['scat_bounding_line_high'] = 0 # float('nan')
self.pars['scat_bounding_line_low'] = 0 #float('nan')
return 0
slope = self.pars['specimen_b']
x_mean, y_mean = self.x_Arai_mean, self.y_Arai_mean
x_Arai_segment, y_Arai_segment = self.x_Arai_segment, self.y_Arai_segment
if 'specimen_b_beta' in self.acceptance_criteria:
box = lib_arai.get_SCAT_box(
slope,
x_mean,
y_mean,
beta_threshold=self.acceptance_criteria['specimen_b_beta']
['value'])
else:
box = lib_arai.get_SCAT_box(slope, x_mean, y_mean)
low_bound, high_bound, x_max, y_max, low_line, high_line = box[0], box[
1], box[2], box[3], box[4], box[5]
# getting SCAT points
x_Arai_segment, y_Arai_segment = self.x_Arai_segment, self.y_Arai_segment
tmin, tmax = self.tmin, self.tmax
ptrm_checks_temps, ptrm_checks_starting_temps = self.ptrm_checks_temperatures, self.ptrm_checks_starting_temperatures
x_ptrm_check, y_ptrm_check = self.x_ptrm_check, self.y_ptrm_check
tail_checks_temps, tail_checks_starting_temps = self.tail_checks_temperatures, self.tail_checks_starting_temperatures
x_tail_check, y_tail_check = self.x_tail_check, self.y_tail_check
points, fancy_points = lib_arai.get_SCAT_points(
x_Arai_segment, y_Arai_segment, tmin, tmax, ptrm_checks_temps,
ptrm_checks_starting_temps, x_ptrm_check, y_ptrm_check,
tail_checks_temps, tail_checks_starting_temps, x_tail_check,
y_tail_check)
# checking each point
SCAT = lib_arai.get_SCAT(points, low_bound, high_bound, x_max, y_max)
fancy_SCAT, SCATs = lib_arai.fancy_SCAT(fancy_points, low_bound,
high_bound, x_max, y_max)
#'SCAT_arai': False, 'SCAT_tail': True, 'SCAT_ptrm': True})
if fancy_SCAT.upper() == 'PASS':
self.pars['SCAT'] = 't'
else:
self.pars['SCAT'] = 'f'
#self.pars['SCAT'] = fancy_SCAT
# set self.pars['SCAT'] to 'g' or 'b' here?
self.pars['fail_arai_beta_box_scatter'] = SCATs['SCAT_arai']
self.pars["fail_ptrm_beta_box_scatter"] = SCATs['SCAT_ptrm']
self.pars["fail_tail_beta_box_scatter"] = SCATs['SCAT_tail']
self.pars['scat_bounding_line_high'] = high_line # [y_int, slope]
self.pars['scat_bounding_line_low'] = low_line # [y_int, slope]
return fancy_SCAT
def get_SCAT(self):
if (len(set(self.y_Arai_segment)) == 1): # prevents divide by zero, i.e. if all y values in segment are the same [1,1,1]
self.pars['SCAT'] = 0 #float('nan')
self.pars['fail_arai_beta_box_scatter'] = 0# float('nan')
self.pars["fail_ptrm_beta_box_scatter"] = 0#float('nan')
self.pars["fail_tail_beta_box_scatter"] = 0#float('nan')
self.pars['scat_bounding_line_high'] = 0# float('nan')
self.pars['scat_bounding_line_low'] = 0#float('nan')
return 0
slope = self.pars['specimen_b']
x_mean, y_mean = self.x_Arai_mean, self.y_Arai_mean
x_Arai_segment, y_Arai_segment = self.x_Arai_segment, self.y_Arai_segment
if 'specimen_b_beta' in self.acceptance_criteria:
box = lib_arai.get_SCAT_box(slope, x_mean, y_mean, beta_threshold=self.acceptance_criteria['specimen_b_beta']['value'])
else:
box = lib_arai.get_SCAT_box(slope, x_mean, y_mean)
low_bound, high_bound, x_max, y_max, low_line, high_line = box[0], box[1], box[2], box[3], box[4], box[5]
# getting SCAT points
x_Arai_segment, y_Arai_segment = self.x_Arai_segment, self.y_Arai_segment
tmin, tmax = self.tmin, self.tmax
ptrm_checks_temps, ptrm_checks_starting_temps = self.ptrm_checks_temperatures, self.ptrm_checks_starting_temperatures
x_ptrm_check, y_ptrm_check = self.x_ptrm_check, self.y_ptrm_check
tail_checks_temps, tail_checks_starting_temps = self.tail_checks_temperatures, self.tail_checks_starting_temperatures
x_tail_check, y_tail_check = self.x_tail_check, self.y_tail_check
points, fancy_points = lib_arai.get_SCAT_points(x_Arai_segment, y_Arai_segment, tmin, tmax,
ptrm_checks_temps, ptrm_checks_starting_temps,
x_ptrm_check, y_ptrm_check, tail_checks_temps,
tail_checks_starting_temps, x_tail_check, y_tail_check)
# checking each point
SCAT = lib_arai.get_SCAT(points, low_bound, high_bound, x_max, y_max)
fancy_SCAT, SCATs = lib_arai.fancy_SCAT(fancy_points, low_bound, high_bound, x_max, y_max)
#'SCAT_arai': False, 'SCAT_tail': True, 'SCAT_ptrm': True})
if fancy_SCAT.upper() == 'PASS':
self.pars['SCAT'] = 't'
else:
self.pars['SCAT'] = 'f'
#self.pars['SCAT'] = fancy_SCAT
# set self.pars['SCAT'] to 'g' or 'b' here?
self.pars['fail_arai_beta_box_scatter'] = SCATs['SCAT_arai']
self.pars["fail_ptrm_beta_box_scatter"] = SCATs['SCAT_ptrm']
self.pars["fail_tail_beta_box_scatter"] = SCATs['SCAT_tail']
self.pars['scat_bounding_line_high'] = high_line # [y_int, slope]
self.pars['scat_bounding_line_low'] = low_line # [y_int, slope]
return fancy_SCAT
