def mutate3(child): # Add/Remove Midpoints
if len(child.trail_set) > 0:
choice = random.randint(0, 1)
index = np.random.randint(len(child.trail_set))
trail = child.trail_set[index]
if choice: # Add Midpoint
spline = path_lib.paths()
index = np.random.randint(trail.shape[1] - 1)
new_point = [(trail[0, index] + trail[0, index + 1]) / 2,
(trail[1, index] + trail[1, index + 1]) / 2]
trail = list(trail).insert(index, new_point)
else:
if len(trail) > 2:
ind = np.random.randint(1, len(trail) - 2)
trail.pop(ind)
else:
print("No Trails (Mut3)")
def testPaths(self):
acls = map(path.paths, acltree["A"])
test(acls,
[["A-[-B-p", "A-]-B-q", "A-B-[-r", "]-A-B-s"],
["A-[-B-p", "A-B-q", "A-B-r", "]-A-B-s"]])
ps = map(path.paths, palmtree["A"])
test(ps, [['S-[-Ns-the',
'S-Ns-closest',
'S-Ns-thing',
'S-Ns-P-[-to',
'S-Ns-P-Ns-[-a',
'S-]-Ns-P-Ns-home',
'S-Vsb-was',
'S-N-[-a',
'S-N-string',
'S-N-hammock',
'S-N-S+-[-and',
'S-N-S+-+,',
'S-N-S+-Fa-[-Rq-when',
'S-N-S+-Fa-Ni-it',
'S-N-S+-]-Fa-Vd-rained',
'S-N-S+-+,',
'S-N-S+-Np-[-some',
'S-N-S+-Np-palm',
'S-N-S+-]-Np-fronds',
'S-N-S+-Vd-draped',
'S-N-S+-P-[-over',
']-S-N-S+-P-sticks']])
test({'hi-[-child-grandchild0':1,
']-hi-child3': 1,
'hi-child2':1,
'hi-]-child-grandchild1':1},
dct.count(path.paths(iceread.sentences('''[<sent> <#1:1:A>]
hi
child
grandchild0
grandchild1
child2
child3'''.split('\n'))['A'][0])))
elif (x1 == 0 and y1 == 4):
dir = 'r'
a[4][3][0:2] = a[4][5][0:2] = a[5][4][0:2] = [0, 0]
elif (x1 == 4 and y1 == 8):
dir = 'd'
a[3][4][0:2] = a[4][3][0:2] = a[5][4][0:2] = [0, 0]
elif (x1 == 8 and y1 == 4):
dir = 'l'
a[3][4][0:2] = a[4][5][0:2] = a[4][3][0:2] = [0, 0]
while (True):
points = []
# d= tuple((destination.dest(a,s,sh,co))[0:2])
# print (d)
try:
d = tuple((destination.dest(a, s, sh, co))[0:2])
points = (path.paths(s, d))
except (UnboundLocalError):
file = open('string.txt', 'w+')
file.write('0')
file.close()
sh = input("Enter shape: ")
co = input("Enter color: ")
continue
except (RecursionError):
file = open('string.txt', 'w+')
file.write('0')
file.close()
sh = input("Enter shape: ")
co = input("Enter color: ")
continue
for i in points:
#add flag if you want to plot each fit individually
parser = argparse.ArgumentParser()
parser.add_argument("-g", "--graph", help="Graph the individual fits",
action="store_true")
args = parser.parse_args()
#define how long you want to extrapolate
extrapolate_time = 1.578e+7 #1/2 year
#define how many processes you want to run in parallel
cores = 1
#names of many files are defined here. See path.py for more detail.
[description, datafolder, datalist, pre_cool_offset, post_cool_offset,
calibration, sig_gaussmeter_file, sig_multimeter_file,
fit_graphs, fit_file, param_fit_file] = path.paths(set_list)
#define a function to be looped for each run. A run consists of multiple
#files created from ramping up the current.
def analyze_run(ind):
print('************')
#description of the run. E.g. run079_4layer_helix
print(description[ind])
#check if the initial magnetic field is too large or if the calibration is
#the wrong sign. See quality_check.py for more details
if not quality_check.initial_quality(pre_cool_offset[ind], calibration[ind]):
print('%s does not pass quality test'%(description[ind]))
return
"--graph",
help="Graph the individual fits",
action="store_true")
args = parser.parse_args()
#define how long you want to extrapolate
extrapolate_time = 1.578e+7 #1/2 year
#define how many processes you want to run in parallel
cores = 1
#names of many files are defined here. See path.py for more detail.
[
description, datafolder, datalist, pre_cool_offset, post_cool_offset,
calibration, sig_gaussmeter_file, sig_multimeter_file, fit_graphs,
fit_file, param_fit_file
] = path.paths(set_list)
#define a function to be looped for each run. A run consists of multiple
#files created from ramping up the current.
def analyze_run(ind):
print('************')
#description of the run. E.g. run079_4layer_helix
print(description[ind])
#check if the initial magnetic field is too large or if the calibration is
#the wrong sign. See quality_check.py for more details
if not quality_check.initial_quality(pre_cool_offset[ind],
calibration[ind]):
print('%s does not pass quality test' % (description[ind]))
cores = 1
# names of many files are defined here. See path.py for more detail.
[
description,
datafolder,
datalist,
pre_cool_offset,
post_cool_offset,
calibration,
sig_gaussmeter_file,
sig_multimeter_file,
fit_graphs,
fit_file,
param_fit_file,
] = path.paths(set_list)
# define a function to be looped for each run. A run consists of multiple
# files created from ramping up the current.
def analyze_run(ind):
print("************")
# description of the run. E.g. run079_4layer_helix
print(description[ind])
# check if the initial magnetic field is too large or if the calibration is
# the wrong sign. See quality_check.py for more details
if not quality_check.initial_quality(pre_cool_offset[ind], calibration[ind]):
print("%s does not pass quality test" % (description[ind]))
return
