def test_memmap_read(self):
file_io.save('temp.npy', self.Mat)
marray = file_io.open_memmap('temp.npy', mode="r")
self.assertTrue(isinstance(marray, sp.ndarray))
self.assertTrue(isinstance(marray, info_header.InfoMemmap))
self.assertTrue(sp.allclose(marray, self.Mat))
self.assertEqual(marray.info['a'], self.Mat.info['a'])
def test_loads(self):
file_io.save('temp.npy', self.Mat)
Loaded = file_io.load('temp.npy')
self.assertTrue(isinstance(Loaded, sp.ndarray))
self.assertTrue(isinstance(Loaded, info_header.InfoArray))
self.assertTrue(sp.allclose(Loaded, self.Mat))
self.assertEqual(Loaded.info['a'], self.Mat.info['a'])
self.assertEqual(Loaded.info['b'], self.Mat.info['b'])
self.assertAlmostEqual(Loaded.info['c'], self.Mat.info['c'])
def run_weight_ranges_simulation():
n = 100
w_ranges = [0.0, 0.2, 0.4, 0.6, 0.8, 1]
alpha = 0.01
for type in [
SimulationType.ADALINE_OR,
SimulationType.PERCEPTRON_BIPOLAR_OR,
SimulationType.PERCEPTRON_BINARY_OR,
]:
result = run_many(params=w_ranges,
n=n,
simulation=weight_ranges_simulation,
**type,
alpha=alpha,
w_ranges=w_ranges,
max_err=2.0)
save(f"file_io/data/_{result['file_name']}", result)
def run_alphas_simulation():
n = 100
alphas = [0.0005, 0.001, 0.002, 0.005, 0.01, 0.02, 0.05]
w_range = 0.2
for type in [
# SimulationType.ADALINE_AND,
# SimulationType.PERCEPTRON_BIPOLAR_AND,
# SimulationType.PERCEPTRON_BINARY_AND,
SimulationType.ADALINE_OR,
# SimulationType.PERCEPTRON_BIPOLAR_OR,
# SimulationType.PERCEPTRON_BINARY_OR,
]:
result = run_many(params=alphas,
n=n,
simulation=alphas_simulation,
**type,
alphas=alphas,
w_range=w_range,
max_err=2.5)
save(f"file_io/data/__{result['file_name']}", result)
def test_to_from_file(self):
"""Test that vects and mats can be written to and from file and have
all thier properties preserved."""
# For vectors.
file_io.save('temp.npy', self.vect)
new_vect = vector.vect_array(file_io.load('temp.npy'))
self.assertTrue(sp.allclose(self.vect, new_vect))
self.assertEqual(self.vect.axes, new_vect.axes)
# For matricies.
file_io.save('temp.npy', self.mat)
new_mat = matrix.mat_array(file_io.load('temp.npy'))
self.assertTrue(sp.allclose(self.mat, new_mat))
self.assertEqual(self.mat.axes, new_mat.axes)
# Messing with stuf should raise exceptions.
new_mat = file_io.load('temp.npy')
new_mat.info['cols'] = (0, 3)
self.assertRaises(ValueError, matrix.mat_array, new_mat)
# Clean up
os.remove('temp.npy')
os.remove('temp.npy.meta')
def test_runs_fid(self):
fid = open('temp.npy', 'w')
file_io.save(fid, self.Mat)
self.assertTrue('temp.npy' in os.listdir('./'))
self.assertTrue('temp.npy.meta' in os.listdir('./'))
def test_runs_filename(self):
file_io.save('temp.npy', self.Mat)
self.assertTrue('temp.npy' in os.listdir('./'))
self.assertTrue('temp.npy.meta' in os.listdir('./'))
def refresh_list(self):
self.lb_assignments.delete(0, tk.END)
fio.save('assignments', self.pending_assignments)
self.populate_list_pending()
def save_and_exit(self):
fio.save('assignments', self.pending_assignments)
fio.save('completed_assignments', self.past_assignments)
self.root.destroy()
def save_to_completed(self, new_item):
self.past_assignments.append(new_item)
fio.save('completed_assignments', self.past_assignments)
def save_data(self):
fio.save('assignments', self.reminders)
trash = 0
init = 0
asdf = 0
#test variables
chosenplayer = 'asdf'
saveplayer = 'qwer'
#load balance sheet
balance_sheet = file_io.load_balance('balance_sheet.csv')
#print(balance_sheet)
#load savefile
asdf = file_io.load(chosenplayer)
init = asdf[0]
building_list = asdf[1]
UIDlist = asdf[2]
money, pollution, trash = init
print(init)
print(asdf)
#print(building_list)
#print(UIDlist)
#save to savefile
file_io.save(saveplayer, [money, pollution, trash], building_list)
