def compare_faster2():
variables = collections.OrderedDict()
variables['alpha'] = dict(min=-180,
max=180,
description="angle",
resolution=5,
units='deg',
units_display='deg')
variables['r'] = dict(min=3,
max=5,
description="distance",
resolution=0.2,
units='m',
units_display='cm')
# this will fail if precision is float32
gh = GridHelper(variables, precision='float64')
val_fast = gh.create_new()
val_fast.fill(0)
val_slow = gh.create_new()
val_slow.fill(0)
od = dtu.get_output_dir_for_test()
F = 1
alpha0 = 177
# r0 = 4
r0 = 4.1
w0 = 1
value = dict(alpha=alpha0, r=r0)
gh.add_vote(val_slow, value, w0, F)
values = np.zeros((2, 1))
values[0, 0] = alpha0
values[1, 0] = r0
weights = np.zeros(1)
weights[0] = w0
gh.add_vote_faster(val_fast, values, weights, F)
print('sum slow: %s' % np.sum(val_slow))
print('sum fast: %s' % np.sum(val_fast))
d = grid_helper_plot(gh, val_slow)
fn = os.path.join(od, 'compare_faster_slow.jpg')
dtu.write_data_to_file(d.get_png(), fn)
d = grid_helper_plot(gh, val_fast)
fn = os.path.join(od, 'compare_faster_fast.jpg')
dtu.write_data_to_file(d.get_png(), fn)
f = lambda x: ' %5f' % x if x else ' '
print(dtu.indent(array_as_string(val_fast, f), 'val_fast '))
print(dtu.indent(array_as_string(val_slow, f), 'val_slow '))
assert_almost_equal(val_fast, val_slow)
def compare_faster2():
variables = {}
variables["alpha"] = dict(min=-180,
max=180,
description="angle",
resolution=5,
units="deg",
units_display="deg")
variables["r"] = dict(min=3,
max=5,
description="distance",
resolution=0.2,
units="m",
units_display="cm")
# this will fail if precision is float32
gh = GridHelper(variables, precision="float64")
val_fast = gh.create_new()
val_fast.fill(0)
val_slow = gh.create_new()
val_slow.fill(0)
od = dtu.get_output_dir_for_test()
F = 1
alpha0 = 177
# r0 = 4
r0 = 4.1
w0 = 1
value = dict(alpha=alpha0, r=r0)
gh.add_vote(val_slow, value, w0, F)
values = np.zeros((2, 1))
values[0, 0] = alpha0
values[1, 0] = r0
weights = np.zeros(1)
weights[0] = w0
gh.add_vote_faster(val_fast, values, weights, F)
print(f"sum slow: {np.sum(val_slow)}")
print(f"sum fast: {np.sum(val_fast)}")
d = grid_helper_plot(gh, val_slow)
fn = os.path.join(od, "compare_faster_slow.jpg")
dtu.write_data_to_file(d.get_png(), fn)
d = grid_helper_plot(gh, val_fast)
fn = os.path.join(od, "compare_faster_fast.jpg")
dtu.write_data_to_file(d.get_png(), fn)
f = lambda x: f" {x:5f}" if x else " "
print((dtu.indent(array_as_string(val_fast, f), "val_fast ")))
print((dtu.indent(array_as_string(val_slow, f), "val_slow ")))
assert_almost_equal(val_fast, val_slow)
def grid_visualization():
variables = {}
variables["alpha"] = dict(
min=-np.pi / 2,
max=np.pi / 2,
description="angle",
resolution=np.deg2rad(10),
units="rad",
units_display="deg",
)
variables["r"] = dict(min=3, max=5, description="distance", resolution=0.1, units="m", units_display="cm")
gh = GridHelper(variables)
val = gh.create_new()
val.fill(0)
val += np.random.randn(*val.shape)
val[1, 2] = 0
d = grid_helper_plot(gh, val)
od = dtu.get_output_dir_for_test()
fn = os.path.join(od, "grid_visualization.jpg")
dtu.write_data_to_file(d.get_png(), fn)
def grid_visualization():
variables = collections.OrderedDict()
variables['alpha'] = dict(min=-np.pi / 2,
max=np.pi / 2,
description="angle",
resolution=np.deg2rad(10),
units='rad',
units_display='deg')
variables['r'] = dict(min=3,
max=5,
description="distance",
resolution=0.1,
units='m',
units_display='cm')
gh = GridHelper(variables)
val = gh.create_new()
val.fill(0)
val += np.random.randn(*val.shape)
val[1, 2] = 0
d = grid_helper_plot(gh, val)
od = dtu.get_output_dir_for_test()
fn = os.path.join(od, 'grid_visualization.jpg')
dtu.write_data_to_file(d.get_png(), fn)
def compare_faster():
variables = collections.OrderedDict()
variables['alpha'] = dict(min=-180,
max=180,
description="angle",
resolution=5,
units='deg',
units_display='deg')
variables['r'] = dict(min=3,
max=5,
description="distance",
resolution=0.1,
units='m',
units_display='cm')
# this will fail if precision is float32
gh = GridHelper(variables, precision='float64')
val_fast = gh.create_new()
val_fast.fill(0)
val_slow = gh.create_new()
val_slow.fill(0)
od = dtu.get_output_dir_for_test()
F = 1
alpha0 = 7
# r0 = 4
r0 = 4.1
w0 = 1.
value = dict(alpha=alpha0, r=r0)
gh.add_vote(val_slow, value, w0, F)
assert_equal(np.sum(val_slow > 0), 9)
values = np.zeros((2, 1))
values[0, 0] = alpha0
values[1, 0] = r0
weights = np.zeros(1)
weights[0] = w0
gh.add_vote_faster(val_fast, values, weights, F)
assert_equal(np.sum(val_fast > 0), 9)
d = grid_helper_plot(gh, val_slow)
fn = os.path.join(od, 'compare_faster_slow.jpg')
dtu.write_data_to_file(d.get_png(), fn)
d = grid_helper_plot(gh, val_fast)
fn = os.path.join(od, 'compare_faster_fast.jpg')
dtu.write_data_to_file(d.get_png(), fn)
D = val_fast - val_slow
diff = np.max(np.abs(D))
print('diff: %r' % diff)
if diff > 1e-8:
print(dtu.indent(array_as_string_sign(val_fast), 'val_fast '))
print(dtu.indent(array_as_string_sign(val_slow), 'val_slow '))
print(dtu.indent(array_as_string_sign(D), 'Diff '))
print('non zero val_fast: %s' % val_fast[val_fast > 0])
print('non zero val_slow: %s' % val_slow[val_slow > 0])
assert_almost_equal(val_fast, val_slow)
def compare_faster():
variables = {}
variables["alpha"] = dict(min=-180,
max=180,
description="angle",
resolution=5,
units="deg",
units_display="deg")
variables["r"] = dict(min=3,
max=5,
description="distance",
resolution=0.1,
units="m",
units_display="cm")
# this will fail if precision is float32
gh = GridHelper(variables, precision="float64")
val_fast = gh.create_new()
val_fast.fill(0)
val_slow = gh.create_new()
val_slow.fill(0)
od = dtu.get_output_dir_for_test()
F = 1
alpha0 = 7
# r0 = 4
r0 = 4.1
w0 = 1.0
value = dict(alpha=alpha0, r=r0)
gh.add_vote(val_slow, value, w0, F)
assert_equal(np.sum(val_slow > 0), 9)
values = np.zeros((2, 1))
values[0, 0] = alpha0
values[1, 0] = r0
weights = np.zeros(1)
weights[0] = w0
gh.add_vote_faster(val_fast, values, weights, F)
assert_equal(np.sum(val_fast > 0), 9)
d = grid_helper_plot(gh, val_slow)
fn = os.path.join(od, "compare_faster_slow.jpg")
dtu.write_data_to_file(d.get_png(), fn)
d = grid_helper_plot(gh, val_fast)
fn = os.path.join(od, "compare_faster_fast.jpg")
dtu.write_data_to_file(d.get_png(), fn)
D = val_fast - val_slow
diff = np.max(np.abs(D))
print(f"diff: {diff!r}")
if diff > 1e-8:
print(dtu.indent(array_as_string_sign(val_fast), "val_fast "))
print(dtu.indent(array_as_string_sign(val_slow), "val_slow "))
print(dtu.indent(array_as_string_sign(D), "Diff "))
print(f"non zero val_fast: {val_fast[val_fast > 0]}")
print(f"non zero val_slow: {val_slow[val_slow > 0]}")
assert_almost_equal(val_fast, val_slow)