def matter(cls, m: Matter) -> Matter:
assert m.n_color() <= 2
if m.is_mesh:
return m
elif m.n_color() == 0:
return m
elif m.n_color() == 1:
color_count = m.color_count()
for c in range(10):
if color_count[c] > 0 and c != m.background_color:
base_color = c
new_matter: Matter = m.copy()
new_values = m.background_color * np.ones(m.shape, dtype=np.int)
new_values[m.values == m.background_color] = base_color
new_matter.set_values(new_values)
return new_matter
else: # m.n_color() == 2
color_count = m.color_count()
switch = []
for c in range(10):
if color_count[c] > 0 and c != m.background_color:
switch.append(c)
new_matter: Matter = m.copy()
new_values = m.background_color * np.ones(m.shape, dtype=np.int)
new_values[m.values == switch[0]] = switch[1]
new_values[m.values == switch[1]] = switch[0]
new_matter.set_values(new_values)
return new_matter
def point_cross_cnt_mat(m: Matter, y_arr: np.array) -> Tuple[np.array, int]:
assert m.n_color() == 1
color_cnt = m.color_count()
color_cnt[m.background_color] = 0
m_color = [c for c in range(10) if color_cnt[c] > 0][0]
x_arr = np.zeros(y_arr.shape, dtype=np.int)
try:
x_arr[m.x0:m.x0 + m.shape[0], m.y0:m.y0 + m.shape[1]] = m.values
except:
print(x_arr, y_arr, m.x0, m.x0 + m.shape[0], m.y0, m.y0 + m.shape[1])
raise
return point_cross_cnt_arr(x_arr, y_arr, m_color), m_color
def point_cross_fit_mat(m: Matter, n_row, n_col, op_arr: np.array) -> Matter:
assert m.n_color() == 1
color_cnt = m.color_count()
color_cnt[m.background_color] = 0
m_color = [c for c in range(10) if color_cnt[c] > 0][0]
x_arr = np.zeros((n_row, n_col), dtype=np.int)
x_arr[m.x0:m.x0 + m.shape[0], m.y0:m.y0 + m.shape[1]] = m.values
res_arr = point_cross_fit_arr(x_arr, m_color, op_arr[m_color])
new_values = np.zeros(x_arr.shape, dtype=int)
new_values[res_arr == 1] = m_color
new_values[res_arr == 0] = m.background_color
new_matter = m.copy()
new_matter.set_values(new_values)
new_matter.x0 = 0
new_matter.y0 = 0
return new_matter