return fmod(theta, 2 * pi) / (2 * pi)
@staticmethod
+ def calc_rotate_translate_transform(src_x, src_y, dest_x, dest_y, theta):
+ """Calculate the transformation matrix resulting from a rotation and
+ a translation.
+
+ Return the matrix as a list of values sorted in row-major order."""
+
+ # A rotate-translate transformation is composed by these steps:
+ #
+ # 1. rotate by 'theta' around (src_x, src_y);
+ # 2. move to (dest_x, dest_y).
+ #
+ # Step 1 can be expressed by these sub-steps:
+ #
+ # 1a. translate by (-src_x, -src_y)
+ # 1b. rotate by 'theta'
+ # 1c. translate by (src_x, src_y)
+ #
+ # Step 2. can be expressed by a translation like:
+ #
+ # 2a. translate by (dest_x - src_x, dest_y - src_y)
+ #
+ # The consecutive translations 1c and 2a can be easily combined, so
+ # the final steps are:
+ #
+ # T1 -> translate by (-src_x, -src_y)
+ # R -> rotate by 'theta'
+ # T2 -> translate by (dest_x, dest_y)
+ #
+ # Using affine transformations these are expressed as:
+ #
+ # | 1 0 -src_x |
+ # T1 = | 0 1 -src_y |
+ # | 0 0 1 |
+ #
+ # | cos(theta) -sin(theta) 0 |
+ # R = | sin(theta) con(theta) 0 |
+ # | 0 0 1 |
+ #
+ # | 1 0 dest_x |
+ # T2 = | 0 1 dest_y |
+ # | 0 0 1 |
+ #
+ # Composing these transformations into one is achieved by multiplying
+ # the matrices from right to left:
+ #
+ # T = T2 * R * T1
+ #
+ # NOTE: To remember this think about composing functions: T2(R(T1())),
+ # the inner one is performed first.
+ #
+ # The resulting T matrix is the one below.
+ matrix = [
+ cos(theta), -sin(theta), -src_x * cos(theta) + src_y * sin(theta) + dest_x,
+ sin(theta), cos(theta), -src_x * sin(theta) - src_y * cos(theta) + dest_y,
+ 0, 0, 1
+ ]
+
+ return matrix
+
+ @staticmethod
def get_regular_polygon(x, y, sides, r, theta0=0.0):
"""Calc the coordinates of the regular polygon.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
-from math import sin, cos, pi
+from math import cos, pi
from .trihexaflexagon import TriHexaflexagon
dest_x, dest_y = self.get_triangle_center_in_plan(triangle)
theta = triangle.get_angle_in_plan_relative_to_hexagon()
- # The transformation from a triangle in the hexagon to the correspondent
- # triangle in the plan is composed by these steps:
- #
- # 1. rotate by 'theta' around (src_x, src_y);
- # 2. move to (dest_x, dest_y).
- #
- # Step 1 can be expressed by these sub-steps:
- #
- # 1a. translate by (-src_x, -src_y)
- # 1b. rotate by 'theta'
- # 1c. translate by (src_x, src_y)
- #
- # Step 2. can be expressed by a translation like:
- #
- # 2a. translate by (dest_x - src_x, dest_y - src_y)
- #
- # The consecutive translations 1c and 2a can be easily combined, so
- # the final steps are:
- #
- # T1 -> translate by (-src_x, -src_y)
- # R -> rotate by 'theta'
- # T2 -> translate by (dest_x, dest_y)
- #
- # Using affine transformations these are expressed as:
- #
- # | 1 0 -src_x |
- # T1 = | 0 1 -src_y |
- # | 0 0 1 |
- #
- # | cos(theta) -sin(theta) 0 |
- # R = | sin(theta) con(theta) 0 |
- # | 0 0 1 |
- #
- # | 1 0 dest_x |
- # T2 = | 0 1 dest_y |
- # | 0 0 1 |
- #
- # Composing these transformations into one is achieved by multiplying
- # the matrices from right to left:
- #
- # T = T2 * R * T1
- #
- # NOTE: To remember this think about composing functions: T2(R(T1())),
- # the inner one is performed first.
- #
- # The resulting T matrix is the one below.
- matrix = [
- cos(theta), -sin(theta), -src_x * cos(theta) + src_y * sin(theta) + dest_x,
- sin(theta), cos(theta), -src_x * sin(theta) - src_y * cos(theta) + dest_y,
- 0, 0, 1
- ]
-
- return matrix
+ return self.backend.calc_rotate_translate_transform(src_x, src_y,
+ dest_x, dest_y, theta)
def draw_hexagon_template(self, hexagon):
for triangle in hexagon.triangles:
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
-from math import sin, cos
from .tritetraflexagon import TriTetraflexagon
i, j = self.tetraflexagon.get_tile_plan_position(tile)
theta = tile.calc_angle_in_plan(i, j)
- # The transformation from a tile in the square to the correspondent
- # tile in the plan is composed by these steps:
- #
- # 1. rotate by 'theta' around (src_x, src_y);
- # 2. move to (dest_x, dest_y).
- #
- # Step 1 can be expressed by these sub-steps:
- #
- # 1a. translate by (-src_x, -src_y)
- # 1b. rotate by 'theta'
- # 1c. translate by (src_x, src_y)
- #
- # Step 2. can be expressed by a translation like:
- #
- # 2a. translate by (dest_x - src_x, dest_y - src_y)
- #
- # The consecutive translations 1c and 2a can be easily combined, so
- # the final steps are:
- #
- # T1 -> translate by (-src_x, -src_y)
- # R -> rotate by 'theta'
- # T2 -> translate by (dest_x, dest_y)
- #
- # Using affine transformations these are expressed as:
- #
- # | 1 0 -src_x |
- # T1 = | 0 1 -src_y |
- # | 0 0 1 |
- #
- # | cos(theta) -sin(theta) 0 |
- # R = | sin(theta) con(theta) 0 |
- # | 0 0 1 |
- #
- # | 1 0 dest_x |
- # T2 = | 0 1 dest_y |
- # | 0 0 1 |
- #
- # Composing these transformations into one is achieved by multiplying
- # the matrices from right to left:
- #
- # T = T2 * R * T1
- #
- # NOTE: To remember this think about composing functions: T2(R(T1())),
- # the inner one is performed first.
- #
- # The resulting T matrix is the one below.
- matrix = [
- cos(theta), -sin(theta), -src_x * cos(theta) + src_y * sin(theta) + dest_x,
- sin(theta), cos(theta), -src_x * sin(theta) - src_y * cos(theta) + dest_y,
- 0, 0, 1
- ]
-
- return matrix
+ return self.backend.calc_rotate_translate_transform(src_x, src_y,
+ dest_x, dest_y, theta)
def draw_square_template(self, square):
for tile in square.tiles: