You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
122 lines
3.5 KiB
Python
122 lines
3.5 KiB
Python
from typing import Tuple, Dict, Optional, TypeVar
|
|
import copy
|
|
|
|
import numpy
|
|
from numpy.typing import ArrayLike, NDArray
|
|
|
|
from .repetition import Repetition
|
|
from .utils import rotation_matrix_2d, layer_t, AutoSlots, annotations_t
|
|
from .traits import PositionableImpl, LayerableImpl, Copyable, Pivotable, LockableImpl, RepeatableImpl
|
|
from .traits import AnnotatableImpl
|
|
|
|
|
|
L = TypeVar('L', bound='Label')
|
|
|
|
|
|
class Label(PositionableImpl, LayerableImpl, LockableImpl, RepeatableImpl, AnnotatableImpl,
|
|
Pivotable, Copyable, metaclass=AutoSlots):
|
|
"""
|
|
A text annotation with a position and layer (but no size; it is not drawn)
|
|
"""
|
|
__slots__ = ( '_string', 'identifier')
|
|
|
|
_string: str
|
|
""" Label string """
|
|
|
|
identifier: Tuple
|
|
""" Arbitrary identifier tuple, useful for keeping track of history when flattening """
|
|
|
|
'''
|
|
---- Properties
|
|
'''
|
|
# string property
|
|
@property
|
|
def string(self) -> str:
|
|
"""
|
|
Label string (str)
|
|
"""
|
|
return self._string
|
|
|
|
@string.setter
|
|
def string(self, val: str) -> None:
|
|
self._string = val
|
|
|
|
def __init__(
|
|
self,
|
|
string: str,
|
|
*,
|
|
offset: ArrayLike = (0.0, 0.0),
|
|
layer: layer_t = 0,
|
|
repetition: Optional[Repetition] = None,
|
|
annotations: Optional[annotations_t] = None,
|
|
locked: bool = False,
|
|
identifier: Tuple = (),
|
|
) -> None:
|
|
LockableImpl.unlock(self)
|
|
self.identifier = identifier
|
|
self.string = string
|
|
self.offset = numpy.array(offset, dtype=float, copy=True)
|
|
self.layer = layer
|
|
self.repetition = repetition
|
|
self.annotations = annotations if annotations is not None else {}
|
|
self.set_locked(locked)
|
|
|
|
def __copy__(self: L) -> L:
|
|
return type(self)(string=self.string,
|
|
offset=self.offset.copy(),
|
|
layer=self.layer,
|
|
repetition=self.repetition,
|
|
locked=self.locked,
|
|
identifier=self.identifier)
|
|
|
|
def __deepcopy__(self: L, memo: Dict = None) -> L:
|
|
memo = {} if memo is None else memo
|
|
new = copy.copy(self).unlock()
|
|
new._offset = self._offset.copy()
|
|
new.set_locked(self.locked)
|
|
return new
|
|
|
|
def rotate_around(self: L, pivot: ArrayLike, rotation: float) -> L:
|
|
"""
|
|
Rotate the label around a point.
|
|
|
|
Args:
|
|
pivot: Point (x, y) to rotate around
|
|
rotation: Angle to rotate by (counterclockwise, radians)
|
|
|
|
Returns:
|
|
self
|
|
"""
|
|
pivot = numpy.array(pivot, dtype=float)
|
|
self.translate(-pivot)
|
|
self.offset = numpy.dot(rotation_matrix_2d(rotation), self.offset)
|
|
self.translate(+pivot)
|
|
return self
|
|
|
|
def get_bounds(self) -> NDArray[numpy.float64]:
|
|
"""
|
|
Return the bounds of the label.
|
|
|
|
Labels are assumed to take up 0 area, i.e.
|
|
bounds = [self.offset,
|
|
self.offset]
|
|
|
|
Returns:
|
|
Bounds [[xmin, xmax], [ymin, ymax]]
|
|
"""
|
|
return numpy.array([self.offset, self.offset])
|
|
|
|
def lock(self: L) -> L:
|
|
PositionableImpl._lock(self)
|
|
LockableImpl.lock(self)
|
|
return self
|
|
|
|
def unlock(self: L) -> L:
|
|
LockableImpl.unlock(self)
|
|
PositionableImpl._unlock(self)
|
|
return self
|
|
|
|
def __repr__(self) -> str:
|
|
locked = ' L' if self.locked else ''
|
|
return f'<Label "{self.string}" l{self.layer} o{self.offset}{locked}>'
|