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96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
from typing import Self
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import copy
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import numpy
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from numpy.typing import ArrayLike, NDArray
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from .repetition import Repetition
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from .utils import rotation_matrix_2d, annotations_t
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from .traits import PositionableImpl, Copyable, Pivotable, RepeatableImpl, Bounded
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from .traits import AnnotatableImpl
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class Label(PositionableImpl, RepeatableImpl, AnnotatableImpl, Bounded, Pivotable, Copyable):
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"""
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A text annotation with a position (but no size; it is not drawn)
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"""
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__slots__ = (
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'_string',
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# Inherited
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'_offset', '_repetition', '_annotations',
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)
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_string: str
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""" Label string """
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'''
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---- Properties
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'''
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# string property
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@property
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def string(self) -> str:
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"""
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Label string (str)
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"""
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return self._string
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@string.setter
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def string(self, val: str) -> None:
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self._string = val
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def __init__(
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self,
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string: str,
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*,
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offset: ArrayLike = (0.0, 0.0),
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repetition: Repetition | None = None,
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annotations: annotations_t | None = None,
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) -> None:
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self.string = string
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self.offset = numpy.array(offset, dtype=float, copy=True)
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self.repetition = repetition
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self.annotations = annotations if annotations is not None else {}
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def __copy__(self) -> Self:
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return type(self)(
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string=self.string,
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offset=self.offset.copy(),
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repetition=self.repetition,
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)
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def __deepcopy__(self, memo: dict | None = None) -> Self:
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memo = {} if memo is None else memo
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new = copy.copy(self)
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new._offset = self._offset.copy()
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return new
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def rotate_around(self, pivot: ArrayLike, rotation: float) -> Self:
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"""
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Rotate the label around a point.
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Args:
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pivot: Point (x, y) to rotate around
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rotation: Angle to rotate by (counterclockwise, radians)
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Returns:
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self
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"""
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pivot = numpy.array(pivot, dtype=float)
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self.translate(-pivot)
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self.offset = numpy.dot(rotation_matrix_2d(rotation), self.offset)
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self.translate(+pivot)
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return self
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def get_bounds_single(self) -> NDArray[numpy.float64]:
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"""
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Return the bounds of the label.
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Labels are assumed to take up 0 area, i.e.
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bounds = [self.offset,
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self.offset]
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Returns:
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Bounds [[xmin, xmax], [ymin, ymax]]
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"""
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return numpy.array([self.offset, self.offset])
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