refactor: excel parse
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Blizzard
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# Copyright (c) 2021-2024 Manfred Moitzi
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# License: MIT License
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# pylint: disable=unused-variable
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from __future__ import annotations
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from typing import (
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Iterator,
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Sequence,
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Optional,
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Generic,
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TypeVar,
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)
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import math
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# The pure Python implementation can't import from ._ctypes or ezdxf.math!
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from ._vector import Vec3, Vec2
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from ._matrix44 import Matrix44
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__all__ = ["Bezier3P"]
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def check_if_in_valid_range(t: float) -> None:
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if not 0.0 <= t <= 1.0:
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raise ValueError("t not in range [0 to 1]")
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T = TypeVar("T", Vec2, Vec3)
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class Bezier3P(Generic[T]):
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"""Implements an optimized quadratic `Bézier curve`_ for exact 3 control
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points.
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The class supports points of type :class:`Vec2` and :class:`Vec3` as input, the
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class instances are immutable.
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Args:
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defpoints: sequence of definition points as :class:`Vec2` or
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:class:`Vec3` compatible objects.
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"""
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__slots__ = ("_control_points", "_offset")
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def __init__(self, defpoints: Sequence[T]):
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if len(defpoints) != 3:
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raise ValueError("Three control points required.")
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point_type = defpoints[0].__class__
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if not point_type.__name__ in ("Vec2", "Vec3"): # Cython types!!!
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raise TypeError(f"invalid point type: {point_type.__name__}")
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# The start point is the curve offset
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offset: T = defpoints[0]
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self._offset: T = offset
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# moving the curve to the origin reduces floating point errors:
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self._control_points: tuple[T, ...] = tuple(p - offset for p in defpoints)
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@property
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def control_points(self) -> Sequence[T]:
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"""Control points as tuple of :class:`Vec3` or :class:`Vec2` objects."""
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# ezdxf optimization: p0 is always (0, 0, 0)
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_, p1, p2 = self._control_points
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offset = self._offset
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return offset, p1 + offset, p2 + offset
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def tangent(self, t: float) -> T:
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"""Returns direction vector of tangent for location `t` at the
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Bèzier-curve.
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Args:
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t: curve position in the range ``[0, 1]``
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"""
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check_if_in_valid_range(t)
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return self._get_curve_tangent(t)
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def point(self, t: float) -> T:
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"""Returns point for location `t` at the Bèzier-curve.
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Args:
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t: curve position in the range ``[0, 1]``
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"""
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check_if_in_valid_range(t)
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return self._get_curve_point(t)
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def approximate(self, segments: int) -> Iterator[T]:
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"""Approximate `Bézier curve`_ by vertices, yields `segments` + 1
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vertices as ``(x, y[, z])`` tuples.
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Args:
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segments: count of segments for approximation
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"""
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if segments < 1:
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raise ValueError(segments)
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delta_t: float = 1.0 / segments
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cp = self.control_points
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yield cp[0]
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for segment in range(1, segments):
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yield self._get_curve_point(delta_t * segment)
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yield cp[2]
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def approximated_length(self, segments: int = 128) -> float:
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"""Returns estimated length of Bèzier-curve as approximation by line
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`segments`.
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"""
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length: float = 0.0
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prev_point: Optional[T] = None
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for point in self.approximate(segments):
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if prev_point is not None:
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length += prev_point.distance(point)
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prev_point = point
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return length
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def flattening(self, distance: float, segments: int = 4) -> Iterator[T]:
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"""Adaptive recursive flattening. The argument `segments` is the
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minimum count of approximation segments, if the distance from the center
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of the approximation segment to the curve is bigger than `distance` the
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segment will be subdivided.
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Args:
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distance: maximum distance from the center of the quadratic (C2)
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curve to the center of the linear (C1) curve between two
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approximation points to determine if a segment should be
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subdivided.
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segments: minimum segment count
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"""
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stack: list[tuple[float, T]] = []
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dt: float = 1.0 / segments
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t0: float = 0.0
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t1: float
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cp = self.control_points
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start_point: T = cp[0]
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end_point: T
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yield start_point
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while t0 < 1.0:
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t1 = t0 + dt
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if math.isclose(t1, 1.0):
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end_point = cp[2]
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t1 = 1.0
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else:
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end_point = self._get_curve_point(t1)
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while True:
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mid_t: float = (t0 + t1) * 0.5
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mid_point: T = self._get_curve_point(mid_t)
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chk_point: T = start_point.lerp(end_point)
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d = chk_point.distance(mid_point)
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if d < distance:
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yield end_point
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t0 = t1
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start_point = end_point
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if stack:
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t1, end_point = stack.pop()
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else:
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break
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else:
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stack.append((t1, end_point))
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t1 = mid_t
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end_point = mid_point
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def _get_curve_point(self, t: float) -> T:
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# 1st control point (p0) is always (0, 0, 0)
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# => p0 * a is always (0, 0, 0)
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_, p1, p2 = self._control_points
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_1_minus_t = 1.0 - t
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# a = (1 - t) ** 2
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b = 2.0 * t * _1_minus_t
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c = t * t
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# add offset at last - it is maybe very large
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return p1 * b + p2 * c + self._offset
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def _get_curve_tangent(self, t: float) -> T:
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# tangent vector is independent from offset location!
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# 1st control point (p0) is always (0, 0, 0)
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# => p0 * a is always (0, 0, 0)
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_, p1, p2 = self._control_points
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# a = -2 * (1 - t)
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b = 2.0 - 4.0 * t
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c = 2.0 * t
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return p1 * b + p2 * c
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def reverse(self) -> Bezier3P[T]:
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"""Returns a new Bèzier-curve with reversed control point order."""
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return Bezier3P(list(reversed(self.control_points)))
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def transform(self, m: Matrix44) -> Bezier3P[Vec3]:
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"""General transformation interface, returns a new :class:`Bezier3P`
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curve and it is always a 3D curve.
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Args:
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m: 4x4 transformation :class:`Matrix44`
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"""
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defpoints = Vec3.generate(self.control_points)
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return Bezier3P(tuple(m.transform_vertices(defpoints)))
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