masque/masque/subpattern.py

243 lines
8.3 KiB
Python

"""
SubPattern provides basic support for nesting Pattern objects within each other, by adding
offset, rotation, scaling, and other such properties to the reference.
"""
#TODO more top-level documentation
from typing import Dict, Tuple, Optional, Sequence, TYPE_CHECKING, Any, TypeVar
import copy
import numpy
from numpy import pi
from numpy.typing import NDArray, ArrayLike
from .error import PatternError
from .utils import is_scalar, AutoSlots, annotations_t
from .repetition import Repetition
from .traits import (PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl,
Mirrorable, PivotableImpl, Copyable, LockableImpl, RepeatableImpl,
AnnotatableImpl)
if TYPE_CHECKING:
from . import Pattern
S = TypeVar('S', bound='SubPattern')
class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mirrorable,
PivotableImpl, Copyable, RepeatableImpl, LockableImpl, AnnotatableImpl,
metaclass=AutoSlots):
"""
SubPattern provides basic support for nesting Pattern objects within each other, by adding
offset, rotation, scaling, and associated methods.
"""
__slots__ = ('_pattern',
'_mirrored',
'identifier',
)
_pattern: Optional['Pattern']
""" The `Pattern` being instanced """
_mirrored: NDArray[numpy.bool_]
""" Whether to mirror the instance across the x and/or y axes. """
identifier: Tuple[Any, ...]
""" Arbitrary identifier, used internally by some `masque` functions. """
def __init__(
self,
pattern: Optional['Pattern'],
*,
offset: ArrayLike = (0.0, 0.0),
rotation: float = 0.0,
mirrored: Optional[Sequence[bool]] = None,
dose: float = 1.0,
scale: float = 1.0,
repetition: Optional[Repetition] = None,
annotations: Optional[annotations_t] = None,
locked: bool = False,
identifier: Tuple[Any, ...] = (),
) -> None:
"""
Args:
pattern: Pattern to reference.
offset: (x, y) offset applied to the referenced pattern. Not affected by rotation etc.
rotation: Rotation (radians, counterclockwise) relative to the referenced pattern's (0, 0).
mirrored: Whether to mirror the referenced pattern across its x and y axes.
dose: Scaling factor applied to the dose.
scale: Scaling factor applied to the pattern's geometry.
repetition: TODO
locked: Whether the `SubPattern` is locked after initialization.
identifier: Arbitrary tuple, used internally by some `masque` functions.
"""
LockableImpl.unlock(self)
self.identifier = identifier
self.pattern = pattern
self.offset = offset
self.rotation = rotation
self.dose = dose
self.scale = scale
if mirrored is None:
mirrored = (False, False)
self.mirrored = mirrored
self.repetition = repetition
self.annotations = annotations if annotations is not None else {}
self.set_locked(locked)
def __copy__(self) -> 'SubPattern':
new = SubPattern(pattern=self.pattern,
offset=self.offset.copy(),
rotation=self.rotation,
dose=self.dose,
scale=self.scale,
mirrored=self.mirrored.copy(),
repetition=copy.deepcopy(self.repetition),
annotations=copy.deepcopy(self.annotations),
locked=self.locked)
return new
def __deepcopy__(self, memo: Dict = None) -> 'SubPattern':
memo = {} if memo is None else memo
new = copy.copy(self).unlock()
new.pattern = copy.deepcopy(self.pattern, memo)
new.repetition = copy.deepcopy(self.repetition, memo)
new.annotations = copy.deepcopy(self.annotations, memo)
new.set_locked(self.locked)
return new
# pattern property
@property
def pattern(self) -> Optional['Pattern']:
return self._pattern
@pattern.setter
def pattern(self, val: Optional['Pattern']) -> None:
from .pattern import Pattern
if val is not None and not isinstance(val, Pattern):
raise PatternError(f'Provided pattern {val} is not a Pattern object or None!')
self._pattern = val
# Mirrored property
@property
def mirrored(self) -> Any: #TODO mypy#3004 NDArray[numpy.bool_]:
return self._mirrored
@mirrored.setter
def mirrored(self, val: ArrayLike) -> None:
if is_scalar(val):
raise PatternError('Mirrored must be a 2-element list of booleans')
self._mirrored = numpy.array(val, dtype=bool, copy=True)
def as_pattern(self) -> 'Pattern':
"""
Returns:
A copy of self.pattern which has been scaled, rotated, etc. according to this
`SubPattern`'s properties.
"""
assert(self.pattern is not None)
pattern = self.pattern.deepcopy().deepunlock()
pattern.scale_by(self.scale)
pattern.mirror2d(self.mirrored)
pattern.rotate_around((0.0, 0.0), self.rotation)
pattern.translate_elements(self.offset)
pattern.scale_element_doses(self.dose)
if self.repetition is not None:
combined = type(pattern)(name='__repetition__')
for dd in self.repetition.displacements:
temp_pat = pattern.deepcopy()
temp_pat.translate_elements(dd)
combined.append(temp_pat)
pattern = combined
return pattern
def rotate(self: S, rotation: float) -> S:
self.rotation += rotation
if self.repetition is not None:
self.repetition.rotate(rotation)
return self
def mirror(self: S, axis: int) -> S:
self.mirrored[axis] = not self.mirrored[axis]
self.rotation *= -1
if self.repetition is not None:
self.repetition.mirror(axis)
return self
def get_bounds(self) -> Optional[NDArray[numpy.float64]]:
"""
Return a `numpy.ndarray` containing `[[x_min, y_min], [x_max, y_max]]`, corresponding to the
extent of the `SubPattern` in each dimension.
Returns `None` if the contained `Pattern` is empty.
Returns:
`[[x_min, y_min], [x_max, y_max]]` or `None`
"""
if self.pattern is None:
return None
return self.as_pattern().get_bounds()
def lock(self: S) -> S:
"""
Lock the SubPattern, disallowing changes
Returns:
self
"""
self.mirrored.flags.writeable = False
PositionableImpl._lock(self)
LockableImpl.lock(self)
return self
def unlock(self: S) -> S:
"""
Unlock the SubPattern
Returns:
self
"""
LockableImpl.unlock(self)
PositionableImpl._unlock(self)
self.mirrored.flags.writeable = True
return self
def deeplock(self: S) -> S:
"""
Recursively lock the SubPattern and its contained pattern
Returns:
self
"""
assert(self.pattern is not None)
self.lock()
self.pattern.deeplock()
return self
def deepunlock(self: S) -> S:
"""
Recursively unlock the SubPattern and its contained pattern
This is dangerous unless you have just performed a deepcopy, since
the subpattern and its components may be used in more than one once!
Returns:
self
"""
assert(self.pattern is not None)
self.unlock()
self.pattern.deepunlock()
return self
def __repr__(self) -> str:
name = self.pattern.name if self.pattern is not None else None
rotation = f' r{self.rotation*180/pi:g}' if self.rotation != 0 else ''
scale = f' d{self.scale:g}' if self.scale != 1 else ''
mirrored = ' m{:d}{:d}'.format(*self.mirrored) if self.mirrored.any() else ''
dose = f' d{self.dose:g}' if self.dose != 1 else ''
locked = ' L' if self.locked else ''
return f'<SubPattern "{name}" at {self.offset}{rotation}{scale}{mirrored}{dose}{locked}>'