type-related fixes and improvements
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4308bdeb56
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@ -70,7 +70,7 @@ def write(pattern: Pattern,
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"""
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#TODO consider supporting DXF arcs?
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if disambiguate_func is None:
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disambiguate_func = disambiguate_pattern_names
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disambiguate_func = lambda pats: disambiguate_pattern_names(pats)
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assert(disambiguate_func is not None)
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if not modify_originals:
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@ -349,7 +349,7 @@ def _mlayer2dxf(layer: layer_t) -> str:
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raise PatternError(f'Unknown layer type: {layer} ({type(layer)})')
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def disambiguate_pattern_names(patterns: Sequence[Pattern],
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def disambiguate_pattern_names(patterns: Iterable[Pattern],
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max_name_length: int = 32,
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suffix_length: int = 6,
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dup_warn_filter: Callable[[str], bool] = None, # If returns False, don't warn about this name
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@ -674,7 +674,7 @@ def annotations_to_properties(annotations: annotations_t) -> List[fatrec.Propert
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for key, values in annotations.items():
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vals = [AString(v) if isinstance(v, str) else v
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for v in values]
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properties.append(fatrec.Property(key, vals, is_standard=False))
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properties.append(fatrec.Property(key, vals, is_standard=False)) # type: ignore
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return properties
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@ -58,11 +58,11 @@ class Label(PositionableImpl, LayerableImpl, LockableImpl, RepeatableImpl, Annot
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self.set_locked(locked)
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def __copy__(self: L) -> L:
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return Label(string=self.string,
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offset=self.offset.copy(),
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layer=self.layer,
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repetition=self.repetition,
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locked=self.locked)
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return type(self)(string=self.string,
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offset=self.offset.copy(),
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layer=self.layer,
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repetition=self.repetition,
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locked=self.locked)
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def __deepcopy__(self: L, memo: Dict = None) -> L:
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memo = {} if memo is None else memo
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@ -2,7 +2,7 @@
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Base object representing a lithography mask.
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"""
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from typing import List, Callable, Tuple, Dict, Union, Set, Sequence, Optional, Type, overload
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from typing import List, Callable, Tuple, Dict, Union, Set, Sequence, Optional, Type, overload, cast
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from typing import MutableMapping, Iterable, TypeVar, Any
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import copy
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import pickle
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@ -18,7 +18,8 @@ from .shapes import Shape, Polygon
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from .label import Label
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from .utils import rotation_matrix_2d, vector2, normalize_mirror, AutoSlots, annotations_t
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from .error import PatternError, PatternLockedError
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from .traits import LockableImpl, AnnotatableImpl, Scalable
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from .traits import LockableImpl, AnnotatableImpl, Scalable, Mirrorable
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from .traits import Rotatable, Positionable
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visitor_function_t = Callable[['Pattern', Tuple['Pattern'], Dict, numpy.ndarray], 'Pattern']
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@ -27,7 +28,7 @@ visitor_function_t = Callable[['Pattern', Tuple['Pattern'], Dict, numpy.ndarray]
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P = TypeVar('P', bound='Pattern')
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class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
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class Pattern(LockableImpl, AnnotatableImpl, Mirrorable, metaclass=AutoSlots):
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"""
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2D layout consisting of some set of shapes, labels, and references to other Pattern objects
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(via SubPattern). Shapes are assumed to inherit from masque.shapes.Shape or provide equivalent functions.
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@ -710,7 +711,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
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self
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"""
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for entry in chain(self.shapes, self.subpatterns):
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entry.rotate(rotation)
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cast(Rotatable, entry).rotate(rotation)
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return self
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def mirror_element_centers(self: P, axis: int) -> P:
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@ -741,7 +742,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
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self
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"""
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for entry in chain(self.shapes, self.subpatterns):
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entry.mirror(axis)
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cast(Mirrorable, entry).mirror(axis)
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return self
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def mirror(self: P, axis: int) -> P:
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@ -856,7 +857,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
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"""
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self.lock()
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for ss in chain(self.shapes, self.labels):
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ss.lock()
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ss.lock() # type: ignore # mypy struggles with multiple inheritance :(
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for sp in self.subpatterns:
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sp.deeplock()
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return self
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@ -873,7 +874,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
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"""
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self.unlock()
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for ss in chain(self.shapes, self.labels):
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ss.unlock()
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ss.unlock() # type: ignore # mypy struggles with multiple inheritance :(
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for sp in self.subpatterns:
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sp.deepunlock()
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return self
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@ -79,7 +79,7 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
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self.dose = dose
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self.scale = scale
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if mirrored is None:
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mirrored = [False, False]
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mirrored = (False, False)
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self.mirrored = mirrored
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self.repetition = repetition
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self.annotations = annotations if annotations is not None else {}
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