get rid of "identifier"
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7ca017d993
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@ -18,14 +18,11 @@ class Label(PositionableImpl, LayerableImpl, RepeatableImpl, AnnotatableImpl,
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"""
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"""
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A text annotation with a position and layer (but no size; it is not drawn)
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A text annotation with a position and layer (but no size; it is not drawn)
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"""
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"""
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__slots__ = ( '_string', 'identifier')
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__slots__ = ( '_string', )
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_string: str
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_string: str
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""" Label string """
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""" Label string """
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identifier: Tuple
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""" Arbitrary identifier tuple, useful for keeping track of history when flattening """
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'''
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'''
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---- Properties
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---- Properties
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'''
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'''
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@ -49,9 +46,7 @@ class Label(PositionableImpl, LayerableImpl, RepeatableImpl, AnnotatableImpl,
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layer: layer_t = 0,
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layer: layer_t = 0,
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repetition: Optional[Repetition] = None,
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repetition: Optional[Repetition] = None,
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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identifier: Tuple = (),
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) -> None:
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) -> None:
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self.identifier = identifier
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self.string = string
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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.offset = numpy.array(offset, dtype=float, copy=True)
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self.layer = layer
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self.layer = layer
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@ -64,7 +59,6 @@ class Label(PositionableImpl, LayerableImpl, RepeatableImpl, AnnotatableImpl,
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offset=self.offset.copy(),
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offset=self.offset.copy(),
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layer=self.layer,
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layer=self.layer,
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repetition=self.repetition,
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repetition=self.repetition,
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identifier=self.identifier,
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)
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)
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def __deepcopy__(self: L, memo: Optional[Dict] = None) -> L:
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def __deepcopy__(self: L, memo: Optional[Dict] = None) -> L:
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@ -167,7 +167,6 @@ class Arc(Shape, metaclass=AutoSlots):
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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raw: bool = False,
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raw: bool = False,
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) -> None:
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) -> None:
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self.identifier = ()
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if raw:
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if raw:
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assert(isinstance(radii, numpy.ndarray))
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assert(isinstance(radii, numpy.ndarray))
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assert(isinstance(angles, numpy.ndarray))
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assert(isinstance(angles, numpy.ndarray))
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@ -55,7 +55,6 @@ class Circle(Shape, metaclass=AutoSlots):
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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raw: bool = False,
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raw: bool = False,
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) -> None:
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) -> None:
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self.identifier = ()
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if raw:
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if raw:
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assert(isinstance(offset, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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self._radius = radius
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self._radius = radius
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@ -102,7 +102,6 @@ class Ellipse(Shape, metaclass=AutoSlots):
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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raw: bool = False,
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raw: bool = False,
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) -> None:
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) -> None:
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self.identifier = ()
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if raw:
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if raw:
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assert(isinstance(radii, numpy.ndarray))
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assert(isinstance(radii, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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@ -158,7 +158,6 @@ class Path(Shape, metaclass=AutoSlots):
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) -> None:
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) -> None:
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self._cap_extensions = None # Since .cap setter might access it
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self._cap_extensions = None # Since .cap setter might access it
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self.identifier = ()
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if raw:
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if raw:
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assert(isinstance(vertices, numpy.ndarray))
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assert(isinstance(vertices, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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@ -84,7 +84,6 @@ class Polygon(Shape, metaclass=AutoSlots):
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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raw: bool = False,
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raw: bool = False,
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) -> None:
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) -> None:
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self.identifier = ()
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if raw:
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if raw:
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assert(isinstance(vertices, numpy.ndarray))
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assert(isinstance(vertices, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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@ -34,9 +34,6 @@ class Shape(PositionableImpl, LayerableImpl, DoseableImpl, Rotatable, Mirrorable
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"""
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"""
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__slots__ = () # Children should use AutoSlots
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__slots__ = () # Children should use AutoSlots
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identifier: Tuple
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""" An arbitrary identifier for the shape, usually empty but used by `Pattern.flatten()` """
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def __copy__(self) -> 'Shape':
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def __copy__(self) -> 'Shape':
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cls = self.__class__
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cls = self.__class__
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new = cls.__new__(cls)
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new = cls.__new__(cls)
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@ -75,7 +75,6 @@ class Text(RotatableImpl, Shape, metaclass=AutoSlots):
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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raw: bool = False,
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raw: bool = False,
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) -> None:
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) -> None:
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self.identifier = ()
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if raw:
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if raw:
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assert(isinstance(offset, numpy.ndarray))
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assert(isinstance(offset, numpy.ndarray))
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assert(isinstance(mirrored, numpy.ndarray))
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assert(isinstance(mirrored, numpy.ndarray))
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@ -34,7 +34,7 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
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SubPattern provides basic support for nesting Pattern objects within each other, by adding
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SubPattern provides basic support for nesting Pattern objects within each other, by adding
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offset, rotation, scaling, and associated methods.
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offset, rotation, scaling, and associated methods.
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"""
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"""
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__slots__ = ('_target', '_mirrored', 'identifier')
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__slots__ = ('_target', '_mirrored')
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_target: Optional[str]
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_target: Optional[str]
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""" The name of the `Pattern` being instanced """
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""" The name of the `Pattern` being instanced """
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@ -42,9 +42,6 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
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_mirrored: NDArray[numpy.bool_]
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_mirrored: NDArray[numpy.bool_]
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""" Whether to mirror the instance across the x and/or y axes. """
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""" Whether to mirror the instance across the x and/or y axes. """
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identifier: Tuple[Any, ...]
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""" Arbitrary identifier, used internally by some `masque` functions. """
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def __init__(
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def __init__(
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self,
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self,
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target: Optional[str],
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target: Optional[str],
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@ -56,7 +53,6 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
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scale: float = 1.0,
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scale: float = 1.0,
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repetition: Optional[Repetition] = None,
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repetition: Optional[Repetition] = None,
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annotations: Optional[annotations_t] = None,
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annotations: Optional[annotations_t] = None,
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identifier: Tuple[Any, ...] = (),
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) -> None:
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) -> None:
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"""
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"""
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Args:
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Args:
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@ -67,9 +63,7 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
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dose: Scaling factor applied to the dose.
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dose: Scaling factor applied to the dose.
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scale: Scaling factor applied to the pattern's geometry.
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scale: Scaling factor applied to the pattern's geometry.
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repetition: `Repetition` object, default `None`
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repetition: `Repetition` object, default `None`
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identifier: Arbitrary tuple, used internally by some `masque` functions.
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"""
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"""
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self.identifier = identifier
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self.target = target
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self.target = target
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self.offset = offset
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self.offset = offset
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self.rotation = rotation
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self.rotation = rotation
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