Enum NormalizedSelection

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pub enum NormalizedSelection {
    False,
    True,
    All(Box<NormalizedSelection>),
    First(Box<NormalizedSelection>),
    Range(Range, Box<NormalizedSelection>),
    Label(Vec<LabelKey>, Box<NormalizedSelection>),
    Any(Box<NormalizedSelection>),
    Union(BTreeSet<NormalizedSelection>),
    Intersection(BTreeSet<NormalizedSelection>),
}
Expand description

A normalized form of Selection, used during canonicalization.

This structure uses BTreeSet for Union and Intersection to enable flattening, deduplication, and deterministic ordering.

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impl NormalizedSelection

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pub fn trav<F>(self, f: F) -> NormalizedSelection

Applies a transformation to each child node of the selection.

This performs a single-layer traversal, applying f to each immediate child and reconstructing the outer node with the transformed children.

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impl NormalizedSelection

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impl Clone for NormalizedSelection

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fn clone(&self) -> NormalizedSelection

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for NormalizedSelection

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fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter. Read more
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impl From<NormalizedSelection> for Selection

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fn from(norm: NormalizedSelection) -> Selection

Converts the normalized form back into a standard Selection.

Logical semantics are preserved, but normalized shape (e.g., set-based unions and intersections) is reconstructed as left-associated binary trees.

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impl Hash for NormalizedSelection

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fn hash<__H>(&self, state: &mut __H)
where __H: Hasher,

Feeds this value into the given Hasher. Read more
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fn hash_slice<H>(data: &[Self], state: &mut H)
where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher. Read more
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impl Ord for NormalizedSelection

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fn cmp(&self, other: &NormalizedSelection) -> Ordering

This method returns an Ordering between self and other. Read more
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fn max(self, other: Self) -> Self
where Self: Sized,

Compares and returns the maximum of two values. Read more
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fn min(self, other: Self) -> Self
where Self: Sized,

Compares and returns the minimum of two values. Read more
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fn clamp(self, min: Self, max: Self) -> Self
where Self: Sized,

Restrict a value to a certain interval. Read more
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impl PartialEq for NormalizedSelection

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fn eq(&self, other: &NormalizedSelection) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl PartialOrd for NormalizedSelection

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fn partial_cmp(&self, other: &NormalizedSelection) -> Option<Ordering>

This method returns an ordering between self and other values if one exists. Read more
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fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator. Read more
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fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator. Read more
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fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator. Read more
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fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator. Read more
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impl SelectionSYM for NormalizedSelection

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fn true_() -> NormalizedSelection

The universal selection (matches all nodes).
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fn false_() -> NormalizedSelection

The identity selection (matches no nodes).
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fn all(inner: NormalizedSelection) -> NormalizedSelection

Selects all values along the current dimension, then applies the inner selection.
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fn first(inner: NormalizedSelection) -> NormalizedSelection

Selects the first index along the current dimension for which the inner selection is non-empty.
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fn range<R>(range: R, inner: NormalizedSelection) -> NormalizedSelection
where R: Into<Range>,

Selects values within the given range along the current dimension, then applies the inner selection.
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fn label<L>(labels: Vec<L>, inner: NormalizedSelection) -> NormalizedSelection
where L: Into<LabelKey>,

Selects values along the current dimension that match the given labels, then applies the inner selection.
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fn any(inner: NormalizedSelection) -> NormalizedSelection

Selects a random index along the current dimension, then applies the inner selection.
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fn intersection( lhs: NormalizedSelection, rhs: NormalizedSelection, ) -> NormalizedSelection

The intersection (logical AND) of two selection expressions.
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fn union( lhs: NormalizedSelection, rhs: NormalizedSelection, ) -> NormalizedSelection

The union (logical OR) of two selection expressions.
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impl Eq for NormalizedSelection

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impl StructuralPartialEq for NormalizedSelection

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fn compare(&self, key: &K) -> Ordering

Compare self to key and return their ordering.
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