Struct GradientData

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pub struct GradientData {
    pub values: Vec<f32>,
    pub n_rois: usize,
    pub grad_dim: usize,
}

Expand description

Brain gradient coordinates loaded from CSV.

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§values: Vec<f32>

Gradient values: [n_rois, grad_dim] as flat Vec

§n_rois: usize§grad_dim: usize

Implementations§

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impl GradientData

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pub fn from_csv(path: &str) -> Result<Self>

Load gradient mapping from a CSV file.

Expected format: each row is an ROI, columns are gradient axes. All rows must have the same number of columns.

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impl Debug for GradientData

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl UnwindSafe for GradientData

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
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impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
where ST: ?Sized, DT: ?Sized,

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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