Better coding-style in the doc-tests.
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@ -169,20 +169,19 @@ where
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/// Using parallel column iterators to calculate the sum of the maximum
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/// elements in each column:
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/// ```
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/// use nalgebra::{dmatrix,DMatrix};
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/// use nalgebra::{dmatrix, DMatrix};
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/// use rayon::prelude::*;
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///
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/// let matrix : DMatrix<f64> =
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/// nalgebra::dmatrix![1.,0.,5.;
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/// 2.,4.,1.;
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/// 3.,2.,2.;];
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/// let sum_of_max :f64 =
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/// matrix
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/// .par_column_iter()
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/// .map(|col|col.max())
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/// .sum();
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/// let matrix : DMatrix<f64> = dmatrix![1.0, 0.0, 5.0;
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/// 2.0, 4.0, 1.0;
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/// 3.0, 2.0, 2.0;
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/// ];
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/// let sum_of_max :f64 = matrix
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/// .par_column_iter()
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/// .map(|col| col.max())
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/// .sum();
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///
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/// assert_eq!(sum_of_max,3.+4.+5.);
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/// assert_eq!(sum_of_max,3.0 + 4.0 + 5.0);
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///
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/// ```
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///
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@ -200,17 +199,16 @@ where
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/// Normalize each column of a matrix with respect to its own maximum value.
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///
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/// ```
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/// use nalgebra::{dmatrix,DMatrix};
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/// use nalgebra::{dmatrix, DMatrix};
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/// use rayon::prelude::*;
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///
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/// let mut matrix : DMatrix<f64> =
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/// dmatrix![2.,4.,6.;
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/// 1.,2.,3.];
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/// let mut matrix : DMatrix<f64> = dmatrix![
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/// 2.0, 4.0, 6.0;
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/// 1.0, 2.0, 3.0;
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/// ];
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/// matrix.par_column_iter_mut().for_each(|mut col| col /= col.max());
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///
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/// assert_eq!(matrix,
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/// dmatrix![1. ,1. , 1.;
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/// 0.5,0.5,0.5]);
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/// assert_eq!(matrix, dmatrix![1.0, 1.0, 1.0; 0.5, 0.5, 0.5]);
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/// ```
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///
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/// [`par_column_iter`]: crate::Matrix::par_column_iter
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