Restore doctests

Author: termoshtt

src/cholesky.rs

@@ -9,7 +9,7 @@
 //! Using the Cholesky decomposition of `A` for various operations, where `A`
 //! is a Hermitian (or real symmetric) positive definite matrix:
 //!
-//! ```no_run
+//! ```
 //! #[macro_use]
 //! extern crate ndarray;
 //! extern crate ndarray_linalg;

src/solve.rs

@@ -4,7 +4,7 @@
 //!
 //! Solve `A * x = b`:
 //!
-//! ```no_run
+//! ```
 //! #[macro_use]
 //! extern crate ndarray;
 //! extern crate ndarray_linalg;
@@ -28,7 +28,7 @@
 //! coefficient matrix `A`, it's faster to compute the LU factorization once at
 //! the beginning than solving directly using `A`:
 //!
-//! ```no_run
+//! ```
 //! # extern crate ndarray;
 //! # extern crate ndarray_linalg;
 //!

src/solveh.rs

@@ -7,7 +7,7 @@
 //!
 //! Solve `A * x = b`, where `A` is a Hermitian (or real symmetric) matrix:
 //!
-//! ```no_run
+//! ```
 //! #[macro_use]
 //! extern crate ndarray;
 //! extern crate ndarray_linalg;
@@ -32,7 +32,7 @@
 //! Hermitian or real symmetric coefficient matrix `A`, it's faster to compute
 //! the factorization once at the beginning than solving directly using `A`:
 //!
-//! ```no_run
+//! ```
 //! # extern crate ndarray;
 //! # extern crate ndarray_linalg;
 //! use ndarray::prelude::*;