Module array_checks 

Array validation: finiteness, sign, symmetry, orthogonality, positive-definiteness, stochasticity

Array Validation Utilities

Comprehensive validation functions for ndarray arrays, covering finiteness, sign constraints, matrix properties (symmetry, orthogonality, positive-definiteness, stochasticity), shape matching, and diagnostic summaries.

All functions return CoreResult and avoid panics.

Structs

ArrayStats

Summary statistics for an array, useful for diagnostics.

Functions

assert_finite

Assert that every element of the array is finite (not NaN, not Inf).

assert_non_negative

Assert that every element is non-negative (>= 0).

assert_orthogonal

Assert that a 2-D matrix is orthogonal within tolerance.

assert_positive

Assert that every element is strictly positive (> 0).

assert_positive_definite

Assert that a 2-D symmetric matrix is positive definite.

assert_shape

Assert that the array has the exact expected shape.

assert_stochastic

Assert that a 2-D matrix is (row-)stochastic: each row sums to 1 within tolerance, and all elements are non-negative.

assert_symmetric

Assert that a 2-D matrix is symmetric within a given tolerance.

compute_array_stats

Compute summary statistics for a flat array.

diagnose_array

Comprehensive array health check, returning a human-readable diagnostic string.