Nothing

```
test_that('knockoff.filter verifies input dimensions', {
expect_error(knockoff.filter(knockoff:::rnorm_matrix(10, 10), rnorm(10), knockoffs=create.fixed), 'dimensions')
expect_error(knockoff.filter(knockoff:::rnorm_matrix(20, 10), rnorm(19), knockoffs=create.fixed))
expect_warning(knockoff.filter(knockoff:::rnorm_matrix(20, 15), rnorm(20), knockoffs=create.fixed), 'dimensions')
})
# test_that('knockoff.filter for fixed design is invariant under permutations of the columns of the design matrix.', {
# # Problem parameters
# n = 250 # number of observations
# p = 100 # number of variables
# k = 30 # number of variables with nonzero coefficients
# amplitude = 5 # signal amplitude (for noise level = 1)
#
# # Generate the variables from a multivariate normal distribution
# X = matrix(rnorm(n*p),n)
#
# # Generate the response from a linear model
# nonzero = sample(p, k)
# beta = amplitude * (1:p %in% nonzero) / sqrt(n)
# y.sample <- function(X) X %*% beta + rnorm(n)
# y = y.sample(X)
#
# # Select variables
# set.seed(123)
# S = knockoff.filter(X, y, knockoffs=create.fixed)$selected
#
# # Permute columns
# idx_perm = sample(p)
# X_perm = X[,idx_perm]
# set.seed(123)
# S_perm = idx_perm[knockoff.filter(X_perm, y, knockoffs=create.fixed)$selected]
#
# # Verify consistency
# expect_true(setequal(S,S_perm))
# })
```

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