Why Rust for Low-Level Linux Programming?
groveronline.com200 pointsby pieceofpeace226 comments
let g:ctrlp_user_command = {
\ 'types': {
\ 1: ['.git/', 'cd %s && git ls-files'],
\ 2: ['.hg/', 'hg --cwd %s locate -I .'],
\ },
\ 'fallback': 'find %s -type f'
\ } <ul>
<li ng-repeat="name in names">{{name}}</li>
<li ui-if="!names.length">There are no names in the list</li>
</ul>
: http://angular-ui.github.com/#directives-if The solver uses depth first and/or breadth first tree search
with constraint propagation to prune the search for the next
best move (forms of forward checking.) There are space/time
tradeoffs between depth/breadth first search and the constraints
used; sudoku(1) has options to control the combinations.
The common characteristic for all constraints, here and elsewhere,
is that they avoid trial and error. Its fine for a computer
to guess and backtrack but a definite breach of puzzle manners
to require a human to do so.
I could be wrong but, yes, it does use backtracking to find the constraint that can give a number for an empty cell but it never has to change a number it has put in a cell. That differs from the trial and error approach that moves forward by guessing values and checking if it leads to a valid solution. $ man man