1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
//! A faster implementation of the backtracking search algorithm to generate curves of a desired
//! area.
//!
//! This algorithm is only capable of generating curves of integer area. The search space is
//! dramatically reduced by treating quarter circle arcs as straight line diagonal segments. Now,
//! there are only two possible loop segments at each point along the loop, rather than the four
//! possibilities when using curved quarter circle arcs. This reduces the branching factor in the
//! search algorithm from 6 to 3. Each time we find a valid loop, it contributes (2n choose n)
//! possibilities to the total count of closed curves built out of quarter circle segments (where
//! 2n is the total path length). Each straight line segment in the configuration this algorithm
//! discovers can maintain the same integer area when translated to the space of quarter-circle if
//! and only half of the segments are converted to contributors of '1-π/4' area, and the other half
//! are converted to contributors of 'π/4' area.
//!
//! This algorithm is so much faster than the original version that we can afford to completely
//! relax the search constraints and it will still produce the result in under a second. This gives
//! us even more confidence in the accuracy of our answer.

/// A cell in the grid.
///
/// The non-empty cells have diagonal slants in them, either forward-facing (╱) or backward-facing
/// (╲).
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum Cell {
    Empty,
    Forward,
    Backward,
}

/// Representation of an area enclosed by a closed curve in the grid.
#[derive(Copy, Clone, Debug, Eq, PartialEq)]
pub struct Area {
    /// The number of full units.
    pub units: u8,
    /// The number of half units (contributed by a slanted path segment).
    pub half: u8,
}

impl Area {
    /// Simplify the `Area` representation by treating pairs of half segments as full units.
    pub fn simplify(&self) -> Self {
        let u = self.half / 2;

        Area {
            units: self.units + u,
            half: self.half - 2 * u,
        }
    }

    /// Whether this is an integer area of `n` units.
    #[allow(dead_code)]
    pub fn is_integer(&self, n: u8) -> bool {
        let simplified = self.simplify();
        simplified.units == n && simplified.half == 0
    }
}

impl std::fmt::Display for Area {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        let a = self.simplify();

        write!(f, "{}", a.units as f32 + a.half as f32 * 0.5)
    }
}

/// An error returned when attempting to calculate the area enclosed by a loop in a `Grid`.
#[derive(Debug)]
pub enum AreaError {
    LoopNotClosed,
}

/// A 7x7 grid, containing empty cells and curve segments.
#[derive(Clone, Debug)]
pub struct Grid {
    data: [[Cell; 7]; 7],
}

impl Grid {
    /// Create a new `Grid` from an array of arrays of `Cell`s.
    pub fn new(data: [[Cell; 7]; 7]) -> Self {
        Self { data }
    }

    /// Calculate the enclosed area inside the loop drawn in this `Grid`. This function assumes
    /// that the shape passed is a valid closed loop. It does not check this.
    pub fn loop_area(&self) -> Result<Area, AreaError> {
        // These should sum to exactly 49 at the end of looping through the grid.
        let mut n = 0; // The number of slanted segments encountered.
        let mut k = 0; // The number of outside full cells encountered.
        let mut j = 0; // The number of inside full cells encountered.
        let mut h = 0; // The number of segments which contribute a half unit of enclosed area.

        for row in &self.data {
            // Tracking whether we are inside or outside the loop before we inspect this cell.
            let mut outside = true;

            for col in row {
                use Cell::*;
                match col {
                    Empty => {
                        if outside {
                            k += 1;
                        } else {
                            j += 1;
                        }
                    }
                    Forward | Backward => {
                        n += 1;
                        h += 1;

                        outside = !outside;
                    }
                }
            }
        }

        if n + k + j != 49 {
            Err(AreaError::LoopNotClosed)
        } else {
            Ok(Area { units: j, half: h }.simplify())
        }
    }
}

impl std::fmt::Display for Grid {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        for row in &self.data {
            for col in row {
                use Cell::*;
                match *col {
                    Empty => write!(f, "·")?,
                    Forward => write!(f, "╱")?,
                    Backward => write!(f, "╲")?,
                };
            }
            writeln!(f)?;
        }

        Ok(())
    }
}

/// A data structure for generating closed loops of a target area, using a back-tracking algorithm.
#[derive(Debug)]
pub struct Generator {
    /// The target area we are aiming for.
    target: Area,
    /// The maximum number of inner cells (i.e. not part of the outer boundary of the grid) we can
    /// have forming part of the curve. This constraint is useful to prune a very large number of
    /// search paths, assuming we can prove it rigorously for our desired target area.
    max_inner_cells: u8,
    /// The maximum length of the loop (in segments). This constraint is useful to prune some search
    /// paths, assuming we can prove it rigorously for our target area.
    max_length: u8,
    /// The current state of the grid.
    grid: Grid,
    /// Whether we have placed something in each cell of the grid so far during the backtracking
    /// algorithm.
    placed: [[bool; 7]; 7],
    /// Tracks the number of placed cells; used to ensure backtracking doesn't recurse forever.
    placed_cnt: u8,
    /// The order of placements made in the grid. When we backtrack, we pop off elements and undo
    /// those moves. The first tuple is the coordinate of the cell being placed. The second element
    /// is the coordinates of the head before we placed this move (for undoing).
    moves: Vec<((u8, u8), (u8, u8))>,
    /// The coordinates of the loop's starting point, used to determine when we have closed the
    /// loop. Coordinates are on the grid lines, zero-indexed from the top-left of the grid.
    start: (u8, u8),
    /// The location of the head of the loop we are generating. Coordinates are on the grid lines.
    head: (u8, u8),
    /// Storage for all the valid grids we find.
    valid_grids: Vec<Grid>,
    /// Counter of all valid grids, capturing the multiplicity. This algorithm will find valid
    /// _layouts_ using forward/backward strokes. Each of these has associated with it a large
    /// number of grids drawn with quarter circle arcs. In fact, if the path length is 2n (it must
    /// be even), then there are (2n choose n) arc-segment paths for each path we find.
    valid_cnt: usize,
    calls: usize,
    /// The number of cells we have placed not on the outer rim of the grid. This constraint is
    /// useful to prune a large number of search paths, assuming we can prove it rigorously for our
    /// target area.
    inner_cells: usize,
}

impl Generator {
    /// Create a new `Generator`.
    pub fn new(target: Area, max_inner_cells: u8, max_length: u8) -> Self {
        Self {
            target: target.simplify(),
            max_inner_cells,
            max_length,
            grid: Grid::new([[Cell::Empty; 7]; 7]),
            placed: [[false; 7]; 7],
            placed_cnt: 0,
            moves: Vec::with_capacity(49),
            start: (0, 0),
            head: (0, 0),
            valid_grids: Vec::new(),
            valid_cnt: 0,
            calls: 0,
            inner_cells: 0,
        }
    }

    /// Generate the total count of valid grids (including multiplicity), and a vec of all the grid
    /// layouts.
    pub fn generate(mut self) -> (usize, Vec<Grid>) {
        self.next_cell();
        (self.valid_cnt, self.valid_grids)
    }

    fn next_cell(&mut self) {
        self.calls += 1;
        if self.calls % 1_000_000 == 0 {
            println!(
                "{} nodes visited; {} valid grids found",
                self.calls,
                self.valid_grids.len(),
            );
        }

        if self.moves.len() == 0 {
            // Try every possibility for the first cell.
            for r in 0..7 {
                for c in 0..7 {
                    use Cell::*;
                    for cell in [Forward, Backward] {
                        match cell {
                            Empty => unreachable!(),
                            Forward => {
                                let start = (r + 1, c);
                                if start == (0, 0)
                                    || start == (0, 7)
                                    || start == (7, 0)
                                    || start == (7, 7)
                                {
                                    continue;
                                }

                                self.head = (r, c + 1);
                                self.start = (r + 1, c);
                                self.place(r, c, cell, r, c + 1);
                            }
                            Backward => {
                                let start = (r, c);
                                if start == (0, 0)
                                    || start == (0, 7)
                                    || start == (7, 0)
                                    || start == (7, 7)
                                {
                                    continue;
                                }

                                self.head = (r + 1, c + 1);
                                self.start = (r, c);
                                self.place(r, c, cell, r + 1, c + 1);
                            }
                        }

                        self.next_cell();
                        self.unplace();
                    }

                    // Unlike with non-first cells, we want to maintain the flag that marks
                    // this as placed, because we don't want the loop to ever come back here.
                    self.placed[r as usize][c as usize] = true;
                    assert_eq!(self.grid.data, [[Empty; 7]; 7]);
                }
            }
        } else {
            // Get the last cell that we placed.
            let ((pr, pc), _) = self.moves.last().expect("should be non-empty").clone();
            let p_cell = self.grid.data[pr as usize][pc as usize];
            assert_ne!(p_cell, Cell::Empty);

            let mut moves = Vec::with_capacity(3);

            // Consider the current head. There are four cells surrounding it. Establish from the
            // `placed` grid which of these we can move to next.
            let (hr, hc) = self.head;

            for dr in [-1, 1] {
                let nr = hr as i32 + dr;
                if nr < 0 || nr > 7 {
                    continue;
                }
                let nr = nr as u8;

                for dc in [-1, 1] {
                    let nc = hc as i32 + dc;
                    if nc < 0 || nc > 7 {
                        continue;
                    }
                    let nc = nc as u8;

                    let ncellr = if dr == 1 { nr - 1 } else { nr };
                    let ncellc = if dc == 1 { nc - 1 } else { nc };

                    // Check that the proposed new cell location isn't already populated.
                    if self.placed[ncellr as usize][ncellc as usize] {
                        continue;
                    }

                    // Push the relevant move into the list.
                    use Cell::*;
                    match (dr, dc) {
                        (-1, -1) | (1, 1) => {
                            moves.push((ncellr, ncellc, Backward, nr, nc));
                        }
                        (-1, 1) | (1, -1) => {
                            moves.push((ncellr, ncellc, Forward, nr, nc));
                        }
                        _ => unreachable!(),
                    }
                }
            }

            // Iterate the moves
            for (ncellr, ncellc, n_cell, nr, nc) in moves {
                // Check if the current possibility causes a self-intersection. If so, continue.
                let mut c = 0_u8;

                // Top-left
                if nr > 0
                    && nc > 0
                    && self.grid.data[nr as usize - 1][nc as usize - 1] != Cell::Empty
                {
                    c += 1;
                }
                // Top-right
                if nr > 0 && nc < 7 && self.grid.data[nr as usize - 1][nc as usize] != Cell::Empty {
                    c += 1;
                }
                // Bottom-left
                if nr < 7 && nc > 0 && self.grid.data[nr as usize][nc as usize - 1] != Cell::Empty {
                    c += 1;
                }
                // Bottom-right
                if nr < 7 && nc < 7 && self.grid.data[nr as usize][nc as usize] != Cell::Empty {
                    c += 1;
                }

                if c >= 2 {
                    continue;
                }

                // Check if this possibility closes the loop. If so, add it to the valid grids.
                // The current `placed_cnt` must have odd parity if adding this possibility would
                // close the loop, because a closed loop must have even parity.
                if nr == self.start.0 && nc == self.start.1 {
                    assert_eq!(c, 1);

                    self.place(ncellr, ncellc, n_cell, nr, nc);
                    assert!(self.placed_cnt % 2 == 0);

                    let area = self.grid.loop_area().expect("we formed a loop").simplify();

                    if area == self.target {
                        self.valid_grids.push(self.grid.clone());
                        self.valid_cnt += central_binom(self.placed_cnt / 2);

                        self.unplace();
                    } else {
                        // We formed a loop, but it was the wrong size.
                        self.unplace();
                        continue;
                    }
                }

                if self.placed_cnt + 1 > self.max_length {
                    continue;
                }

                // Place the current possibility
                self.place(ncellr, ncellc, n_cell, nr, nc);

                if self.inner_cells <= self.max_inner_cells as usize {
                    self.next_cell();
                }

                self.unplace();
            }
        }
    }

    fn place(&mut self, row: u8, col: u8, c: Cell, headr: u8, headc: u8) {
        let cell = &mut self.grid.data[row as usize][col as usize];
        let placed = &mut self.placed[row as usize][col as usize];

        assert_eq!(*placed, false);

        *cell = c;
        *placed = true;
        self.placed_cnt += 1;
        self.moves.push(((row, col), self.head));
        self.head = (headr, headc);

        if row > 0 && row < 6 && col > 0 && col < 6 {
            self.inner_cells += 1;
        }
    }

    fn unplace(&mut self) {
        let ((row, col), old_head) = self
            .moves
            .pop()
            .expect("should never call `unplace` with nothing to unplace");
        let cell = &mut self.grid.data[row as usize][col as usize];
        let placed = &mut self.placed[row as usize][col as usize];
        assert_eq!(*placed, true);

        *cell = Cell::Empty;
        *placed = false;
        self.placed_cnt -= 1;
        self.head = old_head;

        if row > 0 && row < 6 && col > 0 && col < 6 {
            self.inner_cells -= 1;
        }
    }
}

/// Returns the value of 2n choose n, the central binomial coefficient. Implemented as const lookup
/// table for speed and ease.
///
/// <https://oeis.org/A000984>
///
/// # Panics
///
/// Panics for values of n > 26.
const fn central_binom(n: u8) -> usize {
    match n {
        0 => 1,
        1 => 2,
        2 => 6,
        3 => 20,
        4 => 70,
        5 => 252,
        6 => 924,
        7 => 3432,
        8 => 12870,
        9 => 48620,
        10 => 184756,
        11 => 705432,
        12 => 2704156,
        13 => 10400600,
        14 => 40116600,
        15 => 155117520,
        16 => 601080390,
        17 => 2333606220,
        18 => 9075135300,
        19 => 35345263800,
        20 => 137846528820,
        21 => 538257874440,
        22 => 2104098963720,
        23 => 8233430727600,
        24 => 32247603683100,
        25 => 126410606437752,
        26 => 495918532948104,
        _ => unimplemented!(),
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn example_shapes_have_correct_area() {
        use Cell::*;

        let grid1 = Grid::new([
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Forward, Backward, Empty, Empty, Empty, Empty],
            [Empty, Backward, Forward, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
        ]);

        assert_eq!(
            grid1.loop_area().unwrap().simplify(),
            Area { units: 2, half: 0 }
        );

        let grid2 = Grid::new([
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Empty, Empty, Empty, Empty, Empty],
            [Empty, Empty, Forward, Backward, Forward, Backward, Empty],
            [Empty, Empty, Backward, Empty, Empty, Forward, Empty],
            [Empty, Empty, Empty, Backward, Forward, Empty, Empty],
        ]);

        assert!(grid2.loop_area().unwrap().is_integer(6));

        let grid3 = Grid::new([
            [Empty, Empty, Forward, Backward, Forward, Backward, Empty],
            [Empty, Forward, Empty, Empty, Empty, Empty, Backward],
            [Forward, Empty, Empty, Empty, Empty, Empty, Forward],
            [Backward, Empty, Empty, Empty, Empty, Empty, Backward],
            [Forward, Empty, Empty, Empty, Empty, Empty, Forward],
            [Backward, Empty, Empty, Empty, Empty, Forward, Empty],
            [Empty, Backward, Forward, Backward, Forward, Empty, Empty],
        ]);

        assert_eq!(grid3.loop_area().unwrap(), Area { units: 32, half: 0 });
    }
}