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
use crate::core::Fragment;
use std::cell::RefCell;

/// Cache for line numbers. This is necessary to avoid a O(n**2)
/// behavior when computing line numbers in [`wrap_optimal_fit`].
struct LineNumbers {
    line_numbers: RefCell<Vec<usize>>,
}

impl LineNumbers {
    fn new(size: usize) -> Self {
        let mut line_numbers = Vec::with_capacity(size);
        line_numbers.push(0);
        LineNumbers {
            line_numbers: RefCell::new(line_numbers),
        }
    }

    fn get<T>(&self, i: usize, minima: &[(usize, T)]) -> usize {
        while self.line_numbers.borrow_mut().len() < i + 1 {
            let pos = self.line_numbers.borrow().len();
            let line_number = 1 + self.get(minima[pos].0, &minima);
            self.line_numbers.borrow_mut().push(line_number);
        }

        self.line_numbers.borrow()[i]
    }
}

/// Per-line penalty. This is added for every line, which makes it
/// expensive to output more lines than the minimum required.
const NLINE_PENALTY: i32 = 1000;

/// Per-character cost for lines that overflow the target line width.
///
/// With a value of 50², every single character costs as much as
/// leaving a gap of 50 characters behind. This is becuase we assign
/// as cost of `gap * gap` to a short line. This means that we can
/// overflow the line by 1 character in extreme cases:
///
/// ```
/// use textwrap::core::{wrap_optimal_fit, Word};
///
/// let short = "foo ";
/// let long = "x".repeat(50);
/// let fragments = vec![Word::from(short), Word::from(&long)];
///
/// // Perfect fit, both words are on a single line with no overflow.
/// let wrapped = wrap_optimal_fit(&fragments, |_| short.len() + long.len());
/// assert_eq!(wrapped, vec![&[Word::from(short), Word::from(&long)]]);
///
/// // The words no longer fit, yet we get a single line back. While
/// // the cost of overflow (`1 * 2500`) is the same as the cost of the
/// // gap (`50 * 50 = 2500`), the tie is broken by `NLINE_PENALTY`
/// // which makes it cheaper to overflow than to use two lines.
/// let wrapped = wrap_optimal_fit(&fragments, |_| short.len() + long.len() - 1);
/// assert_eq!(wrapped, vec![&[Word::from(short), Word::from(&long)]]);
///
/// // The cost of overflow would be 2 * 2500, whereas the cost of the
/// // gap is only `49 * 49 + NLINE_PENALTY = 2401 + 1000 = 3401`. We
/// // therefore get two lines.
/// let wrapped = wrap_optimal_fit(&fragments, |_| short.len() + long.len() - 2);
/// assert_eq!(wrapped, vec![&[Word::from(short)],
///                          &[Word::from(&long)]]);
/// ```
///
/// This only happens if the overflowing word is 50 characters long
/// _and_ if it happens to overflow the line by exactly one character.
/// If it overflows by more than one character, the overflow penalty
/// will quickly outgrow the cost of the gap, as seen above.
const OVERFLOW_PENALTY: i32 = 50 * 50;

/// The last line is short if it is less than 1/4 of the target width.
const SHORT_LINE_FRACTION: usize = 4;

/// Penalize a short last line.
const SHORT_LAST_LINE_PENALTY: i32 = 25;

/// Penalty for lines ending with a hyphen.
const HYPHEN_PENALTY: i32 = 25;

/// Wrap abstract fragments into lines with an optimal-fit algorithm.
///
/// The `line_widths` map line numbers (starting from 0) to a target
/// line width. This can be used to implement hanging indentation.
///
/// The fragments must already have been split into the desired
/// widths, this function will not (and cannot) attempt to split them
/// further when arranging them into lines.
///
/// # Optimal-Fit Algorithm
///
/// The algorithm considers all possible break points and picks the
/// breaks which minimizes the gaps at the end of each line. More
/// precisely, the algorithm assigns a cost or penalty to each break
/// point, determined by `cost = gap * gap` where `gap = target_width -
/// line_width`. Shorter lines are thus penalized more heavily since
/// they leave behind a larger gap.
///
/// We can illustrate this with the text “To be, or not to be: that is
/// the question”. We will be wrapping it in a narrow column with room
/// for only 10 characters. The [greedy
/// algorithm](super::wrap_first_fit) will produce these lines, each
/// annotated with the corresponding penalty:
///
/// ```text
/// "To be, or"   1² =  1
/// "not to be:"  0² =  0
/// "that is"     3² =  9
/// "the"         7² = 49
/// "question"    2² =  4
/// ```
///
/// We see that line four with “the” leaves a gap of 7 columns, which
/// gives it a penalty of 49. The sum of the penalties is 63.
///
/// There are 10 words, which means that there are `2_u32.pow(9)` or
/// 512 different ways to typeset it. We can compute
/// the sum of the penalties for each possible line break and search
/// for the one with the lowest sum:
///
/// ```text
/// "To be,"     4² = 16
/// "or not to"  1² =  1
/// "be: that"   2² =  4
/// "is the"     4² = 16
/// "question"   2² =  4
/// ```
///
/// The sum of the penalties is 41, which is better than what the
/// greedy algorithm produced.
///
/// Searching through all possible combinations would normally be
/// prohibitively slow. However, it turns out that the problem can be
/// formulated as the task of finding column minima in a cost matrix.
/// This matrix has a special form (totally monotone) which lets us
/// use a [linear-time algorithm called
/// SMAWK](https://lib.rs/crates/smawk) to find the optimal break
/// points.
///
/// This means that the time complexity remains O(_n_) where _n_ is
/// the number of words. Compared to
/// [`wrap_first_fit`](super::wrap_first_fit), this function is about
/// 4 times slower.
///
/// The optimization of per-line costs over the entire paragraph is
/// inspired by the line breaking algorithm used in TeX, as described
/// in the 1981 article [_Breaking Paragraphs into
/// Lines_](http://www.eprg.org/G53DOC/pdfs/knuth-plass-breaking.pdf)
/// by Knuth and Plass. The implementation here is based on [Python
/// code by David
/// Eppstein](https://github.com/jfinkels/PADS/blob/master/pads/wrap.py).
///
/// **Note:** Only available when the `smawk` Cargo feature is
/// enabled.
pub fn wrap_optimal_fit<'a, T: Fragment, F: Fn(usize) -> usize>(
    fragments: &'a [T],
    line_widths: F,
) -> Vec<&'a [T]> {
    let mut widths = Vec::with_capacity(fragments.len() + 1);
    let mut width = 0;
    widths.push(width);
    for fragment in fragments {
        width += fragment.width() + fragment.whitespace_width();
        widths.push(width);
    }

    let line_numbers = LineNumbers::new(fragments.len());

    let minima = smawk::online_column_minima(0, widths.len(), |minima, i, j| {
        // Line number for fragment `i`.
        let line_number = line_numbers.get(i, &minima);
        let target_width = std::cmp::max(1, line_widths(line_number));

        // Compute the width of a line spanning fragments[i..j] in
        // constant time. We need to adjust widths[j] by subtracting
        // the whitespace of fragment[j-i] and then add the penalty.
        let line_width = widths[j] - widths[i] - fragments[j - 1].whitespace_width()
            + fragments[j - 1].penalty_width();

        // We compute cost of the line containing fragments[i..j]. We
        // start with values[i].1, which is the optimal cost for
        // breaking before fragments[i].
        //
        // First, every extra line cost NLINE_PENALTY.
        let mut cost = minima[i].1 + NLINE_PENALTY;

        // Next, we add a penalty depending on the line length.
        if line_width > target_width {
            // Lines that overflow get a hefty penalty.
            let overflow = (line_width - target_width) as i32;
            cost += overflow * OVERFLOW_PENALTY;
        } else if j < fragments.len() {
            // Other lines (except for the last line) get a milder
            // penalty which depend on the size of the gap.
            let gap = (target_width - line_width) as i32;
            cost += gap * gap;
        } else if i + 1 == j && line_width < target_width / SHORT_LINE_FRACTION {
            // The last line can have any size gap, but we do add a
            // penalty if the line is very short (typically because it
            // contains just a single word).
            cost += SHORT_LAST_LINE_PENALTY;
        }

        // Finally, we discourage hyphens.
        if fragments[j - 1].penalty_width() > 0 {
            // TODO: this should use a penalty value from the fragment
            // instead.
            cost += HYPHEN_PENALTY;
        }

        cost
    });

    let mut lines = Vec::with_capacity(line_numbers.get(fragments.len(), &minima));
    let mut pos = fragments.len();
    loop {
        let prev = minima[pos].0;
        lines.push(&fragments[prev..pos]);
        pos = prev;
        if pos == 0 {
            break;
        }
    }

    lines.reverse();
    lines
}