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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 }