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compiler: clean up the typo check
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9dd86f6fb8
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@ -1018,21 +1018,17 @@ fn (f &Fn) str_args(table &Table) string {
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}
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// find local function variable with closest name to `name`
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fn (f &Fn) find_misspelled_local_var(name string, min_match f64) string {
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mut closest := f64(0)
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fn (f &Fn) find_misspelled_local_var(name string, min_match f32) string {
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mut closest := f32(0)
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mut closest_var := ''
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for var in f.local_vars {
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n := '${f.mod}.$var.name'
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if var.name == '' || !name.starts_with(f.mod) || (n.len - name.len > 3 || name.len - n.len > 3) { continue }
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p := strings.dice_coefficient(name, n)
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println(' ## $name - $n: $p')
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if p > closest {
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closest = p
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closest_var = n
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}
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}
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if closest >= min_match {
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return closest_var
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}
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return ''
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return if closest >= min_match { closest_var } else { '' }
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}
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@ -955,8 +955,8 @@ fn (table &Table) identify_typo(name string, current_fn &Fn, fit &FileImportTabl
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}
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// find function with closest name to `name`
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fn (table &Table) find_misspelled_fn(name string, min_match f64) string {
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mut closest := f64(0)
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fn (table &Table) find_misspelled_fn(name string, min_match f32) string {
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mut closest := f32(0)
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mut closest_fn := ''
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for _, f in table.fns {
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n := '${f.mod}.$f.name'
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@ -967,15 +967,12 @@ fn (table &Table) find_misspelled_fn(name string, min_match f64) string {
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closest_fn = n
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}
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}
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if closest >= min_match {
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return closest_fn
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}
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return ''
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return if closest >= min_match { closest_fn } else { '' }
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}
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// find imported module with closest name to `name`
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fn (table &Table) find_misspelled_imported_mod(name string, fit &FileImportTable, min_match f64) string {
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mut closest := f64(0)
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fn (table &Table) find_misspelled_imported_mod(name string, fit &FileImportTable, min_match f32) string {
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mut closest := f32(0)
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mut closest_mod := ''
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for alias, mod in fit.imports {
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n := '${fit.module_name}.$alias'
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@ -986,8 +983,5 @@ fn (table &Table) find_misspelled_imported_mod(name string, fit &FileImportTable
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closest_mod = '$alias ($mod)'
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}
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}
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if closest >= min_match {
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return closest_mod
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}
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return ''
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return if closest >= min_match { closest_mod } else { '' }
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}
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@ -25,16 +25,16 @@ pub fn levenshtein_distance(a, b string) int {
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// use levenshtein distance algorithm to calculate
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// how similar two strings are as a percentage (higher is closer)
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pub fn levenshtein_distance_percentage(a, b string) f64 {
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pub fn levenshtein_distance_percentage(a, b string) f32 {
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d := levenshtein_distance(a, b)
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l := if a.len >= b.len { a.len } else { b.len }
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return (1.00 - f64(d)/f64(l)) * 100.00
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return (1.00 - f32(d)/f32(l)) * 100.00
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}
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// implementation of Sørensen–Dice coefficient.
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// find the similarity between two strings.
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// returns f64 between 0.0 (not similar) and 1.0 (exact match).
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pub fn dice_coefficient(s1, s2 string) f64 {
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pub fn dice_coefficient(s1, s2 string) f32 {
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if s1.len == 0 || s2.len == 0 { return 0.0 }
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if s1 == s2 { return 1.0 }
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if s1.len < 2 || s2.len < 2 { return 0.0 }
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@ -55,5 +55,5 @@ pub fn dice_coefficient(s1, s2 string) f64 {
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intersection_size++
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}
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}
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return (2.0 * intersection_size) / (f64(s1.len) + f64(s2.len) - 2)
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return (2.0 * intersection_size) / (f32(s1.len) + f32(s2.len) - 2)
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}
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