| ... | @@ -853,10 +853,7 @@ pub fn indexOf(comptime T: type, haystack: []const T, needle: []const T) ?usize | ... | @@ -853,10 +853,7 @@ pub fn indexOf(comptime T: type, haystack: []const T, needle: []const T) ?usize |
| 853 | | 853 | |
| 854 | /// Find the index in a slice of a sub-slice, searching from the end backwards. | 854 | /// Find the index in a slice of a sub-slice, searching from the end backwards. |
| 855 | /// To start looking at a different index, slice the haystack first. | 855 | /// To start looking at a different index, slice the haystack first. |
| 856 | /// TODO is there even a better algorithm for this? | 856 | fn lastIndexOfLinear(comptime T: type, haystack: []const T, needle: []const T) ?usize { |
| 857 | pub fn lastIndexOf(comptime T: type, haystack: []const T, needle: []const T) ?usize { | | |
| 858 | if (needle.len > haystack.len) return null; | | |
| 859 | | | |
| 860 | var i: usize = haystack.len - needle.len; | 857 | var i: usize = haystack.len - needle.len; |
| 861 | while (true) : (i -= 1) { | 858 | while (true) : (i -= 1) { |
| 862 | if (mem.eql(T, haystack[i .. i + needle.len], needle)) return i; | 859 | if (mem.eql(T, haystack[i .. i + needle.len], needle)) return i; |
| ... | @@ -864,10 +861,7 @@ pub fn lastIndexOf(comptime T: type, haystack: []const T, needle: []const T) ?us | ... | @@ -864,10 +861,7 @@ pub fn lastIndexOf(comptime T: type, haystack: []const T, needle: []const T) ?us |
| 864 | } | 861 | } |
| 865 | } | 862 | } |
| 866 | | 863 | |
| 867 | // TODO boyer-moore algorithm | 864 | fn indexOfPosLinear(comptime T: type, haystack: []const T, start_index: usize, needle: []const T) ?usize { |
| 868 | pub fn indexOfPos(comptime T: type, haystack: []const T, start_index: usize, needle: []const T) ?usize { | | |
| 869 | if (needle.len > haystack.len) return null; | | |
| 870 | | | |
| 871 | var i: usize = start_index; | 865 | var i: usize = start_index; |
| 872 | const end = haystack.len - needle.len; | 866 | const end = haystack.len - needle.len; |
| 873 | while (i <= end) : (i += 1) { | 867 | while (i <= end) : (i += 1) { |
| ... | @@ -876,7 +870,90 @@ pub fn indexOfPos(comptime T: type, haystack: []const T, start_index: usize, nee | ... | @@ -876,7 +870,90 @@ pub fn indexOfPos(comptime T: type, haystack: []const T, start_index: usize, nee |
| 876 | return null; | 870 | return null; |
| 877 | } | 871 | } |
| 878 | | 872 | |
| | 873 | fn boyerMooreHorspoolPreprocessReverse(pattern: []const u8, table: *[256]usize) void { |
| | 874 | for (table) |*c| { |
| | 875 | c.* = pattern.len; |
| | 876 | } |
| | 877 | |
| | 878 | var i: usize = pattern.len - 1; |
| | 879 | // The first item is intentionally ignored and the skip size will be pattern.len. |
| | 880 | // This is the standard way boyer-moore-horspool is implemented. |
| | 881 | while (i > 0) : (i -= 1) { |
| | 882 | table[pattern[i]] = i; |
| | 883 | } |
| | 884 | } |
| | 885 | |
| | 886 | fn boyerMooreHorspoolPreprocess(pattern: []const u8, table: *[256]usize) void { |
| | 887 | for (table) |*c| { |
| | 888 | c.* = pattern.len; |
| | 889 | } |
| | 890 | |
| | 891 | var i: usize = 0; |
| | 892 | // The last item is intentionally ignored and the skip size will be pattern.len. |
| | 893 | // This is the standard way boyer-moore-horspool is implemented. |
| | 894 | while (i < pattern.len - 1) : (i += 1) { |
| | 895 | table[pattern[i]] = pattern.len - 1 - i; |
| | 896 | } |
| | 897 | } |
| | 898 | /// Find the index in a slice of a sub-slice, searching from the end backwards. |
| | 899 | /// To start looking at a different index, slice the haystack first. |
| | 900 | // Reverse boyer-moore-horspool algorithm |
| | 901 | pub fn lastIndexOf(comptime T: type, haystack: []const T, needle: []const T) ?usize { |
| | 902 | if (needle.len > haystack.len) return null; |
| | 903 | if (needle.len == 0) return haystack.len; |
| | 904 | |
| | 905 | if (!meta.trait.hasUniqueRepresentation(T) or haystack.len < 32 or needle.len <= 2) |
| | 906 | return lastIndexOfLinear(T, haystack, needle); |
| | 907 | |
| | 908 | const haystack_bytes = sliceAsBytes(haystack); |
| | 909 | const needle_bytes = sliceAsBytes(needle); |
| | 910 | |
| | 911 | var skip_table: [256]usize = undefined; |
| | 912 | boyerMooreHorspoolPreprocessReverse(needle_bytes, skip_table[0..]); |
| | 913 | |
| | 914 | var i: usize = haystack_bytes.len - needle_bytes.len; |
| | 915 | while (true) { |
| | 916 | if (mem.eql(u8, haystack_bytes[i .. i + needle_bytes.len], needle_bytes)) return i; |
| | 917 | const skip = skip_table[haystack_bytes[i]]; |
| | 918 | if (skip > i) break; |
| | 919 | i -= skip; |
| | 920 | } |
| | 921 | |
| | 922 | return null; |
| | 923 | } |
| | 924 | |
| | 925 | // Boyer-moore-horspool algorithm |
| | 926 | pub fn indexOfPos(comptime T: type, haystack: []const T, start_index: usize, needle: []const T) ?usize { |
| | 927 | if (needle.len > haystack.len) return null; |
| | 928 | if (needle.len == 0) return 0; |
| | 929 | |
| | 930 | if (!meta.trait.hasUniqueRepresentation(T) or haystack.len < 52 or needle.len <= 4) |
| | 931 | return indexOfPosLinear(T, haystack, start_index, needle); |
| | 932 | |
| | 933 | const haystack_bytes = sliceAsBytes(haystack); |
| | 934 | const needle_bytes = sliceAsBytes(needle); |
| | 935 | |
| | 936 | var skip_table: [256]usize = undefined; |
| | 937 | boyerMooreHorspoolPreprocess(needle_bytes, skip_table[0..]); |
| | 938 | |
| | 939 | var i: usize = start_index * @sizeOf(T); |
| | 940 | while (i <= haystack_bytes.len - needle_bytes.len) { |
| | 941 | if (mem.eql(u8, haystack_bytes[i .. i + needle_bytes.len], needle_bytes)) return i; |
| | 942 | i += skip_table[haystack_bytes[i + needle_bytes.len - 1]]; |
| | 943 | } |
| | 944 | |
| | 945 | return null; |
| | 946 | } |
| | 947 | |
| 879 | test "mem.indexOf" { | 948 | test "mem.indexOf" { |
| | 949 | testing.expect(indexOf(u8, "one two three four five six seven eight nine ten", "three four").? == 8); |
| | 950 | testing.expect(lastIndexOf(u8, "one two three four five six seven eight nine ten", "three four").? == 8); |
| | 951 | testing.expect(indexOf(u8, "one two three four five six seven eight nine ten", "two two") == null); |
| | 952 | testing.expect(lastIndexOf(u8, "one two three four five six seven eight nine ten", "two two") == null); |
| | 953 | |
| | 954 | testing.expect(indexOf(u8, "one two three four five six seven eight nine ten", "").? == 0); |
| | 955 | testing.expect(lastIndexOf(u8, "one two three four five six seven eight nine ten", "").? == 48); |
| | 956 | |
| 880 | testing.expect(indexOf(u8, "one two three four", "four").? == 14); | 957 | testing.expect(indexOf(u8, "one two three four", "four").? == 14); |
| 881 | testing.expect(lastIndexOf(u8, "one two three two four", "two").? == 14); | 958 | testing.expect(lastIndexOf(u8, "one two three two four", "two").? == 14); |
| 882 | testing.expect(indexOf(u8, "one two three four", "gour") == null); | 959 | testing.expect(indexOf(u8, "one two three four", "gour") == null); |