Joh*_*ich 10 ruby algorithm search substring
有人能够确定哪个算法用于包含?Ruby中的方法?例如
"helloworld".include?("hello")
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rdv*_*ijk 11
作为浮雕陈述在他的回答,String#include电话rb_str_index.根据这篇文章,这个函数依次调用rb_memsearch,它实现了 Rabin-Karp字符串搜索算法.ruby-forum.com
Ruby语言规范没有规定任何特定的算法.每个实现都可以使用他们想要的算法.
例如,在Rubinius中,String#include?调用String#find_string:
def include?(needle)
if needle.kind_of? Fixnum
needle = needle % 256
str_needle = needle.chr
else
str_needle = StringValue(needle)
end
!!find_string(str_needle, 0)
end
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String#find_string反过来通过string_index原语实现:
def find_string(pattern, start)
Rubinius.primitive :string_index
raise PrimitiveFailure, "String#find_string failed"
end
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该string_index原语由实现rubinius::String::index功能:
// Rubinius.primitive :string_index
Fixnum* index(STATE, String* pattern, Fixnum* start);
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Fixnum* String::index(STATE, String* pattern, Fixnum* start) {
native_int total = size();
native_int match_size = pattern->size();
if(start->to_native() < 0) {
Exception::argument_error(state, "negative start given");
}
switch(match_size) {
case 0:
return start;
case 1:
{
uint8_t* buf = byte_address();
uint8_t matcher = pattern->byte_address()[0];
for(native_int pos = start->to_native(); pos < total; pos++) {
if(buf[pos] == matcher) return Fixnum::from(pos);
}
}
return nil<Fixnum>();
default:
{
uint8_t* buf = byte_address();
uint8_t* matcher = pattern->byte_address();
uint8_t* last = buf + (total - match_size);
uint8_t* pos = buf + start->to_native();
while(pos <= last) {
// Checking *pos directly then also checking memcmp is an
// optimization. It's about 10x faster than just calling memcmp
// everytime.
if(*pos == *matcher &&
memcmp(pos, matcher, match_size) == 0) {
return Fixnum::from(pos - buf);
}
pos++;
}
}
return nil<Fixnum>();
}
}
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这是实际执行String#include?:
static VALUE
rb_str_include(VALUE str, VALUE arg)
{
long i;
StringValue(arg);
i = rb_str_index(str, arg, 0);
if (i == -1) return Qfalse;
return Qtrue;
}
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因此,使用的实际算法可以在rb_str_index中找到.
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