I need to write a code that takes a string input and turns it, or something to that effect, into a valid unary equation with addition to verify if it is valid. I'm confused, could anyone point me in the direction of understanding this?
An example would be:
111+1111=11111+1+1 is the statement 3+4=5+1+1 which is valid.
My other question would be how to use stacks to do unary operations.
If you are limited to this language then your can write a simple parser using a number of methods. You can first split your String
String[] parts = eqn.split("=");
Then split each part:
String[] left = parts[0].split("\\+");
String[] right = parts[1].split("\\+");
Now you can simply count the lengths of the strings:
int leftside = 0;
for (String l : left) {
leftside += l.length;
}
and so on for the right side and see if they are equal.
There are many other ways you can tackle this.
Basically you have to write a parser. You might want to use a character-by-character scanner, or use regexes or a generic tool such as ANTLR. It depends on your final goal and whether it is likely to change. Are you likely to have characters other than 1, +, =, for example?
My guess is this is homework. And I guess that you are expected to read character-by-character and push() each character on a stack. Then you have to pop() the stack when you encounter certain conditions.I'm not going to do this for you...
Another possible solution.
String input = "111+1111=11111+1+1";
String[] parts = input.split("=");
Pattern pattern = Pattern.compile("1");
Matcher matcherLeft = pattern.matcher(parts[0]);
Matcher matcherRight = pattern.matcher(parts[1]);
int leftTotal = 0;
while (matcherLeft.find())
leftTotal++;
int rightTotal = 0;
while (matcherRight.find())
rightTotal++;
if(leftTotal == rightTotal)
System.out.println("Valid");
else
System.out.println("Invalid");
Starts out by splitting the string in to the left and right side of the equations. Then simply counts the number of 1's in each part and does a comparison. There's definitely better ways to do this, but with this example it's pretty easy to see what is going on.
Related
I need to be able to turn a string, for instance "This and <those> are.", into a string array of the form ["This and ", "<those>", " are."]. I have been trying to using the String.split() command, and I've gotten this regex:
"(?=[<>])"
However, this just gets me ["This and ", "<those", "> are."]. I can't figure out a good regex to get the brackets all on the same element, and I also can't have spaces between those brackets. So for instance, "This and <hey there> are." Should be simply split to ["This and <hey there> are."]. Ideally I'd like to just rely solely on the split command for this operation. Can anyone point me in the right direction?
Not actually possible; given that the 'separator' needs to match 0 characters it needs to be all lookahead/lookbehind, and those require fixed-size lookups; you need to look ahead arbitrarily far into the string to know if a space is going to occur or not, thus, what you want? Impossible.
Just write a regexp that FINDS the construct you want, that's a lot simpler. Simply Pattern.compile("<\\w+>") (taking a select few liberties on what you intend a thing-in-brackets to look like. If truly it can be ANYTHING except spaces and the closing brace, "<[^ >]+>" is what you want).
Then, just loop through, finding as you go:
private static final Pattern TOKEN_FINDER = Pattern.compile("<\\w+>");
List<String> parse(String in) {
Matcher m = TOKEN_FINDER.matcher(in);
if (!m.find()) return List.of(in);
var out = new ArrayList<String>();
int pos = 0;
do {
int s = m.start();
if (s > pos) out.add(in.substring(pos, s));
out.add(m.group());
pos = m.end();
} while (m.find());
if (pos < in.length()) out.add(in.substring(pos));
return out;
}
Let's try it:
System.out.println(parse("This and <those> are."));
System.out.println(parse("This and <hey there> are."));
System.out.println(parse("<edgecase>2"));
System.out.println(parse("3<edgecase>"));
prints:
[This and , <those>, are.]
[This and <hey there> are.]
[<edgecase>]
[<edgecase>, 2]
[3, <edgecase>]
seems like what you wanted.
I'm really really really not sure what is the best way to approach this. I've gotten as far as I can, but I basically want to scan a user response with an array of words and search for matches so that my AI can tell what mood someone is in based off the words they used. However, I've yet to find a clear or helpful answer. My code is pretty cluttered too because of how many different methods I've tried to use. I either need a way to compare sections of arrays to each other or portions of strings. I've found things for finding a part of an array. Like finding eggs in green eggs and ham, but I've found nothing that finds a section of an array in a section of another array.
public class MoodCompare extends Mood1 {
public static void MoodCompare(String inputMood){
int inputMoodLength = inputMood.length();
int HappyLength = Arrays.toString(Happy).length();
boolean itWorks = false;
String[] inputMoodArray = inputMood.split(" ");
if(Arrays.toString(Happy).contains(Arrays.toString(inputMoodArray)) == true)
System.out.println("Success!");
InputMood is the data the user has input that should have keywords lurking in them to their mood. Happy is an array of the class Mood1 that is being extended. This is only a small piece of the class, much less the program, but it should be all I need to make a valid comparison to complete the class.
If anyone can help me with this, you will save me hours of work. So THANK YOU!!!
Manipulating strings will be nicer when you do not use the relative primitive arrays, where you have to walk through yourself etcetera. A Dutch proverb says: not seeing the wood through the trees.
In this case it seems you check words of the input against a set of words for some mood.
Lets use java collections:
Turning an input string into a list of words:
String input = "...";
List<String> sentence = Arrays.asList(input.split("\\W+"));
sentence.remove("");
\\W+ is a sequence of one or more non-word characters. Mind "word" mean A-Za-z0-9_.
Now a mood would be a set of unique words:
Set<String> moodWords = new HashSet<>();
Collections.addAll(moodWords, "happy", "wow", "hurray", "great");
Evaluation could be:
int matches = 0;
for (String word : sentence) {
if (moodWords.contains(word)) {
++matches;
}
}
int percent = sentence.isEmpty() ? 0 : matches * 100 / sentence.size();
System.out.printf("Happiness: %d %%%n", percent);
In java 8 even compacter.
int matches = sentence.stream().filter(moodWords::contains).count();
Explanation:
The foreach-word-in-sentence takes every word. For every word it checks whether it is contained in moodWords, the set of all mood words.
The percentage is taken over the number of words in the sentence being moody. The boundary condition of an empty sentence is handled by the if-then-else expression ... ? ... : ... - an empty sentence given the arbitrary percentage 0%.
The printf format used %d for the integer, %% for the percent sign % (self-escaped) and %n for the line break character(s).
If I'm understanding your question correctly, you mean something like this?
String words[] = {"green", "eggs", "and", "ham"};
String response = "eggs or ham";
Mood mood = new Mood();
for(String foo : words)
{
if(response.contains(foo))
{
//Check if happy etc...
if(response.equals("green")
mood.sad++;
...
}
}
System.out.println("Success");
...
//CheckMood() etc... other methods.
Try to use tokens.
Every time that the program needs to compare the contents of a row from one array to the other array, just tokenize the contents in parallel and compare them.
Visit the following Java Doc page for farther reference: http://docs.oracle.com/javase/7/docs/api/java/util/StringTokenizer.html
or even view the following web pages:
http://introcs.cs.princeton.edu/java/72regular/Tokenizer.java.html
I have a set of elements of size about 100-200. Let a sample element be X.
Each of the elements is a set of strings (number of strings in such a set is between 1 and 4). X = {s1, s2, s3}
For a given input string (about 100 characters), say P, I want to test whether any of the X is present in the string.
X is present in P iff for all s belong to X, s is a substring of P.
The set of elements is available for pre-processing.
I want this to be as fast as possible within Java. Possible approaches which do not fit my requirements:
Checking whether all the strings s are substring of P seems like a costly operation
Because s can be any substring of P (not necessarily a word), I cannot use a hash of words
I cannot directly use regex as s1, s2, s3 can be present in any order and all of the strings need to be present as substring
Right now my approach is to construct a huge regex out of each X with all possible permutations of the order of strings. Because number of elements in X <= 4, this is still feasible. It would be great if somebody can point me to a better (faster/more elegant) approach for the same.
Please note that the set of elements is available for pre-processing and I want the solution in java.
You can use regex directly:
Pattern regex = Pattern.compile(
"^ # Anchor search to start of string\n" +
"(?=.*s1) # Check if string contains s1\n" +
"(?=.*s2) # Check if string contains s2\n" +
"(?=.*s3) # Check if string contains s3",
Pattern.DOTALL | Pattern.COMMENTS);
Matcher regexMatcher = regex.matcher(subjectString);
foundMatch = regexMatcher.find();
foundMatch is true if all three substrings are present in the string.
Note that you might need to escape your "needle strings" if they could contain regex metacharacters.
It sounds like you're prematurely optimising your code before you've actually discovered a particular approach is actually too slow.
The nice property about your set of strings is that the string must contain all elements of X as a substring -- meaning we can fail fast if we find one element of X that is not contained within P. This might turn out a better time saving approach than others, especially if the elements of X are typically longer than a few characters and contain no or only a few repeating characters. For instance, a regex engine need only check 20 characters in 100 length string when checking for the presence of a 5 length string with non-repeating characters (eg. coast). And since X has 100-200 elements you really, really want to fail fast if you can.
My suggestion would be to sort the strings in order of length and check for each string in turn, stopping early if one string is not found.
Looks like a perfect case for the Rabin–Karp algorithm:
Rabin–Karp is inferior for single pattern searching to Knuth–Morris–Pratt algorithm, Boyer–Moore string search algorithm and other faster single pattern string searching algorithms because of its slow worst case behavior. However, Rabin–Karp is an algorithm of choice for multiple pattern search.
When the preprocessing time doesn't matter, you could create a hash table which maps every one-letter, two-letter, three-letter etc. combination which occurs in at least one string to a list of strings in which it occurs.
The algorithm to index a string would look like that (untested):
HashMap<String, Set<String>> indexes = new HashMap<String, Set<String>>();
for (int pos = 0; pos < string.length(); pos++) {
for (int sublen=0; sublen < string.length-pos; sublen++) {
String substring = string.substr(pos, sublen);
Set<String> stringsForThisKey = indexes.get(substring);
if (stringsForThisKey == null) {
stringsForThisKey = new HashSet<String>();
indexes.put(substring, stringsForThisKey);
}
stringsForThisKey.add(string);
}
}
Indexing each string that way would be quadratic to the length of the string, but it only needs to be done once for each string.
But the result would be constant-speed access to the list of strings in which a specific string occurs.
You are probably looking for Aho-Corasick algorithm, which constructs an automata (trie-like) from the set of strings (dictionary), and try to match the input string to the dictionary using this automata.
You might want to consider using a "Suffix Tree" as well. I haven't used this code, but there is one described here
I have used proprietary implementations (that I no longer even have access to) and they are very fast.
One way is to generate every possible substring and add this to a set. This is pretty inefficient.
Instead you can create all the strings from any point to the end into a NavigableSet and search for the closest match. If the closest match starts with the string you are looking for, you have a substring match.
static class SubstringMatcher {
final NavigableSet<String> set = new TreeSet<String>();
SubstringMatcher(Set<String> strings) {
for (String string : strings) {
for (int i = 0; i < string.length(); i++)
set.add(string.substring(i));
}
// remove duplicates.
String last = "";
for (String string : set.toArray(new String[set.size()])) {
if (string.startsWith(last))
set.remove(last);
last = string;
}
}
public boolean findIn(String s) {
String s1 = set.ceiling(s);
return s1 != null && s1.startsWith(s);
}
}
public static void main(String... args) {
Set<String> strings = new HashSet<String>();
strings.add("hello");
strings.add("there");
strings.add("old");
strings.add("world");
SubstringMatcher sm = new SubstringMatcher(strings);
System.out.println(sm.set);
for (String s : "ell,he,ow,lol".split(","))
System.out.println(s + ": " + sm.findIn(s));
}
prints
[d, ello, ere, hello, here, ld, llo, lo, old, orld, re, rld, there, world]
ell: true
he: true
ow: false
lol: false
Let's say I have-
String x = "ab";
String y = "xypa";
If I want to see if any subset of x exists in y, what would be the fastest way? Looping is time consuming. In the example above a subset of x is "a" which is found in y.
The answer really depends on many things.
If you just want to find any subset and you're doing this only once, looping is just fine (and the best you can do without using additional storage) and you can stop when you find a single character that matches.
If you have a fixed x and want to use it for matching several strings y, you can do some pre-processing to store the characters in x in a table and use this table to check if each character of y occurs in x or not.
If you want to find the largest subset, then you're looking at a different problem: the longest common subsequence problem.
Well, I'm not sure it's better than looping, but you could use String#matches:
if (y.matches(".*[" + x + "]+.*")) ...
You'd need to escape characters that are special in a regex [] construct, though (like ], -, \, ...).
The above is just an example, if you're doing it more than once, you'll want to use Pattern, Matcher, and the other stuff from the java.util.regex package.
You have to use for loop or use regex which is just as expensive as a for loop, becasue you need to convert one of your strings into chars basically.
Boolean isSubset = false;
for(int i = 0; i < x.length(); i++) {
if(y.contains(x.charAt(i))) {
isSubset = true;
break;
}
}
using a for loop.
It looks like this could be a case of the longest common substring problem.
You can generate all subsets of x (e.g. , in your example, ab, a, b) and then generate a regexp that would do the
Pattern p = Pattern.compile("(ab|a|b)");
Matcher m = p.matcher(y);
if(m.find()) {
System.err.println(m.group());
}
If both Strings will only contain [a-z]. Then fastest would be to make two bitmaps, 26 bits longs. Mark all the bits contained in the String. Take the AND of the bitmaps, the resulting bits are present in both Strings, the largest common subset. This would be a simple O(n) with n the length of the biggest String.
(If you want to cover the whole lot of UTF, bloom filters might be more appropriate. )
Looping is time-consuming, but there's no way to do what you want other than going over the target string repeatedly.
What you can do is optimize by checking the smallest strings first, and work your way up. For example, if the target string doesn't contain abc, it can't possibly contain abcdef.
Other optimizations off the top of my head:
Don't continue to check for a match after a non-matching character is hit, though in Java you can let the computer worry about this.
Don't check to see if something is a match if there aren't enough characters left in the target string for a match to be possible.
If you need speed and have lots of space, you might be able to break the target string up into a fancy data structure like a trie for better results, though I don't have an exact algorithm in mind.
Another storage-is-not-a-problem solution: decompose the target into every possible substring and store the results in a HashSet.
What about this:?
package so3935620;
import static org.junit.Assert.*;
import java.util.BitSet;
import org.junit.Test;
public class Main {
public static boolean overlap(String s1, String s2) {
BitSet bs = new BitSet();
for (int i = 0; i < s1.length(); i++) {
bs.set(s1.charAt(i));
}
for (int i = 0; i < s2.length(); i++) {
if (bs.get(s2.charAt(i))) {
return true;
}
}
return false;
}
#Test
public void test() {
assertFalse(overlap("", ""));
assertTrue(overlap("a", "a"));
assertFalse(overlap("abcdefg", "ABCDEFG"));
}
}
And if that version is too slow, you can compute the BitSet depending on s1, save that in some variable and later only loop over s2.
How can I identify strings containing more digits than non-digits using regular expression (Pattern) in Java? Thank you.
That's not a regular language, and thus it cannot be captured by a vanilla regex. It may be possible anyway, but it will almost certainly be easier not to use a regex:
public static boolean moreDigitsThanNonDigits(String s) {
int diff = 0;
for(int i = 0; i < s.length(); ++i) {
if(Character.isDigit(s.charAt(i))) ++diff;
else --diff;
}
return diff > 0;
}
You won't be able to write a regexp that does this. But you already said you're using Java, why not mix in a little code?
public boolean moreDigitsThanNonDigits(String input) {
String nonDigits = input.replace("[0-9]","");
return input.length() > (nonDigits.length * 2);
}
Regular expressions are conceptually not able to preform such a task. They are equivalent to formal languages or (regular) automatons. They have no notion of memory (or a stack), so they cannot count the occurences of symbols. The next extension in terms of expressiveness are push-down automatons (or stack machines), which correspond to context free grammars. Before writing such a grammer for this task, using a method like the moreDigitsThanNonDigits above would be appropriate.
As already mentioned the language in question is not regular and cannot be detected using a regular expression.
I'll give you one more way of counting the number of digits and number of non-digits in a string using regex!!
You can use the String.replaceAll method to delete all non-digits in the input string. The length of the resultant string will be the number of digits in the input.
Similarly you can delete all the digits in the input string and the length of the resultant string will be the number of non-digits in the input string.
public static boolean test(String str) {
int numDigits = str.replaceAll("\\D","").length();
int numNonDigits = str.replaceAll("\\d","").length();
return numDigits > numNonDigits;
}
Ideone Link
I'm not sure that using regular expressions would be the best solution here.
regex alone can't (since they don't count anything); but if you want to use them then just use two replacements: one that strips out all the digits and one that only keeps them. then compare string lengths of the results.
of course, i'd rather use Dave's answer.