pythontoken

Find tokens that are connected


I wrote code that gets text-tokens as input:

tokens = ["Tap-", "Berlin", "Was-ISt", "das", "-ist", "cool", "oh", "Man", "-Hum", "-Zuh-UH-", "glit"]

The code should find all tokens that contain hyphens or are connected to each other with hyphens: Basically the output should be:

[["Tap-", "Berlin"], ["Was-ISt"], ["das", "-ist"], ["Man", "-Hum", "-Zuh-UH-", "glit"]]

I wrote a code, but somehow Im not getting the with hypens connected Tokens back: To try it out: http://goo.gl/iqov0q

def find_hyphens(self):
    tokens_with_hypens =[]


    for i in range(len(self.tokens)):

        hyp_leng = 0

        while self.hypen_between_two_tokens(i + hyp_leng):
            hyp_leng += 1

        if self.has_hypen_in_middle(i) or hyp_leng > 0:
            if hyp_leng == 0:
                tokens_with_hypens.append(self.tokens[i:i + 1])
            else:
                tokens_with_hypens.append(self.tokens[i:i + hyp_leng])
                i += hyp_leng - 1

    return tokens_with_hypens

What do I wrong? Is there a more performant solution? Thanks


Solution

  • I found 3 mistakes in your code:

    1. You are comparing the last 2 characters of tok1 here, rather than the last of tok1 and the first of tok2:

       if "-" in joined[len(tok1) - 2: len(tok1)]:
       # instead, do this:
       if "-" in joined[len(tok1) - 1: len(tok1) + 1]:
      
    2. You are omitting the last matching token here. Increase the end-index of your slice here by 1:

       tokens_with_hypens.append(self.tokens[i:i + hyp_leng])
       # instead, do this:
       tokens_with_hypens.append(self.tokens[i:i + 1 + hyp_leng])
      
    3. You cannot manipulate the index of a for i in range loop in python. the next iteration will just retrieve the next index, overwriting your change. Instead, you could use a while-loop like this:

       i = 0
       while i < len(self.tokens):
           [...]
           i += 1
      

    These 3 corrections lead to your test passing


    Nonetheless I couldn't resist to write an algorithm from scratch, solving your problem as simple as possible:

    def get_hyphen_groups(tokens):
        i_start, i_end = 0, 1
        while i_start < len(tokens):
            while (i_end < len(tokens) and
                  (tokens[i_end].startswith("-") ^ tokens[i_end - 1].endswith("-"))):
                i_end += 1
            yield tokens[i_start:i_end]
            i_start, i_end = i_end, i_end + 1
        
        
    tokens = ["Tap-", "Berlin", "Was-ISt", "das", "-ist", "cool", "oh", "Man", "-Hum", "-Zuh-UH-", "glit"]
    
    for group in get_hyphen_groups(tokens):
        print ("".join(group))
    

    To exclude 1-element-groups, like in your expected result, wrap the yield into this if:

    if i_end - i_start > 1:
        yield tokens[i_start:i_end]
    

    To include 1-element-groups that already include a hyphen, change that if to this for example:

    if i_end - i_start > 1 or "-" in tokens[i_start]:
        yield tokens[i_start:i_end]