def cluster_ingredients()

in src/utils/recipe1m_utils.py [0:0]

• 32 lines of code
• 11 McCabe index (conditional complexity)

def cluster_ingredients(counter_ingrs):
    mydict = dict()
    mydict_ingrs = dict()

    for k, v in counter_ingrs.items():

        w1 = k.split('_')[-1]
        w2 = k.split('_')[0]
        lw = [w1, w2]
        if len(k.split('_')) > 1:
            w3 = k.split('_')[0] + '_' + k.split('_')[1]
            w4 = k.split('_')[-2] + '_' + k.split('_')[-1]

            lw = [w1, w2, w4, w3]

        gotit = 0
        for w in lw:
            if w in counter_ingrs.keys():
                # check if its parts are
                parts = w.split('_')
                if len(parts) > 0:
                    if parts[0] in counter_ingrs.keys():
                        w = parts[0]
                    elif parts[1] in counter_ingrs.keys():
                        w = parts[1]
                if w in mydict.keys():
                    mydict[w] += v
                    mydict_ingrs[w].append(k)
                else:
                    mydict[w] = v
                    mydict_ingrs[w] = [k]
                gotit = 1
                break
        if gotit == 0:
            mydict[k] = v
            mydict_ingrs[k] = [k]

    return mydict, mydict_ingrs