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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def oridam_generate_patterns(word_in,cm,ed=1,level=0,pos=0,candidates=None):
 """ ed = 1 by default, pos - internal variable for algorithm """

    alternates = cm.get(word_in[pos],[])
    if not candidates:
        candidates = []
    assert ed <= len(word_in), 'edit distance has to be comparable to word size [ins/del not explored]'
    if (pos >len(word_in)) or ed == 0:
        return candidates
    pfx = ''
    sfx = ''
    curr_candidates = []
    for p in range(0,pos):
        pfx = pfx + word_in[p]
    for p in range(pos+1,len(word_in)):
        sfx = sfx + word_in[p]
    for alt in alternates:
        word_alt = pfx + alt + sfx
        if not (word_alt in candidates):
            candidates.append( word_alt )
            curr_candidates.append( word_alt )
    for n_pos in range(pos,len(word_in)):
        # already what we have ' candidates ' of this round are edit-distance 1
        for word in curr_candidates:
            oridam_generate_patterns(word,cm,ed-1,level+1,n_pos,candidates)
    if level == 0:
        #candidates.append(word_in)
        for n_pos in range(pos,len(word_in)):
            oridam_generate_patterns(word_in,cm,ed, level+1,n_pos,candidates)
    return candidates