sensitivity_analysis | Morrris , Campolongo and others ' approach | Data Visualization library

from itertools import permutations, product


def sensitivity_analysis(a,b):
    length_a=len(a.keys())
    length_b=len(b.keys())
    items_a=list(a.keys())
    items_b=list(b.keys())
    a_variants = [dict(zip(items_a, values)) 
                 for values in product((list(p) for p in permutations(items_b)), repeat=length_a)]
    b_variants = [dict(zip(items_b, values)) 
                 for values in product((list(v) for v in permutations(items_a)), repeat=length_b)]

    all_variants = product(a_variants, b_variants)
    contains_a=[]
    contains_b=[]
    for i,j in all_variants:
        contains_a.append(i)
        contains_b.append(j)
    return contains_a,contains_b

def insert_dummies(a,b):
  length_a=len(a.keys())
  length_b=len(b.keys())
  items_a=list(a.keys())
  items_b=list(b.keys())
  dummy_list=[]
  if length_a>length_b:
    dummy_number=length_a-length_b
    nummer=1
    while nummerf:
        a.setdefault(i,[]).append(dummy_list[f])
        f=f+1
    n=0    
    while n<(dummy_number):
      for z in dummy_list:
        b[z]=items_a
        n=n+1
  if length_af:
        b.setdefault(i,[]).append(dummy_list[f])
        f=f+1
    n=0    
    while n<(dummy_number):
      for z in dummy_list:
        a[z]=items_b
        n=n+1
    else:
        return

  return a,b

ab={"kart":["marie","alice"],
"vinod":["alice","marie"],
"jordan":["marie","alice"],
"joe":["marie","alice"]}
ba={"alice":["kart","vinod","joe","jordan"],
"marie":["kart","vinod","jordan","joe"]}

thelist1=sensitivity_analysis(ab,ba)[0]
thelist2=sensitivity_analysis(ab,ba)[1]
insert_dummies(thelist1[0],thelist2[0])