fieldnames = list(F.getPerson().keys())
# these keys will be considered "important", and reliably typo-free
safeKeys = ["ssn", "sex", "bloodType"]
typoProbability = 0.025
numPeopleWithTypos = 0
totNumTypos = 0
totYield = 0
with open(outputCsvPath, "w") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for p in F.getPeople(numPeople):
totYield += 1
typoGiven = False
for k, v in p.items():
if k not in safeKeys and type(v) == type(""):
if rd.random() < typoProbability:
typoGiven = True
idxs = set()
numTypos = rd.randint(1, min(2, len(v)))
totNumTypos += numTypos
while len(idxs) < numTypos:
idxs.add(rd.randint(0, len(v) - 1))
# print(p[k],'-->',end=' ')
newVal = list(p[k])
