def generate_synthetic_names(n_synth):
n_faker = min(round(n_synth / 2),
700) # reduce repetitions, faker come from limited dataset
n_gibberish = n_synth - n_faker
synth_list = []
fake = Faker()
for _ in range(n_faker):
# faker returns brands composed of multiple last names, just return first (may include hyphens)
name = fake.company().replace(",", "").split()[0]
if random.random() < 0.5:
name = name.lower()
if ("-" in name) and (random.random() < 0.5):
name = name.replace("-", " ")
synth_list.append(name)
gib = Gibberish()
for _ in range(n_gibberish):
# gibberish returns uncapitalized gibberish, by default begins and ends with consonants
type_of_gibberish = random.random()
if type_of_gibberish < 0.25:
name = gib.generate_word(start_vowel=True)
elif type_of_gibberish < 0.5:
name = gib.generate_word(end_vowel=True)
elif type_of_gibberish < 0.75:
name = gib.generate_word()
else:
name = gib.generate_word(2, start_vowel=True, end_vowel=True)
add_gibberish = random.random()
if add_gibberish < 0.1:
name += " " + gib.generate_word()
if random.random() < 0.5:
name = name.title()
synth_list.append(name)
random.shuffle(synth_list)
return synth_list
