fakeish 0.3.0

Faker but fast and dumb instead of slow and smart

fakeish

faker but fast and dumb instead of slow and smart

Usage

To generate random but possibly overlapping data:

from fakeish import Fakeish

f = Fakeish()
rand_ssn = f.ssn()

In order to generate data that is both random and non-overlapping, however, some light configuration is needed. The following code will

f = Fakeish()
f.configure_unique_samples_list("ssn", 50)

non_overlapping_ssns = [f.unique.ssn() for i in range(50)]

Configuration sample type can also be any of the following: emails, first_names, first_names_male, first_names_female, last_names, names, names_male, names_female.

In order to generate the same random data each time, the Fakeish object can be seeded:

f = Fakeish()
f.seed(<int>)
# configure / generate data here