def test_pertenencia(N, provinces):
for province in provinces:
muestra = g08.generar_muestra_provincia(N // 4, province)
for persona in muestra:
assert (persona[32] == province)
def test_provincia_100(N, indicators):
g08.testing = True
g08.riggedRandom = 100
muestra = g08.generar_muestra_provincia(N, "CARTAGO")
for i in range(len(indicators)):
assert (g08.show_percentages_indicator(muestra, indicators[i]) == 1.0)
def test_provincia_90(N, indicators, r):
g08.testing = True
g08.riggedRandom = 90
muestra = g08.generar_muestra_provincia(N, "HEREDIA")
for i in range(len(indicators)):
assert (0.9 - r < g08.show_percentages_indicator(
muestra, indicators[i]) < 0.9 + r)
def test_provincia_50(N, indicators, r):
g08.testing = True
g08.riggedRandom = 50
muestra = g08.generar_muestra_provincia(N, "ALAJUELA")
for i in range(len(indicators)):
assert (0.5 - r < g08.show_percentages_indicator(
muestra, indicators[i]) < 0.5 + r)
def averge(n): corridas_pais = [] result = [] keys = [] for i in range(10): if actual!="Pais": keys, values = show_percentages(generar_muestra_provincia(n, actual.upper())) elif actual=="Pais": keys, values = show_percentages(generar_muestra_pais(n)) corridas_pais.append(values) corridas_pais = average_aux(corridas_pais) return keys, corridas_pais
def gen_dataset(n, provincia, sample_type=1):
"""
Generates the working dataset
"""
result = None
if provincia != "PAIS":
result = g08.generar_muestra_provincia(n,provincia,sample_type)
else:
result = g08.generar_muestra_pais(n,sample_type)
return result