32 lines
815 B
Python
32 lines
815 B
Python
|
""" Test fast_dict.
|
||
|
|
"""
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
from sklearn.utils._fast_dict import IntFloatDict, argmin
|
||
|
|
|
||
|
|
|
||
|
|
def test_int_float_dict():
|
||
|
|
rng = np.random.RandomState(0)
|
||
|
|
keys = np.unique(rng.randint(100, size=10).astype(np.intp))
|
||
|
|
values = rng.rand(len(keys))
|
||
|
|
|
||
|
|
d = IntFloatDict(keys, values)
|
||
|
|
for key, value in zip(keys, values):
|
||
|
|
assert d[key] == value
|
||
|
|
assert len(d) == len(keys)
|
||
|
|
|
||
|
|
d.append(120, 3.)
|
||
|
|
assert d[120] == 3.0
|
||
|
|
assert len(d) == len(keys) + 1
|
||
|
|
for i in range(2000):
|
||
|
|
d.append(i + 1000, 4.0)
|
||
|
|
assert d[1100] == 4.0
|
||
|
|
|
||
|
|
|
||
|
|
def test_int_float_dict_argmin():
|
||
|
|
# Test the argmin implementation on the IntFloatDict
|
||
|
|
keys = np.arange(100, dtype=np.intp)
|
||
|
|
values = np.arange(100, dtype=np.float64)
|
||
|
|
d = IntFloatDict(keys, values)
|
||
|
|
assert argmin(d) == (0, 0)
|