|
1
|
|
|
# Author: Simon Blanke |
|
2
|
|
|
# Email: [email protected] |
|
3
|
|
|
# License: MIT License |
|
4
|
|
|
|
|
5
|
|
|
import pytest |
|
6
|
|
|
import numpy as np |
|
7
|
|
|
import pandas as pd |
|
8
|
|
|
from pandas.testing import assert_frame_equal |
|
9
|
|
|
|
|
10
|
|
|
from optimization_metadata.memory_conv import convert_dataframe |
|
11
|
|
|
|
|
12
|
|
|
|
|
13
|
|
View Code Duplication |
def test_convert_dataframe1(): |
|
|
|
|
|
|
14
|
|
|
array = np.reshape(np.arange(20), (10, 2)) |
|
15
|
|
|
df1 = pd.DataFrame(array, columns=["x1", "x2"]) |
|
16
|
|
|
|
|
17
|
|
|
search_space1 = { |
|
18
|
|
|
"x1": list(np.arange(20)), |
|
19
|
|
|
"x2": list(np.arange(20)), |
|
20
|
|
|
} |
|
21
|
|
|
search_space2 = { |
|
22
|
|
|
"x1": list(np.arange(20)), |
|
23
|
|
|
"x2": list(np.arange(20)), |
|
24
|
|
|
} |
|
25
|
|
|
df2 = convert_dataframe(df1, search_space1, search_space2) |
|
26
|
|
|
|
|
27
|
|
|
assert_frame_equal(df1, df2, check_dtype=False) |
|
28
|
|
|
|
|
29
|
|
|
|
|
30
|
|
View Code Duplication |
def test_convert_dataframe2(): |
|
|
|
|
|
|
31
|
|
|
array = np.reshape(np.arange(20), (10, 2)) |
|
32
|
|
|
df1 = pd.DataFrame(array, columns=["x1", "x2"]) |
|
33
|
|
|
|
|
34
|
|
|
search_space1 = { |
|
35
|
|
|
"x1": list(np.arange(20)), |
|
36
|
|
|
"x2": list(np.arange(20)), |
|
37
|
|
|
} |
|
38
|
|
|
search_space2 = { |
|
39
|
|
|
"x1": list(np.arange(5)), |
|
40
|
|
|
"x2": list(np.arange(20)), |
|
41
|
|
|
} |
|
42
|
|
|
df2 = convert_dataframe(df1, search_space1, search_space2) |
|
43
|
|
|
|
|
44
|
|
|
with pytest.raises(Exception): |
|
45
|
|
|
assert_frame_equal(df1, df2, check_dtype=False) |
|
46
|
|
|
|
|
47
|
|
|
|
|
48
|
|
View Code Duplication |
def test_convert_dataframe3(): |
|
|
|
|
|
|
49
|
|
|
array = np.reshape(np.arange(20), (10, 2)) |
|
50
|
|
|
df1 = pd.DataFrame(array, columns=["x1", "x2"]) |
|
51
|
|
|
|
|
52
|
|
|
search_space1 = { |
|
53
|
|
|
"x1": list(np.arange(20)), |
|
54
|
|
|
"x2": list(np.arange(20)), |
|
55
|
|
|
} |
|
56
|
|
|
search_space2 = { |
|
57
|
|
|
"x1": list(np.arange(20)), |
|
58
|
|
|
# "x2": list(np.arange(20)), |
|
59
|
|
|
} |
|
60
|
|
|
df2 = convert_dataframe(df1, search_space1, search_space2) |
|
61
|
|
|
|
|
62
|
|
|
df1.drop("x2", axis=1, inplace=True) |
|
63
|
|
|
|
|
64
|
|
|
assert_frame_equal(df1, df2, check_dtype=False) |
|
65
|
|
|
|
|
66
|
|
|
|
SimonBlanke /
Optimization-Metadata
Loading history...