-
Notifications
You must be signed in to change notification settings - Fork 17
Expand file tree
/
Copy pathcheck_nat_val_test.py
More file actions
102 lines (95 loc) · 2.38 KB
/
Copy pathcheck_nat_val_test.py
File metadata and controls
102 lines (95 loc) · 2.38 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
from codonPython.check_nat_val import check_nat_val
import pytest
import pandas as pd
df = pd.DataFrame({
"Breakdown" : [
'National', 'CCG', 'CCG', 'Provider', 'Provider',
'National' ,'CCG', 'CCG', 'Provider', 'Provider',
'National' ,'CCG', 'CCG', 'Provider', 'Provider',
],
"measure" : [
'm1', 'm1', 'm1', 'm1', 'm1',
'm2', 'm2', 'm2', 'm2', 'm2',
'm3', 'm3', 'm3', 'm3', 'm3',
],
"Value_Unsuppressed" : [
9, 4, 5, 3, 6,
11, 2, 9, 7, 4,
9, 5, 4, 6, 3
],
})
@pytest.mark.parametrize("df, breakdown_col, measure_col, value_col, nat_val, expected", [
(
df,
"Breakdown",
"measure",
"Value_Unsuppressed",
"National",
True
),
])
def test_BAU(df, breakdown_col, measure_col, value_col, nat_val, expected):
assert check_nat_val(
df,
breakdown_col=breakdown_col,
measure_col=measure_col,
value_col=value_col,
nat_val=nat_val,
) == expected
@pytest.mark.parametrize("df, breakdown_col, measure_col, value_col, nat_val", [
(
df,
"Breakdown",
23, # Not a string
"Value_Unsuppressed",
"National",
),
(
df,
0.1, # Not a string
"Measure",
"Value_Unsuppressed",
"National",
),
(
df,
"Breakdown",
"Measure",
pd.DataFrame({"wrong" : [1, 2, 3]}), # Not a string
"National",
),
(
df,
"Breakdown",
"Measure",
"Value_Unsuppressed",
set({"m1", "m2"}), # Not a string
),
])
def test_ValueErrors(df, breakdown_col, measure_col, value_col, nat_val):
with pytest.raises(ValueError):
check_nat_val(
df,
breakdown_col=breakdown_col,
measure_col=measure_col,
value_col=value_col,
nat_val=nat_val,
)
@pytest.mark.parametrize("df, breakdown_col, measure_col, value_col, nat_val", [
(
df,
"Breakdown",
"measure",
"Wrong_Column",
"National",
)
])
def test_KeyErrors(df, breakdown_col, measure_col, value_col, nat_val):
with pytest.raises(KeyError):
check_nat_val(
df,
breakdown_col=breakdown_col,
measure_col=measure_col,
value_col=value_col,
nat_val=nat_val,
)