forked from benevolentprof/inf1340_2015_asst3
-
Notifications
You must be signed in to change notification settings - Fork 0
/
test_exercise1.py
156 lines (116 loc) · 3.65 KB
/
test_exercise1.py
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
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
#!/usr/bin/env python
""" Assignment 3, Exercise 1, INF1340, Fall, 2015. DBMS
Test module for exercise3.py
"""
__author__ = 'Bertha Chan & Philips Xue'
from exercise1 import selection, projection, cross_product, UnknownAttributeException
###########
# TABLES ##
###########
# Create a table for test case purpose
EMPLOYEES = [["Surname", "FirstName", "Age", "Salary"],
["Smith", "Mary", 25, 2000],
["Black", "Lucy", 40, 3000],
["Verdi", "Nico", 36, 4500],
["Smith", "Mark", 40, 3900]]
EMPLOYEES_EMPTY = [["Surname", "FirstName," "Age", "Salary"]]
# Create a table for test case purpose
MANAGERS = [["Number", "Surname", "Age"],
[2200, "Rob",35],
["Surname", "Katherine", 44],
[3984, "Sara", 22]]
# Created a table for test case purpose
R1 = [["Employee", "Department"],
["Smith", "sales"],
["Black", "production"],
["White", "production"]]
R2 = [["Department", "Head"],
["production", "Mori"],
["sales", "Brown"]]
R3 = [["A", "B"]]
R4 = [["G", "H"]]
# Create a empty string
EMPTY = []
#####################
# HELPER FUNCTIONS ##
#####################
def is_equal(t1, t2):
t1.sort()
t2.sort()
return t1 == t2
#####################
# FILTER FUNCTIONS ##
#####################
def filter_employees(row):
"""
Check if employee represented by row
is AT LEAST 30 years old and makes
MORE THAN 3500.
:param row: A List in the format:
[{Surname}, {FirstName}, {Age}, {Salary}]
:return: True if the row satisfies the condition.
"""
return row[-2] >= 30 and row[-1] > 3500
###################
# TEST FUNCTIONS ##
###################
def test_selection():
"""
Test select operation.
"""
result = [["Surname", "FirstName", "Age", "Salary"],
["Verdi", "Nico", 36, 4500],
["Smith", "Mark", 40, 3900]]
assert is_equal(result, selection(EMPLOYEES, filter_employees))
assert selection(MANAGERS, filter_employees) is None
def test_selection_empty_list():
"""
Return None for an empty table
"""
assert selection(EMPLOYEES_EMPTY, filter_employees) is None
def test_projection():
"""
Test projection operation.
"""
result = [["Surname", "FirstName"],
["Smith", "Mary"],
["Black", "Lucy"],
["Verdi", "Nico"],
["Smith", "Mark"]]
result_2 = [["Surname"],
["Smith"],
["Black"],
["Verdi"],
["Smith"]]
assert is_equal(result, projection(EMPLOYEES, ["Surname", "FirstName"]))
assert is_equal(result_2, projection(EMPLOYEES, ["Surname"]))
assert projection(R3, []) is None
def test_projection_error():
"""
Test if there is no attribute matched found
"""
try:
projection(EMPLOYEES, ["No_Name"])
except UnknownAttributeException:
assert True
def test_cross_product():
"""
Test cross product operation.
"""
result = [["Employee", "Department", "Department", "Head"],
["Smith", "sales", "production", "Mori"],
["Smith", "sales", "sales", "Brown"],
["Black", "production", "production", "Mori"],
["Black", "production", "sales", "Brown"],
["White", "production", "production", "Mori"],
["White", "production", "sales", "Brown"]]
assert is_equal(result, cross_product(R1, R2))
assert cross_product(R3, R4) is None
def test_cross_product_error():
"""
Test if there is no attribute matched found
"""
try:
projection(R1, EMPTY)
except UnknownAttributeException:
assert True