-
Notifications
You must be signed in to change notification settings - Fork 2
/
analyze_results.go
115 lines (103 loc) · 2.6 KB
/
analyze_results.go
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
package main
import (
"encoding/csv"
"fmt"
"io"
"os"
"strconv"
)
type Options map[string]int
type Subjects map[string]Options
type Instances map[string]Subjects
var dataset map[string]Instances
func addToDataset(record []string) {
entity := record[0]
instance := record[1]
subject := record[2]
option := record[3]
score, _ := strconv.Atoi(record[4])
_, ok := dataset[entity]
if !ok {
dataset[entity] = make(map[string]Subjects)
}
_, ok = dataset[entity][instance]
if !ok {
dataset[entity][instance] = make(map[string]Options)
}
_, ok = dataset[entity][instance][subject]
if !ok {
dataset[entity][instance][subject] = make(map[string]int)
}
dataset[entity][instance][subject][option] = score
}
func getDist(options_1, options_2 Options) int {
dist := 0
for option, score := range options_1 {
if score > options_2[option] {
dist = dist + score - options_2[option]
} else {
dist = dist + options_2[option] - score
}
}
dist = dist / 2
return dist
}
func findNearest(subjects Subjects, subject string) string {
_, ok := subjects[subject]
if !ok {
return ""
}
nearest_dist := 100
nearest := ""
for s, options := range subjects {
if s != subject {
current_dist := getDist(options, subjects[subject])
if current_dist < nearest_dist {
nearest_dist = current_dist
nearest = s
}
}
}
return nearest
}
func main() {
dataset = make(map[string]Instances)
file, err := os.Open("cvpr_db_results.csv")
if err != nil {
fmt.Println("Error: ", err)
return
}
defer file.Close()
reader := csv.NewReader(file)
for {
record, err := reader.Read()
if err == io.EOF {
break
} else if err != nil {
fmt.Println("Error: ", err)
return
}
addToDataset(record)
}
// known_subjects := []string{"ACTION", "FLUENT", "COMPUTER", "COMPUTER_DURATION"}
known_subjects := []string{"causalgrammar"}
for entity, instances := range dataset {
for instance, subjects := range instances {
for _, known_subject := range known_subjects {
_, ok := subjects[known_subject]
if !ok {
fmt.Println("*** KNOWN SUBJECT ", known_subject, " NOT KNOWN FOR INSTANCE ", instance)
continue
}
nearest_subject := findNearest(subjects, known_subject)
if nearest_subject != "" {
fmt.Println("Entity:", entity, "Instance:", instance, known_subject, "\b:", subjects[known_subject], "NearestHuman:", subjects[nearest_subject])
} else {
fmt.Println("--- Entity:", entity, "Instance:", instance, known_subject, "\b: NOT FOUND")
fmt.Println("---- Known:", subjects[known_subject])
fmt.Println("---- All:", subjects)
}
}
}
}
}