Coming from a language that uses array (PHP) and only 3 days of experience in golang, how can I translate a multi-dimensional array assignment using map (or slice, or combination)
I have this code in PHP: $set is a collection of document vectors (string => frequency).
I normally can create a posting statistics like this:
$postinglist = array();
foreach ($set as $id=>$doc) {
foreach ($doc as $term => $value) {
if(!isset($postinglist[$term][$id])) {
$postinglist[$term][$id] = $value;
}
}
So it would look something like:
array (
'the' => array (
1 => 5,
2 => 10
),
'and' => array (
1 => 6,
3 => 7
)
)
After building my corpus (just array of all terms in all documents), I would then build the posting list for each terms:
$terms = $this->getAllTerms();
foreach($terms as $term) {
$entry = new EntryStatistics();
foreach($postinglist[$term] as $id => $value) {
$post = new PostingStatistics;
$post->setTf($value);
$entry->setPostingList($id, $post);
}
}
I'm wondering if there's a neat way of doing such in golang as I've tried this:
postinglist := make(map[string]map[int]float64)
for id, doc := range indexmanager.GetDocuments() {
for str, tf := range doc {
_, ok_pl := postinglist[str][id]
if !ok_pl {
postinglist[str] = make(map[int]float64)
postinglist[str][id] = tf
}
}
}
Of course it doesn't work, as it always initializes the map everytime I do:
postinglist[str] = make(map[int]float64)
Make a map if the map is nil
. For example,
package main
import (
"fmt"
"math"
)
func main() {
tests := []struct {
s string
i int
f float64
}{
{"s", 42, math.Pi},
{"s", 100, math.E},
{"s", 100, 1000.0},
{"x", 1, 2.0},
}
var m map[string]map[int]float64
fmt.Println(m)
for _, t := range tests {
if m == nil {
m = make(map[string]map[int]float64)
}
if m[t.s] == nil {
m[t.s] = make(map[int]float64)
}
m[t.s][t.i] += t.f
fmt.Println(m)
}
}
Playground: https://play.golang.org/p/IBZxGgAi6eL
Output:
map[]
map[s:map[42:3.141592653589793]]
map[s:map[42:3.141592653589793 100:2.718281828459045]]
map[s:map[42:3.141592653589793 100:1002.718281828459]]
map[s:map[42:3.141592653589793 100:1002.718281828459] x:map[1:2]]
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