blob: fa6af4cf452ac7a9044f5e16c4dcc3f47f6ccdee (
plain) (
blame)
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
|
// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchlib.tensor;
import com.yahoo.slime.Cursor;
import com.yahoo.slime.Inspector;
import com.yahoo.slime.JsonFormat;
import com.yahoo.slime.ObjectTraverser;
import com.yahoo.slime.Slime;
import com.yahoo.slime.SlimeUtils;
import com.yahoo.io.GrowableByteBuffer;
import com.yahoo.searchlib.rankingexpression.RankingExpression;
import com.yahoo.searchlib.rankingexpression.evaluation.BooleanValue;
import com.yahoo.searchlib.rankingexpression.evaluation.DoubleCompatibleValue;
import com.yahoo.searchlib.rankingexpression.evaluation.MapContext;
import com.yahoo.searchlib.rankingexpression.evaluation.StringValue;
import com.yahoo.searchlib.rankingexpression.evaluation.TensorValue;
import com.yahoo.searchlib.rankingexpression.evaluation.Value;
import com.yahoo.searchlib.rankingexpression.parser.ParseException;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.serialization.TypedBinaryFormat;
import java.io.BufferedOutputStream;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Optional;
public class EvaluateTensorConformance {
public static void main(String[] args) {
var app = new EvaluateTensorConformance();
app.evaluateStdIn();
}
OutputStream outStream = new BufferedOutputStream(System.out);
void evaluateStdIn() {
int count = 0;
try (BufferedReader br = new BufferedReader(new InputStreamReader(System.in))) {
String test = br.readLine();
while (test != null) {
boolean success = testCase(test, count);
if (!success) {
System.err.println("FAILED testcase "+count);
}
++count;
test = br.readLine();
}
} catch (IOException e) {
System.err.println(count + " FAILED : " + e.toString());
}
}
void output(Slime result) {
try {
new JsonFormat(true).encode(outStream, result);
outStream.write('\n');
outStream.flush();
} catch (IOException e) {
System.err.println("FAILED writing output: "+e);
System.exit(1);
}
}
private boolean testCase(String test, int count) {
boolean wasOk = false;
try {
Slime input = SlimeUtils.jsonToSlime(test);
Slime result = new Slime();
var top = result.setObject();
SlimeUtils.copyObject(input.get(), top);
var num_tests = input.get().field("num_tests");
if (input.get().field("num_tests").valid()) {
long expect = input.get().field("num_tests").asLong();
wasOk = (expect == count);
} else if (input.get().field("expression").valid()) {
String expression = input.get().field("expression").asString();
MapContext context = getInput(input.get().field("inputs"));
Tensor actual = evaluate(expression, context);
top.field("result").setData("vespajlib", TypedBinaryFormat.encode(actual));
wasOk = true;
} else {
System.err.println(count + " : Invalid input >>>"+test+"<<<");
wasOk = false;
}
output(result);
} catch (Exception e) {
System.err.println(count + " : " + e.toString());
wasOk = false;
}
return wasOk;
}
private Tensor evaluate(String expression, MapContext context) throws ParseException {
Value value = new RankingExpression(expression).evaluate(context);
return value.asTensor();
}
private MapContext getInput(Inspector inputs) {
MapContext context = new MapContext();
inputs.traverse(new ObjectTraverser() {
public void field(String name, Inspector contents) {
String value = contents.asString();
Tensor tensor = getTensor(value);
context.put(name, new TensorValue(tensor));
}
});
return context;
}
private Tensor getTensor(String binaryRepresentation) {
byte[] bin = getBytes(binaryRepresentation);
return TypedBinaryFormat.decode(Optional.empty(), GrowableByteBuffer.wrap(bin));
}
private byte[] getBytes(String binaryRepresentation) {
return parseHexValue(binaryRepresentation.substring(2));
}
private byte[] parseHexValue(String s) {
final int len = s.length();
byte[] bytes = new byte[len/2];
for (int i = 0; i < len; i += 2) {
int c1 = hexValue(s.charAt(i)) << 4;
int c2 = hexValue(s.charAt(i + 1));
bytes[i/2] = (byte)(c1 + c2);
}
return bytes;
}
private int hexValue(Character c) {
if (c >= 'a' && c <= 'f') {
return c - 'a' + 10;
} else if (c >= 'A' && c <= 'F') {
return c - 'A' + 10;
} else if (c >= '0' && c <= '9') {
return c - '0';
}
throw new IllegalArgumentException("Hex contains illegal characters");
}
}
|
