forked from apache/datafusion-comet
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
tests: Move random data generation methods from CometCastSuite to new…
… DataGenerator class (apache#426) * add new DataGenerator class * move more data gen methods * ignore some failing tests, update compat docs * address feedback * fix regression
- Loading branch information
Showing
5 changed files
with
136 additions
and
98 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, | ||
| * software distributed under the License is distributed on an | ||
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| * KIND, either express or implied. See the License for the | ||
| * specific language governing permissions and limitations | ||
| * under the License. | ||
| */ | ||
|
|
||
| package org.apache.comet | ||
|
|
||
| import scala.util.Random | ||
|
|
||
| object DataGenerator { | ||
| // note that we use `def` rather than `val` intentionally here so that | ||
| // each test suite starts with a fresh data generator to help ensure | ||
| // that tests are deterministic | ||
| def DEFAULT = new DataGenerator(new Random(42)) | ||
| } | ||
|
|
||
| class DataGenerator(r: Random) { | ||
|
|
||
| /** Generate a random string using the specified characters */ | ||
| def generateString(chars: String, maxLen: Int): String = { | ||
| val len = r.nextInt(maxLen) | ||
| Range(0, len).map(_ => chars.charAt(r.nextInt(chars.length))).mkString | ||
| } | ||
|
|
||
| /** Generate random strings */ | ||
| def generateStrings(n: Int, maxLen: Int): Seq[String] = { | ||
| Range(0, n).map(_ => r.nextString(maxLen)) | ||
| } | ||
|
|
||
| /** Generate random strings using the specified characters */ | ||
| def generateStrings(n: Int, chars: String, maxLen: Int): Seq[String] = { | ||
| Range(0, n).map(_ => generateString(chars, maxLen)) | ||
| } | ||
|
|
||
| def generateFloats(n: Int): Seq[Float] = { | ||
| Seq( | ||
| Float.MaxValue, | ||
| Float.MinPositiveValue, | ||
| Float.MinValue, | ||
| Float.NaN, | ||
| Float.PositiveInfinity, | ||
| Float.NegativeInfinity, | ||
| 1.0f, | ||
| -1.0f, | ||
| Short.MinValue.toFloat, | ||
| Short.MaxValue.toFloat, | ||
| 0.0f) ++ | ||
| Range(0, n).map(_ => r.nextFloat()) | ||
| } | ||
|
|
||
| def generateDoubles(n: Int): Seq[Double] = { | ||
| Seq( | ||
| Double.MaxValue, | ||
| Double.MinPositiveValue, | ||
| Double.MinValue, | ||
| Double.NaN, | ||
| Double.PositiveInfinity, | ||
| Double.NegativeInfinity, | ||
| 0.0d) ++ | ||
| Range(0, n).map(_ => r.nextDouble()) | ||
| } | ||
|
|
||
| def generateBytes(n: Int): Seq[Byte] = { | ||
| Seq(Byte.MinValue, Byte.MaxValue) ++ | ||
| Range(0, n).map(_ => r.nextInt().toByte) | ||
| } | ||
|
|
||
| def generateShorts(n: Int): Seq[Short] = { | ||
| val r = new Random(0) | ||
| Seq(Short.MinValue, Short.MaxValue) ++ | ||
| Range(0, n).map(_ => r.nextInt().toShort) | ||
| } | ||
|
|
||
| def generateInts(n: Int): Seq[Int] = { | ||
| Seq(Int.MinValue, Int.MaxValue) ++ | ||
| Range(0, n).map(_ => r.nextInt()) | ||
| } | ||
|
|
||
| def generateLongs(n: Int): Seq[Long] = { | ||
| Seq(Long.MinValue, Long.MaxValue) ++ | ||
| Range(0, n).map(_ => r.nextLong()) | ||
| } | ||
|
|
||
| } |