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/*
* 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
*
* https://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.nlpcraft.model.ctxword
import org.apache.nlpcraft.model.{NCContext, NCResult}
import org.apache.nlpcraft.{NCTestContext, NCTestEnvironment}
import org.junit.jupiter.api.Test
/**
* Test model.
*/
class NCContextWordSpecModel2 extends NCContextWordSpecModel {
override val MDL_LEVEL = 0
override def onContext(ctx: NCContext): NCResult = NCResult.text("OK")
}
/**
* Run this test just for manual review all found categories for given model.
* Note that initial confidence set as zero.
*/
@NCTestEnvironment(model = classOf[NCContextWordSpecModel2], startClient = true)
class NCContextWordSpec2 extends NCTestContext {
@Test
private[ctxword] def test(): Unit =
Seq(
"I want to have dogs and foxes",
"I bought dog's meat",
"I bought meat dog's",
"I want to have a dog and fox",
"I fed your fish",
"I like to drive my Porsche and Volkswagen",
"Peugeot added motorcycles to its range year ago",
"The frost is possible today",
"There's a very strong wind from the east now"
).foreach(getClient.ask)
}