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/*
 * Copyright (c) 2017-2018 THL A29 Limited, a Tencent company. All Rights Reserved.
 *
 * Licensed 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 com.tencentcloudapi.mps.v20190612.models;

import com.tencentcloudapi.common.AbstractModel;
import com.tencentcloudapi.common.SSEResponseModel;
import com.google.gson.annotations.SerializedName;
import com.google.gson.annotations.Expose;
import java.util.HashMap;

public class CreateWordSamplesRequest extends AbstractModel {

    /**
    * Keyword usage. Valid values:
1. Recognition.Ocr: OCR-based content recognition
2. Recognition.Asr: ASR-based content recognition
3. Review.Ocr: OCR-based inappropriate information recognition
4. Review.Asr: ASR-based inappropriate information recognition
Valid values can also be:
5. Recognition: ASR- and OCR-based content recognition; equivalent to 1+2
6. Review: ASR- and OCR-based inappropriate information recognition; equivalent to 3+4
7. All: ASR- and OCR-based content recognition and inappropriate information detection; equivalent to 1+2+3+4
    */
    @SerializedName("Usages")
    @Expose
    private String [] Usages;

    /**
    * Keyword. Array length limit: 100.
    */
    @SerializedName("Words")
    @Expose
    private AiSampleWordInfo [] Words;

    /**
     * Get Keyword usage. Valid values:
1. Recognition.Ocr: OCR-based content recognition
2. Recognition.Asr: ASR-based content recognition
3. Review.Ocr: OCR-based inappropriate information recognition
4. Review.Asr: ASR-based inappropriate information recognition
Valid values can also be:
5. Recognition: ASR- and OCR-based content recognition; equivalent to 1+2
6. Review: ASR- and OCR-based inappropriate information recognition; equivalent to 3+4
7. All: ASR- and OCR-based content recognition and inappropriate information detection; equivalent to 1+2+3+4 
     * @return Usages Keyword usage. Valid values:
1. Recognition.Ocr: OCR-based content recognition
2. Recognition.Asr: ASR-based content recognition
3. Review.Ocr: OCR-based inappropriate information recognition
4. Review.Asr: ASR-based inappropriate information recognition
Valid values can also be:
5. Recognition: ASR- and OCR-based content recognition; equivalent to 1+2
6. Review: ASR- and OCR-based inappropriate information recognition; equivalent to 3+4
7. All: ASR- and OCR-based content recognition and inappropriate information detection; equivalent to 1+2+3+4
     */
    public String [] getUsages() {
        return this.Usages;
    }

    /**
     * Set Keyword usage. Valid values:
1. Recognition.Ocr: OCR-based content recognition
2. Recognition.Asr: ASR-based content recognition
3. Review.Ocr: OCR-based inappropriate information recognition
4. Review.Asr: ASR-based inappropriate information recognition
Valid values can also be:
5. Recognition: ASR- and OCR-based content recognition; equivalent to 1+2
6. Review: ASR- and OCR-based inappropriate information recognition; equivalent to 3+4
7. All: ASR- and OCR-based content recognition and inappropriate information detection; equivalent to 1+2+3+4
     * @param Usages Keyword usage. Valid values:
1. Recognition.Ocr: OCR-based content recognition
2. Recognition.Asr: ASR-based content recognition
3. Review.Ocr: OCR-based inappropriate information recognition
4. Review.Asr: ASR-based inappropriate information recognition
Valid values can also be:
5. Recognition: ASR- and OCR-based content recognition; equivalent to 1+2
6. Review: ASR- and OCR-based inappropriate information recognition; equivalent to 3+4
7. All: ASR- and OCR-based content recognition and inappropriate information detection; equivalent to 1+2+3+4
     */
    public void setUsages(String [] Usages) {
        this.Usages = Usages;
    }

    /**
     * Get Keyword. Array length limit: 100. 
     * @return Words Keyword. Array length limit: 100.
     */
    public AiSampleWordInfo [] getWords() {
        return this.Words;
    }

    /**
     * Set Keyword. Array length limit: 100.
     * @param Words Keyword. Array length limit: 100.
     */
    public void setWords(AiSampleWordInfo [] Words) {
        this.Words = Words;
    }

    public CreateWordSamplesRequest() {
    }

    /**
     * NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy,
     *       and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
     */
    public CreateWordSamplesRequest(CreateWordSamplesRequest source) {
        if (source.Usages != null) {
            this.Usages = new String[source.Usages.length];
            for (int i = 0; i < source.Usages.length; i++) {
                this.Usages[i] = new String(source.Usages[i]);
            }
        }
        if (source.Words != null) {
            this.Words = new AiSampleWordInfo[source.Words.length];
            for (int i = 0; i < source.Words.length; i++) {
                this.Words[i] = new AiSampleWordInfo(source.Words[i]);
            }
        }
    }


    /**
     * Internal implementation, normal users should not use it.
     */
    public void toMap(HashMap map, String prefix) {
        this.setParamArraySimple(map, prefix + "Usages.", this.Usages);
        this.setParamArrayObj(map, prefix + "Words.", this.Words);

    }
}