commonMain.aws.sdk.kotlin.services.comprehend.model.DatasetEntityRecognizerDocuments.kt Maven / Gradle / Ivy

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// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.comprehend.model



/**
 * Describes the documents submitted with a dataset for an entity recognizer model.
 */
public class DatasetEntityRecognizerDocuments private constructor(builder: Builder) {
    /**
     * Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
     */
    public val inputFormat: aws.sdk.kotlin.services.comprehend.model.InputFormat? = builder.inputFormat
    /**
     * Specifies the Amazon S3 location where the documents for the dataset are located.
     */
    public val s3Uri: kotlin.String? = builder.s3Uri

    public companion object {
        public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.comprehend.model.DatasetEntityRecognizerDocuments = Builder().apply(block).build()
    }

    override fun toString(): kotlin.String = buildString {
        append("DatasetEntityRecognizerDocuments(")
        append("inputFormat=$inputFormat,")
        append("s3Uri=$s3Uri")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = inputFormat?.hashCode() ?: 0
        result = 31 * result + (s3Uri?.hashCode() ?: 0)
        return result
    }

    override fun equals(other: kotlin.Any?): kotlin.Boolean {
        if (this === other) return true
        if (other == null || this::class != other::class) return false

        other as DatasetEntityRecognizerDocuments

        if (inputFormat != other.inputFormat) return false
        if (s3Uri != other.s3Uri) return false

        return true
    }

    public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.comprehend.model.DatasetEntityRecognizerDocuments = Builder(this).apply(block).build()

    public class Builder {
        /**
         * Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
         */
        public var inputFormat: aws.sdk.kotlin.services.comprehend.model.InputFormat? = null
        /**
         * Specifies the Amazon S3 location where the documents for the dataset are located.
         */
        public var s3Uri: kotlin.String? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.comprehend.model.DatasetEntityRecognizerDocuments) : this() {
            this.inputFormat = x.inputFormat
            this.s3Uri = x.s3Uri
        }

        @PublishedApi
        internal fun build(): aws.sdk.kotlin.services.comprehend.model.DatasetEntityRecognizerDocuments = DatasetEntityRecognizerDocuments(this)
    }
}