import { Entity } from "./entity";
import { Language } from "./language";
import { Paragraph } from "./paragraph";
import { Relation } from "./relation";
import { Sentence } from "./sentence";
import { HasSentiment, Sentiment } from "./sentiment";
import { Tag } from "./tag";
import { TectoToken } from "./tecto-token";
import { Token } from "./token";
import { HasVectors, Vector } from "./vector";
/** An object encapsulating the results of NLP analysis. */
declare class Analysis implements HasSentiment, HasVectors {
    docId: string | null;
    language: Language;
    paragraphs: Paragraph[];
    docSentiment: Sentiment | null;
    entities: Entity[];
    tags: Tag[];
    relations: Relation[];
    docVectors: Vector[] | null;
    usedChars: number | null;
    metadata: Map<string, unknown> | null;
    debugInfo: unknown;
    /**
     * Creates an Analysis object.
     * @param docId Document id.
     * @param language Language of the document and analysis.
     * @param paragraphs The paragraphs within the document. For F2, these are segments.
     * @param docSentiment Sentiment of the document.
     * @param entities The entities in the document.
     * @param tags The tags of the document.
     * @param relations The relations in the document.
     * @param docVectors Optional vectors for the whole document.
     * @param usedChars Characters billed for the analysis.
     * @param metadata The extra non-NLP type of information related to analysis.
     * @param debugInfo Debugging information, if any.
     */
    constructor(docId: string | null | undefined, language: Language, paragraphs: Paragraph[], docSentiment: (Sentiment | null) | undefined, entities: Entity[], tags: Tag[], relations: Relation[], docVectors?: Vector[] | null, usedChars?: number | null, metadata?: Map<string, unknown> | null, debugInfo?: unknown);
    get id(): string;
    get sentiment(): Sentiment | null;
    get vectors(): Vector[] | null;
    /** Sentences across all paragraphs. */
    sentences(): Iterable<Sentence>;
    /** Tokens across all paragraphs. */
    tokens(): Iterable<Token>;
    /** Tecto tokens across all paragraphs. */
    tectoTokens(): Iterable<TectoToken>;
    /** Returns the top [n] tags sorted by `relevance` in descending order. */
    topTags(n?: number): Tag[];
    /**
     * Returns a paragraph with the specified type.
     * Throws IllegalArgumentException if there are more than one such paragraphs, and return null if there are none.
     * This is intended for legacy paragraphs corresponding to title/lead/text segments.
     *
     * For standard types, use these predefined constants:
     * [Paragraph.TYPE_TITLE], [Paragraph.TYPE_ABSTRACT], [Paragraph.TYPE_BODY], [Paragraph.TYPE_SECTION_HEADING],
     * or dedicated methods: [title], [lead], [body].
     */
    getParaByType(paraType: string): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple title paragraphs.
     */
    titlePara(): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple subject paragraphs.
     */
    subjectPara(): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple abstract paragraphs.
     */
    abstractPara(): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple lead paragraphs.
     */
    leadPara(): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple perex paragraphs.
     */
    perexPara(): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple body paragraphs.
     */
    bodyPara(): Paragraph | null;
    /**
     * Returns the title paragraph if present, null if not, and throws
     * an error if there are multiple text paragraphs.
     */
    textPara(): Paragraph | null;
    toString(): string;
}
export { Analysis };