// Code generated by protoc-gen-ts_proto. DO NOT EDIT.
// versions:
//   protoc-gen-ts_proto  v2.11.8
//   protoc               v6.33.1
// source: nlp_server.proto

/* eslint-disable */
import { BinaryReader, BinaryWriter } from "@bufbuild/protobuf/wire";
import {
  type CallOptions,
  type ChannelCredentials,
  Client,
  type ClientOptions,
  type ClientReadableStream,
  type ClientUnaryCall,
  type handleServerStreamingCall,
  type handleUnaryCall,
  makeGenericClientConstructor,
  type Metadata,
  type ServiceError,
  type UntypedServiceImplementation,
} from "@grpc/grpc-js";
import {
  AddDocumentsRequest,
  AddDocumentsResponse,
  ContentType,
  contentTypeFromJSON,
  contentTypeToJSON,
  GetDocumentsRequest,
  GetDocumentsResponse,
  GetDocumentStatusRequest,
  GetDocumentStatusResponse,
  ProcessDocumentsRequest,
  ProcessDocumentsResponse,
  RemoveDocumentsRequest,
  RemoveDocumentsResponse,
  UpdateDocumentsRequest,
  UpdateDocumentsResponse,
} from "./documents.js";
import {
  GetContentRequest,
  GetContentResponse,
  GetIntentsRequest,
  GetKeywordsRequest,
  GetKeywordsResponse,
  GetScoreLimitsRequest,
  GetScoreLimitsResponse,
  Intent,
  RemoveContentRequest,
  RemoveContentResponse,
  UpdateContentRequest,
  UpdateContentResponse,
} from "./intents.js";
import {
  AddProjectRequest,
  AddProjectResponse,
  EmbeddingModel,
  GetEmbeddingModelsRequest,
  GetProjectsRequest,
  Project,
  RemoveProjectRequest,
  RemoveProjectResponse,
  UpdateProjectRequest,
  UpdateProjectResponse,
} from "./projects.js";

export const protobufPackage = "aristech.nlp";

/** Request for the list of functions provided by the server. */
export interface FunctionRequest {
}

/**
 * Describes a specific operation that can be applied to incoming text,
 * such as classification or recasing.
 */
export interface FunctionMessage {
  /** Unique identifier of the function. */
  id: string;
  /** Descriptive name of the function. */
  name: string;
  /** Detailed description of the function. */
  description: string;
  /** List of arguments accepted by the function. */
  arguments: string[];
  /** bool that indicates if the function can process attachments */
  supportsAttachments: boolean;
  supportedContentTypes: ContentType[];
}

/** Request to process raw text using specified functions. */
export interface RunFunctionsRequest {
  /** List of functions to apply. */
  functions: FunctionMessage[];
  /** The raw text to process. */
  input: string;
  /** Additional parameters for the functions. */
  arguments: string[];
  /** Optional attachments for additional data (e.g. images, files). */
  attachments: Attachment[];
}

export interface Attachment {
  /** A unique identifier or filename for the attachment. */
  name: string;
  /** MIME type (e.g. "image/png", "application/pdf"). */
  contentType: ContentType;
  /** Raw binary data of the attachment. */
  data: Uint8Array;
}

/** Response message containing the result of text processing. */
export interface RunFunctionsResponse {
  /** The processed text result. */
  output: string;
}

export interface SyncDBsRequest {
}

export interface SyncDBsResponse {
  status: string;
}

function createBaseFunctionRequest(): FunctionRequest {
  return {};
}

export const FunctionRequest: MessageFns<FunctionRequest> = {
  encode(_: FunctionRequest, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): FunctionRequest {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseFunctionRequest();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(_: any): FunctionRequest {
    return {};
  },

  toJSON(_: FunctionRequest): unknown {
    const obj: any = {};
    return obj;
  },

  create<I extends Exact<DeepPartial<FunctionRequest>, I>>(base?: I): FunctionRequest {
    return FunctionRequest.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<FunctionRequest>, I>>(_: I): FunctionRequest {
    const message = createBaseFunctionRequest();
    return message;
  },
};

function createBaseFunctionMessage(): FunctionMessage {
  return { id: "", name: "", description: "", arguments: [], supportsAttachments: false, supportedContentTypes: [] };
}

export const FunctionMessage: MessageFns<FunctionMessage> = {
  encode(message: FunctionMessage, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    if (message.id !== "") {
      writer.uint32(10).string(message.id);
    }
    if (message.name !== "") {
      writer.uint32(18).string(message.name);
    }
    if (message.description !== "") {
      writer.uint32(26).string(message.description);
    }
    for (const v of message.arguments) {
      writer.uint32(34).string(v!);
    }
    if (message.supportsAttachments !== false) {
      writer.uint32(40).bool(message.supportsAttachments);
    }
    writer.uint32(50).fork();
    for (const v of message.supportedContentTypes) {
      writer.int32(v);
    }
    writer.join();
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): FunctionMessage {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseFunctionMessage();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
        case 1: {
          if (tag !== 10) {
            break;
          }

          message.id = reader.string();
          continue;
        }
        case 2: {
          if (tag !== 18) {
            break;
          }

          message.name = reader.string();
          continue;
        }
        case 3: {
          if (tag !== 26) {
            break;
          }

          message.description = reader.string();
          continue;
        }
        case 4: {
          if (tag !== 34) {
            break;
          }

          message.arguments.push(reader.string());
          continue;
        }
        case 5: {
          if (tag !== 40) {
            break;
          }

          message.supportsAttachments = reader.bool();
          continue;
        }
        case 6: {
          if (tag === 48) {
            message.supportedContentTypes.push(reader.int32() as any);

            continue;
          }

          if (tag === 50) {
            const end2 = reader.uint32() + reader.pos;
            while (reader.pos < end2) {
              message.supportedContentTypes.push(reader.int32() as any);
            }

            continue;
          }

          break;
        }
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(object: any): FunctionMessage {
    return {
      id: isSet(object.id) ? globalThis.String(object.id) : "",
      name: isSet(object.name) ? globalThis.String(object.name) : "",
      description: isSet(object.description) ? globalThis.String(object.description) : "",
      arguments: globalThis.Array.isArray(object?.arguments)
        ? object.arguments.map((e: any) => globalThis.String(e))
        : [],
      supportsAttachments: isSet(object.supportsAttachments)
        ? globalThis.Boolean(object.supportsAttachments)
        : isSet(object.supports_attachments)
        ? globalThis.Boolean(object.supports_attachments)
        : false,
      supportedContentTypes: globalThis.Array.isArray(object?.supportedContentTypes)
        ? object.supportedContentTypes.map((e: any) => contentTypeFromJSON(e))
        : globalThis.Array.isArray(object?.supported_content_types)
        ? object.supported_content_types.map((e: any) => contentTypeFromJSON(e))
        : [],
    };
  },

  toJSON(message: FunctionMessage): unknown {
    const obj: any = {};
    if (message.id !== "") {
      obj.id = message.id;
    }
    if (message.name !== "") {
      obj.name = message.name;
    }
    if (message.description !== "") {
      obj.description = message.description;
    }
    if (message.arguments?.length) {
      obj.arguments = message.arguments;
    }
    if (message.supportsAttachments !== false) {
      obj.supportsAttachments = message.supportsAttachments;
    }
    if (message.supportedContentTypes?.length) {
      obj.supportedContentTypes = message.supportedContentTypes.map((e) => contentTypeToJSON(e));
    }
    return obj;
  },

  create<I extends Exact<DeepPartial<FunctionMessage>, I>>(base?: I): FunctionMessage {
    return FunctionMessage.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<FunctionMessage>, I>>(object: I): FunctionMessage {
    const message = createBaseFunctionMessage();
    message.id = object.id ?? "";
    message.name = object.name ?? "";
    message.description = object.description ?? "";
    message.arguments = object.arguments?.map((e) => e) || [];
    message.supportsAttachments = object.supportsAttachments ?? false;
    message.supportedContentTypes = object.supportedContentTypes?.map((e) => e) || [];
    return message;
  },
};

function createBaseRunFunctionsRequest(): RunFunctionsRequest {
  return { functions: [], input: "", arguments: [], attachments: [] };
}

export const RunFunctionsRequest: MessageFns<RunFunctionsRequest> = {
  encode(message: RunFunctionsRequest, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    for (const v of message.functions) {
      FunctionMessage.encode(v!, writer.uint32(10).fork()).join();
    }
    if (message.input !== "") {
      writer.uint32(18).string(message.input);
    }
    for (const v of message.arguments) {
      writer.uint32(26).string(v!);
    }
    for (const v of message.attachments) {
      Attachment.encode(v!, writer.uint32(34).fork()).join();
    }
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): RunFunctionsRequest {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseRunFunctionsRequest();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
        case 1: {
          if (tag !== 10) {
            break;
          }

          message.functions.push(FunctionMessage.decode(reader, reader.uint32()));
          continue;
        }
        case 2: {
          if (tag !== 18) {
            break;
          }

          message.input = reader.string();
          continue;
        }
        case 3: {
          if (tag !== 26) {
            break;
          }

          message.arguments.push(reader.string());
          continue;
        }
        case 4: {
          if (tag !== 34) {
            break;
          }

          message.attachments.push(Attachment.decode(reader, reader.uint32()));
          continue;
        }
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(object: any): RunFunctionsRequest {
    return {
      functions: globalThis.Array.isArray(object?.functions)
        ? object.functions.map((e: any) => FunctionMessage.fromJSON(e))
        : [],
      input: isSet(object.input) ? globalThis.String(object.input) : "",
      arguments: globalThis.Array.isArray(object?.arguments)
        ? object.arguments.map((e: any) => globalThis.String(e))
        : [],
      attachments: globalThis.Array.isArray(object?.attachments)
        ? object.attachments.map((e: any) => Attachment.fromJSON(e))
        : [],
    };
  },

  toJSON(message: RunFunctionsRequest): unknown {
    const obj: any = {};
    if (message.functions?.length) {
      obj.functions = message.functions.map((e) => FunctionMessage.toJSON(e));
    }
    if (message.input !== "") {
      obj.input = message.input;
    }
    if (message.arguments?.length) {
      obj.arguments = message.arguments;
    }
    if (message.attachments?.length) {
      obj.attachments = message.attachments.map((e) => Attachment.toJSON(e));
    }
    return obj;
  },

  create<I extends Exact<DeepPartial<RunFunctionsRequest>, I>>(base?: I): RunFunctionsRequest {
    return RunFunctionsRequest.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<RunFunctionsRequest>, I>>(object: I): RunFunctionsRequest {
    const message = createBaseRunFunctionsRequest();
    message.functions = object.functions?.map((e) => FunctionMessage.fromPartial(e)) || [];
    message.input = object.input ?? "";
    message.arguments = object.arguments?.map((e) => e) || [];
    message.attachments = object.attachments?.map((e) => Attachment.fromPartial(e)) || [];
    return message;
  },
};

function createBaseAttachment(): Attachment {
  return { name: "", contentType: 0, data: new Uint8Array(0) };
}

export const Attachment: MessageFns<Attachment> = {
  encode(message: Attachment, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    if (message.name !== "") {
      writer.uint32(10).string(message.name);
    }
    if (message.contentType !== 0) {
      writer.uint32(16).int32(message.contentType);
    }
    if (message.data.length !== 0) {
      writer.uint32(26).bytes(message.data);
    }
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): Attachment {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseAttachment();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
        case 1: {
          if (tag !== 10) {
            break;
          }

          message.name = reader.string();
          continue;
        }
        case 2: {
          if (tag !== 16) {
            break;
          }

          message.contentType = reader.int32() as any;
          continue;
        }
        case 3: {
          if (tag !== 26) {
            break;
          }

          message.data = reader.bytes();
          continue;
        }
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(object: any): Attachment {
    return {
      name: isSet(object.name) ? globalThis.String(object.name) : "",
      contentType: isSet(object.contentType)
        ? contentTypeFromJSON(object.contentType)
        : isSet(object.content_type)
        ? contentTypeFromJSON(object.content_type)
        : 0,
      data: isSet(object.data) ? bytesFromBase64(object.data) : new Uint8Array(0),
    };
  },

  toJSON(message: Attachment): unknown {
    const obj: any = {};
    if (message.name !== "") {
      obj.name = message.name;
    }
    if (message.contentType !== 0) {
      obj.contentType = contentTypeToJSON(message.contentType);
    }
    if (message.data.length !== 0) {
      obj.data = base64FromBytes(message.data);
    }
    return obj;
  },

  create<I extends Exact<DeepPartial<Attachment>, I>>(base?: I): Attachment {
    return Attachment.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<Attachment>, I>>(object: I): Attachment {
    const message = createBaseAttachment();
    message.name = object.name ?? "";
    message.contentType = object.contentType ?? 0;
    message.data = object.data ?? new Uint8Array(0);
    return message;
  },
};

function createBaseRunFunctionsResponse(): RunFunctionsResponse {
  return { output: "" };
}

export const RunFunctionsResponse: MessageFns<RunFunctionsResponse> = {
  encode(message: RunFunctionsResponse, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    if (message.output !== "") {
      writer.uint32(10).string(message.output);
    }
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): RunFunctionsResponse {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseRunFunctionsResponse();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
        case 1: {
          if (tag !== 10) {
            break;
          }

          message.output = reader.string();
          continue;
        }
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(object: any): RunFunctionsResponse {
    return { output: isSet(object.output) ? globalThis.String(object.output) : "" };
  },

  toJSON(message: RunFunctionsResponse): unknown {
    const obj: any = {};
    if (message.output !== "") {
      obj.output = message.output;
    }
    return obj;
  },

  create<I extends Exact<DeepPartial<RunFunctionsResponse>, I>>(base?: I): RunFunctionsResponse {
    return RunFunctionsResponse.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<RunFunctionsResponse>, I>>(object: I): RunFunctionsResponse {
    const message = createBaseRunFunctionsResponse();
    message.output = object.output ?? "";
    return message;
  },
};

function createBaseSyncDBsRequest(): SyncDBsRequest {
  return {};
}

export const SyncDBsRequest: MessageFns<SyncDBsRequest> = {
  encode(_: SyncDBsRequest, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): SyncDBsRequest {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseSyncDBsRequest();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(_: any): SyncDBsRequest {
    return {};
  },

  toJSON(_: SyncDBsRequest): unknown {
    const obj: any = {};
    return obj;
  },

  create<I extends Exact<DeepPartial<SyncDBsRequest>, I>>(base?: I): SyncDBsRequest {
    return SyncDBsRequest.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<SyncDBsRequest>, I>>(_: I): SyncDBsRequest {
    const message = createBaseSyncDBsRequest();
    return message;
  },
};

function createBaseSyncDBsResponse(): SyncDBsResponse {
  return { status: "" };
}

export const SyncDBsResponse: MessageFns<SyncDBsResponse> = {
  encode(message: SyncDBsResponse, writer: BinaryWriter = new BinaryWriter()): BinaryWriter {
    if (message.status !== "") {
      writer.uint32(10).string(message.status);
    }
    return writer;
  },

  decode(input: BinaryReader | Uint8Array, length?: number): SyncDBsResponse {
    const reader = input instanceof BinaryReader ? input : new BinaryReader(input);
    const end = length === undefined ? reader.len : reader.pos + length;
    const message = createBaseSyncDBsResponse();
    while (reader.pos < end) {
      const tag = reader.uint32();
      switch (tag >>> 3) {
        case 1: {
          if (tag !== 10) {
            break;
          }

          message.status = reader.string();
          continue;
        }
      }
      if ((tag & 7) === 4 || tag === 0) {
        break;
      }
      reader.skip(tag & 7);
    }
    return message;
  },

  fromJSON(object: any): SyncDBsResponse {
    return { status: isSet(object.status) ? globalThis.String(object.status) : "" };
  },

  toJSON(message: SyncDBsResponse): unknown {
    const obj: any = {};
    if (message.status !== "") {
      obj.status = message.status;
    }
    return obj;
  },

  create<I extends Exact<DeepPartial<SyncDBsResponse>, I>>(base?: I): SyncDBsResponse {
    return SyncDBsResponse.fromPartial(base ?? ({} as any));
  },
  fromPartial<I extends Exact<DeepPartial<SyncDBsResponse>, I>>(object: I): SyncDBsResponse {
    const message = createBaseSyncDBsResponse();
    message.status = object.status ?? "";
    return message;
  },
};

/**
 * NLPServer provides the interface for various NLP functionalities.
 * These functions include text processing, content management in projects,
 * and interaction with vectorized data structures.
 */
export type NLPServerService = typeof NLPServerService;
export const NLPServerService = {
  /**
   * Returns all available processing functions (models) of the server.
   * Each function includes a unique ID, a descriptive name,
   * a description, and a list of possible arguments.
   */
  getFunctions: {
    path: "/aristech.nlp.NLPServer/GetFunctions" as const,
    requestStream: false as const,
    responseStream: true as const,
    requestSerialize: (value: FunctionRequest): Buffer => Buffer.from(FunctionRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): FunctionRequest => FunctionRequest.decode(value),
    responseSerialize: (value: FunctionMessage): Buffer => Buffer.from(FunctionMessage.encode(value).finish()),
    responseDeserialize: (value: Buffer): FunctionMessage => FunctionMessage.decode(value),
  },
  /**
   * Processes the provided raw text using the specified functions.
   * Multiple functions can be applied sequentially.
   */
  runFunctions: {
    path: "/aristech.nlp.NLPServer/RunFunctions" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: RunFunctionsRequest): Buffer => Buffer.from(RunFunctionsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): RunFunctionsRequest => RunFunctionsRequest.decode(value),
    responseSerialize: (value: RunFunctionsResponse): Buffer =>
      Buffer.from(RunFunctionsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): RunFunctionsResponse => RunFunctionsResponse.decode(value),
  },
  /** Adds new content or updates existing content. */
  updateContent: {
    path: "/aristech.nlp.NLPServer/UpdateContent" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: UpdateContentRequest): Buffer => Buffer.from(UpdateContentRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): UpdateContentRequest => UpdateContentRequest.decode(value),
    responseSerialize: (value: UpdateContentResponse): Buffer =>
      Buffer.from(UpdateContentResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): UpdateContentResponse => UpdateContentResponse.decode(value),
  },
  /** Removes the specified content. */
  removeContent: {
    path: "/aristech.nlp.NLPServer/RemoveContent" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: RemoveContentRequest): Buffer => Buffer.from(RemoveContentRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): RemoveContentRequest => RemoveContentRequest.decode(value),
    responseSerialize: (value: RemoveContentResponse): Buffer =>
      Buffer.from(RemoveContentResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): RemoveContentResponse => RemoveContentResponse.decode(value),
  },
  /** Retrieves content that is available both as vectorized data and as plain text. */
  getContent: {
    path: "/aristech.nlp.NLPServer/GetContent" as const,
    requestStream: false as const,
    responseStream: true as const,
    requestSerialize: (value: GetContentRequest): Buffer => Buffer.from(GetContentRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetContentRequest => GetContentRequest.decode(value),
    responseSerialize: (value: GetContentResponse): Buffer => Buffer.from(GetContentResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): GetContentResponse => GetContentResponse.decode(value),
  },
  /** Initializes a new project. */
  addProject: {
    path: "/aristech.nlp.NLPServer/AddProject" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: AddProjectRequest): Buffer => Buffer.from(AddProjectRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): AddProjectRequest => AddProjectRequest.decode(value),
    responseSerialize: (value: AddProjectResponse): Buffer => Buffer.from(AddProjectResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): AddProjectResponse => AddProjectResponse.decode(value),
  },
  /** Removes an existing project and all associated content. */
  removeProject: {
    path: "/aristech.nlp.NLPServer/RemoveProject" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: RemoveProjectRequest): Buffer => Buffer.from(RemoveProjectRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): RemoveProjectRequest => RemoveProjectRequest.decode(value),
    responseSerialize: (value: RemoveProjectResponse): Buffer =>
      Buffer.from(RemoveProjectResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): RemoveProjectResponse => RemoveProjectResponse.decode(value),
  },
  /** Updates the settings or configuration of an existing project. */
  updateProject: {
    path: "/aristech.nlp.NLPServer/UpdateProject" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: UpdateProjectRequest): Buffer => Buffer.from(UpdateProjectRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): UpdateProjectRequest => UpdateProjectRequest.decode(value),
    responseSerialize: (value: UpdateProjectResponse): Buffer =>
      Buffer.from(UpdateProjectResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): UpdateProjectResponse => UpdateProjectResponse.decode(value),
  },
  /** Returns a list of all projects. */
  getProjects: {
    path: "/aristech.nlp.NLPServer/GetProjects" as const,
    requestStream: false as const,
    responseStream: true as const,
    requestSerialize: (value: GetProjectsRequest): Buffer => Buffer.from(GetProjectsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetProjectsRequest => GetProjectsRequest.decode(value),
    responseSerialize: (value: Project): Buffer => Buffer.from(Project.encode(value).finish()),
    responseDeserialize: (value: Buffer): Project => Project.decode(value),
  },
  /** Retrieves all intents of a project. */
  getIntents: {
    path: "/aristech.nlp.NLPServer/GetIntents" as const,
    requestStream: false as const,
    responseStream: true as const,
    requestSerialize: (value: GetIntentsRequest): Buffer => Buffer.from(GetIntentsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetIntentsRequest => GetIntentsRequest.decode(value),
    responseSerialize: (value: Intent): Buffer => Buffer.from(Intent.encode(value).finish()),
    responseDeserialize: (value: Buffer): Intent => Intent.decode(value),
  },
  /** Determines score limits for a project based on test inputs. */
  getScoreLimits: {
    path: "/aristech.nlp.NLPServer/GetScoreLimits" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: GetScoreLimitsRequest): Buffer =>
      Buffer.from(GetScoreLimitsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetScoreLimitsRequest => GetScoreLimitsRequest.decode(value),
    responseSerialize: (value: GetScoreLimitsResponse): Buffer =>
      Buffer.from(GetScoreLimitsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): GetScoreLimitsResponse => GetScoreLimitsResponse.decode(value),
  },
  /** Returns a list of available embedding models for similarity searches. */
  getEmbeddingModels: {
    path: "/aristech.nlp.NLPServer/GetEmbeddingModels" as const,
    requestStream: false as const,
    responseStream: true as const,
    requestSerialize: (value: GetEmbeddingModelsRequest): Buffer =>
      Buffer.from(GetEmbeddingModelsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetEmbeddingModelsRequest => GetEmbeddingModelsRequest.decode(value),
    responseSerialize: (value: EmbeddingModel): Buffer => Buffer.from(EmbeddingModel.encode(value).finish()),
    responseDeserialize: (value: Buffer): EmbeddingModel => EmbeddingModel.decode(value),
  },
  syncDBs: {
    path: "/aristech.nlp.NLPServer/SyncDBs" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: SyncDBsRequest): Buffer => Buffer.from(SyncDBsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): SyncDBsRequest => SyncDBsRequest.decode(value),
    responseSerialize: (value: SyncDBsResponse): Buffer => Buffer.from(SyncDBsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): SyncDBsResponse => SyncDBsResponse.decode(value),
  },
  getKeywords: {
    path: "/aristech.nlp.NLPServer/GetKeywords" as const,
    requestStream: false as const,
    responseStream: true as const,
    requestSerialize: (value: GetKeywordsRequest): Buffer => Buffer.from(GetKeywordsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetKeywordsRequest => GetKeywordsRequest.decode(value),
    responseSerialize: (value: GetKeywordsResponse): Buffer => Buffer.from(GetKeywordsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): GetKeywordsResponse => GetKeywordsResponse.decode(value),
  },
  addDocuments: {
    path: "/aristech.nlp.NLPServer/AddDocuments" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: AddDocumentsRequest): Buffer => Buffer.from(AddDocumentsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): AddDocumentsRequest => AddDocumentsRequest.decode(value),
    responseSerialize: (value: AddDocumentsResponse): Buffer =>
      Buffer.from(AddDocumentsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): AddDocumentsResponse => AddDocumentsResponse.decode(value),
  },
  getDocuments: {
    path: "/aristech.nlp.NLPServer/GetDocuments" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: GetDocumentsRequest): Buffer => Buffer.from(GetDocumentsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetDocumentsRequest => GetDocumentsRequest.decode(value),
    responseSerialize: (value: GetDocumentsResponse): Buffer =>
      Buffer.from(GetDocumentsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): GetDocumentsResponse => GetDocumentsResponse.decode(value),
  },
  processDocuments: {
    path: "/aristech.nlp.NLPServer/ProcessDocuments" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: ProcessDocumentsRequest): Buffer =>
      Buffer.from(ProcessDocumentsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): ProcessDocumentsRequest => ProcessDocumentsRequest.decode(value),
    responseSerialize: (value: ProcessDocumentsResponse): Buffer =>
      Buffer.from(ProcessDocumentsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): ProcessDocumentsResponse => ProcessDocumentsResponse.decode(value),
  },
  updateDocuments: {
    path: "/aristech.nlp.NLPServer/UpdateDocuments" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: UpdateDocumentsRequest): Buffer =>
      Buffer.from(UpdateDocumentsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): UpdateDocumentsRequest => UpdateDocumentsRequest.decode(value),
    responseSerialize: (value: UpdateDocumentsResponse): Buffer =>
      Buffer.from(UpdateDocumentsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): UpdateDocumentsResponse => UpdateDocumentsResponse.decode(value),
  },
  removeDocuments: {
    path: "/aristech.nlp.NLPServer/RemoveDocuments" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: RemoveDocumentsRequest): Buffer =>
      Buffer.from(RemoveDocumentsRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): RemoveDocumentsRequest => RemoveDocumentsRequest.decode(value),
    responseSerialize: (value: RemoveDocumentsResponse): Buffer =>
      Buffer.from(RemoveDocumentsResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): RemoveDocumentsResponse => RemoveDocumentsResponse.decode(value),
  },
  getDocumentStatus: {
    path: "/aristech.nlp.NLPServer/GetDocumentStatus" as const,
    requestStream: false as const,
    responseStream: false as const,
    requestSerialize: (value: GetDocumentStatusRequest): Buffer =>
      Buffer.from(GetDocumentStatusRequest.encode(value).finish()),
    requestDeserialize: (value: Buffer): GetDocumentStatusRequest => GetDocumentStatusRequest.decode(value),
    responseSerialize: (value: GetDocumentStatusResponse): Buffer =>
      Buffer.from(GetDocumentStatusResponse.encode(value).finish()),
    responseDeserialize: (value: Buffer): GetDocumentStatusResponse => GetDocumentStatusResponse.decode(value),
  },
} as const;

export interface NLPServerServer extends UntypedServiceImplementation {
  /**
   * Returns all available processing functions (models) of the server.
   * Each function includes a unique ID, a descriptive name,
   * a description, and a list of possible arguments.
   */
  getFunctions: handleServerStreamingCall<FunctionRequest, FunctionMessage>;
  /**
   * Processes the provided raw text using the specified functions.
   * Multiple functions can be applied sequentially.
   */
  runFunctions: handleUnaryCall<RunFunctionsRequest, RunFunctionsResponse>;
  /** Adds new content or updates existing content. */
  updateContent: handleUnaryCall<UpdateContentRequest, UpdateContentResponse>;
  /** Removes the specified content. */
  removeContent: handleUnaryCall<RemoveContentRequest, RemoveContentResponse>;
  /** Retrieves content that is available both as vectorized data and as plain text. */
  getContent: handleServerStreamingCall<GetContentRequest, GetContentResponse>;
  /** Initializes a new project. */
  addProject: handleUnaryCall<AddProjectRequest, AddProjectResponse>;
  /** Removes an existing project and all associated content. */
  removeProject: handleUnaryCall<RemoveProjectRequest, RemoveProjectResponse>;
  /** Updates the settings or configuration of an existing project. */
  updateProject: handleUnaryCall<UpdateProjectRequest, UpdateProjectResponse>;
  /** Returns a list of all projects. */
  getProjects: handleServerStreamingCall<GetProjectsRequest, Project>;
  /** Retrieves all intents of a project. */
  getIntents: handleServerStreamingCall<GetIntentsRequest, Intent>;
  /** Determines score limits for a project based on test inputs. */
  getScoreLimits: handleUnaryCall<GetScoreLimitsRequest, GetScoreLimitsResponse>;
  /** Returns a list of available embedding models for similarity searches. */
  getEmbeddingModels: handleServerStreamingCall<GetEmbeddingModelsRequest, EmbeddingModel>;
  syncDBs: handleUnaryCall<SyncDBsRequest, SyncDBsResponse>;
  getKeywords: handleServerStreamingCall<GetKeywordsRequest, GetKeywordsResponse>;
  addDocuments: handleUnaryCall<AddDocumentsRequest, AddDocumentsResponse>;
  getDocuments: handleUnaryCall<GetDocumentsRequest, GetDocumentsResponse>;
  processDocuments: handleUnaryCall<ProcessDocumentsRequest, ProcessDocumentsResponse>;
  updateDocuments: handleUnaryCall<UpdateDocumentsRequest, UpdateDocumentsResponse>;
  removeDocuments: handleUnaryCall<RemoveDocumentsRequest, RemoveDocumentsResponse>;
  getDocumentStatus: handleUnaryCall<GetDocumentStatusRequest, GetDocumentStatusResponse>;
}

export interface NLPServerClient extends Client {
  /**
   * Returns all available processing functions (models) of the server.
   * Each function includes a unique ID, a descriptive name,
   * a description, and a list of possible arguments.
   */
  getFunctions(request: FunctionRequest, options?: Partial<CallOptions>): ClientReadableStream<FunctionMessage>;
  getFunctions(
    request: FunctionRequest,
    metadata?: Metadata,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<FunctionMessage>;
  /**
   * Processes the provided raw text using the specified functions.
   * Multiple functions can be applied sequentially.
   */
  runFunctions(
    request: RunFunctionsRequest,
    callback: (error: ServiceError | null, response: RunFunctionsResponse) => void,
  ): ClientUnaryCall;
  runFunctions(
    request: RunFunctionsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: RunFunctionsResponse) => void,
  ): ClientUnaryCall;
  runFunctions(
    request: RunFunctionsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: RunFunctionsResponse) => void,
  ): ClientUnaryCall;
  /** Adds new content or updates existing content. */
  updateContent(
    request: UpdateContentRequest,
    callback: (error: ServiceError | null, response: UpdateContentResponse) => void,
  ): ClientUnaryCall;
  updateContent(
    request: UpdateContentRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: UpdateContentResponse) => void,
  ): ClientUnaryCall;
  updateContent(
    request: UpdateContentRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: UpdateContentResponse) => void,
  ): ClientUnaryCall;
  /** Removes the specified content. */
  removeContent(
    request: RemoveContentRequest,
    callback: (error: ServiceError | null, response: RemoveContentResponse) => void,
  ): ClientUnaryCall;
  removeContent(
    request: RemoveContentRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: RemoveContentResponse) => void,
  ): ClientUnaryCall;
  removeContent(
    request: RemoveContentRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: RemoveContentResponse) => void,
  ): ClientUnaryCall;
  /** Retrieves content that is available both as vectorized data and as plain text. */
  getContent(request: GetContentRequest, options?: Partial<CallOptions>): ClientReadableStream<GetContentResponse>;
  getContent(
    request: GetContentRequest,
    metadata?: Metadata,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<GetContentResponse>;
  /** Initializes a new project. */
  addProject(
    request: AddProjectRequest,
    callback: (error: ServiceError | null, response: AddProjectResponse) => void,
  ): ClientUnaryCall;
  addProject(
    request: AddProjectRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: AddProjectResponse) => void,
  ): ClientUnaryCall;
  addProject(
    request: AddProjectRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: AddProjectResponse) => void,
  ): ClientUnaryCall;
  /** Removes an existing project and all associated content. */
  removeProject(
    request: RemoveProjectRequest,
    callback: (error: ServiceError | null, response: RemoveProjectResponse) => void,
  ): ClientUnaryCall;
  removeProject(
    request: RemoveProjectRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: RemoveProjectResponse) => void,
  ): ClientUnaryCall;
  removeProject(
    request: RemoveProjectRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: RemoveProjectResponse) => void,
  ): ClientUnaryCall;
  /** Updates the settings or configuration of an existing project. */
  updateProject(
    request: UpdateProjectRequest,
    callback: (error: ServiceError | null, response: UpdateProjectResponse) => void,
  ): ClientUnaryCall;
  updateProject(
    request: UpdateProjectRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: UpdateProjectResponse) => void,
  ): ClientUnaryCall;
  updateProject(
    request: UpdateProjectRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: UpdateProjectResponse) => void,
  ): ClientUnaryCall;
  /** Returns a list of all projects. */
  getProjects(request: GetProjectsRequest, options?: Partial<CallOptions>): ClientReadableStream<Project>;
  getProjects(
    request: GetProjectsRequest,
    metadata?: Metadata,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<Project>;
  /** Retrieves all intents of a project. */
  getIntents(request: GetIntentsRequest, options?: Partial<CallOptions>): ClientReadableStream<Intent>;
  getIntents(
    request: GetIntentsRequest,
    metadata?: Metadata,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<Intent>;
  /** Determines score limits for a project based on test inputs. */
  getScoreLimits(
    request: GetScoreLimitsRequest,
    callback: (error: ServiceError | null, response: GetScoreLimitsResponse) => void,
  ): ClientUnaryCall;
  getScoreLimits(
    request: GetScoreLimitsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: GetScoreLimitsResponse) => void,
  ): ClientUnaryCall;
  getScoreLimits(
    request: GetScoreLimitsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: GetScoreLimitsResponse) => void,
  ): ClientUnaryCall;
  /** Returns a list of available embedding models for similarity searches. */
  getEmbeddingModels(
    request: GetEmbeddingModelsRequest,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<EmbeddingModel>;
  getEmbeddingModels(
    request: GetEmbeddingModelsRequest,
    metadata?: Metadata,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<EmbeddingModel>;
  syncDBs(
    request: SyncDBsRequest,
    callback: (error: ServiceError | null, response: SyncDBsResponse) => void,
  ): ClientUnaryCall;
  syncDBs(
    request: SyncDBsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: SyncDBsResponse) => void,
  ): ClientUnaryCall;
  syncDBs(
    request: SyncDBsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: SyncDBsResponse) => void,
  ): ClientUnaryCall;
  getKeywords(request: GetKeywordsRequest, options?: Partial<CallOptions>): ClientReadableStream<GetKeywordsResponse>;
  getKeywords(
    request: GetKeywordsRequest,
    metadata?: Metadata,
    options?: Partial<CallOptions>,
  ): ClientReadableStream<GetKeywordsResponse>;
  addDocuments(
    request: AddDocumentsRequest,
    callback: (error: ServiceError | null, response: AddDocumentsResponse) => void,
  ): ClientUnaryCall;
  addDocuments(
    request: AddDocumentsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: AddDocumentsResponse) => void,
  ): ClientUnaryCall;
  addDocuments(
    request: AddDocumentsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: AddDocumentsResponse) => void,
  ): ClientUnaryCall;
  getDocuments(
    request: GetDocumentsRequest,
    callback: (error: ServiceError | null, response: GetDocumentsResponse) => void,
  ): ClientUnaryCall;
  getDocuments(
    request: GetDocumentsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: GetDocumentsResponse) => void,
  ): ClientUnaryCall;
  getDocuments(
    request: GetDocumentsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: GetDocumentsResponse) => void,
  ): ClientUnaryCall;
  processDocuments(
    request: ProcessDocumentsRequest,
    callback: (error: ServiceError | null, response: ProcessDocumentsResponse) => void,
  ): ClientUnaryCall;
  processDocuments(
    request: ProcessDocumentsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: ProcessDocumentsResponse) => void,
  ): ClientUnaryCall;
  processDocuments(
    request: ProcessDocumentsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: ProcessDocumentsResponse) => void,
  ): ClientUnaryCall;
  updateDocuments(
    request: UpdateDocumentsRequest,
    callback: (error: ServiceError | null, response: UpdateDocumentsResponse) => void,
  ): ClientUnaryCall;
  updateDocuments(
    request: UpdateDocumentsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: UpdateDocumentsResponse) => void,
  ): ClientUnaryCall;
  updateDocuments(
    request: UpdateDocumentsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: UpdateDocumentsResponse) => void,
  ): ClientUnaryCall;
  removeDocuments(
    request: RemoveDocumentsRequest,
    callback: (error: ServiceError | null, response: RemoveDocumentsResponse) => void,
  ): ClientUnaryCall;
  removeDocuments(
    request: RemoveDocumentsRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: RemoveDocumentsResponse) => void,
  ): ClientUnaryCall;
  removeDocuments(
    request: RemoveDocumentsRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: RemoveDocumentsResponse) => void,
  ): ClientUnaryCall;
  getDocumentStatus(
    request: GetDocumentStatusRequest,
    callback: (error: ServiceError | null, response: GetDocumentStatusResponse) => void,
  ): ClientUnaryCall;
  getDocumentStatus(
    request: GetDocumentStatusRequest,
    metadata: Metadata,
    callback: (error: ServiceError | null, response: GetDocumentStatusResponse) => void,
  ): ClientUnaryCall;
  getDocumentStatus(
    request: GetDocumentStatusRequest,
    metadata: Metadata,
    options: Partial<CallOptions>,
    callback: (error: ServiceError | null, response: GetDocumentStatusResponse) => void,
  ): ClientUnaryCall;
}

export const NLPServerClient = makeGenericClientConstructor(NLPServerService, "aristech.nlp.NLPServer") as unknown as {
  new (address: string, credentials: ChannelCredentials, options?: Partial<ClientOptions>): NLPServerClient;
  service: typeof NLPServerService;
  serviceName: string;
};

function bytesFromBase64(b64: string): Uint8Array {
  if ((globalThis as any).Buffer) {
    return Uint8Array.from((globalThis as any).Buffer.from(b64, "base64"));
  } else {
    const bin = globalThis.atob(b64);
    const arr = new Uint8Array(bin.length);
    for (let i = 0; i < bin.length; ++i) {
      arr[i] = bin.charCodeAt(i);
    }
    return arr;
  }
}

function base64FromBytes(arr: Uint8Array): string {
  if ((globalThis as any).Buffer) {
    return (globalThis as any).Buffer.from(arr).toString("base64");
  } else {
    const bin: string[] = [];
    arr.forEach((byte) => {
      bin.push(globalThis.String.fromCharCode(byte));
    });
    return globalThis.btoa(bin.join(""));
  }
}

type Builtin = Date | Function | Uint8Array | string | number | boolean | undefined;

export type DeepPartial<T> = T extends Builtin ? T
  : T extends globalThis.Array<infer U> ? globalThis.Array<DeepPartial<U>>
  : T extends ReadonlyArray<infer U> ? ReadonlyArray<DeepPartial<U>>
  : T extends {} ? { [K in keyof T]?: DeepPartial<T[K]> }
  : Partial<T>;

type KeysOfUnion<T> = T extends T ? keyof T : never;
export type Exact<P, I extends P> = P extends Builtin ? P
  : P & { [K in keyof P]: Exact<P[K], I[K]> } & { [K in Exclude<keyof I, KeysOfUnion<P>>]: never };

function isSet(value: any): boolean {
  return value !== null && value !== undefined;
}

export interface MessageFns<T> {
  encode(message: T, writer?: BinaryWriter): BinaryWriter;
  decode(input: BinaryReader | Uint8Array, length?: number): T;
  fromJSON(object: any): T;
  toJSON(message: T): unknown;
  create<I extends Exact<DeepPartial<T>, I>>(base?: I): T;
  fromPartial<I extends Exact<DeepPartial<T>, I>>(object: I): T;
}