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-<h1><p align="center"><img alt="protobuf.js" src="https://github.com/protobufjs/protobuf.js/raw/master/pbjs.svg" height="100" /><br/>protobuf.js</p></h1>
-<p align="center">
-  <a href="https://github.com/protobufjs/protobuf.js/actions/workflows/test.yml"><img src="https://img.shields.io/github/actions/workflow/status/protobufjs/protobuf.js/test.yml?branch=master&label=build&logo=github" alt=""></a>
-  <a href="https://github.com/protobufjs/protobuf.js/actions/workflows/release.yaml"><img src="https://img.shields.io/github/actions/workflow/status/protobufjs/protobuf.js/release.yaml?branch=master&label=release&logo=github" alt=""></a>
-  <a href="https://npmjs.org/package/protobufjs"><img src="https://img.shields.io/npm/v/protobufjs.svg?logo=npm" alt=""></a>
-  <a href="https://npmjs.org/package/protobufjs"><img src="https://img.shields.io/npm/dm/protobufjs.svg?label=downloads&logo=npm" alt=""></a>
-  <a href="https://www.jsdelivr.com/package/npm/protobufjs"><img src="https://img.shields.io/jsdelivr/npm/hm/protobufjs?label=requests&logo=jsdelivr" alt=""></a>
-</p>
-
-**Protocol Buffers** are a language-neutral, platform-neutral, extensible way of serializing structured data for use in communications protocols, data storage, and more, originally designed at Google ([see](https://protobuf.dev/)).
-
-**protobuf.js** is a pure JavaScript implementation with [TypeScript](https://www.typescriptlang.org) support for [Node.js](https://nodejs.org) and the browser. It's easy to use, does not sacrifice on performance, has good conformance and works out of the box with [.proto](https://protobuf.dev/programming-guides/proto3/) files!
-
-Contents
---------
-
-* [Installation](#installation)<br />
-  How to include protobuf.js in your project.
-
-* [Usage](#usage)<br />
-  A brief introduction to using the toolset.
-
-  * [Valid Message](#valid-message)
-  * [Toolset](#toolset)<br />
-
-* [Examples](#examples)<br />
-  A few examples to get you started.
-
-  * [Using .proto files](#using-proto-files)
-  * [Using JSON descriptors](#using-json-descriptors)
-  * [Using reflection only](#using-reflection-only)
-  * [Using custom classes](#using-custom-classes)
-  * [Using services](#using-services)
-  * [Usage with TypeScript](#usage-with-typescript)<br />
-
-* [Additional documentation](#additional-documentation)<br />
-  A list of available documentation resources.
-
-* [Performance](#performance)<br />
-  A few internals and a benchmark on performance.
-
-* [Compatibility](#compatibility)<br />
-  Notes on compatibility regarding browsers and optional libraries.
-
-* [Building](#building)<br />
-  How to build the library and its components yourself.
-
-Installation
----------------
-
-### Node.js
-
-```sh
-npm install protobufjs --save
-```
-
-```js
-// Static code + Reflection + .proto parser
-var protobuf = require("protobufjs");
-
-// Static code + Reflection
-var protobuf = require("protobufjs/light");
-
-// Static code only
-var protobuf = require("protobufjs/minimal");
-```
-
-The optional [command line utility](./cli/) to generate static code and reflection bundles lives in the `protobufjs-cli` package and can be installed separately:
-
-```sh
-npm install protobufjs-cli --save-dev
-```
-
-### Browsers
-
-Pick the variant matching your needs and replace the version tag with the exact [release](https://github.com/protobufjs/protobuf.js/tags) your project depends upon. For example, to use the minified full variant:
-
-```html
-<script src="//cdn.jsdelivr.net/npm/protobufjs@7.X.X/dist/protobuf.min.js"></script>
-```
-
-| Distribution | Location
-|--------------|--------------------------------------------------------
-| Full         | <https://cdn.jsdelivr.net/npm/protobufjs/dist/>
-| Light        | <https://cdn.jsdelivr.net/npm/protobufjs/dist/light/>
-| Minimal      | <https://cdn.jsdelivr.net/npm/protobufjs/dist/minimal/>
-
-All variants support CommonJS and AMD loaders and export globally as `window.protobuf`.
-
-Usage
------
-
-Because JavaScript is a dynamically typed language, protobuf.js utilizes the concept of a **valid message** in order to provide the best possible [performance](#performance) (and, as a side product, proper typings):
-
-### Valid message
-
-> A valid message is an object (1) not missing any required fields and (2) exclusively composed of JS types understood by the wire format writer.
-
-There are two possible types of valid messages and the encoder is able to work with both of these for convenience:
-
-* **Message instances** (explicit instances of message classes with default values on their prototype) naturally satisfy the requirements of a valid message and
-* **Plain JavaScript objects** that just so happen to be composed in a way satisfying the requirements of a valid message as well.
-
-In a nutshell, the wire format writer understands the following types:
-
-| Field type | Expected JS type (create, encode) | Conversion (fromObject)
-|------------|-----------------------------------|------------------------
-| s-/u-/int32<br />s-/fixed32 | `number` (32 bit integer) | <code>value &#124; 0</code> if signed<br />`value >>> 0` if unsigned
-| s-/u-/int64<br />s-/fixed64 | `Long`-like (optimal)<br />`number` (53 bit integer) | `Long.fromValue(value)` with long.js<br />`parseInt(value, 10)` otherwise
-| float<br />double | `number` | `Number(value)`
-| bool | `boolean` | `Boolean(value)`
-| string | `string` | `String(value)`
-| bytes | `Uint8Array` (optimal)<br />`Buffer` (optimal under node)<br />`Array.<number>` (8 bit integers) | `base64.decode(value)` if a `string`<br />`Object` with non-zero `.length` is assumed to be buffer-like
-| enum | `number` (32 bit integer) | Looks up the numeric id if a `string`
-| message | Valid message | `Message.fromObject(value)`
-| repeated T | `Array<T>` | Copy
-| map<K, V> | `Object<K,V>` | Copy
-
-* Explicit `undefined` and `null` are considered as not set if the field is optional.
-* Maps are objects where the key is the string representation of the respective value or an 8 characters long hash string for `Long`-likes.
-
-### Toolset
-
-With that in mind and again for performance reasons, each message class provides a distinct set of methods with each method doing just one thing. This avoids unnecessary assertions / redundant operations where performance is a concern but also forces a user to perform verification (of plain JavaScript objects that *might* just so happen to be a valid message) explicitly where necessary - for example when dealing with user input.
-
-**Note** that `Message` below refers to any message class.
-
-* **Message.verify**(message: `Object`): `null|string`<br />
-  verifies that a **plain JavaScript object** satisfies the requirements of a valid message and thus can be encoded without issues. Instead of throwing, it returns the error message as a string, if any.
-
-  ```js
-  var payload = "invalid (not an object)";
-  var err = AwesomeMessage.verify(payload);
-  if (err)
-    throw Error(err);
-  ```
-
-* **Message.encode**(message: `Message|Object` [, writer: `Writer`]): `Writer`<br />
-  encodes a **message instance** or valid **plain JavaScript object**. This method does not implicitly verify the message and it's up to the user to make sure that the payload is a valid message.
-
-  ```js
-  var buffer = AwesomeMessage.encode(message).finish();
-  ```
-
-* **Message.encodeDelimited**(message: `Message|Object` [, writer: `Writer`]): `Writer`<br />
-  works like `Message.encode` but additionally prepends the length of the message as a varint.
-
-* **Message.decode**(reader: `Reader|Uint8Array`): `Message`<br />
-  decodes a buffer to a **message instance**. If required fields are missing, it throws a `util.ProtocolError` with an `instance` property set to the so far decoded message. If the wire format is invalid, it throws an `Error`.
-
-  ```js
-  try {
-    var decodedMessage = AwesomeMessage.decode(buffer);
-  } catch (e) {
-      if (e instanceof protobuf.util.ProtocolError) {
-        // e.instance holds the so far decoded message with missing required fields
-      } else {
-        // wire format is invalid
-      }
-  }
-  ```
-
-* **Message.decodeDelimited**(reader: `Reader|Uint8Array`): `Message`<br />
-  works like `Message.decode` but additionally reads the length of the message prepended as a varint.
-
-* **Message.create**(properties: `Object`): `Message`<br />
-  creates a new **message instance** from a set of properties that satisfy the requirements of a valid message. Where applicable, it is recommended to prefer `Message.create` over `Message.fromObject` because it doesn't perform possibly redundant conversion.
-
-  ```js
-  var message = AwesomeMessage.create({ awesomeField: "AwesomeString" });
-  ```
-
-* **Message.fromObject**(object: `Object`): `Message`<br />
-  converts any non-valid **plain JavaScript object** to a **message instance** using the conversion steps outlined within the table above.
-
-  ```js
-  var message = AwesomeMessage.fromObject({ awesomeField: 42 });
-  // converts awesomeField to a string
-  ```
-
-* **Message.toObject**(message: `Message` [, options: `ConversionOptions`]): `Object`<br />
-  converts a **message instance** to an arbitrary **plain JavaScript object** for interoperability with other libraries or storage. The resulting plain JavaScript object *might* still satisfy the requirements of a valid message depending on the actual conversion options specified, but most of the time it does not.
-
-  ```js
-  var object = AwesomeMessage.toObject(message, {
-    enums: String,  // enums as string names
-    longs: String,  // longs as strings (requires long.js)
-    bytes: String,  // bytes as base64 encoded strings
-    defaults: true, // includes default values
-    arrays: true,   // populates empty arrays (repeated fields) even if defaults=false
-    objects: true,  // populates empty objects (map fields) even if defaults=false
-    oneofs: true    // includes virtual oneof fields set to the present field's name
-  });
-  ```
-
-For reference, the following diagram aims to display relationships between the different methods and the concept of a valid message:
-
-<p align="center"><img alt="Toolset Diagram" src="https://protobufjs.github.io/protobuf.js/toolset.svg" /></p>
-
-> In other words: `verify` indicates that calling `create` or `encode` directly on the plain object will [result in a valid message respectively] succeed. `fromObject`, on the other hand, does conversion from a broader range of plain objects to create valid messages. ([ref](https://github.com/protobufjs/protobuf.js/issues/748#issuecomment-291925749))
-
-Examples
---------
-
-### Using .proto files
-
-It is possible to load existing .proto files using the full library, which parses and compiles the definitions to ready to use (reflection-based) message classes:
-
-```protobuf
-// awesome.proto
-package awesomepackage;
-syntax = "proto3";
-
-message AwesomeMessage {
-    string awesome_field = 1; // becomes awesomeField
-}
-```
-
-```js
-protobuf.load("awesome.proto", function(err, root) {
-    if (err)
-        throw err;
-
-    // Obtain a message type
-    var AwesomeMessage = root.lookupType("awesomepackage.AwesomeMessage");
-
-    // Exemplary payload
-    var payload = { awesomeField: "AwesomeString" };
-
-    // Verify the payload if necessary (i.e. when possibly incomplete or invalid)
-    var errMsg = AwesomeMessage.verify(payload);
-    if (errMsg)
-        throw Error(errMsg);
-
-    // Create a new message
-    var message = AwesomeMessage.create(payload); // or use .fromObject if conversion is necessary
-
-    // Encode a message to an Uint8Array (browser) or Buffer (node)
-    var buffer = AwesomeMessage.encode(message).finish();
-    // ... do something with buffer
-
-    // Decode an Uint8Array (browser) or Buffer (node) to a message
-    var message = AwesomeMessage.decode(buffer);
-    // ... do something with message
-
-    // If the application uses length-delimited buffers, there is also encodeDelimited and decodeDelimited.
-
-    // Maybe convert the message back to a plain object
-    var object = AwesomeMessage.toObject(message, {
-        longs: String,
-        enums: String,
-        bytes: String,
-        // see ConversionOptions
-    });
-});
-```
-
-Additionally, promise syntax can be used by omitting the callback, if preferred:
-
-```js
-protobuf.load("awesome.proto")
-    .then(function(root) {
-       ...
-    });
-```
-
-### Using JSON descriptors
-
-The library utilizes JSON descriptors that are equivalent to a .proto definition. For example, the following is identical to the .proto definition seen above:
-
-```json
-// awesome.json
-{
-  "nested": {
-    "awesomepackage": {
-      "nested": {
-        "AwesomeMessage": {
-          "fields": {
-            "awesomeField": {
-              "type": "string",
-              "id": 1
-            }
-          }
-        }
-      }
-    }
-  }
-}
-```
-
-JSON descriptors closely resemble the internal reflection structure:
-
-| Type (T)           | Extends            | Type-specific properties
-|--------------------|--------------------|-------------------------
-| *ReflectionObject* |                    | options
-| *Namespace*        | *ReflectionObject* | nested
-| Root               | *Namespace*        | **nested**
-| Type               | *Namespace*        | **fields**
-| Enum               | *ReflectionObject* | **values**
-| Field              | *ReflectionObject* | rule, **type**, **id**
-| MapField           | Field              | **keyType**
-| OneOf              | *ReflectionObject* | **oneof** (array of field names)
-| Service            | *Namespace*        | **methods**
-| Method             | *ReflectionObject* | type, **requestType**, **responseType**, requestStream, responseStream
-
-* **Bold properties** are required. *Italic types* are abstract.
-* `T.fromJSON(name, json)` creates the respective reflection object from a JSON descriptor
-* `T#toJSON()` creates a JSON descriptor from the respective reflection object (its name is used as the key within the parent)
-
-Exclusively using JSON descriptors instead of .proto files enables the use of just the light library (the parser isn't required in this case).
-
-A JSON descriptor can either be loaded the usual way:
-
-```js
-protobuf.load("awesome.json", function(err, root) {
-    if (err) throw err;
-
-    // Continue at "Obtain a message type" above
-});
-```
-
-Or it can be loaded inline:
-
-```js
-var jsonDescriptor = require("./awesome.json"); // exemplary for node
-
-var root = protobuf.Root.fromJSON(jsonDescriptor);
-
-// Continue at "Obtain a message type" above
-```
-
-### Using reflection only
-
-Both the full and the light library include full reflection support. One could, for example, define the .proto definitions seen in the examples above using just reflection:
-
-```js
-...
-var Root  = protobuf.Root,
-    Type  = protobuf.Type,
-    Field = protobuf.Field;
-
-var AwesomeMessage = new Type("AwesomeMessage").add(new Field("awesomeField", 1, "string"));
-
-var root = new Root().define("awesomepackage").add(AwesomeMessage);
-
-// Continue at "Create a new message" above
-...
-```
-
-Detailed information on the reflection structure is available within the [API documentation](#additional-documentation).
-
-### Using custom classes
-
-Message classes can also be extended with custom functionality and it is also possible to register a custom constructor with a reflected message type:
-
-```js
-...
-
-// Define a custom constructor
-function AwesomeMessage(properties) {
-    // custom initialization code
-    ...
-}
-
-// Register the custom constructor with its reflected type (*)
-root.lookupType("awesomepackage.AwesomeMessage").ctor = AwesomeMessage;
-
-// Define custom functionality
-AwesomeMessage.customStaticMethod = function() { ... };
-AwesomeMessage.prototype.customInstanceMethod = function() { ... };
-
-// Continue at "Create a new message" above
-```
-
-(*) Besides referencing its reflected type through `AwesomeMessage.$type` and `AwesomeMesage#$type`, the respective custom class is automatically populated with:
-
-* `AwesomeMessage.create`
-* `AwesomeMessage.encode` and `AwesomeMessage.encodeDelimited`
-* `AwesomeMessage.decode` and `AwesomeMessage.decodeDelimited`
-* `AwesomeMessage.verify`
-* `AwesomeMessage.fromObject`, `AwesomeMessage.toObject` and `AwesomeMessage#toJSON`
-
-Afterwards, decoded messages of this type are `instanceof AwesomeMessage`.
-
-Alternatively, it is also possible to reuse and extend the internal constructor if custom initialization code is not required:
-
-```js
-...
-
-// Reuse the internal constructor
-var AwesomeMessage = root.lookupType("awesomepackage.AwesomeMessage").ctor;
-
-// Define custom functionality
-AwesomeMessage.customStaticMethod = function() { ... };
-AwesomeMessage.prototype.customInstanceMethod = function() { ... };
-
-// Continue at "Create a new message" above
-```
-
-### Using services
-
-The library also supports consuming services but it doesn't make any assumptions about the actual transport channel. Instead, a user must provide a suitable RPC implementation, which is an asynchronous function that takes the reflected service method, the binary request and a node-style callback as its parameters:
-
-```js
-function rpcImpl(method, requestData, callback) {
-    // perform the request using an HTTP request or a WebSocket for example
-    var responseData = ...;
-    // and call the callback with the binary response afterwards:
-    callback(null, responseData);
-}
-```
-
-Below is a working example with a typescript implementation using grpc npm package.
-```ts
-const grpc = require('grpc')
-
-const Client = grpc.makeGenericClientConstructor({})
-const client = new Client(
-  grpcServerUrl,
-  grpc.credentials.createInsecure()
-)
-
-const rpcImpl = function(method, requestData, callback) {
-  client.makeUnaryRequest(
-    method.name,
-    arg => arg,
-    arg => arg,
-    requestData,
-    callback
-  )
-}
-```
-
-Example:
-
-```protobuf
-// greeter.proto
-syntax = "proto3";
-
-service Greeter {
-    rpc SayHello (HelloRequest) returns (HelloReply) {}
-}
-
-message HelloRequest {
-    string name = 1;
-}
-
-message HelloReply {
-    string message = 1;
-}
-```
-
-```js
-...
-var Greeter = root.lookup("Greeter");
-var greeter = Greeter.create(/* see above */ rpcImpl, /* request delimited? */ false, /* response delimited? */ false);
-
-greeter.sayHello({ name: 'you' }, function(err, response) {
-    console.log('Greeting:', response.message);
-});
-```
-
-Services also support promises:
-
-```js
-greeter.sayHello({ name: 'you' })
-    .then(function(response) {
-        console.log('Greeting:', response.message);
-    });
-```
-
-There is also an [example for streaming RPC](https://github.com/protobufjs/protobuf.js/blob/master/examples/streaming-rpc.js).
-
-Note that the service API is meant for clients. Implementing a server-side endpoint pretty much always requires transport channel (i.e. http, websocket, etc.) specific code with the only common denominator being that it decodes and encodes messages.
-
-### Usage with TypeScript
-
-The library ships with its own [type definitions](https://github.com/protobufjs/protobuf.js/blob/master/index.d.ts) and modern editors like [Visual Studio Code](https://code.visualstudio.com/) will automatically detect and use them for code completion.
-
-The npm package depends on [@types/node](https://www.npmjs.com/package/@types/node) because of `Buffer` and [@types/long](https://www.npmjs.com/package/@types/long) because of `Long`. If you are not building for node and/or not using long.js, it should be safe to exclude them manually.
-
-#### Using the JS API
-
-The API shown above works pretty much the same with TypeScript. However, because everything is typed, accessing fields on instances of dynamically generated message classes requires either using bracket-notation (i.e. `message["awesomeField"]`) or explicit casts. Alternatively, it is possible to use a [typings file generated for its static counterpart](#pbts-for-typescript).
-
-```ts
-import { load } from "protobufjs"; // respectively "./node_modules/protobufjs"
-
-load("awesome.proto", function(err, root) {
-  if (err)
-    throw err;
-
-  // example code
-  const AwesomeMessage = root.lookupType("awesomepackage.AwesomeMessage");
-
-  let message = AwesomeMessage.create({ awesomeField: "hello" });
-  console.log(`message = ${JSON.stringify(message)}`);
-
-  let buffer = AwesomeMessage.encode(message).finish();
-  console.log(`buffer = ${Array.prototype.toString.call(buffer)}`);
-
-  let decoded = AwesomeMessage.decode(buffer);
-  console.log(`decoded = ${JSON.stringify(decoded)}`);
-});
-```
-
-#### Using generated static code
-
-If you generated static code to `bundle.js` using the CLI and its type definitions to `bundle.d.ts`, then you can just do:
-
-```ts
-import { AwesomeMessage } from "./bundle.js";
-
-// example code
-let message = AwesomeMessage.create({ awesomeField: "hello" });
-let buffer  = AwesomeMessage.encode(message).finish();
-let decoded = AwesomeMessage.decode(buffer);
-```
-
-#### Using decorators
-
-The library also includes an early implementation of [decorators](https://www.typescriptlang.org/docs/handbook/decorators.html).
-
-**Note** that decorators are an experimental feature in TypeScript and that declaration order is important depending on the JS target. For example, `@Field.d(2, AwesomeArrayMessage)` requires that `AwesomeArrayMessage` has been defined earlier when targeting `ES5`.
-
-```ts
-import { Message, Type, Field, OneOf } from "protobufjs/light"; // respectively "./node_modules/protobufjs/light.js"
-
-export class AwesomeSubMessage extends Message<AwesomeSubMessage> {
-
-  @Field.d(1, "string")
-  public awesomeString: string;
-
-}
-
-export enum AwesomeEnum {
-  ONE = 1,
-  TWO = 2
-}
-
-@Type.d("SuperAwesomeMessage")
-export class AwesomeMessage extends Message<AwesomeMessage> {
-
-  @Field.d(1, "string", "optional", "awesome default string")
-  public awesomeField: string;
-
-  @Field.d(2, AwesomeSubMessage)
-  public awesomeSubMessage: AwesomeSubMessage;
-
-  @Field.d(3, AwesomeEnum, "optional", AwesomeEnum.ONE)
-  public awesomeEnum: AwesomeEnum;
-
-  @OneOf.d("awesomeSubMessage", "awesomeEnum")
-  public which: string;
-
-}
-
-// example code
-let message = new AwesomeMessage({ awesomeField: "hello" });
-let buffer  = AwesomeMessage.encode(message).finish();
-let decoded = AwesomeMessage.decode(buffer);
-```
-
-Supported decorators are:
-
-* **Type.d(typeName?: `string`)** &nbsp; *(optional)*<br />
-  annotates a class as a protobuf message type. If `typeName` is not specified, the constructor's runtime function name is used for the reflected type.
-
-* **Field.d&lt;T>(fieldId: `number`, fieldType: `string | Constructor<T>`, fieldRule?: `"optional" | "required" | "repeated"`, defaultValue?: `T`)**<br />
-  annotates a property as a protobuf field with the specified id and protobuf type.
-
-* **MapField.d&lt;T extends { [key: string]: any }>(fieldId: `number`, fieldKeyType: `string`, fieldValueType. `string | Constructor<{}>`)**<br />
-  annotates a property as a protobuf map field with the specified id, protobuf key and value type.
-
-* **OneOf.d&lt;T extends string>(...fieldNames: `string[]`)**<br />
-  annotates a property as a protobuf oneof covering the specified fields.
-
-Other notes:
-
-* Decorated types reside in `protobuf.roots["decorated"]` using a flat structure, so no duplicate names.
-* Enums are copied to a reflected enum with a generic name on decorator evaluation because referenced enum objects have no runtime name the decorator could use.
-* Default values must be specified as arguments to the decorator instead of using a property initializer for proper prototype behavior.
-* Property names on decorated classes must not be renamed on compile time (i.e. by a minifier) because decorators just receive the original field name as a string.
-
-**ProTip!** Not as pretty, but you can [use decorators in plain JavaScript](https://github.com/protobufjs/protobuf.js/blob/master/examples/js-decorators.js) as well.
-
-Additional documentation
-------------------------
-
-#### Protocol Buffers
-* [Google's Developer Guide](https://protobuf.dev/overview/)
-
-#### protobuf.js
-* [API Documentation](https://protobufjs.github.io/protobuf.js)
-* [CHANGELOG](https://github.com/protobufjs/protobuf.js/blob/master/CHANGELOG.md)
-* [Frequently asked questions](https://github.com/protobufjs/protobuf.js/wiki) on our wiki
-
-#### Community
-* [Questions and answers](http://stackoverflow.com/search?tab=newest&q=protobuf.js) on StackOverflow
-
-Performance
------------
-The package includes a benchmark that compares protobuf.js performance to native JSON (as far as this is possible) and [Google's JS implementation](https://github.com/google/protobuf/tree/master/js). On an i7-2600K running node 6.9.1 it yields:
-
-```
-benchmarking encoding performance ...
-
-protobuf.js (reflect) x 541,707 ops/sec ±1.13% (87 runs sampled)
-protobuf.js (static) x 548,134 ops/sec ±1.38% (89 runs sampled)
-JSON (string) x 318,076 ops/sec ±0.63% (93 runs sampled)
-JSON (buffer) x 179,165 ops/sec ±2.26% (91 runs sampled)
-google-protobuf x 74,406 ops/sec ±0.85% (86 runs sampled)
-
-   protobuf.js (static) was fastest
-  protobuf.js (reflect) was 0.9% ops/sec slower (factor 1.0)
-          JSON (string) was 41.5% ops/sec slower (factor 1.7)
-          JSON (buffer) was 67.6% ops/sec slower (factor 3.1)
-        google-protobuf was 86.4% ops/sec slower (factor 7.3)
-
-benchmarking decoding performance ...
-
-protobuf.js (reflect) x 1,383,981 ops/sec ±0.88% (93 runs sampled)
-protobuf.js (static) x 1,378,925 ops/sec ±0.81% (93 runs sampled)
-JSON (string) x 302,444 ops/sec ±0.81% (93 runs sampled)
-JSON (buffer) x 264,882 ops/sec ±0.81% (93 runs sampled)
-google-protobuf x 179,180 ops/sec ±0.64% (94 runs sampled)
-
-  protobuf.js (reflect) was fastest
-   protobuf.js (static) was 0.3% ops/sec slower (factor 1.0)
-          JSON (string) was 78.1% ops/sec slower (factor 4.6)
-          JSON (buffer) was 80.8% ops/sec slower (factor 5.2)
-        google-protobuf was 87.0% ops/sec slower (factor 7.7)
-
-benchmarking combined performance ...
-
-protobuf.js (reflect) x 275,900 ops/sec ±0.78% (90 runs sampled)
-protobuf.js (static) x 290,096 ops/sec ±0.96% (90 runs sampled)
-JSON (string) x 129,381 ops/sec ±0.77% (90 runs sampled)
-JSON (buffer) x 91,051 ops/sec ±0.94% (90 runs sampled)
-google-protobuf x 42,050 ops/sec ±0.85% (91 runs sampled)
-
-   protobuf.js (static) was fastest
-  protobuf.js (reflect) was 4.7% ops/sec slower (factor 1.0)
-          JSON (string) was 55.3% ops/sec slower (factor 2.2)
-          JSON (buffer) was 68.6% ops/sec slower (factor 3.2)
-        google-protobuf was 85.5% ops/sec slower (factor 6.9)
-```
-
-These results are achieved by
-
-* generating type-specific encoders, decoders, verifiers and converters at runtime
-* configuring the reader/writer interface according to the environment
-* using node-specific functionality where beneficial and, of course
-* avoiding unnecessary operations through splitting up [the toolset](#toolset).
-
-You can also run [the benchmark](https://github.com/protobufjs/protobuf.js/blob/master/bench/index.js) ...
-
-```
-$> npm run bench
-```
-
-and [the profiler](https://github.com/protobufjs/protobuf.js/blob/master/bench/prof.js) yourself (the latter requires a recent version of node):
-
-```
-$> npm run prof <encode|decode|encode-browser|decode-browser> [iterations=10000000]
-```
-
-Note that as of this writing, the benchmark suite performs significantly slower on node 7.2.0 compared to 6.9.1 because moths.
-
-Compatibility
--------------
-
-* Works in all modern and not-so-modern browsers except IE8.
-* Because the internals of this package do not rely on `google/protobuf/descriptor.proto`, options are parsed and presented literally.
-* If typed arrays are not supported by the environment, plain arrays will be used instead.
-* Support for pre-ES5 environments (except IE8) can be achieved by [using a polyfill](https://github.com/protobufjs/protobuf.js/blob/master/lib/polyfill.js).
-* Support for [Content Security Policy](https://w3c.github.io/webappsec-csp/)-restricted environments (like Chrome extensions without unsafe-eval) can be achieved by generating and using static code instead.
-* If a proper way to work with 64 bit values (uint64, int64 etc.) is required, just install [long.js](https://github.com/dcodeIO/long.js) alongside this library. All 64 bit numbers will then be returned as a `Long` instance instead of a possibly unsafe JavaScript number ([see](https://github.com/dcodeIO/long.js)).
-* For descriptor.proto interoperability, see [ext/descriptor](https://github.com/protobufjs/protobuf.js/tree/master/ext/descriptor)
-
-Building
---------
-
-To build the library or its components yourself, clone it from GitHub and install the development dependencies:
-
-```
-$> git clone https://github.com/protobufjs/protobuf.js.git
-$> cd protobuf.js
-$> npm install
-```
-
-Building the respective development and production versions with their respective source maps to `dist/`:
-
-```
-$> npm run build
-```
-
-Building the documentation to `docs/`:
-
-```
-$> npm run docs
-```
-
-Building the TypeScript definition to `index.d.ts`:
-
-```
-$> npm run build:types
-```
-
-### Browserify integration
-
-By default, protobuf.js integrates into any browserify build-process without requiring any optional modules. Hence:
-
-* If int64 support is required, explicitly require the `long` module somewhere in your project as it will be excluded otherwise. This assumes that a global `require` function is present that protobuf.js can call to obtain the long module.
-
-  If there is no global `require` function present after bundling, it's also possible to assign the long module programmatically:
-
-  ```js
-  var Long = ...;
-
-  protobuf.util.Long = Long;
-  protobuf.configure();
-  ```
-
-* If you have any special requirements, there is [the bundler](https://github.com/protobufjs/protobuf.js/blob/master/scripts/bundle.js) for reference.
-
-**License:** [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause)