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```csharp
public class Mesh : Base
{
// Typed array of 3
public List<double> vertices { get; set; }
// ...
}
``` | [
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Instead of storing each individual vertex as a point, you store them in a typed array. Serialisation will be much faster and leaner. | [
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] |
Alternatively, you might still have a simple `List<double>` that expands to millions+ of items, like in the case of a very large mesh. | [
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In the cases above, the best way is to mark the property as `Chunkable` together with `[DetachProperty]`. This will tell the serialiser that it should split it into manageable chunks of items, the size of which you can control. | [
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] |
```csharp
public class Mesh : Base
{
[DetachProperty]
[Chunkable(20000)] // Chunks this array into batches of 20k numbers
public List<double> vertices { get; set; } = new List<double>(); | [
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[DetachProperty]
[Chunkable(20000)] // Chunks this array into batches of 20k numbers
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[DetachProperty]
[Chunkable(20000)] // Chunks this array into batches of 20k numbers
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[DetachProperty]
[Chunkable(20000)] // Chunks this array into batches of 20k numbers
public List<double> textureCoordinates { get; set; } = new List<double>();
}
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The DetachProperty attribute by itself can be a performance footgun in some scenarios: for example, if you have a `List<Point>` that can grow really big and you mark it as detachable, without marking it as chunkable, each individual point in that list will be stored as a separate entity. | [
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End users and developers can now productively control the way they structure their design data through the decomposition mechanism. From the point of view of the future Speckle connectors, this will enable us to expose object model flexibility in a more elegant way than before to end users. As developers, Speckle gives you another powerful API on top of which you can scaffold your digital automation workflows. | [
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More importantly, this allows you to store arbitrary data structures (scaffolded on top of a `Base`) with Speckle, without paying any penalties: **Speckle deals equally well with flat and nested data.**
# Introduction | [
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Our .NET SDK is called [Core](https://github.com/specklesystems/speckle-sharp/tree/master/Core), and it's part of our [SpeckleSharp repo](https://github.com/specklesystems/speckle-sharp). Together with it you might find useful [Objects](https://github.com/specklesystems/speckle-sharp/tree/master/Objects), our default kit. | [
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We have published various NuGets to make it simpler to use Speckle in your next .NET project. Here's what's available at the moment: | [
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Here's a quick summary of the main tasks Core helps you with: | [
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- sending and receiving data to and from multiple transports
- speckle kit management & data conversion (the interoperability core)
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- stream, branch and commit api calls
- update notifications (subscriptions)
- local account management | [
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Speckle allows you to structure your data in any way you like. Here's a quick example: | [
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The `Base` object behaves like a dictionary - with some added Speckle smarts - and lets you organically compose your data in any way you want. | [
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] |
For more advanced usage, check [the tests out](https://github.com/specklesystems/speckle-sharp/blob/master/Core/Tests/BaseTests.cs)!
More on `Base` [can be found here](/dev/base) | [
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For advanced use of `Base`, please see how our [BuiltElement classes](https://github.com/specklesystems/speckle-sharp/tree/master/Objects/Objects/BuiltElements) have been structured inheriting from `Base`. | [
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] |
Sending data to Speckle is also pretty straightforward. Assuming you have SpeckleManager set up locally, all you need to do is: | [
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var commitId = Helpers.Send("Stream URL or ID", data, "My commit message").Result;
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If you want more control on how and where to your data is Sent, just use some of our lower lever functions.
For instance: | [
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] |
var objectId = await Operations.Send(
data,
new List<ITransport> { transport },
useDefaultCache,
onProgressAction,
onErrorAction, disposeTransports: true); | [
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var commitId = await client.CommitCreate(
new CommitCreateInput
{
streamId = sw.StreamId,
branchName = branchName,
objectId = objectId,
message = message,
sourceApplication = sourceApplication,
totalChildrenCount = totalChildrenCount,
});
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Receiving data from Speckle couldn't be easier when using our SDKs. Assuming you have SpeckleManager set up locally, all you need to do is: | [
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The `Helpers.Receive` takes optional arguments for specifying an `account` (otherwise the default will be used) and for progress/error reporting. | [
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] |
If you want more control on how and where from your data is Received, just use some of our lower lever functions.
For instance, the code below receives the last commit of a stream from a specific branch: | [
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var streamId = "streamId";
var branchName = "main";
var client = new Client(account);
var branch = await client.BranchGet(streamId, branchName, 1);
var objectId = branch.commits.items[0].referencedObject; // take last commit | [
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] |
var data = await Operations.Receive(
objectId,
remoteTransport: transport,
onErrorAction: onErrorAction,
onProgressAction: onProgressAction,
onTotalChildrenCountKnown: onTotalChildrenCountKnown,
disposeTransports: true
); | [
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But you can of course also use Core in environments where Manager is not available, for example in a serverless function.
To do so (and avoid worrying about authentication), we first need to set up a [personal access token](/dev/tokens). | [
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Then, we can create a basic `Account` and pass it to a new `Client` and use the API as usual, see full example below: | [
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] |
namespace SpeckleSampleApp
{
class Program
{
static void Main(string[] args)
{
var account = new Account();
account.token = "YOUR-PERSONAL-ACCESS-TOKEN";
account.serverInfo = new ServerInfo
{
url = "https://app.speckle.systems/"
}; | [
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var client = new Client(account);
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Alternatively, if you don't want to use a personal access token you'd need to take care of the auth flow yourself, this functionality is not currently present in Core.
# Using Google Apps Scripts | [
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Using Speckle in [Google Apps Scripts](https://developers.google.com/apps-script) is very simple, and fun! With just a few lines of code, you'll be able to send, receive and leverage our API from Google Sheets, Docs etc. | [
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First of all we need to create a [Personal Access Token](/dev/tokens), make sure to select the scopes that you'll need for running your queries and mutations.
As always, treat this token as a password! | [
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To learn how to write queries check out our section on the [Server API](/dev/server-api), and use the GraphQL explorer to make sure your query or mutation works as expected. | [
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Next, since App Scripts doesn't have a GraphQL library we need to transform them a bit to work with `UrlFetchApp`, it's just a matter of setting the right payload and parameters. | [
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] |
Here's what a function that runs a query to get the currently logged user looks like, remember to replace `YOUR_SERVER_ADDRESS` and `YOUR_PERSONAL_TOKEN`.
You can extend its fields to get the streams, branches and commits as well: | [
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] |
```js
function getMe() {
let url = "https://YOUR_SERVER_ADDRESS/graphql";
let graphql = JSON.stringify({
query: `query User {
user{
id,
email,
name
}
}`,
variables: null,
});
let params = {
method: "POST",
payload: graphql,
headers: {
"Content-Type": "application/json",
Authorization: "Bearer YOUR_PERSONAL_TOKEN",
},
};
var response = UrlFetchApp.fetch(url, params); | [
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How do you create a token, we hear you ask? Read the section on [personal access tokens](/dev/tokens.html)! | [
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] |
Here's a function that runs a mutation to create a new stream: | [
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```js
function createStream() {
let url = "https://YOUR_SERVER_ADDRESS/graphql";
let graphql = JSON.stringify({
query: `mutation streamCreate($myStream: StreamCreateInput!) { streamCreate(stream: $myStream) }`,
variables: {
myStream: {
name: "Sample Stream",
description: "Created from Google Sheets!",
},
},
});
let params = {
method: "POST",
payload: graphql,
headers: {
"Content-Type": "application/json",
Authorization: "Bearer YOUR_PERSONAL_TOKEN",
},
};
var response = UrlFetchApp.fetch(url, params); | [
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] |
This is all! If you have any questions feel free to ping us on the [👉 forum](http://speckle.community/).
# Introduction | [
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For development purposes, to start a webpack live reload server run: | [
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Syntax and examples for supported API methods. The examples assume a Viewer instance named `v`. | [
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] |
This returns a dictionary with `{ propertyName: propertyInfo }` elements. The property information provided is:
- `type` ( == `'string'` / `'number'` / `'boolean'`): the property type
- `objectCount` (int): How many objects in the scene have this property
- `allValues` (array of `objectCount` elements): The values for this property of all objects that have this property
- `minValue` - the smallest value (using `<` operator, works also on strings)
- `maxValue` - the largest value
- `uniqueValues` - a dictionary of `{ uniqueValue: occurrenceCount }` elements, specifying how many objects have the property set to that specific value | [
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The 3 optional parameters are:
- `filterBy`: A dictionary that specify the filter. Elements are in the form `{ propertyName: propertyValueFilter }`. The propertyValueFilter can be one of:
- A specific value: (only objects with that property value pass the filter)
- An array of values: An object passes the filter if its value is in the array
- A range of values, specified by `{ 'gte': value1, 'lte': value2 }` (greater than or equal, lower than or equal)
- An exclusion list, specified by `{ 'not': excludedValuesArray }` | [
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- `colorBy`: A dictionary that makes all objects colored based on a property value. Two types of coloring are supported:
- Gradient (from a numeric property): `{ 'type': 'gradient', 'property': propertyName, 'minValue': propertyMinValue, 'maxValue': propertyMaxValue, 'gradientColors': [color1, color2] }`
- Category (for coloring each unique value differently): `{ 'type': 'category', 'property': propertyName, 'values': { value1: color1, value2: color2, ... }, 'default': colorForAnyOtherValue }`. The `values` and the `default` parameters are optional: Random colors are generated if they are omitted. | [
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] |
- filter and color levels by name
```js
v.applyFilter({filterBy: {'level.name': ['3FL', '4FL', '7FL']}, colorBy: { property: 'level.name', type: 'category', values: {'3FL': '#F0FFFF', '4FL': '#6495ED', '7FL': '#7B68EE'} }, ghostOthers: true } )
``` | [
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- color by property (e.g. 'baseLine')
```js
v.applyFilter({colorBy: { property: 'baseLine.start.x', type: 'gradient', minValue: -7200, maxValue: 33000, 'gradientColors': ['white', 'CornflowerBlue', 'BlueViolet'] } } )
``` | [
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Writing your own kit is a quite simple task, as long as you are not intimidated by the various AEC software APIs 😁.
As mentioned in [this page](/dev/kits), kits are made of: | [
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A good example is the Objects kit, in our [speckle-sharp repo](https://github.com/specklesystems/speckle-sharp/tree/master/Objects). | [
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::: tip IMPORTANT 🙌
Kit selection is not yet available in most of our connectors. We are planning to add it soon!
::: | [
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An Object Model is just a collection _data structures_. These are the types that the kit is supporting, and for which conversion routines need to be written so that you can send and receive from Speckle. | [
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There are a few general rules to keep in mind when writing these classes. | [
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This ensures serialisation and deserialisation happen through Speckle, with the default sane serialisation handling that we know we can support. Most importantly, it will enable type name handling and cross-kit legibility. For more on the `Base` class, head to the [Base Object](/dev/base) section. | [
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You can always recreate them post deserialisation using a function flagged with the `[OnDeserialized]` attribute like so: | [
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] |
```cs
[OnDeserialized]
internal void onDeserialized(StreamingContext context)
{
Edges.ForEach(e => e.Brep = this);
Loops.ForEach(l => l.Brep = this);
Trims.ForEach(t => t.Brep = this);
Faces.ForEach(f => f.Brep = this);
}
``` | [
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You should prefer typed arrays over lists of non-primitive values. For example, instead of a `List<Point>` for keeping track of mesh vertices, use a `List<double>` | [
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With these rules in mind, creating your own classes by inheriting from `Base` is relatively straight forward. Additionally, there are also a few [interfaces](https://github.com/specklesystems/speckle-sharp/blob/master/Objects/Objects/Interfaces.cs) an object can inherit from including `ICurve`, `IHasArea`, `IHasVolume`, and `IHasBoundingBox`. | [
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For a simple example, this is what our [box class](https://github.com/specklesystems/speckle-sharp/blob/master/Objects/Objects/Geometry/Box.cs) looks like: | [
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] |
```cs
public class Box : Base, IHasVolume, IHasArea, IHasBoundingBox
{
public Plane basePlane { get; set; } | [
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public Box(Plane basePlane, Interval xSize, Interval ySize, Interval zSize, string units = Units.Meters, string applicationId = null)
{
this.basePlane = basePlane;
this.xSize = xSize;
this.ySize = ySize;
this.zSize = zSize;
this.applicationId = applicationId;
this.units = units;
}
}
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0.27230775356292725,
0.03712725266814232,
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] |
Converters are the key to interoperability. They include the conversion routines for objects to and from the object model types. You create a new converter for each different application you want to support by inheriting from the [`ISpeckleConverter` interface](https://github.com/specklesystems/speckle-sharp/blob/master/Core/Core/Kits/ISpeckleConverter.cs). All your converters should live together in the same kit alongside your types. You can see how we've implemented converters in our default Objects kit [here](https://github.com/specklesystems/speckle-sharp/tree/master/Objects/Converters). | [
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Converters exist in the `MyKit.Converter` namespace and can either be broken up into smaller partial classes for each supported type (see the Revit Converter) or for each category (eg `ConverterX.Geometry` and `ConverterX.BuiltElements` as in the rest of our converters). | [
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] |
The converters must implement two key methods (plus a few others not described here): | [
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- `ConvertToNative`: converts a Speckle object to the native software
- `ConvertToSpeckle`: converts a native software object to Speckle | [
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] |
The specific conversion routines for each supported type are defined separately and called from these key methods. If the type is not supported, an error should be added to the converter's `ConversionErrors` and a null object should be returned. | [
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For example, here is a shortened version of the [`ConvertToSpeckle`](https://github.com/specklesystems/speckle-sharp/blob/master/Objects/Converters/ConverterRevit/ConverterRevitShared/ConverterRevit.cs#L69-L154) method in `ConverterRevit`: | [
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] |
```cs
public Base ConvertToSpeckle(object @object)
{
Base returnObject = null;
switch (@object)
{
case DB.DetailCurve o:
returnObject = DetailCurveToSpeckle(o);
break;
case DB.DirectShape o:
returnObject = DirectShapeToSpeckle(o);
break;
case DB.FamilyInstance o:
returnObject = FamilyInstanceToSpeckle(o);
break;
case DB.Floor o:
returnObject = FloorToSpeckle(o);
break;
// etc ...
default:
ConversionErrors.Add(new Error("Type not supported", $"Cannot convert {@object.GetType()} to Speckle"));
returnObject = null;
break;
} | [
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And here is the Revit [`BeamToSpeckle`](https://github.com/specklesystems/speckle-sharp/blob/9ba30e125f2bd65d2f746563d00a90a736ade116/Objects/Converters/ConverterRevit/ConverterRevitShared/Partial%20Classes/ConvertBeam.cs#L93-L111) method which is called by the `FamilyInstanceToSpeckle` conversion: | [
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```cs
private RevitBeam BeamToSpeckle(DB.FamilyInstance revitBeam)
{
var baseGeometry = LocationToSpeckle(revitBeam);
var baseLine = baseGeometry as ICurve;
if (baseLine == null)
{
throw new Exception("Only line based Beams are currently supported.");
} | [
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Once you've got your object model and your conversion routines, you can officially put together your kit by inheriting from the [`ISpeckleKit` interface](https://github.com/specklesystems/speckle-sharp/blob/master/Core/Core/Kits/ISpeckleKit.cs) and register your `Types` and `Converters`. | [
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/// <summary>
/// Tries to load a converter for a specific app.
/// </summary>
/// <param name="app">Must be one of the Kits.Applications variables.</param>
/// <returns>The converter for the specific app, or null.</returns>
public ISpeckleConverter LoadConverter(string app); | [
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The KitManager is a handy tool for loading up different kits. By default, it looks for the kits in `%AppData%/Speckle/Kits`. To explore all its features, have a look at the code [here](https://github.com/specklesystems/speckle-sharp/blob/master/Core/Core/Kits/KitManager.cs). | [
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See below for a simple example of getting a list of available kits, selecting a specific kit, and loading a converter. | [
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```cs
// Get a list of all available kits
var kits = KitManager.Kits | [
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// Get a specific kit by name or from the assembly full name
var kitByName = KitManager.Kits.FirstOrDefault(kit => kit.Name == "CoreKit");
var kitFromAssembly = KitManager.GetKit(typeof(CoreKit).Assembly.FullName); | [
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Kits were originally discussed on the community forum. Check out [the original thread](https://speckle.community/t/introducing-kits-2-0/710)! | [
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This page covers what kits are and do and the basic concepts behind them. [Here can read how to write your own kit](/dev/kits-dev). | [
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::: tip NOTE
Currently kits are only supported by our .NET SDK
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Kits are at the heart of how Speckle _manages_ interoperability. They are, in a nutshell, a package consisting of: | [
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- **an object model** that defines the structure of the data
- **a set of converters**, implementations for various AEC authoring applications (ie, conversion routines that make the translations happen) | [
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