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…- maridb-release (#19908)

* workspaces-release

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* workspaces-update

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* update machinelearning-ci,yml
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303 changes: 234 additions & 69 deletions common/config/rush/pnpm-lock.yaml

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30 changes: 30 additions & 0 deletions rush.json
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"packageName": "@azure/arm-commitmentplans",
"projectFolder": "sdk/machinelearning/arm-commitmentplans",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-workspaces",
"projectFolder": "sdk/machinelearning/arm-workspaces",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-webservices",
"projectFolder": "sdk/machinelearning/arm-webservices",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-machinelearningservices",
"projectFolder": "sdk/machinelearningservices/arm-machinelearningservices",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-managementpartner",
"projectFolder": "sdk/managementpartner/arm-managementpartner",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-maps",
"projectFolder": "sdk/maps/arm-maps",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-mariadb",
"projectFolder": "sdk/mariadb/arm-mariadb",
"versionPolicyName": "management"
}
]
}
11 changes: 11 additions & 0 deletions sdk/machinelearning/arm-webservices/CHANGELOG.md
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# Release History

## 1.0.0 (2022-01-19)

The package of @azure/arm-webservices is using our next generation design principles since version 1.0.0, which contains breaking changes.

To understand the detail of the change, please refer to [Changelog](https://aka.ms/js-track2-changelog).

To migrate the existing applications to the latest version, please refer to [Migration Guide](https://aka.ms/js-track2-migration-guide).

To learn more, please refer to our documentation [Quick Start](https://aka.ms/js-track2-quickstart).
21 changes: 21 additions & 0 deletions sdk/machinelearning/arm-webservices/LICENSE
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The MIT License (MIT)

Copyright (c) 2022 Microsoft

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
145 changes: 72 additions & 73 deletions sdk/machinelearning/arm-webservices/README.md
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## Azure AzureMLWebServicesManagementClient SDK for JavaScript
# Azure ML Web Services Management client library for JavaScript

This package contains an isomorphic SDK for AzureMLWebServicesManagementClient.
This package contains an isomorphic SDK (runs both in Node.js and in browsers) for Azure ML Web Services Management client.

These APIs allow end users to operate on Azure Machine Learning Web Services resources. They support the following operations:<ul><li>Create or update a web service</li><li>Get a web service</li><li>Patch a web service</li><li>Delete a web service</li><li>Get All Web Services in a Resource Group </li><li>Get All Web Services in a Subscription</li><li>Get Web Services Keys</li></ul>

[Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearning/arm-webservices) |
[Package (NPM)](https://www.npmjs.com/package/@azure/arm-webservices) |
[API reference documentation](https://docs.microsoft.com/javascript/api/@azure/arm-webservices) |
[Samples](https://github.com/Azure-Samples/azure-samples-js-management)

## Getting started

### Currently supported environments

- [LTS versions of Node.js](https://nodejs.org/about/releases/)
- Latest versions of Safari, Chrome, Edge, and Firefox.
- Latest versions of Safari, Chrome, Edge and Firefox.

### How to Install
### Prerequisites

```
- An [Azure subscription][azure_sub].

### Install the `@azure/arm-webservices` package

Install the Azure ML Web Services Management client library for JavaScript with `npm`:

```bash
npm install @azure/arm-webservices
```

### How to use
### Create and authenticate a `AzureMLWebServicesManagementClient`

#### nodejs - Authentication, client creation and list operations as an example written in TypeScript.
To create a client object to access the Azure ML Web Services Management API, you will need the `endpoint` of your Azure ML Web Services Management resource and a `credential`. The Azure ML Web Services Management client can use Azure Active Directory credentials to authenticate.
You can find the endpoint for your Azure ML Web Services Management resource in the [Azure Portal][azure_portal].

##### Install @azure/ms-rest-nodeauth
You can authenticate with Azure Active Directory using a credential from the [@azure/identity][azure_identity] library or [an existing AAD Token](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/identity/identity/samples/AzureIdentityExamples.md#authenticating-with-a-pre-fetched-access-token).

```
npm install @azure/ms-rest-nodeauth
```
To use the [DefaultAzureCredential][defaultazurecredential] provider shown below, or other credential providers provided with the Azure SDK, please install the `@azure/identity` package:

##### Sample code

```ts
import * as msRest from "@azure/ms-rest-js";
import * as msRestAzure from "@azure/ms-rest-azure-js";
import * as msRestNodeAuth from "@azure/ms-rest-nodeauth";
import { AzureMLWebServicesManagementClient, AzureMLWebServicesManagementModels, AzureMLWebServicesManagementMappers } from "@azure/arm-webservices";
const subscriptionId = process.env["AZURE_SUBSCRIPTION_ID"];

msRestNodeAuth.interactiveLogin().then((creds) => {
const client = new AzureMLWebServicesManagementClient(creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
});
}).catch((err) => {
console.error(err);
});
```bash
npm install @azure/identity
```

#### browser - Authentication, client creation and list operations as an example written in JavaScript.
You will also need to **register a new AAD application and grant access to Azure ML Web Services Management** by assigning the suitable role to your service principal (note: roles such as `"Owner"` will not grant the necessary permissions).
Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: `AZURE_CLIENT_ID`, `AZURE_TENANT_ID`, `AZURE_CLIENT_SECRET`.

##### Install @azure/ms-rest-browserauth
For more information about how to create an Azure AD Application check out [this guide](https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal).

```javascript
const { AzureMLWebServicesManagementClient } = require("@azure/arm-webservices");
const { DefaultAzureCredential } = require("@azure/identity");
const subscriptionId = "00000000-0000-0000-0000-000000000000";
const client = new AzureMLWebServicesManagementClient(new DefaultAzureCredential(), subscriptionId);
```
npm install @azure/ms-rest-browserauth
```

##### Sample code

See https://github.com/Azure/ms-rest-browserauth to learn how to authenticate to Azure in the browser.

- index.html
```html
<!DOCTYPE html>
<html lang="en">
<head>
<title>@azure/arm-webservices sample</title>
<script src="node_modules/@azure/ms-rest-js/dist/msRest.browser.js"></script>
<script src="node_modules/@azure/ms-rest-azure-js/dist/msRestAzure.js"></script>
<script src="node_modules/@azure/ms-rest-browserauth/dist/msAuth.js"></script>
<script src="node_modules/@azure/arm-webservices/dist/arm-webservices.js"></script>
<script type="text/javascript">
const subscriptionId = "<Subscription_Id>";
const authManager = new msAuth.AuthManager({
clientId: "<client id for your Azure AD app>",
tenant: "<optional tenant for your organization>"
});
authManager.finalizeLogin().then((res) => {
if (!res.isLoggedIn) {
// may cause redirects
authManager.login();
}
const client = new Azure.ArmWebservices.AzureMLWebServicesManagementClient(res.creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
}).catch((err) => {
console.log("An error occurred:");
console.error(err);
});
});
</script>
</head>
<body></body>
</html>

### JavaScript Bundle
To use this client library in the browser, first you need to use a bundler. For details on how to do this, please refer to our [bundling documentation](https://aka.ms/AzureSDKBundling).

## Key concepts

### AzureMLWebServicesManagementClient

`AzureMLWebServicesManagementClient` is the primary interface for developers using the Azure ML Web Services Management client library. Explore the methods on this client object to understand the different features of the Azure ML Web Services Management service that you can access.

## Troubleshooting

### Logging

Enabling logging may help uncover useful information about failures. In order to see a log of HTTP requests and responses, set the `AZURE_LOG_LEVEL` environment variable to `info`. Alternatively, logging can be enabled at runtime by calling `setLogLevel` in the `@azure/logger`:

```javascript
const { setLogLevel } = require("@azure/logger");
setLogLevel("info");
```

## Related projects
For more detailed instructions on how to enable logs, you can look at the [@azure/logger package docs](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/core/logger).

- [Microsoft Azure SDK for Javascript](https://github.com/Azure/azure-sdk-for-js)
## Next steps

Please take a look at the [samples](https://github.com/Azure-Samples/azure-samples-js-management) directory for detailed examples on how to use this library.

## Contributing

If you'd like to contribute to this library, please read the [contributing guide](https://github.com/Azure/azure-sdk-for-js/blob/main/CONTRIBUTING.md) to learn more about how to build and test the code.

## Related projects

- [Microsoft Azure SDK for JavaScript](https://github.com/Azure/azure-sdk-for-js)

![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-js%2Fsdk%2Fmachinelearning%2Farm-webservices%2FREADME.png)

[azure_cli]: https://docs.microsoft.com/cli/azure
[azure_sub]: https://azure.microsoft.com/free/
[azure_sub]: https://azure.microsoft.com/free/
[azure_portal]: https://portal.azure.com
[azure_identity]: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity
[defaultazurecredential]: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity#defaultazurecredential
7 changes: 7 additions & 0 deletions sdk/machinelearning/arm-webservices/_meta.json
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18 changes: 18 additions & 0 deletions sdk/machinelearning/arm-webservices/api-extractor.json
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