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@ -129,7 +129,7 @@ and ClearML Server needs to be installed.
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1. Add the `clearml-server` repository to Helm client.
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```
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helm repo add allegroai https://allegroai.github.io/clearml-server-helm/
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helm repo add clearml https://clearml.github.io/clearml-server-helm/
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```
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Confirm the `clearml-server` repository is now in the Helm client.
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@ -136,7 +136,7 @@ Deploying the server requires a minimum of 8 GB of memory, 16 GB is recommended.
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2. Download the ClearML Server docker-compose YAML file.
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```
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sudo curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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sudo curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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```
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1. For Linux only, configure the **ClearML Agent Services**:
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@ -57,7 +57,7 @@ Deploying the server requires a minimum of 8 GB of memory, 16 GB is recommended.
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1. Save the ClearML Server docker-compose YAML file.
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```
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curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
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curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
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```
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1. Run `docker-compose`. In PowerShell, execute the following commands:
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@ -12,8 +12,8 @@ This guide details the installation of the ClearML AI Application Gateway, speci
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* Kubernetes cluster: `>= 1.21.0-0 < 1.32.0-0`
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* Helm installed and configured
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* Helm token to access allegroai helm-chart repo
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* Credentials for allegroai docker repo
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* Helm token to access `allegroai` helm-chart repo
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* Credentials for `allegroai` docker repo
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* A valid ClearML Server installation
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## Optional for HTTPS
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@ -27,7 +27,7 @@ This guide details the installation of the ClearML AI Application Gateway, speci
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```
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helm repo add allegroai-enterprise \
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https://raw.githubusercontent.com/allegroai/clearml-enterprise-helm-charts/gh-pages \
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https://raw.githubusercontent.com/clearml/clearml-enterprise-helm-charts/gh-pages \
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--username <GITHUB_TOKEN> \
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--password <GITHUB_TOKEN>
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```
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@ -49,7 +49,7 @@ If upgrading from Trains Server version 0.15 or older, a data migration is requi
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1. Download the latest `docker-compose.yml` file. Execute the following command:
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```
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sudo curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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sudo curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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```
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1. Startup ClearML Server. This automatically pulls the latest ClearML Server build.
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@ -38,7 +38,7 @@ you can proceed to upgrade to v2.x.
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1. Download the latest `docker-compose.yml` file:
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```
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curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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```
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1. Startup ClearML Server. This automatically pulls the latest ClearML Server build.
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@ -7,13 +7,13 @@ title: Kubernetes
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```bash
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helm repo update
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helm upgrade clearml allegroai/clearml
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helm upgrade clearml clearml/clearml
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```
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**To change the values in an existing installation,** execute the following:
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```bash
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helm upgrade clearml allegroai/clearml --version <CURRENT CHART VERSION> -f custom_values.yaml
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helm upgrade clearml clearml/clearml --version <CURRENT CHART VERSION> -f custom_values.yaml
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```
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See the [clearml-helm-charts repository](https://github.com/clearml/clearml-helm-charts/tree/main/charts/clearml#local-environment)
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@ -59,7 +59,7 @@ For backwards compatibility, the environment variables ``TRAINS_HOST_IP``, ``TRA
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1. Download the latest `docker-compose.yml` file:
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```
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curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
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```
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1. Startup ClearML Server. This automatically pulls the latest ClearML Server build:
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@ -49,7 +49,7 @@ you can proceed to upgrade to v2.x.
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1. Download the latest `docker-compose.yml` file:
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```
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curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
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curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
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```
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1. Startup ClearML Server. This automatically pulls the latest ClearML Server build.
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@ -32,19 +32,19 @@ training, and deploying models at every scale on any AI infrastructure.
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<tbody>
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<tr>
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<td><a href="https://github.com/clearml/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb"><b>Step 1</b></a> - Experiment Management</td>
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb">
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/clearml/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a></td>
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</tr>
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<tr>
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<td><a href="https://github.com/clearml/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb"><b>Step 2</b></a> - Remote Execution Agent Setup</td>
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb">
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/clearml/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a></td>
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</tr>
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<tr>
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<td><a href="https://github.com/clearml/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb"><b>Step 3</b></a> - Remotely Execute Tasks</td>
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb">
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<td className="align-center"><a className="no-ext-icon" target="_blank" href="https://colab.research.google.com/github/clearml/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a></td>
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</tr>
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@ -49,7 +49,7 @@ Execution log at: https://app.clear.ml/projects/552d5399112d47029c146d5248570295
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### Executing a Local Script
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For this example, use a local version of [this script](https://github.com/clearml/events/blob/master/webinar-0620/keras_mnist.py).
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1. Clone the [allegroai/events](https://github.com/clearml/events) repository
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1. Clone the [clearml/events](https://github.com/clearml/events) repository
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1. Go to the root folder of the cloned repository
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1. Run the following command:
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@ -16,7 +16,7 @@ and running, users can send Tasks to be executed on Google Colab's hardware.
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## Steps
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1. Open up [this Google Colab notebook](https://colab.research.google.com/github/allegroai/clearml/blob/master/examples/clearml_agent/clearml_colab_agent.ipynb).
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1. Open up [this Google Colab notebook](https://colab.research.google.com/github/clearml/clearml/blob/master/examples/clearml_agent/clearml_colab_agent.ipynb).
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1. Run the first cell, which installs all the necessary packages:
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```
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@ -22,7 +22,7 @@ The Slack API token and channel you create are required to configure the Slack a
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1. In **Development Slack Workspace**, select a workspace.
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1. Click **Create App**.
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1. In **Basic Information**, under **Display Information**, complete the following:
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- In **Short description**, enter "Allegro Train Bot".
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- In **Short description**, enter "ClearML Train Bot".
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- In **Background color**, enter "#202432".
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1. Click **Save Changes**.
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1. In **OAuth & Permissions**, under **Scopes**, click **Add an OAuth Scope**, and then select the following permissions
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@ -252,7 +252,7 @@ To download the task history as a CSV file, hover over the log and click <img sr
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ClearML maintains a system-wide, large but strict limit for task history items. Once the limit is reached, the oldest entries are purged to make room for fresh entries.
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:::
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### Description
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### Description
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Add descriptive text to the task in the **Description** section. To modify the description, hover over the
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description box and click **Edit**.
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@ -304,7 +304,7 @@ All scalars that ClearML automatically logs, as well as those explicitly reporte
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Scalar series can be displayed in [graph view](#graph-view) (default) or in [metric values view](#metric-values-view):
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#### Graph View
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#### Graph View
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Scalar graph view (<img src="/docs/latest/icons/ico-charts-view.svg" alt="Graph view" className="icon size-md space-sm" />)
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shows scalar series plotted as a time series line chart. By default, a single plot is shown for each scalar metric,
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with all variants overlaid within.
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@ -424,22 +424,22 @@ To add an image, add an exclamation point, followed by the alt text enclosed by
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image enclosed in parentheses:
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```
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```
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The rendered output should look like this:
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To add a title to the image, which you can see in a tooltip when hovering over the image, add the title after the image's
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link:
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```
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```
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The rendered output should look like this:
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<img src="https://raw.githubusercontent.com/allegroai/clearml/master/docs/clearml-logo.svg" alt="Logo with Title" title="ClearML logo"/>
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<img src="https://raw.githubusercontent.com/clearml/clearml/master/docs/clearml-logo.svg" alt="Logo with Title" title="ClearML logo"/>
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Hover over the image to see its title.
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