Update Docusaurus (#855)

docs/guides/ide/integration_pycharm.md

@@ -25,7 +25,7 @@ private credentials (assuming the entire code base, including `.git` already exi
 
 ## Optional: ClearML Configuration Parameters
 
-:::caution
+:::warning
 If you set ClearML configuration parameters (ClearML Server and ClearML credentials) in the plugin, they will override 
 the settings in the ClearML configuration file.
 :::

docs/guides/reporting/explicit_reporting.md

@@ -62,21 +62,23 @@ task = Task.init(
 
 When the script runs, ClearML creates the following directory structure:
 
-    + - <output destination name>
-    |   +-- <project name>
-    |       +-- <task name>.<Task Id>
-    |           +-- models
-    |           +-- artifacts
-
+```
++ - <output destination name>
+|   +-- <project name>
+|       +-- <task name>.<Task Id>
+|           +-- models
+|           +-- artifacts
+```
 and puts the model checkpoints (snapshots) and artifacts in that folder.
 
 For example, if the Task ID is `9ed78536b91a44fbb3cc7a006128c1b0`, then the directory structure will be:
-
-    + - model_snapshots
-    |   +-- examples
-    |       +-- extending automagical ClearML example.9ed78536b91a44fbb3cc7a006128c1b0
-    |           +-- models
-    |           +-- artifacts
+```
++ - model_snapshots
+|   +-- examples
+|       +-- extending automagical ClearML example.9ed78536b91a44fbb3cc7a006128c1b0
+|           +-- models
+|           +-- artifacts
+```
 
 ## Step 2: Logger Class Reporting Methods
 

docs/guides/services/slack_alerts.md

@@ -59,7 +59,7 @@ python slack_alerts.py --channel <Slack-channel-name> --slack-api <Slack-API-tok
 The script supports the following additional command line options:
 * `service_queue` - The queue to use when running remotely as a service. The default value is `services` (make sure 
   your workspace has such a queue and to assign a ClearML Agent to this queue).
-* `message_prefix` - A message prefix for Slack alerts. For example, to alert all channel members use: "Hey <!here>". 
+* `message_prefix` - A message prefix for Slack alerts. For example, to alert all channel members use: `"Hey <!here>"`. 
 * `min_num_iterations` - Minimal iteration threshold below which experiments are ignored. Use this option to eliminate 
   debug sessions that fail quickly. The default value is 0.
 * `project` - The name of the project to monitor. By default, all projects are monitored.  

docs/guides/set_offline.md

@@ -23,7 +23,7 @@ the `offline_mode` argument to `True`
 
 * Before running a task, set `CLEARML_OFFLINE_MODE=1`
 
-:::caution 
+:::warning 
 Offline mode only works with tasks created using [`Task.init()`](../references/sdk/task.md#taskinit) and not with those created 
 using [`Task.create()`](../references/sdk/task.md#taskcreate). 
 :::

docs/guides/ui/tuning_exp.md

@@ -51,33 +51,34 @@ For more information about workers, worker daemons, and queues, see [Agents and
 Run the worker daemon on the local development machine.
 1. Open a terminal session.
 1. Run the following `clearml-agent` command which runs a worker daemon listening to the `default` queue:
-
-        clearml-agent daemon --queue default
-    
+    ```
+    clearml-agent daemon --queue default
+    ```
     The response to this command is information about the configuration, the worker, and the queue. For example:
-
-        Current configuration (clearml_agent v0.16.0, location: /home/<username>/clearml.conf):
-        ----------------------
-        agent.worker_id =
-        agent.worker_name = LAPTOP-PPTKKPGK
-        agent.python_binary =
-        agent.package_manager.type = pip
-        .
-        .
-        .
-        sdk.development.worker.report_period_sec = 2
-        sdk.development.worker.ping_period_sec = 30
-        sdk.development.worker.log_stdout = true
+    ```
+    Current configuration (clearml_agent v0.16.0, location: /home/<username>/clearml.conf):
+    ----------------------
+    agent.worker_id =
+    agent.worker_name = LAPTOP-PPTKKPGK
+    agent.python_binary =
+    agent.package_manager.type = pip
+    .
+    .
+    .
+    sdk.development.worker.report_period_sec = 2
+    sdk.development.worker.ping_period_sec = 30
+    sdk.development.worker.log_stdout = true
         
-        Worker "LAPTOP-PPTKKPGK:0" - Listening to queues:
-        + ---------------------------------+---------+-------+
-        | id                               | name    | tags  |
-        + ---------------------------------+---------+-------+
-        | 2a03daf5ff9a4255b9915fbd5306f924 | default |       |
-        + ---------------------------------+---------+-------+
+    Worker "LAPTOP-PPTKKPGK:0" - Listening to queues:
+    + ---------------------------------+---------+-------+
+    | id                               | name    | tags  |
+    + ---------------------------------+---------+-------+
+    | 2a03daf5ff9a4255b9915fbd5306f924 | default |       |
+    + ---------------------------------+---------+-------+
         
-        Running CLEARML-AGENT daemon in background mode, writing stdout/stderr to /home/<username>/.clearml_agent_daemon_outym6lqxrz.txt
-
+    Running CLEARML-AGENT daemon in background mode, writing stdout/stderr to /home/<username>/.clearml_agent_daemon_outym6lqxrz.txt
+    ```
+   
 ## Step 5: Enqueue the Tuned Experiment
 
 Enqueue the tuned experiment.