will be not changed if OBJECTLOCKING is set because it enables versioning to the Buckets created) if ! checkBucketExists $BUCKET ; then if [ ! -z $OBJECTLOCKING ] ; then if [ $OBJECTLOCKING = true ] ; then echo "Creating bucket with OBJECTLOCKING '$BUCKET'" ${MC} mb --with-lock myminio/$BUCKET elif [ $OBJECTLOCKING = false ] ; then echo "Creating bucket '$BUCKET'" ${MC} mb myminio/$BUCKET fi elif [ -z $OBJECTLOCKING ] ; then echo "Creating bucket '$BUCKET'" ${MC} mb myminio/$BUCKET else echo "Bucket...

will be not changed if OBJECTLOCKING is set because it enables versioning to the Buckets created) if ! checkBucketExists $BUCKET ; then if [ ! -z $OBJECTLOCKING ] ; then if [ $OBJECTLOCKING = true ] ; then echo "Creating bucket with OBJECTLOCKING '$BUCKET'" ${MC} mb --with-lock myminio/$BUCKET elif [ $OBJECTLOCKING = false ] ; then echo "Creating bucket '$BUCKET'" ${MC} mb myminio/$BUCKET fi elif [ -z $OBJECTLOCKING ] ; then echo "Creating bucket '$BUCKET'" ${MC} mb myminio/$BUCKET else echo "Bucket...

At some point you would have started the definition of the function, you had the parameters ready...

But then you have to call "that method that converts the first letter to upper case".

Was it `upper`? Was it `uppercase`? `first_uppercase`? `capitalize`?

Then, you try with the old programmer's friend, editor autocompletion.

You type the first parameter of the function, `first_name`, then a dot (`.`) and then hit `Ctrl+Space` to trigger the completion.

/*
 * Copyright 2020 the original author or authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//

@command(b'goreposum', [], _('url'), norepo=True)
def goreposum(ui, url):
  """
  goreposum computes a checksum of all the named state in the remote repo.
  It hashes together all the branch names and hashes
  and then all the bookmark names and hashes.
  Tags are stored in .hgtags files in any of the branches,
  so the branch metadata includes the tags as well.
  """
  h = hashlib.sha256()
  peer = hg.peer(ui, {}, url)

# Background Tasks - `BackgroundTasks`

You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent.

You can import it directly from `fastapi`:

```python
from fastapi import BackgroundTasks
```

#!/usr/bin/env bash

set -e
set -o pipefail

if [ -z "$PYTHON_BIN_PATH" ]; then
  PYTHON_BIN_PATH=$(which python3 || which python || true)
fi

# Set all env variables
CONFIGURE_DIR=$(dirname "$0")
"$PYTHON_BIN_PATH" "${CONFIGURE_DIR}/configure.py" "$@"

# `Request` class

You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

/// tip

When a WebSocket connection is closed, the `await websocket.receive_text()` will raise a `WebSocketDisconnect` exception, which you can then catch and handle like in this example.

{* ../../docs_src/websockets/tutorial003_py39.py hl[79:81] *}

To try it out:

* Open the app with several browser tabs.
* Write messages from them.
* Then close one of the tabs.