exchange.responseHeadersStart()
          invokeStartEvent = false
        }
        if (responseBuilder == null) {
          if (requestBody.isDuplex()) {
            // Prepare a duplex body so that the application can send a request body later.
            exchange.flushRequest()
            val bufferedRequestBody = exchange.createRequestBody(request, true).buffer()
            requestBody.writeTo(bufferedRequestBody)

That way, in many cases you can learn about containers and Docker and reuse that knowledge with many different tools and components.

So, you would run **multiple containers** with different things, like a database, a Python application, a web server with a React frontend application, and connect them together via their internal network.

    // as their length. These files are very small, so it's wasteful to allocate an 8KB buffer.
    int initialBufferSize = min(BUFFER_SIZE, max(128, Integer.highestOneBit(totalLen) * 2));
    // Starting with an 8k buffer, double the size of each successive buffer. Smaller buffers
    // quadruple in size until they reach 8k, to minimize the number of small reads for longer
    // streams. Buffers are retained in a deque so that there's no copying between buffers while

need it so that empty directory does not get deleted...

  private static <N, V> ImmutableMap<N, GraphConnections<N, V>> getNodeConnections(
      ValueGraph<N, V> graph) {
    // ImmutableMap.Builder maintains the order of the elements as inserted, so the map will have
    // whatever ordering the graph's nodes do, so ImmutableSortedMap is unnecessary even if the
    // input nodes are sorted.
    ImmutableMap.Builder<N, GraphConnections<N, V>> nodeConnections = ImmutableMap.builder();

# commonColumnMap: (Default map:{})
#
# The definition of common column(contains auto set-up).
# For example, the date you registered the record,
# the user who updated the record and so on...
# The column names are treated as case insensitive.
#
# The variable '$$AccessContext$$' means allcommon.AccessContext.
#
# Example:
# map:{
#     ; commonColumnMap = map:{

# Unterabhängigkeiten

Sie können Abhängigkeiten erstellen, die **Unterabhängigkeiten** haben.

Diese können so **tief** verschachtelt sein, wie nötig.

**FastAPI** kümmert sich darum, sie aufzulösen.

## Erste Abhängigkeit, „Dependable“

Sie könnten eine erste Abhängigkeit („Dependable“) wie folgt erstellen:

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[8:9] *}

 */

package com.google.common.collect.testing;

import com.google.common.annotations.GwtCompatible;

/**
 * A type which will never be used as the element type of any collection in our tests, and so can be
 * used to test how a Collection behaves when given input of the wrong type.
 */
@GwtCompatible
public enum WrongType {
  VALUE

            when(mockInetAddress.getHostName()).thenReturn(".hostname");
            UniAddress uniAddress = new UniAddress(mockInetAddress);
            // Dot at position 0, which is NOT > 1, so whole string is uppercased
            assertEquals(".HOSTNAME", uniAddress.firstCalledName());
        }

        @Test

```Python
from typing import List

my_list: List[str]
```

That's all standard Python syntax for type declarations.

Use that same standard syntax for model attributes with internal types.

So, in our example, we can make `tags` be specifically a "list of strings":

{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}

## Set types { #set-types }