* support them). All optional multimap methods are supported, and all returned views are
 * modifiable.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap. Concurrent
 * read operations will work correctly. To allow concurrent update operations, wrap your multimap
 * with a call to {@link Multimaps#synchronizedSortedSetMultimap}.
 *
 * <p>See the Guava User Guide article on <a href=

name: tests

on:
  push:
    branches-ignore:
      - 'gh-pages'
  pull_request:
    branches-ignore:
      - 'gh-pages'

permissions:
  contents: read

jobs:
  # Label of the container job
  sqlite:
    strategy:
      matrix:
        go: ['stable', 'oldstable']
        platform: [ubuntu-latest] # can not run in windows OS
    runs-on: ${{ matrix.platform }}

    steps:
    - name: Set up Go 1.x

      munch();
    }
  }

  private void munch() {
    Java8Compatibility.flip(buffer);
    while (buffer.remaining() >= chunkSize) {
      // we could limit the buffer to ensure process() does not read more than
      // chunkSize number of bytes, but we trust the implementations
      process(buffer);
    }
    buffer.compact(); // preserve any remaining data that do not make a full chunk
  }

        int maxCount = buf.dec_ndr_long();
        int offset = buf.dec_ndr_long();
        int actualCount = buf.dec_ndr_long();

        if (actualCount <= 0) {
            return "";
        }

        // Read wide string data (UTF-16LE)
        int byteCount = (actualCount - 1) * 2; // Exclude null terminator
        byte[] wideBytes = new byte[byteCount];
        buf.readOctetArray(wideBytes, 0, byteCount);

actions: # - "s3:CreateBucket" # - "s3:DeleteBucket" # - "s3:GetBucketLocation" # - "s3:ListBucket" # - "s3:ListBucketMultipartU" ## readonlyexamplepolic policy grants access to buckets with name starting with example. ## In addition, grants objects read permissions on buckets starting with example. # - name: readonlyexamplepolic # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:GetObject" # - resources: # - 'arn:aws:s3:::example*' # actions: # - "s3:GetBucketLocation" #...

actions: # - "s3:CreateBucket" # - "s3:DeleteBucket" # - "s3:GetBucketLocation" # - "s3:ListBucket" # - "s3:ListBucketMultipartU" ## readonlyexamplepolic policy grants access to buckets with name starting with example. ## In addition, grants objects read permissions on buckets starting with example. # - name: readonlyexamplepolic # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:GetObject" # - resources: # - 'arn:aws:s3:::example*' # actions: # - "s3:GetBucketLocation" #...

actions: # - "s3:CreateBucket" # - "s3:DeleteBucket" # - "s3:GetBucketLocation" # - "s3:ListBucket" # - "s3:ListBucketMultipartU" ## readonlyexamplepolic policy grants access to buckets with name starting with example. ## In addition, grants objects read permissions on buckets starting with example. # - name: readonlyexamplepolic # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:GetObject" # - resources: # - 'arn:aws:s3:::example*' # actions: # - "s3:GetBucketLocation" #...

```console
// 환경 변수 MY_NAME 생성
$ $Env:MY_NAME = "Wade Wilson"

// 다른 프로그램과 함께 사용하기. 예:
$ echo "Hello $Env:MY_NAME"

Hello Wade Wilson
```

</div>

////

## 파이썬에서 env var 읽기 { #read-env-vars-in-python }

파이썬 **바깥**인 터미널에서(또는 다른 어떤 방법으로든) 환경 변수를 만들고, 그런 다음 **파이썬에서 읽을 수 있습니다**.

예를 들어 다음과 같은 `main.py` 파일이 있다고 합시다:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")

    <p>A Toolchain is a preconfigured object that Maven plugins can use for tool configuration retrieval (location and other information).
    <p>The <a href="/plugins/maven-toolchains-plugin/">toolchains-plugin</a> can read available toolchains on the user's computer
    and match them against the toolchain requirements of the project (as configured in {@code pom.xml}):

{* ../../docs_src/body/tutorial001_py310.py hl[16] *}

...and declare its type as the model you created, `Item`.

## Results { #results }

With just that Python type declaration, **FastAPI** will:

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.
    * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.