return;
            }
            params.put("onelogin.saml2." + key.substring(SAML_PREFIX.length()), e.getValue());
        });
        return new SettingsBuilder().fromValues(params).build();
    }

    @Override
    public LoginCredential getLoginCredential() {
        return LaRequestUtil.getOptionalRequest().map(request -> {
            if (logger.isDebugEnabled()) {

    Builder<E> combine(Builder<E> builder) {
      checkNotNull(builder);
      contents.addAll(builder.contents);
      return this;
    }

    @Override
    public ImmutableList<E> build() {
      return copyOf(contents);
    }

    ImmutableList<E> buildSorted(Comparator<? super E> comparator) {
      Collections.sort(contents, comparator);
      return copyOf(contents);
    }
  }

                if (logger.isDebugEnabled()) {
                    logger.debug("Failed to process a search result.", e);
                }
                return SearchResult.create().build();
            }
        }).toArray(n -> new SearchResult[n]);

        final String scoreField = fessConfig.getRankFusionScoreField();
        final Map<String, Map<String, Object>> scoreDocMap = new HashMap<>();

    }

    @CanIgnoreReturnValue
    Builder<E> combine(Builder<E> builder) {
      super.combine(builder);
      return this;
    }

    @Override
    public ImmutableSortedSet<E> build() {
      return copyOfInternal(comparator, contents.iterator());
    }
  }

          @Override
          public LoadingCache<Object, Object> apply(CacheBuilder<Object, Object> builder) {
            return builder.recordStats().build(identityLoader());
          }
        });
  }

  private CacheBuilderFactory cacheFactory() {
    // This is trickier than expected. We plan to put 15 values in each of these (WARMUP_MIN to

          .put(MapFeature.SUPPORTS_REMOVE, CollectionFeature.SUPPORTS_REMOVE)
          .put(MapFeature.SUPPORTS_PUT, CollectionFeature.SUPPORTS_ADD)
          .build();

  Set<Feature<?>> computeMultimapGetFeatures(Set<Feature<?>> multimapFeatures) {
    Set<Feature<?>> derivedFeatures = copyToSet(multimapFeatures);

    for (int i = 0; i < PSEUDORANDOM_DATASET_SIZE; i++) {
      largeDatasetBuilder.add(random.nextGaussian());
    }
    return largeDatasetBuilder.build();
  }

  private static double expectedLargeDatasetPercentile(int index) {
    // We have q=100, k=index, and N=9951. Therefore k*(N-1)/q is 99.5*index. If index is even, that

pkg database/sql, type NullInt16 struct, Valid bool
pkg debug/elf, const SHT_MIPS_ABIFLAGS = 1879048234
pkg debug/elf, const SHT_MIPS_ABIFLAGS SectionType
pkg encoding/csv, method (*Reader) FieldPos(int) (int, int)
pkg go/build, type Context struct, ToolTags []string
pkg go/parser, const SkipObjectResolution = 64
pkg go/parser, const SkipObjectResolution Mode
pkg image, method (*Alpha) RGBA64At(int, int) color.RGBA64

     *
     * <p>Note that each builder class covariantly returns the appropriate type of {@code
     * ImmutableCollection} from this method.
     */
    public abstract ImmutableCollection<E> build();
  }

  private static final long serialVersionUID = 0xcafebabe;

리눅스 컨테이너를 사용하는 데에는 **보안**, **반복 가능성**, **단순함** 등의 장점이 있습니다.

/// tip | "팁"

시간에 쫓기고 있고 이미 이런것들을 알고 있다면 [`Dockerfile`👇](#build-a-docker-image-for-fastapi)로 점프할 수 있습니다.

///

<details>
<summary>도커파일 미리보기 👀</summary>

```Dockerfile
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt