parallelization: (Int) -> ParallelizationMethod,
    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end
        val resultIncludingDuplicates =
            splitIntoBuckets(

                .stream()
                .map(protwordsItem -> createEditBody(protwordsItem, dictId))
                .collect(Collectors.toList())).status(ApiResult.Status.OK).result());
    }

    /**
     * Retrieve a single character mapping entry by ID for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param id identifier of the mapping entry
     * @return JSON response containing the mapping entry

        assertTrue(result.contains(Hexdump.toHexString(TEST_INFO_LEVEL, 3)));
    }

    @Test
    void testToStringWithDifferentPaths() {
        // Test with various path formats
        String[] testPaths = { "simple.txt", "path/to/file.doc", "//server/share/file.txt", "folder\\windows\\style.txt", "" // empty path
        };

        for (String path : testPaths) {

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

  }

  /**
   * In some cases our graph implementations return custom sets that define their own size() and
   * contains(). Verify that these sets are consistent with the elements of their iterator.
   */
  @CanIgnoreReturnValue
  static <T> Set<T> sanityCheckSet(Set<T> set) {
    assertThat(set).hasSize(Iterators.size(set.iterator()));
    for (Object element : set) {
      assertThat(set).contains(element);
    }

    cache.evictAll()
    val urls: MutableIterator<String> = cache.urls()
    val writeAbortCount: Int = cache.writeAbortCount()
    val writeSuccessCount: Int = cache.writeSuccessCount()
    val size: Long = cache.size()
    val maxSize: Long = cache.maxSize()
    cache.flush()
    cache.close()
    val directory: File = cache.directory
    val networkCount: Int = cache.networkCount()

    /**
     * SMB2 session flag indicating channel binding
     */
    public static final int SMB2_SESSION_FLAG_BINDING = 0x01;

    /**
     * Size of network interface info structure in bytes
     */
    public static final int NETWORK_INTERFACE_INFO_SIZE = 152;

        title.appendChild(document.createTextNode("("));
        List<ParameterMetaData> parameters = methodDoc.getMetaData().getParameters();
        for (int i = 0; i < parameters.size(); i++) {
            ParameterMetaData param = parameters.get(i);
            if (i > 0) {
                title.appendChild(document.createTextNode(", "));
            }

        final List<LabelType> list = getLabelTypeList();
        final List<String> labelValueList = new ArrayList<>(list.size());
        for (final LabelType labelType : list) {
            labelValueList.add(labelType.getValue());
        }
        return labelValueList.toArray(new String[labelValueList.size()]);
    }

    public String getId() {
        return asDocMeta().id();
    }

        n.setTreeId(Smb2Constants.UNSPECIFIED_TREEID);
        return super.chain(n);
    }

    /**
     * {@inheritDoc}
     *
     * @see jcifs.internal.CommonServerMessageBlockRequest#size()
     */
    @Override
    public int size() {
        return size8(Smb2Constants.SMB2_HEADER_LENGTH + 8 + this.path.length() * 2);
    }

    /**
     * {@inheritDoc}
     *