itemInfo,
        relatedInfo,
        equivalence.equivalent(item, related));

    int itemHash = equivalence.hash(item);
    int relatedHash = equivalence.hash(related);
    assertWithTemplate(
        "the $HASH ("
            + itemHash
            + ") of $ITEM must be equal to the $HASH ("
            + relatedHash
            + ") of $OTHER",
        itemInfo,
        relatedInfo,

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

Das Resultat dieses Aufrufs ist etwas, das mit Pythons Standard-<a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a> kodiert werden kann.

			encoded, err := e.EncodeData(GlobalContext, testData[:])
			failOnErr(err)
			hash := xxhash.New()
			for i, data := range encoded {
				// Write index to keep track of sizes of each.
				_, err = hash.Write([]byte{byte(i)})
				failOnErr(err)
				_, err = hash.Write(data)
				failOnErr(err)
				got[conf] = map[ErasureAlgo]uint64{algo: hash.Sum64()}
			}

			if a, b := want[conf], got[conf]; !reflect.DeepEqual(a, b) {

	return crc
}

// hashDeterministicBytes will return a deterministic (weak) hash for the map values.
// Trivial collisions are avoided, but this is by no means a strong hash.
func hashDeterministicBytes(m map[string][]byte) uint64 {
	crc := uint64(0x1bbc7e1dde654743)
	for k, v := range m {
		crc ^= (xxh3.HashString(k) ^ 0x4ee3bbaf7ab2506b) + (xxh3.Hash(v) ^ 0x8da4c8da66194257)
	}
	return crc

#!/bin/bash
# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# 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,

    //                                                                      ==============
    @Override
    public String toString() {
        final String hash = Integer.toHexString(hashCode());
        return DfTypeUtil.toClassTitle(this) + ":{acceptCookieLocale=" + isAcceptCookieLocale() + "}@" + hash;
    }

  public void testCreateFromHashMultimap() {
    Multimap<Double, Double> hash = HashMultimap.create();
    hash.put(1.0, 2.0);
    hash.put(2.0, 3.0);
    hash.put(3.0, 4.0);
    hash.put(4.0, 5.0);

    TreeMultimap<Double, Double> copyFromHash = TreeMultimap.create(hash);
    assertEquals(hash, copyFromHash);
    assertEquals(Ordering.natural(), copyFromHash.keyComparator());

     1. Build a Gradle distribution with a fixed timestamp and hash it, but never use this distribution.
     2. Build a Gradle distribution with this hash as a version + fixed timestamp -> dogfood-first
     3. Build a Gradle distribution using dogfood-first with this hash as a version + fixed timestamp different from the one above -> dogfood-second

Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.

      expectedHashCode += hash(entry);
    }

    resetContainer(getSubjectGenerator().create(entries.toArray()));
    assertEquals(
        "A Map's hashCode() should be the sum of those of its entries (where "
            + "a null element in an entry counts as having a hash of zero).",
        expectedHashCode,
        getMap().hashCode());
  }

  private static int hash(Entry<?, ?> e) {