Esta simplicidad y flexibilidad permiten hacer cosas como usar bases de datos NoSQL como el sistema de almacenamiento de datos principal.

Como es muy simple, es relativamente intuitivo de aprender, aunque la documentación se vuelve algo técnica en algunos puntos.

            T[] result = super.toArray(array);
            if (size() < result.length) {
              // It works around a GWT bug where elements after last is not
              // properly null'ed.
              @Nullable Object[] unsoundlyCovariantArray = result;
              unsoundlyCovariantArray[size()] = null;
            }
            return result;
          }
        });
  }

		{"DATA", "0", "expect two operands for DATA"},
		{"DATA", "(0), 1", "expect /size for DATA argument"},
		{"DATA", "@B(SB)/4,0", "expected '(', found B"}, // Issue 23580.
		{"DATA", "·A(SB)/4,0", "DATA value must be an immediate constant or address"},
		{"DATA", "·B(SB)/4,$0", ""},
		{"DATA", "·C(SB)/5,$0", "bad int size for DATA argument: 5"},
		{"DATA", "·D(SB)/5,$0.0", "bad float size for DATA argument: 5"},

    assertThat(source.readByte() and 0xff).isEqualTo(0xbf)
    assertThat(source.readUtf8()).isEqualTo("hello")
  }

  @Test
  fun bytesEmpty() {
    val body = body("")
    assertThat(body.bytes().size).isEqualTo(0)
  }

  @Test
  fun bytesSeesBom() {
    val body = body("efbbbf68656c6c6f")
    val bytes = body.bytes()
    assertThat(bytes[0] and 0xff).isEqualTo(0xef)

	return e.encoder().Reconstruct(data)
}

// ShardSize - returns actual shared size from erasure blockSize.
func (e *Erasure) ShardSize() int64 {
	return ceilFrac(e.blockSize, int64(e.dataBlocks))
}

// ShardFileSize - returns final erasure size from original size.
func (e *Erasure) ShardFileSize(totalLength int64) int64 {
	if totalLength == 0 {
		return 0
	}

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            assertEquals(8, entries[i].getType()); // TYPE_SHARE constant value
        }
    }

    @Test
    @DisplayName("getEntries should handle single DFS root correctly")
    void testGetEntries_singleEntry() throws Exception {
        // Create array with single entry
        netdfs.DfsEnumArray200 singleArray = new netdfs.DfsEnumArray200();
        singleArray.count = 1;
        singleArray.s = new netdfs.DfsInfo200[1];

        map = new CaseInsensitiveMap<>(initialCapacity);
    }

    @Override
    public Iterator<String> iterator() {
        return map.keySet().iterator();
    }

    @Override
    public int size() {
        return map.size();
    }

    @Override
    public boolean isEmpty() {
        return map.isEmpty();
    }

    @Override
    public boolean contains(final Object o) {
        return map.containsKey(o);

        assertNotSame(collector1, collector2);
        assertEquals(0, collector1.getProblems().size());
        assertEquals(1, collector2.getProblems().size());
    }

    @Test
    void testAddProblem() {
        ProblemCollector collector = ProblemCollectorFactory.newInstance(null);
        collector.setSource("pom.xml");

        final int len = str.length();
        int ch, size = 0;
        byte[] dst;

        for (int i = 0; i < len; i++) {
            ch = str.charAt(i);
            size += ch > 0x07F ? ch > 0x7FF ? 3 : 2 : 1;
        }
        dst = new byte[size];
        writeShort(size);
        Encdec.enc_utf8(str, dst, 0, size);
        write(dst, 0, size);
    }