).Or(
		DB.Where("pizza = ?", "hawaiian").Where("size = ?", "xlarge"),
	).Find(&Pizza{}).Statement

	execStmt := dryRunDB.Exec("WHERE (pizza = ? AND (size = ? OR size = ?)) OR (pizza = ? AND size = ?)", "pepperoni", "small", "medium", "hawaiian", "xlarge").Statement

	result := DB.Dialector.Explain(stmt.SQL.String(), stmt.Vars...)

	} else {
		bs.XferRateSml.addSize(sz, duration)
	}
}

// RMetricName - name of replication metric
type RMetricName string

const (
	// Large - objects larger than 128MiB
	Large RMetricName = "Large"
	// Small - objects smaller than 128MiB
	Small RMetricName = "Small"
	// Total - metric pertaining to totals
	Total RMetricName = "Total"
)

    }

    /**
     * Test readBytes with large file throws exception
     *
     * @throws Exception
     */
    @Test
    public void testReadBytes_LargeFile() throws Exception {
        final File largeFile = tempFolder.newFile("large.dat");

        // Create a file larger than MAX_BUF_SIZE (10MB)
        // Write 11MB of data

            final long fileSize = ChannelUtil.size(channel);

            if (fileSize > maxSize) {
                throw new IORuntimeException(new IOException("File too large: " + fileSize + " bytes (max: " + maxSize + " bytes). Use streaming APIs for large files."));
            }

            final ByteBuffer buffer = ByteBuffer.allocate((int) fileSize);
            ChannelUtil.read(channel, buffer);

 * body.
 *
 * ### The response body can be consumed only once.
 *
 * This class may be used to stream very large responses. For example, it is possible to use this
 * class to read a response that is larger than the entire memory allocated to the current process.
 * It can even stream a response larger than the total storage on the current device, which is a
 * common requirement for video streaming applications.
 *

                createDefaultReadingConverter(), createDefaultReadingConverter(), createDefaultNormalizer(), analyzer);

        assertNotNull(items);
        // Should handle large text by splitting into chunks
        assertTrue(items.size() > 0);
    }

    @Test
    public void test_analyzeText() throws Exception {

        assertNotNull(responseWithNull);
    }

    @Test
    @DisplayName("Should handle large data offset value")
    void testReadBytesWireFormatLargeDataOffset() throws Exception {
        // Given
        byte[] buffer = new byte[512];
        int bodyStart = 0;
        int dataLength = 10;
        // Use a large but safe offset value that fits in signed byte range (120)
        int dataOffsetValue = 120;

And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

    the recipients' rights in the Source Code Form under this License.

3.3. Distribution of a Larger Work

You may create and distribute a Larger Work under terms of Your choice,
provided that You also comply with the requirements of this License for
the Covered Software. If the Larger Work is a combination of Covered
Software with a work governed by one or more Secondary Licenses, and the

    return ItemOut(name=item.name, value=item.value, dep=dep)


@app.post("/sync/large-receive")
def sync_large_receive(payload: LargeIn):
    return {"received": len(payload.items)}


@app.post("/async/large-receive")
async def async_large_receive(payload: LargeIn):
    return {"received": len(payload.items)}


@app.get("/sync/large-dict-no-response-model")
def sync_large_dict_no_response_model():