if reflect.DeepEqual(x, y) {
		return true
	}
	if x == nil || y == nil {
		return false
	}

	xval := reflect.ValueOf(x)
	yval := reflect.ValueOf(y)
	if xval.Kind() == reflect.Ptr && xval.IsNil() ||
		yval.Kind() == reflect.Ptr && yval.IsNil() {
		return false
	}

	if valuer, ok := x.(driver.Valuer); ok {
		x, _ = valuer.Value()
	}
	if valuer, ok := y.(driver.Valuer); ok {

	AssertEqual(t, err, nil)

	defVal, ok := columnType.DefaultValue()
	AssertEqual(t, defVal, "null")
	AssertEqual(t, ok, true)

	columnType2, err := findColumnType(tableName, "active")
	AssertEqual(t, err, nil)

	defVal, ok = columnType2.DefaultValue()
	bv, _ := strconv.ParseBool(defVal)
	AssertEqual(t, bv, false)
	AssertEqual(t, ok, true)

# character that might be a shell metacharacter, then use eval to reverse
# that process (while maintaining the separation between arguments), and wrap
# the whole thing up as a single "set" statement.
#
# This will of course break if any of these variables contains a newline or
# an unmatched quote.
#

eval "set -- $(
        printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |

					<groupId>org.opensearch.plugin</groupId>
					<artifactId>aggs-matrix-stats-client</artifactId>
				</exclusion>
				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>rank-eval-client</artifactId>
				</exclusion>
				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>lang-expression</artifactId>
				</exclusion>
				<exclusion>

        for (final Map.Entry<String, String> entry : fieldRuleMap.entrySet()) {
            final String path = entry.getValue();
            try {
                final XPathEvaluationResult<?> xObj = getXPathAPI().eval(document, path);
                switch (xObj.type()) {
                case BOOLEAN:
                    final Boolean b = (Boolean) xObj.value();
                    putResultDataBody(dataMap, entry.getKey(), b.toString());

            return "doc not found {{documentUrl}} {{languageInstruction}}";
        }

        @Override
        protected String getEvaluationPrompt() {
            return "eval prompt";
        }

        @Override
        protected String getAnswerGenerationSystemPrompt() {
            return "{{systemPrompt}}\n{{context}}\n{{languageInstruction}}";
        }

        to store weights, allowing a dramatic speedup for large sparse models.
    *   Enable the Keras compile API `experimental_run_tf_function` flag by
        default. This flag enables single training/eval/predict execution path.
        With this 1. All input types are converted to `Dataset`. 2. When
        distribution strategy is not specified this goes through the no-op

</pre>

<p>
Although the examples above use non-interface types, it is also legal to create a method value
from a value of interface type.
</p>

<pre>
var i interface { M(int) } = myVal
f := i.M; f(7)  // like i.M(7)
</pre>


<h3 id="Index_expressions">Index expressions</h3>

<p>
A primary expression of the form
</p>

<pre>
a[x]
</pre>

<p>