assert response.status_code == 422, response.text
    # insert_assert(response.json())
    assert response.json() == {
        "detail": [
            {
                "type": "string_type",
                "loc": ["tags", 3],
                "msg": "Input should be a valid string",
                "input": {"sneaky": "object"},
            }
        ]
    }


@needs_pydanticv2

    override val CHAR: KtType by cachedBuiltin(builtinTypes.charType)
    override val BOOLEAN: KtType by cachedBuiltin(builtinTypes.booleanType)
    override val STRING: KtType by cachedBuiltin(builtinTypes.stringType)

    override val UNIT: KtType by cachedBuiltin(builtinTypes.unitType)
    override val NOTHING: KtType by cachedBuiltin(builtinTypes.nothingType)
    override val ANY: KtType by cachedBuiltin(builtinTypes.anyType)

        get() = withValidityAssertion { analysisContext.builtIns.charType.toKtType(analysisContext) }

    override val STRING: KtType
        get() = withValidityAssertion { analysisContext.builtIns.stringType.toKtType(analysisContext) }

    override val UNIT: KtType
        get() = withValidityAssertion { analysisContext.builtIns.unitType.toKtType(analysisContext) }

    override val NOTHING: KtType

by a value of <code>T</code>.
As a special case, an integer constant <code>x</code> can be explicitly converted to a
<a href="#String_types">string type</a> using the
<a href="#Conversions_to_and_from_a_string_type">same rule</a>
as for non-constant <code>x</code>.
</p>

<p>
Converting a constant yields a typed constant as result.
</p>

<pre>
uint(iota)               // iota value of type uint

by a value of <code>T</code>.
As a special case, an integer constant <code>x</code> can be explicitly converted to a
<a href="#String_types">string type</a> using the
<a href="#Conversions_to_and_from_a_string_type">same rule</a>
as for non-constant <code>x</code>.
</p>

<p>
Converting a constant to a type that is not a <a href="#Type_parameter_declarations">type parameter</a>
yields a typed constant.
</p>

		// simply a read on JSON from MinIO and write it back as "parquet".
		//
		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")

pkg database/sql/driver, var ErrBadConn error
pkg database/sql/driver, var ErrSkip error
pkg database/sql/driver, var Int32 int32Type
pkg database/sql/driver, var ResultNoRows noRows
pkg database/sql/driver, var String stringType
pkg debug/dwarf, const AttrAbstractOrigin Attr
pkg debug/dwarf, const AttrAccessibility Attr
pkg debug/dwarf, const AttrAddrClass Attr
pkg debug/dwarf, const AttrAllocated Attr