\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

	}
}

// Issue 36431: calls to RoundTrip should not mutate t.ProxyConnectHeader.
//
// (A bug caused dialConn to instead write the per-request Proxy-Authorization
// header through to the shared Header instance, introducing a data race.)
func TestTransportProxyDialDoesNotMutateProxyConnectHeader(t *testing.T) {
	run(t, testTransportProxyDialDoesNotMutateProxyConnectHeader)
}

\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

  //  Tests that all inputs to a function are passed and all outputs are returned for an outside compilation cluster
  //  with dynamic-shaped inputs/outputs. This test case tests that if another outside compiled returns
  //  only statically-shaped outputs, the value consumed by an outside compiled op with some dynamically shaped inputs is
  //  sent back to the host.

  // CHECK-LABEL: func @dynamic_input_all_captured_mixed_shapes_outside_compilation

// but saved in Offset which type is int64, con32class treats it as uint32 type and reclassifies it.
func (c *ctxt7) con32class(a *obj.Addr) int {
	v := uint32(a.Offset)
	// For 32-bit instruction with constant, rewrite
	// the high 32-bit to be a repetition of the low
	// 32-bit, so that the BITCON test can be shared
	// for both 32-bit and 64-bit. 32-bit ops will

The expression <code>x</code> is evaluated and saved during the evaluation of the
method value; the saved copy is then used as the receiver in any calls,
which may be executed later.
</p>

<pre>
type S struct { *T }
type T int
func (t T) M() { print(t) }

t := new(T)
s := S{T: t}
f := t.M                    // receiver *t is evaluated and stored in f

// because starting from version 7, in presence of shape polymorphism JAX will
// emit stablehlo.custom_call @shape_assertion to verify at compile time that
// the code is used with compatible actual shapes.
// TFLite runtime kernels support shape checking and shape inference to some
// extent, it is okay to remove the shape assertion in most scenarios. However

// 'shape' is the original shape with padding to match result shape.
int64_t GetElementIndex(const std::vector<int64_t>& shape,
                        const std::vector<int64_t>& current_index) {
  int64_t ind = 0;
  int64_t mul = 1;
  for (int i = shape.size() - 1; i >= 0; --i) {
    ind += (current_index[i] % shape[i]) * mul;
    mul *= shape[i];
  }
  return ind;
}