[`tf.experimental.numpy`](https://www.tensorflow.org/api_docs/python/tf/experimental/numpy),
    which is a NumPy-compatible API for writing TF programs. This module
    provides class `ndarray`, which mimics the `ndarray` class in NumPy, and
    wraps an immutable `tf.Tensor` under the hood. A subset of NumPy functions
    (e.g. `numpy.add`) are provided. Their inter-operation with TF facilities is
    seamless in most cases. See

		return true
	}
	// match: (Load <t> _ _)
	// cond: t.IsArray() && t.NumElem() == 0
	// result: (ArrayMake0)
	for {
		t := v.Type
		if !(t.IsArray() && t.NumElem() == 0) {
			break
		}
		v.reset(OpArrayMake0)
		return true
	}
	// match: (Load <t> ptr mem)
	// cond: t.IsArray() && t.NumElem() == 1 && CanSSA(t)
	// result: (ArrayMake1 (Load <t.Elem()> ptr mem))

		{"(*Alias).String", Method, 22},
		{"(*Alias).Underlying", Method, 22},
		{"(*ArgumentError).Error", Method, 18},
		{"(*ArgumentError).Unwrap", Method, 18},
		{"(*Array).Elem", Method, 5},
		{"(*Array).Len", Method, 5},
		{"(*Array).String", Method, 5},
		{"(*Array).Underlying", Method, 5},
		{"(*Basic).Info", Method, 5},
		{"(*Basic).Kind", Method, 5},
		{"(*Basic).Name", Method, 5},
		{"(*Basic).String", Method, 5},