"Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,

		for _, p := range policiesToUpdate.ToSlice() {
			if _, found := cache.iamPolicyDocsMap[p]; !found {
				err = errNoSuchPolicy
				return
			}
		}
		newPolicySet = existingPolicySet.Union(policiesToUpdate)
	} else {
		// policies to detach => inputPolicies ∩ existing (intersection)
		policiesToUpdate = policiesToUpdate.Intersection(existingPolicySet)

```Python
from typing import Union
from fastapi import Cookie, FastAPI, Header, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
def main(
    item_id: int = Path(gt=0),
    query: Union[str, None] = Query(default=None, max_length=10),
    session: Union[str, None] = Cookie(default=None, min_length=3),
    x_trace: Union[str, None] = Header(default=None, title="Tracing header"),

	<li>The type set of a term of the form <code>~T</code>
		is the set of all types whose underlying type is <code>T</code>.
	</li>

	<li>The type set of a <i>union</i> of terms
		<code>t<sub>1</sub>|t<sub>2</sub>|…|t<sub>n</sub></code>
		is the union of the type sets of the terms.
	</li>
</ul>

<p>
The quantification "the set of all non-interface types" refers not just to all (non-interface)

    for details of what operations are supported and what are the differences
    from NumPy.
*   `tf.types.experimental.TensorLike` is a new `Union` type that can be used as
    type annotation for variables representing a Tensor or a value that can be
    converted to Tensor by `tf.convert_to_tensor`.