except ImportError:  # pragma: no cover

    class EmailStr(str):  # type: ignore
        @classmethod
        def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
            yield cls.validate

        @classmethod
        def validate(cls, v: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"

	}

	bp.Put(b)

	// Check the size of the pool.
	if uint64(len(bp.c)) != size {
		t.Fatalf("bytepool size invalid: got %v want %v", len(bp.c), size)
	}

	// lets drain the buf channel first before we validate invalid buffers.
	for i := uint64(0); i < size; i++ {
		bp.Get() // discard
	}

	// Try putting some invalid buffers into pool
	bp.Put(make([]byte, bp.w, bp.wcap-1)) // wrong capacity is rejected (less)

	}
	// Validate all the test cases.
	for i, tt := range testCases {
		formValues := make(http.Header)
		formValues.Set("Bucket", tt.Bucket)
		formValues.Set("Key", tt.Key)
		formValues.Set("Content-Type", tt.ContentType)

func ConnectWS(dial ContextDialer, auth AuthFn, tls *tls.Config) func(ctx context.Context, remote string) (net.Conn, error) {
	return ConnectWSWithRoutePath(dial, auth, tls, RoutePath)
}

// ValidateTokenFn must validate the token and return an error if it is invalid.

# "pip tests" run a similar suite of tests the "nonpip" tests, but do something
# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which

* `limit`: with a value of `10`

As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)

    else:
        authenticate_value = "Bearer"
    credentials_exception = HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
        detail="Could not validate credentials",
        headers={"WWW-Authenticate": authenticate_value},
    )
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")

    else:
        authenticate_value = "Bearer"
    credentials_exception = HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
        detail="Could not validate credentials",
        headers={"WWW-Authenticate": authenticate_value},
    )
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")

		t.Run(fmt.Sprintf("Test %d", i+1), func(t *testing.T) {
			var rule Rule
			err := xml.Unmarshal([]byte(tc.inputXML), &rule)
			if err != nil {
				t.Fatal(err)
			}

			if err := rule.Validate(); err != tc.expectedErr {
				t.Fatalf("%d: Expected %v but got %v", i+1, tc.expectedErr, err)
			}
		})
	}

 */
class CacheControl internal constructor(
  /**
   * In a response, this field's name "no-cache" is misleading. It doesn't prevent us from caching
   * the response; it only means we have to validate the response with the origin server before
   * returning it. We can do this with a conditional GET.
   *
   * In a request, it means do not use a cache to satisfy the request.
   */