This behavior was reverted in 0.118.0, to make the exit code after `yield` be executed after the response is sent.

Add an upper bound for `protobuf` in `setup.py` since `protobuf` after version 3.20 is currently incompatible with TensorFlow. See https://github.com/tensorflow/tensorflow/issues/53234, https://github.com/protocolbuffers/protobuf/issues/9954 and https://github.com/tensorflow/tensorflow/issues/56077.

# Release 2.8.2

NewNat().reset(len(m.limbs)) A.limbs[0] = 1 B := NewNat().reset(len(a.limbs)) C := NewNat().reset(len(m.limbs)) D := NewNat().reset(len(a.limbs)) D.limbs[0] = 1 // Before and after each loop iteration, the following hold: // // u = A*a - B*m // v = D*m - C*a // 0 < u <= a // 0 <= v <= m // 0 <= A < m // 0 <= B <= a // 0 <= C < m // 0 <= D <= a // // After each loop iteration, u and v only get smaller, and at least one of // them shrinks by at least a factor of two. for { // If both u and v are odd, subtract the...

NewNat().reset(len(m.limbs)) A.limbs[0] = 1 B := NewNat().reset(len(a.limbs)) C := NewNat().reset(len(m.limbs)) D := NewNat().reset(len(a.limbs)) D.limbs[0] = 1 // Before and after each loop iteration, the following hold: // // u = A*a - B*m // v = D*m - C*a // 0 < u <= a // 0 <= v <= m // 0 <= A < m // 0 <= B <= a // 0 <= C < m // 0 <= D <= a // // After each loop iteration, u and v only get smaller, and at least one of // them shrinks by at least a factor of two. for { // If both u and v are odd, subtract the...