from .database import SessionLocal, engine

models.Base.metadata.create_all(bind=engine)

app = FastAPI()


# Dependency
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()


@app.post("/users/", response_model=schemas.User)
def create_user(user: schemas.UserCreate, db: Session = Depends(get_db)):

              while (!shutdown.get()) {
                interruptee.interrupt();
                Thread.yield();
              }
            }
          });
      this.shutdown = shutdown;
      start();
    }

    void shutdown() {
      shutdown.set(true);
      while (this.isAlive()) {
        Thread.yield();
      }
    }
  }

  void assertWrapsInterruptedException(RuntimeException e) {

    "tfl.yield"(%test) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg2: tensor<i32>, %arg3: tensor<f32>):
    %cst = arith.constant dense<22.0> : tensor<f32>
    %stride = arith.constant dense<1> : tensor<i32>
    %inc = tfl.add %arg2, %stride {fused_activation_function = "NONE"} : tensor<i32>
    "tfl.yield"(%inc, %cst) : (tensor<i32>, tensor<f32>) -> ()

/**
 * Mechanism by which the scan plugin registers for notifications.
 * <p>
 * One instance of this exists per build tree.
 * Only one listener may register.
 * Subsequent attempts yield exceptions.
 *
 * @since 4.0
 */
@UsedByScanPlugin("obtained from the root build's root project's service registry")
@ServiceScope(Scope.CrossBuildSession.class)

from .database import SessionLocal, engine

models.Base.metadata.create_all(bind=engine)

app = FastAPI()


# Dependency
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()


@app.post("/users/", response_model=schemas.User)
def create_user(user: schemas.UserCreate, db: Session = Depends(get_db)):

              while (!shutdown.get()) {
                interruptee.interrupt();
                Thread.yield();
              }
            }
          });
      this.shutdown = shutdown;
      start();
    }

    void shutdown() {
      shutdown.set(true);
      while (this.isAlive()) {
        Thread.yield();
      }
    }
  }

  void assertWrapsInterruptedException(RuntimeException e) {

  for (Value value : extern_values) {
    auto arg = block.addArgument(value.getType(), loc);
    replaceAllUsesInRegionWith(value, arg, func_region);
    new_args.push_back(arg);
  }

  // Replace yield op with return.
  Operation* yield_op = outlined_func.getBody().front().getTerminator();
  OpBuilder b(yield_op);
  llvm::SmallVector<Value, 4> args;
  auto loop_carried_yield_operands =

      %result_2 = "tf.StatefulPartitionedCall"() {config = "", config_proto = "", executor_type = "", f = @inline_into_island_multi_block_callee} : () -> tensor<2xi32>

      // CHECK-NEXT: tf_executor.yield %[[CST]], %[[CALL]]
      tf_executor.yield %result, %result_2 : tensor<2xi32>, tensor<2xi32>
    }
    tf_executor.fetch %1#1, %1#1 : tensor<2xi32>, tensor<2xi32>
  }
  func.return %0#1, %0#1 : tensor<2xi32>, tensor<2xi32>
}

    %1 = func.call @cond(%arg2, %arg3) : (tensor<*xi32>, tensor<*xf32>) -> tensor<i1>
    "tfl.yield"(%1) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg2: tensor<*xi32>, %arg3: tensor<*xf32>):
    %1:2 = func.call @body(%arg2, %arg3) : (tensor<*xi32>, tensor<*xf32>) -> (tensor<*xi32>, tensor<*xf32>)
    "tfl.yield"(%1#0, %1#1) : (tensor<*xi32>, tensor<*xf32>) -> ()

        %result = "tf.Case"(%index, %input) {branches = [@branch_0, @branch_1, @branch_2, @branch_3, @branch_4], is_stateless = false} : (tensor<i32>, tensor<i32>) -> tensor<i32>
        tf_executor.yield %result : tensor<i32>
      }
      tf_executor.fetch %output : tensor<i32>

    }
    func.return %0 : tensor<i32>
  }
  func.func @branch_0(%arg0: tensor<i32>) -> tensor<i32> {