old_contents: import unittest
  
  import numpy
  
  import cupy
  from cupy.cuda import compiler
  from cupy.cuda import function
  from cupy import testing
  
  
  def _compile_func(kernel_name, code):
      mod = compiler.compile_with_cache(code)
      return mod.get_function(kernel_name)
  
  
  @testing.gpu
  class TestFunction(unittest.TestCase):
  
      def test_python_scalar(self):
          code = '''
  extern "C" __global__ void test_kernel(const double* a, double b, double* x) {
    int i = threadIdx.x;
    x[i] = a[i] + b;
  }
  '''
  
          a_cpu = numpy.arange(24, dtype=numpy.float64).reshape((4, 6))
          a = cupy.array(a_cpu)
          b = float(2)
          x = cupy.empty_like(a)
  
          func = _compile_func('test_kernel', code)
  
          func.linear_launch(a.size, (a, b, x))
  
          expected = a_cpu + b
          testing.assert_array_equal(x, expected)
  
      def test_numpy_scalar(self):
          code = '''
  extern "C" __global__ void test_kernel(const double* a, double b, double* x) {
    int i = threadIdx.x;
    x[i] = a[i] + b;
  }
  '''
  
          a_cpu = numpy.arange(24, dtype=numpy.float64).reshape((4, 6))
          a = cupy.array(a_cpu)
          b = numpy.float64(2)
          x = cupy.empty_like(a)
  
          func = _compile_func('test_kernel', code)
  
          func.linear_launch(a.size, (a, b, x))
  
          expected = a_cpu + b
          testing.assert_array_equal(x, expected)
  
new_contents: import unittest
  
  import numpy
  
  import cupy
  from cupy.cuda import compiler
  from cupy import testing
  
  
  def _compile_func(kernel_name, code):
      mod = compiler.compile_with_cache(code)
      return mod.get_function(kernel_name)
  
  
  @testing.gpu
  class TestFunction(unittest.TestCase):
  
      def test_python_scalar(self):
          code = '''
  extern "C" __global__ void test_kernel(const double* a, double b, double* x) {
    int i = threadIdx.x;
    x[i] = a[i] + b;
  }
  '''
  
          a_cpu = numpy.arange(24, dtype=numpy.float64).reshape((4, 6))
          a = cupy.array(a_cpu)
          b = float(2)
          x = cupy.empty_like(a)
  
          func = _compile_func('test_kernel', code)
  
          func.linear_launch(a.size, (a, b, x))
  
          expected = a_cpu + b
          testing.assert_array_equal(x, expected)
  
      def test_numpy_scalar(self):
          code = '''
  extern "C" __global__ void test_kernel(const double* a, double b, double* x) {
    int i = threadIdx.x;
    x[i] = a[i] + b;
  }
  '''
  
          a_cpu = numpy.arange(24, dtype=numpy.float64).reshape((4, 6))
          a = cupy.array(a_cpu)
          b = numpy.float64(2)
          x = cupy.empty_like(a)
  
          func = _compile_func('test_kernel', code)
  
          func.linear_launch(a.size, (a, b, x))
  
          expected = a_cpu + b
          testing.assert_array_equal(x, expected)
  
subject: Remove unused import