code: def block_copy_kernel(
      a_ptr,
      b_ptr,
      N,
      BLOCK_SIZE: tl.constexpr,
      padding_option: tl.constexpr,
  ):
      pid = tl.program_id(0)
      # We only copy half of the data to see if the padding works
      a_block_ptr = tl.make_block_ptr(
          base=a_ptr,
          shape=(N // 2,),
          strides=(1,),
          offsets=(pid * BLOCK_SIZE,),
          block_shape=(BLOCK_SIZE,),
          order=(0,),
      )
      b_block_ptr = tl.make_block_ptr(
          base=b_ptr,
          shape=(N,),
          strides=(1,),
          offsets=(pid * BLOCK_SIZE,),
          block_shape=(BLOCK_SIZE,),
          order=(0,),
      )
      a = tl.load(
          a_block_ptr,
          boundary_check=(0,),
          padding_option=padding_option,
      )
      tl.store(b_block_ptr, a, boundary_check=(0,))
  
imports: import pytest
  import torch
  import triton
  import triton.language
label_desc: Use image node_id 1 for calling a global function with example usage: block_copy_kernel(a_ptr, b_ptr, N, BLOCK_SIZE, padding_option) without return types