pyxrt not compatible with numpy v2.0.0

Using pyxrt with numpy v2.0.0 results in all bytes being read as 1.

Minimal reproduction script below.
Uses xclbin file available here: https://gitlab.com/ska-telescope/low-cbf/ska-low-cbf-fw-cnic/-/packages/26156556
but I think any xclbin file or different Alveo card is likely to produce the same result.

import pyxrt
device = pyxrt.device("0000:d2:00.1")
xclbin = pyxrt.xclbin("./cnic.xclbin")
uuid = device.load_xclbin(xclbin)
kernel_names = [kernel.get_name() for kernel in xclbin.get_kernels()]
cu_name = kernel_names[0]
kernel = pyxrt.kernel(device, uuid, cu_name, pyxrt.kernel.cu_access_mode(0))

mem_group_ids = []
num_args = 0
for n in range(100):
    try:
        gid = kernel.group_id(n)
        num_args += 1
        if gid not in (-1, 0xFFFF):
            mem_group_ids.append(gid)
            print(f"Kernel group: {n}, memory bank {gid}")
    except IndexError as e:
        print(f"_load_firmware; n:{n}, {e}")
        break

buf = pyxrt.bo(device, 128<<10, pyxrt.bo.flags.normal, mem_group_ids.pop(0))

task = kernel(0, 0x8000*4, buf, 64)

task.wait()
buf.sync(pyxrt.xclBOSyncDirection.XCL_BO_SYNC_BO_FROM_DEVICE, 64, 0)
result = buf.read(64, 0)
print(result)


# Wrong result w/ numpy v2.0.0
# array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
#       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
#       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
#      dtype=int8)


# Correct result w/ numpy v1.23.0
# array([  1, 112, 106,  -7,  18,  25,   9,  35,   1,   0,   0,   0,   0,
#         0,   0,   0, 102, 102, 102, 102,   0,   0,   0,   0,   1,   0,
#         0,   0,   8,   0,   0,   0,   0,   0,   0,   0,  67,  73,  78,
#        67,  18,  39, -49,  99,  78,  73,  65,  77,  64,   2,   0,   0,
#         1, 117, -57,  57,  62,   2,   0,   0,   0,   0,   0,   0],
#      dtype=int8)

Start with the minimal reproduction script in the issue, using the linked xclbin, and compare pyxrt.buf.read() under numpy 2.0.0 and 1.23.0. Investigate the difference in returned byte data and verify the fix against the script; done means the bytes read with numpy 2.0.0 match the expected result rather than all being 1.