Zstd compression does not encode content size in header about tensorstore HOT 2 OPEN

In [1]: import tensorstore as ts, zstandard as zstd

In [2]: ds = ts.open({
   ...:     'driver': 'zarr',
   ...:     'kvstore': {
   ...:         'driver': 'file',
   ...:         'path': 'tmp/zarr_zstd_dataset',
   ...:     },
   ...:     'metadata': {
   ...:         'compressor': {
   ...:             'id': 'zstd',
   ...:             'level': 3,
   ...:         },
   ...:         'shape': [1024, 1024],
   ...:         'chunks': [64, 64],
   ...:         'dtype': '|u1',
   ...:     }
   ...: }).result()

In [3]: ds[:] = 5

In [4]: with open("tmp/zarr_zstd_dataset/0/0", "rb") as f:
   ...:     src = f.read()
   ...: 

In [5]: zstd.backend_c.frame_content_size(src)
Out[5]: -1

In [6]: zstd.ZstdDecompressor().decompress(src)
---------------------------------------------------------------------------
ZstdError                                 Traceback (most recent call last)
Cell In[6], line 1
----> 1 zstd.ZstdDecompressor().decompress(src)

ZstdError: could not determine content size in frame header

In [7]: zstd.ZstdDecompressor().decompress(src, max_output_size=1024*1024)
Out[7]: b'\x05\x05\x05\x05\x05\x05\x05\x05\x05 [...] \x05\x05\x05 '