Simulated data from scRNA data Example Error

[monoplasty]

When I executed the Simulated data from scRNA data code of the SimulatedData.ipynb file, the following error occurred:

OSError                                   Traceback (most recent call last)
Cell In[7], line 4
      1 scRNADir1 = 'Brain_10X'
      2 scRNADir2 = 'Brain_Smart-seq'
----> 4 generate_dataset_data(scRNADir1, scRNADir2, celltype_key = 'celltype_final',reverse = False)
      5 generate_dataset_data(scRNADir1, scRNADir2, celltype_key = 'celltype_final',reverse = True)

Cell In[5], line 2, in generate_dataset_data(scRNADir1, scRNADir2, celltype_key, reverse)
      1 def generate_dataset_data(scRNADir1, scRNADir2, celltype_key,reverse = False):
----> 2     scrna, spatial = check_dataset(scRNADir1, scRNADir2, top_genes=200, plot=False,reverse=reverse,check=False)
      3     if not reverse:
      4         output_dir = scRNADir1

Cell In[3], line 37, in check_dataset(scRNADir1, scRNADir2, top_genes, plot, reverse, check)
     34 assert len(celltype_meta_1['celltype_final'][celltype_meta_1['celltype_final'] != 'Not_specific'].unique()) == len(overlaped_celltype), data_ident_1+': unique celltype length dont match.'
     35 assert len(celltype_meta_2['celltype_final'][celltype_meta_2['celltype_final'] != 'Not_specific'].unique()) == len(overlaped_celltype), data_ident_2+': unique celltype length dont match.'
---> 37 data_1 = sc.read_h5ad(scRNADir1 + '/scRNA.h5ad')
     38 data_2 = sc.read_h5ad(scRNADir2 + '/scRNA.h5ad')
     40 data_1 = check_adata(data_1, os.path.join(scRNADir1, 'Processed_scRNA.h5ad'))

File ~/miniconda3/envs/py38/lib/python3.8/site-packages/anndata/_io/h5ad.py:219, in read_h5ad(filename, backed, as_sparse, as_sparse_fmt, chunk_size)
    211         raise NotImplementedError(
    212             "Currently only `X` and `raw/X` can be read as sparse."
    213         )
    215 rdasp = partial(
    216     read_dense_as_sparse, sparse_format=as_sparse_fmt, axis_chunk=chunk_size
    217 )
--> 219 with h5py.File(filename, "r") as f:
    221     def callback(func, elem_name: str, elem, iospec):
    222         if iospec.encoding_type == "anndata" or elem_name.endswith("/"):

File ~/miniconda3/envs/py38/lib/python3.8/site-packages/h5py/_hl/files.py:424, in File.__init__(self, name, mode, driver, libver, userblock_size, swmr, rdcc_nslots, rdcc_nbytes, rdcc_w0, track_order, fs_strategy, fs_persist, fs_threshold, **kwds)
    422 with phil:
    423     fapl = make_fapl(driver, libver, rdcc_nslots, rdcc_nbytes, rdcc_w0, **kwds)
--> 424     fid = make_fid(name, mode, userblock_size,
    425                    fapl, fcpl=make_fcpl(track_order=track_order, fs_strategy=fs_strategy,
    426                    fs_persist=fs_persist, fs_threshold=fs_threshold),
    427                    swmr=swmr)
    429 if isinstance(libver, tuple):
    430     self._libver = libver

File ~/miniconda3/envs/py38/lib/python3.8/site-packages/h5py/_hl/files.py:190, in make_fid(name, mode, userblock_size, fapl, fcpl, swmr)
    188     if swmr and swmr_support:
    189         flags |= h5f.ACC_SWMR_READ
--> 190     fid = h5f.open(name, flags, fapl=fapl)
    191 elif mode == 'r+':
    192     fid = h5f.open(name, h5f.ACC_RDWR, fapl=fapl)

File h5py/_objects.pyx:54, in h5py._objects.with_phil.wrapper()

File h5py/_objects.pyx:55, in h5py._objects.with_phil.wrapper()

File h5py/h5f.pyx:96, in h5py.h5f.open()

OSError: Unable to open file (truncated file: eof = 3001450496, sblock->base_addr = 0, stored_eof = 5047473549)

I searched for similar issues and got the answer that the original file is corrupted.
my env:

Package             Version
------------------- -------
anndata             0.9.1
asttokens           2.0.5
backcall            0.2.0
blosc2              2.0.0
comm                0.1.2
contourpy           1.0.7
cycler              0.11.0
Cython              0.29.34
debugpy             1.5.1
decorator           5.1.1
dunamai             1.16.0
executing           0.8.3
fonttools           4.39.3
get_version         3.5.4
h5py                3.1.0
importlib-metadata  6.0.0
importlib-resources 5.12.0
ipykernel           6.19.2
ipython             8.12.0
jedi                0.18.1
joblib              1.2.0
jupyter_client      8.1.0
jupyter_core        5.3.0
kiwisolver          1.4.4
legacy-api-wrap     1.2
llvmlite            0.40.0
matplotlib          3.3.4
matplotlib-inline   0.1.6
msgpack             1.0.5
natsort             8.3.1
nest-asyncio        1.5.6
networkx            3.1
numba               0.57.0
numexpr             2.8.4
numpy               1.24.3
packaging           23.0
pandas              1.1.5
parso               0.8.3
patsy               0.5.3
pexpect             4.8.0
pickleshare         0.7.5
Pillow              9.5.0
pip                 23.0.1
platformdirs        2.5.2
prompt-toolkit      3.0.36
psutil              5.9.0
ptyprocess          0.7.0
pure-eval           0.2.2
py-cpuinfo          9.0.0
Pygments            2.15.1
pynndescent         0.5.10
pyparsing           3.0.9
python-dateutil     2.8.2
pytz                2023.3
pyzmq               25.0.2
scanpy              1.7.2
scikit-learn        1.2.2
scipy               1.10.1
seaborn             0.12.2
setuptools          66.0.0
sinfo               0.3.4
six                 1.16.0
stack-data          0.2.0
statsmodels         0.14.0
stdlib-list         0.8.0
tables              3.8.0
threadpoolctl       3.1.0
tornado             6.2
tqdm                4.65.0
traitlets           5.7.1
typing_extensions   4.5.0
tzdata              2023.3
umap-learn          0.5.3
wcwidth             0.2.5
wheel               0.38.4
zipp                3.11.0