Hi! I’m trying to download the LiH dataset, but encounter the AttributeError below. Could you please help me figure out the solution?
Here is the code I’m running:
import pennylane as qml
from pennylane import numpy as np
qml.data.load("qchem", molname="LiH", bondlength=1.57, basis="STO-3G")
And here is the error message:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-c0a04eb26b9a> in <module>
1 import pennylane as qml
2 from pennylane import numpy as np
----> 3 qml.data.load("qchem", molname="LiH", bondlength=1.57, basis="STO-3G")
C:\ProgramData\Anaconda3\lib\site-packages\pennylane\data\data_manager\__init__.py in load(data_name, attributes, folder_path, force, num_threads, block_size, **params)
277 for result in results.done:
278 if result.exception() is not None:
--> 279 raise result.exception()
280
281 return [Dataset.open(Path(dest_path), "a") for dest_path in dest_paths]
C:\ProgramData\Anaconda3\lib\concurrent\futures\thread.py in run(self)
55
56 try:
---> 57 result = self.fn(*self.args, **self.kwargs)
58 except BaseException as exc:
59 self.future.set_exception(exc)
C:\ProgramData\Anaconda3\lib\site-packages\pennylane\data\data_manager\__init__.py in _download_dataset(data_path, dest, attributes, block_size, force)
130
131 if attributes is not None or dest.exists():
--> 132 _download_partial(
133 s3_url, dest=dest, attributes=attributes, overwrite=force, block_size=block_size
134 )
C:\ProgramData\Anaconda3\lib\site-packages\pennylane\data\data_manager\__init__.py in _download_partial(s3_url, dest, attributes, overwrite, block_size)
93
94 if remote_dataset:
---> 95 remote_dataset.close()
96
97 dest_dataset.close()
C:\ProgramData\Anaconda3\lib\site-packages\pennylane\data\base\dataset.py in close(self)
238 """Close the underlying dataset file. The dataset will
239 become inaccessible."""
--> 240 self.bind.close()
241
242 @property
C:\ProgramData\Anaconda3\lib\site-packages\h5py\_hl\files.py in close(self)
441 for id_ in file_list:
442 while id_.valid:
--> 443 h5i.dec_ref(id_)
444
445 self.id.close()
h5py\_objects.pyx in h5py._objects.with_phil.wrapper()
h5py\_objects.pyx in h5py._objects.with_phil.wrapper()
h5py\h5i.pyx in h5py.h5i.dec_ref()
h5py\defs.pyx in h5py.defs.H5Idec_ref()
h5py\h5fd.pyx in h5py.h5fd.H5FD_fileobj_write()
h5py\h5fd.pyx in h5py.h5fd.H5FD_fileobj_truncate()
h5py\h5fd.pyx in h5py.h5fd.H5FD_fileobj_flush()
AttributeError: 'HTTPFile' object has no attribute 'flush'
Here is my qml.about() information:
Name: PennyLane
Version: 0.33.0
Summary: PennyLane is a Python quantum machine learning library by Xanadu Inc.
Home-page: GitHub - PennyLaneAI/pennylane: PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Author:
Author-email:
License: Apache License 2.0
Location: c:\programdata\anaconda3\lib\site-packages
Requires: requests, cachetools, numpy, semantic-version, autoray, typing-extensions, toml, appdirs, rustworkx, scipy, networkx, pennylane-lightning, autograd
Required-by: PennyLane-Lightning
Platform info: Windows-10-10.0.19041-SP0
Python version: 3.8.5
Numpy version: 1.23.4
Scipy version: 1.8.1
Installed devices:
- default.gaussian (PennyLane-0.33.0)
- default.mixed (PennyLane-0.33.0)
- default.qubit (PennyLane-0.33.0)
- default.qubit.autograd (PennyLane-0.33.0)
- default.qubit.jax (PennyLane-0.33.0)
- default.qubit.legacy (PennyLane-0.33.0)
- default.qubit.tf (PennyLane-0.33.0)
- default.qubit.torch (PennyLane-0.33.0)
- default.qutrit (PennyLane-0.33.0)
- null.qubit (PennyLane-0.33.0)
- lightning.qubit (PennyLane-Lightning-0.33.1)
. Let me know if that helps!