Referenced before assignment

[emilpaulitz]

Bug Description

Running the tool with a fasta file with some thousand protein sequences, invokes DIAMOND, and then the error occurs and the tool stops. The tool is installed in its own conda environment.

Runtime Environment

• Operation System: Linux Debian 6.1.106-3, exteranlly managed hpc
• Python: Python 3.8.20
• Tensorflow: tensorflow 2.6.5
• PFmap: PFmap version, such as git commit id or git tag I'm guessing this should say annopro? annopro 0.2a0+2.g547770e

CUDA And GPU

No CUDA

Logs

2024-10-28 10:56:29.993233: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2024-10-28 10:56:29.995083: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2024-10-28 10:56:29.996659: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (n-hpc-ca4): /proc/driver/nvidia/version does not exist
2024-10-28 10:56:29.998566: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
  File "/home/paulitz/.conda/envs/annopro/bin/annopro", line 8, in <module>
    sys.exit(console_main())
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/annopro/__init__.py", line 27, in console_main
    main(
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/annopro/__init__.py", line 75, in main
    predict(output_dir=output_dir,
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/annopro/prediction.py", line 19, in predict
    init_evaluate(term_type=term_type,
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/annopro/prediction.py", line 160, in init_evaluate
    preds = model.predict(data_generator, steps=data_steps)
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/keras/engine/training.py", line 1720, in predict
    data_handler = data_adapter.get_data_handler(
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/keras/engine/data_adapter.py", line 1383, in get_data_handler
    return DataHandler(*args, **kwargs)
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/keras/engine/data_adapter.py", line 1138, in __init__
    self._adapter = adapter_cls(
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/keras/engine/data_adapter.py", line 917, in __init__
    super(KerasSequenceAdapter, self).__init__(
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/keras/engine/data_adapter.py", line 794, in __init__
    peek, x = self._peek_and_restore(x)
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/keras/engine/data_adapter.py", line 928, in _peek_and_restore
    return x[0], x
  File "/home/paulitz/.conda/envs/annopro/lib/python3.8/site-packages/annopro/prediction.py", line 50, in __getitem__
    return ([data_onehot, data_si])
UnboundLocalError: local variable 'data_onehot' referenced before assignment