Hi, I was exploring your modules for sequence generation. I stumbled across one issue appearing in sequence_generation.py and sonia.py scripts. I was getting below error:
ValueError: high is out of bounds for int32
for the part of code that is generating the seeds values:
seeds=np.random.randint(2**32-1,size=num_gen_seqs)
Since no dtype is provided for np.random.randint method, numpy is using a default int, which is platform dependant. For Windows64 machines this will be int32 (you can read about it here: https://stackoverflow.com/questions/36278590/numpy-array-dtype-is-coming-as-int32-by-default-in-a-windows-10-64-bit-machine). Since it's a signed 32 bits integer, the 2**32-1 value is out of bounds. You can easily fix it by specifying dtype while generating seeds, for example:
seeds=np.random.randint(2**32-1,size=num_seqs,dtype=np.int64)
Hi, I was exploring your modules for sequence generation. I stumbled across one issue appearing in sequence_generation.py and sonia.py scripts. I was getting below error:
for the part of code that is generating the seeds values:
seeds=np.random.randint(2**32-1,size=num_gen_seqs)Since no dtype is provided for
np.random.randintmethod, numpy is using a default int, which is platform dependant. For Windows64 machines this will be int32 (you can read about it here: https://stackoverflow.com/questions/36278590/numpy-array-dtype-is-coming-as-int32-by-default-in-a-windows-10-64-bit-machine). Since it's a signed 32 bits integer, the2**32-1value is out of bounds. You can easily fix it by specifying dtype while generating seeds, for example:seeds=np.random.randint(2**32-1,size=num_seqs,dtype=np.int64)