tess

@reuster986, when you get a chance, could you take a look at these questions from the review of #1330

Hey @mhmerrill is this something that we care to fix or should we go ahead and close the issue?

@mhmerrill, do we still want this worked?

This issue is related to #1385

Note this issue is related to and summarizes the conversation in #677. I would recommend closing that issue in favor of this one

Thanks for reporting this! If I'm understanding correctly, I think you need to specify the `dtype` as `ak.uint64` In our latest tagged release (`v2022.04.15`) ```python >>> ak.get_config()['arkoudaVersion'] 'v2022.04.15' >>> x...

it's also worth noting this behavior is the same as numpy ```python >>> x = [2**63, 6, 2**63-1, 2**63+1] >>> np.array(x) >>> array([9.22337204e+18, 6.00000000e+00, 9.22337204e+18, 9.22337204e+18]) >>> np.array(x, dtype=np.uint64) array([9223372036854775808,...

hmmm i'm curious what @reuster986 and @mhmerrill think. Normally `numpy` is our gold standard as far as desired behavior but maybe it makes sense to deviate in this case?

Just to show how pandas and numpy handle this issue. It appears like numpy defaults to float and pandas errors unless dtype is specified ```python >>> import pandas as pd...

Hey @kellyjoy15, I'm sorry this has been so frustrating! I'm hoping this will work more the way you expect once #1363 is resolved Reading through your example it does seem...