[Python] How to change the precision of the percentage in tqdm?

I use tqdm to print a progress bar for a long running optimization process with hyperopt. The process calls a function say 500 times and each call will take around 10 to 20 minutes, so I started to make the progress display a bit more fine granular and added some tqdm.update-statements in the loop, advancing the progress bar fraction-wise to avoid having two nested progress bars while still beeing able to immediately see how many function calls have been performed so far.

Now the ugly result looks like this:

15%|███▌ | 73.69999999999993/500 [7:40:31<102:54:08, 868.98s/it, evaluating fold 2 of 2 folds...]Iteration 1, loss = 2.50358388


You can see above, it is the 73th call of the function and this 73th function call is about 70% finished. In fact I just estimated the number of substeps m in the function (which might vary from call to call) and used the fraction 1/m to update the progress bar. Then after the function call I just synchronize the progress bar back to a full integer to avoid adding rounding errors.

Of course accuracy is not an issue at all here. But I would like to display 73.70 rather than 73.69999999999993. I already tried to round my update value to two decimal places, which doesn't fix the problem, because of precision issues in float, if a number is not exactly representable by a float, then it gets ugly-long again. According to the documentation of tqdm this part is hidden in the in the part r_bar of the whole format string, but I couldn't find a way to set it. Can you help me with this?

According to the docs r_bar defaults to:

r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, '


Here is my code:

with tqdm(iterable=None, initial=num_trials, maxinterval=maxinterval, total=max_evals, ascii=False, disable=show_progressbar is False) as progress_bar:
def fn_to_minimize(*args, **kwargs):
return fn(*args, **kwargs, _progress_bar=progress_bar)

for num_trials in range(num_trials, max_evals):
progress_bar.n=float(num_trials)
progress_bar.refresh()
best = fmin(**kwargs, fn=fn_to_minimize, trials=trials, max_evals=num_trials+1)

# do some other stuff here


In the called function (one of the entries in kwargs btw) I update the progress bar just like this:

_progress_bar.update(round(update_value, 2))

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