ValueError with range_split and IndicatorFactory

[AndreMes]

Hi!

I have been studying a lot this library, trying out all sorts of things and got stuck in a particular problem that whatever I try, I have no success and I am already very frustrated at it, usually I solve everything on my own but this one I don't know what to do and have no ideas anymore. Might be something obvious, but I am already blind at it.

First, let's look at a situation that it is very similar and works properly:

DONCHIAN = vbt.IndicatorFactory.from_pandas_ta("Donchian")
donchian = DONCHIAN.run(ohlcv_input["High"],
                        ohlcv_input["Low"],
                        lower_length=fib_interval[TIMEFRAME],
                        upper_length=fib_interval[TIMEFRAME],
                        param_product=True)
entry_signals = donchian.dcu.pct_change().shift(1) > 0
exit_signals = donchian.dcl.pct_change().shift(1) < 0

It just gets an indicator from pandas_ta, the input data is from a dictionary containing the OHLCV dataframes and it works for any number of tickers.

Now, the problematic code:

N = 10
RANGE_LEN = 365
high_price, high_range = ohlcv_input["High"].vbt.range_split(n=N, range_len=RANGE_LEN)
low_price, low_range = ohlcv_input["Low"].vbt.range_split(n=N, range_len=RANGE_LEN)
close_price, close_range = ohlcv_input["Close"].vbt.range_split(n=N, range_len=RANGE_LEN)
DONCHIAN = vbt.IndicatorFactory.from_pandas_ta("Donchian")
donchian = DONCHIAN.run(high=high_price,
                        low=low_price,
                        lower_length=fib_interval[timeframe],
                        upper_length=fib_interval[timeframe],
                        param_product=True)
entry_signals = donchian.dcu.pct_change().shift(1) > 0
exit_signals = donchian.dcl.pct_change().shift(1) < 0

When I run it, I get:

ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 365 and the array at index 9 has size 10

On my view, the 'problematic' code is almost the same case as the first.
ohlcv['High'] is a dataframe of dimensions days (worth of data) rows x n_tickers columns.
high_price is a dataframe of dimensions RANGE_LEN rows x N columns.

I don't understand why it works on the first code and not on the second.
The things I remember I tried were using a datetime index (didn't work) and trying other indicator (moving average and it worked, but it is not the indicator I want to try things out)
This makes me think the problem is with the indicator, but it worked well on the first code.
Maybe it has something to do with the dataframe?
I need some help.

[AndreMes]

After some more energy and effort put into it, I managed to understand what happened.
It's pretty straightforward...
fib_interval[timeframe] = [..., 377]
Since RANGE_LEN = 365
The parameter couldn't be calculated...

To be honest, the exception message didn't help me at all, it sent me to another direction, but anyway, it is solved and someone might find it useful in the future.