Q-jV ddlmZmZddlmZmZddlmZmZddl m Z m Z m Z ddl m Z  dded ed ed ed ed ededefdZy)) DataFrameSeries)DictLikeInt)hlc3sma)v_offset v_pos_defaultv_series)atrNhighlowcloselength atr_lengthoffsetkwargsreturnc t|d}t|d}t||dz}t||}t||}t||}|||yt|}t ||||}t |||} t | |} | |z} | |z } |dk7rD| j|} | j|} | j|} |j|}d|vrX| j|dd | j|dd | j|dd |j|dd d |d |} d | | _ d | | _ d| | _ d| |_ dx| _ | _ | jx| _ |_ | j| | j| | j| |j|i}t||j}d| |_ | j|_ |S)a0Aberration Similar to Keltner Channels. Sources: * [Request #46](https://github.com/twopirllc/pandas-ta/issues/46) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series close (Series): ```close``` Series length (int): The period. Default: ```5``` atr_length (int): ATR period. Default: ```15``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 4 columns r N)rrrr)rrrrfillnaT)inplace_ABER_ZGABER_SGABER_XGABER_ATR volatility)indexABER) r maxr r r rrshiftrnamecategoryrr!)rrrrrrr_lengthatr_jgzgsgxg_propsdatadfs m/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/aberration.py aberrationr1 s661 %Fz2.J*f%)G D' "D 3 C UG $E |s{em f F Dcz BD 4S .B RB dB dB{ XXf  XXf  XXf zz&!6 &"D 1 &"D 1 &"D 1 F8$d 3* &Fx BGx BGx BG6(#DI ,,BK"+"$++-BK$- GGR"bggr499d CD 4u{{ +BVHoBG++BK I)NNN)pandasrrpandas_ta._typingrrpandas_ta.overlaprrpandas_ta.utilsr r r r r1r2r0r8ss$+'== +/K KK&,K K$'K K#+K Kr2