How can I change logic from (False to True) based on the 1st column and (True to False) based on the 2nd column

Question

The idea is to switch between the set of True and False conditioned by 2 columns.

For example

Column A	Column B	Column C
False	False	False
False	False	False
True	False	True
False	False	True
True	False	True
True	False	True
True	False	True
False	False	True
False	True	False
False	True	False
False	False	False
False	False	False
False	True	False
True	False	True
False	False	True
False	False	True

What I would like to generate is the "Column C".

"Column A" changes "Column C" from ("False" to "True").

"Column B" changes "Column C" from ("True" to "False").

Triggering by the First "True"

Answer 1

I finally have the answer to this by making use of cumsum().

df['Column A'] = ....
df['Column B'] = ....

df["Cumsum1"] = df['Column A'].cumsum()
df["Cumsum2"] = df["Cumsum1"].where(df["Column B"]).ffill().fillna(0).astype(int)

df["Column C"] = df["Cumsum1"]-df["Cumsum2"]
df["Column C"] = df["Column C"].replace(df["Column C"].values, 1).where(df["Column C"]!=0, 0).astype(bool)

If anyone have the simpler solution, please share. Thanks