How can I combine two condition together?

I have dataframe such as:

EXCLUDE    WARNSIGN_DTL    EVENT_DTL    EVENT_DTL_2

1_1    The thing happened on 2021...    according to this, this people did bla bla on 2021...    It happened on 2021....
1_2    similar thing happened on 2012...    that was happened on 2012...
...
1_1    Sam did on 2012...    that was happened on 2012...    it hasn't made sense till 2012...

Note: I simplified the original code in this

I made a code such as:

df_check = df[['EXCLUDE','WARNSIGN_DTL','EVENT_DTL','EVENT_DTL_2']]
df_check.EXCLUDE!=1_1 & df_check.apply(lambda x: x.str.contains('2021|2012', na=False))

but I got this error:

---------------------------------------------------------------------------

MemoryError: Unable to allocate 82.1 GiB for an array with shape (104959, 104959) and data type float64

>Solution :

For first condition add () and for second add DataFrame.all if need test if all Trues per rows or
DataFrame.any if test at least one True per row:

mask = (df_check.EXCLUDE!='1_1') & 
        df_check.apply(lambda x: x.str.contains('2021|2012', na=False).all(axis=1))

mask = (df_check.EXCLUDE!='1_1') & 
        df_check.apply(lambda x: x.str.contains('2021|2012', na=False).any(axis=1))

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