How to use the composeml.data_slice.DataSliceContext function in composeml

assert df.index.is_monotonic_increasing, "Please sort your dataframe chronologically before calling search"

        if df.empty:
            return

        threshold = min_data or df.index[0]
        df, cutoff_time = cutoff_data(df=df, threshold=threshold)

        if df.empty:
            return

        if isinstance(gap, int):
            cutoff_time = df.index[0]

        df = DataSlice(df)
        df.context = DataSliceContext(slice_number=0, target_entity=self.target_entity)

        def iloc(index, i):
            if i < index.size:
                return index[i]

        while not df.empty and cutoff_time <= df.index[-1]:
            if isinstance(self.window_size, int):
                df_slice = df.iloc[:self.window_size]
                window_end = iloc(df.index, self.window_size)

            else:
                window_end = cutoff_time + self.window_size
                df_slice = df[:window_end]

                # Pandas includes both endpoints when slicing by time.
                # This results in the right endpoint overlapping in consecutive data slices.