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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def collect_overwrites_for_sid(self, group, dates, requested_qtr_data, last_per_qtr, sid_idx, columns, all_adjustments_for_sid, sid):
 """ Given a sid, collect all overwrites that should be applied for this sid at each quarter boundary. Parameters group : pd.DataFrame The data for `sid`. dates : pd.DatetimeIndex The calendar dates for which estimates data is requested. requested_qtr_data : pd.DataFrame The DataFrame with the latest values for the requested quarter for all columns. last_per_qtr : pd.DataFrame A DataFrame with a column MultiIndex of [self.estimates.columns, normalized_quarters, sid] that allows easily getting the timeline of estimates for a particular sid for a particular quarter. sid_idx : int The sid's index in the asset index. columns : list of BoundColumn The columns for which the overwrites should be computed. all_adjustments_for_sid : dict[int -> AdjustedArray] A dictionary of the integer index of each timestamp into the date index, mapped to adjustments that should be applied at that index for the given sid (`sid`). This dictionary is modified as adjustments are collected. sid : int The sid for which overwrites should be computed. """

        # If data was requested for only 1 date, there can never be any
        # overwrites, so skip the extra work.
        if len(dates) == 1:
            return

        next_qtr_start_indices = dates.searchsorted(
            group[EVENT_DATE_FIELD_NAME].values,
            side=self.searchsorted_side,
        )

        qtrs_with_estimates = group.index.get_level_values(
            NORMALIZED_QUARTERS
        ).values
        for idx in next_qtr_start_indices:
            if 0 < idx < len(dates):
                # Find the quarter being requested in the quarter we're
                # crossing into.
                requested_quarter = requested_qtr_data[
                    SHIFTED_NORMALIZED_QTRS, sid,
                ].iloc[idx]
                # Only add adjustments if the next quarter starts somewhere
                # in our date index for this sid. Our 'next' quarter can
                # never start at index 0; a starting index of 0 means that
                # the next quarter's event date was NaT.
                self.create_overwrites_for_quarter(
                    all_adjustments_for_sid,
                    idx,
                    last_per_qtr,
                    qtrs_with_estimates,
                    requested_quarter,
                    sid,
                    sid_idx,
                    columns
                )