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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 push_rows(self, dataset, table, rows, insert_id_key=None, skip_invalid_rows=None, ignore_unknown_values=None, template_suffix=None, project_id=None):
 """Upload rows to BigQuery table. Parameters dataset : str The dataset to upload to table : str The name of the table to insert rows into rows : list A ``list`` of rows (``dict`` objects) to add to the table insert_id_key : str, optional Key for insertId in row. You can use dot separated key for nested column. skip_invalid_rows : bool, optional Insert all valid rows of a request, even if invalid rows exist. ignore_unknown_values : bool, optional Accept rows that contain values that do not match the schema. template_suffix : str, optional Inserts the rows into an {table}{template_suffix}. If table {table}{template_suffix} doesn't exist, create from {table}. project_id: str, optional The project to upload to Returns ------- Union[bool, dict] bool indicating if insert succeeded or not, or response from BigQuery if swallow_results is set for False. """

        project_id = self._get_project_id(project_id)
        table_data = self.bigquery.tabledata()

        rows_data = []
        for row in rows:
            each_row = {}
            each_row["json"] = row
            if insert_id_key is not None:
                keys = insert_id_key.split('.')
                val = reduce(lambda d, key: d.get(key) if d else None, keys, row)
                if val is not None:
                    each_row["insertId"] = val
            rows_data.append(each_row)

        data = {
            "kind": "bigquery#tableDataInsertAllRequest",
            "rows": rows_data
        }

        if skip_invalid_rows is not None:
            data['skipInvalidRows'] = skip_invalid_rows

        if ignore_unknown_values is not None:
            data['ignoreUnknownValues'] = ignore_unknown_values

        if template_suffix is not None:
            data['templateSuffix'] = template_suffix

        try:            
            response = table_data.insertAll(
                projectId=project_id,
                datasetId=dataset,
                tableId=table,
                body=data
            ).execute(num_retries=self.num_retries)

            if response.get('insertErrors'):
                logger.error('BigQuery insert errors: %s' % response)
                if self.swallow_results:
                    return False
                else:
                    return response

            if self.swallow_results:
                return True
            else:
                return response

        except HttpError as e:
            logger.exception('Problem with BigQuery insertAll')
            if self.swallow_results:
                return False
            else:
                return {
                    'insertErrors': [{
                        'errors': [{
                            'reason': 'httperror',
                            'message': e
                        }]
                    }]
                }