After a module or integration is ran, the created dataframe is returned to the handler. The handler doesn't care about this dataframe, but it does care about the length of the dataframe, displaying the length to the user as the quantity of discovered items.
Natural language processing has been added to an extent to search a user's contribution history on Reddit for possible hints as to their residency or visited locations.
For certain usernames on the new module, the displayed count may be off by one (above). This isn't for all usernames, but it is consistent on the ones impacted. If 5 rows are added to the collector's dataframe, the stdout may read 6.
After a module or integration is ran, the created dataframe is returned to the handler. The handler doesn't care about this dataframe, but it does care about the length of the dataframe, displaying the length to the user as the quantity of discovered items.
Natural language processing has been added to an extent to search a user's contribution history on Reddit for possible hints as to their residency or visited locations.
For certain usernames on the new module, the displayed count may be off by one (above). This isn't for all usernames, but it is consistent on the ones impacted. If 5 rows are added to the collector's dataframe, the stdout may read 6.