Pipeline fails if archive enabled with s3 and tap table name is not in format <<schema_name>>__<<table>>

[lfpll]

When using s3 with archive like:
archive_load_files: true

With taps that generate streams with naming <<table>> instead of <<schema_name>>__<<table>> it will break on archiving into s3.
Example taps: tap-pend, tap-gitlab

This happens because in STREAM_UTILS_L97-L11, where the schema_name will be set to None if the name do not follow the pattern <schema_name>_<table>.

In UPLOAD_CLIENTS_L107 if the metadata has {"schema_name":None} that will throw an error on trying to convert to ascii.

To Reproduce

To reproduce use use in meltano.yaml

s3_bucket:          "your_bucket"
stage:                  '"your_stage'
archive_load_files: true

Use a tap like tap-gitlab or ta-pendo
Error: AttributeError: 'NoneType' object has no attribute 'encode'
From:

File "..../target_snowflake/upload_clients/s3_upload_client.py", line 111, in copy_object
target-snowflake | loader    |     Metadata=metadata, MetadataDirective="REPLACE")

Expected behavior
I want to be able to archive data into s3 when data is comming from taps that only send <<table_name>> on stream list instead of <<schema_name>>_<<table_name>>