Open siddharth-krishna opened 1 year ago
Thanks @siddharth-krishna. the TXT
variant should be handled differently. #84 focuses on it.
Probably the easiest way to test this is to modify an existing benchmarks. Should I do it?
We should also add TFM_INS-TSL
to the list. Here columns are timeslices.
Modifying one of the demos sounds good! Will be easier to debug :)
Ok, I've changed the fifth one...
TFM_INS-TS
:
- TS: is timeslice. Columns are years, should be melted into Year
No, I believe TS
stands for time series. That is why the columns are years in this case, because this format is meant for more convenient defining of time series parameters with many data points (years). Timeslice is in this format specified in the Timeslice column, as usual. Another place where TS stands for time series is the TS_Filter
column, which can be used in the TFM_INS variants, and refers to time series filtering.
Thanks @Antti-L. I've overlooked the typo. @siddharth-krishna please notice the difference between tfm_ins-ts
and tfm_ins-tsl
. We probably should add a test case for the latter...
These variants essentially allow specifying multiple attribute values in a row by un-melting a field (e.g. attribute, year) and allowing them to be column names.
BTW, I hope you are aware that ~FI_T
tables also allow using Years as value column headers, in addition to e.g. using Attributes as value column headers. I am using such flexible layouts all the time in my models, and I find it very convenient. I guess FI_T
in fact stands for "flexible input table", and the flexibility is indeed very nice.
Thanks @Antti-L. We should open a separate issue on ~FI_T
tables if they are not handled correctly.
These variants essentially allow specifying multiple attribute values in a row by un-melting a field (e.g. attribute, year) and allowing them to be column names. So to handle them, we find those columns, and melt it back into 2 columns: attribute & value (or year & value).
TFM_INS-TS
:Year
TFM_INS-AT
:Attribute
times-info.json
(everything with category =parameter
)TFM_INS-AT
in any of our benchmarks. What should we use to test this?TFM_INS-TXT
:@olejandro I'm afraid I'll miss the meeting today, my update is that I'm working on this feature, and need some guidance with the questions above. I've implemented
TFM_INS-TS
but now I'm fixing some regression bugs.