Raw data files not included, they are large...

Process:

Generate initial spin files with generate_initial_i_placements.js - it will put outputs in /spin_files/
spin_to_fumen.js is designed to read in the html files and grab relevant fumens (non mini TSS).
It should generate a large text file step_a.txt with a relevant spin fumen on each line.
parity_filter.js is designed to read step_a.txt and filter for good parity and output to step_b.txt.
divider_check.js is designed to read step_b.txt and filter out 0% 6L fields via divider rule, and output to step_b_2.txt. This is a useful filter.
missing_pieces.js is designed to read step_b_2.txt and process the missing pieces, outputting to step_c.txt.
This uses the fumens' queue comments, and assumes the setup queue was *p7.
If the spin command was run with a different setup queue, you may want to adjust this function.
process_congruents.js reads the fumens from step_c.txt and processes congruents + mirror congruents, and outputs to step_c_2.txt
This uses a dictionary to track for duplicates. If the file is too large, there may be memory issues.
pc_chance_filter.js reads from step_c_2.txt and makes sfinder calls and filters for 98%+ fields.
This may take a long time to finish. If you want to do this in batches, you can adjust start position on line 52.
Given that the previous step may have been split up into batches, I've included a quick combine_d.js script to combine results into a single file. Edit fileList.
recursive_to_7p.js reads from real_d.txt (you may just name it d.txt for simplicity); it generates all 7ps out of the list (which may include 4-7p setups). Outputs to step_e.txt.
Apply filters again to these 7ps.
parity_filter_2.js filters, using checkerboard parity filter, down the 7p list from step_e.txt into step_f.txt.
divider_filter_2.js filters from step_f.txt into step_f_2.txt.
process_congruents_2.js reads from step_f_2.txt and processes congruents + mirror congruents into step_f_3.txt.
pc_chance_filter_2.js reads from step_f_3.txt and makes sfinder calls and filters for 98%+ fields.
This may take a long time to finish. If you want to do this in batches, you can adjust start position on line 46.
Again, I've included a quick combine_g.js script to combine results into a single file. Edit fileList.
next steps: run score on final set.
score.js reads the fields from real_g.txt and outputs the data with computed scores into step_h.txt
sort_score.js sorts step_h.txt by score, outputting the sorted file into step_h_sorted.txt
Decide what score cutoff you're comfortable with including.
generate_cover.js reads from step_h_sorted.txt and generates for you what you need to generate a properly formatted and named cover.csv for this data to go onto cover visualizer.
automate_score_minimals.js peruses the cover.csv file of SPC setups and generates score minimals for each field, as per the names given in row 2.
minimal_scoring_set.js peruses the cover.csv file of setups and generates a minimal score priority set and the average score of the set.

Dependencies

tetris-fumen, readline, htmlparser2

I think

swng/i_bruteforce_spc

Process:

Dependencies