move experimental scoring method to its own file

This commit is contained in:
Connor Olding 2023-05-07 06:44:01 -07:00
parent db5473da43
commit 34713232e3
3 changed files with 48 additions and 49 deletions

View file

@ -1,5 +1,6 @@
from .colors import *
from .prog80 import prog
from .scoring import *
from .utils import *
try:

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@ -0,0 +1,47 @@
def perform_another_experimental_scoring_method(results):
if len(results) and len(something := next(iter(results.values()))[0]) == 3:
history_length = len(something[2])
each = {}
# for i in (history_length - 1,):
for i in range(history_length):
# for k, v in results.items(): for vi in v: assert len(vi) == 3, vi
l = {k: [(res[2][i], res[1]) for res in v] for k, v in results.items()}
for k, v in perform_another_experimental_scoring_method(l).items():
each.setdefault(k, []).append(v)
return {k: sum(v) / len(v) for k, v in each.items()}
new_results = {}
all_opt_names = set()
for obj_name, obj_res in results.items():
all_res = {}
for fopt, opt_name in obj_res:
all_res.setdefault(fopt, []).append(opt_name)
all_opt_names.add(opt_name)
new_results[obj_name] = dict(sorted(all_res.items()))
limited_by_floating_point_precision = 53
best_ranks_and_counts = {}
for outer_rank in range(1, limited_by_floating_point_precision + 1):
for obj_name, all_res in new_results.items():
for fopt, opt_names in all_res.items():
dirty = False
for opt_name in set(opt_names):
if opt_name in best_ranks_and_counts:
rank, count = best_ranks_and_counts[opt_name]
if rank == outer_rank:
best_ranks_and_counts[opt_name] = (rank, count + 1)
dirty = True
else:
best_ranks_and_counts[opt_name] = (outer_rank, 1)
dirty = True
if dirty:
break
scores = {k: 0.0 for k in all_opt_names}
for opt_name, (rank, count) in best_ranks_and_counts.items():
points = 2 ** (1 - rank)
count = min(count, limited_by_floating_point_precision)
scores[opt_name] = score = sum(points / 2**i for i in range(count))
return scores

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@ -153,55 +153,6 @@ class AcquireForWriting:
# move(self._altpath, self.filepath) # assumes os.rename overwrites files
def perform_another_experimental_scoring_method(results):
if len(results) and len(something := next(iter(results.values()))[0]) == 3:
history_length = len(something[2])
each = {}
# for i in (history_length - 1,):
for i in range(history_length):
# for k, v in results.items(): for vi in v: assert len(vi) == 3, vi
l = {k: [(res[2][i], res[1]) for res in v] for k, v in results.items()}
for k, v in perform_another_experimental_scoring_method(l).items():
each.setdefault(k, []).append(v)
return {k: sum(v) / len(v) for k, v in each.items()}
new_results = {}
all_opt_names = set()
for obj_name, obj_res in results.items():
all_res = {}
for fopt, opt_name in obj_res:
all_res.setdefault(fopt, []).append(opt_name)
all_opt_names.add(opt_name)
new_results[obj_name] = dict(sorted(all_res.items()))
limited_by_floating_point_precision = 53
best_ranks_and_counts = {}
for outer_rank in range(1, limited_by_floating_point_precision + 1):
for obj_name, all_res in new_results.items():
for fopt, opt_names in all_res.items():
dirty = False
for opt_name in set(opt_names):
if opt_name in best_ranks_and_counts:
rank, count = best_ranks_and_counts[opt_name]
if rank == outer_rank:
best_ranks_and_counts[opt_name] = (rank, count + 1)
dirty = True
else:
best_ranks_and_counts[opt_name] = (outer_rank, 1)
dirty = True
if dirty:
break
scores = {k: 0.0 for k in all_opt_names}
for opt_name, (rank, count) in best_ranks_and_counts.items():
points = 2 ** (1 - rank)
count = min(count, limited_by_floating_point_precision)
scores[opt_name] = score = sum(points / 2**i for i in range(count))
return scores
def needs_rerun(key, value):
if value["duration"] < 0.0 or "history" not in value:
return True