1 files changed, 0 insertions, 78 deletions
diff --git a/analysis/countermeasures/probmaps.py b/analysis/countermeasures/probmaps.py
deleted file mode 100644
index 0ad13a3..0000000
--- a/analysis/countermeasures/probmaps.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import sys
-import pickle
-import itertools
-import glob
-
-from pyecsca.misc.utils import TaskExecutor
-from tqdm.auto import tqdm
-
-from common import *
-
-
-def divides_any(l: int, small_scalars: set[int]) -> bool:
-    for s in small_scalars:
-        if s%l==0:
-            return True
-    return False
-
-
-def process_small_scalars(scalar_results: MultResults, divisors: set[int]) -> ProbMap:
-    result = {}
-    for divisor in divisors:
-        count = 0
-        for smult in scalar_results.multiplications:
-            if divides_any(divisor, smult):
-                count += 1
-        result[divisor] = count / scalar_results.samples
-    return ProbMap(result, scalar_results.samples, scalar_results.kind)
-
-
-def load_chunk(fname: str, divisors: set[int], kind: str) -> dict[MultIdent, ProbMap]:
-    with open(fname, "rb") as f:
-        multiples = {}
-        while True:
-            try:
-                mult, distr = pickle.load(f)
-                multiples[mult] = distr
-            except EOFError:
-                break
-        res = {}
-        for mult, results in multiples.items():
-            results.kind = kind
-            res[mult] = process_small_scalars(results, divisors)
-    return res
-
-
-if __name__ == "__main__":
-    distributions_mults = {}
-    bits = 256
-    num_workers = int(sys.argv[1]) if len(sys.argv) > 1 else 32
-    divisor_name = sys.argv[2] if len(sys.argv) > 2 else "all"
-    kind = sys.argv[3] if len(sys.argv) > 3 else "precomp+necessary"
-    use_init = (sys.argv[4].lower() == "true") if len(sys.argv) > 4 else True
-    use_multiply = (sys.argv[5].lower() == "true") if len(sys.argv) > 5 else True
-    files = sorted(glob.glob(f"multiples_{bits}_{kind}_{'init' if use_init else 'noinit'}_{'mult' if use_multiply else 'nomult'}_chunk*.pickle"))
-
-    selected_divisors = divisor_map[divisor_name]
-    
-    with TaskExecutor(max_workers=num_workers) as pool:
-        for fname in files:
-            pool.submit_task(fname,
-                             load_chunk,
-                             fname, selected_divisors, kind)
-        for fname, future in tqdm(pool.as_completed(), total=len(pool.tasks), smoothing=0):
-            if error := future.exception():
-                print(f"Error {fname}, {error}")
-                continue
-            new_distrs = future.result()
-            for mult, prob_map in new_distrs.items():
-                if mult in distributions_mults:
-                    distributions_mults[mult].merge(prob_map)
-                else:
-                    distributions_mults[mult] = prob_map
-    for mult, prob_map in distributions_mults.items():
-        print(f"Got {prob_map.samples} for {mult}.")
-
-    # Save
-    with open(f"{divisor_name}_{kind}_distrs.pickle", "wb") as f:
-        pickle.dump(distributions_mults, f)