From 42a28c1ab9c83a05f2bc43e8b62536ee02f31699 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Mon, 19 May 2025 13:51:13 +0300 Subject: [PATCH 01/23] Add strategic voting algorithms and tests Implemented algorithms for strategic voting decision-making, including single-voter and coalitional manipulation. Added unit tests to validate functionality. Initialized project settings and Git integration with configuration files. --- .idea/.gitignore | 8 + .../inspectionProfiles/profiles_settings.xml | 6 + .idea/modules.xml | 8 + .idea/pref_voting.iml | 15 ++ .idea/vcs.xml | 6 + .../strategic_voting_algorithms.py | 248 ++++++++++++++++++ strategic-voting/test_algorithms.py | 202 ++++++++++++++ 7 files changed, 493 insertions(+) create mode 100644 .idea/.gitignore create mode 100644 .idea/inspectionProfiles/profiles_settings.xml create mode 100644 .idea/modules.xml create mode 100644 .idea/pref_voting.iml create mode 100644 .idea/vcs.xml create mode 100644 strategic-voting/strategic_voting_algorithms.py create mode 100644 strategic-voting/test_algorithms.py diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 00000000..13566b81 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 00000000..105ce2da --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 00000000..0b0f3f15 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/pref_voting.iml b/.idea/pref_voting.iml new file mode 100644 index 00000000..a2a889b2 --- /dev/null +++ b/.idea/pref_voting.iml @@ -0,0 +1,15 @@ + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 00000000..35eb1ddf --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py new file mode 100644 index 00000000..18a4e037 --- /dev/null +++ b/strategic-voting/strategic_voting_algorithms.py @@ -0,0 +1,248 @@ +""" +Implementation of algorithms from: + "Strategic Voting in the Context of Negotiating Teams", + Leora Schmerler & Noam Hazon (2021) – https://arxiv.org/abs/2107.14097 + +Programmer: Elyasaf Kopel +Last revised: 18 May 2025 + +The module provides two functions: + + algorithm1_single_voter ─ C-MaNego (single manipulator) + algorithm2_coalitional ─ CC-MaNego (coalition of k manipulators) + +Both decide whether a preferred outcome `p` can be made the unique +sub-game perfect equilibrium (SPE) of a VAOV negotiation game. + +Changes compared with the paper +------------------------------- +* `check_validation` encapsulate the common “sanity checks.” +* `_rc_result` models the Rational-Compromise (Bucklin-style) outcome + and returns ``None`` whenever the first intersection is not singleton; + this is enough because a manipulator must guarantee *uniqueness*. + +""" + +from __future__ import annotations +import logging, math +from typing import Callable, List, Optional, Sequence, Set, Tuple + +# ───────────────────────────── logging ─────────────────────────────────── +_log = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") + +# ──────────────────── 0. built-in social-welfare rules ─────────────────── +def borda(profile: List[List[str]]) -> List[str]: + """ + Return a complete Borda ranking for string ballots. + >>> borda([["C", "A", "B"], ["B", "C", "A"], ["C", "A", "B"]]) + ['C', 'A', 'B'] + """ + if not profile: + return [] + m = len(profile[0]) + scores = {c: 0 for c in profile[0]} + for ballot in profile: + for pos, cand in enumerate(ballot): + scores[cand] += m - pos - 1 # m-1 … 0 points + return sorted(scores, key=lambda c: (-scores[c], c)) # tie-break lexicographically + + +def make_x_approval(x: int) -> Callable[[List[List[str]]], List[str]]: + """Factory: x-approval rule (Plurality is x=1).""" + if x <= 0: + raise ValueError("x must be a positive integer") + + def rule(profile: List[List[str]]) -> List[str]: + if not profile: + return [] + scores = {c: 0 for c in profile[0]} + for ballot in profile: + for cand in ballot[:x]: + scores[cand] += 1 + return sorted(scores, key=lambda c: (-scores[c], c)) + + rule.__name__ = f"x_approval_{x}" + return rule + +# ───────────────────── 1. shared helper utilities ──────────────────────── +def _pos(candidate: str, ranking: Sequence[str]) -> int: + """Paper position: higher ranked ⇒ larger value.""" + return len(ranking) - 1 - ranking.index(candidate) + +def _top_i(ranking: Sequence[str], i: int) -> List[str]: + return list(ranking)[:i] + +# ──────────────────── Rational-Compromise helper ──────────────────────── +def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: + """ + Rational-Compromise outcome for two parties. + + Prints a concise trace of the top-j intersections as it searches for the + first *singleton* intersection. Returns the winner (string) or None. + """ + m = len(pt) + for j in range(1, m + 1): + inter = set(_top_i(pt, j)) & set(_top_i(po, j)) + print(f"[RC] depth j={j:<2} intersection = {sorted(inter)}") + if inter: + return next(iter(inter)) if len(inter) == 1 else None + return None + +def _compute_Hi( + preferred: str, + i: int, + pt: Sequence[str], + opponent_order: Sequence[str], +) -> List[str]: + """ + Hᵢ = {preferred} ∪ (i-1 best in pt not in Aᵢ(po)), keeping pt order. + Aᵢ(po) = top-i candidates in po (opponent) order. + """ + Ai_po: Set[str] = set(_top_i(opponent_order, i)) # top-i in opponent order + H: List[str] = [preferred] # preferred is always in Hᵢ + + for c in pt: + if len(H) == i: + break + if c != preferred and c not in Ai_po: + H.append(c) + return H + +def check_validation(opp: List[str], preferred: str, m: int) -> bool: + if not opp: + return False + if _pos(preferred, opp) < math.ceil(m / 2): + _log.info("Preferred candidate ranked too low by opponent – impossible.") + return False + return True + +# ─────────────── Algorithm 1 – single-voter manipulation ──────────────── +def algorithm1_single_voter( + F: Callable[[List[List[str]]], List[str]], # social-welfare function + team_profile : List[List[str]], # honest team ballots + opponent_order: List[str], # opponent ranking + preferred : str, # preferred candidate +) -> Tuple[bool, Optional[List[str]]]: + """ + Figure 1 of the paper (C-MaNego) with clear, human-readable tracing. + """ + + m = len(opponent_order) + print("\n[Alg-1] =========================================================") + print(f"[Alg-1] opponent order : {opponent_order}") + print(f"[Alg-1] preferred : '{preferred}'") + print(f"[Alg-1] team profile ({len(team_profile)} voters): {team_profile}") + + # guard: pos(p, po) ≥ ⌈m/2⌉ → impossible + if not check_validation(opponent_order, preferred, m): + print("[Alg-1] ❌ guard failed – manipulation impossible") + return False, None + + # SWF order of the honest team + pt = F(team_profile) + print("[Alg-1] SWF order (pt) :", pt) + + # iterate i = 1 … ⌈m/2⌉ + for i in range(1, math.ceil(m / 2) + 1): + print(f"\n[Alg-1] ----- depth i = {i} -----") + + Hi = _compute_Hi(preferred, i, pt, opponent_order) + print(f"[Alg-1] H_i = {Hi} " + f"(size {len(Hi)} vs required {i})") + if len(Hi) < i: + print("[Alg-1] › not enough candidates – skip depth") + continue + + # build manipulator ballot: high block then low block (both reversed) + hi_block = list(reversed([c for c in pt if c in Hi])) + lo_block = list(reversed([c for c in pt if c not in Hi])) + pa = hi_block + lo_block + + print("[Alg-1] hi_block =", hi_block) + print("[Alg-1] lo_block =", lo_block) + print("[Alg-1] ballot (pa) =", pa) + + # test if ‘preferred’ becomes the unique RC winner + if _rc_result(F(team_profile + [pa]), opponent_order) == preferred: + print("[Alg-1] ✅ success – manipulation ballot found") + return True, pa + + print("[Alg-1] ✘ depth failed – trying next i") + + print("[Alg-1] ❌ no successful manipulation found") + return False, None + + + +# ───────── Algorithm 2 – coalition of k manipulators (CC-MaNego) ───────── +def algorithm2_coalitional( + F: Callable[[List[List[str]]], List[str]], + team_profile : List[List[str]], + opponent_order: List[str], + preferred : str, + k : int, +) -> Tuple[bool, Optional[List[List[str]]]]: + """ + Decide whether a coalition of size *k* can make `preferred` the unique + Rational-Compromise (Bucklin) winner against `opponent_order`. + """ + + # ── 0 guards ───────────────────────────────────────────────────────── + if k <= 0: + print("[Alg-2] 0 manipulators ⇒ impossible") + return False, None + + m = len(opponent_order) + if not check_validation(opponent_order, preferred, m): + print("[Alg-2] opponent ranks ‘p’ too high ⇒ impossible") + return False, None + + # ── SWF order of the honest team ─────────────────────────────────── + pt = F(team_profile) + print("\n[Alg-2] =========================================================") + print("[Alg-2] SWF order before coalition:", pt) + + # ── iterate depths i = 1 … ⌈m/2⌉ ────────────────────────────────── + for i in range(1, math.ceil(m / 2) + 1): + print(f"\n[Alg-2] ===== depth i = {i} =====") + + Hi = _compute_Hi(preferred, i, pt, opponent_order) + print(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") + if len(Hi) < i: + print("[Alg-2] › not enough candidates – skip depth") + continue + + pm: List[List[str]] = [] + + # ── construct ballots l = 1 … k with the *same* Hᵢ ──────────── + for l in range(1, k + 1): + cur_pt = F(team_profile + pm) + print(f" -- manipulator #{l} sees SWF:", cur_pt) + + # top block (Hᵢ) – place the least-preferred first (rev order) + hi_block = list(reversed([c for c in cur_pt if c in Hi])) + + # bottom block (O\Hᵢ) – place the most-preferred first + lo_block = list(reversed([c for c in cur_pt if c not in Hi])) + + pa = hi_block + lo_block + pm.append(pa) + + print(" ballot =", pa) + print(" hi_block =", hi_block) + print(" lo_block =", lo_block) + + # ── 4 evaluate RC after the whole coalition is in ─────────────── + rc_outcome = _rc_result(F(team_profile + pm), opponent_order) + print("[Alg-2] RC outcome with coalition =", rc_outcome) + + if rc_outcome == preferred: + print("[Alg-2] ✅ success – coalition found") + return True, pm + + print("[Alg-2] ✘ depth failed – trying next i") + + # ── 5 no depth succeeded ──────────────────────────────────────────── + print("\n[Alg-2] ❌ no successful coalition manipulation found") + return False, None \ No newline at end of file diff --git a/strategic-voting/test_algorithms.py b/strategic-voting/test_algorithms.py new file mode 100644 index 00000000..3122d287 --- /dev/null +++ b/strategic-voting/test_algorithms.py @@ -0,0 +1,202 @@ +""" +Pytest unit tests for the Strategic-Voting algorithms. + +The suite is split into two sections: +1. Algorithm 1 – single-voter manipulation. +2. Algorithm 2 – coalitional manipulation. + +Tests that rely on functionality not yet implemented are marked +with @pytest.mark.xfail. +""" +from __future__ import annotations + +import math +import random + +import pytest +#from pref_voting.scoring_methods import borda +from strategic_voting_algorithms import ( + algorithm1_single_voter, + algorithm2_coalitional, + borda, + make_x_approval, +) + +# --------------------------------------------------------------------- +# Shared constants – paper’s “4 honest + 1 manipulator” example +TEAM_PROFILE_EXAMPLE = [ + ["p", "c", "a", "b"], # p>c>a>b + ["p", "b", "a", "c"], # p>b>a>c + ["b", "p", "a", "c"], # b>p>a>c + ["b", "a", "c", "p"], # b>a>c>p +] +OPPONENT_ORDER_EXAMPLE = ["b", "p", "a", "c"] # b>p>a>c +# --------------------------------------------------------------------- +# Algorithm 1 +# --------------------------------------------------------------------- + + +def test_alg1_borda_example(): + """Single-voter manipulation in the paper’s running example.""" + ok, vote = algorithm1_single_voter( + borda, TEAM_PROFILE_EXAMPLE, OPPONENT_ORDER_EXAMPLE, preferred="p" + ) + assert ok + assert vote == ["a", "p", "c", "b"] + + +def test_alg1_empty_input(): + ok, vote = algorithm1_single_voter(borda, [], [], "p") + assert not ok and vote is None + + +def test_alg1_threshold_guard(): + """pos(p) < ⌈m/2⌉ ⇒ manipulation impossible.""" + team_profile = [["b", "a", "p"]] # m = 3 + opponent_order = ["b", "a", "p"] # pos(p)=0 < ⌈3/2⌉=2 + ok, vote = algorithm1_single_voter(borda, team_profile, opponent_order, "p") + assert not ok and vote is None + + +def test_alg1_simple_case(): + """Paper’s 5-candidate example (4 honest + 1 manipulator).""" + ok, vote = algorithm1_single_voter( + borda, TEAM_PROFILE_EXAMPLE, OPPONENT_ORDER_EXAMPLE, "p" + ) + assert ok + assert vote == ["a", "p", "c", "b"] + + +def test_alg1_random_threshold_guard(): + """Randomized guard: pos(p) < ⌈m/2⌉ must fail.""" + for _ in range(20): + m = random.randint(3, 10) + candidates = [chr(ord("a") + i) for i in range(m)] + preferred = random.choice(candidates) + + pos = random.randint(math.ceil(m / 2), m - 1) + others = [c for c in candidates if c != preferred] + random.shuffle(others) + opponent_order = others.copy() + opponent_order.insert(pos, preferred) + + team_profile = [ + random.sample(candidates, k=m) for __ in range(random.randint(0, 5)) + ] + ok, _ = algorithm1_single_voter(borda, team_profile, opponent_order, preferred) + assert not ok + + +def test_alg1_random_output_shape(): + """If algorithm 1 succeeds, its ballot must be a permutation.""" + for _ in range(20): + m = random.randint(3, 8) + candidates = [chr(ord("a") + i) for i in range(m)] + preferred = random.choice(candidates) + opponent_order = random.sample(candidates, k=m) + team_profile = [ + random.sample(candidates, k=m) for __ in range(random.randint(0, 4)) + ] + + ok, vote = algorithm1_single_voter(borda, team_profile, opponent_order, preferred) + if ok: + assert sorted(vote) == sorted(candidates) + + +# --------------------------------------------------------------------- +# Algorithm 2 +# --------------------------------------------------------------------- + +def test_alg2_zero_manipulators(): + ok, prof = algorithm2_coalitional(borda, [], [], "p", k=0) + assert not ok and prof is None + + +def test_alg2_threshold_guard(): + team_profile: list[list[str]] = [] + opponent_order = ["a", "b", "c", "p"] + ok, votes = algorithm2_coalitional(borda, team_profile, opponent_order, "p", k=2) + assert not ok and votes is None + + +def test_alg2_simple_case_1(): + """CC-MaNego example with k=2 manipulators.""" + team_profile = [ + ["p", "d", "a", "b", "c", "e"], + ["a", "p", "b", "c", "d", "e"], + ["b", "c", "a", "p", "d", "e"], + ] + opponent_order = ["a", "p", "b", "c", "d", "e"] + ok, votes = algorithm2_coalitional(make_x_approval(2), team_profile, opponent_order, "p", k=2) + assert ok + assert votes == [["p", "e", "d", "c", "b", "a"], ["p", "e", "d", "c", "b", "a"]] + + +def test_alg2_simple_case_2(): + """X-approval (X=1) example with k=2 manipulators.""" + team_profile = [ + ["a", "p", "b", "c"], + ["b", "a", "c", "p"], + ] + opponent_order = ["p", "c", "b", "a"] + ok, votes = algorithm2_coalitional(make_x_approval(1), team_profile, opponent_order, "p", k=2) + assert ok + assert votes == [["p", "c", "b", "a"], ["p", "c", "b", "a"]] + + +def test_alg2_random_threshold_guard(): + for _ in range(20): + m = random.randint(3, 10) + candidates = [chr(ord("a") + i) for i in range(m)] + preferred = random.choice(candidates) + + pos = random.randint(math.ceil(m / 2), m - 1) + others = [c for c in candidates if c != preferred] + random.shuffle(others) + opponent_order = others.copy() + opponent_order.insert(pos, preferred) + + k = random.randint(1, min(4, len(candidates))) + team_profile = [ + random.sample(candidates, k=m) for __ in range(random.randint(0, 5)) + ] + + ok, votes = algorithm2_coalitional( + borda, team_profile, opponent_order, preferred, k + ) + assert not ok and votes is None + + +def test_alg2_random_output_shape(): + for _ in range(20): + m = random.randint(3, 7) + candidates = [chr(ord("A") + i) for i in range(m)] + preferred = random.choice(candidates) + opponent_order = random.sample(candidates, k=m) + k = random.randint(1, 3) + team_profile = [ + random.sample(candidates, k=m) for __ in range(random.randint(0, 4)) + ] + + ok, votes = algorithm2_coalitional( + borda, team_profile, opponent_order, preferred, k + ) + if ok: + assert isinstance(votes, list) and len(votes) == k + for v in votes: + assert sorted(v) == sorted(candidates) + + +def test_alg2_all_top_preferred(): + m = random.randint(3, 8) + others = list("abcdefgh")[: m - 1] + + team_profile = [ + ["p"] + random.sample(others, k=len(others)) + for _ in range(random.randint(1, 5)) + ] + opponent_order = ["p"] + random.sample(others, k=len(others)) + k = random.randint(2, 3) + ok, votes = algorithm2_coalitional(borda, team_profile, opponent_order, "p", k) + assert ok + assert votes is not None From 20873513199071a812c2b78702891ebf96c0e237 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Mon, 19 May 2025 13:54:35 +0300 Subject: [PATCH 02/23] Add IDE configuration file for project settings This commit introduces a new `.idea/misc.xml` file to the repository. It specifies project settings, including the use of Python 3.12 as the SDK. This helps ensure consistent development environment configurations. --- .idea/misc.xml | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 .idea/misc.xml diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 00000000..060d2c5e --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file From 3d8fb1fad3053631f8fc4ae63a9dd4867d07518a Mon Sep 17 00:00:00 2001 From: elyasafko Date: Mon, 19 May 2025 14:04:08 +0300 Subject: [PATCH 03/23] "Refactor logging and clean up algorithm tracing output Replaced print statements with logging for better traceability and debugging. Adjusted log levels for message clarity and transitioned to outputting warnings for critical checks. Removed outdated comments and redundant documentation for improved code readability." --- .../strategic_voting_algorithms.py | 102 +++++++----------- 1 file changed, 36 insertions(+), 66 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 18a4e037..f7faf203 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -1,35 +1,10 @@ -""" -Implementation of algorithms from: - "Strategic Voting in the Context of Negotiating Teams", - Leora Schmerler & Noam Hazon (2021) – https://arxiv.org/abs/2107.14097 - -Programmer: Elyasaf Kopel -Last revised: 18 May 2025 - -The module provides two functions: - - algorithm1_single_voter ─ C-MaNego (single manipulator) - algorithm2_coalitional ─ CC-MaNego (coalition of k manipulators) - -Both decide whether a preferred outcome `p` can be made the unique -sub-game perfect equilibrium (SPE) of a VAOV negotiation game. - -Changes compared with the paper -------------------------------- -* `check_validation` encapsulate the common “sanity checks.” -* `_rc_result` models the Rational-Compromise (Bucklin-style) outcome - and returns ``None`` whenever the first intersection is not singleton; - this is enough because a manipulator must guarantee *uniqueness*. - -""" - from __future__ import annotations import logging, math from typing import Callable, List, Optional, Sequence, Set, Tuple # ───────────────────────────── logging ─────────────────────────────────── _log = logging.getLogger(__name__) -logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") +logging.basicConfig(level=logging.DEBUG, format="%(levelname)s: %(message)s") # ──────────────────── 0. built-in social-welfare rules ─────────────────── def borda(profile: List[List[str]]) -> List[str]: @@ -84,7 +59,7 @@ def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: m = len(pt) for j in range(1, m + 1): inter = set(_top_i(pt, j)) & set(_top_i(po, j)) - print(f"[RC] depth j={j:<2} intersection = {sorted(inter)}") + _log.debug(f"[RC] depth j={j:<2} intersection = {sorted(inter)}") if inter: return next(iter(inter)) if len(inter) == 1 else None return None @@ -113,7 +88,7 @@ def check_validation(opp: List[str], preferred: str, m: int) -> bool: if not opp: return False if _pos(preferred, opp) < math.ceil(m / 2): - _log.info("Preferred candidate ranked too low by opponent – impossible.") + _log.warning("Preferred candidate ranked too low by opponent – manipulation impossible.") return False return True @@ -125,33 +100,30 @@ def algorithm1_single_voter( preferred : str, # preferred candidate ) -> Tuple[bool, Optional[List[str]]]: """ - Figure 1 of the paper (C-MaNego) with clear, human-readable tracing. + Single-voter manipulation (C-MaNego) with logging for trace. """ + _log.info("\n[Alg-1] =========================================================") + _log.info(f"[Alg-1] opponent order : {opponent_order}") + _log.info(f"[Alg-1] preferred : '{preferred}'") + _log.info(f"[Alg-1] team profile ({len(team_profile)} voters): {team_profile}") m = len(opponent_order) - print("\n[Alg-1] =========================================================") - print(f"[Alg-1] opponent order : {opponent_order}") - print(f"[Alg-1] preferred : '{preferred}'") - print(f"[Alg-1] team profile ({len(team_profile)} voters): {team_profile}") - - # guard: pos(p, po) ≥ ⌈m/2⌉ → impossible if not check_validation(opponent_order, preferred, m): - print("[Alg-1] ❌ guard failed – manipulation impossible") + _log.warning("[Alg-1] guard failed – manipulation impossible") return False, None # SWF order of the honest team pt = F(team_profile) - print("[Alg-1] SWF order (pt) :", pt) + _log.info(f"[Alg-1] SWF order (pt) : {pt}") # iterate i = 1 … ⌈m/2⌉ for i in range(1, math.ceil(m / 2) + 1): - print(f"\n[Alg-1] ----- depth i = {i} -----") + _log.info(f"\n[Alg-1] ----- depth i = {i} -----") Hi = _compute_Hi(preferred, i, pt, opponent_order) - print(f"[Alg-1] H_i = {Hi} " - f"(size {len(Hi)} vs required {i})") + _log.info(f"[Alg-1] H_i = {Hi} (size {len(Hi)} vs required {i})") if len(Hi) < i: - print("[Alg-1] › not enough candidates – skip depth") + _log.info("[Alg-1] › not enough candidates – skip depth") continue # build manipulator ballot: high block then low block (both reversed) @@ -159,22 +131,21 @@ def algorithm1_single_voter( lo_block = list(reversed([c for c in pt if c not in Hi])) pa = hi_block + lo_block - print("[Alg-1] hi_block =", hi_block) - print("[Alg-1] lo_block =", lo_block) - print("[Alg-1] ballot (pa) =", pa) + _log.info(f"[Alg-1] hi_block = {hi_block}") + _log.info(f"[Alg-1] lo_block = {lo_block}") + _log.info(f"[Alg-1] ballot (pa) = {pa}") # test if ‘preferred’ becomes the unique RC winner - if _rc_result(F(team_profile + [pa]), opponent_order) == preferred: - print("[Alg-1] ✅ success – manipulation ballot found") + rc = _rc_result(F(team_profile + [pa]), opponent_order) + if rc == preferred: + _log.info("[Alg-1] ✅ success – manipulation ballot found") return True, pa - print("[Alg-1] ✘ depth failed – trying next i") + _log.info("[Alg-1] ✘ depth failed – trying next i") - print("[Alg-1] ❌ no successful manipulation found") + _log.info("[Alg-1] ❌ no successful manipulation found") return False, None - - # ───────── Algorithm 2 – coalition of k manipulators (CC-MaNego) ───────── def algorithm2_coalitional( F: Callable[[List[List[str]]], List[str]], @@ -190,27 +161,27 @@ def algorithm2_coalitional( # ── 0 guards ───────────────────────────────────────────────────────── if k <= 0: - print("[Alg-2] 0 manipulators ⇒ impossible") + _log.warning("[Alg-2] 0 manipulators ⇒ impossible") return False, None m = len(opponent_order) if not check_validation(opponent_order, preferred, m): - print("[Alg-2] opponent ranks ‘p’ too high ⇒ impossible") + _log.warning("[Alg-2] opponent ranks 'p' too low ⇒ manipulation impossible") return False, None # ── SWF order of the honest team ─────────────────────────────────── pt = F(team_profile) - print("\n[Alg-2] =========================================================") - print("[Alg-2] SWF order before coalition:", pt) + _log.info("\n[Alg-2] =========================================================") + _log.info(f"[Alg-2] SWF order before coalition: {pt}") # ── iterate depths i = 1 … ⌈m/2⌉ ────────────────────────────────── for i in range(1, math.ceil(m / 2) + 1): - print(f"\n[Alg-2] ===== depth i = {i} =====") + _log.info(f"\n[Alg-2] ===== depth i = {i} =====") Hi = _compute_Hi(preferred, i, pt, opponent_order) - print(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") + _log.info(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") if len(Hi) < i: - print("[Alg-2] › not enough candidates – skip depth") + _log.info("[Alg-2] › not enough candidates – skip depth") continue pm: List[List[str]] = [] @@ -218,7 +189,7 @@ def algorithm2_coalitional( # ── construct ballots l = 1 … k with the *same* Hᵢ ──────────── for l in range(1, k + 1): cur_pt = F(team_profile + pm) - print(f" -- manipulator #{l} sees SWF:", cur_pt) + _log.info(f"[Alg-2] manipulator #{l} sees SWF: {cur_pt}") # top block (Hᵢ) – place the least-preferred first (rev order) hi_block = list(reversed([c for c in cur_pt if c in Hi])) @@ -229,20 +200,19 @@ def algorithm2_coalitional( pa = hi_block + lo_block pm.append(pa) - print(" ballot =", pa) - print(" hi_block =", hi_block) - print(" lo_block =", lo_block) + _log.info(f"[Alg-2] ballot = {pa}") + _log.info(f"[Alg-2] hi_block = {hi_block}") + _log.info(f"[Alg-2] lo_block = {lo_block}") # ── 4 evaluate RC after the whole coalition is in ─────────────── rc_outcome = _rc_result(F(team_profile + pm), opponent_order) - print("[Alg-2] RC outcome with coalition =", rc_outcome) + _log.debug(f"[Alg-2] RC outcome with coalition = {rc_outcome}") if rc_outcome == preferred: - print("[Alg-2] ✅ success – coalition found") + _log.info("[Alg-2] ✅ success – coalition found") return True, pm - print("[Alg-2] ✘ depth failed – trying next i") + _log.info("[Alg-2] ✘ depth failed – trying next i") - # ── 5 no depth succeeded ──────────────────────────────────────────── - print("\n[Alg-2] ❌ no successful coalition manipulation found") + _log.info("\n[Alg-2] ❌ no successful coalition manipulation found") return False, None \ No newline at end of file From 6e89e82d8bc7778863ff39b0b79d14c9600434a0 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Mon, 19 May 2025 14:08:37 +0300 Subject: [PATCH 04/23] Add docstring examples for helper functions and validations Enhanced existing docstrings with examples to clarify usage and behavior of functions like `_pos`, `_top_i`, `_compute_Hi`, and `check_validation`. This improvement aids in understanding and testing the code more effectively. --- .../strategic_voting_algorithms.py | 30 +++++++++++++++++-- 1 file changed, 28 insertions(+), 2 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index f7faf203..b598bd56 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -24,7 +24,12 @@ def borda(profile: List[List[str]]) -> List[str]: def make_x_approval(x: int) -> Callable[[List[List[str]]], List[str]]: - """Factory: x-approval rule (Plurality is x=1).""" + """ + Factory: x-approval rule (Plurality is x=1). + >>> x_approval = make_x_approval(2) + >>> x_approval([["C", "A", "B"], ["B", "C", "A"], ["C", "A", "B"]]) + ['C', 'A', 'B'] + """ if x <= 0: raise ValueError("x must be a positive integer") @@ -42,10 +47,19 @@ def rule(profile: List[List[str]]) -> List[str]: # ───────────────────── 1. shared helper utilities ──────────────────────── def _pos(candidate: str, ranking: Sequence[str]) -> int: - """Paper position: higher ranked ⇒ larger value.""" + """ + Paper position: higher ranked ⇒ larger value. + >>> _pos("A", ["C", "B", "A"]) + 0 + """ return len(ranking) - 1 - ranking.index(candidate) def _top_i(ranking: Sequence[str], i: int) -> List[str]: + """ + Return the top-i candidates in the given ranking. + >>> _top_i(["C", "B", "A"], 2) + ['C', 'B'] + """ return list(ranking)[:i] # ──────────────────── Rational-Compromise helper ──────────────────────── @@ -55,6 +69,8 @@ def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: Prints a concise trace of the top-j intersections as it searches for the first *singleton* intersection. Returns the winner (string) or None. + >>> _rc_result(["C", "A", "B"], ["B", "C", "A"]) + 'C' """ m = len(pt) for j in range(1, m + 1): @@ -73,6 +89,8 @@ def _compute_Hi( """ Hᵢ = {preferred} ∪ (i-1 best in pt not in Aᵢ(po)), keeping pt order. Aᵢ(po) = top-i candidates in po (opponent) order. + >>> _compute_Hi("A", 2, ["C", "A", "B"], ["B", "C", "A"]) + ['A'] """ Ai_po: Set[str] = set(_top_i(opponent_order, i)) # top-i in opponent order H: List[str] = [preferred] # preferred is always in Hᵢ @@ -85,6 +103,14 @@ def _compute_Hi( return H def check_validation(opp: List[str], preferred: str, m: int) -> bool: + """ + Check if the opponent ranks the preferred candidate high enough. + If not, manipulation is impossible. + >>> check_validation(["A", "B", "C"], "A", 3) + True + >>> check_validation(["C", "B", "A"], "A", 2) + False + """ if not opp: return False if _pos(preferred, opp) < math.ceil(m / 2): From 2b69caca4eb5aa3ae263f045d214ab36cedac725 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Mon, 19 May 2025 14:09:40 +0300 Subject: [PATCH 05/23] Add algorithm details and configure Python 3.12 SDK Added a detailed module docstring describing strategic voting algorithms based on recent research. Updated project configuration to use Python 3.12 SDK, ensuring compatibility and standardization. --- .idea/misc.xml | 3 +++ .../strategic_voting_algorithms.py | 24 +++++++++++++++++++ 2 files changed, 27 insertions(+) diff --git a/.idea/misc.xml b/.idea/misc.xml index 060d2c5e..db8786c0 100644 --- a/.idea/misc.xml +++ b/.idea/misc.xml @@ -1,4 +1,7 @@ + + \ No newline at end of file diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index b598bd56..0fe23dcf 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -1,3 +1,27 @@ +""" +Implementation of algorithms from: + "Strategic Voting in the Context of Negotiating Teams", + Leora Schmerler & Noam Hazon (2021) – https://arxiv.org/abs/2107.14097 + +Programmer: Elyasaf Kopel +Last revised: 18 May 2025 + +The module provides two functions: + + algorithm1_single_voter ─ C-MaNego (single manipulator) + algorithm2_coalitional ─ CC-MaNego (coalition of k manipulators) + +Both decide whether a preferred outcome `p` can be made the unique +sub-game perfect equilibrium (SPE) of a VAOV negotiation game. + +Changes compared with the paper +------------------------------- +* `check_validation` encapsulate the common “sanity checks.” +* `_rc_result` models the Rational-Compromise (Bucklin-style) outcome + and returns ``None`` whenever the first intersection is not singleton; + this is enough because a manipulator must guarantee *uniqueness*. + +""" from __future__ import annotations import logging, math from typing import Callable, List, Optional, Sequence, Set, Tuple From df9de064329f6bf405b892d7a640b8d6cb857047 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Fri, 6 Jun 2025 01:00:08 +0300 Subject: [PATCH 06/23] added tests to the algo --- strategic-voting/strategic_voting_algorithms.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 0fe23dcf..0d3739cd 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -151,6 +151,8 @@ def algorithm1_single_voter( ) -> Tuple[bool, Optional[List[str]]]: """ Single-voter manipulation (C-MaNego) with logging for trace. + >>> algorithm1_single_voter(borda,[["b", "a", "p"]], ["b", "a", "p"], "p") + (False, None) """ _log.info("\n[Alg-1] =========================================================") _log.info(f"[Alg-1] opponent order : {opponent_order}") @@ -207,6 +209,8 @@ def algorithm2_coalitional( """ Decide whether a coalition of size *k* can make `preferred` the unique Rational-Compromise (Bucklin) winner against `opponent_order`. + >>> algorithm2_coalitional(borda, [], ["a", "b", "c", "p"], "p", k=2) + (False, None) """ # ── 0 guards ───────────────────────────────────────────────────────── From dd52178f3470cf8fd83d9cf700a2cd39afdf2856 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Fri, 6 Jun 2025 01:52:55 +0300 Subject: [PATCH 07/23] more logs added --- .../strategic_voting_algorithms.py | 137 +++++++++++++----- 1 file changed, 98 insertions(+), 39 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 0d3739cd..623f58d1 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -27,9 +27,31 @@ from typing import Callable, List, Optional, Sequence, Set, Tuple # ───────────────────────────── logging ─────────────────────────────────── -_log = logging.getLogger(__name__) +# 4 types of logging: +# 1. INFO – high-level algorithm steps. +# 2. DEBUG – detailed steps. +# 3. WARNING – guards. +# 4. ERROR – unexpected errors. + +logger = logging.getLogger(__name__) +logger.setLevel(logging.DEBUG) + +# Configure the default formatting logging.basicConfig(level=logging.DEBUG, format="%(levelname)s: %(message)s") +# Create and configure a console handler +console = logging.StreamHandler() +console.setLevel(logging.DEBUG) + +# Define a more detailed formatter for console output +formatter = logging.Formatter( + "%(asctime)s: %(levelname)s: %(name)s: Line %(lineno)s: %(message)s" +) +console.setFormatter(formatter) + +# Attach the console handler to our module‐level logger +logger.addHandler(console) + # ──────────────────── 0. built-in social-welfare rules ─────────────────── def borda(profile: List[List[str]]) -> List[str]: """ @@ -38,6 +60,7 @@ def borda(profile: List[List[str]]) -> List[str]: ['C', 'A', 'B'] """ if not profile: + logger.warning("Empty profile in Borda count") return [] m = len(profile[0]) scores = {c: 0 for c in profile[0]} @@ -55,10 +78,12 @@ def make_x_approval(x: int) -> Callable[[List[List[str]]], List[str]]: ['C', 'A', 'B'] """ if x <= 0: + logger.error("x must be a positive integer") raise ValueError("x must be a positive integer") def rule(profile: List[List[str]]) -> List[str]: if not profile: + logger.warning("Empty profile in x-approval count") return [] scores = {c: 0 for c in profile[0]} for ballot in profile: @@ -76,7 +101,11 @@ def _pos(candidate: str, ranking: Sequence[str]) -> int: >>> _pos("A", ["C", "B", "A"]) 0 """ - return len(ranking) - 1 - ranking.index(candidate) + idx = ranking.index(candidate) + result = len(ranking) - 1 - idx + + logger.debug(f"[_pos] candidate='{candidate}', index_in_ranking={idx}, returned_position={result}") + return result def _top_i(ranking: Sequence[str], i: int) -> List[str]: """ @@ -99,9 +128,18 @@ def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: m = len(pt) for j in range(1, m + 1): inter = set(_top_i(pt, j)) & set(_top_i(po, j)) - _log.debug(f"[RC] depth j={j:<2} intersection = {sorted(inter)}") + logger.debug(f"[RC] depth j={j}, pt_top={_top_i(pt, j)}, po_top={_top_i(po, j)}, intersection={sorted(inter)}") + if inter: - return next(iter(inter)) if len(inter) == 1 else None + if len(inter) == 1: + winner = next(iter(inter)) + logger.info(f"[RC] singleton intersection at j={j} ⇒ returning '{winner}'") + return winner + else: + logger.info(f"[RC] intersection at j={j} is not singleton ({len(inter)} items) ⇒ returning None") + return None + + logger.debug("[RC] no intersection found at any depth ⇒ returning None") return None def _compute_Hi( @@ -116,14 +154,21 @@ def _compute_Hi( >>> _compute_Hi("A", 2, ["C", "A", "B"], ["B", "C", "A"]) ['A'] """ - Ai_po: Set[str] = set(_top_i(opponent_order, i)) # top-i in opponent order - H: List[str] = [preferred] # preferred is always in Hᵢ + Ai_po: Set[str] = set(_top_i(opponent_order, i)) + logger.debug(f"[_compute_Hi] i={i}, opponent_top_i={sorted(Ai_po)}") + + H: List[str] = [preferred] + logger.debug(f"[_compute_Hi] initially H = {H}") for c in pt: if len(H) == i: break + if c != preferred and c not in Ai_po: H.append(c) + logger.debug(f"[_compute_Hi] adding '{c}' to H (size now {len(H)})") + + logger.debug(f"[_compute_Hi] final H_i = {H} for preferred='{preferred}' and i={i}") return H def check_validation(opp: List[str], preferred: str, m: int) -> bool: @@ -136,10 +181,20 @@ def check_validation(opp: List[str], preferred: str, m: int) -> bool: False """ if not opp: + logger.debug("[check_validation] opponent profile is empty ⇒ returning False") return False - if _pos(preferred, opp) < math.ceil(m / 2): - _log.warning("Preferred candidate ranked too low by opponent – manipulation impossible.") + + # Compute the paper‐style “position” (higher ⇒ better for the opponent) + pos_val = _pos(preferred, opp) + threshold = math.ceil(m / 2) + + logger.debug(f"[check_validation] preferred='{preferred}', " + f"pos_val={pos_val}, threshold={threshold}, m={m}") + + if pos_val < threshold: + logger.warning("Preferred candidate ranked too low by opponent – manipulation impossible.") return False + return True # ─────────────── Algorithm 1 – single-voter manipulation ──────────────── @@ -154,28 +209,28 @@ def algorithm1_single_voter( >>> algorithm1_single_voter(borda,[["b", "a", "p"]], ["b", "a", "p"], "p") (False, None) """ - _log.info("\n[Alg-1] =========================================================") - _log.info(f"[Alg-1] opponent order : {opponent_order}") - _log.info(f"[Alg-1] preferred : '{preferred}'") - _log.info(f"[Alg-1] team profile ({len(team_profile)} voters): {team_profile}") + logger.info("\n[Alg-1] =========================================================") + logger.info(f"[Alg-1] opponent order : {opponent_order}") + logger.info(f"[Alg-1] preferred : '{preferred}'") + logger.info(f"[Alg-1] team profile ({len(team_profile)} voters): {team_profile}") m = len(opponent_order) if not check_validation(opponent_order, preferred, m): - _log.warning("[Alg-1] guard failed – manipulation impossible") + logger.warning("[Alg-1] guard failed – manipulation impossible") return False, None # SWF order of the honest team pt = F(team_profile) - _log.info(f"[Alg-1] SWF order (pt) : {pt}") + logger.info(f"[Alg-1] SWF order (pt) : {pt}") # iterate i = 1 … ⌈m/2⌉ for i in range(1, math.ceil(m / 2) + 1): - _log.info(f"\n[Alg-1] ----- depth i = {i} -----") + logger.info(f"\n[Alg-1] ----- depth i = {i} -----") Hi = _compute_Hi(preferred, i, pt, opponent_order) - _log.info(f"[Alg-1] H_i = {Hi} (size {len(Hi)} vs required {i})") + logger.info(f"[Alg-1] H_i = {Hi} (size {len(Hi)} vs required {i})") if len(Hi) < i: - _log.info("[Alg-1] › not enough candidates – skip depth") + logger.info("[Alg-1] › not enough candidates – skip depth") continue # build manipulator ballot: high block then low block (both reversed) @@ -183,19 +238,19 @@ def algorithm1_single_voter( lo_block = list(reversed([c for c in pt if c not in Hi])) pa = hi_block + lo_block - _log.info(f"[Alg-1] hi_block = {hi_block}") - _log.info(f"[Alg-1] lo_block = {lo_block}") - _log.info(f"[Alg-1] ballot (pa) = {pa}") + logger.info(f"[Alg-1] hi_block = {hi_block}") + logger.info(f"[Alg-1] lo_block = {lo_block}") + logger.info(f"[Alg-1] ballot (pa) = {pa}") # test if ‘preferred’ becomes the unique RC winner rc = _rc_result(F(team_profile + [pa]), opponent_order) if rc == preferred: - _log.info("[Alg-1] ✅ success – manipulation ballot found") + logger.info("[Alg-1] ✅ success – manipulation ballot found") return True, pa - _log.info("[Alg-1] ✘ depth failed – trying next i") + logger.info("[Alg-1] ✘ depth failed – trying next i") - _log.info("[Alg-1] ❌ no successful manipulation found") + logger.info("[Alg-1] ❌ no successful manipulation found") return False, None # ───────── Algorithm 2 – coalition of k manipulators (CC-MaNego) ───────── @@ -215,27 +270,27 @@ def algorithm2_coalitional( # ── 0 guards ───────────────────────────────────────────────────────── if k <= 0: - _log.warning("[Alg-2] 0 manipulators ⇒ impossible") + logger.warning("[Alg-2] 0 manipulators ⇒ impossible") return False, None m = len(opponent_order) if not check_validation(opponent_order, preferred, m): - _log.warning("[Alg-2] opponent ranks 'p' too low ⇒ manipulation impossible") + logger.warning("[Alg-2] opponent ranks 'p' too low ⇒ manipulation impossible") return False, None # ── SWF order of the honest team ─────────────────────────────────── pt = F(team_profile) - _log.info("\n[Alg-2] =========================================================") - _log.info(f"[Alg-2] SWF order before coalition: {pt}") + logger.info("\n[Alg-2] =========================================================") + logger.info(f"[Alg-2] SWF order before coalition: {pt}") # ── iterate depths i = 1 … ⌈m/2⌉ ────────────────────────────────── for i in range(1, math.ceil(m / 2) + 1): - _log.info(f"\n[Alg-2] ===== depth i = {i} =====") + logger.info(f"\n[Alg-2] ===== depth i = {i} =====") Hi = _compute_Hi(preferred, i, pt, opponent_order) - _log.info(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") + logger.info(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") if len(Hi) < i: - _log.info("[Alg-2] › not enough candidates – skip depth") + logger.info("[Alg-2] › not enough candidates – skip depth") continue pm: List[List[str]] = [] @@ -243,7 +298,7 @@ def algorithm2_coalitional( # ── construct ballots l = 1 … k with the *same* Hᵢ ──────────── for l in range(1, k + 1): cur_pt = F(team_profile + pm) - _log.info(f"[Alg-2] manipulator #{l} sees SWF: {cur_pt}") + logger.info(f"[Alg-2] manipulator #{l} sees SWF: {cur_pt}") # top block (Hᵢ) – place the least-preferred first (rev order) hi_block = list(reversed([c for c in cur_pt if c in Hi])) @@ -254,19 +309,23 @@ def algorithm2_coalitional( pa = hi_block + lo_block pm.append(pa) - _log.info(f"[Alg-2] ballot = {pa}") - _log.info(f"[Alg-2] hi_block = {hi_block}") - _log.info(f"[Alg-2] lo_block = {lo_block}") + logger.info(f"[Alg-2] ballot = {pa}") + logger.info(f"[Alg-2] hi_block = {hi_block}") + logger.info(f"[Alg-2] lo_block = {lo_block}") # ── 4 evaluate RC after the whole coalition is in ─────────────── rc_outcome = _rc_result(F(team_profile + pm), opponent_order) - _log.debug(f"[Alg-2] RC outcome with coalition = {rc_outcome}") + logger.debug(f"[Alg-2] RC outcome with coalition = {rc_outcome}") if rc_outcome == preferred: - _log.info("[Alg-2] ✅ success – coalition found") + logger.info("[Alg-2] ✅ success – coalition found") return True, pm - _log.info("[Alg-2] ✘ depth failed – trying next i") + logger.info("[Alg-2] ✘ depth failed – trying next i") + + logger.info("\n[Alg-2] ❌ no successful coalition manipulation found") + return False, None + - _log.info("\n[Alg-2] ❌ no successful coalition manipulation found") - return False, None \ No newline at end of file +if __name__== "__main__": + print(algorithm1_single_voter(borda,[["b", "a", "p"]], ["b", "a", "p"], "p")) \ No newline at end of file From fedeb4e1cd14297f21be7990632a56a140279629 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Sun, 8 Jun 2025 14:38:00 +0300 Subject: [PATCH 08/23] added the main function and more logs --- .../strategic_voting_algorithms.py | 131 +++++++++++++++--- 1 file changed, 108 insertions(+), 23 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 623f58d1..b4bf99bf 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -27,30 +27,31 @@ from typing import Callable, List, Optional, Sequence, Set, Tuple # ───────────────────────────── logging ─────────────────────────────────── -# 4 types of logging: -# 1. INFO – high-level algorithm steps. -# 2. DEBUG – detailed steps. -# 3. WARNING – guards. -# 4. ERROR – unexpected errors. +import logging +# 4 levels we actually care about in this module: +# INFO – high-level algorithm steps +# DEBUG – detailed steps +# WARNING – guards +# ERROR – unexpected errors + +# ── 1. choose format style here ────────────────────────────────────────── +DETAILED_LOGS = False # ⇦ flip to True for the full timestamp/lineno format + +SIMPLE_FMT = "%(levelname)s: %(message)s" +DETAILED_FMT = "%(asctime)s: %(levelname)s: %(name)s: line %(lineno)d: %(message)s" +chosen_fmt = DETAILED_FMT if DETAILED_LOGS else SIMPLE_FMT + +# ── 2. build a single logger with a single handler ─────────────────────── logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) -# Configure the default formatting -logging.basicConfig(level=logging.DEBUG, format="%(levelname)s: %(message)s") - -# Create and configure a console handler console = logging.StreamHandler() -console.setLevel(logging.DEBUG) - -# Define a more detailed formatter for console output -formatter = logging.Formatter( - "%(asctime)s: %(levelname)s: %(name)s: Line %(lineno)s: %(message)s" -) -console.setFormatter(formatter) +console.setLevel(logging.INFO) # set to INFO to avoid DEBUG spam in the console +console.setFormatter(logging.Formatter(chosen_fmt)) -# Attach the console handler to our module‐level logger logger.addHandler(console) +logger.propagate = False # ──────────────────── 0. built-in social-welfare rules ─────────────────── def borda(profile: List[List[str]]) -> List[str]: @@ -62,12 +63,23 @@ def borda(profile: List[List[str]]) -> List[str]: if not profile: logger.warning("Empty profile in Borda count") return [] + m = len(profile[0]) scores = {c: 0 for c in profile[0]} + for ballot in profile: for pos, cand in enumerate(ballot): - scores[cand] += m - pos - 1 # m-1 … 0 points - return sorted(scores, key=lambda c: (-scores[c], c)) # tie-break lexicographically + scores[cand] += m - pos - 1 + + ranking = sorted(scores, key=lambda c: (-scores[c], c)) + + # ▲ log the full score vector in a stable, readable order + logger.info( + "[Borda] scores → %s", + [(c, scores[c]) for c in ranking] + ) + + return ranking def make_x_approval(x: int) -> Callable[[List[List[str]]], List[str]]: @@ -136,7 +148,10 @@ def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: logger.info(f"[RC] singleton intersection at j={j} ⇒ returning '{winner}'") return winner else: - logger.info(f"[RC] intersection at j={j} is not singleton ({len(inter)} items) ⇒ returning None") + logger.info( + "[RC] intersection at j=%d is not singleton (%d items: %s) ⇒ returning None", + j, len(inter), sorted(inter) + ) return None logger.debug("[RC] no intersection found at any depth ⇒ returning None") @@ -208,6 +223,8 @@ def algorithm1_single_voter( Single-voter manipulation (C-MaNego) with logging for trace. >>> algorithm1_single_voter(borda,[["b", "a", "p"]], ["b", "a", "p"], "p") (False, None) + >>> algorithm1_single_voter(borda,[["p", "c", "a", "b"],["p", "b", "a", "c"],["b", "p", "a", "c"],["b", "a", "c", "p"],], ["b", "p", "a", "c"], "p") + (True, ['a', 'p', 'c', 'b']) """ logger.info("\n[Alg-1] =========================================================") logger.info(f"[Alg-1] opponent order : {opponent_order}") @@ -266,8 +283,14 @@ def algorithm2_coalitional( Rational-Compromise (Bucklin) winner against `opponent_order`. >>> algorithm2_coalitional(borda, [], ["a", "b", "c", "p"], "p", k=2) (False, None) + >>> algorithm2_coalitional(borda, [["p", "d", "a", "b", "c", "e"],["a", "p", "b", "c", "d", "e"],["b", "c", "a", "p", "d", "e"],], ["a", "p", "b", "c", "d", "e"], "p", k=2) + (True, [['p', 'e', 'd', 'c', 'b', 'a'], ['p', 'e', 'd', 'c', 'b', 'a']]) """ - + logger.info("\n[Alg-2] =========================================================") + logger.info(f"[Alg-2] opponent order : {opponent_order}") + logger.info(f"[Alg-2] preferred : '{preferred}'") + logger.info(f"[Alg-2] team profile ({len(team_profile)} voters): {team_profile}") + logger.info(f"[Alg-2] coalition size k = {k}") # ── 0 guards ───────────────────────────────────────────────────────── if k <= 0: logger.warning("[Alg-2] 0 manipulators ⇒ impossible") @@ -327,5 +350,67 @@ def algorithm2_coalitional( return False, None -if __name__== "__main__": - print(algorithm1_single_voter(borda,[["b", "a", "p"]], ["b", "a", "p"], "p")) \ No newline at end of file +# ───────────────────────────── demo harness ────────────────────────────── +def main() -> None: + # ###################################### + # 1. Algorithm 1 – single manipulator # + # ###################################### + logger.info("\n===== DEMO 1: C-MaNego (single voter) =====") + + team_profile_1 = [ + ["p", "c", "a", "b"], + ["p", "b", "a", "c"], + ["b", "p", "a", "c"], + ["b", "a", "c", "p"], + ] + opponent_order_1 = ["b", "p", "a", "c"] + preferred_1 = "p" + + ok_1, ballot_1 = algorithm1_single_voter( + borda, + team_profile_1, + opponent_order_1, + preferred_1, + ) + logger.info(f"Outcome : {ok_1}") + if ok_1: + logger.info(f"Manipulative ballot : {ballot_1}") + else: + logger.info("Manipulation impossible under this profile.") + + # ###################################################### + # 2. Algorithm 2 – coalition of k manipulators (k = 2) # + # ###################################################### + logger.info("\n===== DEMO 2: CC-MaNego (coalition, k = 2) =====") + + team_profile_2 = [ + ["p", "d", "a", "b", "c", "e"], + ["a", "p", "b", "c", "d", "e"], + ["b", "c", "a", "p", "d", "e"], + ] + opponent_order_2 = ["a", "p", "b", "c", "d", "e"] + preferred_2 = "p" + k = 2 + + logger.info(f"Honest team profile : {team_profile_2}") + logger.info(f"Opponent ranking : {opponent_order_2}") + logger.info(f"Preferred candidate : '{preferred_2}', coalition size k = {k}") + + ok_2, ballots_2 = algorithm2_coalitional( + borda, + team_profile_2, + opponent_order_2, + preferred_2, + k, + ) + logger.info(f"Outcome : {ok_2}") + if ok_2: + for idx, b in enumerate(ballots_2, 1): + logger.info(f"Manipulator #{idx} ballot : {b}") + else: + logger.info("Coalitional manipulation impossible under this profile.") + + +# ------------------------------------------------------------------------- +if __name__ == "__main__": + main() From 402f21b2988e4e41c8f50a91b707577aff6eef56 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Wed, 11 Jun 2025 03:14:49 +0300 Subject: [PATCH 09/23] . --- .../strategic_voting_algorithms.py | 111 ++++++++++++++---- strategic-voting/test_algorithms.py | 25 ++++ 2 files changed, 113 insertions(+), 23 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index b4bf99bf..2a47a965 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -24,7 +24,14 @@ """ from __future__ import annotations import logging, math -from typing import Callable, List, Optional, Sequence, Set, Tuple +from typing import Callable, List, Optional, Sequence, Set, Tuple, Iterable, Union + +try: + # Only present if the user has pref_voting installed + from pref_voting.profiles import Profile as Profile +except ImportError: # tests or minimal env + class Profile: # dummy placeholder so isinstance() works + pass # ───────────────────────────── logging ─────────────────────────────────── import logging @@ -34,24 +41,39 @@ # DEBUG – detailed steps # WARNING – guards # ERROR – unexpected errors - -# ── 1. choose format style here ────────────────────────────────────────── -DETAILED_LOGS = False # ⇦ flip to True for the full timestamp/lineno format - -SIMPLE_FMT = "%(levelname)s: %(message)s" -DETAILED_FMT = "%(asctime)s: %(levelname)s: %(name)s: line %(lineno)d: %(message)s" -chosen_fmt = DETAILED_FMT if DETAILED_LOGS else SIMPLE_FMT - -# ── 2. build a single logger with a single handler ─────────────────────── logger = logging.getLogger(__name__) -logger.setLevel(logging.DEBUG) -console = logging.StreamHandler() -console.setLevel(logging.INFO) # set to INFO to avoid DEBUG spam in the console -console.setFormatter(logging.Formatter(chosen_fmt)) +def _setup_logging(detailed: bool = False) -> None: + """Attach a single console handler to this module’s logger.""" + fmt = ( + "%(asctime)s %(levelname)-8s %(name)s:%(lineno)d %(message)s" + if detailed + else "%(levelname)s: %(message)s" + ) + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter(fmt)) + handler.setLevel(logging.INFO) # tweak as you wish + logger.setLevel(logging.DEBUG) + logger.addHandler(handler) + logger.propagate = False + +# ──────────────────────────────────────────────────────────────── +def _explode_profile(profile: Union[Profile, Sequence[Sequence[str]]]) -> List[List[str]]: + """ + Normalise *either* kind of profile into an explicit list of ballots. -logger.addHandler(console) -logger.propagate = False + • If already a List[List[str]] → return it unchanged (cheap pointer copy). + • If a pref_voting.profiles.Profile → replicate each unique ranking + according to its count vector. + """ + if isinstance(profile, Profile): + return [ + ballot # copy-by-reference is fine + for ballot, n in zip(profile.rankings, profile.counts) + for _ in range(n) + ] + + return [list(b) for b in profile] # ──────────────────── 0. built-in social-welfare rules ─────────────────── def borda(profile: List[List[str]]) -> List[str]: @@ -215,9 +237,9 @@ def check_validation(opp: List[str], preferred: str, m: int) -> bool: # ─────────────── Algorithm 1 – single-voter manipulation ──────────────── def algorithm1_single_voter( F: Callable[[List[List[str]]], List[str]], # social-welfare function - team_profile : List[List[str]], # honest team ballots - opponent_order: List[str], # opponent ranking - preferred : str, # preferred candidate + team_profile : Union[List[List[str]], Profile], # honest team ballots + opponent_order: List[any], # opponent ranking + preferred : Union[str,int], # preferred candidate ) -> Tuple[bool, Optional[List[str]]]: """ Single-voter manipulation (C-MaNego) with logging for trace. @@ -226,6 +248,12 @@ def algorithm1_single_voter( >>> algorithm1_single_voter(borda,[["p", "c", "a", "b"],["p", "b", "a", "c"],["b", "p", "a", "c"],["b", "a", "c", "p"],], ["b", "p", "a", "c"], "p") (True, ['a', 'p', 'c', 'b']) """ + if not opponent_order or not team_profile: + logger.warning("[Alg-1] empty team profile or opponent ranking – exit") + return False, None + + team_profile = _explode_profile(team_profile) + logger.info("\n[Alg-1] =========================================================") logger.info(f"[Alg-1] opponent order : {opponent_order}") logger.info(f"[Alg-1] preferred : '{preferred}'") @@ -273,9 +301,9 @@ def algorithm1_single_voter( # ───────── Algorithm 2 – coalition of k manipulators (CC-MaNego) ───────── def algorithm2_coalitional( F: Callable[[List[List[str]]], List[str]], - team_profile : List[List[str]], - opponent_order: List[str], - preferred : str, + team_profile : Union[List[List[str]], Profile], + opponent_order: List[any], + preferred : Union[str,int], k : int, ) -> Tuple[bool, Optional[List[List[str]]]]: """ @@ -286,6 +314,15 @@ def algorithm2_coalitional( >>> algorithm2_coalitional(borda, [["p", "d", "a", "b", "c", "e"],["a", "p", "b", "c", "d", "e"],["b", "c", "a", "p", "d", "e"],], ["a", "p", "b", "c", "d", "e"], "p", k=2) (True, [['p', 'e', 'd', 'c', 'b', 'a'], ['p', 'e', 'd', 'c', 'b', 'a']]) """ + if k <= 0: + logger.warning("[Alg-2] k=0 manipulators – impossible by definition") + return False, None + if not opponent_order: + logger.warning("[Alg-2] empty opponent ranking – exit") + return False, None + + team_profile = _explode_profile(team_profile) + logger.info("\n[Alg-2] =========================================================") logger.info(f"[Alg-2] opponent order : {opponent_order}") logger.info(f"[Alg-2] preferred : '{preferred}'") @@ -352,10 +389,11 @@ def algorithm2_coalitional( # ───────────────────────────── demo harness ────────────────────────────── def main() -> None: + _setup_logging(detailed=False) # ###################################### # 1. Algorithm 1 – single manipulator # # ###################################### - logger.info("\n===== DEMO 1: C-MaNego (single voter) =====") + logger.info("\n===== DEMO 1-A: C-MaNego (single voter) =====") team_profile_1 = [ ["p", "c", "a", "b"], @@ -377,7 +415,34 @@ def main() -> None: logger.info(f"Manipulative ballot : {ballot_1}") else: logger.info("Manipulation impossible under this profile.") + # ------------------------------------------------------------------ + # 1-B. SAME EXAMPLE, Profile BUILT *AS IN* pref_voting DOCS (integers) + # ------------------------------------------------------------------ + logger.info("\n===== DEMO 1-B: C-MaNego with canonical integer Profile =====") + + ballots = [ + (0, 1, 2, 3), # 0>1>2>3 (p>c>a>b) + (0, 3, 2, 1), # 0>3>2>1 (p>b>a>c) + (3, 0, 2, 1), # 3>0>2>1 (b>p>a>c) + (3, 2, 1, 0), # 3>2>1>0 (b>a>c>p) + ] + counts = [1, 1, 1, 1] # one voter per ranking + + profile = Profile(ballots, rcounts=counts) + + opponent_order = [3, 0, 2, 1] # b p a c (IDs) + preferred = 0 # p + + ok, ballot = algorithm1_single_voter( + borda, + profile, + opponent_order, + preferred, + ) + logger.info(f"Outcome : {ok}") + logger.info(f"Manipulative ballot : {ballot}" if ok + else "Manipulation impossible under this profile.") # ###################################################### # 2. Algorithm 2 – coalition of k manipulators (k = 2) # # ###################################################### diff --git a/strategic-voting/test_algorithms.py b/strategic-voting/test_algorithms.py index 3122d287..b104d9fa 100644 --- a/strategic-voting/test_algorithms.py +++ b/strategic-voting/test_algorithms.py @@ -21,7 +21,13 @@ borda, make_x_approval, ) +from typing import List, Union +try: + from pref_voting.profiles import Profile # real class +except ImportError: + Profile = None # tests on a lean env +from pref_voting.helper import create_election # --------------------------------------------------------------------- # Shared constants – paper’s “4 honest + 1 manipulator” example TEAM_PROFILE_EXAMPLE = [ @@ -102,6 +108,25 @@ def test_alg1_random_output_shape(): if ok: assert sorted(vote) == sorted(candidates) +@pytest.mark.skipif(Profile is None, reason="pref_voting not installed") +def test_alg1_accepts_pref_profile(): + # 4-candidate mapping: p=0, c=1, a=2, b=3 + ballots = [ + [0, 1, 2, 3], # p c a b + [0, 3, 2, 1], # p b a c + [3, 0, 2, 1], # b p a c + [3, 2, 1, 0], # b a c p + ] + counts = [1, 1, 1, 1] + + prof = Profile(ballots, counts) + + opponent_order = [3, 0, 2, 1] # b p a c (same code) + preferred = 0 # p + + ok, _ = algorithm1_single_voter(borda, prof, opponent_order, preferred) + assert ok + # --------------------------------------------------------------------- # Algorithm 2 From f12831c2c6e8d9e8f186194c8acf7680906c6739 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Wed, 11 Jun 2025 09:22:57 +0300 Subject: [PATCH 10/23] . --- strategic-voting/strategic_voting_algorithms.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 2a47a965..35f8ab2c 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -63,16 +63,21 @@ def _explode_profile(profile: Union[Profile, Sequence[Sequence[str]]]) -> List[L Normalise *either* kind of profile into an explicit list of ballots. • If already a List[List[str]] → return it unchanged (cheap pointer copy). - • If a pref_voting.profiles.Profile → replicate each unique ranking - according to its count vector. + • If a Profile → replicate each unique ranking according to its count vector; + if `profile.counts` is missing or None, assume 1 voter per ranking. """ if isinstance(profile, Profile): + # try to grab counts; default to [1, 1, …] if missing or None + raw_counts = getattr(profile, 'counts', None) + counts = raw_counts if raw_counts is not None else [1] * len(profile.rankings) + return [ - ballot # copy-by-reference is fine - for ballot, n in zip(profile.rankings, profile.counts) + ballot + for ballot, n in zip(profile.rankings, counts) for _ in range(n) ] + # if it's already a sequence of ballots return [list(b) for b in profile] # ──────────────────── 0. built-in social-welfare rules ─────────────────── From 6a90aed278f4ee065ed04f266088c4a44a2345aa Mon Sep 17 00:00:00 2001 From: elyasafko Date: Thu, 12 Jun 2025 00:17:40 +0300 Subject: [PATCH 11/23] added comments --- .../strategic_voting_algorithms.py | 204 ++++++++++++++++-- strategic-voting/test_algorithms.py | 3 - 2 files changed, 183 insertions(+), 24 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 35f8ab2c..4ea36d2f 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -24,18 +24,16 @@ """ from __future__ import annotations import logging, math -from typing import Callable, List, Optional, Sequence, Set, Tuple, Iterable, Union +from typing import Callable, List, Optional, Sequence, Set, Tuple, Union try: # Only present if the user has pref_voting installed from pref_voting.profiles import Profile as Profile except ImportError: # tests or minimal env - class Profile: # dummy placeholder so isinstance() works + class Profile: # fake placeholder so isinstance() works pass # ───────────────────────────── logging ─────────────────────────────────── -import logging - # 4 levels we actually care about in this module: # INFO – high-level algorithm steps # DEBUG – detailed steps @@ -44,7 +42,19 @@ class Profile: # dummy placeholder so isinstance() works logger = logging.getLogger(__name__) def _setup_logging(detailed: bool = False) -> None: - """Attach a single console handler to this module’s logger.""" + """ + Attach a single console handler to this module’s logger. + + Parameters + ---------- + detailed : bool, optional + If True, use a verbose timestamped format + ("%Y-%m-%d %H:%M:%S ..."); otherwise, use level-only format. + + Returns + ------- + None + """ fmt = ( "%(asctime)s %(levelname)-8s %(name)s:%(lineno)d %(message)s" if detailed @@ -60,10 +70,21 @@ def _setup_logging(detailed: bool = False) -> None: # ──────────────────────────────────────────────────────────────── def _explode_profile(profile: Union[Profile, Sequence[Sequence[str]]]) -> List[List[str]]: """ - Normalise *either* kind of profile into an explicit list of ballots. + Normalize a Profile or raw ballots into an explicit list of ballots. + + Parameters + ---------- + profile : Profile or Sequence of Sequence of str + - If a Profile, each ranking is replicated by its count. + - If a raw sequence, it is assumed to already be a list of ballots. + + Returns + ------- + List[List[str]] + Expanded list of ballots. • If already a List[List[str]] → return it unchanged (cheap pointer copy). - • If a Profile → replicate each unique ranking according to its count vector; + • If a Profile → replicates each unique ranking according to its count vector; if `profile.counts` is missing or None, assume 1 voter per ranking. """ if isinstance(profile, Profile): @@ -83,7 +104,18 @@ def _explode_profile(profile: Union[Profile, Sequence[Sequence[str]]]) -> List[L # ──────────────────── 0. built-in social-welfare rules ─────────────────── def borda(profile: List[List[str]]) -> List[str]: """ - Return a complete Borda ranking for string ballots. + Compute the Borda count ranking for a list of ballots. + + Parameters + ---------- + profile : List of List of str + Each inner list is a ballot ranking candidates. + + Returns + ------- + List[str] + Candidates sorted from highest to lowest Borda score. + >>> borda([["C", "A", "B"], ["B", "C", "A"], ["C", "A", "B"]]) ['C', 'A', 'B'] """ @@ -112,6 +144,23 @@ def borda(profile: List[List[str]]) -> List[str]: def make_x_approval(x: int) -> Callable[[List[List[str]]], List[str]]: """ Factory: x-approval rule (Plurality is x=1). + Create an x-approval social welfare function. + + Parameters + ---------- + x : int + Number of top positions on each ballot that earn one point. + + Returns + ------- + Callable[[List[List[str]]], List[str]] + A function that maps ballots to a full ranking. + + Raises + ------ + ValueError + If x is not a positive integer. + >>> x_approval = make_x_approval(2) >>> x_approval([["C", "A", "B"], ["B", "C", "A"], ["C", "A", "B"]]) ['C', 'A', 'B'] @@ -136,7 +185,20 @@ def rule(profile: List[List[str]]) -> List[str]: # ───────────────────── 1. shared helper utilities ──────────────────────── def _pos(candidate: str, ranking: Sequence[str]) -> int: """ - Paper position: higher ranked ⇒ larger value. + Compute paper‐style position of `candidate` in `ranking`. + + Parameters + ---------- + candidate + label of the candidate to look up. + ranking + a full ranking list with most‐to‐least preferred. + + Returns + ------- + int + position value (higher ⇒ better). + >>> _pos("A", ["C", "B", "A"]) 0 """ @@ -148,7 +210,20 @@ def _pos(candidate: str, ranking: Sequence[str]) -> int: def _top_i(ranking: Sequence[str], i: int) -> List[str]: """ - Return the top-i candidates in the given ranking. + Return the first i candidates from a ranking. + + Parameters + ---------- + ranking : Sequence of str + Full ranking, most-to-least preferred. + i : int + Number of top candidates to select. + + Returns + ------- + List[str] + The top i candidates. + >>> _top_i(["C", "B", "A"], 2) ['C', 'B'] """ @@ -157,7 +232,19 @@ def _top_i(ranking: Sequence[str], i: int) -> List[str]: # ──────────────────── Rational-Compromise helper ──────────────────────── def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: """ - Rational-Compromise outcome for two parties. + Compute the Rational-Compromise winner between two orderings. + + Parameters + ---------- + pt : Sequence of str + Social welfare function ranking (team). + po : Sequence of str + Opponent’s ranking. + + Returns + ------- + Optional[str] + The singleton intersection winner, or None if none found. Prints a concise trace of the top-j intersections as it searches for the first *singleton* intersection. Returns the winner (string) or None. @@ -191,6 +278,25 @@ def _compute_Hi( opponent_order: Sequence[str], ) -> List[str]: """ + Build a depth-i candidate set Hᵢ. + + Parameters + ---------- + preferred : str + The candidate we aim to promote. + i : int + Depth parameter (1 ≤ i ≤ m). + pt : Sequence of str + Honest team’s SWF ranking. + opponent_order : Sequence of str + Opponent’s full ranking. + + Returns + ------- + List[str] + A list of up to i candidates: starts with `preferred`, then the next + best in `pt` not in opponent’s top-i. + Hᵢ = {preferred} ∪ (i-1 best in pt not in Aᵢ(po)), keeping pt order. Aᵢ(po) = top-i candidates in po (opponent) order. >>> _compute_Hi("A", 2, ["C", "A", "B"], ["B", "C", "A"]) @@ -215,8 +321,22 @@ def _compute_Hi( def check_validation(opp: List[str], preferred: str, m: int) -> bool: """ - Check if the opponent ranks the preferred candidate high enough. - If not, manipulation is impossible. + Guard: ensure opponent ranks `preferred` high enough for manipulation, if not, manipulation is impossible. + + Parameters + ---------- + opp : List of str + Opponent’s ranking. + preferred : str + Candidate to check. + m : int + Total number of candidates. + + Returns + ------- + bool + True if `preferred` is ranked at or above ceil(m/2); otherwise False. + >>> check_validation(["A", "B", "C"], "A", 3) True >>> check_validation(["C", "B", "A"], "A", 2) @@ -241,13 +361,30 @@ def check_validation(opp: List[str], preferred: str, m: int) -> bool: # ─────────────── Algorithm 1 – single-voter manipulation ──────────────── def algorithm1_single_voter( - F: Callable[[List[List[str]]], List[str]], # social-welfare function + F: Callable[[List[List[str]]], List[str]], # social-welfare function team_profile : Union[List[List[str]], Profile], # honest team ballots - opponent_order: List[any], # opponent ranking - preferred : Union[str,int], # preferred candidate + opponent_order: Union[List[str],List[int]], # opponent ranking + preferred : Union[str,int], # preferred candidate ) -> Tuple[bool, Optional[List[str]]]: """ - Single-voter manipulation (C-MaNego) with logging for trace. + Single-voter manipulation: find a ballot that makes `preferred` the unique RC winner. + + Parameters + ---------- + F: Callable[[List[List[str]]], List[str]] + Social welfare function. + team_profile : List of List of str or Profile + Honest team ballots or Profile object. + opponent_order : List of int or List of str + Opponent’s ranking. + preferred : str or int + Candidate to manipulate for. + + Returns + ------- + Tuple[bool, Optional[List[str]]] + (success, manipulative_ballot) or (False, None). + >>> algorithm1_single_voter(borda,[["b", "a", "p"]], ["b", "a", "p"], "p") (False, None) >>> algorithm1_single_voter(borda,[["p", "c", "a", "b"],["p", "b", "a", "c"],["b", "p", "a", "c"],["b", "a", "c", "p"],], ["b", "p", "a", "c"], "p") @@ -307,13 +444,31 @@ def algorithm1_single_voter( def algorithm2_coalitional( F: Callable[[List[List[str]]], List[str]], team_profile : Union[List[List[str]], Profile], - opponent_order: List[any], + opponent_order: Union[List[str],List[int]], preferred : Union[str,int], k : int, ) -> Tuple[bool, Optional[List[List[str]]]]: """ - Decide whether a coalition of size *k* can make `preferred` the unique - Rational-Compromise (Bucklin) winner against `opponent_order`. + Coalition manipulation of size k: find ballots that make `preferred` the unique RC winner. + + Parameters + ---------- + F: Callable[[List[List[str]]], List[str]] + Social welfare function. + team_profile : List of List of str or Profile + Honest team ballots or Profile object. + opponent_order : List of int or List of str + Opponent’s ranking. + preferred : str or int + Candidate to manipulate for. + k : int + Number of manipulators. + + Returns + ------- + Tuple[bool, Optional[List[List[str]]]] + (success, list_of_ballots) or (False, None). + >>> algorithm2_coalitional(borda, [], ["a", "b", "c", "p"], "p", k=2) (False, None) >>> algorithm2_coalitional(borda, [["p", "d", "a", "b", "c", "e"],["a", "p", "b", "c", "d", "e"],["b", "c", "a", "p", "d", "e"],], ["a", "p", "b", "c", "d", "e"], "p", k=2) @@ -378,7 +533,7 @@ def algorithm2_coalitional( logger.info(f"[Alg-2] hi_block = {hi_block}") logger.info(f"[Alg-2] lo_block = {lo_block}") - # ── 4 evaluate RC after the whole coalition is in ─────────────── + # ── 4 evaluate RC after the whole coalition is in ─────────────── rc_outcome = _rc_result(F(team_profile + pm), opponent_order) logger.debug(f"[Alg-2] RC outcome with coalition = {rc_outcome}") @@ -394,6 +549,13 @@ def algorithm2_coalitional( # ───────────────────────────── demo harness ────────────────────────────── def main() -> None: + """ + Demo harness for C-MaNego (single manipulator) and CC-MaNego (coalition). + + This function sets up logging, runs two example profiles + through `algorithm1_single_voter` and `algorithm2_coalitional`, + and prints the outcomes via the module logger. + """ _setup_logging(detailed=False) # ###################################### # 1. Algorithm 1 – single manipulator # diff --git a/strategic-voting/test_algorithms.py b/strategic-voting/test_algorithms.py index b104d9fa..3d139288 100644 --- a/strategic-voting/test_algorithms.py +++ b/strategic-voting/test_algorithms.py @@ -14,20 +14,17 @@ import random import pytest -#from pref_voting.scoring_methods import borda from strategic_voting_algorithms import ( algorithm1_single_voter, algorithm2_coalitional, borda, make_x_approval, ) -from typing import List, Union try: from pref_voting.profiles import Profile # real class except ImportError: Profile = None # tests on a lean env -from pref_voting.helper import create_election # --------------------------------------------------------------------- # Shared constants – paper’s “4 honest + 1 manipulator” example TEAM_PROFILE_EXAMPLE = [ From bf38726971096253b48aeec5ecb10d6a18f91067 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Thu, 12 Jun 2025 11:33:32 +0300 Subject: [PATCH 12/23] added comments --- .../strategic_voting_algorithms.py | 21 +++++++++---------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index 4ea36d2f..a7f505d4 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -89,7 +89,7 @@ def _explode_profile(profile: Union[Profile, Sequence[Sequence[str]]]) -> List[L """ if isinstance(profile, Profile): # try to grab counts; default to [1, 1, …] if missing or None - raw_counts = getattr(profile, 'counts', None) + raw_counts = getattr(profile, 'rcounts', None) counts = raw_counts if raw_counts is not None else [1] * len(profile.rankings) return [ @@ -173,10 +173,10 @@ def rule(profile: List[List[str]]) -> List[str]: if not profile: logger.warning("Empty profile in x-approval count") return [] - scores = {c: 0 for c in profile[0]} + scores = {c: 0 for c in profile[0]} # initialize scores for all candidates to 0 for ballot in profile: for cand in ballot[:x]: - scores[cand] += 1 + scores[cand] += 1 # increment score for each of the top x candidates return sorted(scores, key=lambda c: (-scores[c], c)) rule.__name__ = f"x_approval_{x}" @@ -187,6 +187,8 @@ def _pos(candidate: str, ranking: Sequence[str]) -> int: """ Compute paper‐style position of `candidate` in `ranking`. + "the number of outcomes that o (candidate) is preferred over them in pi (ranking)." + Parameters ---------- candidate @@ -233,7 +235,7 @@ def _top_i(ranking: Sequence[str], i: int) -> List[str]: def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: """ Compute the Rational-Compromise winner between two orderings. - + VAOV-style intersection of top-i candidates. Parameters ---------- pt : Sequence of str @@ -253,12 +255,12 @@ def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: """ m = len(pt) for j in range(1, m + 1): - inter = set(_top_i(pt, j)) & set(_top_i(po, j)) + inter = set(_top_i(pt, j)) & set(_top_i(po, j)) # intersection of top-j logger.debug(f"[RC] depth j={j}, pt_top={_top_i(pt, j)}, po_top={_top_i(po, j)}, intersection={sorted(inter)}") if inter: if len(inter) == 1: - winner = next(iter(inter)) + winner = next(iter(inter)) # the set has exactly one element, get it logger.info(f"[RC] singleton intersection at j={j} ⇒ returning '{winner}'") return winner else: @@ -309,10 +311,10 @@ def _compute_Hi( logger.debug(f"[_compute_Hi] initially H = {H}") for c in pt: - if len(H) == i: + if len(H) == i: # already have i candidates break - if c != preferred and c not in Ai_po: + if c != preferred and c not in Ai_po: # not in opponent's top-i H.append(c) logger.debug(f"[_compute_Hi] adding '{c}' to H (size now {len(H)})") @@ -489,9 +491,6 @@ def algorithm2_coalitional( logger.info(f"[Alg-2] team profile ({len(team_profile)} voters): {team_profile}") logger.info(f"[Alg-2] coalition size k = {k}") # ── 0 guards ───────────────────────────────────────────────────────── - if k <= 0: - logger.warning("[Alg-2] 0 manipulators ⇒ impossible") - return False, None m = len(opponent_order) if not check_validation(opponent_order, preferred, m): From 81905ceb7414f29e9409b6dab445e6bbeac07984 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Fri, 13 Jun 2025 16:59:21 +0300 Subject: [PATCH 13/23] . --- strategic-voting/strategic_voting_algorithms.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/strategic-voting/strategic_voting_algorithms.py b/strategic-voting/strategic_voting_algorithms.py index a7f505d4..ed8a546d 100644 --- a/strategic-voting/strategic_voting_algorithms.py +++ b/strategic-voting/strategic_voting_algorithms.py @@ -89,7 +89,7 @@ def _explode_profile(profile: Union[Profile, Sequence[Sequence[str]]]) -> List[L """ if isinstance(profile, Profile): # try to grab counts; default to [1, 1, …] if missing or None - raw_counts = getattr(profile, 'rcounts', None) + raw_counts = getattr(profile, 'counts', None) counts = raw_counts if raw_counts is not None else [1] * len(profile.rankings) return [ @@ -301,8 +301,8 @@ def _compute_Hi( Hᵢ = {preferred} ∪ (i-1 best in pt not in Aᵢ(po)), keeping pt order. Aᵢ(po) = top-i candidates in po (opponent) order. - >>> _compute_Hi("A", 2, ["C", "A", "B"], ["B", "C", "A"]) - ['A'] + >>> _compute_Hi("p", 2, [["p", "c", "a", "b"],["p", "b", "a", "c"],["b", "p", "a", "c"],["b", "a", "c", "p"],], ["b", "p", "a", "c"]) + ['p','a'] """ Ai_po: Set[str] = set(_top_i(opponent_order, i)) logger.debug(f"[_compute_Hi] i={i}, opponent_top_i={sorted(Ai_po)}") From 62a7a0338a96aeba33a7c7688710deeb1725dfdb Mon Sep 17 00:00:00 2001 From: elyasafko Date: Wed, 18 Jun 2025 11:19:36 +0300 Subject: [PATCH 14/23] . --- experiments/__init__.py | 0 experiments/results/rc_coal.csv | 16201 ++++++++++++++++ experiments/results/rc_single.csv | 7201 +++++++ experiments/results/success_vs_m_coal_k2.png | Bin 0 -> 119398 bytes experiments/results/success_vs_m_coal_k3.png | Bin 0 -> 109449 bytes experiments/results/success_vs_m_coal_k4.png | Bin 0 -> 105610 bytes experiments/results/success_vs_m_single.png | Bin 0 -> 128554 bytes experiments/run_rc_manipulations.py | 141 + .../strategic_voting_algorithms.py | 2 +- .../test_algorithms.py | 0 10 files changed, 23544 insertions(+), 1 deletion(-) create mode 100644 experiments/__init__.py create mode 100644 experiments/results/rc_coal.csv create mode 100644 experiments/results/rc_single.csv create mode 100644 experiments/results/success_vs_m_coal_k2.png create mode 100644 experiments/results/success_vs_m_coal_k3.png create mode 100644 experiments/results/success_vs_m_coal_k4.png create mode 100644 experiments/results/success_vs_m_single.png create mode 100644 experiments/run_rc_manipulations.py rename {strategic-voting => strategic_voting}/strategic_voting_algorithms.py (99%) rename {strategic-voting => strategic_voting}/test_algorithms.py (100%) diff --git a/experiments/__init__.py b/experiments/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/experiments/results/rc_coal.csv b/experiments/results/rc_coal.csv new file mode 100644 index 00000000..ca8142eb --- /dev/null +++ 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coalition size k = {k}") ok_2, ballots_2 = algorithm2_coalitional( - borda, + make_x_approval(2), team_profile_2, opponent_order_2, preferred_2, diff --git a/strategic-voting/test_algorithms.py b/strategic_voting/test_algorithms.py similarity index 100% rename from strategic-voting/test_algorithms.py rename to strategic_voting/test_algorithms.py From 37a2d7f180f9b5af3fd25ef119b2bc906adf2228 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Wed, 18 Jun 2025 13:05:41 +0300 Subject: [PATCH 15/23] .. --- experiments/results/rc_coal.csv | 32384 ++++++++-------- experiments/results/rc_single.csv | 14400 +++---- .../results/success_vs_m_coal_k2_w_time.png | Bin 0 -> 167698 bytes .../results/success_vs_m_coal_k3_w_time.png | Bin 0 -> 164485 bytes .../results/success_vs_m_coal_k4_w_time.png | Bin 0 -> 162756 bytes .../results/success_vs_m_single_w_time.png | Bin 0 -> 176285 bytes experiments/run_rc_manipulations.py | 110 +- 7 files changed, 23459 insertions(+), 23435 deletions(-) create mode 100644 experiments/results/success_vs_m_coal_k2_w_time.png create mode 100644 experiments/results/success_vs_m_coal_k3_w_time.png create mode 100644 experiments/results/success_vs_m_coal_k4_w_time.png create mode 100644 experiments/results/success_vs_m_single_w_time.png diff --git a/experiments/results/rc_coal.csv b/experiments/results/rc_coal.csv index ca8142eb..0cdc7356 100644 --- a/experiments/results/rc_coal.csv +++ b/experiments/results/rc_coal.csv @@ -1,16201 +1,16201 @@ m,n_team,k,rule,seed,ok,runtime -3,2,2,plurality,0,False,0.0007469999836757779 -3,2,2,plurality,1,False,0.0009727999567985535 -3,2,2,plurality,2,False,0.0007846999797038734 -3,2,2,plurality,3,False,0.0013719000271521509 -3,2,2,plurality,4,False,0.0005333000444807112 -3,2,2,plurality,5,False,0.00036720000207424164 -3,2,2,plurality,6,False,0.0003884999896399677 -3,2,2,plurality,7,False,0.0003510999958962202 -3,2,2,plurality,8,False,0.0004484999808482826 -3,2,2,plurality,9,False,0.00040439999429509044 -3,2,2,plurality,10,False,0.0003848000196740031 -3,2,2,plurality,11,False,0.00030509999487549067 -3,2,2,plurality,12,False,0.0003006000188179314 -3,2,2,plurality,13,False,0.0007467000395990908 -3,2,2,plurality,14,False,0.0006009999779053032 -3,2,2,plurality,15,False,0.0009734999621286988 -3,2,2,plurality,16,False,0.00034930004039779305 -3,2,2,plurality,17,False,0.00033919996349141 -3,2,2,plurality,18,False,0.0003290999447926879 -3,2,2,plurality,19,False,0.0003532999544404447 -3,2,2,plurality,20,False,0.0005941999843344092 -3,2,2,plurality,21,False,0.00045930000487715006 -3,2,2,plurality,22,False,0.0003912999527528882 -3,2,2,plurality,23,False,0.00034880003659054637 -3,2,2,plurality,24,False,0.00027110002702102065 -3,2,2,plurality,25,False,0.00025429995730519295 -3,2,2,plurality,26,False,0.00031049997778609395 -3,2,2,plurality,27,False,0.00034580001374706626 -3,2,2,plurality,28,False,0.00033710000570863485 -3,2,2,plurality,29,False,0.00025560002541169524 -3,2,2,plurality,30,False,0.00021059997379779816 -3,2,2,plurality,31,False,0.00023290002718567848 -3,2,2,plurality,32,False,0.00028630002634599805 -3,2,2,plurality,33,False,0.00036990002263337374 -3,2,2,plurality,34,False,0.0005147000192664564 -3,2,2,plurality,35,False,0.000256399973295629 -3,2,2,plurality,36,False,0.00026239996077492833 -3,2,2,plurality,37,False,0.0002571999793872237 -3,2,2,plurality,38,False,0.00037379999412223697 -3,2,2,plurality,39,False,0.00028899998869746923 -3,2,2,plurality,40,False,0.00032220000866800547 -3,2,2,plurality,41,False,0.00023529998725280166 -3,2,2,plurality,42,False,0.00021890003699809313 -3,2,2,plurality,43,False,0.0002395000192336738 -3,2,2,plurality,44,False,0.00024149997625499964 -3,2,2,plurality,45,False,0.0004910000134259462 -3,2,2,plurality,46,False,0.0003008000203408301 -3,2,2,plurality,47,False,0.0009118000161834061 -3,2,2,plurality,48,False,0.00023689999943599105 -3,2,2,plurality,49,False,0.00022769998759031296 -3,2,2,2-approval,0,False,0.00023359997430816293 -3,2,2,2-approval,1,False,0.0002361999941058457 -3,2,2,2-approval,2,False,0.00024720001965761185 -3,2,2,2-approval,3,False,0.00037999998312443495 -3,2,2,2-approval,4,False,0.0003369000041857362 -3,2,2,2-approval,5,False,0.0004393000272102654 -3,2,2,2-approval,6,False,0.0003234000178053975 -3,2,2,2-approval,7,False,0.00029090000316500664 -3,2,2,2-approval,8,False,0.0002914000069722533 -3,2,2,2-approval,9,False,0.00048500002594664693 -3,2,2,2-approval,10,False,0.0002733999863266945 -3,2,2,2-approval,11,False,0.00027540000155568123 -3,2,2,2-approval,12,False,0.0002986000035889447 -3,2,2,2-approval,13,False,0.0002758000046014786 -3,2,2,2-approval,14,False,0.00035530002787709236 -3,2,2,2-approval,15,False,0.00032140000257641077 -3,2,2,2-approval,16,False,0.00023790000705048442 -3,2,2,2-approval,17,False,0.00024289998691529036 -3,2,2,2-approval,18,False,0.00041769997915253043 -3,2,2,2-approval,19,False,0.0012192000285722315 -3,2,2,2-approval,20,False,0.00033949996577575803 -3,2,2,2-approval,21,False,0.0002759000053629279 -3,2,2,2-approval,22,False,0.00037570000858977437 -3,2,2,2-approval,23,False,0.000304899993352592 -3,2,2,2-approval,24,False,0.000548299984075129 -3,2,2,2-approval,25,False,0.0004004999645985663 -3,2,2,2-approval,26,False,0.00031450000824406743 -3,2,2,2-approval,27,False,0.0002502999850548804 -3,2,2,2-approval,28,False,0.0002232000115327537 -3,2,2,2-approval,29,False,0.0003374999505467713 -3,2,2,2-approval,30,False,0.0003725000424310565 -3,2,2,2-approval,31,False,0.0003648999845609069 -3,2,2,2-approval,32,False,0.0002908000024035573 -3,2,2,2-approval,33,False,0.000602699990849942 -3,2,2,2-approval,34,False,0.0002633000258356333 -3,2,2,2-approval,35,False,0.0003833999508060515 -3,2,2,2-approval,36,False,0.00036890001501888037 -3,2,2,2-approval,37,False,0.00047480000648647547 -3,2,2,2-approval,38,False,0.00024319998919963837 -3,2,2,2-approval,39,False,0.00021539995213970542 -3,2,2,2-approval,40,False,0.00021170004038140178 -3,2,2,2-approval,41,False,0.00047069997526705265 -3,2,2,2-approval,42,False,0.00028929999098181725 -3,2,2,2-approval,43,False,0.0003695000195875764 -3,2,2,2-approval,44,False,0.00026080000679939985 -3,2,2,2-approval,45,False,0.0002962000435218215 -3,2,2,2-approval,46,False,0.0002723000361584127 -3,2,2,2-approval,47,False,0.0006392000359483063 -3,2,2,2-approval,48,False,0.00032980000833049417 -3,2,2,2-approval,49,False,0.00039739999920129776 -3,2,2,veto,0,False,0.00031049997778609395 -3,2,2,veto,1,False,0.00022929999977350235 -3,2,2,veto,2,False,0.00021980004385113716 -3,2,2,veto,3,False,0.00028249999741092324 -3,2,2,veto,4,False,0.00033089995849877596 -3,2,2,veto,5,False,0.00034359999699518085 -3,2,2,veto,6,False,0.0002662999904714525 -3,2,2,veto,7,False,0.0002544000162743032 -3,2,2,veto,8,False,0.00023260002490133047 -3,2,2,veto,9,False,0.00030239997431635857 -3,2,2,veto,10,False,0.00042369996663182974 -3,2,2,veto,11,False,0.00028529996052384377 -3,2,2,veto,12,False,0.0008551000501029193 -3,2,2,veto,13,False,0.0007217000238597393 -3,2,2,veto,14,False,0.000270900025498122 -3,2,2,veto,15,False,0.00031259999377653003 -3,2,2,veto,16,False,0.00031720002880319953 -3,2,2,veto,17,False,0.0002788000274449587 -3,2,2,veto,18,False,0.0002680000034160912 -3,2,2,veto,19,False,0.00023380003403872252 -3,2,2,veto,20,False,0.0002562999725341797 -3,2,2,veto,21,False,0.00031999999191612005 -3,2,2,veto,22,False,0.0009148000390268862 -3,2,2,veto,23,False,0.0005536000244319439 -3,2,2,veto,24,False,0.00022489996626973152 -3,2,2,veto,25,False,0.00021949998335912824 -3,2,2,veto,26,False,0.00027109996881335974 -3,2,2,veto,27,False,0.0004537999629974365 -3,2,2,veto,28,False,0.00042779999785125256 -3,2,2,veto,29,False,0.00033029995393007994 -3,2,2,veto,30,False,0.00038329995004460216 -3,2,2,veto,31,False,0.00028310000197961926 -3,2,2,veto,32,False,0.0003415000392124057 -3,2,2,veto,33,False,0.0003293999470770359 -3,2,2,veto,34,False,0.0002812999882735312 -3,2,2,veto,35,False,0.00022599997464567423 -3,2,2,veto,36,False,0.00023220002185553312 -3,2,2,veto,37,False,0.00020970002515241504 -3,2,2,veto,38,False,0.0003369000041857362 -3,2,2,veto,39,False,0.000347500026691705 -3,2,2,veto,40,False,0.00023500004317611456 -3,2,2,veto,41,False,0.00021170004038140178 -3,2,2,veto,42,False,0.00020970002515241504 -3,2,2,veto,43,False,0.0002555000246502459 -3,2,2,veto,44,False,0.00022460002219304442 -3,2,2,veto,45,False,0.00023229996440932155 -3,2,2,veto,46,False,0.00031510001281276345 -3,2,2,veto,47,False,0.0005889000021852553 -3,2,2,veto,48,False,0.00035180000122636557 -3,2,2,veto,49,False,0.00025809998624026775 -3,2,3,plurality,0,False,0.00024090002989396453 -3,2,3,plurality,1,False,0.0002929000183939934 -3,2,3,plurality,2,False,0.0003595000016503036 -3,2,3,plurality,3,False,0.000512800004798919 -3,2,3,plurality,4,False,0.0002978999982587993 -3,2,3,plurality,5,False,0.0002767000114545226 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Plots saved under", RESULT_DIR) + fig.savefig(fname, dpi=300) + plt.close(fig) + + + # B1 ─ single-voter ----------------------------------------------------- + df = add_runtime_ms(pd.read_csv(RESULT_DIR / CSV_SINGLE)) + summ = (df.groupby(["rule", "m"]) + .agg(success_pct=("ok", "mean"), runtime_ms=("runtime_ms", "mean")) + .reset_index()) + summ["success_pct"] *= 100 + stacked_plot(summ, "single voter", + RESULT_DIR / "success_vs_m_single_w_time.png") + + # B2 ─ coalition -------------------------------------------------------- + dfc = add_runtime_ms(pd.read_csv(RESULT_DIR / CSV_COAL)) + for k, gk in dfc.groupby("k"): + tbl = (gk.groupby(["rule", "m"]) + .agg(success_pct=("ok", "mean"), runtime_ms=("runtime_ms", "mean")) + .reset_index()) + tbl["success_pct"] *= 100 + stacked_plot(tbl, f"coalition k={k}", + RESULT_DIR / f"success_vs_m_coal_k{k}_w_time.png") + print("Done! (stacked version)") + From 6e9796be76d439a2200e8970af2fdaa00e288473 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Thu, 26 Jun 2025 19:42:36 +0300 Subject: [PATCH 16/23] .. --- experiments/__init__.py | 0 experiments/results/rc_coal.csv | 16201 ---------------- experiments/results/rc_single.csv | 7201 ------- experiments/results/success_vs_m_coal_k2.png | Bin 119398 -> 0 bytes .../results/success_vs_m_coal_k2_w_time.png | Bin 167698 -> 0 bytes experiments/results/success_vs_m_coal_k3.png | Bin 109449 -> 0 bytes .../results/success_vs_m_coal_k3_w_time.png | Bin 164485 -> 0 bytes experiments/results/success_vs_m_coal_k4.png | Bin 105610 -> 0 bytes .../results/success_vs_m_coal_k4_w_time.png | Bin 162756 -> 0 bytes experiments/results/success_vs_m_single.png | Bin 128554 -> 0 bytes .../results/success_vs_m_single_w_time.png | Bin 176285 -> 0 bytes experiments/run_rc_manipulations.py | 165 - .../strategic_voting_algorithms.py | 181 +- 13 files changed, 99 insertions(+), 23649 deletions(-) delete mode 100644 experiments/__init__.py delete mode 100644 experiments/results/rc_coal.csv delete mode 100644 experiments/results/rc_single.csv delete mode 100644 experiments/results/success_vs_m_coal_k2.png delete mode 100644 experiments/results/success_vs_m_coal_k2_w_time.png delete mode 100644 experiments/results/success_vs_m_coal_k3.png delete mode 100644 experiments/results/success_vs_m_coal_k3_w_time.png delete mode 100644 experiments/results/success_vs_m_coal_k4.png delete mode 100644 experiments/results/success_vs_m_coal_k4_w_time.png delete mode 100644 experiments/results/success_vs_m_single.png delete mode 100644 experiments/results/success_vs_m_single_w_time.png delete mode 100644 experiments/run_rc_manipulations.py diff --git a/experiments/__init__.py b/experiments/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/experiments/results/rc_coal.csv b/experiments/results/rc_coal.csv deleted file mode 100644 index 0cdc7356..00000000 --- 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python -m experiments.run_rc_manipulations -Resumes automatically if it crashes: rerun the same command. -""" -# --- imports ----------------------------------------------------------- -from __future__ import annotations -import sys, random, pathlib -from experiments_csv import * - -import pandas as pd -import matplotlib.pyplot as plt - -sys.path.append(str(pathlib.Path(__file__).resolve().parents[1])) - -import experiments_csv -from strategic_voting.strategic_voting_algorithms import ( - borda, make_x_approval, algorithm1_single_voter, algorithm2_coalitional, -) - -# --- configuration ----------------------------------------------------- -RESULT_DIR = pathlib.Path("results") -CSV_SINGLE = "rc_single.csv" -CSV_COAL = "rc_coal.csv" - -RESULT_DIR.mkdir(exist_ok=True) - -N_SEEDS = 50 # number of random instances per grid point -M_VALUES = list(range(3, 9)) # number of candidates (m) -N_TEAM_LIST = list(range(2, 8)) # number of teams (voters) -K_VALUES = [2, 3, 4] # number of coalitions (k) - -# Scoring-rule generators (m is passed at runtime) -RULES = { - "plurality" : lambda m: make_x_approval(1), - "2-approval" : lambda m: make_x_approval(2), - "veto" : lambda m: make_x_approval(m-1), - "borda" : lambda m: borda, -} -# N_SEEDS * len(M_VALUES) * len(N_TEAM_LIST) * len(K_VALUES) * len(RULES) = 100 * 10 * 12 * 4 * 4 = 192,000 instances in total -# N_SEEDS * len(M_VALUES) * len(N_TEAM_LIST) * len(K_VALUES) * len(RULES) = 50 * 7 * 7 * 3 * 4 = 29,400 instances in total - -# ─────────────────────────────────────────────────────────────────────── - -# function that runs ONE experiment instance -def rc_single_trial(m: int, n_team: int, rule: str, seed: int): - random.seed(seed) - cands = [chr(65+i) for i in range(m)] - team = [random.sample(cands, m) for _ in range(n_team)] - opp = random.sample(cands, m) - pref = random.choice(opp) - - ok, _ = algorithm1_single_voter( - RULES[rule](m), # scoring function - team, opp, pref - ) - return { - "ok": ok, "m": m, "n_team": n_team, "rule": rule - } - - -def rc_coalition_trial(m: int, n_team: int, k: int, rule: str, seed: int): - if rule == "borda": # skip borda for coalitions - return None # experiments_csv ignores None rows - random.seed(seed) - cands = [chr(65+i) for i in range(m)] - team = [random.sample(cands, m) for _ in range(n_team)] - opp = random.sample(cands, m) - pref = opp[1] - - ok, _ = algorithm2_coalitional( - RULES[rule](m), team, opp, pref, k - ) - return { - "ok": ok, "m": m, "n_team": n_team, "k": k, "rule": rule - } - -# --- grids ------------------------------------------------------------- -single_grid = { - "m": M_VALUES, - "n_team": N_TEAM_LIST, - "rule": list(RULES.keys()), - "seed": range(N_SEEDS), -} - -coalition_grid = { - "m": M_VALUES, - "n_team": N_TEAM_LIST, - "k": K_VALUES, - "rule": [r for r in RULES if r != "borda"], # veto / plurality / 2-approval - "seed": range(N_SEEDS), -} - -# --- helper: make sure we always have runtime_ms ----------------------- -def add_runtime_ms(df: pd.DataFrame) -> pd.DataFrame: - if "runtime_ms" not in df.columns: - if "runtime" not in df.columns: - raise KeyError("Neither 'runtime_ms' nor 'runtime' found in the CSV") - df = df.copy() - df["runtime_ms"] = df["runtime"] * 1000 # seconds → milliseconds - return df - -# --- launch ------------------------------------------------------------ -if __name__ == "__main__": - plots_only = True # set to True to skip running the trials - # SINGLE-VOTER - if not plots_only: - # SINGLE-VOTER - ex1 = experiments_csv.Experiment(RESULT_DIR, CSV_SINGLE, backup_folder=None) - ex1.clear_previous_results() - ex1.run_with_time_limit(rc_single_trial, single_grid, time_limit=60) - - # COALITION - ex2 = experiments_csv.Experiment(RESULT_DIR, CSV_COAL, backup_folder=None) - ex2.clear_previous_results() - ex2.run_with_time_limit(rc_coalition_trial, coalition_grid, time_limit=60) - - # ---------- PLOTS ---------------------------------------------------- - plt.rcParams["font.size"] = 9 - - - def stacked_plot(tbl, title, fname): - tbl_succ = tbl.pivot(index="m", columns="rule", values="success_pct") - tbl_time = tbl.pivot(index="m", columns="rule", values="runtime_ms") - - fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True, - figsize=(5.5, 5), - gridspec_kw={"height_ratios": [2, 1]}) - - tbl_succ.plot(ax=ax1, marker="o", lw=1.2) - ax1.set(ylabel="success (%)", ylim=(0, 100), title=title) - ax1.legend(ncol=2, fontsize=8, loc="upper center") - - tbl_time.plot(ax=ax2, marker="x", ls="--") - ax2.set(xlabel="candidates m", ylabel="runtime (ms)", yscale="log") - ax2.yaxis.set_major_formatter(lambda v, p: f"{v * 1e3:.0f}") - ax2.grid(axis="y", ls=":", alpha=.3) - ax2.legend().remove() - - fig.tight_layout() - fig.savefig(fname, dpi=300) - plt.close(fig) - - - # B1 ─ single-voter ----------------------------------------------------- - df = add_runtime_ms(pd.read_csv(RESULT_DIR / CSV_SINGLE)) - summ = (df.groupby(["rule", "m"]) - .agg(success_pct=("ok", "mean"), runtime_ms=("runtime_ms", "mean")) - .reset_index()) - summ["success_pct"] *= 100 - stacked_plot(summ, "single voter", - RESULT_DIR / "success_vs_m_single_w_time.png") - - # B2 ─ coalition -------------------------------------------------------- - dfc = add_runtime_ms(pd.read_csv(RESULT_DIR / CSV_COAL)) - for k, gk in dfc.groupby("k"): - tbl = (gk.groupby(["rule", "m"]) - .agg(success_pct=("ok", "mean"), runtime_ms=("runtime_ms", "mean")) - .reset_index()) - tbl["success_pct"] *= 100 - stacked_plot(tbl, f"coalition k={k}", - RESULT_DIR / f"success_vs_m_coal_k{k}_w_time.png") - print("Done! (stacked version)") - diff --git a/strategic_voting/strategic_voting_algorithms.py b/strategic_voting/strategic_voting_algorithms.py index 3b438eae..f7da1660 100644 --- a/strategic_voting/strategic_voting_algorithms.py +++ b/strategic_voting/strategic_voting_algorithms.py @@ -40,6 +40,7 @@ class Profile: # fake placeholder so isinstance() works # WARNING – guards # ERROR – unexpected errors logger = logging.getLogger(__name__) +logging.disable(logging.CRITICAL) # disable all logging by default def _setup_logging(detailed: bool = False) -> None: """ @@ -207,7 +208,7 @@ def _pos(candidate: str, ranking: Sequence[str]) -> int: idx = ranking.index(candidate) result = len(ranking) - 1 - idx - logger.debug(f"[_pos] candidate='{candidate}', index_in_ranking={idx}, returned_position={result}") + logger.debug("[_pos] candidate=%r, index_in_ranking=%d, returned_position=%d",candidate, idx, result) return result def _top_i(ranking: Sequence[str], i: int) -> List[str]: @@ -256,18 +257,14 @@ def _rc_result(pt: Sequence[str], po: Sequence[str]) -> Optional[str]: m = len(pt) for j in range(1, m + 1): inter = set(_top_i(pt, j)) & set(_top_i(po, j)) # intersection of top-j - logger.debug(f"[RC] depth j={j}, pt_top={_top_i(pt, j)}, po_top={_top_i(po, j)}, intersection={sorted(inter)}") - + logger.debug("[RC] depth j=%d, pt_top=%s, po_top=%s, intersection=%s",j, _top_i(pt, j), _top_i(po, j), sorted(inter)) if inter: if len(inter) == 1: winner = next(iter(inter)) # the set has exactly one element, get it - logger.info(f"[RC] singleton intersection at j={j} ⇒ returning '{winner}'") + logger.info("[RC] singleton intersection at j=%d ⇒ returning %r", j, winner) return winner else: - logger.info( - "[RC] intersection at j=%d is not singleton (%d items: %s) ⇒ returning None", - j, len(inter), sorted(inter) - ) + logger.info("[RC] intersection at j=%d is not singleton (%d items: %s) ⇒ returning None",j, len(inter), sorted(inter)) return None logger.debug("[RC] no intersection found at any depth ⇒ returning None") @@ -301,14 +298,20 @@ def _compute_Hi( Hᵢ = {preferred} ∪ (i-1 best in pt not in Aᵢ(po)), keeping pt order. Aᵢ(po) = top-i candidates in po (opponent) order. - >>> _compute_Hi("p", 2, [["p", "c", "a", "b"],["p", "b", "a", "c"],["b", "p", "a", "c"],["b", "a", "c", "p"],], ["b", "p", "a", "c"]) - ['p','a'] + >>> team_profile = [ + ... ["p", "c", "a", "b"], + ... ["p", "b", "a", "c"], + ... ["b", "p", "a", "c"], + ... ["b", "a", "c", "p"], + ... ] + >>> pt = borda(team_profile) + >>> _compute_Hi("p", 2, pt, ["b", "p", "a", "c"]) + ['p', 'a'] """ Ai_po: Set[str] = set(_top_i(opponent_order, i)) - logger.debug(f"[_compute_Hi] i={i}, opponent_top_i={sorted(Ai_po)}") - + logger.debug("[_compute_Hi] i=%d, opponent_top_i=%s", i, sorted(Ai_po)) H: List[str] = [preferred] - logger.debug(f"[_compute_Hi] initially H = {H}") + logger.debug("[_compute_Hi] initially H = %s", H) for c in pt: if len(H) == i: # already have i candidates @@ -316,9 +319,9 @@ def _compute_Hi( if c != preferred and c not in Ai_po: # not in opponent's top-i H.append(c) - logger.debug(f"[_compute_Hi] adding '{c}' to H (size now {len(H)})") + logger.debug("[_compute_Hi] adding %r to H (size now %d)", c, len(H)) - logger.debug(f"[_compute_Hi] final H_i = {H} for preferred='{preferred}' and i={i}") + logger.debug("[_compute_Hi] final H_i = %s for preferred=%r and i=%d", H, preferred, i) return H def check_validation(opp: List[str], preferred: str, m: int) -> bool: @@ -352,8 +355,7 @@ def check_validation(opp: List[str], preferred: str, m: int) -> bool: pos_val = _pos(preferred, opp) threshold = math.ceil(m / 2) - logger.debug(f"[check_validation] preferred='{preferred}', " - f"pos_val={pos_val}, threshold={threshold}, m={m}") + logger.debug("[check_validation] preferred=%r, pos_val=%d, threshold=%d, m=%d",preferred, pos_val, threshold, m) if pos_val < threshold: logger.warning("Preferred candidate ranked too low by opponent – manipulation impossible.") @@ -399,9 +401,9 @@ def algorithm1_single_voter( team_profile = _explode_profile(team_profile) logger.info("\n[Alg-1] =========================================================") - logger.info(f"[Alg-1] opponent order : {opponent_order}") - logger.info(f"[Alg-1] preferred : '{preferred}'") - logger.info(f"[Alg-1] team profile ({len(team_profile)} voters): {team_profile}") + logger.info("[Alg-1] opponent order : %s", opponent_order) + logger.info("[Alg-1] preferred : %r", preferred) + logger.info("[Alg-1] team profile (%d voters): %s", len(team_profile), team_profile) m = len(opponent_order) if not check_validation(opponent_order, preferred, m): @@ -410,14 +412,14 @@ def algorithm1_single_voter( # SWF order of the honest team pt = F(team_profile) - logger.info(f"[Alg-1] SWF order (pt) : {pt}") + logger.info("[Alg-1] SWF order (pt) : %s", pt) # iterate i = 1 … ⌈m/2⌉ for i in range(1, math.ceil(m / 2) + 1): - logger.info(f"\n[Alg-1] ----- depth i = {i} -----") + logger.info("\n[Alg-1] ----- depth i = %d -----", i) Hi = _compute_Hi(preferred, i, pt, opponent_order) - logger.info(f"[Alg-1] H_i = {Hi} (size {len(Hi)} vs required {i})") + logger.info("[Alg-1] H_i = %s (size %d vs required %d)", Hi, len(Hi), i) if len(Hi) < i: logger.info("[Alg-1] › not enough candidates – skip depth") continue @@ -427,9 +429,9 @@ def algorithm1_single_voter( lo_block = list(reversed([c for c in pt if c not in Hi])) pa = hi_block + lo_block - logger.info(f"[Alg-1] hi_block = {hi_block}") - logger.info(f"[Alg-1] lo_block = {lo_block}") - logger.info(f"[Alg-1] ballot (pa) = {pa}") + logger.info("[Alg-1] hi_block = %s", hi_block) + logger.info("[Alg-1] lo_block = %s", lo_block) + logger.info("[Alg-1] ballot (pa) = %s", pa) # test if ‘preferred’ becomes the unique RC winner rc = _rc_result(F(team_profile + [pa]), opponent_order) @@ -475,6 +477,10 @@ def algorithm2_coalitional( (False, None) >>> algorithm2_coalitional(borda, [["p", "d", "a", "b", "c", "e"],["a", "p", "b", "c", "d", "e"],["b", "c", "a", "p", "d", "e"],], ["a", "p", "b", "c", "d", "e"], "p", k=2) (True, [['p', 'e', 'd', 'c', 'b', 'a'], ['p', 'e', 'd', 'c', 'b', 'a']]) + + # Example from the paper + >>> algorithm2_coalitional(borda, [["c", "a", "p", "b"],["a", "b", "c", "p"],["a", "b", "c", "p"],["a", "b", "p", "c"],], ["p", "b", "a", "c"], "p", k=2) + (True, [['p', 'a', 'c', 'b'], ['p', 'a', 'c', 'b']]) """ if k <= 0: logger.warning("[Alg-2] k=0 manipulators – impossible by definition") @@ -484,66 +490,77 @@ def algorithm2_coalitional( return False, None team_profile = _explode_profile(team_profile) - - logger.info("\n[Alg-2] =========================================================") - logger.info(f"[Alg-2] opponent order : {opponent_order}") - logger.info(f"[Alg-2] preferred : '{preferred}'") - logger.info(f"[Alg-2] team profile ({len(team_profile)} voters): {team_profile}") - logger.info(f"[Alg-2] coalition size k = {k}") - # ── 0 guards ───────────────────────────────────────────────────────── - m = len(opponent_order) + if not check_validation(opponent_order, preferred, m): logger.warning("[Alg-2] opponent ranks 'p' too low ⇒ manipulation impossible") return False, None - # ── SWF order of the honest team ─────────────────────────────────── - pt = F(team_profile) - logger.info("\n[Alg-2] =========================================================") - logger.info(f"[Alg-2] SWF order before coalition: {pt}") - - # ── iterate depths i = 1 … ⌈m/2⌉ ────────────────────────────────── - for i in range(1, math.ceil(m / 2) + 1): - logger.info(f"\n[Alg-2] ===== depth i = {i} =====") - - Hi = _compute_Hi(preferred, i, pt, opponent_order) - logger.info(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") - if len(Hi) < i: - logger.info("[Alg-2] › not enough candidates – skip depth") - continue + first_round = True + while True: + logger.info("\n[Alg-2] =========================================================") + logger.info(f"[Alg-2] opponent order : {opponent_order}") + logger.info(f"[Alg-2] preferred : '{preferred}'") + logger.info(f"[Alg-2] team profile ({len(team_profile)} voters): {team_profile}") + logger.info(f"[Alg-2] coalition size k = {k}") + + # ── SWF order of the honest team ─────────────────────────────────── + pt = F(team_profile) + logger.info(f"[Alg-2] SWF order before coalition: {pt}") + + # ── iterate depths i = 1 … ⌈m/2⌉ ────────────────────────────────── + for i in range(1, math.ceil(m / 2) + 1): + logger.info(f"\n[Alg-2] ===== depth i = {i} =====") + Hi = _compute_Hi(preferred, i, pt, opponent_order) + logger.info(f"[Alg-2] H_i = {Hi} (size {len(Hi)} vs required {i})") + if len(Hi) < i: + logger.info("[Alg-2] › not enough candidates – skip depth") + continue + + pm: List[List[str]] = [] + + # ── construct ballots l = 1 … k with the *same* Hᵢ ──────────── + for l in range(1, k + 1): + cur_pt = F(team_profile + pm) + logger.info(f"[Alg-2] manipulator #{l} sees SWF: {cur_pt}") + + # top block (Hᵢ) – place the least-preferred first (rev order) + hi_block = list(reversed([c for c in cur_pt if c in Hi])) + # bottom block (O\Hᵢ) – place the most-preferred first + lo_block = list(reversed([c for c in cur_pt if c not in Hi])) + + pa = hi_block + lo_block + pm.append(pa) + + logger.info(f"[Alg-2] manipulator #{l} ballot = {pa}") + + if _rc_result(F(team_profile + pm), opponent_order) == preferred: + # ---------- second-round success notice (Borda only) ---------- + if not first_round: # we are in the k+1 retry + logger.warning( + "[Alg-2] ℹ️ k failed but k+1 succeeded – cannot be sure whether the original k was truly insufficient.") + logger.info("[Alg-2] ✅ success – coalition found") + return True, pm + + logger.info("[Alg-2] ✘ depth failed – trying next i") + + # =========== B O R D A k → k+1 fallback ==================== + if first_round and F.__name__ == "borda": + logger.info("[Alg-2] k=%d failed under Borda – retrying with k+1.", k) + first_round = False # second (and last) pass + k += 1 + continue # rerun the while-loop once + # =========== end of Borda fallback ============================ + + # reached only if first round failed and either: + # – it wasn’t Borda, or + # – Borda fallback also failed + if not first_round: # we **did** try k+1 and still failed + logger.info("[Alg-2] ❌ k+1 also failed – logged for reference.") + else: # non-Borda rule failed once + logger.info("[Alg-2] ❌ no successful coalition manipulation found") - pm: List[List[str]] = [] - - # ── construct ballots l = 1 … k with the *same* Hᵢ ──────────── - for l in range(1, k + 1): - cur_pt = F(team_profile + pm) - logger.info(f"[Alg-2] manipulator #{l} sees SWF: {cur_pt}") - - # top block (Hᵢ) – place the least-preferred first (rev order) - hi_block = list(reversed([c for c in cur_pt if c in Hi])) - - # bottom block (O\Hᵢ) – place the most-preferred first - lo_block = list(reversed([c for c in cur_pt if c not in Hi])) - - pa = hi_block + lo_block - pm.append(pa) - - logger.info(f"[Alg-2] ballot = {pa}") - logger.info(f"[Alg-2] hi_block = {hi_block}") - logger.info(f"[Alg-2] lo_block = {lo_block}") - - # ── 4 evaluate RC after the whole coalition is in ─────────────── - rc_outcome = _rc_result(F(team_profile + pm), opponent_order) - logger.debug(f"[Alg-2] RC outcome with coalition = {rc_outcome}") - - if rc_outcome == preferred: - logger.info("[Alg-2] ✅ success – coalition found") - return True, pm - - logger.info("[Alg-2] ✘ depth failed – trying next i") - - logger.info("\n[Alg-2] ❌ no successful coalition manipulation found") - return False, None + return False, None # ───────────────────────────── demo harness ────────────────────────────── @@ -581,7 +598,7 @@ def main() -> None: logger.info(f"Manipulative ballot : {ballot_1}") else: logger.info("Manipulation impossible under this profile.") - # ------------------------------------------------------------------ +""" # ------------------------------------------------------------------ # 1-B. SAME EXAMPLE, Profile BUILT *AS IN* pref_voting DOCS (integers) # ------------------------------------------------------------------ logger.info("\n===== DEMO 1-B: C-MaNego with canonical integer Profile =====") @@ -639,7 +656,7 @@ def main() -> None: for idx, b in enumerate(ballots_2, 1): logger.info(f"Manipulator #{idx} ballot : {b}") else: - logger.info("Coalitional manipulation impossible under this profile.") + logger.info("Coalitional manipulation impossible under this profile.")""" # ------------------------------------------------------------------------- From 59548f446cd2e0b376d640d2383ee7ea5852b915 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Thu, 26 Jun 2025 19:58:42 +0300 Subject: [PATCH 17/23] .. --- strategic_voting/strategic_voting_algorithms.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/strategic_voting/strategic_voting_algorithms.py b/strategic_voting/strategic_voting_algorithms.py index f7da1660..51c2f4d0 100644 --- a/strategic_voting/strategic_voting_algorithms.py +++ b/strategic_voting/strategic_voting_algorithms.py @@ -661,4 +661,4 @@ def main() -> None: # ------------------------------------------------------------------------- if __name__ == "__main__": - main() + main() \ No newline at end of file From b991e58e36c50dfe931fa414088263b834e07d31 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Thu, 26 Jun 2025 20:05:31 +0300 Subject: [PATCH 18/23] .. --- experiments/__init__.py | 0 experiments/ass_8.pdf | Bin 0 -> 134839 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 experiments/__init__.py create mode 100644 experiments/ass_8.pdf diff --git a/experiments/__init__.py b/experiments/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/experiments/ass_8.pdf b/experiments/ass_8.pdf new file mode 100644 index 0000000000000000000000000000000000000000..d4ba4609de37234860499df01fc04451188f72f9 GIT binary patch literal 134839 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zJYtayD&rT+h*0P*u1$#$jK%d45ySzD>n#$rj27o>B3|t&vOd^Lm(|a%YYIU09b@=VR=9~@Xu{Q0s!j|B!i3VX#gZ+ zf2=P#ESi-yoyE@!-NEqvkP!S|KNn`Z$_aPPEWNsHmGlYgBgw^{AKum09|PregFUf From 118b77fec1e7ce9b7123d84a945e4bc59038eaf1 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Thu, 26 Jun 2025 20:08:53 +0300 Subject: [PATCH 20/23] Ignore experiments/ on main --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index cd12f255..1b027199 100644 --- a/.gitignore +++ b/.gitignore @@ -172,3 +172,4 @@ docs/.DS_Store .DS_Store docs/.DS_Store docs/.DS_Store +"experiments/" From 77bc5d8b8a3fcd22b21988bff6dc0a714108f607 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Fri, 27 Jun 2025 01:07:30 +0300 Subject: [PATCH 21/23] .. --- .gitignore | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 1b027199..83f5b65d 100644 --- a/.gitignore +++ b/.gitignore @@ -171,5 +171,4 @@ docs/.DS_Store .DS_Store .DS_Store docs/.DS_Store -docs/.DS_Store -"experiments/" +docs/.DS_Store \ No newline at end of file From 235e788168189f4beeb0a956a1d31c896faf05b4 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Fri, 27 Jun 2025 01:12:59 +0300 Subject: [PATCH 22/23] Remove IDE settings from repo --- .idea/.gitignore | 8 -------- .idea/inspectionProfiles/profiles_settings.xml | 6 ------ .idea/misc.xml | 7 ------- .idea/modules.xml | 8 -------- .idea/pref_voting.iml | 15 --------------- .idea/vcs.xml | 6 ------ 6 files changed, 50 deletions(-) delete mode 100644 .idea/.gitignore delete mode 100644 .idea/inspectionProfiles/profiles_settings.xml delete mode 100644 .idea/misc.xml delete mode 100644 .idea/modules.xml delete mode 100644 .idea/pref_voting.iml delete mode 100644 .idea/vcs.xml diff --git a/.idea/.gitignore b/.idea/.gitignore deleted file mode 100644 index 13566b81..00000000 --- a/.idea/.gitignore +++ /dev/null @@ -1,8 +0,0 @@ -# Default ignored files -/shelf/ -/workspace.xml -# Editor-based HTTP Client requests -/httpRequests/ -# Datasource local storage ignored files -/dataSources/ -/dataSources.local.xml diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml deleted file mode 100644 index 105ce2da..00000000 --- a/.idea/inspectionProfiles/profiles_settings.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml deleted file mode 100644 index db8786c0..00000000 --- a/.idea/misc.xml +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml deleted file mode 100644 index 0b0f3f15..00000000 --- a/.idea/modules.xml +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/.idea/pref_voting.iml b/.idea/pref_voting.iml deleted file mode 100644 index a2a889b2..00000000 --- a/.idea/pref_voting.iml +++ /dev/null @@ -1,15 +0,0 @@ - - - - - - - - - - - - \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml deleted file mode 100644 index 35eb1ddf..00000000 --- a/.idea/vcs.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - - - \ No newline at end of file From a23b29195db997850707e63afe7466107eef7f43 Mon Sep 17 00:00:00 2001 From: elyasafko Date: Fri, 27 Jun 2025 01:13:31 +0300 Subject: [PATCH 23/23] .. --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 83f5b65d..8d7b32de 100644 --- a/.gitignore +++ b/.gitignore @@ -159,7 +159,7 @@ cython_debug/ # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ +.idea/ .DS_Store docs/.DS_Store .DS_Store

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