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Enable ruff rules to check for ambiguous code

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This enables some ruff rules to check for ambiguous and dead Python
code, which might cause unintended side-effects.

The enabled rules are:

- a bunch of rules related to shadowing of builtin structures (A)
- a bunch of rules checking for unused arguments (ARG)
- a rule checking for useless expressions (B018)
- a rule checking for unbound loop variables (B023)
- a rule checking redefined function parameters (PLR1704)
This commit is contained in:
Dunedan
2024-08-27 19:28:11 +02:00
parent ee3318309b
commit ea647067f0
14 changed files with 55 additions and 64 deletions
Download Patch File Download Diff File Expand all files Collapse all files
source/tools/rlclient/python/tests/test_actions.py
+13 -13
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@@ -33,23 +33,23 @@ def closest(units, position):
def test_construct():
state = game.reset(config)
female_citizens = state.units(owner=1, type="female_citizen")
female_citizens = state.units(owner=1, entity_type="female_citizen")
house_tpl = "structures/spart/house"
house_count = len(state.units(owner=1, type=house_tpl))
house_count = len(state.units(owner=1, entity_type=house_tpl))
x = 680
z = 640
build_house = zero_ad.actions.construct(female_citizens, house_tpl, x, z, autocontinue=True)
# Check that they start building the house
state = game.step([build_house])
while len(state.units(owner=1, type=house_tpl)) == house_count:
while len(state.units(owner=1, entity_type=house_tpl)) == house_count:
state = game.step()
def test_gather():
state = game.reset(config)
female_citizen = state.units(owner=1, type="female_citizen")[0]
state.units(owner=0, type="tree")
nearby_tree = closest(state.units(owner=0, type="tree"), female_citizen.position())
female_citizen = state.units(owner=1, entity_type="female_citizen")[0]
state.units(owner=0, entity_type="tree")
nearby_tree = closest(state.units(owner=0, entity_type="tree"), female_citizen.position())
collect_wood = zero_ad.actions.gather([female_citizen], nearby_tree)
state = game.step([collect_wood])
@@ -59,19 +59,19 @@ def test_gather():
def test_train():
state = game.reset(config)
civic_centers = state.units(owner=1, type="civil_centre")
civic_centers = state.units(owner=1, entity_type="civil_centre")
spearman_type = "units/spart/infantry_spearman_b"
spearman_count = len(state.units(owner=1, type=spearman_type))
spearman_count = len(state.units(owner=1, entity_type=spearman_type))
train_spearmen = zero_ad.actions.train(civic_centers, spearman_type)
state = game.step([train_spearmen])
while len(state.units(owner=1, type=spearman_type)) == spearman_count:
while len(state.units(owner=1, entity_type=spearman_type)) == spearman_count:
state = game.step()
def test_walk():
state = game.reset(config)
female_citizens = state.units(owner=1, type="female_citizen")
female_citizens = state.units(owner=1, entity_type="female_citizen")
x = 680
z = 640
initial_distance = dist(center(female_citizens), [x, z])
@@ -81,14 +81,14 @@ def test_walk():
distance = initial_distance
while distance >= initial_distance:
state = game.step()
female_citizens = state.units(owner=1, type="female_citizen")
female_citizens = state.units(owner=1, entity_type="female_citizen")
distance = dist(center(female_citizens), [x, z])
def test_attack():
state = game.reset(config)
unit = state.units(owner=1, type="cavalry")[0]
target = state.units(owner=2, type="female_citizen")[0]
unit = state.units(owner=1, entity_type="cavalry")[0]
target = state.units(owner=2, entity_type="female_citizen")[0]
initial_health_target = target.health()
initial_health_unit = unit.health()