b1k / task01_picking_up_trash /code /tests /test_contract.py
davidwdw's picture
Upload Task 00, Task 01 and Task 02 code, datasets and evaluation results (part 20)
9befad5 verified
Raw History Blame Contribute Delete
4.59 kB
import json
import io
from pathlib import Path
import sys
import msgpack
import numpy as np
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from gpt6_b1k.recording import sensor_only
from gpt6_b1k.server import pack, unpack
from gpt6_b1k.policy import TrashPolicy
from gpt6_b1k.perception import held_can_evidence, refine_can
from gpt6_b1k.motion import SkillFailure
from run import summarize
def test_privileged_fields_do_not_enter_policy_observations():
raw = {'robot::proprio': np.zeros(61), 'robot::head::rgb': np.zeros((4, 4, 3)),
'robot::head::depth_linear': np.ones((4, 4)),
'robot::head::seg_instance': np.ones((4, 4)), 'object_poses': {'can': [1, 2, 3]},
'robot_global_pose': [0, 0, 0], 'q_score': 1.0}
assert set(sensor_only(raw)) == {'robot::proprio', 'robot::head::rgb', 'robot::head::depth_linear'}
def test_official_wire_arrays_roundtrip():
arrays = {'action': np.arange(23, dtype=np.float32), 'rgb': np.ones((3, 4, 3), dtype=np.uint8)}
result = msgpack.unpackb(msgpack.packb(arrays, default=pack), object_hook=unpack, strict_map_key=False)
for name, value in arrays.items():
np.testing.assert_array_equal(result[name], value)
assert result[name].dtype == value.dtype
def test_reset_clears_episode_memory():
policy = TrashPolicy(io.StringIO())
policy.objects = [dict(done=True)]
policy.odom.pose[:] = 3
policy.gripper = -1
policy.reset()
assert policy.objects == [] and policy.gripper == 1
np.testing.assert_array_equal(policy.odom.pose, np.zeros(3))
def test_open_gripper_is_not_mistaken_for_carried_can():
from types import SimpleNamespace
p = np.zeros(61)
p[49:51] = .05
assert held_can_evidence(SimpleNamespace(p=p)) == (False, 0)
def test_physical_skill_failure_keeps_evaluation_actions_valid():
p = np.zeros(61)
p[23] = p[48] = 1 # Valid end-effector quaternions.
raw = {'robot::proprio': p}
for camera in ('zed', 'left_realsense', 'right_realsense'):
prefix = f'robot:{camera}_link:Camera:0::'
raw[prefix+'rgb'] = np.zeros((16, 16, 3), dtype=np.uint8)
raw[prefix+'depth_linear'] = np.ones((16, 16), dtype=np.float32)
policy = TrashPolicy(io.StringIO())
policy.gripper = -1
def blocked_motion():
raise SkillFailure('Physical execution blocked')
yield
policy.generator = blocked_motion()
for _ in range(2):
action = policy.predict(raw)
assert action.shape == (23,) and np.isfinite(action).all()
assert action[22] == -1
assert policy.phase == 'unresolved_motion'
def test_wrist_refinement_accepts_a_silver_can_lid():
from types import SimpleNamespace
x, y = np.meshgrid(np.linspace(.70, .77, 20), np.linspace(-.34, -.27, 20))
cloud = np.stack((x, y, np.full_like(x, .12)), -1)
# No RGB supplied: semantic identity was established in the preceding head
# view, and the silver lid is refined from the local observed depth surface.
d = refine_can(SimpleNamespace(cloud=lambda camera: cloud), [.735, -.305, .07])
assert d is not None
np.testing.assert_allclose(d.center[:2], [.735, -.305], atol=.001)
def test_short_or_partial_runs_cannot_claim_goal(tmp_path):
(tmp_path/'manifest.json').write_text(json.dumps(dict(indices=list(range(20)), instance_ids=list(range(301,321)), diagnostic=True)))
out = tmp_path/'instance_301/evaluation/json'
out.mkdir(parents=True)
(out/'picking_up_trash_301_0.json').write_text(json.dumps(dict(instance_id=301, q_score={'final':1.}, success=True, steps=1)))
summarize(tmp_path)
result = json.loads((tmp_path/'summary.json').read_text())
assert result['completed'] == 1
assert not result['complete'] and not result['target_achieved']
def test_complete_score_must_be_strictly_above_threshold(tmp_path):
(tmp_path/'manifest.json').write_text(json.dumps(dict(indices=list(range(20)), instance_ids=list(range(301,321)), diagnostic=False)))
out = tmp_path/'batch_000/evaluation/json'
out.mkdir(parents=True)
for i in range(301,321):
(out/f'{i}.json').write_text(json.dumps(dict(instance_id=i, q_score={'final': .7}, success=False, steps=1)))
summarize(tmp_path)
result = json.loads((tmp_path/'summary.json').read_text())
assert result['complete'] and not result['target_achieved']
(out/'301.json').write_text(json.dumps(dict(instance_id=301, q_score={'final':1.}, success=True, steps=1)))
summarize(tmp_path)
assert json.loads((tmp_path/'summary.json').read_text())['target_achieved']