def test_per_from_state_wrong_batch_size():
# Assign
buffer = NStepBuffer(n_steps=5, gamma=1.)
state = buffer.get_state()
state.batch_size = 5
# Act
with pytest.raises(ValueError):
NStepBuffer.from_state(state=state)
def test_per_from_state_wrong_type():
# Assign
buffer = NStepBuffer(n_steps=5, gamma=1.)
state = buffer.get_state()
state.type = "WrongType"
# Act
with pytest.raises(ValueError):
NStepBuffer.from_state(state=state)
def from_state(state: BufferState) -> BufferBase:
if state.type == ReplayBuffer.type:
return ReplayBuffer.from_state(state)
elif state.type == PERBuffer.type:
return PERBuffer.from_state(state)
elif state.type == NStepBuffer.type:
return NStepBuffer.from_state(state)
elif state.type == RolloutBuffer.type:
return RolloutBuffer.from_state(state)
else:
raise ValueError(f"Buffer state contains unsupported buffer type: '{state.type}'")
def test_nstep_buffer_from_state_without_data():
# Assign
buffer_size, gamma = 5, 0.9
buffer = NStepBuffer(n_steps=buffer_size, gamma=gamma)
state = buffer.get_state()
# Act
new_buffer = NStepBuffer.from_state(state)
# Assert
assert new_buffer.type == NStepBuffer.type
assert new_buffer.gamma == gamma
assert new_buffer.buffer_size == state.buffer_size == buffer.n_steps
assert new_buffer.batch_size == state.batch_size == buffer.batch_size == 1
assert len(new_buffer.data) == 0
def test_nstep_buffer_from_state_with_data():
# Assign
buffer_size = 5
buffer = NStepBuffer(n_steps=buffer_size, gamma=1.)
buffer = populate_buffer(buffer, 10) # in-place
last_samples = [
sars for sars in generate_sample_SARS(buffer_size, dict_type=True)
]
for sample in last_samples:
buffer.add(**sample)
state = buffer.get_state()
# Act
new_buffer = NStepBuffer.from_state(state)
# Assert
assert new_buffer.type == NStepBuffer.type
assert new_buffer.buffer_size == state.buffer_size == buffer.n_steps
assert new_buffer.batch_size == state.batch_size == buffer.batch_size == 1
assert len(new_buffer.data) == state.buffer_size
for sample in last_samples:
assert Experience(**sample) in new_buffer.data