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Merged
copybara-service merged 1 commit into from
Sep 28, 2026
Merged

Automated Code Change #41

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8 changes: 4 additions & 4 deletions iris/normalizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -148,7 +148,7 @@ def __call__(
action = utils.flatten(self._space, action)
action = (action * self._state["half_range"]) + self._state["mid"]
action = utils.unflatten(self._space, action)
action = self._add_ignored_input(action, ignored_action)
action = self._add_ignored_input(action, ignored_action) # pyrefly: ignore[bad-argument-type]
return action


Expand Down Expand Up @@ -189,7 +189,7 @@ def __call__(
observation = utils.flatten(self._space, observation)
observation = (observation - self._state["mid"]) / self._state["half_range"]
observation = utils.unflatten(self._space, observation)
observation = self._add_ignored_input(observation, ignored_observation)
observation = self._add_ignored_input(observation, ignored_observation) # pyrefly: ignore[bad-argument-type]
return observation


Expand Down Expand Up @@ -218,11 +218,11 @@ def __call__(
ignored_observation = self._filter_ignored_input(observation) # pyrefly: ignore[bad-argument-type]
observation = utils.flatten(self._space, observation)
if update_buffer:
self._buffer.push(observation)
self._buffer.push(observation) # pyrefly: ignore[bad-argument-type]
observation -= self._state[buffer.MEAN]
observation /= self._state[buffer.STD] + _EPSILON
observation = utils.unflatten(self._space, observation)
observation = self._add_ignored_input(observation, ignored_observation)
observation = self._add_ignored_input(observation, ignored_observation) # pyrefly: ignore[bad-argument-type]
return observation


Expand Down
2 changes: 1 addition & 1 deletion iris/policies/implicit_policy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -562,6 +562,6 @@ def act(
The actions in reinforcement learning.
"""
ob = utils.flatten(self._ob_space, ob)
action = self._action_calculator.act(ob)
action = self._action_calculator.act(ob) # pyrefly: ignore[bad-argument-type]
action = utils.unflatten(self._ac_space, action)
return action
2 changes: 1 addition & 1 deletion iris/policies/linear_policy.py
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Expand Up @@ -51,6 +51,6 @@ def act(self, ob: Union[np.ndarray, Dict[str, np.ndarray]]
"""
ob = utils.flatten(self._ob_space, ob)
matrix_weights = np.reshape(self._weights, (self._ac_dim, self._ob_dim))
actions = self._activation(np.dot(matrix_weights, ob)) # pyrefly: ignore[not-callable]
actions = self._activation(np.dot(matrix_weights, ob)) # pyrefly: ignore[no-matching-overload, not-callable]
actions = utils.unflatten(self._ac_space, actions)
return actions
2 changes: 1 addition & 1 deletion iris/policies/nas_policy.py
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Expand Up @@ -82,7 +82,7 @@ def act(
ob = utils.flatten(self._ob_space, ob)
values = [0.0] * self._total_nb_nodes
for i in range(self._ob_dim):
values[i] = ob[i]
values[i] = ob[i] # pyrefly: ignore[bad-index]
for i in range(self._total_nb_nodes):
if (i > self._ob_dim) and (i < self._total_nb_nodes - self._ac_dim):
values[i] = np.tanh(values[i] + self._biases[i])
Expand Down
2 changes: 1 addition & 1 deletion iris/policies/nn_policy.py
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Expand Up @@ -70,7 +70,7 @@ def act(self, ob: Union[np.ndarray, Dict[str, np.ndarray]]
mat_weight = np.reshape(
self._weights[start:end],
(self._layer_sizes[ith_layer + 1], self._layer_sizes[ith_layer]))
ith_layer_result = np.dot(mat_weight, ith_layer_result)
ith_layer_result = np.dot(mat_weight, ith_layer_result) # pyrefly: ignore[no-matching-overload]
ith_layer_result = self._activation(ith_layer_result) # pyrefly: ignore[not-callable]
actions = ith_layer_result
actions = utils.unflatten(self._ac_space, actions)
Expand Down
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