Files
lerobot-clone/src/lerobot/processor/core.py
Steven Palma e489ba24fc feat(dependencies): require Python 3.12+ as minimum version (#3023)
* feat(dependecies): upgrade to python3.12

* fix(test): processor regex message

* fix(test): processor regex message

* fix(dependecies): resolve all tags in python 3.12

* fix(dependecies): add more hints to faster resolve

* chore(dependecies): remove cli tag huggingface-hub dep

* refactor(policy): update eagle for python3.12

* chore(docs): update policy creation for python 3.12

* chore(test): skip failing tests in macos
2026-03-06 10:15:13 +01:00

57 lines
1.7 KiB
Python

#!/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
from enum import Enum
from typing import Any, TypedDict
import numpy as np
import torch
class TransitionKey(str, Enum):
"""Keys for accessing EnvTransition dictionary components."""
# TODO(Steven): Use consts
OBSERVATION = "observation"
ACTION = "action"
REWARD = "reward"
DONE = "done"
TRUNCATED = "truncated"
INFO = "info"
COMPLEMENTARY_DATA = "complementary_data"
PolicyAction = torch.Tensor
RobotAction = dict[str, Any]
EnvAction = np.ndarray
RobotObservation = dict[str, Any]
EnvTransition = TypedDict(
"EnvTransition",
{
TransitionKey.OBSERVATION.value: RobotObservation | None,
TransitionKey.ACTION.value: PolicyAction | RobotAction | EnvAction | None,
TransitionKey.REWARD.value: float | torch.Tensor | None,
TransitionKey.DONE.value: bool | torch.Tensor | None,
TransitionKey.TRUNCATED.value: bool | torch.Tensor | None,
TransitionKey.INFO.value: dict[str, Any] | None,
TransitionKey.COMPLEMENTARY_DATA.value: dict[str, Any] | None,
},
)