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feat(processor): enhance type safety with generic DataProcessorPipeline for policy and robot pipelines (#1915)
* refactor(processor): enhance type annotations for processors in record, replay, teleoperate, and control utils - Updated type annotations for preprocessor and postprocessor parameters in record_loop and predict_action functions to specify the expected dictionary types. - Adjusted robot_action_processor type in ReplayConfig and TeleoperateConfig to improve clarity and maintainability. - Ensured consistency in type definitions across multiple files, enhancing overall code readability. * refactor(processor): enhance type annotations for RobotProcessorPipeline in various files - Updated type annotations for RobotProcessorPipeline instances in evaluate.py, record.py, replay.py, teleoperate.py, and other related files to specify input and output types more clearly. - Introduced new type conversions for PolicyAction and EnvTransition to improve type safety and maintainability across the processing pipelines. - Ensured consistency in type definitions, enhancing overall code readability and reducing potential runtime errors. * refactor(processor): update transition handling in processors to use transition_to_batch - Replaced direct transition handling with transition_to_batch in various processor tests and implementations to ensure consistent batching of input data. - Updated assertions in tests to reflect changes in data structure, enhancing clarity and maintainability. - Improved overall code readability by standardizing the way transitions are processed across different processor types. * refactor(tests): standardize transition key usage in processor tests - Updated assertions in processor test files to utilize the TransitionKey for action references, enhancing consistency across tests. - Replaced direct string references with TransitionKey constants for improved readability and maintainability. - Ensured that all relevant tests reflect these changes, contributing to a more uniform approach in handling transitions.
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@@ -21,6 +21,7 @@ from lerobot.datasets.lerobot_dataset import LeRobotDataset
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from lerobot.model.kinematics import RobotKinematics
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from lerobot.processor import RobotProcessorPipeline
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from lerobot.processor.converters import robot_action_to_transition, transition_to_robot_action
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from lerobot.processor.core import RobotAction
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from lerobot.robots.so100_follower.config_so100_follower import SO100FollowerConfig
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from lerobot.robots.so100_follower.robot_kinematic_processor import (
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AddRobotObservationAsComplimentaryData,
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@@ -50,7 +51,7 @@ kinematics_solver = RobotKinematics(
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)
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# Build pipeline to convert ee pose action to joint action
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robot_ee_to_joints_processor = RobotProcessorPipeline(
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robot_ee_to_joints_processor = RobotProcessorPipeline[RobotAction, RobotAction](
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steps=[
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AddRobotObservationAsComplimentaryData(robot=robot),
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InverseKinematicsEEToJoints(
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