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Update pre-commit-config.yaml + pyproject.toml + ceil rerun & transformer dependencies version (#1520)
* chore: update .gitignore * chore: update pre-commit * chore(deps): update pyproject * fix(ci): multiple fixes * chore: pre-commit apply * chore: address review comments * Update pyproject.toml Co-authored-by: Ben Zhang <5977478+ben-z@users.noreply.github.com> Signed-off-by: Steven Palma <imstevenpmwork@ieee.org> * chore(deps): add todo --------- Signed-off-by: Steven Palma <imstevenpmwork@ieee.org> Co-authored-by: Ben Zhang <5977478+ben-z@users.noreply.github.com>
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@@ -14,7 +14,7 @@
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import abc
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from dataclasses import dataclass, field
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from typing import Any, Optional
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from typing import Any
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import draccus
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@@ -179,10 +179,10 @@ class EnvTransformConfig:
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add_joint_velocity_to_observation: bool = False
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add_current_to_observation: bool = False
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add_ee_pose_to_observation: bool = False
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crop_params_dict: Optional[dict[str, tuple[int, int, int, int]]] = None
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resize_size: Optional[tuple[int, int]] = None
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crop_params_dict: dict[str, tuple[int, int, int, int]] | None = None
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resize_size: tuple[int, int] | None = None
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control_time_s: float = 20.0
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fixed_reset_joint_positions: Optional[Any] = None
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fixed_reset_joint_positions: Any | None = None
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reset_time_s: float = 5.0
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use_gripper: bool = True
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gripper_quantization_threshold: float | None = 0.8
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@@ -195,21 +195,21 @@ class EnvTransformConfig:
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class HILSerlRobotEnvConfig(EnvConfig):
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"""Configuration for the HILSerlRobotEnv environment."""
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robot: Optional[RobotConfig] = None
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teleop: Optional[TeleoperatorConfig] = None
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wrapper: Optional[EnvTransformConfig] = None
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robot: RobotConfig | None = None
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teleop: TeleoperatorConfig | None = None
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wrapper: EnvTransformConfig | None = None
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fps: int = 10
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name: str = "real_robot"
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mode: str = None # Either "record", "replay", None
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repo_id: Optional[str] = None
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dataset_root: Optional[str] = None
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repo_id: str | None = None
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dataset_root: str | None = None
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task: str = ""
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num_episodes: int = 10 # only for record mode
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episode: int = 0
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device: str = "cuda"
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push_to_hub: bool = True
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pretrained_policy_name_or_path: Optional[str] = None
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reward_classifier_pretrained_path: Optional[str] = None
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pretrained_policy_name_or_path: str | None = None
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reward_classifier_pretrained_path: str | None = None
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# For the reward classifier, to record more positive examples after a success
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number_of_steps_after_success: int = 0
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@@ -248,18 +248,18 @@ class HILEnvConfig(EnvConfig):
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}
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)
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################# args from hilserlrobotenv
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reward_classifier_pretrained_path: Optional[str] = None
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robot_config: Optional[RobotConfig] = None
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teleop_config: Optional[TeleoperatorConfig] = None
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wrapper: Optional[EnvTransformConfig] = None
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reward_classifier_pretrained_path: str | None = None
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robot_config: RobotConfig | None = None
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teleop_config: TeleoperatorConfig | None = None
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wrapper: EnvTransformConfig | None = None
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mode: str = None # Either "record", "replay", None
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repo_id: Optional[str] = None
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dataset_root: Optional[str] = None
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repo_id: str | None = None
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dataset_root: str | None = None
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num_episodes: int = 10 # only for record mode
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episode: int = 0
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device: str = "cuda"
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push_to_hub: bool = True
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pretrained_policy_name_or_path: Optional[str] = None
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pretrained_policy_name_or_path: str | None = None
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# For the reward classifier, to record more positive examples after a success
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number_of_steps_after_success: int = 0
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############################
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