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

src/lerobot/processor/core.py

@@ -17,7 +17,7 @@
 from __future__ import annotations
 
 from enum import Enum
-from typing import Any, TypeAlias, TypedDict
+from typing import Any, TypedDict
 
 import numpy as np
 import torch
@@ -36,10 +36,10 @@ class TransitionKey(str, Enum):
     COMPLEMENTARY_DATA = "complementary_data"
 
 
-PolicyAction: TypeAlias = torch.Tensor
-RobotAction: TypeAlias = dict[str, Any]
-EnvAction: TypeAlias = np.ndarray
-RobotObservation: TypeAlias = dict[str, Any]
+PolicyAction = torch.Tensor
+RobotAction = dict[str, Any]
+EnvAction = np.ndarray
+RobotObservation = dict[str, Any]
 
 
 EnvTransition = TypedDict(

src/lerobot/processor/pipeline.py

@@ -39,7 +39,7 @@ from collections.abc import Callable, Iterable, Sequence
 from copy import deepcopy
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Any, Generic, TypeAlias, TypedDict, TypeVar, cast
+from typing import Any, TypedDict, TypeVar, cast
 
 import torch
 from huggingface_hub import hf_hub_download
@@ -251,7 +251,7 @@ class ProcessorMigrationError(Exception):
 
 
 @dataclass
-class DataProcessorPipeline(HubMixin, Generic[TInput, TOutput]):
+class DataProcessorPipeline[TInput, TOutput](HubMixin):
     """A sequential pipeline for processing data, integrated with the Hugging Face Hub.
 
     This class chains together multiple `ProcessorStep` instances to form a complete
@@ -1432,8 +1432,8 @@ class DataProcessorPipeline(HubMixin, Generic[TInput, TOutput]):
 
 
 # Type aliases for semantic clarity.
-RobotProcessorPipeline: TypeAlias = DataProcessorPipeline[TInput, TOutput]
-PolicyProcessorPipeline: TypeAlias = DataProcessorPipeline[TInput, TOutput]
+RobotProcessorPipeline = DataProcessorPipeline[TInput, TOutput]
+PolicyProcessorPipeline = DataProcessorPipeline[TInput, TOutput]
 
 
 class ObservationProcessorStep(ProcessorStep, ABC):