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Update deprecation markers (3.1 -> 3.0.1) #3422

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Merged
deruyter92 merged 1 commit into from
Jul 21, 2026
Merged

Update deprecation markers (3.1 -> 3.0.1) #3422

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2 changes: 1 addition & 1 deletion deeplabcut/core/config/utils.py
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Expand Up @@ -238,7 +238,7 @@ def wrapper(*args, **kwargs):
# -----------------------------------------------------------------------------


@deprecated(replacement="deeplabcut.core.config.ProjectConfig", since="3.1")
@deprecated(replacement="deeplabcut.core.config.ProjectConfig", since="3.0.1")
def create_config_template(multianimal: bool = False) -> tuple:
"""
Creates a template for config.yaml file. This specific order is preserved while saving as yaml file.
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6 changes: 3 additions & 3 deletions deeplabcut/pose_estimation_pytorch/config/make_pose_config.py
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Expand Up @@ -38,7 +38,7 @@
logger = logging.getLogger(__name__)


@deprecated(replacement="pose_estimation_pytorch.config.TestConfig.build", since="3.1")
@deprecated(replacement="pose_estimation_pytorch.config.TestConfig.build", since="3.0.1")
def make_pytorch_test_config(
model_config: PoseConfig | dict | str | Path,
test_config_path: str | Path,
Expand All @@ -49,7 +49,7 @@ def make_pytorch_test_config(
return TestConfig.build(model_config, test_config_path=test_config_path, save=save)


@deprecated(replacement="pose_estimation_pytorch.config.PoseConfig.build", since="3.1")
@deprecated(replacement="pose_estimation_pytorch.config.PoseConfig.build", since="3.0.1")
def make_pytorch_pose_config(
project_config: ProjectConfig | dict | Path | str,
pose_config_path: str | Path,
Expand All @@ -74,7 +74,7 @@ def make_pytorch_pose_config(
)


@deprecated(replacement="pose_estimation_pytorch.config.PoseMetadata", since="3.1")
@deprecated(replacement="pose_estimation_pytorch.config.PoseMetadata", since="3.0.1")
def make_basic_project_config(
dataset_path: Path | str,
bodyparts: list[str],
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6 changes: 3 additions & 3 deletions deeplabcut/pose_estimation_pytorch/config/utils.py
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Expand Up @@ -118,18 +118,18 @@ def get_updated_value(variable: str) -> int | list[int]:
return config


@deprecated(replacement=None, since="3.1")
@deprecated(replacement=None, since="3.0.1")
def update_config(config: dict, updates: dict, copy_original: bool = True) -> dict:
"""Deprecated helper for updating config dictionaries."""
from deeplabcut.pose_estimation_pytorch.config.make_pose_config import _update_config

return _update_config(config, updates, copy_original)


@deprecated(replacement=None, since="3.1")
@deprecated(replacement=None, since="3.0.1")
def update_config_by_dotpath(config: dict, updates: dict, copy_original: bool = True) -> dict:
"""Deprecated helper for updating config dictionaries using dot notation.
``DLCBaseConfig.set_nested`` (new in 3.1) can be used instead (not identical).
``DLCBaseConfig.set_nested`` (new in 3.0.1) can be used instead (not identical).

Updates items in the configuration file using dot notation for nested keys

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2 changes: 1 addition & 1 deletion deeplabcut/pose_estimation_pytorch/data/base.py
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Expand Up @@ -47,7 +47,7 @@ class Loader(ABC):
Returns a dictionary containing dataset parameters derived from the configuration.
"""

@renamed_parameter(old="model_config_path", new="model_config", since="3.1.0")
@renamed_parameter(old="model_config_path", new="model_config", since="3.0.1")
def __init__(
self,
project_root: str | Path,
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2 changes: 1 addition & 1 deletion deeplabcut/pose_estimation_pytorch/modelzoo/config.py
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Expand Up @@ -140,7 +140,7 @@ def build_superanimal_finetune_config(
return model_cfg


@deprecated(replacement="PoseConfig.build_for_superanimal_finetune", since="3.1")
@deprecated(replacement="PoseConfig.build_for_superanimal_finetune", since="3.0.1")
def make_super_animal_finetune_config(
weight_init: WeightInitialization,
project_config: dict,
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2 changes: 1 addition & 1 deletion deeplabcut/pose_estimation_pytorch/modelzoo/utils.py
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Expand Up @@ -89,7 +89,7 @@ def get_super_animal_snapshot_path(
return model_path


@deprecated(replacement="PoseConfig.build_for_superanimal_inference", since="3.1")
@deprecated(replacement="PoseConfig.build_for_superanimal_inference", since="3.0.1")
def load_super_animal_config(
super_animal: str,
model_name: str,
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