MAINT: Post-release deprecations

mne/_fiff/__init__.py

@@ -7,22 +7,3 @@
 
 # All imports should be done directly to submodules, so we don't import
 # anything here or use lazy_loader.
-
-# This warn import (made private as _warn) is just for the temporary
-# _io_dep_getattr and can be removed in 1.6 along with _dep_msg and _io_dep_getattr.
-from ..utils import warn as _warn
-
-
-_dep_msg = (
-    "is deprecated will be removed in 1.6, use documented public API instead. "
-    "If no appropriate public API exists, please open an issue on GitHub."
-)
-
-
-def _io_dep_getattr(name, mod):
-    import importlib
-
-    fiff_mod = importlib.import_module(f"mne._fiff.{mod}")
-    obj = getattr(fiff_mod, name)
-    _warn(f"mne.io.{mod}.{name} {_dep_msg}", FutureWarning)
-    return obj

mne/commands/tests/test_commands.py

@@ -31,7 +31,6 @@
     mne_flash_bem,
     mne_kit2fiff,
     mne_make_scalp_surfaces,
-    mne_maxfilter,
     mne_prepare_bem_model,
     mne_report,
     mne_setup_forward_model,
@@ -206,32 +205,6 @@ def test_make_scalp_surfaces(tmp_path, monkeypatch):
         assert "SUBJECTS_DIR" not in os.environ
 
 
-def test_maxfilter():
-    """Test mne maxfilter."""
-    check_usage(mne_maxfilter)
-    with ArgvSetter(
-        (
-            "-i",
-            raw_fname,
-            "--st",
-            "--movecomp",
-            "--linefreq",
-            "60",
-            "--trans",
-            raw_fname,
-        )
-    ) as out:
-        with pytest.warns(RuntimeWarning, match="Don't use"):
-            os.environ["_MNE_MAXFILTER_TEST"] = "true"
-            try:
-                mne_maxfilter.run()
-            finally:
-                del os.environ["_MNE_MAXFILTER_TEST"]
-        out = out.stdout.getvalue()
-        for check in ("maxfilter", "-trans", "-movecomp"):
-            assert check in out, check
-
-
 @pytest.mark.slowtest
 @testing.requires_testing_data
 def test_report(tmp_path):

mne/gui/_gui.py

@@ -3,31 +3,24 @@
 # License: BSD-3-Clause
 # Copyright the MNE-Python contributors.
 
-from ..utils import get_config, verbose, warn
+from ..utils import get_config, verbose
 
 
 @verbose
 def coregistration(
     *,
-    tabbed=None,
-    split=None,
     width=None,
+    height=None,
     inst=None,
     subject=None,
     subjects_dir=None,
-    guess_mri_subject=None,
-    height=None,
     head_opacity=None,
     head_high_res=None,
     trans=None,
-    scrollable=None,
     orient_to_surface=None,
     scale_by_distance=None,
     mark_inside=None,
     interaction=None,
-    scale=None,
-    advanced_rendering=None,
-    head_inside=None,
     fullscreen=None,
     show=True,
     block=False,
@@ -45,29 +38,20 @@ def coregistration(
 
     Parameters
     ----------
-    tabbed : bool
-        Combine the data source panel and the coregistration panel into a
-        single panel with tabs.
-    split : bool
-        Split the main panels with a movable splitter (good for QT4 but
-        unnecessary for wx backend).
     width : int | None
         Specify the width for window (in logical pixels).
         Default is None, which uses ``MNE_COREG_WINDOW_WIDTH`` config value
         (which defaults to 800).
+    height : int | None
+        Specify a height for window (in logical pixels).
+        Default is None, which uses ``MNE_COREG_WINDOW_WIDTH`` config value
+        (which defaults to 400).
     inst : None | str
         Path to an instance file containing the digitizer data. Compatible for
         Raw, Epochs, and Evoked files.
     subject : None | str
         Name of the mri subject.
     %(subjects_dir)s
-    guess_mri_subject : bool
-        When selecting a new head shape file, guess the subject's name based
-        on the filename and change the MRI subject accordingly (default True).
-    height : int | None
-        Specify a height for window (in logical pixels).
-        Default is None, which uses ``MNE_COREG_WINDOW_WIDTH`` config value
-        (which defaults to 400).
     head_opacity : float | None
         The opacity of the head surface in the range [0., 1.].
         Default is None, which uses ``MNE_COREG_HEAD_OPACITY`` config value
@@ -78,8 +62,6 @@ def coregistration(
         (which defaults to True).
     trans : path-like | None
         The transform file to use.
-    scrollable : bool
-        Make the coregistration panel vertically scrollable (default True).
     orient_to_surface : bool | None
         If True (default), orient EEG electrode and head shape points
         to the head surface.
@@ -102,21 +84,6 @@ def coregistration(
         .. versionchanged:: 1.0
            Default interaction mode if ``None`` and no config setting found
            changed from ``'trackball'`` to ``'terrain'``.
-    scale : float | None
-        The scaling for the scene.
-
-        .. versionadded:: 0.16
-    advanced_rendering : bool
-        Use advanced OpenGL rendering techniques (default True).
-        For some renderers (such as MESA software) this can cause rendering
-        bugs.
-
-        .. versionadded:: 0.18
-    head_inside : bool
-        If True (default), add opaque inner scalp head surface to help occlude
-        points behind the head.
-
-        .. versionadded:: 0.23
     %(fullscreen)s
         Default is None, which uses ``MNE_COREG_FULLSCREEN`` config value
         (which defaults to False).
@@ -143,28 +110,6 @@ def coregistration(
 
     .. youtube:: ALV5qqMHLlQ
     """
-    unsupported_params = {
-        "tabbed": tabbed,
-        "split": split,
-        "scrollable": scrollable,
-        "head_inside": head_inside,
-        "guess_mri_subject": guess_mri_subject,
-        "scale": scale,
-        "advanced_rendering": advanced_rendering,
-    }
-    for key, val in unsupported_params.items():
-        if isinstance(val, tuple):
-            to_raise = val[0] != val[1]
-        else:
-            to_raise = val is not None
-        if to_raise:
-            warn(
-                f"The parameter {key} is deprecated and will be removed in 1.7, do "
-                "not pass a value for it",
-                FutureWarning,
-            )
-    del tabbed, split, scrollable, head_inside, guess_mri_subject, scale
-    del advanced_rendering
     config = get_config()
     if head_high_res is None:
         head_high_res = config.get("MNE_COREG_HEAD_HIGH_RES", "true") == "true"

mne/io/constants.py

@@ -3,15 +3,6 @@
 # License: BSD-3-Clause
 # Copyright the MNE-Python contributors.
 
-from .._fiff import _io_dep_getattr
 from .._fiff.constants import FIFF
 
 __all__ = ["FIFF"]
-
-
-def __getattr__(name):
-    try:
-        return globals()[name]
-    except KeyError:
-        pass
-    return _io_dep_getattr(name, "constants")

mne/io/pick.py

@@ -4,7 +4,6 @@
 # Copyright the MNE-Python contributors.
 
 
-from .._fiff import _io_dep_getattr
 from .._fiff.pick import (
     _DATA_CH_TYPES_ORDER_DEFAULT,
     _DATA_CH_TYPES_SPLIT,
@@ -18,11 +17,3 @@
     "_DATA_CH_TYPES_ORDER_DEFAULT",
     "_DATA_CH_TYPES_SPLIT",
 ]
-
-
-def __getattr__(name):
-    try:
-        return globals()[name]
-    except KeyError:
-        pass
-    return _io_dep_getattr(name, "pick")

mne/preprocessing/__init__.pyi

@@ -7,7 +7,6 @@ __all__ = [
     "annotate_movement",
     "annotate_muscle_zscore",
     "annotate_nan",
-    "apply_maxfilter",
     "compute_average_dev_head_t",
     "compute_bridged_electrodes",
     "compute_current_source_density",
@@ -77,7 +76,6 @@ from .ica import (
 )
 from .infomax_ import infomax
 from .interpolate import equalize_bads, interpolate_bridged_electrodes
-from .maxfilter import apply_maxfilter
 from .maxwell import (
     compute_maxwell_basis,
     find_bad_channels_maxwell,