RF: Avoid shadowing Python standard library module

Author: mgxd

nibabies/types.py renamed to nibabies/_types.py

@@ -37,8 +37,8 @@
 from niworkflows.utils.connections import listify
 
 from nibabies import config
+from nibabies._types import Anatomical
 from nibabies.interfaces import DerivativesDataSink
-from nibabies.types import Anatomical
 from nibabies.utils.misc import estimate_bold_mem_usage
 
 # BOLD workflows

nibabies/workflows/bold/base.py

@@ -34,13 +34,13 @@
 from sdcflows.workflows.apply.registration import init_coeff2epi_wf
 
 from nibabies import config
+from nibabies._types import Anatomical
 from nibabies.interfaces.reports import FunctionalSummary
 from nibabies.interfaces.resampling import (
     DistortionParameters,
     ReconstructFieldmap,
     ResampleSeries,
 )
-from nibabies.types import Anatomical
 from nibabies.utils.bids import extract_entities
 from nibabies.utils.misc import estimate_bold_mem_usage
 

nibabies/workflows/bold/fit.py

@@ -31,10 +31,10 @@
 from niworkflows.utils.images import dseg_label
 
 from nibabies import config
+from nibabies._types import Anatomical
 from nibabies.config import DEFAULT_DISMISS_ENTITIES, DEFAULT_MEMORY_MIN_GB, dismiss_echo
 from nibabies.interfaces import DerivativesDataSink
 from nibabies.interfaces.bids import BIDSURI
-from nibabies.types import Anatomical
 
 
 def prepare_timing_parameters(metadata: dict):

nibabies/workflows/bold/outputs.py

@@ -20,7 +20,7 @@
 from nipype.pipeline import engine as pe
 
 from nibabies import config, data
-from nibabies.types import AffineDOF, RegistrationInit
+from nibabies._types import AffineDOF, RegistrationInit
 
 DEFAULT_MEMORY_MIN_GB = config.DEFAULT_MEMORY_MIN_GB
 LOGGER = logging.getLogger('nipype.workflow')