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Commit bd352e6e authored by dboe's avatar dboe
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core is lintfree

parent f22b88c5
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Showing with 43 additions and 32 deletions
tfields/core.py
View file @ bd352e6e
......@@ -8,7 +8,7 @@ core of tfields library
contains numpy ndarray derived bases of the tfields package
Notes:
It could be worthwhile concidering `np.li.mixins.NDArrayOperatorsMixin ...
* It could be worthwhile concidering `np.li.mixins.NDArrayOperatorsMixin ...
<https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/...
... numpy.lib.mixins.NDArrayOperatorsMixin.html>`_
"""
......@@ -250,9 +250,11 @@ class AbstractObject(object): # pylint: disable=useless-object-inheritance
# Found under nt. ???
obj_type = obj_type.decode("UTF-8")
obj_type = getattr(tfields, obj_type)
attr_value = obj_type._from_dict(
here[attr][key]
) # noqa: E501 pylint: disable=protected-access
attr_value = (
obj_type._from_dict( # pylint: disable=protected-access
here[attr][key]
)
)
else: # if len(here[attr][key]) == 1:
attr_value = here[attr][key].pop("")
here[attr][key] = attr_value
......@@ -303,12 +305,14 @@ class AbstractObject(object): # pylint: disable=useless-object-inheritance
bulk_type = bulk_type.decode("UTF-8")
bulk_type = getattr(tfields, bulk_type)
list_dict[key].append(
bulk_type._from_dict_legacy(**sub_dict[index])
) # noqa: E501 pylint: disable=protected-access
bulk_type._from_dict_legacy(
**sub_dict[index]
) # noqa: E501 pylint: disable=protected-access
)
with cls._bypass_setters(
with cls._bypass_setters( # pylint: disable=protected-access,no-member
"fields", demand_existence=False
): # noqa: E501 pylint: disable=protected-access,no-member
):
# Build the normal way
bulk = kwargs.pop("bulk")
bulk_type = kwargs.pop("bulk_type")
......@@ -366,9 +370,9 @@ class AbstractNdarray(np.ndarray, AbstractObject):
setattr(self, attr, getattr(obj, attr, None))
def __array_wrap__(self, out_arr, context=None): # pylint: disable=arguments-differ
return np.ndarray.__array_wrap__(
return np.ndarray.__array_wrap__( # pylint: disable=too-many-function-args
self, out_arr, context
) # noqa: E501 pylint: disable=too-many-function-args
)
@classmethod
def _iter_slots(cls):
......@@ -1047,8 +1051,11 @@ class Tensors(AbstractNdarray): # pylint: disable=too-many-public-methods
"""
# scalars empty already there
if (
self.rank == 0 or self.shape[0] == 0 or self.coord_sys == coord_sys
): # noqa: E501 pylint: disable=access-member-before-definition
self.rank == 0
or self.shape[0] == 0
or self.coord_sys
== coord_sys # noqa: E501 pylint: disable=access-member-before-definition
):
self.coord_sys = coord_sys # pylint: disable=attribute-defined-outside-init
return
......@@ -1339,9 +1346,9 @@ class Tensors(AbstractNdarray): # pylint: disable=too-many-public-methods
"""
with other.tmp_transform(self.coord_sys):
# balanced_tree option gives huge speedup!
kd_tree = scipy.spatial.cKDTree(
kd_tree = scipy.spatial.cKDTree( # noqa: E501 pylint: disable=no-member
other, 1000, balanced_tree=False
) # noqa: E501 pylint: disable=no-member
)
res = kd_tree.query(self, **kwargs)
array = res[1]
......@@ -1906,9 +1913,9 @@ class TensorFields(Tensors):
@classmethod
def merged(cls, *objects, **kwargs):
if not all([isinstance(o, cls) for o in objects]):
types = [
types = [ # pylint: disable=possibly-unused-variable
type(o) for o in objects
] # pylint: disable=possibly-unused-variable
]
# Note: could allow if all map_fields are none
raise TypeError(
"Merge constructor only accepts {cls} instances."
......@@ -2016,9 +2023,9 @@ class TensorFields(Tensors):
"different dimension. No coord_sys check performed."
)
if field.dim <= 3:
artist = rna.plotting.plot_tensor_field(
artist = rna.plotting.plot_tensor_field( # noqa: E501 pylint: disable=no-member
self, field, **kwargs
) # noqa: E501 pylint: disable=no-member
)
else:
raise NotImplementedError(
"Field of dimension {field.dim}".format(**locals())
......@@ -2282,7 +2289,7 @@ class TensorMaps(TensorFields):
"""
item = super(TensorMaps, self).__getitem__(index)
if issubclass(type(item), TensorMaps):
if issubclass(type(item), TensorMaps): # pylint: disable=too-many-nested-blocks
if isinstance(index, tuple):
index = index[0]
if item.maps:
......@@ -2299,9 +2306,9 @@ class TensorMaps(TensorFields):
map_delete_mask = np.full(
(len(self.maps[map_dim]),), False, dtype=bool
)
for i, mp in enumerate(
for i, mp in enumerate( # pylint: disable=invalid-name
self.maps[map_dim]
): # pylint: disable=invalid-name
):
for node_index in mp:
if node_index in delete_indices:
map_delete_mask[i] = True
......@@ -2320,7 +2327,9 @@ class TensorMaps(TensorFields):
return item
@classmethod
def merged(cls, *objects, **kwargs):
def merged(
cls, *objects, **kwargs
): # pylint: disable=too-many-locals,too-many-branches
if not all([isinstance(o, cls) for o in objects]):
# Note: could allow if all face_fields are none
raise TypeError(
......@@ -2356,9 +2365,9 @@ class TensorMaps(TensorFields):
)
if return_templates:
(
mp,
mp, # pylint: disable=invalid-name
dimension_map_templates,
) = return_value # pylint: disable=invalid-name
) = return_value
for i in range(len(objects)):
template_maps_list[i].append(
(dimension, dimension_map_templates[i])
......@@ -2421,14 +2430,14 @@ class TensorMaps(TensorFields):
index_lut = np.full(len(self), np.nan) # float type
index_lut[template.fields[0]] = np.arange(len(template.fields[0]))
for mp_dim, mp in self.maps.items(): # pylint: disable=invalid-name
mp = mp._cut_template(
mp = mp._cut_template( # pylint: disable=invalid-name,protected-access
template.maps[mp_dim]
) # noqa: E501 pylint: disable=invalid-name,protected-access
)
if template.fields:
# correct
mp = Maps.to_map(
mp = Maps.to_map( # pylint: disable=invalid-name
index_lut[mp], *mp.fields
) # pylint: disable=invalid-name
)
inst.maps[mp_dim] = mp
return inst
......@@ -2524,7 +2533,7 @@ class TensorMaps(TensorFields):
# map
remove_mask = self.stale()
inst = self.removed(remove_mask)
if duplicates:
if duplicates: # pylint: disable=too-many-nested-blocks
# remove duplicates in order to not have any artificial separations
if not stale:
# we have not yet made a copy but want to work on inst
......@@ -2539,9 +2548,9 @@ class TensorMaps(TensorFields):
# self.maps in case stale vertices where removed
for map_dim in inst.maps:
for face_index in range(len(inst.maps[map_dim])): # face index
mp = np.array(
mp = np.array( # noqa: E501 pylint: disable=invalid-name
inst.maps[map_dim], dtype=int
) # noqa: E501 pylint: disable=invalid-name
)
if tensor_index in mp[face_index]:
index = tfields.lib.util.index(
mp[face_index], tensor_index
......@@ -2669,7 +2678,9 @@ class TensorMaps(TensorFields):
maps_list = tfields.lib.sets.disjoint_group_indices(self.maps[map_dim])
return (map_dim, maps_list)
def paths(self, map_dim):
def paths(
self, map_dim
): # noqa: E501 pylint: disable=too-many-locals,too-many-branches,too-many-statements
"""
Find the minimal amount of graphs building the original graph with
maximum of two links per node i.e.
......
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