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from __future__ import print_function, division, absolute_import
from six.moves import range
from tracktable.lib import _feature_vector_points
POINT_TYPES = [ None,
_feature_vector_points.FeatureVector1,
_feature_vector_points.FeatureVector2,
_feature_vector_points.FeatureVector3,
_feature_vector_points.FeatureVector4,
_feature_vector_points.FeatureVector5,
_feature_vector_points.FeatureVector6,
_feature_vector_points.FeatureVector7,
_feature_vector_points.FeatureVector8,
_feature_vector_points.FeatureVector9,
_feature_vector_points.FeatureVector10,
_feature_vector_points.FeatureVector11,
_feature_vector_points.FeatureVector12,
_feature_vector_points.FeatureVector13,
_feature_vector_points.FeatureVector14,
_feature_vector_points.FeatureVector15,
_feature_vector_points.FeatureVector16,
_feature_vector_points.FeatureVector17,
_feature_vector_points.FeatureVector18,
_feature_vector_points.FeatureVector19,
_feature_vector_points.FeatureVector20,
_feature_vector_points.FeatureVector21,
_feature_vector_points.FeatureVector22,
_feature_vector_points.FeatureVector23,
_feature_vector_points.FeatureVector24,
_feature_vector_points.FeatureVector25,
_feature_vector_points.FeatureVector26,
_feature_vector_points.FeatureVector27,
_feature_vector_points.FeatureVector28,
_feature_vector_points.FeatureVector29,
_feature_vector_points.FeatureVector30
]
[docs]def convert_to_feature_vector(coords):
"""Package up a list of numbers as a feature vector
Conceptually, a feature vector is just a list of numbers. However,
in Tracktable, the functions that work with feature vectors (DBSCAN
and the R-tree) expect specific data structures in order to go back
and forth between Python and C++. Specifically, this data structure
is a tracktable.domain.feature_vectors.POINT_TYPES[NN], where NN is
the number of values. Right now NN can be no greater than 30.
The function convert_to_feature_vector() takes a list or tuple of
numeric values and packages them up in that data structure. It does
not change or reorder the values in any way.
Arguments:
coords (list or tuple of numbers): Sequence of feature values
Returns:
Input values bundled up in a FeatureVectorNN data structure as
described above
Note:
In the future, it would be great if the user never had to care
about this function -- feature vectors would get automatically
instantiated when the R-tree is built or DBSCAN is invoked.
"""
if len(coords) == 0 or len(coords) >= len(POINT_TYPES):
raise TypeError("Point must have between 1 and {} coordinates.".format(len(POINT_TYPES)))
else:
point = POINT_TYPES[len(coords)]()
for i in range(len(coords)):
point[i] = coords[i]
return point