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Faster/simpler cumsum approach in read_point_list

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Reqires a special case for ndarrays in dedup_field() -- probably a good
idea anyways if user gives us an ndarray
This commit is contained in:
Jan Petykiewicz 2020-04-18 03:00:36 -07:00
commit 6f2200c5ed
2 changed files with 11 additions and 6 deletions
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12
fatamorgana/records.py
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@ -24,7 +24,10 @@ from .basic import AString, NString, repetition_t, property_value_t, real_t, \
read_bstring, read_uint, read_sint, read_real, read_repetition, read_interval, \
write_bstring, write_uint, write_sint, write_real, write_interval, write_point_list, \
write_property_value, read_bool_byte, write_bool_byte, read_byte, write_byte, \
InvalidDataError, PathExtensionScheme
InvalidDataError, PathExtensionScheme, _USE_NUMPY
if _USE_NUMPY:
import numpy
logger = logging.getLogger(__name__)
@ -2444,7 +2447,12 @@ def dedup_field(record: Record, r_field: str, modals: Modals, m_field: str):
r = getattr(record, r_field)
m = getattr(modals, m_field)
if r is not None:
if m is not None and m == r:
if _USE_NUMPY and m_field in ('polygon_point_list', 'path_point_list'):
equal = numpy.array_equal(m, r)
else:
equal = m is not None and m == r
if equal:
setattr(record, r_field, None)
else:
setattr(modals, m_field, r)