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Convert specifically from int32 to uint64

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This commit is contained in:
Adriane Boyd 2022-12-07 15:18:59 +01:00
parent ed19ece5c4
commit 362279708d
3 changed files with 5 additions and 5 deletions
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4
spacy/tokens/doc.pyx
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@ -359,7 +359,7 @@ cdef class Doc:
for annot in annotations:
if annot:
if annot is heads or annot is sent_starts or annot is ent_iobs:
annot = numpy.array(annot).astype(numpy.uint64)
annot = numpy.array(annot, dtype=numpy.int32).astype(numpy.uint64)
for i in range(len(words)):
if attrs.ndim == 1:
attrs[i] = annot[i]
@ -1559,7 +1559,7 @@ cdef class Doc:
for j, (attr, annot) in enumerate(token_annotations.items()):
if attr is HEAD:
annot = numpy.array(annot).astype(numpy.uint64)
annot = numpy.array(annot, dtype=numpy.int32).astype(numpy.uint64)
for i in range(len(words)):
array[i, j] = annot[i]
elif attr is MORPH:

4
spacy/tokens/span.pyx
View File

@ -299,7 +299,7 @@ cdef class Span:
for ancestor in ancestors:
ancestor_i = ancestor.i - self.c.start
if ancestor_i in range(length):
array[i, head_col] = numpy.array(ancestor_i - i).astype(numpy.uint64)
array[i, head_col] = numpy.int32(ancestor_i - i).astype(numpy.uint64)
# if there is no appropriate ancestor, define a new artificial root
value = array[i, head_col]
@ -307,7 +307,7 @@ cdef class Span:
new_root = old_to_new_root.get(ancestor_i, None)
if new_root is not None:
# take the same artificial root as a previous token from the same sentence
array[i, head_col] = numpy.array(new_root - i).astype(numpy.uint64)
array[i, head_col] = numpy.int32(new_root - i).astype(numpy.uint64)
else:
# set this token as the new artificial root
array[i, head_col] = 0

2
spacy/training/example.pyx
View File

@ -462,7 +462,7 @@ def _annot2array(vocab, tok_annot, doc_annot):
types = set([type(v) for v in value])
raise TypeError(Errors.E969.format(field=key, types=types)) from None
row = [vocab.strings.add(v) for v in value]
values.append([numpy.array(v).astype(numpy.uint64) if v < 0 else v for v in row])
values.append([numpy.array(v, dtype=numpy.int32).astype(numpy.uint64) if v < 0 else v for v in row])
array = numpy.array(values, dtype=numpy.uint64)
return attrs, array.T