Skip to content

Replace np.core.records.fromarrays with np.rec.fromarrays #655

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
briochh merged 1 commit into from
Dec 15, 2025
Merged

Replace np.core.records.fromarrays with np.rec.fromarrays #655

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 5 additions & 5 deletions pyemu/mat/mat_handler.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ def save_coo(x, row_names, col_names, filename, chunk=None):
header = np.array((x.shape[1], x.shape[0], x.nnz), dtype=Matrix.binary_header_dt)
header.tofile(f)

data = np.core.records.fromarrays([x.row, x.col, x.data], dtype=Matrix.coo_rec_dt)
data = np.rec.fromarrays([x.row, x.col, x.data], dtype=Matrix.coo_rec_dt)
data.tofile(f)

for name in col_names:
Expand Down Expand Up @@ -1897,7 +1897,7 @@ def to_coo(self, filename, droptol=None, chunk=None):

if chunk is None:
flat = self.x[row_idxs, col_idxs].flatten()
data = np.core.records.fromarrays(
data = np.rec.fromarrays(
[row_idxs, col_idxs, flat], dtype=self.coo_rec_dt
)
data.tofile(f)
Expand All @@ -1908,7 +1908,7 @@ def to_coo(self, filename, droptol=None, chunk=None):
# print(row_idxs[start],row_idxs[end])
# print("chunk",start,end)
flat = self.x[row_idxs[start:end], col_idxs[start:end]].flatten()
data = np.core.records.fromarrays(
data = np.rec.fromarrays(
[row_idxs[start:end], col_idxs[start:end], flat],
dtype=self.coo_rec_dt,
)
Expand Down Expand Up @@ -2052,15 +2052,15 @@ def to_binary(self, filename, droptol=None, chunk=None):

if chunk is None:
flat = self.x[row_idxs, col_idxs].flatten()
data = np.core.records.fromarrays([icount, flat], dtype=self.binary_rec_dt)
data = np.rec.fromarrays([icount, flat], dtype=self.binary_rec_dt)
# write
data.tofile(f)
else:
start, end = 0, min(chunk, row_idxs.shape[0])
while True:
# print(row_idxs[start],row_idxs[end])
flat = self.x[row_idxs[start:end], col_idxs[start:end]].flatten()
data = np.core.records.fromarrays(
data = np.rec.fromarrays(
[icount[start:end], flat], dtype=self.binary_rec_dt
)
data.tofile(f)
Expand Down
Loading