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Fix NumPy 1.24 compatibility: replace deprecated np.bool and np.float #156

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Merged
StuartLittlefair merged 1 commit into from
Dec 29, 2025
Merged

Fix NumPy 1.24 compatibility: replace deprecated np.bool and np.float #156

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2 changes: 1 addition & 1 deletion hipercam/hlog.py
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Original file line number Diff line number Diff line change
Expand Up @@ -791,7 +791,7 @@ def get_mask(self, bitmask=None, flag_bad=True):
bad = self.get_bad()
else:
# Do not flag bad data
bad = np.zeros_like(self.t, dtype=np.bool)
bad = np.zeros_like(self.t, dtype=bool)

if bitmask is not None:
# Flag data matching the bitmask
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32 changes: 16 additions & 16 deletions hipercam/scripts/hmeta.py
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Original file line number Diff line number Diff line change
Expand Up @@ -228,29 +228,29 @@ def hmeta(args=None):
{}, {}, {}, {}, {}, {}, {}, {}, {}, {}
for cnam, ncframe in ncframes.items():
if linstrument == 'ultraspec':
medians[cnam] = np.empty_like(ncframe,dtype=np.float)
medians[cnam] = np.empty_like(ncframe,dtype=float)
elif linstrument == 'ultracam':
medians[cnam] = {
'L' : np.empty_like(ncframe,dtype=np.float),
'R' : np.empty_like(ncframe,dtype=np.float)
'L' : np.empty_like(ncframe,dtype=float),
'R' : np.empty_like(ncframe,dtype=float)
}
elif linstrument == 'hipercam':
medians[cnam] = {
'E' : np.empty_like(ncframe,dtype=np.float),
'F' : np.empty_like(ncframe,dtype=np.float),
'G' : np.empty_like(ncframe,dtype=np.float),
'H' : np.empty_like(ncframe,dtype=np.float)
'E' : np.empty_like(ncframe,dtype=float),
'F' : np.empty_like(ncframe,dtype=float),
'G' : np.empty_like(ncframe,dtype=float),
'H' : np.empty_like(ncframe,dtype=float)
}

means[cnam] = np.empty_like(ncframe,dtype=np.float)
mins[cnam] = np.empty_like(ncframe,dtype=np.float)
p1s[cnam] = np.empty_like(ncframe,dtype=np.float)
p5s[cnam] = np.empty_like(ncframe,dtype=np.float)
p16s[cnam] = np.empty_like(ncframe,dtype=np.float)
p84s[cnam] = np.empty_like(ncframe,dtype=np.float)
p95s[cnam] = np.empty_like(ncframe,dtype=np.float)
p99s[cnam] = np.empty_like(ncframe,dtype=np.float)
maxs[cnam] = np.empty_like(ncframe,dtype=np.float)
means[cnam] = np.empty_like(ncframe,dtype=float)
mins[cnam] = np.empty_like(ncframe,dtype=float)
p1s[cnam] = np.empty_like(ncframe,dtype=float)
p5s[cnam] = np.empty_like(ncframe,dtype=float)
p16s[cnam] = np.empty_like(ncframe,dtype=float)
p84s[cnam] = np.empty_like(ncframe,dtype=float)
p95s[cnam] = np.empty_like(ncframe,dtype=float)
p99s[cnam] = np.empty_like(ncframe,dtype=float)
maxs[cnam] = np.empty_like(ncframe,dtype=float)

# now access the data and calculate stats. we have to
# remember that ultracam and hipercam have different
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