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FIX: Fix NumPy TypeErrors #285

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Merged
bocklund merged 1 commit into from
Mar 2, 2026
Merged

FIX: Fix NumPy TypeErrors #285

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2 changes: 2 additions & 0 deletions espei/error_functions/zpf_error.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,6 +72,8 @@ def _extract_pot_conds(all_conditions: Dict[v.StateVariable, np.ndarray], idx: i
# Otherwise treat it as a scalar
if len(cond_val) > 1:
cond_val = cond_val[idx]
else:
cond_val = cond_val[0] # need to explictly extract scalar for NumPy type conversion
pot_conds[getattr(v, cond_key)] = float(cond_val)
return pot_conds

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6 changes: 2 additions & 4 deletions espei/plot.py
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Expand Up @@ -391,10 +391,8 @@ def plot_interaction(dbf, comps, phase_name, configuration, output, datasets=Non
# TODO: Fix this to filter because we need to guarantee the plot points are disordered
occ = data['solver']['sublattice_occupancies']
subl_idx = np.nonzero([isinstance(c, (list, tuple)) for c in occ[0]])[0]
if len(subl_idx) > 1:
subl_idx = int(subl_idx[0])
else:
subl_idx = int(subl_idx)
# Always take the first matching sublattice index
subl_idx = int(subl_idx[0])
indep_var_data = [c[subl_idx][1] for c in occ]
else:
interactions = np.array([cond_dict[Symbol('YS')] for cond_dict in sample_condition_dicts])
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