Change in type promotion. Fixes to edf.py

Author: tompollard

wfdb/io/convert/edf.py

@@ -402,22 +402,24 @@ def read_edf(
  temp_sig_data = np.fromfile(edf_file, dtype=np.int16)
  temp_sig_data = temp_sig_data.reshape((-1, sum(samps_per_block)))
  temp_all_sigs = np.hsplit(temp_sig_data, np.cumsum(samps_per_block)[:-1])
+
  for i in range(n_sig):
  # Check if `samps_per_frame` has all equal values
  if samps_per_frame.count(samps_per_frame[0]) == len(samps_per_frame):
  sig_data[:, i] = (
- temp_all_sigs[i].flatten() - baseline[i]
+ temp_all_sigs[i].flatten().astype(np.int64) - baseline[i]
  ) / adc_gain_all[i]
  else:
  temp_sig_data = temp_all_sigs[i].flatten()
+
  if samps_per_frame[i] == 1:
- sig_data[:, i] = (temp_sig_data - baseline[i]) / adc_gain_all[i]
+ sig_data[:, i] = (temp_sig_data.astype(np.int64) - baseline[i]) / adc_gain_all[i]
  else:
  for j in range(sig_len):
  start_ind = j * samps_per_frame[i]
  stop_ind = start_ind + samps_per_frame[i]
  sig_data[j, i] = np.mean(
- (temp_sig_data[start_ind:stop_ind] - baseline[i])
+  temp_sig_data[start_ind:stop_ind].astype(np.int64) - baseline[i]
  / adc_gain_all[i]
  )