From fe3579c644eff3c3707b119319335ef18eab51c4 Mon Sep 17 00:00:00 2001
From: ahmedk <karim.ahmed@xfel.eu>
Date: Thu, 3 Mar 2022 15:31:17 +0100
Subject: [PATCH] convert to float only within each process to save memory
---
.../Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb b/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
index b90a78ed8..356e75e8c 100644
--- a/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
+++ b/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
@@ -309,7 +309,7 @@
" \" Not enough data to process darks.\")\n",
"\n",
" images = np.transpose(\n",
- " instr_dc[instrument_src, \"data.adc\"].ndarray().astype(np.float64), (3, 2, 1, 0))\n",
+ " instr_dc[instrument_src, \"data.adc\"].ndarray(), (3, 2, 1, 0))\n",
" acelltable = np.transpose(instr_dc[instrument_src, \"data.memoryCell\"].ndarray())\n",
" gain_vals = np.transpose(\n",
" instr_dc[instrument_src, \"data.gain\"].ndarray(), (3, 2, 1, 0))\n",
--
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