From 01ec571d67fc4312789d080e22f171e9d57d6e27 Mon Sep 17 00:00:00 2001
From: Espen Hagen <2492641+espenhgn@users.noreply.github.com>
Date: Sun, 23 Apr 2023 20:45:48 +0200
Subject: [PATCH] Reduce memory footprint (#82)

* sum probe signals incrementally

* fixed deprecated code

* double precision
---
 hybridLFPy/population.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/hybridLFPy/population.py b/hybridLFPy/population.py
index 07c77d6..48763d8 100644
--- a/hybridLFPy/population.py
+++ b/hybridLFPy/population.py
@@ -596,11 +596,11 @@ def calc_signal_sum(self, measure='LFP'):
         if self.RANK_CELLINDICES.size > 0:
             data = self.output[measure]
         else:
-            data = np.zeros(shape, dtype=np.float32)
+            data = np.zeros(shape, dtype=np.float64)
 
         # container for full LFP on RANK 0
         if RANK == 0:
-            DATA = np.zeros_like(data, dtype=np.float32)
+            DATA = np.zeros_like(data, dtype=np.float64)
         else:
             DATA = None
 
@@ -1290,8 +1290,7 @@ def cellsim(self, cellindex, return_just_cell=False):
             # downsample probe.data attribute and unset cell
             for probe in self.probes:
                 probe.data = ss.decimate(probe.data,
-                                         q=self.decimatefrac
-                                         ).astype(np.float32)
+                                         q=self.decimatefrac)
                 probe.cell = None
 
             # put all necessary cell output in output dict