From c75e9b8a7f3ab930a8bd456de8a6874e312ecc07 Mon Sep 17 00:00:00 2001
From: Nicola Ferralis <feranick@hotmail.com>
Date: Mon, 7 Oct 2024 14:26:27 -0400
Subject: [PATCH] Define data type before saving into h5 for DataMakers

Prevents crash when data contain value 0.000"
---
 Utilities/GenericDataMaker.py      | 4 ++--
 Utilities/RandomCrossValidMaker.py | 4 ++--
 Utilities/RruffDataMaker.py        | 4 ++--
 Utilities/XmuDataMaker.py          | 4 ++--
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/Utilities/GenericDataMaker.py b/Utilities/GenericDataMaker.py
index 4a029f8..2e14ec7 100755
--- a/Utilities/GenericDataMaker.py
+++ b/Utilities/GenericDataMaker.py
@@ -5,7 +5,7 @@
 * GenericDataMaker
 * Adds spectra to single file for classification
 * File must be in TXT format
-* version: v2023.12.15.1
+* version: v2024.10.07.1
 * By: Nicola Ferralis <feranick@hotmail.com>
 **************************************************
 '''
@@ -193,7 +193,7 @@ def saveLearningFile(M, learnFileRoot):
     else:
         learnFile = learnFileRoot+'.h5'
         with h5py.File(learnFile, 'w') as hf:
-            hf.create_dataset("M",  data=M)
+            hf.create_dataset("M",  data=M.astype(np.float64))
         print(" Saving new training file (hdf5) in: "+learnFile+"\n")
 
 #************************************
diff --git a/Utilities/RandomCrossValidMaker.py b/Utilities/RandomCrossValidMaker.py
index 39e5356..37b6cd4 100755
--- a/Utilities/RandomCrossValidMaker.py
+++ b/Utilities/RandomCrossValidMaker.py
@@ -4,7 +4,7 @@
 ***********************************************
 * Create Random Cross Validation Datasets
 * Train + Test
-* version: v2023.12.19.1
+* version: v2024.10.07.1
 * By: Nicola Ferralis <feranick@hotmail.com>
 ***********************************************
 '''
@@ -129,7 +129,7 @@ def writeFile(File, En, A, Cl):
             np.savetxt(f, newMatrix, delimiter='\t', fmt='%10.6f')
     else:
         with h5py.File(File, 'w') as hf:
-            hf.create_dataset("M",  data=newMatrix)
+            hf.create_dataset("M",  data=newMatrix.astype(np.float64))
 
 #************************************
 ''' Main initialization routine '''
diff --git a/Utilities/RruffDataMaker.py b/Utilities/RruffDataMaker.py
index ef0b816..4252f29 100755
--- a/Utilities/RruffDataMaker.py
+++ b/Utilities/RruffDataMaker.py
@@ -5,7 +5,7 @@
 * RRuffDataMaker
 * Adds spectra to single file for classification
 * File must be in RRuFF
-* version: v2023.12.15.1
+* version: v2024.10.07.1
 * By: Nicola Ferralis <feranick@hotmail.com>
 *************************************************
 '''
@@ -174,7 +174,7 @@ def saveLearningFile(M, learnFileRoot):
     else:
         learnFile = learnFileRoot+'.h5'
         with h5py.File(learnFile, 'w') as hf:
-            hf.create_dataset("M",  data=M)
+            hf.create_dataset("M",  data=M.astype(np.float64))
         print(" Saving new training file (hdf5) in: "+learnFile+"\n")
 
 #************************************
diff --git a/Utilities/XmuDataMaker.py b/Utilities/XmuDataMaker.py
index 5c0be4c..60d05f9 100755
--- a/Utilities/XmuDataMaker.py
+++ b/Utilities/XmuDataMaker.py
@@ -5,7 +5,7 @@
 * XmuDataMaker
 * Adds spectra to single file for classification
 * File must be in Xmu
-* version: v2023.12.15.1
+* version: v2024.10.07.1
 * By: Nicola Ferralis <feranick@hotmail.com>
 *************************************************
 '''
@@ -171,7 +171,7 @@ def saveLearningFile(M, learnFileRoot):
     else:
         learnFile = learnFileRoot+'.h5'
         with h5py.File(learnFile, 'w') as hf:
-            hf.create_dataset("M",  data=M)
+            hf.create_dataset("M",  data=M.astype(np.float64))
         print(" Saving new training file (hdf5) in: "+learnFile+"\n")
 
 #************************************