From fdc39cd8623157b7b93817484bd7580f37c02afe Mon Sep 17 00:00:00 2001
From: NT <nils.thuerey@tum.de>
Date: Tue, 29 Jun 2021 14:47:59 +0200
Subject: [PATCH] config and helpers

---
 _config.yml              |  2 +-
 intro.md                 |  4 ++--
 json-ipynb-removeImgs.py | 41 ++++++++++++++++++++++++++++++++++++++++
 3 files changed, 44 insertions(+), 3 deletions(-)
 create mode 100644 json-ipynb-removeImgs.py

diff --git a/_config.yml b/_config.yml
index 33df2fa..bc101c2 100644
--- a/_config.yml
+++ b/_config.yml
@@ -2,7 +2,7 @@
 # Learn more at https://jupyterbook.org/customize/config.html
 
 title: Physics-based Deep Learning
-author: Thuerey et al.
+author: N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um
 logo: resources/logo.jpg
 
 # Force re-execution of notebooks on each build.
diff --git a/intro.md b/intro.md
index 0e2692b..b0e5e38 100644
--- a/intro.md
+++ b/intro.md
@@ -81,12 +81,12 @@ This project would not have been possible without the help of many people who co
 
 If you find this book useful, please cite it via:
 ```
-@article{thuerey2021pbdl,
+@book{thuerey2021pbdl,
   title={Physics-based Deep Learning},
   author={Nils Thuerey and Philipp Holl and Maximilian Mueller and Patrick Schnell and Felix Trost and Kiwon Um},
   url={http://physicsbaseddeeplearning.org},
   year={2021},
-  publisher={www}
+  publisher={WWW}
 }
 ```
 
diff --git a/json-ipynb-removeImgs.py b/json-ipynb-removeImgs.py
new file mode 100644
index 0000000..e30a6ee
--- /dev/null
+++ b/json-ipynb-removeImgs.py
@@ -0,0 +1,41 @@
+import json
+
+fnOut="temp_reduced.txt"
+
+#fn="t.json"
+fn="temp.txt"
+with open(fn) as file:
+	d = json.load(file)
+
+print(d.keys())
+#print(d["cells"][0].keys())
+
+t="cells"
+for i in range(len(d[t])):
+	#for i in range(len(d[t])):
+		#print(d[t][0]["cell_type"])
+	#print(d[t][i]["cell_type"])
+
+	# remove images after code
+
+	if d[t][i]["cell_type"]=="code":
+		#print(d[t][i].keys())
+		#d[t][i]["outputs"] = ""
+		#print(d[t][i]["outputs"])
+
+		#print(len( d[t][i]["outputs"] ))
+		for j in range(len( d[t][i]["outputs"] )):
+			#print(type( d[t][i]["outputs"][j] ))
+			print( d[t][i]["outputs"][j].keys() )
+			if d[t][i]["outputs"][j]["output_type"]=="display_data":
+				#if d[t][i]["outputs"][j]["data"]=="display_data":
+				print(  d[t][i]["outputs"][j]["data"].keys() )
+				#if(  d[t][i]["outputs"][j]["data"].contains('image/png') ):
+				if( 'image/png' in d[t][i]["outputs"][j]["data"].keys() ):
+					d[t][i]["outputs"][j]["data"]['image/png'] = ""
+
+#print(d["cells"])
+
+with open(fnOut,'w') as fileOut:
+	json.dump(d,fileOut, indent=1, sort_keys=True)
+