conversion scripts

Author: rflamary

docs/cache_nbrun

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+{"plot_barycenter_1D.ipynb": "6fd8167f98816dc832fe0c58b1d5527b", "plot_otda_mapping.ipynb": "d335a15af828aaa3439a1c67570d79d6"}

docs/nb_run_conv

@@ -0,0 +1,84 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+
+Convert sphinx gallery notebook from empty to image filled
+
+Created on Fri Sep  1 16:43:45 2017
+
+@author: rflamary
+"""
+
+import sys
+import json
+import glob
+import hashlib
+import subprocess
+
+import os
+
+cache_file='cache_nbrun'
+
+path_doc='source/auto_examples/'
+path_nb='../../../notebooks/'
+
+def load_json(fname):
+    try:
+        f=open(fname)
+        nb=json.load(f)
+        f.close()
+    except (OSError, IOError) :
+        nb={}
+    return nb
+
+def save_json(fname,nb):
+    f=open(fname,'w')
+    f.write(json.dumps(nb))
+    f.close()
+
+
+def md5(fname):
+    hash_md5 = hashlib.md5()
+    with open(fname, "rb") as f:
+        for chunk in iter(lambda: f.read(4096), b""):
+            hash_md5.update(chunk)
+    return hash_md5.hexdigest()
+
+def to_update(fname,cache):
+    if fname in cache:
+        if md5(path_doc+fname)==cache[fname]:
+            res=False
+        else:
+            res=True
+    else:
+        res=True
+    
+    return res
+
+def update(fname,cache):
+    
+    # jupyter nbconvert --to notebook --execute mynotebook.ipynb --output targte
+    print(' '.join(['jupyter','nbconvert','--to','notebook','--execute',path_doc+fname,'--output',path_nb+fname]))
+    subprocess.check_call(['jupyter','nbconvert','--to','notebook','--execute',path_doc+fname,'--output',path_nb+fname])
+    cache[fname]=md5(path_doc+fname)
+    
+
+
+cache=load_json(cache_file)
+
+lst_file=glob.glob(path_doc+'*.ipynb')
+
+lst_file=[os.path.basename(name) for name in lst_file]
+
+for fname in lst_file:
+    if to_update(fname,cache):
+        print('Updating file: {}'.format(fname))
+        update(fname,cache)
+
+
+
+
+update(lst_file[0],cache)
+
+
+save_json(cache_file,cache)