def clone_sheet(sheet, lib) : f = StringIO() serializer.pickle_dfs_model(sheet, f) f.seek(0) cloned = serializer.unpickle_dfs_model(f, lib=lib, use_cached_proto=False) return cloned
blockfactory = w.blockfactory
try:
with open(fname, "rb") as f:
unpickle_workbench(f, w)
except:
print("error loading workbench file")
raise
# exit(666)
sheets = w.sheets
global_meta = w.get_meta()
else:
blockfactory = create_block_factory(
scan_dir=os.path.join(os.getcwd(), "library"))
try:
with open(fname, "rb") as f:
model = unpickle_dfs_model(f, lib=blockfactory)
except:
print("error loading sheet file")
exit(666)
sheets = {"tsk": model}
global_meta = {}
out_fobj = StringIO()
implement_workbench(sheets, global_meta, ccodegen, KNOWN_TYPES,
blockfactory, out_fobj)
source = out_fobj.getvalue()
print source
blob_stream = StringIO()
rc, = build.build_source(
blockfactory = w.blockfactory
try :
with open(fname, "rb") as f :
unpickle_workbench(f, w)
except :
print("error loading workbench file")
raise
# exit(666)
sheets = w.sheets
global_meta = w.get_meta()
else :
blockfactory = create_block_factory(
scan_dir=os.path.join(os.getcwd(), "library"))
try :
with open(fname, "rb") as f :
model = unpickle_dfs_model(f, lib=blockfactory)
except :
print("error loading sheet file")
exit(666)
sheets = { "tsk" : model }
global_meta = {}
out_fobj = StringIO()
implement_workbench(sheets, global_meta,
ccodegen, KNOWN_TYPES, blockfactory, out_fobj)
source = out_fobj.getvalue()
print source
blob_stream = StringIO()
rc, = build.build_source(w.get_board(), source,
