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-rw-r--r--scripts/code_tools/modified_strings.py16
1 files changed, 8 insertions, 8 deletions
diff --git a/scripts/code_tools/modified_strings.py b/scripts/code_tools/modified_strings.py
index 20ed1b0555..c777fc8c0d 100644
--- a/scripts/code_tools/modified_strings.py
+++ b/scripts/code_tools/modified_strings.py
@@ -49,7 +49,7 @@ into google sheets.
If the --rev revision already contains a translation for the text, it
will be included in the spreadsheet for reference.
-
+
Normally you would want --rev_base to be the last revision to have
translations added, and --rev to be the tip of the current
project. You can find the last commit with translation work using "git log --grep INTL- | head"
@@ -242,7 +242,7 @@ def find_deletions(mod_tree, base_tree, lang, args, f):
mod_filename = transl_filename.replace("/xui/{}/".format(lang), "/xui/{}/".format(args.base_lang))
#print("checking",transl_filename,"against",mod_filename)
try:
- mod_blob = mod_tree[mod_filename]
+ mod_blob = mod_tree[mod_filename]
except:
print(" delete file", transl_filename, file=f)
continue
@@ -257,7 +257,7 @@ def find_deletions(mod_tree, base_tree, lang, args, f):
if not elt_key in mod_dict:
if lines == 0:
print(" in file", transl_filename, file=f)
- lines += 1
+ lines += 1
print(" delete element", elt_key, file=f)
else:
transl_elt = transl_dict[elt_key]
@@ -266,14 +266,14 @@ def find_deletions(mod_tree, base_tree, lang, args, f):
if not a in mod_elt.attrib:
if lines == 0:
print(" in file", transl_filename, file=f)
- lines += 1
+ lines += 1
print(" delete attribute", a, "from", elt_key, file=f)
if transl_elt.text and (not mod_elt.text):
if lines == 0:
print(" in file", transl_filename, file=f)
- lines += 1
+ lines += 1
print(" delete text from", elt_key, file=f)
-
+
def save_translation_file(per_lang_data, aux_data, outfile):
langs = sorted(per_lang_data.keys())
@@ -310,12 +310,12 @@ def save_translation_file(per_lang_data, aux_data, outfile):
# Reference info, not for translation
for aux, data in list(aux_data.items()):
- df = pd.DataFrame(data, columns = ["Key", "Value"])
+ df = pd.DataFrame(data, columns = ["Key", "Value"])
df.to_excel(writer, index=False, sheet_name=aux)
worksheet = writer.sheets[aux]
worksheet.set_column('A:A', 50, bold_wrap_format)
worksheet.set_column('B:B', 80, wrap_format)
-
+
print("Writing", outfile)
writer.save()