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author | Howard Stearns <howard.stearns@gmail.com> | 2022-02-28 15:54:23 -0800 |
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committer | Howard Stearns <howard.stearns@gmail.com> | 2022-02-28 15:54:23 -0800 |
commit | 130d0c0704c97a427bc28f9164f71ce67535e894 (patch) | |
tree | b27e61d8c2e3aeb91ecd1b0b8177ff2a7bdb665e /scripts/code_tools | |
parent | 932b7de5309bc8599655ebb77666c41f5a81cfa9 (diff) | |
parent | 6ca09a94554ec01f5c94ec60fffd01d7e33f3546 (diff) |
Merge branch 'master' of bitbucket.org:lindenlab/viewer into SL-9749
Diffstat (limited to 'scripts/code_tools')
-rw-r--r-- | scripts/code_tools/modified_strings.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/scripts/code_tools/modified_strings.py b/scripts/code_tools/modified_strings.py index 6a763b6ec5..e7a9d239dc 100644 --- a/scripts/code_tools/modified_strings.py +++ b/scripts/code_tools/modified_strings.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python +#!/usr/bin/env python3 """\ This script scans the SL codebase for translation-related strings. @@ -25,7 +25,7 @@ Linden Research, Inc., 945 Battery Street, San Francisco, CA 94111 USA $/LicenseInfo$ """ -from __future__ import print_function + import xml.etree.ElementTree as ET import argparse @@ -75,10 +75,10 @@ translate_attribs = [ ] def codify_for_print(val): - if isinstance(val, unicode): + if isinstance(val, str): return val.encode("utf-8") else: - return unicode(val, 'utf-8').encode("utf-8") + return str(val, 'utf-8').encode("utf-8") # Returns a dict of { name => xml_node } def read_xml_elements(blob): @@ -186,7 +186,7 @@ def make_translation_table(mod_tree, base_tree, lang, args): transl_dict = read_xml_elements(transl_blob) rows = 0 - for name in mod_dict.keys(): + for name in list(mod_dict.keys()): if not name in base_dict or mod_dict[name].text != base_dict[name].text or (args.missing and not name in transl_dict): elt = mod_dict[name] val = elt.text @@ -307,7 +307,7 @@ def save_translation_file(per_lang_data, aux_data, outfile): print("Added", num_translations, "rows for language", lang) # Reference info, not for translation - for aux, data in aux_data.items(): + for aux, data in list(aux_data.items()): df = pd.DataFrame(data, columns = ["Key", "Value"]) df.to_excel(writer, index=False, sheet_name=aux) worksheet = writer.sheets[aux] |