def _create_lang_script_to_names(lang_script_data):
"""Generate a map from lang-script to English (and possibly native) names.
Whether the script is included in the name depends on the number of used and unused scripts.
If there's one used script, that script is omitted.
Else if there's no used script and one unused script, that script is omitted.
Else the script is included.
If there's no English name for the lang_script, it is excluded."""
lang_to_names = {}
for lang in lang_script_data:
used, unused = lang_script_data[lang]
if len(used) == 1:
exclude_script = iter(used).next()
elif not used and len(unused) == 1:
exclude_script = iter(unused).next()
else:
exclude_script = ''
for script in (used | unused):
lang_script = lang + '-' + script
target = lang if script == exclude_script else lang_script
# special case, not generally useful
if target.startswith('und-'):
en_name = cldr_data.get_english_script_name(target[4:]) + ' script'
else:
en_name = cldr_data.get_english_language_name(target)
if not en_name:
print '!No english name for %s' % lang_script
continue
native_name = cldr_data.get_native_language_name(lang_script, exclude_script)
if native_name == en_name:
native_name = None
lang_to_names[lang_script] = [en_name, native_name] if native_name else [en_name]
return lang_to_names
def generate_table(filename):
with codecs.open(filename, "w", "utf-8") as f:
script_to_samples = _get_script_to_samples()
f.write(_HTML_HEADER)
f.write("<table>\n")
f.write("<tr><th>Script<br/>BCP<th>name<th>type<th>text\n")
for script, samples in sorted(script_to_samples.items()):
script_en = cldr_data.get_english_script_name(script)
f.write("<tr><th colspan=4>%s\n" % script_en)
for bcp, sample_type, sample_text in samples:
try:
lsrv = cldr_data.loc_tag_to_lsrv(bcp)
lsrv = (lsrv[0], None, lsrv[2], lsrv[3])
bcp_no_script = cldr_data.lsrv_to_loc_tag(lsrv)
bcp_en = cldr_data.get_english_language_name(bcp_no_script)
if not bcp_en:
bcp_en = "No name"
if bcp_en == "Unknown Language" and sample_type == "chars":
bcp_en = "(characters)"
except:
print("could not get english name for %s" % bcp)
bcp_en = bcp
cols = ["<tr>"]
cols.append(bcp_no_script)
cols.append(bcp_en)
cols.append(sample_type)
cols.append(sample_text)
f.write("<td>".join(cols) + "\n")
f.write("<tr><td colspan=4> \n")
f.write("</table>\n")
f.write(_HTML_FOOTER + "\n")
def generate_table(filename):
with codecs.open(filename, 'w', 'utf-8') as f:
script_to_samples = _get_script_to_samples()
print >> f, _HTML_HEADER
print >> f, '<table>'
print >> f, '<tr><th>Script<br/>BCP<th>name<th>type<th>text'
for script, samples in sorted(script_to_samples.iteritems()):
script_en = cldr_data.get_english_script_name(script)
print >> f, '<tr><th colspan=4>%s' % script_en
for bcp, sample_type, sample_text in samples:
try:
lsrv = cldr_data.loc_tag_to_lsrv(bcp)
lsrv = (lsrv[0], None, lsrv[2], lsrv[3])
bcp_no_script = cldr_data.lsrv_to_loc_tag(lsrv)
bcp_en = cldr_data.get_english_language_name(bcp_no_script)
if not bcp_en:
bcp_en = 'No name'
if bcp_en == 'Unknown Language' and sample_type == 'chars':
bcp_en = '(characters)'
except:
print 'could not get english name for %s' % bcp
bcp_en = bcp
cols = ['<tr>']
cols.append(bcp_no_script)
cols.append(bcp_en)
cols.append(sample_type)
cols.append(sample_text)
print >> f, '<td>'.join(cols)
print >> f, '<tr><td colspan=4> '
print >> f, '</table>'
print >> f, _HTML_FOOTER
def lang_key(lang_tag):
name = cldr_data.get_english_language_name(lang_tag)
if not name:
print 'no name for %s' % lang_tag
return None
if name.endswith (' script)'):
ix = name.rfind('(') - 1
script_sfx = ' ' + name[ix + 2: len(name) - 8]
name = name[:ix]
else:
script_sfx = ''
key = name
for prefix in ['Ancient', 'Central', 'Eastern', 'Lower', 'Middle', 'North',
'Northern', 'Old', 'Southern', 'Southwestern', 'Upper',
'West', 'Western']:
if name.startswith(prefix + ' '):
key = name[len(prefix) + 1:] + ' ' + name[:len(prefix)]
break
for cluster in ['Arabic', 'French', 'Chinese', 'English', 'German', 'Hindi',
'Malay', 'Nahuatl', 'Tamazight', 'Thai']:
if name.find(cluster) != -1:
key = cluster + '-' + name
break
return key + script_sfx
def generate_table(filename):
with codecs.open(filename, 'w', 'utf-8') as f:
script_to_samples = _get_script_to_samples()
print >> f, _HTML_HEADER
print >> f, '<table>'
print >> f, '<tr><th>Script<br/>BCP<th>name<th>type<th>text'
for script, samples in sorted(script_to_samples.iteritems()):
script_en = cldr_data.get_english_script_name(script)
print >> f, '<tr><th colspan=4>%s' % script_en
for bcp, sample_type, sample_text in samples:
try:
lsrv = cldr_data.loc_tag_to_lsrv(bcp)
lsrv = (lsrv[0], None, lsrv[2], lsrv[3])
bcp_no_script = cldr_data.lsrv_to_loc_tag(lsrv)
bcp_en = cldr_data.get_english_language_name(bcp_no_script)
if not bcp_en:
bcp_en = 'No name'
if bcp_en == 'Unknown Language' and sample_type == 'chars':
bcp_en = '(characters)'
except:
print 'could not get english name for %s' % bcp
bcp_en = bcp
cols = ['<tr>']
cols.append(bcp_no_script)
cols.append(bcp_en)
cols.append(sample_type)
cols.append(sample_text)
print >> f, '<td>'.join(cols)
print >> f, '<tr><td colspan=4> '
print >> f, '</table>'
print >> f, _HTML_FOOTER
def lang_key(lang_tag):
name = cldr_data.get_english_language_name(lang_tag)
if not name:
print 'no name for %s' % lang_tag
return None
if name.endswith(' script)'):
ix = name.rfind('(') - 1
script_sfx = ' ' + name[ix + 2:len(name) - 8]
name = name[:ix]
else:
script_sfx = ''
key = name
for prefix in [
'Ancient', 'Central', 'Eastern', 'Lower', 'Middle', 'North',
'Northern', 'Old', 'Southern', 'Southwestern', 'Upper', 'West',
'Western'
]:
if name.startswith(prefix + ' '):
key = name[len(prefix) + 1:] + ' ' + name[:len(prefix)]
break
for cluster in [
'Arabic', 'French', 'Chinese', 'English', 'German', 'Hindi',
'Malay', 'Nahuatl', 'Tamazight', 'Thai'
]:
if name.find(cluster) != -1:
key = cluster + '-' + name
break
return key + script_sfx
def _create_lang_script_to_names(lang_script_data):
"""Generate a map from lang-script to English (and possibly native) names.
Whether the script is included in the name depends on the number of used
and unused scripts. If there's one used script, that script is omitted.
Else if there's no used script and one unused script, that script is
omitted. Else the script is included. If there's no English name for
the lang_script, it is excluded.
"""
lang_to_names = {}
for lang in lang_script_data:
used, unused = lang_script_data[lang]
if len(used) == 1:
exclude_script = iter(used).next()
elif not used and len(unused) == 1:
exclude_script = iter(unused).next()
else:
exclude_script = ''
for script in (used | unused):
lang_script = lang + '-' + script
target = lang if script == exclude_script else lang_script
# special case, not generally useful
if target.startswith('und-'):
en_name = cldr_data.get_english_script_name(
target[4:]) + ' script'
else:
en_name = cldr_data.get_english_language_name(target)
if not en_name:
# Easier than patching the cldr_data, not sure I want to go there.
if lang_script == 'tlh-Piqd':
en_name = u'Klingon'
else:
_log('No english name for %s' % lang_script)
continue
native_name = cldr_data.get_native_language_name(
lang_script, exclude_script)
if native_name == en_name:
native_name = None
lang_to_names[lang_script] = ([en_name, native_name]
if native_name else [en_name])
return lang_to_names
def build_data_json(self, families, family_zip_info, universal_zip_info,
family_id_to_lang_tags, family_id_to_regions,
lang_tag_to_family_ids, region_to_family_ids):
data_obj = collections.OrderedDict()
families_obj = collections.OrderedDict()
# Sort families by English name, except 'Noto Sans' and 'Noto Serif' come first
family_ids = [family_id for family_id in families if family_id != 'sans' and family_id != 'serif']
family_ids = sorted(family_ids, key=lambda f: families[f].name)
sorted_ids = ['sans', 'serif']
sorted_ids.extend(family_ids)
for k in sorted_ids:
family = families[k]
family_obj = {}
family_obj['name'] = family.name
name, hinted_size, unhinted_size = family_zip_info[k]
pkg_obj = collections.OrderedDict()
if hinted_size:
pkg_obj['hinted'] = hinted_size
if unhinted_size:
pkg_obj['unhinted'] = unhinted_size
family_obj['pkgSize'] = pkg_obj
family_obj['fonts'] = len(family.hinted_members or family.unhinted_members)
family_obj['langs'] = len(family_id_to_lang_tags[k])
family_obj['regions'] = len(family_id_to_regions[k])
families_obj[k] = family_obj
data_obj['family'] = families_obj
data_obj['familyOrder'] = sorted_ids
langs_obj = collections.OrderedDict()
# Dont list 'und-' lang tags, these are for default samples and not listed in the UI
lang_tags = [lang for lang in lang_tag_to_family_ids if not lang.startswith('und-')]
lang_tags = sorted(lang_tags, key=lambda l: cldr_data.get_english_language_name(l))
for lang in lang_tags:
lang_obj = collections.OrderedDict()
english_name = cldr_data.get_english_language_name(lang)
lang_obj['name'] = english_name
lang_obj['families'] = sorted(lang_tag_to_family_ids[lang])
native_name = cldr_data.get_native_language_name(lang)
if native_name and native_name != english_name:
lang_obj['keywords'] = [native_name]
langs_obj[lang] = lang_obj
data_obj['lang'] = langs_obj
regions_obj = collections.OrderedDict()
for region in sorted(region_to_family_ids,
key=lambda r: cldr_data.get_english_region_name(r)):
region_obj = collections.OrderedDict()
region_obj['families'] = sorted(region_to_family_ids[region])
region_obj['keywords'] = [cldr_data.get_english_region_name(region)]
regions_obj[region] = region_obj
data_obj['region'] = regions_obj
pkg_obj = collections.OrderedDict()
pkg_obj['hinted'] = universal_zip_info[1]
pkg_obj['unhinted'] = universal_zip_info[2]
data_obj['pkgSize'] = pkg_obj
self.write_json(data_obj, 'data')
def generate(self):
if self.clean:
self.clean_target_dir()
if not self.no_build:
self.ensure_target_dirs_exist()
# debug/print
# ['families', 'script_to_family_ids', 'used_lang_data',
# 'family_id_to_lang_tags', 'family_id_to_default_lang_tag']
debug = frozenset([])
fonts = get_noto_fonts()
families = get_families(fonts)
if 'families' in debug:
print '\nfamilies'
for family_id, family in sorted(families.iteritems()):
print family_id, family.rep_member.script
script_to_family_ids = get_script_to_family_ids(families)
if 'script_to_family_ids' in debug:
print '\nscript to family ids'
for script, family_ids in sorted(script_to_family_ids.iteritems()):
print script, family_ids
supported_scripts = set(script_to_family_ids.keys())
used_lang_data = get_used_lang_data(supported_scripts)
if 'used_lang_data' in debug:
print '\nused lang data'
for lang, data in sorted(used_lang_data.iteritems()):
used = ', '.join(data[0])
unused = ', '.join(data[1])
if unused:
unused = '(' + unused + ')'
if used:
unused = ' ' + unused
print '%s: %s%s' % (lang, used, unused)
langs_to_delete = []
for lang in used_lang_data.keys():
if not cldr_data.get_english_language_name(lang):
langs_to_delete.append(lang)
if langs_to_delete:
print 'deleting languages with no english name: %s' % langs_to_delete
for lang in langs_to_delete:
del used_lang_data[lang]
lang_tag_to_family_ids = get_lang_tag_to_family_ids(used_lang_data, script_to_family_ids)
region_to_family_ids = get_region_to_family_ids(script_to_family_ids)
family_id_to_lang_tags = get_family_id_to_lang_tags(lang_tag_to_family_ids, families)
if 'family_id_to_lang_tags' in debug:
print '\nfamily id to lang tags'
for family_id, lang_tags in sorted(family_id_to_lang_tags.iteritems()):
print '%s: %s' % (family_id, ','.join(sorted(lang_tags)))
family_id_to_regions = get_family_id_to_regions(region_to_family_ids, families)
family_id_to_default_lang_tag = get_family_id_to_default_lang_tag(
family_id_to_lang_tags)
if 'family_id_to_default_lang_tag' in debug:
print '\nfamily id to default lang tag'
for family_id, lang_tag in family_id_to_default_lang_tag.iteritems():
print family_id, lang_tag
used_lang_tags = get_used_lang_tags(
lang_tag_to_family_ids.keys(), family_id_to_default_lang_tag.values())
lang_tag_to_sample_data = get_lang_tag_to_sample_data(used_lang_tags)
# find the samples that can't be displayed.
tested_keys = set()
failed_keys = set()
family_langs_to_remove = {}
for lang_tag in sorted(lang_tag_to_sample_data):
sample_info = lang_tag_to_sample_data[lang_tag]
sample = sample_info[1]
sample_key = sample_info[3]
for family_id in sorted(lang_tag_to_family_ids[lang_tag]):
full_key = sample_key + '-' + family_id
if full_key in tested_keys:
if full_key in failed_keys:
print 'failed sample %s lang %s' % (full_key, lang_tag)
if family_id not in family_langs_to_remove:
family_langs_to_remove[family_id] = set()
family_langs_to_remove[family_id].add(lang_tag)
continue
failed_cps = set()
tested_keys.add(full_key)
charset = families[family_id].charset
for cp in sample:
if ord(cp) in [0xa, 0x28, 0x29, 0x2c, 0x2d, 0x2e, 0x3b, 0x5b, 0x5d, 0x2010]:
continue
if ord(cp) not in charset:
failed_cps.add(ord(cp))
if failed_cps:
print 'sample %s cannot be displayed in %s (lang %s):\n %s' % (
sample_key, family_id, lang_tag,
'\n '.join('%04x (%s)' % (cp, unichr(cp)) for cp in sorted(failed_cps)))
failed_keys.add(full_key)
if family_id not in family_langs_to_remove:
family_langs_to_remove[family_id] = set()
family_langs_to_remove[family_id].add(lang_tag)
for family_id in sorted(family_langs_to_remove):
langs_to_remove = family_langs_to_remove[family_id]
print 'remove from %s: %s' % (family_id, ','.join(sorted(langs_to_remove)))
family_id_to_lang_tags[family_id] -= langs_to_remove
default_lang_tag = family_id_to_default_lang_tag[family_id]
if default_lang_tag in langs_to_remove:
print '!removing default lang tag %s for family %s' % (
default_lang_tag, family_id)
for lang in langs_to_remove:
lang_tag_to_family_ids[lang] -= set([family_id])
region_data = get_region_lat_lng_data(region_to_family_ids.keys())
lang_tag_sort_order = get_lang_tag_sort_order(lang_tag_to_family_ids.keys())
if self.no_build:
print 'skipping build output'
return
# build outputs
if self.no_zips:
print 'skipping zip output'
else:
family_zip_info = self.build_zips(families)
universal_zip_info = self.build_universal_zips(families)
# build outputs not used by the json but linked to from the web page
self.build_ttc_zips()
if self.no_css:
print 'skipping css output'
else:
family_css_info = self.build_css(families)
if self.no_data or self.no_zips or self.no_css:
reason = '' if self.no_data else 'no zips' if self.no_zips else 'no css'
print 'skipping data output%s' % reason
else:
self.build_data_json(families, family_zip_info, universal_zip_info,
family_id_to_lang_tags, family_id_to_regions,
lang_tag_to_family_ids, region_to_family_ids)
self.build_families_json(families, family_id_to_lang_tags,
family_id_to_default_lang_tag,
family_id_to_regions, family_css_info,
lang_tag_sort_order)
self.build_misc_json(lang_tag_to_sample_data, region_data)
if self.no_images:
print 'skipping image output'
else:
self.build_images(families, family_id_to_lang_tags,
family_id_to_default_lang_tag, lang_tag_to_sample_data)
def generate(self):
if self.clean:
self.clean_target_dir()
if not self.no_build:
self.ensure_target_dirs_exist()
# debug/print
# ['families', 'script_to_family_ids', 'used_lang_data',
# 'family_id_to_lang_tags', 'family_id_to_default_lang_tag']
debug = frozenset([])
fonts = noto_fonts.get_noto_fonts()
families = noto_fonts.get_families(fonts)
if 'families' in debug:
print '\nfamilies'
for family_id, family in sorted(families.iteritems()):
print family_id, family.rep_member.script
script_to_family_ids = get_script_to_family_ids(families)
if 'script_to_family_ids' in debug:
print '\nscript to family ids'
for script, family_ids in sorted(script_to_family_ids.iteritems()):
print script, family_ids
supported_scripts = set(script_to_family_ids.keys())
used_lang_data = get_used_lang_data(supported_scripts)
if 'used_lang_data' in debug:
print '\nused lang data'
for lang, data in sorted(used_lang_data.iteritems()):
used = ', '.join(data[0])
unused = ', '.join(data[1])
if unused:
unused = '(' + unused + ')'
if used:
unused = ' ' + unused
print '%s: %s%s' % (lang, used, unused)
langs_to_delete = []
for lang in used_lang_data.keys():
if not cldr_data.get_english_language_name(lang):
langs_to_delete.append(lang)
if langs_to_delete:
print 'deleting languages with no english name: %s' % langs_to_delete
for lang in langs_to_delete:
del used_lang_data[lang]
lang_tag_to_family_ids = get_lang_tag_to_family_ids(
used_lang_data, script_to_family_ids)
region_to_family_ids = get_region_to_family_ids(script_to_family_ids)
family_id_to_lang_tags = get_family_id_to_lang_tags(
lang_tag_to_family_ids, families)
if 'family_id_to_lang_tags' in debug:
print '\nfamily id to lang tags'
for family_id, lang_tags in sorted(
family_id_to_lang_tags.iteritems()):
print '%s: %s' % (family_id, ','.join(sorted(lang_tags)))
family_id_to_regions = get_family_id_to_regions(
region_to_family_ids, families)
family_id_to_default_lang_tag = get_family_id_to_default_lang_tag(
family_id_to_lang_tags)
if 'family_id_to_default_lang_tag' in debug:
print '\nfamily id to default lang tag'
for family_id, lang_tag in family_id_to_default_lang_tag.iteritems(
):
print family_id, lang_tag
used_lang_tags = get_used_lang_tags(
lang_tag_to_family_ids.keys(),
family_id_to_default_lang_tag.values())
lang_tag_to_sample_data = get_lang_tag_to_sample_data(used_lang_tags)
# find the samples that can't be displayed.
tested_keys = set()
failed_keys = set()
family_langs_to_remove = {}
for lang_tag in sorted(lang_tag_to_sample_data):
sample_info = lang_tag_to_sample_data[lang_tag]
sample = sample_info[1]
sample_key = sample_info[3]
for family_id in sorted(lang_tag_to_family_ids[lang_tag]):
full_key = sample_key + '-' + family_id
if full_key in tested_keys:
if full_key in failed_keys:
print 'failed sample %s lang %s' % (full_key, lang_tag)
if family_id not in family_langs_to_remove:
family_langs_to_remove[family_id] = set()
family_langs_to_remove[family_id].add(lang_tag)
continue
failed_cps = set()
tested_keys.add(full_key)
charset = families[family_id].charset
for cp in sample:
if ord(cp) in [
0xa, 0x28, 0x29, 0x2c, 0x2d, 0x2e, 0x3b, 0x5b,
0x5d, 0x2010
]:
continue
if ord(cp) not in charset:
failed_cps.add(ord(cp))
if failed_cps:
print 'sample %s cannot be displayed in %s (lang %s):\n %s' % (
sample_key, family_id, lang_tag, '\n '.join(
'%04x (%s)' % (cp, unichr(cp))
for cp in sorted(failed_cps)))
failed_keys.add(full_key)
if family_id not in family_langs_to_remove:
family_langs_to_remove[family_id] = set()
family_langs_to_remove[family_id].add(lang_tag)
for family_id in sorted(family_langs_to_remove):
langs_to_remove = family_langs_to_remove[family_id]
print 'remove from %s: %s' % (family_id, ','.join(
sorted(langs_to_remove)))
family_id_to_lang_tags[family_id] -= langs_to_remove
default_lang_tag = family_id_to_default_lang_tag[family_id]
if default_lang_tag in langs_to_remove:
print '!removing default lang tag %s for family %s' % (
default_lang_tag, family_id)
for lang in langs_to_remove:
lang_tag_to_family_ids[lang] -= set([family_id])
region_data = get_region_lat_lng_data(region_to_family_ids.keys())
lang_tag_sort_order = get_lang_tag_sort_order(
lang_tag_to_family_ids.keys())
if self.no_build:
print 'skipping build output'
return
# build outputs
if self.no_zips:
print 'skipping zip output'
else:
family_zip_info = self.build_zips(families)
universal_zip_info = self.build_universal_zips(families)
# build outputs not used by the json but linked to from the web page
self.build_ttc_zips()
if self.no_css:
print 'skipping css output'
else:
family_css_info = self.build_css(families)
if self.no_data or self.no_zips or self.no_css:
reason = '' if self.no_data else 'no zips' if self.no_zips else 'no css'
print 'skipping data output%s' % reason
else:
self.build_data_json(families, family_zip_info, universal_zip_info,
family_id_to_lang_tags, family_id_to_regions,
lang_tag_to_family_ids, region_to_family_ids)
self.build_families_json(families, family_id_to_lang_tags,
family_id_to_default_lang_tag,
family_id_to_regions, family_css_info,
lang_tag_sort_order)
self.build_misc_json(lang_tag_to_sample_data, region_data)
if self.no_images:
print 'skipping image output'
else:
self.build_images(families, family_id_to_lang_tags,
family_id_to_default_lang_tag,
lang_tag_to_sample_data)
def build_data_json(self, families, family_zip_info, universal_zip_info,
family_id_to_lang_tags, family_id_to_regions,
lang_tag_to_family_ids, region_to_family_ids):
data_obj = collections.OrderedDict()
families_obj = collections.OrderedDict()
# Sort families by English name, except 'Noto Sans' and 'Noto Serif' come first
family_ids = [
family_id for family_id in families
if family_id != 'sans' and family_id != 'serif'
]
family_ids = sorted(family_ids, key=lambda f: families[f].name)
sorted_ids = ['sans', 'serif']
sorted_ids.extend(family_ids)
for k in sorted_ids:
family = families[k]
family_obj = {}
family_obj['name'] = family.name
name, hinted_size, unhinted_size = family_zip_info[k]
pkg_obj = collections.OrderedDict()
if hinted_size:
pkg_obj['hinted'] = hinted_size
if unhinted_size:
pkg_obj['unhinted'] = unhinted_size
family_obj['pkgSize'] = pkg_obj
family_obj['fonts'] = len(family.hinted_members
or family.unhinted_members)
family_obj['langs'] = len(family_id_to_lang_tags[k])
family_obj['regions'] = len(family_id_to_regions[k])
families_obj[k] = family_obj
data_obj['family'] = families_obj
data_obj['familyOrder'] = sorted_ids
langs_obj = collections.OrderedDict()
# Dont list 'und-' lang tags, these are for default samples and not listed in the UI
lang_tags = [
lang for lang in lang_tag_to_family_ids
if not lang.startswith('und-')
]
lang_tags = sorted(
lang_tags, key=lambda l: cldr_data.get_english_language_name(l))
for lang in lang_tags:
lang_obj = collections.OrderedDict()
english_name = cldr_data.get_english_language_name(lang)
lang_obj['name'] = english_name
lang_obj['families'] = sorted(lang_tag_to_family_ids[lang])
native_name = cldr_data.get_native_language_name(lang)
if native_name and native_name != english_name:
lang_obj['keywords'] = [native_name]
langs_obj[lang] = lang_obj
data_obj['lang'] = langs_obj
regions_obj = collections.OrderedDict()
for region in sorted(
region_to_family_ids,
key=lambda r: cldr_data.get_english_region_name(r)):
region_obj = collections.OrderedDict()
region_obj['families'] = sorted(region_to_family_ids[region])
region_obj['keywords'] = [
cldr_data.get_english_region_name(region)
]
regions_obj[region] = region_obj
data_obj['region'] = regions_obj
pkg_obj = collections.OrderedDict()
pkg_obj['hinted'] = universal_zip_info[1]
pkg_obj['unhinted'] = universal_zip_info[2]
data_obj['pkgSize'] = pkg_obj
self.write_json(data_obj, 'data')
