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if use_annotations and isinstance(v, str):
annotation = yaml_item_annotation_re.match(v)
if annotation and annotation.group("type") == "style":
custom_styles[annotation.group("key")] = annotation.group("value")
continue
elif annotation and annotation.group("type") == "tag":
custom_tags[annotation.group("key")] = annotation.group("value")
continue
raw_list.append(v)
sequence = dumper.represent_list(raw_list)
if use_annotations:
for i, v in enumerate(sequence.value):
if str(i) in custom_styles:
if isinstance(v, yaml.nodes.ScalarNode):
v.style = custom_styles[str(i)]
elif custom_styles[str(i)] == "flow":
v.flow_style = True
if str(i) in custom_tags:
v.tag = custom_tags[str(i)]
return sequence
def represent_dict_order(dumper, data):
pairs, custom_styles, custom_tags = [], {}, {}
for k, v in data.items():
if use_annotations and isinstance(k, str):
value_annotation = yaml_value_annotation_re.match(k)
if value_annotation and value_annotation.group("type") == "style":
custom_styles[value_annotation.group("key")] = v
continue
elif value_annotation and value_annotation.group("type") == "tag":
custom_tags[value_annotation.group("key")] = v
continue
pairs.append((k, v))
mapping = dumper.represent_mapping("tag:yaml.org,2002:map", pairs)
if use_annotations:
for k, v in mapping.value:
hashed_key = hash_key(k.value)
if hashed_key in custom_styles:
if isinstance(v, yaml.nodes.ScalarNode):
v.style = custom_styles[hashed_key]
elif custom_styles[hashed_key] == "flow":