mirror of
https://github.com/rembo10/headphones.git
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Initial python3 changes
Mostly just updating libraries, removing string encoding/decoding, fixing some edge cases. No new functionality was added in this commit.
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from __future__ import division, absolute_import, print_function
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from collections import OrderedDict
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import yaml
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from .exceptions import ConfigReadError
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from .util import BASESTRING
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# YAML loading.
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class Loader(yaml.SafeLoader):
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"""A customized YAML loader. This loader deviates from the official
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YAML spec in a few convenient ways:
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- All strings as are Unicode objects.
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- All maps are OrderedDicts.
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- Strings can begin with % without quotation.
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"""
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# All strings should be Unicode objects, regardless of contents.
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def _construct_unicode(self, node):
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return self.construct_scalar(node)
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# Use ordered dictionaries for every YAML map.
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# From https://gist.github.com/844388
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def construct_yaml_map(self, node):
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data = OrderedDict()
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yield data
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value = self.construct_mapping(node)
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data.update(value)
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def construct_mapping(self, node, deep=False):
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if isinstance(node, yaml.MappingNode):
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self.flatten_mapping(node)
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else:
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raise yaml.constructor.ConstructorError(
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None, None,
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u'expected a mapping node, but found %s' % node.id,
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node.start_mark
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)
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mapping = OrderedDict()
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for key_node, value_node in node.value:
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key = self.construct_object(key_node, deep=deep)
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try:
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hash(key)
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except TypeError as exc:
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raise yaml.constructor.ConstructorError(
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u'while constructing a mapping',
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node.start_mark, 'found unacceptable key (%s)' % exc,
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key_node.start_mark
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)
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value = self.construct_object(value_node, deep=deep)
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mapping[key] = value
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return mapping
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# Allow bare strings to begin with %. Directives are still detected.
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def check_plain(self):
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plain = super(Loader, self).check_plain()
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return plain or self.peek() == '%'
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@staticmethod
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def add_constructors(loader):
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"""Modify a PyYAML Loader class to add extra constructors for strings
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and maps. Call this method on a custom Loader class to make it behave
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like Confuse's own Loader
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"""
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loader.add_constructor('tag:yaml.org,2002:str',
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Loader._construct_unicode)
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loader.add_constructor('tag:yaml.org,2002:map',
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Loader.construct_yaml_map)
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loader.add_constructor('tag:yaml.org,2002:omap',
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Loader.construct_yaml_map)
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Loader.add_constructors(Loader)
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def load_yaml(filename, loader=Loader):
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"""Read a YAML document from a file. If the file cannot be read or
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parsed, a ConfigReadError is raised.
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loader is the PyYAML Loader class to use to parse the YAML. By default,
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this is Confuse's own Loader class, which is like SafeLoader with
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extra constructors.
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"""
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try:
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with open(filename, 'rb') as f:
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return yaml.load(f, Loader=loader)
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except (IOError, yaml.error.YAMLError) as exc:
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raise ConfigReadError(filename, exc)
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def load_yaml_string(yaml_string, name, loader=Loader):
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"""Read a YAML document from a string. If the string cannot be parsed,
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a ConfigReadError is raised.
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`yaml_string` is a string to be parsed as a YAML document.
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`name` is the name to use in error messages.
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`loader` is the PyYAML Loader class to use to parse the YAML. By default,
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this is Confuse's own Loader class, which is like SafeLoader with
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extra constructors.
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"""
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try:
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return yaml.load(yaml_string, Loader=loader)
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except yaml.error.YAMLError as exc:
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raise ConfigReadError(name, exc)
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def parse_as_scalar(value, loader=Loader):
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"""Parse a value as if it were a YAML scalar to perform type conversion
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that is consistent with YAML documents.
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`value` should be a string. Non-string inputs or strings that raise YAML
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errors will be returned unchanged.
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`Loader` is the PyYAML Loader class to use for parsing, defaulting to
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Confuse's own Loader class.
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Examples with the default Loader:
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- '1' will return 1 as an integer
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- '1.0' will return 1 as a float
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- 'true' will return True
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- The empty string '' will return None
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"""
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# We only deal with strings
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if not isinstance(value, BASESTRING):
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return value
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try:
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loader = loader('')
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tag = loader.resolve(yaml.ScalarNode, value, (True, False))
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node = yaml.ScalarNode(tag, value)
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return loader.construct_object(node)
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except yaml.error.YAMLError:
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# Fallback to returning the value unchanged
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return value
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# YAML dumping.
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class Dumper(yaml.SafeDumper):
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"""A PyYAML Dumper that represents OrderedDicts as ordinary mappings
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(in order, of course).
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"""
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# From http://pyyaml.org/attachment/ticket/161/use_ordered_dict.py
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def represent_mapping(self, tag, mapping, flow_style=None):
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value = []
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node = yaml.MappingNode(tag, value, flow_style=flow_style)
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if self.alias_key is not None:
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self.represented_objects[self.alias_key] = node
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best_style = False
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if hasattr(mapping, 'items'):
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mapping = list(mapping.items())
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for item_key, item_value in mapping:
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node_key = self.represent_data(item_key)
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node_value = self.represent_data(item_value)
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if not (isinstance(node_key, yaml.ScalarNode)
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and not node_key.style):
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best_style = False
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if not (isinstance(node_value, yaml.ScalarNode)
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and not node_value.style):
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best_style = False
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value.append((node_key, node_value))
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if flow_style is None:
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if self.default_flow_style is not None:
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node.flow_style = self.default_flow_style
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else:
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node.flow_style = best_style
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return node
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def represent_list(self, data):
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"""If a list has less than 4 items, represent it in inline style
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(i.e. comma separated, within square brackets).
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"""
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node = super(Dumper, self).represent_list(data)
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length = len(data)
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if self.default_flow_style is None and length < 4:
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node.flow_style = True
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elif self.default_flow_style is None:
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node.flow_style = False
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return node
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def represent_bool(self, data):
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"""Represent bool as 'yes' or 'no' instead of 'true' or 'false'.
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"""
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if data:
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value = u'yes'
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else:
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value = u'no'
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return self.represent_scalar('tag:yaml.org,2002:bool', value)
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def represent_none(self, data):
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"""Represent a None value with nothing instead of 'none'.
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"""
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return self.represent_scalar('tag:yaml.org,2002:null', '')
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Dumper.add_representer(OrderedDict, Dumper.represent_dict)
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Dumper.add_representer(bool, Dumper.represent_bool)
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Dumper.add_representer(type(None), Dumper.represent_none)
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Dumper.add_representer(list, Dumper.represent_list)
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def restore_yaml_comments(data, default_data):
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"""Scan default_data for comments (we include empty lines in our
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definition of comments) and place them before the same keys in data.
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Only works with comments that are on one or more own lines, i.e.
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not next to a yaml mapping.
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"""
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comment_map = dict()
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default_lines = iter(default_data.splitlines())
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for line in default_lines:
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if not line:
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comment = "\n"
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elif line.startswith("#"):
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comment = "{0}\n".format(line)
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else:
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continue
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while True:
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line = next(default_lines)
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if line and not line.startswith("#"):
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break
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comment += "{0}\n".format(line)
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key = line.split(':')[0].strip()
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comment_map[key] = comment
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out_lines = iter(data.splitlines())
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out_data = ""
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for line in out_lines:
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key = line.split(':')[0].strip()
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if key in comment_map:
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out_data += comment_map[key]
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out_data += "{0}\n".format(line)
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return out_data
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