FM / yaml

/snap/lxd/40526/lib/python3/dist-packages/yaml/

/snap/lxd/40526/lib/python3/dist-packages/yaml

Name	Size	Mode	Actions
composer.py	4883	0644	edit dl rm
constructor.py	28639	0644	edit dl rm
cyaml.py	3846	0644	edit dl rm
dumper.py	2837	0644	edit dl rm
emitter.py	43006	0644	edit dl rm
error.py	2533	0644	edit dl rm
events.py	2445	0644	edit dl rm
loader.py	2061	0644	edit dl rm
nodes.py	1440	0644	edit dl rm
parser.py	25495	0644	edit dl rm
reader.py	6794	0644	edit dl rm
representer.py	14184	0644	edit dl rm
resolver.py	8970	0644	edit dl rm
scanner.py	51277	0644	edit dl rm
serializer.py	4165	0644	edit dl rm
tokens.py	2573	0644	edit dl rm
__init__.py	13170	0644	edit dl rm

Edit: /snap/lxd/40526/lib/python3/dist-packages/yaml/representer.py (14184B)

__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer',
    'RepresenterError']

from .error import *
from .nodes import *

import datetime, copyreg, types, base64, collections

class RepresenterError(YAMLError):
    pass

class BaseRepresenter:

yaml_representers = {}
    yaml_multi_representers = {}

def __init__(self, default_style=None, default_flow_style=False, sort_keys=True):
        self.default_style = default_style
        self.sort_keys = sort_keys
        self.default_flow_style = default_flow_style
        self.represented_objects = {}
        self.object_keeper = []
        self.alias_key = None

def represent(self, data):
        node = self.represent_data(data)
        self.serialize(node)
        self.represented_objects = {}
        self.object_keeper = []
        self.alias_key = None

def represent_data(self, data):
        if self.ignore_aliases(data):
            self.alias_key = None
        else:
            self.alias_key = id(data)
        if self.alias_key is not None:
            if self.alias_key in self.represented_objects:
                node = self.represented_objects[self.alias_key]
                #if node is None:
                #    raise RepresenterError("recursive objects are not allowed: %r" % data)
                return node
            #self.represented_objects[alias_key] = None
            self.object_keeper.append(data)
        data_types = type(data).__mro__
        if data_types[0] in self.yaml_representers:
            node = self.yaml_representers[data_types[0]](self, data)
        else:
            for data_type in data_types:
                if data_type in self.yaml_multi_representers:
                    node = self.yaml_multi_representers[data_type](self, data)
                    break
            else:
                if None in self.yaml_multi_representers:
                    node = self.yaml_multi_representers[None](self, data)
                elif None in self.yaml_representers:
                    node = self.yaml_representers[None](self, data)
                else:
                    node = ScalarNode(None, str(data))
        #if alias_key is not None:
        #    self.represented_objects[alias_key] = node
        return node

@classmethod
    def add_representer(cls, data_type, representer):
        if not 'yaml_representers' in cls.__dict__:
            cls.yaml_representers = cls.yaml_representers.copy()
        cls.yaml_representers[data_type] = representer

@classmethod
    def add_multi_representer(cls, data_type, representer):
        if not 'yaml_multi_representers' in cls.__dict__:
            cls.yaml_multi_representers = cls.yaml_multi_representers.copy()
        cls.yaml_multi_representers[data_type] = representer

def represent_scalar(self, tag, value, style=None):
        if style is None:
            style = self.default_style
        node = ScalarNode(tag, value, style=style)
        if self.alias_key is not None:
            self.represented_objects[self.alias_key] = node
        return node

def represent_sequence(self, tag, sequence, flow_style=None):
        value = []
        node = SequenceNode(tag, value, flow_style=flow_style)
        if self.alias_key is not None:
            self.represented_objects[self.alias_key] = node
        best_style = True
        for item in sequence:
            node_item = self.represent_data(item)
            if not (isinstance(node_item, ScalarNode) and not node_item.style):
                best_style = False
            value.append(node_item)
        if flow_style is None:
            if self.default_flow_style is not None:
                node.flow_style = self.default_flow_style
            else:
                node.flow_style = best_style
        return node

def represent_mapping(self, tag, mapping, flow_style=None):
        value = []
        node = MappingNode(tag, value, flow_style=flow_style)
        if self.alias_key is not None:
            self.represented_objects[self.alias_key] = node
        best_style = True
        if hasattr(mapping, 'items'):
            mapping = list(mapping.items())
            if self.sort_keys:
                try:
                    mapping = sorted(mapping)
                except TypeError:
                    pass
        for item_key, item_value in mapping:
            node_key = self.represent_data(item_key)
            node_value = self.represent_data(item_value)
            if not (isinstance(node_key, ScalarNode) and not node_key.style):
                best_style = False
            if not (isinstance(node_value, ScalarNode) and not node_value.style):
                best_style = False
            value.append((node_key, node_value))
        if flow_style is None:
            if self.default_flow_style is not None:
                node.flow_style = self.default_flow_style
            else:
                node.flow_style = best_style
        return node

def ignore_aliases(self, data):
        return False

class SafeRepresenter(BaseRepresenter):

def ignore_aliases(self, data):
        if data is None:
            return True
        if isinstance(data, tuple) and data == ():
            return True
        if isinstance(data, (str, bytes, bool, int, float)):
            return True

def represent_none(self, data):
        return self.represent_scalar('tag:yaml.org,2002:null', 'null')

def represent_str(self, data):
        return self.represent_scalar('tag:yaml.org,2002:str', data)

def represent_binary(self, data):
        if hasattr(base64, 'encodebytes'):
            data = base64.encodebytes(data).decode('ascii')
        else:
            data = base64.encodestring(data).decode('ascii')
        return self.represent_scalar('tag:yaml.org,2002:binary', data, style='|')

def represent_bool(self, data):
        if data:
            value = 'true'
        else:
            value = 'false'
        return self.represent_scalar('tag:yaml.org,2002:bool', value)

def represent_int(self, data):
        return self.represent_scalar('tag:yaml.org,2002:int', str(data))

inf_value = 1e300
    while repr(inf_value) != repr(inf_value*inf_value):
        inf_value *= inf_value

def represent_float(self, data):
        if data != data or (data == 0.0 and data == 1.0):
            value = '.nan'
        elif data == self.inf_value:
            value = '.inf'
        elif data == -self.inf_value:
            value = '-.inf'
        else:
            value = repr(data).lower()
            # Note that in some cases `repr(data)` represents a float number
            # without the decimal parts.  For instance:
            #   >>> repr(1e17)
            #   '1e17'
            # Unfortunately, this is not a valid float representation according
            # to the definition of the `!!float` tag.  We fix this by adding
            # '.0' before the 'e' symbol.
            if '.' not in value and 'e' in value:
                value = value.replace('e', '.0e', 1)
        return self.represent_scalar('tag:yaml.org,2002:float', value)

def represent_list(self, data):
        #pairs = (len(data) > 0 and isinstance(data, list))
        #if pairs:
        #    for item in data:
        #        if not isinstance(item, tuple) or len(item) != 2:
        #            pairs = False
        #            break
        #if not pairs:
            return self.represent_sequence('tag:yaml.org,2002:seq', data)
        #value = []
        #for item_key, item_value in data:
        #    value.append(self.represent_mapping(u'tag:yaml.org,2002:map',
        #        [(item_key, item_value)]))
        #return SequenceNode(u'tag:yaml.org,2002:pairs', value)

def represent_dict(self, data):
        return self.represent_mapping('tag:yaml.org,2002:map', data)

def represent_set(self, data):
        value = {}
        for key in data:
            value[key] = None
        return self.represent_mapping('tag:yaml.org,2002:set', value)

def represent_date(self, data):
        value = data.isoformat()
        return self.represent_scalar('tag:yaml.org,2002:timestamp', value)

def represent_datetime(self, data):
        value = data.isoformat(' ')
        return self.represent_scalar('tag:yaml.org,2002:timestamp', value)

def represent_yaml_object(self, tag, data, cls, flow_style=None):
        if hasattr(data, '__getstate__'):
            state = data.__getstate__()
        else:
            state = data.__dict__.copy()
        return self.represent_mapping(tag, state, flow_style=flow_style)

def represent_undefined(self, data):
        raise RepresenterError("cannot represent an object", data)

SafeRepresenter.add_representer(type(None),
        SafeRepresenter.represent_none)

SafeRepresenter.add_representer(str,
        SafeRepresenter.represent_str)

SafeRepresenter.add_representer(bytes,
        SafeRepresenter.represent_binary)

SafeRepresenter.add_representer(bool,
        SafeRepresenter.represent_bool)

SafeRepresenter.add_representer(int,
        SafeRepresenter.represent_int)

SafeRepresenter.add_representer(float,
        SafeRepresenter.represent_float)

SafeRepresenter.add_representer(list,
        SafeRepresenter.represent_list)

SafeRepresenter.add_representer(tuple,
        SafeRepresenter.represent_list)

SafeRepresenter.add_representer(dict,
        SafeRepresenter.represent_dict)

SafeRepresenter.add_representer(set,
        SafeRepresenter.represent_set)

SafeRepresenter.add_representer(datetime.date,
        SafeRepresenter.represent_date)

SafeRepresenter.add_representer(datetime.datetime,
        SafeRepresenter.represent_datetime)

SafeRepresenter.add_representer(None,
        SafeRepresenter.represent_undefined)

class Representer(SafeRepresenter):

def represent_complex(self, data):
        if data.imag == 0.0:
            data = '%r' % data.real
        elif data.real == 0.0:
            data = '%rj' % data.imag
        elif data.imag > 0:
            data = '%r+%rj' % (data.real, data.imag)
        else:
            data = '%r%rj' % (data.real, data.imag)
        return self.represent_scalar('tag:yaml.org,2002:python/complex', data)

def represent_tuple(self, data):
        return self.represent_sequence('tag:yaml.org,2002:python/tuple', data)

def represent_name(self, data):
        name = '%s.%s' % (data.__module__, data.__name__)
        return self.represent_scalar('tag:yaml.org,2002:python/name:'+name, '')

def represent_module(self, data):
        return self.represent_scalar(
                'tag:yaml.org,2002:python/module:'+data.__name__, '')

def represent_object(self, data):
        # We use __reduce__ API to save the data. data.__reduce__ returns
        # a tuple of length 2-5:
        #   (function, args, state, listitems, dictitems)

# For reconstructing, we calls function(*args), then set its state,
        # listitems, and dictitems if they are not None.

# A special case is when function.__name__ == '__newobj__'. In this
        # case we create the object with args[0].__new__(*args).

# Another special case is when __reduce__ returns a string - we don't
        # support it.

# We produce a !!python/object, !!python/object/new or
        # !!python/object/apply node.

cls = type(data)
        if cls in copyreg.dispatch_table:
            reduce = copyreg.dispatch_table[cls](data)
        elif hasattr(data, '__reduce_ex__'):
            reduce = data.__reduce_ex__(2)
        elif hasattr(data, '__reduce__'):
            reduce = data.__reduce__()
        else:
            raise RepresenterError("cannot represent an object", data)
        reduce = (list(reduce)+[None]*5)[:5]
        function, args, state, listitems, dictitems = reduce
        args = list(args)
        if state is None:
            state = {}
        if listitems is not None:
            listitems = list(listitems)
        if dictitems is not None:
            dictitems = dict(dictitems)
        if function.__name__ == '__newobj__':
            function = args[0]
            args = args[1:]
            tag = 'tag:yaml.org,2002:python/object/new:'
            newobj = True
        else:
            tag = 'tag:yaml.org,2002:python/object/apply:'
            newobj = False
        function_name = '%s.%s' % (function.__module__, function.__name__)
        if not args and not listitems and not dictitems \
                and isinstance(state, dict) and newobj:
            return self.represent_mapping(
                    'tag:yaml.org,2002:python/object:'+function_name, state)
        if not listitems and not dictitems  \
                and isinstance(state, dict) and not state:
            return self.represent_sequence(tag+function_name, args)
        value = {}
        if args:
            value['args'] = args
        if state or not isinstance(state, dict):
            value['state'] = state
        if listitems:
            value['listitems'] = listitems
        if dictitems:
            value['dictitems'] = dictitems
        return self.represent_mapping(tag+function_name, value)

def represent_ordered_dict(self, data):
        # Provide uniform representation across different Python versions.
        data_type = type(data)
        tag = 'tag:yaml.org,2002:python/object/apply:%s.%s' \
                % (data_type.__module__, data_type.__name__)
        items = [[key, value] for key, value in data.items()]
        return self.represent_sequence(tag, [items])

Representer.add_representer(complex,
        Representer.represent_complex)

Representer.add_representer(tuple,
        Representer.represent_tuple)

Representer.add_representer(type,
        Representer.represent_name)

Representer.add_representer(collections.OrderedDict,
        Representer.represent_ordered_dict)

Representer.add_representer(types.FunctionType,
        Representer.represent_name)

Representer.add_representer(types.BuiltinFunctionType,
        Representer.represent_name)

Representer.add_representer(types.ModuleType,
        Representer.represent_module)

Representer.add_multi_representer(object,
        Representer.represent_object)

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