mirror of
https://github.com/thegeeklab/ansible-later.git
synced 2024-11-29 16:20:35 +00:00
304 lines
11 KiB
Python
304 lines
11 KiB
Python
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import six
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from pyrsistent._checked_types import (
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CheckedPMap,
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CheckedPSet,
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CheckedPVector,
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CheckedType,
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InvariantException,
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_restore_pickle,
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get_type,
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maybe_parse_user_type,
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maybe_parse_many_user_types,
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)
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from pyrsistent._checked_types import optional as optional_type
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from pyrsistent._checked_types import wrap_invariant
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from pyrsistent._compat import Enum
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def set_fields(dct, bases, name):
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dct[name] = dict(sum([list(b.__dict__.get(name, {}).items()) for b in bases], []))
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for k, v in list(dct.items()):
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if isinstance(v, _PField):
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dct[name][k] = v
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del dct[k]
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def check_global_invariants(subject, invariants):
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error_codes = tuple(error_code for is_ok, error_code in
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(invariant(subject) for invariant in invariants) if not is_ok)
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if error_codes:
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raise InvariantException(error_codes, (), 'Global invariant failed')
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def serialize(serializer, format, value):
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if isinstance(value, CheckedType) and serializer is PFIELD_NO_SERIALIZER:
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return value.serialize(format)
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return serializer(format, value)
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def check_type(destination_cls, field, name, value):
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if field.type and not any(isinstance(value, get_type(t)) for t in field.type):
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actual_type = type(value)
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message = "Invalid type for field {0}.{1}, was {2}".format(destination_cls.__name__, name, actual_type.__name__)
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raise PTypeError(destination_cls, name, field.type, actual_type, message)
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class _PField(object):
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__slots__ = ('type', 'invariant', 'initial', 'mandatory', '_factory', 'serializer')
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def __init__(self, type, invariant, initial, mandatory, factory, serializer):
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self.type = type
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self.invariant = invariant
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self.initial = initial
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self.mandatory = mandatory
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self._factory = factory
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self.serializer = serializer
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@property
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def factory(self):
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# If no factory is specified and the type is another CheckedType use the factory method of that CheckedType
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if self._factory is PFIELD_NO_FACTORY and len(self.type) == 1:
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typ = get_type(tuple(self.type)[0])
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if issubclass(typ, CheckedType):
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return typ.create
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return self._factory
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PFIELD_NO_TYPE = ()
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PFIELD_NO_INVARIANT = lambda _: (True, None)
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PFIELD_NO_FACTORY = lambda x: x
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PFIELD_NO_INITIAL = object()
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PFIELD_NO_SERIALIZER = lambda _, value: value
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PFIELD_NO_SERIALIZER = lambda _, value: value
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def field(type=PFIELD_NO_TYPE, invariant=PFIELD_NO_INVARIANT, initial=PFIELD_NO_INITIAL,
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mandatory=False, factory=PFIELD_NO_FACTORY, serializer=PFIELD_NO_SERIALIZER):
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"""
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Field specification factory for :py:class:`PRecord`.
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:param type: a type or iterable with types that are allowed for this field
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:param invariant: a function specifying an invariant that must hold for the field
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:param initial: value of field if not specified when instantiating the record
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:param mandatory: boolean specifying if the field is mandatory or not
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:param factory: function called when field is set.
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:param serializer: function that returns a serialized version of the field
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"""
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# NB: We have to check this predicate separately from the predicates in
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# `maybe_parse_user_type` et al. because this one is related to supporting
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# the argspec for `field`, while those are related to supporting the valid
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# ways to specify types.
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# Multiple types must be passed in one of the following containers. Note
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# that a type that is a subclass of one of these containers, like a
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# `collections.namedtuple`, will work as expected, since we check
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# `isinstance` and not `issubclass`.
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if isinstance(type, (list, set, tuple)):
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types = set(maybe_parse_many_user_types(type))
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else:
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types = set(maybe_parse_user_type(type))
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invariant_function = wrap_invariant(invariant) if invariant != PFIELD_NO_INVARIANT and callable(invariant) else invariant
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field = _PField(type=types, invariant=invariant_function, initial=initial,
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mandatory=mandatory, factory=factory, serializer=serializer)
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_check_field_parameters(field)
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return field
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def _check_field_parameters(field):
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for t in field.type:
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if not isinstance(t, type) and not isinstance(t, six.string_types):
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raise TypeError('Type parameter expected, not {0}'.format(type(t)))
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if field.initial is not PFIELD_NO_INITIAL and \
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not callable(field.initial) and \
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field.type and not any(isinstance(field.initial, t) for t in field.type):
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raise TypeError('Initial has invalid type {0}'.format(type(field.initial)))
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if not callable(field.invariant):
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raise TypeError('Invariant must be callable')
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if not callable(field.factory):
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raise TypeError('Factory must be callable')
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if not callable(field.serializer):
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raise TypeError('Serializer must be callable')
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class PTypeError(TypeError):
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"""
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Raised when trying to assign a value with a type that doesn't match the declared type.
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Attributes:
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source_class -- The class of the record
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field -- Field name
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expected_types -- Types allowed for the field
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actual_type -- The non matching type
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"""
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def __init__(self, source_class, field, expected_types, actual_type, *args, **kwargs):
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super(PTypeError, self).__init__(*args, **kwargs)
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self.source_class = source_class
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self.field = field
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self.expected_types = expected_types
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self.actual_type = actual_type
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SEQ_FIELD_TYPE_SUFFIXES = {
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CheckedPVector: "PVector",
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CheckedPSet: "PSet",
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}
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# Global dictionary to hold auto-generated field types: used for unpickling
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_seq_field_types = {}
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def _restore_seq_field_pickle(checked_class, item_type, data):
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"""Unpickling function for auto-generated PVec/PSet field types."""
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type_ = _seq_field_types[checked_class, item_type]
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return _restore_pickle(type_, data)
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def _types_to_names(types):
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"""Convert a tuple of types to a human-readable string."""
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return "".join(get_type(typ).__name__.capitalize() for typ in types)
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def _make_seq_field_type(checked_class, item_type):
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"""Create a subclass of the given checked class with the given item type."""
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type_ = _seq_field_types.get((checked_class, item_type))
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if type_ is not None:
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return type_
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class TheType(checked_class):
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__type__ = item_type
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def __reduce__(self):
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return (_restore_seq_field_pickle,
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(checked_class, item_type, list(self)))
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suffix = SEQ_FIELD_TYPE_SUFFIXES[checked_class]
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TheType.__name__ = _types_to_names(TheType._checked_types) + suffix
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_seq_field_types[checked_class, item_type] = TheType
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return TheType
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def _sequence_field(checked_class, item_type, optional, initial):
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"""
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Create checked field for either ``PSet`` or ``PVector``.
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:param checked_class: ``CheckedPSet`` or ``CheckedPVector``.
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:param item_type: The required type for the items in the set.
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:param optional: If true, ``None`` can be used as a value for
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this field.
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:param initial: Initial value to pass to factory.
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:return: A ``field`` containing a checked class.
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"""
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TheType = _make_seq_field_type(checked_class, item_type)
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if optional:
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def factory(argument):
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if argument is None:
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return None
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else:
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return TheType.create(argument)
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else:
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factory = TheType.create
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return field(type=optional_type(TheType) if optional else TheType,
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factory=factory, mandatory=True,
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initial=factory(initial))
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def pset_field(item_type, optional=False, initial=()):
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"""
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Create checked ``PSet`` field.
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:param item_type: The required type for the items in the set.
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:param optional: If true, ``None`` can be used as a value for
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this field.
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:param initial: Initial value to pass to factory if no value is given
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for the field.
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:return: A ``field`` containing a ``CheckedPSet`` of the given type.
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"""
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return _sequence_field(CheckedPSet, item_type, optional,
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initial)
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def pvector_field(item_type, optional=False, initial=()):
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"""
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Create checked ``PVector`` field.
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:param item_type: The required type for the items in the vector.
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:param optional: If true, ``None`` can be used as a value for
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this field.
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:param initial: Initial value to pass to factory if no value is given
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for the field.
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:return: A ``field`` containing a ``CheckedPVector`` of the given type.
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"""
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return _sequence_field(CheckedPVector, item_type, optional,
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initial)
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_valid = lambda item: (True, "")
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# Global dictionary to hold auto-generated field types: used for unpickling
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_pmap_field_types = {}
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def _restore_pmap_field_pickle(key_type, value_type, data):
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"""Unpickling function for auto-generated PMap field types."""
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type_ = _pmap_field_types[key_type, value_type]
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return _restore_pickle(type_, data)
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def _make_pmap_field_type(key_type, value_type):
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"""Create a subclass of CheckedPMap with the given key and value types."""
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type_ = _pmap_field_types.get((key_type, value_type))
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if type_ is not None:
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return type_
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class TheMap(CheckedPMap):
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__key_type__ = key_type
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__value_type__ = value_type
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def __reduce__(self):
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return (_restore_pmap_field_pickle,
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(self.__key_type__, self.__value_type__, dict(self)))
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TheMap.__name__ = "{0}To{1}PMap".format(
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_types_to_names(TheMap._checked_key_types),
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_types_to_names(TheMap._checked_value_types))
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_pmap_field_types[key_type, value_type] = TheMap
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return TheMap
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def pmap_field(key_type, value_type, optional=False, invariant=PFIELD_NO_INVARIANT):
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"""
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Create a checked ``PMap`` field.
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:param key: The required type for the keys of the map.
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:param value: The required type for the values of the map.
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:param optional: If true, ``None`` can be used as a value for
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this field.
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:param invariant: Pass-through to ``field``.
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:return: A ``field`` containing a ``CheckedPMap``.
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"""
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TheMap = _make_pmap_field_type(key_type, value_type)
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if optional:
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def factory(argument):
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if argument is None:
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return None
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else:
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return TheMap.create(argument)
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else:
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factory = TheMap.create
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return field(mandatory=True, initial=TheMap(),
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type=optional_type(TheMap) if optional else TheMap,
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factory=factory, invariant=invariant)
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