neurolang.datalog.wrapped_collections module

class neurolang.datalog.wrapped_collections.WrappedNamedRelationalAlgebraFrozenSet(columns=None, iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: WrappedNamedRelationalAlgebraFrozenSetMixin, NamedRelationalAlgebraFrozenSet

Attributes:

arity

columns

row_type

Methods

isdisjoint(other)	Return True if two sets have a null intersection.
projection(*columns)	Projects the set on the given list of columns.
selection(select_criteria)	Select the elements based on the given selet_criteria.
selection_columns(select_criteria)	Select the elements where column pairs indicated as key, value items of the select_criteria are equal.

aggregate
as_numpy_array
as_pandas_dataframe
copy
create_view_from
cross_product
dee
dum
equijoin
explode
extended_projection
fetch_one
groupby
is_constant_tuple_or_tuple_of_constants
is_dee
is_dum
is_empty
itervalues
left_naturaljoin
naturaljoin
projection_to_unnamed
rename_column
rename_columns
replace_null
to_unnamed
unwrap
unwrapped_iter

unwrap()

class neurolang.datalog.wrapped_collections.WrappedNamedRelationalAlgebraFrozenSetMixin(columns=None, iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: WrappedRelationalAlgebraSetBaseMixin

Attributes:

row_type

Methods

is_constant_tuple_or_tuple_of_constants
unwrapped_iter

property row_type

class neurolang.datalog.wrapped_collections.WrappedRelationalAlgebraFrozenSet(iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: WrappedRelationalAlgebraFrozenSetMixin, RelationalAlgebraFrozenSet

Attributes:

arity

columns

row_type

Methods

isdisjoint(other)	Return True if two sets have a null intersection.
projection(*columns)	Projects the set on the given list of columns.
selection(select_criteria)	Select the elements based on the given selet_criteria.
selection_columns(select_criteria)	Select the elements where column pairs indicated as key, value items of the select_criteria are equal.

as_numpy_array
as_pandas_dataframe
copy
create_view_from
cross_product
dee
dum
equijoin
fetch_one
groupby
is_constant_tuple_or_tuple_of_constants
is_dee
is_dum
is_empty
itervalues
unwrap
unwrapped_iter

unwrap()

class neurolang.datalog.wrapped_collections.WrappedRelationalAlgebraFrozenSetMixin(iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: WrappedRelationalAlgebraSetBaseMixin

Attributes:

row_type

Methods

is_constant_tuple_or_tuple_of_constants
unwrapped_iter

class neurolang.datalog.wrapped_collections.WrappedRelationalAlgebraSet(iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: WrappedRelationalAlgebraSetMixin, RelationalAlgebraSet

Attributes:

arity

columns

row_type

Methods

clear()	This is slow (creates N new iterators!) but effective.
isdisjoint(other)	Return True if two sets have a null intersection.
pop()	Return the popped value.
projection(*columns)	Projects the set on the given list of columns.
remove(value)	Remove an element.
selection(select_criteria)	Select the elements based on the given selet_criteria.
selection_columns(select_criteria)	Select the elements where column pairs indicated as key, value items of the select_criteria are equal.

add
as_numpy_array
as_pandas_dataframe
copy
create_view_from
cross_product
dee
discard
dum
equijoin
fetch_one
groupby
is_constant_tuple_or_tuple_of_constants
is_dee
is_dum
is_empty
itervalues
unwrap
unwrapped_iter

unwrap()

class neurolang.datalog.wrapped_collections.WrappedRelationalAlgebraSetBaseMixin(iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: object

Attributes:

row_type

Methods

is_constant_tuple_or_tuple_of_constants
unwrapped_iter

static is_constant_tuple_or_tuple_of_constants(val)

property row_type

unwrapped_iter()

class neurolang.datalog.wrapped_collections.WrappedRelationalAlgebraSetMixin(iterable=None, row_type=<class 'neurolang.type_system.Unknown'>, verify_row_type=True, **kwargs)

Bases: WrappedRelationalAlgebraSetBaseMixin

Attributes:

row_type

Methods

add
discard
is_constant_tuple_or_tuple_of_constants
unwrapped_iter

add(value)

discard(value)

class neurolang.datalog.wrapped_collections.WrappedTypeMap

Bases: object

Methods

backend_2_python

backend_2_python(value)

row_maps = {<class 'numpy.integer'>: <class 'int'>, <class 'numpy.float64'>: <class 'float'>}

neurolang.datalog.wrapped_collections.named_tuple_as_dict(*args, **kwargs)