docarray.array.storage.annlite package#

Submodules#

Module contents#

class docarray.array.storage.annlite.StorageMixins(*args, **kwds)[source]#

Bases: FindMixin, BackendMixin, GetSetDelMixin, SequenceLikeMixin, ABC

TYPE_MAP: Dict[str, TypeMap] = {'float': TypeMap(type='float', converter=<class 'float'>), 'int': TypeMap(type='int', converter=<function _safe_cast_int>), 'str': TypeMap(type='str', converter=<class 'str'>)}#
append(value, **kwargs)#

Append doc to the end of the array.

Parameters:

value (Document) – The doc needs to be appended.

clear()#

Clear the data of DocumentArray

count(value) integer -- return number of occurrences of value#
extend(values, **kwargs)#

S.extend(iterable) – extend sequence by appending elements from the iterable

Return type:

None

index(value[, start[, stop]]) integer -- return first index of value.#

Raises ValueError if the value is not present.

Supporting start and stop arguments is optional, but recommended.

insert(index, value, **kwargs)#

Insert doc at index.

Parameters:
  • index (int) – Position of the insertion.

  • value (Document) – The doc needs to be inserted.

  • kwargs – Additional Arguments that are passed to the Document Store. This has no effect for in-memory DocumentArray.

pop([index]) item -- remove and return item at index (default last).#

Raise IndexError if list is empty or index is out of range.

remove(value)#

S.remove(value) – remove first occurrence of value. Raise ValueError if the value is not present.

reverse()#

S.reverse() – reverse IN PLACE

sync()#
class docarray.array.storage.annlite.AnnliteConfig(n_dim, metric='cosine', list_like=True, serialize_config=<factory>, data_path=None, ef_construction=None, ef_search=None, max_connection=None, n_components=None, columns=None, root_id=True)[source]#

Bases: object

n_dim: int#
metric: str = 'cosine'#
list_like: bool = True#
serialize_config: Dict#
data_path: Optional[str] = None#
ef_construction: Optional[int] = None#
max_connection: Optional[int] = None#
n_components: Optional[int] = None#
columns: Optional[Union[List[Tuple[str, str]], Dict[str, str]]] = None#
root_id: bool = True#