spaCy/website/docs/api/lookups.md

title	teaser	tag	source	new
Lookups	A container for large lookup tables and dictionaries	class	spacy/lookups.py	2.2

This class allows convenient access to large lookup tables and dictionaries, e.g. lemmatization data or tokenizer exception lists using Bloom filters. Lookups are available via the Vocab as vocab.lookups, so they can be accessed before the pipeline components are applied (e.g. in the tokenizer and lemmatizer), as well as within the pipeline components via doc.vocab.lookups.

Lookups.__init__

Create a Lookups object.

Example

from spacy.lookups import Lookups
lookups = Lookups()

Name	Type	Description
RETURNS	Lookups	The newly constructed object.

Lookups.__len__

Get the current number of tables in the lookups.

Example

lookups = Lookups()
assert len(lookups) == 0

Name	Type	Description
RETURNS	int	The number of tables in the lookups.

Lookups._\contains__

Check if the lookups contain a table of a given name. Delegates to Lookups.has_table.

Example

lookups = Lookups()
lookups.add_table("some_table")
assert "some_table" in lookups

Name	Type	Description
name	str	Name of the table.
RETURNS	bool	Whether a table of that name is in the lookups.

Lookups.tables

Get the names of all tables in the lookups.

Example

lookups = Lookups()
lookups.add_table("some_table")
assert lookups.tables == ["some_table"]

Name	Type	Description
RETURNS	list	Names of the tables in the lookups.

Lookups.add_table

Add a new table with optional data to the lookups. Raises an error if the table exists.

Example

lookups = Lookups()
lookups.add_table("some_table", {"foo": "bar"})

Name	Type	Description
name	str	Unique name of the table.
data	dict	Optional data to add to the table.
RETURNS	Table	The newly added table.

Lookups.get_table

Get a table from the lookups. Raises an error if the table doesn't exist.

Example

lookups = Lookups()
lookups.add_table("some_table", {"foo": "bar"})
table = lookups.get_table("some_table")
assert table["foo"] == "bar"

Name	Type	Description
name	str	Name of the table.
RETURNS	Table	The table.

Lookups.remove_table

Remove a table from the lookups. Raises an error if the table doesn't exist.

Example

lookups = Lookups()
lookups.add_table("some_table")
removed_table = lookups.remove_table("some_table")
assert "some_table" not in lookups

Name	Type	Description
name	str	Name of the table to remove.
RETURNS	Table	The removed table.

Lookups.has_table

Check if the lookups contain a table of a given name. Equivalent to Lookups.__contains__.

Example

lookups = Lookups()
lookups.add_table("some_table")
assert lookups.has_table("some_table")

Name	Type	Description
name	str	Name of the table.
RETURNS	bool	Whether a table of that name is in the lookups.

Lookups.to_bytes

Serialize the lookups to a bytestring.

Example

lookup_bytes = lookups.to_bytes()

Name	Type	Description
RETURNS	bytes	The serialized lookups.

Lookups.from_bytes

Load the lookups from a bytestring.

Example

lookup_bytes = lookups.to_bytes()
lookups = Lookups()
lookups.from_bytes(lookup_bytes)

Name	Type	Description
bytes_data	bytes	The data to load from.
RETURNS	Lookups	The loaded lookups.

Lookups.to_disk

Save the lookups to a directory as lookups.bin. Expects a path to a directory, which will be created if it doesn't exist.

Example

lookups.to_disk("/path/to/lookups")

Name	Type	Description
path	str / Path	A path to a directory, which will be created if it doesn't exist. Paths may be either strings or Path-like objects.

Lookups.from_disk

Load lookups from a directory containing a lookups.bin. Will skip loading if the file doesn't exist.

Example

from spacy.lookups import Lookups
lookups = Lookups()
lookups.from_disk("/path/to/lookups")

Name	Type	Description
path	str / Path	A path to a directory. Paths may be either strings or Path-like objects.
RETURNS	Lookups	The loaded lookups.

Table

A table in the lookups. Subclass of OrderedDict that implements a slightly more consistent and unified API and includes a Bloom filter to speed up missed lookups. Supports all other methods and attributes of OrderedDict / dict, and the customized methods listed here. Methods that get or set keys accept both integers and strings (which will be hashed before being added to the table).

Table.__init__

Initialize a new table.

Example

from spacy.lookups import Table
data = {"foo": "bar", "baz": 100}
table = Table(name="some_table", data=data)
assert "foo" in table
assert table["foo"] == "bar"

Name	Type	Description
name	str	Optional table name for reference.
RETURNS	Table	The newly constructed object.

Table.from_dict

Initialize a new table from a dict.

Example

from spacy.lookups import Table
data = {"foo": "bar", "baz": 100}
table = Table.from_dict(data, name="some_table")

Name	Type	Description
data	dict	The dictionary.
name	str	Optional table name for reference.
RETURNS	Table	The newly constructed object.

Table.set

Set a new key / value pair. String keys will be hashed. Same as table[key] = value.

Example

from spacy.lookups import Table
table = Table()
table.set("foo", "bar")
assert table["foo"] == "bar"

Name	Type	Description
key	str / int	The key.
value	-	The value.

Table.to_bytes

Serialize the table to a bytestring.

Example

table_bytes = table.to_bytes()

Name	Type	Description
RETURNS	bytes	The serialized table.

Table.from_bytes

Load a table from a bytestring.

Example

table_bytes = table.to_bytes()
table = Table()
table.from_bytes(table_bytes)

Name	Type	Description
bytes_data	bytes	The data to load.
RETURNS	Table	The loaded table.

Attributes

Name	Type	Description
name	str	Table name.
default_size	int	Default size of bloom filters if no data is provided.
bloom	preshed.bloom.BloomFilter	The bloom filters.