mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 21:57:15 +03:00
106 lines
3.9 KiB
Plaintext
106 lines
3.9 KiB
Plaintext
|
//- Docs > API > StringStore
|
||
|
//- ============================================================================
|
||
|
|
||
|
+section('stringstore')
|
||
|
+h2('stringstore', 'https://github.com/' + profiles.github + '/spaCy/blob/master/spacy/strings.pyx#L74')
|
||
|
| #[+label('tag') class] StringStore
|
||
|
|
||
|
p
|
||
|
| Intern strings, and map them to sequential integer IDs.
|
||
|
|
||
|
p
|
||
|
| Only the integer IDs are held by spaCy's data
|
||
|
| classes (#[code Doc], #[code Token], #[code Span] and #[code Lexeme])
|
||
|
| – when you use a string-valued attribute like #[code token.orth_],
|
||
|
| you access a property that computes #[code token.strings[token.orth]].
|
||
|
|
||
|
+aside('Efficiency').
|
||
|
The mapping table is very efficient , and a small-string optimization
|
||
|
is used to maintain a small memory footprint.
|
||
|
|
||
|
|
||
|
+table(['Usage', 'Description'], 'code')
|
||
|
+row
|
||
|
+cell #[code.lang-python string = string_store[int_id]]
|
||
|
+cell.
|
||
|
Retrieve a string from a given integer ID. If the integer ID
|
||
|
is not found, raise #[code IndexError].
|
||
|
|
||
|
+row
|
||
|
+cell #[code.lang-python int_id = string_store[unicode_string]]
|
||
|
+cell.
|
||
|
Map a unicode string to an integer ID. If the string is
|
||
|
previously unseen, it is interned, and a new ID is returned.
|
||
|
|
||
|
+row
|
||
|
+cell #[code.lang-python int_id = string_store[utf8_byte_string]]
|
||
|
+cell.
|
||
|
Byte strings are assumed to be in UTF-8 encoding. Strings
|
||
|
encoded with other codecs may fail silently. Given a utf8
|
||
|
string, the behaviour is the same as for unicode strings.
|
||
|
Internally, strings are stored in UTF-8 format. So if you start
|
||
|
with a UTF-8 byte string, it's less efficient to first decode
|
||
|
it as unicode, as StringStore will then have to encode it as
|
||
|
UTF-8 once again.
|
||
|
|
||
|
+row
|
||
|
+cell #[code.lang-python n_strings = len(string_store)]
|
||
|
+cell.
|
||
|
Number of strings in the string-store.
|
||
|
|
||
|
+row
|
||
|
+cell #[code.lang-python for string in string_store]
|
||
|
+cell
|
||
|
p.
|
||
|
Iterate over strings in the string store, in order, such
|
||
|
that the ith string in the sequence has the ID #[code i]:
|
||
|
|
||
|
+code.code-block-small.no-block.
|
||
|
string_store = doc.vocab.strings
|
||
|
for i, string in enumerate(string_store):
|
||
|
assert i == string_store[string]
|
||
|
|
||
|
+section('stringstore-init')
|
||
|
+h3('stringstore-init')
|
||
|
| #[+label('tag') method] StringStore.__init__
|
||
|
|
||
|
+code('python', 'Definition').
|
||
|
def __init__(self):
|
||
|
return self
|
||
|
|
||
|
+section('stringstore-dump')
|
||
|
+h3('stringstore-dump')
|
||
|
| #[+label('tag') method] StringStore.dump
|
||
|
|
||
|
p Save the string-to-int mapping to the given file.
|
||
|
|
||
|
+code('python', 'Definition').
|
||
|
def dump(self, file):
|
||
|
return None
|
||
|
|
||
|
+table(['Name', 'Type', 'Description'], 'params')
|
||
|
+row
|
||
|
+cell loc
|
||
|
+cell str
|
||
|
+cell.
|
||
|
The file to write the data to.
|
||
|
|
||
|
+section('stringstore-load')
|
||
|
+h3('stringstore-load')
|
||
|
| #[+label('tag') method] StringStore.load
|
||
|
|
||
|
p Load the strings from the given file.
|
||
|
|
||
|
+code('python', 'Definition').
|
||
|
def load(self, file):
|
||
|
return None
|
||
|
|
||
|
+table(['Name', 'Type', 'Description'], 'params')
|
||
|
+row
|
||
|
+cell file
|
||
|
+cell file
|
||
|
+cell.
|
||
|
File-like object to load the data from. The format is subject
|
||
|
to change; so if you need to read/write compatible files, please
|
||
|
find details in the strings.pyx source.
|