spaCy/website/docs/api/cython-classes.md

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---
title: Cython Classes
menu:
- ['Doc', 'doc']
- ['Token', 'token']
- ['Span', 'span']
- ['Lexeme', 'lexeme']
- ['Vocab', 'vocab']
- ['StringStore', 'stringstore']
---
## Doc {#doc tag="cdef class" source="spacy/tokens/doc.pxd"}
The `Doc` object holds an array of [`TokenC`](/api/cython-structs#tokenc)
structs.
<Infobox variant="warning">
This section documents the extra C-level attributes and methods that can't be
accessed from Python. For the Python documentation, see [`Doc`](/api/doc).
</Infobox>
### Attributes {#doc_attributes}
| Name | Type | Description |
| ------------ | ------------ | ----------------------------------------------------------------------------------------- |
| `mem` | `cymem.Pool` | A memory pool. Allocated memory will be freed once the `Doc` object is garbage collected. |
| `vocab` | `Vocab` | A reference to the shared `Vocab` object. |
| `c` | `TokenC*` | A pointer to a [`TokenC`](/api/cython-structs#tokenc) struct. |
| `length` | `int` | The number of tokens in the document. |
| `max_length` | `int` | The underlying size of the `Doc.c` array. |
### Doc.push_back {#doc_push_back tag="method"}
Append a token to the `Doc`. The token can be provided as a
[`LexemeC`](/api/cython-structs#lexemec) or
[`TokenC`](/api/cython-structs#tokenc) pointer, using Cython's
[fused types](http://cython.readthedocs.io/en/latest/src/userguide/fusedtypes.html).
> #### Example
>
> ```python
> from spacy.tokens cimport Doc
> from spacy.vocab cimport Vocab
>
> doc = Doc(Vocab())
> lexeme = doc.vocab.get("hello")
> doc.push_back(lexeme, True)
> assert doc.text == "hello "
> ```
| Name | Type | Description |
| ------------ | --------------- | ----------------------------------------- |
| `lex_or_tok` | `LexemeOrToken` | The word to append to the `Doc`. |
| `has_space` | `bint` | Whether the word has trailing whitespace. |
## Token {#token tag="cdef class" source="spacy/tokens/token.pxd"}
A Cython class providing access and methods for a
[`TokenC`](/api/cython-structs#tokenc) struct. Note that the `Token` object does
not own the struct. It only receives a pointer to it.
<Infobox variant="warning">
This section documents the extra C-level attributes and methods that can't be
accessed from Python. For the Python documentation, see [`Token`](/api/token).
</Infobox>
### Attributes {#token_attributes}
| Name | Type | Description |
| ------- | --------- | ------------------------------------------------------------- |
| `vocab` | `Vocab` | A reference to the shared `Vocab` object. |
| `c` | `TokenC*` | A pointer to a [`TokenC`](/api/cython-structs#tokenc) struct. |
| `i` | `int` | The offset of the token within the document. |
| `doc` | `Doc` | The parent document. |
### Token.cinit {#token_cinit tag="method"}
Create a `Token` object from a `TokenC*` pointer.
> #### Example
>
> ```python
> token = Token.cinit(&doc.c[3], doc, 3)
> ```
| Name | Type | Description |
| ----------- | --------- | ------------------------------------------------------------ |
| `vocab` | `Vocab` | A reference to the shared `Vocab`. |
| `c` | `TokenC*` | A pointer to a [`TokenC`](/api/cython-structs#tokenc)struct. |
| `offset` | `int` | The offset of the token within the document. |
| `doc` | `Doc` | The parent document. |
| **RETURNS** | `Token` | The newly constructed object. |
## Span {#span tag="cdef class" source="spacy/tokens/span.pxd"}
A Cython class providing access and methods for a slice of a `Doc` object.
<Infobox variant="warning">
This section documents the extra C-level attributes and methods that can't be
accessed from Python. For the Python documentation, see [`Span`](/api/span).
</Infobox>
### Attributes {#span_attributes}
| Name | Type | Description |
| ------------ | -------------------------------------- | ------------------------------------------------------- |
| `doc` | `Doc` | The parent document. |
| `start` | `int` | The index of the first token of the span. |
| `end` | `int` | The index of the first token after the span. |
| `start_char` | `int` | The index of the first character of the span. |
| `end_char` | `int` | The index of the last character of the span. |
| `label` | <Abbr title="uint64_t">`attr_t`</Abbr> | A label to attach to the span, e.g. for named entities. |
## Lexeme {#lexeme tag="cdef class" source="spacy/lexeme.pxd"}
A Cython class providing access and methods for an entry in the vocabulary.
<Infobox variant="warning">
This section documents the extra C-level attributes and methods that can't be
accessed from Python. For the Python documentation, see [`Lexeme`](/api/lexeme).
</Infobox>
### Attributes {#lexeme_attributes}
| Name | Type | Description |
| ------- | -------------------------------------- | --------------------------------------------------------------- |
| `c` | `LexemeC*` | A pointer to a [`LexemeC`](/api/cython-structs#lexemec) struct. |
| `vocab` | `Vocab` | A reference to the shared `Vocab` object. |
| `orth` | <Abbr title="uint64_t">`attr_t`</Abbr> | ID of the verbatim text content. |
## Vocab {#vocab tag="cdef class" source="spacy/vocab.pxd"}
A Cython class providing access and methods for a vocabulary and other data
shared across a language.
<Infobox variant="warning">
This section documents the extra C-level attributes and methods that can't be
accessed from Python. For the Python documentation, see [`Vocab`](/api/vocab).
</Infobox>
### Attributes {#vocab_attributes}
| Name | Type | Description |
| --------- | ------------- | ------------------------------------------------------------------------------------------- |
| `mem` | `cymem.Pool` | A memory pool. Allocated memory will be freed once the `Vocab` object is garbage collected. |
| `strings` | `StringStore` | A `StringStore` that maps string to hash values and vice versa. |
| `length` | `int` | The number of entries in the vocabulary. |
### Vocab.get {#vocab_get tag="method"}
Retrieve a [`LexemeC*`](/api/cython-structs#lexemec) pointer from the
vocabulary.
> #### Example
>
> ```python
> lexeme = vocab.get(vocab.mem, "hello")
> ```
| Name | Type | Description |
| ----------- | ---------------- | ------------------------------------------------------------------------------------------- |
| `mem` | `cymem.Pool` | A memory pool. Allocated memory will be freed once the `Vocab` object is garbage collected. |
2020-05-24 15:23:00 +00:00
| `string` | str | The string of the word to look up. |
| **RETURNS** | `const LexemeC*` | The lexeme in the vocabulary. |
### Vocab.get_by_orth {#vocab_get_by_orth tag="method"}
Retrieve a [`LexemeC*`](/api/cython-structs#lexemec) pointer from the
vocabulary.
> #### Example
>
> ```python
> lexeme = vocab.get_by_orth(doc[0].lex.norm)
> ```
| Name | Type | Description |
| ----------- | -------------------------------------- | ------------------------------------------------------------------------------------------- |
| `mem` | `cymem.Pool` | A memory pool. Allocated memory will be freed once the `Vocab` object is garbage collected. |
| `orth` | <Abbr title="uint64_t">`attr_t`</Abbr> | ID of the verbatim text content. |
| **RETURNS** | `const LexemeC*` | The lexeme in the vocabulary. |
## StringStore {#stringstore tag="cdef class" source="spacy/strings.pxd"}
A lookup table to retrieve strings by 64-bit hashes.
<Infobox variant="warning">
This section documents the extra C-level attributes and methods that can't be
accessed from Python. For the Python documentation, see
[`StringStore`](/api/stringstore).
</Infobox>
### Attributes {#stringstore_attributes}
| Name | Type | Description |
| ------ | ------------------------------------------------------ | ------------------------------------------------------------------------------------------------ |
| `mem` | `cymem.Pool` | A memory pool. Allocated memory will be freed once the`StringStore` object is garbage collected. |
| `keys` | <Abbr title="vector[uint64_t]">`vector[hash_t]`</Abbr> | A list of hash values in the `StringStore`. |