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