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feat: add example stubs (3) (#12801)
* feat: add example stubs * fix: add required annotations * fix: mypy issues * fix: use Py36-compatible Portocol * Minor reformatting * adding further type specifications and removing internal methods * black formatting * widen type to iterable * add private methods that are being used by the built-in convertors * revert changes to corpus.py * fixes * fixes * fix typing of PlainTextCorpus --------- Co-authored-by: Basile Dura <basile@bdura.me> Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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@ -8,6 +8,7 @@ from typing import (
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List,
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Optional,
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Protocol,
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Sequence,
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Tuple,
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Union,
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overload,
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@ -134,7 +135,12 @@ class Doc:
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def text(self) -> str: ...
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@property
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def text_with_ws(self) -> str: ...
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ents: Tuple[Span]
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# Ideally the getter would output Tuple[Span]
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# see https://github.com/python/mypy/issues/3004
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@property
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def ents(self) -> Sequence[Span]: ...
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@ents.setter
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def ents(self, value: Sequence[Span]) -> None: ...
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def set_ents(
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self,
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entities: List[Span],
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@ -63,7 +63,7 @@ def create_plain_text_reader(
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path: Optional[Path],
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min_length: int = 0,
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max_length: int = 0,
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) -> Callable[["Language"], Iterable[Doc]]:
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) -> Callable[["Language"], Iterable[Example]]:
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"""Iterate Example objects from a file or directory of plain text
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UTF-8 files with one line per doc.
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66
spacy/training/example.pyi
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66
spacy/training/example.pyi
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@ -0,0 +1,66 @@
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from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
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from ..tokens import Doc, Span
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from ..vocab import Vocab
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from .alignment import Alignment
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def annotations_to_doc(
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vocab: Vocab,
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tok_annot: Dict[str, Any],
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doc_annot: Dict[str, Any],
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) -> Doc: ...
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def validate_examples(
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examples: Iterable[Example],
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method: str,
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) -> None: ...
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def validate_get_examples(
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get_examples: Callable[[], Iterable[Example]],
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method: str,
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): ...
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class Example:
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x: Doc
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y: Doc
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def __init__(
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self,
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predicted: Doc,
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reference: Doc,
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*,
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alignment: Optional[Alignment] = None,
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): ...
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def __len__(self) -> int: ...
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@property
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def predicted(self) -> Doc: ...
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@predicted.setter
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def predicted(self, doc: Doc) -> None: ...
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@property
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def reference(self) -> Doc: ...
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@reference.setter
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def reference(self, doc: Doc) -> None: ...
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def copy(self) -> Example: ...
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@classmethod
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def from_dict(cls, predicted: Doc, example_dict: Dict[str, Any]) -> Example: ...
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@property
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def alignment(self) -> Alignment: ...
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def get_aligned(self, field: str, as_string=False): ...
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def get_aligned_parse(self, projectivize=True): ...
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def get_aligned_sent_starts(self): ...
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def get_aligned_spans_x2y(
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self, x_spans: Iterable[Span], allow_overlap=False
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) -> List[Span]: ...
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def get_aligned_spans_y2x(
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self, y_spans: Iterable[Span], allow_overlap=False
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) -> List[Span]: ...
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def get_aligned_ents_and_ner(self) -> Tuple[List[Span], List[str]]: ...
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def get_aligned_ner(self) -> List[str]: ...
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def get_matching_ents(self, check_label: bool = True) -> List[Span]: ...
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def to_dict(self) -> Dict[str, Any]: ...
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def split_sents(self) -> List[Example]: ...
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@property
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def text(self) -> str: ...
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def __str__(self) -> str: ...
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def __repr__(self) -> str: ...
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def _parse_example_dict_data(example_dict): ...
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def _fix_legacy_dict_data(example_dict): ...
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