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adding further type specifications and removing internal methods

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This commit is contained in:
svlandeg 2023-07-06 15:57:42 +02:00
parent 331cf0ea04
commit a93f6202df
1 changed files with 11 additions and 25 deletions
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36
spacy/training/example.pyi
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@ -1,12 +1,13 @@
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple
from ..tokens import Doc, Span
from ..vocab import Vocab
from .alignment import Alignment
def annotations_to_doc(
vocab,
tok_annot,
doc_annot,
vocab: Vocab,
tok_annot: Dict[str, Any],
doc_annot: Dict[str, Any],
) -> Doc: ...
def validate_examples(
examples: Iterable[Example],
@ -39,35 +40,20 @@ class Example:
def reference(self, doc: Doc) -> None: ...
def copy(self) -> Example: ...
@classmethod
def from_dict(cls, predicted: Doc, example_dict: Dict) -> Example: ...
def from_dict(cls, predicted: Doc, example_dict: Dict[str, Any]) -> Example: ...
@property
def alignment(self) -> Alignment: ...
def _get_aligned_vectorized(self, align, gold_values): ...
def _get_aligned_non_vectorized(self, align, gold_values): ...
def get_aligned(self, field, as_string=False): ...
def get_aligned(self, field: str, as_string=False): ...
def get_aligned_parse(self, projectivize=True): ...
def get_aligned_sent_starts(self): ...
def get_aligned_spans_x2y(self, x_spans, allow_overlap=False): ...
def get_aligned_spans_y2x(self, y_spans, allow_overlap=False): ...
def _get_aligned_spans(self, doc, spans, align, allow_overlap): ...
def get_aligned_ents_and_ner(self): ...
def get_aligned_ner(self): ...
def get_aligned_spans_x2y(self, x_spans: Sequence[Span], allow_overlap=False) -> List[Span]: ...
def get_aligned_spans_y2x(self, y_spans: Sequence[Span], allow_overlap=False) -> List[Span]: ...
def get_aligned_ents_and_ner(self) -> Tuple[List[Span], List[str]]: ...
def get_aligned_ner(self) -> List[str]: ...
def get_matching_ents(self, check_label: bool = True) -> List[Span]: ...
def to_dict(self) -> Dict[str, Any]: ...
def _spans_to_dict(self) -> Dict[str, List[Tuple[int, int, str, str]]]: ...
def _links_to_dict(self) -> Dict[Tuple[int, int], Dict[str, float]]: ...
def split_sents(self) -> List[Example]: ...
@property
def text(self) -> str: ...
def __str__(self) -> str: ...
def __repr__(self) -> str: ...
def _annot2array(vocab, tok_annot, doc_annot): ...
def _add_spans_to_doc(doc, spans_data): ...
def _add_entities_to_doc(doc, ner_data): ...
def _parse_example_dict_data(example_dict): ...
def _fix_legacy_dict_data(example_dict): ...
def _has_field(annot, field) -> bool: ...
def _parse_ner_tags(biluo_or_offsets, vocab, words, spaces): ...
def _parse_links(vocab, words, spaces, links): ...
def _guess_spaces(text, words): ...