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Add Pipe.hide_labels to omit labels from pipeline meta (#10175)
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@ -354,12 +354,15 @@ class Language:
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@property
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def pipe_labels(self) -> Dict[str, List[str]]:
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"""Get the labels set by the pipeline components, if available (if
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the component exposes a labels property).
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the component exposes a labels property and the labels are not
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hidden).
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RETURNS (Dict[str, List[str]]): Labels keyed by component name.
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"""
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labels = {}
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for name, pipe in self._components:
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if hasattr(pipe, "hide_labels") and pipe.hide_labels is True:
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continue
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if hasattr(pipe, "labels"):
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labels[name] = list(pipe.labels)
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return SimpleFrozenDict(labels)
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@ -26,6 +26,8 @@ class Pipe:
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@property
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def labels(self) -> Tuple[str, ...]: ...
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@property
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def hide_labels(self) -> bool: ...
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@property
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def label_data(self) -> Any: ...
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def _require_labels(self) -> None: ...
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def set_error_handler(
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@ -102,6 +102,10 @@ cdef class Pipe:
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def labels(self) -> Tuple[str, ...]:
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return tuple()
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@property
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def hide_labels(self) -> bool:
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return False
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@property
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def label_data(self):
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"""Optional JSON-serializable data that would be sufficient to recreate
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@ -99,6 +99,10 @@ class SentenceRecognizer(Tagger):
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# are 0
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return tuple(["I", "S"])
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@property
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def hide_labels(self):
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return True
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@property
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def label_data(self):
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return None
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@ -97,3 +97,7 @@ def test_overfitting_IO():
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]
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assert_equal(batch_deps_1, batch_deps_2)
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assert_equal(batch_deps_1, no_batch_deps)
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# test internal pipe labels vs. Language.pipe_labels with hidden labels
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assert nlp.get_pipe("senter").labels == ("I", "S")
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assert "senter" not in nlp.pipe_labels
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