explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-01-24 00:04:15 +03:00
Code Issues Packages Projects Releases Wiki Activity

remove redundant __call__ method in pipes.TextCategorizer (#4305)

Browse Source 
* remove redundant __call__ method in pipes.TextCategorizer

Because the parent __call__ method behaves in the same way.

* fix: Pipe.__call__ arg

* fix: invalid arg in Pipe.__call__

* modified:   spacy/tests/regression/test_issue4278.py (#4278)

* deleted:    Pipfile
This commit is contained in:
tamuhey 2019-09-19 04:31:27 +09:00 committed by Matthew Honnibal
parent ee15fdfe88
commit 875f3e5d8c
2 changed files with 3 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
spacy/pipeline/pipes.pyx
View File

@ -69,7 +69,7 @@ class Pipe(object):
predictions = self.predict([doc]) predictions = self.predict([doc])
if isinstance(predictions, tuple) and len(predictions) == 2: if isinstance(predictions, tuple) and len(predictions) == 2:
scores, tensors = predictions scores, tensors = predictions
self.set_annotations([doc], scores, tensor=tensors) self.set_annotations([doc], scores, tensors=tensors)
else: else:
self.set_annotations([doc], predictions) self.set_annotations([doc], predictions)
return doc return doc
@ -90,7 +90,7 @@ class Pipe(object):
predictions = self.predict(docs) predictions = self.predict(docs)
if isinstance(predictions, tuple) and len(tuple) == 2: if isinstance(predictions, tuple) and len(tuple) == 2:
scores, tensors = predictions scores, tensors = predictions
self.set_annotations(docs, scores, tensor=tensors) self.set_annotations(docs, scores, tensors=tensors)
else: else:
self.set_annotations(docs, predictions) self.set_annotations(docs, predictions)
yield from docs yield from docs
@ -932,11 +932,6 @@ class TextCategorizer(Pipe):
def labels(self, value): def labels(self, value):
self.cfg["labels"] = tuple(value) self.cfg["labels"] = tuple(value)
def __call__(self, doc):
scores, tensors = self.predict([doc])
self.set_annotations([doc], scores, tensors=tensors)
return doc
def pipe(self, stream, batch_size=128, n_threads=-1): def pipe(self, stream, batch_size=128, n_threads=-1):
for docs in util.minibatch(stream, size=batch_size): for docs in util.minibatch(stream, size=batch_size):
docs = list(docs) docs = list(docs)

2
spacy/tests/regression/test_issue4278.py
View File

@ -13,7 +13,7 @@ class DummyPipe(Pipe):
def predict(self, docs): def predict(self, docs):
return ([1, 2, 3], [4, 5, 6]) return ([1, 2, 3], [4, 5, 6])
def set_annotations(self, docs, scores, tensor=None): def set_annotations(self, docs, scores, tensors=None):
return docs return docs