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Always use tqdm with disable=None

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`tqdm` can cause deadlocks in the test suite if enabled.
This commit is contained in:
Adriane Boyd 2023-09-22 18:20:22 +02:00
parent b4990395f9
commit 467c82439e
4 changed files with 6 additions and 4 deletions
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4
spacy/cli/apply.py
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@ -133,7 +133,9 @@ def apply(
if len(text_files) > 0: if len(text_files) > 0:
streams.append(_stream_texts(text_files)) streams.append(_stream_texts(text_files))
datagen = cast(DocOrStrStream, chain(*streams)) datagen = cast(DocOrStrStream, chain(*streams))
for doc in tqdm.tqdm(nlp.pipe(datagen, batch_size=batch_size, n_process=n_process)): for doc in tqdm.tqdm(
nlp.pipe(datagen, batch_size=batch_size, n_process=n_process), disable=None
):
docbin.add(doc) docbin.add(doc)
if output_file.suffix == "": if output_file.suffix == "":
output_file = output_file.with_suffix(".spacy") output_file = output_file.with_suffix(".spacy")

2
spacy/cli/benchmark_speed.py
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@ -89,7 +89,7 @@ class Quartiles:
def annotate( def annotate(
nlp: Language, docs: List[Doc], batch_size: Optional[int] nlp: Language, docs: List[Doc], batch_size: Optional[int]
) -> numpy.ndarray: ) -> numpy.ndarray:
docs = nlp.pipe(tqdm(docs, unit="doc"), batch_size=batch_size) docs = nlp.pipe(tqdm(docs, unit="doc", disable=None), batch_size=batch_size)
wps = [] wps = []
while True: while True:
with time_context() as elapsed: with time_context() as elapsed:

2
spacy/cli/profile.py
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@ -71,7 +71,7 @@ def profile(model: str, inputs: Optional[Path] = None, n_texts: int = 10000) ->
def parse_texts(nlp: Language, texts: Sequence[str]) -> None: def parse_texts(nlp: Language, texts: Sequence[str]) -> None:
for doc in nlp.pipe(tqdm.tqdm(texts), batch_size=16): for doc in nlp.pipe(tqdm.tqdm(texts, disable=None), batch_size=16):
pass pass

2
spacy/training/initialize.py
View File

@ -302,7 +302,7 @@ def read_vectors(
shape = (truncate_vectors, shape[1]) shape = (truncate_vectors, shape[1])
vectors_data = numpy.zeros(shape=shape, dtype="f") vectors_data = numpy.zeros(shape=shape, dtype="f")
vectors_keys = [] vectors_keys = []
for i, line in enumerate(tqdm.tqdm(f)): for i, line in enumerate(tqdm.tqdm(f, disable=None)):
line = line.rstrip() line = line.rstrip()
pieces = line.rsplit(" ", vectors_data.shape[1]) pieces = line.rsplit(" ", vectors_data.shape[1])
word = pieces.pop(0) word = pieces.pop(0)