Always use tqdm with disable=None

`tqdm` can cause deadlocks in the test suite if enabled.

spacy/cli/apply.py

@@ -133,7 +133,9 @@ def apply(
     if len(text_files) > 0:
         streams.append(_stream_texts(text_files))
     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)
     if output_file.suffix == "":
         output_file = output_file.with_suffix(".spacy")

spacy/cli/benchmark_speed.py

@@ -89,7 +89,7 @@ class Quartiles:
 def annotate(
     nlp: Language, docs: List[Doc], batch_size: Optional[int]
 ) -> 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 = []
     while True:
         with time_context() as elapsed:

spacy/cli/profile.py

@@ -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:
-    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
 
 

spacy/training/initialize.py

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