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🤖🧹 reformat Python files [skip ci]
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M1Al3x authored and actions-user committed Nov 6, 2023
1 parent bd01aee commit 8a63c3b
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Showing 2 changed files with 18 additions and 5 deletions.
18 changes: 16 additions & 2 deletions src/helpers.py
Original file line number Diff line number Diff line change
Expand Up @@ -389,15 +389,29 @@ def get_recordings_from_paradigm(paradigm, request):

if request.COOKIES.get("synthesized_audio_in_paradigm") == "yes":
speech_db_eq.insert(0, "synth")
query_terms = [query_terms[0], query_terms[1], query_terms[2], query_terms[3],query_terms[4] ]
query_terms = [
query_terms[0],
query_terms[1],
query_terms[2],
query_terms[3],
query_terms[4],
]
for search_terms in divide_chunks(query_terms, 30):
for source in speech_db_eq:
temp.append(None)
index = 0
for search_terms in divide_chunks(query_terms, 30):
for source in speech_db_eq:
url = f"https://speech-db.altlab.app/{source}/api/bulk_search"
x = threading.Thread(target=get_recordings_from_url, args=(search_terms, url, temp, index,))
x = threading.Thread(
target=get_recordings_from_url,
args=(
search_terms,
url,
temp,
index,
),
)
threads.append(x)
x.start()
index += 1
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5 changes: 2 additions & 3 deletions src/views.py
Original file line number Diff line number Diff line change
Expand Up @@ -130,7 +130,7 @@ def word_details_api(request, slug: str):
if matched_recs:
recordings.extend(matched_recs)
print("here we go")
if paradigm is not None:
if paradigm is not None:
FST_DIR = settings.BASE_DIR / "res" / "fst"
paradigm_manager = ParadigmManager(
layout_directory=settings.LAYOUTS_DIR,
Expand All @@ -152,7 +152,6 @@ def word_details_api(request, slug: str):
}
}


return Response(content)


Expand Down Expand Up @@ -248,7 +247,6 @@ def search_api(request):
return Response(context)



def make_wordnet_format(wn_class):
"""
Accepts: wn_class of format (n) bear 1
Expand Down Expand Up @@ -298,6 +296,7 @@ def wordnet_api(request, classification):

return Response(context)


def relabelInflectionalCategory(ic):
with open(Path(settings.RESOURCES_DIR / "altlabel.tsv")) as f:
labels = Relabelling.from_tsv(f)
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