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Enable Float16 datatype test #44501

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9f575c3
Adding test for checking float16 datatype for vector embedding policy
allenkim0129 Oct 23, 2025
867296b
Revert unnecessary change
allenkim0129 Oct 23, 2025
698a8dc
Remove unnecessary print
allenkim0129 Oct 23, 2025
187cc6f
Revert unnecessary change
allenkim0129 Oct 23, 2025
75e6045
Merge branch 'Azure:main' into users/allekim/test/float14WithVectorEm…
allenkim0129 Dec 22, 2025
db5f77d
Enable float16 tests
allenkim0129 Dec 22, 2025
aa28682
Add async float16 tests
allenkim0129 Dec 22, 2025
416ce2f
address comments
allenkim0129 Dec 23, 2025
e1de10d
Merge branch 'main' into users/allekim/test/float14WithVectorEmbeddin…
allenkim0129 Dec 23, 2025
a7f5af4
address comments
allenkim0129 Dec 23, 2025
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2 changes: 0 additions & 2 deletions sdk/cosmos/azure-cosmos/tests/test_vector_policy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,6 @@ def setUpClass(cls):
def tearDownClass(cls):
test_config.TestConfig.try_delete_database_with_id(cls.client, cls.test_db.id)

@unittest.skip
def test_create_valid_vector_embedding_policy(self):
# Using valid data types
data_types = ["float32", "float16", "int8", "uint8"]
Expand All @@ -54,7 +53,6 @@ def test_create_valid_vector_embedding_policy(self):
vector_embedding_policy=vector_embedding_policy)
properties = created_container.read()
assert properties["vectorEmbeddingPolicy"]["vectorEmbeddings"][0]["dataType"] == data_type
self.test_db.delete_container('vector_container_' + data_type)

def test_create_vector_embedding_container(self):
indexing_policy = {
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19 changes: 19 additions & 0 deletions sdk/cosmos/azure-cosmos/tests/test_vector_policy_async.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,25 @@ async def asyncSetUp(self):
async def asyncTearDown(self):
await self.client.close()

async def test_create_valid_vector_embedding_policy_async(self):
# Using valid data types
data_types = ["float32", "float16", "int8", "uint8"]
for data_type in data_types:
vector_embedding_policy = {
"vectorEmbeddings": [
{
"path": "/vector1",
"dataType": data_type,
"dimensions": 256,
"distanceFunction": "euclidean"
}]}
created_container = await self.test_db.create_container(
id='vector_container_' + data_type,
partition_key=PartitionKey(path="/id"),
vector_embedding_policy=vector_embedding_policy)
properties = await created_container.read()
assert properties["vectorEmbeddingPolicy"]["vectorEmbeddings"][0]["dataType"] == data_type

async def test_create_vector_embedding_container_async(self):
indexing_policy = {
"vectorIndexes": [
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