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[skip ci] Remove arguments equal to default (#12586) 

Signed-off-by: ThreadDao <yufen.zong@zilliz.com>
pull/12601/head
ThreadDao 2021-12-02 13:05:50 +08:00 committed by GitHub
parent 5eeb3ba830
commit 2b6fe9ba81
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1 changed files with 4 additions and 4 deletions
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8
tests/python_client/testcases/test_insert_20.py
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@ -513,7 +513,7 @@ class TestInsertOperation(TestcaseBase):
"""
schema = cf.gen_default_collection_schema(auto_id=True)
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix), schema=schema)
df = cf.gen_default_dataframe_data(ct.default_nb)
df = cf.gen_default_dataframe_data()
df.drop(ct.default_int64_field_name, axis=1, inplace=True)
mutation_res, _ = collection_w.insert(data=df)
assert cf._check_primary_keys(mutation_res.primary_keys, ct.default_nb)
@ -535,7 +535,7 @@ class TestInsertOperation(TestcaseBase):
c_name = cf.gen_unique_str(prefix)
schema = cf.gen_default_collection_schema(auto_id=True)
collection_w = self.init_collection_wrap(name=c_name, schema=schema)
df = cf.gen_default_dataframe_data(ct.default_nb)
df = cf.gen_default_dataframe_data()
df.drop(ct.default_int64_field_name, axis=1, inplace=True)
mutation_res, _ = collection_w.insert(data=df)
assert cf._check_primary_keys(mutation_res.primary_keys, ct.default_nb)
@ -572,7 +572,7 @@ class TestInsertOperation(TestcaseBase):
c_name = cf.gen_unique_str(prefix)
schema = cf.gen_default_collection_schema(auto_id=True)
collection_w = self.init_collection_wrap(name=c_name, schema=schema)
data = cf.gen_default_list_data(nb=ct.default_nb)
data = cf.gen_default_list_data()
mutation_res, _ = collection_w.insert(data=data[1:])
assert mutation_res.insert_count == ct.default_nb
assert cf._check_primary_keys(mutation_res.primary_keys, ct.default_nb)
@ -686,7 +686,7 @@ class TestInsertOperation(TestcaseBase):
"""
step = 120
nb = 12000
collection_w = self.init_collection_general(prefix, False, dim=dim)[0]
collection_w = self.init_collection_general(prefix, dim=dim)[0]
for _ in range(nb // step):
df = cf.gen_default_dataframe_data(step, dim)
mutation_res, _ = collection_w.insert(data=df)