style: apply Ruff linting rules and auto-fix code style issues

Signed-off-by: NamCaoHai <namch.hust@gmail.com>

pymilvus/client/utils.py

@@ -3,14 +3,14 @@
 from datetime import timedelta
 from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Tuple, Union
 
+import numpy as np
 import ujson
 
 from pymilvus.exceptions import MilvusException, ParamError
 from pymilvus.grpc_gen.common_pb2 import Status
 
 from .constants import LOGICAL_BITS, LOGICAL_BITS_MASK
 from .types import DataType
-import numpy as np
 
 MILVUS = "milvus"
 ZILLIZ = "zilliz"
@@ -378,23 +378,20 @@ def is_scipy_sparse(cls, data: Any):
 ]
 
 
-def convert_to_standard_form(vector_data):
+def convert_to_standard_form(vector_data: Any) -> Any:
     if len(vector_data.shape) == 1:
         # Calculate the mean and standard deviation of the vector
         mean = np.mean(vector_data)
         std_dev = np.std(vector_data)
 
         # Standardize the vector
-        standardized_vector = (vector_data - mean) / std_dev if std_dev != 0 else vector_data
-        return standardized_vector
-
-    else:
-        # Calculate mean and standard deviation for each row
-        row_means = np.mean(vector_data, axis=1, keepdims=True)
-        row_stds = np.std(vector_data, axis=1, keepdims=True)
-
-        # Standardize each row independently
-        standardized_matrix = np.where(
-            row_stds != 0, (vector_data - row_means) / row_stds, vector_data
-        )
-        return standardized_matrix
+        return (vector_data - mean) / std_dev if std_dev != 0 else vector_data
+
+    # Calculate mean and standard deviation for each row
+    row_means = np.mean(vector_data, axis=1, keepdims=True)
+    row_stds = np.std(vector_data, axis=1, keepdims=True)
+
+    # Standardize each row independently
+    return np.where(
+        row_stds != 0, (vector_data - row_means) / row_stds, vector_data
+    )

pymilvus/orm/collection.py

@@ -32,9 +32,9 @@
     DataTypeNotSupportException,
     ExceptionsMessage,
     IndexNotExistException,
+    MilvusException,
     PartitionAlreadyExistException,
     SchemaNotReadyException,
-    MilvusException,
 )
 from pymilvus.grpc_gen import schema_pb2
 from pymilvus.settings import Config