refactor: excel parse

server/venv/lib/python3.9/site-packages/qdrant_client/local/sparse.py

@@ -0,0 +1,36 @@
+import numpy as np
+
+from qdrant_client.http.models import SparseVector
+
+
+def empty_sparse_vector() -> SparseVector:
+    return SparseVector(
+        indices=[],
+        values=[],
+    )
+
+
+def validate_sparse_vector(vector: SparseVector) -> None:
+    assert len(vector.indices) == len(
+        vector.values
+    ), "Indices and values must have the same length"
+    assert not np.isnan(vector.values).any(), "Values must not contain NaN"
+    assert len(vector.indices) == len(set(vector.indices)), "Indices must be unique"
+
+
+def is_sorted(vector: SparseVector) -> bool:
+    for i in range(1, len(vector.indices)):
+        if vector.indices[i] < vector.indices[i - 1]:
+            return False
+    return True
+
+
+def sort_sparse_vector(vector: SparseVector) -> SparseVector:
+    if is_sorted(vector):
+        return vector
+
+    sorted_indices = np.argsort(vector.indices)
+    return SparseVector(
+        indices=[vector.indices[i] for i in sorted_indices],
+        values=[vector.values[i] for i in sorted_indices],
+    )