1 files changed, 78 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/pgvector/utils/vector.py b/.venv/lib/python3.12/site-packages/pgvector/utils/vector.py
new file mode 100644
index 00000000..3fa2f356
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/pgvector/utils/vector.py
@@ -0,0 +1,78 @@
+import numpy as np
+from struct import pack, unpack_from
+
+
+class Vector:
+    def __init__(self, value):
+        # asarray still copies if same dtype
+        if not isinstance(value, np.ndarray) or value.dtype != '>f4':
+            value = np.asarray(value, dtype='>f4')
+
+        if value.ndim != 1:
+            raise ValueError('expected ndim to be 1')
+
+        self._value = value
+
+    def __repr__(self):
+        return f'Vector({self.to_list()})'
+
+    def dimensions(self):
+        return len(self._value)
+
+    def to_list(self):
+        return self._value.tolist()
+
+    def to_numpy(self):
+        return self._value
+
+    def to_text(self):
+        return '[' + ','.join([str(float(v)) for v in self._value]) + ']'
+
+    def to_binary(self):
+        return pack('>HH', self.dimensions(), 0) + self._value.tobytes()
+
+    @classmethod
+    def from_text(cls, value):
+        return cls([float(v) for v in value[1:-1].split(',')])
+
+    @classmethod
+    def from_binary(cls, value):
+        dim, unused = unpack_from('>HH', value)
+        return cls(np.frombuffer(value, dtype='>f4', count=dim, offset=4))
+
+    @classmethod
+    def _to_db(cls, value, dim=None):
+        if value is None:
+            return value
+
+        if not isinstance(value, cls):
+            value = cls(value)
+
+        if dim is not None and value.dimensions() != dim:
+            raise ValueError('expected %d dimensions, not %d' % (dim, value.dimensions()))
+
+        return value.to_text()
+
+    @classmethod
+    def _to_db_binary(cls, value):
+        if value is None:
+            return value
+
+        if not isinstance(value, cls):
+            value = cls(value)
+
+        return value.to_binary()
+
+    @classmethod
+    def _from_db(cls, value):
+        if value is None or isinstance(value, np.ndarray):
+            return value
+
+        return cls.from_text(value).to_numpy().astype(np.float32)
+
+    @classmethod
+    def _from_db_binary(cls, value):
+        if value is None or isinstance(value, np.ndarray):
+            return value
+
+        return cls.from_binary(value).to_numpy().astype(np.float32)