median, mean and argsort added for vector class

src/copapy/filters.py

@@ -0,0 +1,64 @@
+from . import variable, vector
+from ._basic_types import iif, unifloat, TNum
+from typing import Any, Iterable
+
+
+def homogenize_vector(input_values: Iterable[TNum | variable[TNum]]) -> Iterable[TNum] | Iterable[variable[TNum]]:
+    input_list = list(input_values)
+    if any(isinstance(val, variable) for val in input_list):
+        return (v if isinstance(v, variable) else variable(v) for v in input_list)
+    else:
+        return (v for v in input_list if not isinstance(v, variable))
+
+
+def _inv_argsort(input_vector: vector[TNum]) -> vector[int]:
+    positions = (sum((v1 > v2) for v2 in input_vector) for v1 in input_vector)
+    return vector(positions)
+
+
+def argsort(input_vector: vector[TNum]) -> vector[int]:
+    """
+    Perform an indirect sort. It returns an array of indices that index data 
+    in sorted order.
+
+    Args:
+        input_vector: The input vector containing numerical values.
+
+    Returns:
+        Index array.
+    """
+    return _inv_argsort(_inv_argsort(input_vector))
+
+
+def median(input_vector: vector[TNum]) -> TNum | variable[TNum]:
+    """
+    Applies a median filter to the input vector and returns the median as a unifloat.
+
+    Args:
+        input_vector: The input vector containing numerical values.
+
+    Returns:
+        The median value of the input vector.
+    """
+    vec = input_vector
+    ret = vec[0]
+    for v1 in vec:
+        n2 = len(vec) // 2 + 1
+        lt = sum(v1 < v2 for v2 in vec)
+        gt = sum(v1 > v2 for v2 in vec)
+        ret = iif((lt < n2) & (gt < n2), v1, ret)
+
+    return ret
+
+
+def mean(input_vector: vector[Any]) -> unifloat:
+    """
+    Applies a mean filter to the input vector and returns the mean as a unifloat.
+
+    Args:
+        input_vector (vector): The input vector containing numerical values.
+
+    Returns:
+        unifloat: The mean value of the input vector.
+    """
+    return input_vector.sum() / len(input_vector)

tests/test_vector.py

@@ -1,7 +1,7 @@
 import math
 import copapy as cp
 import pytest
-
+from copapy import filters
 
 def test_vectors_init():
     tt1 = cp.vector(range(3)) + cp.vector([1.1, 2.2, 3.3])
@@ -95,12 +95,27 @@ def test_non_compiled_vector_operations():
     assert rotated.values[2] == pytest.approx(3.0, abs=1e-6)  # pyright: ignore[reportUnknownMemberType]
 
 
-if __name__ == "__main__":
+def test_sort_vector():
-    test_vectors_init()
+    vlist = [50, 21, 20, 10, 22, 1, 80, 70, 90]
-    test_compiled_vectors()
+    t1 = cp.vector(cp.variable(v) for v in vlist)
-    test_vector_operations()
+    #t1 = cp.vector(v for v in vlist)
-    print('Finished!')
+
+    t2 = filters.median(t1)
+
+    tg = cp.Target()
+    tg.compile(t2)
+    tg.run()
+
+    result = tg.read_value(t2)
+
+    ref = sorted(vlist)[len(vlist) // 2]
+    print(sorted(vlist))
+
+    assert ref == result
+
 
 if __name__ == "__main__":
-    test_compiled_vectors()
+    #test_vectors_init()
+    #test_compiled_vectors()
+    test_sort_vector()
     print('Finished!')