feat(other): add functional programming pipeline implementation with unix pipeline syntax

other/pipeline.py

@@ -0,0 +1,46 @@
+from collections.abc import Callable, Sequence
+from typing import Any, TypeVar
+
+T = TypeVar("T")
+
+
+class Pipeline:
+    """
+    Functional Programming implementation of a Pipeline with Unix Pipe Syntax.
+    Instead of using the "dot" notation for applying a function on a given object,
+    it uses `|` inspired from unix pipeline.
+
+    Examples:
+        >>> pipeline = Pipeline()
+        >>> pipeline = pipeline | (lambda x: x + 1) | (lambda x: x * 2)
+        >>> pipeline(1)
+        4
+        >>> pipeline = Pipeline() | (lambda x: x * x) | (lambda x: x - 3)
+        >>> pipeline(3)
+        6
+        >>> from functools import reduce
+        >>> def f1(ls): return map(lambda x: x**2, ls)
+        >>> def f2(ls): return filter(lambda x: x % 2 == 0, ls)
+        >>> def f3(ls): return reduce(lambda x, y: x + y, ls)
+        >>> pipeline = Pipeline() | f1 | f2 | f3
+        >>> pipeline([1, 2, 3, 4])
+        20
+    """
+
+    def __init__(self, f_ls: Sequence[Callable] | None = None):
+        self._f_ls = f_ls or []
+
+    def __or__(self, other: Callable) -> "Pipeline":
+        return Pipeline(f_ls=[*self._f_ls, other])
+
+    def __call__(self, x: T, f_ls_: Sequence[Callable] | None = None) -> Any:
+        f_ls = f_ls_ or self._f_ls
+        if len(f_ls) == 1:
+            return f_ls[0](x)
+        return self(f_ls[0](x), f_ls_=f_ls[1:])
+
+
+if __name__ == "__main__":
+    import doctest
+
+    doctest.testmod()