ulab: update

.. add new modules and functions to our shared-bindings stubs

extmod/ulab

@@ -1 +1 @@
-Subproject commit cf61d728e70b9ec57e5711b40540793a89296f5d
+Subproject commit cbdd1295c11e9b810a2712ac5bdfd51381967bf0

shared-bindings/ulab/approx/__init__.pyi

@@ -0,0 +1,52 @@
+"""Numerical approximation methods"""
+
+def bisect(fun, a, b, *, xtol=2.4e-7, maxiter=100) -> float:
+    """
+    :param callable f: The function to bisect
+    :param float a: The left side of the interval
+    :param float b: The right side of the interval
+    :param float xtol: The tolerance value
+    :param float maxiter: The maximum number of iterations to perform
+    
+    Find a solution (zero) of the function ``f(x)`` on the interval
+    (``a``..``b``) using the bisection method.  The result is accurate to within
+    ``xtol`` unless more than ``maxiter`` steps are required."""
+    ...
+
+def newton(fun, x0, *, xtol=2.4e-7, rtol=0.0, maxiter=50) -> float:
+    """
+    :param callable f: The function to bisect
+    :param float x0: The initial x value
+    :param float xtol: The absolute tolerance value
+    :param float rtol: The relative tolerance value
+    :param float maxiter: The maximum number of iterations to perform
+
+    Find a solution (zero) of the function ``f(x)`` using Newton's Method.
+    The result is accurate to within ``xtol * rtol * |f(x)|`` unless more than
+    ``maxiter`` steps are requried."""
+    ...
+
+def fmin(fun, x0, *, xatol=2.4e-7, fatol=2.4e-7, maxiter=200) -> float:
+    """
+    :param callable f: The function to bisect
+    :param float x0: The initial x value
+    :param float xatol: The absolute tolerance value
+    :param float fatol: The relative tolerance value
+
+    Find a minimum of the function ``f(x)`` using the downhill simplex method.
+    The located ``x`` is within ``fxtol`` of the actual minimum, and ``f(x)``
+    is within ``fatol`` of the actual minimum unless more than ``maxiter``
+    steps are requried."""
+    ...
+
+def interp(x: ulab.array, xp:ulab.array, fp:ulab.array, *, left=None, right=None) -> ulab.array:
+    """
+    :param ulab.array x: The x-coordinates at which to evaluate the interpolated values.
+    :param ulab.array xp: The x-coordinates of the data points, must be increasing
+    :param ulab.array fp: The y-coordinates of the data points, same length as xp
+    :param left: Value to return for ``x < xp[0]``, default is ``fp[0]``.
+    :param right: Value to return for ``x > xp[-1]``, default is ``fp[-1]``.
+    
+    Returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xp, fp), evaluated at x."""
+    ...
+

shared-bindings/ulab/compare/__init__.pyi

@@ -28,3 +28,11 @@ def minimum(x1, x2):
     must be the same size.  If the inputs are both scalars, a number is
     returned"""
     ...
+
+def equal(x1, x2):
+    """Return an array of bool which is true where x1[i] == x2[i] and false elsewhere"""
+    ...
+
+def not_equal(x1, x2):
+    """Return an array of bool which is false where x1[i] == x2[i] and true elsewhere"""
+    ...

shared-bindings/ulab/vector/__init__.pyi

@@ -106,3 +106,13 @@ def tan():
 def tanh():
     """Computes the hyperbolic tangent"""
     ...
+
+def vectorise(f, *, otypes=None):
+    """
+    :param callable f: The function to wrap
+    :param otypes: List of array types that may be returned by the function.  None is intepreted to mean the return value is float.
+
+    Wrap a Python function `f` so that it can be applied to arrays.
+
+    The callable must return only values of the types specified by otypes, or the result is undefined."""
+    ...