Add some np stubs.

Author: lschoe

README.md

@@ -21,7 +21,7 @@ combined with asynchronous evaluation of the associated protocols.
 See `demos` for Python programs and Jupyter notebooks with lots of example code. Click the "launch binder" badge above to view the entire
 repository and try out the Jupyter notebooks from the `demos` directory in the cloud, without any install.
 
-The [MPyC homepage](https://www.win.tue.nl/~berry/mpyc/) has some more info and background.
+The [MPyC homepage](https://berry.win.tue.nl/mpyc/) has some more info and background.
 
 ## Installation
 

demos/OneWayHashChainsExplained.ipynb

@@ -134,9 +134,9 @@
     "\n",
     "Using function $f$, we will now generate one-way hash chains in a secure way, such that the initial seed value $x_0$ as well as all other values on the chain will be secret-shared when the program is run in a multiparty setting. Moreover, we will also traverse the so-generated hash chain in the reverse order, operating on secret-shared values throughout the entire process. \n",
     "\n",
-    "The traversal of the hash chain in reverse corresponds to the way a hash chain is used in the Lamport identification scheme, first revealing $x_{n-1}$, then $x_{n-2}$, and so on, until $x_0$ is revealed at the end. To reverse one-way hash chain efficiently, we use algorithms for [optimal binary pebbling](https://www.win.tue.nl/~berry/pebbling/). This way, we will only use at most $\\lceil k/2\\rceil$ hashes (applications of $f$) in any identification round, while limiting the storage to $k+1$ hash values at any time. \n",
+    "The traversal of the hash chain in reverse corresponds to the way a hash chain is used in the Lamport identification scheme, first revealing $x_{n-1}$, then $x_{n-2}$, and so on, until $x_0$ is revealed at the end. To reverse one-way hash chain efficiently, we use algorithms for [optimal binary pebbling](https://berry.win.tue.nl/pebbling/). This way, we will only use at most $\\lceil k/2\\rceil$ hashes (applications of $f$) in any identification round, while limiting the storage to $k+1$ hash values at any time. \n",
     "\n",
-    "We basically copy the [Python code for binary pebbling](https://www.win.tue.nl/~berry/pebbling/src/python/BinaryPebbling.html), which makes judicious use of [Python generators](https://docs.python.org/tutorial/classes.html#generators). The hash function is replaced with the MPyC one-way function `f()` defined above:"
+    "We basically copy the [Python code for binary pebbling](https://berry.win.tue.nl/pebbling/src/python/BinaryPebbling.html), which makes judicious use of [Python generators](https://docs.python.org/tutorial/classes.html#generators). The hash function is replaced with the MPyC one-way function `f()` defined above:"
    ]
   },
   {

mpyc/numpy.py

@@ -163,6 +163,27 @@ def _item_shape(shape, key):
 
     if np.lib.NumpyVersion(np.__version__) < '1.24.0':
         logging.warning(f'NumPy {np.__version__} not (fully) supported. Upgrade to NumPy 1.24+.')
+
+    if np.lib.NumpyVersion(np.__version__) < '2.0.0':
+        np.concat = np.concatenate
+        np.pow = np.power
+
+    if np.lib.NumpyVersion(np.__version__) < '2.1.0':
+        def _(x, /, *, axis=None, dtype=None, out=None, include_initial=False):
+            if include_initial:
+                x = np.insert(x, 0, 0, axis=axis)  # TODO: insert for secure arrays
+            return np.cumsum(x, axis=axis, dtype=dtype, out=out)
+
+        np.cumulative_sum = _
+
+        def _(x, /, *, axis=None, dtype=None, out=None, include_initial=False):
+            if include_initial:
+                x = np.insert(x, 0, 1, axis=axis)  # TODO: insert for secure arrays
+            return np.cumprod(x, axis=axis, dtype=dtype, out=out)
+
+        np.cumulative_prod = _
+
+
 except ImportError:
     del _matmul_shape
     del _item_shape

pyproject.toml

@@ -41,5 +41,5 @@ requires-python = '>=3.10'
 documentation = 'https://mpyc.readthedocs.io'
 discussions = 'https://github.com/lschoe/mpyc/discussions'
 'release notes' = 'https://github.com/lschoe/mpyc/releases'
-homepage = 'https://www.win.tue.nl/~berry/mpyc/'
+homepage = 'https://berry.win.tue.nl/mpyc/'
 repository =  'https://github.com/lschoe/mpyc'