some new features

.venv/lib/python3.12/site-packages/statsmodels/tools/rng_qrng.py

@@ -0,0 +1,55 @@
+import numpy as np
+import scipy.stats as stats
+
+_future_warn = """\
+Passing `None` as the seed currently return the NumPy singleton RandomState
+(np.random.mtrand._rand). After release 0.13 this will change to using the
+default generator provided by NumPy (np.random.default_rng()). If you need
+reproducible draws, you should pass a seeded np.random.Generator, e.g.,
+
+import numpy as np
+seed = 32839283923801
+rng = np.random.default_rng(seed)"
+"""
+
+
+def check_random_state(seed=None):
+    """
+    Turn `seed` into a random number generator.
+
+    Parameters
+    ----------
+    seed : {None, int, array_like[ints], `numpy.random.Generator`,
+            `numpy.random.RandomState`, `scipy.stats.qmc.QMCEngine`}, optional
+
+        If `seed` is None fresh, unpredictable entropy will be pulled
+        from the OS and `numpy.random.Generator` is used.
+        If `seed` is an int or ``array_like[ints]``, a new ``Generator``
+        instance is used, seeded with `seed`.
+        If `seed` is already a ``Generator``, ``RandomState`` or
+        `scipy.stats.qmc.QMCEngine` instance then
+        that instance is used.
+
+        `scipy.stats.qmc.QMCEngine` requires SciPy >=1.7. It also means
+        that the generator only have the method ``random``.
+
+    Returns
+    -------
+    seed : {`numpy.random.Generator`, `numpy.random.RandomState`,
+            `scipy.stats.qmc.QMCEngine`}
+
+        Random number generator.
+    """
+    if hasattr(stats, "qmc") and \
+            isinstance(seed, stats.qmc.QMCEngine):
+        return seed
+    elif isinstance(seed, np.random.RandomState):
+        return seed
+    elif isinstance(seed, np.random.Generator):
+        return seed
+    elif seed is not None:
+        return np.random.default_rng(seed)
+    else:
+        import warnings
+        warnings.warn(_future_warn, FutureWarning)
+        return np.random.mtrand._rand