Update scipy dependency to >= 1.4.1

RELEASE-NOTES.md

@@ -3,6 +3,7 @@
 ## PyMC3 vNext (4.0.0)
 ### Breaking Changes
 - ⚠ Theano-PyMC has been replaced with Aesara, so all external references to `theano`, `tt`, and `pymc3.theanof` need to be replaced with `aesara`, `at`, and `pymc3.aesaraf` (see [4471](https://github.com/pymc-devs/pymc3/pull/4471)).
+- ⚠ PyMC3 now requires Scipy version `>= 1.4.1` (see [4736](https://github.com/pymc-devs/pymc3/pull/4857)).
 - ArviZ `plots` and `stats` *wrappers* were removed. The functions are now just available by their original names (see [#4549](https://github.com/pymc-devs/pymc3/pull/4471) and `3.11.2` release notes).
 - The GLM submodule has been removed, please use [Bambi](https://bambinos.github.io/bambi/) instead.
 - The `Distribution` keyword argument `testval` has been deprecated in favor of `initval`.

pymc3/tests/test_distributions.py

@@ -29,8 +29,6 @@
 from aesara.tensor.var import TensorVariable
 from numpy import array, inf, log
 from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
-from packaging.version import parse
-from scipy import __version__ as scipy_version
 from scipy import integrate
 from scipy.special import erf, logit
 
@@ -110,8 +108,6 @@
 from pymc3.tests.helpers import select_by_precision
 from pymc3.vartypes import continuous_types
 
-SCIPY_VERSION = parse(scipy_version)
-
 
 def get_lkj_cases():
     """
@@ -1570,29 +1566,19 @@ def test_beta_binomial_distribution(self):
             {"alpha": Rplus, "beta": Rplus, "n": NatSmall},
         )
 
-    @pytest.mark.skipif(
-        condition=(SCIPY_VERSION < parse("1.4.0")), reason="betabinom is new in Scipy 1.4.0"
-    )
-    def test_beta_binomial_logp(self):
+    def test_beta_binomial(self):
         self.check_logp(
             BetaBinomial,
             Nat,
             {"alpha": Rplus, "beta": Rplus, "n": NatSmall},
             lambda value, alpha, beta, n: sp.betabinom.logpmf(value, a=alpha, b=beta, n=n),
         )
-
-    @pytest.mark.skipif(
-        condition=(SCIPY_VERSION < parse("1.4.0")), reason="betabinom is new in Scipy 1.4.0"
-    )
-    def test_beta_binomial_logcdf(self):
         self.check_logcdf(
             BetaBinomial,
             Nat,
             {"alpha": Rplus, "beta": Rplus, "n": NatSmall},
             lambda value, alpha, beta, n: sp.betabinom.logcdf(value, a=alpha, b=beta, n=n),
         )
-
-    def test_beta_binomial_selfconsistency(self):
         self.check_selfconsistency_discrete_logcdf(
             BetaBinomial,
             Nat,

pymc3/tests/test_distributions_random.py

@@ -24,8 +24,6 @@
 import scipy.stats as st
 
 from numpy.testing import assert_almost_equal, assert_array_almost_equal
-from packaging.version import parse
-from scipy import __version__ as scipy_version
 from scipy.special import expit
 
 import pymc3 as pm
@@ -47,8 +45,6 @@
     product,
 )
 
-SCIPY_VERSION = parse(scipy_version)
-
 
 def pymc3_random(
     dist,
@@ -1317,10 +1313,6 @@ def seeded_weibul_rng_fn(self):
     ]
 
 
-@pytest.mark.skipif(
-    condition=(SCIPY_VERSION < parse("1.4.0")),
-    reason="betabinom is new in Scipy 1.4.0",
-)
 class TestBetaBinomial(BaseTestDistribution):
     pymc_dist = pm.BetaBinomial
     pymc_dist_params = {"alpha": 2.0, "beta": 1.0, "n": 5}

requirements.txt

@@ -6,5 +6,5 @@ fastprogress>=0.2.0
 numpy>=1.15.0
 pandas>=0.24.0
 patsy>=0.5.1
-scipy>=1.2.0
+scipy>=1.4.1
 typing-extensions>=3.7.4