replacing pytensor-devs for aesara-devs (#6817)

* replacing pytensor-devs for aesara-devs

* fix typo

* Update docs/source/learn/core_notebooks/pymc_pytensor.ipynb

Change pytensor hypterlink to "pymc-devs/pytensor"

Co-authored-by: larryshamalama <[email protected]>

---------

Co-authored-by: larryshamalama <[email protected]>

Author: amyoshino

docs/source/learn/core_notebooks/pymc_pytensor.ipynb

@@ -407,7 +407,7 @@ def change_specify_shape_size(op, ss, new_size, expand) -> TensorVariable:
         if ndim_supp > 0:
             new_shapes[-ndim_supp:] = shapes[-ndim_supp:]
 
-    # specify_shape has a wrong signature https://github.com/pytensor-devs/pytensor/issues/1164
+    # specify_shape has a wrong signature https://github.com/aesara-devs/aesara/issues/1164
     return pt.specify_shape(new_var, new_shapes)  # type: ignore
 
 

pymc/distributions/shape_utils.py

@@ -418,7 +418,7 @@ def construct_ir_fgraph(
     For instance, some `Op`s will be lifted through `MeasurableVariable`\s in
     this IR, and the resulting graphs will not be computationally sound,
     because they wouldn't produce independent samples when the original graph
-    would.  See https://github.com/pytensor-devs/aeppl/pull/78.
+    would.  See https://github.com/aesara-devs/aeppl/pull/78.
 
     Returns
     -------

pymc/logprob/rewriting.py

@@ -115,7 +115,7 @@ def get_jaxified_graph(
     # JAX sequential optimizer without warnings. We made sure there
     # are no mutable input variables, so we only need to check for
     # "destroyers". This should be automatically handled by PyTensor
-    # once https://github.com/pytensor-devs/pytensor/issues/637 is fixed.
+    # once https://github.com/aesara-devs/aesara/issues/637 is fixed.
     fgraph.attach_feature(
         Supervisor(
             input

pymc/sampling/jax.py

@@ -701,7 +701,7 @@ def diracdelta_rng_fn(self, size, c):
 
         @pytest.mark.parametrize("floatX", ["float32", "float64"])
         @pytest.mark.xfail(
-            sys.platform == "win32", reason="https://github.com/pytensor-devs/pytensor/issues/871"
+            sys.platform == "win32", reason="https://github.com/aesara-devs/aesara/issues/871"
         )
         def test_dtype(self, floatX):
             with pytensor.config.change_flags(floatX=floatX):

tests/distributions/test_distribution.py

@@ -134,7 +134,7 @@ def test_deterministic_samples(sampler):
 
 def test_get_jaxified_graph():
     # Check that jaxifying a graph does not emit the Supervisor Warning. This test can
-    # be removed once https://github.com/pytensor-devs/pytensor/issues/637 is sorted.
+    # be removed once https://github.com/aesara-devs/aesara/issues/637 is sorted.
     x = pt.scalar("x")
     y = pt.exp(x)
     with warnings.catch_warnings():