Update the developer start guide

.github/PULL_REQUEST_TEMPLATE.md

@@ -6,7 +6,7 @@ Here are a few important guidelines and requirements to check before your PR can
 + [ ] The description and/or commit message(s) references the relevant GitHub issue(s).
 + [ ] [`pre-commit`](https://pre-commit.com/#installation) is installed and [set up](https://pre-commit.com/#3-install-the-git-hook-scripts).
 + [ ] The commit messages follow [these guidelines](https://tbaggery.com/2008/04/19/a-note-about-git-commit-messages.html).
-+ [ ] The commits correspond to [_relevant logical changes_](https://wiki.openstack.org/wiki/GitCommitMessages#Structural_split_of_changes), and there are **no commits that fix changes introduced by other commits in the same branch/BR**.  If your commit description starts with "Fix...", then you're probably making this mistake.
++ [ ] The commits correspond to [_relevant logical changes_](https://wiki.openstack.org/wiki/GitCommitMessages#Structural_split_of_changes), and there are **no commits that fix changes introduced by other commits in the same branch/BR**.
 + [ ] There are tests covering the changes introduced in the PR.
 
 Don't worry, your PR doesn't need to be in perfect order to submit it.  As development progresses and/or reviewers request changes, you can always [rewrite the history](https://git-scm.com/book/en/v2/Git-Tools-Rewriting-History#_rewriting_history) of your feature/PR branches.

aesara/misc/doubleop.py

-# This is the example in the Aesara/doc/tutorial/extending_aesara.txt
-import aesara
-from aesara.graph.basic import Apply
-from aesara.graph.op import Op
-
-
-class DoubleOp(Op):
-    """
-    Double each element of a tensor.
-
-    Parameters
-    ----------
-    x : tensor
-        Input tensor
-
-    Returns
-    -------
-    tensor
-        a tensor of the same shape and dtype as the input with all
-        values doubled.
-
-    Notes
-    -----
-    this is a test note
-
-    See Also
-    --------
-    :class:`~aesara.tensor.elemwise.Elemwise` : You can use this to replace
-    this example.  Just execute `x * 2` with x being an Aesara variable.
-
-
-    .. versionadded:: 0.6
-    """
-
-    def __eq__(self, other):
-        return type(self) == type(other)
-
-    def __hash__(self):
-        return hash(type(self))
-
-    def __str__(self):
-        return self.__class__.__name__
-
-    def make_node(self, x):
-        x = aesara.tensor.as_tensor_variable(x)
-        return Apply(self, [x], [x.type()])
-
-    def perform(self, node, inputs, output_storage):
-        x = inputs[0]
-        z = output_storage[0]
-        z[0] = x * 2
-
-    def infer_shape(self, fgraph, node, i0_shapes):
-        return i0_shapes
-
-    def grad(self, inputs, output_grads):
-        return [output_grads[0] * 2]
-
-    def R_op(self, inputs, eval_points):
-        # R_op can receive None as eval_points.
-        # That means there is no differentiable path through that input.
-        # If this implies that you cannot compute some outputs,
-        # return None for those.
-        if eval_points[0] is None:
-            return eval_points
-        return self.grad(inputs, eval_points)

doc/extending/extending_aesara.rst

@@ -853,7 +853,6 @@ The section :ref:`Other Ops <other_ops>` includes more instructions for
 the following specific cases:
 
  - :ref:`scalar_ops`
- - :ref:`scipy_ops`
  - :ref:`sparse_ops`
  - :ref:`Random ops <random_ops>`
  - :ref:`openmp_ops`

doc/extending/scan.rst

@@ -143,16 +143,16 @@ through time for these variables.
 
 To synthesize :
 
-===========================================================  =====================================================  ==========================================================  ===========================================================  =========================================================  ======================================================
-Type of `Scan` variables                                       Corresponding outer input                              Corresponding inner input at timestep ``t`` (indexed from 0)  Corresponding inner output at timestep ``t`` (indexed from 0)  Corresponding outer output ``t``                             Corresponding argument of the `aesara.scan` function
-===========================================================  =====================================================  ==========================================================  ===========================================================  =========================================================  ======================================================
-Sequence                                                     Sequence of elements ``X``                                 Individual sequence element ``X[t]``                            *No corresponding inner output*                              *No corresponding outer output*                            `sequences`
-Non-Sequence                                                 Any variable ``X``                                         Variable identical to ``X``                                     *No corresponding inner output*                              *No corresponding outer output*                            `non_sequences`
-Non-recurring output (NITSOT)                                *No corresponding outer input*                         *No corresponding inner input*                              Output value at timestep ``t``                                 Concatenation of the values of the output at all timestep  `outputs_info`
+===========================================================  =======================================================  ============================================================  =============================================================  =========================================================  ======================================================
+Type of `Scan` variables                                     Corresponding outer input                                Corresponding inner input at timestep ``t`` (indexed from 0)  Corresponding inner output at timestep ``t`` (indexed from 0)  Corresponding outer output ``t``                           Corresponding argument of the `aesara.scan` function
+===========================================================  =======================================================  ============================================================  =============================================================  =========================================================  ======================================================
+Sequence                                                     Sequence of elements ``X``                               Individual sequence element ``X[t]``                          *No corresponding inner output*                                *No corresponding outer output*                            `sequences`
+Non-Sequence                                                 Any variable ``X``                                       Variable identical to ``X``                                   *No corresponding inner output*                                *No corresponding outer output*                            `non_sequences`
+Non-recurring output (NITSOT)                                *No corresponding outer input*                           *No corresponding inner input*                                Output value at timestep ``t``                                 Concatenation of the values of the output at all timestep  `outputs_info`
 Singly-recurrent output (SITSOT)                             Initial value (value at timestep ``-1``)                 Output value at previous timestep (``t-1``)                   Output value at timestep ``t``                                 Concatenation of the values of the output at all timestep  `outputs_info`
-Multiply-recurrent output (MITSOT)                           Initial values for the required timesteps where ``t<0``  Output value at previous required timesteps                 Output value at timestep ``t``                                 Concatenation of the values of the output at all timestep  `outputs_info`
-Multiply-recurrent multiple outputs (MITMOT)                 Initial values for the required timesteps where ``t<0``  Output value at previous required timesteps                 Output values for current and multiple future timesteps      Concatenation of the values of the output at all timestep  *No corresponding argument*
-===========================================================  =====================================================  ==========================================================  ===========================================================  =========================================================  ======================================================
+Multiply-recurrent output (MITSOT)                           Initial values for the required timesteps where ``t<0``  Output value at previous required timesteps                   Output value at timestep ``t``                                 Concatenation of the values of the output at all timestep  `outputs_info`
+Multiply-recurrent multiple outputs (MITMOT)                 Initial values for the required timesteps where ``t<0``  Output value at previous required timesteps                   Output values for current and multiple future timesteps        Concatenation of the values of the output at all timestep  *No corresponding argument*
+===========================================================  =======================================================  ============================================================  =============================================================  =========================================================  ======================================================
 
 
 .. _scan_internals_optimizations: