REFACT(doctest): Ελληνικα sumbols in formulas

Author: ankostis

README.rst

@@ -108,46 +108,47 @@ OR with various "extras" dependencies, such as, for plotting::
         like *all*
 
 Let's build a *graphtik* computation graph that produces x3 outputs
-out of 2 inputs `a` and `b`:
+out of 2 inputs `α` and `β`:
 
-- `a x b`
-- `a - a x b`
-- `|a - a x b| ^ 3`
+- `α x β`
+- `α - αxβ`
+- `|α - αxβ| ^ 3`
 
 ..
 
 >>> from graphtik import compose, operation
 >>> from operator import mul, sub
 
 >>> @operation(name="abs qubed",
-...            needs=["a-ab"],
-...            provides=["|a-ab|³"])
+...            needs=["α-α×β"],
+...            provides=["|α-α×β|³"])
 ... def abs_qubed(a):
 ...     return abs(a) ** 3
 
 Compose the ``abspow`` function along the ``mul`` & ``sub``  built-ins
 into a computation graph:
 
 >>> graphop = compose("graphop",
-...     operation(needs=["a", "b"], provides=["ab"])(mul),
-...     operation(needs=["a", "ab"], provides=["a-ab"])(sub),
+...     operation(needs=["α", "β"], provides=["α×β"])(mul),
+...     operation(needs=["α", "α×β"], provides=["α-α×β"])(sub),
 ...     abs_qubed,
 ... )
 >>> graphop
-Pipeline('graphop', needs=['a', 'b', 'ab', 'a-ab'],
-                    provides=['ab', 'a-ab', '|a-ab|³'],
+Pipeline('graphop', needs=['α', 'β', 'α×β', 'α-α×β'],
+                    provides=['α×β', 'α-α×β', '|α-α×β|³'],
                     x3 ops: mul, sub, abs qubed)
 
-Run the graph and request all of the outputs:
+Run the graph and request all of the outputs
+(notice that unicode characters work also as Python identifiers):
 
->>> graphop(a=2, b=5)
-{'a': 2, 'b': 5, 'ab': 10, 'a-ab': -8, '|a-ab|³': 512}
+>>> graphop(α=2, β=5)
+{'α': 2, 'β': 5, 'α×β': 10, 'α-α×β': -8, '|α-α×β|³': 512}
 
 ... or request a subset of outputs:
 
->>> solution = graphop.compute({'a': 2, 'b': 5}, outputs=["a-ab"])
+>>> solution = graphop.compute({'α': 2, 'β': 5}, outputs=["α-α×β"])
 >>> solution
-{'a-ab': -8}
+{'α-α×β': -8}
 
 ... and plot the results (if in *jupyter*, no need to create the file):
 

docs/source/index.rst

@@ -80,40 +80,44 @@ separately with your OS tools)::
 
 
 Let's build a *graphtik* computation :term:`pipeline` that produces the following
-x3 :term:`outputs` out of x2 :term:`inputs` (`a` and `b`):
+x3 :term:`outputs` out of x2 :term:`inputs` (`α` and `β`):
 
 .. math::
    :label: sample-formula
 
-   a \times b
+   α \times β
 
-   a - a \times b
+   α - α \times β
 
-   |a - a \times b| ^ 3
+   |α - α \times β| ^ 3
 
 ..
 
    >>> from graphtik import compose, operation
    >>> from operator import mul, sub
 
    >>> @operation(name="abs qubed",
-   ...            needs=["a-ab"],
-   ...            provides=["|a-ab|³"])
+   ...            needs=["α-α×β"],
+   ...            provides=["|α-α×β|³"])
    ... def abs_qubed(a):
    ...    return abs(a) ** 3
 
+.. hint::
+   Notice that *graphtik* has not problem working in unicode chars
+   for :term:`dependency` names.
+
 Compose the ``abspow`` function along with ``mul`` & ``sub``  built-ins
 into a computation :term:`graph`:
 
    >>> graphop = compose("graphop",
-   ...    operation(mul, needs=["a", "b"], provides=["ab"]),
-   ...    operation(sub, needs=["a", "ab"], provides=["a-ab"]),
+   ...    operation(mul, needs=["α", "β"], provides=["α×β"]),
+   ...    operation(sub, needs=["α", "α×β"], provides=["α-α×β"]),
    ...    abs_qubed,
    ... )
    >>> graphop
-   Pipeline('graphop', needs=['a', 'b', 'ab', 'a-ab'],
-                     provides=['ab', 'a-ab', '|a-ab|³'],
-                     x3 ops: mul, sub, abs qubed)
+   Pipeline('graphop', needs=['α', 'β', 'α×β', 'α-α×β'],
+            provides=['α×β', 'α-α×β', '|α-α×β|³'],
+            x3 ops: mul, sub, abs qubed)
 
 You may plot the function graph in a file like this
 (if in *jupyter*, no need to specify the file, see :ref:`jupyter_rendering`):
@@ -127,9 +131,9 @@ even ones imported from system modules.
 
 Run the graph-operation and request all of the outputs:
 
-   >>> sol = graphop(**{'a': 2, 'b': 5})
+   >>> sol = graphop(**{'α': 2, 'β': 5})
    >>> sol
-   {'a': 2, 'b': 5, 'ab': 10, 'a-ab': -8, '|a-ab|³': 512}
+   {'α': 2, 'β': 5, 'α×β': 10, 'α-α×β': -8, '|α-α×β|³': 512}
 
 :term:`Solutions <solution>` are :term:`plottable` as well:
 
@@ -139,9 +143,9 @@ Run the graph-operation and request all of the outputs:
 
 Run the graph-operation and request a subset of the outputs:
 
-   >>> solution = graphop.compute({'a': 2, 'b': 5}, outputs=["a-ab"])
+   >>> solution = graphop.compute({'α': 2, 'β': 5}, outputs=["α-α×β"])
    >>> solution
-   {'a-ab': -8}
+   {'α-α×β': -8}
 
 .. graphtik::
 

docs/source/operations.rst

@@ -245,21 +245,21 @@ the sample formula :eq:`sample-formula` in :ref:`quick-start` section:
 
    >>> # Compose the mul, sub, and abspow operations into a computation graph.
    >>> graphop = compose("graphop",
-   ...    operation(mul, needs=["a", "b"], provides=["ab"]),
-   ...    operation(sub, needs=["a", "ab"], provides=["a-ab"]),
-   ...    operation(name="abspow1", needs=["a-ab"], provides=["|a-ab|³"])
+   ...    operation(mul, needs=["α", "β"], provides=["α×β"]),
+   ...    operation(sub, needs=["α", "α×β"], provides=["α-α×β"]),
+   ...    operation(name="abspow1", needs=["α-α×β"], provides=["|α-α×β|³"])
    ...    (partial(abspow, p=3))
    ... )
    >>> graphop
    Pipeline('graphop',
-                    needs=['a', 'b', 'ab', 'a-ab'],
-                    provides=['ab', 'a-ab', '|a-ab|³'],
+                    needs=['α', 'β', 'α×β', 'α-α×β'],
+                    provides=['α×β', 'α-α×β', '|α-α×β|³'],
                     x3 ops: mul, sub, abspow1)
 
 
 - Notice the use of :func:`functools.partial()` to set parameter ``p`` to a constant value.
-- And this is done by calling once more the returned "decorator* from :func:`operation()`,
-  when called without a functions.
+- And this is done by calling once more the returned "decorator" from :func:`operation()`,
+  when called without a function.
 
 The ``needs`` and ``provides`` arguments to the operations in this script define
 a computation graph that looks like this:

docs/source/pipelines.rst

@@ -25,9 +25,9 @@ The call here to ``compose()`` yields a runnable computation graph that looks li
 
     >>> # Compose the mul, sub, and abspow operations into a computation graph.
     >>> formula = compose("maths",
-    ...    operation(name="mul1", needs=["a", "b"], provides=["ab"])(mul),
-    ...    operation(name="sub1", needs=["a", "ab"], provides=["a-ab"])(sub),
-    ...    operation(name="abspow1", needs=["a-ab"], provides=["|a-ab|³"])
+    ...    operation(name="mul1", needs=["α", "β"], provides=["α×β"])(mul),
+    ...    operation(name="sub1", needs=["α", "α×β"], provides=["α-α×β"])(sub),
+    ...    operation(name="abspow1", needs=["α-α×β"], provides=["|α-α×β|³"])
     ...    (partial(abspow, p=3))
     ... )
 
@@ -49,9 +49,9 @@ with keys corresponding to the named :term:`dependencies <dependency>` (`needs`
 `provides`):
 
     >>> # Run the graph and request all of the outputs.
-    >>> out = formula(a=2, b=5)
+    >>> out = formula(α=2, β=5)
     >>> out
-    {'a': 2, 'b': 5, 'ab': 10, 'a-ab': -8, '|a-ab|³': 512}
+    {'α': 2, 'β': 5, 'α×β': 10, 'α-α×β': -8, '|α-α×β|³': 512}
 
 You may plot the solution:
 
@@ -66,11 +66,11 @@ the pipeline, to see which operations will be included in the :term:`graph`
 (assuming the graph is solvable at all), based on the given :term:`inputs`/:term:`outputs`
 combination:
 
-    >>> plan = formula.compile(inputs=['a', 'b'], outputs='a-ab')
+    >>> plan = formula.compile(inputs=['α', 'β'], outputs='α-α×β')
     >>> plan
-    ExecutionPlan(needs=['a', 'b'],
-                  provides=['a-ab'],
-                  x5 steps: mul1, b, sub1, a, ab)
+    ExecutionPlan(needs=['α', 'β'],
+                  provides=['α-α×β'],
+                  x5 steps: mul1, β, sub1, α, α×β)
     >>> plan.validate()  # all fine
 
 .. _pruned-explanations:
@@ -91,15 +91,15 @@ of execution:
 But if an impossible combination of `inputs` & `outputs`
 is asked, the plan comes out empty:
 
-    >>> plan = formula.compile(inputs='a', outputs="a-ab")
+    >>> plan = formula.compile(inputs='α', outputs="α-α×β")
     >>> plan
     ExecutionPlan(needs=[], provides=[], x0 steps: )
     >>> plan.validate()
     Traceback (most recent call last):
     ValueError: Unsolvable graph:
       +--Network(x8 nodes, x3 ops: mul1, sub1, abspow1)
-      +--possible inputs: ['a', 'b', 'ab', 'a-ab']
-      +--possible outputs: ['ab', 'a-ab', '|a-ab|³']
+      +--possible inputs: ['α', 'β', 'α×β', 'α-α×β']
+      +--possible outputs: ['α×β', 'α-α×β', '|α-α×β|³']
 
 Evictions: producing a subset of outputs
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -110,9 +110,9 @@ You can use the ``outputs`` parameter to request only a subset.
 For example, if ``formula`` is as above:
 
     >>> # Run the graph-operation and request a subset of the outputs.
-    >>> out = formula.compute({'a': 2, 'b': 5}, outputs="a-ab")
+    >>> out = formula.compute({'α': 2, 'β': 5}, outputs="α-α×β")
     >>> out
-    {'a-ab': -8}
+    {'α-α×β': -8}
 
 .. graphtik::
 
@@ -141,12 +141,12 @@ Short-circuiting a pipeline
 You can short-circuit a graph computation, making certain inputs unnecessary,
 by providing a value in the graph that is further downstream in the graph than those inputs.
 For example, in the graph-operation we've been working with, you could provide
-the value of ``a-ab`` to make the inputs ``a`` and ``b`` unnecessary:
+the value of ``α-α×β`` to make the inputs ``α`` and ``β`` unnecessary:
 
     >>> # Run the graph-operation and request a subset of the outputs.
-    >>> out = formula.compute({"a-ab": -8})
+    >>> out = formula.compute({"α-α×β": -8})
     >>> out
-    {'a-ab': -8, '|a-ab|³': 512}
+    {'α-α×β': -8, '|α-α×β|³': 512}
 
 .. graphtik::
 
@@ -172,22 +172,22 @@ unexpectedly, fail with ``Unsolvable graph`` error -- all :term:`dependencies <d
 have already values, therefore any operations producing them are :term:`prune`\d out,
 till no operation remains:
 
-    >>> new_inp = formula.compute({"a": 2, "b": 5})
-    >>> new_inp["a"] = 20
+    >>> new_inp = formula.compute({"α": 2, "β": 5})
+    >>> new_inp["α"] = 20
     >>> formula.compute(new_inp)
     Traceback (most recent call last):
     ValueError: Unsolvable graph:
     +--Network(x8 nodes, x3 ops: mul1, sub1, abspow1)
-    +--possible inputs: ['a', 'b', 'ab', 'a-ab']
-    +--possible outputs: ['ab', 'a-ab', '|a-ab|³']
+    +--possible inputs: ['α', 'β', 'α×β', 'α-α×β']
+    +--possible outputs: ['α×β', 'α-α×β', '|α-α×β|³']
 
 
 One way to proceed is to avoid recompiling, by executing directly the pre-compiled
 :term:`plan`, which will run all the original operations on the new values:
 
     >>> sol = new_inp.plan.execute(new_inp)
     >>> sol
-    {'a': 20, 'b': 5, 'ab': 100, 'a-ab': -80, '|a-ab|³': 512000}
+    {'α': 20, 'β': 5, 'α×β': 100, 'α-α×β': -80, '|α-α×β|³': 512000}
     >>> [op.name for op in sol.executed]
     ['mul1', 'sub1', 'abspow1']
 
@@ -198,17 +198,17 @@ One way to proceed is to avoid recompiling, by executing directly the pre-compil
 But that trick wouldn't work if the modified value is an inner dependency
 of the :term:`graph` -- in that case, the operations upstream would simply overwrite it:
 
-    >>> new_inp["a-ab"] = 123
+    >>> new_inp["α-α×β"] = 123
     >>> sol = new_inp.plan.execute(new_inp)
-    >>> sol["a-ab"]  # should have been 123!
+    >>> sol["α-α×β"]  # should have been 123!
     -80
 
 You can  still do that using the ``recompute_from`` argument of :meth:`.Pipeline.compute()`.
 It accepts a string/list of dependencies to :term:`recompute`, *downstream*:
 
-    >>> sol = formula.compute(new_inp, recompute_from="a-ab")
+    >>> sol = formula.compute(new_inp, recompute_from="α-α×β")
     >>> sol
-    {'a': 20, 'b': 5, 'ab': 10, 'a-ab': 123, '|a-ab|³': 1860867}
+    {'α': 20, 'β': 5, 'α×β': 10, 'α-α×β': 123, '|α-α×β|³': 1860867}
     >>> [op.name for op in sol.executed]
     ['abspow1']
 
@@ -218,7 +218,7 @@ The old values are retained, although the operations producing them
 have been pruned from the plan.
 
 .. Note::
-    The value of ``a-ab`` is no longer *the correct result* of ``sub1`` operation,
+    The value of ``α-α×β`` is no longer *the correct result* of ``sub1`` operation,
     above it (hover to see ``sub1`` inputs & output).
 
 

docs/source/plotting.rst

@@ -442,7 +442,7 @@ The following directive renders a diagram of its doctest code, beneath it:
       >>> from graphtik import compose, operation
       >>> addmul = compose(
       ...       "addmul",
-      ...       operation(name="add", needs="abc".split(), provides="ab")(lambda a, b, c: (a + b) * c)
+      ...       operation(name="add", needs="abc".split(), provides="(a+b)×c")(lambda a, b, c: (a + b) * c)
       ... )
 
 .. graphtik::
@@ -454,7 +454,7 @@ The following directive renders a diagram of its doctest code, beneath it:
 
    >>> addmul = compose(
    ...    "addmul",
-   ...    operation(name="add", needs="abc".split(), provides="ab")(lambda a, b, c: (a + b) * c)
+   ...    operation(name="add", needs="abc".split(), provides="(a+b)×c")(lambda a, b, c: (a + b) * c)
    ... )
 
 which you may :graphtik:`reference <addmul-operation>` with this syntax:
@@ -478,7 +478,7 @@ which you may :graphtik:`reference <addmul-operation>` with this syntax:
       >>> from graphtik import compose, operation
       >>> addmul = compose(
       ...       "addmul",
-      ...       operation(name="add", needs="abc".split(), provides="ab")(lambda a, b, c: (a + b) * c)
+      ...       operation(name="add", needs="abc".split(), provides="(a+b)×c")(lambda a, b, c: (a + b) * c)
       ... )
 
       .. graphtik::