Arlunio

0.9.3

^^^^^^^^^^^^^^^^^^^

Changed
"""""""

^ When adding layers the :code:LayeredImage now accepts the color as a
string automatically converting it to a :code:FillColor behind the scenes.

0.9.2

^^^^^^^^^^^^^^^^^^^

Changed
"""""""

^ Most commonly used objects have been imported into the top level namespace.
This means that it is now possible to write code like the following.

.. code^block:: python

import stylo as st

black = st.FillColor()
circle = st.Circle(fill=True)

image = st.SimpleImage(circle, black)

^ The way stylo has been packaged has been changed. It now comes with a couple
of "extras". Instead of requiring dependencies for everything, the default
installation now only contains the packages that are absolutely required to
run stylo.

The other dependencies have been split into a couple of extras

+ :code:testing: The dependencies required to import items from the
stylo.testing package.
+ :code:jupyer: Dependencies required to use stylo interactively in a
jupyter notebook.

0.9.1

^^^^^^^^^^^^^^^^^^^

There are no changes.

This release is a test to ensure that internal changes to how :code:stylo is
packaged and deployed are working correctly.

0.9.0

^^^^^^^^^^^^^^^^^^^

"""""

^ New :code:stylo.math module! Currently it contains a :code:lerp
function to do linear implementation between two values :code:a and
:code:b
^ New :code:stylo.design module! This is the start of the "next level" in
styo's API abstracting away from the lower level objects such as shapes and
colormaps.

^ This module adds the notion of a parameter group, this is a collection of
values that can be passed into functions as a single object using the
dictionary unpacking syntax (:code:**params)

Parameter groups are defined using the :code:define_parameter_group
function and taking a name and a comma separated string of parameter names.
There is also :code:define_time_dependent_parameter_group that can be
used to define a parameter group that depends on time.

Currently there are two pre^defined paramters groups, :code:Position and
:code:Trajectory. They both combine the :code:x and :code:y values
into a single object, with the second being the time dependent version of
the first.

Finally there are two built^in implementations of these parameter groups.
:code:StaticPosition and :code:ParametricPosition the first takes two
values and returns them. The second takes two functions in time and calls
them at each supplied time value.

0.8.0

^^^^^^^^^^^^^^^^^^^

"""""

^ New :code:Timeline system! This finally introduces explicit support for
animations to :code:stylo.

0.7.0

^^^^^^^^^^^^^^^^^^^

"""""

^ New :code:Line shape!
^ New :code:ImplicitXY shape! Draw any curve that is implicitly defined by a
function :math:f(x, y)

Changed
"""""""

^ The :code:Circle and :code:Ellipse shapes now take more arguments. By
default the shapes will now draw an outline rather than a filled in shape.

0.6.1

^^^^^^^^^^^^^^^^^^^

"""""

^ New :code:preview keyword argument to images, set this to :code:False if
you don't want a matplotlib figure returned.
^ New :code:encode keyword argument to images, setting this to :code:True
will return a base64 encoded string representation of the image in PNG format.

Fixed
"""""

^ Preview images are no longer displayed twice in jupyter notebooks
^ Preview images no longer display the x and y axis numbers.

0.6.0

^^^^^^^^^^^^^^^^^^^

"""""

**Users**

^ New :code:Triangle shape
^ Shapes can now be inverted using the :code:~ operator.

**Contributors**

^ Added new shape :code:InvertedShape which handles the inversion of a shape
behind the scenes.
^ Tests for all the composite shapes and operators.
^ More documentation on how to get involved

Changed
"""""""

**Users**

^ Shapes now have defined :code:__repr__ methods, including shapes that have
been combined, where a representation of a tree will be produced showing how
the various shapes have been combined together.
^ Preview images in Jupyter notebooks are now larger by default

This release of :code:stylo was brought to you thanks to contributions from
the following awesome people!

^ mvinoba <https://github.com/mvinoba>_

0.5.0

^^^^^^^^^^^^^^^^^^^

"""""

**Users**

^ New Image object :code:LayeredImage object that can now draw more
than one object
^ Added an introductory tutorial for first time users to the documentation
^ Functions from the :code:stylo.domain.transform package can now be applied
to shapes, meaning that most images can now be made without handling domains
directly.

**Contributors**

^ Added a :code:Drawable class, this allows a domain, shape and colormap to
be treated as a single entity.
^ Added a :code:render_drawable function that takes a drawable and some
existing image data and applies it to the data.
^ Added a :code:get_real_domain function that given a width, height and scale
returns a :code:RectangularDomain with appropriate aspect ratio,
:math:(0, 0) at the centre of the image and the scale corresponding to the
interval :math:[ymin, ymax]
^ We now make use of the :code:[scripts] section of  :code:Pipfile so
running common commands is now easier to remember

+ :code:pipenv run test: to run the test suite
+ :code:pipenv run lint: to lint the codebase
+ :code:pipenv run docs: to run a full build of the documentation
+ :code:pipenv run docs_fast: to run a less complete but faster build of
the documentation.

Changed
"""""""

**Users**

^ Altered :code:SimpleImage to no longer take a domain, reducing the
cognitive load on first time users. It now instead takes an optional
:code:scale variable to control the size of the domain underneath. This
also means that the domain now automatically matches the aspect ratio of the
image so no more distortion in non^square images.

**Contributors**

^ The tests now take advantage of multi^core machines and should now run much
faster
^ Building the docs now takes advantage of multi^core machines and should now
run much faster.

Fixed
"""""

**Contributors**

^ Fixed crashes in :code:exampledoc.py and :code:apidoc.py for first time
users
^ Fixed issue with :code:sed on a Mac for people running the
:code:devenv^setup.sh script

This release of :code:stylo was brought to you thanks to contributions from
the following awesome people!

^ mvinoba <https://github.com/mvinoba>_
^ LordTandy <https://github.com/LordTandy>_
^ StephanieAngharad <https://github.com/StephanieAngharad>_

0.4.2

^^^^^^^^^^^^^^^^^^^

"""""

^ :code:Image objects can now take a :code:size keyword argument to adjust
the size of the matplotlib preview plots

0.4.1

^^^^^^^^^^^^^^^^^^^

Fixed
"""""

^ Fixed an issue with :code:setup.py that meant most of the code wasn't
published to PyPi!

0.4.0

^^^^^^^^^^^^^^^^^^^

Out of the ashes of the previous version rises the biggest release to date!
Stylo has been rewritten from the ground up and should now be easier to use,
more modular and easier to extend!

None (or very little) of the original code remains and not everything has been
reimplemented yet so some of the features listed below may not be available in
this version. There is a lot more work to be done particularly in the tests and
docs departments however core functionality is now in place and it's been long
enough since the previous release.

I'm hoping that from now on releases will be smaller and more frequent as what
is now here is refined and tested to create a stable base from which Stylo can
be extended.

"""""

**Users**

One of the main ideas behind the latest incarnation of stylo is the idea of
interfaces borrowed from Java. Where you have an object such as :code:Shape
and all shapes have certain behaviors in common represented by methods on an
interface. Then there are a number of implementations that provide the details
specific to each shape.

In stylo this is modelled by having a number of abstract classes that define
the interfaces that represent different parts of the stylo image creation
process. Then regular classes inherit from these to provide the details.

With that in mind this release provides the following "interfaces".

^ New :code:RealDomain and :code:RealDomainTransform interfaces, these
model the mapping of a continuous mathematical domain
:math:D \subset \mathbb{R}^2 onto a discrete grid of pixels.

^ New :code:Shape interface this models the mapping of the grid of values
generated by a domain into a boolean numpy array representing which pixels
are a part of the shape.

^ New :code:ColorSpace system this currently doesn't do much but should allow
support for the use of different color representations. Current only 8^bit
RGB values are supported.

^ New :code:ColorMap interface, this represents the mapping of the boolean
numpy array generated by the :code:Shape interface into a numpy array
containing the color values that will be eventually interpreted as an image.

^ New :code:Image interface. Implementations of this interface will implement
common image creation workflows as well as providing a unified way to preview
and save images to a file.

With the main interfaces introduced here is a (very) brief introduction to each
of the implementations provided in this release

**RealDomain**

^ :code:RectangularDomain: Models a rectangular subset of the :mathxy^plane
:math:[a, b] \times [c, d] \subset \mathbb{R}^2
^ :code:SquareDomain: Similar to above but in the cases where :math:c = a
and :math:d = b
^ :code:UnitSquare: Similar to above but the case where :math:a = 0 and
:math:b = 1

**RealDomainTransform**

^ :code:HorizontalShear: Given a domain this applies a horizontal shear to it
^ :code:Rotation: Given a domain this rotates it by a given angle
^ :code:Translation: Given a domain this applies a translation to it
^ :code:VerticalShear: Given a domain this applies a vertical shear to it

**Shape**

^ :code:Square
^ :code:Rectangle
^ :code:Circle
^ :code:Ellipse

**ColorSpace**

^ :code:RGB8: 8^bit RGB valued colors

**ColorMap**

^ :code:FillColor: Given a background and a foreground color. Color all
:code:False pixels with the background color and color all the :code:True
pixels the foreground color.

**Image**

^ :code:SimpleImage: Currently the only image implementation, this implements
one of the simplest workflows that can result in an interesting image. Take
a :code:Domain, pass it to a :code:Shape and then apply a :code:ColorMap
to the result.

**Extenders/Contributors**

From the beginning this new attempt at :code:stylo has been designed with
extensibility in mind so included in the library are also a number of utilities
aimed to help you develop your own tools that integrate well with the rest of
stylo.

**Domains** and **DomainTransforms**

While :code:stylo only currently ships with :code:RealDomain and
:code:RealDomainTransform interfaces it is developed in a way to allow the
addition of new "families" of domain. If you want to create your own stylo
provides the following functions:

^ :code:define_domain: This will write your base domain class (like the
:code:RealDomain) just give it a name and a list of parameters.
^ :code:define_domain_transform: The will write the :code:DomainTransform
base class for you.

In addition to defining new families :code:stylo provides a few helper
classes to help you write your own domains and transforms for the existing
:code:RealDomain family

^ :code:PolarConversion: If your domain is only "interesting" in cartesian
coordinates this helper class will automatically write the conversion to
polar coordinates for you.
^ :code:CartesianConversion: If your domain is only "interesting" in polar
coordinates this helper class will automatically write the conversion to
cartesian coordinates for you.

**stylo.testing**

:code:stylo also comes with a testing package that provides a number of
utilities to help you ensure that any extensions you write will integrate well
with the rest of :code:stylo

^ :code:BaseRealDomainTest: This is a class that you can base your test case
on for any domains in the :code:RealDomain family to ensure that they
function as expected.
^ :code:define_domain_test: Similar to the :code:define_domain and
:code:define_domain_transform functions this defines a base test class to
ensure that domains in your new family work as expected.
^ :code:BaseShapeTest Basing your test case on this for any new shapes will
ensure that your shapes will function as expected by the rest of :code:stylo
^ :code:define_benchmarked_example: This is for those of you wishing to
contribute an example to the documentation, using this function with your
example code will ensure that your example is automatically included in the
documentation when it is next built.

**stylo.testing.strategies**

This module defines a number of hypothesis strategies for common data types in
:code:stylo. Using these (and hypothesis) in your test cases where possible
will ensure that your objects will work with the same kind of data as
:code:stylo itself.

Removed
"""""""

Everything mentioned below.

0.3.0

^^^^^^^^^^^^^^^^^^^^

"""""

^ New Domain class, it is responsible for generating the grids of numbers
passed to Drawables when they are mapped onto Images. It replaces most of the
old decorators.
^ Drawables are now classes! Any drawable is now a class that inherits from
Drawable, it brings back much of the old Puppet functionality with some
improvements.
^ More tests!

Changed
"""""""

^ ANDing Images (a & b) has been reimplemented so that it hopefully makes more
sense. The alpha value of b is used to scale the color values of a.
^ Along with the new Domain system mapping Drawables onto Images has been
reworked to hopefully make coordinate calculations faster

Removed
"""""""

^ stylo/coords.py has been deleted, this means the following functions and
decorators no longer exist
+ mk_domain ^ Domains are now a class
+ cartesian (now built into the new Domain object)
+ polar     (now built into the new Domain object)
+ extend_periocally (now the .repeat() method on the new Domain object)
+ translate (now the .transform() method on the new Domain object)
+ reflect (not yet implemented in the new system)

0.2.3

^^^^^^^^^^^^^^^^^^^

"""""

^ Image objects can now be added together, this is simply the sum of the color
values at each pixel
^ Image objects can now be subtracted, which is simply the difference of the
colour values at each pixel

Changed
"""""""

^ Renamed hex_to_rgb to hexcolor. It now also can cope with rgb and rgba
arguments, with the ability to promote rgb to rgba colors

0.2.2

^^^^^^^^^^^^^^^^^^^

"""""

^ Keyword argument 'only' to the 'polar' decorator which allows you to ignore
the x and y variables if you dont need them

Fixed
"""""

^ Forgot to expose the objects from interpolate.py to the top level stylo
import
^ Examples in the documentation and enabled doctests for them

0.2.1

^^^^^^^^^^^^^^^^^^^

Fixed
"""""
^ Stylo should now also work on python 3.5

Removed
"""""""
^ Deleted stylo/motion.py as its something better suited to a plugin
^ Deleted Pupptet, PuppetMaster and supporting functions as they are broken and
better to be rewritten from scratch

0.2.0

^^^^^^^^^^^^^^^^^^^

"""""

^ Sampler object which forms the basis of the new Driver implementations
^ Channel object which can manage many Sampler^like objects to form a
single 'track' of animation data
^ A very simple Driver object which allows you to collect multiple Channel
objects into a single place

**Docs**

^ Added the following reference pages
+ Image
+ Drawable
+ Primitive
+ Sampler
^ A How^To section
^ How^To invert the colours of an Image

Changed
"""""""
^ Image.__and__() now uses a new method which produces better results with
colour images

Fixed
"""""
^ Numpy shape error in Image.__neg__()

Removed
"""""""
^ stylo.prims.thicken was redundant so it has been removed

0.1.0

^^^^^^^^^^^^^^^^^^^

Initial Release

0.0.1

-------------------

- Stylo has been renamed to Arlunio, resetting the version number
- Initial release to secure the name, more to follow

Archive
-------

These previous releases are no longer relevant to the project, but have been
left in for historical interest