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  • v0.5 protected
    v0.5
    ----
    
    2022-10-22
    
    This is the last version with python 2 support. Changes in setuptools (see for example python [PEP 517](https://peps.python.org/pep-0517/) and [PEP 660](https://peps.python.org/pep-0660/) ) require changes in the setup. Backward compatibility will therefore be dropped. Current tests already do not inlcude python2 anymore.
    
    **Highlights**
    
    * Parallelized implementation of `Field.map_coordinates`
    * Added support for reading files written by the fbpic v0.13.0 code ( https://github.com/fbpic ). The fields can be accessed by `Er` and `Etheta`, which have been introduced to the fbpic data reader. Particles are saved in Cartesian coordinates, hence the interface does not change there.
    * Reimplementation of `Field.fft`, see below.
    
    **Incompatible adjustments to previous version**
    
    * Reimplementation of `Field.fft`. This changes the phases of Fourier transforms in a way to make it more consistent. However, if your code depends on the phases, `Field.fft()` now has a parameter `old_behaviour` that can be used to switch back to the old behaviour.
    * Indexing a field by a number (integer or float) will now remove the according axis altogether, instead of leaving behind a length-1 axis.
    A new class `KeepDim` was introduced through which the old behaviour can still be used.
    Behaviour of PostPic before this change:
    ```
    field.shape == (x,y,z)
    field[:, 0.0, :].shape == (x,1,z)
    ```
    Using the new class `KeepDim`, it is possible to retain that behaviour in the new version:
    ```
    field.shape == (x,y,z)
    field[:, 0.0, :].shape == (x, z)
    field[:, KeepDim(0.0), :].shape == (x,1,z)
    ```
    
    **Other improvements and new features**
    
    * New convenience method `Field.copy`
  • v0.4 protected
    **Highlights**
    * Improved interoperability with numpy:
      * `Field` now understands most of numpy's broadcasting
      * `Field` can be used as an argument to numpy's ufuncs.
    * Import and export routines for `Field` incuding vtk, compatible with [paraview](https://www.paraview.org/).
    * Coordinate mapping and transform for `Field`.
    * Brand new `Multispecies.__call__` interface: This takes an expression, which is evaluated by `numexr`, increasing the speed of per-particle scalar computations strongly. It's also really user-friendly.
    
    **Incompatible adjustments to previous version**
    * `postpic.Field` method `exporttocsv` is removed. Use `export` instead.
    * `postpic.Field` method `transform` is renamed to `map_coordinates`, matching the underlying scipy-function.
    * `postpic.Field` method `mean` has now an interface matching `ndarray.mean`. This means that, if the `axis` argument is not given, it averages across all axes instead the last axis.
    * `postpic.Field.map_coordinates` applies now the Jacobian determinant of the transformation, in order to preserve the definite integral.
    In your code you will need to turn calls to `Field.transform` into calls to `Field.map_coordinates` and set the keyword argument `preserve_integral=False` to get the old behaviour.
    * `postpic.MultiSpecies.createField` has now keyword arguments (`bins`, `shape`), which replace the corresponding entries from the `optargsh` dictionary. The use of the`optargsh` keyword argument has been deprecated.
    * The functions `MultiSpecies.compress`, `MultiSpecies.filter`, `MultiSpecies.uncompress` and `ParticleHistory.skip` return a new object now. Before this release, they modified the current object. Assuming  `ms` is a `MultiSpecies` object, the corresponding adjustemens read:<br>
    old: `ms.filter('gamma > 2')`<br>
    new: `ms = ms.filter('gamma > 2')`
    * `plotter_matplotlib` has a new default symmetric colormap
    
    **Other improvements and new features**
    * Overload of the `~` (invert) operator on `postpic.MultiSpecies`. If `ms` is a MultiSpecies object with filtered particles (created by the use of `compress` or `filter`), then `~ms` inverts the selection of particles.
    * `postpic.Field` has methods `.loadfrom` and `.saveto`. These can be used to save a Field to a ` .npz` file for later use. Use `.loadfrom` to load a Field object from such a file. All attributes of the Field are restored.
    * `postpic.Field` has methods `.export` and `.import`. These are used to export fields to and import fields from foreign file formats such as `.csv`, `.vtk`, `.png`, `.tif`, `.jpg`. It is not guaranteed to get all attributes back after `.export`ing and than `.import`ing a Field. Some formats are not available for both methods.
    * `postpic` has a new function `time_profile_at_plane` that 'measures' the temporal profile of a pulse while passing through a plane
    * `postpic` has a new function `unstagger_fields` that will take a set of staggered fields and returns the fields after removing the stagger
    * `postpic` has a new function `export_vector_vtk` that takes up to three fields and exports them as a vector field in the `.vtk` format
    * `postpic` has a new function `export_scalars_vtk` that takes up to four fields and exports them as multiple scalar fields on the same grid in the `.vtk` format
    * `postpic.Field` works now with all numpy ufuncs, also with `ufunc.reduce`, `ufunc.outer`, `ufunc.accumulate` and `ufunc.at`
    * `postpic.Field` now supports broadcasting like numpy arrays, for binary operators as well as binary ufunc operations
    * `postpic.Field` has methods `.swapaxes`, `.transpose` and properties `.T` and `ndim` compatible to numpy.ndarray
    * `postpic.Field` has methods `all`, `any`, `max`, `min`, `prod`, `sum`, `ptp`, `std`, `var`, `mean`, `clip` compatible to numpy.ndarray
    * `postpic.Field` has a new method `map_axis_grid` for transforming the coordinates only along one axis which is simpler than `map_coordinates`, but also takes care of the Jacobian
    * `postpic.Field` has a new method `autocutout` used to slice away close-to-zero regions from the borders
    * `postpic.Field` has a new method `fft_autopad` used to pad a small number of grid points to each axis such that the dimensions of the Field are favourable to FFTW
    * `postpic.Field` has a new method `adjust_stagger_to` to adjust the grid origin to match the grid origin of another field
    * `postpic.Field` has a new method `phase` to get the unwrapped phase of the field
    * `postpic.Field` has a new method `derivative` to calculate the derivative of a field
    * `postpic.Field` has new methods `flip` and `rot90` similar to `np.flip()` and `np.rot90()`
    * `postpic.Field.topolar` has new defaults for extent and shape
    * `postpic.Field.integrate` now uses the simpson method by default
    * `postpic.Field.integrate` now has a new 'fast' method that uses numexpr, suitable for large datasets
    * New module `postpic.experimental` to contain experimental algorithms for your reference. These algorithms are not meant to be useable as-is, but may serve as recipes to write your own algorithms.
    * k-space reconstruction from EPOCH dumps has greatly improved accuracy due to a new algorithm correctly incorporating the frequency response of the implicit linear interpolation performed by EPOCH's half-steps
    * `plotter_matplotlib.plotField` allows to override `aspect` option to `imshow`
  • v0.3.1 protected
    v0.3.1
    
    beta status
  • v0.3 protected
    v0.3.0
  • v0.2.3 protected
    75ff032e · bump to v0.2.3 ·
    v0.2.3
  • v0.2.2 protected
    01ea6929 · bump to v0.2.2 ·
    postpic v0.2.2
  • v0.2.0 protected
    02c154a1 · bump to v0.2.0 ·
    postpic v0.2.0 release.
    
    CHANGELOG:
    * add support for OpenPMD
    * remove simdimensions property from dumpreader
    * EPOCH reader can now read charge and mass of particles
    * python3 support
    * multiple grids are supported
  • v0.1.2 protected
    4f82de6d · bump to v0.1.2 ·
    postpic v0.1.2 release
  • v0.1.1 protected
    8d5d06cc · bump to v0.1.1 ·
  • v0.1.0 protected
  • v0.0.1 protected
    cc8c8581 · bump to v0.0.1 ·
    First release of postpic