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Remove deprecation warning ('cachedir' parameter has been deprecated)

See merge request pycodegen/pystencils!24

Warning was:

```
  /localhome/seitz_local/projects/pystencils/pystencils/cache.py:15: DeprecationWarning: The 'cachedir' parameter has been deprecated in
version 0.12 and will be removed in version 0.14.
  You provided "cachedir='/localhome/seitz_local/.cache/pystencils'", use "location='/localhome/seitz_local/.cache/pystencils'" instead.
    disk_cache = Memory(cachedir=cache_dir, verbose=False).cache
```

Make generate_c also work if astnode does not have member `instruction_set`

See merge request pycodegen/pystencils!25

Add RELEASE-VERSION to .gitignore

See merge request pycodegen/pystencils!21

implemented derivation of gradient weights via rotation

See merge request pycodegen/pystencils!15

Markus Holzer authored Aug 02, 2019 and Markus Holzer committed Aug 06, 2019

derive gradient weights of other direction with
already calculated weights of one direction
via rotation and apply them to a field.

as_matrix gives now a deprecated warning and as_array is no newly implemented to replace it. as_array works with MutableDenseNDimArray now instead of Matrix

`instruction_set`

Declare FieldShapeSymbol and FieldStrideSymbol as strictly positive

See merge request pycodegen/pystencils!16

Fix #10: Avoid jinja2 dependency

Closes #10

See merge request pycodegen/pystencils!18

This commit avoid dependency of core pystencils on jinja2.
However this could make the printing of some AST-nodes less elegant.

Remove floor, ceiling for integer symbols

See merge request pycodegen/pystencils!14

fix compiler options for macOS

See merge request pycodegen/pystencils!12

Stephan Seitz authored Jul 18, 2019 and Martin Bauer committed Jul 18, 2019

- rename header Field.h is not a unique name in waLBerla context
- add PyStencilsField.h
- bindings were lacking data type

functions like absolute values could not be used in CUDA backend since
known_functions was replaced instead of updated

Add CudaBackend, CudaSympyPrinter to extract CUDA-specific code from CBackend, CustomSympyPrinter
Cuda built-ins are added to CudaSympyPrinter.known_functions to use them as sympy.Function

# Conflicts:
#   pystencils/cpu/cpujit.py