.flake8

+[flake8]
+max-line-length=120
+exclude=src/pystencils/jupyter.py,
+        src/pystencils/plot.py
+        src/pystencils/session.py
+ignore = W293 W503 W291 C901 E741

.gitattributes

+src/pystencils/_version.py export-subst

.gitignore

+__pycache__
+.ipynb_checkpoints
+.coverage*
+*.pyc
+*.vti
+/build
+/dist
+*.egg-info
+.cache
+_build
+/html_doc
+/.idea
+.vscode
+.cache
+_local_tmp
+RELEASE-VERSION
+test-report
+src/pystencils/boundaries/createindexlistcython.c
+src/pystencils/boundaries/createindexlistcython.*.so
+tests/tmp
+tests/var
+tests/kerncraft_inputs/.2d-5pt.c_kerncraft/
+tests/kerncraft_inputs/.3d-7pt.c_kerncraft/
+report.xml
+coverage_report/
+
+
+# macOS
+**/.DS_Store
+*.uuid

.gitlab-ci.yml

+stages:
+  - pretest
+  - test
+  - nightly
+  - docs
+  - deploy
+
+
+# --------------------------  Templates ------------------------------------------------------------------------------------
+
+# Base configuration for jobs meant to run at every commit
+.every-commit:
+  rules:
+    - if: $CI_PIPELINE_SOURCE != "schedule"
+
+# Configuration for jobs meant to run on each commit to pycodegen/pystencils/master
+.every-commit-master:
+  rules:
+    - if: '$CI_PIPELINE_SOURCE != "schedule" && $CI_PROJECT_PATH == "pycodegen/pystencils" && $CI_COMMIT_BRANCH == "master"'
+
+# Base configuration for jobs meant to run at a schedule
+.scheduled:
+  rules:
+    - if: $CI_PIPELINE_SOURCE == "schedule"
+
+# --------------------------  Tests ------------------------------------------------------------------------------------
+
+# Normal test - runs on every commit all but "long run" tests
+tests-and-coverage:
+  stage: pretest
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/full:cupy12.3
+  before_script:
+    - pip install -e .
+  script:
+    - env
+    - pip list
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - mkdir public
+    - pytest -v -n $NUM_CORES --cov-report html --cov-report xml --cov-report term --cov=. -m "not longrun" --html test-report/index.html --junitxml=report.xml
+    - python -m coverage xml
+  tags:
+    - docker
+    - cuda11
+    - AVX
+  coverage: /Total coverage:\s\d+.\d+\%/
+  artifacts:
+    when: always
+    paths:
+      - coverage_report
+      - test-report
+    reports:
+      coverage_report:
+        coverage_format: cobertura
+        path: coverage.xml
+      junit: report.xml
+
+# Normal test with longruns
+tests-and-coverage-with-longrun:
+  stage: test
+  when: manual
+  allow_failure: true
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/full:cupy12.3
+  before_script:
+    - pip install sympy --upgrade
+    - pip install -e .
+  script:
+    - env
+    - pip list
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - mkdir public
+    - py.test -v -n $NUM_CORES
+  tags:
+    - docker
+    - cuda11
+    - AVX
+
+# pipeline with latest python version
+latest-python:
+  stage: test
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/latest_python
+  before_script:
+    - pip install -e .
+  script:
+    - env
+    - pip list
+    - pip install -e .
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - mkdir public
+    - py.test -v -n $NUM_CORES -m "not longrun" --junitxml=report.xml
+  tags:
+    - docker
+    - AVX
+  artifacts:
+    when: always
+    reports:
+      junit: report.xml
+
+
+# Minimal tests in windows environment
+#minimal-windows:
+#  stage: test
+#  tags:
+#    - win
+#  script:
+#    - export NUM_CORES=$(nproc --all)
+#    - source /cygdrive/c/Users/build/Miniconda3/Scripts/activate
+#    - source activate pystencils
+#    - pip install joblib
+#    - pip list
+#    - python -c "import numpy"
+#    - py.test -v -m "not (notebook or longrun)"
+
+ubuntu:
+  stage: test
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/ubuntu
+  before_script:
+    - ln -s /usr/include/locale.h /usr/include/xlocale.h
+    - pip3 install -e .
+  script:
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - sed -i 's/--doctest-modules //g' pytest.ini
+    - env
+    - pip list
+    - pytest -v -n $NUM_CORES -m "not longrun" --junitxml=report.xml
+  tags:
+    - docker
+    - cuda11
+    - AVX
+  artifacts:
+    when: always
+    reports:
+      junit: report.xml
+
+.multiarch_template:
+  stage: test
+  extends: .every-commit
+  allow_failure: true
+  before_script: &multiarch_before_script
+    # - pip3 install -v .
+    - export PYTHONPATH=src
+    - python3 -c "import pystencils as ps; ps.cpu.cpujit.read_config()"
+    - sed -i '/^fail_under.*/d' pytest.ini
+  script:
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - sed -i 's/--doctest-modules //g' pytest.ini
+    - env
+    - pip3 list
+    - python3 -m pytest -v -n $NUM_CORES --cov-report html --cov-report xml --cov=. --junitxml=report.xml tests/test_*vec*.py tests/test_random.py tests/test_half_precision.py
+    - python3 -m coverage xml
+  tags:
+    - docker
+    - AVX
+  artifacts:
+    when: always
+    paths:
+      - coverage_report
+    reports:
+      coverage_report:
+        coverage_format: cobertura
+        path: coverage.xml
+      junit: report.xml
+
+arm64v8:
+  extends: .multiarch_template
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/arm64
+  variables:
+    QEMU_CPU: "cortex-a76"
+  before_script:
+    - *multiarch_before_script
+    - sed -i s/march=native/march=armv8-a/g ~/.config/pystencils/config.json
+
+ppc64le:
+  extends: .multiarch_template
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/ppc64le
+  before_script:
+    - *multiarch_before_script
+    - sed -i s/mcpu=native/mcpu=power8/g ~/.config/pystencils/config.json
+
+arm64v9:
+  # SVE support is still unreliable in GCC 11 (incorrect code for fixed-width vectors, internal compiler errors).
+  # For half precision Clang is necessary
+  extends: .multiarch_template
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/arm64
+  before_script:
+    - *multiarch_before_script
+    - sed -i s/march=native/march=armv9-a+sve2+sme/g ~/.config/pystencils/config.json
+    - sed -i s/g\+\+/clang++/g ~/.config/pystencils/config.json
+
+riscv64:
+  # RISC-V vector extension are currently not supported by GCC.
+  extends: .multiarch_template
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/riscv64
+  variables:
+    # explicitly set SIMD as detection requires QEMU >= 8.1
+    PYSTENCILS_SIMD: "rvv"
+    QEMU_CPU: "rv64,v=true,zicboz=true"
+  before_script:
+    - *multiarch_before_script
+    - sed -i 's/march=native/march=rv64imfdvzicboz/g' ~/.config/pystencils/config.json
+    - sed -i s/g\+\+/clang++-15/g ~/.config/pystencils/config.json
+
+minimal-conda:
+  stage: pretest
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/minimal_conda
+  before_script:
+    - pip install -e .
+  script:
+    - python quicktest.py
+  tags:
+    - docker
+    - cuda
+
+
+minimal-sympy-master:
+  stage: test
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/minimal_conda
+  before_script:
+    - pip install -e .
+  script:
+    - python -m pip install --upgrade git+https://github.com/sympy/sympy.git
+    - python quicktest.py
+  allow_failure: true
+  tags:
+    - docker
+    - cuda
+
+
+pycodegen-integration:
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/full
+  stage: test
+  when: manual
+  allow_failure: true
+  script:
+    - git clone https://gitlab-ci-token:${CI_JOB_TOKEN}@i10git.cs.fau.de/pycodegen/pycodegen.git
+    - cd pycodegen
+    - git submodule sync --recursive
+    - git submodule update --init --recursive
+    - git submodule foreach git fetch origin   # compare the latest master version!
+    - git submodule foreach git reset --hard origin/master
+    - cd pystencils
+    - git remote add test $CI_REPOSITORY_URL
+    - git fetch test
+    - git reset --hard $CI_COMMIT_SHA
+    - cd ..
+    - pip install -e pystencils/
+    - pip install -e lbmpy/
+    - cmake --version
+    - ./install_walberla.sh
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - cd pystencils
+    - py.test -v -n $NUM_CORES --junitxml=report.xml .
+    - cd ../lbmpy
+    - py.test -v -n $NUM_CORES --junitxml=report.xml .
+    - cd ../walberla/build/
+    - make -j $NUM_CORES CodegenJacobiCPU CodegenJacobiGPU CodegenPoissonCPU CodegenPoissonGPU MicroBenchmarkGpuLbm LbCodeGenerationExample
+    - make -j $NUM_CORES multiphaseCPU multiphaseGPU FluctuatingMRT FlowAroundSphereCodeGen FieldLayoutAndVectorizationTest GeneratedOutflowBC
+    - cd apps/benchmarks/UniformGridGPU
+    - make -j $NUM_CORES
+    - cd ../UniformGridCPU
+    - make -j $NUM_CORES
+  tags:
+    - docker
+    - cuda11
+    - AVX
+  artifacts:
+    when: always
+    reports:
+      junit: pycodegen/*/report.xml
+
+
+# -------------------- Scheduled Tasks --------------------------------------------------------------------------
+
+
+# Nightly test against the latest (pre-release) version of SymPy published on PyPI
+nightly-sympy:
+  stage: nightly
+  needs: []
+  extends: .scheduled
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/latest_python
+  before_script:
+    - pip install -e .
+    - pip install --upgrade --pre sympy
+  script:
+    - env
+    - pip list
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - mkdir public
+    - pytest -v -n $NUM_CORES -m "not longrun" --junitxml=report.xml
+  tags:
+    - docker
+    - AVX
+    - cuda
+  artifacts:
+    when: always
+    reports:
+      junit: report.xml
+
+# -------------------- Linter & Documentation --------------------------------------------------------------------------
+
+
+flake8-lint:
+  stage: pretest
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/full
+  script:
+    - flake8 src/pystencils
+  tags:
+    - docker
+
+
+build-documentation:
+  stage: docs
+  extends: .every-commit
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/documentation
+  needs: []
+  before_script:
+    - pip install -e .
+  script:
+    - mkdir html_doc
+    - sphinx-build -b html doc  html_doc
+    - sphinx-build -W -b html doc  html_doc
+  tags:
+    - docker
+  artifacts:
+    paths:
+      - html_doc
+
+
+pages:
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/full
+  extends: .every-commit-master
+  stage: deploy
+  needs: ["tests-and-coverage", "build-documentation"]
+  script:
+    - ls -l
+    - mv coverage_report html_doc
+    - mv html_doc public  # folder has to be named "public" for gitlab to publish it
+  artifacts:
+    paths:
+      - public
+  tags:
+    - docker

.isort.cfg

+[settings]
+line_length=100
+balanced_wrapping=True
+multi_line_output=4
+known_third_party=sympy

AUTHORS.txt

+
+Contributors:
+-------------
+
+  - Martin Bauer <martin.bauer@fau.de>
+  - Markus Holzer <markus.holzer@fau.de>
+  - Stephan Seitz <stephan.seitz@fau.de>
+  - Michael Kuron <mkuron@icp.uni-stuttgart.de>
+  - Jan Hönig <jan.hoenig@fau.de>
+  - Julian Hammer <julian.hammer@fau.de>
+  - Nils Kohl <nils.kohl@fau.de>
+  - Frederik Hennig <frederik.hennig@fau.de>
+  - Dominik Ernst <dominik.ernst@fau.de>
+  - Christian Godenschwager <christian.godenschwager@fau.de>
+  - Dominik Thoennes <dominik.thoennes@fau.de>

CHANGELOG.md

+# Change Log
+
+## Unreleased
+
+### Removed
+* LLVM backend because it was not used much and not good integrated in pystencils.
+* OpenCL backend because it was not used much and not good integrated in pystencils.

CONTRIBUTING.md

+# Contributing
+
+Contributions to pystencils are always welcome, and they are greatly appreciated!
+A list of open problems can be found [here]( https://i10git.cs.fau.de/pycodegen/pystencils/-/issues).
+Of course, it is also always appreciated to bring own ideas and problems to the community!
+
+
+Please submit all contributions to the official [GitLab repository](https://i10git.cs.fau.de/pycodegen/pystencils) in the form of a Merge Request. Please do not submit git diffs or files containing the changes.
+There also exists a GitHub repository, which is only a mirror to the GitLab repository. Contributions to the GitHub repository are not considered.
+
+`pystencils` is an open-source python package under the license of  AGPL3. Thus we consider the act of contributing to the code by submitting a Merge Request as the "Sign off" or agreement to the AGPL3 license.
+
+You can contribute in many different ways:
+
+## Types of Contributions
+
+### Report Bugs
+
+Report bugs at [https://i10git.cs.fau.de/pycodegen/pystencils/-/issues](https://i10git.cs.fau.de/pycodegen/pystencils/-/issues).
+
+For pystencils, it is often necessary to provide the python and [SymPy](https://www.sympy.org/en/index.html) versions used and hardware information like the
+processor architecture and the compiler version used to compile the generated kernels.
+
+### Fix Issues
+
+Look through the GitLab issues. Different tags are indicating the status of the issues.
+The "bug" tag indicates problems with pystencils, while the "feature" tag shows ideas that should be added in the future.
+
+### Write Documentation
+
+The documentation of pystencils can be found [here](https://pycodegen.pages.i10git.cs.fau.de/pystencils/). Jupyter notebooks are used to provide an
+interactive start to pystencils. It is always appreciated if new document notebooks are provided
+since this helps others a lot.
+
+## Get Started!
+
+Ready to contribute? Here is how to set up `pystencils` for local development.
+
+1. Fork the `pystencils` repo on GitLab.
+2. Clone your fork locally:
+```bash
+    $ git clone https://i10git.cs.fau.de/your-name/pystencils
+```
+3. Install your local copy into a virtualenv. It is also recommended to use anaconda or miniconda to manage the python environments.
+```bash
+    $ mkvirtualenv pystencils
+    $ cd pystencils/
+    $ pip install -e .
+```
+4. Create a branch for local development:
+```bash
+    $ git checkout -b name-of-your-bugfix-or-feature
+```
+   Now you can make your changes locally.
+
+5. When you're done making changes, check that your changes pass flake8 and the
+   tests
+```bash
+    $ flake8 pystencils
+    $ py.test -v -n $NUM_CORES -m "not longrun" .
+   
+```
+
+   To get all packages needed for development, a requirements list can be found [here](https://i10git.cs.fau.de/pycodegen/pycodegen/-/blob/master/conda_environment_dev.yml). This includes flake8 and pytest.
+
+6. Commit your changes and push your branch to GitHub::
+```bash
+    $ git add .
+    $ git commit -m "Your detailed description of your changes."
+    $ git push origin name-of-your-bugfix-or-feature
+```
+7. Submit a Merge Request on GitLab.
+
+## Merge Request Guidelines
+
+Before you submit a Merge Request, check that it meets these guidelines:
+
+1. All functionality that is implemented through this Merge Request should be covered by unit tests. These are implemented in `pystencil_tests`
+2. If the Merge Request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring.
+3. If you have a maintainer status for `pystencils`, you can merge Merge Requests to the master branch. However, every Merge Request needs to be reviewed by another developer. Thus it is not allowed to merge a Merge Request, which is submitted by oneself.
+
+## Tips
+
+To run a subset of tests:
+```bash
+$ py.test my_test.py
+```
\ No newline at end of file

MANIFEST.in

+include AUTHORS.txt
+include CONTRIBUTING.md
+include CHANGELOG.md

README.md

+pystencils
+==========
+
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mabau/pystencils/master?filepath=doc%2Fnotebooks)
+[![Docs](https://img.shields.io/badge/read-the_docs-brightgreen.svg)](https://pycodegen.pages.i10git.cs.fau.de/pystencils)
+[![pypi-package](https://badge.fury.io/py/pystencils.svg)](https://badge.fury.io/py/pystencils)
+[![pipeline status](https://i10git.cs.fau.de/pycodegen/pystencils/badges/master/pipeline.svg)](https://i10git.cs.fau.de/pycodegen/pystencils/commits/master)
+[![coverage report](https://i10git.cs.fau.de/pycodegen/pystencils/badges/master/coverage.svg)](http://pycodegen.pages.i10git.cs.fau.de/pystencils/coverage_report)
+
+Run blazingly fast stencil codes on numpy arrays.
+
+*pystencils* uses sympy to define stencil operations, that can be executed on numpy arrays.
+Exploiting the stencil structure makes *pystencils* run faster than normal numpy code and even as Cython and numba,
+[as demonstrated in this notebook](https://pycodegen.pages.i10git.cs.fau.de/pystencils/notebooks/demo_benchmark.html).
+
+
+Here is a code snippet that computes the average of neighboring cells:
+```python
+import pystencils as ps
+import numpy as np
+
+f, g = ps.fields("f, g : [2D]")
+stencil = ps.Assignment(g[0, 0],
+                       (f[1, 0] + f[-1, 0] + f[0, 1] + f[0, -1]) / 4)
+kernel = ps.create_kernel(stencil).compile()
+
+f_arr = np.random.rand(1000, 1000)
+g_arr = np.empty_like(f_arr)
+kernel(f=f_arr, g=g_arr)
+```
+
+*pystencils* is mostly used for numerical simulations using finite difference or finite volume methods.
+It comes with automatic finite difference discretization for PDEs:
+
+```python
+import pystencils as ps
+import sympy as sp
+
+c, v = ps.fields("c, v(2): [2D]")
+adv_diff_pde = ps.fd.transient(c) - ps.fd.diffusion(c, sp.symbols("D")) + ps.fd.advection(c, v)
+discretize = ps.fd.Discretization2ndOrder(dx=1, dt=0.01)
+discretization = discretize(adv_diff_pde)
+```
+
+Installation
+------------
+
+```bash
+pip install pystencils[interactive]
+```
+
+Without `[interactive]` you get a minimal version with very little dependencies.
+
+All options:
+- `gpu`: use this if an NVIDIA or AMD GPU is available and CUDA or ROCm is installed
+- `alltrafos`: pulls in additional dependencies for loop simplification e.g. libisl
+- `bench_db`: functionality to store benchmark result in object databases
+- `interactive`: installs dependencies to work in Jupyter including image I/O, plotting etc.
+- `doc`: packages to build documentation
+
+Options can be combined e.g.
+```bash
+pip install pystencils[interactive, gpu, doc]
+```
+
+pystencils is also fully compatible with Windows machines. If working with visual studio and cupy makes sure to run example files first to ensure that cupy can find the compiler's executable.
+
+Documentation
+-------------
+
+Read the docs [here](https://pycodegen.pages.i10git.cs.fau.de/pystencils) and
+check out the Jupyter notebooks in `doc/notebooks`. The **Changelog** of pystencils can be found [here](https://i10git.cs.fau.de/pycodegen/pystencils/-/blob/master/CHANGELOG.md).
+
+Authors
+-------
+
+Many thanks go to the [contributors](https://i10git.cs.fau.de/pycodegen/pystencils/-/blob/master/AUTHORS.txt) of pystencils.
+
+### Please cite us
+
+If you use pystencils in a publication, please cite the following articles:
+
+Overview:
+  - M. Bauer et al, Code Generation for Massively Parallel Phase-Field Simulations. Association for Computing Machinery, 2019. https://doi.org/10.1145/3295500.3356186
+
+Performance Modelling:
+  - D. Ernst et al, Analytical performance estimation during code generation on modern GPUs. Journal of Parallel and Distributed Computing, 2023. https://doi.org/10.1016/j.jpdc.2022.11.003

__init__.py

-from pystencils.field import Field, extractCommonSubexpressions
-from pystencils.types import TypedSymbol
-from pystencils.slicing import makeSlice

ast.py

-import sympy as sp
-import textwrap as textwrap
-from sympy.tensor import IndexedBase, Indexed
-from pystencils.field import Field
-from pystencils.types import TypedSymbol
-
-
-class Node(object):
-    """Base class for all AST nodes"""
-
-    def __init__(self, parent=None):
-        self.parent = parent
-
-    def args(self):
-        """Returns all arguments/children of this node"""
-        return []
-
-    @property
-    def symbolsDefined(self):
-        """Set of symbols which are defined by this node. """
-        return set()
-
-    @property
-    def undefinedSymbols(self):
-        """Symbols which are use but are not defined inside this node"""
-        raise NotImplementedError()
-
-    def atoms(self, argType):
-        """
-        Returns a set of all children which are an instance of the given argType
-        """
-        result = set()
-        for arg in self.args:
-            if isinstance(arg, argType):
-                result.add(arg)
-            result.update(arg.atoms(argType))
-        return result
-
-    def children(self):
-        yield None
-
-
-class KernelFunction(Node):
-
-    class Argument:
-        def __init__(self, name, dtype):
-            self.name = name
-            self.dtype = dtype  # TODO ordentliche Klasse
-            self.isFieldPtrArgument = False
-            self.isFieldShapeArgument = False
-            self.isFieldStrideArgument = False
-            self.isFieldArgument = False
-            self.fieldName = ""
-            self.coordinate = None
-
-            if name.startswith(Field.DATA_PREFIX):
-                self.isFieldPtrArgument = True
-                self.isFieldArgument = True
-                self.fieldName = name[len(Field.DATA_PREFIX):]
-            elif name.startswith(Field.SHAPE_PREFIX):
-                self.isFieldShapeArgument = True
-                self.isFieldArgument = True
-                self.fieldName = name[len(Field.SHAPE_PREFIX):]
-            elif name.startswith(Field.STRIDE_PREFIX):
-                self.isFieldStrideArgument = True
-                self.isFieldArgument = True
-                self.fieldName = name[len(Field.STRIDE_PREFIX):]
-
-        def __repr__(self):
-            return '<{0} {1}>'.format(self.dtype, self.name)
-
-    def __init__(self, body, fieldsAccessed, functionName="kernel"):
-        super(KernelFunction, self).__init__()
-        self._body = body
-        body.parent = self
-        self._parameters = None
-        self.functionName = functionName
-        self._body.parent = self
-        self._fieldsAccessed = fieldsAccessed
-        # these variables are assumed to be global, so no automatic parameter is generated for them
-        self.globalVariables = set()
-
-    @property
-    def symbolsDefined(self):
-        return set()
-
-    @property
-    def undefinedSymbols(self):
-        return set()
-
-    @property
-    def parameters(self):
-        self._updateParameters()
-        return self._parameters
-
-    @property
-    def body(self):
-        return self._body
-
-    @property
-    def args(self):
-        return [self._body]
-
-    @property
-    def fieldsAccessed(self):
-        """Set of Field instances: fields which are accessed inside this kernel function"""
-        return self._fieldsAccessed
-
-    def _updateParameters(self):
-        undefinedSymbols = self._body.undefinedSymbols - self.globalVariables
-        self._parameters = [KernelFunction.Argument(s.name, s.dtype) for s in undefinedSymbols]
-        self._parameters.sort(key=lambda l: (l.fieldName, l.isFieldPtrArgument, l.isFieldShapeArgument,
-                                             l.isFieldStrideArgument, l.name),
-                              reverse=True)
-
-    def children(self):
-        yield self.body
-
-    def __str__(self):
-        self._updateParameters()
-        return '{0} {1}({2})\n{3}'.format(type(self).__name__, self.functionName, self.parameters,
-                                          textwrap.indent(str(self.body), '\t'))
-
-    def __repr__(self):
-        self._updateParameters()
-        return '{0} {1}({2})'.format(type(self).__name__, self.functionName, self.parameters)
-
-
-class Block(Node):
-    def __init__(self, listOfNodes):
-        super(Node, self).__init__()
-        self._nodes = listOfNodes
-        for n in self._nodes:
-            n.parent = self
-
-    @property
-    def args(self):
-        return self._nodes
-
-    def insertFront(self, node):
-        node.parent = self
-        self._nodes.insert(0, node)
-
-    def insertBefore(self, newNode, insertBefore):
-        newNode.parent = self
-        idx = self._nodes.index(insertBefore)
-        self._nodes.insert(idx, newNode)
-
-    def append(self, node):
-        node.parent = self
-        self._nodes.append(node)
-
-    def takeChildNodes(self):
-        tmp = self._nodes
-        self._nodes = []
-        return tmp
-
-    def replace(self, child, replacements):
-        idx = self._nodes.index(child)
-        del self._nodes[idx]
-        if type(replacements) is list:
-            for e in replacements:
-                e.parent = self
-            self._nodes = self._nodes[:idx] + replacements + self._nodes[idx:]
-        else:
-            replacements.parent = self
-            self._nodes.insert(idx, replacements)
-
-    @property
-    def symbolsDefined(self):
-        result = set()
-        for a in self.args:
-            result.update(a.symbolsDefined)
-        return result
-
-    @property
-    def undefinedSymbols(self):
-        result = set()
-        definedSymbols = set()
-        for a in self.args:
-            result.update(a.undefinedSymbols)
-            definedSymbols.update(a.symbolsDefined)
-        return result - definedSymbols
-
-    def children(self):
-        return self._nodes
-
-    def __str__(self):
-        return ''.join('{!s}\n'.format(node) for node in self._nodes)
-
-    def __repr__(self):
-        return ''.join('{!r}'.format(node) for node in self._nodes)
-
-
-class PragmaBlock(Block):
-    def __init__(self, pragmaLine, listOfNodes):
-        super(PragmaBlock, self).__init__(listOfNodes)
-        self.pragmaLine = pragmaLine
-
-
-class LoopOverCoordinate(Node):
-    LOOP_COUNTER_NAME_PREFIX = "ctr"
-
-    def __init__(self, body, coordinateToLoopOver, start, stop, step=1):
-        self._body = body
-        body.parent = self
-        self._coordinateToLoopOver = coordinateToLoopOver
-        self._begin = start
-        self._end = stop
-        self._increment = step
-        self._body.parent = self
-        self.prefixLines = []
-
-    def newLoopWithDifferentBody(self, newBody):
-        result = LoopOverCoordinate(newBody, self._coordinateToLoopOver, self._begin, self._end, self._increment)
-        result.prefixLines = [l for l in self.prefixLines]
-        return result
-
-    @property
-    def args(self):
-        result = [self._body]
-        for e in [self._begin, self._end, self._increment]:
-            if hasattr(e, "args"):
-                result.append(e)
-        return result
-
-    @property
-    def body(self):
-        return self._body
-
-    @property
-    def start(self):
-        return self._begin
-
-    @property
-    def stop(self):
-        return self._end
-
-    @property
-    def step(self):
-        return self._increment
-
-    @property
-    def coordinateToLoopOver(self):
-        return self._coordinateToLoopOver
-
-    @property
-    def symbolsDefined(self):
-        return set([self.loopCounterSymbol])
-
-    @property
-    def undefinedSymbols(self):
-        result = self._body.undefinedSymbols
-        for possibleSymbol in [self._begin, self._end, self._increment]:
-            if isinstance(possibleSymbol, Node) or isinstance(possibleSymbol, sp.Basic):
-                result.update(possibleSymbol.atoms(sp.Symbol))
-        return result - set([self.loopCounterSymbol])
-
-    @staticmethod
-    def getLoopCounterName(coordinateToLoopOver):
-        return "%s_%s" % (LoopOverCoordinate.LOOP_COUNTER_NAME_PREFIX, coordinateToLoopOver)
-
-    @property
-    def loopCounterName(self):
-        return LoopOverCoordinate.getLoopCounterName(self.coordinateToLoopOver)
-
-    @staticmethod
-    def getLoopCounterSymbol(coordinateToLoopOver):
-        return TypedSymbol(LoopOverCoordinate.getLoopCounterName(coordinateToLoopOver), "int")
-
-    @property
-    def loopCounterSymbol(self):
-        return LoopOverCoordinate.getLoopCounterSymbol(self.coordinateToLoopOver)
-
-    @property
-    def isOutermostLoop(self):
-        from pystencils.transformations import getNextParentOfType
-        return getNextParentOfType(self, LoopOverCoordinate) is None
-
-    @property
-    def isInnermostLoop(self):
-        return len(self.atoms(LoopOverCoordinate)) == 0
-
-    @property
-    def coordinateToLoopOver(self):
-        return self._coordinateToLoopOver
-
-    def children(self):
-        yield self.body
-
-    def __str__(self):
-        return 'loop:{!s} in {!s}:{!s}:{!s}\n{!s}'.format(self.loopCounterName, self.start, self.stop, self.step,
-                                                          textwrap.indent(str(self.body), '\t'))
-
-    def __repr__(self):
-        return 'loop:{!s} in {!s}:{!s}:{!s}'.format(self.loopCounterName, self.start, self.stop, self.step)
-
-
-class SympyAssignment(Node):
-
-    def __init__(self, lhsSymbol, rhsTerm, isConst=True):
-        self._lhsSymbol = lhsSymbol
-        self.rhs = rhsTerm
-        self._isDeclaration = True
-        if isinstance(self._lhsSymbol, Field.Access) or isinstance(self._lhsSymbol, IndexedBase):
-            self._isDeclaration = False
-        self._isConst = isConst
-
-    @property
-    def lhs(self):
-        return self._lhsSymbol
-
-    @lhs.setter
-    def lhs(self, newValue):
-        self._lhsSymbol = newValue
-        self._isDeclaration = True
-        if isinstance(self._lhsSymbol, Field.Access) or isinstance(self._lhsSymbol, Indexed):
-            self._isDeclaration = False
-
-    @property
-    def args(self):
-        return [self._lhsSymbol, self.rhs]
-
-    @property
-    def symbolsDefined(self):
-        if not self._isDeclaration:
-            return set()
-        return set([self._lhsSymbol])
-
-    @property
-    def undefinedSymbols(self):
-        result = self.rhs.atoms(sp.Symbol)
-        # Add loop counters if there a field accesses
-        loopCounters = set()
-        for symbol in result:
-            if isinstance(symbol, Field.Access):
-                for i in range(len(symbol.offsets)):
-                    loopCounters.add(LoopOverCoordinate.getLoopCounterSymbol(i))
-        result.update(loopCounters)
-        result.update(self._lhsSymbol.atoms(sp.Symbol))
-        return result
-
-    @property
-    def isDeclaration(self):
-        return self._isDeclaration
-
-    @property
-    def isConst(self):
-        return self._isConst
-
-    def __repr__(self):
-        return repr(self.lhs) + " = " + repr(self.rhs)
-
-
-class TemporaryMemoryAllocation(Node):
-    def __init__(self, typedSymbol, size):
-        self.symbol = typedSymbol
-        self.size = size
-
-    @property
-    def symbolsDefined(self):
-        return set([self.symbol])
-
-    @property
-    def undefinedSymbols(self):
-        if isinstance(self.size, sp.Basic):
-            return self.size.atoms(sp.Symbol)
-        else:
-            return set()
-
-    @property
-    def args(self):
-        return [self.symbol]
-
-
-class TemporaryMemoryFree(Node):
-    def __init__(self, typedSymbol):
-        self.symbol = typedSymbol
-
-    @property
-    def symbolsDefined(self):
-        return set()
-
-    @property
-    def undefinedSymbols(self):
-        return set()
-
-    @property
-    def args(self):
-        return []
-

backends/cbackend.py

-import textwrap
-from sympy.utilities.codegen import CCodePrinter
-from pystencils.ast import Node
-
-
-def generateC(astNode):
-    """
-    Prints the abstract syntax tree as C function
-    """
-    fieldTypes = set([f.dtype for f in astNode.fieldsAccessed])
-    useFloatConstants = "double" not in fieldTypes
-    printer = CBackend(cuda=False, constantsAsFloats=useFloatConstants)
-    return printer(astNode)
-
-
-def generateCUDA(astNode):
-    fieldTypes = set([f.dtype for f in astNode.fieldsAccessed])
-    useFloatConstants = "double" not in fieldTypes
-    printer = CBackend(cuda=True, constantsAsFloats=useFloatConstants)
-    return printer(astNode)
-
-# --------------------------------------- Backend Specific Nodes -------------------------------------------------------
-
-
-class CustomCppCode(Node):
-    def __init__(self, code, symbolsRead, symbolsDefined):
-        self._code = "\n" + code
-        self._symbolsRead = set(symbolsRead)
-        self._symbolsDefined = set(symbolsDefined)
-
-    @property
-    def code(self):
-        return self._code
-
-    @property
-    def args(self):
-        return []
-
-    @property
-    def symbolsDefined(self):
-        return self._symbolsDefined
-
-    @property
-    def undefinedSymbols(self):
-        return self.symbolsDefined - self._symbolsRead
-
-
-class PrintNode(CustomCppCode):
-    def __init__(self, symbolToPrint):
-        code = '\nstd::cout << "%s  =  " << %s << std::endl; \n' % (symbolToPrint.name, symbolToPrint.name)
-        super(PrintNode, self).__init__(code, symbolsRead=[symbolToPrint], symbolsDefined=set())
-
-
-# ------------------------------------------- Printer ------------------------------------------------------------------
-
-
-class CBackend:
-
-    def __init__(self, cuda=False, constantsAsFloats=False, sympyPrinter=None):
-        self.cuda = cuda
-        if sympyPrinter is None:
-            self.sympyPrinter = CustomSympyPrinter(constantsAsFloats)
-        else:
-            self.sympyPrinter = sympyPrinter
-
-        self._indent = "   "
-
-    def __call__(self, node):
-        return str(self._print(node))
-
-    def _print(self, node):
-        for cls in type(node).__mro__:
-            methodName = "_print_" + cls.__name__
-            if hasattr(self, methodName):
-                return getattr(self, methodName)(node)
-        raise NotImplementedError("CBackend does not support node of type " + cls.__name__)
-
-    def _print_KernelFunction(self, node):
-        functionArguments = ["%s %s" % (str(s.dtype), s.name) for s in node.parameters]
-        prefix = "__global__ void" if self.cuda else "void"
-        funcDeclaration = "%s %s(%s)" % (prefix, node.functionName, ", ".join(functionArguments))
-        body = self._print(node.body)
-        return funcDeclaration + "\n" + body
-
-    def _print_Block(self, node):
-        blockContents = "\n".join([self._print(child) for child in node.args])
-        return "{\n%s\n}" % (textwrap.indent(blockContents, self._indent))
-
-    def _print_PragmaBlock(self, node):
-        return "%s\n%s" % (node.pragmaLine, self._print_Block(node))
-
-    def _print_LoopOverCoordinate(self, node):
-        counterVar = node.loopCounterName
-        start = "int %s = %s" % (counterVar, self.sympyPrinter.doprint(node.start))
-        condition = "%s < %s" % (counterVar, self.sympyPrinter.doprint(node.stop))
-        update = "%s += %s" % (counterVar, self.sympyPrinter.doprint(node.step),)
-        loopStr = "for (%s; %s; %s)" % (start, condition, update)
-
-        prefix = "\n".join(node.prefixLines)
-        if prefix:
-            prefix += "\n"
-        return "%s%s\n%s" % (prefix, loopStr, self._print(node.body))
-
-    def _print_SympyAssignment(self, node):
-        dtype = ""
-        if node.isDeclaration:
-            if node.isConst:
-                dtype = "const " + str(node.lhs.dtype) + " "
-            else:
-                dtype = str(node.lhs.dtype) + " "
-        return "%s %s = %s;" % (str(dtype), self.sympyPrinter.doprint(node.lhs), self.sympyPrinter.doprint(node.rhs))
-
-    def _print_TemporaryMemoryAllocation(self, node):
-        return "%s * %s = new %s[%s];" % (node.symbol.dtype, self.sympyPrinter.doprint(node.symbol),
-                                         node.symbol.dtype, self.sympyPrinter.doprint(node.size))
-
-    def _print_TemporaryMemoryFree(self, node):
-        return "delete [] %s;" % (self.sympyPrinter.doprint(node.symbol),)
-
-    def _print_CustomCppCode(self, node):
-        return node.code
-
-
-# ------------------------------------------ Helper function & classes -------------------------------------------------
-
-
-class CustomSympyPrinter(CCodePrinter):
-
-    def __init__(self, constantsAsFloats=False):
-        self._constantsAsFloats = constantsAsFloats
-        super(CustomSympyPrinter, self).__init__()
-
-    def _print_Pow(self, expr):
-        """Don't use std::pow function, for small integer exponents, write as multiplication"""
-        if expr.exp.is_integer and expr.exp.is_number and 0 < expr.exp < 8:
-            return '(' + '*'.join(["(" + self._print(expr.base) + ")"] * expr.exp) + ')'
-        else:
-            return super(CustomSympyPrinter, self)._print_Pow(expr)
-
-    def _print_Rational(self, expr):
-        """Evaluate all rationals i.e. print 0.25 instead of 1.0/4.0"""
-        res = str(expr.evalf().num)
-        if self._constantsAsFloats:
-            res += "f"
-        return res
-
-    def _print_Equality(self, expr):
-        """Equality operator is not printable in default printer"""
-        return '((' + self._print(expr.lhs) + ") == (" + self._print(expr.rhs) + '))'
-
-    def _print_Piecewise(self, expr):
-        """Print piecewise in one line (remove newlines)"""
-        result = super(CustomSympyPrinter, self)._print_Piecewise(expr)
-        return result.replace("\n", "")
-
-    def _print_Float(self, expr):
-        res = str(expr)
-        if self._constantsAsFloats:
-            res += "f"
-        return res

backends/dot.py

-from sympy.printing.printer import Printer
-from graphviz import Digraph, lang
-
-
-class DotPrinter(Printer):
-    """
-    A printer which converts ast to DOT (graph description language).
-    """
-    def __init__(self, nodeToStrFunction, **kwargs):
-        super().__init__()
-        self._nodeToStrFunction = nodeToStrFunction
-        self.dot = Digraph(**kwargs)
-        self.dot.quote_edge = lang.quote
-
-    def _print_KernelFunction(self, function):
-        self.dot.node(self._nodeToStrFunction(function), style='filled', fillcolor='#E69F00')
-        self._print(function.body)
-
-    def _print_LoopOverCoordinate(self, loop):
-        self.dot.node(self._nodeToStrFunction(loop), style='filled', fillcolor='#56B4E9')
-        self._print(loop.body)
-
-    def _print_Block(self, block):
-        for node in block.children():
-            self._print(node)
-        parent = block.parent
-        for node in block.children():
-            self.dot.edge(self._nodeToStrFunction(parent), self._nodeToStrFunction(node))
-            #parent = node
-
-    def _print_SympyAssignment(self, assignment):
-        self.dot.node(self._nodeToStrFunction(assignment))
-
-    def doprint(self, expr):
-        self._print(expr)
-        return self.dot.source
-
-
-def __shortened(node):
-    from pystencils.ast import LoopOverCoordinate, KernelFunction, SympyAssignment
-    if isinstance(node, LoopOverCoordinate):
-        return "Loop over dim %d" % (node.coordinateToLoopOver,)
-    elif isinstance(node, KernelFunction):
-        params = [f.name for f in node.fieldsAccessed]
-        params += [p.name for p in node.parameters if not p.isFieldArgument]
-        return "Func: %s (%s)" % (node.functionName, ",".join(params))
-    elif isinstance(node, SympyAssignment):
-        return "Assignment: " + repr(node.lhs)
-
-
-def dotprint(ast, view=False, short=False, **kwargs):
-    """
-    Returns a string which can be used to generate a DOT-graph
-    :param ast: The ast which should be generated
-    :param view: Boolen, if rendering of the image directly should occur.
-    :param kwargs: is directly passed to the DotPrinter class: http://graphviz.readthedocs.io/en/latest/api.html#digraph
-    :return: string in DOT format
-    """
-    nodeToStrFunction = __shortened if short else repr
-    printer = DotPrinter(nodeToStrFunction, **kwargs)
-    dot = printer.doprint(ast)
-    if view:
-        printer.dot.render(view=view)
-    return dot
-
-if __name__ == "__main__":
-    from pystencils import Field
-    import sympy as sp
-    imgField = Field.createGeneric('I',
-                                   spatialDimensions=2, # 2D image
-                                   indexDimensions=1)   # multiple values per pixel: e.g. RGB
-    w1, w2 = sp.symbols("w_1 w_2")
-    sobelX = -w2 * imgField[-1, 0](1) - w1 * imgField[-1, -1](1) - w1 * imgField[-1, +1](1) \
-             + w2 * imgField[+1, 0](1) + w1 * imgField[+1, -1](1) - w1 * imgField[+1, +1](1)
-    sobelX
-
-    dstField = Field.createGeneric('dst', spatialDimensions=2, indexDimensions=0)
-    updateRule = sp.Eq(dstField[0, 0], sobelX)
-    updateRule
-
-    from pystencils.cpu import createKernel
-    ast = createKernel([updateRule])
-    print(dotprint(ast, short=True))
\ No newline at end of file

backends/llvm.py

-import llvmlite.ir as ir
-
-from sympy.printing.printer import Printer
-from sympy import S
-# S is numbers?
-
-
-class LLVMPrinter(Printer):
-    """Convert expressions to LLVM IR"""
-    def __init__(self, module, builder, fn=None, *args, **kwargs):
-        self.func_arg_map = kwargs.pop("func_arg_map", {})
-        super(LLVMPrinter, self).__init__(*args, **kwargs)
-        self.fp_type = ir.DoubleType()
-        self.fp_pointer = self.fp_type.as_pointer()
-        self.integer = ir.IntType(64)
-        self.void = ir.VoidType()
-        self.module = module
-        self.builder = builder
-        self.fn = fn
-        self.ext_fn = {}  # keep track of wrappers to external functions
-        self.tmp_var = {}
-
-    def _add_tmp_var(self, name, value):
-        self.tmp_var[name] = value
-
-    def _print_Number(self, n, **kwargs):
-        return ir.Constant(self.fp_type, float(n))
-
-    def _print_Integer(self, expr):
-        return ir.Constant(self.fp_type, float(expr.p))
-
-    def _print_Symbol(self, s):
-        val = self.tmp_var.get(s)
-        if not val:
-            # look up parameter with name s
-            val = self.func_arg_map.get(s)
-        if not val:
-            raise LookupError("Symbol not found: %s" % s)
-        return val
-
-    def _print_Pow(self, expr):
-        base0 = self._print(expr.base)
-        if expr.exp == S.NegativeOne:
-            return self.builder.fdiv(ir.Constant(self.fp_type, 1.0), base0)
-        if expr.exp == S.Half:
-            fn = self.ext_fn.get("sqrt")
-            if not fn:
-                fn_type = ir.FunctionType(self.fp_type, [self.fp_type])
-                fn = ir.Function(self.module, fn_type, "sqrt")
-                self.ext_fn["sqrt"] = fn
-            return self.builder.call(fn, [base0], "sqrt")
-        if expr.exp == 2:
-            return self.builder.fmul(base0, base0)
-
-        exp0 = self._print(expr.exp)
-        fn = self.ext_fn.get("pow")
-        if not fn:
-            fn_type = ir.FunctionType(self.fp_type, [self.fp_type, self.fp_type])
-            fn = ir.Function(self.module, fn_type, "pow")
-            self.ext_fn["pow"] = fn
-        return self.builder.call(fn, [base0, exp0], "pow")
-
-    def _print_Mul(self, expr):
-        nodes = [self._print(a) for a in expr.args]
-        e = nodes[0]
-        for node in nodes[1:]:
-            e = self.builder.fmul(e, node)
-        return e
-
-    def _print_Add(self, expr):
-        nodes = [self._print(a) for a in expr.args]
-        e = nodes[0]
-        for node in nodes[1:]:
-            e = self.builder.fadd(e, node)
-        return e
-
-    def _print_KernelFunction(self, function):
-        return_type = self.void
-        # TODO argument in their own call?
-        parameter_type = []
-        for parameter in function.parameters:
-            # TODO what bout ptr shape and stride argument?
-            if parameter.isFieldArgument:
-                parameter_type.append(self.fp_pointer)
-            else:
-                parameter_type.append(self.fp_type)
-        # TODO need tuple()?
-        func_type = ir.FunctionType(return_type, tuple(parameter_type))
-        self.fn = ir.Function(self.module, func_type, function.functionName)
-
-        # func.attributes.add("inlinehint")
-        # func.attributes.add("argmemonly")
-        block = self.fn.append_basic_block(name="entry")
-        self.builder = ir.IRBuilder(block)
-        return self.fn
-
-
-
-        # TODO - assumes all called functions take one double precision argument.
-        #        Should have a list of math library functions to validate this.
-
-    # TODO delete this?
-    def _print_Function(self, expr):
-        name = expr.func.__name__
-        e0 = self._print(expr.args[0])
-        fn = self.ext_fn.get(name)
-        if not fn:
-            fn_type = ir.FunctionType(self.fp_type, [self.fp_type])
-            fn = ir.Function(self.module, fn_type, name)
-            self.ext_fn[name] = fn
-        return self.builder.call(fn, [e0], name)
-
-    def emptyPrinter(self, expr):
-        raise TypeError("Unsupported type for LLVM JIT conversion: %s"
-                        % type(expr))
-
-
-
-
-def generateLLVM(astNode):
-    return None

backends/logging.json

-{
-  "version" : 1,
-  "disable_existing_loggers" : false,
-  "formatters" : {
-    "simple" :{
-      "format" : "[%(levelname)s]: %(message)s"
-    }
-  },
-  "handlers" : {
-    "console": {
-            "class": "logging.StreamHandler",
-            "level": "INFO",
-            "formatter": "simple",
-            "stream": "ext://sys.stdout"
-        },
-    "log_file": {
-            "class": "logging.FileHandler",
-            "level": "DEBUG",
-            "formatter": "simple",
-            "filename": "gen.log",
-            "mode" : "w",
-            "encoding": "utf8"
-        }
-  },
-  "loggers" : {
-    "generator" : {
-      "level" : "DEBUG",
-      "handlers" : ["console", "log_file"]
-    }
-  }
-}
\ No newline at end of file

binder/apt.txt

+build-essential
+graphviz
+ffmpeg

binder/environment.yml

+
+# ----------------------------------------------------------------------------------------------------------------------
+# Environment with all dependencies to use pystencils
+#
+#
+# Download conda at https://conda.io/miniconda.html and create this environment by running:
+#     conda env create -f conda_environment_user.yml
+#     . activate pystencils
+#
+# If you have CUDA or ROCm installed and want to use your GPU, uncomment the last line to install cupy
+#
+# ----------------------------------------------------------------------------------------------------------------------
+
+name: pystencils
+dependencies:
+  # Basic dependencies:
+  - python >= 3.8
+  - numpy
+  - sympy >= 1.1
+  - appdirs # to find default cache directory on each platform
+  - joblib # caching on hard-disk, this is optional, but if not installed lbmpy is really slow
+  - cython # speed up boundary list computation (optional)
+  - matplotlib
+  - imageio
+  - pandas
+  - scipy
+  - pip
+  - pip:
+      - islpy # used to optimize staggered kernels
+      - py-cpuinfo # get cpu info like cache sizes, supported vector instruction sets, ...
+      - graphviz  # can show abstract syntax trees as formatted graphs
+      - ipy_table  # HTML tables for jupyter notebooks
+      - pyevtk # VTK output for serial simulations
+      - blitzdb # file-based No-SQL database to store simulation results
+      #- cupy # add this if you have CUDA or ROCm installed

binder/start

+#!/bin/bash
+
+python3 setup.py develop
+
+exec "$@"
\ No newline at end of file