Initial feedstock commit with conda-smithy 3.36.0.

conda-forge.yml

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+{}

recipe/meta.yaml

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+{% set name = "odetoolbox" %}
+{% set version = "2.5.5" %}
+
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://github.com/nest/ode-toolbox/archive/v{{ version }}.tar.gz
+  sha256: f197400bf95d8abd86ed41a31898d7dc9fda6340facb1af9d96e8fda83e7c17e
+
+build:
+  noarch: python
+  number: 0
+  script: {{ PYTHON }} -m pip install . -vv --no-deps --no-build-isolation
+
+requirements:
+  host:
+    - python >=3 
+    - pytest-runner
+    - pip
+  run:
+    - python >=3 
+    - sympy >1.5,!=1.6rc1,!=1.6rc2,!=1.6,!=1.10,!=1.10.*
+    - numpy >=1.8.2
+    - scipy
+    - pytest
+    - cython
+
+test:
+  imports:
+    - odetoolbox
+  commands:
+    - pip check
+  requires:
+    - pip
+
+about:
+  home: https://github.com/nest/ode-toolbox
+  summary: 'ODE-toolbox: Automatic selection and generation of integration schemes' 
+  description: |
+    Automatic selection and generation of integration schemes for systems of 
+    ordinary differential equations.
+    Choosing the optimal solver for systems of ordinary differential 
+    equations (ODEs) is a critical step in dynamical systems simulation. 
+    ODE-toolbox is a Python package that assists in solver benchmarking, 
+    and recommends solvers on the basis of a set of user-configurable 
+    heuristics. For all dynamical equations that admit an analytic solution, 
+    ODE-toolbox generates propagator matrices that allow the solution to be 
+    calculated at machine precision. For all others, first-order update 
+    expressions are returned based on the Jacobian matrix.
+  license: GPL-2.0-only
+  license_file: LICENSE.md
+
+extra:
+  recipe-maintainers:
+    - steffengraber