let the ci dance begin
@@ -10,45 +10,34 @@ source:
sha256: 0b2448b66c32f61d3d78d0f03d5c37c6a2fb09e1e917c4cd662aff507059af83
build:
- # Uncomment the following line if the package is pure Python and the recipe is exactly the same for all platforms.
- # It is okay if the dependencies are not built for all platforms/versions, although selectors are still not allowed.
- # See https://conda-forge.org/docs/maintainer/knowledge_base.html#noarch-python for more details.
- # noarch: python
number: 0
- # If the installation is complex, or different between Unix and Windows, use separate bld.bat and build.sh files instead of this key.
- # By default, the package will be built for the Python versions supported by conda-forge and for all major OSs.
- # Add the line "skip: True # [py<35]" (for example) to limit to Python 3.5 and newer, or "skip: True # [not win]" to limit to Windows.
script: "{{ PYTHON }} -m pip install . -vv"
skip: True # [py<36]
requirements:
build:
- # If your project compiles code (such as a C extension) then add the required compilers as separate entries here.
- # Compilers are named 'c', 'cxx' and 'fortran'.
- {{ compiler('c') }}
- numpy
host:
- python
- pip
+ - numpy
run:
- python
- - numpy
+ - {{ pin_compatible('numpy') }}
- scipy
test:
- # Some packages might need a `test/commands` key to check CLI.
- # List all the packages/modules that `run_test.py` imports.
imports:
- dtw
about:
home: https://dynamictimewarping.github.io/
- license: GPL-3
+ license: GPL-3.0-or-later
license_family: GPL
license_file: LICENSE
summary: 'A comprehensive implementation of dynamic time warping (DTW) algorithms.'
- # The remaining entries in this section are optional, but recommended.
description: |
A comprehensive implementation of dynamic time warping (DTW)
algorithms. DTW computes the optimal (least cumulative distance)
