Add py-fann2 recipe

recipes/py-fann2/meta.yaml

@@ -0,0 +1,53 @@
+{% set name = "fann2" %}
+{% set version = "1.1.2" %}
+{% set file_ext = "tar.gz" %}
+{% set hash_type = "sha256" %}
+{% set hash_value = "0f2ae9e14630d4d652ffb58f9239ca488e5c15c38e9302f204c24d8c2f7cf0d8" %}
+
+package:
+  name: 'py-{{ name|lower }}'
+  version: '{{ version }}'
+
+source:
+  fn: '{{ name }}-{{ version }}.{{ file_ext }}'
+  url:  https://github.com/FutureLinkCorporation/{{ name }}/archive/{{ version }}.{{ file_ext }}
+  '{{ hash_type }}': '{{ hash_value }}'
+  patches:
+    - setup.py.patch
+
+build:
+  number: 0
+  script: python setup.py install --single-version-externally-managed --record=record.txt
+  skip: True  # [win]
+
+requirements:
+  build:
+    - python
+    - setuptools
+    - fann2
+    - toolchain
+    - swig
+  run:
+    - python
+    - fann2
+
+test:
+  imports:
+    - fann2
+
+about:
+  home: https://github.com/FutureLinkCorporation/fann2
+  license: LGPL-2.1
+  license_family: LGPL
+  license_file: 'LICENSE'
+  summary: Fast Artificial Neural Network Library (fann) python bindings.
+  description: |
+    Python bindings for Fast Artificial Neural Networks (FANN) library that
+    implements multilayer artificial neural networks with support for both
+    fully-connected and sparsely-connected networks. It includes a framework for
+    easy handling of training data sets. It is easy to use, versatile, well-
+    documented, and fast.
+
+extra:
+  recipe-maintainers:
+    - smithsp

recipes/py-fann2/setup.py.patch

@@ -0,0 +1,11 @@
+--- a/setup.py
++++ b/setup.py
+@@ -65,7 +65,7 @@ def find_fann():
+                     return True
+         raise Exception("Couldn't find FANN source libs!")
+     else:
+-        dirs = ['/lib', '/usr/lib', '/usr/lib64', '/usr/local/lib', '/usr/pkg/lib']
++        dirs = [os.environ.get('PREFIX','')+'/lib','/lib', '/usr/lib', '/usr/lib64', '/usr/local/lib', '/usr/pkg/lib']
+         for path in dirs:
+             if os.path.isdir(path):
+                 if find_x(path):