Merge pull request conda-forge#9678 from janniklasrose/trng

Add TRNG

recipes/trng/meta.yaml

@@ -0,0 +1,56 @@
+{% set name = "trng" %}
+{% set version = "4.21" %}
+
+package:
+  name: {{ name }}
+  version: {{ version }}
+
+source:
+  url: https://www.numbercrunch.de/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: 03f9fbbb2b99fa12cc9f7a6b768089bc62895da89cc2578d94c86c67840e560c
+
+build:
+  number: 0
+  skip: True  # [win]
+  script: "./configure --prefix=$PREFIX && make install"
+
+requirements:
+  build:
+    - {{ compiler('cxx') }}
+    - make
+
+test:
+  commands:
+    # library
+    - test -f $PREFIX/lib/lib{{ name }}{{ version[0] }}.a            # [unix]
+    - test -f $PREFIX/lib/lib{{ name }}{{ version[0] }}${SHLIB_EXT}  # [unix]
+    - conda inspect linkages $PKG_NAME  # [unix]
+    - conda inspect objects  $PKG_NAME  # [osx]
+    # header (too many .hpp files, so only test for the directory)
+    - test -d $PREFIX/include/{{ name }}  # [unix]
+
+about:
+  home: http://www.numbercrunch.de/trng
+  license: BSD-3-Clause
+  license_family: BSD
+  license_file: COPYING
+  summary: "pseudo-random number generator library"
+  description: "Tina's Random Number Generator Library (TRNG)
+    is a state of the art C++ pseudo-random number generator library for
+    sequential and parallel Monte Carlo simulations. Its design principles are
+    based on a proposal for an extensible random number generator facility,
+    that has become part of the C++11 standard.
+    
+    The TRNG library features an object oriented design, is easy to use and
+    has been speed optimized. Its implementation does not depend on any
+    communication library or hardware architecture. TRNG is suited for shared
+    memory as well as for distributed memory computers and may be used in any
+    parallel programming environment, e.g. Message Passing Standard, OpenMP or
+    CUDA. All generators, that are implemented by TRNG, have been subjected to
+    thorough statistical tests in sequential and parallel setups."
+  doc_url: https://www.numbercrunch.de/trng/#docu
+  dev_url: https://github.com/rabauke/trng4
+
+extra:
+  recipe-maintainers:
+    - janniklasrose