SciPy-bundle-2020.11-intel-2020b.eb 1.6 KB

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  1. easyblock = 'PythonBundle'
  2. name = 'SciPy-bundle'
  3. version = '2020.11'
  4. homepage = 'https://python.org/'
  5. description = "Bundle of Python packages for scientific software"
  6. toolchain = {'name': 'intel', 'version': '2020b'}
  7. toolchainopts = {'pic': True, 'lowopt': True}
  8. dependencies = [
  9. ('Python', '3.8.6'),
  10. ('pybind11', '2.6.0'), # required by scipy
  11. ]
  12. use_pip = True
  13. exts_default_options = {'source_urls': [PYPI_SOURCE]}
  14. # order is important!
  15. exts_list = [
  16. ('hypothesis', '5.41.1', {
  17. 'checksums': ['06776c245b5eb25011040f94779fda6bbfa9def72074672af2e79a5e6bce8b38'],
  18. }),
  19. ('numpy', '1.19.4', {
  20. 'patches': ['numpy-1.18.2-mkl.patch'],
  21. 'source_tmpl': '%(name)s-%(version)s.zip',
  22. 'checksums': [
  23. '141ec3a3300ab89c7f2b0775289954d193cc8edb621ea05f99db9cb181530512',
  24. 'ea25ad5c0148c1398d282f0424e642fb9815a1a80f4512659b018e2adc378bcf', # numpy-1.18.2-mkl.patch
  25. ],
  26. }),
  27. ('scipy', '1.5.4', {
  28. 'checksums': [
  29. '4a453d5e5689de62e5d38edf40af3f17560bfd63c9c5bd228c18c1f99afa155b',
  30. ],
  31. }),
  32. ('mpi4py', '3.0.3', {
  33. 'checksums': ['012d716c8b9ed1e513fcc4b18e5af16a8791f51e6d1716baccf988ad355c5a1f'],
  34. }),
  35. ('pandas', '1.0.3', {
  36. 'checksums': ['32f42e322fb903d0e189a4c10b75ba70d90958cc4f66a1781ed027f1a1d14586'],
  37. }),
  38. ('mpmath', '1.1.0', {
  39. 'checksums': ['fc17abe05fbab3382b61a123c398508183406fa132e0223874578e20946499f6'],
  40. }),
  41. ('deap', '1.3.1', {
  42. 'checksums': ['11f54493ceb54aae10dde676577ef59fc52d52f82729d5a12c90b0813c857a2f'],
  43. }),
  44. ]
  45. sanity_pip_check = True
  46. moduleclass = 'lang'