__init__.py 1.7 KB

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  1. from scipy.stats._boost.beta_ufunc import (
  2. _beta_pdf, _beta_cdf, _beta_sf, _beta_ppf,
  3. _beta_isf, _beta_mean, _beta_variance,
  4. _beta_skewness, _beta_kurtosis_excess,
  5. )
  6. from scipy.stats._boost.binom_ufunc import (
  7. _binom_pdf, _binom_cdf, _binom_sf, _binom_ppf,
  8. _binom_isf, _binom_mean, _binom_variance,
  9. _binom_skewness, _binom_kurtosis_excess,
  10. )
  11. from scipy.stats._boost.nbinom_ufunc import (
  12. _nbinom_pdf, _nbinom_cdf, _nbinom_sf, _nbinom_ppf,
  13. _nbinom_isf, _nbinom_mean, _nbinom_variance,
  14. _nbinom_skewness, _nbinom_kurtosis_excess,
  15. )
  16. from scipy.stats._boost.hypergeom_ufunc import (
  17. _hypergeom_pdf, _hypergeom_cdf, _hypergeom_sf, _hypergeom_ppf,
  18. _hypergeom_isf, _hypergeom_mean, _hypergeom_variance,
  19. _hypergeom_skewness, _hypergeom_kurtosis_excess,
  20. )
  21. from scipy.stats._boost.ncf_ufunc import (
  22. _ncf_pdf, _ncf_cdf, _ncf_sf, _ncf_ppf,
  23. _ncf_isf, _ncf_mean, _ncf_variance,
  24. _ncf_skewness, _ncf_kurtosis_excess,
  25. )
  26. from scipy.stats._boost.ncx2_ufunc import (
  27. _ncx2_pdf, _ncx2_cdf, _ncx2_sf, _ncx2_ppf,
  28. _ncx2_isf, _ncx2_mean, _ncx2_variance,
  29. _ncx2_skewness, _ncx2_kurtosis_excess,
  30. )
  31. from scipy.stats._boost.nct_ufunc import (
  32. _nct_pdf, _nct_cdf, _nct_sf, _nct_ppf,
  33. _nct_isf, _nct_mean, _nct_variance,
  34. _nct_skewness, _nct_kurtosis_excess,
  35. )
  36. from scipy.stats._boost.skewnorm_ufunc import (
  37. _skewnorm_pdf, _skewnorm_cdf, _skewnorm_sf, _skewnorm_ppf,
  38. _skewnorm_isf, _skewnorm_mean, _skewnorm_variance,
  39. _skewnorm_skewness, _skewnorm_kurtosis_excess,
  40. )
  41. from scipy.stats._boost.invgauss_ufunc import (
  42. _invgauss_pdf, _invgauss_cdf, _invgauss_sf, _invgauss_ppf,
  43. _invgauss_isf, _invgauss_mean, _invgauss_variance,
  44. _invgauss_skewness, _invgauss_kurtosis_excess,
  45. )