m2m模型翻译
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7 months ago
  1. from typing import List
  2. from numpy.random._generator import Generator as Generator
  3. from numpy.random._generator import default_rng as default_rng
  4. from numpy.random._mt19937 import MT19937 as MT19937
  5. from numpy.random._pcg64 import (
  6. PCG64 as PCG64,
  7. PCG64DXSM as PCG64DXSM,
  8. )
  9. from numpy.random._philox import Philox as Philox
  10. from numpy.random._sfc64 import SFC64 as SFC64
  11. from numpy.random.bit_generator import BitGenerator as BitGenerator
  12. from numpy.random.bit_generator import SeedSequence as SeedSequence
  13. from numpy.random.mtrand import (
  14. RandomState as RandomState,
  15. beta as beta,
  16. binomial as binomial,
  17. bytes as bytes,
  18. chisquare as chisquare,
  19. choice as choice,
  20. dirichlet as dirichlet,
  21. exponential as exponential,
  22. f as f,
  23. gamma as gamma,
  24. geometric as geometric,
  25. get_state as get_state,
  26. gumbel as gumbel,
  27. hypergeometric as hypergeometric,
  28. laplace as laplace,
  29. logistic as logistic,
  30. lognormal as lognormal,
  31. logseries as logseries,
  32. multinomial as multinomial,
  33. multivariate_normal as multivariate_normal,
  34. negative_binomial as negative_binomial,
  35. noncentral_chisquare as noncentral_chisquare,
  36. noncentral_f as noncentral_f,
  37. normal as normal,
  38. pareto as pareto,
  39. permutation as permutation,
  40. poisson as poisson,
  41. power as power,
  42. rand as rand,
  43. randint as randint,
  44. randn as randn,
  45. random as random,
  46. random_integers as random_integers,
  47. random_sample as random_sample,
  48. ranf as ranf,
  49. rayleigh as rayleigh,
  50. sample as sample,
  51. seed as seed,
  52. set_state as set_state,
  53. shuffle as shuffle,
  54. standard_cauchy as standard_cauchy,
  55. standard_exponential as standard_exponential,
  56. standard_gamma as standard_gamma,
  57. standard_normal as standard_normal,
  58. standard_t as standard_t,
  59. triangular as triangular,
  60. uniform as uniform,
  61. vonmises as vonmises,
  62. wald as wald,
  63. weibull as weibull,
  64. zipf as zipf,
  65. )
  66. __all__: List[str]