test_numpy.py 34 KB

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  1. import sys
  2. import math
  3. is_pkpy = not hasattr(sys, 'getrefcount')
  4. if is_pkpy:
  5. import numpy_bindings as np
  6. else:
  7. import numpy as np
  8. def assert_equal(a, b):
  9. assert (a == b).all()
  10. # test dtypes
  11. assert hasattr(np, 'int8')
  12. assert hasattr(np, 'int16')
  13. assert hasattr(np, 'int32')
  14. assert hasattr(np, 'int64')
  15. assert hasattr(np, 'int_')
  16. assert hasattr(np, 'float32')
  17. assert hasattr(np, 'float64')
  18. assert hasattr(np, 'float_')
  19. assert hasattr(np, 'bool_')
  20. # test array int
  21. arr1 = np.array([])
  22. arr2 = np.array(10)
  23. arr3 = np.array([-2, -1, 0, 1, 2])
  24. arr4 = np.array([[1, 2], [2, 1]])
  25. arr5 = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])
  26. arr6 = np.array([[[[[1], [10], [100], [1000], [10000]]]]])
  27. arr7 = np.array([[[2147483647]]])
  28. arr8 = np.array([1, 2, 3, 4, 5], dtype='int8')
  29. arr8 = np.array([1, 2, 3, 4, 5], np.int8)
  30. arr9 = np.array([1, 2, 3, 4, 5], dtype='int16')
  31. arr9 = np.array([1, 2, 3, 4, 5], np.int16)
  32. arr10 = np.array([1, 2, 3, 4, 5], dtype='int32')
  33. arr10 = np.array([1, 2, 3, 4, 5], np.int32)
  34. arr11 = np.array([1, 2, 3, 4, 5], dtype='int64')
  35. arr11 = np.array([1, 2, 3, 4, 5], np.int64)
  36. # test array bool
  37. arr1 = np.array([True, False, True, False])
  38. arr2 = np.array([[True, False], [False, True]])
  39. arr3 = np.array([[[True, False, True], [False, True, False]], [[True, False, True], [False, True, False]]])
  40. arr4 = np.array([[1, 0], [0, 1]], dtype='bool')
  41. arr4 = np.array([[1, 0], [0, 1]], np.bool_)
  42. # test array float
  43. arr1 = np.array([0.123456789])
  44. arr2 = np.array([-2.0, -1.0, 0.0, 1.0, 2.0])
  45. arr3 = np.array([[1.0, 2.0], [2.0, 1.0]])
  46. arr4 = np.array([[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], [[7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]])
  47. arr5 = np.array([[[[[1.0], [10.0], [100.0], [1000.0], [10000.0]]]]])
  48. arr6 = np.array([[[3.141592653589793]]])
  49. arr7 = np.array([1.0, 2.0, 3.0, 4.0, 5.0], dtype='float32')
  50. arr7 = np.array([1.0, 2.0, 3.0, 4.0, 5.0], np.float32)
  51. arr8 = np.array([1.0, 2.0, 3.0, 4.0, 5.0], dtype='float64')
  52. arr8 = np.array([1.0, 2.0, 3.0, 4.0, 5.0], np.float64)
  53. # test array creation
  54. assert_equal(np.ones([1, 1]), np.array([[1.0]]))
  55. assert_equal(np.ones([1, 1, 2, 2]), np.array([[[[1.0, 1.0], [1.0, 1.0]]]]))
  56. assert_equal(np.zeros([1, 1]), np.array([[0.0]]))
  57. assert_equal(np.zeros([1, 1, 2, 2]), np.array([[[[0.0, 0.0], [0.0, 0.0]]]]))
  58. assert_equal(np.full([1, 1], -1e9), np.array([[-1.000000e+09]]))
  59. assert_equal(np.full([1, 1, 2, 2], 3.14), np.array([[[[3.14, 3.14], [3.14, 3.14]]]]))
  60. assert_equal(np.identity(1), np.array([[1.0]]))
  61. assert_equal(np.identity(3), np.array([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]))
  62. assert_equal(np.arange(10), np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]))
  63. assert_equal(np.arange(1, 10), np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]))
  64. assert_equal(np.arange(1, 10, 2), np.array([1, 3, 5, 7, 9]))
  65. assert_equal(np.linspace(0, 1, 5), np.array([0.0, 0.25, 0.5, 0.75, 1.0]))
  66. assert np.allclose(np.linspace(0, 1, 5, False), np.array([0.0, 0.2, 0.4, 0.6, 0.8]))
  67. assert np.allclose(np.linspace(0, 1, 20, True),
  68. np.array([0.0, 0.05263158, 0.10526316,
  69. 0.15789474, 0.21052632, 0.26315789,
  70. 0.31578947, 0.36842105, 0.42105263,
  71. 0.47368421, 0.52631579, 0.57894737,
  72. 0.63157895, 0.68421053, 0.73684211,
  73. 0.78947368, 0.84210526, 0.89473684,
  74. 0.94736842, 1.0]))
  75. # test array properties
  76. arr1 = np.array([1, 2, 3])
  77. assert arr1.size == 3
  78. assert arr1.ndim == 1
  79. assert arr1.shape == (3,)
  80. assert arr1.dtype == 'int64'
  81. arr2 = np.array([[1, 2], [3, 4]])
  82. assert arr2.size == 4
  83. assert arr2.ndim == 2
  84. assert arr2.shape == (2, 2)
  85. assert arr2.dtype == np.int64
  86. arr3 = np.array([[1, 2, 2, 1], [3, 4, 4, 3], [5, 6, 6, 5]], np.int32)
  87. assert arr3.size == 12
  88. assert arr3.ndim == 2
  89. assert arr3.shape == (3, 4)
  90. assert arr3.dtype == 'int32'
  91. arr4 = np.array([[[[[1.5, 2.5], [3.5, 4.5], [5.5, 6.5]]]]])
  92. assert arr4.size == 6
  93. assert arr4.ndim == 5
  94. assert arr4.shape == (1, 1, 1, 3, 2)
  95. assert arr4.dtype == np.float64
  96. # test boolean functions
  97. arr1 = np.array([0.0])
  98. assert arr1.all() == False
  99. assert arr1.any() == False
  100. arr2 = np.array([1.0])
  101. assert arr2.all() == True
  102. assert arr2.any() == True
  103. arr3 = np.array([[1, 0], [0, 1]])
  104. assert arr3.all() == False
  105. assert arr3.any() == True
  106. arr4 = np.array([[[True, False, True], [False, True, False]], [[True, False, True], [False, True, False]]])
  107. assert arr4.all() == False
  108. assert arr4.any() == True
  109. # test array sum
  110. a = np.array([1.0, 2.0, 3.0])
  111. assert math.isclose(a.sum(), 6.0)
  112. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  113. assert arr1.sum() == 45
  114. assert arr1.sum(0) == 45
  115. arr2 = np.array([[1], [2], [3]])
  116. assert arr2.sum() == 6
  117. assert_equal(arr2.sum(0), np.array([6]))
  118. assert_equal(arr2.sum(1), np.array([1, 2, 3]))
  119. assert arr2.sum((0, 1)) == 6
  120. arr3 = np.array([[[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]])
  121. assert arr3.sum() == 40.5
  122. assert_equal(arr3.sum(0), np.array([[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]))
  123. assert_equal(arr3.sum(1), np.array([[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]))
  124. assert_equal(arr3.sum(2), np.array([[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]))
  125. assert_equal(arr3.sum(3), np.array([[[[10.5, 13.5, 16.5]]]]))
  126. assert_equal(arr3.sum(4), np.array([[[[7.5, 13.5, 19.5]]]]))
  127. assert_equal(arr3.sum((0, 1)), np.array([[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]))
  128. assert_equal(arr3.sum((3, 4)), np.array([[[40.5]]]))
  129. # test array prod
  130. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  131. assert arr1.prod() == 362880
  132. assert arr1.prod(0) == 362880
  133. arr2 = np.array([[1], [2], [3]])
  134. assert arr2.prod() == 6
  135. assert_equal(arr2.prod(0), np.array([6]))
  136. assert_equal(arr2.prod(1), np.array([1, 2, 3]))
  137. assert arr2.prod((0, 1)) == 6
  138. arr3 = np.array([[[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]])
  139. assert arr3.prod() == 304845.556640625
  140. assert_equal(arr3.prod(0), np.array([[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]))
  141. assert_equal(arr3.prod(1), np.array([[[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]]]))
  142. assert_equal(arr3.prod(4), np.array([[[[13.125, 86.625, 268.125]]]]))
  143. assert_equal(arr3.prod((0, 3)), np.array([[[28.875, 73.125, 144.375]]]))
  144. # test array min
  145. a = np.array([1.0, 2.0, 3.0])
  146. assert math.isclose(a.min(), 1.0)
  147. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  148. assert arr1.min() == 1
  149. arr2 = np.array([[-1], [-2], [-3]])
  150. assert arr2.min() == -3
  151. arr3 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  152. assert arr3.min() == -5.5
  153. assert_equal(arr3.min(0), np.array([[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]))
  154. assert_equal(arr3.min(4), np.array([[[[-1.5, -3.5, -5.5]]]]))
  155. assert_equal(arr3.min((0, 3)), np.array([[[1.5, -5.5]]]))
  156. assert_equal(arr3.min((0, 4)), np.array([[[-1.5, -3.5, -5.5]]]))
  157. # test array max
  158. a = np.array([1.0, 2.0, 3.0])
  159. assert math.isclose(a.max(), 3.0)
  160. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  161. assert arr1.max() == 9
  162. arr2 = np.array([[-1], [-2], [-3]])
  163. assert arr2.max() == -1
  164. arr3 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  165. assert arr3.max() == 5.5
  166. assert_equal(arr3.max(0), np.array([[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]))
  167. assert_equal(arr3.max(4), np.array([[[[1.5, 3.5, 5.5]]]]))
  168. assert_equal(arr3.max((0, 3)), np.array([[[5.5, -1.5]]]))
  169. assert_equal(arr3.max((0, 4)), np.array([[[1.5, 3.5, 5.5]]]))
  170. # test array mean
  171. a = np.array([1.0, 2.0, 3.0])
  172. assert math.isclose(a.mean(), 2.0)
  173. arr = np.array([[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]])
  174. assert arr.mean() == 4.5
  175. assert_equal(arr.mean(0), np.array([[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]))
  176. assert_equal(arr.mean(1), np.array([[3.5, 4.5, 5.5]]))
  177. assert_equal(arr.mean(2), np.array([[2.5, 4.5, 6.5]]))
  178. # test array std
  179. a = np.array([1.0, 2.0, 3.0])
  180. assert math.isclose(a.std(), 0.816496580927726)
  181. arr = np.array([[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]])
  182. assert arr.std() == 1.8257418583505538
  183. assert_equal(arr.std(0), np.array([[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]))
  184. assert np.allclose(arr.std(1), np.array([[1.632993, 1.632993, 1.632993]]))
  185. assert np.allclose(arr.std(2), np.array([[0.81649658, 0.81649658, 0.81649658]]))
  186. # test array var
  187. a = np.array([1.0, 2.0, 3.0])
  188. assert math.isclose(a.var(), 0.6666666666666666)
  189. arr = np.array([[[1.5, 2.5, 3.5], [3.5, 4.5, 5.5], [5.5, 6.5, 7.5]]])
  190. assert arr.var() == 3.3333333333333335
  191. assert_equal(arr.var(0), np.array([[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]))
  192. assert np.allclose(arr.var(1), np.array([[2.66666667, 2.66666667, 2.66666667]]))
  193. assert np.allclose(arr.var(2), np.array([[0.66666667, 0.66666667, 0.66666667]]))
  194. # test array argmin
  195. a = np.array([3, 1, 2])
  196. assert a.argmin() == 1
  197. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  198. assert arr1.argmin() == 0
  199. arr2 = np.array([[-1], [-2], [-3]])
  200. assert arr2.argmin() == 2
  201. assert_equal(arr2.argmin(0), np.array([2]))
  202. arr3 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  203. assert arr3.argmin() == 5
  204. assert_equal(arr3.argmin(0), np.array([[[[0, 0], [0, 0], [0, 0]]]]))
  205. assert_equal(arr3.argmin(1), np.array([[[[0, 0], [0, 0], [0, 0]]]]))
  206. assert_equal(arr3.argmin(2), np.array([[[[0, 0], [0, 0], [0, 0]]]]))
  207. assert_equal(arr3.argmin(3), np.array([[[[0, 2]]]]))
  208. assert_equal(arr3.argmin(4), np.array([[[[1, 1, 1]]]]))
  209. # test array argmax
  210. a = np.array([3, 1, 2])
  211. assert a.argmax() == 0
  212. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  213. assert arr1.argmax() == 8
  214. arr2 = np.array([[-1], [-2], [-3]])
  215. assert arr2.argmax() == 0
  216. assert_equal(arr2.argmax(0), np.array([0]))
  217. arr3 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  218. assert arr3.argmax() == 4
  219. assert_equal(arr3.argmax(0), np.array([[[[0, 0], [0, 0], [0, 0]]]]))
  220. assert_equal(arr3.argmax(1), np.array([[[[0, 0], [0, 0], [0, 0]]]]))
  221. assert_equal(arr3.argmax(2), np.array([[[[0, 0], [0, 0], [0, 0]]]]))
  222. assert_equal(arr3.argmax(3), np.array([[[[2, 0]]]]))
  223. assert_equal(arr3.argmax(4), np.array([[[[0, 0, 0]]]]))
  224. # test array argsort
  225. a = np.array([3, 1, 2])
  226. assert_equal(a.argsort(), np.array([1, 2, 0]))
  227. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  228. assert_equal(arr1.argsort(), np.array([0, 1, 2, 3, 4, 5, 6, 7, 8]))
  229. arr2 = np.array([9, 8, 7, 6, 5, 4, 3, 2, 1])
  230. assert_equal(arr2.argsort(), np.array([8, 7, 6, 5, 4, 3, 2, 1, 0]))
  231. arr3 = np.array([[-1], [-2], [-3]])
  232. assert_equal(arr3.argsort(), np.array([[0], [0], [0]]))
  233. assert_equal(arr3.argsort(0), np.array([[2], [1], [0]]))
  234. arr4 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  235. assert_equal(arr4.argsort(), np.array([[[[[1, 0], [1, 0], [1, 0]]]]]))
  236. assert_equal(arr4.argsort(0), np.array([[[[[0, 0], [0, 0], [0, 0]]]]]))
  237. assert_equal(arr4.argsort(1), np.array([[[[[0, 0], [0, 0], [0, 0]]]]]))
  238. assert_equal(arr4.argsort(2), np.array([[[[[0, 0], [0, 0], [0, 0]]]]]))
  239. assert_equal(arr4.argsort(3), np.array([[[[[0, 2], [1, 1], [2, 0]]]]]))
  240. assert_equal(arr4.argsort(4), np.array([[[[[1, 0], [1, 0], [1, 0]]]]]))
  241. # test array sort
  242. a = np.array([3, 1, 2])
  243. a.sort()
  244. assert_equal(a, np.array([1, 2, 3]))
  245. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  246. arr1.sort()
  247. assert_equal(arr1, np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]))
  248. arr2 = np.array([9, 8, 7, 6, 5, 4, 3, 2, 1])
  249. arr2.sort()
  250. assert_equal(arr2, np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]))
  251. arr3 = np.array([[-1], [-2], [-3]])
  252. arr3.sort(0)
  253. assert_equal(arr3, np.array([[-3], [-2], [-1]]))
  254. arr4 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  255. arr4.sort(3)
  256. assert_equal(arr4, np.array([[[[[1.5, -5.5], [3.5, -3.5], [5.5, -1.5]]]]]))
  257. # test array reshape
  258. a = np.array([[1, 2], [3, 4]])
  259. assert_equal(a.reshape([1, 4]), np.array([[1, 2, 3, 4]]))
  260. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  261. assert_equal(arr1.reshape([3, 3]), np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]))
  262. arr2 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
  263. assert_equal(arr2.reshape([9]), np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]))
  264. arr3 = np.array([1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5])
  265. assert_equal(arr3.reshape([3, 4]), np.array([[1.5, 2.5, 3.5, 4.5], [5.5, 6.5, 7.5, 8.5], [9.5, 10.5, 11.5, 12.5]]))
  266. assert_equal(arr3.reshape([2, 3, 2]), np.array([[[1.5, 2.5], [3.5, 4.5], [5.5, 6.5]],
  267. [[7.5, 8.5], [9.5, 10.5], [11.5, 12.5]]]))
  268. assert_equal(arr3.reshape([1, 1, 2, 2, 3]), np.array([[[[[1.5, 2.5, 3.5], [4.5, 5.5, 6.5]],
  269. [[7.5, 8.5, 9.5], [10.5, 11.5, 12.5]]]]]))
  270. # test array resize
  271. a = np.array([[1, 2], [3, 4]])
  272. a.resize([1, 4])
  273. assert_equal(a, np.array([[1, 2, 3, 4]]))
  274. # test array squeeze
  275. a = np.array([[1, 2, 3, 4]])
  276. assert_equal(a.squeeze(), np.array([1, 2, 3, 4]))
  277. arr1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  278. assert_equal(arr1.squeeze(), np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]))
  279. arr2 = np.array([[-1], [-2], [-3]])
  280. assert_equal(arr2.squeeze(), np.array([-1, -2, -3]))
  281. arr3 = np.array([[[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]])
  282. assert_equal(arr3.squeeze(), np.array([[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]))
  283. assert_equal(arr3.squeeze(0), np.array([[[[1.5, -1.5], [3.5, -3.5], [5.5, -5.5]]]]))
  284. # test array transpose
  285. a = np.array([[1, 2, 3, 4]])
  286. assert_equal(a.transpose(), np.array([[1], [2], [3], [4]]))
  287. arr1 = np.array([[1], [2], [3]])
  288. assert_equal(arr1.transpose(), np.array([[1, 2, 3]]))
  289. arr2 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
  290. assert_equal(arr2.transpose(), np.array([[1, 4, 7], [2, 5, 8], [3, 6, 9]]))
  291. assert_equal(arr2.transpose(0, 1), np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]))
  292. assert_equal(arr2.transpose(1, 0), np.array([[1, 4, 7], [2, 5, 8], [3, 6, 9]]))
  293. arr3 = np.array([[[[[1.5, -5.5], [3.5, -3.5], [5.5, -1.5]]]]])
  294. assert_equal(arr3.transpose(), np.array([[[[[1.5]]], [[[3.5]]], [[[5.5]]]],
  295. [[[[-5.5]]], [[[-3.5]]], [[[-1.5]]]]]))
  296. assert_equal(arr3.transpose(0, 1, 2, 3, 4), np.array([[[[[1.5, -5.5],
  297. [3.5, -3.5],
  298. [5.5, -1.5]]]]]))
  299. assert_equal(arr3.transpose((3, 4, 0, 2, 1)), np.array([[[[[1.5]]], [[[-5.5]]]],
  300. [[[[3.5]]], [[[-3.5]]]],
  301. [[[[5.5]]], [[[-1.5]]]]]))
  302. # test array repeat
  303. a = np.array([[1, 2, 3, 4]])
  304. assert_equal(a.repeat(2), np.array([[1, 1, 2, 2, 3, 3, 4, 4]]))
  305. arr1 = np.array([[1, 2], [3, 4]])
  306. assert_equal(arr1.repeat(2, 0), np.array([[1, 2], [1, 2], [3, 4], [3, 4]]))
  307. arr2 = np.array([[[[1, 2, 3], [4, 5, 6]]]])
  308. assert_equal(arr2.repeat(4, 3), np.array([[[[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3],
  309. [4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6]]]]))
  310. assert_equal(arr2.repeat([1, 2, 3], 3), np.array([[[[1, 2, 2, 3, 3, 3],
  311. [4, 5, 5, 6, 6, 6]]]]))
  312. # test array flatten
  313. a = np.array([[1, 2, 3, 4]])
  314. assert_equal(a.transpose().flatten(), np.array([1, 2, 3, 4]))
  315. assert_equal(a.repeat(2), np.array([[1, 1, 2, 2, 3, 3, 4, 4]]))
  316. arr1 = np.array([[1, 2], [3, 4]])
  317. assert_equal(arr1.flatten(), np.array([1, 2, 3, 4]))
  318. arr2 = np.array([[[1., 2.], [3., 4.], [5., 6.]], [[7., 8.], [9., 10.], [11., 12.]]])
  319. assert_equal(arr2.flatten(), np.array([1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.]))
  320. # test array copy
  321. a = np.array([1.1, 2.2, 3.3])
  322. assert_equal(a.copy(), a)
  323. arr1 = np.array([[1, 2], [3, 4]])
  324. arr2 = arr1
  325. arr3 = arr1.copy()
  326. arr1[0] = [10, 20]
  327. assert_equal(arr2, np.array([[10, 20], [3, 4]])) # Shallow copy
  328. assert_equal(arr3, np.array([[1, 2], [3, 4]])) # Deep copy
  329. # test array astype
  330. a = np.array([1.1, 2.2, 3.3])
  331. assert_equal(a.astype(np.int32), np.array([1, 2, 3]))
  332. arr1 = np.array([1, 2, 2.5])
  333. assert_equal(arr1.astype('int_'), np.array([1, 2, 2]))
  334. assert arr1.dtype == 'float64'
  335. assert_equal(arr1.astype('float64'), np.array([1.0, 2.0, 2.5]))
  336. assert arr1.dtype == 'float64'
  337. # test array round
  338. a = np.array([1.1, 2.2, 3.3])
  339. assert_equal(a.round(), np.array([1., 2., 3.]))
  340. assert_equal(np.round(np.array([40, 20, 30, 10])), np.array([40, 20, 30, 10]))
  341. assert_equal(np.round(np.array([0.37, 1.64])), np.array([0.0, 2.0]))
  342. assert_equal(np.round(np.array([.5, 1.5, 2.5, 3.5, 4.5])),np.array([1., 2., 3., 4., 5.]))
  343. # test array floor
  344. assert_equal(np.floor(np.array([40, 20, 30, 10])), np.array([40, 20, 30, 10]))
  345. assert_equal(np.floor(np.array([0.37, 1.64])), np.array([0., 1.]))
  346. assert_equal(np.floor(np.array([.5, 1.5, 2.5, 3.5, 4.5])), np.array([0., 1., 2., 3., 4.]))
  347. # test array ceil
  348. assert_equal(np.ceil(np.array([40, 20, 30, 10])), np.array([40, 20, 30, 10]))
  349. assert_equal(np.ceil(np.array([0.37, 1.64])), np.array([1., 2.]))
  350. assert_equal(np.ceil(np.array([.5, 1.5, 2.5, 3.5, 4.5])), np.array([1., 2., 3., 4., 5.]))
  351. # test array abs
  352. assert_equal(np.abs(np.array([[-1.2, 1.2], [-10, 10]])), np.array([[1.2, 1.2], [10, 10]]))
  353. assert_equal(np.abs(np.linspace(0, -10)), np.linspace(0, 10))
  354. # test __repr__ __str__
  355. a = np.array([[1, 2], [3, 4]])
  356. assert repr(a) == '''
  357. array([[1, 2],
  358. [3, 4]])
  359. '''.strip()
  360. # test array add
  361. a = np.ones([2, 3])
  362. assert_equal(a + 1, np.array([[2., 2., 2.], [2., 2., 2.]]))
  363. arr1 = np.array([1, 2, 3, 4, 5])
  364. assert_equal(arr1 + 1, np.array([2, 3, 4, 5, 6]))
  365. assert_equal(arr1 + 2.5, np.array([3.5, 4.5, 5.5, 6.5, 7.5]))
  366. assert_equal(1 + arr1, np.array([2, 3, 4, 5, 6]))
  367. assert_equal(2.5 + arr1, np.array([3.5, 4.5, 5.5, 6.5, 7.5]))
  368. assert_equal(arr1 + arr1, np.array([2, 4, 6, 8, 10]))
  369. assert_equal(arr1 + np.array([-1, -2, -3, -4, -5]), np.array([0, 0, 0, 0, 0]))
  370. arr2 = np.array([[1.33, 2.66], [3.99, 5.33]])
  371. assert_equal(arr2 + 1, np.array([[2.33, 3.66], [4.99, 6.33]]))
  372. assert_equal(arr2 + 1.66, np.array([[2.99, 4.32], [5.65, 6.99]]))
  373. assert_equal(1 + arr2, np.array([[2.33, 3.66], [4.99, 6.33]]))
  374. assert_equal(1.66 + arr2, np.array([[2.99, 4.32], [5.65, 6.99]]))
  375. assert_equal(arr2 + arr2, np.array([[2.66, 5.32], [7.98, 10.66]]))
  376. array1 = np.ones([2, 2, 2, 2, 2])
  377. array2 = np.array([[[[[1.1, 1.2], [1.3, 1.4]], [[1.5, 1.6], [1.7, 1.8]]],
  378. [[[2.1, 2.2], [2.3, 2.4]], [[2.5, 2.6], [2.7, 2.8]]]],
  379. [[[[3.1, 3.2], [3.3, 3.4]], [[3.5, 3.6], [3.7, 3.8]]],
  380. [[[4.1, 4.2], [4.3, 4.4]], [[4.5, 4.6], [4.7, 4.8]]]]])
  381. assert_equal(array1 + array2, np.array([[[[[2.1, 2.2], [2.3, 2.4]],
  382. [[2.5, 2.6], [2.7, 2.8]]],
  383. [[[3.1, 3.2], [3.3, 3.4]],
  384. [[3.5, 3.6], [3.7, 3.8]]]],
  385. [[[[4.1, 4.2], [4.3, 4.4]],
  386. [[4.5, 4.6], [4.7, 4.8]]],
  387. [[[5.1, 5.2], [5.3, 5.4]],
  388. [[5.5, 5.6], [5.7, 5.8]]]]]))
  389. # test array sub
  390. a = np.ones([2, 3])
  391. assert_equal(a - 1, np.array([[0., 0., 0.], [0., 0., 0.]]))
  392. arr1 = np.array([1, 2, 3, 4, 5])
  393. assert_equal(arr1 - 1, np.array([0, 1, 2, 3, 4]))
  394. assert_equal(arr1 - 2.5, np.array([-1.5, -0.5, 0.5, 1.5, 2.5]))
  395. assert_equal(1 - arr1, np.array([0, -1, -2, -3, -4]))
  396. assert_equal(2.5 - arr1, np.array([1.5, 0.5, -0.5, -1.5, -2.5]))
  397. assert_equal(arr1 - arr1, np.array([0, 0, 0, 0, 0]))
  398. arr2 = np.array([[1.33, 2.66], [3.99, 5.33]])
  399. assert np.allclose(arr2 - 1, np.array([[0.33, 1.66], [2.99, 4.33]]))
  400. assert np.allclose(arr2 - 1.66, np.array([[-0.33, 1.], [2.33, 3.67]]))
  401. assert np.allclose(1 - arr2, np.array([[-0.33, -1.66], [-2.99, -4.33]]))
  402. assert np.allclose(1.66 - arr2, np.array([[0.33, -1.], [-2.33, -3.67]]))
  403. assert_equal(arr2 - arr2, np.array([[0, 0], [0, 0]]))
  404. array1 = np.ones([2, 2, 2, 2, 2])
  405. array2 = np.array([[[[[1.1, 1.2], [1.3, 1.4]], [[1.5, 1.6], [1.7, 1.8]]],
  406. [[[2.1, 2.2], [2.3, 2.4]], [[2.5, 2.6], [2.7, 2.8]]]],
  407. [[[[3.1, 3.2], [3.3, 3.4]], [[3.5, 3.6], [3.7, 3.8]]],
  408. [[[4.1, 4.2], [4.3, 4.4]], [[4.5, 4.6], [4.7, 4.8]]]]])
  409. assert np.allclose(array1 - array2, np.array([[[[[-0.1, -0.2], [-0.3, -0.4]],
  410. [[-0.5, -0.6], [-0.7, -0.8]]],
  411. [[[-1.1, -1.2], [-1.3, -1.4]],
  412. [[-1.5, -1.6], [-1.7, -1.8]]]],
  413. [[[[-2.1, -2.2], [-2.3, -2.4]],
  414. [[-2.5, -2.6], [-2.7, -2.8]]],
  415. [[[-3.1, -3.2], [-3.3, -3.4]],
  416. [[-3.5, -3.6], [-3.7, -3.8]]]]]))
  417. # test array mul
  418. a = np.ones([2, 3])
  419. assert_equal(a * 2, np.array([[2., 2., 2.], [2., 2., 2.]]))
  420. arr1 = np.array([1, 2, 3, 4, 5])
  421. assert_equal(arr1 * 2, np.array([2, 4, 6, 8, 10]))
  422. assert_equal(arr1 * 2.5, np.array([2.5, 5.0, 7.5, 10.0, 12.5]))
  423. assert_equal(4 * arr1, np.array([4, 8, 12, 16, 20]))
  424. assert_equal(5.0 * arr1, np.array([5.0, 10.0, 15.0, 20.0, 25.0]))
  425. assert_equal(arr1 * arr1, np.array([1, 4, 9, 16, 25]))
  426. arr2 = np.array([[1.33, 2.66], [3.99, 5.33]])
  427. assert np.allclose(arr2 * 2, np.array([[2.66, 5.32], [7.98, 10.66]]))
  428. assert np.allclose(arr2 * 2.5, np.array([[3.325, 6.65], [9.975, 13.325]]))
  429. assert np.allclose(4 * arr2, np.array([[5.32, 10.64], [15.96, 21.32]]))
  430. assert np.allclose(5.0 * arr2, np.array([[6.65, 13.3], [19.95, 26.65]]))
  431. assert np.allclose(arr2 * arr2, np.array([[1.7689, 7.0756], [15.9201, 28.4089]]))
  432. # test array div
  433. a = np.ones([2, 3])
  434. assert_equal(a / 2, np.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]))
  435. arr1 = np.array([1, 2, 3, 4, 5])
  436. assert np.allclose(arr1 / 2, np.array([0.5, 1.0, 1.5, 2.0, 2.5]))
  437. assert np.allclose(arr1 / 2.5, np.array([0.4, 0.8, 1.2, 1.6, 2.0]))
  438. assert np.allclose(4 / arr1, np.array([4.0, 2.0, 1.3333333333333333, 1.0, 0.8]))
  439. assert np.allclose(5.0 / arr1, np.array([5.0, 2.5, 1.6666666666666667, 1.25, 1.0]))
  440. arr2 = np.array([[1.33, 2.66], [3.99, 5.33]])
  441. assert np.allclose(arr2 / 2, np.array([[0.665, 1.33], [1.995, 2.665]]))
  442. assert np.allclose(arr2 / 1.33, np.array([[1.0, 2.0], [3.0, 4.007519]]))
  443. assert np.allclose(4 / arr2, np.array([[3.0075188, 1.5037594], [1.00250627, 0.75046904]]))
  444. assert np.allclose(1.33 / arr2, np.array([[1.0, 0.5], [0.33333333, 0.24953096]]))
  445. assert np.allclose(arr2 / arr2, np.array([[1.0, 1.0], [1.0, 1.0]]))
  446. # test array matmul
  447. a = np.ones([2, 3])
  448. assert_equal(a @ np.ones([3, 4]), np.ones([2, 4]) * 3)
  449. arr1 = np.array([[1, 2], [3, 4]])
  450. arr2 = np.array([[5, 6], [7, 8]])
  451. assert_equal(arr1 @ arr2, np.array([[19, 22], [43, 50]]))
  452. assert_equal(arr2 @ arr1, np.array([[23, 34], [31, 46]]))
  453. arr3 = np.array([[1.0, 2.0], [2.0, 3.0], [4.0, 5.0]])
  454. arr4 = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
  455. assert_equal(arr3 @ arr4, np.array([[9.0, 12.0, 15.0],
  456. [14.0, 19.0, 24.0],
  457. [24.0, 33.0, 42.0]]))
  458. assert_equal(arr4 @ arr3, np.array([[17.0, 23.0],
  459. [38.0, 53.0]]))
  460. # test array len
  461. arr1 = np.array([1, 2, 3, 4, 5])
  462. assert len(arr1) == 5
  463. arr2 = np.array([[1, 2], [3, 4], [5, 6]])
  464. assert len(arr2) == 3
  465. arr3 = np.array([[1, 2], [3, 4]])
  466. assert len(arr3) == 2
  467. arr4 = np.array([[[[1.5, -1.5, 2.5], [3.5, -3.5, 4.5], [5.5, -5.5, 6.5]]]])
  468. assert len(arr4) == 1
  469. # test array pow
  470. assert_equal(np.ones([2, 3]) ** 2, np.array([[1., 1., 1.], [1., 1., 1.]]))
  471. a = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
  472. b = np.array([[[2, 2], [2, 2]], [[3, 3], [3, 3]]])
  473. assert np.allclose(a ** b, np.array([[[1, 4], [9, 16]], [[125, 216], [343, 512]]]))
  474. arr1 = np.array([1, 2, 3, 4, 5])
  475. assert_equal(arr1 ** 2, np.array([1, 4, 9, 16, 25]))
  476. assert np.allclose(arr1 ** 2.5, np.array([1.0, 5.656854, 15.588457, 32.0, 55.901699]))
  477. assert_equal(2 ** arr1, np.array([2, 4, 8, 16, 32]))
  478. assert np.allclose(2.5 ** arr1, np.array([2.5, 6.25, 15.625, 39.0625, 97.65625]))
  479. arr2 = np.array([[1.33, 2.66], [3.99, 5.33]])
  480. assert np.allclose(arr2 ** 2, np.array([[1.7689, 7.0756], [15.9201, 28.4089]]))
  481. assert np.allclose(arr2 ** 2.5, np.array([[2.039995, 11.53995437], [31.80037484, 65.58703869]]))
  482. assert np.allclose(4 ** arr2, np.array([[6.32033049, 39.94657756],
  483. [252.47557235, 1618.0046067]]))
  484. assert np.allclose(5.0 ** arr2, np.array([[8.50413422, 72.32029875],
  485. [615.0215271, 5315.08388464]]))
  486. # test array binary
  487. a = np.array([[1, 0], [0, 1]], dtype=np.bool_)
  488. '''
  489. array([[ True, False],
  490. [False, True]])
  491. '''
  492. assert_equal(a & True, np.array([[1, 0], [0, 1]], dtype=np.bool_))
  493. assert_equal(a | True, np.array([[1, 1], [1, 1]], dtype=np.bool_))
  494. assert_equal(a ^ True, np.array([[0, 1], [1, 0]], dtype=np.bool_))
  495. assert_equal(~a, np.array([[False, True], [ True, False]]))
  496. # test array trigonometry
  497. arr1 = np.array([np.pi / 6, np.pi / 4, np.pi / 3, np.pi / 2, np.pi])
  498. assert np.allclose(np.sin(arr1), np.array([0.5, 0.707107, 0.866025, 1.0, 0.0]))
  499. assert np.allclose(np.cos(arr1), np.array([0.866025, 0.707107, 0.5, 0.0, -1.0]))
  500. assert np.allclose(np.tan(arr1), np.array([0.57735, 1.0, 1.73205, np.inf, 0.0]))
  501. arr2 = np.array([0.5, 0.707107, 0.866025, 1.0, 0.0])
  502. assert np.allclose(np.arcsin(arr2), np.array([np.pi / 6, np.pi / 4, np.pi / 3, np.pi / 2, 0.0]))
  503. assert np.allclose(np.arccos(arr2), np.array([np.pi / 3, np.pi / 4, np.pi / 6, 0.0, np.pi / 2]))
  504. assert np.allclose(np.arctan(arr2), np.array([0.463648, 0.61548, 0.713724, 0.785398, 0.0]))
  505. # test array exponential
  506. arr1 = np.array([0.0, 1.0, 2.0, 3.0, 4.0])
  507. assert np.allclose(np.exp(arr1), np.array([1.0, 2.718282, 7.389056, 20.085537, 54.598150]))
  508. assert np.allclose(np.log(arr1), np.array([-np.inf, 0.0, 0.693147, 1.098612, 1.386294]))
  509. assert np.allclose(np.log2(arr1), np.array([-np.inf, 0.0, 1.0, 1.584963, 2.0]))
  510. assert np.allclose(np.log10(arr1), np.array([-np.inf, 0.0, 0.30103, 0.477121, 0.60206]))
  511. # test array getitem
  512. arr1 = np.arange(30).reshape([3, 2, 5])
  513. assert_equal(arr1[0], np.array([[0, 1, 2, 3, 4],
  514. [5, 6, 7, 8, 9]]))
  515. assert_equal(arr1[1], np.array([[10, 11, 12, 13, 14],
  516. [15, 16, 17, 18, 19]]))
  517. assert_equal(arr1[2], np.array([[20, 21, 22, 23, 24],
  518. [25, 26, 27, 28, 29]]))
  519. assert_equal(arr1[-1], np.array([[20, 21, 22, 23, 24],
  520. [25, 26, 27, 28, 29]]))
  521. assert_equal(arr1[-2], np.array([[10, 11, 12, 13, 14],
  522. [15, 16, 17, 18, 19]]))
  523. assert_equal(arr1[0, 0], np.array([0, 1, 2, 3, 4]))
  524. assert_equal(arr1[1, 1], np.array([15, 16, 17, 18, 19]))
  525. assert_equal(arr1[2, 0], np.array([20, 21, 22, 23, 24]))
  526. assert_equal(arr1[(0,)], np.array([[0, 1, 2, 3, 4],
  527. [5, 6, 7, 8, 9]]))
  528. assert_equal(arr1[(0, 1)], np.array([5, 6, 7, 8, 9]))
  529. assert_equal(arr1[(1, 0)], np.array([10, 11, 12, 13, 14]))
  530. assert_equal(arr1[(-1,)], np.array([[20, 21, 22, 23, 24],
  531. [25, 26, 27, 28, 29]]))
  532. assert_equal(arr1[(-3, -1)], np.array([5, 6, 7, 8, 9]))
  533. assert arr1[(0, 1, 2)] == 7
  534. assert arr1[(2, 1, 0)] == 25
  535. assert arr1[(-3, -2, -1)] == 4
  536. assert arr1[(-1, -2, -3)] == 22
  537. assert_equal(arr1[[0, ]], np.array([[[0, 1, 2, 3, 4],
  538. [5, 6, 7, 8, 9]]]))
  539. assert_equal(arr1[[0, 1]], np.array([[[0, 1, 2, 3, 4],
  540. [5, 6, 7, 8, 9]],
  541. [[10, 11, 12, 13, 14],
  542. [15, 16, 17, 18, 19]]]))
  543. assert_equal(arr1[[1, 2]], np.array([[[10, 11, 12, 13, 14],
  544. [15, 16, 17, 18, 19]],
  545. [[20, 21, 22, 23, 24],
  546. [25, 26, 27, 28, 29]]]))
  547. assert_equal(arr1[[2, 1]], np.array([[[20, 21, 22, 23, 24],
  548. [25, 26, 27, 28, 29]],
  549. [[10, 11, 12, 13, 14],
  550. [15, 16, 17, 18, 19]]]))
  551. assert_equal(arr1[[2, 2]], np.array([[[20, 21, 22, 23, 24],
  552. [25, 26, 27, 28, 29]],
  553. [[20, 21, 22, 23, 24],
  554. [25, 26, 27, 28, 29]]]))
  555. assert_equal(arr1[[0, 1, 2]], np.array([[[0, 1, 2, 3, 4],
  556. [5, 6, 7, 8, 9]],
  557. [[10, 11, 12, 13, 14],
  558. [15, 16, 17, 18, 19]],
  559. [[20, 21, 22, 23, 24],
  560. [25, 26, 27, 28, 29]]]))
  561. assert_equal(arr1[[2, 1, 0]], np.array([[[20, 21, 22, 23, 24],
  562. [25, 26, 27, 28, 29]],
  563. [[10, 11, 12, 13, 14],
  564. [15, 16, 17, 18, 19]],
  565. [[0, 1, 2, 3, 4],
  566. [5, 6, 7, 8, 9]]]))
  567. assert_equal(arr1[0:1], np.array([[[0, 1, 2, 3, 4],
  568. [5, 6, 7, 8, 9]]]))
  569. assert_equal(arr1[2:3], np.array([[[20, 21, 22, 23, 24],
  570. [25, 26, 27, 28, 29]]]))
  571. assert_equal(arr1[0:2], np.array([[[0, 1, 2, 3, 4],
  572. [5, 6, 7, 8, 9]],
  573. [[10, 11, 12, 13, 14],
  574. [15, 16, 17, 18, 19]]]))
  575. assert_equal(arr1[1:3], np.array([[[10, 11, 12, 13, 14],
  576. [15, 16, 17, 18, 19]],
  577. [[20, 21, 22, 23, 24],
  578. [25, 26, 27, 28, 29]]]))
  579. assert_equal(arr1[1:3:3], np.array([[[10, 11, 12, 13, 14],
  580. [15, 16, 17, 18, 19]]]))
  581. assert_equal(arr1[0:3:2], np.array([[[0, 1, 2, 3, 4],
  582. [5, 6, 7, 8, 9]],
  583. [[20, 21, 22, 23, 24],
  584. [25, 26, 27, 28, 29]]]))
  585. assert_equal(arr1[1:], np.array([[[10, 11, 12, 13, 14],
  586. [15, 16, 17, 18, 19]],
  587. [[20, 21, 22, 23, 24],
  588. [25, 26, 27, 28, 29]]]))
  589. assert_equal(arr1[:2], np.array([[[0, 1, 2, 3, 4],
  590. [5, 6, 7, 8, 9]],
  591. [[10, 11, 12, 13, 14],
  592. [15, 16, 17, 18, 19]]]))
  593. assert_equal(arr1[::2], np.array([[[0, 1, 2, 3, 4],
  594. [5, 6, 7, 8, 9]],
  595. [[20, 21, 22, 23, 24],
  596. [25, 26, 27, 28, 29]]]))
  597. assert_equal(arr1[-2:3:1], np.array([[[10, 11, 12, 13, 14],
  598. [15, 16, 17, 18, 19]],
  599. [[20, 21, 22, 23, 24],
  600. [25, 26, 27, 28, 29]]]))
  601. assert_equal(arr1[3::-2], np.array([[[20, 21, 22, 23, 24],
  602. [25, 26, 27, 28, 29]],
  603. [[0, 1, 2, 3, 4],
  604. [5, 6, 7, 8, 9]]]))
  605. assert_equal(arr1[::-1], np.array([[[20, 21, 22, 23, 24],
  606. [25, 26, 27, 28, 29]],
  607. [[10, 11, 12, 13, 14],
  608. [15, 16, 17, 18, 19]],
  609. [[0, 1, 2, 3, 4],
  610. [5, 6, 7, 8, 9]]]))
  611. assert_equal(arr1[::], np.array([[[0, 1, 2, 3, 4],
  612. [5, 6, 7, 8, 9]],
  613. [[10, 11, 12, 13, 14],
  614. [15, 16, 17, 18, 19]],
  615. [[20, 21, 22, 23, 24],
  616. [25, 26, 27, 28, 29]]]))
  617. # test array setitem
  618. arr1 = np.arange(30).reshape([3, 2, 5])
  619. arr1[0] = 10
  620. assert_equal(arr1[0], np.array([[10, 10, 10, 10, 10],
  621. [10, 10, 10, 10, 10]]))
  622. arr1[1] = [1, 2, 3, 4, 5]
  623. assert_equal(arr1[1], np.array([[1, 2, 3, 4, 5],
  624. [1, 2, 3, 4, 5]]))
  625. arr1[2] = [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]
  626. assert_equal(arr1[2], np.array([[1, 2, 3, 4, 5],
  627. [6, 7, 8, 9, 10]]))
  628. arr1[-1] = 0
  629. assert_equal(arr1[-1], np.array([[0, 0, 0, 0, 0],
  630. [0, 0, 0, 0, 0]]))
  631. arr1[0, 0] = 5
  632. assert_equal(arr1[0, 0], np.array([5, 5, 5, 5, 5]))
  633. arr1[1, 1] = [1, 2, 3, 4, 5]
  634. assert_equal(arr1[1, 1], np.array([1, 2, 3, 4, 5]))
  635. arr1[2, 0] = [2.5]
  636. assert_equal(arr1[2, 0], np.array([2, 2, 2, 2, 2]))
  637. arr1[(0,)] = 10.5
  638. assert_equal(arr1[(0,)], np.array([[10, 10, 10, 10, 10],
  639. [10, 10, 10, 10, 10]]))
  640. arr1[(0, 1)] = 0
  641. assert_equal(arr1[(0, 1)], np.array([0, 0, 0, 0, 0]))
  642. arr1[(-3, -1)] = 1
  643. assert_equal(arr1[(-3, -1)], np.array([1, 1, 1, 1, 1]))
  644. arr1[(-1, -2, -3)] = 3.14159
  645. assert arr1[(-1, -2, -3)] == 3
  646. arr1[[0, ]] = 0
  647. assert_equal(arr1[[0, ]], np.array([[[0, 0, 0, 0, 0],
  648. [0, 0, 0, 0, 0]]]))
  649. arr1[[0, 1]] = 1
  650. assert_equal(arr1[[0, 1]], np.array([[[1, 1, 1, 1, 1],
  651. [1, 1, 1, 1, 1]],
  652. [[1, 1, 1, 1, 1],
  653. [1, 1, 1, 1, 1]]]))
  654. arr1[[2, 2]] = [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]
  655. assert_equal(arr1[[2, 2]], np.array([[[1, 2, 3, 4, 5],
  656. [6, 7, 8, 9, 10]],
  657. [[1, 2, 3, 4, 5],
  658. [6, 7, 8, 9, 10]]]))
  659. arr1[0:1] = 0
  660. assert_equal(arr1[0:1], np.array([[[0, 0, 0, 0, 0],
  661. [0, 0, 0, 0, 0]]]))
  662. arr1[2:3] = 1
  663. assert_equal(arr1[2:3], np.array([[[1, 1, 1, 1, 1],
  664. [1, 1, 1, 1, 1]]]))
  665. arr1[::2] = [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]
  666. assert_equal(arr1[::2], np.array([[[1, 2, 3, 4, 5],
  667. [6, 7, 8, 9, 10]],
  668. [[1, 2, 3, 4, 5],
  669. [6, 7, 8, 9, 10]]]))
  670. arr1[-2:3:1] = [[[1, 2, 3, 4, 5],
  671. [6, 7, 8, 9, 10]],
  672. [[11, 12, 13, 14, 15],
  673. [16, 17, 18, 19, 20]]]
  674. assert_equal(arr1[-2:3:1], np.array([[[1, 2, 3, 4, 5],
  675. [6, 7, 8, 9, 10]],
  676. [[11, 12, 13, 14, 15],
  677. [16, 17, 18, 19, 20]]]))