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  1. Top 3 lines
  2. #1: internals/blocks.py:698: 1129.3 KiB
  3. values = values.copy()
  4. #2: internals/managers.py:1848: 1129.3 KiB
  5. stacked = np.empty(shape, dtype=dtype)
  6. #3: <__array_function__ internals>:6: 809.8 KiB
  7. 386 other: 537.2 KiB
  8. Total allocated size: 3605.6 KiB
  9. df size 1613.0 KiB
  10. 0 ##################
  11. Top 3 lines
  12. #1: <__array_function__ internals>:6: 1456.1 KiB
  13. #2: internals/blocks.py:698: 1129.3 KiB
  14. values = values.copy()
  15. #3: internals/managers.py:1848: 1129.3 KiB
  16. stacked = np.empty(shape, dtype=dtype)
  17. 500 other: 1070.3 KiB
  18. Total allocated size: 4785.0 KiB
  19. df size 1613.0 KiB
  20. 1 ##################
  21. Top 3 lines
  22. #1: <__array_function__ internals>:6: 2101.7 KiB
  23. #2: internals/blocks.py:698: 1129.3 KiB
  24. values = values.copy()
  25. #3: internals/managers.py:1848: 1129.3 KiB
  26. stacked = np.empty(shape, dtype=dtype)
  27. 501 other: 1081.5 KiB
  28. Total allocated size: 5441.7 KiB
  29. df size 1613.0 KiB
  30. 2 ##################
  31. Top 3 lines
  32. #1: <__array_function__ internals>:6: 2747.3 KiB
  33. #2: internals/blocks.py:698: 1129.3 KiB
  34. values = values.copy()
  35. #3: internals/managers.py:1848: 1129.3 KiB
  36. stacked = np.empty(shape, dtype=dtype)
  37. 500 other: 1054.6 KiB
  38. Total allocated size: 6060.5 KiB
  39. df size 1613.0 KiB
  40. 3 ##################
  41. Top 3 lines
  42. #1: <__array_function__ internals>:6: 3392.9 KiB
  43. #2: internals/blocks.py:698: 1129.3 KiB
  44. values = values.copy()
  45. #3: internals/managers.py:1848: 1129.3 KiB
  46. stacked = np.empty(shape, dtype=dtype)
  47. 499 other: 1058.0 KiB
  48. Total allocated size: 6709.4 KiB
  49. df size 1613.0 KiB
  50. 4 ##################
  51. Top 3 lines
  52. #1: <__array_function__ internals>:6: 4038.5 KiB
  53. #2: internals/blocks.py:698: 1129.3 KiB
  54. values = values.copy()
  55. #3: internals/managers.py:1848: 1129.3 KiB
  56. stacked = np.empty(shape, dtype=dtype)
  57. 499 other: 1061.8 KiB
  58. Total allocated size: 7358.8 KiB
  59. df size 1613.0 KiB
  60. 5 ##################
  61. Top 3 lines
  62. #1: <__array_function__ internals>:6: 4684.1 KiB
  63. #2: internals/blocks.py:698: 1129.3 KiB
  64. values = values.copy()
  65. #3: internals/managers.py:1848: 1129.3 KiB
  66. stacked = np.empty(shape, dtype=dtype)
  67. 499 other: 1064.5 KiB
  68. Total allocated size: 8007.1 KiB
  69. df size 1613.0 KiB
  70. 6 ##################
  71. Top 3 lines
  72. #1: <__array_function__ internals>:6: 5329.7 KiB
  73. #2: internals/blocks.py:698: 1129.3 KiB
  74. values = values.copy()
  75. #3: internals/managers.py:1848: 1129.3 KiB
  76. stacked = np.empty(shape, dtype=dtype)
  77. 499 other: 1067.2 KiB
  78. Total allocated size: 8655.5 KiB
  79. df size 1613.0 KiB
  80. 7 ##################
  81. Top 3 lines
  82. #1: <__array_function__ internals>:6: 5975.2 KiB
  83. #2: internals/blocks.py:698: 1129.3 KiB
  84. values = values.copy()
  85. #3: internals/managers.py:1848: 1129.3 KiB
  86. stacked = np.empty(shape, dtype=dtype)
  87. 499 other: 1070.0 KiB
  88. Total allocated size: 9303.8 KiB
  89. df size 1613.0 KiB
  90. 8 ##################
  91. Top 3 lines
  92. #1: <__array_function__ internals>:6: 6620.8 KiB
  93. #2: internals/blocks.py:698: 1129.3 KiB
  94. values = values.copy()
  95. #3: internals/managers.py:1848: 1129.3 KiB
  96. stacked = np.empty(shape, dtype=dtype)
  97. 500 other: 1075.2 KiB
  98. Total allocated size: 9954.6 KiB
  99. df size 1613.0 KiB
  100. 9 ##################
  101. Top 3 lines
  102. #1: <__array_function__ internals>:6: 7266.4 KiB
  103. #2: internals/blocks.py:698: 1129.3 KiB
  104. values = values.copy()
  105. #3: internals/managers.py:1848: 1129.3 KiB
  106. stacked = np.empty(shape, dtype=dtype)
  107. 500 other: 1077.7 KiB
  108. Total allocated size: 10602.7 KiB
  109. df size 1613.0 KiB
  110. 10 ##################
  111. Top 3 lines
  112. #1: <__array_function__ internals>:6: 7912.0 KiB
  113. #2: internals/blocks.py:698: 1129.3 KiB
  114. values = values.copy()
  115. #3: internals/managers.py:1848: 1129.3 KiB
  116. stacked = np.empty(shape, dtype=dtype)
  117. 500 other: 1080.4 KiB
  118. Total allocated size: 11251.0 KiB
  119. df size 1613.0 KiB
  120. 11 ##################
  121. Top 3 lines
  122. #1: <__array_function__ internals>:6: 8557.6 KiB
  123. #2: internals/blocks.py:698: 1129.3 KiB
  124. values = values.copy()
  125. #3: internals/managers.py:1848: 1129.3 KiB
  126. stacked = np.empty(shape, dtype=dtype)
  127. 500 other: 1083.0 KiB
  128. Total allocated size: 11899.2 KiB
  129. df size 1613.0 KiB
  130. 12 ##################
  131. Top 3 lines
  132. #1: <__array_function__ internals>:6: 9203.2 KiB
  133. #2: internals/blocks.py:698: 1129.3 KiB
  134. values = values.copy()
  135. #3: internals/managers.py:1848: 1129.3 KiB
  136. stacked = np.empty(shape, dtype=dtype)
  137. 500 other: 1085.3 KiB
  138. Total allocated size: 12547.1 KiB
  139. df size 1613.0 KiB
  140. 13 ##################
  141. Top 3 lines
  142. #1: <__array_function__ internals>:6: 9848.8 KiB
  143. #2: internals/blocks.py:698: 1129.3 KiB
  144. values = values.copy()
  145. #3: internals/managers.py:1848: 1129.3 KiB
  146. stacked = np.empty(shape, dtype=dtype)
  147. 500 other: 1088.0 KiB
  148. Total allocated size: 13195.4 KiB
  149. df size 1613.0 KiB
  150. 14 ##################
  151. Top 3 lines
  152. #1: <__array_function__ internals>:6: 10494.4 KiB
  153. #2: internals/blocks.py:698: 1129.3 KiB
  154. values = values.copy()
  155. #3: internals/managers.py:1848: 1129.3 KiB
  156. stacked = np.empty(shape, dtype=dtype)
  157. 500 other: 1090.3 KiB
  158. Total allocated size: 13843.3 KiB
  159. df size 1613.0 KiB
  160. 15 ##################
  161. Top 3 lines
  162. #1: <__array_function__ internals>:6: 11140.0 KiB
  163. #2: internals/blocks.py:698: 1129.3 KiB
  164. values = values.copy()
  165. #3: internals/managers.py:1848: 1129.3 KiB
  166. stacked = np.empty(shape, dtype=dtype)
  167. 500 other: 1093.0 KiB
  168. Total allocated size: 14491.6 KiB
  169. df size 1613.0 KiB
  170. 16 ##################
  171. Top 3 lines
  172. #1: <__array_function__ internals>:6: 11785.6 KiB
  173. #2: internals/blocks.py:698: 1129.3 KiB
  174. values = values.copy()
  175. #3: internals/managers.py:1848: 1129.3 KiB
  176. stacked = np.empty(shape, dtype=dtype)
  177. 500 other: 1095.3 KiB
  178. Total allocated size: 15139.5 KiB
  179. df size 1613.0 KiB
  180. 17 ##################
  181. Top 3 lines
  182. #1: <__array_function__ internals>:6: 12431.4 KiB
  183. #2: internals/blocks.py:698: 1129.3 KiB
  184. values = values.copy()
  185. #3: internals/managers.py:1848: 1129.3 KiB
  186. stacked = np.empty(shape, dtype=dtype)
  187. 490 other: 1088.4 KiB
  188. Total allocated size: 15778.4 KiB
  189. df size 1613.0 KiB
  190. 18 ##################
  191. Top 3 lines
  192. #1: <__array_function__ internals>:6: 13077.0 KiB
  193. #2: internals/blocks.py:698: 1129.3 KiB
  194. values = values.copy()
  195. #3: internals/managers.py:1848: 1129.3 KiB
  196. stacked = np.empty(shape, dtype=dtype)
  197. 489 other: 1091.7 KiB
  198. Total allocated size: 16427.2 KiB
  199. df size 1613.0 KiB
  200. 19 ##################
  201. Top 3 lines
  202. #1: <__array_function__ internals>:6: 13722.6 KiB
  203. #2: internals/blocks.py:698: 1129.3 KiB
  204. values = values.copy()
  205. #3: internals/managers.py:1848: 1129.3 KiB
  206. stacked = np.empty(shape, dtype=dtype)
  207. 489 other: 1095.0 KiB
  208. Total allocated size: 17076.1 KiB
  209. df size 1613.0 KiB
  210. 20 ##################
  211. Top 3 lines
  212. #1: <__array_function__ internals>:6: 14368.2 KiB
  213. #2: internals/blocks.py:698: 1129.3 KiB
  214. values = values.copy()
  215. #3: internals/managers.py:1848: 1129.3 KiB
  216. stacked = np.empty(shape, dtype=dtype)
  217. 489 other: 1098.7 KiB
  218. Total allocated size: 17725.4 KiB
  219. df size 1613.0 KiB
  220. 21 ##################
  221. Top 3 lines
  222. #1: <__array_function__ internals>:6: 15013.8 KiB
  223. #2: internals/blocks.py:698: 1129.3 KiB
  224. values = values.copy()
  225. #3: internals/managers.py:1848: 1129.3 KiB
  226. stacked = np.empty(shape, dtype=dtype)
  227. 489 other: 1106.5 KiB
  228. Total allocated size: 18378.8 KiB
  229. df size 1613.0 KiB
  230. 22 ##################
  231. Top 3 lines
  232. #1: <__array_function__ internals>:6: 15659.3 KiB
  233. #2: internals/blocks.py:698: 1129.3 KiB
  234. values = values.copy()
  235. #3: internals/managers.py:1848: 1129.3 KiB
  236. stacked = np.empty(shape, dtype=dtype)
  237. 489 other: 1109.8 KiB
  238. Total allocated size: 19027.7 KiB
  239. df size 1613.0 KiB
  240. 23 ##################
  241. Top 3 lines
  242. #1: <__array_function__ internals>:6: 16304.9 KiB
  243. #2: internals/blocks.py:698: 1129.3 KiB
  244. values = values.copy()
  245. #3: internals/managers.py:1848: 1129.3 KiB
  246. stacked = np.empty(shape, dtype=dtype)
  247. 489 other: 1113.0 KiB
  248. Total allocated size: 19676.5 KiB
  249. df size 1613.0 KiB
  250. 24 ##################
  251. Top 3 lines
  252. #1: <__array_function__ internals>:6: 16950.5 KiB
  253. #2: internals/blocks.py:698: 1129.3 KiB
  254. values = values.copy()
  255. #3: internals/managers.py:1848: 1129.3 KiB
  256. stacked = np.empty(shape, dtype=dtype)
  257. 489 other: 1115.6 KiB
  258. Total allocated size: 20324.7 KiB
  259. df size 1613.0 KiB
  260. 25 ##################
  261. Top 3 lines
  262. #1: <__array_function__ internals>:6: 17596.1 KiB
  263. #2: internals/blocks.py:698: 1129.3 KiB
  264. values = values.copy()
  265. #3: internals/managers.py:1848: 1129.3 KiB
  266. stacked = np.empty(shape, dtype=dtype)
  267. 489 other: 1118.2 KiB
  268. Total allocated size: 20972.9 KiB
  269. df size 1613.0 KiB
  270. 26 ##################
  271. Top 3 lines
  272. #1: <__array_function__ internals>:6: 18241.7 KiB
  273. #2: internals/blocks.py:698: 1129.3 KiB
  274. values = values.copy()
  275. #3: internals/managers.py:1848: 1129.3 KiB
  276. stacked = np.empty(shape, dtype=dtype)
  277. 489 other: 1100.6 KiB
  278. Total allocated size: 21600.9 KiB
  279. df size 1613.0 KiB
  280. 27 ##################
  281. Top 3 lines
  282. #1: <__array_function__ internals>:6: 18887.3 KiB
  283. #2: internals/blocks.py:698: 1129.3 KiB
  284. values = values.copy()
  285. #3: internals/managers.py:1848: 1129.3 KiB
  286. stacked = np.empty(shape, dtype=dtype)
  287. 489 other: 1103.1 KiB
  288. Total allocated size: 22249.0 KiB
  289. df size 1613.0 KiB
  290. 28 ##################
  291. Top 3 lines
  292. #1: <__array_function__ internals>:6: 19532.9 KiB
  293. #2: internals/blocks.py:698: 1129.3 KiB
  294. values = values.copy()
  295. #3: internals/managers.py:1848: 1129.3 KiB
  296. stacked = np.empty(shape, dtype=dtype)
  297. 489 other: 1105.7 KiB
  298. Total allocated size: 22897.1 KiB
  299. df size 1613.0 KiB
  300. 29 ##################
  301. Top 3 lines
  302. #1: <__array_function__ internals>:6: 20178.5 KiB
  303. #2: internals/blocks.py:698: 1129.3 KiB
  304. values = values.copy()
  305. #3: internals/managers.py:1848: 1129.3 KiB
  306. stacked = np.empty(shape, dtype=dtype)
  307. 489 other: 1108.2 KiB
  308. Total allocated size: 23545.3 KiB
  309. df size 1613.0 KiB
  310. 30 ##################
  311. Top 3 lines
  312. #1: <__array_function__ internals>:6: 20824.1 KiB
  313. #2: internals/blocks.py:698: 1129.3 KiB
  314. values = values.copy()
  315. #3: internals/managers.py:1848: 1129.3 KiB
  316. stacked = np.empty(shape, dtype=dtype)
  317. 489 other: 1110.7 KiB
  318. Total allocated size: 24193.4 KiB
  319. df size 1613.0 KiB
  320. 31 ##################
  321. Top 3 lines
  322. #1: <__array_function__ internals>:6: 21469.7 KiB
  323. #2: internals/blocks.py:698: 1129.3 KiB
  324. values = values.copy()
  325. #3: internals/managers.py:1848: 1129.3 KiB
  326. stacked = np.empty(shape, dtype=dtype)
  327. 489 other: 1113.2 KiB
  328. Total allocated size: 24841.5 KiB
  329. df size 1613.0 KiB
  330. 32 ##################
  331. Top 3 lines
  332. #1: <__array_function__ internals>:6: 22115.3 KiB
  333. #2: internals/blocks.py:698: 1129.3 KiB
  334. values = values.copy()
  335. #3: internals/managers.py:1848: 1129.3 KiB
  336. stacked = np.empty(shape, dtype=dtype)
  337. 489 other: 1115.7 KiB
  338. Total allocated size: 25489.6 KiB
  339. df size 1613.0 KiB
  340. 33 ##################
  341. Top 3 lines
  342. #1: <__array_function__ internals>:6: 22760.9 KiB
  343. #2: internals/blocks.py:698: 1129.3 KiB
  344. values = values.copy()
  345. #3: internals/managers.py:1848: 1129.3 KiB
  346. stacked = np.empty(shape, dtype=dtype)
  347. 489 other: 1118.2 KiB
  348. Total allocated size: 26137.7 KiB
  349. df size 1613.0 KiB
  350. 34 ##################
  351. Top 3 lines
  352. #1: <__array_function__ internals>:6: 23406.5 KiB
  353. #2: internals/blocks.py:698: 1129.3 KiB
  354. values = values.copy()
  355. #3: internals/managers.py:1848: 1129.3 KiB
  356. stacked = np.empty(shape, dtype=dtype)
  357. 489 other: 1100.8 KiB
  358. Total allocated size: 26765.9 KiB
  359. df size 1613.0 KiB
  360. 35 ##################
  361. Top 3 lines
  362. #1: <__array_function__ internals>:6: 24052.1 KiB
  363. #2: internals/blocks.py:698: 1129.3 KiB
  364. values = values.copy()
  365. #3: internals/managers.py:1848: 1129.3 KiB
  366. stacked = np.empty(shape, dtype=dtype)
  367. 489 other: 1104.3 KiB
  368. Total allocated size: 27414.9 KiB
  369. df size 1613.0 KiB
  370. 36 ##################
  371. Top 3 lines
  372. #1: <__array_function__ internals>:6: 24697.7 KiB
  373. #2: internals/blocks.py:698: 1129.3 KiB
  374. values = values.copy()
  375. #3: internals/managers.py:1848: 1129.3 KiB
  376. stacked = np.empty(shape, dtype=dtype)
  377. 489 other: 1107.8 KiB
  378. Total allocated size: 28064.1 KiB
  379. df size 1613.0 KiB
  380. 37 ##################
  381. Top 3 lines
  382. #1: <__array_function__ internals>:6: 25343.2 KiB
  383. #2: internals/blocks.py:698: 1129.3 KiB
  384. values = values.copy()
  385. #3: internals/managers.py:1848: 1129.3 KiB
  386. stacked = np.empty(shape, dtype=dtype)
  387. 489 other: 1111.1 KiB
  388. Total allocated size: 28712.9 KiB
  389. df size 1613.0 KiB
  390. 38 ##################
  391. Top 3 lines
  392. #1: <__array_function__ internals>:6: 25988.8 KiB
  393. #2: internals/blocks.py:698: 1129.3 KiB
  394. values = values.copy()
  395. #3: internals/managers.py:1848: 1129.3 KiB
  396. stacked = np.empty(shape, dtype=dtype)
  397. 489 other: 1114.7 KiB
  398. Total allocated size: 29362.1 KiB
  399. df size 1613.0 KiB
  400. 39 ##################
  401. Top 3 lines
  402. #1: <__array_function__ internals>:6: 26634.4 KiB
  403. #2: internals/blocks.py:698: 1129.3 KiB
  404. values = values.copy()
  405. #3: internals/managers.py:1848: 1129.3 KiB
  406. stacked = np.empty(shape, dtype=dtype)
  407. 490 other: 1118.3 KiB
  408. Total allocated size: 30011.3 KiB
  409. df size 1613.0 KiB
  410. 40 ##################
  411. Top 3 lines
  412. #1: <__array_function__ internals>:6: 27280.0 KiB
  413. #2: internals/blocks.py:698: 1129.3 KiB
  414. values = values.copy()
  415. #3: internals/managers.py:1848: 1129.3 KiB
  416. stacked = np.empty(shape, dtype=dtype)
  417. 490 other: 1121.0 KiB
  418. Total allocated size: 30659.6 KiB
  419. df size 1613.0 KiB
  420. 41 ##################
  421. Top 3 lines
  422. #1: <__array_function__ internals>:6: 27925.6 KiB
  423. #2: internals/blocks.py:698: 1129.3 KiB
  424. values = values.copy()
  425. #3: internals/managers.py:1848: 1129.3 KiB
  426. stacked = np.empty(shape, dtype=dtype)
  427. 490 other: 1124.0 KiB
  428. Total allocated size: 31308.1 KiB
  429. df size 1613.0 KiB
  430. 42 ##################
  431. Top 3 lines
  432. #1: <__array_function__ internals>:6: 28571.2 KiB
  433. #2: internals/blocks.py:698: 1129.3 KiB
  434. values = values.copy()
  435. #3: internals/managers.py:1848: 1129.3 KiB
  436. stacked = np.empty(shape, dtype=dtype)
  437. 490 other: 1126.5 KiB
  438. Total allocated size: 31956.3 KiB
  439. df size 1613.0 KiB
  440. 43 ##################
  441. Top 3 lines
  442. #1: <__array_function__ internals>:6: 29216.8 KiB
  443. #2: internals/blocks.py:698: 1129.3 KiB
  444. values = values.copy()
  445. #3: internals/managers.py:1848: 1129.3 KiB
  446. stacked = np.empty(shape, dtype=dtype)
  447. 490 other: 1129.1 KiB
  448. Total allocated size: 32604.5 KiB
  449. df size 1613.0 KiB
  450. 44 ##################
  451. Top 3 lines
  452. #1: <__array_function__ internals>:6: 29862.4 KiB
  453. #2: internals/blocks.py:698: 1129.3 KiB
  454. values = values.copy()
  455. #3: internals/managers.py:1848: 1129.3 KiB
  456. stacked = np.empty(shape, dtype=dtype)
  457. 490 other: 1131.9 KiB
  458. Total allocated size: 33252.9 KiB
  459. df size 1613.0 KiB
  460. 45 ##################
  461. Top 3 lines
  462. #1: <__array_function__ internals>:6: 30508.0 KiB
  463. #2: internals/blocks.py:698: 1129.3 KiB
  464. values = values.copy()
  465. #3: internals/managers.py:1848: 1129.3 KiB
  466. stacked = np.empty(shape, dtype=dtype)
  467. 490 other: 1134.3 KiB
  468. Total allocated size: 33900.8 KiB
  469. df size 1613.0 KiB
  470. 46 ##################
  471. Top 3 lines
  472. #1: <__array_function__ internals>:6: 31153.6 KiB
  473. #2: internals/blocks.py:698: 1129.3 KiB
  474. values = values.copy()
  475. #3: internals/managers.py:1848: 1129.3 KiB
  476. stacked = np.empty(shape, dtype=dtype)
  477. 490 other: 1146.0 KiB
  478. Total allocated size: 34558.2 KiB
  479. df size 1613.0 KiB
  480. 47 ##################
  481. Top 3 lines
  482. #1: <__array_function__ internals>:6: 31799.2 KiB
  483. #2: internals/blocks.py:698: 1129.3 KiB
  484. values = values.copy()
  485. #3: internals/managers.py:1848: 1129.3 KiB
  486. stacked = np.empty(shape, dtype=dtype)
  487. 490 other: 1148.4 KiB
  488. Total allocated size: 35206.1 KiB
  489. df size 1613.0 KiB
  490. 48 ##################
  491. Top 3 lines
  492. #1: <__array_function__ internals>:6: 32444.8 KiB
  493. #2: internals/blocks.py:698: 1129.3 KiB
  494. values = values.copy()
  495. #3: internals/managers.py:1848: 1129.3 KiB
  496. stacked = np.empty(shape, dtype=dtype)
  497. 490 other: 1150.7 KiB
  498. Total allocated size: 35854.0 KiB
  499. df size 1613.0 KiB
  500. 49 ##################
  501. Top 3 lines
  502. #1: <__array_function__ internals>:6: 33090.4 KiB
  503. #2: internals/blocks.py:698: 1129.3 KiB
  504. values = values.copy()
  505. #3: internals/managers.py:1848: 1129.3 KiB
  506. stacked = np.empty(shape, dtype=dtype)
  507. 490 other: 1129.4 KiB
  508. Total allocated size: 36478.4 KiB
  509. df size 1613.0 KiB
  510. 50 ##################
  511. Top 3 lines
  512. #1: <__array_function__ internals>:6: 33736.0 KiB
  513. #2: internals/blocks.py:698: 1129.3 KiB
  514. values = values.copy()
  515. #3: internals/managers.py:1848: 1129.3 KiB
  516. stacked = np.empty(shape, dtype=dtype)
  517. 490 other: 1132.7 KiB
  518. Total allocated size: 37127.3 KiB
  519. df size 1613.0 KiB
  520. 51 ##################
  521. Top 3 lines
  522. #1: <__array_function__ internals>:6: 34381.6 KiB
  523. #2: internals/blocks.py:698: 1129.3 KiB
  524. values = values.copy()
  525. #3: internals/managers.py:1848: 1129.3 KiB
  526. stacked = np.empty(shape, dtype=dtype)
  527. 490 other: 1136.0 KiB
  528. Total allocated size: 37776.1 KiB
  529. df size 1613.0 KiB
  530. 52 ##################
  531. Top 3 lines
  532. #1: <__array_function__ internals>:6: 35027.2 KiB
  533. #2: internals/blocks.py:698: 1129.3 KiB
  534. values = values.copy()
  535. #3: internals/managers.py:1848: 1129.3 KiB
  536. stacked = np.empty(shape, dtype=dtype)
  537. 490 other: 1119.2 KiB
  538. Total allocated size: 38404.9 KiB
  539. df size 1613.0 KiB
  540. 53 ##################
  541. Top 3 lines
  542. #1: <__array_function__ internals>:6: 35672.8 KiB
  543. #2: internals/blocks.py:698: 1129.3 KiB
  544. values = values.copy()
  545. #3: internals/managers.py:1848: 1129.3 KiB
  546. stacked = np.empty(shape, dtype=dtype)
  547. 490 other: 1122.6 KiB
  548. Total allocated size: 39053.9 KiB
  549. df size 1613.0 KiB
  550. 54 ##################
  551. Top 3 lines
  552. #1: <__array_function__ internals>:6: 36318.3 KiB
  553. #2: internals/blocks.py:698: 1129.3 KiB
  554. values = values.copy()
  555. #3: internals/managers.py:1848: 1129.3 KiB
  556. stacked = np.empty(shape, dtype=dtype)
  557. 490 other: 1126.0 KiB
  558. Total allocated size: 39702.9 KiB
  559. df size 1613.0 KiB
  560. 55 ##################
  561. Top 3 lines
  562. #1: <__array_function__ internals>:6: 36963.9 KiB
  563. #2: internals/blocks.py:698: 1129.3 KiB
  564. values = values.copy()
  565. #3: internals/managers.py:1848: 1129.3 KiB
  566. stacked = np.empty(shape, dtype=dtype)
  567. 490 other: 1128.9 KiB
  568. Total allocated size: 40351.4 KiB
  569. df size 1613.0 KiB
  570. 56 ##################
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  572. #1: <__array_function__ internals>:6: 37609.5 KiB
  573. #2: internals/blocks.py:698: 1129.3 KiB
  574. values = values.copy()
  575. #3: internals/managers.py:1848: 1129.3 KiB
  576. stacked = np.empty(shape, dtype=dtype)
  577. 490 other: 1131.8 KiB
  578. Total allocated size: 40999.9 KiB
  579. df size 1613.0 KiB
  580. 57 ##################
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  582. #1: <__array_function__ internals>:6: 38255.1 KiB
  583. #2: internals/blocks.py:698: 1129.3 KiB
  584. values = values.copy()
  585. #3: internals/managers.py:1848: 1129.3 KiB
  586. stacked = np.empty(shape, dtype=dtype)
  587. 490 other: 1134.5 KiB
  588. Total allocated size: 41648.2 KiB
  589. df size 1613.0 KiB
  590. 58 ##################
  591. Top 3 lines
  592. #1: <__array_function__ internals>:6: 38900.7 KiB
  593. #2: internals/blocks.py:698: 1129.3 KiB
  594. values = values.copy()
  595. #3: internals/managers.py:1848: 1129.3 KiB
  596. stacked = np.empty(shape, dtype=dtype)
  597. 490 other: 1137.2 KiB
  598. Total allocated size: 42296.5 KiB
  599. df size 1613.0 KiB
  600. 59 ##################
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  602. #1: <__array_function__ internals>:6: 39546.3 KiB
  603. #2: internals/blocks.py:698: 1129.3 KiB
  604. values = values.copy()
  605. #3: internals/managers.py:1848: 1129.3 KiB
  606. stacked = np.empty(shape, dtype=dtype)
  607. 490 other: 1139.8 KiB
  608. Total allocated size: 42944.7 KiB
  609. df size 1613.0 KiB
  610. 60 ##################
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  612. #1: <__array_function__ internals>:6: 40191.9 KiB
  613. #2: internals/blocks.py:698: 1129.3 KiB
  614. values = values.copy()
  615. #3: internals/managers.py:1848: 1129.3 KiB
  616. stacked = np.empty(shape, dtype=dtype)
  617. 490 other: 1142.2 KiB
  618. Total allocated size: 43592.7 KiB
  619. df size 1613.0 KiB
  620. 61 ##################
  621. Top 3 lines
  622. #1: <__array_function__ internals>:6: 40837.5 KiB
  623. #2: internals/blocks.py:698: 1129.3 KiB
  624. values = values.copy()
  625. #3: internals/managers.py:1848: 1129.3 KiB
  626. stacked = np.empty(shape, dtype=dtype)
  627. 490 other: 1144.7 KiB
  628. Total allocated size: 44240.8 KiB
  629. df size 1613.0 KiB
  630. 62 ##################
  631. Top 3 lines
  632. #1: <__array_function__ internals>:6: 41483.1 KiB
  633. #2: internals/blocks.py:698: 1129.3 KiB
  634. values = values.copy()
  635. #3: internals/managers.py:1848: 1129.3 KiB
  636. stacked = np.empty(shape, dtype=dtype)
  637. 490 other: 1147.3 KiB
  638. Total allocated size: 44889.0 KiB
  639. df size 1613.0 KiB
  640. 63 ##################
  641. Top 3 lines
  642. #1: <__array_function__ internals>:6: 42128.7 KiB
  643. #2: internals/blocks.py:698: 1129.3 KiB
  644. values = values.copy()
  645. #3: internals/managers.py:1848: 1129.3 KiB
  646. stacked = np.empty(shape, dtype=dtype)
  647. 490 other: 1138.6 KiB
  648. Total allocated size: 45525.9 KiB
  649. df size 1613.0 KiB
  650. 64 ##################
  651. Top 3 lines
  652. #1: <__array_function__ internals>:6: 42774.3 KiB
  653. #2: internals/blocks.py:698: 1129.3 KiB
  654. values = values.copy()
  655. #3: internals/managers.py:1848: 1129.3 KiB
  656. stacked = np.empty(shape, dtype=dtype)
  657. 490 other: 1142.2 KiB
  658. Total allocated size: 46175.0 KiB
  659. df size 1613.0 KiB
  660. 65 ##################
  661. Top 3 lines
  662. #1: <__array_function__ internals>:6: 43419.9 KiB
  663. #2: internals/blocks.py:698: 1129.3 KiB
  664. values = values.copy()
  665. #3: internals/managers.py:1848: 1129.3 KiB
  666. stacked = np.empty(shape, dtype=dtype)
  667. 490 other: 1145.5 KiB
  668. Total allocated size: 46823.9 KiB
  669. df size 1613.0 KiB
  670. 66 ##################
  671. Top 3 lines
  672. #1: <__array_function__ internals>:6: 44065.5 KiB
  673. #2: internals/blocks.py:698: 1129.3 KiB
  674. values = values.copy()
  675. #3: internals/managers.py:1848: 1129.3 KiB
  676. stacked = np.empty(shape, dtype=dtype)
  677. 489 other: 1149.0 KiB
  678. Total allocated size: 47473.1 KiB
  679. df size 1613.0 KiB
  680. 67 ##################
  681. Top 3 lines
  682. #1: <__array_function__ internals>:6: 44711.1 KiB
  683. #2: internals/blocks.py:698: 1129.3 KiB
  684. values = values.copy()
  685. #3: internals/managers.py:1848: 1129.3 KiB
  686. stacked = np.empty(shape, dtype=dtype)
  687. 489 other: 1152.3 KiB
  688. Total allocated size: 48121.9 KiB
  689. df size 1613.0 KiB
  690. 68 ##################
  691. Top 3 lines
  692. #1: <__array_function__ internals>:6: 45356.7 KiB
  693. #2: internals/blocks.py:698: 1129.3 KiB
  694. values = values.copy()
  695. #3: internals/managers.py:1848: 1129.3 KiB
  696. stacked = np.empty(shape, dtype=dtype)
  697. 489 other: 1155.9 KiB
  698. Total allocated size: 48771.2 KiB
  699. df size 1613.0 KiB
  700. 69 ##################
  701. Top 3 lines
  702. #1: <__array_function__ internals>:6: 46002.2 KiB
  703. #2: internals/blocks.py:698: 1129.3 KiB
  704. values = values.copy()
  705. #3: internals/managers.py:1848: 1129.3 KiB
  706. stacked = np.empty(shape, dtype=dtype)
  707. 489 other: 1158.7 KiB
  708. Total allocated size: 49419.5 KiB
  709. df size 1613.0 KiB
  710. 70 ##################
  711. Top 3 lines
  712. #1: <__array_function__ internals>:6: 46647.8 KiB
  713. #2: internals/blocks.py:698: 1129.3 KiB
  714. values = values.copy()
  715. #3: internals/managers.py:1848: 1129.3 KiB
  716. stacked = np.empty(shape, dtype=dtype)
  717. 489 other: 1161.7 KiB
  718. Total allocated size: 50068.1 KiB
  719. df size 1613.0 KiB
  720. 71 ##################
  721. Top 3 lines
  722. #1: <__array_function__ internals>:6: 47293.4 KiB
  723. #2: internals/blocks.py:698: 1129.3 KiB
  724. values = values.copy()
  725. #3: internals/managers.py:1848: 1129.3 KiB
  726. stacked = np.empty(shape, dtype=dtype)
  727. 489 other: 1164.3 KiB
  728. Total allocated size: 50716.3 KiB
  729. df size 1613.0 KiB
  730. 72 ##################
  731. Top 3 lines
  732. #1: <__array_function__ internals>:6: 47939.0 KiB
  733. #2: internals/blocks.py:698: 1129.3 KiB
  734. values = values.copy()
  735. #3: internals/managers.py:1848: 1129.3 KiB
  736. stacked = np.empty(shape, dtype=dtype)
  737. 489 other: 1167.3 KiB
  738. Total allocated size: 51364.9 KiB
  739. df size 1613.0 KiB
  740. 73 ##################
  741. Top 3 lines
  742. #1: <__array_function__ internals>:6: 48584.6 KiB
  743. #2: internals/blocks.py:698: 1129.3 KiB
  744. values = values.copy()
  745. #3: internals/managers.py:1848: 1129.3 KiB
  746. stacked = np.empty(shape, dtype=dtype)
  747. 489 other: 1169.7 KiB
  748. Total allocated size: 52012.9 KiB
  749. df size 1613.0 KiB
  750. 74 ##################
  751. Top 3 lines
  752. #1: <__array_function__ internals>:6: 49230.2 KiB
  753. #2: internals/blocks.py:698: 1129.3 KiB
  754. values = values.copy()
  755. #3: internals/managers.py:1848: 1129.3 KiB
  756. stacked = np.empty(shape, dtype=dtype)
  757. 489 other: 1172.0 KiB
  758. Total allocated size: 52660.8 KiB
  759. df size 1613.0 KiB
  760. 75 ##################
  761. Top 3 lines
  762. #1: <__array_function__ internals>:6: 49875.8 KiB
  763. #2: internals/blocks.py:698: 1129.3 KiB
  764. values = values.copy()
  765. #3: internals/managers.py:1848: 1129.3 KiB
  766. stacked = np.empty(shape, dtype=dtype)
  767. 489 other: 1174.9 KiB
  768. Total allocated size: 53309.2 KiB
  769. df size 1613.0 KiB
  770. 76 ##################
  771. Top 3 lines
  772. #1: <__array_function__ internals>:6: 50521.4 KiB
  773. #2: internals/blocks.py:698: 1129.3 KiB
  774. values = values.copy()
  775. #3: internals/managers.py:1848: 1129.3 KiB
  776. stacked = np.empty(shape, dtype=dtype)
  777. 486 other: 1198.7 KiB
  778. Total allocated size: 53978.7 KiB
  779. df size 1613.0 KiB
  780. 77 ##################
  781. Top 3 lines
  782. #1: <__array_function__ internals>:6: 51167.0 KiB
  783. #2: internals/blocks.py:698: 1129.3 KiB
  784. values = values.copy()
  785. #3: internals/managers.py:1848: 1129.3 KiB
  786. stacked = np.empty(shape, dtype=dtype)
  787. 486 other: 1202.1 KiB
  788. Total allocated size: 54627.6 KiB
  789. df size 1613.0 KiB
  790. 78 ##################
  791. Top 3 lines
  792. #1: <__array_function__ internals>:6: 51812.6 KiB
  793. #2: internals/blocks.py:698: 1129.3 KiB
  794. values = values.copy()
  795. #3: internals/managers.py:1848: 1129.3 KiB
  796. stacked = np.empty(shape, dtype=dtype)
  797. 482 other: 1146.7 KiB
  798. Total allocated size: 55217.8 KiB
  799. df size 1613.0 KiB
  800. 79 ##################
  801. Top 3 lines
  802. #1: <__array_function__ internals>:6: 52458.2 KiB
  803. #2: internals/blocks.py:698: 1129.3 KiB
  804. values = values.copy()
  805. #3: internals/managers.py:1848: 1129.3 KiB
  806. stacked = np.empty(shape, dtype=dtype)
  807. 485 other: 1150.1 KiB
  808. Total allocated size: 55866.8 KiB
  809. df size 1613.0 KiB
  810. 80 ##################
  811. Top 3 lines
  812. #1: <__array_function__ internals>:6: 53103.8 KiB
  813. #2: internals/blocks.py:698: 1129.3 KiB
  814. values = values.copy()
  815. #3: internals/managers.py:1848: 1129.3 KiB
  816. stacked = np.empty(shape, dtype=dtype)
  817. 485 other: 1153.5 KiB
  818. Total allocated size: 56515.9 KiB
  819. df size 1613.0 KiB
  820. 81 ##################
  821. Top 3 lines
  822. #1: <__array_function__ internals>:6: 53749.4 KiB
  823. #2: internals/blocks.py:698: 1129.3 KiB
  824. values = values.copy()
  825. #3: internals/managers.py:1848: 1129.3 KiB
  826. stacked = np.empty(shape, dtype=dtype)
  827. 485 other: 1157.0 KiB
  828. Total allocated size: 57164.9 KiB
  829. df size 1613.0 KiB
  830. 82 ##################
  831. Top 3 lines
  832. #1: <__array_function__ internals>:6: 54395.0 KiB
  833. #2: internals/blocks.py:698: 1129.3 KiB
  834. values = values.copy()
  835. #3: internals/managers.py:1848: 1129.3 KiB
  836. stacked = np.empty(shape, dtype=dtype)
  837. 486 other: 1159.9 KiB
  838. Total allocated size: 57813.4 KiB
  839. df size 1613.0 KiB
  840. 83 ##################
  841. Top 3 lines
  842. #1: <__array_function__ internals>:6: 55040.6 KiB
  843. #2: internals/blocks.py:698: 1129.3 KiB
  844. values = values.copy()
  845. #3: internals/managers.py:1848: 1129.3 KiB
  846. stacked = np.empty(shape, dtype=dtype)
  847. 486 other: 1162.6 KiB
  848. Total allocated size: 58461.7 KiB
  849. df size 1613.0 KiB
  850. 84 ##################
  851. Top 3 lines
  852. #1: <__array_function__ internals>:6: 55686.2 KiB
  853. #2: internals/blocks.py:698: 1129.3 KiB
  854. values = values.copy()
  855. #3: internals/managers.py:1848: 1129.3 KiB
  856. stacked = np.empty(shape, dtype=dtype)
  857. 486 other: 1165.3 KiB
  858. Total allocated size: 59110.1 KiB
  859. df size 1613.0 KiB
  860. 85 ##################
  861. Top 3 lines
  862. #1: <__array_function__ internals>:6: 56331.8 KiB
  863. #2: internals/blocks.py:698: 1129.3 KiB
  864. values = values.copy()
  865. #3: internals/managers.py:1848: 1129.3 KiB
  866. stacked = np.empty(shape, dtype=dtype)
  867. 486 other: 1168.1 KiB
  868. Total allocated size: 59758.4 KiB
  869. df size 1613.0 KiB
  870. 86 ##################
  871. Top 3 lines
  872. #1: <__array_function__ internals>:6: 56977.3 KiB
  873. #2: internals/blocks.py:698: 1129.3 KiB
  874. values = values.copy()
  875. #3: internals/managers.py:1848: 1129.3 KiB
  876. stacked = np.empty(shape, dtype=dtype)
  877. 486 other: 1170.7 KiB
  878. Total allocated size: 60406.6 KiB
  879. df size 1613.0 KiB
  880. 87 ##################
  881. Top 3 lines
  882. #1: <__array_function__ internals>:6: 57622.9 KiB
  883. #2: internals/blocks.py:698: 1129.3 KiB
  884. values = values.copy()
  885. #3: internals/managers.py:1848: 1129.3 KiB
  886. stacked = np.empty(shape, dtype=dtype)
  887. 486 other: 1173.3 KiB
  888. Total allocated size: 61054.8 KiB
  889. df size 1613.0 KiB
  890. 88 ##################
  891. Top 3 lines
  892. #1: <__array_function__ internals>:6: 58268.5 KiB
  893. #2: internals/blocks.py:698: 1129.3 KiB
  894. values = values.copy()
  895. #3: internals/managers.py:1848: 1129.3 KiB
  896. stacked = np.empty(shape, dtype=dtype)
  897. 487 other: 1205.5 KiB
  898. Total allocated size: 61732.6 KiB
  899. df size 1613.0 KiB
  900. 89 ##################
  901. Top 3 lines
  902. #1: <__array_function__ internals>:6: 58914.1 KiB
  903. #2: internals/blocks.py:698: 1129.3 KiB
  904. values = values.copy()
  905. #3: internals/managers.py:1848: 1129.3 KiB
  906. stacked = np.empty(shape, dtype=dtype)
  907. 487 other: 1209.1 KiB
  908. Total allocated size: 62381.8 KiB
  909. df size 1613.0 KiB
  910. 90 ##################
  911. Top 3 lines
  912. #1: <__array_function__ internals>:6: 59559.7 KiB
  913. #2: internals/blocks.py:698: 1129.3 KiB
  914. values = values.copy()
  915. #3: internals/managers.py:1848: 1129.3 KiB
  916. stacked = np.empty(shape, dtype=dtype)
  917. 486 other: 1174.4 KiB
  918. Total allocated size: 62992.7 KiB
  919. df size 1613.0 KiB
  920. 91 ##################
  921. Top 3 lines
  922. #1: <__array_function__ internals>:6: 60205.3 KiB
  923. #2: internals/blocks.py:698: 1129.3 KiB
  924. values = values.copy()
  925. #3: internals/managers.py:1848: 1129.3 KiB
  926. stacked = np.empty(shape, dtype=dtype)
  927. 486 other: 1177.7 KiB
  928. Total allocated size: 63641.6 KiB
  929. df size 1613.0 KiB
  930. 92 ##################
  931. Top 3 lines
  932. #1: <__array_function__ internals>:6: 60850.9 KiB
  933. #2: internals/blocks.py:698: 1129.3 KiB
  934. values = values.copy()
  935. #3: internals/managers.py:1848: 1129.3 KiB
  936. stacked = np.empty(shape, dtype=dtype)
  937. 486 other: 1181.3 KiB
  938. Total allocated size: 64290.8 KiB
  939. df size 1613.0 KiB
  940. 93 ##################
  941. Top 3 lines
  942. #1: <__array_function__ internals>:6: 61496.5 KiB
  943. #2: internals/blocks.py:698: 1129.3 KiB
  944. values = values.copy()
  945. #3: internals/managers.py:1848: 1129.3 KiB
  946. stacked = np.empty(shape, dtype=dtype)
  947. 486 other: 1184.6 KiB
  948. Total allocated size: 64939.6 KiB
  949. df size 1613.0 KiB
  950. 94 ##################
  951. Top 3 lines
  952. #1: <__array_function__ internals>:6: 62142.1 KiB
  953. #2: internals/blocks.py:698: 1129.3 KiB
  954. values = values.copy()
  955. #3: internals/managers.py:1848: 1129.3 KiB
  956. stacked = np.empty(shape, dtype=dtype)
  957. 486 other: 1187.7 KiB
  958. Total allocated size: 65588.3 KiB
  959. df size 1613.0 KiB
  960. 95 ##################
  961. Top 3 lines
  962. #1: <__array_function__ internals>:6: 62787.7 KiB
  963. #2: internals/blocks.py:698: 1129.3 KiB
  964. values = values.copy()
  965. #3: internals/managers.py:1848: 1129.3 KiB
  966. stacked = np.empty(shape, dtype=dtype)
  967. 486 other: 1190.3 KiB
  968. Total allocated size: 66236.5 KiB
  969. df size 1613.0 KiB
  970. 96 ##################
  971. Top 3 lines
  972. #1: <__array_function__ internals>:6: 63433.3 KiB
  973. #2: internals/blocks.py:698: 1129.3 KiB
  974. values = values.copy()
  975. #3: internals/managers.py:1848: 1129.3 KiB
  976. stacked = np.empty(shape, dtype=dtype)
  977. 485 other: 1211.2 KiB
  978. Total allocated size: 66903.1 KiB
  979. df size 1613.0 KiB
  980. 97 ##################
  981. Top 3 lines
  982. #1: <__array_function__ internals>:6: 64078.9 KiB
  983. #2: internals/blocks.py:698: 1129.3 KiB
  984. values = values.copy()
  985. #3: internals/managers.py:1848: 1129.3 KiB
  986. stacked = np.empty(shape, dtype=dtype)
  987. 485 other: 1213.8 KiB
  988. Total allocated size: 67551.2 KiB
  989. df size 1613.0 KiB
  990. 98 ##################
  991. Top 3 lines
  992. #1: <__array_function__ internals>:6: 64724.5 KiB
  993. #2: internals/blocks.py:698: 1129.3 KiB
  994. values = values.copy()
  995. #3: internals/managers.py:1848: 1129.3 KiB
  996. stacked = np.empty(shape, dtype=dtype)
  997. 485 other: 1216.2 KiB
  998. Total allocated size: 68199.3 KiB
  999. df size 1613.0 KiB
  1000. 99 ##################
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