Lines Matching refs:lst
176 lst = [0] * n
178 lst[i] = gen_item(fmt, obj)
179 return lst
240 def atomp(lst): argument
242 return not isinstance(lst, list)
244 def listp(lst): argument
245 return isinstance(lst, list)
247 def prod(lst): argument
249 if len(lst) == 0:
251 x = lst[0]
252 for v in lst[1:]:
278 lst = [0] * s[0]
282 lst[i] = _ca(items[start:start+stride], s[1:])
283 return lst
292 lst = [0] * s[0]
295 lst[i] = _fa(items[i::stride], s[1:])
296 return lst
335 def _flatten(lst): argument
337 if lst == []:
338 return lst
339 if atomp(lst):
340 return [lst]
341 return _flatten(lst[0]) + _flatten(lst[1:])
343 def flatten(lst): argument
345 if atomp(lst): # scalar
346 return lst
347 return _flatten(lst)
349 def slice_shape(lst, slices): argument
352 if atomp(lst):
354 return [len(lst[slices[0]])] + slice_shape(lst[0], slices[1:])
356 def multislice(lst, slices): argument
358 if atomp(lst):
359 return lst
360 return [multislice(sublst, slices[1:]) for sublst in lst[slices[0]]]
453 def get_item(lst, indices): argument
455 lst = lst[i]
456 return lst
767 lst=-1, sliced=False, cast=False): argument
774 expected_len = len(lst)
812 self.assertEqual(rep, lst)
829 item2 = get_item(lst, ind)
852 flattened = flatten(lst)
938 n = 1 if ndim == 0 else len(lst)
942 self.assertEqual(rep, lst)
968 lst = ex.tolist()
971 lst = nd.tolist()
983 lst = orig_ex.tobytes() # Issue 12834
993 lst=lst, sliced=sliced)
1282 lst=scalar)
1294 lst=items)
1315 lst=items[::step])
1340 lst = carray(items, shape)
1344 lst=lst)
1355 lst=lst)
1362 lst = farray(items, shape)
1366 lst=lst)
1546 lst = carray(items, shape)
1549 self.assertEqual(lst[i], nd[i].tolist())
1551 self.assertEqual(lst[i][j], nd[i][j].tolist())
1553 self.assertEqual(lst[i][j][k], nd[i][j][k])
1558 lst = farray(items, shape)
1561 self.assertEqual(lst[i], nd[i].tolist())
1563 self.assertEqual(lst[i][j], nd[i][j].tolist())
1565 self.assertEqual(lst[i][j][k], nd[i][j][k])
1706 lst = carray(items, shape)
1712 sliced = multislice(lst, slices)
1741 lst = carray(items, shape)
1747 sliced = multislice(lst, slices)
1775 lst = items[:]
1777 lval = lst[lslice]
1778 rval = lst[rslice]
1779 lst[lslice] = lst[rslice]
1793 self.assertEqual(nd.tolist(), lst)
1808 self.assertEqual(mv.tolist(), lst)
1814 lst=nd.tolist())
1830 lst = carray(items, shape)
1834 result = multislice_assign(lst, lst, lslices, rslices)
1888 lst=z.tolist())
1973 strides=zl.strides, lst=zl.tolist())
1978 strides=zr.strides, lst=zr.tolist())
2236 lst = list(range(12))
2238 nd = ndarray(lst, shape=[3, 4], flags=f|ND_WRITABLE)
2240 na = numpy_array(buffer=bytearray(lst),
2246 x = ndarray(transpose(lst, [4, 3]), shape=[3, 4],
2269 x = ndarray(transpose(lst, [3, 4]), shape=[4, 3],
2272 x = ndarray(lst, shape=[3, 4], flags=ND_WRITABLE)
2292 x = ndarray(lst, shape=[3, 4], flags=ND_WRITABLE)
2325 x = ndarray(transpose(lst, [3, 4]), shape=[4, 3], flags=ND_WRITABLE)
2351 lst = carray(items, shape)
2356 lst=lst)
2363 lst=lst)
2372 lst=lst)
2381 lst = [items] if ndim == 0 else items
2385 lst=lst)
2398 lst = farray(items, shape)
2403 lst=lst)
2410 lst=lst)
2420 lst = carray(items, shape)
2425 lst=lst)
2432 lst=lst)
2678 lst = to_bytelist(ex)
2682 lst=lst, cast=True)
2686 lst = ex.tolist()
2690 lst=lst, cast=True)
2701 lst=destitems, cast=True)
2712 lst=destitems, cast=True)
2757 lst = nd.tolist()
2761 lst=lst, cast=True)
2768 lst = ex.tolist()
2773 lst=lst, cast=True)
2778 lst=lst, cast=True)
4293 lst = [0,1,2,3,4,5,6,7,8,9,10,11]
4304 lst=lst)
4324 lst=lst)
4337 lst=lst)
4346 lst=lst)
4366 lst=lst)
4381 lst=lst)