|
10 | 10 | """ |
11 | 11 |
|
12 | 12 | from numpy._core.function_base import add_newdoc |
13 | | -from numpy._core.overrides import array_function_like_doc |
| 13 | +from numpy._core.overrides import get_array_function_like_doc |
14 | 14 |
|
15 | 15 |
|
16 | 16 | ############################################################################### |
|
927 | 927 | matrix([[1, 2], |
928 | 928 | [3, 4]]) |
929 | 929 |
|
930 | | - """.replace( |
931 | | - "${ARRAY_FUNCTION_LIKE}", |
932 | | - array_function_like_doc, |
933 | | - )) |
| 930 | + """) |
934 | 931 |
|
935 | 932 | add_newdoc('numpy._core.multiarray', 'asarray', |
936 | 933 | """ |
|
1022 | 1019 | >>> np.asanyarray(a) is a |
1023 | 1020 | True |
1024 | 1021 |
|
1025 | | - """.replace( |
1026 | | - "${ARRAY_FUNCTION_LIKE}", |
1027 | | - array_function_like_doc, |
1028 | | - )) |
| 1022 | + """) |
1029 | 1023 |
|
1030 | 1024 | add_newdoc('numpy._core.multiarray', 'asanyarray', |
1031 | 1025 | """ |
|
1101 | 1095 | >>> np.asanyarray(a) is a |
1102 | 1096 | True |
1103 | 1097 |
|
1104 | | - """.replace( |
1105 | | - "${ARRAY_FUNCTION_LIKE}", |
1106 | | - array_function_like_doc, |
1107 | | - )) |
| 1098 | + """) |
1108 | 1099 |
|
1109 | 1100 | add_newdoc('numpy._core.multiarray', 'ascontiguousarray', |
1110 | 1101 | """ |
|
1167 | 1158 | Note: This function returns an array with at least one-dimension (1-d) |
1168 | 1159 | so it will not preserve 0-d arrays. |
1169 | 1160 |
|
1170 | | - """.replace( |
1171 | | - "${ARRAY_FUNCTION_LIKE}", |
1172 | | - array_function_like_doc, |
1173 | | - )) |
| 1161 | + """) |
1174 | 1162 |
|
1175 | 1163 | add_newdoc('numpy._core.multiarray', 'asfortranarray', |
1176 | 1164 | """ |
|
1233 | 1221 | Note: This function returns an array with at least one-dimension (1-d) |
1234 | 1222 | so it will not preserve 0-d arrays. |
1235 | 1223 |
|
1236 | | - """.replace( |
1237 | | - "${ARRAY_FUNCTION_LIKE}", |
1238 | | - array_function_like_doc, |
1239 | | - )) |
| 1224 | + """) |
1240 | 1225 |
|
1241 | 1226 | add_newdoc('numpy._core.multiarray', 'empty', |
1242 | 1227 | """ |
|
1296 | 1281 | array([[-1073741821, -1067949133], |
1297 | 1282 | [ 496041986, 19249760]]) #uninitialized |
1298 | 1283 |
|
1299 | | - """.replace( |
1300 | | - "${ARRAY_FUNCTION_LIKE}", |
1301 | | - array_function_like_doc, |
1302 | | - )) |
| 1284 | + """) |
1303 | 1285 |
|
1304 | 1286 | add_newdoc('numpy._core.multiarray', 'scalar', |
1305 | 1287 | """ |
|
1370 | 1352 | array([(0, 0), (0, 0)], |
1371 | 1353 | dtype=[('x', '<i4'), ('y', '<i4')]) |
1372 | 1354 |
|
1373 | | - """.replace( |
1374 | | - "${ARRAY_FUNCTION_LIKE}", |
1375 | | - array_function_like_doc, |
1376 | | - )) |
| 1355 | + """) |
1377 | 1356 |
|
1378 | 1357 | add_newdoc('numpy._core.multiarray', 'set_typeDict', |
1379 | 1358 | """set_typeDict(dict) |
|
1441 | 1420 | >>> np.fromstring('1, 2', dtype=int, sep=',') |
1442 | 1421 | array([1, 2]) |
1443 | 1422 |
|
1444 | | - """.replace( |
1445 | | - "${ARRAY_FUNCTION_LIKE}", |
1446 | | - array_function_like_doc, |
1447 | | - )) |
| 1423 | + """) |
1448 | 1424 |
|
1449 | 1425 | add_newdoc('numpy._core.multiarray', 'compare_chararrays', |
1450 | 1426 | """ |
|
1537 | 1513 | [5, 6]]) |
1538 | 1514 |
|
1539 | 1515 |
|
1540 | | - """.replace( |
1541 | | - "${ARRAY_FUNCTION_LIKE}", |
1542 | | - array_function_like_doc, |
1543 | | - )) |
| 1516 | + """) |
1544 | 1517 |
|
1545 | 1518 | add_newdoc('numpy._core.multiarray', 'fromfile', |
1546 | 1519 | """ |
|
1623 | 1596 | array([((10, 0), 98.25)], |
1624 | 1597 | dtype=[('time', [('min', '<i8'), ('sec', '<i8')]), ('temp', '<f8')]) |
1625 | 1598 |
|
1626 | | - """.replace( |
1627 | | - "${ARRAY_FUNCTION_LIKE}", |
1628 | | - array_function_like_doc, |
1629 | | - )) |
| 1599 | + """) |
1630 | 1600 |
|
1631 | 1601 | add_newdoc('numpy._core.multiarray', 'frombuffer', |
1632 | 1602 | """ |
|
1686 | 1656 | >>> np.frombuffer(b'\\x01\\x02\\x03\\x04\\x05', dtype=np.uint8, count=3) |
1687 | 1657 | array([1, 2, 3], dtype=uint8) |
1688 | 1658 |
|
1689 | | - """.replace( |
1690 | | - "${ARRAY_FUNCTION_LIKE}", |
1691 | | - array_function_like_doc, |
1692 | | - )) |
| 1659 | + """) |
1693 | 1660 |
|
1694 | 1661 | add_newdoc('numpy._core.multiarray', 'from_dlpack', |
1695 | 1662 | """ |
|
1855 | 1822 | >>> np.arange(3,7,2) |
1856 | 1823 | array([3, 5]) |
1857 | 1824 |
|
1858 | | - """.replace( |
1859 | | - "${ARRAY_FUNCTION_LIKE}", |
1860 | | - array_function_like_doc, |
1861 | | - )) |
| 1825 | + """) |
1862 | 1826 |
|
1863 | 1827 | add_newdoc('numpy._core.multiarray', '_get_ndarray_c_version', |
1864 | 1828 | """_get_ndarray_c_version() |
|
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