44import numpy as np
55
66from functools import wraps as _wraps
7- from builtins import all as _builtin_all , any as _builtin_any
7+ from builtins import any as _builtin_any
88
99from ..common ._aliases import (
1010 unstack as _aliases_unstack ,
@@ -1036,7 +1036,7 @@ def is_complex(dtype):
10361036 paddle .framework .core .DataType .FLOAT64 ,
10371037 paddle .framework .core .DataType .FLOAT16 ,
10381038 paddle .framework .core .DataType .BFLOAT16 ,
1039- ]
1039+ ]
10401040 elif kind == "complex floating" :
10411041 return is_complex (dtype )
10421042 elif kind == "numeric" :
@@ -1186,8 +1186,7 @@ def _isscalar(a):
11861186 if type (max ) is int and max >= paddle .iinfo (x .dtype ).max :
11871187 max = None
11881188
1189- if out is None :
1190- out = paddle .to_tensor (broadcast_to (x , result_shape ), place = x .place )
1189+ out = paddle .to_tensor (broadcast_to (x , result_shape ), place = x .place )
11911190 if min is not None :
11921191 if paddle .is_tensor (x ) and x .dtype == paddle .float64 and _isscalar (min ):
11931192 # Avoid loss of precision due to paddle defaulting to float32
@@ -1203,7 +1202,7 @@ def _isscalar(a):
12031202 ib = (out > b ) | paddle .isnan (b )
12041203 out [ib ] = astype (b [ib ], out .dtype )
12051204 # Return a scalar for 0-D
1206- return out [()]
1205+ return out
12071206
12081207
12091208def cumulative_sum (
@@ -1340,6 +1339,8 @@ def searchsorted(
13401339 "ones_like" ,
13411340 "full_like" ,
13421341 "asarray" ,
1342+ "ceil" ,
1343+ "floor" ,
13431344]
13441345
13451346_all_ignore = ["paddle" , "get_xp" ]
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