Remove error ignoring in the array API namespace

The array API requires that elementwise functions always give a value, like
nan. However, it doesn't specify that the functions need not give warnings. It
is possible here to still break things by manually changing warnings into
errors with np.seterr(), but this is considered unsupported behavior.

1 files changed, 0 insertions, 25 deletions

diff --git a/numpy/_array_api/_elementwise_functions.py b/numpy/_array_api/_elementwise_functions.py
index 0d955b614..ade2aab0c 100644
--- a/numpy/_array_api/_elementwise_functions.py
+++ b/numpy/_array_api/_elementwise_functions.py
@@ -18,7 +18,6 @@ def abs(x: Array, /) -> Array:
     return Array._new(np.abs(x._array))
 
 # Note: the function name is different here
-@np.errstate(all='ignore')
 def acos(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.arccos <numpy.arccos>`.
@@ -30,7 +29,6 @@ def acos(x: Array, /) -> Array:
     return Array._new(np.arccos(x._array))
 
 # Note: the function name is different here
-@np.errstate(all='ignore')
 def acosh(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.arccosh <numpy.arccosh>`.
@@ -41,7 +39,6 @@ def acosh(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in acosh')
     return Array._new(np.arccosh(x._array))
 
-@np.errstate(all='ignore')
 def add(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.add <numpy.add>`.
@@ -54,7 +51,6 @@ def add(x1: Array, x2: Array, /) -> Array:
     return Array._new(np.add(x1._array, x2._array))
 
 # Note: the function name is different here
-@np.errstate(all='ignore')
 def asin(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.arcsin <numpy.arcsin>`.
@@ -66,7 +62,6 @@ def asin(x: Array, /) -> Array:
     return Array._new(np.arcsin(x._array))
 
 # Note: the function name is different here
-@np.errstate(all='ignore')
 def asinh(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.arcsinh <numpy.arcsinh>`.
@@ -101,7 +96,6 @@ def atan2(x1: Array, x2: Array, /) -> Array:
     return Array._new(np.arctan2(x1._array, x2._array))
 
 # Note: the function name is different here
-@np.errstate(all='ignore')
 def atanh(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.arctanh <numpy.arctanh>`.
@@ -199,7 +193,6 @@ def ceil(x: Array, /) -> Array:
         return x
     return Array._new(np.ceil(x._array))
 
-@np.errstate(all='ignore')
 def cos(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.cos <numpy.cos>`.
@@ -210,7 +203,6 @@ def cos(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in cos')
     return Array._new(np.cos(x._array))
 
-@np.errstate(all='ignore')
 def cosh(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.cosh <numpy.cosh>`.
@@ -221,7 +213,6 @@ def cosh(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in cosh')
     return Array._new(np.cosh(x._array))
 
-@np.errstate(all='ignore')
 def divide(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.divide <numpy.divide>`.
@@ -242,7 +233,6 @@ def equal(x1: Array, x2: Array, /) -> Array:
     x1, x2 = Array._normalize_two_args(x1, x2)
     return Array._new(np.equal(x1._array, x2._array))
 
-@np.errstate(all='ignore')
 def exp(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.exp <numpy.exp>`.
@@ -253,7 +243,6 @@ def exp(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in exp')
     return Array._new(np.exp(x._array))
 
-@np.errstate(all='ignore')
 def expm1(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.expm1 <numpy.expm1>`.
@@ -277,7 +266,6 @@ def floor(x: Array, /) -> Array:
         return x
     return Array._new(np.floor(x._array))
 
-@np.errstate(all='ignore')
 def floor_divide(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.floor_divide <numpy.floor_divide>`.
@@ -363,7 +351,6 @@ def less_equal(x1: Array, x2: Array, /) -> Array:
     x1, x2 = Array._normalize_two_args(x1, x2)
     return Array._new(np.less_equal(x1._array, x2._array))
 
-@np.errstate(all='ignore')
 def log(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.log <numpy.log>`.
@@ -374,7 +361,6 @@ def log(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in log')
     return Array._new(np.log(x._array))
 
-@np.errstate(all='ignore')
 def log1p(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.log1p <numpy.log1p>`.
@@ -385,7 +371,6 @@ def log1p(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in log1p')
     return Array._new(np.log1p(x._array))
 
-@np.errstate(all='ignore')
 def log2(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.log2 <numpy.log2>`.
@@ -396,7 +381,6 @@ def log2(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in log2')
     return Array._new(np.log2(x._array))
 
-@np.errstate(all='ignore')
 def log10(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.log10 <numpy.log10>`.
@@ -461,7 +445,6 @@ def logical_xor(x1: Array, x2: Array, /) -> Array:
     x1, x2 = Array._normalize_two_args(x1, x2)
     return Array._new(np.logical_xor(x1._array, x2._array))
 
-@np.errstate(all='ignore')
 def multiply(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.multiply <numpy.multiply>`.
@@ -503,7 +486,6 @@ def positive(x: Array, /) -> Array:
     return Array._new(np.positive(x._array))
 
 # Note: the function name is different here
-@np.errstate(all='ignore')
 def pow(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.power <numpy.power>`.
@@ -515,7 +497,6 @@ def pow(x1: Array, x2: Array, /) -> Array:
     x1, x2 = Array._normalize_two_args(x1, x2)
     return Array._new(np.power(x1._array, x2._array))
 
-@np.errstate(all='ignore')
 def remainder(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.remainder <numpy.remainder>`.
@@ -547,7 +528,6 @@ def sign(x: Array, /) -> Array:
         raise TypeError('Only numeric dtypes are allowed in sign')
     return Array._new(np.sign(x._array))
 
-@np.errstate(all='ignore')
 def sin(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.sin <numpy.sin>`.
@@ -558,7 +538,6 @@ def sin(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in sin')
     return Array._new(np.sin(x._array))
 
-@np.errstate(all='ignore')
 def sinh(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.sinh <numpy.sinh>`.
@@ -569,7 +548,6 @@ def sinh(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in sinh')
     return Array._new(np.sinh(x._array))
 
-@np.errstate(all='ignore')
 def square(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.square <numpy.square>`.
@@ -580,7 +558,6 @@ def square(x: Array, /) -> Array:
         raise TypeError('Only numeric dtypes are allowed in square')
     return Array._new(np.square(x._array))
 
-@np.errstate(all='ignore')
 def sqrt(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.sqrt <numpy.sqrt>`.
@@ -591,7 +568,6 @@ def sqrt(x: Array, /) -> Array:
         raise TypeError('Only floating-point dtypes are allowed in sqrt')
     return Array._new(np.sqrt(x._array))
 
-@np.errstate(all='ignore')
 def subtract(x1: Array, x2: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.subtract <numpy.subtract>`.
@@ -603,7 +579,6 @@ def subtract(x1: Array, x2: Array, /) -> Array:
     x1, x2 = Array._normalize_two_args(x1, x2)
     return Array._new(np.subtract(x1._array, x2._array))
 
-@np.errstate(all='ignore')
 def tan(x: Array, /) -> Array:
     """
     Array API compatible wrapper for :py:func:`np.tan <numpy.tan>`.