Change some instances of "np.array_api" to "array_api_strict"

Author: asmeurer

array_api_strict/_array_object.py

@@ -5,8 +5,8 @@
 particular, type promotion rules are different (the standard has no
 value-based casting). The standard also specifies a more limited subset of
 array methods and functionalities than are implemented on ndarray. Since the
-goal of the array_api namespace is to be a minimal implementation of the array
-API standard, we need to define a separate wrapper class for the array_api
+goal of the array_api_strict namespace is to be a minimal implementation of the array
+API standard, we need to define a separate wrapper class for the array_api_strict
 namespace.
 
 The standard compliant class is only a wrapper class. It is *not* a subclass
@@ -73,7 +73,7 @@ def _new(cls, x, /):
         This is a private method for initializing the array API Array
         object.
 
-        Functions outside of the array_api submodule should not use this
+        Functions outside of the array_api_strict module should not use this
         method. Use one of the creation functions instead, such as
         ``asarray``.
 
@@ -86,7 +86,7 @@ def _new(cls, x, /):
         _dtype = _DType(x.dtype)
         if _dtype not in _all_dtypes:
             raise TypeError(
-                f"The array_api namespace does not support the dtype '{x.dtype}'"
+                f"The array_api_strict namespace does not support the dtype '{x.dtype}'"
             )
         obj._array = x
         obj._dtype = _dtype
@@ -95,7 +95,7 @@ def _new(cls, x, /):
     # Prevent Array() from working
     def __new__(cls, *args, **kwargs):
         raise TypeError(
-            "The array_api Array object should not be instantiated directly. Use an array creation function, such as asarray(), instead."
+            "The array_api_strict Array object should not be instantiated directly. Use an array creation function, such as asarray(), instead."
         )
 
     # These functions are not required by the spec, but are implemented for
@@ -121,7 +121,7 @@ def __repr__(self: Array, /) -> str:
         return prefix + mid + suffix
 
     # This function is not required by the spec, but we implement it here for
-    # convenience so that np.asarray(np.array_api.Array) will work.
+    # convenience so that np.asarray(array_api_strict.Array) will work.
     def __array__(self, dtype: None | np.dtype[Any] = None) -> npt.NDArray[Any]:
         """
         Warning: this method is NOT part of the array API spec. Implementers
@@ -338,7 +338,7 @@ def _validate_index(self, key):
             if i is not None:
                 nonexpanding_key.append(i)
                 if isinstance(i, np.ndarray):
-                    raise IndexError("Index arrays for np.array_api must be np.array_api arrays")
+                    raise IndexError("Index arrays for array_api_strict must be array_api_strict arrays")
                 if isinstance(i, Array):
                     if i.dtype in _boolean_dtypes:
                         key_has_mask = True
@@ -571,7 +571,7 @@ def __getitem__(
         # docstring of _validate_index
         self._validate_index(key)
         if isinstance(key, Array):
-            # Indexing self._array with array_api arrays can be erroneous
+            # Indexing self._array with array_api_strict arrays can be erroneous
             key = key._array
         res = self._array.__getitem__(key)
         return self._new(res)
@@ -761,7 +761,7 @@ def __setitem__(
         # docstring of _validate_index
         self._validate_index(key)
         if isinstance(key, Array):
-            # Indexing self._array with array_api arrays can be erroneous
+            # Indexing self._array with array_api_strict arrays can be erroneous
             key = key._array
         self._array.__setitem__(key, asarray(value)._array)
 

array_api_strict/_dtypes.py

@@ -11,7 +11,7 @@ def __init__(self, np_dtype):
         self._np_dtype = np_dtype
 
     def __repr__(self):
-        return f"np.array_api.{self._np_dtype.name}"
+        return f"array_api_strict.{self._np_dtype.name}"
 
     def __eq__(self, other):
         # See https://github.com/numpy/numpy/pull/25370/files#r1423259515.