1 files changed, 55 insertions, 0 deletions

diff --git a/numpy/_array_api/_creation_functions.py b/numpy/_array_api/_creation_functions.py
index b74eca060..b6c0c22cc 100644
--- a/numpy/_array_api/_creation_functions.py
+++ b/numpy/_array_api/_creation_functions.py
@@ -1,66 +1,121 @@
 import numpy as np
 
 def arange(start, /, *, stop=None, step=1, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.arange <numpy.arange>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.arange(start, stop=stop, step=step, dtype=dtype)
 
 def empty(shape, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.empty <numpy.empty>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.empty(shape, dtype=dtype)
 
 def empty_like(x, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.empty_like <numpy.empty_like>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.empty_like(x, dtype=dtype)
 
 def eye(N, /, *, M=None, k=0, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.eye <numpy.eye>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.eye(N, M=M, k=k, dtype=dtype)
 
 def full(shape, fill_value, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.full <numpy.full>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.full(shape, fill_value, dtype=dtype)
 
 def full_like(x, fill_value, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.full_like <numpy.full_like>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.full_like(x, fill_value, dtype=dtype)
 
 def linspace(start, stop, num, /, *, dtype=None, device=None, endpoint=True):
+    """
+    Array API compatible wrapper for :py:func:`np.linspace <numpy.linspace>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.linspace(start, stop, num, dtype=dtype, endpoint=endpoint)
 
 def ones(shape, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.ones <numpy.ones>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.ones(shape, dtype=dtype)
 
 def ones_like(x, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.ones_like <numpy.ones_like>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.ones_like(x, dtype=dtype)
 
 def zeros(shape, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.zeros <numpy.zeros>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")
     return np.zeros(shape, dtype=dtype)
 
 def zeros_like(x, /, *, dtype=None, device=None):
+    """
+    Array API compatible wrapper for :py:func:`np.zeros_like <numpy.zeros_like>`.
+
+    See its docstring for more information.
+    """
     if device is not None:
         # Note: Device support is not yet implemented on ndarray
         raise NotImplementedError("Device support is not yet implemented")