Clean up some wording in the fft extension

src/array_api_stubs/_draft/fft.py

@@ -60,7 +60,7 @@ def fft(
     Returns
     -------
     out: array
-        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a complex floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axis (dimension) indicated by ``axis``. If ``x`` has a complex floating-point data type, the returned array must have the same data type as ``x``. If ``x`` has a real-valued floating-point data type, the returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -111,7 +111,7 @@ def ifft(
     Returns
     -------
     out: array
-        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a complex floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axis (dimension) indicated by ``axis``. If ``x`` has a complex floating-point data type, the returned array must have the same data type as ``x``. If ``x`` has a real-valued floating-point data type, the returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -169,7 +169,7 @@ def fftn(
     Returns
     -------
     out: array
-        an array transformed along the axes (dimension) indicated by ``axes``. The returned array must have a complex floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axes (dimension) indicated by ``axes``. If ``x`` has a complex floating-point data type, the returned array must have the same data type as ``x``. If ``x`` has a real-valued floating-point data type, the returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -227,7 +227,7 @@ def ifftn(
     Returns
     -------
     out: array
-        an array transformed along the axes (dimension) indicated by ``axes``. The returned array must have a complex floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axes (dimension) indicated by ``axes``. If ``x`` has a complex floating-point data type, the returned array must have the same data type as ``x``. If ``x`` has a real-valued floating-point data type, the returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -278,7 +278,7 @@ def rfft(
     Returns
     -------
     out: array
-        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a complex-valued floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -329,7 +329,7 @@ def irfft(
     Returns
     -------
     out: array
-        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`. The length along the transformed axis is ``n`` (if given) or ``2*(m-1)`` (otherwise).
+        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have the same data type as ``x``. The length along the transformed axis is ``n`` (if given) or ``2*(m-1)`` (otherwise).
 
     Notes
     -----
@@ -387,7 +387,7 @@ def rfftn(
     Returns
     -------
     out: array
-        an array transformed along the axes (dimension) indicated by ``axes``. The returned array must have a complex-valued floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axes (dimension) indicated by ``axes``. The returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -445,7 +445,7 @@ def irfftn(
     Returns
     -------
     out: array
-        an array transformed along the axes (dimension) indicated by ``axes``. The returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`. The length along the last transformed axis is ``s[-1]`` (if given) or ``2*(m - 1)`` (otherwise), and all other axes ``s[i]``.
+        an array transformed along the axes (dimension) indicated by ``axes``. The returned array must have a real-valued floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``complex128``, then the returned array must have a ``float64`` data type). The length along the last transformed axis is ``s[-1]`` (if given) or ``2*(m - 1)`` (otherwise), and all other axes ``s[i]``.
 
     Notes
     -----
@@ -493,7 +493,7 @@ def hfft(
     Returns
     -------
     out: array
-        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axis (dimension) indicated by ``axis``. If ``x`` has a complex floating-point data type, the returned array must have the same data type as ``x``. If ``x`` has a real-valued floating-point data type, the returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -541,7 +541,7 @@ def ihfft(
     Returns
     -------
     out: array
-        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a complex-valued floating-point data type determined by :ref:`type-promotion`.
+        an array transformed along the axis (dimension) indicated by ``axis``. The returned array must have a complex floating-point data type whose precision matches the precision of ``x`` (e.g., if ``x`` is ``float64``, then the returned array must have a ``complex128`` data type).
 
     Notes
     -----
@@ -552,7 +552,7 @@ def ihfft(
 
 def fftfreq(n: int, /, *, d: float = 1.0, device: Optional[device] = None) -> array:
     """
-    Returns the discrete Fourier transform sample frequencies.
+    Computes the discrete Fourier transform sample frequencies.
 
     For a Fourier transform of length ``n`` and length unit of ``d`` the frequencies are described as:
 
@@ -573,7 +573,7 @@ def fftfreq(n: int, /, *, d: float = 1.0, device: Optional[device] = None) -> ar
     Returns
     -------
     out: array
-        an array of length ``n`` containing the sample frequencies. The returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`.
+        an array of length ``n`` containing the sample frequencies. The returned array must have the default real-valued floating-point data type.
 
     Notes
     -----
@@ -584,7 +584,7 @@ def fftfreq(n: int, /, *, d: float = 1.0, device: Optional[device] = None) -> ar
 
 def rfftfreq(n: int, /, *, d: float = 1.0, device: Optional[device] = None) -> array:
     """
-    Returns the discrete Fourier transform sample frequencies (for ``rfft`` and ``irfft``).
+    Computes the discrete Fourier transform sample frequencies (for ``rfft`` and ``irfft``).
 
     For a Fourier transform of length ``n`` and length unit of ``d`` the frequencies are described as:
 
@@ -607,7 +607,7 @@ def rfftfreq(n: int, /, *, d: float = 1.0, device: Optional[device] = None) -> a
     Returns
     -------
     out: array
-        an array of length ``n//2+1`` containing the sample frequencies. The returned array must have a real-valued floating-point data type determined by :ref:`type-promotion`.
+        an array of length ``n//2+1`` containing the sample frequencies. The returned array must have the default real-valued floating-point data type.
 
     Notes
     -----