undo unnecessary docstrings changes made in my previous commits

numpy · seberg · Jul 12, 2020 · Jun 1, 2020 · Jun 1, 2020 · Jun 1, 2020
commit da249dbb4f93d06556fc742306ac028fbd3c6662
diff --git a/numpy/fft/__init__.py b/numpy/fft/__init__.py
@@ -112,8 +112,8 @@
 The inverse DFT is defined as
 
 .. math::
-   a_m = \\frac{1}{n}\\sum_{k=0}^{n-1}A_k\\exp\\left\\{2\\pi i{mk\\over n}
-   \\right\\}\\qquad m = 0,\\ldots,n-1.
+   a_m = \\frac{1}{n}\\sum_{k=0}^{n-1}A_k\\exp\\left\\{2\\pi i{mk\\over n}\\right\\}
+   \\qquad m = 0,\\ldots,n-1.
 
 It differs from the forward transform by the sign of the exponential
 argument and the default normalization by :math:`1/n`.
@@ -167,8 +167,8 @@
 
 .. math::
    A_{kl} =  \\sum_{m=0}^{M-1} \\sum_{n=0}^{N-1}
-   a_{mn}\\exp\\left\\{-2\\pi i \\left({mk\\over M}+{nl\\over N}\\right)
-   \\right\\}\\qquad k = 0, \\ldots, M-1;\\quad l = 0, \\ldots, N-1,
+   a_{mn}\\exp\\left\\{-2\\pi i \\left({mk\\over M}+{nl\\over N}\\right)\\right\\}
+   \\qquad k = 0, \\ldots, M-1;\\quad l = 0, \\ldots, N-1,
 
 which extends in the obvious way to higher dimensions, and the inverses
 in higher dimensions also extend in the same way.

diff --git a/numpy/fft/_pocketfft.py b/numpy/fft/_pocketfft.py
@@ -1,5 +1,5 @@
 """
-Discrete Fourier Transforms
+Discrete Fourier Transforms.
 
 Routines in this module:
 
@@ -171,8 +171,7 @@ def fft(a, n=None, axis=-1, norm=None):
     >>> sp = np.fft.fft(np.sin(t))
     >>> freq = np.fft.fftfreq(t.shape[-1])
     >>> plt.plot(freq, sp.real, freq, sp.imag)
-    [<matplotlib.lines.Line2D object at 0x...>, <matplotlib.lines.Line2D object
-                    at 0x...>]
+    [<matplotlib.lines.Line2D object at 0x...>, <matplotlib.lines.Line2D object at 0x...>]
     >>> plt.show()
 
     """
@@ -268,8 +267,7 @@ def ifft(a, n=None, axis=-1, norm=None):
     >>> n[40:60] = np.exp(1j*np.random.uniform(0, 2*np.pi, (20,)))
     >>> s = np.fft.ifft(n)
     >>> plt.plot(t, s.real, 'b-', t, s.imag, 'r--')
-    [<matplotlib.lines.Line2D object at ...>, <matplotlib.lines.Line2D object
-                    at ...>]
+    [<matplotlib.lines.Line2D object at ...>, <matplotlib.lines.Line2D object at ...>]
     >>> plt.legend(('real', 'imaginary'))
     <matplotlib.legend.Legend object at ...>
     >>> plt.show()
@@ -547,8 +545,7 @@ def hfft(a, n=None, axis=-1, norm=None):
     --------
     >>> signal = np.array([1, 2, 3, 4, 3, 2])
     >>> np.fft.fft(signal)
-    array([15.+0.j,  -4.+0.j,   0.+0.j,  -1.-0.j,   0.+0.j,  -4.+0.j]) # may
-                    vary
+    array([15.+0.j,  -4.+0.j,   0.+0.j,  -1.-0.j,   0.+0.j,  -4.+0.j]) # may vary
     >>> np.fft.hfft(signal[:4]) # Input first half of signal
     array([15.,  -4.,   0.,  -1.,   0.,  -4.])
     >>> np.fft.hfft(signal, 6)  # Input entire signal and truncate
@@ -944,8 +941,7 @@ def fft2(a, s=None, axes=(-2, -1), norm=None):
     --------
     >>> a = np.mgrid[:5, :5][0]
     >>> np.fft.fft2(a)
-    array([[ 50.  +0.j        ,   0.  +0.j        ,   0.  +0.j        , # may
-                    vary
+    array([[ 50.  +0.j        ,   0.  +0.j        ,   0.  +0.j        , # may vary
               0.  +0.j        ,   0.  +0.j        ],
            [-12.5+17.20477401j,   0.  +0.j        ,   0.  +0.j        ,
               0.  +0.j        ,   0.  +0.j        ],

diff --git a/numpy/fft/tests/test_pocketfft.py b/numpy/fft/tests/test_pocketfft.py
@@ -262,8 +262,8 @@ def worker(args, q):
         [x.join() for x in t]
         # Make sure all threads returned the correct value
         for i in range(self.threads):
-                assert_array_equal(q.get(timeout=5), expected, 'Function returned\
-                            wrong value in multithreade context')
+            assert_array_equal(q.get(timeout=5), expected,
+                    'Function returned wrong value in multithreade context')
 
     def test_fft(self):
         a = np.ones(self.input_shape) * 1+0j