From 0142a2292c3d3bfa56a987d576a9678be0f56931 Mon Sep 17 00:00:00 2001 From: Wulian233 <71213467+Wulian233@users.noreply.github.com> Date: Thu, 16 May 2024 13:16:34 +0800 Subject: [PATCH] Fix typos in test_buffer.py and update numpy issue links (#118963) --- Lib/test/test_buffer.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/Lib/test/test_buffer.py b/Lib/test/test_buffer.py index 5b1b95b9c82..ae938d12c94 100644 --- a/Lib/test/test_buffer.py +++ b/Lib/test/test_buffer.py @@ -130,10 +130,10 @@ if struct: for fmt in fmtdict['@']: fmtdict['@'][fmt] = native_type_range(fmt) -# Format codes suppported by the memoryview object +# Format codes supported by the memoryview object MEMORYVIEW = NATIVE.copy() -# Format codes suppported by array.array +# Format codes supported by array.array ARRAY = NATIVE.copy() for k in NATIVE: if not k in "bBhHiIlLfd": @@ -168,7 +168,7 @@ def randrange_fmt(mode, char, obj): if char == 'c': x = bytes([x]) if obj == 'numpy' and x == b'\x00': - # http://projects.scipy.org/numpy/ticket/1925 + # https://github.com/numpy/numpy/issues/2518 x = b'\x01' if char == '?': x = bool(x) @@ -1918,7 +1918,7 @@ class TestBufferProtocol(unittest.TestCase): if numpy_array: shape = t[3] if 0 in shape: - continue # http://projects.scipy.org/numpy/ticket/1910 + continue # https://github.com/numpy/numpy/issues/2503 z = numpy_array_from_structure(items, fmt, t) self.verify(x, obj=None, itemsize=z.itemsize, fmt=fmt, readonly=False, @@ -1950,7 +1950,7 @@ class TestBufferProtocol(unittest.TestCase): except Exception as e: numpy_err = e.__class__ - if 0: # http://projects.scipy.org/numpy/ticket/1910 + if 0: # https://github.com/numpy/numpy/issues/2503 self.assertTrue(numpy_err) def test_ndarray_random_slice_assign(self): @@ -1996,7 +1996,7 @@ class TestBufferProtocol(unittest.TestCase): if numpy_array: if 0 in lshape or 0 in rshape: - continue # http://projects.scipy.org/numpy/ticket/1910 + continue # https://github.com/numpy/numpy/issues/2503 zl = numpy_array_from_structure(litems, fmt, tl) zr = numpy_array_from_structure(ritems, fmt, tr)