Clean up the NumPy integration test by moving the doctests into the functions that they test.

1 files changed, 225 insertions, 180 deletions

diff --git a/tests/run/numpy_test.pyx b/tests/run/numpy_test.pyx
index 67db2b638..11b72054b 100644
--- a/tests/run/numpy_test.pyx
+++ b/tests/run/numpy_test.pyx
@@ -1,8 +1,11 @@
+# mode: run
 # tag: numpy
 
 cimport numpy as np
 cimport cython
 
+import numpy as np
+
 import re
 
 
@@ -16,6 +19,7 @@ def testcase(f):
     # but is a useful indicator of what functions are designed as tests
     return f
 
+
 if little_endian():
     my_endian = '<'
     other_endian = '>'
@@ -23,17 +27,55 @@ else:
     my_endian = '>'
     other_endian = '<'
 
-try:
-    import numpy as np
-    __doc__ = u"""
 
+def assert_dtype_sizes():
+    """
     >>> assert_dtype_sizes()
+    """
+    assert sizeof(np.int8_t) == 1
+    assert sizeof(np.int16_t) == 2
+    assert sizeof(np.int32_t) == 4
+    assert sizeof(np.int64_t) == 8
+    assert sizeof(np.uint8_t) == 1
+    assert sizeof(np.uint16_t) == 2
+    assert sizeof(np.uint32_t) == 4
+    assert sizeof(np.uint64_t) == 8
+    assert sizeof(np.float32_t) == 4
+    assert sizeof(np.float64_t) == 8
+    assert sizeof(np.complex64_t) == 8
+    assert sizeof(np.complex128_t) == 16
+
 
+@testcase
+def test_enums():
+    """
+    >>> test_enums()
+    """
+    cdef np.NPY_CASTING nc = np.NPY_NO_CASTING
+    assert nc != np.NPY_SAFE_CASTING
+
+
+def ndarray_str(arr):
+    u"""
+    Work around display differences in NumPy 1.14.
+    """
+    return re.sub(ur'\[ +', '[', unicode(arr))
+
+
+def basic():
+    """
     >>> basic()
     [[0 1 2 3 4]
      [5 6 7 8 9]]
     2 0 9 5
+    """
+    cdef object[int, ndim=2] buf = np.arange(10, dtype='i').reshape((2, 5))
+    print buf
+    print buf[0, 2], buf[0, 0], buf[1, 4], buf[1, 0]
 
+
+def three_dim():
+    """
     >>> three_dim()  # doctest: +NORMALIZE_WHITESPACE
     [[[0.   1.   2.   3.]
       [4.   5.   6.   7.]]
@@ -44,11 +86,25 @@ try:
      [[16.  17.  18.  19.]
       [20.  21.  22.  23.]]]
     6.0 0.0 13.0 8.0
+    """
+    cdef object[double, ndim=3] buf = np.arange(24, dtype='d').reshape((3,2,4))
+    print ndarray_str(buf)
+    print buf[0, 1, 2], buf[0, 0, 0], buf[1, 1, 1], buf[1, 0, 0]
+
 
+def obj_array():
+    """
     >>> obj_array()
     [a 1 {}]
     a 1 {}
+    """
+    cdef object[object, ndim=1] buf = np.array(["a", 1, {}])
+    print str(buf).replace('"', '').replace("'", '')
+    print buf[0], buf[1], buf[2]
+
 
+def print_long_2d(np.ndarray[long, ndim=2] arr):
+    """
     Test various forms of slicing, picking etc.
     >>> a = np.arange(10, dtype='l').reshape(2, 5)
     >>> print_long_2d(a)
@@ -78,9 +134,16 @@ try:
     2 7
     3 8
     4 9
+    """
+    cdef int i, j
+    for i in range(arr.shape[0]):
+        print u" ".join([unicode(arr[i, j]) for j in range(arr.shape[1])])
+
 
+def put_range_long_1d(np.ndarray[long] arr):
+    """
     Write to slices
-    >>> b = a.copy()
+    >>> b = np.arange(10, dtype='l').reshape(2, 5)
     >>> put_range_long_1d(b[:, 3])
     >>> print (b)
     [[0 1 2 0 4]
@@ -101,7 +164,16 @@ try:
     >>> print (a)
     [[0 0 0 0 0]
      [0 0 0 0 0]]
+    """
+    # Writes 0,1,2,... to array and returns array
+    cdef int value = 0, i
+    for i in range(arr.shape[0]):
+        arr[i] = value
+        value += 1
+
 
+def test_c_contig(np.ndarray[int, ndim=2, mode='c'] arr):
+    """
     Test contiguous access modes:
     >>> c_arr = np.array(np.arange(12, dtype='i').reshape(3,4), order='C')
     >>> f_arr = np.array(np.arange(12, dtype='i').reshape(3,4), order='F')
@@ -109,200 +181,39 @@ try:
     0 1 2 3
     4 5 6 7
     8 9 10 11
-    >>> test_f_contig(f_arr)
-    0 1 2 3
-    4 5 6 7
-    8 9 10 11
     >>> test_c_contig(f_arr) #doctest: +ELLIPSIS
     Traceback (most recent call last):
        ...
     ValueError: ndarray is not C...contiguous
-    >>> test_f_contig(c_arr) #doctest: +ELLIPSIS
-    Traceback (most recent call last):
-       ...
-    ValueError: ndarray is not Fortran contiguous
     >>> test_c_contig(c_arr[::2,::2]) #doctest: +ELLIPSIS
     Traceback (most recent call last):
        ...
     ValueError: ndarray is not C...contiguous
-
-    >>> test_dtype('?', inc1_bool)
-    >>> test_dtype('b', inc1_byte)
-    >>> test_dtype('B', inc1_ubyte)
-    >>> test_dtype('h', inc1_short)
-    >>> test_dtype('H', inc1_ushort)
-    >>> test_dtype('i', inc1_int)
-    >>> test_dtype('I', inc1_uint)
-    >>> test_dtype('l', inc1_long)
-    >>> test_dtype('L', inc1_ulong)
-
-    >>> test_dtype('f', inc1_float)
-    >>> test_dtype('d', inc1_double)
-    >>> test_dtype('g', inc1_longdouble)
-    >>> test_dtype('O', inc1_object)
-    >>> test_dtype('F', inc1_cfloat) # numpy format codes differ from buffer ones here
-    >>> test_dtype('D', inc1_cdouble)
-    >>> test_dtype('G', inc1_clongdouble)
-    >>> test_dtype('F', inc1_cfloat_struct)
-    >>> test_dtype('D', inc1_cdouble_struct)
-    >>> test_dtype('G', inc1_clongdouble_struct)
-
-    >>> test_dtype(np.int, inc1_int_t)
-    >>> test_dtype(np.longlong, inc1_longlong_t)
-    >>> test_dtype(np.float, inc1_float_t)
-    >>> test_dtype(np.double, inc1_double_t)
-    >>> test_dtype(np.intp, inc1_intp_t)
-    >>> test_dtype(np.uintp, inc1_uintp_t)
-
-    >>> test_dtype(np.longdouble, inc1_longdouble_t)
-
-    >>> test_dtype(np.int32, inc1_int32_t)
-    >>> test_dtype(np.float64, inc1_float64_t)
-
-    Endian tests:
-    >>> test_dtype('%si' % my_endian, inc1_int)
-    >>> test_dtype('%si' % other_endian, inc1_int)  #doctest: +ELLIPSIS
-    Traceback (most recent call last):
-       ...
-    ValueError: ...
-
-
-
-    >>> test_recordarray()
-
-    >>> print(test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
-            ('a', np.dtype('i,i')),\
-            ('b', np.dtype('i,i'))\
-        ]))))                              # doctest: +NORMALIZE_WHITESPACE
-    array([((0, 0), (0, 0)), ((1, 2), (1, 4)), ((1, 2), (1, 4))],
-          dtype=[('a', [('f0', '!i4'), ('f1', '!i4')]), ('b', [('f0', '!i4'), ('f1', '!i4')])])
-
-    >>> print(test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
-            ('a', np.dtype('i,f')),\
-            ('b', np.dtype('i,i'))\
-        ]))))
-    Traceback (most recent call last):
-        ...
-    ValueError: Buffer dtype mismatch, expected 'int' but got 'float' in 'DoubleInt.y'
-
-    >>> print(test_packed_align(np.zeros((1,), dtype=np.dtype('b,i', align=False))))
-    [(22, 23)]
-
-
-    The output changed in Python 3:
-    >> print(test_unpacked_align(np.zeros((1,), dtype=np.dtype('b,i', align=True))))
-    array([(22, 23)],
-          dtype=[('f0', '|i1'), ('', '|V3'), ('f1', '!i4')])
-
-    ->
-
-    array([(22, 23)],
-          dtype={'names':['f0','f1'], 'formats':['i1','!i4'], 'offsets':[0,4], 'itemsize':8, 'aligned':True})
-
-
-    >>> print(test_unpacked_align(np.zeros((1,), dtype=np.dtype('b,i', align=True))))
-    [(22, 23)]
-
-    >>> print(test_packed_align(np.zeros((1,), dtype=np.dtype('b,i', align=True)))) #doctest: +ELLIPSIS
-    Traceback (most recent call last):
-        ...
-    ValueError: ...
-
-    >>> print(test_unpacked_align(np.zeros((1,), dtype=np.dtype('b,i', align=False)))) #doctest: +ELLIPSIS
-    Traceback (most recent call last):
-        ...
-    ValueError: ...
-
-
-    >>> test_good_cast()
-    True
-    >>> test_bad_cast()
-    Traceback (most recent call last):
-        ...
-    ValueError: Item size of buffer (1 byte) does not match size of 'int' (4 bytes)
-
-    >>> test_complextypes()
-    1,1
-    1,1
-    8,16
-
-    >>> test_point_record()         # doctest: +NORMALIZE_WHITESPACE
-    array([(0., 0.), (1., -1.), (2., -2.)],
-          dtype=[('x', '!f8'), ('y', '!f8')])
-
-"""
-except:
-    __doc__ = u""
-
-
-def assert_dtype_sizes():
-    assert sizeof(np.int8_t) == 1
-    assert sizeof(np.int16_t) == 2
-    assert sizeof(np.int32_t) == 4
-    assert sizeof(np.int64_t) == 8
-    assert sizeof(np.uint8_t) == 1
-    assert sizeof(np.uint16_t) == 2
-    assert sizeof(np.uint32_t) == 4
-    assert sizeof(np.uint64_t) == 8
-    assert sizeof(np.float32_t) == 4
-    assert sizeof(np.float64_t) == 8
-    assert sizeof(np.complex64_t) == 8
-    assert sizeof(np.complex128_t) == 16
-
-
-@testcase
-def test_enums():
-    """
-    >>> test_enums()
     """
-    cdef np.NPY_CASTING nc = np.NPY_NO_CASTING
-    assert nc != np.NPY_SAFE_CASTING
-
-
-def ndarray_str(arr):
-    u"""
-    Work around display differences in NumPy 1.14.
-    """
-    return re.sub(ur'\[ +', '[', unicode(arr))
-
-def basic():
-    cdef object[int, ndim=2] buf = np.arange(10, dtype='i').reshape((2, 5))
-    print buf
-    print buf[0, 2], buf[0, 0], buf[1, 4], buf[1, 0]
-
-def three_dim():
-    cdef object[double, ndim=3] buf = np.arange(24, dtype='d').reshape((3,2,4))
-    print ndarray_str(buf)
-    print buf[0, 1, 2], buf[0, 0, 0], buf[1, 1, 1], buf[1, 0, 0]
-
-def obj_array():
-    cdef object[object, ndim=1] buf = np.array(["a", 1, {}])
-    print str(buf).replace('"', '').replace("'", '')
-    print buf[0], buf[1], buf[2]
-
-
-def print_long_2d(np.ndarray[long, ndim=2] arr):
     cdef int i, j
     for i in range(arr.shape[0]):
         print u" ".join([unicode(arr[i, j]) for j in range(arr.shape[1])])
 
-def put_range_long_1d(np.ndarray[long] arr):
-    u"""Writes 0,1,2,... to array and returns array"""
-    cdef int value = 0, i
-    for i in range(arr.shape[0]):
-        arr[i] = value
-        value += 1
-
-def test_c_contig(np.ndarray[int, ndim=2, mode='c'] arr):
-    cdef int i, j
-    for i in range(arr.shape[0]):
-        print u" ".join([unicode(arr[i, j]) for j in range(arr.shape[1])])
 
 def test_f_contig(np.ndarray[int, ndim=2, mode='fortran'] arr):
+    """
+    Test contiguous access modes:
+    >>> c_arr = np.array(np.arange(12, dtype='i').reshape(3,4), order='C')
+    >>> f_arr = np.array(np.arange(12, dtype='i').reshape(3,4), order='F')
+    >>> test_f_contig(f_arr)
+    0 1 2 3
+    4 5 6 7
+    8 9 10 11
+    >>> test_f_contig(c_arr) #doctest: +ELLIPSIS
+    Traceback (most recent call last):
+       ...
+    ValueError: ndarray is not Fortran contiguous
+    """
     cdef int i, j
     for i in range(arr.shape[0]):
         print u" ".join([unicode(arr[i, j]) for j in range(arr.shape[1])])
 
+
 # Exhaustive dtype tests -- increments element [1] by 1 (or 1+1j) for all dtypes
 def inc1_bool(np.ndarray[unsigned char] arr):           arr[1] += 1
 def inc1_byte(np.ndarray[char] arr):                    arr[1] += 1
@@ -343,7 +254,6 @@ def inc1_object(np.ndarray[object] arr):
     o += 1
     arr[1] = o # unfortunately, += segfaults for objects
 
-
 def inc1_int_t(np.ndarray[np.int_t] arr):               arr[1] += 1
 def inc1_long_t(np.ndarray[np.long_t] arr):             arr[1] += 1
 def inc1_longlong_t(np.ndarray[np.longlong_t] arr):     arr[1] += 1
@@ -359,6 +269,47 @@ def inc1_float64_t(np.ndarray[np.float64_t] arr):       arr[1] += 1
 
 
 def test_dtype(dtype, inc1):
+    """
+    >>> test_dtype('?', inc1_bool)
+    >>> test_dtype('b', inc1_byte)
+    >>> test_dtype('B', inc1_ubyte)
+    >>> test_dtype('h', inc1_short)
+    >>> test_dtype('H', inc1_ushort)
+    >>> test_dtype('i', inc1_int)
+    >>> test_dtype('I', inc1_uint)
+    >>> test_dtype('l', inc1_long)
+    >>> test_dtype('L', inc1_ulong)
+
+    >>> test_dtype('f', inc1_float)
+    >>> test_dtype('d', inc1_double)
+    >>> test_dtype('g', inc1_longdouble)
+    >>> test_dtype('O', inc1_object)
+    >>> test_dtype('F', inc1_cfloat) # numpy format codes differ from buffer ones here
+    >>> test_dtype('D', inc1_cdouble)
+    >>> test_dtype('G', inc1_clongdouble)
+    >>> test_dtype('F', inc1_cfloat_struct)
+    >>> test_dtype('D', inc1_cdouble_struct)
+    >>> test_dtype('G', inc1_clongdouble_struct)
+
+    >>> test_dtype(np.int, inc1_int_t)
+    >>> test_dtype(np.longlong, inc1_longlong_t)
+    >>> test_dtype(np.float, inc1_float_t)
+    >>> test_dtype(np.double, inc1_double_t)
+    >>> test_dtype(np.intp, inc1_intp_t)
+    >>> test_dtype(np.uintp, inc1_uintp_t)
+
+    >>> test_dtype(np.longdouble, inc1_longdouble_t)
+
+    >>> test_dtype(np.int32, inc1_int32_t)
+    >>> test_dtype(np.float64, inc1_float64_t)
+
+    Endian tests:
+    >>> test_dtype('%si' % my_endian, inc1_int)
+    >>> test_dtype('%si' % other_endian, inc1_int)  #doctest: +ELLIPSIS
+    Traceback (most recent call last):
+       ...
+    ValueError: ...
+    """
     if dtype in ("g", np.longdouble,
                  "G", np.clongdouble):
         if sizeof(double) == sizeof(long double): # MSVC
@@ -379,10 +330,14 @@ def test_dtype(dtype, inc1):
         inc1(a)
         if a[1] != 11: print u"failed!"
 
+
 cdef struct DoubleInt:
     int x, y
 
 def test_recordarray():
+    """
+    >>> test_recordarray()
+    """
     cdef object[DoubleInt] arr
     arr = np.array([(5,5), (4, 6)], dtype=np.dtype('i,i'))
     cdef DoubleInt rec
@@ -398,6 +353,7 @@ def test_recordarray():
     if arr[1].x != 5: print u"failed"
     if arr[1].y != 10: print u"failed"
 
+
 cdef struct NestedStruct:
     DoubleInt a
     DoubleInt b
@@ -411,6 +367,22 @@ cdef struct BadNestedStruct:
     BadDoubleInt b
 
 def test_nested_dtypes(obj):
+    """
+    >>> print(test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
+            ('a', np.dtype('i,i')),\
+            ('b', np.dtype('i,i'))\
+        ]))))                              # doctest: +NORMALIZE_WHITESPACE
+    array([((0, 0), (0, 0)), ((1, 2), (1, 4)), ((1, 2), (1, 4))],
+          dtype=[('a', [('f0', '!i4'), ('f1', '!i4')]), ('b', [('f0', '!i4'), ('f1', '!i4')])])
+
+    >>> print(test_nested_dtypes(np.zeros((3,), dtype=np.dtype([\
+            ('a', np.dtype('i,f')),\
+            ('b', np.dtype('i,i'))\
+        ]))))
+    Traceback (most recent call last):
+        ...
+    ValueError: Buffer dtype mismatch, expected 'int' but got 'float' in 'DoubleInt.y'
+    """
     cdef object[NestedStruct] arr = obj
     arr[1].a.x = 1
     arr[1].a.y = 2
@@ -419,19 +391,36 @@ def test_nested_dtypes(obj):
     arr[2] = arr[1]
     return repr(arr).replace('<', '!').replace('>', '!')
 
+
 def test_bad_nested_dtypes():
+    """
+    >>> test_bad_nested_dtypes()
+    """
     cdef object[BadNestedStruct] arr
 
+
 def test_good_cast():
+    """
+    >>> test_good_cast()
+    True
+    """
     # Check that a signed int can round-trip through casted unsigned int access
     cdef np.ndarray[unsigned int, cast=True] arr = np.array([-100], dtype='i')
     cdef unsigned int data = arr[0]
     return -100 == <int>data
 
+
 def test_bad_cast():
+    """
+    >>> test_bad_cast()
+    Traceback (most recent call last):
+        ...
+    ValueError: Item size of buffer (1 byte) does not match size of 'int' (4 bytes)
+    """
     # This should raise an exception
     cdef np.ndarray[int, cast=True] arr = np.array([1], dtype='b')
 
+
 cdef packed struct PackedStruct:
     char a
     int b
@@ -453,16 +442,45 @@ cdef packed struct PartiallyPackedStruct2:
     UnpackedStruct sub
 
 def test_packed_align(np.ndarray[PackedStruct] arr):
+    """
+    >>> print(test_packed_align(np.zeros((1,), dtype=np.dtype('b,i', align=False))))
+    [(22, 23)]
+    >>> print(test_packed_align(np.zeros((1,), dtype=np.dtype('b,i', align=True)))) #doctest: +ELLIPSIS
+    Traceback (most recent call last):
+        ...
+    ValueError: ...
+    """
     arr[0].a = 22
     arr[0].b = 23
     return list(arr)
 
+
 def test_unpacked_align(np.ndarray[UnpackedStruct] arr):
+    """
+    The output changed in Python 3:
+    >> print(test_unpacked_align(np.zeros((1,), dtype=np.dtype('b,i', align=True))))
+    array([(22, 23)],
+          dtype=[('f0', '|i1'), ('', '|V3'), ('f1', '!i4')])
+
+    ->
+
+    array([(22, 23)],
+          dtype={'names':['f0','f1'], 'formats':['i1','!i4'], 'offsets':[0,4], 'itemsize':8, 'aligned':True})
+
+
+    >>> print(test_unpacked_align(np.zeros((1,), dtype=np.dtype('b,i', align=True))))
+    [(22, 23)]
+    >>> print(test_unpacked_align(np.zeros((1,), dtype=np.dtype('b,i', align=False)))) #doctest: +ELLIPSIS
+    Traceback (most recent call last):
+        ...
+    ValueError: ...
+    """
     arr[0].a = 22
     arr[0].b = 23
     # return repr(arr).replace('<', '!').replace('>', '!')
     return list(arr)
 
+
 def test_partially_packed_align(np.ndarray[PartiallyPackedStruct] arr):
     arr[0].a = 22
     arr[0].b = 23
@@ -471,6 +489,7 @@ def test_partially_packed_align(np.ndarray[PartiallyPackedStruct] arr):
     arr[0].c = 26
     return repr(arr).replace('<', '!').replace('>', '!')
 
+
 def test_partially_packed_align_2(np.ndarray[PartiallyPackedStruct2] arr):
     arr[0].a = 22
     arr[0].b = 23
@@ -479,7 +498,14 @@ def test_partially_packed_align_2(np.ndarray[PartiallyPackedStruct2] arr):
     arr[0].sub.b = 28
     return repr(arr).replace('<', '!').replace('>', '!')
 
+
 def test_complextypes():
+    """
+    >>> test_complextypes()
+    1,1
+    1,1
+    8,16
+    """
     cdef np.complex64_t x64 = 1, y64 = 1j
     cdef np.complex128_t x128 = 1, y128 = 1j
     x64 = x64 + y64
@@ -493,6 +519,11 @@ cdef struct Point:
     np.float64_t x, y
 
 def test_point_record():
+    """
+    >>> test_point_record()         # doctest: +NORMALIZE_WHITESPACE
+    array([(0., 0.), (1., -1.), (2., -2.)],
+          dtype=[('x', '!f8'), ('y', '!f8')])
+    """
     cdef np.ndarray[Point] test
     Point_dtype = np.dtype([('x', np.float64), ('y', np.float64)])
     test = np.zeros(3, Point_dtype)
@@ -504,6 +535,7 @@ def test_point_record():
         r'\.0+\b', '.', repr(test).replace('<', '!').replace('>', '!')
                                   .replace('( ', '(').replace(',  ', ', '))
 
+
 # Test fused np.ndarray dtypes and runtime dispatch
 @testcase
 def test_fused_ndarray_floating_dtype(np.ndarray[cython.floating, ndim=1] a):
@@ -536,6 +568,7 @@ cdef fused fused_external:
     np.float32_t
     np.float64_t
 
+
 @testcase
 def test_fused_external(np.ndarray[fused_external, ndim=1] a):
     """
@@ -554,6 +587,7 @@ def test_fused_external(np.ndarray[fused_external, ndim=1] a):
     """
     print a.dtype
 
+
 cdef fused fused_buffers:
     np.ndarray[np.int32_t, ndim=1]
     np.int64_t[::1]
@@ -565,6 +599,7 @@ def test_fused_buffers(fused_buffers arg):
     ['int64_t[::1]', 'ndarray[int32_t,ndim=1]']
     """
 
+
 cpdef _fused_cpdef_buffers(np.ndarray[fused_external] a):
     print a.dtype
 
@@ -580,6 +615,7 @@ def test_fused_cpdef_buffers():
     cdef np.ndarray[np.int32_t] typed_array = int32_array
     _fused_cpdef_buffers(typed_array)
 
+
 @testcase
 def test_fused_ndarray_integral_dtype(np.ndarray[cython.integral, ndim=1] a):
     """
@@ -602,6 +638,7 @@ def test_fused_ndarray_integral_dtype(np.ndarray[cython.integral, ndim=1] a):
     # select different integer types with equal sizeof()
     print a[5], b[6]
 
+
 cdef fused fused_dtype:
     float complex
     double complex
@@ -668,6 +705,7 @@ def test_fused_ndarray(fused_ndarray a):
     else:
         print b[5]
 
+
 cpdef test_fused_cpdef_ndarray(fused_ndarray a):
     """
     >>> import cython
@@ -692,6 +730,7 @@ cpdef test_fused_cpdef_ndarray(fused_ndarray a):
     else:
         print b[5]
 
+
 def test_fused_cpdef_ndarray_cdef_call():
     """
     >>> test_fused_cpdef_ndarray_cdef_call()
@@ -701,6 +740,7 @@ def test_fused_cpdef_ndarray_cdef_call():
     cdef np.ndarray[Foo, ndim=1] foo_array = get_Foo_array()
     test_fused_cpdef_ndarray(foo_array)
 
+
 cdef fused int_type:
     np.int32_t
     np.int64_t
@@ -729,6 +769,7 @@ def test_dispatch_non_clashing_declarations_repeating_types(np.ndarray[cython.fl
     """
     print a1[1], a2[2], a3[3], a4[4]
 
+
 ctypedef np.int32_t typedeffed_type
 
 cdef fused typedeffed_fused_type:
@@ -763,6 +804,7 @@ def test_dispatch_external_typedef(np.ndarray[confusing_fused_typedef] a):
     """
     print a[3]
 
+
 # test fused memoryview slices
 cdef fused memslice_fused_dtype:
     float
@@ -793,6 +835,7 @@ def test_fused_memslice_other_dtypes(memslice_fused_dtype[:] a):
     cdef memslice_fused_dtype[:] b = a
     print cython.typeof(a), cython.typeof(b), a[5], b[6]
 
+
 cdef fused memslice_fused:
     float[:]
     double[:]
@@ -822,6 +865,7 @@ def test_fused_memslice(memslice_fused a):
     cdef memslice_fused b = a
     print cython.typeof(a), cython.typeof(b), a[5], b[6]
 
+
 @testcase
 def test_dispatch_memoryview_object():
     """
@@ -833,6 +877,7 @@ def test_dispatch_memoryview_object():
     cdef int[:] m3 = <object> m
     test_fused_memslice(m3)
 
+
 cdef fused ndim_t:
     double[:]
     double[:, :]