more fixes for NumPy2

tests/run/numpy_pythran.pyx

@@ -9,7 +9,7 @@ def diffuse():
     """
     >>> u = diffuse()
     >>> count_non_zero = np.sum(u > 0)
-    >>> 850 < count_non_zero < (2**5) * (2**5) or count_non_zero
+    >>> bool(850 < count_non_zero < (2**5) * (2**5)) or count_non_zero
     True
     """
     lx, ly = (2**5, 2**5)
@@ -40,7 +40,7 @@ def calculate_tax(cnp.ndarray[double, ndim=1] d):
     >>> np.random.seed(1234)
     >>> d = np.random.lognormal(mu, sigma, 10000)
     >>> avg = calculate_tax(d)
-    >>> 0.243 < avg < 0.244 or avg  # 0.24342652180085891
+    >>> bool(0.243 < avg < 0.244) or avg  # 0.24342652180085891
     True
     """
     tax_seg1 = d[(d > 256303)] * 0.45 - 16164.53

tests/run/numpy_pythran_unit.pyx

@@ -19,7 +19,7 @@ def power(np.ndarray[double, ndim=1] values):
     """
     >>> a = np.array([0., 1., 2.])
     >>> res = power(a)
-    >>> res[0], res[1], res[2]
+    >>> float(res[0]), float(res[1]), float(res[2])
     (0.0, 1.0, 8.0)
     """
     return values ** 3

tests/run/numpy_test.pyx

@@ -236,12 +236,12 @@ def inc1_cdouble(np.ndarray[double complex] arr):          arr[1] = (arr[1] + 1)
 def inc1_clongdouble(np.ndarray[long double complex] arr): arr[1] = arr[1] + (1 + 1j)
 
 def inc1_cfloat_struct(np.ndarray[np.cfloat_t] arr):
-    arr[1].real += 1
-    arr[1].imag += 1
+    arr[1].real = arr[1].real + 1
+    arr[1].imag = arr[1].imag + 1
 
 def inc1_cdouble_struct(np.ndarray[np.cdouble_t] arr):
-    arr[1].real += 1
-    arr[1].imag += 1
+    arr[1].real = arr[1].real + 1
+    arr[1].imag = arr[1].imag + 1
 
 def inc1_clongdouble_struct(np.ndarray[np.clongdouble_t] arr):
     cdef long double x
@@ -291,7 +291,7 @@ def test_dtype(dtype, inc1):
     >>> test_dtype('G', inc1_clongdouble_struct)
 
     >>> test_dtype(np.longlong, inc1_longlong_t)
-    >>> test_dtype(np.float_, inc1_float_t)
+    >>> test_dtype(np.float64, inc1_float_t)
     >>> test_dtype(np.double, inc1_double_t)
     >>> test_dtype(np.intp, inc1_intp_t)
     >>> test_dtype(np.uintp, inc1_uintp_t)
@@ -450,7 +450,7 @@ def test_packed_align(np.ndarray[PackedStruct] arr):
     """
     arr[0].a = 22
     arr[0].b = 23
-    return list(arr)
+    return arr.tolist()
 
 
 def test_unpacked_align(np.ndarray[UnpackedStruct] arr):
@@ -476,7 +476,7 @@ def test_unpacked_align(np.ndarray[UnpackedStruct] arr):
     arr[0].a = 22
     arr[0].b = 23
     # return repr(arr).replace('<', '!').replace('>', '!')
-    return list(arr)
+    return arr.tolist()
 
 
 def test_partially_packed_align(np.ndarray[PartiallyPackedStruct] arr):
@@ -909,7 +909,7 @@ def test_copy_buffer(np.ndarray[double, ndim=1] a):
     10
     >>> print(a.dtype)
     float64
-    >>> a[0]
+    >>> float(a[0])
     1.0
     """
     a = a.copy()
@@ -925,24 +925,24 @@ def test_broadcast_comparison(np.ndarray[double, ndim=1] a):
     """
     >>> a = np.ones(10, dtype=np.double)
     >>> a0, obj0, a1, obj1 = test_broadcast_comparison(a)
-    >>> np.all(a0 == (a == 0)) or a0
+    >>> bool(np.all(a0 == (a == 0))) or a0
     True
-    >>> np.all(a1 == (a == 1)) or a1
+    >>> bool(np.all(a1 == (a == 1))) or a1
     True
-    >>> np.all(obj0 == (a == 0)) or obj0
+    >>> bool(np.all(obj0 == (a == 0))) or obj0
     True
-    >>> np.all(obj1 == (a == 1)) or obj1
+    >>> bool(np.all(obj1 == (a == 1))) or obj1
     True
 
     >>> a = np.zeros(10, dtype=np.double)
     >>> a0, obj0, a1, obj1 = test_broadcast_comparison(a)
-    >>> np.all(a0 == (a == 0)) or a0
+    >>> bool(np.all(a0 == (a == 0))) or a0
     True
-    >>> np.all(a1 == (a == 1)) or a1
+    >>> bool(np.all(a1 == (a == 1))) or a1
     True
-    >>> np.all(obj0 == (a == 0)) or obj0
+    >>> bool(np.all(obj0 == (a == 0))) or obj0
     True
-    >>> np.all(obj1 == (a == 1)) or obj1
+    >>> bool(np.all(obj1 == (a == 1))) or obj1
     True
     """
     cdef object obj = a
@@ -955,7 +955,7 @@ def test_c_api_searchsorted(np.ndarray arr, other):
     >>> arr = np.random.randn(10)
     >>> other = np.random.randn(5)
     >>> result, expected = test_c_api_searchsorted(arr, other)
-    >>> (result == expected).all()
+    >>> bool((result == expected).all())
     True
     """
     result = np.PyArray_SearchSorted(arr, other, np.NPY_SEARCHRIGHT, NULL)