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python: adapt test to NumPy 2.x
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@ -451,7 +451,7 @@ class Arguments(NewOpenCVTests):
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try_to_convert = partial(self._try_to_convert, cv.utils.dumpFloat)
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min_float, max_float = get_limits(ctypes.c_float)
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for convertible in (2, -13, 1.24, np.float32(32.45), float(32), np.double(12.23),
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np.float32(-12.3), np.float64(3.22), np.float_(-1.5), min_float,
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np.float32(-12.3), np.float64(3.22), min_float,
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max_float, np.inf, -np.inf, float('Inf'), -float('Inf'),
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np.double(np.inf), np.double(-np.inf), np.double(float('Inf')),
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np.double(-float('Inf'))):
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@ -495,7 +495,7 @@ class Arguments(NewOpenCVTests):
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min_float, max_float = get_limits(ctypes.c_float)
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min_double, max_double = get_limits(ctypes.c_double)
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for convertible in (2, -13, 1.24, np.float32(32.45), float(2), np.double(12.23),
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np.float32(-12.3), np.float64(3.22), np.float_(-1.5), min_float,
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np.float32(-12.3), np.float64(3.22), min_float,
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max_float, min_double, max_double, np.inf, -np.inf, float('Inf'),
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-float('Inf'), np.double(np.inf), np.double(-np.inf),
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np.double(float('Inf')), np.double(-float('Inf'))):
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