def test_numpy_scalar_hits_lower_bound_int8(self):
# single value arrays, shape == tuple()
arr = np.int8(-10)
observed = iadt.clip_(arr, -10, 10)
assert np.array_equal(observed, np.int8(-10))
def test_numpy_scalar_exceeds_upper_bound_int8(self):
arr = np.int8(10)
observed = iadt.clip_(arr, -10, 1)
assert np.array_equal(observed, np.int8(1))
def test_upper_bound_is_none_int8(self):
arr = np.int8([1])
observed = iadt.clip_(arr, -10, None)
assert np.array_equal(observed, np.int8([1]))
def test_values_exceed_lower_bound_and_upper_bound_is_none_int8(self):
arr = np.int8([-10])
observed = iadt.clip_(arr, -1, None)
assert np.array_equal(observed, np.int8([-1]))
def test_values_hit_upper_bound_negative_lower_bound_int8(self):
arr = np.int8([127])
observed = iadt.clip_(arr, -1, 127)
assert np.array_equal(observed, np.int8([127]))
def test_both_bounds_are_none_int8(self):
arr = np.int8([1])
observed = iadt.clip_(arr, None, None)
assert np.array_equal(observed, np.int8([1]))
def test_values_exceed_upper_bound_negative_lower_bound_uint32(self):
arr = np.uint32([10])
observed = iadt.clip_(arr, -1, 1)
assert np.array_equal(observed, np.uint32([1]))
def test_values_within_bounds_upper_bound_is_dtype_limit_int8(self):
arr = np.int8([127])
observed = iadt.clip_(arr, 0, 128)
assert np.array_equal(observed, np.int8([127]))
def test_values_exceed_upper_bound_uint32(self):
arr = np.uint32([2])
observed = iadt.clip_(arr, 0, 1)
assert np.array_equal(observed, np.uint32([1]))
def test_values_hit_lower_bound_uint32(self):
arr = np.uint32([0])
observed = iadt.clip_(arr, 0, 1)
assert np.array_equal(observed, np.uint32([0]))
def test_values_hit_lower_bound_float32(self):
arr = np.float32([-1.0])
observed = iadt.clip_(arr, -1.0, 1)
assert np.allclose(observed, np.float32([-1.0]))
def test_values_hit_lower_bound_exceed_upper_bound_int32(self):
arr = np.int32([0, 1, 2, 3, 4, 5])
observed = iadt.clip_(arr, 0, 4)
assert np.array_equal(observed, np.int32([0, 1, 2, 3, 4, 4]))
def test_clip():
arr = np.int32([0, 1, 2, 3, 4, 5])
observed = iadt.clip_(arr, 0, 10)
assert np.array_equal(observed, np.int32([0, 1, 2, 3, 4, 5]))
arr = np.int32([0, 1, 2, 3, 4, 5])
observed = iadt.clip_(arr, 0, 5)
assert np.array_equal(observed, np.int32([0, 1, 2, 3, 4, 5]))
arr = np.int32([0, 1, 2, 3, 4, 5])
observed = iadt.clip_(arr, 0, 4)
assert np.array_equal(observed, np.int32([0, 1, 2, 3, 4, 4]))
arr = np.float32([-1.0])
observed = iadt.clip_(arr, 0, 1)
assert np.allclose(observed, np.float32([0.0]))
arr = np.float32([-1.0])
observed = iadt.clip_(arr, -1.0, 1)
assert np.allclose(observed, np.float32([-1.0]))
arr = np.uint32([0])
observed = iadt.clip_(arr, 0, 1)
assert np.array_equal(observed, np.uint32([0]))
arr = np.uint32([1])
observed = iadt.clip_(arr, 0, 1)
assert np.array_equal(observed, np.uint32([1]))
arr = np.uint32([2])
observed = iadt.clip_(arr, 0, 1)
assert np.array_equal(observed, np.uint32([1]))
arr = np.uint32([1])
observed = iadt.clip_(arr, -1, 1)
assert np.array_equal(observed, np.uint32([1]))
arr = np.uint32([10])
observed = iadt.clip_(arr, -1, 1)
assert np.array_equal(observed, np.uint32([1]))
arr = np.int8([127])
observed = iadt.clip_(arr, 0, 127)
assert np.array_equal(observed, np.int8([127]))
arr = np.int8([127])
observed = iadt.clip_(arr, 0, 128)
assert np.array_equal(observed, np.int8([127]))
arr = np.int8([127])
observed = iadt.clip_(arr, -1, 127)
assert np.array_equal(observed, np.int8([127]))
arr = np.int8([1])
observed = iadt.clip_(arr, None, None)
assert np.array_equal(observed, np.int8([1]))
arr = np.int8([1])
observed = iadt.clip_(arr, None, 10)
assert np.array_equal(observed, np.int8([1]))
arr = np.int8([1])
observed = iadt.clip_(arr, -10, None)
assert np.array_equal(observed, np.int8([1]))
arr = np.int8([10])
observed = iadt.clip_(arr, None, 1)
assert np.array_equal(observed, np.int8([1]))
arr = np.int8([-10])
observed = iadt.clip_(arr, -1, None)
assert np.array_equal(observed, np.int8([-1]))
# single value arrays, shape == tuple()
arr = np.int8(-10)
observed = iadt.clip_(arr, -10, 10)
assert np.array_equal(observed, np.int8(-10))
arr = np.int8(-10)
observed = iadt.clip_(arr, -1, 10)
assert np.array_equal(observed, np.int8(-1))
arr = np.int8(10)
observed = iadt.clip_(arr, -10, 1)
assert np.array_equal(observed, np.int8(1))
