def test_histogram_a_list():
a = [1, 1, 2, 2, 3]
hist_np, bin_edges_np = np.histogram(a)
hist_mp, bin_edges_mp = mp.histogram(a)
assert bin_edges_np.dtype == bin_edges_mp.dtype
assert bin_edges_np.ndim == bin_edges_mp.ndim
assert bin_edges_np.shape == bin_edges_mp.shape
assert np.allclose(bin_edges_np, bin_edges_mp)
assert hist_np.dtype == hist_mp.dtype
assert hist_np.ndim == hist_mp.ndim
assert hist_np.shape == hist_mp.shape
assert hist_np.sum() == hist_mp.sum()
assert np.array_equal(hist_np, hist_mp)
def test_histogram_a_ndarray():
a = np.sin(np.linspace(0, 10 * np.pi, 1000))
hist_np, bin_edges_np = np.histogram(a)
hist_mp, bin_edges_mp = mp.histogram(a)
assert bin_edges_np.dtype == bin_edges_mp.dtype
assert bin_edges_np.ndim == bin_edges_mp.ndim
assert bin_edges_np.shape == bin_edges_mp.shape
assert np.allclose(bin_edges_np, bin_edges_mp)
assert hist_np.dtype == hist_mp.dtype
assert hist_np.ndim == hist_mp.ndim
assert hist_np.shape == hist_mp.shape
assert hist_np.sum() == hist_mp.sum()
assert np.array_equal(hist_np, hist_mp)
def test_histogram_bins_scalar(bins):
rng = np.random.RandomState(42)
a = rng.normal(size=1000)
hist_np, bin_edges_np = np.histogram(a, bins)
hist_mp, bin_edges_mp = mp.histogram(a, bins)
assert bin_edges_np.dtype == bin_edges_mp.dtype
assert bin_edges_np.ndim == bin_edges_mp.ndim
assert bin_edges_np.shape == bin_edges_mp.shape
assert np.allclose(bin_edges_np, bin_edges_mp)
assert hist_np.dtype == hist_mp.dtype
assert hist_np.ndim == hist_mp.ndim
assert hist_np.shape == hist_mp.shape
assert hist_np.sum() == hist_mp.sum()
assert np.array_equal(hist_np, hist_mp)
def test_histogram_bins_string():
rng = np.random.RandomState(42)
a = rng.normal(size=1000)
bins = 'auto'
hist_mp, bin_edges_mp = mp.histogram(a, bins)
def test_histogram_bins_array():
rng = np.random.RandomState(42)
a = rng.normal(size=1000)
bins = np.linspace(-5, 5, 10)
hist_mp, bin_edges_mp = mp.histogram(a, bins)