import sys
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import pytest
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import numpy as np
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from numpy.testing import HAS_REFCOUNT, assert_, assert_array_equal, assert_raises
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class TestTake:
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def test_simple(self):
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a = [[1, 2], [3, 4]]
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a_str = [[b'1', b'2'], [b'3', b'4']]
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modes = ['raise', 'wrap', 'clip']
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indices = [-1, 4]
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index_arrays = [np.empty(0, dtype=np.intp),
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np.empty((), dtype=np.intp),
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np.empty((1, 1), dtype=np.intp)]
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real_indices = {'raise': {-1: 1, 4: IndexError},
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'wrap': {-1: 1, 4: 0},
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'clip': {-1: 0, 4: 1}}
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# Currently all types but object, use the same function generation.
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# So it should not be necessary to test all. However test also a non
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# refcounted struct on top of object, which has a size that hits the
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# default (non-specialized) path.
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types = int, object, np.dtype([('', 'i2', 3)])
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for t in types:
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# ta works, even if the array may be odd if buffer interface is used
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ta = np.array(a if np.issubdtype(t, np.number) else a_str, dtype=t)
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tresult = list(ta.T.copy())
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for index_array in index_arrays:
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if index_array.size != 0:
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tresult[0].shape = (2,) + index_array.shape
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tresult[1].shape = (2,) + index_array.shape
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for mode in modes:
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for index in indices:
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real_index = real_indices[mode][index]
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if real_index is IndexError and index_array.size != 0:
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index_array.put(0, index)
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assert_raises(IndexError, ta.take, index_array,
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mode=mode, axis=1)
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elif index_array.size != 0:
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index_array.put(0, index)
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res = ta.take(index_array, mode=mode, axis=1)
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assert_array_equal(res, tresult[real_index])
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else:
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res = ta.take(index_array, mode=mode, axis=1)
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assert_(res.shape == (2,) + index_array.shape)
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def test_refcounting(self):
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objects = [object() for i in range(10)]
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if HAS_REFCOUNT:
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orig_rcs = [sys.getrefcount(o) for o in objects]
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for mode in ('raise', 'clip', 'wrap'):
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a = np.array(objects)
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b = np.array([2, 2, 4, 5, 3, 5])
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a.take(b, out=a[:6], mode=mode)
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del a
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if HAS_REFCOUNT:
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assert_(all(sys.getrefcount(o) == rc + 1
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for o, rc in zip(objects, orig_rcs)))
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# not contiguous, example:
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a = np.array(objects * 2)[::2]
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a.take(b, out=a[:6], mode=mode)
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del a
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if HAS_REFCOUNT:
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assert_(all(sys.getrefcount(o) == rc + 1
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for o, rc in zip(objects, orig_rcs)))
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def test_unicode_mode(self):
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d = np.arange(10)
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k = b'\xc3\xa4'.decode("UTF8")
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assert_raises(ValueError, d.take, 5, mode=k)
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def test_empty_partition(self):
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# In reference to github issue #6530
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a_original = np.array([0, 2, 4, 6, 8, 10])
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a = a_original.copy()
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# An empty partition should be a successful no-op
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a.partition(np.array([], dtype=np.int16))
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assert_array_equal(a, a_original)
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def test_empty_argpartition(self):
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# In reference to github issue #6530
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a = np.array([0, 2, 4, 6, 8, 10])
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a = a.argpartition(np.array([], dtype=np.int16))
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b = np.array([0, 1, 2, 3, 4, 5])
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assert_array_equal(a, b)
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class TestPutMask:
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@pytest.mark.parametrize("dtype", list(np.typecodes["All"]) + ["i,O"])
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def test_simple(self, dtype):
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if dtype.lower() == "m":
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dtype += "8[ns]"
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# putmask is weird and doesn't care about value length (even shorter)
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vals = np.arange(1001).astype(dtype=dtype)
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mask = np.random.randint(2, size=1000).astype(bool)
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# Use vals.dtype in case of flexible dtype (i.e. string)
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arr = np.zeros(1000, dtype=vals.dtype)
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zeros = arr.copy()
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np.putmask(arr, mask, vals)
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assert_array_equal(arr[mask], vals[:len(mask)][mask])
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assert_array_equal(arr[~mask], zeros[~mask])
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@pytest.mark.parametrize("dtype", list(np.typecodes["All"])[1:] + ["i,O"])
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@pytest.mark.parametrize("mode", ["raise", "wrap", "clip"])
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def test_empty(self, dtype, mode):
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arr = np.zeros(1000, dtype=dtype)
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arr_copy = arr.copy()
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mask = np.random.randint(2, size=1000).astype(bool)
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# Allowing empty values like this is weird...
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np.put(arr, mask, [])
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assert_array_equal(arr, arr_copy)
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class TestPut:
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@pytest.mark.parametrize("dtype", list(np.typecodes["All"])[1:] + ["i,O"])
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@pytest.mark.parametrize("mode", ["raise", "wrap", "clip"])
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def test_simple(self, dtype, mode):
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if dtype.lower() == "m":
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dtype += "8[ns]"
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# put is weird and doesn't care about value length (even shorter)
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vals = np.arange(1001).astype(dtype=dtype)
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# Use vals.dtype in case of flexible dtype (i.e. string)
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arr = np.zeros(1000, dtype=vals.dtype)
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zeros = arr.copy()
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if mode == "clip":
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# Special because 0 and -1 value are "reserved" for clip test
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indx = np.random.permutation(len(arr) - 2)[:-500] + 1
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indx[-1] = 0
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indx[-2] = len(arr) - 1
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indx_put = indx.copy()
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indx_put[-1] = -1389
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indx_put[-2] = 1321
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else:
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# Avoid duplicates (for simplicity) and fill half only
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indx = np.random.permutation(len(arr) - 3)[:-500]
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indx_put = indx
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if mode == "wrap":
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indx_put = indx_put + len(arr)
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np.put(arr, indx_put, vals, mode=mode)
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assert_array_equal(arr[indx], vals[:len(indx)])
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untouched = np.ones(len(arr), dtype=bool)
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untouched[indx] = False
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assert_array_equal(arr[untouched], zeros[:untouched.sum()])
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@pytest.mark.parametrize("dtype", list(np.typecodes["All"])[1:] + ["i,O"])
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@pytest.mark.parametrize("mode", ["raise", "wrap", "clip"])
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def test_empty(self, dtype, mode):
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arr = np.zeros(1000, dtype=dtype)
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arr_copy = arr.copy()
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# Allowing empty values like this is weird...
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np.put(arr, [1, 2, 3], [])
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assert_array_equal(arr, arr_copy)
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