def test_Distinct():
t = TableSymbol('t', '{name: string, amount: int32}')
r = distinct(t['name'])
print(r.dshape)
assert r.dshape == dshape('var * {name: string}')
r = t.distinct()
assert r.dshape == t.dshape
def test_Distinct():
t = symbol('t', 'var * {name: string, amount: int32}')
r = distinct(t['name'])
print(r.dshape)
assert r.dshape == dshape('var * string')
assert r._name == 'name'
r = t.distinct()
assert r.dshape == t.dshape
def test_Distinct():
t = TableSymbol("t", "{name: string, amount: int32}")
r = distinct(t["name"])
print(r.dshape)
assert r.dshape == dshape("var * string")
assert r._name == "name"
r = t.distinct()
assert r.dshape == t.dshape
def test_distinct():
dftoobig = DataFrame(
[['Alice', 'F', 100, 1], ['Alice', 'F', 100, 1], [
'Alice', 'F', 100, 3
], ['Drew', 'F', 100, 4], ['Drew', 'M', 100, 5], ['Drew', 'F', 100, 4],
['Drew', 'M', 100, 5], ['Drew', 'M', 200, 5], ['Drew', 'M', 200, 5]],
columns=['name', 'sex', 'amount', 'id'])
d_t = distinct(tbig)
d_df = compute(d_t, dftoobig)
tm.assert_frame_equal(d_df, dfbig)
# Test idempotence
tm.assert_frame_equal(compute(d_t, d_df), d_df)
def test_distinct():
dftoobig = DataFrame([['Alice', 'F', 100, 1],
['Alice', 'F', 100, 1],
['Alice', 'F', 100, 3],
['Drew', 'F', 100, 4],
['Drew', 'M', 100, 5],
['Drew', 'F', 100, 4],
['Drew', 'M', 100, 5],
['Drew', 'M', 200, 5],
['Drew', 'M', 200, 5]],
columns=['name', 'sex', 'amount', 'id'])
d_t = distinct(tbig)
d_df = compute(d_t, dftoobig)
tm.assert_frame_equal(d_df, dfbig)
# Test idempotence
tm.assert_frame_equal(compute(d_t, d_df), d_df)
def test_distinct():
assert set(compute(distinct(t['name']), data)) == set(['Alice', 'Bob'])
assert set(compute(distinct(t), data)) == set(map(tuple, data))
e = distinct(t)
assert list(compute(e, [])) == []
def test_distinct():
assert set(compute(distinct(t['name']), data)) == set(['Alice', 'Bob'])
assert set(compute(distinct(t), data)) == set(map(tuple, data))
e = distinct(t)
assert list(compute(e, [])) == []