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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import numpy as np # noqa: F401
import pytest
import awkward as ak
import awkward._connect.cling
import awkward._lookup
ROOT = pytest.importorskip("ROOT")
compiler = ROOT.gInterpreter.Declare
def test_two_columns():
array = ak.Array(
[
[{"x": 1, "y": [1.1]}, {"x": 2, "y": [2.2, 0.2]}],
[],
[{"x": 3, "y": [3.0, 0.3, 3.3]}],
]
)
ak_array_1 = array["x"]
ak_array_2 = array["y"]
data_frame = ak.to_rdataframe(
{"x": ak_array_1, "y": ak_array_2}, flatlist_as_rvec=True
)
assert set(data_frame.GetColumnNames()) == {"x", "y"}
assert data_frame.GetColumnType("x") == "ROOT::VecOps::RVec<int64_t>"
assert data_frame.GetColumnType("y").startswith("awkward::ListArray_")
def test_two_columns_as_rvecs():
ak_array_1 = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5])
ak_array_2 = ak.Array([{"x": 1.1}, {"x": 2.2}, {"x": 3.3}, {"x": 4.4}, {"x": 5.5}])
data_frame = ak.to_rdataframe({"x": ak_array_1, "y": ak_array_2})
assert set(data_frame.GetColumnNames()) == {"x", "y"}
assert data_frame.GetColumnType("x") == "double"
assert data_frame.GetColumnType("y").startswith("awkward::Record_")
cpp_list_x = ", ".join(str(e) for e in ak_array_1.to_list())
cpp_list_y = ", ".join(str(e) for e in ak_array_2.x.to_list())
done = compiler(
f"""
int ix = 0;
double x_val[5] = {{ {cpp_list_x} }};
template<typename T>
struct CheckX {{
void operator()(T const& x) {{
R__ASSERT(x == x_val[ix++]);
}}
}};
int iy = 0;
double y_val[5] = {{ {cpp_list_y} }};
template<typename T>
struct CheckY {{
void operator()(T const& y) {{
R__ASSERT(y.x() == y_val[iy++]);
}}
}};
"""
)
assert done is True
f_x = ROOT.CheckX[data_frame.GetColumnType("x")]()
f_y = ROOT.CheckY[data_frame.GetColumnType("y")]()
data_frame.Foreach(f_x, ["x"])
data_frame.Foreach(f_y, ["y"])
def test_list_array():
ak_array = ak.Array([[1.1], [2.2, 3.3, 4.4], [5.5, 6.6]])
data_frame = ak.to_rdataframe({"x": ak_array})
assert data_frame.GetColumnType("x") == "ROOT::VecOps::RVec<double>"
done = compiler(
"""
int64_t row = 0;
ROOT::VecOps::RVec<ROOT::VecOps::RVec<double>> row_vals =
{{ 1.1},
{ 2.2, 3.3, 4.4 },
{ 5.5, 6.6 }
};
template<typename T>
struct MyFunctor_RVec {
void operator()(T const& x) {
for( int64_t j = 0; j < x.size(); j++ ) {
R__ASSERT(x[j] == row_vals[row][j]);
}
row++;
}
};
"""
)
assert done is True
f_x = ROOT.MyFunctor_RVec[data_frame.GetColumnType("x")]()
data_frame.Foreach(f_x, ["x"])
def test_two_columns_as_vecs():
ak_array_1 = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5])
ak_array_2 = ak.Array([{"x": 1.1}, {"x": 2.2}, {"x": 3.3}, {"x": 4.4}, {"x": 5.5}])
data_frame = ak.operations.to_rdataframe(
{"x": ak_array_1, "y": ak_array_2}, flatlist_as_rvec=False
)
assert set(data_frame.GetColumnNames()) == {"x", "y"}
assert data_frame.GetColumnType("x") == "double"
assert data_frame.GetColumnType("y").startswith("awkward::Record_")
cpp_list_x = ", ".join(str(e) for e in ak_array_1.to_list())
cpp_list_y = ", ".join(str(e) for e in ak_array_2.x.to_list())
done = compiler(
f"""
int i_xv = 0;
double xv_val[5] = {{ {cpp_list_x} }};
template<typename T>
struct MyFunctorX_Vec {{
void operator()(T const& x) {{
R__ASSERT(x == xv_val[i_xv++]);
}}
}};
int i_yv = 0;
double yv_val[5] = {{ {cpp_list_y} }};
template<typename T>
struct MyFunctorY_Vec {{
void operator()(T const& y) {{
R__ASSERT(y.x() == yv_val[i_yv++]);
}}
}};
"""
)
assert done is True
f_x = ROOT.MyFunctorX_Vec[data_frame.GetColumnType("x")]()
f_y = ROOT.MyFunctorY_Vec[data_frame.GetColumnType("y")]()
data_frame.Foreach(f_x, ["x"])
data_frame.Foreach(f_y, ["y"])
def test_two_columns_transform_filter():
example1 = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5])
example2 = ak.Array([{"x": 1.1}, {"x": 2.2}, {"x": 3.3}, {"x": 4.4}, {"x": 5.5}])
data_frame = ak.to_rdataframe({"one": example1, "two": example2})
assert set(data_frame.GetColumnNames()) == {"one", "two"}
compiler(
"""
template<typename T>
ROOT::RDF::RNode MyTransformation(ROOT::RDF::RNode df) {
auto myFunc = [](T x){ return -x;};
return df.Define("neg_one", myFunc, {"one"});
}
"""
)
data_frame_transformed = ROOT.MyTransformation[data_frame.GetColumnType("one")](
ROOT.RDF.AsRNode(data_frame)
)
assert set(data_frame_transformed.GetColumnNames()) == {
"neg_one",
"one",
"two",
}
assert data_frame_transformed.Count().GetValue() == 5
data_frame2 = data_frame.Filter("one > 2.5")
data_frame2_transformed = ROOT.MyTransformation[data_frame.GetColumnType("one")](
ROOT.RDF.AsRNode(data_frame2)
)
assert data_frame2_transformed.Count().GetValue() == 3
def test_jims_example1():
array = ak.Array([{"x": 1.1}, {"x": 2.2}, {"x": 3.3}, {"x": 4.4}, {"x": 5.5}])
data_frame = ak.to_rdataframe({"some_array": array})
assert set(data_frame.GetColumnNames()) == {"some_array"}
data_frame_y = data_frame.Define("y", "some_array.x()")
assert set(data_frame_y.GetColumnNames()) == {"some_array", "y"}
cpp_list = ", ".join(str(e) for e in array.x.to_list())
done = compiler(
f"""
int i_y1 = 0;
double y1_val[5] = {{ {cpp_list} }};
template<typename T>
struct MyFunctorY_1 {{
void operator()(T const& y) {{
R__ASSERT(y == y1_val[i_y1++]);
}}
}};
"""
)
assert done is True
f_y = ROOT.MyFunctorY_1[data_frame_y.GetColumnType("y")]()
data_frame_y.Foreach(f_y, ["y"])
def test_jims_example2():
example1 = ak.Array([1.1, 2.2, 3.3, 4.4, 5.5])
example2 = ak.Array(
[
{"x": [1.1, 1.2, 1.3]},
{"x": [2.2, 2.21]},
{"x": [3.3]},
{"x": [4.4, 4.41, 4.42, 4.44]},
{"x": [5.5]},
]
)
data_frame = ak.operations.to_rdataframe({"one": example1, "two": example2})
assert data_frame.GetColumnType("one") == "double"
assert data_frame.GetColumnType("two").startswith("awkward::Record_")
done = compiler(
"""
int i_one = 0;
double one_val[5] = {1.1, 2.2, 3.3, 4.4, 5.5};
template<typename T>
struct check_one {
void operator()(T const& one) {
R__ASSERT(one == one_val[i_one++]);
}
};
int i_two = 0;
ROOT::VecOps::RVec<ROOT::VecOps::RVec<double>> two_val =
{{ 1.1, 1.2, 1.3 },
{ 2.2, 2.21 },
{ 3.3 },
{ 4.4, 4.41, 4.42, 4.44 },
{ 5.5 }
};
template<typename T>
struct check_two {
void operator()(T const& two) {
for( int64_t j = 0; j < two.x().size(); j++ ) {
R__ASSERT(two.x()[j] == two_val[i_two][j]);
}
i_two++;
}
};
"""
)
assert done is True
f_one = ROOT.check_one[data_frame.GetColumnType("one")]()
f_two = ROOT.check_two[data_frame.GetColumnType("two")]()
data_frame.Foreach(f_one, ["one"])
data_frame.Foreach(f_two, ["two"])
def test_empty_array():
array = ak.Array([])
data_frame = ak.to_rdataframe({"empty_array": array})
assert data_frame.GetColumnType("empty_array") == "double"
assert data_frame.Count().GetValue() == 0
def test_empty_list_array():
array = ak.Array([[], [], []])
data_frame = ak.to_rdataframe({"empty_list_array": array})
assert data_frame.GetColumnType("empty_list_array") == "ROOT::VecOps::RVec<double>"
assert data_frame.Count().GetValue() == 3
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