Ejemplo n.º 1
0
def test_lz4_leveldown(tmp_path):
    filename = join(str(tmp_path), "example.root")

    with uproot.recreate(filename, compression=uproot.LZ4(5)) as f:
        f["hello"] = "a"*2000

    f = ROOT.TFile.Open(filename)
    assert (f.GetCompressionAlgorithm()) == uproot.const.kLZ4
    assert str(f.Get("hello")) == "a"*2000
    f.Close()
Ejemplo n.º 2
0
def WriteTree(df, cols, treeName, fileName):
    '''
    Helper method to write a tree with uproot

    Arguments
    ----------

    - pandas data frame to be written as tree in a root file
    - name of the columns
    - name of the output tree
    - name of the output file
    '''
    outBranches = {}
    for colName in cols:
        outBranches[
            colName] = np.float32  #define all branches as float for the moment
    with uproot.recreate(fileName, compression=uproot.LZ4(4)) as outFile:
        outFile[treeName] = uproot.newtree(outBranches,
                                           compression=uproot.LZ4(4))
        outFile[treeName].extend(dict(df[cols]))
Ejemplo n.º 3
0
def test_flattree_LZ4(tmp_path):
    pytest.importorskip("lz4")

    newfile = os.path.join(tmp_path, "newfile.root")

    branch1 = np.arange(100)
    branch2 = 1.1 * np.arange(100)

    with uproot.recreate(newfile, compression=uproot.LZ4(5)) as fout:
        fout["tree"] = {"branch1": branch1, "branch2": branch2}
        fout["tree"].extend({"branch1": branch1, "branch2": branch2})

    with uproot.open(newfile) as fin:
        assert fin["tree/branch1"].array(library="np").tolist() == branch1.tolist() * 2
        assert fin["tree/branch2"].array(library="np").tolist() == branch2.tolist() * 2

    f3 = ROOT.TFile(newfile)
    t3 = f3.Get("tree")
    assert [x.branch1 for x in t3] == branch1.tolist() * 2
    assert [x.branch2 for x in t3] == branch2.tolist() * 2
    f3.Close()
Ejemplo n.º 4
0
def test_jaggedtree_LZ4(tmp_path):
    pytest.importorskip("lz4")
    ak = pytest.importorskip("awkward")

    newfile = os.path.join(tmp_path, "newfile.root")

    branch1 = ak.Array([[1, 2, 3], [], [4, 5]] * 10)
    branch2 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]] * 10)

    with uproot.recreate(newfile, compression=uproot.LZ4(5)) as fout:
        fout["tree"] = {"branch1": branch1, "branch2": branch2}
        fout["tree"].extend({"branch1": branch1, "branch2": branch2})

    with uproot.open(newfile) as fin:
        assert fin["tree/branch1"].array().tolist() == branch1.tolist() * 2
        assert fin["tree/branch2"].array().tolist() == branch2.tolist() * 2

    f3 = ROOT.TFile(newfile)
    t3 = f3.Get("tree")
    assert [list(x.branch1) for x in t3] == branch1.tolist() * 2
    assert [list(x.branch2) for x in t3] == branch2.tolist() * 2
    f3.Close()
Ejemplo n.º 5
0
def test_histogram_LZ4(tmp_path):
    pytest.importorskip("lz4")

    newfile = os.path.join(tmp_path, "newfile.root")

    SIZE = 2 ** 21
    histogram = (np.random.randint(0, 10, SIZE), np.linspace(0, 1, SIZE + 1))
    last = histogram[0][-1]

    with uproot.recreate(newfile, compression=uproot.LZ4(1)) as fout:
        fout["out"] = histogram

    with uproot.open(newfile) as fin:
        content, edges = fin["out"].to_numpy()
        assert len(content) == SIZE
        assert len(edges) == SIZE + 1
        assert content[-1] == last

    f3 = ROOT.TFile(newfile)
    h3 = f3.Get("out")
    assert h3.GetNbinsX() == SIZE
    assert h3.GetBinContent(SIZE) == last
    f3.Close()
Ejemplo n.º 6
0
import uproot

b1 = uproot.newbranch("i4", compression=uproot.ZLIB(5))
b2 = uproot.newbranch("i8", compression=uproot.LZMA(4))
b3 = uproot.newbranch("f4")

branchdict = {"branch1": b1, "branch2": b2, "branch3": b3}
tree = uproot.newtree(branchdict, compression=uproot.LZ4(4))
with uproot.recreate("example.root", compression=uproot.LZMA(5)) as f:
    f["t"] = tree
    f["t"].extend({
        "branch1": [1] * 1000,
        "branch2": [2] * 1000,
        "branch3": [3] * 1000
    })