def test_issue998():
src = find_file("h2o-3", "bigdata", "laptop", "higgs_head_2M.csv")
# The file is 1.46GB in size. I could not find a smaller file that exhibits
# this problem... The issue only appeared in single-threaded mode, so we
# have to read this file slowly. On my laptop, this test runs in about 8s.
f0 = dt.fread(src, nthreads=1, fill=True, na_strings=["-999"])
assert f0.shape == (2000000, 29)
assert f0.names == tuple("C%d" % i for i in range(f0.ncols))
assert f0.stypes == (dt.stype.float64,) * f0.ncols
assert list_equals(
f0.sum().to_list(),
[[1058818.0], [1981919.6107614636], [701.7858121241807],
[-195.48500674014213], [1996390.3476011853], [-1759.5364254778178],
[1980743.446578741], [-1108.7512905876065], [1712.947751407064],
[2003064.4534490108], [1985100.3810670376], [1190.8404791812281],
[384.00605312064], [1998592.0739881992], [1984490.1900614202],
[2033.9754767678387], [-1028.0810855487362], [2001341.0813384056],
[1971311.3271338642], [-943.92552991907], [-1079.3848229270661],
[1996588.295421958], [2068619.2163415626], [2049516.5437491536],
[2100795.4839400873], [2019540.6562294513], [1946283.046177674],
[2066298.020782411], [1919714.12131235]])
def test_fread_maxnrows_with_large_file():
f = find_file("h2o-3", "bigdata", "laptop", "airlines_all.05p.csv")
d0 = dt.fread(f, max_nrows=111)
frame_integrity_check(d0)
assert d0.nrows == 111
def test_excel_testbook_xlsx_2():
filename = find_file("h2o-3", "fread", "excelTestbook.xlsx")
DT2 = dt.fread(filename + "/Sheet2")
assert DT2.source == os.path.abspath(filename) + "/Sheet2"
assert_equals(
DT2, dt.Frame(day=["today", "tomorrow", "yes\nter\nday", "everyday"]))
