Ingestion of Wide dataset crashes returns a failure and crash of python process

[ashrith]

What I am try to do?
Uploading a wide dataset with 953 columns and 20 rows into python datatable.

What happens?
The python process crashes when uploading this dataset.

What are artifacts of this problem are available?

1. Crash report from the system. - error.txt
   error.txt

2. Sample dataset - testcase.txt
   testcase.txt

[st-pasha]

The error happens not during reading, but when writing the input into a CSV file:

25  _datatable.cpython-36m-darwin.so    0x000000010d4c2c81 py::Frame::to_csv(py::PKArgs const&) + 2209

corresponding python snippet:

    for i in range(0, df.nrows, chunk_size):
        chunk = df[i:i + chunk_size, :]
        csv_chunk = chunk.to_csv(quoting="all")    # crashes
        data = csv_chunk.encode('utf8')

[st-pasha]

MRE:

>>> import datatable as dt
>>> DT = dt.Frame([[True] * 20] * 200)
>>> out = DT.to_csv(quoting='all')
python(20974,0x7fffb5638380) malloc: *** error for object 0x7f98e7830e00: incorrect checksum for freed object - object was probably modified after being freed.
*** set a breakpoint in malloc_error_break to debug
Abort trap: 6