@@ -429,15 +429,20 @@ def test_read_nrows(self):
429429
430430 def test_read_nrows_large (self ):
431431 # GH-7626 - Read only nrows of data in for large inputs (>262144b)
432- header_narrow = '\t ' .join (['COL_HEADER_' + str (i ) for i in range (10 )]) + '\n '
433- data_narrow = '\t ' .join (['somedatasomedatasomedata1' for i in range (10 )])+ '\n '
434- header_wide = '\t ' .join (['COL_HEADER_' + str (i ) for i in range (15 )]) + '\n '
435- data_wide = '\t ' .join (['somedatasomedatasomedata2' for i in range (15 )])+ '\n '
436- test_input = header_narrow + data_narrow * 1050 + header_wide + data_wide * 2
432+ header_narrow = '\t ' .join (['COL_HEADER_' + str (i )
433+ for i in range (10 )]) + '\n '
434+ data_narrow = '\t ' .join (['somedatasomedatasomedata1'
435+ for i in range (10 )]) + '\n '
436+ header_wide = '\t ' .join (['COL_HEADER_' + str (i )
437+ for i in range (15 )]) + '\n '
438+ data_wide = '\t ' .join (['somedatasomedatasomedata2'
439+ for i in range (15 )]) + '\n '
440+ test_input = (header_narrow + data_narrow * 1050 +
441+ header_wide + data_wide * 2 )
437442
438443 df = self .read_table (StringIO (test_input ), nrows = 1010 )
439444
440- self .assertTrue (df .size == 1010 * 10 )
445+ self .assertTrue (df .size == 1010 * 10 )
441446
442447 def test_read_chunksize (self ):
443448 reader = self .read_csv (StringIO (self .data1 ), index_col = 0 , chunksize = 2 )
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