Use commas for big numbers about guppy3 HOT 5 OPEN

>>> h = guppy.hpy().heap()
>>> h
Partition of a set of 36625 objects. Total size = 4257226 bytes.
 Index  Count   %     Size   % Cumulative  % Kind (class / dict of class)
     0  10383  28   917674  22    917674  22 str
     1   9111  25   738760  17   1656434  39 tuple
     2   2384   7   344688   8   2001122  47 types.CodeType
     3   4766  13   336076   8   2337198  55 bytes
     4    441   1   335296   8   2672494  63 type
     5   2205   6   317520   7   2990014  70 function
     6    441   1   247080   6   3237094  76 dict of type
     7     96   0   171952   4   3409046  80 dict of module
     8    240   1   116256   3   3525302  83 dict (no owner)
     9   1090   3    95920   2   3621222  85 types.WrapperDescriptorType
<114 more rows. Type e.g. '_.more' to view.>
>>> len(h)
124
>>> h.count
36625
>>> h.size
4257226
>>> h[0].count
10383
>>> h[0].size
917674

>>> __import__('guppy').hpy().heap()
Partition of a set of 36,633 objects. Total size = 4,257,677 bytes.
 Index   Count   %       Size   %   Cumulative  % Kind (class / dict of class)
     0  10,391  28    917,969  22     917,969  22 str
     1   9,111  25    738,864  17   1,656,833  39 tuple
     2   2,384   7    344,688   8   2,001,521  47 types.CodeType
     3   4,764  13    336,008   8   2,337,529  55 bytes
     4     441   1    335,296   8   2,672,825  63 type
     5   2,205   6    317,520   7   2,990,345  70 function
     6     441   1    247,080   6   3,237,425  76 dict of type
     7      96   0    171,952   4   3,409,377  80 dict of module
     8     240   1    116,256   3   3,525,633  83 dict (no owner)
     9   1,090   3     95,920   2   3,621,553  85 types.WrapperDescriptorType
<114 more rows. Type e.g. '_.more' to view.>
>>> _.byid
Set of 36,633 <mixed> objects. Total size = 4,257,677 bytes.
 Index      Size   %     Cumulative  %   Brief
     0    18,536   0.4      18,536   0.4 dict of module: os
     1     9,328   0.2      27,864   0.7 dict (no owner): 0x7f50d11fb410*323
     2     9,328   0.2      37,192   0.9 dict (no owner): 0x7f50d129beb0*291
     3     9,328   0.2      46,520   1.1 dict of module: posix
     4     8,424   0.2      54,944   1.3 set: 0x7f50d1176050
     5     8,424   0.2      63,368   1.5 set: 0x7f50d11d79b0
     6     8,424   0.2      71,792   1.7 set: 0x7f50d11d7d70
     7     8,424   0.2      80,216   1.9 set: 0x7f50d1254320
     8     8,424   0.2      88,640   2.1 set: 0x7f50d1254c80
     9     7,423   0.2      96,063   2.3 str: 'The class Bi... copy of S.\n'
<36,623 more rows. Type e.g. '_.more' to view.>

>>> a = list(range(10000000))
>>> __import__('guppy').hpy().heap()
Partition of a set of 10,039,006 objects. Total size = 374,516,749 bytes.
 Index   Count   %       Size   %   Cumulative  % Kind (class / dict of class)
     0 10,000,926 100 280,028,720  75 280,028,720  75 int
     1     100   0 90,019,536  24 370,048,256  99 list
     2  10,989   0    959,949   0 371,008,205  99 str
     3   9,968   0    807,992   0 371,816,197  99 tuple
     4   2,631   0    380,360   0 372,196,557  99 types.CodeType
     5     476   0    372,536   0 372,569,093  99 type
     6   5,236   0    364,636   0 372,933,729 100 bytes
     7   2,382   0    343,008   0 373,276,737 100 function
     8     476   0    262,016   0 373,538,753 100 dict of type
     9      97   0    174,240   0 373,712,993 100 dict of module
<114 more rows. Type e.g. '_.more' to view.>
>>> _.byid
Set of 10,039,006 <mixed> objects. Total size = 374,516,749 bytes.
 Index      Size   %     Cumulative  %   Brief
     0 90,000,120  24.0  90,000,120  24.0 list: 0x7f50d0cb5cd0*10000000
     1    18,536   0.0  90,018,656  24.0 dict of module: os
     2     9,328   0.0  90,027,984  24.0 dict (no owner): 0x7f50d11fb410*323
     3     9,328   0.0  90,037,312  24.0 dict (no owner): 0x7f50d129beb0*291
     4     9,328   0.0  90,046,640  24.0 dict of module: posix
     5     8,424   0.0  90,055,064  24.0 set: 0x7f50d1176050
     6     8,424   0.0  90,063,488  24.0 set: 0x7f50d11d79b0
     7     8,424   0.0  90,071,912  24.1 set: 0x7f50d11d7d70
     8     8,424   0.0  90,080,336  24.1 set: 0x7f50d1254320
     9     8,424   0.0  90,088,760  24.1 set: 0x7f50d1254c80
<10,038,996 more rows. Type e.g. '_.more' to view.>