It is possible :)
I work with DNA sequences, there could be millions of common SNPs in a
genome.

Cheers,

Hernán


2015-01-26 3:33 GMT-03:00 Sven Van Caekenberghe <s...@stfx.eu>:

>
> > On 26 Jan 2015, at 06:32, Hernán Morales Durand <
> hernan.mora...@gmail.com> wrote:
> >
> >
> >
> > 2015-01-23 18:00 GMT-03:00 Sven Van Caekenberghe <s...@stfx.eu>:
> >
> > > On 23 Jan 2015, at 20:53, Hernán Morales Durand <
> hernan.mora...@gmail.com> wrote:
> > >
> > > Hi Sven,
> > >
> > > 2015-01-23 16:06 GMT-03:00 Sven Van Caekenberghe <s...@stfx.eu>:
> > > Hi Hernán,
> > >
> > > > On 23 Jan 2015, at 19:50, Hernán Morales Durand <
> hernan.mora...@gmail.com> wrote:
> > > >
> > > > I used to use a CSV parser from Squeak where I could attach
> conditional iterations:
> > > >
> > > > csvParser rowsSkipFirst: 2 do: [: row | " some action ignoring first
> 2 fields on each row " ].
> > > > csvParser rowsSkipLast: 2 do: [: row | " some action ignoring last 2
> fields on each row " ].
> > >
> > > With NeoCSVParser you can describe how each field is read and
> converted, using the same mechanism you can ignore fields. Have a look at
> the senders of #addIgnoredField from the unit tests.
> > >
> > >
> > > I am trying to understand the implementation, I see you included
> #addIgnoredFields: for consecutive fields in
> Neo-CSV-Core-SvenVanCaekenberghe.21
> > > A question about usage then, adding ignored field(s) requires adding
> field types on all other remaining fields?
> >
> > Yes, like this:
> >
> > testReadWithIgnoredField
> >         | input |
> >         input := (String crlf join: #( '1,2,a,3' '1,2,b,3' '1,2,c,3'
> '')).
> >         self
> >                 assert: ((NeoCSVReader on: input readStream)
> >                                         addIntegerField;
> >                                         addIntegerField;
> >                                         addIgnoredField;
> >                                         addIntegerField;
> >                                         upToEnd)
> >                 equals: {
> >                         #(1 2 3).
> >                         #(1 2 3).
> >                         #(1 2 3).}
> >
> >
> >
> > May be you like to know if you make a pass to NeoCSV, for some data sets
> I have 1 million of columns, it would be nice an addFieldsInterval: or such.
>
> 1 million columns ? How is that possible, useful ?
>
> The reader is like a builder. You could try to do this yourself by writing
> a little loop or two.
>
> But still, 1 million ?
>
> > Thank you.
> >
> > Hernán
> >
>
>
>

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