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Editorial Team
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Editorial Team
Asked: May 20, 20262026-05-20T07:51:22+00:00 2026-05-20T07:51:22+00:00

Is there a way to avoid casting to a non-string type when reading data

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Is there a way to avoid casting to a non-string type when reading data from a text file containing exclusively integer values separated by integer markers (‘0000’ for example) ?
(Real-Life example : genetic DNA sequences, each DNA marker being a digit sequence.)

EDIT :
Sample data : 581684531650000651651561156843000021484865321200001987984948978465156115684300002148486532120000198798400009489786515611568430000214848653212000019879849480006516515611684531650000651651561156843000021 etc…

Unless I use a binary writer and read bytes, rather than text (because that is how data written at first),
I think this a funky idea, so “NO” would be the straight answer for this.
Just wanted to get a definitive confirmation to that here, just to be definitely sure.

I welcome any intermediate solution to write/read this kind of data efficiently without having to code a custom reader GUI to display it outside my app, intelligibly (in some generic reader/viewer).

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  1. Editorial Team
    Editorial Team
    2026-05-20T07:51:22+00:00Added an answer on May 20, 2026 at 7:51 am

    rather then just casting, you really should use the .TryParse(...) method(s) of the types you are trying to read. This is a much more type-safe solution.

    And to answer your question, other then using a binary file, there is not (to my knowledge) a way to do this without casting (or using the TryParse methods)

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