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Dead simple CSV parsing, with configurable regex selectors if required. Reads line-by-line, so you can parse big CSV files without running out of memory. The first line is always assumed to be column headers, and thus keys in the corresponding hash.

Simple case

Given sample_csv.csv csv Col1,Col2,Col3 Val1,Val2,Val3 Val4,Val5,Val6

and ```ruby require 'hasherize_csv' @f = File.new("sample_csv.csv") @csv = HasherizeCsv::Csv.new(@f)

@csv.each do |hash| puts hash.inspect end ```

The output will be {'Col1' => 'Val1', 'Col2' => 'Val2', 'Col3' => 'Val3'} {'Col1' => 'Val4', 'Col2' => 'Val5', 'Col3' => 'Val6'}

Complex case: parse strange line endings and elegantly select quoted fields

Given complex_sample.csv ```csv "Col1";"Col2";"Col3"\r "Val1";"Val2";"Val3"\r "Val4";"Val5

Oh my, newlines in the record!";"Val6"\r ```

and ```ruby require 'hasherize_csv' @f = File.new("complex_sample.csv")

HasherizeCsv yields the value of the first match group in the :value_pattern regex

@csv = HasherizeCsv::Csv.new(@f, :separator => "\r", :value_pattern => /\"(.*?)\"/m)

@csv.each do |hash| puts hash.inspect end ```

The output will be {'Col1' => 'Val1', 'Col2' => 'Val2', 'Col3' => 'Val3'} {'Col1' => 'Val4', 'Col2' => 'Val5\n\nOh my, newlines in the record!', 'Col3' => 'Val6'}