úÎÉ©¾y¤      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£Safež¤None^¥0Control the rendering of floating point numbers.¦Scientific notation (e.g. 2.3e123).§Standard decimal notation.¨(Use decimal notation for values between 0.1 and  9,999,999$, and scientific notation otherwise.©©! takes a base and a non-negative ªK number, and returns a list of digits and an exponent. In particular, if x>=0, and *floatToDigits base x = ([d1,d2,...,dn], e)then  n >= 1 x = 0.d1d2...dn * (base**e) 0 <= di <= base-1«%Unsafe conversion for decimal digits.¬­¥¦§¨Ozgun Ataman, Johan TibellBSD3!Ozgun Ataman <ozataman@gmail.com> experimentalNone-7;<=>?FQSTVkø=qConversion of a field to a value might fail e.g. if the field is malformed. This possibility is captured by the  type, which lets you compose several field conversions together in such a way that if any of them fail, the whole record conversion fails.®Success continuation.¯Failure continuation.3A type that can be converted to a single CSV field.Example type and instance: ©{-# LANGUAGE OverloadedStrings #-} data Color = Red | Green | Blue instance ToField Color where toField Red = "R" toField Green = "G" toField Blue = "B"WA type that can be converted from a single CSV field, with the possibility of failure.When writing an instance, use °, ±, or ²' to make a conversion fail, e.g. if a ' can't be converted to the given type.Example type and instance: ð{-# LANGUAGE OverloadedStrings #-} data Color = Red | Green | Blue instance FromField Color where parseField s | s == "R" = pure Red | s == "G" = pure Green | s == "B" = pure Blue | otherwise = mzero4A type that can be converted to a single CSV record.An example type and instance: ²data Person = Person { name :: !Text, age :: !Int } instance ToNamedRecord Person where toNamedRecord (Person name age) = namedRecord [ "name" .= name, "age" .= age]XA type that can be converted from a single CSV record, with the possibility of failure.When writing an instance, use °, ±, or ²' to make a conversion fail, e.g. if a " has the wrong number of columns.Given this example data: name,age John,56 Jane,55$here's an example type and instance: ï{-# LANGUAGE OverloadedStrings #-} data Person = Person { name :: !Text, age :: !Int } instance FromNamedRecord Person where parseNamedRecord m = Person <$> m .: "name" <*> m .: "age"Note the use of the OverloadedStrings# language extension which enables ³) values to be written as string literals. 4A type that can be converted to a single CSV record.An example type and instance:  data Person = Person { name :: !Text, age :: !Int } instance ToRecord Person where toRecord (Person name age) = record [ toField name, toField age]Outputs data on this form: John,56 Jane,55 dHaskell lacks a single-element tuple type, so if you CSV data with just one column you can use the  + type to represent a single-column result.XA type that can be converted from a single CSV record, with the possibility of failure.When writing an instance, use °, ±, or ²' to make a conversion fail, e.g. if a " has the wrong number of columns.Given this example data: John,56 Jane,55$here's an example type and instance: òdata Person = Person { name :: !Text, age :: !Int } instance FromRecord Person where parseRecord v | length v == 2 = Person <$> v .! 0 <*> v .! 1 | otherwise = mzeroA single field within a record.4A record corresponds to a single line in a CSV file.iA wrapper around custom haskell types that can directly be converted/parsed from an incoming CSV stream.[We define this wrapper to stop GHC from complaining about overlapping instances. Just use ( to get your object out of the wrapper.'A shorthand for the ByteString case of MapRow Retrieve the n-th field in the given record. The result is °j if the value cannot be converted to the desired type. Raises an exception if the index is out of bounds.9 is a simple convenience function that is equivalent to  (v ´ idx)@. If you're certain that the index is not out of bounds, using  is somewhat faster. Alias for .Like  but without bounds checking.>Retrieve a field in the given record by name. The result is °R if the field is missing or if the value cannot be converted to the desired type. Alias for .9Construct a pair from a name and a value. For use with . Alias for ."Construct a record from a list of ³s. Use  to convert values to ³s for use with .3Construct a named record from a list of name-value ³ pairs. Use 2 to construct such a pair from a name and a value. Run a , returning either µ errMsg or ¶ result. Forces the value in the µ or ¶( constructors to weak head normal form.^You most likely won't need to use this function directly, but it's included for completeness.!Uses UTF-8 encoding."Uses UTF-8 encoding.#Uses UTF-8 encoding.&Uses decimal encoding.'Uses decimal encoding.(Uses decimal encoding.)Uses decimal encoding.*Uses decimal encoding.+)Uses decimal encoding with optional sign.,)Uses decimal encoding with optional sign.-)Uses decimal encoding with optional sign..)Uses decimal encoding with optional sign./)Uses decimal encoding with optional sign.0)Uses decimal encoding with optional sign.1GUses decimal notation or scientific notation, depending on the number.2GUses decimal notation or scientific notation, depending on the number.3Uses UTF-8 encoding.4· is encoded as an ¸ field.;8Assumes UTF-8 encoding. Fails on invalid byte sequences.<8Assumes UTF-8 encoding. Fails on invalid byte sequences.=8Assumes UTF-8 encoding. Fails on invalid byte sequences.@#Accepts an unsigned decimal number.A#Accepts an unsigned decimal number.B#Accepts an unsigned decimal number.C#Accepts an unsigned decimal number.D#Accepts an unsigned decimal number.E Accepts a signed decimal number.F Accepts a signed decimal number.G Accepts a signed decimal number.H Accepts a signed decimal number.I Accepts a signed decimal number.J Accepts a signed decimal number.KAccepts same syntax as rational.LAccepts same syntax as rational.MAssumes UTF-8 encoding.N Ignores the . Always succeeds.O· if the  is ¸, ¹ otherwise.   $    º»¼½¾¿ÀÁÂÃÄÅÆÇ   9 Safe;vÊA  is a dictionary based on  V where column names are keys and row's individual cell values are the values of the Map.€A € is just a list of fieldsˆSettings for a CSV file. This library is intended to be flexible and offer a way to process the majority of text data files out there.ƒ0Separator character to be used in between fields„AQuote character that may sometimes be present around fields. If ·J is given, the library will never expect quotation even if it is present.… Default settings for a CSV file. $csvSep = ',' csvQuoteChar = Just '"'€‚„ƒ…‚ƒ„…†€‚ƒ„SafexëŠ Try to parse given string as CSV‹'Try to parse given string as 'Row Text'Œ Parse CSVParse a CSV rowŠ‹ŒŠ‹ŒSafez÷Ž Try to parse given string as CSV-Try to parse given string as 'Row ByteString' Parse CSV‘Parse a CSV rowŽ‘Ž‘None ;<=>?QV½Ê’Represents types rN that are CSV-like and can be converted to/from an underlying stream of type s). There is nothing scary about the type:sO represents stream types that can be converted to/from CSV rows. Examples are ³, È and É.rb represents the target CSV row representations that this library can work with. Examples are the € types, the Record type and the S family of types. We can also convert directly to complex Haskell types using the  e module that was borrowed from the cassava package, which was itself inspired by the aeson package.(Example #1: Basics Using Convenience API ÿQimport Data.Conduit import Data.Conduit.Binary import Data.Conduit.List as CL import Data.CSV.Conduit myProcessor :: Conduit (Row Text) m (Row Text) myProcessor = CL.map reverse test = runResourceT $ transformCSV defCSVSettings (sourceFile "input.csv") myProcessor (sinkFile "output.csv")$Example #2: Basics Using Conduit API ÿfimport Data.Conduit import Data.Conduit.Binary import Data.CSV.Conduit myProcessor :: Conduit (MapRow Text) m (MapRow Text) myProcessor = undefined test = runResourceT $ runConduit $ sourceFile "test/BigFile.csv" .| intoCSV defCSVSettings .| myProcessor .| (writeHeaders defCSVSettings >> fromCSV defCSVSettings) .| sinkFile "test/BigFileOut.csv"“4Convert a CSV row into strict ByteString equivalent.”Turn a stream of s\ into a stream of CSV row type. An example would be parsing a ByteString stream as rows of  È.•4Turn a stream of CSV row type back into a stream of s-. An example would be rendering a stream of € ³ rows as È.–\Write headers AND the row into the output stream, once. If you don't call this while using R family of row types, then your resulting output will NOT have any headers in it.!Usage: Just chain this using the Ê instance in your pipeline: OrunConduit $ ... .| writeHeaders settings >> fromCSV settings .| sinkFile "..."—3Read the entire contents of a CSV file into memory.˜cA simple way to decode a CSV string. Don't be alarmed by the polymorphic nature of the signature. s! is the type for the string and v is a kind of Vector here.For example for ³:s <- LB.readFile "my.csv"OdecodeCSV defCSVSettings s :: Either SomeException (Vector (Vector ByteString))1will work as long as the data is comma separated.™&Write CSV data into file. As we use a ³, sink, you'll need to get your data into a ³ stream type.šRMap over the rows of a CSV file. Provided for convenience for historical reasons.*An easy way to run this function would be % after feeding it all the arguments.›ILike transformCSV' but uses the same settings for both input and output.œMGeneral purpose CSV transformer. Apply a list-like processing function from   o to the rows of a CSV stream. You need to provide a stream data source, a transformer and a stream data sink.*An easy way to run this function would be % after feeding it all the arguments.5Example - map a function over the rows of a CSV file: JtransformCSV setIn setOut (sourceFile inFile) (C.map f) (sinkFile outFile)ËIAn efficient sink that incrementally grows a vector from the input streamEConversion of stream directly to/from a custom complex haskell type.žGeneric " instance; any stream type with a € instance automatically gets a  instance.Ÿ Support for parsing rows in the Vector form. € instance using É based on ³… stream. Please note this uses the ByteString operations underneath and has lots of unnecessary overhead. Included for convenience.¡€ instance using È based on ³ stream¢€ instance using È£€ instance using ³—%Settings to use in deciphering stream Input file™ CSV Settings Target fileWrite vs. append mode List of rowsš.Settings to use both for both input and outputA mapping function Input file Output file›-Settings to be used for both input and output1A raw stream data source. Ex: 'sourceFile inFile'A transforming conduit.A raw stream data sink. Ex: 'sinkFile outFile'œSettings to be used for inputSettings to be used for output1A raw stream data source. Ex: 'sourceFile inFile'A transforming conduit.A raw stream data sink. Ex: 'sinkFile outFile'€‚ƒ„…’“”•–—˜™š›œ˜—™›œš–’“”•‚ƒ„…€’“”•Ì  !!"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€‚ƒ„…†‡ˆ‰Š‹ŒŽŽ‘’“”•–—˜™–—˜™š›œžŸ ¡¢£¤¥¦§¨©ª«¬­®¯°±²³¬´µ¶·¸¹º¬»¼¬»½¬»¾¿ÀÁÂÃĬÅƬÅǬ»ȿɼ¬»ÊËÌÍÍÎÏÐÑÒÓÔÕÖ×ØÙ¬»Ú¬»ÛÜÝ*csv-conduit-0.7.0.0-F6BirmlufMOKtiam1sNernData.CSV.ConduitData.CSV.Conduit.ConversionData.CSV.Conduit.TypesData.CSV.Conduit.Parser.Text"Data.CSV.Conduit.Parser.ByteStringData.CSV.Conduit.Monoid$Data.CSV.Conduit.Conversion.InternalDataMap Conversion Data.ConduitList&resourcet-1.2.1-KAo2VEfHug38UZ017ijzL8Control.Monad.Trans.Resource runResourceTParserToFieldtoField FromField parseField ToNamedRecord toNamedRecordFromNamedRecordparseNamedRecordToRecordtoRecordOnlyfromOnly FromRecord parseRecordFieldRecordNamedgetNamed NamedRecordindex.! unsafeIndexlookup.: namedField.=record namedRecord runParser $fToField[] $fToFieldText$fToFieldText0$fToFieldByteString$fToFieldByteString0$fToFieldWord64$fToFieldWord32$fToFieldWord16$fToFieldWord8 $fToFieldWord$fToFieldInt64$fToFieldInt32$fToFieldInt16 $fToFieldInt8$fToFieldInteger $fToFieldInt$fToFieldFloat$fToFieldDouble $fToFieldChar$fToFieldMaybe$fSemigroupParser$fMonadPlusParser$fAlternativeParser$fApplicativeParser$fFunctorParser $fMonadParser $fFromField[]$fFromFieldText$fFromFieldText0$fFromFieldByteString$fFromFieldByteString0$fFromFieldWord64$fFromFieldWord32$fFromFieldWord16$fFromFieldWord8$fFromFieldWord$fFromFieldInt64$fFromFieldInt32$fFromFieldInt16$fFromFieldInt8$fFromFieldInteger$fFromFieldInt$fFromFieldFloat$fFromFieldDouble$fFromFieldChar $fFromField()$fFromFieldMaybe$fFromRecordVector$fFromRecordVector0$fFromRecord[]$fFromRecord(,,,,,,)$fFromRecord(,,,,,)$fFromRecord(,,,,)$fFromRecord(,,,)$fFromRecord(,,)$fFromRecord(,)$fFromRecordOnly$fFromNamedRecordMap$fGFromRecordSum:+:r$fGFromNamedRecordM1$fGFromRecordM1$fGFromRecordProdK1Vector$fGFromRecordProdM1Vector$fGFromRecordProd:*:r$fGFromRecordProdU1r$fGFromRecordSumM1r$fGFromRecordProdM1Map$fGToRecordM1(,)$fGToRecordK1ByteString$fGToRecordM1ByteString$fGToRecordM1f$fGToRecordM1f0$fGToRecord:+:f$fGToRecord:*:f$fGToRecordU1f$fToNamedRecordMap$fToRecordVector$fToRecordVector0 $fToRecord[]$fToRecord(,,,,,,)$fToRecord(,,,,,)$fToRecord(,,,,)$fToRecord(,,,)$fToRecord(,,) $fToRecord(,)$fToRecordOnly $fEqNamed $fShowNamed $fReadNamed $fOrdNamed$fEqOnly $fOrdOnly $fReadOnly $fShowOnlyMapRowRow CSVSettingscsvSep csvQuoteChardefCSVSettings$fDefaultCSVSettings$fReadCSVSettings$fShowCSVSettings$fEqCSVSettingsparseCSVparseRowcsvrowCSVrowToStrintoCSVfromCSV writeHeaders readCSVFile decodeCSV writeCSVFile mapCSVFile transformCSV transformCSV' $fCSVsNamed $fCSVsMap $fCSVsVector$fCSVByteString[]$fCSVByteString[]0 $fCSVText[]$fCSVByteString[]1base Data.Monoid<>FPFormatExponentFixedGeneric floatToDigits GHC.Float RealFloati2ddecimal realFloatSuccessFailureGHC.Baseemptymzerofailbytestring-0.10.8.2Data.ByteString.Internal ByteString&vector-0.12.0.1-LflPw1fguMb6as60UrZpxN Data.Vector! Data.EitherLeftRightNothingData.ByteStringJust GToRecord gtoRecordProxyGFromRecordProdgparseRecordProdGFromRecordSumgparseRecordSumGFromNamedRecordgparseNamedRecord GFromRecord gparseRecordunParser#text-1.2.2.2-EakMpasry3jA6OIwSZhq9MData.Text.InternalTextStringMonad sinkVector