!uNdD      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQ R S TUVWXYZ[\]^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~  None -FKSTVeFramesReplaceColumns x ys, keeps the textual name of each element of ys", but replaces its data type with x. Frames;Used only for a show instance that parenthesizes the value.$Frames&Get the data payload of a named field.%FramesHelper for making a   !"#$%"#$ !%None7V] 'FramesThis class relates a universe of possible column types to Haskell types, and provides a mechanism to infer which type best represents some textual data.*FramesValues that can be read from a # with more or less discrimination.+FramesReturns  if a value of the given type can not be read; returns 'Just Possibly' if a value can be read, but is likely ambiguous (e.g. an empty string); returns 'Just Definitely' if a value can be read and is unlikely to be ambiguous.",FramesWCombine two parse results such that the combination can fail. Useful when we have two / parsed values that are different enough to suggest the parse of each should be considered a failure. The default implementation is to  the first argument.2Frames,Discard any estimate of a parse's ambiguity.3FramesActs just like  : tries to parse a value from a 5 and discards any estimate of the parse's ambiguity. ')(*-,+.0/123 .0/1*-,+23')(None&'+,-;<=>?AFSTVdei->Frames(A record with unadorned values. This is Vinyl's  E. We give this type a name as it is used pervasively for records in Frames.?FramesA cons function for building > values.@Frames Separate the first element of a > from the rest of the row.AFrames Undistribute  from a  $. This is just a specific usage of , but it is quite common.BFramesShow each field of a > without its column name.CFramesGet the value of a field of a >!. This is intended for use with TypeApplications, as compared to rgetv that is intended for use with OverloadedLabels.DFrames"Replace the value of a field of a >!. This is intended for use with TypeApplications, as compared to  that is intended for use with OverloadedLabels.=>?@ABCD>?=@ABCD?5None&'+-;<=>?FSTVi?AEFramespreview src n f prints out the first n results of piping src through f.FFramesselect (Proxy::Proxy [A,B,C]) extracts columns A, B, and CY, from a larger record. Note, this is just a way of pinning down the type of a usage of .GFrameslenses (Proxy::Proxy [A,B,C]) provides a lens onto columns A, B, and C2. This is just a way of pinning down the type of .HFrames>A proxy value quasiquoter; a way of passing types as values. [pr|T|] will splice an expression Proxy::Proxy T , while  [pr|A,B,C|] will splice in a value of Proxy :: Proxy [A,B,C] . If we have a record type with Name and Age# among other fields, we can write select P[pr|Name,Age|]@ for a function that extracts those fields from a larger record.IFramesLike H7, but takes a single type, which is used to produce a  for a single-element list containing only that type. This is useful for passing a single type to a function that wants a list of types. FramesSplit on a delimiter. Frames'Remove white space from both ends of a  .EFGHIJEFGJHISafe7A KFramesOControl the way values of a type are printed when serializing to a CSV stream.KLKL Safe,-FSTI QFramesRReplace the second component of every tuple in a type-level list with a constant.RFramesReplaceAll x ys3 produces a type-level list of the same length as ys where each element is x/. In other words, it replaces each element of ys with x. This would be map (const x) ys in value-level Haskell.SFramesConstraint that every element of a promoted list is equal to a particular type. That is, the list of types is a single type repeated some number of times.QRSSRQNone%&'+,-;<=>?FQSTVeiSTFrames7A constraint that a field can be deleted from a record.UFrames8Enforce a constraint on the payload type of each column.VFramesCStrip the column information from each element of a list of types.WFrames:A type function to convert a 'Rec f' to a 'Rec (g :. f)'. -ColFun f (Record rs) = Rec (f :. ElField) rs.YFrames%Return the column names for a record. FramesMap a function across a / with monomorphic (i.e. all the same) indices.ZFrames$Map a function across a homogeneous / of named values. This is a thin wrapper over  .[FramesDelete a field from a record TUVWXYZ[[TUV ZWXY NoneST]^FramesA _ whose rows are > values._FramesA _+ is a finite collection of rows indexed by  .cFramesBuild a _ from any . This simply uses a boxed / to hold each row. If you have a collection of >s, consider using  .dFrames Horizontal _ concatenation. That is, zipFrames f1 f2 will return a _% with as many rows as the smaller of f1 and f28 whose rows are the result of appending the columns of f2 to those of f1.iFramesThe  instance for _5 provides a mechanism for vertical concatenation of _ s. That is, f1 <> f2 will return a new _ with the rows of f1 followed by the rows of f2.^_`bacd_`ba^cd None+,-;<=>?FSTVkivFramesdTransform a record into a list of its fields, retaining proof that each field is part of the whole.xFramesThis is {K, but the variables are at the front of the record, which reads a bit odd.yFrames'Turn a cons into a snoc after the fact.zFramesLike melt in the reshape2 package for the R language. It stacks multiple columns into a single column over multiple rows. Takes a specification of the id columns that remain unchanged. The remaining columns will be stacked.Suppose we have a record, r :: Record [Name,Age,Weight]. If we apply melt [pr1|Name|] r, we get two values with type 7Record [Name, "value" :-> CoRec Identity [Age,Weight]]. The first will contain Age in the value& column, and the second will contain Weight in the value column.{FramesApplies z to each row of a ^.lmnopqrstuvwxyz{utsrqopvwnxyzlm{ None,-;=FNSTVd FramesPTooling to allocate, grow, write to, freeze, and index into records of vectors.Frames0Immutable vector types for each column in a row.Frames.Mutable vector types for each column in a row.FramesThe mutable version of  a particular type.Frames9The most efficient vector type for each column data type.FramesSince we stream into the in-memory representation, we use an exponential growth strategy to resize arrays as more data is read in. This is the initial capacity of each column.FramesbStream a finite sequence of rows into an efficient in-memory representation for further manipulation. Each column of the input table will be stored optimally based on its type, making use of the resulting generators a matter of indexing into a densely packed representation. Returns the number of rows and a record of column indexing functions. See  to convert the result to a __ which provides an easier-to-use function that indexes into the table in a row-major fashion.Frames!Stream a finite sequence of rows into an efficient in-memory representation for further manipulation. Each column of the input table will be stored optimally based on its type, making use of the resulting generators a matter of indexing into a densely packed representation. Returns a _3 that provides a function to index into the table.FramesLike R, but applies the provided function to the record of columns before building the _.FramesqConvert a structure-of-arrays to an array-of-structures. This can simplify usage of an in-memory representation.FramesStream a finite sequence of rows into an efficient in-memory representation for further manipulation. Each column of the input table will be stored optimally based on its type, making use of the resulting generator a matter of indexing into a densely packed representation.FramesBuild a _ from a collection of >(s using efficient column-based storage.FramesKeep only those rows of a ^ that satisfy a predicate. None+,-;<=>?FQSTViFrames.Perform an inner join operation on two frames. Requires the language extension TypeApplications( for specifying the columns to join on.QJoins can be done on on one or more columns provided the matched columns have a Grouping instance, most simple types do.\Presently join columns must be present and named identically in both left and right frames. Basic usage: :innerJoin @'[JoinCol1, ..., JoinColN] leftFrame rightFrameFramesPerform an outer join ( FULL JOIN) operation on two frames.)Requires the use the language extension TypeApplications( for specifying the columns to join on.IJoins can be done on on one or more columns provided the columns have a Grouping instance, most simple types do.\Presently join columns must be present and named identically in both left and right frames.Returns a list of Records in the Maybe interpretation functor. If a key in the left table is missing from the right table, non-key columns from the right table are filled with Nothingu. If a key in the right table is missing from the left table, non-key columns from the right table are filled with Nothing. Basic usage: :outerJoin @'[JoinCol1, ..., JoinColN] leftFrame rightFrameFrames.Perform an right join operation on two frames. Requires the language extension TypeApplications( for specifying the columns to join on.IJoins can be done on on one or more columns provided the columns have a Grouping instance, most simple types do.\Presently join columns must be present and named identically in both left and right frames.Returns a list of Records in the Maybe interpretation functor. If a key in the right table is missing from the left table, non-key columns from the right table are filled with Nothing. Basic usage: :rightJoin @'[JoinCol1, ..., JoinColN] leftFrame rightFrameFrames-Perform an left join operation on two frames. Requires the language extension TypeApplications( for specifying the columns to join on.IJoins can be done on on one or more columns provided the columns have a Grouping instance, most simple types do.\Presently join columns must be present and named identically in both left and right frames.Returns a list of Records in the Maybe interpretation functor. If a key in the left table is missing from the right table, non-key columns from the right table are filled with Nothing. Basic usage: 9leftJoin @'[JoinCol1, ..., JoinColN] leftFrame rightFrameFramesThe left frameFramesThe right frameFramesThe joined frameFramesThe left frameFramesThe right frameFrames6A list of the merged records, now in the Maybe functorFramesThe left frameFramesThe right frameFrames6A list of the merged records, now in the Maybe functorFramesThe left frameFramesThe right frameFrames6A list of the merged records, now in the Maybe functorNone %-DFTV]Frames_A categorical variable can take on one of a finite number of textual names. Any value of type  Categorical n has no more than n variants.Frames Ensure the first character of a   is uppercase.FramesHelper for working with y. Takes the name of the type and the number of variants in the sum type in order to determine a compact representation.FramesGenerate a splice with data type declaration and associated instances for type suitable for representing a categorical variable. This is a type that maps between a finite set of textual names and Haskell data constructors. Usage: ;declareCategorical typeName optionalConPrefix variantNames% will produce a data type with name typeName; and data constructors whose names are a concatenation of optionalConPrefix and each element of  variantNames.None&'+-.;<=>?FQSTV]i FramesOA universe of common column variants. These are the default column types that Frames can infer. See the  &http://acowley.github.io/Frames/#sec-4Tutorial> for an example of extending the default types with your own.FramesADefine a set of variants that captures all possible column types.Frames0Common column types including categorical types.FramesCommon column types: ,  , , FramesFInformation necessary for synthesizing row types and comparing types.FramesWExtract a function to test whether some value of a given type could be read from some .FramesHelper to call  on variants of a .FramesMap ^s we know about (with a special treatment of synthesized types for categorical variables) to  s for ordering purposes.FramesWe use a join semi-lattice on types for representations. The bottom of the lattice is effectively an error (we have nothing to represent),  Bool < Int,  Int < Double, and forall n. n <= Text.OThe high-level goal here is that we will pick the "greater" of two choices in . A 0# parse result is preferred over a /' parse result. If we have two distinct /5 parse results, we give up. If we have two distinct 0G parse results, we are in dangerous waters: all data is parseable at both types, so which do we default to? The defaulting choices made here are described in the previous paragraph. If there is no defaulting rule, we give up (i.e. use  as a representation).FramesA helper For the  instance below.FramesFind the best (i.e. smallest) p variant to represent a parsed value. For inspection in GHCi after loading this module, consider this example::set -XTypeApplications:set -XOverloadedStrings#import Data.Vinyl.CoRec (foldCoRec)6foldCoRec parsedTypeRep (bestRep @CommonColumns "2.3")Definitely DoubleNone+,-;<=>?FQSTViNone&'-;<=QSTV]iFramesParsing each component of a RecF= from a list of text chunks, one chunk per record component.Frames:No quoting enabled. The separator may not appear in valuesFramesQuoted values with the given quoting character. Quotes are escaped by doubling them. Mostly RFC4180 compliant, except doesn't support newlines in valuesFramesDefault  ParseOptionsJ get column names from a header line, and use commas to separate columns.FramesDefault separator string.FramesHelper to split a P on commas and strip leading and trailing whitespace from each resulting chunk.FramesqPost processing applied to a list of tokens split by the separator which should have quoted sections reassembeldFramesCInfer column types from a prefix (up to 1000 lines) of a CSV file.Frames8Extract column names and inferred types from a CSV file.FramesOpens a file (in 4) and repeatedly applies the given function to the I to obtain lines to yield. Adapted from the moribund pipes-text package.FramesProduce lines of .FramesDProduce lines of tokens that were separated by the given separator.FramesConsume lines of , writing them to a file.FramesSProduce the lines of a latin1 (or ISO8859 Part 1) encoded file as T.Text  values.FramesRead a RecF from one line of CSV.Frames5Produce rows where any given entry can fail to parse.FramescStream lines of CSV data into rows of Rec  values values where any given entry can fail to parse.FramesStream lines of CSV data into rows of Rec  values values where any given entry can fail to parse. In the case of a parse failure, the raw  of that entry is retained.Frames5Produce rows where any given entry can fail to parse.Frames\Stream lines of CSV data into rows of Rec  values where any given entry can fail to parse.FramesStream lines of CSV data into rows of Rec  values where any given entry can fail to parse. In the case of a parse failure, the raw  of that entry is retained.FramesJReturns a producer of rows for which each column was successfully parsed.FramesPPipe lines of CSV text into rows for which each column was successfully parsed.FramesJReturns a producer of rows for which each column was successfully parsed.FramesPPipe lines of CSV text into rows for which each column was successfully parsed.FramesE a header row with column names followed by a line of text for each >: with each field separated by a comma. If your source of > values is a , consider using  to keep everything streaming.FramesE a header row with column names followed by a line of text for each >< with each field separated by a comma. This is the same as j, but adapated for cases where you have streaming input that you wish to use to produce streaming output.FramesJWrite a header row with column names followed by a line of text for each > to the given file.&&None"#&'-FGNSTViKmFrames{Control how row and named column types are generated. The type argument is a type-level list of the possible column types.FramesaUse these column names. If empty, expect a header row in the data file to provide column names.Frames8A common prefix to use for every generated declaration.Frames0The string that separates the columns on a row.Frames*The row type that enumerates all columns.FramesA record field that mentions the phantom type list of possible column types. Having this field prevents record update syntax from losing track of the type argument.Frames@A producer of rows of T.Text  values that were separated by a  value.FramesGenerate a column type.Frames!Capitalize the first letter of a .FramesLMassage a column name from a CSV file into a valid Haskell type identifier.Frames$Declare a type synonym for a column.Frames)Declare lenses for working with a column.FramesYFor each column, we declare a type synonym for its type, and a Proxy value of that type.FramesFSplice for manually declaring a column of a given type. For example, declareColumn "x2" ''Double will declare a type synonym type X2 = "x2" :-> Double and a lens x2.FramesSplice for manually declaring a column of a given type in which the generated type synonym's name has a prefix applied to the column name. For example, )declarePrefixedColumn "x2" "my" ''Double will declare a type synonym type MyX2 = "x2" :-> Double and a lens myX2.Frames A default . This instructs the type inference engine to get column names from the data file, use the default column separator (a comma), infer column types from the default 1 set of types, and produce a row type with name Row.FramesLike 0, but will also generate custom data types for  Categorical* variables with up to 8 distinct variants.FramesLike  tableType, but additionally generates a type synonym for each column, and a proxy value of that type. If the CSV file has column names "foo", "bar", and "baz", then this will declare type Foo = "foo" :-> Int, for example, foo = rlens @Foo, and foo' = rlens' @Foo.FramesAInspect no more than this many lines when inferring column types.FramesCGenerate a type for a row of a table. This will be something like (Record ["x" :-> a, "y" :-> b, "z" :-> c]. Column type synonyms are not generated (see ). tableType' :: forall a. (ColumnTypeable a, Monoid a) => RowGen a -> DecsQ tableType' (RowGen {..}) = pure . TySynD (mkName rowTypeName) []  $ (runIO (P.runSafeT (readColHeaders opts lineSource)) >>= recDec') where recDec' = recDec . map (second colType) :: [(T.Text, a)] -> Q Type colNames' | null columnNames = Nothing | otherwise = Just (map T.pack columnNames) opts = ParserOptions colNames' separator (RFC4180Quoting '"') lineSource = lineReader separator >-> P.take prefixSize*Tokenize the first line of a P.Producer .FramesKGenerate a type for a row of a table all of whose columns remain unparsed Text values.FramesCGenerate a type for a row of a table. This will be something like (Record ["x" :-> a, "y" :-> b, "z" :-> c]. Additionally generates a type synonym for each column, and a proxy value of that type. If the CSV file has column names "foo", "bar", and "baz", then this will declare type Foo = "foo" :-> Int, for example, foo = rlens @Foo, and foo' = rlens' @Foo.NoneFSTeaFrameshRun a self-contained Pipes.Effect  and execute the finalizers associated with the SafeT  transformer.Frames!Stream a finite sequence of rows into an efficient in-memory representation for further manipulation. Each column of the input table will be stored optimally based on its type, making use of the resulting generators a matter of indexing into a densely packed representation. Returns a _3 that provides a function to index into the table.FramesLike R, but applies the provided function to the record of columns before building the _.FramesStream a finite sequence of rows into an efficient in-memory representation for further manipulation. Each column of the input table will be stored optimally based on its type, making use of the resulting generator a matter of indexing into a densely packed representation.FramesbStream a finite sequence of rows into an efficient in-memory representation for further manipulation. Each column of the input table will be stored optimally based on its type, making use of the resulting generators a matter of indexing into a densely packed representation. Returns the number of rows and a record of column indexing functions. See toAoS to convert the result to a __ which provides an easier-to-use function that indexes into the table in a row-major fashion.u  !"#$%&'()*+,-./0123456"#=>?@ABCDEFGHIJQRSTUVWXYZ[^_`abcdz{3"#z{=>?@ABCD7 !"#!"$!"%!"&!"'!"(!)*!)+!),!)-!./!.0!12!13!14!15!67!68!69!6:!6;!<=!<>?@@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmno p q rstuvwxyz{| } ~ ~                     !" !"#$%&'()*+,-./01&'2&'3456789:;<=>?@AB@CD!.E!.F!.G!.H!.I!.J!.K!.L!.M!.N!.O!.P!.Q!.R!.S!.T!.U!.V!.W!.X!.Y!.Z!.[!.\]#Frames-0.6.0-Ewhsu2a3Xug78Xbbmu328dFrames Frames.RecFFrames.ColumnUniverse Frames.ColFrames.ColumnTypeable Frames.RecFrames.ExplorationFrames.ShowCSVFrames.TypeLevel Frames.Frame Frames.Melt Frames.InCore Frames.JoinsFrames.CategoricalFrames.ExtraInstances Frames.CSV Frames.THtoFrame'pipes-safe-2.3.1-6DAy46CLtE8Dhf913vNKlm Pipes.SaferunSafePrunSafeTSafeT MonadSafe%readable-0.3.1-BcSBcf5TfYB2LKDbOZtqGx Data.ReadablefromBSfromTextReadable text-1.2.3.0Data.Text.InternalText#vinyl-0.10.0-HLpGDGyCoJV79S2sMB15MoData.Vinyl.Derivedrfield withNames' withNames stripNames' stripNamesStripFieldNamesData.Vinyl.CoReconFieldonCoRecCoRecFieldData.Vinyl.LensrcastrsubsetData.Vinyl.Core rtraverse<+>rappendRecData.Vinyl.TypeLevelRDeleteRecAllAllConstrained AllSatisfied AllAllSatData.Vinyl.Functor:.ElFieldReplaceColumnsCol':->ColgetColcol' $fShowCol'ColumnTypeablecolType inferType Parseableparse parseCombinerepresentableAsTypeParsedPossibly Definitely parsedValuediscardConfidenceparse'$fFunctorParsed$fParseableText$fParseableDouble$fParseableFloat$fParseableInt$fParseableBool $fEqParsed $fOrdParsed $fShowParsed RecordColumnsRecord&: recUnconsrecMaybe showFields rgetField rputField pipePreviewselectlensesprpr1 recToListShowCSVshowCSV $fShowCSVText$fShowCSVDouble $fShowCSVInt $fShowCSVBool ReplaceAllSnd ReplaceAllAllAre CanDeleteAllColsUnColumnColFun ColumnHeaders columnHeadersmapMonordel$fColumnHeaders:$fColumnHeaders[]FrameRecFrame frameLengthframeRow boxedFrame zipFrames $fMonadFrame$fApplicativeFrame$fFoldableFrame$fSemigroupFrame $fMonoidFrame $fEqFrame$fFunctorFrame HasLength hasLength RDeleteAll RowToColumnrowToColumnAuxElemOfDisjointNotOrElem rowToColumnmeltAuxmeltRow' retroSnocmeltRowmelt$fRowToColumnats:$fRowToColumnkts[] $fHasLengthk:$fHasLengthk[]RecVecallocRec freezeRecgrowRecwriteRecindexRec produceRecVectorsVectorMs VectorMFor VectorForinitialCapacity inCoreSoA inCoreAoS inCoreAoS'toAoSinCore filterFrame $fRecVec: $fRecVec[] innerJoin outerJoin rightJoinleftJoin Categorical categoriescap unboxDeclsdeclareCategorical$fParseableCategorical$fEqCategorical$fShowCategoricalColumnsColumnUniverseCommonColumnsCat CommonColumnsColInfo parsedTypeRep $fShowCoRec$fColumnTypeableCoRec$fSemigroupCoRec $fMonoidCoRec $fShowColInfo$fNFDataElField $fNFDataFrame$fNFDataCompose$fNFData1Compose $fNFDataRec $fNFDataRec0$fNFData1Identity$fNFDataIdentity$fGroupingText$fGroupingElField $fGroupingRec$fGroupingRec0ReadRecreadRec ParserOptionsheaderOverridecolumnSeparator quotingMode QuotingMode NoQuotingRFC4180Quoting QuoteChar Separator defaultParser defaultSep tokenizeRowreassembleRFC4180QuotedPartsprefixInferencereadColHeaders pipeLinesproduceTextLines produceTokensconsumeTextLinesreadFileLatin1LnreadRowreadTableMaybeOptpipeTableMaybeOptpipeTableEitherOptreadTableMaybepipeTableMaybepipeTableEither readTableOpt pipeTableOpt readTable pipeTable showFieldsCSV produceCSV pipeToCSVwriteCSV$fLiftQuotingMode$fLiftParserOptions $fReadRec: $fReadRec[]$fEqQuotingMode$fShowQuotingMode$fEqParserOptions$fShowParserOptionsRowGen columnNames tablePrefix separator rowTypeNamecolumnUniverse lineReaderrecDec capitalize1sanitizeTypeName mkColSynDec mkColLensDec lowerHeadcolDec declareColumndeclarePrefixedColumnrowGen rowGenCat tableTypes prefixSize colNamesPtableTypesText' tableTypes' runSafeEffectbaseGHC.BaseNothingreturnMayberputf Data.ProxyProxysplitOnstripStringmapMonoVghc-prim GHC.TypesInt Data.FoldableFoldable&vector-0.12.0.1-GC2xzdMF0QQGz7ZCcRBJRL Data.VectorVectorMonoid.vector-th-unbox-0.2.1.6-Io2EERNuo262fUGsDzgnqYData.Vector.Unboxed.Deriving derivingUnboxBoolDoubleinferParseableinferParseable'orderParsePrioritiestemplate-haskellLanguage.Haskell.TH.SyntaxTypelubTypesbestRepmergeEqTypeParses SemigroupGHC.IO.Handle.TypesHandle"pipes-4.3.9-9V0wR5VFlvuFz1qLS0ypXnPipesyield Pipes.CoreProducerrreplacerlensrlens'rputrput'rgetRecElem RecElemFCtxrlensCrgetCrputCRElem RecSubset RecSubsetFCtxrsubsetCrcastC rreplaceCRSubset REquivalent∈⊆≅<::~: