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Phase 3 of plans/exit.md: the streaming-interface change, the load-bearing piece for #341 (DSL exit statement) and #440 (strict mode). - RecordTransformer.Transform and RecordTransformerFunc now return error. All 69 Transform implementations and their dispatch helpers updated (mechanical rewrite, compiler- and errcheck-verified). - runSingleTransformerBatch, on a Transform error, forwards any output produced before the failure plus an end-of-stream marker downstream, so the rest of the chain and the record-writer drain and finish cleanly; runSingleTransformer then surfaces the error to stream.Stream's select loop (non-blocking send; first error wins) and signals upstream-done so the record-reader stops. This is exactly the flush-then-exit sequencing a future DSL 'exit N' needs. - dataProcessingErrorChannel and FileOutputHandler.recordErroredChannel are now chan error instead of chan bool; ChannelWriter still prints write- error details at the site and sends the 'exiting due to data error' sentinel, preserving the exact stderr shape pinned by regression cases. - Mid-stream os.Exit sites converted to returned errors: put/filter DSL begin/main/end-block errors and the non-boolean filter-expression case, tee write/close failures, split write/open/close failures, join left-file ingest failures (both half-streaming and sorted paths, with full error plumbing through JoinBucketKeeper), histogram/stats2 ingest errors, surv fit errors, and step stepper allocation (tStepperAllocator now returns (tStepper, error); bad EWMA coefficients propagate; negative slwin parameters are reported by the CLI parser via the existing bad-stepper-name pattern). - The two genuinely internal join-bucket-keeper states now use lib.InternalCodingErrorWithMessageIf instead of hand-rolled print+exit. - pkg/transformers is now os.Exit-free. Behavior notes: the non-boolean filter message gains the standard 'mlr: ' prefix and a newline (it previously printed with neither); tee errors now include the underlying cause. All 4779 regression cases pass unchanged; mlr head early-out latency is unaffected (0.02s over 50M records). Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
293 lines
8.9 KiB
Go
293 lines
8.9 KiB
Go
package transformers
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import (
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"errors"
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"fmt"
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"os"
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"strings"
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"github.com/johnkerl/miller/v6/pkg/bifs"
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"github.com/johnkerl/miller/v6/pkg/cli"
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"github.com/johnkerl/miller/v6/pkg/lib"
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"github.com/johnkerl/miller/v6/pkg/mlrval"
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"github.com/johnkerl/miller/v6/pkg/types"
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)
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const verbNameFraction = "fraction"
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var fractionOptions = []OptionSpec{
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{Flag: "-f", Arg: "{a,b,c}", Type: "csv-list", Desc: "Field name(s) for fraction calculation"},
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{Flag: "-g", Arg: "{d,e,f}", Type: "csv-list", Desc: "Optional group-by-field name(s) for fraction counts"},
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{Flag: "-p", Type: "bool", Desc: "Produce percents [0..100], not fractions [0..1]. Output field names end with \"_percent\" rather than \"_fraction\""},
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{Flag: "-c", Type: "bool", Desc: "Produce cumulative distributions, i.e. running sums: each output value folds in the sum of the previous for the specified group. E.g. with input records x=1 x=2 x=3 and x=4, emits output records x=1,x_cumulative_fraction=0.1 x=2,x_cumulative_fraction=0.3 x=3,x_cumulative_fraction=0.6 and x=4,x_cumulative_fraction=1.0"},
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}
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var FractionSetup = TransformerSetup{
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Verb: verbNameFraction,
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UsageFunc: transformerFractionUsage,
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ParseCLIFunc: transformerFractionParseCLI,
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IgnoresInput: false,
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Options: fractionOptions,
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}
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func transformerFractionUsage(
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o *os.File,
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) {
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argv0 := "mlr"
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verb := verbNameFraction
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fmt.Fprintf(o, "Usage: %s %s [options]\n", argv0, verb)
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fmt.Fprintf(o, "For each record's value in specified fields, computes the ratio of that\n")
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fmt.Fprintf(o, "value to the sum of values in that field over all input records.\n")
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fmt.Fprintf(o, "E.g. with input records x=1 x=2 x=3 and x=4, emits output records\n")
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fmt.Fprintf(o, "x=1,x_fraction=0.1 x=2,x_fraction=0.2 x=3,x_fraction=0.3 and x=4,x_fraction=0.4\n")
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fmt.Fprintf(o, "\n")
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fmt.Fprintf(o, "Note: this is internally a two-pass algorithm: on the first pass it retains\n")
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fmt.Fprintf(o, "input records and accumulates sums; on the second pass it computes quotients\n")
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fmt.Fprintf(o, "and emits output records. This means it produces no output until all input is read.\n")
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fmt.Fprintf(o, "\n")
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WriteVerbOptions(o, fractionOptions)
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}
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func transformerFractionParseCLI(
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pargi *int,
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argc int,
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args []string,
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_ *cli.TOptions,
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doConstruct bool, // false for first pass of CLI-parse, true for second pass
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) (RecordTransformer, error) {
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// Skip the verb name from the current spot in the mlr command line
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argi := *pargi
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verb := args[argi]
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argi++
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// Parse local flags
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var fractionFieldNames []string = nil
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var groupByFieldNames []string = nil
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doPercents := false
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doCumu := false
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var err error
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for argi < argc /* variable increment: 1 or 2 depending on flag */ {
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opt := args[argi]
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if !strings.HasPrefix(opt, "-") {
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break // No more flag options to process
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}
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if args[argi] == "--" {
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break // All transformers must do this so main-flags can follow verb-flags
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}
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argi++
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switch opt {
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case "-h", "--help":
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transformerFractionUsage(os.Stdout)
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return nil, cli.ErrHelpRequested
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case "-f":
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fractionFieldNames, err = cli.VerbGetStringArrayArg(verb, opt, args, &argi, argc)
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if err != nil {
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return nil, err
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}
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case "-g":
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groupByFieldNames, err = cli.VerbGetStringArrayArg(verb, opt, args, &argi, argc)
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if err != nil {
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return nil, err
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}
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case "-p":
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doPercents = true
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case "-c":
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doCumu = true
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default:
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return nil, cli.VerbErrorf(verb, "option \"%s\" not recognized", opt)
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}
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}
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if fractionFieldNames == nil {
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return nil, cli.VerbErrorf(verb, "-f field names required")
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}
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*pargi = argi
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if !doConstruct { // All transformers must do this for main command-line parsing
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return nil, nil
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}
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transformer, err := NewTransformerFraction(
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fractionFieldNames,
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groupByFieldNames,
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doPercents,
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doCumu,
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)
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if err != nil {
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return nil, err
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}
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return transformer, nil
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}
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type TransformerFraction struct {
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fractionFieldNames []string
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groupByFieldNames []string
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doCumu bool
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recordsAndContexts []*types.RecordAndContext
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// Two-level map: Group-by field names are the first keyset;
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// fraction field names are keys into the second.
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sums map[string]map[string]*mlrval.Mlrval
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cumus map[string]map[string]*mlrval.Mlrval
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outputFieldNameSuffix string // "_fraction" or "_percent"
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multiplier *mlrval.Mlrval // 1.0 for fraction or 100.0 for percent
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zero *mlrval.Mlrval
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}
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func NewTransformerFraction(
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fractionFieldNames []string,
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groupByFieldNames []string,
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doPercents bool,
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doCumu bool,
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) (*TransformerFraction, error) {
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recordsAndContexts := []*types.RecordAndContext{}
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sums := make(map[string]map[string]*mlrval.Mlrval)
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cumus := make(map[string]map[string]*mlrval.Mlrval)
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var multiplier *mlrval.Mlrval
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var outputFieldNameSuffix string
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if doPercents {
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multiplier = mlrval.FromInt(100)
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if doCumu {
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outputFieldNameSuffix = "_cumulative_percent"
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} else {
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outputFieldNameSuffix = "_percent"
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}
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} else {
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multiplier = mlrval.FromInt(1)
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if doCumu {
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outputFieldNameSuffix = "_cumulative_fraction"
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} else {
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outputFieldNameSuffix = "_fraction"
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}
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}
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zero := mlrval.FromInt(0)
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return &TransformerFraction{
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fractionFieldNames: fractionFieldNames,
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groupByFieldNames: groupByFieldNames,
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doCumu: doCumu,
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recordsAndContexts: recordsAndContexts,
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sums: sums,
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cumus: cumus,
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outputFieldNameSuffix: outputFieldNameSuffix,
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multiplier: multiplier,
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zero: zero,
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}, nil
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}
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func (tr *TransformerFraction) Transform(
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inrecAndContext *types.RecordAndContext,
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outputRecordsAndContexts *[]*types.RecordAndContext, // list of *types.RecordAndContext
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inputDownstreamDoneChannel <-chan bool,
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outputDownstreamDoneChannel chan<- bool,
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) error {
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HandleDefaultDownstreamDone(inputDownstreamDoneChannel, outputDownstreamDoneChannel)
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if !inrecAndContext.EndOfStream { // Not end of stream; pass 1
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inrec := inrecAndContext.Record
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// Append records into a single output list (so that this verb is order-preserving).
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tr.recordsAndContexts = append(tr.recordsAndContexts, inrecAndContext)
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// Accumulate sums of fraction-field values grouped by group-by field names
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groupingKey, hasAll := inrec.GetSelectedValuesJoined(tr.groupByFieldNames)
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if hasAll {
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sumsForGroup := tr.sums[groupingKey]
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var cumusForGroup map[string]*mlrval.Mlrval = nil
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if sumsForGroup == nil {
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sumsForGroup = make(map[string]*mlrval.Mlrval)
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tr.sums[groupingKey] = sumsForGroup
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cumusForGroup = make(map[string]*mlrval.Mlrval)
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tr.cumus[groupingKey] = cumusForGroup
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}
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for _, fractionFieldName := range tr.fractionFieldNames {
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value := inrec.Get(fractionFieldName)
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if value != nil {
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value.AssertNumeric() // may fatal the process
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sum := sumsForGroup[fractionFieldName]
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if sum == nil { // First value for group
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sumsForGroup[fractionFieldName] = value.Copy()
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cumusForGroup[fractionFieldName] = tr.zero
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} else {
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sumsForGroup[fractionFieldName] = bifs.BIF_plus_binary(sum, value)
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}
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}
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}
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}
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} else { // End of stream; pass 2
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// Iterate over the retained records, decorating them with fraction fields.
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endOfStreamContext := inrecAndContext.Context
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for _, recordAndContext := range tr.recordsAndContexts {
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outrec := recordAndContext.Record
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groupingKey, hasAll := outrec.GetSelectedValuesJoined(tr.groupByFieldNames)
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if hasAll {
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sumsForGroup := tr.sums[groupingKey]
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cumusForGroup := tr.cumus[groupingKey]
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lib.InternalCodingErrorIf(sumsForGroup == nil) // should have been populated on pass 1
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for _, fractionFieldName := range tr.fractionFieldNames {
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value := outrec.Get(fractionFieldName)
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if value != nil {
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value.AssertNumeric() // may fatal the process
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var numerator *mlrval.Mlrval
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var cumu *mlrval.Mlrval
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var outputValue *mlrval.Mlrval
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if tr.doCumu {
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cumu = cumusForGroup[fractionFieldName]
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numerator = bifs.BIF_plus_binary(value, cumu)
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} else {
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numerator = value
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}
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denominator := sumsForGroup[fractionFieldName]
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// Return 0 for 0/n
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if mlrval.Equals(numerator, tr.zero) {
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outputValue = tr.zero
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} else if !mlrval.Equals(denominator, tr.zero) {
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outputValue = bifs.BIF_divide(numerator, denominator)
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outputValue = bifs.BIF_times(outputValue, tr.multiplier)
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} else {
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outputValue = mlrval.FromError(
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errors.New(
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"mlr fraction: division by zero",
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),
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)
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}
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outrec.PutCopy(
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fractionFieldName+tr.outputFieldNameSuffix,
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outputValue,
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)
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if tr.doCumu {
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cumusForGroup[fractionFieldName] = bifs.BIF_plus_binary(cumu, value)
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}
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}
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}
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}
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*outputRecordsAndContexts = append(*outputRecordsAndContexts, types.NewRecordAndContext(outrec, &endOfStreamContext))
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}
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tr.recordsAndContexts = tr.recordsAndContexts[:0]
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*outputRecordsAndContexts = append(*outputRecordsAndContexts, inrecAndContext) // end-of-stream marker
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}
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return nil
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}
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