package main import ( "flag" "fmt" "io" _ "net/http/pprof" "git.arvados.org/arvados.git/sdk/go/arvados" ) type pythonPCA struct{} func (cmd *pythonPCA) RunCommand(prog string, args []string, stdin io.Reader, stdout, stderr io.Writer) int { var err error defer func() { if err != nil { fmt.Fprintf(stderr, "%s\n", err) } }() flags := flag.NewFlagSet("", flag.ContinueOnError) flags.SetOutput(stderr) projectUUID := flags.String("project", "", "project `UUID` for output data") inputFilename := flags.String("i", "-", "input `file`") err = flags.Parse(args) if err == flag.ErrHelp { err = nil return 0 } else if err != nil { return 2 } runner := arvadosContainerRunner{ Name: "lightning pca", Client: arvados.NewClientFromEnv(), ProjectUUID: *projectUUID, RAM: 120000000000, VCPUs: 1, } err = runner.TranslatePaths(inputFilename) if err != nil { return 1 } runner.Prog = "python3" runner.Args = []string{"-c", `import sys import scipy from sklearn.decomposition import PCA scipy.save(sys.argv[2], PCA(n_components=4).fit_transform(scipy.load(sys.argv[1])))`, *inputFilename, "/mnt/output/pca.npy"} var output string output, err = runner.Run() if err != nil { return 1 } fmt.Fprintln(stdout, output+"/pca.npy") return 0 }