t.Errorf("invalid query SQL, got %v", result.Statement.SQL.String())
	}
}

type DoubleInt64 struct {
	data int64
}

func (t *DoubleInt64) Scan(val interface{}) error {
	switch v := val.(type) {
	case int64:
		t.data = v * 2
		return nil
	default:
		return fmt.Errorf("DoubleInt64 cant not scan with:%v", v)
	}
}

	switch obj := obj.(type) {
	case *types.Const:
		if w.isDeprecated(obj) {
			w.emitf("const %s //deprecated", obj.Name())
		}
		w.emitf("const %s %s", obj.Name(), w.typeString(obj.Type()))
		x := obj.Val()
		short := x.String()
		exact := x.ExactString()
		if short == exact {
			w.emitf("const %s = %s", obj.Name(), short)
		} else {
			w.emitf("const %s = %s  // %s", obj.Name(), short, exact)
		}

			if err != nil {
				batchLogIf(ctx, err)
				continue
			}
			// TODO: I am not sure we read it back, but we aren't sending whether checksums are single/multipart.
			for k, vals := range opts.Header() {
				for _, v := range vals {
					snowballObj.Headers.Add(k, v)
				}
			}

			input <- snowballObj
		}
	}()

	// Collect and upload all entries.

                return namespace;
            }
            return "http://crawler.codelibs.org/namespace/" + prefix;
        }

        @Override
        public Iterator<String> getPrefixes(final String val) {
            return null; // not used
        }

        @Override
        public String getPrefix(final String uri) {
            return null; // not used
        }
    }

	if n, err := r.WriteTo(w); err != nil || n != int64(len(input)) {
		t.Fatalf("r.WriteTo(w) = %d, %v, want %d, nil", n, err, len(input))
	}

	for i, val := range w.Bytes() {
		if val != input[i] {
			t.Errorf("after write: out[%d] = %#x, want %#x", i, val, input[i])
		}
	}
}

type errorWriterToTest struct {
	rn, wn     int
	rerr, werr error
	expected   error
}

		}
	}
	if haveConstant {
		p.back()
		if p.have(scanner.Float) {
			if prefix != '$' {
				p.errorf("floating-point constant must be an immediate")
			}
			a.Type = obj.TYPE_FCONST
			a.Val = p.floatExpr()
			// fmt.Printf("FCONST %s\n", obj.Dconv(&emptyProg, 0, a))
			p.expectOperandEnd()
			return
		}
		if p.have(scanner.String) {
			if prefix != '$' {

				"application/dita+xml;format=map",
				"application/dita+xml;format=topic",
				"application/dita+xml;format=task",
				"application/dita+xml;format=concept",
				"application/dita+xml;format=val",
				"application/dns",
				"application/dvcs",
				"application/ecmascript",
				"application/edi-consent",
				"application/edi-x12",
				"application/edifact",
				"application/emma+xml",

		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")

  </mime-type>
  <mime-type type="application/dita+xml;format=val">
    <sub-class-of type="application/dita+xml"/>
    <_comment>DITA Conditional Processing Profile</_comment>
    <root-XML localName="val"/>
    <root-XML localName="val" namespaceURI="http://docs.oasis-open.org/namespace"/>
    <glob pattern="*.ditaval"/>
  </mime-type>

	// type of s is string
	// s == a[i]
	g(i, s)
}

var key string
var val interface{}  // element type of m is assignable to val
m := map[string]int{"mon":0, "tue":1, "wed":2, "thu":3, "fri":4, "sat":5, "sun":6}
for key, val = range m {
	h(key, val)
}
// key == last map key encountered in iteration
// val == map[key]

var ch chan Work = producer()
for w := range ch {
	doWork(w)
}