got %v, want %v", result, expected) } }) default: t.Fatalf("unknown key %q on line %d", k, lineNum) } } if err := scanner.Err(); err != nil { t.Fatal(err) } } func TestTotient(t *testing.T) { f, err := os.Open("testdata/gcd_lcm_tests.txt") if err != nil { t.Fatal(err) } var GCD, A, B, LCM string var lineNum int scanner := bufio.NewScanner(f) for scanner.Scan() { lineNum++ line := scanner.Text() if len(line) == 0 || line[0] == '#' { continue } k, v, _ := strings.Cut(line, " = ") switch k { case "GCD":...

got %v, want %v", result, expected) } }) default: t.Fatalf("unknown key %q on line %d", k, lineNum) } } if err := scanner.Err(); err != nil { t.Fatal(err) } } func TestTotient(t *testing.T) { f, err := os.Open("testdata/gcd_lcm_tests.txt") if err != nil { t.Fatal(err) } var GCD, A, B, LCM string var lineNum int scanner := bufio.NewScanner(f) for scanner.Scan() { lineNum++ line := scanner.Text() if len(line) == 0 || line[0] == '#' { continue } k, v, _ := strings.Cut(line, " = ") switch k { case "GCD":...

        in early_s in Estimator
    *   Canned Estimators will now use keras optimizers by default. An error
        will be raised if tf.train.Optimizers are used, and you will have to
        switch to tf.keras.optimizers or tf.compat.v1 canned Estimators.
    *   A checkpoint converter for canned Estimators has been provided to
        transition canned Estimators that are warm started from