//      the interval [0,0.34658]:
//      Write
//          R(r**2) = r*(exp(r)+1)/(exp(r)-1) = 2 + r*r/6 - r**4/360 + ...
//      We use a special Remez algorithm on [0,0.34658] to generate
//      a polynomial of degree 5 to approximate R. The maximum error
//      of this polynomial approximation is bounded by 2**-59. In
//      other words,
//          R(z) ~ 2.0 + P1*z + P2*z**2 + P3*z**3 + P4*z**4 + P5*z**5

			// ingest these resize events.
			return
		}
	}
}

// createChannels returns the standard channel types for a shell connection (STDIN 0, STDOUT 1, STDERR 2)
// along with the approximate duplex value. It also creates the error (3) and resize (4) channels.
func createChannels(opts Options) []wsstream.ChannelType {
	// open the requested channels, and always open the error channel

			util.ByteCount(ResourceSize(res)), info, debug)
	}

	return nil
}

func ResourceSize(r model.Resources) int {
	// Approximate size by looking at the Any marshaled size. This avoids high cost
	// proto.Size, at the expense of slightly under counting.
	size := 0
	for _, r := range r {
		size += len(r.Resource.Value)
	}
	return size

//               = 2s + 2/3 s**3 + 2/5 s**5 + .....,
//               = 2s + s*R
//      We use a special Reme algorithm on [0,0.1716] to generate
//      a polynomial of degree 14 to approximate R The maximum error
//      of this polynomial approximation is bounded by 2**-58.45. In
//      other words,
//                      2      4      6      8      10      12      14

			}
			stack = stack[:len(stack)-1]
		}
		i++
	}
}

// traverse builds the table of events representing a traversal.
func traverse(files []*ast.File) []event {
	// Preallocate approximate number of events
	// based on source file extent.
	// This makes traverse faster by 4x (!).
	var extent int
	for _, f := range files {
		extent += int(f.End() - f.Pos())
	}

			if n.Lhs != nil {
				m = n.Lhs
				continue
			}
			m = n.X
		// case *CaseClause:
		// case *CommClause:

		default:
			return n.Pos()
		}
	}
}

// EndPos returns the approximate end position of n in the source.
// For some nodes (*Name, *BasicLit) it returns the position immediately
// following the node; for others (*BlockStmt, *SwitchStmt, etc.) it

//                   = 1 - r**2/60 + r**4/2520 - r**6/100800 + ...
//      We use a special Reme algorithm on [0,0.347] to generate
//      a polynomial of degree 5 in r*r to approximate R1. The
//      maximum error of this polynomial approximation is bounded
//      by 2**-61. In other words,
//          R1(z) ~ 1.0 + Q1*z + Q2*z**2 + Q3*z**3 + Q4*z**4 + Q5*z**5

	// can compute n / d as ⌊n * c / 2^F⌋, where c is ⌈2^F / d⌉ and F is
	// computed with:
	//
	// 	Algorithm 2: Algorithm to select the number of fractional bits
	// 	and the scaled approximate reciprocal in the case of unsigned
	// 	integers.
	//
	// 	if d is a power of two then
	// 		Let F ← log₂(d) and c = 1.
	// 	else
	// 		Let F ← N + L where L is the smallest integer