return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));
  }

  /**
   * Returns a linear transformation giving the best fit to the data according to <a
   * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear
   * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and

	if t.cursorX == 0 && t.cursorY == 0 {
		t.writeLine(t.prompt)
		t.c.Write(t.outBuf)
		t.outBuf = t.outBuf[:0]
	}

	lineIsPasted := t.pasteActive

	for {
		rest := t.remainder
		lineOk := false
		for !lineOk {
			var key rune
			key, rest = bytesToKey(rest, t.pasteActive)
			if key == utf8.RuneError {
				break
			}
			if !t.pasteActive {
				if key == keyCtrlD {
					if len(t.line) == 0 {

    return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));
  }

  /**
   * Returns a linear transformation giving the best fit to the data according to <a
   * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear
   * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and

	"golang.org/x/arch/ppc64/ppc64asm"
	"golang.org/x/arch/x86/x86asm"
)

// Disasm is a disassembler for a given File.
type Disasm struct {
	syms      []Sym            //symbols in file, sorted by address
	pcln      Liner            // pcln table
	text      []byte           // bytes of text segment (actual instructions)
	textStart uint64           // start PC of text
	textEnd   uint64           // end PC of text

				sl := strings.Split(l, ":")
				if len(sl) >= 3 {
					if _, err := strconv.Atoi(sl[len(sl)-2]); err == nil {
						lineNo = sl[len(sl)-2]
					}
				}
				escaped = html.EscapeString(l)
			}
		}
		if lineNo != "" {
			fmt.Fprintf(&out, "<div class=\"l%v line-number ast\">%v</div>", lineNo, escaped)
		} else {
			fmt.Fprintf(&out, "<div class=\"ast\">%v</div>", escaped)
		}
	}
	fmt.Fprint(&out, "</div>")

//   is widened to a full integer array.)

// The overall runtime of this code is linear in the input size:
// it runs a sequence of linear passes to reduce the problem to
// a subproblem at most half as big, invokes itself recursively,
// and then runs a sequence of linear passes to turn the answer
// for the subproblem into the answer for the original problem.

    }

    img {
        max-width: 100% !important
    }

    pre, blockquote, img {
        page-break-inside: avoid
    }
}

header .navbar {
    background-image: linear-gradient(to right, #466BB0, #68AAF7);
    box-shadow: 0 0 2px 2px rgba(0, 0, 0, 0.14), 0 2px 4px 2px rgba(0, 0, 0, 0.28);
    padding-top: .2em;
    padding-bottom: .2em
}

header .navbar .logo {

                    "ctx": {
                        "msg": "Expecting property name enclosed in double quotes",
                        "doc": "{some broken json}",
                        "pos": 1,
                        "lineno": 1,
                        "colno": 2,
                    },
                }
            ]
        }
    )


def test_post_form_for_json(client: TestClient):

                    "ctx": {
                        "msg": "Expecting property name enclosed in double quotes",
                        "doc": "{some broken json}",
                        "pos": 1,
                        "lineno": 1,
                        "colno": 2,
                    },
                }
            ]
        }
    )


@needs_py310
def test_post_form_for_json(client: TestClient):

	// In both cases the algorithm is a linear scan over the two
	// lists - T's methods and V's methods - simultaneously.
	// Since method tables are stored in a unique sorted order
	// (alphabetical, with no duplicate method names), the scan
	// through V's methods must hit a match for each of T's
	// methods along the way, or else V does not implement T.
	// This lets us run the scan in overall linear time instead of