-1.63092934096575273989e-03, // 0xBF5AB89D0B9E43E4
}

// Lgamma returns the natural logarithm and sign (-1 or +1) of [Gamma](x).
//
// Special cases are:
//
//	Lgamma(+Inf) = +Inf
//	Lgamma(0) = +Inf
//	Lgamma(-integer) = +Inf
//	Lgamma(-Inf) = -Inf
//	Lgamma(NaN) = NaN
func Lgamma(x float64) (lgamma float64, sign int) {
	const (
		Ymin  = 1.461632144968362245

		}
	}
}

func TestGammas(t *testing.T) {
	ζ := big.NewInt(17)
	q := big.NewInt(q)
	for k, gamma := range gammas {
		// ζ^2BitRev7(i)+1
		exp := new(big.Int).Exp(ζ, big.NewInt(int64(BitRev7(uint8(k)))*2+1), q)
		if big.NewInt(int64(gamma)).Cmp(exp) != 0 {
			t.Errorf("gammas[%d] = %v, expected %v", k, gamma, exp)
		}
	}
}

func TestRoundTrip(t *testing.T) {
	dk, err := GenerateKey()
	if err != nil {

	{"hello\x01world", 1, []string{"hello\x01"}, nil},
	{"foo\nbar", 0, []string{"foo\nbar"}, io.EOF},
	{"alpha\nbeta\ngamma\n", '\n', []string{"alpha\n", "beta\n", "gamma\n"}, nil},
	{"alpha\nbeta\ngamma", '\n', []string{"alpha\n", "beta\n", "gamma"}, io.EOF},
}

func TestReadBytes(t *testing.T) {
	for _, test := range readBytesTests {
		buf := NewBufferString(test.buffer)
		var err error

      }
    }
  }
}
node {
  name: "MobilenetV1/Conv2d_0/BatchNorm/gamma/read"
  op: "Identity"
  input: "MobilenetV1/Conv2d_0/BatchNorm/gamma"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "_class"
    value {
      list {
        s: "loc:@MobilenetV1/Conv2d_0/BatchNorm/gamma"
      }
    }
  }
}
node {

      }
    }
  }
}
node {
  name: "MobilenetV1/Conv2d_0/BatchNorm/gamma/read"
  op: "Identity"
  input: "MobilenetV1/Conv2d_0/BatchNorm/gamma"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "_class"
    value {
      list {
        s: "loc:@MobilenetV1/Conv2d_0/BatchNorm/gamma"
      }
    }
  }
}
node {

    $t, $m, $v, $beta, $gamma, F32Attr:$variance_epsilon, ConstBoolAttrFalse:$scale_after_normalization),
  (TF_AddOp
    (TF_MulOp $t, (TF_RsqrtOp:$rsqrt (TF_AddOp $v, (TF_ConstOp $variance_epsilon)))),
    (TF_SubOp $beta, (TF_MulOp $m, $rsqrt)))>;
def ConvertBatchNormWithGlobalNormalization_2 : Pat<
  (TF_BatchNormWithGlobalNormalizationOp

        y = Conj(scope_, x);
        break;
      case COMPLEX:
        y = Complex(scope_, x, x);
        break;
      case ANGLE:
        y = Angle(scope_, x);
        break;
      case LGAMMA:
        y = Lgamma(scope_, x);
        break;
      case ERF:
        y = Erf(scope_, x);
        break;
      case ERFINV:
        y = Erfinv(scope_, x);
        break;
      case NDTRI:

    <groupId>junit</groupId>
    <artifactId>junit</artifactId>
    <version>4.12</version>

    <name>JUnit</name>
    <description>JUnit is a unit testing framework for Java, created by Erich Gamma and Kent Beck.</description>
    <url>http://junit.org</url>
    <inceptionYear>2002</inceptionYear>
    <organization>
        <name>JUnit</name>
        <url>http://www.junit.org</url>
    </organization>

        entities.put("fnof", "\u0192");
        entities.put("Alpha", "\u0391");
        entities.put("Beta", "\u0392");
        entities.put("Gamma", "\u0393");
        entities.put("Delta", "\u0394");
        entities.put("Epsilon", "\u0395");
        entities.put("Zeta", "\u0396");
        entities.put("Eta", "\u0397");
        entities.put("Theta", "\u0398");

		}
	}
	io.WriteString(w, "}\n")

	// We fake a gAMA chunk. The test files have a gAMA chunk but the go PNG
	// parser ignores it (the PNG spec section 11.3 says "Ancillary chunks may
	// be ignored by a decoder").
	if s, ok := fakegAMAs[filename]; ok {
		io.WriteString(w, s)
	} else {
		io.WriteString(w, "gAMA {1.0000}\n")
	}

	// Write the PLTE and tRNS (if applicable).