// (e.g. [ALetter] [ExtendNumLet] [Katakana] [ExtendNumLet] [ALetter] and
// [ALetter] [Numeric] [MidNum] [Numeric] [ALetter].)
//
// Note 2: the rule for Mid is very approximate, but works in most cases. To
// improve, we could store the categories in the trie value and use a FA to
// manage breaks. See TODO comment above.
//
// Note 3: according to the spec, it is possible for the Extend category to

    /**
     * This unit test can't rely on `BuildSrcClassPathModeConfigurationAction`
     * it is testing the fallback behavior of [SourcePathProvider]
     */
    @Test
    fun `given buildSrc folder, it will fallback to approximate buildSrc source roots`() {
        withFolders {
            "project" {
                "buildSrc/src/main" {
                    +"foo"
                    +"bar"
                }
            }

//         Remark: here we use the taylor series expansion at x=1.
//              erf(1+s) = erf(1) + s*Poly(s)
//                       = 0.845.. + P1(s)/Q1(s)
//         That is, we use rational approximation to approximate
//                      erf(1+s) - (c = (single)0.84506291151)
//         Note that |P1/Q1|< 0.078 for x in [0.84375,1.25]
//         where
//              P1(s) = degree 6 poly in s

//	Let s = f/(2+f) ; based on log(1+f) = log(1+s) - log(1-s)
//		 = 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
//	    R(z) ~ L1*s +L2*s +L3*s +L4*s +L5*s  +L6*s  +L7*s

            if (parsed != -1) {
                // From fork options
                return parsed;
            }

            // If we don't know what the max heap is, approximate it based on OS total memory
            // according to JVM documentation
            if (osTotalMemory != -1) {
                return new MaximumHeapHelper().getDefaultMaximumHeapSize(osTotalMemory);
            }

  %1 = "tf.Identity"(%0) {device = ""} : (tensor<5x10xf32>) -> tensor<*xf32>
  %2 = "tf.Identity"(%1) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>
  return %2 : tensor<*xf32>
}

// CHECK-LABEL: gelu_aten
// CHECK: %0 = "tfl.gelu"(%arg0) <{approximate = false}> : (tensor<5x10xf32>) -> tensor<5x10xf32>

		//	p := unsafe.Pointer(x.Data)
		// because in the middle the garbage collector doesn't
		// see x.Data as a pointer and so x.Data may be dangling
		// by the time we get to the conversion at the end.
		// For now approximate by saying that *Header is okay
		// but Header is not.
		pt, ok := aliases.Unalias(info.Types[x.X].Type).(*types.Pointer)
		if ok && isReflectHeader(pt.Elem()) {
			return true
		}

	case *ast.CallExpr:

// returned in a global (extern) variable named signgam.
// This variable is also filled in by the logarithmic gamma
// function lgamma().
//
// Arguments |x| <= 34 are reduced by recurrence and the function
// approximated by a rational function of degree 6/7 in the
// interval (2,3).  Large arguments are handled by Stirling's
// formula. Large negative arguments are made positive using
// a reflection formula.
//
// ACCURACY:
//

//      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

			"the runtime/debug.SetMemoryLimit function.",
		Kind: KindUint64,
	},
	{
		Name: "/gc/heap/allocs-by-size:bytes",
		Description: "Distribution of heap allocations by approximate size. " +
			"Bucket counts increase monotonically. " +
			"Note that this does not include tiny objects as defined by " +
			"/gc/heap/tiny/allocs:objects, only tiny blocks.",
		Kind:       KindFloat64Histogram,