disable vcc specific code which doesn't work

lib/pure/math.nim

@@ -8,11 +8,11 @@
 #
 
 ##   Constructive mathematics is naturally typed. -- Simon Thompson
-## 
+##
 ## Basic math routines for Nim.
 ## This module is available for the `JavaScript target
 ## <backends.html#the-javascript-target>`_.
-## 
+##
 ## Note that the trigonometric functions naturally operate on radians.
 ## The helper functions `degToRad` and `radToDeg` provide conversion
 ## between radians and degrees.
@@ -38,9 +38,9 @@ const
   MaxFloat32Precision* = 8  ## maximum number of meaningful digits
                             ## after the decimal point for Nim's
                             ## ``float32`` type.
-  MaxFloatPrecision* = MaxFloat64Precision ## maximum number of 
+  MaxFloatPrecision* = MaxFloat64Precision ## maximum number of
                                            ## meaningful digits
-                                           ## after the decimal point 
+                                           ## after the decimal point
                                            ## for Nim's ``float`` type.
   RadPerDeg = PI / 180.0 ## number of radians per degree
 
@@ -55,10 +55,10 @@ type
     fcInf,       ## value is positive infinity
     fcNegInf     ## value is negative infinity
 
-proc classify*(x: float): FloatClass = 
+proc classify*(x: float): FloatClass =
   ## classifies a floating point value. Returns `x`'s class as specified by
   ## `FloatClass`.
-  
+
   # JavaScript and most C compilers have no classify:
   if x == 0.0:
     if 1.0/x == Inf:
@@ -73,15 +73,15 @@ proc classify*(x: float): FloatClass =
   # XXX: fcSubnormal is not detected!
 
 
-proc binom*(n, k: int): int {.noSideEffect.} = 
+proc binom*(n, k: int): int {.noSideEffect.} =
   ## computes the binomial coefficient
   if k <= 0: return 1
   if 2*k > n: return binom(n, n-k)
   result = n
   for i in countup(2, k):
     result = (result * (n + 1 - i)) div i
-    
+
-proc fac*(n: int): int {.noSideEffect.} = 
+proc fac*(n: int): int {.noSideEffect.} =
   ## computes the faculty/factorial function.
   result = 1
   for i in countup(2, n):
@@ -95,7 +95,7 @@ proc isPowerOfTwo*(x: int): bool {.noSideEffect.} =
 proc nextPowerOfTwo*(x: int): int {.noSideEffect.} =
   ## returns `x` rounded up to the nearest power of two.
   ## Zero and negative numbers get rounded up to 1.
-  result = x - 1 
+  result = x - 1
   when defined(cpu64):
     result = result or (result shr 32)
   when sizeof(int) > 2:
@@ -114,8 +114,8 @@ proc countBits32*(n: int32): int {.noSideEffect.} =
   v = (v and 0x33333333'i32) +% ((v shr 2'i32) and 0x33333333'i32)
   result = ((v +% (v shr 4'i32) and 0xF0F0F0F'i32) *% 0x1010101'i32) shr 24'i32
 
-proc sum*[T](x: openArray[T]): T {.noSideEffect.} = 
+proc sum*[T](x: openArray[T]): T {.noSideEffect.} =
-  ## computes the sum of the elements in `x`. 
+  ## computes the sum of the elements in `x`.
   ## If `x` is empty, 0 is returned.
   for i in items(x): result = result + i
 
@@ -129,7 +129,7 @@ proc mean*[T](x: openArray[T]): float {.noSideEffect.} =
   result = result / toFloat(len(x))
 
 proc variance*[T](x: openArray[T]): float {.noSideEffect.} =
-  ## computes the variance of the elements in `x`. 
+  ## computes the variance of the elements in `x`.
   ## If `x` is empty, NaN is returned.
   ## ``toFloat(x: T): float`` must be defined.
   result = 0.0
@@ -156,7 +156,7 @@ proc randomize*() {.benign.}
   ## initializes the random number generator with a "random"
   ## number, i.e. a tickcount. Note: Does nothing for the JavaScript target,
   ## as JavaScript does not support this.
-  
+
 proc randomize*(seed: int) {.benign.}
   ## initializes the random number generator with a specific seed.
   ## Note: Does nothing for the JavaScript target,
@@ -168,14 +168,14 @@ when not defined(JS):
     ## computes the square root of `x`.
   proc cbrt*(x: float): float {.importc: "cbrt", header: "<math.h>".}
     ## computes the cubic root of `x`
-  
+
   proc ln*(x: float): float {.importc: "log", header: "<math.h>".}
     ## computes ln(x).
   proc log10*(x: float): float {.importc: "log10", header: "<math.h>".}
   proc log2*(x: float): float = return ln(x) / ln(2.0)
   proc exp*(x: float): float {.importc: "exp", header: "<math.h>".}
     ## computes e**x.
-  
+
   proc frexp*(x: float, exponent: var int): float {.
     importc: "frexp", header: "<math.h>".}
     ## Split a number into mantissa and exponent.
@@ -183,10 +183,10 @@ when not defined(JS):
     ## and less than 1) and the integer value n such that `x` (the original
     ## float value) equals m * 2**n. frexp stores n in `exponent` and returns
     ## m.
-  
+
   proc round*(x: float): int {.importc: "lrint", header: "<math.h>".}
-    ## converts a float to an int by rounding.  
+    ## converts a float to an int by rounding.
-  
+
   proc arccos*(x: float): float {.importc: "acos", header: "<math.h>".}
   proc arcsin*(x: float): float {.importc: "asin", header: "<math.h>".}
   proc arctan*(x: float): float {.importc: "atan", header: "<math.h>".}
@@ -195,31 +195,31 @@ when not defined(JS):
     ## `atan2` returns the arc tangent of `y` / `x`; it produces correct
     ## results even when the resulting angle is near pi/2 or -pi/2
     ## (`x` near 0).
-  
+
   proc cos*(x: float): float {.importc: "cos", header: "<math.h>".}
   proc cosh*(x: float): float {.importc: "cosh", header: "<math.h>".}
   proc hypot*(x, y: float): float {.importc: "hypot", header: "<math.h>".}
     ## same as ``sqrt(x*x + y*y)``.
-  
+
   proc sinh*(x: float): float {.importc: "sinh", header: "<math.h>".}
   proc sin*(x: float): float {.importc: "sin", header: "<math.h>".}
   proc tan*(x: float): float {.importc: "tan", header: "<math.h>".}
   proc tanh*(x: float): float {.importc: "tanh", header: "<math.h>".}
   proc pow*(x, y: float): float {.importc: "pow", header: "<math.h>".}
     ## computes x to power raised of y.
-  
+
   proc erf*(x: float): float {.importc: "erf", header: "<math.h>".}
     ## The error function
   proc erfc*(x: float): float {.importc: "erfc", header: "<math.h>".}
     ## The complementary error function
-  
+
   proc lgamma*(x: float): float {.importc: "lgamma", header: "<math.h>".}
     ## Natural log of the gamma function
   proc tgamma*(x: float): float {.importc: "tgamma", header: "<math.h>".}
     ## The gamma function
-    
+
   # C procs:
-  when defined(vcc):
+  when defined(vcc) and false:
     # The "secure" random, available from Windows XP
     # https://msdn.microsoft.com/en-us/library/sxtz2fa8.aspx
     # Present in some variants of MinGW but not enough to justify
@@ -230,7 +230,7 @@ when not defined(JS):
   else:
     proc srand(seed: cint) {.importc: "srand", header: "<stdlib.h>".}
     proc rand(): cint {.importc: "rand", header: "<stdlib.h>".}
-  
+
   when not defined(windows):
     proc srand48(seed: clong) {.importc: "srand48", header: "<stdlib.h>".}
     proc drand48(): float {.importc: "drand48", header: "<stdlib.h>".}
@@ -256,7 +256,7 @@ when not defined(JS):
         # on MSDN and very unlikely to change
         const rand_max = 32767
         result = (float(rand()) / float(rand_max)) * max
-  
+
   when not defined(vcc): # the above code for vcc uses `discard` instead
     # this is either not Windows or is Windows without vcc
     proc randomize() =
@@ -264,7 +264,7 @@ when not defined(JS):
     proc randomize(seed: int) =
       srand(cint(seed)) # rand_s doesn't use srand
       when declared(srand48): srand48(seed)
-    
+
   proc random(max: int): int =
     result = int(rand()) mod max
 
@@ -284,7 +284,7 @@ else:
     result = float(mathrandom() * float(max))
   proc randomize() = discard
   proc randomize(seed: int) = discard
-  
+
   proc sqrt*(x: float): float {.importc: "Math.sqrt", nodecl.}
   proc ln*(x: float): float {.importc: "Math.log", nodecl.}
   proc log10*(x: float): float = return ln(x) / ln(10.0)
@@ -293,7 +293,7 @@ else:
   proc exp*(x: float): float {.importc: "Math.exp", nodecl.}
   proc round*(x: float): int {.importc: "Math.round", nodecl.}
   proc pow*(x, y: float): float {.importc: "Math.pow", nodecl.}
-  
+
   proc frexp*(x: float, exponent: var int): float =
     if x == 0.0:
       exponent = 0
@@ -309,7 +309,7 @@ else:
   proc arcsin*(x: float): float {.importc: "Math.asin", nodecl.}
   proc arctan*(x: float): float {.importc: "Math.atan", nodecl.}
   proc arctan2*(y, x: float): float {.importc: "Math.atan2", nodecl.}
-  
+
   proc cos*(x: float): float {.importc: "Math.cos", nodecl.}
   proc cosh*(x: float): float = return (exp(x)+exp(-x))*0.5
   proc hypot*(x, y: float): float = return sqrt(x*x + y*y)
@@ -334,7 +334,7 @@ proc `mod`*(x, y: float): float =
   ## Computes the modulo operation for float operators. Equivalent
   ## to ``x - y * floor(x/y)``. Note that the remainder will always
   ## have the same sign as the divisor.
-  ## 
+  ##
   ## .. code-block:: nim
   ##  echo (4.0 mod -3.1) # -2.2
   result = if y == 0.0: x else: x - y * (x/y).floor
@@ -355,7 +355,7 @@ type
 
 {.deprecated: [TFloatClass: FloatClass, TRunningStat: RunningStat].}
 
-proc push*(s: var RunningStat, x: float) = 
+proc push*(s: var RunningStat, x: float) =
   ## pushes a value `x` for processing
   inc(s.n)
   # See Knuth TAOCP vol 2, 3rd edition, page 232
@@ -375,17 +375,17 @@ proc push*(s: var RunningStat, x: float) =
     s.oldM = s.mean
     s.oldS = s.newS
   s.sum = s.sum + x
-  
+
-proc push*(s: var RunningStat, x: int) = 
+proc push*(s: var RunningStat, x: int) =
   ## pushes a value `x` for processing. `x` is simply converted to ``float``
   ## and the other push operation is called.
   push(s, toFloat(x))
-  
+
-proc variance*(s: RunningStat): float = 
+proc variance*(s: RunningStat): float =
   ## computes the current variance of `s`
   if s.n > 1: result = s.newS / (toFloat(s.n - 1))
 
-proc standardDeviation*(s: RunningStat): float = 
+proc standardDeviation*(s: RunningStat): float =
   ## computes the current standard deviation of `s`
   result = sqrt(variance(s))
 
@@ -442,7 +442,7 @@ when isMainModule and not defined(JS):
   # Check for no side effect annotation
   proc mySqrt(num: float): float {.noSideEffect.} =
     return sqrt(num)
-  
+
   # check gamma function
   assert(tgamma(5.0) == 24.0) # 4!
   assert(lgamma(1.0) == 0.0) # ln(1.0) == 0.0