big rename

lib/pure/math.nim

@@ -1,7 +1,7 @@
 #
 #
-#            Nimrod's Runtime Library
-#        (c) Copyright 2012 Andreas Rumpf
+#            Nim's Runtime Library
+#        (c) Copyright 2014 Andreas Rumpf
 #
 #    See the file "copying.txt", included in this
 #    distribution, for details about the copyright.
@@ -9,7 +9,7 @@
 
 ##   Constructive mathematics is naturally typed. -- Simon Thompson
 ## 
-## Basic math routines for Nimrod.
+## Basic math routines for Nim.
 ## This module is available for the `JavaScript target
 ## <backends.html#the-javascript-target>`_.
 
@@ -41,8 +41,8 @@ const
                                            ## for Nimrod's ``float`` type.
 
 type
-  TFloatClass* = enum ## describes the class a floating point value belongs to.
-                      ## This is the type that is returned by `classify`.
+  FloatClass* = enum ## describes the class a floating point value belongs to.
+                     ## This is the type that is returned by `classify`.
     fcNormal,    ## value is an ordinary nonzero floating point value
     fcSubnormal, ## value is a subnormal (a very small) floating point value
     fcZero,      ## value is zero
@@ -51,10 +51,10 @@ type
     fcInf,       ## value is positive infinity
     fcNegInf     ## value is negative infinity
 
-proc classify*(x: float): TFloatClass = 
+proc classify*(x: float): FloatClass = 
   ## classifies a floating point value. Returns `x`'s class as specified by
-  ## `TFloatClass`.
-    
+  ## `FloatClass`.
+  
   # JavaScript and most C compilers have no classify:
   if x == 0.0:
     if 1.0/x == Inf:
@@ -287,12 +287,14 @@ proc random[T](a: openArray[T]): T =
   result = a[random(a.low..a.len)]
 
 type
-  TRunningStat* {.pure,final.} = object  ## an accumulator for statistical data
-    n*: int                              ## number of pushed data
-    sum*, min*, max*, mean*: float       ## self-explaining
+  RunningStat* = object                 ## an accumulator for statistical data
+    n*: int                             ## number of pushed data
+    sum*, min*, max*, mean*: float      ## self-explaining
     oldM, oldS, newS: float
 
-proc push*(s: var TRunningStat, x: float) = 
+{.deprecated: [TFloatClass: FloatClass, TRunningStat: RunningStat].}
+
+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
@@ -313,16 +315,16 @@ proc push*(s: var TRunningStat, x: float) =
     s.oldS = s.newS
   s.sum = s.sum + x
   
-proc push*(s: var TRunningStat, 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: TRunningStat): 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: TRunningStat): float = 
+proc standardDeviation*(s: RunningStat): float = 
   ## computes the current standard deviation of `s`
   result = sqrt(variance(s))