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-rw-r--r--source/ProbabDistrib.h148
1 files changed, 74 insertions, 74 deletions
diff --git a/source/ProbabDistrib.h b/source/ProbabDistrib.h
index ac5f24894..ddaadd9b7 100644
--- a/source/ProbabDistrib.h
+++ b/source/ProbabDistrib.h
@@ -1,74 +1,74 @@
-
-// ProbabDistrib.h
-
-// Declares the cProbabDistrib class representing a discrete probability distribution curve and random generator
-
-/*
-Usage:
-1, Create a cProbabDistrib instance
-2, Initialize the distribution either programmatically, using the SetPoints() function, or using a definition string
-3, Ask for random numbers in that probability distribution using the Random() function
-*/
-
-
-
-
-
-#pragma once
-
-
-
-
-
-// fwd:
-class MTRand;
-
-
-
-
-
-class cProbabDistrib
-{
-public:
- class cPoint
- {
- public:
- int m_Value;
- int m_Probability;
-
- cPoint(int a_Value, int a_Probability) :
- m_Value(a_Value),
- m_Probability(a_Probability)
- {
- }
- } ;
-
- typedef std::vector<cPoint> cPoints;
-
-
- cProbabDistrib(int a_MaxValue);
-
- /// Sets the distribution curve using an array of [value, probability] points, linearly interpolated. a_Points must not be empty.
- void SetPoints(const cPoints & a_Points);
-
- /// Sets the distribution curve using a definition string; returns true on successful parse
- bool SetDefString(const AString & a_DefString);
-
- /// Gets a random value from a_Rand, shapes it into the distribution curve and returns the value.
- int Random(MTRand & a_Rand) const;
-
- /// Maps value in range [0, m_Sum] into the range [0, m_MaxValue] using the stored probability
- int MapValue(int a_OrigValue) const;
-
- int GetSum(void) const { return m_Sum; }
-
-protected:
-
- int m_MaxValue;
- cPoints m_Cumulative; ///< Cumulative probability of the values, sorted, for fast bsearch lookup
- int m_Sum; ///< Sum of all the probabilities across all values in the domain; -1 if not set
-} ;
-
-
-
-
+
+// ProbabDistrib.h
+
+// Declares the cProbabDistrib class representing a discrete probability distribution curve and random generator
+
+/*
+Usage:
+1, Create a cProbabDistrib instance
+2, Initialize the distribution either programmatically, using the SetPoints() function, or using a definition string
+3, Ask for random numbers in that probability distribution using the Random() function
+*/
+
+
+
+
+
+#pragma once
+
+
+
+
+
+// fwd:
+class MTRand;
+
+
+
+
+
+class cProbabDistrib
+{
+public:
+ class cPoint
+ {
+ public:
+ int m_Value;
+ int m_Probability;
+
+ cPoint(int a_Value, int a_Probability) :
+ m_Value(a_Value),
+ m_Probability(a_Probability)
+ {
+ }
+ } ;
+
+ typedef std::vector<cPoint> cPoints;
+
+
+ cProbabDistrib(int a_MaxValue);
+
+ /// Sets the distribution curve using an array of [value, probability] points, linearly interpolated. a_Points must not be empty.
+ void SetPoints(const cPoints & a_Points);
+
+ /// Sets the distribution curve using a definition string; returns true on successful parse
+ bool SetDefString(const AString & a_DefString);
+
+ /// Gets a random value from a_Rand, shapes it into the distribution curve and returns the value.
+ int Random(MTRand & a_Rand) const;
+
+ /// Maps value in range [0, m_Sum] into the range [0, m_MaxValue] using the stored probability
+ int MapValue(int a_OrigValue) const;
+
+ int GetSum(void) const { return m_Sum; }
+
+protected:
+
+ int m_MaxValue;
+ cPoints m_Cumulative; ///< Cumulative probability of the values, sorted, for fast bsearch lookup
+ int m_Sum; ///< Sum of all the probabilities across all values in the domain; -1 if not set
+} ;
+
+
+
+