Merge branch 'master' into puppet-augeas-lexers

lib/linguist/languages.yml

@@ -304,6 +304,16 @@ Delphi:
   - .lpr
   - .pas
 
+DCPU-16 Assembly:
+  type: programming
+  lexer: dasm16
+  primary_extension: .dasm16
+  extensions:
+  - .dasm
+  - .dasm16
+  aliases:
+  - dasm16
+
 Diff:
   extensions:
   - .diff
@@ -604,6 +614,13 @@ JavaScript:
   filenames:
   - Jakefile
 
+Julia:
+  type: programming
+  lexer: Julia
+  primary_extension: .jl
+  extensions:
+  - .jl
+
 Kotlin:
   type: programming
   lexer: Kotlin

linguist.gemspec

@@ -11,6 +11,6 @@ Gem::Specification.new do |s|
   s.add_dependency 'charlock_holmes', '~> 0.6.6'
   s.add_dependency 'escape_utils',    '~> 0.2.3'
   s.add_dependency 'mime-types',      '~> 1.18'
-  s.add_dependency 'pygments.rb',     '~> 0.2.8'
+  s.add_dependency 'pygments.rb',     '~> 0.2.9'
   s.add_development_dependency 'rake'
 end

test/fixtures/stockcorr.jl

@@ -0,0 +1,37 @@
+## Test case from Issue #445
+
+#STOCKCORR - The original, unoptimised code that simulates two correlated assets
+function stockcorr()
+
+    ## Correlated asset information
+    CurrentPrice = [78. 102.]     # Initial Prices of the two stocks
+    Corr = [1. 0.4; 0.4 1.]       # Correlation Matrix
+    T = 500                       # Number of days to simulate = 2years = 500days
+    n = 100000                    # Number of simulations
+    dt = 1/250                    # Time step (1year = 250days)
+    Div=[0.01 0.01]               # Dividend
+    Vol=[0.2 0.3]                 # Volatility
+
+    ## Market Information
+    r = 0.03                      # Risk-free rate
+
+    ## Define storages
+    SimulPriceA = zeros(T,n)      # Simulated Price of Asset A
+    SimulPriceA[1,:] = CurrentPrice[1]
+    SimulPriceB = zeros(T,n)      # Simulated Price of Asset B
+    SimulPriceB[1,:] = CurrentPrice[2]
+
+    ## Generating the paths of stock prices by Geometric Brownian Motion
+    UpperTriangle=chol(Corr)      # UpperTriangle Matrix by Cholesky decomposition
+
+    for i = 1:n
+       Wiener = randn(T-1,2)
+       CorrWiener = Wiener*UpperTriangle
+       for j = 2:T
+          SimulPriceA[j,i] = SimulPriceA[j-1,i]*exp((r-Div[1]-Vol[1]^2/2)*dt+Vol[1]*sqrt(dt)*CorrWiener[j-1,1])
+          SimulPriceB[j,i] = SimulPriceB[j-1,i]*exp((r-Div[2]-Vol[2]^2/2)*dt+Vol[2]*sqrt(dt)*CorrWiener[j-1,2])
+       end
+    end
+
+    return (SimulPriceA, SimulPriceB)
+end

test/test_blob.rb

@@ -427,6 +427,9 @@ def test_language
 
     # Kotlin
     assert_equal Language['Kotlin'], blob("Foo.kt").language
+
+    # Julia: http://julialang.org/
+    assert_equal Language['Julia'], blob("stockcorr.jl").language
   end
 
   def test_lexer
@@ -438,6 +441,7 @@ def test_lexer
     assert_equal Lexer['Text only'], blob("README").lexer
     assert_equal Lexer['Tea'], blob("foo.tea").lexer
     assert_equal Lexer['vhdl'], blob("foo.vhd").lexer
+    assert_equal Lexer['Julia'], blob("stockcorr.jl").lexer
   end
 
   def test_shebang_script