Add missing spaces

Author: Planeshifter

lib/node_modules/@stdlib/random/sample/docs/repl.txt

@@ -46,23 +46,23 @@
     e.g., [ 3, 'abc', null, 3, null ]
 
     // Set sample size:
-    > out = {{alias}}( [ 3, 6, 9 ], { 'size': 10 })
+    > out = {{alias}}( [ 3, 6, 9 ], { 'size': 10 } )
     e.g., [ 6, 3, 9, 9, 9, 6, 9, 6, 9, 3 ]
-    > out = {{alias}}( [ 0, 1 ], { 'size': 20 })
+    > out = {{alias}}( [ 0, 1 ], { 'size': 20 } )
     e.g., [ 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0 ]
 
     // Draw without replacement:
-    > out = {{alias}}( [ 1, 2, 3, 4, 5, 6 ], { 'replace': false, 'size': 3 })
+    > out = {{alias}}( [ 1, 2, 3, 4, 5, 6 ], { 'replace': false, 'size': 3 } )
     e.g., [ 6, 1, 5 ]
-    > out = {{alias}}( [ 0, 1 ], { 'replace': false })
+    > out = {{alias}}( [ 0, 1 ], { 'replace': false } )
     e.g., [ 0, 1 ]
 
     // Assigning non-uniform element probabilities:
     > var x = [ 1, 2, 3, 4, 5, 6 ];
     > var probs = [ 0.1, 0.1, 0.1, 0.1, 0.1, 0.5 ];
-    > out = {{alias}}( x, { 'probs': probs })
+    > out = {{alias}}( x, { 'probs': probs } )
     e.g., [ 5, 6, 6, 5, 6, 4 ]
-    > out = {{alias}}( x, { 'probs': probs, 'size': 3, 'replace': false })
+    > out = {{alias}}( x, { 'probs': probs, 'size': 3, 'replace': false } )
     e.g., [ 6, 4, 1 ]
 
 
@@ -106,13 +106,13 @@
     Examples
     --------
     // Set a seed:
-    > var mysample = {{alias}}.factory({ 'seed': 232 });
+    > var mysample = {{alias}}.factory({ 'seed': 232 } );
     > var out = mysample( 'abcdefg' )
     e.g., [ 'g', 'd', 'g', 'f', 'c', 'e', 'f' ]
 
     // Provide `pool` and set a seed plus a default sample size:
     > var pool = [ 1, 2, 3, 4, 5, 6 ];
-    > mysample = {{alias}}.factory( pool, { 'seed': 232, 'size': 2 });
+    > mysample = {{alias}}.factory( pool, { 'seed': 232, 'size': 2 } );
     > out = mysample()
     e.g., [ 6, 4 ]
     > out = mysample()
@@ -130,14 +130,14 @@
     null
 
     // Override default `size` parameter when invoking created function:
-    > mysample = {{alias}}.factory( [ 0, 1 ], { 'size': 2 });
+    > mysample = {{alias}}.factory( [ 0, 1 ], { 'size': 2 } );
     > out = mysample()
     e.g., [ 1, 1 ]
     > out = mysample({ 'size': 10 })
     e.g, [ 0, 1, 1, 1, 0, 1, 0, 0, 1, 1 ]
 
     // Sample with and without replacement:
-    > mysample = {{alias}}.factory( [ 0, 1 ], { 'size': 2 });
+    > mysample = {{alias}}.factory( [ 0, 1 ], { 'size': 2 } );
     > out = mysample()
     e.g., [ 1, 1 ]
     > out = mysample({ 'replace': false })

lib/node_modules/@stdlib/random/shuffle/docs/repl.txt

@@ -24,7 +24,7 @@
     > var data = [ 1, 2, 3 ];
     > var out = {{alias}}( data )
     e.g., [ 3, 1, 2 ]
-    > out = {{alias}}( data, { 'copy': 'none' });
+    > out = {{alias}}( data, { 'copy': 'none' } );
     > var bool = ( data === out )
     true
 
@@ -69,7 +69,7 @@
     true
     // Default option can be overridden:
     > arr = [ 1, 2, 3, 4 ];
-    > out = myshuffle( arr, { 'copy': 'shallow' });
+    > out = myshuffle( arr, { 'copy': 'shallow' } );
     > bool = ( arr === out )
     false
 

lib/node_modules/@stdlib/stats/bartlett-test/docs/repl.txt

@@ -61,7 +61,7 @@
     ...     'b', 'b', 'b', 'b',
     ...     'c', 'c', 'c', 'c', 'c'
     ... ];
-    > out = {{alias}}( arr, { 'groups': groups })
+    > out = {{alias}}( arr, { 'groups': groups } )
 
     See Also
     --------

lib/node_modules/@stdlib/stats/fligner-test/docs/repl.txt

@@ -61,7 +61,7 @@
     ...     'b', 'b', 'b', 'b',
     ...     'c', 'c', 'c', 'c', 'c'
     ... ];
-    > out = {{alias}}( arr, { 'groups': groups })
+    > out = {{alias}}( arr, { 'groups': groups } )
 
     See Also
     --------

lib/node_modules/@stdlib/stats/kruskal-test/docs/repl.txt

@@ -61,7 +61,7 @@
     ...     'b', 'b', 'b', 'b',
     ...     'c', 'c', 'c', 'c', 'c'
     ... ];
-    > out = {{alias}}( arr, { 'groups': groups })
+    > out = {{alias}}( arr, { 'groups': groups } )
 
     See Also
     --------

lib/node_modules/@stdlib/stats/kstest/docs/repl.txt

@@ -76,7 +76,7 @@
     Examples
     --------
     // Verify that data is drawn from a normal distribution:
-    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory({ 'seed': 4839 });
+    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory({ 'seed': 4839 } );
     > var x = new Array( 100 );
     > for ( var i = 0; i < 100; i++ ) { x[ i ] = rnorm( 3.0, 1.0 ); }
 
@@ -89,7 +89,7 @@
     { pValue: 0.6282, statistic: 0.0733, ... }
 
     // Verify that data is drawn from a uniform distribution:
-    > runif = {{alias:@stdlib/random/base/uniform}}.factory( 0.0, 1.0, { 'seed': 8798 })
+    > runif = {{alias:@stdlib/random/base/uniform}}.factory( 0.0, 1.0, { 'seed': 8798 } )
     > x = new Array( 100 );
     > for ( i = 0; i < x.length; i++ ) { x[ i ] = runif(); }
     > out = {{alias}}( x, 'uniform', 0.0, 1.0 )
@@ -108,21 +108,21 @@
     significance level
 
     // Set custom significance level:
-    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'alpha': 0.1 })
+    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'alpha': 0.1 } )
     { pValue: ~0.7039, statistic: ~0.069, ... }
 
     // Carry out one-sided hypothesis tests:
-    > runif = {{alias:@stdlib/random/base/uniform}}.factory( 0.0, 1.0, { 'seed': 8798 });
+    > runif = {{alias:@stdlib/random/base/uniform}}.factory( 0.0, 1.0, { 'seed': 8798 } );
     > x = new Array( 100 );
     > for ( i = 0; i < x.length; i++ ) { x[ i ] = runif(); }
-    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'alternative': 'less' })
+    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'alternative': 'less' } )
     { pValue: ~0.358, statistic: ~0.07, ... }
-    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'alternative': 'greater' })
+    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'alternative': 'greater' } )
     { pValue: ~0.907, statistic: ~0.02, ... }
 
     // Set `sorted` option to true when data is in increasing order:
     > x = [ 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 ];
-    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'sorted': true })
+    > out = {{alias}}( x, 'uniform', 0.0, 1.0, { 'sorted': true } )
     { pValue: ~1, statistic: 0.1, ... }
 
     See Also

lib/node_modules/@stdlib/stats/ttest/docs/repl.txt

@@ -82,7 +82,7 @@
     Examples
     --------
     // One-sample t-test:
-    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory( 0.0, 2.0, { 'seed': 5776 });
+    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory( 0.0, 2.0, { 'seed': 5776 } );
     > var x = new Array( 100 );
     > for ( var i = 0; i < x.length; i++ ) {
     ...     x[ i ] = rnorm();
@@ -97,7 +97,7 @@
     }
 
     // Paired t-test:
-    > rnorm = {{alias:@stdlib/random/base/normal}}.factory( 1.0, 2.0, { 'seed': 786 });
+    > rnorm = {{alias:@stdlib/random/base/normal}}.factory( 1.0, 2.0, { 'seed': 786 } );
     > x = new Array( 100 );
     > var y = new Array( 100 );
     > for ( i = 0; i < x.length; i++ ) {
@@ -129,7 +129,7 @@
 
     // Choose custom significance level:
     > arr = [ 2, 4, 3, 1, 0 ];
-    > out = {{alias}}( arr, { 'alpha': 0.01 });
+    > out = {{alias}}( arr, { 'alpha': 0.01 } );
     > table = out.print()
     One-sample t-test
 
@@ -145,7 +145,7 @@
 
     // Test for a mean equal to five:
     > var arr = [ 4, 4, 6, 6, 5 ];
-    > out = {{alias}}( arr, { 'mu': 5 })
+    > out = {{alias}}( arr, { 'mu': 5 } )
     {
         rejected: false,
         pValue: 1,
@@ -156,7 +156,7 @@
 
     // Perform one-sided tests:
     > arr = [ 4, 4, 6, 6, 5 ];
-    > out = {{alias}}( arr, { 'alternative': 'less' });
+    > out = {{alias}}( arr, { 'alternative': 'less' } );
     > table = out.print()
     One-sample t-test
 
@@ -170,7 +170,7 @@
     Test Decision: Fail to reject null in favor of alternative at 5%
     significance level
 
-    > out = {{alias}}( arr, { 'alternative': 'greater' });
+    > out = {{alias}}( arr, { 'alternative': 'greater' } );
     > table = out.print()
     One-sample t-test
 

lib/node_modules/@stdlib/stats/ttest2/docs/repl.txt

@@ -112,7 +112,7 @@
     significance level
 
     // Choose a different significance level than `0.05`:
-    > out = {{alias}}( x, y, { 'alpha': 0.1 });
+    > out = {{alias}}( x, y, { 'alpha': 0.1 } );
     > table = out.print()
     Welch two-sample t-test
 
@@ -125,7 +125,7 @@
     Test Decision: Reject null in favor of alternative at 10% significance level
 
     // Perform one-sided tests:
-    > out = {{alias}}( x, y, { 'alternative': 'less' });
+    > out = {{alias}}( x, y, { 'alternative': 'less' } );
     > table = out.print()
     Welch two-sample t-test
 
@@ -138,7 +138,7 @@
 
     Test Decision: Reject null in favor of alternative at 5% significance level
 
-    > out = {{alias}}( x, y, { 'alternative': 'greater' });
+    > out = {{alias}}( x, y, { 'alternative': 'greater' } );
     > table = out.print()
     Welch two-sample t-test
 
@@ -155,7 +155,7 @@
     // Run tests with equal variances assumption:
     > x = [ 2, 3, 1, 4 ];
     > y = [ 1, 2, 3, 1, 2, 5, 3, 4 ];
-    > out = {{alias}}( x, y, { 'variance': 'equal' });
+    > out = {{alias}}( x, y, { 'variance': 'equal' } );
     > table = out.print()
     Two-sample t-test
 
@@ -170,7 +170,7 @@
     significance level
 
     // Test for a difference in means besides zero:
-    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory({ 'seed': 372 });
+    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory({ 'seed': 372 } );
     > x = new Array( 100 );
     > for ( i = 0; i < x.length; i++ ) {
     ...     x[ i ] = rnorm( 2.0, 3.0 );
@@ -179,7 +179,7 @@
     > for ( i = 0; i < x.length; i++ ) {
     ...     y[ i ] = rnorm( 1.0, 3.0 );
     ... }
-    > out = {{alias}}( x, y, { 'difference': 1.0, 'variance': 'equal' })
+    > out = {{alias}}( x, y, { 'difference': 1.0, 'variance': 'equal' } )
     {
         rejected: false,
         pValue: ~0.642,

lib/node_modules/@stdlib/stats/ztest/docs/repl.txt

@@ -72,7 +72,7 @@
     Examples
     --------
     // One-sample z-test:
-    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory( 0.0, 2.0, { 'seed': 212 });
+    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory( 0.0, 2.0, { 'seed': 212 } );
     > var x = new Array( 100 );
     > for ( var i = 0; i < x.length; i++ ) {
     ...     x[ i ] = rnorm();
@@ -89,7 +89,7 @@
 
     // Choose custom significance level and print output:
     > arr = [ 2, 4, 3, 1, 0 ];
-    > out = {{alias}}( arr, 2.0, { 'alpha': 0.01 });
+    > out = {{alias}}( arr, 2.0, { 'alpha': 0.01 } );
     > table = out.print()
     One-sample z-test
 
@@ -105,7 +105,7 @@
 
     // Test for a mean equal to five:
     > var arr = [ 4, 4, 6, 6, 5 ];
-    > out = {{alias}}( arr, 1.0, { 'mu': 5 })
+    > out = {{alias}}( arr, 1.0, { 'mu': 5 } )
     {
         rejected: false,
         pValue: 1,
@@ -116,7 +116,7 @@
 
     // Perform one-sided tests:
     > arr = [ 4, 4, 6, 6, 5 ];
-    > out = {{alias}}( arr, 1.0, { 'alternative': 'less' })
+    > out = {{alias}}( arr, 1.0, { 'alternative': 'less' } )
     {
         alpha: 0.05,
         rejected: false,
@@ -125,7 +125,7 @@
         ci: [ -Infinity, 5.735600904580115 ],
         // ...
     }
-    > out = {{alias}}( arr, 1.0, { 'alternative': 'greater' })
+    > out = {{alias}}( arr, 1.0, { 'alternative': 'greater' } )
     {
         alpha: 0.05,
         rejected: true,

lib/node_modules/@stdlib/stats/ztest2/docs/repl.txt

@@ -114,7 +114,7 @@
     significance level
 
     // Choose a different significance level than `0.05`:
-    > out = {{alias}}( x, y, 2.0, 2.0, { 'alpha': 0.4 });
+    > out = {{alias}}( x, y, 2.0, 2.0, { 'alpha': 0.4 } );
     > table = out.print()
     Two-sample z-test
 
@@ -127,7 +127,7 @@
     Test Decision: Reject null in favor of alternative at 40% significance level
 
     // Perform one-sided tests:
-    > out = {{alias}}( x, y, 2.0, 2.0, { 'alternative': 'less' });
+    > out = {{alias}}( x, y, 2.0, 2.0, { 'alternative': 'less' } );
     > table = out.print()
     Two-sample z-test
 
@@ -141,7 +141,7 @@
     significance level
 
 
-    > out = {{alias}}( x, y, 2.0, 2.0, { 'alternative': 'greater' });
+    > out = {{alias}}( x, y, 2.0, 2.0, { 'alternative': 'greater' } );
     > table = out.print()
     Two-sample z-test
 
@@ -155,7 +155,7 @@
     significance level
 
     // Test for a difference in means besides zero:
-    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory({ 'seed': 372 });
+    > var rnorm = {{alias:@stdlib/random/base/normal}}.factory({ 'seed': 372 } );
     > x = new Array( 100 );
     > for ( i = 0; i < x.length; i++ ) {
     ...     x[ i ] = rnorm( 2.0, 1.0 );
@@ -164,7 +164,7 @@
     ... for ( i = 0; i < x.length; i++ ) {
     ...     y[ i ] = rnorm( 0.0, 2.0 );
     ... }
-    > out = {{alias}}( x, y, 1.0, 2.0, { 'difference': 2.0 })
+    > out = {{alias}}( x, y, 1.0, 2.0, { 'difference': 2.0 } )
     {
         rejected: false,
         pValue: ~0.35,