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stdlib-js · Jan 28, 2024 · e72b58e · e72b58e
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Showing 4 changed files with 14 additions and 6 deletions.
diff --git a/data/data.csv b/data/data.csv
@@ -59,6 +59,7 @@ arrayStream.factory,"arrayStream.factory( [options] )"
 arrayStream.objectMode,"arrayStream.objectMode( src[, options] )"
 arrayview2iterator,"arrayview2iterator( src[, begin[, end]][, mapFcn[, thisArg]] )"
 arrayview2iteratorRight,"arrayview2iteratorRight( src[, begin[, end]][, mapFcn[, thisArg]] )"
+aslice,"aslice( x[, start[, end]] )"
 AsyncIteratorSymbol,"AsyncIteratorSymbol"
 azeros,"azeros( length[, dtype] )"
 azerosLike,"azerosLike( x[, dtype] )"
@@ -4412,8 +4413,15 @@ random.strided.cosine,"random.strided.cosine( N, mu, sm, s, ss, out, so[, option
 random.strided.cosine.ndarray,"random.strided.cosine.ndarray( N, mu, sm, om, s, ss, os, out, so, oo[, options] )"
 random.strided.discreteUniform,"random.strided.discreteUniform( N, a, sa, b, sb, out, so[, options] )"
 random.strided.discreteUniform.ndarray,"random.strided.discreteUniform.ndarray( N, a, sa, oa, b, sb, ob, out, so, oo[, options] )"
-random.strided.exponential,"random.strided.exponential( N, lambda, sl, out, so[, options] )"
-random.strided.exponential.ndarray,"random.strided.exponential.ndarray( N, lambda, sl, ol, out, so, oo[, options] )"
+random.strided.exponential,"random.strided.exponential( N, lambda, sl, out, so )"
+random.strided.exponential.ndarray,"random.strided.exponential.ndarray( N, lambda, sl, ol, out, so, oo )"
+random.strided.exponential.factory,"random.strided.exponential.factory( [options] )"
+random.strided.exponential.PRNG,"random.strided.exponential.PRNG"
+random.strided.exponential.seed,"random.strided.exponential.seed"
+random.strided.exponential.seedLength,"random.strided.exponential.seedLength"
+random.strided.exponential.state,"random.strided.exponential.state"
+random.strided.exponential.stateLength,"random.strided.exponential.stateLength"
+random.strided.exponential.byteLength,"random.strided.exponential.byteLength"
 random.strided.gamma,"random.strided.gamma( N, alpha, sa, beta, sb, out, so[, options] )"
 random.strided.gamma.ndarray,"random.strided.gamma.ndarray( N, alpha, sa, oa, beta, sb, ob, out, so, oo[, options] )"
 random.strided.invgamma,"random.strided.invgamma( N, alpha, sa, beta, sb, out, so[, options] )"

diff --git a/data/data.json b/data/data.json
diff --git a/dist/index.js b/dist/index.js
diff --git a/dist/index.js.map b/dist/index.js.map