Removed spurious file.

Project: http://git-wip-us.apache.org/repos/asf/commons-rng/repo
Commit: http://git-wip-us.apache.org/repos/asf/commons-rng/commit/7b4f9fd5
Tree: http://git-wip-us.apache.org/repos/asf/commons-rng/tree/7b4f9fd5
Diff: http://git-wip-us.apache.org/repos/asf/commons-rng/diff/7b4f9fd5

Branch: refs/heads/multimodule
Commit: 7b4f9fd5d545c53a559f4f875158171956065aa1
Parents: 5f3d79e
Author: Gilles <[email protected]>
Authored: Wed Nov 2 05:50:02 2016 +0100
Committer: Gilles <[email protected]>
Committed: Wed Nov 2 05:50:02 2016 +0100

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 .../org/apache/commons/rng/package-info.java    | 95 --------------------
 1 file changed, 95 deletions(-)
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http://git-wip-us.apache.org/repos/asf/commons-rng/blob/7b4f9fd5/commons-rng-core/src/main/java/org/apache/commons/rng/package-info.java
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diff --git 
a/commons-rng-core/src/main/java/org/apache/commons/rng/package-info.java 
b/commons-rng-core/src/main/java/org/apache/commons/rng/package-info.java
deleted file mode 100644
index 7218099..0000000
--- a/commons-rng-core/src/main/java/org/apache/commons/rng/package-info.java
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@@ -1,95 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-/**
- * <h3>Randomness Providers</h3>
- *
- * <p>
- * This package contains the public API for generating sequences of
- * pseudo-random numbers that are <i>uniformly distributed</i> in a
- * specified range.
- * <br>
- * All implemented generators can be instantiated through
- * {@link org.apache.commons.rng.RandomSource factory methods}.
- * The low-level classes, that define how the randomness is produced,
- * are implemented in package {@link org.apache.commons.rng.internal}
- * and its sub-packages, but should not be used directly.
- * <br>
- * The generators are <i>not</i> thread-safe: Parallel applications must
- * use different generator instances in different threads.
- * </p>
- *
- * <p>
- * In the case of pseudo-random generators, the source of randomness is
- * usually a set of numbers whose bits representation are scrambled in such
- * a way as to produce a random-looking sequence.
- * <br>
- * The main property of the sequence is that the numbers must be uniformly
- * distributed within their allowed range.
- * <br>
- * Classes in this package do not provide any further processing of the
- * number generation such as to match other types of distribution.
- * </p>
- *
- * <p>
- * Which source of randomness to choose may depend on which properties
- * are more important.
- * Considerations can include speed of generation, memory usage, period
- * size, equidistribution, correlation, etc.
- * <br>
- * For some of the generators, interesting properties (of the reference
- * implementations) are proven in scientific papers.
- * Some generators can also suffer from potential weaknesses.
- * </p>
- *
- * <p>
- * For simple sampling, any of the generators implemented in this library
- * may be sufficient.
- * <br>
- * For Monte-Carlo simulations that require generating high-dimensional
- * vectors), equidistribution and non-correlation are crucial.
- * The <i>Mersenne Twister</i> and <i>Well</i> generators have
- * equidistribution properties proven according to their bits pool size
- * which is directly related to their period (all of them have maximal
- * period, i.e. a generator with size {@code n} pool has a period
- * <code>2<sup>n</sup>-1</code>).
- * They also have equidistribution properties for 32 bits blocks up to
- * {@code s/32} dimension where {@code s} is their pool size.
- * <br>
- * For example, {@code Well19937c} is equidistributed up to dimension 623
- * (i.e. 19937 divided by 32).
- * It means that a Monte-Carlo simulation generating vectors of {@code n}
- * (32-bits integer) variables at each iteration has some guarantee on the
- * properties of its components as long as {@code n < 623}.
- * Note that if the variables are of type {@code double}, the limit is
- * divided by two (since 64 bits are needed to create a {@code double}).
- * <br>
- * Reference to the relevant publications are listed in the specific
- * documentation of each class.
- * </p>
- *
- * <p>
- * Memory usage can vary a lot between providers.
- * The state of {@code MersenneTwister} is composed of 624 integers,
- * using about 2.5 kB.
- * The <i>Well</i> generators use 6 integer arrays, the length of each
- * being equal to the pool size; thus, for example, {@code Well44497b}
- * uses about 33 kB.
- * </p>
- */
-
-package org.apache.commons.rng;

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