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           Cargo.lock
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Files:     src/distributions/slice.rs
           src/rngs/xoshiro128plusplus.rs
           src/rngs/xoshiro256plusplus.rs
Copyright: 2018-2021 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.

Files:     LICENSE-MIT
Copyright: 2014 The Rust Project Developers
           2018 Developers of the Rand project
License:   Expat
 Permission is hereby granted, free of charge, to any
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Files:     src/distributions/weighted.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Weighted index sampling
 !
 ! This module is deprecated. Use [`crate::distributions::WeightedIndex`] and
 ! [`crate::distributions::WeightedError`] instead.

Files:     src/rngs/thread.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Thread-local random number generator

Files:     src/rngs/std.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! The standard RNG

Files:     src/distributions/integer.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! The implementations of the `Standard` distribution for integer types.

Files:     src/distributions/bernoulli.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! The Bernoulli distribution.

Files:     src/rngs/mod.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Random number generators and adapters
 !
 ! ## Background: Random number generators (RNGs)
 !
 ! Computers cannot produce random numbers from nowhere. We classify
 ! random number generators as follows:
 !
 ! -   "True" random number generators (TRNGs) use hard-to-predict data sources
 !     (e.g. the high-resolution parts of event timings and sensor jitter) to
 !     harvest random bit-sequences, apply algorithms to remove bias and
 !     estimate available entropy, then combine these bits into a byte-sequence
 !     or an entropy pool. This job is usually done by the operating system or
 !     a hardware generator (HRNG).
 ! -   "Pseudo"-random number generators (PRNGs) use algorithms to transform a
 !     seed into a sequence of pseudo-random numbers. These generators can be
 !     fast and produce well-distributed unpredictable random numbers (or not).
 !     They are usually deterministic: given algorithm and seed, the output
 !     sequence can be reproduced. They have finite period and eventually loop;
 !     with many algorithms this period is fixed and can be proven sufficiently
 !     long, while others are chaotic and the period depends on the seed.
 ! -   "Cryptographically secure" pseudo-random number generators (CSPRNGs)
 !     are the sub-set of PRNGs which are secure. Security of the generator
 !     relies both on hiding the internal state and using a strong algorithm.
 !
 ! ## Traits and functionality
 !
 ! All RNGs implement the [`RngCore`] trait, as a consequence of which the
 ! [`Rng`] extension trait is automatically implemented. Secure RNGs may
 ! additionally implement the [`CryptoRng`] trait.
 !
 ! All PRNGs require a seed to produce their random number sequence. The
 ! [`SeedableRng`] trait provides three ways of constructing PRNGs:
 !

Files:     src/distributions/mod.rs
Copyright: 2013-2017 The Rust Project Developers.
           2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Generating random samples from probability distributions
 !
 ! This module is the home of the [`Distribution`] trait and several of its
 ! implementations. It is the workhorse behind some of the convenient
 ! functionality of the [`Rng`] trait, e.g. [`Rng::gen`] and of course
 ! [`Rng::sample`].
 !
 ! Abstractly, a [probability distribution] describes the probability of
 ! occurrence of each value in its sample space.
 !
 ! More concretely, an implementation of `Distribution` for type `X` is an
 ! algorithm for choosing values from the sample space (a subset of `T`)
 ! according to the distribution `X` represents, using an external source of
 ! randomness (an RNG supplied to the `sample` function).
 !
 ! A type `X` may implement `Distribution` for multiple types `T`.
 ! Any type implementing [`Distribution`] is stateless (i.e. immutable),
 ! but it may have internal parameters set at construction time (for example,
 ! [`Uniform`] allows specification of its sample space as a range within `T`).
 !
 !
 ! # The `Standard` distribution
 !
 ! The [`Standard`] distribution is important to mention. This is the
 ! distribution used by [`Rng::gen`] and represents the "default" way to
 ! produce a random value for many different types, including most primitive
 ! types, tuples, arrays, and a few derived types. See the documentation of
 ! [`Standard`] for more details.
 !
 ! Implementing `Distribution` for [`Standard`] for user types `T` makes it
 ! possible to generate type `T` with [`Rng::gen`], and by extension also
 ! with the [`random`] function.
 !
 ! ## Random characters
 !
 ! [`Alphanumeric`] is a simple distribution to sample random letters and
 ! numbers of the `char` type; in contrast [`Standard`] may sample any valid
 ! `char`.
 !
 !
 ! # Uniform numeric ranges
 !
 ! The [`Uniform`] distribution is more flexible than [`Standard`], but also
 ! more specialised: it supports fewer target types, but allows the sample
 ! space to be specified as an arbitrary range within its target type `T`.
 ! Both [`Standard`] and [`Uniform`] are in some sense uniform distributions.
 !
 ! Values may be sampled from this distribution using [`Rng::sample(Range)`] or
 ! by creating a distribution object with [`Uniform::new`],

Files:     src/rngs/adapter/mod.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Wrappers / adapters forming RNGs

Files:     src/seq/mod.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Sequence-related functionality
 !
 ! This module provides:
 !
 ! *   [`SliceRandom`] slice sampling and mutation
 ! *   [`IteratorRandom`] iterator sampling
 ! *   [`index::sample`] low-level API to choose multiple indices from
 !     `0..length`
 !
 ! Also see:
 !
 ! *   [`crate::distributions::WeightedIndex`] distribution which provides
 !     weighted index sampling.
 !
 ! In order to make results reproducible across 32-64 bit architectures, all
 ! `usize` indices are sampled as a `u32` where possible (also providing a
 ! small performance boost in some cases).

Files:     src/rngs/adapter/reseeding.rs
Copyright: 2013 The Rust Project Developers.
           2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! A wrapper around another PRNG that reseeds it after it
 ! generates a certain number of random bytes.

Files:     src/distributions/weighted_index.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Weighted index sampling

Files:     src/distributions/utils.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Math helper functions

Files:     src/prelude.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Convenience re-export of common members
 !
 ! Like the standard library's prelude, this module simplifies importing of
 ! common items. Unlike the standard prelude, the contents of this module must
 ! be imported manually:
 !
 ! ```
 ! use rand::prelude::*;

Files:     src/distributions/other.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! The implementations of the `Standard` distribution for other built-in types.

Files:     src/rngs/mock.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Mock random number generator

Files:     src/distributions/float.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Basic floating-point number distributions

Files:     src/rngs/small.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! A small fast RNG

Files:     src/rng.rs
Copyright: 2013-2017 The Rust Project Developers.
           2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! [`Rng`] trait

Files:     src/distributions/distribution.rs
Copyright: 2013-2017 The Rust Project Developers.
           2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Distribution trait and associates

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Files:     COPYRIGHT
Copyright: assignment is required to contribute to the Rand project.
License:   __UNKNOWN__
 For full authorship information, see the version control history.
 .
 Except as otherwise noted (below and/or in individual files), Rand is
 licensed under the Apache License, Version 2.0  or
  or the MIT license
  or , at your option.
 .
 The Rand project includes code from the Rust project
 published under these same licenses.

Files:     src/lib.rs
Copyright: 2013-2017 The Rust Project Developers.
           2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Utilities for random number generation
 !
 ! Rand provides utilities to generate random numbers, to convert them to
 ! useful types and distributions, and some randomness-related algorithms.
 !
 ! # Quick Start
 !
 ! To get you started quickly, the easiest and highest-level way to get
 ! a random value is to use [`random()`]; alternatively you can use

Files:     src/rngs/adapter/read.rs
Copyright: 2013 The Rust Project Developers.
           2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! A wrapper around any Read to treat it as an RNG.

Files:     src/distributions/uniform.rs
Copyright: 2017 The Rust Project Developers.
           2018-2020 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! A distribution uniformly sampling numbers within a given range.
 !
 ! [`Uniform`] is the standard distribution to sample uniformly from a range;

Files:     src/seq/index.rs
Copyright: 2018 Developers of the Rand project.
License:   __UNKNOWN__
 Licensed under the Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
 https://opensource.org/licenses/MIT>, at your
 option. This file may not be copied, modified, or distributed
 except according to those terms.
 .
 ! Low-level API for sampling indices

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 END OF TERMS AND CONDITIONS

#----------------------------------------------------------------------------
# License file: LICENSE-MIT
 Copyright 2018 Developers of the Rand project
 Copyright (c) 2014 The Rust Project Developers
 .
 Permission is hereby granted, free of charge, to any
 person obtaining a copy of this software and associated
 documentation files (the "Software"), to deal in the
 Software without restriction, including without
 limitation the rights to use, copy, modify, merge,
 publish, distribute, sublicense, and/or sell copies of
 the Software, and to permit persons to whom the Software
 is furnished to do so, subject to the following
 conditions:
 .
 The above copyright notice and this permission notice
 shall be included in all copies or substantial portions
 of the Software.
 .
 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
 ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
 TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
 PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
 SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
 CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
 OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
 IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
 DEALINGS IN THE SOFTWARE.