GitHub

PLEASE use the newer implemetation @ https://github.com/AndreasBriese/breeze32

Kind of historic .....

##"Drain Random from Chaos." ##Breeze - a new family of fast CB-PRNG

####Dr. Andreas Briese #####2014/11/1
#####eduToolbox@Bri-C GmbH, Sarstedt

Breeze represents a new family of deterministic random number generators aca pseudo random number generators (PRNGs) based on a combination of two or more "logistic maps" (LM) in chaotic state.

See https://github.com/AndreasBriese/breeze for breeze reference implementation in go/golang (x86 / Little-Endian).

WARNING: This code and documentation is written by a non-mathematician & is eventually drawn up in lousy english.

See breeze.pdf for a short description of the algorithm.

History

2nd revision (7/11/2014):

Breeze32 / Breeze76 removed / replaced by Breeze128/Breeze256
New Breeze128/Breeze256 structs to accept 128 bit / 256 bit seed/keys and use 6 / 12 logistic maps (LM) functions to produce 128 Byte / 256 Byte output on each roundTrip
Name-scheme changed
Seed processing reviewed / splitts uint64 bitwise in three parts: 2× 1²¹, 1×1²²
Breeze128 and Breeze256 are intended for use with up to 128bit/256bit input length i.e. with BLAKE2b, SHA2 or SHA3 Hashes; Breeze64_32 & Breeze128_72 are proof of concept schemes (see _breeze._go).

3rd revision (9/11/2014):

added Breeze512 (16 LMs) to provide length of keyspace: 512bit.
parenthesis in roundTrip() ()all functions corr; statenumbers corrected to fit the new scheme

Note: Breeze512 is not NIST tested so far, will do in the next days and will provide testresults below.(Its the same new scheme of AIX - should pass) update: Breeze512 passed 2 of three NIST checks (failed once with 94/100 on NonOverlappingTemplate) update: corrected for 1 bit shorter part of the Mantissa solved this NIST failures. (passed 12 NIST-Tests so far)

2014/11/09 20:00 Last revision ensured proper seeding input size for Breeze256/51. Make sure you have the current version running

Note 2014/11/10 Experimental CSPRNG based on Breeze128 added: BreezeCS128. (re-)Seeds from crypto/rand.

4th revision (stable) v.1.1.1:

Breeze128/CS128/256/512 have number of LMs corresponding to their inner states: 6 / 6 / 12 / 24 (3 inner states from 1 uint64 word input) (This solved a problem of defining a minimum input length)
Number of Mantissa bits used for output states allways equal or less than last 51 Mantissa bits (Little - Endian)

Important Note 2014/11/7:

Breeze had not (jet) become analysed for cryptographic security (cryptoanalysed)! So far breeze should be considered UNSAFE and it's definitely NOT recommended to use Breeze in a security sensitive or cryptographic context.

Nonetheless Breeze output is intensivly tested for deterministic, uniform distributed random characteristics and all about 40 tested sequence sets (100 seq in set, randomly seeded) of up to 8,ooo.ooo bit length generated by Breeze128(n=20)/Breeze256(n=20) passed the NIST test suite for randomness (see below).

Update 2014/11/10: First results for Breeze512 are incouraging.

###Composition:

The Breeze chaos-based pseudo random number generator CB-PRNG consists of four parts:

Preparation of seed (Init)
Initialization (seedr)
Generator core (roundTrip)
Composition of output (Byte, ByteMP, XOR, Hash)

The following documentation is intended to give an overview about the functionality of these parts - please inspect the code for more details.

1) Preparation of seed

Breeze128:

The Init() function takes a wide range of input types to processes an uint64-Array that is delivered to the Seedr() function.

int, uint8/16/32/64, int8/16/32/64 is typecasted and copied directly to seedr()
float32/64 are bitwise upshifted by 8/11 bits and feeded to seedr()
string/[]byte is processed by sipHash's (see sipHash.go) compression function returning two uint64

Breeze256/Breeze512:

The Init() function takes a string/[]byte of length 8 Byte or an []uint64 of length 1

BreezeCS128:

Autoseeds from go/golang crypto/rand XOR bytewise with time.Now().Nanosecond(). RoundTrip() will reseed from go/golang crypto/rand XOR bytewise with time.Now().Nanosecond() too.

2) Initialization

The Seedr() function takes an []uint64 and splits each field into three fragments (2 × 21, 1 × 22), that are used to calculate three startseeds running with two logmap functions. Each startseed is limited to 0..1<<23 omitting "pathological" values and type-casted to float64 before inverted (1/startseed). The number of output states roughly determines the number of startrounds within initialization.

3) Generator core

The roundTrip() function calculates the next results of the two (or more) logistic map equations. Each equation x_n = k ⋅ x_n-1 ⋅ (1 - x_n-1) has a different k with 3.56995 < k < 3.82843 and 3.82843 < k <= 4.0 to generate a chaotic state with 0 < x < 1 (see: startseed preparation). The calculation results are mirrored at 1.0 (1-state) and interchanged within the inner states of the two (ore more) map functions. They form the actual two (or more) states of the generator. Their normalized mantissa ("significand field") is the source of entropy from which four (or more) uint64 fields derive, that form the byteregister of breeze. In between a bitshift variable is used to enhance variability of the byteregister-generation and furthermore the byte registers and inner states are transposed after each roundTrip to ensure that all registers profitize directly from the generator entropy.

roundTrip() checks for pathological state == 0 and will in case automatically reseed from previous states. In BreezeCS128 CSPRNG roundTrip() will autoreseed from go/golang crypto/rand XORed bytewise with time.Now().Nanosecond() instead. (Probability for autoreseeding was about (6 LMs) 2:10^10 from emperical observations (18 in 100 within 10^9 roundTrips of 6 LMs))

4) Composition of output (Byte, ByteMP, XOR, ShortHash)

Breeze provides examplary output formats for different purposes.

the Byte(&byt) function sets the variable byt to the next byte (uint8/byte) from breeze's byte register.
the ByteMP(&byt) function acts similar as Byte() but provides a mutex.Lock/Unlock to ensure thread-/multiprocessor-safety (about 4-5 times slower).
RandIntn() returns a random uint64
RandDbl() returns a float64 (0,1] (uniform random distribution)
RandNorm() returns a float64 (0,1] (normal (gauss) distribution)
XOR(&out, &in, &key) seeds the breeze generator with the key bytes and bytes of in are xored with the generator bytes and an error.
ShortHash(&m, hashlen) returns a hash of length hashlen deriving from multiple roundsTrips and an error.

[RandDbl()](https://github.com/AndreasBriese/breezeTests/blob/master/RandDbl.png)... [RandNorm()](https://github.com/AndreasBriese/breezeTests/blob/master/RandNorm.png)... [random Bytes (RGBA Alpha=4th Byte)](https://github.com/AndreasBriese/breezeTests/blob/master/randPad.png)

Note: Byte / ByteMP do not check if breeze had been initialized! Make sure you did so, before calling!

Note: RandIntn and RandDbl are thread/multiprocessing save (mutex.locked). Must be initialized before call. This comes at the cost of about 80 times slower number generation than Byte() and about 8 times (sic! from 8 bytes) slower than ByteMP().

Note: ShortHash is NOT intended to hash files - it is foremost a internal function to init breeze's PRNG for XOR. Hashes should be collisionresistent as far as the source and the hash output lies within the keyspace length. For any input longer than keyspace sipHash's fold&compress is used: the folding function derives directly from Dmitry Chestnykhs go implementation of SipHash-2-4 ( https://github.com/dchest/siphash ) "a fast short-input PRF created by Jean-Philippe Aumasson and Daniel J. Bernstein" ( https://131002.net/siphash/ ). The actual breeze code utilizes sipHash's fold/compressor to drains 2 × uint64 out of the []byte or string provided to seed the PRNG if the seed is longer than keyspace. It must be assumed therefore that ShortHash() produces collisions with longer inputs.

Note: XOR() and ShortHash() do NOT reset the generator function automatically. Make sure this is the desired state by your programming logic or use the Reset() function before calling XOR/ShortHash.

####Breeze internals

| Breeze128 | Breeze256 | Breeze512 | BreezeCS128 | ---|---|---|---|---| keyspace | [2]uint64 128bit | [4]uint64 256bit | [8]uint64 512bit | auto-/reseed crypto/rand 128bit | no. of logistic maps (LM) | 6 LM | 12 LM | 24 LM | 6 LM | no. of internal LM states | 6 | 12 | 24 | 6 | output states | [16]uint64 | [32]uint32 | [64]uint32 | [16]uint64 | used memory (struct) | ~186 Byte | ~362 Byte | ~715 Byte | ~186 Byte | temp memory alloc | ~234 Byte | ~458 Byte | ~907 Byte | ~250 Byte |

(temp memory alloc: estimation from roundTrip() mem use; actual use might be higher)

####Tests

The testframework beside NIST statitical suite can be found her: https://github.com/AndreasBriese/breezeTests

###Install and use

Package breeze has no external dependancies.

Install using go get.

go get github.com/AndreasBriese/breeze

Import the module within the import header of your code:

package main

import "github.com/AndreasBriese/breeze"
import (
	"bytes"     // byte comparison in the XOR exmaple
	"fmt"       // printout
	"io/ioutil" // readfile in the XOR example
)

func main() {
	//
	// drain 1000 random bytes from chaos
	//

	var bmap128 breeze.Breeze128
	err := bmap128.Init("12345678")
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	resultI := make([]uint64, 1000)
	for i, _ := range resultI {
		resultI[i] = bmap128.RandIntn()
	}
	fmt.Println("RandIntn", resultI[0:20])

	var bmap256 breeze.Breeze256
	bmap256.Init([]uint64{uint64(1234), uint64(12345), uint64(123456), uint64(1234567)})
	resultF := make([]float64, 1000)
	for i, _ := range resultF {
		resultF[i] = bmap256.RandDbl()
	}
	fmt.Println("RandDbl", resultF[0:20])

	var bmap128_2 breeze.Breeze128
	bmap128_2.Init([]uint64{uint64(1<<64 - 1), uint64(1<<32 - 1)}) // []uint64 will be "folded"; effective keyspace = 64bit
	// resultF := make([]float64, 1000)
	for i, _ := range resultF {
		resultF[i] = bmap128_2.RandNorm()
	}
	fmt.Println("RandNorm", resultF[0:50])

	//
	// hash a string
	//
	wordToHash := "Alice and Bob are in love."
	var hmap256 breeze.Breeze256
	hash, err := hmap256.ShortHash(wordToHash, 32) // second parameter for length of hash in bytes
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	fmt.Printf("\nShortHash without Init() 32 Byte: %x\n", hash)
	// get the same hash result
	hmap256.Reset()                               // will reset all internal states
	hash, err = hmap256.ShortHash(wordToHash, 32) // second parameter for length of hash in bytes
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	fmt.Printf("ShortHash Reset() & without Init() 32 Byte: %x\n", hash)

	// use hash with previous initialization results in different hash
	var hhmap512 breeze.Breeze512
	err = hhmap512.Init(wordToHash) // Init() sets/changes all internal states and bitshift but without resetting !
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	hash, err = hhmap512.ShortHash(wordToHash, 32) // second parameter for length of hash in bytes
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	fmt.Printf("ShortHash with Init() 32 Byte: %x\n", hash)
	// this will give you the same hash again
	hhmap512.Reset()                // will reset all internal states
	err = hhmap512.Init(wordToHash) // Init() sets/changes all internal states and bitshift but without resetting !
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	hash, err = hhmap512.ShortHash(wordToHash, 32) // second parameter for length of hash in bytes
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	fmt.Printf("ShortHash with Reset() & Init() 32 Byte: %x\n", hash)

	err = hhmap512.Init(wordToHash) // Init() sets/changes all internal states and bitshift but without resetting !
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	hash, err = hhmap512.ShortHash(wordToHash, 32) // second parameter for length of hash in bytes
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	fmt.Printf("ShortHash Init() without Reset() will be different: %x\n", hash)

	//
	// XOR bytes from a file
	//
	in, err := ioutil.ReadFile("./tests.go")
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	out := make([]byte, len(in))
	key := []byte("xor my file")

	var lmap128 breeze.Breeze128
	err = lmap128.XOR(&out, &in, &key)
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	fmt.Println("\nencode XOR without Init(): in and out are the same:", bytes.Equal(out, in)) // false

	lmap128.Reset()
	lmap128.XOR(&out, &out, &key)
	fmt.Println("decode XOR without Init(): in and out are the same again:", bytes.Equal(out, in), "\n") // true

	// Have in mind, using Init() before XOR will result in a totally different result
	var lmap256 breeze.Breeze256
	err = lmap256.Init(wordToHash) // sets all internal states and bitshift but without resetting !
	if err != nil {
		fmt.Println(err)
		panic(1)
	}
	lmap256.XOR(&out, &in, &key)
	fmt.Println("encode XOR with Init(): in and out are the same:", bytes.Equal(out, in)) // false

	lmap256.Reset()
	lmap256.Init(wordToHash) // sets all internal states and bitshift but without resetting !
	lmap256.XOR(&out, &out, &key)
	fmt.Println("decode XOR with Init(): in and out are the same again:", bytes.Equal(out, in)) // true

	lmap256.Reset()
	lmap256.Init(wordToHash)
	lmap256.XOR(&out, &in, &key)
	fmt.Println("\nencode XOR with Init(): in and out are the same:", bytes.Equal(out, in)) // false

	lmap256.Reset()
	// lmap256.Init(wordToHash) // leaving out Init() will break the xor decoding
	lmap256.XOR(&out, &out, &key)
	fmt.Println("decode XOR without Init() will fail: in and out are the same:", bytes.Equal(out, in)) // false
}

###Speed

The primary aim of investigating into CB-PRNG was a need for a second PRNG of comparable speed beside Daniel J. Bernsteins Salsa20 in a bytewise XOR mixing scheme for steganography.

The breeze candidates Breeze128, Breeze256, Breeze512 and BreezeCS128 were compared to Go's math.random, Go's crypto/rand, complimentary-multiply-with-carry (adapted from http://de.wikipedia.org/wiki/Multiply-with-carry) and salsa20 (https://code.google.com/p/go/source/browse/salsa20/salsa20.go?repo=crypto with an additional byte draining function) regarding their speed of random byte emission (10.000-10,000.000.000 byte) and with salsa20 about XORing speed of 100MB and 1GB files using Core2Duo, Xeon, i5 and i7 powered PCs and laptops with OSX 10.6-10.9.

This is the output from an Apple MBPro 2.4 GHz i7 8GB RAM running MacOSX 10.8.5; go1.3 darwin/amd64 compiled with i686-apple-darwin11-llvm-gcc-4.2 (GCC) 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00) using 1 CPU at runtime:

Streamlength (bytes): 100000000

 Initialization timings

cmwcRand.init 23175 ns/op
salsa.init 25473 ns/op
breeze128.init 17652 ns/op
breezeCS128.init 422651 ns/op
breeze256.init 22541 ns/op
breeze512.init 38263 ns/op

Timings excl. initialisation

 round 0 

crypto/rand 66.91293224 ns/op
math/rand 33.64623132 ns/op
breeze128 5.24251114 ns/op
breezeCS128 4.94863994 ns/op
breeze256 5.19408767 ns/op
breeze512 5.21904625 ns/op
cmwcRand 7.96650826 ns/op
salsa 10.92033298 ns/op

breeze128 mutex 21.09652961 ns/op
breeze256 mutex 21.16416018 ns/op
breeze512 mutex 21.13883682 ns/op
cmwcRand mutex 23.15235098 ns/op
salsa mutex 25.36474519 ns/op

 round 1 

crypto/rand 66.37308781 ns/op
math/rand 33.74983039 ns/op
breeze128 5.30179365 ns/op
breezeCS128 4.91731842 ns/op
breeze256 5.25770132 ns/op
breeze512 5.3275761 ns/op
cmwcRand 8.07043497 ns/op
salsa 8.32984127 ns/op

breeze128 mutex 21.34504535 ns/op
breeze256 mutex 21.62477203 ns/op
breeze512 mutex 21.46773236 ns/op
cmwcRand mutex 23.47656207 ns/op
salsa mutex 25.79886328 ns/op

 round 2 

crypto/rand 66.27560318 ns/op
math/rand 33.65269396 ns/op
breeze128 5.21549991 ns/op
breezeCS128 4.85845871 ns/op
breeze256 5.20661327 ns/op
breeze512 5.21153689 ns/op
cmwcRand 7.92343511 ns/op
salsa 8.26453883 ns/op

breeze128 mutex 21.10411362 ns/op
breeze256 mutex 21.24844821 ns/op
breeze512 mutex 21.10982657 ns/op
cmwcRand mutex 23.27960155 ns/op
salsa mutex 25.33713722 ns/op

 file Xoring (1GB)

Breeze128 XOR: 2.808338704 s/GB  1000000000
in == out : false
Breeze128 XOR: 2.816419428 s/GB
in == out : true
Breeze256 XOR: 2.778572044 s/GB  1000000000
in == out : false
Breeze256 XOR: 2.783461739 s/GB
in == out : true
Breeze512 XOR: 2.864301834 s/GB  1000000000
in == out : false
Breeze512 XOR: 2.860537387 s/GB
in == out : true
salsa XOR: 4.728022675 s/GB  1000000000
in == out : false
salsa XOR: 4.717172578 s/GB 
in == out : true

 hash timings ( n = 1000 )

breeze128 hash 1824.243 ns/op
breeze256 hash 4430.815 ns/op
breeze512 hash 14234.625 ns/op
sipHash-2-4 148.467 ns/op
md5 hash 1954.732 ns/op
sha256 hash 4051.646 ns/op
sha512 hash 3243.129 ns/op

Initialization time of Breeze128/256/512 depends on the number of startrounds roundTrips() to shift through the internal byteregister once. XORing competes well with salsa20/8. Hash is slow because of much overhead - will be looked at in future.

The Breeze License

####LICENSE
Breeze is published with a MIT-TYPE LICENSE with an ADDITIONAL RESTRICTIVE CLAUSE about Breeze implementations in hardware

ADDITIONAL RESTRICTIVE CLAUSE: Any use of this software, modifications of this software or modifications or extensions of the underlying principle of the Breeze RNG implemented IN HARDWARE needs to be explicitly licensed by the copyright holder Andreas Briese (contact: abedutoolbox.de).

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.

####Note: The purpose of this modified MIT LICENSE with ADDITIONAL RESTRICTIVE CLAUSE shall allow a unrestricted use of Breeze by developers on any software platform. In case of the implementation of Breeze or it's underlying logic in RNG hardware (for example but not limited to encryption chips or PIN number generators) the producer of such hardware needs to document the proper implementation to become licensed. This takes into account that improper or wrong implementation of Breeze in hardware might decrease the quality of the the resulting random number stream.

Furthermore i'ld really appreciate to have less problems to feed my family in future :-))

###Some background information about the evolution of breeze

(Please refer to the warning in the site header!)

The logistic map (LM) seems to be a well studied phenomenom (https://en.wikipedia.org/wiki/Logistic_map for more information). The formula for the logistic map

x_n = kx_n-1-x_n-1² = kx_n-1 ⋅ (1-x_n-1)

will get (in theorie) into chaotic state at 0 < x < 1 and 3.56995 < k < 3.82843 and at 3.82843 < k <= 4.0 (https://en.wikipedia.org/wiki/Logistic_map) and (in a theoretically unfinite space of real numbers) all following results will be > 0 and < 1 and therefore conserve the chaotic state ad infinitum. It's impossible to predict the next outcome from the input value. Furthermore one can not forcast if the next outcome will be larger or smaller than the input value without actually calculating. LM behaviour in chaotic state is consequently very "randomnous".

Sounds interesting for random number generation? A number of attemps had been made to implement software PRNG based on the logistic map and such a unpredictable behaviour might also qualify for cryptographic use in particular.

Computational developements of such algorithms were referred to as "chaos based pseudo random number generators" or CB-PRNGs in literature (see below).

It turned out that mathematicians theoretical real numbers and float arithmetics in software differ radical. Computational resources are limited in practice and consequently real numbers need to become fitted to bits and bytes. Reals are usually implemented as floating point numbers defined by IEEE 754 (IEEE Standard for Floating-Point Arithmetic (IEEE 754)) (leaving beside relativly slow decimal floating point number formats) and floating point arithmentics are speeded up by proper maschine code. But these floats are not infinite and restricted to their properly rounded representation regulated by IEEE 754 to prevent under- or overflow the capacity of the given format.

The difficulties to deal with the restrictions of IEEE float format when calculating the logistic map are discussed in much detail in this publications: Shujun Li, 2008: "When Chaos Meets Computers" http://arxiv.org/abs/nlin/0405038v3 and more recent and discussing logistic map in particular: K. J. Persohn, R. J. Povinelli, 2012: Analyzing Logistic Map Pseudorandom Number Generators for Periodicity Induced by Finite Precision Floating-Point Representation http://povinelli.eece.mu.edu/publications/papers/chaos2012.pdf (Please refer to this text also to find references to important approaches to use chaotic states in PRNG until 2012).

Persohn and Povinelli conclude in the above publication: ''Real number implementations in finite precision are detrimental to the periodicity of chaotic PRNGs. Ignoring this reality makes chaos-based PRNGs deceptively appealing for random applications. (Annot.: Their presented analysis package) FPPC algorithm can comprehensively analyze the periodicity of truncated real number series generated by a recurrence relation. Using these results one can make informed decisions about the appropriate use of a chaotic PRNG with respect to its conventional counterparts. The results revealed about the logistic map do not appear competitive with conventional PRNGs.''

Seems like computational representation of chaos-based models in general and logistic map (LM) for PRNGS in particular are dead - so what?

They are'nt dead anyway:

See below for a list of actual approaches to improve chaos based PRNG (CB-PRNG) period length is mixing CB-RNGs with multiple recursive generators (MRGs) to enhance period length and avoid the predictability of MRG output for use in cryptography:

S. Shagufa and K. Geetha, 2013: "Period Extension and Randomness Enhancement Using High-Throughput Reseeding-Mixing PRNG" http://www.urpjournals.com/tocjnls/2_13v3i3_2.pdf ;

M. K. Kumar, S. A. Hussain and S. F. Basha, 2013: "A New Design for High Throughput Linear PRNG" http://www.ijareeie.com/upload/2013/december/27_ANewDesign.pdf;

S. D. Babu and P. M. Kumar, 2013: "Design of a New Cryptography Algorithm using Reseeding-Mixing Pseudo Random Number Generator" http://www.ijitee.org/attachments/File/v2i5/E0631032413.pdf

S. Tazyeen, G.S. Biradar, M. Patil, 2014: "DESIGN OF A NEW CRYPTOGRAPHIC ALGORITHM USING HIGH- THROUGHPUT RM-PRNG" http://www.ijtre.com/manuscript/2014011017.pdf

Okay, but logistic maps (LM) alone won't do it.

Really?

No, let's take a closer look. What are the central arguments against their use in computation of random numbers?

LM produce short periods (resulting from float rounding)
There are 'pathological seeds' in LM that lead to fixed output

Let's take an example:

Logistic map with k = 4; 0 < x < 1 ==> x_n = 4x_n-1⋅(1 - x_n-1) [1]

a.) Deadlocks are x = 1/4 and x = 3/4 leading to output: 0.75 .. 0.75 .. 0.75 ..

set x_n-1 = 1/4 : results in 4 ⋅ 1/4 ⋅ (1 - 1/4) = 1 ⋅ 3/4 = 3/4 = 0.75

set x_n-1 = 3/4 : results in 4 ⋅ 3/4 ⋅ (1 - 3/4) = 3 ⋅ 1/4 = 3/4 = 0.75

b.) Additionally a deadlock with x = 1/2 output is: 1.0 .. 0 .. 0 .. 0 ..

set x_n-1 = 1/2 : results in 4 ⋅ 1/2 ⋅ (1 - 1/2) = 2 ⋅ 1/2 = 2/2 = 1.0 .. => 4 ⋅ 1 ⋅ (1 - 1) = 0

c.) If x becomes very small, the float rounding might result in x = 0 which blocks the map function;

d.) Empirically long sequences of rounded numbers show up with lim 1 or lim 0; if using the CB-PRNG as bit-emitter based on up-down or smaller/larger 0.5 this will result in disturbance of the random sequence by high repetition counts of 0000.. or 1111...

a.), b.) and c.) can be mastered by reseeding the map conditionally, but fighting d.) brings up a tautology: Since the map is in chaotic state, no prior indicator is given (as far as i know) before entering one of the above deadlocks or "limited chaotic" states caused by floating point arithmetics.

Solution for c.)

(S1) Reseed the map if a map results in zero

... it took me some weeks to stare at floating point number sequences, reading and puzzling ...

This is my solution for d.):

Implement another "permanent reseeding" of the logistic maps resulting in:

x_n = k⋅(1 - x_n-1) ⋅(1 - (1 - x_n-1))

(S2) After each calculation reseed the map with 1-x ("mirror x at 1")

This approach would break the map in theoretical math, but if done in the computational universe of IEEE 754 floats each substraction step may or may not cause "cancelation" of LSB and provoce rounding errors --> the computed map remains in chaotic state.

Here i present a new mathematical 'dilemma' for IEEE 754 float arithmetics :-)

'IEEE 754 dilemma' for float numbers d with 0 < d < 1: mostly x != 1 - (1 - x) 
but if and only if x can be represented exactly by 1/2 + 1/2^2+ .. + 1/2^len(mantissa) 
then x == 1 - (1 - x)

... some more staring at floating point number sequences, reading and puzzling ...

Another example:

Logistic map with k = 3.9; 0 < x < 1 ==> x_n = 3.9⋅x_n-1 ⋅(1 - x_n-1) [2]

a.) Yes, we have deadlocks but NOT x = 1/4 and x = 3/4 as in [1]

set x_n-1 = 1/4 : results in 39/10 ⋅ 1/4 ⋅ (1 - 1/4) = 39/40 ⋅ 3/4 = 117/1600 != 0.75

set x_n-1 = 3/4 : results in 39/10 ⋅ 3/4 ⋅ (1 - 3/4) = 117/10 ⋅ 1/4 = 117/40 != 0.75

b.) No deadlock at x = 1/2 -> output is NOT : 1.0 .. 0 .. 0 .. 0 .. as in [1]

set x_n-1 = 1/2 : results in 39/10 ⋅ 1/2 ⋅ (1 - 1/2) = 39/10 ⋅ 1/2 = 39/20 != 1.0

c.) If x becomes very small, the float rounding might result in x = 0 ; solved by (S1)

d.) Long sequences of rounded numbers with lim 1 or lim 0 ... ; solved by (S2)

... ding-dong ...

And this is the solution for a.), b.):

(S3) Combine two (or more) logistic map functions with different k-values 
by "reseeding" them from each other

###Expand the mining capacity of the logistic map (LM)

Some approaches use LM by emitting one bit from each calculation result. This can be done by evaluating the difference to the preceeding result (higher/lower) or by evaluating x >= 0.5 (limis logmap results/length). Persohn and Povinelli (2012) resumed, CB-PRNG proved to be ineffective and slow compared to classical LCG - i guess, that is an appropriate resumee if looking at the above mentioned bit generation scheme.

But IEEE 754 double floating point values >0 and <1 can store more than one bit of entropy from chaos. Breeze uses 28 to 51 bits of the normalized mantissa (“significand field”) of each logistic map output. Since this is smaller than uint64's capacity two (or more) map states are combined to compute output states using an ARX algorithm.

If i did not misunderstood the concept of entropy, this means Breeze is based on min. entropy of number-of-LM × 2²⁸ up to max. number-of-LM × 2⁵⁰ depending on roundTrips the internal state of bitshift.

Breeze(CS)128 / Breeze256 / Breeze 512 emit 16 / 32 / 64 uint64 (128 / 256 / 512 Bytes) deriving from each roundTrip results by permutative shifting and xoring (expanding) the last outputs from the logistic map functions.

###Preliminary assumptions regarding cryptographic qualities of Breeze

Important Note 2014/11/1:

Breeze had not (jet) become analysed for cryptographic security (cryptoanalysed) by the community! (I would very much appriciate, if you, the reader, would like to do some analysis)

So far breeze should be considered UNSAFE and it's definitely NOT recommended to use Breeze in a security sensitive or cryptographic context!

####- - -

The following aspects are discussed here now (will be extended):

Random properties of output
Input/Seed-recovery from output stream
Guessing the next output from previous output
Input/Seed-recovery with insights into all internal states
Calculate the next output with insights into all internal states

1.) Random properties of output

Breeze is designed to emit an stream with uniform random characteristics, that is indistinguishable from a uniform random function output. Following tests had been performed in the last weeks:

Tests for randomness of the implementation of the logistic maps:

Since Breeze LMs are deterministic regarding their seed value(s) the results (state) of each LM were recorded continously and checked for repetitions. This was performed with about 5000 sequences of up to 1,000,000.000 byte length (see breezetest.go for the test implementation).

Tests for proper implementation of the output module(s):

The same was done for the output []uint64 and these were moreover checked for combination repetitions.

Additional tests of the emitted bytes:

Breeze emitted bytes were sorted into 256 baskets and the frequencies of values lower/higher than 128 were calculated (see breezetest.go for the test implementation).

NIST Test suite (v. sts-2.1.2 including changes of July 9, 2014)

About 40 tested sequence sets (100 seq in set, randomly seeded) of up to 8,ooo.ooo bit length generated by Breeze128(n=20)/Breeze256(n=20) passed the NIST test suite for randomness (see below). Some sequences up to 1^10 byte were feeded into NIST statistical analysis, but the tests took hrs to days and therefore testing longer sequences with adequat setsize obviously overflows my computational capacities. (Feel free to contribute by testing :-)

2.) Input/Seed-recovery from an output stream

Breeze is a deterministic RNG. That means, that any call of Breeze with the same seed (deriving from input) shall & will produce exactly the same sequence of random bytes. With inits within the keyspace (see below) no collisions occur. And because these are deriving (deterministic) from the inner states of the LMs also the states at the x'th roundTrip should be exactly the same, if the same seed at call is used.

The important question from a cryptoanalytic view would be, if given an attacker has (a) a part or (b) even the whole sequence of output he could guess the (A) inner state or (B) the input or seed at initialization can be assessed by any means easier than brute force attack (100% of the keyspace).

The seed of the actually implemented Breeze128 is up to 128bit; Breeze256 uses up to 256bit and Breeze512 seeds from 512bit. This scheme can easily be extended.

BreezeCS128 seeds from 128bit urandom provided by go/golang crypt/random XORed with time.Now().Nanosecond() see csrand.go for details. If one of the states rounded to Zero, BreezeCS128 reseeds again from urandom.

That said, even if you can provide many types of even longer keys to breeze, Breeze128's internal keyspace is effectivly 128 bit and Breeze256 has a keyspace of 256 bit; Breeze512's keyspace is 512bit. Bruteforce would need at minimum 2¹²⁸ / 2²⁵⁶ / 2 ⁵¹² different calls of Breeze128 / Breeze256 / Breeze512 to recover an input/key from output, given the attacker has the full output and no additional (pre- or re-)seeding using the Init() function was done.

Best practice for stream cipher use is twofold (i.e. Breeze128):

seed breeze with a key within keyspace (i.e. Breeze128 []uint64{uint64, uint64}),
XOR(in, out, key) with a key string | []byte of arbitrary length (best:==16 Bytes for low collision) or []uint64{uint64, uint64}

State-recovery from output means to guess all internal LM states from the output bytes. This should be a 'hard problem' because the output bytes derive from three or more mixed internal states mantissa fragments (steared by the internal variable bitshift [0..23] and always less than 52 bits to ensure information loss from internal states within the process) that are combined by an ARX algorithm and xored with their previous states. Furthermore with each rountTrip the inner states and output states are alternated (state[0]<-state[1]; state[1]<-state[2] ... state[last]<-state[0]).

BreezeCS128 follows the same logic as Breeze128 but uses Go/golangs interface to urandom (crypto/rand) XORed with time.Now().Nanosecond() for seeding as a CSPRNG instead. Auto-reseeding within roundTrip() uses the same approach (see module csrand.go).

3.) Guessing next output from previous

Taking into account the chaotic nature of logistic maps and the existings proves about breeze's uniform random output it should be a 'hard problem' to predict future output from breeze with a higher propability than 1:127 for each future byte. (Annot.: I would really like to have somebody else looking at this estimate; did i interprete the birthday paradox properly?)

4.) Input/Seed-recovery with insights into all internal states

Even if an attacker knows

all LMs k-values,
all actual LMs internal states,
the actual assignment of internal states to LMs (S3),
internal bitshift-value (∼ 1/3 number of roundTrips mod 23; -> output composition).

Then the attacker will reach the point, that he cannot reverse calculate the preceeding state because of (S2) and the above 'IEEE 754 dilemma':

'IEEE 754 dilemma' for float numbers d with 0 < d < 1: mostly x != 1 - (1 - x) 
but if and only if x can be represented exactly by 1/2 + 1/2^2+ .. + 1/2^len(mantissa) 
then x == 1 - (1 - x)

(S2) results in a "hard to recover" information loss each time of roundTrip. In this distinct the breeze algorithm is likely to be an "one-way function".

5.) Calculate the next output with insights into all internal states

If an attacker got all the above mentioned internal information he will be able to compute all future output.

This is not the case for BreezeCS128 that ocassionally autoreseeds from urandom (crypto/rand). Here an attacker would be able to calculate outputs until next autoreseeding is started because of a internal state was rounded to Zero (from observation once about 10^10 roundTrips).

NIST sts-2.1.2 Breeze128

100 samples with 8,000.000 bits (10**6 bytes) 

------------------------------------------------------------------------------
RESULTS FOR THE UNIFORMITY OF P-VALUES AND THE PROPORTION OF PASSING SEQUENCES
------------------------------------------------------------------------------
   generator is <../128N_1823668462.bin>
------------------------------------------------------------------------------
 C1  C2  C3  C4  C5  C6  C7  C8  C9 C10  P-VALUE  PROPORTION  STATISTICAL TEST
------------------------------------------------------------------------------
  9   8  14   9  14  10   7  15   7   7  0.437274    100/100     Frequency
  9  10  13  12   8   7  12  10   8  11  0.935716     98/100     BlockFrequency
  7   5   9   9  19  13   8  11   7  12  0.108791    100/100     CumulativeSums
  9  10  12   7  13   1  16  17   8   7  0.016717    100/100     CumulativeSums
 14   9   7   5  14  15  10   8  13   5  0.162606     99/100     Runs
 12   8  12  11  13   8  12  11   6   7  0.779188    100/100     LongestRun
 13  10   5  14   6  10  13  13  10   6  0.350485     99/100     Rank
 11   8  12  12   5   8  11  12   9  12  0.816537     98/100     FFT
  9  11  12  14   9  13   9   2  11  10  0.366918     97/100     NonOverlappingTemplate
 13   6  10  10   9  10   7   9  12  14  0.779188     96/100     NonOverlappingTemplate
  7  10  10   4  12  12  11  14  12   8  0.554420     98/100     NonOverlappingTemplate
  8   7  10   9  11  17   7  13   8  10  0.474986    100/100     NonOverlappingTemplate
  9  11  15  10   6   7  12  10   9  11  0.759756     99/100     NonOverlappingTemplate
  4   7  14  11  11  11   7  10  12  13  0.474986    100/100     NonOverlappingTemplate
 12   7  10  13  10   9   9  13   8   9  0.924076    100/100     NonOverlappingTemplate
  9  15  13   4  11   9  11   7  12   9  0.455937    100/100     NonOverlappingTemplate
 11  12  10  14   7  10   8  11   8   9  0.911413     99/100     NonOverlappingTemplate
  9  12  14   8   9   6   9  13   9  11  0.798139    100/100     NonOverlappingTemplate
 17   8  16   9  10   6   6  11  11   6  0.122325     99/100     NonOverlappingTemplate
 12  10   5  12  11  17   6  11   5  11  0.181557     99/100     NonOverlappingTemplate
 10  13   7   7  10  11  15   7   9  11  0.699313    100/100     NonOverlappingTemplate
  8  12   8   7   8  13  13  10  12   9  0.851383     98/100     NonOverlappingTemplate
  7  14   8  13  14   9   9  10   8   8  0.699313    100/100     NonOverlappingTemplate
 10  10  11  13   8  12   9  13   5   9  0.798139     98/100     NonOverlappingTemplate
  8  13   8  12   6  11  11  13   9   9  0.834308     98/100     NonOverlappingTemplate
  6   7   8  14   9  11  16  15   4  10  0.108791     99/100     NonOverlappingTemplate
  9   7   6   6  13  12  10   9  13  15  0.437274     99/100     NonOverlappingTemplate
  6  15  10  11  13  11   5   8  12   9  0.474986    100/100     NonOverlappingTemplate
 13   6  14  12  10  14   8   4   9  10  0.334538     99/100     NonOverlappingTemplate
 11   9  18  11   5   9  15  12   5   5  0.045675     96/100     NonOverlappingTemplate
 14  11   6  13  10  10  10   7  11   8  0.779188    100/100     NonOverlappingTemplate
 10   9   6  10  15  15  10   9   7   9  0.554420     98/100     NonOverlappingTemplate
 10  10  15  11  11   5   7  12  11   8  0.637119     99/100     NonOverlappingTemplate
  7  15  12   8   9   7   9   4  14  15  0.162606     99/100     NonOverlappingTemplate
 13   8   5   9  14   9  13   8  13   8  0.514124     99/100     NonOverlappingTemplate
 10  10  10   3  16  12   6  13  13   7  0.153763     99/100     NonOverlappingTemplate
  7   7  10  11   9  14  10  10  10  12  0.911413     99/100     NonOverlappingTemplate
  8   8  16   9   7   8  12   9  11  12  0.657933    100/100     NonOverlappingTemplate
 10   7   9  11   8  15   8  10  11  11  0.867692     98/100     NonOverlappingTemplate
  7  11  11  10   6  14  10  12   9  10  0.851383    100/100     NonOverlappingTemplate
  8  15  11  10  11   6  16  11   5   7  0.224821    100/100     NonOverlappingTemplate
  8   9  10   8   5  10  17  13   8  12  0.350485    100/100     NonOverlappingTemplate
 14   9  11  11   4   7  12  11  14   7  0.401199     98/100     NonOverlappingTemplate
 12   4   9   9  12  11  13   5  13  12  0.401199    100/100     NonOverlappingTemplate
  6  10   7   9  14   8  20  10   7   9  0.075719    100/100     NonOverlappingTemplate
  8  13  10  12  11   7  12  13   7   7  0.759756    100/100     NonOverlappingTemplate
 12  10  14   5  12  12  10  11   8   6  0.595549     99/100     NonOverlappingTemplate
 12  10  13   4   7  10  13  16   7   8  0.236810    100/100     NonOverlappingTemplate
 14  18  11   6   9  11   7   8   3  13  0.048716     97/100     NonOverlappingTemplate
 10   9   9  12   9  11   9  12  10   9  0.997823     98/100     NonOverlappingTemplate
 12  12  11  15   7  10  12   5   9   7  0.514124     98/100     NonOverlappingTemplate
  9  14  18  12  10   5   8  10   8   6  0.145326    100/100     NonOverlappingTemplate
 16  12   8  10  11  11   8  12   6   6  0.474986     99/100     NonOverlappingTemplate
 12  13   8   9  10  16  11   8   5   8  0.455937    100/100     NonOverlappingTemplate
  6  12  13   7   7  12   8   9  12  14  0.574903     99/100     NonOverlappingTemplate
 13  11   8   7   7  12   8  12  13   9  0.798139     97/100     NonOverlappingTemplate
 13  14   5   6  11  11  10   9  10  11  0.637119     98/100     NonOverlappingTemplate
 10  14   7  15  12   7   8   8   6  13  0.383827     97/100     NonOverlappingTemplate
  7  11  11  15   5   7   6  15  13  10  0.213309    100/100     NonOverlappingTemplate
  8  11   5  11  10  11  11  13   9  11  0.883171     98/100     NonOverlappingTemplate
  9   7  14  11  13   6   3  16  12   9  0.115387     98/100     NonOverlappingTemplate
 12  10   4   7  18  10   6   8   7  18  0.014550     98/100     NonOverlappingTemplate
 14   6   7  18  13  12   9   8   4   9  0.066882     99/100     NonOverlappingTemplate
  6   9  11  11  11  14   8  15  10   5  0.437274    100/100     NonOverlappingTemplate
  9  10  15   8   7   8  14  11   9   9  0.719747     99/100     NonOverlappingTemplate
  8  15  12  12   5   9   7  12  10  10  0.574903     99/100     NonOverlappingTemplate
 11   7  14   7   9  13   7  14  10   8  0.595549     98/100     NonOverlappingTemplate
 10  16   8  11   8  10   9   9  11   8  0.816537     99/100     NonOverlappingTemplate
 12   7  12   9  10   6  10   9  11  14  0.816537    100/100     NonOverlappingTemplate
  9   8   6  13   9   9   9  15   6  16  0.275709    100/100     NonOverlappingTemplate
 11  11   8  10  12   4   8  17   7  12  0.262249     99/100     NonOverlappingTemplate
 15  11  10   7   7  13  14  12   7   4  0.224821     99/100     NonOverlappingTemplate
 13  10   6   7  11  12  10   7  12  12  0.779188    100/100     NonOverlappingTemplate
 17  10   7   7  10  12  10  13   7   7  0.366918     99/100     NonOverlappingTemplate
 18   9   7   7  10   8  13  13   8   7  0.224821     98/100     NonOverlappingTemplate
 16   9   9  10  10   9   6  12   6  13  0.494392     97/100     NonOverlappingTemplate
  8   5  10  11  12  14  13   8  12   7  0.574903    100/100     NonOverlappingTemplate
 11  14   6  13  12   2  11   9   9  13  0.202268     99/100     NonOverlappingTemplate
 12  12   6  10   9  17   9  12   5   8  0.289667    100/100     NonOverlappingTemplate
 11   5   6  10   8  13   8  14  12  13  0.455937    100/100     NonOverlappingTemplate
  9   9  10   8  11   9  14  10  14   6  0.779188     97/100     NonOverlappingTemplate
  9  15  12   9  12   8  10   8   8   9  0.851383     98/100     NonOverlappingTemplate
  9  11  12  14   9  13   9   2  11  10  0.366918     97/100     NonOverlappingTemplate
 11  14  12   6  16   9   8  13   4   7  0.153763     98/100     NonOverlappingTemplate
  9  10  12   6  10  16  12  12   4   9  0.334538    100/100     NonOverlappingTemplate
  7  10   9   7  13  12   7  12  13  10  0.798139    100/100     NonOverlappingTemplate
 13   7  10  10  14  10  10   6  10  10  0.834308     99/100     NonOverlappingTemplate
  6   3  12  12  16  11   5   6  13  16  0.020548     96/100     NonOverlappingTemplate
  8  10  10   4  12  12  13  12   8  11  0.678686    100/100     NonOverlappingTemplate
  8   8  11  11   8  11   7  11  12  13  0.924076     98/100     NonOverlappingTemplate
  7   8  11  15  15  13   5   6   8  12  0.202268     99/100     NonOverlappingTemplate
 10   9  11   9   9   9  12  11  10  10  0.999438     99/100     NonOverlappingTemplate
  9  14  12  13   9  10  10   6   9   8  0.816537     98/100     NonOverlappingTemplate
 11   9  12   7  10  10   8   9  16   8  0.739918     99/100     NonOverlappingTemplate
  6   9  13   7  13  11   7  10  15   9  0.534146    100/100     NonOverlappingTemplate
 10  10  13   6  15   5  13  12   9   7  0.366918     99/100     NonOverlappingTemplate
 10  14   6   6  11  10  12  15  12   4  0.224821     97/100     NonOverlappingTemplate
  6   7   7   7  13  14  15   6  11  14  0.181557    100/100     NonOverlappingTemplate
 11  10   9  11   8   7  11  13   7  13  0.883171     99/100     NonOverlappingTemplate
  9  11  11  10   8  13  11   5  13   9  0.816537    100/100     NonOverlappingTemplate
  8  10  12  11   7  12  14   6   8  12  0.719747    100/100     NonOverlappingTemplate
 13  10  11  12  10  10   6  13   6   9  0.779188     99/100     NonOverlappingTemplate
  8   5  11   6  10  13  12  12  13  10  0.616305    100/100     NonOverlappingTemplate
  9   4   6   5  12   7  14  18  12  13  0.030806    100/100     NonOverlappingTemplate
 11   9  14   6   6   9   9  11  10  15  0.554420    100/100     NonOverlappingTemplate
 13  11  12   3  13   9  15  11   4   9  0.137282    100/100     NonOverlappingTemplate
  7   6   9  14  10  16   9  12  10   7  0.419021    100/100     NonOverlappingTemplate
  9   9  11   8  12   7  17   8   5  14  0.249284     99/100     NonOverlappingTemplate
  6  14  11   6   9   8  14   9  10  13  0.534146     99/100     NonOverlappingTemplate
 12  12  13  13   6   9  10   8   9   8  0.816537     97/100     NonOverlappingTemplate
 13  14  11  14   7   5  10  12   6   8  0.350485     98/100     NonOverlappingTemplate
 11   8   7  14   8  11   5   7  16  13  0.249284    100/100     NonOverlappingTemplate
 16   9  10  11   6  10   9  13   8   8  0.616305    100/100     NonOverlappingTemplate
 11   9   7  10   6   8  16  11  12  10  0.616305    100/100     NonOverlappingTemplate
  6   8   6  12   9  14  14  13  10   8  0.474986    100/100     NonOverlappingTemplate
 13  11   5  14  10   6  14   7  10  10  0.419021     98/100     NonOverlappingTemplate
 10   8  10   9   7   8  13  11  15   9  0.798139    100/100     NonOverlappingTemplate
  8  12  15   6  14  12  10  13   5   5  0.171867    100/100     NonOverlappingTemplate
  8   8  12  10  11   7  13  12   8  11  0.911413    100/100     NonOverlappingTemplate
  8  11  11  16  14   9   7   7   8   9  0.514124    100/100     NonOverlappingTemplate
 10  11  12   7  14   9  12  12   8   5  0.657933     98/100     NonOverlappingTemplate
 10   5   8  11   8   9  13  14  13   9  0.637119     99/100     NonOverlappingTemplate
 11  11   8  11  13  10  14   6   8   8  0.779188     99/100     NonOverlappingTemplate
  2  10  14  11   8  11  12  10  13   9  0.350485    100/100     NonOverlappingTemplate
 13   8  16   9   8  15  11   5   4  11  0.115387     98/100     NonOverlappingTemplate
 10   5  12   8  21   6   9  12  15   2  0.001757     99/100     NonOverlappingTemplate
 13  13  15   5   9  11   9   9   7   9  0.514124     98/100     NonOverlappingTemplate
  9  12  10   8   7   9  14  12  12   7  0.816537    100/100     NonOverlappingTemplate
  7  12  10   7   8  12   9  10  13  12  0.883171    100/100     NonOverlappingTemplate
  7   8  15  11  10   8   8  14   8  11  0.657933     99/100     NonOverlappingTemplate
 12   9  10   6  14   9   8  11  13   8  0.779188     98/100     NonOverlappingTemplate
  7  11   8   9   8   5  13  13  12  14  0.514124     98/100     NonOverlappingTemplate
 12   7  14  10   6  13   9  11  10   8  0.739918     99/100     NonOverlappingTemplate
  9   6   9   8   7   7  13  17  11  13  0.289667     98/100     NonOverlappingTemplate
  3  11  10  13  13  11   8  12  13   6  0.334538     99/100     NonOverlappingTemplate
  9   9  12  12  12  11   5  11  11   8  0.867692    100/100     NonOverlappingTemplate
 16  10   5  11   8  10  14   6  11   9  0.350485    100/100     NonOverlappingTemplate
  6   8   8  11  12   7  11   5  18  14  0.108791     99/100     NonOverlappingTemplate
  7  18   5   9  10  19   9  13   6   4  0.003996    100/100     NonOverlappingTemplate
 15  11  14  12  17   6   3   8   6   8  0.030806     99/100     NonOverlappingTemplate
 13  11  11  12  10  10   6  12   5  10  0.739918     99/100     NonOverlappingTemplate
  9   8  13  11  16  13   8  10   7   5  0.366918    100/100     NonOverlappingTemplate
 12  10  13   8  10  12   8   7   6  14  0.678686     98/100     NonOverlappingTemplate
  8   8   7   5   7  10  14  14   9  18  0.096578     98/100     NonOverlappingTemplate
  8   8  11   9  14   8   8  12  14   8  0.759756    100/100     NonOverlappingTemplate
 11   7  12   6  13   6  12  12  12   9  0.657933     98/100     NonOverlappingTemplate
  7   8   7   8  17  15   6   5  11  16  0.037566     99/100     NonOverlappingTemplate
  8  16   6   7  11   9  13  14  10   6  0.289667    100/100     NonOverlappingTemplate
 10  13  15  11   7   8   9   9   8  10  0.798139     98/100     NonOverlappingTemplate
  9  11  12  11  15   9  10   5   9   9  0.739918     99/100     NonOverlappingTemplate
 17  10   5   8   7   8  10  18   8   9  0.066882     99/100     NonOverlappingTemplate
  5  10  13   8  12  10  12   5  14  11  0.455937    100/100     NonOverlappingTemplate
  9  15   8  11  15  10   8  10   6   8  0.534146     99/100     NonOverlappingTemplate
 11  14  11   9   9   7   9   6  14  10  0.719747    100/100     NonOverlappingTemplate
 12   9   7   7  11  10  15   9   9  11  0.816537     99/100     NonOverlappingTemplate
  9  15  12   9  12   8  10   8   8   9  0.851383     98/100     NonOverlappingTemplate
 15  14   9  10   7  11  11   5   9   9  0.534146     99/100     OverlappingTemplate
 10  11  12   5   9  11  11  11   9  11  0.935716     99/100     Universal
 12  10  10  10   8   9  12   3  11  15  0.455937     99/100     ApproximateEntropy
  9   4  12  10   8  13   7  11   6   7  0.381687     84/87      RandomExcursions
  8  10   5  13   8   8   8   7  12   8  0.650132     87/87      RandomExcursions
 12   6   6  10  11  11   6   9   7   9  0.676097     86/87      RandomExcursions
  5  10  12  12  10   5   8   9   7   9  0.572333     87/87      RandomExcursions
  5  14   9   6  11   5   6  11   8  12  0.206354     87/87      RandomExcursions
 10  12   9   3   7   5  14  12  11   4  0.054923     86/87      RandomExcursions
  8   7   7   9  11  10   7   8  14   6  0.624107     87/87      RandomExcursions
 11   7   5   4  11  13   8   7  15   6  0.081137     87/87      RandomExcursions
  8   9  10   8   8  12  10   8   5   9  0.885045     87/87      RandomExcursionsVariant
  8   8  12   7  10  10   5   9  10   8  0.845066     87/87      RandomExcursionsVariant
  9  10   7  13   6   9   8  10   5  10  0.676097     87/87      RandomExcursionsVariant
 10  10  11   9  12  11   6   5   8   5  0.521600     86/87      RandomExcursionsVariant
 10   9   7  13  11  12   6   7   5   7  0.448892     86/87      RandomExcursionsVariant
  8   9   9  14  12  10  11   4   5   5  0.180322     85/87      RandomExcursionsVariant
  7  14  11  10   9   9   7   5  11   4  0.284375     84/87      RandomExcursionsVariant
 11   7   7  11   7  10   8   8   4  14  0.381687     84/87      RandomExcursionsVariant
  7   8  12   7   8   8  11   5   9  12  0.676097     86/87      RandomExcursionsVariant
  6  11  10  14   6   8   5  12   7   8  0.320988     85/87      RandomExcursionsVariant
 12   9   7   6  13  10   7   7   6  10  0.572333     87/87      RandomExcursionsVariant
 11   8   5  10  11   8   6   9  10   9  0.823278     86/87      RandomExcursionsVariant
  8   7   9   8  13   9   7  11   5  10  0.701879     87/87      RandomExcursionsVariant
 12   3  11  15   8  11   6   7   8   6  0.101765     86/87      RandomExcursionsVariant
 11   7  13  11  10   6   8   6   5  10  0.472584     85/87      RandomExcursionsVariant
 14  11   9   4  12   9   7   6   4  11  0.136304     84/87      RandomExcursionsVariant
 12  20   4   7   8   5  11  10   5   5  0.001334     86/87      RandomExcursionsVariant
 11  18  10   7   7   4   8   9   6   7  0.046794     85/87      RandomExcursionsVariant
 14   6  15  16   4  10  12  10   6   7  0.071177     99/100     Serial
 11  14  11   8   7  11   6  12  10  10  0.816537    100/100     Serial
  9   9  11   6   9  13  11   8  17   7  0.419021     97/100     LinearComplexity


- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The minimum pass rate for each statistical test with the exception of the
random excursion (variant) test is approximately = 96 for a
sample size = 100 binary sequences.

The minimum pass rate for the random excursion (variant) test
is approximately = 83 for a sample size = 87 binary sequences.

For further guidelines construct a probability table using the MAPLE program
provided in the addendum section of the documentation.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

------------------------------------------------------------------------------
RESULTS FOR THE UNIFORMITY OF P-VALUES AND THE PROPORTION OF PASSING SEQUENCES
------------------------------------------------------------------------------
   generator is <../128N_2142215326.bin>
------------------------------------------------------------------------------
 C1  C2  C3  C4  C5  C6  C7  C8  C9 C10  P-VALUE  PROPORTION  STATISTICAL TEST
------------------------------------------------------------------------------
 11  10  12   8  11  10  14   9   6   9  0.883171    100/100     Frequency
 10   8   8  14  11   8  11   9  11  10  0.955835     97/100     BlockFrequency
 10  12  10  10  10  10  12  11   9   6  0.978072    100/100     CumulativeSums
 11  11   8  11  10   9  12   9   7  12  0.978072     99/100     CumulativeSums
  8   8   6   5  16  10  17  14   7   9  0.066882     99/100     Runs
 16   7  11   7  12   6   9  11   9  12  0.514124     99/100     LongestRun
  9  13   5  10   6   9   9  17  12  10  0.304126     99/100     Rank
 11   9  14  10   7  12   9   7  12   9  0.867692    100/100     FFT
 17  11   0   8  10  12   8  11  10  13  0.045675     99/100     NonOverlappingTemplate
  9   9   7  16  11  12   8   9   9  10  0.759756    100/100     NonOverlappingTemplate
 13   5  11   9  12  10   8  10  12  10  0.851383    100/100     NonOverlappingTemplate
  3   9  12  10  13   9   6  10  15  13  0.249284    100/100     NonOverlappingTemplate
 11   8   9  12  14   9  11  10   5  11  0.798139     99/100     NonOverlappingTemplate
  7   8  11  14  10   6  12  12  13   7  0.616305    100/100     NonOverlappingTemplate
  8  12  11  11  15  10  14   6   7   6  0.419021    100/100     NonOverlappingTemplate
  5  13  12  10  13  10   6   7   7  17  0.162606    100/100     NonOverlappingTemplate
 10  12  11   7   7  14   8   6  12  13  0.616305    100/100     NonOverlappingTemplate
 12  12   8  11   5   9   8  12  15   8  0.574903     99/100     NonOverlappingTemplate
 10   8  11  14   9   3   8  11  13  13  0.401199    100/100     NonOverlappingTemplate
  9  11  10  11   9  11   7   8  11  13  0.971699    100/100     NonOverlappingTemplate
  9  12  10  13   7  10   9   7  14   9  0.834308    100/100     NonOverlappingTemplate
 13  11   7  14   3  10  11  17   8   6  0.080519     97/100     NonOverlappingTemplate
  9  11  16   7  10   7  14   6  13   7  0.304126    100/100     NonOverlappingTemplate
 10   7   8   9   7  10  12  12  12  13  0.883171    100/100     NonOverlappingTemplate
 10  12  10  11   6   9  10  10  11  11  0.983453    100/100     NonOverlappingTemplate
 16   5  14   7  11   8  13   8   8  10  0.289667     98/100     NonOverlappingTemplate
 10   6   9  13  13  10   6  13   9  11  0.719747     99/100     NonOverlappingTemplate
  9  13   6  13   7   9  19   8  10   6  0.102526     99/100     NonOverlappingTemplate
 13  11   9   8  13   8   8  11  11   8  0.924076     97/100     NonOverlappingTemplate
 14   7  12   9  11   5  12  12   7  11  0.595549     96/100     NonOverlappingTemplate
 12  16   9   6   9   8  11  12   8   9  0.616305     99/100     NonOverlappingTemplate
 12  10   6  12  12   8  14  12   7   7  0.637119     99/100     NonOverlappingTemplate
 10   6   9  12   6   8  13  10  13  13  0.657933     99/100     NonOverlappingTemplate
 11   7  10  11   9   9  12   8  10  13  0.964295     98/100     NonOverlappingTemplate
  9  13  10  11  13   7  14   6  10   7  0.637119     99/100     NonOverlappingTemplate
  8  14   8  10  13   9  11  12   8   7  0.816537     99/100     NonOverlappingTemplate
  9  12  10   7  15  12   8   8   9  10  0.816537     98/100     NonOverlappingTemplate
 11  10   7   3  14   8  10  14  11  12  0.350485     99/100     NonOverlappingTemplate
 13   9  12   9   9  12   9  13   4  10  0.678686     99/100     NonOverlappingTemplate
  8  15  10  10  12   9  12   7   8   9  0.816537     98/100     NonOverlappingTemplate
  9  14  10  10  10   9  10   8  10  10  0.987896     99/100     NonOverlappingTemplate
  7  12  11  11   9   9  10  12  11   8  0.978072    100/100     NonOverlappingTemplate
 10  12   9  11   7  10  10  11   6  14  0.851383     98/100     NonOverlappingTemplate
  6   8  10  11  12  14  10  12   8   9  0.834308    100/100     NonOverlappingTemplate
  4  14  13   9   6  10  14  12   7  11  0.289667    100/100     NonOverlappingTemplate
 10   7   8  15  10  11  11  11  11   6  0.759756     99/100     NonOverlappingTemplate
 11   9  11   8  14   9   9   7   7  15  0.657933     98/100     NonOverlappingTemplate
  8  11  10   8  14   9  11  12   9   8  0.935716    100/100     NonOverlappingTemplate
  9  15  10   8  11  16   9   6   8   8  0.419021     99/100     NonOverlappingTemplate
 15  10  10  11   7  12   2   8  16   9  0.108791     99/100     NonOverlappingTemplate
  8  11  10   9  11  12   8  15  10   6  0.779188     99/100     NonOverlappingTemplate
 18  12  12   4   9  10   7  10   7  11  0.171867    100/100     NonOverlappingTemplate
 16   5  11  13  15   7   6   8  10   9  0.181557     98/100     NonOverlappingTemplate
 10   9   8  11  12  18   8   9   5  10  0.319084    100/100     NonOverlappingTemplate
  8   6  10   5  14  10   9  14  11  13  0.455937     99/100     NonOverlappingTemplate
 13   7  16   9   6  13  12   9  11   4  0.202268     96/100     NonOverlappingTemplate
 10   8  10   7   6  15  10  12  11  11  0.739918    100/100     NonOverlappingTemplate
  9   9  14   8  14   4   8  12  11  11  0.494392     97/100     NonOverlappingTemplate
  8   7   9   9  12   8  11  12  12  12  0.935716    100/100     NonOverlappingTemplate
 14  13  13  11   7   5  15   7   9   6  0.213309    100/100     NonOverlappingTemplate
  9  13  10  12  13   7   7   7  13   9  0.739918    100/100     NonOverlappingTemplate
 11   8  11   9   8   9  12  10  13   9  0.978072    100/100     NonOverlappingTemplate
 13  13   8  13  10  11  11   7  11   3  0.419021     97/100     NonOverlappingTemplate
  8   8  16   3  13  11  10  11  10  10  0.319084    100/100     NonOverlappingTemplate
 10  17  12   9   9   7  11   5   6  14  0.202268     99/100     NonOverlappingTemplate
 15  11  10  14  10   9   2  12  10   7  0.213309     99/100     NonOverlappingTemplate
  8  12   9  12   5   9  15  13  11   6  0.437274    100/100     NonOverlappingTemplate
 11  11   6  13  14   7   6   9  13  10  0.554420     99/100     NonOverlappingTemplate
  4   9  16  14  10   7  14   9  11   6  0.153763    100/100     NonOverlappingTemplate
  8  11  11  12   6   9   8  16   9  10  0.657933    100/100     NonOverlappingTemplate
 10   7   9  13   6  10   9  15  10  11  0.719747     99/100     NonOverlappingTemplate
  8  12   9  13   7   8  10  11  10  12  0.935716     99/100     NonOverlappingTemplate
 13  10   7   6  16   6  10  12  13   7  0.289667     99/100     NonOverlappingTemplate
 13  11   4  11  11  11  12   8   8  11  0.719747     98/100     NonOverlappingTemplate
 11  14  11  12   7   9   6  13   7  10  0.678686    100/100     NonOverlappingTemplate
 13  13   9  10   6  10  12   6  12   9  0.739918     99/100     NonOverlappingTemplate
  9   7  16   8  14   6   7   7  14  12  0.213309    100/100     NonOverlappingTemplate
  8  14  15   9   8  13  12   5   7   9  0.366918     99/100     NonOverlappingTemplate
 15   8   6   9  16   8   5  14   8  11  0.153763     99/100     NonOverlappingTemplate
 13   9  11   6   9  12  13   7  10  10  0.834308     99/100     NonOverlappingTemplate
  9   8   7  10   7   8  14  10   9  18  0.289667    100/100     NonOverlappingTemplate
 15  12   7   8   7   5  12  10  12  12  0.455937    100/100     NonOverlappingTemplate
 17  11   0   8  10  12   8  11  10  13  0.045675     99/100     NonOverlappingTemplate
 10   8   8   7  12   7  15  11  12  10  0.739918    100/100     NonOverlappingTemplate
 12   6   9   6   6  11  11  14   9  16  0.289667     99/100     NonOverlappingTemplate
  8  16   7  10  12  12   7   7   8  13  0.455937     99/100     NonOverlappingTemplate
 11   5  12   7  17   5   8  13   6  16  0.037566    100/100     NonOverlappingTemplate
  9   7   6  14  11  12  11   9  11  10  0.834308     98/100     NonOverlappingTemplate
 11   7   8  19   9   9  10   6  12   9  0.224821     98/100     NonOverlappingTemplate
  8  16   9   4   9  10  14  13   6  11  0.213309     98/100     NonOverlappingTemplate
  4   8   3  14  11   9  14  11  16  10  0.066882    100/100     NonOverlappingTemplate
 13   9  12   8   6  13  11  10   7  11  0.798139     99/100     NonOverlappingTemplate
 14  11   8   6   9   9  14  10   7  12  0.657933     97/100     NonOverlappingTemplate
 10  13  15  13   8   7   7  11   8   8  0.595549    100/100     NonOverlappingTemplate
 13   6   9  14  11   6  10   9  12  10  0.699313    100/100     NonOverlappingTemplate
 10  13   6   8  10  11  15   9   8  10  0.739918    100/100     NonOverlappingTemplate
 13   7  19   8   7  13   5   6  10  12  0.055361     98/100     NonOverlappingTemplate
 11  15   8  11   7  12   9  10  10   7  0.798139     99/100     NonOverlappingTemplate
 13  12   8   8  11   9   7  11   8  13  0.867692    100/100     NonOverlappingTemplate
 13  12   8   9  11   8   9   7   9  14  0.834308     98/100     NonOverlappingTemplate
  4  16  10   8  10  10  15   7   8  12  0.224821     99/100     NonOverlappingTemplate
 11  16   9   7  10  13   7   9  10   8  0.637119     99/100     NonOverlappingTemplate
  6  14  10  13   5  11  12   9  11   9  0.595549    100/100     NonOverlappingTemplate
  9  11  10  12  15  10   6  10   8   9  0.816537     99/100     NonOverlappingTemplate
 10   4  10  10  11   6  13  10  11  15  0.455937    100/100     NonOverlappingTemplate
 11   5  11   7   4  16   6  16  14  10  0.040108    100/100     NonOverlappingTemplate
 11  11  10  15  10   6   9  12   8   8  0.779188     99/100     NonOverlappingTemplate
 11  10   5   9  14  10  10   9  12  10  0.851383    100/100     NonOverlappingTemplate
  6  12  15  10  12   7   9   6  10  13  0.494392    100/100     NonOverlappingTemplate
  6   8  11   9  14  11  14   9   6  12  0.574903     99/100     NonOverlappingTemplate
  9  12   6   7  16  19   7   5  12   7  0.021999     99/100     NonOverlappingTemplate
  7   8  14  11   7  11  12  12  12   6  0.657933    100/100     NonOverlappingTemplate
 12   9   8  15   7  11   9  12  10   7  0.759756     99/100     NonOverlappingTemplate
 11  13   9  11  10  12  12  12   2   8  0.419021    100/100     NonOverlappingTemplate
  9   6  12  15  12   8   9  10  12   7  0.657933    100/100     NonOverlappingTemplate
 10  11   7  12  14  12  12   7   8   7  0.739918     99/100     NonOverlappingTemplate
  8   8  17   6  12  10  11  10   7  11  0.455937     99/100     NonOverlappingTemplate
  8  14  10   9   9   7  16   9   8  10  0.616305     99/100     NonOverlappingTemplate
 14  10   4   7   9  15  10  10  14   7  0.262249     98/100     NonOverlappingTemplate
  6  13  18   9  11  14   8   6   6   9  0.108791    100/100     NonOverlappingTemplate
 11  10  13  14  12   3  11   7  11   8  0.401199     99/100     NonOverlappingTemplate
 16   8   5   6   9   6  10  15  13  12  0.137282     98/100     NonOverlappingTemplate
 13  10   7  15  12   9   8   9   5  12  0.514124     98/100     NonOverlappingTemplate
 12  11   4  11   9  17   8  10   8  10  0.350485     99/100     NonOverlappingTemplate
  9  11   9  12   9  11   8   7  13  11  0.955835    100/100     NonOverlappingTemplate
  6  13   9  11  10   7   8  16  12   8  0.494392     97/100     NonOverlappingTemplate
 17  10   9  10  10   7  11   8   9   9  0.678686     96/100     NonOverlappingTemplate
  9   7   9   8  11   7  16  15   7  11  0.383827    100/100     NonOverlappingTemplate
 10  12  11   8  16   8   6  11   8  10  0.637119     99/100     NonOverlappingTemplate
  4  13   8  15  10  12   9  12  12   5  0.262249    100/100     NonOverlappingTemplate
  4  13  10   9   9  13   8   9  14  11  0.554420    100/100     NonOverlappingTemplate
 15  11   8  10   5  14   5  15  12   5  0.090936     99/100     NonOverlappingTemplate
 10  11   8   4  10  10  17   6  11  13  0.236810     99/100     NonOverlappingTemplate
 10  11   9   8  10  14  14   7   4  13  0.419021    100/100     NonOverlappingTemplate
 14   8  15   9   8   7   9   8   9  13  0.595549     97/100     NonOverlappingTemplate
  7   6   8  13   7  12  13  13  10  11  0.637119    100/100     NonOverlappingTemplate
  7   9  12  14  11   5  10   7  11  14  0.514124     97/100     NonOverlappingTemplate
  8   6  10   9  11  12  12   8  15   9  0.739918     98/100     NonOverlappingTemplate
 10   7  10   5  16  10  11   7   8  16  0.213309     99/100     NonOverlappingTemplate
 14  11  10   8  12   9  10  10   9   7  0.935716     99/100     NonOverlappingTemplate
  9  13  15  12  10   7  10   7   7  10  0.678686    100/100     NonOverlappingTemplate
 12  12   7  10  10  10  12  11   9   7  0.955835     98/100     NonOverlappingTemplate
  9   8  15  15   7   5  14   9  13   5  0.122325     99/100     NonOverlappingTemplate
 10   8  11   6  14  11   6  12  13   9  0.657933    100/100     NonOverlappingTemplate
  8   9  10  16   7  11  11   9   8  11  0.759756    100/100     NonOverlappingTemplate
  9  12   7   6  11  10  13  12  10  10  0.883171     99/100     NonOverlappingTemplate
 11   8  10  15   3   8   7  12  10  16  0.153763     99/100     NonOverlappingTemplate
  9   7  13  11   9  17   3  11   9  11  0.202268     98/100     NonOverlappingTemplate
  8  12   9   9   8  12  12   6  12  12  0.867692     99/100     NonOverlappingTemplate
 11  16  11   7  12   5  11   8   9  10  0.514124     97/100     NonOverlappingTemplate
 12   6   8  15  15   9  10   8  12   5  0.289667     99/100     NonOverlappingTemplate
  7  14  14  10   7  11   9   7  10  11  0.719747     98/100     NonOverlappingTemplate
  7   8  10  15   6  12  15  12   9   6  0.319084     99/100     NonOverlappingTemplate
 11  12   9  11  17  11  10   3  10   6  0.202268    100/100     NonOverlappingTemplate
 16   6   7  14   8   9  12  14   7   7  0.213309     99/100     NonOverlappingTemplate
 15  12   7   8   7   5  12  10  12  12  0.455937    100/100     NonOverlappingTemplate
 19  14   9  12   7  11   9   5   5   9  0.058984     99/100     OverlappingTemplate
 12  11   6  10   6  15  10  10   9  11  0.699313     97/100     Universal
  7  13  11  12  12   9   5  11   9  11  0.779188     97/100     ApproximateEntropy
  8  13   9  10  11   9   6   4   8   9  0.572333     87/87      RandomExcursions
  8  10   9  13   5  11   7   9  10   5  0.546791     86/87      RandomExcursions
  8   6   8   6   7   7  14  12  13   6  0.250878     87/87      RandomExcursions
 11   7  10   8   8   7   9   6  12   9  0.865697     87/87      RandomExcursions
 13   7   5  10   7   7  10  10  10   8  0.676097     86/87      RandomExcursions
  9  11  11  11   8   9   8   8   5   7  0.845066     84/87      RandomExcursions
  6   7  13  13   6   9  10  11   5   7  0.320988     86/87      RandomExcursions
 10   8  10   6   5   9  12   9  15   3  0.117948     85/87      RandomExcursions
  9   4   6  12   4  12   6   7  12  15  0.043157     85/87      RandomExcursionsVariant
  9   6   8   6   8   4  12  10   7  17  0.069538     85/87      RandomExcursionsVariant
  7   8   9   8   4   6  12  14  12   7  0.250878     85/87      RandomExcursionsVariant
  9   6   7   9   5  12   8  15   8   8  0.340461     85/87      RandomExcursionsVariant
 11   4   7   6  11   9  16  11   7   5  0.081137     86/87      RandomExcursionsVariant
 11   6   4  10  10  15  11   6   6   8  0.168344     86/87      RandomExcursionsVariant
  9   9   2  12  11  11   5  10  12   6  0.157031     87/87      RandomExcursionsVariant
  8  13   7   3   7  13   8  12   7   9  0.220448     87/87      RandomExcursionsVariant
 11   5  11   6  11   9   7   5  10  12  0.448892     86/87      RandomExcursionsVariant
 11   8   7  13   6  15   4   9   8   6  0.136304     85/87      RandomExcursionsVariant
  5  15  10  11  11   6   6   7   9   7  0.250878     87/87      RandomExcursionsVariant
  7  11   8  12   3  12  11   6   8   9  0.340461     87/87      RandomExcursionsVariant
  6  11   9   7  10   6   8  12  12   6  0.598138     87/87      RandomExcursionsVariant
  6  11  10  12   7   6   9   8  15   3  0.117948     87/87      RandomExcursionsVariant
  7  11   8  11   8  11   9   7   6   9  0.885045     86/87      RandomExcursionsVariant
  8   9  11  10  10   9  10   6   4  10  0.752361     86/87      RandomExcursionsVariant
  7  11  14   6   5  10   9   8  11   6  0.381687     86/87      RandomExcursionsVariant
  7  14  11   5   6   5  11   8  10  10  0.302291     87/87      RandomExcursionsVariant
  8   8  12   9   7   9  10  16  11  10  0.739918     98/100     Serial
  7  10   9   7   9  12  14   4  10  18  0.122325    100/100     Serial
  8  13   9   9  11   8   9  11  15   7  0.779188    100/100     LinearComplexity


- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The minimum pass rate for each statistical test with the exception of the
random excursion (variant) test is approximately = 96 for a
sample size = 100 binary sequences.

The minimum pass rate for the random excursion (variant) test
is approximately = 83 for a sample size = 87 binary sequences.

For further guidelines construct a probability table using the MAPLE program
provided in the addendum section of the documentation.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

NIST sts-2.1.2 Breeze256

100 samples with 8,000.000 bits (10**6 bytes) 

------------------------------------------------------------------------------
RESULTS FOR THE UNIFORMITY OF P-VALUES AND THE PROPORTION OF PASSING SEQUENCES
------------------------------------------------------------------------------
   generator is <../256N_292422974.bin>
------------------------------------------------------------------------------
 C1  C2  C3  C4  C5  C6  C7  C8  C9 C10  P-VALUE  PROPORTION  STATISTICAL TEST
------------------------------------------------------------------------------
  7  11  10   8  10   7   9  10  12  16  0.699313     99/100     Frequency
 11  13   6  10  10  13  13   9   7   8  0.759756     99/100     BlockFrequency
 10   7   8   8  11  10   9   9  16  12  0.739918     98/100     CumulativeSums
  9   8  10   9   8  10   8  15  10  13  0.851383     99/100     CumulativeSums
  9   7  11  11  10  12  12  10   9   9  0.987896    100/100     Runs
  7  12  18   5  12   7   7  11  10  11  0.181557    100/100     LongestRun
  6  10  11  13   8  14  12  12   6   8  0.595549     98/100     Rank
 11   6  13  11  10   8  18   7  10   6  0.213309     99/100     FFT
 10  10   6   9  15  10   8  14   7  11  0.616305     99/100     NonOverlappingTemplate
 16  11   9  10  14   5  12   7   7   9  0.334538     98/100     NonOverlappingTemplate
  9   7   8  12   3  17  10  16   7  11  0.062821     98/100     NonOverlappingTemplate
 11   6  10   9   6  16   8  12  10  12  0.514124     99/100     NonOverlappingTemplate
 11  13   8   6  14   7  10  12   9  10  0.739918     99/100     NonOverlappingTemplate
 12   8   6   9   9  10  18  13   7   8  0.262249     98/100     NonOverlappingTemplate
  4  13  11   8  16  10  12   6  13   7  0.191687    100/100     NonOverlappingTemplate
 10   7  16  12  11  13   6   7   6  12  0.319084     97/100     NonOverlappingTemplate
  9   7   8  11   6  11  16  14   7  11  0.401199    100/100     NonOverlappingTemplate
  6  11   5  14  11   9  12  15   9   8  0.401199     99/100     NonOverlappingTemplate
 16   5   8  12   8   8  11   9   9  14  0.383827     99/100     NonOverlappingTemplate
 14  10  13   5  15   9   6   9  10   9  0.401199     98/100     NonOverlappingTemplate
  7  10  10  13  10  11  11  13   4  11  0.678686    100/100     NonOverlappingTemplate
  9   9   8  10  15  11   5   9  10  14  0.595549    100/100     NonOverlappingTemplate
  8  11  13  15   9  10   8   9   9   8  0.834308     98/100     NonOverlappingTemplate
 10   8   9  16   9   6   9  13   9  11  0.637119     97/100     NonOverlappingTemplate
 11  11   8  13   8  11  13   7  10   8  0.897763    100/100     NonOverlappingTemplate
  5  10   5  13   8  15  13  13  10   8  0.275709     99/100     NonOverlappingTemplate
  8   7  13  13  12  10  10  14   8   5  0.534146     99/100     NonOverlappingTemplate
 11  11  12   9   9  10   5  13  11   9  0.883171     99/100     NonOverlappingTemplate
 11  12   9  12   7   9  16   6   9   9  0.595549    100/100     NonOverlappingTemplate
  8   8   9  14  10   4  15  14   9   9  0.319084     98/100     NonOverlappingTemplate
  9  11   9  14  10  12   8   9   9   9  0.964295     99/100     NonOverlappingTemplate
  7  11   9  11  10  12  11   6  11  12  0.924076    100/100     NonOverlappingTemplate
 11  11   5  10  14  12   8  12  10   7  0.699313     99/100     NonOverlappingTemplate
 12   7  11   7   9  11   8  12   8  15  0.719747     99/100     NonOverlappingTemplate
 11  11  13  10  12   9   8   8   6  12  0.883171     98/100     NonOverlappingTemplate
  7   7  14  13  14   9   5  14   8   9  0.304126    100/100     NonOverlappingTemplate
 11  10  11   8  12   7   8   8  14  11  0.883171    100/100     NonOverlappingTemplate
 11  13   6  11   9  10   9  12  12   7  0.867692     99/100     NonOverlappingTemplate
 13   9   8  13   5  11  13  12   5  11  0.455937    100/100     NonOverlappingTemplate
 11   6   9   8   7  10  12   8  16  13  0.494392     99/100     NonOverlappingTemplate
 12   8   7   5   8   8  13  12  13  14  0.455937     99/100     NonOverlappingTemplate
  9  10  11  11  12  14   8   5  10  10  0.816537     98/100     NonOverlappingTemplate
  8  15  12  11   7   9   7  10   9  12  0.759756     99/100     NonOverlappingTemplate
  9  10   8   9   9  10  10  15   9  11  0.946308     99/100     NonOverlappingTemplate
  9  10  14  11   9   5  13   7  12  10  0.678686    100/100     NonOverlappingTemplate
  6  11  19  11  12   2  14   4  11  10  0.008879    100/100     NonOverlappingTemplate
 14   8  16   9   6   8  15  11   6   7  0.171867     99/100     NonOverlappingTemplate
  8  10  12   7   8  14   7  10  11  13  0.779188     99/100     NonOverlappingTemplate
  8   8  14  10   9  11   9   7  11  13  0.867692     98/100     NonOverlappingTemplate
 14   6   8   6   7  11  13  15  10  10  0.383827     99/100     NonOverlappingTemplate
 15  11   4  10   4  12  12  12  11   9  0.262249     97/100     NonOverlappingTemplate
 11  12  11   9   8  11  10   7  11  10  0.987896     99/100     NonOverlappingTemplate
  5   8  14   8  12  13  12  12   8   8  0.554420     98/100     NonOverlappingTemplate
 12  11  11   8  13   7  13   8  10   7  0.834308     99/100     NonOverlappingTemplate
 10   8   7   8  14   7  13  17   6  10  0.236810    100/100     NonOverlappingTemplate
 12   4  11   8  14  12   6  13  11   9  0.419021     96/100     NonOverlappingTemplate
  7   8   6  12  11  11  10   7  17  11  0.401199    100/100     NonOverlappingTemplate
  5  18   9  13  16   7   5   6  12   9  0.025193    100/100     NonOverlappingTemplate
 13  13   6   9   9  13  11  10   2  14  0.181557     99/100     NonOverlappingTemplate
  6  15   9  11  13   8  12   7  12   7  0.514124    100/100     NonOverlappingTemplate
  8  15   9   9  12   5  14  10   8  10  0.534146     98/100     NonOverlappingTemplate
  8  20   8  11  10   6  11   6  11   9  0.108791    100/100     NonOverlappingTemplate
  7  17   7   9   5  10  13  11  11  10  0.319084     98/100     NonOverlappingTemplate
 10  13   5   7  11  14  14   8  11   7  0.437274     99/100     NonOverlappingTemplate
  9  14  16  12   7   6  13   5   2  16  0.010237    100/100     NonOverlappingTemplate
 12   9   9   9   7  10  11  13   8  12  0.946308    100/100     NonOverlappingTemplate
 17  12   9   7   7  13  10   7  11   7  0.350485     97/100     NonOverlappingTemplate
  9   6  11   7  11   8  12   9  16  11  0.595549    100/100     NonOverlappingTemplate
 10   4  11  13   7  12  14   5  11  13  0.275709     99/100     NonOverlappingTemplate
 11  10   6  14   9  12   8  14   6  10  0.595549     99/100     NonOverlappingTemplate
 10  14  12   9  19  11   9   6   6   4  0.045675    100/100     NonOverlappingTemplate
 11   7  12   7   9   8  10  14  12  10  0.851383     99/100     NonOverlappingTemplate
  8  11  11   8  18   4   5  12  13  10  0.096578     98/100     NonOverlappingTemplate
  8   9  14   6  12   5  13  13  10  10  0.494392     99/100     NonOverlappingTemplate
 19   4  11   7   8  11  12  12   9   7  0.090936     99/100     NonOverlappingTemplate
 13   6   8   5   6  15  11  17   8  11  0.090936     99/100     NonOverlappingTemplate
 11   7  11   7  12  10  11  11   9  11  0.971699     98/100     NonOverlappingTemplate
  5  12  12  12  10   9  12   7  10  11  0.816537    100/100     NonOverlappingTemplate
 12   9   6  14  13  12   7   7   8  12  0.574903    100/100     NonOverlappingTemplate
 10   7  16  11   7   6  13  10  14   6  0.262249     99/100     NonOverlappingTemplate
 10  17  10   8   8   7   9  12  10   9  0.616305     99/100     NonOverlappingTemplate
  5  13   6  13  13  16   8   8  10   8  0.236810    100/100     NonOverlappingTemplate
 10  10   6   9  15  10   8  14   7  11  0.616305     99/100     NonOverlappingTemplate
 12   9  13  10   8   7   5  14   9  13  0.554420    100/100     NonOverlappingTemplate
  3  11   6  10   9   6  19  10  12  14  0.030806     99/100     NonOverlappingTemplate
 10   6   7   8  13  16   7  10  11  12  0.455937     99/100     NonOverlappingTemplate
  8  11   9  15   8   4   6   9  16  14  0.122325     98/100     NonOverlappingTemplate
  5  12   5  13   6  16   8  14  13   8  0.096578    100/100     NonOverlappingTemplate
  9  12   7   5   9  12  11  16  12   7  0.401199    100/100     NonOverlappingTemplate
 10   9  13   8   8  12   5   9  10  16  0.494392     98/100     NonOverlappingTemplate
 10   7  10   8  16  13   5  14  10   7  0.289667     98/100     NonOverlappingTemplate
 10  12   7   8   2  18  10   8  15  10  0.042808     99/100     NonOverlappingTemplate
  5  13  11   9   6  11  14  13   5  13  0.262249    100/100     NonOverlappingTemplate
  8  10   6   9  13   9  12  11   9  13  0.867692    100/100     NonOverlappingTemplate
  8  11   7  14  10   7   8  11  10  14  0.739918     99/100     NonOverlappingTemplate
 11   9   8  12  14   5  16   8   6  11  0.289667     98/100     NonOverlappingTemplate
 14  11   9  10  10   7   8  10  11  10  0.955835     99/100     NonOverlappingTemplate
  6  15   7   9  10   7   8  11  13  14  0.437274    100/100     NonOverlappingTemplate
 10   9  11  14   6   9  13   7  12   9  0.759756    100/100     NonOverlappingTemplate
 10   7  14   7  12  16   9   7   8  10  0.455937     98/100     NonOverlappingTemplate
  9  11  10  11   5   7  11  11  13  12  0.816537     97/100     NonOverlappingTemplate
  8  14  11  13   7  11   9   4  10  13  0.474986    100/100     NonOverlappingTemplate
  4   6  10  13  13  10   9  14   7  14  0.262249    100/100     NonOverlappingTemplate
 10   8   7  11  11  15   6  11  13   8  0.637119     98/100     NonOverlappingTemplate
 11  14   6   9  15   6  11  10  10   8  0.534146     98/100     NonOverlappingTemplate
 12  10  11   6  11  14   6   7   9  14  0.534146     99/100     NonOverlappingTemplate
 11  10  13  14   9  10   8  13   7   5  0.595549     98/100     NonOverlappingTemplate
 17   5  10   6  12   8   8  10   8  16  0.115387     98/100     NonOverlappingTemplate
 15   5  13   8   8  10  15   6   8  12  0.236810     98/100     NonOverlappingTemplate
  7   5  16  11  12  12  14   6  10   7  0.213309     99/100     NonOverlappingTemplate
 10  10  12   8  12  11   5   9   8  15  0.657933     99/100     NonOverlappingTemplate
  6  10  12  14  10   7   9  13  11   8  0.739918    100/100     NonOverlappingTemplate
 12   4  12  14  10  11  10   8   8  11  0.637119     97/100     NonOverlappingTemplate
 14   4   7  10   7  12  10  14  10  12  0.401199    100/100     NonOverlappingTemplate
 10  13  13  10   9   9  10  11   7   8  0.946308     98/100     NonOverlappingTemplate
 12  13  11  16   8   7   9   6   5  13  0.249284     97/100     NonOverlappingTemplate
 10  10  10   9  11   8   7  14  10  11  0.955835     97/100     NonOverlappingTemplate
 13   9   7  12  16  11  12   6   4  10  0.236810     98/100     NonOverlappingTemplate
  8   8  11   9   7  12   6  16  10  13  0.494392     98/100     NonOverlappingTemplate
 11   4   7   8  12   7  13   9  15  14  0.249284    100/100     NonOverlappingTemplate
 10  14  11  15   7  12   8   8   5  10  0.455937    100/100     NonOverlappingTemplate
 12  10   8   7   5   9  12  11  15  11  0.595549     98/100     NonOverlappingTemplate
  7  12  10   4   9  12  17  11   9   9  0.304126    100/100     NonOverlappingTemplate
 11  14  11  12   5  10  10   7  12   8  0.699313     98/100     NonOverlappingTemplate
 11  11  12   9   9   6  11  10   9  12  0.964295    100/100     NonOverlappingTemplate
  6   9   3  14  10  16  12  15   8   7  0.066882    100/100     NonOverlappingTemplate
  9  17   7   8  10   9   7  12   9  12  0.514124     99/100     NonOverlappingTemplate
  6  13  14  16  12   4  10   8   6  11  0.129620    100/100     NonOverlappingTemplate
 10  11  10  10  13  11   8   7  12   8  0.955835    100/100     NonOverlappingTemplate
 13   9  13  12  12   8  10   3   8  12  0.455937     98/100     NonOverlappingTemplate
 10   7  13  11  10   8   8   8  14  11  0.851383     98/100     NonOverlappingTemplate
 14   8  10   4   6   9  13  10  15  11  0.289667     99/100     NonOverlappingTemplate
  9   7  12  14  11  14   7   9   7  10  0.678686     99/100     NonOverlappingTemplate
 15  10   8  12  12  10   9   8   9   7  0.816537     99/100     NonOverlappingTemplate
  9  11  17   8  11   9   8  11   5  11  0.455937     98/100     NonOverlappingTemplate
  3  12  18   5  17   9  13   4  12   7  0.002971    100/100     NonOverlappingTemplate
 12  12  11  11   8   4   4  13   6  19  0.023545    100/100     NonOverlappingTemplate
 10  10  11  12  14   5   6  10  13   9  0.616305    100/100     NonOverlappingTemplate
  9  12  10  11   8   8  14   8  12   8  0.897763     99/100     NonOverlappingTemplate
 15   9   9   4  10   7  11  15   8  12  0.304126     98/100     NonOverlappingTemplate
  9   3  11  18  10  12   8  12  10   7  0.137282     99/100     NonOverlappingTemplate
 15   5   9  11   7  11  12  11  10   9  0.657933    100/100     NonOverlappingTemplate
 14   7   7   6   8  11  14   9  15   9  0.366918     99/100     NonOverlappingTemplate
  5   8   5  15  11   8  11   6  15  16  0.062821    100/100     NonOverlappingTemplate
 10  13   5  13  10   9   5  18   7  10  0.115387     99/100     NonOverlappingTemplate
 12  11   8  10   9  12   9   6   4  19  0.096578     99/100     NonOverlappingTemplate
 12  14   8  11   7  12   5   9  12  10  0.657933     99/100     NonOverlappingTemplate
  9  15  15   4   6   6   8  16  12   9  0.058984     99/100     NonOverlappingTemplate
 12  11  14   8   7  10  10   8   9  11  0.911413     98/100     NonOverlappingTemplate
  9   8   9  11  13  12   4  16  13   5  0.181557     98/100     NonOverlappingTemplate
  4  13  11   9   8   7   8  17  11  12  0.224821    100/100     NonOverlappingTemplate
  8  12  11   9  13  12  14  10   6   5  0.534146     99/100     NonOverlappingTemplate
 11  12  10  11   8   9  18   7   9   5  0.275709    100/100     NonOverlappingTemplate
 15   9   5   7  10  13   6  12  16   7  0.145326     99/100     NonOverlappingTemplate
  5   9   9   9  15   9  15  11  11   7  0.437274     99/100     NonOverlappingTemplate
  5  13   6  13  12  17   8   8  10   8  0.191687    100/100     NonOverlappingTemplate
 12   7  16  17   4  15   5   5   9  10  0.012650     99/100     OverlappingTemplate
 11  12   9  11   6   8  11  12  10  10  0.955835     98/100     Universal
  9   8  13  11  10  11   7  10   9  12  0.964295     98/100     ApproximateEntropy
 12  12   5  13   9   8   8  10   8   4  0.284375     87/89      RandomExcursions
 13   7  10  13  12   6   6  10   8   4  0.192984     88/89      RandomExcursions
 14  15  12   6   7   6   8   5   6  10  0.069538     86/89      RandomExcursions
 14   8   9   7  12   5  11  10   7   6  0.340461     87/89      RandomExcursions
  6   6   9   8  14  12  15   6   4   9  0.059452     89/89      RandomExcursions
  9   8   7   4  13  12   5  11  10  10  0.302291     86/89      RandomExcursions
 15   8   8   8  13   8  12   8   6   3  0.094427     88/89      RandomExcursions
  9  10  16   4  11  12   4   7   6  10  0.050710     88/89      RandomExcursions
  9   8  11  13   5   8   8   6  11  10  0.572333     87/89      RandomExcursionsVariant
 11   6  10  12   8   8   9  11   9   5  0.676097     87/89      RandomExcursionsVariant
  9  13   5  13  10   9   9   5   7   9  0.381687     88/89      RandomExcursionsVariant
 13   9  10   7  12  10  10   8   7   3  0.340461     88/89      RandomExcursionsVariant
 14  12   6   5  15  10  10   7   6   4  0.036652     88/89      RandomExcursionsVariant
 14  11   3  11  10  12   7   8   9   4  0.101765     88/89      RandomExcursionsVariant
 15  10   8  10   3   9  17   5   6   6  0.007096     86/89      RandomExcursionsVariant
 17   9   5   9   9   7   6   5   6  16  0.009284     87/89      RandomExcursionsVariant
 15   4   8  11  11   8   9  11   7   5  0.168344     88/89      RandomExcursionsVariant
 11   8   8  10   9  11   5   8   9  10  0.865697     87/89      RandomExcursionsVariant
  7   7  11  12  12   6   6   9   4  15  0.101765     87/89      RandomExcursionsVariant
  9   5  14  10  14  16   2  11   3   5  0.000749     86/89      RandomExcursionsVariant
 10  13  13   8   8   8   4  13   8   4  0.126842     88/89      RandomExcursionsVariant
 10  13  11  10   8   7   4  10   5  11  0.340461     88/89      RandomExcursionsVariant
  8  11  14   8  16   8   2   9   4   9  0.015734     89/89      RandomExcursionsVariant
  9  14   4  17  11   8   8   6   6   6  0.022187     89/89      RandomExcursionsVariant
 12  11   5  14   7  10   9   9   3   9  0.168344     89/89      RandomExcursionsVariant
 12   9   7   9  10  10  11   8   7   6  0.823278     89/89      RandomExcursionsVariant
  9  10  15  11  12   5   9  11   9   9  0.739918     99/100     Serial
 10  11  15   6   8  11   4  16  12   7  0.153763    100/100     Serial
 12   6   7  15   9  11  11   9   9  11  0.739918     99/100     LinearComplexity


- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The minimum pass rate for each statistical test with the exception of the
random excursion (variant) test is approximately = 96 for a
sample size = 100 binary sequences.

The minimum pass rate for the random excursion (variant) test
is approximately = 85 for a sample size = 89 binary sequences.

For further guidelines construct a probability table using the MAPLE program
provided in the addendum section of the documentation.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

------------------------------------------------------------------------------
RESULTS FOR THE UNIFORMITY OF P-VALUES AND THE PROPORTION OF PASSING SEQUENCES
------------------------------------------------------------------------------
   generator is <../256N_1763944745.bin>
------------------------------------------------------------------------------
 C1  C2  C3  C4  C5  C6  C7  C8  C9 C10  P-VALUE  PROPORTION  STATISTICAL TEST
------------------------------------------------------------------------------
  4  10  12   4  11  13   6  10  15  15  0.085587     99/100     Frequency
  6   8   9   9   9   8  13  12  11  15  0.678686     99/100     BlockFrequency
  4   6  12  13   9  11  11  12  14   8  0.419021     99/100     CumulativeSums
  9   4   9   6  14  14  11  13  10  10  0.383827     99/100     CumulativeSums
 12  10  13   6   6  10  10  13   7  13  0.616305     98/100     Runs
 13  11   4  13  10  12   3  11  11  12  0.249284     98/100     LongestRun
 13  12  10  13  10  14   6   5  12   5  0.289667    100/100     Rank
  8  10  12  11   5  16  15   8   7   8  0.262249     98/100     FFT
 13   8   8   1  13  13   8   9  13  14  0.102526     96/100     NonOverlappingTemplate
 10  10   6   8   8  10  14  11  12  11  0.867692     99/100     NonOverlappingTemplate
  8  11   9  13  10  10   8  12   8  11  0.971699     99/100     NonOverlappingTemplate
 12  13  11   4  11   8  10   9  11  11  0.759756    100/100     NonOverlappingTemplate
  5  12  10  12  12   6  10   9  10  14  0.637119     99/100     NonOverlappingTemplate
  7  14  10   7   9  12  12   8   9  12  0.816537    100/100     NonOverlappingTemplate
 10   9  15   8   8   7  14   9   9  11  0.719747    100/100     NonOverlappingTemplate
 15   9   9   9   6  13  14  10   7   8  0.514124     98/100     NonOverlappingTemplate
 11  10   9   9   5  14  10  12   8  12  0.779188     98/100     NonOverlappingTemplate
 10  11  11  14  10   9   6   8   9  12  0.883171    100/100     NonOverlappingTemplate
 11   7  15  14   9   7   9  11   6  11  0.534146    100/100     NonOverlappingTemplate
  6  10   6  11   9  12   7  14  10  15  0.455937    100/100     NonOverlappingTemplate
  4  13  11   9  10  15  13   6   4  15  0.071177    100/100     NonOverlappingTemplate
 11  15   6   9   9  13   8  12  11   6  0.554420     99/100     NonOverlappingTemplate
  5   9  11  10  15  10  13   8  10   9  0.678686    100/100     NonOverlappingTemplate
  5  11  17   8  11  11  14  12   5   6  0.115387    100/100     NonOverlappingTemplate
  9   9   2   8  14  10  15  10  14   9  0.171867    100/100     NonOverlappingTemplate
  9   8  13   9  10  11   9  14   9   8  0.924076     99/100     NonOverlappingTemplate
  3  12   9  12  13  17   7   4  12  11  0.055361    100/100     NonOverlappingTemplate
 11  10   9  13  10  12   6  11  12   6  0.816537     96/100     NonOverlappingTemplate
 15   8   8  14  10   8  10  10   8   9  0.759756     97/100     NonOverlappingTemplate
  8   7   4  14  10  11  19   5  12  10  0.040108    100/100     NonOverlappingTemplate
 11  14  10   9   7   9   8   4  12  16  0.289667    100/100     NonOverlappingTemplate
 12   8  12   5   8  14  10  14   8   9  0.554420     99/100     NonOverlappingTemplate
  9   9   8  13  12  10   8  11   9  11  0.978072     99/100     NonOverlappingTemplate
 10  10  11  12  15   5  12  12   8   5  0.419021     99/100     NonOverlappingTemplate
  8   9  14  12   8  12  11   8  12   6  0.759756    100/100     NonOverlappingTemplate
  5   9   7   8   9  10  10  11  20  11  0.115387    100/100     NonOverlappingTemplate
 13  11  10   8  14   9  12   6   9   8  0.779188     99/100     NonOverlappingTemplate
  7   4   7  14  16   8  12  11   9  12  0.213309     99/100     NonOverlappingTemplate
 16   9  14  11   6  10   7  12  11   4  0.213309    100/100     NonOverlappingTemplate
 11  10  10  11  12   9   7   8   9  13  0.964295     99/100     NonOverlappingTemplate
  9   8  10  11   8   9   8  20  10   7  0.191687     98/100     NonOverlappingTemplate
  6  13   7  13  10   8  11  16   8   8  0.419021    100/100     NonOverlappingTemplate
 10   7  13  17   6  12   6   9  10  10  0.319084     99/100     NonOverlappingTemplate
 12   8  12   9   7   8  10   9   8  17  0.534146     98/100     NonOverlappingTemplate
 10   9   9  10   8   8  10  15  13   8  0.851383     98/100     NonOverlappingTemplate
  8  13  11  13   9  12  15   2   7  10  0.181557    100/100     NonOverlappingTemplate
  6  13  11   8  18   8  14   6   6  10  0.102526     99/100     NonOverlappingTemplate
 13  13   6   8   9  15  12   8   8   8  0.534146    100/100     NonOverlappingTemplate
  7   9   5   9   8   7  17  15  10  13  0.153763    100/100     NonOverlappingTemplate
 15   6  11   6  15  10  10   8   8  11  0.419021     98/100     NonOverlappingTemplate
 10  13   9   7   8  11  10  11  10  11  0.978072     98/100     NonOverlappingTemplate
 12   8   8  10  11  13   9  10  11   8  0.971699     97/100     NonOverlappingTemplate
  7  11   7  10  13  12   6   9  13  12  0.719747    100/100     NonOverlappingTemplate
 15   9  10   5  14   7   8  12  12   8  0.419021    100/100     NonOverlappingTemplate
 10  10  14   8  12  11   7   8   4  16  0.275709    100/100     NonOverlappingTemplate
 21   5   9  14   8  10   8   7  10   8  0.030806     96/100     NonOverlappingTemplate
  6   7  15   8  12  10   7  10  14  11  0.494392    100/100     NonOverlappingTemplate
  7  11  12  16  11  10   7   5   9  12  0.437274     99/100     NonOverlappingTemplate
  9  10  11  10   6  11  16   8   7  12  0.616305    100/100     NonOverlappingTemplate
 10   9  10   5  18  14  11   6   9   8  0.171867    100/100     NonOverlappingTemplate
 12   4  12  12  16  12   7  12   5   8  0.162606     99/100     NonOverlappingTemplate
  8   9   4  14  11   9  10  16   9  10  0.383827     98/100     NonOverlappingTemplate
  9  10   4  12  13   7   9  11  13  12  0.595549    100/100     NonOverlappingTemplate
 15  11  11   8   6   9  11   8  10  11  0.798139    100/100     NonOverlappingTemplate
 10  13  11   8   6   5  10  14  11  12  0.574903    100/100     NonOverlappingTemplate
 13   8   9  11   8  14  11  11   4  11  0.595549    100/100     NonOverlappingTemplate
 11   9  13  11   8  11   9   8  10  10  0.987896     98/100     NonOverlappingTemplate
  3   6  13   9  15  10  14   7  16   7  0.048716     99/100     NonOverlappingTemplate
 16   9   4   3  11  13  10  12   9  13  0.102526     97/100     NonOverlappingTemplate
 13  14   7   9  11  11   8  14   4   9  0.401199     99/100     NonOverlappingTemplate
  8  11  16  11  11  10   9   5  12   7  0.514124     99/100     NonOverlappingTemplate
  9   8   5  10   7  12  16  14  10   9  0.383827    100/100     NonOverlappingTemplate
 13   6   9   5  14  10  14   7  11  11  0.401199     99/100     NonOverlappingTemplate
 11   7  14   9   9  13   7  11  10   9  0.851383     98/100     NonOverlappingTemplate
  9  11   8   6  12   9   8   8  18  11  0.350485     99/100     NonOverlappingTemplate
 15   7  11   8   5   8   9  13  13  11  0.455937    100/100     NonOverlappingTemplate
  8   9  14  14  11  10  11   5   5  13  0.366918    100/100     NonOverlappingTemplate
  8   7   5  10  10  10   6  16  14  14  0.202268     98/100     NonOverlappingTemplate
 11  13   3   6  16   9  14  12   7   9  0.115387    100/100     NonOverlappingTemplate
 12   8  13  11   7   6  12   8  12  11  0.779188    100/100     NonOverlappingTemplate
 14   8  11  11  14  10   8   9   6   9  0.739918    100/100     NonOverlappingTemplate
  6  11  11   9  15   7   7   8  10  16  0.334538     99/100     NonOverlappingTemplate
 13   8   8   1  13  13   8   9  13  14  0.102526     96/100     NonOverlappingTemplate
  9   8  17   8  12  11   7   7   9  12  0.474986     98/100     NonOverlappingTemplate
  7  13   9  17   5   6   9   7  15  12  0.096578    100/100     NonOverlappingTemplate
  8  13   2  10  11   8  15   7  17   9  0.055361    100/100     NonOverlappingTemplate
  6  11  13   8  10  14   7  12   7  12  0.616305    100/100     NonOverlappingTemplate
 11   9  12   8  11  13  11   8   8   9  0.964295     99/100     NonOverlappingTemplate
 15  13   7  12   9   9   4  10  11  10  0.474986     99/100     NonOverlappingTemplate
 10   7  10   9  12   9  13   8   8  14  0.851383     99/100     NonOverlappingTemplate
 13  12   3  10   9  14  12  10   8   9  0.455937     99/100     NonOverlappingTemplate
  9  14  10   6   7  13  11   7  13  10  0.637119     98/100     NonOverlappingTemplate
 14   7  10  10  14   7  12   8  10   8  0.719747     99/100     NonOverlappingTemplate
  6   5  11   6  12  15  13  11  10  11  0.366918     99/100     NonOverlappingTemplate
  7   8   8  12   9  11  10  13  15   7  0.678686    100/100     NonOverlappingTemplate
 10  14   4   6   6   8  14  12  15  11  0.145326    100/100     NonOverlappingTemplate
  7  14   9   4  16   8  13   6  15   8  0.075719    100/100     NonOverlappingTemplate
 12   7   9   7  14  12  14   9   9   7  0.637119     99/100     NonOverlappingTemplate
 13  10  11  11   7  12   8   9   7  12  0.897763     99/100     NonOverlappingTemplate
 13   6   8   8  11  15  10  13   8   8  0.574903     97/100     NonOverlappingTemplate
 19   8   5  10  13  10   8   6  11  10  0.122325     98/100     NonOverlappingTemplate
 10  12   9  15   7  10   7  10  12   8  0.779188    100/100     NonOverlappingTemplate
 13   5  12   9  13  14   8   8   4  14  0.191687     99/100     NonOverlappingTemplate
 11  13  10  10   9   7  14   7  12   7  0.759756     99/100     NonOverlappingTemplate
  7   9  12  10  11   8   8   9  11  15  0.834308     99/100     NonOverlappingTemplate
 11   6   7  15  15  12  11   5   3  15  0.035174    100/100     NonOverlappingTemplate
 15  15   7  12  11  15  10   8   3   4  0.037566     99/100     NonOverlappingTemplate
  6   7  12   9  10  14  12  12   7  11  0.699313    100/100     NonOverlappingTemplate
  9  13   8  16   5   6  11   9  11  12  0.366918     99/100     NonOverlappingTemplate
  7   9   8   5   7  15  12   8  16  13  0.181557    100/100     NonOverlappingTemplate
 13   8  15   6   5  14   9  10   8  12  0.319084    100/100     NonOverlappingTemplate
  9  11   9  13   7  11   9  14   9   8  0.883171    100/100     NonOverlappingTemplate
 11   7  11  15   5   7  10  10  13  11  0.534146     99/100     NonOverlappingTemplate
  8  12   1   3  15   8  15  12  14  12  0.010237    100/100     NonOverlappingTemplate
  9  13   7   5  13  12  13   5  10  13  0.350485    100/100     NonOverlappingTemplate
  6   8  10  14  13  14   5   9  10  11  0.455937    100/100     NonOverlappingTemplate
 14  11   9   8   7  11  13  10  10   7  0.834308     99/100     NonOverlappingTemplate
 10  10   7  10  12   9   7  11  14  10  0.911413    100/100     NonOverlappingTemplate
  6   7  12   8  11  18  10  13  11   4  0.108791    100/100     NonOverlappingTemplate
  8   9   6  11  12   9  10  10  12  13  0.911413    100/100     NonOverlappingTemplate
 14  13   5  16  14   7   9   4   8  10  0.085587     98/100     NonOverlappingTemplate
 15  13   7  12   8   6  10   8  10  11  0.616305     99/100     NonOverlappingTemplate
 13  11   8  12   9   9  14  10   8   6  0.779188    100/100     NonOverlappingTemplate
 11  16  11   9  11   5   7   9  12   9  0.534146    100/100     NonOverlappingTemplate
  9  14  11   9   8   8   8  10   9  14  0.851383     99/100     NonOverlappingTemplate
  6  10   8  16  18  11   9   4  11   7  0.051942     99/100     NonOverlappingTemplate
  9  10  14   9  10   4   9   7  13  15  0.366918    100/100     NonOverlappingTemplate
 18   5  10  12   5   8  13   6  15   8  0.040108     97/100     NonOverlappingTemplate
 11   7   7   9  19  11   8   8  14   6  0.115387     99/100     NonOverlappingTemplate
  6   9   8   8  11  14   6  15  10  13  0.419021    100/100     NonOverlappingTemplate
  7   9  11   4   9  18  13  16   9   4  0.021999    100/100     NonOverlappingTemplate
 12  16   6   4  11  14  11   6  12   8  0.145326     98/100     NonOverlappingTemplate
 19  10   8  10   7   7   9   9  10  11  0.304126    100/100     NonOverlappingTemplate
 12  17  10   8   6   9  11  10   6  11  0.419021    100/100     NonOverlappingTemplate
  6   8  12  13   9  11  11  14   7   9  0.719747    100/100     NonOverlappingTemplate
 17  10  13  13  10   4   8   9   6  10  0.191687    100/100     NonOverlappingTemplate
 17  13   4   7  11   8  11  14   7   8  0.129620     98/100     NonOverlappingTemplate
  9  10  11   9   7   9  12  12  11  10  0.987896    100/100     NonOverlappingTemplate
 13  11  10  13   8   9  12   7   5  12  0.678686     99/100     NonOverlappingTemplate
 12  14   5   4  10   8   8  12  11  16  0.162606     97/100     NonOverlappingTemplate
  9   8   7   8   9  11   8  12  17  11  0.554420     99/100     NonOverlappingTemplate
 11   9   9  12  13   8   9   5   9  15  0.616305     98/100     NonOverlappingTemplate
  4  13  13   9   9  14  10   8  11   9  0.554420    100/100     NonOverlappingTemplate
 17   9   8  12  11  11   8  12   4   8  0.289667     99/100     NonOverlappingTemplate
 10  11   9   8  10  11  15  10   9   7  0.897763     99/100     NonOverlappingTemplate
 10  17   8  10  11  15   5   8   9   7  0.224821    100/100     NonOverlappingTemplate
 14   9   8   6   9   8  15  10  10  11  0.657933     98/100     NonOverlappingTemplate
 10  10   8  11  12  13   9  12  10   5  0.851383    100/100     NonOverlappingTemplate
  8  11   9  12  12  12  10  11  11   4  0.779188    100/100     NonOverlappingTemplate
 11   9  11  13   9  10  10   8  13   6  0.897763     97/100     NonOverlappingTemplate
  6   8  13   5  14  10   7   8  14  15  0.191687    100/100     NonOverlappingTemplate
 11  15   5  11  10   7  10  12  10   9  0.678686    100/100     NonOverlappingTemplate
 12  12  12   6   6  10   9  10  14   9  0.719747     98/100     NonOverlappingTemplate
  7   8  13   7  13   6  12   6  18  10  0.122325    100/100     NonOverlappingTemplate
  7   8  15   9   9  14  11  13   6   8  0.474986     98/100     NonOverlappingTemplate
  6  11  11   9  15   7   7   8  10  16  0.334538     99/100     NonOverlappingTemplate
 12  12   9  13   7  11   7   8  14   7  0.678686     99/100     OverlappingTemplate
 13   9  16   9  11  12  11   6   9   4  0.304126     99/100     Universal
 11   5   8  10  11  13  17  10   9   6  0.304126    100/100     ApproximateEntropy
 10  16   5   8   9  10   3   8   6  13  0.048716     87/88      RandomExcursions
  8   4   9  12   8   7  10   7   9  14  0.392456     88/88      RandomExcursions
  4   9  12   4   7  11  10  12   6  13  0.141256     87/88      RandomExcursions
  6   9  16   3   9   9   6  13  10   7  0.061841     88/88      RandomExcursions
  5  11   7   9  10   9   8  10  10   9  0.894201     87/88      RandomExcursions
 10  11  12   4  12   3   9  10  11   6  0.162606     88/88      RandomExcursions
  6   8   9  13  12   8   5  10  10   7  0.534146     88/88      RandomExcursions
  9  13   5   9   8   9   4   9   9  13  0.350485     87/88      RandomExcursions
  6  11   6   5  11   5  14  14   9   7  0.098036     87/88      RandomExcursionsVariant
  5  12   3   6  10  12  14   8   6  12  0.061841     87/88      RandomExcursionsVariant
  7   7   5   7   6  13  18  10   9   6  0.027405     87/88      RandomExcursionsVariant
  7   9   5   9   9   7  13  11   7  11  0.611108     88/88      RandomExcursionsVariant
  7  10   7  10  10  10   6  10  10   8  0.927083     88/88      RandomExcursionsVariant
  9   7   9   4  12   8  10   9   9  11  0.714660     88/88      RandomExcursionsVariant
  9   7   3  11  11   9  11   6  11  10  0.437274     87/88      RandomExcursionsVariant
  8   6  12   4   9   8   7  13  11  10  0.392456     88/88      RandomExcursionsVariant
  5   7   8  13  13   6   4  14   9   9  0.098036     88/88      RandomExcursionsVariant
  3  14  10   5  14   5   9   5   8  15  0.008120     87/88      RandomExcursionsVariant
  7  13   8   7   8  12  13   3   6  11  0.151616     87/88      RandomExcursionsVariant
  6  16   9   7   5  10   4   9  11  11  0.098036     86/88      RandomExcursionsVariant
 11  10   6   7   7   9   8   8   6  16  0.275709     87/88      RandomExcursionsVariant
 10   9   7   6  10   8   7  12   8  11  0.834308     87/88      RandomExcursionsVariant
  9   4  12   7   9   7  14   7   5  14  0.098036     87/88      RandomExcursionsVariant
  5   7  12   8  13   8   7  11   8   9  0.559523     87/88      RandomExcursionsVariant
  5   7   6  13   9  15   8   9  11   5  0.141256     87/88      RandomExcursionsVariant
  5   5  10   9  19  10   7   9   9   5  0.017912     87/88      RandomExcursionsVariant
 10  17  10  10  10  10   9   8   8   8  0.719747     99/100     Serial
 13  11  14   8   6  13   8   8  10   9  0.699313    100/100     Serial
 15  12   8  14   8   6   6   5  19   7  0.017912     99/100     LinearComplexity


- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The minimum pass rate for each statistical test with the exception of the
random excursion (variant) test is approximately = 96 for a
sample size = 100 binary sequences.

The minimum pass rate for the random excursion (variant) test
is approximately = 84 for a sample size = 88 binary sequences.

For further guidelines construct a probability table using the MAPLE program
provided in the addendum section of the documentation.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

NIST sts-2.1.2 Breeze256

100 samples with 8,000.000 bits (10**6 bytes) 

------------------------------------------------------------------------------
RESULTS FOR THE UNIFORMITY OF P-VALUES AND THE PROPORTION OF PASSING SEQUENCES
------------------------------------------------------------------------------
   generator is <../512N_449935155.bin>
------------------------------------------------------------------------------
 C1  C2  C3  C4  C5  C6  C7  C8  C9 C10  P-VALUE  PROPORTION  STATISTICAL TEST
------------------------------------------------------------------------------
  7  10  16  13   8   8  12   7  12   7  0.455937    100/100     Frequency
  7   8  12  10  14  11  10   6  16   6  0.334538    100/100     BlockFrequency
 13   8   8  11  14   5  13  11   8   9  0.595549    100/100     CumulativeSums
  7  14  18   9   6   7  10  12  11   6  0.137282     99/100     CumulativeSums
 16  10   4  13  13  11   6  13   3  11  0.055361     97/100     Runs
  8  15   7  14   8  10   6  10  17   5  0.096578    100/100     LongestRun
  5  11  15  14  11   7   8   8   9  12  0.437274    100/100     Rank
  9  14  10  13  13   5   9   8   7  12  0.554420     99/100     FFT
  9  14   9  10  10   6   8  12  11  11  0.883171    100/100     NonOverlappingTemplate
 10  14   9  14   3   8  12   6  14  10  0.202268    100/100     NonOverlappingTemplate
  9   9   9   9   8   9  12   7  13  15  0.779188     99/100     NonOverlappingTemplate
  7  10   9   9  11  13  12   8  13   8  0.897763     98/100     NonOverlappingTemplate
 15  13   9   7   7   5  10  10  12  12  0.474986     98/100     NonOverlappingTemplate
 11  11  10   6  11   8   6   8  12  17  0.383827     98/100     NonOverlappingTemplate
 12   8  15  10   9  12   6  13   6   9  0.534146    100/100     NonOverlappingTemplate
  6  11   9  12   6  11   6  11  12  16  0.383827     99/100     NonOverlappingTemplate
 13  11  15   8   8  10   9   9   7  10  0.798139     98/100     NonOverlappingTemplate
 12  11  11   8  12   9   5  10  13   9  0.834308    100/100     NonOverlappingTemplate
 11  13   8   7   6  14   6  14  12   9  0.419021     98/100     NonOverlappingTemplate
 11   9  10  11   8   7   6  12  12  14  0.779188     97/100     NonOverlappingTemplate
  9  11  11  10   8   8  10  11  13   9  0.987896     98/100     NonOverlappingTemplate
 10  11   8  10  10   9   8  14  10  10  0.978072     97/100     NonOverlappingTemplate
  5   7  12  11  13   8   9  15  11   9  0.534146     99/100     NonOverlappingTemplate
  5   7   8  11   9  14  13  13   8  12  0.514124     99/100     NonOverlappingTemplate
  9  11   9  12   9  12  15   8   8   7  0.798139     99/100     NonOverlappingTemplate
  9  12  13  11  11  11   8   8  10   7  0.946308     99/100     NonOverlappingTemplate
 11  10  13   7   7  11   6   6  15  14  0.334538     98/100     NonOverlappingTemplate
  8  11   6   9  12  10  10  12  12  10  0.946308     98/100     NonOverlappingTemplate
 15   7  10  10  12  14   9   5   8  10  0.494392     99/100     NonOverlappingTemplate
 13  13   9  12   7   8  11  10   8   9  0.897763     96/100     NonOverlappingTemplate
 12   9   7   8   5   4   8  24  14   9  0.000513     99/100     NonOverlappingTemplate
 15   7   6  12  10  15  14   3   9   9  0.102526    100/100     NonOverlappingTemplate
  8   7  16  11   7  13   8  11   8  11  0.554420    100/100     NonOverlappingTemplate
  9  12   9  13   9   4  13   8  15   8  0.401199    100/100     NonOverlappingTemplate
  2  13   6  14  12  15  12   8   6  12  0.062821    100/100     NonOverlappingTemplate
  6   9   9  10  11  11  14   9  10  11  0.924076    100/100     NonOverlappingTemplate
  7   8  11  13  11   8  11   7  17   7  0.383827     98/100     NonOverlappingTemplate
  9   4  13  10   7  15  17   9   9   7  0.122325    100/100     NonOverlappingTemplate
 10   9  10   8   8  14   9   9   9  14  0.883171    100/100     NonOverlappingTemplate
 11  11  12   5  15   9   4  11  10  12  0.366918     99/100     NonOverlappingTemplate
 12   7   8  11   8  13   7  10  11  13  0.834308     99/100     NonOverlappingTemplate
  7  10  10  12  13  12  12  15   6   3  0.213309     99/100     NonOverlappingTemplate
 11   3  15   6  10  11  10  12  11  11  0.366918     98/100     NonOverlappingTemplate
 10  12   6  14  13  11  11   8   3  12  0.319084     98/100     NonOverlappingTemplate
  8   9  11  10  13   8   8  13  12   8  0.911413     99/100     NonOverlappingTemplate
 12   6  14   6   6  10   7  14  11  14  0.275709    100/100     NonOverlappingTemplate
 11  12  13   5  13  10  10  12   5   9  0.554420     99/100     NonOverlappingTemplate
 20  13  10   6  10  11   7   6  10   7  0.066882     99/100     NonOverlappingTemplate
  6  12   8  14  11  10   8  14   8   9  0.678686    100/100     NonOverlappingTemplate
  9  14  11   9  11   9   8  13   8   8  0.897763     98/100     NonOverlappingTemplate
  7  11   6  13  10  13  16  12   4   8  0.191687     99/100     NonOverlappingTemplate
  7  11  10  14  12  12   8  12   8   6  0.719747     99/100     NonOverlappingTemplate
  9  15   9   5   3  13  13   7  13  13  0.102526    100/100     NonOverlappingTemplate
 14   7   9  11   8  14   6   8  11  12  0.616305    100/100     NonOverlappingTemplate
 11  18  10   4   8  10  15   5   9  10  0.075719    100/100     NonOverlappingTemplate
 12   7  12  15   7   6   8  10  11  12  0.574903     99/100     NonOverlappingTemplate
 10  11  14  13   4   8   9  11  11   9  0.637119     98/100     NonOverlappingTemplate
 12   8   7  13   9  12  12   7  10  10  0.883171     98/100     NonOverlappingTemplate
 11   8  13  15  12   8   6   8  14   5  0.289667    100/100     NonOverlappingTemplate
  6  11  10  10   8   9  11   9  14  12  0.883171    100/100     NonOverlappingTemplate
  6  18   9  10   8   7   8   5  13  16  0.051942    100/100     NonOverlappingTemplate
 10  11   6  16   9   5  13  13   8   9  0.334538     99/100     NonOverlappingTemplate
  8  13  12   9  12   4  11   8  12  11  0.657933    100/100     NonOverlappingTemplate
  8   8  10  10  16  14  13   6   5  10  0.275709     99/100     NonOverlappingTemplate
  9  13  10   9  13   8   7  14   9   8  0.798139    100/100     NonOverlappingTemplate
  9  11  11  10   7   8   6  12  16  10  0.616305    100/100     NonOverlappingTemplate
  9   9  13   5   6   9  10  12  18   9  0.202268     99/100     NonOverlappingTemplate
 14  12  10  11   7   7  10  13  11   5  0.595549     99/100     NonOverlappingTemplate
 15   6   6  13   9   6  11   7  13  14  0.224821     98/100     NonOverlappingTemplate
 11  11  15   9  10   5   6  11  11  11  0.616305     99/100     NonOverlappingTemplate
  5   9  10   7   7  14  12  14  12  10  0.494392     98/100     NonOverlappingTemplate
  7  12  10  16  12   9   6  12   8   8  0.514124     99/100     NonOverlappingTemplate
 10   8   7  13   3  16  15  10   8  10  0.137282     99/100     NonOverlappingTemplate
  6   8  16  10  11  12  15   5  10   7  0.213309    100/100     NonOverlappingTemplate
  8   7  11  10  15   9  15   4  10  11  0.334538     98/100     NonOverlappingTemplate
 10  12  13  16   8  11   4  12   6   8  0.249284     97/100     NonOverlappingTemplate
 13   4  12   9  11  14  10  12  10   5  0.383827    100/100     NonOverlappingTemplate
  7  13  13  13  11  15  10   8   4   6  0.224821    100/100     NonOverlappingTemplate
  5  11   7   9   8  12   9  15   6  18  0.090936     99/100     NonOverlappingTemplate
 12  16  11   7  11  10   5  10   7  11  0.474986    100/100     NonOverlappingTemplate
  6   7  10  16  10   7  17  13   8   6  0.096578    100/100     NonOverlappingTemplate
 16  11   9  10  10  10  10  10   7   7  0.779188     98/100     NonOverlappingTemplate
  9  14   9  10  10   7   7  12  11  11  0.897763    100/100     NonOverlappingTemplate
  9  10  13   6   8  16   6   6   8  18  0.055361    100/100     NonOverlappingTemplate
  7  12   7  13   6  10  12   9   8  16  0.419021    100/100     NonOverlappingTemplate
 13   2  13  12   8  11  12   8  11  10  0.350485     99/100     NonOverlappingTemplate
 11  11   8  15  11   6   7  13  11   7  0.574903     97/100     NonOverlappingTemplate
  8  15   7  17   5  11   9  10  11   7  0.191687    100/100     NonOverlappingTemplate
 10   8   9   7  10  13  11  11  14   7  0.834308    100/100     NonOverlappingTemplate
 10  15  12   7   4  13  18   6   7   8  0.040108     99/100     NonOverlappingTemplate
  7   9  10  10   7   8  15   7  13  14  0.514124     99/100     NonOverlappingTemplate
  7   5  15   7   8  11  12   9  11  15  0.319084     99/100     NonOverlappingTemplate
 11  10   7   9  10  12  12  12   8   9  0.971699     99/100     NonOverlappingTemplate
  8  12  17   8   9  10  13   8   7   8  0.455937    100/100     NonOverlappingTemplate
 13   7   9  11   9  11   6  13  12   9  0.816537     98/100     NonOverlappingTemplate
 15  10  10   9  13  10  13  11   1   8  0.162606     98/100     NonOverlappingTemplate
 13  11   7   9   8   8  15   6  12  11  0.595549     96/100     NonOverlappingTemplate
  6  17   8  12  13   5  12   6  10  11  0.171867    100/100     NonOverlappingTemplate
  6   7   6  14   9   7  13  11  16  11  0.249284    100/100     NonOverlappingTemplate
 11  13  13  16  10   7   6   9   5  10  0.304126    100/100     NonOverlappingTemplate
 11   7   9   8  10   8   8  10  15  14  0.699313    100/100     NonOverlappingTemplate
  9  11  15   7   4  11  13  12   7  11  0.383827     99/100     NonOverlappingTemplate
 14   9   8  12   9  11   8  11   4  14  0.494392     99/100     NonOverlappingTemplate
 10  10  14   6  13   7   8  14   9   9  0.616305    100/100     NonOverlappingTemplate
 13  10  14   7  10   7  18   5  10   6  0.096578     98/100     NonOverlappingTemplate
 10  17  11   8   7   8  11  11  12   5  0.366918     99/100     NonOverlappingTemplate
 11  11  14  11  10  11   7   6   7  12  0.759756    100/100     NonOverlappingTemplate
 12  10   9   9   9  12   9  12  10   8  0.991468     97/100     NonOverlappingTemplate
  9   9  11   8  11  16   9  11  10   6  0.719747     98/100     NonOverlappingTemplate
 11  13   6  10  11  10   6   7  14  12  0.616305     99/100     NonOverlappingTemplate
 14   8  11   9   7  11   9   6  10  15  0.595549     99/100     NonOverlappingTemplate
  6  12  10   8  12  16   6  17   6   7  0.080519    100/100     NonOverlappingTemplate
  9  11  10   9  10  13  13   7   8  10  0.946308     99/100     NonOverlappingTemplate
  9  14  10   9  14   9  10  14   8   3  0.319084    100/100     NonOverlappingTemplate
 13  11  16  10  12   3  11   9  13   2  0.042808     99/100     NonOverlappingTemplate
 12   7  12  17   6   9  14   8   6   9  0.213309     99/100     NonOverlappingTemplate
 13  14   9  10   8   8  11   5  10  12  0.699313     97/100     NonOverlappingTemplate
 12  10   8  10   8  11  13  10  13   5  0.779188    100/100     NonOverlappingTemplate
 12   9  11  15  11  10   9  10   4   9  0.637119    100/100     NonOverlappingTemplate
 10   7   7  10  10   9   6  12  19  10  0.213309     98/100     NonOverlappingTemplate
  7   8  12  14   8  15  10  11  10   5  0.455937    100/100     NonOverlappingTemplate
 12  13   6  10   9  10  12  10   8  10  0.924076     99/100     NonOverlappingTemplate
  8   7  14   8  11  10   9  10  15   8  0.699313     99/100     NonOverlappingTemplate
 10  15   6   8  11   9  11  12   9   9  0.798139     98/100     NonOverlappingTemplate
  9  12  10   9  11   6  10  15   8  10  0.816537    100/100     NonOverlappingTemplate
 11  17   9   7  14  13   6   5   8  10  0.162606     97/100     NonOverlappingTemplate
 10   6   7   9  11  11   7  12  12  15  0.637119    100/100     NonOverlappingTemplate
 13   6  12  14  10  11  10   8  10   6  0.678686    100/100     NonOverlappingTemplate
 14  10  11   6  11   7  10  12   9  10  0.851383     99/100     NonOverlappingTemplate
  3  14   9  10  11   7  14  10  10  12  0.383827    100/100     NonOverlappingTemplate
 11   9   6   8  11  14  13  11   8   9  0.798139     99/100     NonOverlappingTemplate
 13   8   7  13   4   9   8   9  17  12  0.181557     97/100     NonOverlappingTemplate
  7   8  10  11   9  14  16   7   9   9  0.554420    100/100     NonOverlappingTemplate
 15  10  13  11  12   7   7   9   9   7  0.657933     97/100     NonOverlappingTemplate
 12   5   9  10  14   5  11   8  13  13  0.401199    100/100     NonOverlappingTemplate
  7   9  13   7  12   9  10  12  13   8  0.834308     99/100     NonOverlappingTemplate
  9  12   9   9   8  12   9  15   8   9  0.867692    100/100     NonOverlappingTemplate
 13   8  12  10   4   7  13   9  14  10  0.455937    100/100     NonOverlappingTemplate
  8  13  11  12  10  11  12   4  10   9  0.739918    100/100     NonOverlappingTemplate
 11  12   7   7  12  11   8  12   9  11  0.924076     99/100     NonOverlappingTemplate
 10  10   9  15  12   9  11  11   4   9  0.637119     96/100     NonOverlappingTemplate
 12   9   6  12  13  14   6   7   9  12  0.534146     97/100     NonOverlappingTemplate
  8  13  10  13  10  10   9   9   7  11  0.946308    100/100     NonOverlappingTemplate
 12  11  12  10  14   9  11   7   6   8  0.779188     98/100     NonOverlappingTemplate
 13  17  11   8   8  13  13  10   4   3  0.048716    100/100     NonOverlappingTemplate
 10   8  11   9   6   7  11  13  13  12  0.798139    100/100     NonOverlappingTemplate
  8   7  10  13  14   5  12   8  12  11  0.574903     99/100     NonOverlappingTemplate
 15   8  14   6   6  12   7  11  10  11  0.419021    100/100     NonOverlappingTemplate
 14  11  10   7  14   9   4   5  13  13  0.202268     98/100     NonOverlappingTemplate
 13   6   7  11  16  10  10  10   5  12  0.350485     99/100     NonOverlappingTemplate
  7  12   6  11  11  14  12   9   8  10  0.779188     99/100     NonOverlappingTemplate
  9  10   5  11  14   8  10   9   8  16  0.455937     98/100     NonOverlappingTemplate
 11  10  15  14   6   6   6  10  14   8  0.275709     96/100     NonOverlappingTemplate
 10  10  10  14  12   8   9   9  12   6  0.867692     96/100     NonOverlappingTemplate
 10  12  13  12  11  10   9   8   6   9  0.911413    100/100     NonOverlappingTemplate
 16  11   9  10  10  10  10   9   8   7  0.816537     98/100     NonOverlappingTemplate
 12  12  12   7   4  10  10  11  11  11  0.739918     99/100     OverlappingTemplate
  5   7  11  13  10   6  11  16  14   7  0.202268    100/100     Universal
 12  15   9  11   8  11   7   7   9  11  0.779188    100/100     ApproximateEntropy
  7  11   8   7   9   7  16   9   9   3  0.162606     85/86      RandomExcursions
 10  11   8   8   9   9   6   6   7  12  0.834308     85/86      RandomExcursions
 11   6   6   8  12   6   6  12   7  12  0.414525     85/86      RandomExcursions
  9  14   6   9   7   5   7   6  10  13  0.293235     85/86      RandomExcursions
  8   7  10  13  10   5   9  11   7   6  0.611108     86/86      RandomExcursions
 13  11   7   6   7   8   6  11  10   7  0.611108     85/86      RandomExcursions
 13  12  11  12   8  10   3   4   5   8  0.090936     85/86      RandomExcursions
 13   6   5  10  10   5   8   9   6  14  0.213309     84/86      RandomExcursions
  5  11  10   7  10   9   8   6   9  11  0.811993     84/86      RandomExcursionsVariant
  8   6  12   8   6  11   8  16   6   5  0.131500     85/86      RandomExcursionsVariant
  9   6   7  11  11  13   3  11   7   8  0.311542     86/86      RandomExcursionsVariant
 11   5   8   3  13  11  13   8   9   5  0.122325     85/86      RandomExcursionsVariant
 10   9   3  11  11   8   8   6   9  11  0.559523     86/86      RandomExcursionsVariant
 10   6   9  10   5   9   9  10   9   9  0.927083     85/86      RandomExcursionsVariant
  9   8  10   8   6   6  11   8  11   9  0.911413     84/86      RandomExcursionsVariant
 13   8   9   6  12  11   5   5   5  12  0.199580     84/86      RandomExcursionsVariant
 18   7  11   6   4   5  12  10  10   3  0.005166     86/86      RandomExcursionsVariant
  7   8   9   5   4  12   7  10  12  12  0.350485     85/86      RandomExcursionsVariant
 11  14   4   5   7   7   8   5   9  16  0.032381     86/86      RandomExcursionsVariant
 14   5   9   3   8   7   9  11  11   9  0.242986     85/86      RandomExcursionsVariant
 14   5   7   5   3   8   6   7  14  17  0.002707     85/86      RandomExcursionsVariant
 11   8   9   3  10   6  12  10   9   8  0.534146     85/86      RandomExcursionsVariant
 14   8   6   9   9   2  11  10   4  13  0.057146     85/86      RandomExcursionsVariant
 13   6   8   9   9  11   5   5  11   9  0.484646     85/86      RandomExcursionsVariant
 12   8   7  10   7   6  11   6  10   9  0.788728     86/86      RandomExcursionsVariant
 13   9   6   9   7   4  11   8   8  11  0.509162     86/86      RandomExcursionsVariant
  8  13   8   9   9  13  11   9  10  10  0.964295     99/100     Serial
  9   8   8  13   7  12  16   6   9  12  0.455937    100/100     Serial
 11   9  10  11  12   7  14   7  11   8  0.867692     99/100     LinearComplexity


- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The minimum pass rate for each statistical test with the exception of the
random excursion (variant) test is approximately = 96 for a
sample size = 100 binary sequences.

The minimum pass rate for the random excursion (variant) test
is approximately = 82 for a sample size = 86 binary sequences.

For further guidelines construct a probability table using the MAPLE program
provided in the addendum section of the documentation.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
------------------------------------------------------------------------------
RESULTS FOR THE UNIFORMITY OF P-VALUES AND THE PROPORTION OF PASSING SEQUENCES
------------------------------------------------------------------------------
   generator is <../512N_730809286.bin>
------------------------------------------------------------------------------
 C1  C2  C3  C4  C5  C6  C7  C8  C9 C10  P-VALUE  PROPORTION  STATISTICAL TEST
------------------------------------------------------------------------------
 10   8  10   7   9  11  12  12   6  15  0.699313     98/100     Frequency
 12  12   9   8  11  10   4  11  12  11  0.779188     99/100     BlockFrequency
 11  13   7  10   7   7   8  11  19   7  0.153763     98/100     CumulativeSums
 12   7  10   7   9   9  15  14   6  11  0.514124     98/100     CumulativeSums
 13  11  12  13  10   8  10   5  10   8  0.779188    100/100     Runs
 12  15   9  12   8  10  13   2  14   5  0.085587    100/100     LongestRun
 16   7   6  12  11  18   3  12  10   5  0.013569     97/100     Rank
  8  15   6  11   9  11  11   9   7  13  0.657933    100/100     FFT
  8  19   7   9  10  11   8  12  10   6  0.213309     99/100     NonOverlappingTemplate
 15   4   9  12   7   7  14  10  11  11  0.334538     97/100     NonOverlappingTemplate
 14   6  10   7  11   8  12  10   6  16  0.334538     98/100     NonOverlappingTemplate
 11   5  13   9  10   7  10  13  13   9  0.699313    100/100     NonOverlappingTemplate
  7  12   6  12  11  15   8   6  14   9  0.383827     99/100     NonOverlappingTemplate
 13  11  11   5   9   9  11   9  13   9  0.834308     96/100     NonOverlappingTemplate
  6  13  10   8   6   9  14   9  11  14  0.534146    100/100     NonOverlappingTemplate
  7  11  11   5   7   6  12  10  15  16  0.181557     98/100     NonOverlappingTemplate
  9  13  10  13   9  10   9   9  10   8  0.978072     98/100     NonOverlappingTemplate
 11  10   9   9   5  13  21   5   9   8  0.026948     99/100     NonOverlappingTemplate
  6   9  13   9   5  13  12   6   9  18  0.102526    100/100     NonOverlappingTemplate
 12  12   6   8  14   9   8  15   8   8  0.514124    100/100     NonOverlappingTemplate
  8   8   8  15  11   9  12   9  11   9  0.867692    100/100     NonOverlappingTemplate
 13  13   8   8   9  12   5  11   8  13  0.637119     99/100     NonOverlappingTemplate
 11  11  10   8   7   9   7  15  13   9  0.739918    100/100     NonOverlappingTemplate
 12  10   7  12   9   6   9  14   8  13  0.699313     99/100     NonOverlappingTemplate
 10   7  11   6   9  12  14  11   8  12  0.779188    100/100     NonOverlappingTemplate
  5  16  16   8   7   8   8   8  12  12  0.162606    100/100     NonOverlappingTemplate
 10  10  11  10   9   8  10  16   8   8  0.834308    100/100     NonOverlappingTemplate
  7  15   6   9  11  11  11   5  13  12  0.419021     98/100     NonOverlappingTemplate
  7   9  15   9   9  10  11  10   8  12  0.867692    100/100     NonOverlappingTemplate
 11  10   8   8  14   7   8  12  12  10  0.867692     99/100     NonOverlappingTemplate
 10   8  10   9   9  13   8   8  12  13  0.935716     99/100     NonOverlappingTemplate
  8  13   7  12   8   7  11  14   7  13  0.595549    100/100     NonOverlappingTemplate
  4  13  11  17  11  10   9   8   6  11  0.224821     99/100     NonOverlappingTemplate
 13   5  16   6   6  20   8  10   7   9  0.010237     98/100     NonOverlappingTemplate
  5  18  11   5   9  12  14   8   8  10  0.108791    100/100     NonOverlappingTemplate
 12   9   7  12  12   9  11   8  16   4  0.350485     98/100     NonOverlappingTemplate
  7  16  10   8  13   9  12  10   6   9  0.534146     98/100     NonOverlappingTemplate
 10   7  11  15   9   8   8   7  13  12  0.678686     99/100     NonOverlappingTemplate
 11   9   9  11  12   4   8  15   7  14  0.366918    100/100     NonOverlappingTemplate
 10  13   5  12  10  12  12  10  10   6  0.719747    100/100     NonOverlappingTemplate
  6  12  13   9  14  11  12   9   3  11  0.334538     99/100     NonOverlappingTemplate
 12  12  11  13   8  13   9  11   6   5  0.595549     98/100     NonOverlappingTemplate
  9  16  13   8  10  10  12   8   8   6  0.554420    100/100     NonOverlappingTemplate
 17   8   5  11   9  11  11  12   9   7  0.383827     97/100     NonOverlappingTemplate
  9  14   9   9  10  10  11  11   6  11  0.924076    100/100     NonOverlappingTemplate
 12  10   7   7  11  11   6  13  13  10  0.759756     98/100     NonOverlappingTemplate
 10   9  13  11   7  12  10   6   8  14  0.739918     99/100     NonOverlappingTemplate
  4  11  10  19   5  12  11  12   9   7  0.062821     99/100     NonOverlappingTemplate
 15  13  11  12  12  11  10   5   4   7  0.249284     99/100     NonOverlappingTemplate
 14  13   8  17  12  10  11   5   6   4  0.066882     99/100     NonOverlappingTemplate
  9   7  12  11  11  10  12   8  10  10  0.983453    100/100     NonOverlappingTemplate
  8   9  15  12  10   6  11  11   6  12  0.616305     98/100     NonOverlappingTemplate
 14   9  10  10  11   6   5  13  12  10  0.616305    100/100     NonOverlappingTemplate
 10  16   2  10   7   8  16  12   9  10  0.080519    100/100     NonOverlappingTemplate
 10   9   7   8  17   7  11  13   9   9  0.494392     99/100     NonOverlappingTemplate
  6  11  12   6  10  11  11  11   7  15  0.595549     99/100     NonOverlappingTemplate
  7  10  12  12   7  10  11  15   7   9  0.719747    100/100     NonOverlappingTemplate
 11  10  10  12   8  10  12  12   7   8  0.964295     99/100     NonOverlappingTemplate
  9   9  12   9   7  11  12   9   9  13  0.955835    100/100     NonOverlappingTemplate
  8  14   8   9  10  12  13   7   8  11  0.816537     98/100     NonOverlappingTemplate
  9   6  14  14   6   6   6   9  16  14  0.090936    100/100     NonOverlappingTemplate
 10  12   8   9   6  11  15  11   8  10  0.779188     99/100     NonOverlappingTemplate
  8  12  13   9   6   9  14   6  11  12  0.616305    100/100     NonOverlappingTemplate
 13   9  12  11  14   9   7  12   8   5  0.595549     98/100     NonOverlappingTemplate
  4  14   8  10  15  12  10   5  12  10  0.249284    100/100     NonOverlappingTemplate
 14  12   9  11   6  10   6  10  14   8  0.595549     98/100     NonOverlappingTemplate
  6  14   8   9   9  13  10  11   9  11  0.834308     99/100     NonOverlappingTemplate
 10  12   9  10  12  12   6   6  12  11  0.834308    100/100     NonOverlappingTemplate
  6  12   5  12  11   8  15   9  12  10  0.494392    100/100     NonOverlappingTemplate
  8   8  11   8  12   8  15  14   7   9  0.616305     98/100     NonOverlappingTemplate
 10  12  14   6  13  14   5  11   9   6  0.319084     98/100     NonOverlappingTemplate
  7   6  11  12   9   9  15   8   9  14  0.554420     99/100     NonOverlappingTemplate
 16  10   9  10   3  11   6   9  14  12  0.191687    100/100     NonOverlappingTemplate
  7   7  11   9  10  12  13  10  10  11  0.946308    100/100     NonOverlappingTemplate
 14  12   6   5   6  16   9  12  12   8  0.181557     98/100     NonOverlappingTemplate
 10   9   8  10  11   8  13   6  12  13  0.851383    100/100     NonOverlappingTemplate
 13   9   5  10   8   9  13   7  14  12  0.554420     99/100     NonOverlappingTemplate
  5   7   9   9  10  11   4  18  15  12  0.055361     99/100     NonOverlappingTemplate
 13   9   8  11   7  14   7  12   9  10  0.798139    100/100     NonOverlappingTemplate
 11  11   9   8   8  13  13  11   9   7  0.911413    100/100     NonOverlappingTemplate
  9   7   8   9   8  13   9  12  10  15  0.759756     99/100     NonOverlappingTemplate
 15   9  12   6   7  11  11  12   8   9  0.678686     99/100     NonOverlappingTemplate
  8  19   7   9  10  11   8  12  10   6  0.213309     99/100     NonOverlappingTemplate
  8  11   8   9  12   5  13  12  10  12  0.779188     98/100     NonOverlappingTemplate
 10   5  11  10  11   7  13  14  10   9  0.719747    100/100     NonOverlappingTemplate
  9  10  14   6   8  11  10   8  14  10  0.759756    100/100     NonOverlappingTemplate
  6  15   8  12  11  13   7   9   7  12  0.514124     97/100     NonOverlappingTemplate
 11   9  10   9   7  12  10  11   8  13  0.964295     98/100     NonOverlappingTemplate
 10   8  11  16   8  12   9  10   5  11  0.574903     99/100     NonOverlappingTemplate
 12  16  16   9  10   4   9   9   6   9  0.153763    100/100     NonOverlappingTemplate
 10  13  10   9   8   7  13  13   9   8  0.867692    100/100     NonOverlappingTemplate
  8   8   6  13   9  12   9  10  14  11  0.779188     99/100     NonOverlappingTemplate
  8  12  10   8  14  10   9  10  12   7  0.897763    100/100     NonOverlappingTemplate
 12  13   4  13  11   9   6  14   8  10  0.383827     99/100     NonOverlappingTemplate
 13   9   5  12  11   5   6  14  13  12  0.275709     99/100     NonOverlappingTemplate
  6  12   6  14   9   6  14  13  14   6  0.181557     98/100     NonOverlappingTemplate
  8  12  13   9  11   7  16   7   8   9  0.554420     98/100     NonOverlappingTemplate
  6  10  11   9   9  10  15  10   8  12  0.816537    100/100     NonOverlappingTemplate
  9  11  11  13   8  10   9  12  10   7  0.964295     99/100     NonOverlappingTemplate
  4  12  12  15  12  10   8   7   9  11  0.455937     99/100     NonOverlappingTemplate
 10  14   9   7  11  10  13   9   8   9  0.897763     98/100     NonOverlappingTemplate
  7  15  11  11   9  13   9  11   8   6  0.657933    100/100     NonOverlappingTemplate
 12  12   8   9   9  14   3  13  14   6  0.213309     98/100     NonOverlappingTemplate
  7  14  14  14   7   9   9   8   6  12  0.419021     99/100     NonOverlappingTemplate
 13  10  10  14   9   9   7  10  10   8  0.911413    100/100     NonOverlappingTemplate
 13  12   9   9   7  10  10  12  10   8  0.955835    100/100     NonOverlappingTemplate
 13  10   7  13   7  11   4  11  13  11  0.494392     99/100     NonOverlappingTemplate
 15   9  17   5   8   6   4  11  11  14  0.042808     99/100     NonOverlappingTemplate
  5  15  14  10   6  11  13   9  13   4  0.129620    100/100     NonOverlappingTemplate
 12  11   6   8  14  13  11   5   7  13  0.401199     99/100     NonOverlappingTemplate
  9   8   9  10   6  13  15  13  11   6  0.514124    100/100     NonOverlappingTemplate
 11  11   9  11   7  11   7  10  18   5  0.262249     99/100     NonOverlappingTemplate
  9   6  11   7   7   9   7  15  12  17  0.191687    100/100     NonOverlappingTemplate
  4  16   8  11  10   9   4  15  14   9  0.075719    100/100     NonOverlappingTemplate
 12   7  16   8  13   7   7  11   8  11  0.474986     99/100     NonOverlappingTemplate
  6  10  11  11  14  12   7   4  14  11  0.350485     99/100     NonOverlappingTemplate
 14   7  10   7  10   9  11  10  10  12  0.911413    100/100     NonOverlappingTemplate
  4   9  14  16  13   7  13   7   6  11  0.115387     99/100     NonOverlappingTemplate
 14   5  11  13   7  11   8  16   8   7  0.249284     99/100     NonOverlappingTemplate
  8  14   8  14   4   7  11  11  12  11  0.419021    100/100     NonOverlappingTemplate
 13  10   9   8   7   8  11  15  11   8  0.759756     99/100     NonOverlappingTemplate
  9  16   8  14   4   8  15   8  10   8  0.162606    100/100     NonOverlappingTemplate
 11   7  13   7  10  15  12   9   7   9  0.657933     98/100     NonOverlappingTemplate
 10   8  20  16   9   9   6   8   8   6  0.032923     99/100     NonOverlappingTemplate
  6  10   7  13  11  13  11  14   9   6  0.554420    100/100     NonOverlappingTemplate
  5   9  10  14  11  12  12   8   6  13  0.534146    100/100     NonOverlappingTemplate
 10   7  12   8  12   5  10  11  11  14  0.699313    100/100     NonOverlappingTemplate
  8  12  12  13  10   9  11   5  11   9  0.834308    100/100     NonOverlappingTemplate
  8   9   9   7  13  12   9   9   8  16  0.637119    100/100     NonOverlappingTemplate
  7   9  10   6   6  14  16  12  11   9  0.350485    100/100     NonOverlappingTemplate
  7   8  12  10  10   8   9  16  10  10  0.759756     98/100     NonOverlappingTemplate
 10   6  10   9   9  14   9  13   9  11  0.867692     99/100     NonOverlappingTemplate
  4   6  11   7   8  11  16  14  17   6  0.030806     99/100     NonOverlappingTemplate
 16   8   6   8   5  13   4  20  14   6  0.001895    100/100     NonOverlappingTemplate
  8   6   8   9  11  12   7  16   9  14  0.419021    100/100     NonOverlappingTemplate
  8   6  15  11  15  12   8   9   7   9  0.437274    100/100     NonOverlappingTemplate
  6  13   8  10   9  17  16   7   4  10  0.066882     99/100     NonOverlappingTemplate
 10   9  12  11  12   4  11   7  12  12  0.699313    100/100     NonOverlappingTemplate
  8   9   9   7  11  10   7  15  11  13  0.739918    100/100     NonOverlappingTemplate
 10  20  12  10   9   7  13   8   4   7  0.045675     98/100     NonOverlappingTemplate
 15   4   9   9   9  13  11   9   9  12  0.534146     98/100     NonOverlappingTemplate
 16   7  10   8   7  11  14   5  10  12  0.319084     98/100     NonOverlappingTemplate
 10   7   8  11   9   3  17  13  11  11  0.191687     98/100     NonOverlappingTemplate
 13  12   9   9   6  10  10  10  10  11  0.955835     99/100     NonOverlappingTemplate
  7  12   9   5   9  11  11  12   9  15  0.616305     99/100     NonOverlappingTemplate
 11  10  12  12   7   2  13  10  13  10  0.350485    100/100     NonOverlappingTemplate
  5  12   9   6  14   9   6  12  11  16  0.213309    100/100     NonOverlappingTemplate
  6  17  14   9  13  13   2   9   7  10  0.042808     99/100     NonOverlappingTemplate
  5  16  11   4  16  10  11   9  13   5  0.048716     98/100     NonOverlappingTemplate
 11   5   9  11   5  16   8  13  12  10  0.304126     99/100     NonOverlappingTemplate
  8  11  14   9  11  13   6  15   9   4  0.275709     99/100     NonOverlappingTemplate
 13  12   7  12   8  13   6  10   7  12  0.657933     99/100     NonOverlappingTemplate
 11  11   9   8  11   7  15   8   9  11  0.851383     96/100     NonOverlappingTemplate
  6  12   8   6   9  18   9   9  12  11  0.262249     98/100     NonOverlappingTemplate
 10   9  12   8  13  14  10  11   5   8  0.699313     99/100     NonOverlappingTemplate
 15   9  12   6   7  11  11  12   8   9  0.678686     99/100     NonOverlappingTemplate
 15   6  12   8  10  11   9   6  11  12  0.616305     97/100     OverlappingTemplate
  7  11   9  11   8  10  11  16  10   7  0.719747     99/100     Universal
 15   9  17   9   4   7  11  12  10   6  0.115387     98/100     ApproximateEntropy
 11   8   9   9   8   3  13   8   8  11  0.460664     87/88      RandomExcursions
 11   7  10  11   6  10   7   8   5  13  0.509162     88/88      RandomExcursions
  9   6  10   8  11  10   8  11   9   6  0.875539     85/88      RandomExcursions
 10   6   7  10   7  10   8  10  12   8  0.855534     87/88      RandomExcursions
 10  12  12   5   6   7   8   8  11   9  0.585209     85/88      RandomExcursions
 10   8   7   7   9  14   9  12   6   6  0.484646     87/88      RandomExcursions
 15   4  12   8   9  11   6   9  10   4  0.105618     87/88      RandomExcursions
  8  10  10   4  11  14   4  10  11   6  0.174249     87/88      RandomExcursions
  9  10   9   6   7   8   7   9  11  12  0.855534     87/88      RandomExcursionsVariant
 10   9  11   4   9   6   6  16   9   8  0.162606     87/88      RandomExcursionsVariant
 11   8   8   8  11   7   8  13   9   5  0.663130     87/88      RandomExcursionsVariant
 10   9   9  13  11   7   8  10   5   6  0.611108     87/88      RandomExcursionsVariant
 11   5  12  12  13   8   8   4  10   5  0.162606     86/88      RandomExcursionsVariant
 10   9   4   9  11  18   8   6   9   4  0.025193     86/88      RandomExcursionsVariant
 11   3  10   7   8   9  10   8  10  12  0.534146     85/88      RandomExcursionsVariant
 10   8  11   8   8   6   8   7  12  10  0.855534     86/88      RandomExcursionsVariant
  8  11  13   8  11   9   8   7   4   9  0.559523     86/88      RandomExcursionsVariant
  9   8   9   4   7  10  14   8  14   5  0.162606     85/88      RandomExcursionsVariant
 13   6  11   6   8   4   6  11  12  11  0.213309     87/88      RandomExcursionsVariant
 14  10   6   6   9   7   7  12   8   9  0.484646     87/88      RandomExcursionsVariant
 14   7   7  10   7  12  12   8   6   5  0.275709     85/88      RandomExcursionsVariant
 17   6   5  10   5  14   9  10   3   9  0.009706     86/88      RandomExcursionsVariant
 16   8   7   6  10   8   5   8   7  13  0.141256     85/88      RandomExcursionsVariant
 15   4  12   9   9   5   7  11   9   7  0.162606     85/88      RandomExcursionsVariant
 12  10   9  10  12   7   6   3   8  11  0.350485     86/88      RandomExcursionsVariant
 13   7  11  12   7   7   7  11   1  12  0.066882     86/88      RandomExcursionsVariant
 10   9   7  14  14  11  10   7  12   6  0.616305    100/100     Serial
 11   9   9   9  13  11   7  13   7  11  0.897763    100/100     Serial
  9   6  11  12  11   8  13  10  11   9  0.924076     99/100     LinearComplexity


- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The minimum pass rate for each statistical test with the exception of the
random excursion (variant) test is approximately = 96 for a
sample size = 100 binary sequences.

The minimum pass rate for the random excursion (variant) test
is approximately = 84 for a sample size = 88 binary sequences.

For further guidelines construct a probability table using the MAPLE program
provided in the addendum section of the documentation.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

*.. an amazonian butterfly flaps his wings ..*

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Breeze_LICENSE.txt		Breeze_LICENSE.txt
README.md		README.md
_breeze._go		_breeze._go
breeze.go		breeze.go
breeze.pdf		breeze.pdf
csrand.go		csrand.go
sipHash.go		sipHash.go

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