1. Purpose
Commons RNG provides generators of "pseudo-randomness", i.e. the generators produce deterministic sequences of bytes, currently in chunks of 32 (a.k.a. int) or 64 bits (a.k.a. long), depending on the implementation.
The goal was to provide an API that is simple and unencumbered with old design decisions.
The design is clean and its rationale is explained in the code and Javadoc (as well as in the extensive discussions on the "Apache Commons" project's mailing list).
The code evolved during several months in order to accommodate the requirements gathered from the design issues identified in the org.apache.commons.math3.random package and the explicit design goal of severing ties to java.util.Random.
The library is divided into modules:
- Client API (requires Java 6)
This module provides the interface to be passed as argument to a procedure that needs to access to a sequence of random numbers.
- Core (requires Java 6)
This module contains the implementations of several generators of pseudo-random sequences of numbers. Code in this module is intended to be internal to this library and no user code should access it directly. With the advent of Java modularization, it is possible that future releases of the library will enforce access through the RandomSource factory.
- Simple (requires Java 6)
This module provides factory methods for creating instances of all the generators implemented in the commons-rng-core module.
- Sampling (requires Java 6)
This module provides implementations that generate a sequence of numbers according to some specified probability distribution, and utilities to sample from a generic collection of items. It is an example of usage of the API provided in the commons-rng-client-api module.
- Examples
This module provides miscellaneous complete applications that illustrate usage of the library. Please note that this module is not part of the library's API; no compatibility should be expected in successive releases of "Commons RNG".
As of version 1.1, the following modules are provided:
- examples-jmh: JMH benchmarking (requires Java 8)
This module uses the JMH micro-benchmark framework in order to assess the relative performance of the generators (see tables below).
- examples-stress: Stress testing (requires Java 8)
This module implements a wrapper that calls external tools that can assess the quality of the generators by submitting their output to a battery of "stress tests" (see tables below).
- examples-sampling: Probability density (requires Java 8)
This module contains the code that generates the data used to produce the probability density plots shown in this userguide.
- examples-jpms: JPMS integration (requires Java 9)
This module implements a dummy application that shows how to use the artefacts (produced from the maven modules described above) as Java modules (JPMS).
- examples-quadrature: Quadrature (requires Java 8)
This module contains an application that estimates the number 𝞹 using quasi-Montecarlo integration.
2. Usage overview
Please refer to the generated documentation (of the appropriate module) for details on the API illustrated by the following examples.
- Random number generator objects are instantiated through factory methods defined in RandomSource, an enum that declares all the available implementations.
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
UniformRandomProvider rng = RandomSource.create(RandomSource.MT);
- A generator will return a randomly selected element from a range of possible values of some Java (primitive) type.
boolean isOn = rng.nextBoolean(); // "true" or "false".
int n = rng.nextInt(); // Integer.MIN_VALUE <= n <= Integer.MAX_VALUE.
int m = rng.nextInt(max); // 0 <= m < max.
long n = rng.nextLong(); // Long.MIN_VALUE <= n <= Long.MAX_VALUE.
long m = rng.nextLong(max); // 0 <= m < max.
float x = rng.nextFloat(); // 0 <= x < 1.
double x = rng.nextDouble(); // 0 <= x < 1.
- A generator will fill a given byte array with random values.
byte[] a = new byte[47];
// The elements of "a" are replaced with random values from the interval [-128, 127].
rng.nextBytes(a);
byte[] a = new byte[47];
// Replace 3 elements of the array (at indices 15, 16 and 17) with random values.
rng.nextBytes(a, 15, 3);
- In order to generate reproducible sequences, generators must be instantiated with a user-defined seed.
UniformRandomProvider rng = RandomSource.create(RandomSource.SPLIT_MIX_64, 5776);
If no seed is passed, a random seed is generated implicitly.
Convenience methods are provided for explicitly generating random seeds of the various types.
int seed = RandomSource.createInt();
long seed = RandomSource.createLong();
int[] seed = RandomSource.createIntArray(128); // Length of returned array is 128.
long[] seed = RandomSource.createLongArray(128); // Length of returned array is 128.
- Any of the following types can be passed to the create method as the "seed" argument:
- int or Integer
- long or Long
- int[]
- long[]
- byte[]
UniformRandomProvider rng = RandomSource.create(RandomSource.ISAAC, 5776);
UniformRandomProvider rng = RandomSource.create(RandomSource.ISAAC, new int[] { 6, 7, 7, 5, 6, 1, 0, 2 });
UniformRandomProvider rng = RandomSource.create(RandomSource.ISAAC, new long[] { 0x638a3fd83bc0e851L, 0x9730fd12c75ae247L });
Note however that, upon initialization, the underlying generation algorithm
- may not use all the information contents of the seed,
- may use a procedure (using the given seed as input) for further filling its internal state (in order to avoid a too uniform initial state).
In both cases, the behaviour is not standard but should not change between releases of the library (bugs notwithstanding).
Each RNG implementation has a single "native" seed; when the seed argument passed to the create method is not of the native type, it is automatically converted. The conversion preserves the information contents but is otherwise not specified (i.e. different releases of the library may use different conversion procedures).
Hence, if reproducibility of the generated sequences across successive releases of the library is necessary, users should ensure that they use native seeds.
long seed =<PHONE_NUMBER>L;
if (!RandomSource.TWO_CMRES.isNativeSeed(seed)) {
throw new IllegalArgumentException("Seed is not native");
}
For each available implementation, the native seed type is specified in the Javadoc.
- Whenever a random source implementation is parameterized, the custom arguments are passed after the seed.
int seed = 96912062;
int first = 7; // Subcycle identifier.
int second = 4; // Subcycle identifier.
UniformRandomProvider rng = RandomSource.create(RandomSource.TWO_CMRES_SELECT, seed, first, second);
In the above example, valid "subcycle identifiers" are in the interval [0, 13].
- The current state of a generator can be saved and restored later on.
import org.apache.commons.rng.RestorableUniformRandomProvider;
import org.apache.commons.rng.RandomProviderState;
RestorableUniformRandomProvider rng = RandomSource.create(RandomSource.WELL_512_A);
RandomProviderState state = rng.saveState();
double x = rng.nextDouble();
rng.restoreState(state);
double y = rng.nextDouble(); // x == y.
- The UniformRandomProvider objects returned from the create methods do not implement the java.io.Serializable interface.
However, users can easily set up a custom serialization scheme if the random source is known at both ends of the communication channel. This would be useful namely to save the state to persistent storage, and restore it such that the sequence will continue from where it left off.
import org.apache.commons.rng.RestorableUniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
import org.apache.commons.rng.core.RandomProviderDefaultState;
RandomSource source = RandomSource.MT_64; // Known source identifier.
RestorableUniformRandomProvider rngOrig = RandomSource.create(source); // Original RNG instance.
// Save and serialize state.
RandomProviderState stateOrig = rngOrig.saveState(rngOrig);
ByteArrayOutputStream bos = new ByteArrayOutputStream();
ObjectOutputStream oos = new ObjectOutputStream(bos);
oos.writeObject(((RandomProviderDefaultState) stateOrig).getState());
// Deserialize state.
ByteArrayInputStream bis = new ByteArrayInputStream(bos.toByteArray());
ObjectInputStream ois = new ObjectInputStream(bis);
RandomProviderState stateNew = new RandomProviderDefaultState((byte[]) ois.readObject());
RestorableUniformRandomProvider rngNew = RandomSource.create(source); // New RNG instance from the same "source".
// Restore original state on the new instance.
rngNew.restoreState(stateNew);
- Generation of random deviates for various distributions.
import org.apache.commons.rng.sampling.distribution.ContinuousSampler;
import org.apache.commons.rng.sampling.distribution.GaussianSampler;
import org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler;
ContinuousSampler sampler = new GaussianSampler(new MarsagliaNormalizedGaussianSampler(RandomSource.create(RandomSource.MT_64)),
45.6, 2.3);
double random = sampler.sample();
import org.apache.commons.rng.sampling.distribution.DiscreteSampler;
import org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler;
DiscreteSampler sampler = new RejectionInversionZipfSampler(RandomSource.create(RandomSource.ISAAC),
5, 1.2);
int random = sampler.sample();
- Permutation, sampling from a Collection and shuffling utilities.
import org.apache.commons.rng.sampling.PermutationSampler;
PermutationSampler sampler = new PermutationSampler(RandomSource.create(RandomSource.KISS),
6, 3);
// 3 elements from a shuffling of the (0, 1, 2, 3, 4, 5) tuplet.
int[] random = sampler.sample();
import java.util.ArrayList;
import org.apache.commons.rng.sampling.CollectionSampler;
ArrayList<String> list = new ArrayList<String>();
list.add("Apache");
list.add("Commons");
list.add("RNG");
CollectionSampler<String> sampler = new CollectionSampler<String>(RandomSource.create(RandomSource.MWC_256),
list, 1);
String word = sampler.sample().get(0);
3. Library layout
The API for client code consists of classes and interfaces defined in package org.apache.commons.rng.
- Interface UniformRandomProvider provides access to a sequence of random values uniformly distributed within some range.
- Interfaces RestorableUniformRandomProvider and RandomProviderState provide the "save/restore" API.
The API for instantiating generators is defined in package org.apache.commons.rng.simple.
- Enum RandomSource determines which algorithm to use for generating the sequence of random values.
The org.apache.commons.rng.simple.internal package contains classes for supporting initialization (a.k.a. "seeding") of the generators. They must not be used directly in applications, as all the necessary utilities are accessible through methods defined in RandomSource.
- ProviderBuilder: contains methods for instantiating the concrete RNG implementations based on the source identifier; it also takes care of calling the appropriate classes for seed type conversion.
- SeedFactory: contains factory methods for generating random seeds.
- SeedConverter: interface for classes that transform between supported seed types.
- Various classes that implement SeedConverter in order to transform from caller's seed to "native" seed.
The org.apache.commons.rng.core package contains the implementation of the algorithms for the generation of pseudo-random sequences. Applications should not directly import or use classes defined in this package: all generators can be instantiated through the RandomSource factory.
- Class RandomProviderDefaultState implements the RandomProviderState interface to enable "save/restore" for all RestorableUniformRandomProvider instances created through the RandomSource factory methods.
- BaseProvider: base class for all concrete RNG implementations; it contains higher-level algorithms nextInt(int n) and nextLong(long n) common to all implementations.
- org.apache.commons.rng.core.util
- NumberFactory: contains utilities for interpreting and combining the output (int or long) of the underlying source of randomness into the requested output, i.e. one of the Java primitive types supported by UniformRandomProvider.
- org.apache.commons.rng.core.source32
- RandomIntSource: describes an algorithm that generates randomness in 32-bits chunks (a.k.a Java int).
- IntProvider: base class for concrete classes that implement RandomIntSource.
- Concrete RNG algorithms that are subclasses of IntProvider.
- org.apache.commons.rng.core.source64
- RandomLongSource: describes an algorithm that generates randomness in 64-bits chunks (a.k.a Java long).
- LongProvider: base class for concrete classes that implement RandomLongSource.
- Concrete RNG algorithms that are subclasses of LongProvider.
4. Performance
This section reports performance benchmarks of the RNG implementations.
All runs were performed on a platform with the following characteristics:
- CPU: Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz
- Java version: 1.8.0_181 (build 1.8.0_181-8u181-b13-2~deb9u1-b13)
- JVM: OpenJDK 64-Bit Server VM (build 25.181-b13, mixed mode)
The following tables indicate the performance (as measured by JMH) for generating
- a sequence of 32-bits integers (a.k.a. Java type int)
- a sequence of 64-bits integers (a.k.a. Java type long)
- a sequence of 64-bits floating point numbers (a.k.a. Java type double)
The first column is the RNG identifier (see RandomSource).
In these tables, lower is better.
- Generating int values
| RNG identifier |
Score (normalized to the score of RandomSource.JDK) |
| SPLIT_MIX_64 |
0.41479 |
| MWC_256 |
0.45309 |
| TWO_CMRES |
0.46736 |
| XOR_SHIFT_1024_S |
0.47100 |
| MT_64 |
0.54314 |
| KISS |
0.59604 |
| ISAAC |
0.65440 |
| MT |
0.70081 |
| WELL_512_A |
0.82333 |
| WELL_1024_A |
0.89367 |
| JDK |
1.00000 |
| WELL_19937_A |
1.06771 |
| WELL_44497_A |
1.08662 |
| WELL_19937_C |
1.13443 |
| WELL_44497_B |
1.17291 |
- Generating long values
| RNG identifier |
Score (normalized to the score of RandomSource.JDK) |
| SPLIT_MIX_64 |
0.21751 |
| TWO_CMRES |
0.25344 |
| XOR_SHIFT_1024_S |
0.27299 |
| MWC_256 |
0.32938 |
| MT_64 |
0.36588 |
| KISS |
0.50416 |
| MT |
0.54819 |
| ISAAC |
0.60151 |
| WELL_1024_A |
0.66864 |
| WELL_512_A |
0.69384 |
| JDK |
1.00000 |
| WELL_19937_A |
1.00596 |
| WELL_44497_A |
1.05796 |
| WELL_19937_C |
1.09265 |
| WELL_44497_B |
1.16150 |
- Generating double values
| RNG identifier |
Score (normalized to the score of RandomSource.JDK) |
| SPLIT_MIX_64 |
0.27611 |
| TWO_CMRES |
0.31356 |
| XOR_SHIFT_1024_S |
0.33200 |
| MWC_256 |
0.38690 |
| MT_64 |
0.43439 |
| KISS |
0.52137 |
| ISAAC |
0.60310 |
| MT |
0.61153 |
| WELL_1024_A |
0.67584 |
| WELL_512_A |
0.69410 |
| JDK |
1.00000 |
| WELL_19937_A |
1.11309 |
| WELL_19937_C |
1.15391 |
| WELL_44497_A |
1.17865 |
| WELL_44497_B |
1.20130 |
- Generating boolean values
| RNG identifier |
Score (normalized to the score of RandomSource.JDK) |
| MT |
0.93637 |
| MWC_256 |
0.95318 |
| WELL_19937_A |
0.96010 |
| WELL_1024_A |
0.96357 |
| WELL_44497_B |
0.97277 |
| KISS |
0.97344 |
| WELL_19937_C |
0.99193 |
| JDK |
1.00000 |
| ISAAC |
1.00620 |
| WELL_44497_A |
1.00850 |
| WELL_512_A |
1.03589 |
| XOR_SHIFT_1024_S |
1.10674 |
| SPLIT_MIX_64 |
1.12140 |
| MT_64 |
1.13390 |
| TWO_CMRES |
1.13793 |
- Sampling from a N(0,1) Gaussian distribution (MarsagliaNormalizedGaussianSampler implementation)
| RNG identifier |
Score (normalized to the score of RandomSource.JDK) |
| SPLIT_MIX_64 |
0.41299 |
| XOR_SHIFT_1024_S |
0.43226 |
| TWO_CMRES |
0.50874 |
| MWC_256 |
0.51402 |
| MT_64 |
0.55053 |
| ISAAC |
0.62246 |
| KISS |
0.63574 |
| MT |
0.65961 |
| WELL_512_A |
0.76610 |
| WELL_1024_A |
0.82318 |
| WELL_19937_A |
0.93490 |
| WELL_44497_A |
0.93664 |
| JDK |
1.00000 |
| WELL_44497_B |
1.01042 |
| WELL_19937_C |
1.02012 |
- Comparing BoxMullerNormalizedGaussianSampler, MarsagliaNormalizedGaussianSampler, ZigguratNormalizedGaussianSampler. Each score is normalized to the score of nextGaussian() method of java.util.Random.
| RNG identifier |
BoxMullerNormalizedGaussianSampler |
MarsagliaNormalizedGaussianSampler |
ZigguratNormalizedGaussianSampler |
| ISAAC |
0.98302 |
0.42238 |
0.25057 |
| JDK |
1.06425 |
0.64978 |
0.34814 |
| KISS |
0.95534 |
0.42419 |
0.22697 |
| MT |
0.96351 |
0.44536 |
0.25375 |
| MT_64 |
0.88290 |
0.37917 |
0.22083 |
| MWC_256 |
0.92266 |
0.35825 |
0.19624 |
| SPLIT_MIX_64 |
0.83485 |
0.29606 |
0.17689 |
| TWO_CMRES |
0.85873 |
0.35949 |
0.20117 |
| WELL_1024_A |
1.02734 |
0.53311 |
0.27986 |
| WELL_19937_A |
1.08683 |
0.63207 |
0.33016 |
| WELL_19937_C |
1.09748 |
0.61706 |
0.35864 |
| WELL_44497_A |
1.12428 |
0.61903 |
0.35108 |
| WELL_44497_B |
1.12845 |
0.65736 |
0.37151 |
| WELL_512_A |
1.01548 |
0.50523 |
0.27629 |
| XOR_SHIFT_1024_S |
0.86013 |
0.30990 |
0.18612 |
5. Quality
This section reports results of performing "stress tests" that aim at detecting failures of an implementation to produce sequences of numbers that follow a uniform distribution.
Two different test suites were used:
The first column is the RNG identifier (see RandomSource). The second and third columns contain the number of tests which Dieharder and TestU01 respectively reported as below the accepted threshold for considering the sequence as uniformly random; hence, in this table, lower is better.
For each the two test suites, three runs were performed (using random seeds): Click on one of the numbers of the comma-separated list in order to see the text report of the corresponding run. Note: For Dieharder, a failure on the "Diehard Sums Test" can be ignored.
| RNG identifier |
Dieharder |
TestU01 (BigCrush) |
| JDK |
11, 12, 13 |
74, 72, 75 |
| MT |
0, 1, 0 |
3, 2, 2 |
| WELL_512_A |
0, 0, 0 |
7, 6, 6 |
| WELL_1024_A |
0, 0, 0 |
4, 4, 5 |
| WELL_19937_A |
0, 0, 0 |
3, 2, 3 |
| WELL_19937_C |
0, 1, 0 |
2, 2, 3 |
| WELL_44497_A |
0, 0, 0 |
2, 3, 3 |
| WELL_44497_B |
0, , 0 |
2, 2, 2 |
| ISAAC |
0, 0, 1 |
0, 1, 0 |
| MT_64 |
0, 0, 1 |
3, 2, 3 |
| SPLIT_MIX_64 |
0, 0, 0 |
2, 0, 0 |
| XOR_SHIFT_1024_S |
0, 0, 0 |
2, 0, 0 |
| TWO_CMRES |
1, 1, 1 |
0, 0, 1 |
| MWC_256 |
0, 0, 0 |
0, 0, 0 |
| KISS |
0, 0, 0 |
1, 2, 0 |
6. Dependencies
Apache Commons RNG requires JDK 1.6+ and has no runtime dependencies.
|


Joining the Conference
I use uberconference to do the interviews. We’ll coordinate a time that works for you, and I’ll send you conference information. It will look like this (I’ve blurred out specifics):
You can either use the phone number or the browser link. If you use the phone number, you’ll be prompted for the PIN, and then we can just talk. In this scenario your phone number will be displayed to me in uberconference’s UI, so if you care about that, use the browser link instead, and then you’ll be fully anonymous.
When joining with the browser link, you’ll be prompted to give uberconference access to your microphone. Once you have, you can click “settings”, and test whether the mic / speakers are working by talking. You can also turn off your video camera using the button at the bottom of the screen.
Your Identity
I’ll keep these interviews as anonymous as you like.
In terms of giving you an identity, my preference would be something like “J.B., 25/M, Wisconsin, US”; we could also go with “John B, 25/M, Wisconsin, US”. If you prefer a pseudonym, I won’t know any different :), so just tell me which you prefer.
IF you are comfortable sharing any photos (e.g. you in hospital), that’d be awesome and I’d love to include them. If not, totally fine.
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I’ll send you a draft before I make it public. Anything you want to change, remove, or edit, just let me know at that time. If you have regrets at that point and want to strike the whole thing, that’s fine.
Questions
This is not a gotcha interview :), so I’m including the questions here so that you can see roughly the structure of the conversation. Of course, I may add questions if there are interesting tangents to your story. If you feel uncomfortable with any question, we can skip it, and I promise not to ask any further along those lines. I will try to keep the interview to 20-25 minutes, so I may skip questions too in the interest of time.
Please be frank and honest. There’s no judgement here. Your experience will help others.
A) Early Pandemic & Lockdown
- When and how did you first hear about COVID?
- When did you realize it was a serious situation?
- Did you go into lockdown / quarantine at that point?
- (If so) what was lockdown like for you? What was your routine? How many people do you guess you interacted with?
- Did you manage to keep your job while in lockdown?
- Were you treating it as a high risk situation?
B) Your Infection & Symptoms
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- How long before you considered yourself reasonably recovered?
- Between getting infected, and noticing symptoms, do you think you interacted with anybody? Do you know if they got infected?
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 Did they change their mind after you got infected?
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It can predict following 6 labels: Walking, Standing,Waving Hands, Talking to phone, Squatting,Yoga
{% csrf_token%}
Choose the video file to recognise:
Prediction is: {{text}}


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readFromParcel(Parcel)
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Removes all cached objects with key prefix.
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retries(int)
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new Camera(position, target)
Parameters:
| Name | Type | Description |
|---|---|---|
position |
Vector | Camera position. |
target |
Vector | Camera |
- Source:
Methods
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calculatePerspectiveFov() → {Matrix}
-
Builds a perspective projection matrix based on a field of view.
- Source:
Returns:
- Type
- Matrix
-
createViewMatrix()
-
- Source:
-
direction()
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look(x, y)
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Move camera rotation by the x and y amounts passed.
Parameters:
Name Type Description x
number y
number - Source:
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lookDown()
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- Source:
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move(x, y, z)
-
Move camera position by the x, y, and z amounts passed.
Parameters:
Name Type Description x
number y
number z
number - Source:
-
moveBackward()
-
- Source:
-
moveDown()
-
- Source:
-
moveForward()
-
- Source:
-
moveLeft()
-
- Source:
-
moveRight()
-
- Source:
-
moveTo()
-
- Source:
-
moveUp()
-
- Source:
-
turnLeft()
-
- Source:


黒の手番です。43 はどう動かしますか？
Unlimited
pips Black=147 White=144
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 7/3* 6/3 eq:+0.017 48.66% (G:16.62% B:0.54%) 51.34% (G:11.03% B:0.57%) 2. 24/20 13/10* eq:-0.032 (-0.049) 48.63% (G:12.59% B:0.51%) 51.37% (G:12.24% B:0.69%) 3. 24/21 6/2 eq:-0.044 (-0.061) 47.51% (G:10.06% B:0.25%) 52.49% (G: 7.00% B:0.26%) 4. 24/21 8/4 eq:-0.109 (-0.126) 45.97% (G: 9.83% B:0.26%) 54.03% (G: 8.35% B:0.26%) 5. 13/10* 7/3* eq:-0.118 (-0.135) 46.45% (G:15.75% B:0.65%) 53.55% (G:15.56% B:1.21%)


|
Recycling wastes is not only a solution to waste management but also to resource
utility.Industry produces a lot of waste materials which remain unused and pollutes the
environment.So what's the solution???
Some of the industrial wastes found are dirt and gravel (can be recycled into clothes,furniture,carpet), masonry and concrete (can be recycled into art,furniture,carpet),scrap metal (can be recycled into house,car,yard,box),oil(can be recycled into plant boilers, space heaters, or industrial heating applications) ,solvents (re-use in manufacturing commercial products),chemicals(recycled into plastic (PET) into new bottles, clothes and other everyday products),scrap lumber(can be chipped and used in compost or mulch), even vegetable matter (can be break down organic matter, such as kitchen vegetable scraps, garden waste, leaves, and animal manure). |


{% extends "layout.html" %} {% set active_page = 'manage' %} {% block title %}Manage Posts | Beak{% endblock %} {% block content %} Posts {% for post in posts %} {{ post }} Edit Publish Delete Posted on January 17th 2016 {% endfor %} {% endblock %}


Getting Started¶
Variable examples¶
There are only a few variables which are defined to get started with this role.
---
# Only set to true if desired to set root password...for Debian/Ubuntu systems
bootstrap_debian_set_root_pw: false
# Defines if fail2ban should be installed
bootstrap_install_fail2ban: false
# Define root password for hosts
# If Ubuntu/Debian choose wisely if you want to do this
# Generate password (echo password | mkpasswd -s -m sha-512)
# The password below is 'P@55w0rd'
bootstrap_root_password: '$6$8tMUxKP33/$Fb/hZBaYvyzGubO9nrlRJMjUnt3aajXZwxCifH9NYqrhjMlC9COWmNNFiMpnyNGsgmDeNCCn2wKNh0G1E1BBV0'
# Defines if root password should be set
# This only applies to non Debian/Ubuntu systems
bootstrap_set_root_pw: false
Variables explained:¶
- The
bootstrap_debian_set_root_pw
defines if theroot
password should be set on Debian based systems. - The
bootstrap_install_fail2ban
defines iffail2ban
should be installed. - The
bootstrap_root_password
defines theroot
password to be set. - The
bootstrap_set_root_pw
defines if non Debian/Ubuntu root passwords should be set.
Playbook example¶
---
- hosts: all
become: true
vars:
roles:
- role: ansible-bootstrap
tasks:


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GAME INFO Play Minecraft Free - no download Usually for 13 to 16-year-old children who really love playing to Minecraft. We have noticed that many different version of Minecraft can be a real game changer if played by the children. It can help children enrich their intellectual ability. If you have a small child and he likes the Minecraft game, he is more likely to be hooked by the game which is very educational to many extents. It can also contribute to your math education if you play it regularly. The game is very simple as well as the basic level requires knowledge of mathematics. You need to do in the game "Punch Wood" button to cut some wood and to increase the number of wood in your hand. Then you can swap with the first wooden beam 4, you can build your home at 40 after beam. Once you have a home once you unlock more new items starting with the excavation.


#Data Structures Additional attributes can be defined such as follows. But all these add-on attributes are lost after manipulating the object. The only unchanged attr are name, type and dimension. ```{r}
structure(1:10, attributes = “this is a vector”)
Arrays are high dimensional 'matrices'
```{r}
a <- array(data = 1:12, dim = c(2,3,2))
aperm(a) #generalised transpose of array
# supress automatic turning of strings into factors
df <- data.frame(
x = 1:3,
y = c("a", "b", "c"),
stringsAsFactors = FALSE)
str(df)
dfl <- data.frame(x = 1:3, y = I(list(1:2, 1:3, 1:4)))
str(dfl)
#Subsetting There are preserving and simplifying way of subsetting. The former returns an object of the same type as the input. The latter returns different output depending on input.
Factor: drops any unused levels.
{r]}
z <- factor(c("a", "b"))
z[1]
#> [1] a
#> Levels: a b
z[1, drop = TRUE]
#> [1] a
#> Levels: a
Matrix or array: if any of the dimensions has length 1, drops that dimension.
{r]}
a <- matrix(1:4, nrow = 2)
a[1, , drop = FALSE]
#> [,1] [,2]
#> [1,] 1 3
a[1, ]
#> [1] 1 3
Data frame: if output is a single column, returns a vector instead of a data frame.
{r}
df <- data.frame(a = 1:2, b = 1:2)
str(df[1])
#> 'data.frame': 2 obs. of 1 variable:
#> $ a: int 1 2
str(df[[1]])
#> int [1:2] 1 2
str(df[, "a", drop = FALSE])
#> 'data.frame': 2 obs. of 1 variable:
#> $ a: int 1 2
str(df[, "a"])
#> int [1:2] 1 2
A lot more subsetting with dataframe at the Applications section which might come in handy
the body(FUN)
functions prints the body of the function, formal()
and enviroment()
work similarly
> Lexical scoping looks up symbol values based on how functions were nested when they were created, not how they are nested when they are called.
Each function call is completely independent to its past calls, codetools::findGlobals(FUN)
finds all the variables and functions the particular function FUN relies on in the global environment
All operators are masked/overloaded functions, for example:
```{r}
x <- 10; y <- 5
x + y
#> [1] 15
+
(x, y)
#> [1] 15
for (i in 1:2) print(i)
#> [1] 1
#> [1] 2
for
(i, 1:2, print(i))
#> [1] 1
#> [1] 2
if (i == 1) print(“yes!”) else print(“no.”)
#> [1] “no.”
if
(i == 1, print(“yes!”), print(“no.”))
#> [1] “no.”
x[3]
#> [1] NA
[
(x, 3)
#> [1] NA
{ print(1); print(2); print(3) }
#> [1] 1
#> [1] 2
#> [1] 3
{
(print(1), print(2), print(3))
#> [1] 1
#> [1] 2
#> [1] 3
```
All user defined infix functions must be wrapped by ‘%’
Replacement functions act like they modify their arguments in place, and have the special name xxx<-. They typically have two arguments (x and value), although they can have more, and they must return the modified object. For example, the following function allows you to modify the second element of a vector:
`second<-` <- function(x, value) {
x[2] <- value
x
}
x <- 1:10
second(x) <- 5L
x
#> [1] 1 5 3 4 5 6 7 8 9 10
This creats a new copy that replaces the old object.
library(pryr)
’s address
function shows memory address
#FP
summary <- function(x) {
funs <- c(mean, median, sd, mad, IQR)
lapply(funs, function(f) f(x, na.rm = TRUE))
}
### closures functions made by other functions. Closures are described in the next section. > “An object is data with functions. A closure is a function with data.”
Closures get their name because they enclose the environment of the parent function and can access all its variables. This is useful because it allows us to have two levels of parameters: a parent level that controls operation and a child level that does the work.
power <- function(exponent) {
function(x) {
x ^ exponent
}
}
square <- power(2)
square(2)
#> [1] 4
square(4)
#> [1] 16
cube <- power(3)
cube(2)
#> [1] 8
cube(4)
#> [1] 64
simple_tag <- function(tag) {
force(tag)
function(...) {
paste0("<", tag, ">", paste0(...), "</", tag, ">")
}
}
tags <- c("p", "b", "i")
html <- lapply(setNames(tags, tags), simple_tag)
I’ve put the functions in a list because I don’t want them to be available all the time. The risk of a conflict between an existing R function and an HTML tag is high. But keeping them in a list makes code more verbose:
{r}
html$p("This is ", html$b("bold"), " text.")
#> [1] "
This is bold text.
"
Depending on how long we want the effect to last, you have three options to eliminate the use of html$:
For a very temporary effect, you can use with():
with(html, p("This is ", b("bold"), " text."))
#> [1] "
This is bold text.
"
For a longer effect, you can attach() the functions to the search path, then detach() when you’re done:
attach(html)
p("This is ", b("bold"), " text.")
#> [1] "
This is bold text.
"
detach(html)
Finally, you could copy the functions to the global environment with list2env(). You can undo this by deleting the functions after you’re done.
list2env(html, environment())
#> <environment: R_GlobalEnv>
p("This is ", b("bold"), " text.")
#> [1] "
This is bold text.
"
rm(list = names(html), envir = environment())
sapply() is a thin wrapper around lapply() that transforms a list into a vector in the final step. vapply() is an implementation of lapply() that assigns results to a vector (or matrix) of appropriate type instead of as a list.


Source Location: /space-brain/core/components/Pear/PEAR.php
PEAR, the PHP Extension and Application Repository
PEAR class and PEAR_Error class
PHP versions 4 and 5
LICENSE: This source file is subject to version 3.0 of the PHP license that is available through the world-wide-web at the following URI: http://www.php.net/license/3_0.txt. If you did not receive a copy of the PHP License and are unable to obtain it through the web, please send a note to<EMAIL_ADDRESS>so we can mail you a copy immediately.
[line 47]
OS_UNIX = false
[ Top ]
[line 46]
OS_WINDOWS = true
[ Top ]
[line 58]
PATH_SEPARATOR = ';'
[ Top ]
[line 35]
PEAR_ERROR_CALLBACK = 16
ERROR constants
[ Top ]
[line 34]
PEAR_ERROR_DIE = 8
ERROR constants
[ Top ]
[line 40]
PEAR_ERROR_EXCEPTION = 32
WARNING: obsolete
ERROR constants
[ Top ]
[line 32]
PEAR_ERROR_PRINT = 2
ERROR constants
[ Top ]
[line 31]
PEAR_ERROR_RETURN = 1
ERROR constants
[ Top ]
[line 33]
PEAR_ERROR_TRIGGER = 4
ERROR constants
[ Top ]
[line 48]
PEAR_OS = 'Windows'
[ Top ]
[line 42]
PEAR_ZE2 = (function_exists('version_compare')&&version_compare(zend_version(),"2-dev","ge"))
[ Top ]


I had managed to blag my way to tag along on a school art trip to Amsterdam, this is particularly relevant as I don’t study art, also it is worth mentioning that my school drug tests students randomly and if you come up positive, you are kicked out, so I wasn’t willing to take the risk of smoking cannabis, as I couldn’t face being expelled. Though I do smoke a lot in the holidays! I am interested in art and have always liked Van Gogh Paintings and I looked forward to seeing the art, experiencing the Amsterdam culture, but of course, my plans were not based totally around art and culture.
On our first night, we arrived at midnight, and me and my roommate ran outside to try and find some Magic Mushrooms. We were fairly naïve as to the terminology or where to find them. The first open establishment we reached was a Kebab Shop. We asked if they knew where we could buy mushrooms. The proprietors of the shop were Turkish, living in Holland, and therefore didn’t understand what we meant. So I simplified: “Marijuana, Where can we find Marijuana?” They pointed us up the street and we soon arrived at a Turkish cannabis café, we asked at the counter for mushrooms, but once again, they didn’t know what we meant.
We gave up for the night and went to a bar and got very drunk on Absinthe and went home. The next day after visiting galleries and museums, we were let loose in town at about 7. We went out and had a fairly mediocre dinner at a tapas bar, and went off again in search of mushrooms. I went into a café in Rembrantsplein, and was relieved to find a 20 something year old English pothead behind the counter, finally someone who speaks my language! I asked where we could buy mushrooms, and he told me to go to a ‘Smartshop’. I asked where the nearest one was, and he said they are everywhere, try the flowermarket. So we set off, not knowing where we were going really, and found the flowermarket by asking for directions from at least 6 people. We then spotted a large sign saying, “Smart Products Shop”, so we went in.
These shops sell mushrooms, herbal ecstacy, mushroom kits, drug gadgets (bongs, tooters, pipes etc), and all sorts of semi-legal drugs, including cannabis cookies and chocolate. I bought a box containing 4 large fresh Mexican mushrooms for €12, We went back to our hotel room quite early, and I gave one of these to my roommate and ate the remaining 3. I then proceeded to watch fight club on the hotel room TV, which I had never seen before. The film seemed immeasurably exciting, and I was overwhelmed by the good vibes it gave me.
Although not experiencing any intense effects, I was in a very calm and relaxed state, more open to others and more sociable. I also recall being mesmerised by my cigarette smoke as it rose from the tip of my Lucky Strike. We went downstairs to the hotel bar where we met the rest of our group. The music and bright lights were brighter and more pleasurable than usual, I tried many different types of beer as they all tasted better than usual. I went to bed late and very drunk and woke up without a hangover, which is unusual for me, and feeling rested and revitalised. My roommate felt nothing, and I felt it was a waste to give him just one when he didn’t feel anything, and I kinda wished that I had eaten them all, to get better effects.
I was impressed with the feeling they gave me, but I still wanted to experience a ‘trip’, so while looking round a particularly dull gallery (Reiechs Museum I think) I slinked out and managed to find a smartshop and purchased 2 dried doses of Hawaiian mushrooms for €15 each. Apparently the strongest ‘visual mushrooms” on the market, it was definitely the most expensive! I decided that I wouldn’t have the time or the strength (it was a long weekend trip) to try them in Amsterdam so I took them home with me.
I ended up trying them at a friend’s house, his parents weren’t due back until 1am, and it was 4 in the afternoon. I had not eaten much that day, and had arranged to stay at his house. I had the mushrooms in 2 little Baggies, one (1 gram) dose each. We set up the house so we would not have to do anything too hard, like putting CDs in the stereo ready, putting junk out of the way, emptying our pockets, lighting the fire (log burning fireplace), locking the door, drawing the curtains etc. We went outside into the garage and rolled and smoked a fairly strong joint, and once we were coming down from that we tried to decide how to take the mushrooms.
I suggested in honey, like I had read in a guide, but my friend suggested we heat up some milk and then add the honey and shrooms. We did this, pouring the hot (not boiling) milk into mugs. We found it very funny and ironic because we were using mugs with our previous very anti drugs school's logo on them! So we poured hot milk over the mushrooms with honey at the bottom and let them cool & brew so we could drink it.
Well, it was delicious and very effective, I have since read that milk products cause nausea in the initial hour or 2 of the trip, but neither myself nor my friend experienced any nausea at that stage. I cut up 4 oranges into quarters and put them in a bowl on the floor in the living room to eat to get the vitamin C in case the trip was too intense, as recommended by the kind yet odoriferous hippie in the mushroom store. We settled down in respective armchairs to watch Bridget Jones’ Diary. A film that I enjoyed when I first saw it.
After about half an hour, I started to feel really unusual and realised I was watching the wall next to the screen. The wall was swirling and all distorted, I was seeing patterns flying round and really weird bright colours. I had totally lost interest in the film, feeling the jokes were childish and generally feeling above the mentality of the film.
My friend, who wasn’t feeling anything, was encouraging me in an amusingly patronising way 'Your exploring are you? What can you see? You having fun back there?' and finding my antics amusing. I was hit by a sense of belonging and understanding, believing that I understood life, death, love and peace. I also spent 20 minutes staring at the Christmas tree lights. My friend was not feeling much, so I kicked him out of his living room, turned off the TV and the lights and put on Pink Floyd’s “pulse” album. The first song, “Shine On You Crazy Diamond” was intensely euphoric, and I still get a shiver of pleasure every time I hear it.
I sat cross legged and topless in the centre of the room becoming one with the music (how corny does this sound), swaying to the music and thinking that the speakers were the ‘music of love zone’ and the fireplace, lit but blocked by a safety grill, was the ‘warmth of the soul zone’. My friend took me outside and for a walk round the garden, it was just after sunset and raining lightly. The sensation of soft rain while walking through an orchard was overwhelmingly beautiful. I was one with nature and I was the king of the world.
I came back inside after a few minutes. It was cold and I was half naked in December in Britain, not a great idea. I called my girlfriend, and tried to have a conversation with her, but I was just laughing my head off, and she just got freaked out. My friend then received a phone call from his mate asking him to come out to the pub. My friend was thoroughly bored of my nonsensical ramblings and odd behaviour, and didn’t understand what I was going through, so he agreed and made me put my shirt on and took me to his car.
[Erowid Note: Driving while intoxicated or tripping is dangerous and irresponsible because it endangers other people. Don't do it!]
At this point I started to feel insecure, only slightly but it was the first bad vibe I had since the beginning of the trip. My friend was driving whilst under the influence of one of the most powerful mushrooms you can buy, I do not recommend this to anyone and now understand that I am in a sense lucky to be alive. He was not tripping, but he was feeling some effects. He was commenting on the streetlights looking “totally wow!”, which is unusual for his usual eloquent quips, though driving very well.
I remember feeling more and more insecure as we got closer to the pub. Would they know I was on drugs? would I get arrested? Was I looking my best (I thought not)? I stuck my head out of the window and calmed myself by looking at the glowing red and green cats eyes on the side of the road, thinking I was on a runway taking off, but it didn't help much. By the time we were at the pub I was feeling very self-conscious. I was paranoid and after half a pint of lager, I was nauseous and having a panic attack, I hid this well, but told my friend I was feeling really bad and retired to the car, after vomiting heavily in the car park.
I was petrified when I was in the pub as I felt everyone hated me and wanted to kill me. I felt safe in the car because I locked myself in and listened to the radio. After half an hour my friend came out to see if I was ok, and I convinced him (now close to tears) that we had to go home. He agreed, and took me home, on the way home I was explaining to him what I was going through, and he agreed that my trip was definitely turning bad now. I was swearing to myself that I would never take drugs again, and I was thinking that I would go and live in a monastery, very delusional, not like me at all! I kept reminding myself that it was all drugs, and it would be over, but I only half believed myself.
We got home, around 10 PM, and I ate the oranges that I had prepared earlier, as well as a litre of cranberry juice. We sat down and as the effects wore off, and I started to land, I put on the Beatles, Blue Album. The music was cheery and familiar, talking about love, getting upbeat and generally cheering me up. As I came down, we played a 3-hour game of chess. I think I won, but I can’t remember.
I was a bit confused for a few days afterwards, as the mushrooms showed me things about myself that I never knew and some things I didn’t want to know. My mild insecurities briefly became complexes. My mind took a few days to go over all the things and thoughts I experienced during my trip, mostly good things but a few bad.  It took about 4 days for me to get over all this new knowledge that the gates of perception had opened me up to.
In retrospect, the mistake of the experience was going out into public. I have got hold of more dried mushrooms and intend to do them again (it is 3 months later now).
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Boston-to-LA flight makes emergency landing in central NY
by EndPlaySYRACUSE, N.Y. (AP) - A plane bound from Boston to Los Angeles has made an emergency landing in Syracuse, New York, after reporting a possible engine problem.
The Federal Aviation Administration says in a statement that Delta Flight 2531 landed safely around 7:30 p.m. Friday at Syracuse Hancock International Airport after declaring an emergency.
Atlanta-based Delta Air Lines says the pilots got "an indication of a possible engine issue."
The Boeing B757 taxied to a gate, with 157 passengers aboard. Another plane headed to Syracuse to take them to Los Angeles later Friday.
Delta is apologizing for the delay.


This was our initial analysis. We thought we would find a relationship between GDP and Homeownership. Our initial theory was that a higher GDP would mean a higher homeownership percentage in the state.
We found that there is no direct relationship between GDP and homeownership and that there may be other factors involved. From here we decided that we wanted to see what relationships we could find using different variables and how GDP and homeownership effect these variables.
Something I found interesting with this project is that you can easily see how the recession effected different variables such as House Prices and Unemployment. You can also see that California and Wyoming took a hit to their GDP. Lastly, you can see that homeownership began decreasing in the states with high GDP when the recession hit.


30
A Lament for Egypt
1 The word of the LORD came to me:
2 “Son of man, prophesy, and say, Thus says the Lord GOD:
“Wail, ‘Alas for the day!’
3 For the day is near,
the day of the LORD is near;
it will be a day of clouds,
a time of doom for the nations.
4 A sword shall come upon Egypt,
and anguish shall be in Cush,
when the slain fall in Egypt,
and her wealth is carried away,
and her foundations are torn down.
5 Cush, and Put, and Lud, and all Arabia, and Libya, and the people of the land that is in league, shall fall with them by the sword.
6 “Thus says the LORD:
Those who support Egypt shall fall,
and her proud might shall come down;
from Migdol to Syene
they shall fall within her by the sword,
declares the Lord GOD.
7 And they shall be desolated in the midst of desolated countries,
and their cities shall be in the midst of cities that are laid waste.
8 Then they will know that I am the LORD,
when I have set fire to Egypt,
and all her helpers are broken.
9 “On that day messengers shall go out from me in ships to terrify the unsuspecting people of Cush, and anguish shall come upon them on the day of Egypt's doom; for, behold, it comes!
10 “Thus says the Lord GOD:
“I will put an end to the wealth of Egypt,
by the hand of Nebuchadnezzar king of Babylon.
11 He and his people with him, the most ruthless of nations,
shall be brought in to destroy the land,
and they shall draw their swords against Egypt
and fill the land with the slain.
12 And I will dry up the Nile
and will sell the land into the hand of evildoers;
I will bring desolation upon the land and everything in it,
by the hand of foreigners;
I am the LORD; I have spoken.
13 “Thus says the Lord GOD:
“I will destroy the idols
and put an end to the images in Memphis;
there shall no longer be a prince from the land of Egypt;
so I will put fear in the land of Egypt.
14 I will make Pathros a desolation
and will set fire to Zoan
and will execute judgments on Thebes.
15 And I will pour out my wrath on Pelusium,
the stronghold of Egypt,
and cut off the multitude of Thebes.
16 And I will set fire to Egypt;
Pelusium shall be in great agony;
Thebes shall be breached,
and Memphis shall face enemies by day.
17 The young men of On and of Pi-beseth shall fall by the sword,
and the women shall go into captivity.
18 At Tehaphnehes the day shall be dark,
when I break there the yoke bars of Egypt,
and her proud might shall come to an end in her;
she shall be covered by a cloud,
and her daughters shall go into captivity.
19 Thus I will execute judgments on Egypt.
Then they will know that I am the LORD.”
Egypt Shall Fall to Babylon
20 In the eleventh year, in the first month, on the seventh day of the month, the word of the LORD came to me:
21 “Son of man, I have broken the arm of Pharaoh king of Egypt, and behold, it has not been bound up, to heal it by binding it with a bandage, so that it may become strong to wield the sword.
22 Therefore thus says the Lord GOD: Behold, I am against Pharaoh king of Egypt and will break his arms, both the strong arm and the one that was broken, and I will make the sword fall from his hand.
23 I will scatter the Egyptians among the nations and disperse them through the countries.
24 And I will strengthen the arms of the king of Babylon and put my sword in his hand, but I will break the arms of Pharaoh, and he will groan before him like a man mortally wounded.
25 I will strengthen the arms of the king of Babylon, but the arms of Pharaoh shall fall. Then they shall know that I am the LORD, when I put my sword into the hand of the king of Babylon and he stretches it out against the land of Egypt.
26 And I will scatter the Egyptians among the nations and disperse them throughout the countries. Then they will know that I am the LORD.”


Ford is making an electric Mustang – and it's an SUV
This isn't the Mustang of old, but maybe that's a good thing
by Andrew HaywardThe Mustang is one of the all-time iconic sports cars, and even if the design has shifted significantly in recent years, the name still holds a lot of allure. That's why Ford just blew a few minds with the announcement of the Mustang Mach-E. Not only is it Ford's first-ever fully electric car, but it's also… not a coupe. It's an SUV. Granted, it's a pretty sleek-looking SUV, but the silhouette has definitely changed for Ford's new electric vision. Still, it looks plenty slick and should be speedy to boot, with Ford targeting a 0-60 time of mid-3-seconds with the priciest GT Performance edition. The Mach-E will go 210 miles with the standard battery or up to 300 miles with the extended version, and Ford plans to start selling the next-gen Mustang from autumn 2020 at a starting price of US$43,895 (about £33,850).


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{% for include in include_css -%}
{%- endfor -%}
{% for include in include_js %} {% endfor %} {% include "templates/includes/app_analytics/google_analytics.html" %} {% include "templates/includes/app_analytics/mixpanel_analytics.html" %}


{% extends "_layouts/default.html" %} {% block custom_head %} {% if not ready %} {% endif %} {% endblock %} {% block content %} {% if not ready %}
Indel Primer Analysis is currently running. Please wait a few minutes. This page will automatically reload.
Unfortunately, no primers could be found for this site.
| Indel Site | Indel Size | Variant Type | Primer Lengths | Annealing Temp | Strain 1 | Strain 2 |
|---|---|---|---|---|---|---|
| {{ data['site'] }} | {{ data['size'] }} | {{ data['svtype'] }} | 18-22 bp | 55-65 °C | {{ data['strain_1'] }} | {{ data['strain_2'] }} |


GBP/USD seesaws around 1.2925 as Johnson-Corbyn debate ends on a sour note
by Anil Panchal- GBP/USD trims previous gains amid the UK’s political debate.
- Johnson’s comments on the region’s importance, Labour’s spending plans and NHS gained major attention, Corbyn reiterated second referendum.
- Snap polls showed mixed outcome and increased political uncertainty.
With the ITV’s political debate deviating from the recent polls of Conservatives’ lead in December election, GBP/USD takes the rounds 1.2925 by the start of Wednesday’s Asian session.
The United Kingdom’s (UK) Prime Minister (PM) Boris Johnson and the opposition Labour party leader Jeremy Corbyn were head-to-head on the ITV’s political debate after the Swiss National Party (SNP) and the Liberal Democrats (LibDem) were barred from the appearance by judges earlier.
As anticipated, the debate flashed lights on many things including the European Union’s (EU) importance for the UK PM vis-à-vis Brexit and how does he see National Health Services (NHS) after the decision to shelve plans for corporate tax cuts. The Tory leader remained firm on his Brexit bias but gave high importance to the region while also supporting the NHS.
However, he struggled to confront Corbyn’s allegation that it is “nonsense” to suggest that Johnson would sort out Brexit by January. The Labour leader also gained popularity while turning down the hopes of an alliance with the SNP. Further, Corbyn showed readiness for another referendum and a better deal.
Read: ITV Live Debate: Rolling headlines on Brexit
Also increasing the uncertainty was the snap polls that showed a different level of popularity than the major polls concerning the December month election. While ITV’s numbers surprised markets with a 78% favour for the Labour leader Corbyn, YouGov/Sky News put only 49% of public trust on the Labour leader.
Elsewhere, signals concerning the phase one deal between the United States (US) and China keep coming in mixed while economic calendar stays mostly silent.
Technical Analysis
The 1.3000 mark continues to act as key resistance, followed by 1.3015 and May month high near 1.3180, whereas monthly bottom near 1.2770 can keep sellers entertained.
additional important levels
| Overview | |
|---|---|
| Today last price | 1.2927 |
| Today Daily Change | -22 pips |
| Today Daily Change % | -0.17% |
| Today daily open | 1.2949 |
| Trends | |
|---|---|
| Daily SMA20 | 1.2874 |
| Daily SMA50 | 1.2634 |
| Daily SMA100 | 1.2464 |
| Daily SMA200 | 1.2703 |
| Levels | |
|---|---|
| Previous Daily High | 1.2986 |
| Previous Daily Low | 1.2908 |
| Previous Weekly High | 1.2918 |
| Previous Weekly Low | 1.2785 |
| Previous Monthly High | 1.3013 |
| Previous Monthly Low | 1.2194 |
| Daily Fibonacci 38.2% | 1.2956 |
| Daily Fibonacci 61.8% | 1.2938 |
| Daily Pivot Point S1 | 1.2909 |
| Daily Pivot Point S2 | 1.2869 |
| Daily Pivot Point S3 | 1.283 |
| Daily Pivot Point R1 | 1.2988 |
| Daily Pivot Point R2 | 1.3026 |
| Daily Pivot Point R3 | 1.3066 |


Approaching video with a defined editorial strategy
Often, videos appear to have been generated solely to attract users to one piece of content. To combat this problem, with video, I would consciously adopt a clear, concise editorial strategy that finds audiences, and then retains them. For example, I would develop a range of video series, thematically arranged, and pegged around significant cultural events. During the Edinburgh Fringe, i could commission comedians to film minute-long jokes, which would be run across the website and social media channels. Or, to coincide with Hay Festival’s 30th anniversary, authors could be filmed reading iconic extracts from classic books.
I would also be mindful, however, of the growing desire for immersive, personal video experiences. Exploring the possibilities offered by Facebook Live and 360° video, I would use these mediums to provide readers with immediate visual insights into exhibitions and openings.
Concise, concentrated podcasts
Combining the intimacy of audio with the concise, quality content offered by i, I would propose a weekly instalment of pithy 10 minute podcasts, briefly outlining and scrutinising a relevant topic. This would be a compelling way to cover the Awards seasons. During the build-up to the Oscars, for example, two film experts could debate the merits, and downfalls, of nominated films.


Immigration is potentially the most 'heated' topic involved in this referendum. Why? Because to a large extent its the least understood. The vast majority of immigrants entering the UK come from outside the EU so aren't bound by EU "free movement rules", although this percentage is shrinking. The UK already operates a points based system, commonly referred to as the "Australian style" system, for non-EU migrants. Experts believe reform of this system is what is needed to reduce immigration to the 'tens of thousands' which is believed to be the sustainable level of immigration to the UK per year.
This is over 500 hrs worth of research condensed into about 5 minutes worth of clear, concise, quality reading. Each question has been researched, scrutinised and then made available to you in one place, all so you can make a more informed decision, faster.
Have a glance over the tiles below and get an understanding of what is going on with the EU and UK today.
Use the 5 emojis to react to how you feel about the information you read.
We'll then use some clever computing to give you all the options on the table so you can decide what happens next.
You've now done all that you'd like to for the topic of immigration, up next we'll be moving onto Sovereignty and Law making.
Remember you dont have to react to every card, feel free to pick and choose what topics and cards you look at.


Subscription is just another GraphQL operation type like Query and Mutation. It allows creating real-time
subscriptions over
a bidirectional transport layer, mainly over websockets. Read more about the subscriptions here. Below is a commentAdded
subscription example, copied and pasted directly
from the official Apollo documentation:
{{ subscriptionOfficialExample }}
Notice Thepubsub
is an instance ofPubSub
class. Read more about it here.
In order to create an equivalent subscription in Nest, we'll make use of the
@Subscription()
decorator. Let's extend our
AuthorResolver
used in the resolvers section.
{{ resolversWithNames }}
We have used a local PubSub
instance here. Instead, we should define PubSub
as a provider,
inject it through the constructor (using @Inject()
decorator), and reuse it across the whole
application.
You can read more about Nest custom providers here.
In order to enable subscriptions, we have to set installSubscriptionHandlers
property to true
.
{{ enableSubscriptions }}
To customize the subscriptions server (e.g. change port), you can use subscriptions
property (read more).
The last step is to update type definitions file.
{{ typeDefs }}
Well done. We created a single commentAdded(repoFullName: String!): Comment
subscription.
You can find a full sample implementation here.


{% extends "layout.html" %} {% block content %}
This website uses data from Project Tycho and several
data mining algorithms to provide you with results that may be helpful in preventing outbreaks
of disease. Click on one of the data mining tasks in the navigation bar above to start exploring
the data.
The different data mining tasks are described below:
- Outlier detection in our application aims to find cities with unusual statistics for fatality count,
occurence count, or fatality percentage for a given disease
- First select a disease that you want to investigate, or press the button to find information for all
diseases. Note that this option does take a few minutes to run.
- The KNN algorithm will run for k=2, k=3, and k=4 to find outlier cities for the given disease. The
city values will also be compared to the normal distribution and marked as outliers if their z-score
is outside the range of 1.5.
- 6 tables will be shown as a result. Each table contains the outlier cities and their relevant information.
There will be one table for each of the two algorithms and for each of the three values: occurrence count,
fatality count, and fatality percentage. This can be used to infer which cities may be unusual with respect
to the selected disease.
- This data mining task finds rules in the data of the form X -> Y where X and Y are different sets of
diseases. These rules say that areas that experience outbreaks of diseases in X tend to also
experience outbreaks of diseases in Y in a similar time frame. For example, US states that
have outbreaks of influenza and typhoid fever in a year also tend to have an outbreak of scarlet fever
that year.
- This task takes two parameters which are restrictions on the rules that can be included in the results.
The first is minimum support. This is the lower bound on the ratio of data points
(time, location combinations) that experienced outbreaks of diseases in all diseases
in X and Y to the total number of data points. This limits the returned rules to ones that occur
with some frequency. The second parameter is minimum confidence and this limits results to rules
that have some level of accuracy. This is the lower bound on the proportion of data points with
outbreaks of all the diseases in X that also have outbreaks of all the diseases in Y.
- This data mining task determines the similarity of two diseases based on location, date, and the number of
fatal and nonfatal cases. Each factor is considered equally.
- The user chooses two diseases to compare, a date range, and a location, and the algorithm finds the similarity
between those diseases based on records for that location which fall within that date range.
- This data mining task clusters states by disease frequency count using K-means. Additionally, it displays the displays the results on a choropleth map visualization. With this we hope to provide the ability to identify new patterns through visual cluster analysis. User can modify parameters K (number of clusters to identify) and select which decade to cluster by.
{% endblock %} {% block scripts %} {% endblock %}


EPSTOPDF(1) EPSTOPDF(1) NAME epstopdf, repstopdf - convert an EPS file to PDF SYNOPSIS epstopdf [options] [epsfile] DESCRIPTION epstopdf transforms the Encapsulated PostScript file epsfile (or standard input) so that it is guaranteed to start at the 0,0 coordinate, and it sets a page size exactly corresponding to the BoundingBox. This means that when Ghostscript renders it, the result needs no cropping, and the PDF MediaBox is correct. By default, the result is piped to Ghostscript and a PDF version written. If the bounding box is not right, of course, there are problems. OPTIONS --outfile=file write result to file. If this option is not given, and --nogs or --filter is specified, write to standard output; otherwise, the default is to construct the output file name by replacing any extension in the input file with .pdf. --[no]compress use compression (default: on). --[no]debug write debugging info (default: off). --[no]embed embed fonts (default: on). --[no]exact scan ExactBoundingBox (default: off). --[no]filter read standard input and (unless --outfile is given) write standard output(default: off). --[no]gs run Ghostscript (default: on). With --nogs, output (to standard output by default) the PostScript that would normally be con‐ verted; that is, the input PostScript as modified by epstopdf. --[no]hires scan HiresBoundingBox (default: off). --gscmd=val pipe output to val (default: [gswin32c on Windows, else gs]) --res=dpi set image resolution (default: [use gs default]) --autorotate=val set AutoRotatePages (default: None); recognized val choices: None, All, PageByPage. For EPS files, PageByPage is equivalent to All. --restricted=val turn on restricted mode (default: [on for repstopdf, else off]); this forbids the use of --gscmd and imposes restrictions on the input and output file names according to the values of openin_any and openout_any (see the Web2c manual, http://tug.org/web2c). --help display help message and exit --version display version information and exit EXAMPLES Examples which produce "test.pdf": epstopdf test.eps produce postscript | epstopdf --filter >test.pdf produce postscript | epstopdf -f -d -o=test.pdf Example: look for HiresBoundingBox and produce corrected PostScript: epstopdf -d --nogs --hires test.ps >testcorr.ps BUGS The case of "%%BoundingBox: (atend)" when input is not seekable (e.g., from a pipe) is not supported. Report bugs in the program or this man page to<EMAIL_ADDRESS>When reporting bugs, please include an input file and the command line options specified, so the problem can be reproduced. SEE ALSO gs(1), pdfcrop(1). The epstopdf LaTeX package, part of the oberdiek bundle, which automates running this script on the fly under TeX: http://ctan.org/pkg/epstopdf- pkg. AUTHOR The script was originally written by Sebastian Rahtz, for Elsevier Sci‐ ence, with subsequent contributions from Thomas Esser, Gerben Wierda and many others. Currently maintained by Karl Berry. Man page originally written by Jim Van Zandt. epstopdf home page: http://tug.org/epstopdf. You may freely use, modify and/or distribute this file. 18 March 2010 EPSTOPDF(1)


the Mann Monument
[70, 80]
|
Peppin Way
[71, 80]
|
the Cari Museum
[72, 80]
|
Savery Alley School
[73, 80]
|
the Streets Hotel
[74, 80]
|
a factory
[75, 80]
|
Club Stringfellow
[76, 80]
|
Hannigan Drive
[77, 80]
|
the Toms Building
[78, 80]
|
Castlehow Avenue
[79, 80]
|
the Showers Building
[70, 81]
|
a junkyard
[71, 81]
|
the Rawkins Building
[72, 81]
|
a carpark
[73, 81]
|
a carpark
[74, 81]
|
a warehouse
[75, 81]
|
Mellish Walk Fire Station
[76, 81]
|
Broadbelt Alley
[77, 81]
|
Leave Lane Railway Station
[78, 81]
|
the Jarrett Building
[79, 81]
|
Tidcombe Crescent School
[70, 82]
|
Delaney Square
[71, 82]
|
a warehouse
[72, 82]
|
a carpark
[73, 82]
|
a warehouse
[74, 82]
|
wasteland
[75, 82]
|
Bland Auto Repair
[76, 82]
|
Greenwood Drive
[77, 82]
|
the Trollope Building
[78, 82]
|
a junkyard
[79, 82]
|
Gerard Crescent Police Dept
[70, 83]
|
Hewer Drive
[71, 83]
|
a junkyard
[72, 83]
|
Lockwood Way
[73, 83]
|
Cummings Bank
[74, 83]
|
Horsington Grove School
[75, 83]
|
Methringham Bank
[76, 83]
|
Cornillon Avenue
[77, 83]
|
a factory
[78, 83]
|
Gayleard Place
[79, 83]
|
a warehouse
[70, 84]
|
St Rosalia's Church
[71, 84]
|
a cemetery
[72, 84]
|
Prendergast Place
[73, 84]
|
wasteland
[74, 84]
|
Club Cort
[75, 84]
|
the Stark Building
[76, 84]
|
Wanstall Road
[77, 84]
|
a junkyard
[78, 84]
|
the Tompson Building
[79, 84]
|
the Burton Building
[70, 85]
|
the Glessell Building
[71, 85]
|
the Sealey Building
[72, 85]
|
Levett Row
[73, 85]
|
the Bentley Hotel
[74, 85]
|
Scanes Place
[75, 85]
|
Ledward Park
[76, 85]
|
wasteland
[77, 85]
|
a carpark
[78, 85]
|
Shwalbe Crescent
[79, 85]
|
Quantock Row
[70, 86]
|
a carpark
[71, 86]
|
a warehouse
[72, 86]
|
the Garniss Building
[73, 86]
|
Humphrey Lane
[74, 86]
|
the Draper Arms
[75, 86]
|
the Bondfield Building
[76, 86]
|
the Barratt Building
[77, 86]
|
Pryer Drive
[78, 86]
|
Page Towers
[79, 86]
|
Comitty Drive
[70, 87]
|
Meetcham Library
[71, 87]
|
Turnock Drive Railway Station
[72, 87]
|
Stayner Road
[73, 87]
|
St Spyridon's Hospital
[74, 87]
|
a warehouse
[75, 87]
|
Club Strudwick
[76, 87]
|
the Ilderton Monument
[77, 87]
|
a warehouse
[78, 87]
|
the Mickleroy Building
[79, 87]
|
the Nurley Motel
[70, 88]
|
Lovell Alley
[71, 88]
|
Karnaus Row Fire Station
[72, 88]
|
St Telesphorus's Hospital
[73, 88]
|
the Basson Building
[74, 88]
|
the Angell Building
[75, 88]
|
Nelmes Plaza
[76, 88]
|
the Beech Motel
[77, 88]
|
Doddimeade Crescent
[78, 88]
|
Drennan Square
[79, 88]
|
Brixey Boulevard School
[70, 89]
|
the Tryme Building
[71, 89]
|
Luellin Towers
[72, 89]
|
Adlam Towers
[73, 89]
|
Hillard Road Police Dept
[74, 89]
|
the Sever Building
[75, 89]
|
Maguire Avenue
[76, 89]
|
Ponting Alley
[77, 89]
|
Gillespie Cinema
[78, 89]
|
the Ottewill Arms
[79, 89]
|
|
Menu
City Map
Find Location
Route Finder
World View
Map Mirror
|


Progressive GAN Implementation
Link (code): https://github.com/altairmn/progressive-gan
Paper: https://arxiv.org/abs/1710.10196
Overview
Progressive GANs work by gradually adding layers to the discriminator and generator of the GAN during training. The benefits of this approach include faster training, reduced amortized memory and GPU usage over the course of training, and qualitatively better results. This paper is focused on training a GAN for generating from the distribution of CelebA-HQ dataset.
Notable Points
Loss function is the wasserstein loss. Generator outputs an image from the toRGB layer, and the discriminator takes in an image in the fromRGB layer. toRGB layers: \(n \to 3\) channels, fromRGB layers: \(3 \to n\) channels.
Generator Input input samples are from a 512 dimensional hyper sphere. So to sample for the generator, take a 512-dim random sample, and then normalize it to norm = 1
Initialization: All weights in the network are initialized using a (0,1) normal distribution and bias with 0
LCN (Local Response Norm) is used in the generator after every Conv layer. LCN normalizes each pixel slice across channels, and normalization constant is square root of average sum of squares. More on LCN
nn.LocalResponseNorm(size = 2 * self.channel_dims[self.progress], alpha = 2, beta = 0.5, k = 1e-8)
- Minibatch standard deviation layer: after the last layer of the discriminator, there is a minibatch standard deviation layer. it computes the standard deviation for each feature in each spatial location across a minibatch. Then all these values are averaged to arrive at a single value. Then this value is replicated to create an extra channel (making channels go from \(512 \to 513\)) and concatenated to the input to the discriminator output layer.
def stddev(self, x):
"""
Compute stddev
"""
y = torch.sqrt(x.square().mean(dim=0) - x.mean(dim=0).square())
return torch.mean(y)
- Equalized Learning Rate: This is the most tricky part of the paper. The weights in the generator are scaled at runtime i.e. after each learning step, you'd rescale the weights in the network. Each weight is set as \(w_i = w_i/c\) where \(c\) is the constant from He's initializer. In this implementation, we use
apply_elr
method to scale the weights after each cycle of training.
def apply_elr(self):
for param in self.named_parameters():
if "weight" in param[0]:
param[1].data = param[1].data * getHeMultiplier(param[1].data)
- Transition: When adding a new layer to the discriminator and generator, there's an interim transition period to ensure that we don't start out cold with the new layers' weights. Transition for discriminator and generator is described here.
Architecture
The boxed sizes are the outputs of the fromRGB layers.
The boxed represent the input sizes to the toRGB layer
Transition
Each transition is two step:
- (b) Add new layers, and setup a new input/output layer depending on discriminator or generator
- (c) Discard the old input/output layers i.e. fromRGB and toRGB layers
To achieve this, this implementation uses the alpha
value as an indicator of the step (b) or (c).
Transition in Generator
def transition(self):
if self.alpha == 0.0:
self.progress = self.progress + 1
self.alpha = 0.5
self.inputs.insert(0, nn.Conv2d(in_channels=3,out_channels=self.channel_dims[self.progress],kernel_size=1))
self.layers.insert(0, nn.Sequential(
nn.Conv2d(in_channels=self.channel_dims[self.progress],out_channels=self.channel_dims[self.progress],kernel_size=3,padding=1),
nn.LeakyReLU(0.2),
nn.Conv2d(in_channels=self.channel_dims[self.progress],out_channels=self.channel_dims[self.progress-1],kernel_size=3,padding=1),
nn.LeakyReLU(0.2),
nn.AvgPool2d(kernel_size=2,stride=2)))
print("Adding transition layers")
else:
self.alpha = 0.0
print("Completing transition")
return self.progress
Transition in Discriminator
def transition(self):
if self.alpha == 0:
self.progress = self.progress + 1
self.alpha = 0.5
self.outputs.append(nn.Conv2d(self.channel_dims[self.progress],3,kernel_size=1))
self.layers.append(nn.Sequential(
nn.Upsample(scale_factor = 2, mode = 'nearest'),
nn.Conv2d(in_channels=self.channel_dims[self.progress-1],out_channels=self.channel_dims[self.progress],kernel_size=3,padding=1),
nn.LocalResponseNorm(size = 2 * self.channel_dims[self.progress], alpha = 2, beta = 0.5, k = 1e-8),
nn.LeakyReLU(negative_slope = 0.2),
nn.Conv2d(in_channels=self.channel_dims[self.progress],out_channels=self.channel_dims[self.progress],kernel_size=3,padding=1),
nn.LocalResponseNorm(size = 2 * self.channel_dims[self.progress], alpha = 2, beta = 0.5, k = 1e-8),
nn.LeakyReLU(negative_slope = 0.2)
))
else:
self.alpha = 0
Note how alpha
value is toggled. The progress
instance variable is useful to get the appropriate values of the dimensions for that stage of training.
❗ This implementation also uses an identity layer as a hidden layer to start for clean code. You can see it marked in the Discriminator architecture diagram.
Use of Local Response Norm
To control the magnitudes in the generator, LRN is employed. It normalizes each pixel \(a_{x,y}\) in the activation that the sum of \(N\) neighboring pixels across channels is 1. This is done like so: \[ b_{x,y} = a_{x,y}/\sqrt{\sum_{j=0}^{N-1} (a_{x,y}^j)^2 + \epsilon} \quad {\epsilon>0, <<<1} \]
Pytorch computes it in this way: \[ b_{c} = a_{c}\left(k + \frac{\alpha}{n} \sum_{c'=\max(0, c-n/2)}^{\min(N-1,c+n/2)}a_{c'}^2\right)^{-\beta} \] In this network, the whole vector across channels is normalized, so the layer is specified as
nn.LocalResponseNorm(size = 2*n, alpha = 2, beta = 0.5, k = 1e-8) # n is number of channels
we normalize the feature vector in each pixel to unit length in the generator after each convolutional layer.
In this implementation, we apply the normalization after the leaky ReLU layer, and not before.
>> Home


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March 10, 2003
Pantsless police accused of witchcraft
London Telegraph | Submitted by: Eris Kaos
"Claims that the Zambian police removed their underpants in order to search more effectively for a fugitive are the latest bizarre revelation in a row about the role of witchcraft in the capture of Zambia's most wanted man... But police said that, apart from the lack of underpants and their urination on traditional herbs found at Kalumba's hideaway, it was a conventional operation."
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Don't bother with solar power
San Jose Mercury | Submitted by: Soylent
They'll just tax you for it: "A California Public Utilities Commission proposal would slap a charge on consumers who start generating their own power. The reason: to cover the high costs of electricity the state bought for utility customers during the energy crisis two years ago... Though aimed at big businesses that fire up their own generators to escape high utility rates, the proposal also affects those who turn to solar power."
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Bogus degree sites shut down
BBC | Submitted by: Ann Onymous
"The operation, which employed 30 staff in Romania, targeted millions of people every day with circular e-mails... Investigator Tony Allen said: "It was a difficult operation to crack. The problem was that the people sending out the e-mails weren't conning anyone... "Those people who bought the degrees knew exactly what they were doing. The complaints we received were actually from colleagues of those who got jobs by lying."
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Meet England's greatest streaker
ESPN | Submitted by: Kreepy Monster
"The letter arrives in Mark Roberts' mailbox each time any English soccer club plays abroad. Sent by the football banning order authority, its directives are clear: On a designated date, surrender your passport at a local police station. On game day, sign in at the station as proof that you're in the country and not at the game. When the team returns, you may pick up your passport and resume normal life."
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Man is fake serial heimlich victim
Wire Services | Submitted by: GeppGirl
Man with bald spot fakes women into a reacharound: "It dawned on people that he was faking it after the newspaper ran a story earlier this week about a woman in a restaurant rescuing an anonymous choking man. The paper started getting calls from women saying they, too, had had encounters with a man who matched the description."
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Headmaster jailed for forging pupils test paper results
London Telegraph | Submitted by: UncleGum
"A headmaster was jailed for three months yesterday for forging answers on pupils' test papers because "he wanted to give the children the best start he could"... Claiming that he was under pressure to produce good results for the Government's league tables and without the funds or staff to achieve them, Alan Mercer, 46, admitted 14 sample counts of forgery at two Kent schools and asked for 140 other counts to be considered."
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Saddam ordering American, British uniforms
Gulf News Dubai | Submitted by: Boat6float
"Iraqi President Saddam Hussain has ordered military uniforms "identical down to the last detail" to those worn by U.S. and British troops so Iraqi paramilitary soldiers can commit atrocities against their own people while disguised as coalition forces... The accusation follows a series of allegations of planned Iraqi tactics made privately to journalists in recent days by U.S. officials on condition of anonymity, apparently in anticipation of Iraqi charges of American acts of brutality against civilians."
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Bush demands Potemkin audience
Mirror | Submitted by: KKKarl Rove
"George Bush pulled out of a speech to the European Parliament when MEPs wouldn't guarantee a standing ovation... Senior White House officials said the President would only go to Strasbourg to talk about Iraq if he had a stage-managed welcome. A source close to negotiations said last night: "President Bush agreed to a speech but insisted he get a standing ovation like at the State of the Union address. "His people also insisted there were no protests, or heckling."
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When ostriches fancy humans
Times | Submitted by: Hans Krule
Comming soon to the Jerry Springer show: "We found the females would often drop to their knees in mating position when humans were at the pen fence. Some male birds would try to take advantage of that, but their efforts were often clumsy and inept... The more the ostriches were interested in humans, the more hopeless they were at sex with other ostriches."
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Stop me before I bet again!
New York Post | Submitted by: wingnut
"Problem gamblers can now ask the state's racetracks and OTB parlors to stop them before they bet again.An emergency regulation enacted by the state Racing and Wagering Board establishes a procedure for bettors to have themselves voluntarily blocked from entering race tracks, simulcast theaters and Off-Track Betting parlors... An itchy gambler wanting to get off the list will have to go through a seven-day waiting period." Yup, that should work.
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Blacks invincible to junk food
Boston Globe | Submitted by: Dirty Sammy
"While a lot of fast food is clearly bad for white people, it seems to make no difference at all for blacks... The reason for this is unclear, but the researchers said the data suggest that black people's diets are often just as unhealthy at home as they are at the drive-through window. So a lot of fast food doesn't make matters any worse than they already are."
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Will my bum melt in this?
The Age | Submitted by: Eris Kaos
"At the Fuji Spinning Company in Japan, scientists have spent four years working on pants impregnated with seaweed extract and caffeine which can make people thinner. According to the company, half the participants in a trial claimed to have lost a few millimetres. The other half died laughing."
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Russian army crowns Miss Shooting Range
BBC | Submitted by: Ann Onymous
Oh, those beauty-loving Russians. Competence clearly takes a backseat even in the post-Soviet military: "The contestants who got to Moscow did so because they were the best in various categories: such as baking pancakes, singing, dancing and writing about the romance of their jobs... 'According to the rules, the distance between the floor and skirt hems should be no more than 40cm. But, in reality, our skirts are shorter because that way it looks more beautiful,' she added." Here she comes, Miss Epaulettes...
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Auto-darwin pending in Wisconsin
Milwaukee Journal Sentinel | Submitted by: f00f
"More than a dozen live explosive devices and a cache of ingredients for making more were discovered Friday at his apartment and in a nearby garage after the Thursday evening explosion, Hartford Police Chief Thomas Jones said... Joel Kennedy was sitting at his kitchen table grinding gunpowder when the blast occurred about 6:15 p.m., said Jill Stevens, manager of Evergreen Terrace apartments."
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Canada flash flood freeze
Disaster News | Submitted by: Boat6float
"What you will see is cars, trucks and houses embedded in a sea of ice," said Jim Ferguson, the Salvation Army's territorial disaster... The flooding occurred when an ice-flow clogged up three rivers near the small town of 1,200." Aritlce goes on to tell of the people who left, will have to wait until a thaw to go back home.
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Speed burns: advice to meth lab workers
The Commercial Appeal | Submitted by: Poots Brownhole
"As the number of burn victims from methamphetamine lab explosions and fires rises, doctors at burn units say they've had to take a new approach to treating patients...  "If they tell us and they're honest with us, then we can help them, but in two days the damage is irreversible."
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Man gives milk to snake, on flight
News Corporation | Submitted by: Mayhem303
"A passenger was offloaded after he tried to feed milk to his pet snake on a flight in southern India, a report said... Hajmi Chanda of Delhi had boarded the flight from the western tourist state of Goa, with his pet animal in his hand baggage."
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Prison guard confesses to stolen Dali
News Corporation | Submitted by: Mayhem303
And he would have gotten away with it if it weren't for those meddling prisoners (who noticed the switcheroo): "A New York City prison guard has confessed to stealing an original ink and pencil sketch by Salvador Dali from a prison and replacing it with a copy, local media reported... The work was last appraised in 1985 at $US175,000."
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Hybrid tilt-rotor aircraft tested
Wire Services | Submitted by: Mayhem303
"A hybrid aircraft that is part helicopter, part airplane and has the potential to change civil aviation took its first flight on Friday... The BA 609 has two Pratt & Whitney turboprop engines and can hold six to nine passengers, depending on its configuration. The main selling point of the aircraft is that it does not need a runway on either end of the flight."
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Drink to the Aggies till we wobble in our shoes
CNN | Submitted by: mike
"Could the New Mexico State University fight song be the most politically incorrect in the country? Some alumni say so, and are lobbying for a change... The song includes the line: "And when we win this game we'll buy a keg of booze and drink it to the Aggies 'til we wobble in our shoes." College kids drink? Why is this news?
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Cheney's Halliburton wins Iraq-War oilfield contract
San Francisco Chronicle | Submitted by: Mayhem303
"A company tied to Vice President Dick Cheney has won a Pentagon contract for advice on rebuilding Iraq's oil fields after a possible war... The contract was disclosed in the last paragraph of a Defense Department statement on preparations for Saddam Hussein's possible destruction of Iraq's oil fields in the event of a U.S.-led invasion." Cheney was CEO of Halliburton.
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Jacob Levy is a recent graduate of Muhlenberg College, where he double majored in Media & Communications and Film Studies. While Jacob loves watching numerous blockbusters such as Avengers: Infinity War, he is just as excited to watch foreign and independent films like The Square. Jacob enjoys writing for Gen Z Critics as it gives him a place to share his thoughts on overlooked films such as Krisha.


FREE WILLY 3: The Rescue 1997 A film review by Timothy Voon Copyright 1997 Timothy Voon 1 :-) for Willy
Cast: Jason James Richter, August Schellenberg, Annie Corley, Vincent Berry, Patrick Kilpatrick. Screenplay: John Mattson. Producer: Jennie Lew Turgend. Director: Sam Pillsbury.
Surprise yourself with this whale of a movie, where the ruthless killer is man and the Killer Whale is more humane than mankind. Willy is not the name of a hot dog, or your dangly 'uhum', but the name of Poseidon's stallion who roams freely within the stables of the sea. In the first instalment of "Free Willy", this Orca once in captivity, scales a towering wall of stone in the most memorable footage we have of flying whales. Now back with human chum Jesse (Jason James Richter), they battle against the likes of whalers eager for the tasty hump of Willy, worth a hefty sum on the Sushi market.
This is not a simple tale of good and evil. The Whaler (Patrick Kilpatrick) is a descendant of generations of his kind, hand taught the foul trade of whaling by his father, and by his father before him. It is now the time of initiation and the handing down of skill from father to son, but nature has the last laugh when Ahab's child (Vincent Berry) becomes mesmerised by the song of the giant beast. With torn loyalties and courageous fervour the child stands between his father's harpoon and the vengeance of the sea. He cannot reclaim his father's soul for him, until the hunter faces the beast.
I was impressed by the sensitivity by which this movie addressed such thematic issues as loyalty, father/son relationships and the complex characterisations of the hunter and hunted. By far one of the better children's movies of the year, when compared to the likes of "Simple Wish" and "Buddy". It came as a pleasant surprise when I was presented with sushi instead of a sardine sandwich. Now all I need is a karaoke machine, and I'll sing ya my made-up "Free Willy" song.
FREE WILLY SONG by TMT Voon - Can be sung to any tune.

Timothy Voon e-mail<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


- acceptingTrade - Variable in class com.example.littleync.gameActivities.MarketplaceActivity
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- acceptTrade(TextView, String) - Method in class com.example.littleync.gameActivities.MarketplaceActivity
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Check that the user and trades have been loaded in properly before proceeding to physically
process the trade in the DB
- acceptTradeDB(TextView, String) - Method in class com.example.littleync.gameActivities.MarketplaceActivity
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Method called for a User (the buyer) to accept a trade; we need to process this for the
current user as well as for the person who posted the trade (the seller), finally we also
need to delete this trade from the trades collection in the DB; this will show a helpful
toast message if the buyer does not have enough enough resources, or if previous trade
actions are still being processed; when this method is invoked, it sets a flag,
acceptingTrade, that only resolves once this trade is entirely finished being processed
(logically and physically in DB); once done, it automatically refreshes the user's
attributes at the top of the screen
- action() - Method in class com.example.littleync.gameActivities.ActionTimerActivity
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To be implemented by the concrete class; this differs depending on whether we want to chop
wood, fish for fish, or battle monsters
- action() - Method in class com.example.littleync.gameActivities.CendanaForestTimerActivity
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On this page, since it's the forest, we want to chop wood
- action() - Method in class com.example.littleync.gameActivities.EcopondTimerActivity
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On this page, since it's the Ecopond, we want to fish
- action() - Method in class com.example.littleync.gameActivities.SagaBattlegroundTimerActivity
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On this page, since it's the battleground, we want to deal damage to monsters
- actionAndRefresh() - Method in class com.example.littleync.gameActivities.ActionTimerActivity
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Call the action() method, which has the potential to update the TextViews; there is also the
check that the User has actually loaded in (since it is loaded in asynchronously)
- ActionTimerActivity - Class in com.example.littleync.gameActivities
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Abstract class we implement for woodchopping, fishing, and combat.
- ActionTimerActivity(String) - Constructor for class com.example.littleync.gameActivities.ActionTimerActivity
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Constructor for this abstract class which just sets the Log print for us to debug
- addExp(int) - Method in class com.example.littleync.model.User
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Add a specified amount of exp
- addFish() - Method in class com.example.littleync.EcopondActivityTest
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- addFish(int) - Method in class com.example.littleync.model.User
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Add a specified amount of fish
- addGold(int) - Method in class com.example.littleync.model.User
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Add a specified amount of gold
- addition_isCorrect() - Method in class com.example.littleync.ExampleUnitTest
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- addTrade(String) - Method in class com.example.littleync.model.User
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Adds a trade to the local User object, physically adds to both the current trades list and
the newTrades list; we need to ensure the local User object does not have more than 5
trades, but when we write to the DB, we need this separately maintained newTrades list
- addWood(int) - Method in class com.example.littleync.model.User
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Add a specified amount of wood
- aggLevelDisplay - Variable in class com.example.littleync.gameActivities.AttributesActivity
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- aggLevelDisplay - Variable in class com.example.littleync.gameActivities.MarketplaceActivity
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- aggLevelProgressDisplay - Variable in class com.example.littleync.gameActivities.AttributesActivity
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- aggLevelProgressDisplay - Variable in class com.example.littleync.gameActivities.MarketplaceActivity
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- aggregateLevel - Variable in class com.example.littleync.model.User
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- alive - Static variable in class com.example.littleync.SplashScreen
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- armory - Variable in class com.example.littleync.TravelActivity
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- ArmoryActivity - Class in com.example.littleync.gameActivities
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Armory Activity page which allows the user to upgrade their woodchopping, fishing, and/or combat
gear
- ArmoryActivity() - Constructor for class com.example.littleync.gameActivities.ArmoryActivity
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Sets the tag for the Log
- armoryButton(View) - Method in class com.example.littleync.TravelActivity
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Buttton that navigate players to Armory.
- AttributesActivity - Class in com.example.littleync.gameActivities
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Abstract class we implement for woodchopping, fishing, and combat.
- AttributesActivity(String) - Constructor for class com.example.littleync.gameActivities.AttributesActivity
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