DEAD MAN A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 7.0 Alternative Scale: *** out of ****
United States, 1996 U.S. Release Date: 5/10/96 (limited) Running Length: 2:00 MPAA Classification: R (Violence, profanity, sexual situations) Theatrical Aspect Ratio: 1.85:1
Cast: Johnny Depp, Gary Farmer, Lance Henriksen, Michael Wincott, Eugene Byrd, Robert Mitchum, Mili Avital, Gabriel Byrne, John Hurt, Alfred Molina Director: Jim Jarmusch Producer: Demetra J. MacBride Screenplay: Jim Jarmusch Cinematography: Robby Muller Music: Neil Young U.S. Distributor: Miramax Films
DEAD MAN, Jim Jarmusch's first feature since 1992's NIGHT ON EARTH, is a quirky chronicle of one man's physical and spiritual search for a place of belonging. Jarmusch chose to make DEAD MAN a western because, according to him, the genre is "very open to metaphor, and has deep roots in classical narrative forms." Actually, any kind of road picture could have been used to tell this oddly-compelling tale.
The main character is William Blake. He's not the William Blake, of course (the English poet), although a Native American named Nobody (Gary Farmer) accepts him as such. Blake is an accountant from Cleveland who travels to the frontier community of Machine sometime during the latter half of the 19th century. When he arrives, he learns that his would-be employer, John Dickinson (a scenery-chewing Robert Mitchum who spends half of his scenes yelling at a stuffed bear), has filled the position. At gunpoint, Dickinson tells Blake to get out of town.
Injured and on the run, Blake is befriended by Nobody, and the two travel together. Their destination is a mystical place where Blake's spirit can cross back to where it belongs. Along the way, they encounter a number of strange characters (including lawmen named Lee and Marvin), and are hunted by a trio of hired killers (Lance Henriksen, Michael Wincott, and Eugene Byrd) who are as likely to off one another as their quarry.
DEAD MAN is an undeniably strange movie, and sometimes it's hard to figure out what to make of it. Filmed in black-and-white with an eerie score by Neil Young, and using contemporary dialogue and mannerisms, Jarmusch's picture has a dream-like quality. It's filled with irony and subtle humor, but contains a serious message about the fragility and uncertainty of human existence. Blake, normally the mildest of people, discovers how easy it is to kill. In fact, he becomes wanted for a series of murders.
Johnny Depp has always been willing to take acting chances. From EDWARD SCISSORHANDS to ED WOOD, Depp has consistently sought out challenges. With William Blake, he breathes life into another in his series of oddball personalities. Depp's Blake is lost and injured both physically and spiritually. Playing opposite the lead actor, Gary Farmer portrays the enigmatic Nobody with a caustic edge that makes him very unlike other Native American movie "sidekicks". The impressive list of actors with cameo appearances includes Robert Mitchum, John Hurt, Gabriel Byrne, Crispin Glover, and Alfred Molina.
Even if it accomplishes little else, DEAD MAN will almost certainly inspire thought and discussion. This isn't the kind of movie that can be digested easily or immediately. Although I don't have all the answers, I recognize that this provocative, puzzling movie will stay with you long after the twangy strains of Neil Young's end credit music have faded away.
- James Berardinelli e-mail<EMAIL_ADDRESS>web: http://www.cybernex.net/~berardin
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


species trends abundance butterfly monitoring population insect declines annual butterflies Ohio models total data used habitat trend <. North year model sites traits {border-style Butterfly United Monitoring decline effects generalized px;} #ffffff;} climate use years analysis change counts Fig Table based estimated random sampling systematic Skipper associated changes rate species’ surveys America European editor. variation Ecology estimate indices linear phylogenetic programs species, temporal trends. using Conservation. [Internet]. common host Biological Brereton Insect Monarch Van agricultural environmental fixed long-term migratory mixed phenology plant site widespread -.% American Ecology. However, Ohio, Species declining estimates negative responses statewide study Biology Butterflies Conservation Fox Ohio. Roy Writing compared mean missing number observed px; relative reported {font-family ./-. Applied Data Dennis Ecological Hairstreak Kingdom States account additive declined font-size index observations populations range review shows specialist times Biology. Life Pollard Population Ries Sciences Species’ Swaay Swallowtail University abundance. change, conservation contribute defaunation double; growing human increase land monarch nitrogen package plants positive potential predictions proportion regional results season spatial survey trends, warming (-%) ./s--- Botham CAM Climate Common Department Diamond Duskywing Eastern Erynnis Fritillary Haddad Methods Northern Science State Thomas [], ability affect border-color border-width citizen development did duration ecology editing effect forest generations global history increased increases intervals life loss methods modeled monitored moths multiple neonicotinoid prairie program rates schemes science similar size solid; state studies summer time urban weekly winter {font-style {font-weight (,) (–) ./j.biocon... America. Appendix). Change Danaus Declines Europe Evolution. Generalized Great Land Long-term Methodology Midwestern National Oberhauser Papilio Polites Pollard-based Satyrium Science. Statistical Stefanescu Strien Swengel TRIM UKBMS USA Warren Wepprich White Wing analyses analysis. approach areas assess available baseline best bold bootstrapped broader butterflies. causes closely community comparable confidence counted courier; decades detection distributed diversity ecosystem em; expect factors findings fits generalist high included increasing indicators individual insects land-use length life-history limited locations modeling neonicotinoids obtained original poptrend practices program. programs, provides pt;} ranges records resources sequences shift source species. study, test trait transects trend. van voltinism volunteers walks


Hi, I'm Andrew!, and I'm a 4th year computer science student. My interests are front-end engineering and web development.


{% load static %}
The RESOLVE research effort is one of the longest running software engineering efforts in the USA. It spans foundational, practical, and educational aspects of software engineering and computing. The overall RESOLVE verification vision is that of a future in which no production software is considered properly engineered unless it has been fully specified, and fully verified as satisfying these specifications.
The RSRG is directed by Murali Sitaraman, from the School of Computing at Clemson University. The RESOLVE effort is funded in part by grants from the U. S. National Science Foundation (NSF), the U. S. Department of Education, and the U. S. National Aeronautics and Space Administration (NASA).
(REusable SOftware Language with VErification) is a programming and specification language designed for verifying correctness of object oriented programs.
The RESOLVE language is designed from the ground up to facilitate mathematical reasoning. As such, the language provides syntactic slots for assertions such as pre-post conditions that are capable of abstractly describing a program's intended behavior. In writing these assertions, users are free to draw from from a variety of pre-existing and user-defined mathematical theories containing fundamental axioms, definitions, and results necessary/useful in establishing program correctness.
All phases of the verification process spanning verification condition (VC) generation to proving are performed in-house, while RESOLVE programs are translated to Java and run on the JVM.


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object --+ | _base.BaseNotifier --+ | CIAXMLRPCNotifier
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changeset The changeset to process |
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Initialization
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Submits notification via XMLRPC to a CIA server
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Delivers the supplied message via XML-RPC
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Composes the XML message to send (a commit message according to http://navi.cx/svn/misc/trunk/cia/xml/schema.xsd)
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Adds revision timestamp to the message
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Adds the generator info to the message
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Adds the source info to the message
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Adds the actual commit info to the message
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Returns the number of changed lines It counts the number of minus lines and the number of plus lines and returns the greater value.
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Returns the number of changed lines for a diff
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Returns an URL associated with the changed file
To Do: add the ability to use raw subversion urls? |
Returns the action applied to the changed file
To Do: file renaming? |
Returns the type of the modified file
Notes:
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Returns the stripped path of a change
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Returns the name of the author
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Add multiple text elements
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Returns a new element containing text to the message
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| Generated by Epydoc 3.0.1 on Sun Sep 25 21:07:32 2011 | http://epydoc.sourceforge.net |


Replaces an
if-else
statement with an equivalent statement with a negated condition and swapped branches.


{% extends 'tweet_display/application.html' %} {% block content %}
The site is hosted and run by Bastian Greshake Tzovaras. When he is not diving in the data of Twitter archives he is tweeting himself at @gedankenstuecke, busy as Director of Research of Open Humans and co-founder of openSNP.
If you want to be in touch with Bastian you can reach him at<EMAIL_ADDRESS>Good point. I really didn't. There were people who directly and indirectly helped in making them. Because of this Thanks go to:
Madeleine Price Ball, Executive Director of Open Humans, helped with implementing the file-upload code that pushes the uploaded data to Open Humans.
Much of the map-based JavaScript stuff that is implemented here are remnants of a great workshop that Joey Lee gave at Mozfest 2016!
I'm pretty sure that I missed something cool that could be done with Twitter Archives. You can always let me know what I missed. But even better: This whole thing is open source. So you can open an issue on GitHub (thanks for that) or even directly contribute a pull request that adds the data visualization that you're missing!
Even better: If you have a great idea that would substantially extend the TwArχiv you can even be paid for doing so: Open Humans offers grants of $5,000 for the creation of projects. What I personally would love to see: Doing a Tweet-based sentiment analysis over time!
The short answer: No. TwArχiv uses Open Humans to store the data. By default Open Humans will not make your data publicly available and will not share the data with anyone.
Having said this: Open Humans gives you the option to make your data publicly available. To do this you can head over to Open Humans. On the page you will find the option to make your data fully public.
The same short answer: No. By default no one but you can access the graphs you see after your login. But if you want to share them with your closest 3,000 friends on Twitter you can do so. Just head to your settings and they are publicly available.
If you do this, your graphs will be public visualizations right here on the website. You can also choose to make the graphs private again at any point later on. Making your graphs on TwArχiv public or private does not relate to your Archive sharing settings on Open Humans.
Reading in all of your archive might take a while, depending on how prolific a Twitter user you are. Bastian's archive contains around 100,000 tweets and it easily takes some ~15 minutes to read in all that data and generate the graphs. Just have some patience and come back after sending some more tweets.
Sometimes things go wrong when reading in the files, sorry for that (also, did you follow the instructions to the letter?). If you suspect that this is the case please head to your settings and trigger a reprocessing of your data.
That didn't help either? Please email Bastian and you can jointly investigate what's going on.
Absolutely. If you want to update your archive for a newer version you can just head to your settings and upload a newer copy. We will automatically delete the old files and replace everything with newer copies.


Measure Each Live Oyster
Enter the measurements of all of the live oysters on each tagged substrate shell in the table below.
Repeat, using a new row for each oyster measurement. You can also copy and paste your data from a spreadsheet- click to view an example. (Rows will automatically be added to the end of the table as you type.)
Example:
Note: If you see a red background in a cell, check your numbers! The "Tag Number" column accepts values from 1-10, and the "Oyster Length" column accepts values from 1-250.


enzymeUsage Gives enzyme usages based on a provided flux distribution, as obtained from a full GECKO model. It can give: 1) absolute usage: the specific enzyme usage in ug/gDCW/h, which can be given for enzymes with- and without concentration information; 2) capacity usage: the ratio of available enzyme that is used, calcuted by (absUsage/UB) (note that capacity usage is 0 if an enzyme concentration was not constrained in the model); 3) UB: the upper bound of each enzyme exchange reaction, which may not be the same as the enzyme concentration, if it has been flexibilized 4) protID: the protein identifiers for each enzyme (if the model has an enzymes field than this order is used, otherwise it is given alphabetically. Input: ecModel an ecModel in GECKO 3 format (with ecModel.ec structure) fluxes vector of fluxes, for instance sol.x zero logical whether also enzymes with zero absolute usage should be included (Optional, default true) Output: usageData structure with enzyme usage data capUsage vector of enzyme capacity usages absUsage vector of absolute enzyme usages UB vector of enzyme exchange reaction upper bounds protID string array of matching protein IDs Usage: usageData = enzymeUsage(ecModel,fluxes,zero)
0001 function usageData = enzymeUsage(ecModel,fluxes,zero) 0002 % enzymeUsage 0003 % Gives enzyme usages based on a provided flux distribution, as obtained 0004 % from a full GECKO model. It can give: 0005 % 1) absolute usage: the specific enzyme usage in ug/gDCW/h, which can 0006 % be given for enzymes with- and without concentration information; 0007 % 2) capacity usage: the ratio of available enzyme that is used, calcuted 0008 % by (absUsage/UB) (note that capacity usage is 0 if an enzyme 0009 % concentration was not constrained in the model); 0010 % 3) UB: the upper bound of each enzyme exchange reaction, which may not 0011 % be the same as the enzyme concentration, if it has been 0012 % flexibilized 0013 % 4) protID: the protein identifiers for each enzyme (if the model has an 0014 % enzymes field than this order is used, otherwise it is given 0015 % alphabetically. 0016 % 0017 % Input: 0018 % ecModel an ecModel in GECKO 3 format (with ecModel.ec structure) 0019 % fluxes vector of fluxes, for instance sol.x 0020 % zero logical whether also enzymes with zero absolute usage 0021 % should be included (Optional, default true) 0022 % 0023 % Output: 0024 % usageData structure with enzyme usage data 0025 % capUsage vector of enzyme capacity usages 0026 % absUsage vector of absolute enzyme usages 0027 % UB vector of enzyme exchange reaction upper bounds 0028 % protID string array of matching protein IDs 0029 % 0030 % Usage: 0031 % usageData = enzymeUsage(ecModel,fluxes,zero) 0032 0033 if nargin<3 0034 zero=true; 0035 end 0036 if ecModel.ec.geckoLight 0037 error('This function does not work on GECKO light models.') 0038 end 0039 usageData.protID = ecModel.ec.enzymes; 0040 [~,rxnIdx] = ismember(strcat('usage_prot_',ecModel.ec.enzymes),ecModel.rxns); 0041 0042 usageData.LB = ecModel.lb(rxnIdx); 0043 usageData.absUsage = abs(fluxes(rxnIdx)); 0044 usageData.capUsage = abs(usageData.absUsage./usageData.LB); 0045 0046 if ~zero 0047 nonzero = usageData.absUsage<0; 0048 usageData.absUsage = usageData.absUsage(nonzero); 0049 usageData.capUsage = usageData.capUsage(nonzero); 0050 usageData.LB = usageData.LB(nonzero); 0051 usageData.protID = usageData.protID(nonzero); 0052 end 0053 end


Dwayne Johnson and Kevin Hart star in final Jumanji: The Next Level trailer
Dwayne “The Rock” Johnson and Kevin Hart have reunited for the final Jumanji: The Next Level trailer.
They are joined in the teaser by co-stars Jack Black and Karen Gillan as they encounter giant snakes and monstrous ostriches in the fantasy sequel.
Danny DeVito, Danny Glover and Awkwafina also star in The Next Level, the follow-up to 2017’s Jumanji; Welcome To The Jungle.
This time around the video game world they explore is different to what they have seen before, leaving some of the characters in the wrong avatars.
DeVito’s character finds himself in Johnson’s body and, examining his muscled physique, says: “I think my eyes are a different colour.”
“All of you is a different colour,” Hart quips.
Jumanji: Welcome To The Jungle was a surprise box office hit, grossing 962 million US dollars (about £742 million) worldwide.
That film was a reboot of 1995’s Jumanji, which starred Robin Williams.
Jumanji: The Next Level will be released in UK cinemas on December 11.


given the adjacency list below, how many friends would Joe visit if he were trying to get to Jesse using Breadth-First Traversal?
NOTE: your function should return the number of friends visited, not including Joe himself
const adjacencyList = {
'derek':['selam', 'dean'],
'joe':['selam'],
'selam': ['derek', 'joe', 'dean', 'evan'],
'dean': ['derek', 'evan', 'selam'],
'sam': ['jen'],
'evan': ['selam', 'jesse', 'dean'],
'jen':['sam', 'javier'],
'javier':['jen'],
'chris':[],
'jesse': ['evan'],
};
Given the adjacency list below, which friends would Joe visit if he were trying to get to Jesse using Depth-First Traversal?
NOTE: your function should return a list of friends visited, not including Joe himself.
const adjacencyList = {
'derek':['selam', 'dean'],
'joe':['selam'],
'selam': ['derek', 'joe', 'dean', 'evan'],
'dean': ['derek', 'evan', 'selam'],
'sam': ['jen'],
'evan': ['selam', 'jesse', 'dean'],
'jen':['sam', 'javier'],
'javier':['jen'],
'chris':[],
'jesse': ['evan'],
};
Given the binary tree below and a sum, determine if the tree has a root-to-leaf path such that adding up all the values along the path equals the given sum.
Use the following test-case: pathSum(5, 22) where 5 is the root node and 22 is the sum. Note: this function should return a boolean value indicating whether or not the sum is possible to achieve.
Given a binary tree, find its maximum depth.
The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Note: the depth at the root is 0.


Queen attack!
Enter your coordinates to play out this extreme duel
Queen x-coordinate
Queen y-coordinate
Target x-coordinate
Target y-coordinate
Go
Your queen is
in range of the target.


China central bank says will maintain prudent policy to prevent inflation from spreading
BEIJING, Nov 16 — China's central bank said today that it will maintain prudent monetary policy to prevent inflation from spreading.
In a third-quarter policy report released today, the People's Bank of China (PBOC) also said it will look to significantly lower real interest rates through reforms.
It said the weighted average lending rate fell 4 basis points in third quarter to 5.62 per cent
It also said it is looking at plans to switch the benchmark rate for existing loans to the new loan prime rate (LPR) that was launched in August. — Reuters


See: Description
org.apache.hadoop.metrics.spi
org.apache.hadoop.metrics.file
org.apache.hadoop.metrics.ganglia
private ContextFactory contextFactory = ContextFactory.getFactory(); void reportMyMetric(float myMetric) { MetricsContext myContext = contextFactory.getContext("myContext"); MetricsRecord myRecord = myContext.getRecord("myRecord"); myRecord.setMetric("myMetric", myMetric); myRecord.update(); }In this example there are three names:
private MetricsRecord diskStats = contextFactory.getContext("myContext").getRecord("diskStats"); void reportDiskMetrics(String diskName, float diskBusy, float diskUsed) { diskStats.setTag("diskName", diskName); diskStats.setMetric("diskBusy", diskBusy); diskStats.setMetric("diskUsed", diskUsed); diskStats.update(); }
MetricsRecord.update()
is called. Instead it is stored in an
internal table, and the contents of the table are sent periodically.
This can be important for two reasons:
registerUpdater()
method. The benefit of this
versus using java.util.Timer
is that the callbacks will be done
immediately before sending the data, making the data as current as possible.
ContextFactory factory = ContextFactory.getFactory(); ... examine and/or modify factory attributes ... MetricsContext context = factory.getContext("myContext");The factory attributes can be examined and modified using the following
ContextFactory
methods:
Object getAttribute(String attributeName)
String[] getAttributeNames()
void setAttribute(String name, Object value)
void removeAttribute(attributeName)
ContextFactory.getFactory()
initializes the factory attributes by
reading the properties file hadoop-metrics.properties
if it exists
on the class path.
A factory attribute named:
contextName.classshould have as its value the fully qualified name of the class to be instantiated by a call of the
CodeFactory
method
getContext(contextName)
. If this factory attribute is not
specified, the default is to instantiate
org.apache.hadoop.metrics.file.FileContext
.
Other factory attributes are specific to a particular implementation of this
API and are documented elsewhere. For example, configuration attributes for
the file and Ganglia implementations can be found in the javadoc for
their respective packages.Copyright © 2017 Apache Software Foundation. All rights reserved.


Select Medicine
TABDOZ SP
SYP OXCEE PLUS
BIOXIB TH
CALCILON
BIOXIB 90
0
5
10
15
20
Delete
add_box
print
Date:
Sr No.
Medicine
MRP
Quantity
Total Price
Discount %
0
5
10
15
20
Discount
Amount
Action
Total Amount
Discount
Amount Payable
0
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0


BristleBot Drive
Connection status:
UNCONNECTED
Ensure the
Motor Calibration
is optimised for straight line travel using the
Actuators window
Power
Max
Motor Cal
Adjust Cal.
Left:
Right:
Min
Steering
Left
Right
Center Steering
Start Motors


Keras: The Python Deep Learning library
You have just found Keras.
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
Use Keras if you need a deep learning library that:
- Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
- Supports both convolutional networks and recurrent networks, as well as combinations of the two.
- Runs seamlessly on CPU and GPU.
Read the documentation at Keras.io.
Keras is compatible with: Python 2.7-3.6.
Multi-backend Keras and tf.keras:
At this time, we recommend that Keras users who use multi-backend Keras with the TensorFlow backend switch to tf.keras
in TensorFlow 2.0. tf.keras
is better maintained and has better integration with TensorFlow features (eager execution, distribution support and other).
Keras 2.2.5 was the last release of Keras implementing the 2.2.* API. It was the last release to only support TensorFlow 1 (as well as Theano and CNTK).
The current release is Keras 2.3.0, which makes significant API changes and add support for TensorFlow 2.0. The 2.3.0 release will be the last major release of multi-backend Keras. Multi-backend Keras is superseded by tf.keras
.
Bugs present in multi-backend Keras will only be fixed until April 2020 (as part of minor releases).
For more information about the future of Keras, see the Keras meeting notes.
Guiding principles
-
User friendliness. Keras is an API designed for human beings, not machines. It puts user experience front and center. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear and actionable feedback upon user error.
-
Modularity. A model is understood as a sequence or a graph of standalone, fully configurable modules that can be plugged together with as few restrictions as possible. In particular, neural layers, cost functions, optimizers, initialization schemes, activation functions and regularization schemes are all standalone modules that you can combine to create new models.
-
Easy extensibility. New modules are simple to add (as new classes and functions), and existing modules provide ample examples. To be able to easily create new modules allows for total expressiveness, making Keras suitable for advanced research.
-
Work with Python. No separate models configuration files in a declarative format. Models are described in Python code, which is compact, easier to debug, and allows for ease of extensibility.
Getting started: 30 seconds to Keras
The core data structure of Keras is a model, a way to organize layers. The simplest type of model is the Sequential
model, a linear stack of layers. For more complex architectures, you should use the Keras functional API, which allows to build arbitrary graphs of layers.
Here is the Sequential
model:
from keras.models import Sequential
model = Sequential()
Stacking layers is as easy as .add()
:
from keras.layers import Dense
model.add(Dense(units=64, activation='relu', input_dim=100))
model.add(Dense(units=10, activation='softmax'))
Once your model looks good, configure its learning process with .compile()
:
model.compile(loss='categorical_crossentropy',
optimizer='sgd',
metrics=['accuracy'])
If you need to, you can further configure your optimizer. A core principle of Keras is to make things reasonably simple, while allowing the user to be fully in control when they need to (the ultimate control being the easy extensibility of the source code).
model.compile(loss=keras.losses.categorical_crossentropy,
optimizer=keras.optimizers.SGD(lr=0.01, momentum=0.9, nesterov=True))
You can now iterate on your training data in batches:
# x_train and y_train are Numpy arrays --just like in the Scikit-Learn API.
model.fit(x_train, y_train, epochs=5, batch_size=32)
Alternatively, you can feed batches to your model manually:
model.train_on_batch(x_batch, y_batch)
Evaluate your performance in one line:
loss_and_metrics = model.evaluate(x_test, y_test, batch_size=128)
Or generate predictions on new data:
classes = model.predict(x_test, batch_size=128)
Building a question answering system, an image classification model, a Neural Turing Machine, or any other model is just as fast. The ideas behind deep learning are simple, so why should their implementation be painful?
For a more in-depth tutorial about Keras, you can check out:
In the examples folder of the repository, you will find more advanced models: question-answering with memory networks, text generation with stacked LSTMs, etc.
Installation
Before installing Keras, please install one of its backend engines: TensorFlow, Theano, or CNTK. We recommend the TensorFlow backend.
- TensorFlow installation instructions.
- Theano installation instructions.
- CNTK installation instructions.
You may also consider installing the following optional dependencies:
- cuDNN (recommended if you plan on running Keras on GPU).
- HDF5 and h5py (required if you plan on saving Keras models to disk).
- graphviz and pydot (used by visualization utilities to plot model graphs).
Then, you can install Keras itself. There are two ways to install Keras:
- Install Keras from PyPI (recommended):
Note: These installation steps assume that you are on a Linux or Mac environment.
If you are on Windows, you will need to remove sudo
to run the commands below.
sudo pip install keras
If you are using a virtualenv, you may want to avoid using sudo:
pip install keras
- Alternatively: install Keras from the GitHub source:
First, clone Keras using git
:
git clone https://github.com/keras-team/keras.git
Then, cd
to the Keras folder and run the install command:
cd keras
sudo python setup.py install
Configuring your Keras backend
By default, Keras will use TensorFlow as its tensor manipulation library. Follow these instructions to configure the Keras backend.
Support
You can ask questions and join the development discussion:
- On the Keras Google group.
- On the Keras Slack channel. Use this link to request an invitation to the channel.
You can also post bug reports and feature requests (only) in GitHub issues. Make sure to read our guidelines first.
Why this name, Keras?
Keras (κέρας) means horn in Greek. It is a reference to a literary image from ancient Greek and Latin literature, first found in the Odyssey, where dream spirits (Oneiroi, singular Oneiros) are divided between those who deceive men with false visions, who arrive to Earth through a gate of ivory, and those who announce a future that will come to pass, who arrive through a gate of horn. It's a play on the words κέρας (horn) / κραίνω (fulfill), and ἐλέφας (ivory) / ἐλεφαίρομαι (deceive).
Keras was initially developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System).
"Oneiroi are beyond our unravelling --who can be sure what tale they tell? Not all that men look for comes to pass. Two gates there are that give passage to fleeting Oneiroi; one is made of horn, one of ivory. The Oneiroi that pass through sawn ivory are deceitful, bearing a message that will not be fulfilled; those that come out through polished horn have truth behind them, to be accomplished for men who see them." Homer, Odyssey 19. 562 ff (Shewring translation).


This option enables you to define and assign a value to a custom tag.
Example: Create a tag that holds the build number so that you compare test execution results between builds.
For tests run against build 54322, use: --tag buildNumber=54322
Tip: Use a custom tag to identify executions or groups of executions on the iTest Team Server Test Execution page.


- depression common and major cause of disability
Screening
”During the last month, have you often been bothered by feeling down, depressed, or hopeless?"
“During the last month, have you often been bothered by having little interest or pleasure in doing things?"
“During the past month have you been worrying a lot about everyday problems?”
Have you used drugs or drunk more than you meant to in the last year?
Have you felt that you wanted to cut down on your drinking or drug use in the past year
these 2 pick up 80% of current etoh and drug problems
HELP:
Is this something that you would like help with?
Risk/resilience
-
risk
-
parental history of depression
-
difficult temperament as a child
-
attachment difficulties/parental neglect
-
family discord
-
previosu depression/anxiety
-
ruminating over negatvie circumstances
-
-
reslience
-
good parenting
-
easy temperament as a child
-
good peer relationships
-
stability in love relationships
-
has coped with past difficulties well
-
Key symptoms
-
at least one of these, most days, most of time at least 2 weeks
-
persistent sadness/low mood
- "During the last month, have you often been bothered by feeling down, depressed, or hopeless?"
-
marked loss of interest of pleasure
- "During the last month, have you often been bothered by having little interest or pleasure in doing things?"
-
-
ask about associated features
-
disturbed sleep
-
decrease or increase appetite and/or weight
-
fatigue or loss of energy
-
agitation or slowing of movements
-
poor concentration or indecisiveness
-
feels of worthlessness or excessive or inappropriate guilt
-
suicidal thoughts or acts
-
-
also:
-
duration
-
associated disability
-
past and hamily histoyr of mood disorders
-
social support
-
subthreshold depressive symptoms
\<5 symptoms
mild depression
≥ 5 and only minor functional impairment
moderate
between mild and severe
severe
markedly interfere with functioning
most symptoms
with or without psychotic symptoms
symptoms shoudl be present for at least 2 weeks and every symptom should be present for most of every day
DSM V - Major depressive episode
5 or more of for 2 weeks:
depressed mood for most day, nearly every day
markedly reduced interest or pleasure in all, almost all of days activities
insomnia or hypersomnia
worthlessness/excessive/inappropriate guilt
significant weiht loss / gain
psychomotor agitation or retardation
decrease ability to think or concentrate or indecisiveness nearly every day
recurrent thoughts of death/suicide/suicide attempt
Assessment
-
K10
-
measures psychological distress
- anxiety and depression
-
-
PHQ9
-
9 key symptoms of depression
-
how much they have been present over the last fortnight
-
10-14 mild
-
Active management
-
lifestyle review
-
identification of stressors
-
supprt strategies
-
how to achieve change
-
-
-
15-19 moderate
- Active managmeent and either an SSRI or structured psycholigcal intervention
-
≥20 severe
-
Active management
-
antidepressent
-
plus structured psychological intervention
-
-
-
AUDIT
-
etoh and substance abuse
-
contrasts with CAGE questionnaire
- used to assess eoth dependence
-
-
GAD 7
-
anxiety
-
7 questions
-
5-9 = mild
-
10-14 = moderate
-
15-21 = severe
-
-
factors that favour general advice and active monitoring
-
≤4 of above symptoms with little disability
-
symptoms intermittent or ≤2week duration
-
recent onset with identified stressor
-
no past or family history of depression
-
socail support availbale
-
lack of suicidal thoughts
-
-
Factors that favour more active treatment in primary care
-
≥5 symptoms with associated disability
-
persistent or long sstanding symptoms
-
personal or fhx of depression
-
low social support
-
occ. suicidal thought
-
-
Factors that favour referrral to mental health professionals
-
inadequate or incomplete response to ≥2 interventions
-
recurrent episode within 1 yr
-
history suggestive of bipolar
-
person with depression or relatives request referral
-
more persistent suicidal thoughts
-
self neglect
-
-
Factors that favour urgent referrla
-
actively suicidal ideas or plans
-
psychotic symptoms
-
severe agitation accompanying severe symptoms
-
severe self neglect
-
management
national depression initiative
The low down - young people’
moodgym - CBT/Interpersonal therapy
climate.tv - groups of websites
mild-moderate
Non pharmacological
-
CBT
-
active structured intervention
-
work collaboratively identify effcts of:
-
thoughts
-
beliefs
-
interpretations
-
-
devleop skills to identify, monitor and counteract probelms
-
individual guided self help based on principles of CBT
-
include provision of written materials
-
supported by trained practitioner
-
typically facilitates self help programme
-
6-8 sessionns
- 9-12 weeks
-
-
-
computerised cognitive behavioural therapy
-
standalsne computer based or web based prgoramme
-
include explanation of cbt model
-
encourage tasks between sessions and use challenging and active monitoring of behaviour
-
supported by trained practitioner
-
9-12 weeks
-
supported by trained practitioner
-
-
-
structured group physical activity programme
-
interpersonal therapy
-
problem solving therapy
-
focuses on identifying specific problem areas adn working collaboratively to prioritise porbelms
- break them down into speicfic manageable taks
-
choose solutions and develop appropriate coping behaviours
-
-
behavioural activation
- less robust evidence
Pharmacological
-
SSRI
-
if prolonged (>2yrs)
-
past history of moderate - severe depression
-
Moderate-severe
-
SSRI + high intensity psychological intervention
-
CBT
-
Interpersonal therapy
-
relapse
-
continue medication for at least 6mo after remission
-
greatly reduces risk of relapse
-
antideprssant not associated with addiction
-
-
if risk of relapse should continue therapy at maintenece dose for 2 yrs
-
have had 2 or more episdoes of depression in the recent past
- significant functional impairment
-
other risk factors for relapse
-
residual symptoms
-
multiple previous episodes
-
history of severe or prolonged epsidoes or of inadequatge response
-
-
consequences of relapse likely to be severe
-
-
psychological interventions for relapse prevention
-
individual CBT
-
mindful based cognitive therapy
-
response to treatment:
-
remission
- only minimal signs of illness
-
response
- improvement of more than 50%
-
partial response
- reduction in sympotm severity of at least 25%
Suicide risk
-
most immediatley important factos are contextual triggerigng and current mental state
-
intent/definite plan
-
lethality of likely means
-
access to means
-
presence of risk factors
-
mental / physical illness
-
chronic pain
-
etoh use
-
-
hopelessness
-
psychosocial triggers
-
lack or presence of protective factors
-
-
single men; young, olderpeople
-
homelessness
-
recent suicide attempt by whanaua/family memeber
Young person
strength’s based approach
-
enhancing resiliency
-
minimising obstacles
-
componenets
-
identification and developments of skills and strengths
- might not be obvious
-
building motivation to deal with probelms
-
iincreasesocial interaction and enhancing relationships
-
encourage social interactions and enhance relationships
-
structured problem solving activity
STEPS
-
say what the problem is
-
think about what you could do
-
examine the possibilities and choose one
-
put it into action
-
see what happens
-
if it worked - great
-
if it diedn’t try again
-
immediate referral
-
serious suicidal intent
-
psychotic symptoms
-
severe self-neglect
Urgent
-
severe depression
-
persistent symptoms
-
profound hopelessness
-
other serious mental or substance use disorders
-
significnt functional impairment
-
suspected bipolar disorder
routine
-
active managmenet
-
active listening
-
problem identification
-
advice re simple self management strategies
-
active follow-up
-
-
clinical reassessment 2-4 weeks
-
if improvement
- monitor q1-2monthly
-
if no improvement
- refer secondary care mental health
-
antidepressants associated with increase suicidality in young people (1-2% to 2-4%)
- however the most common reason for suicidality and completed suicide = untreated or worsening mood disorder
Medications
all antidepressant drugs approx. equal in effectiveness
indivdiual response may vary
moclobemide may be useful if intolerant of other antideprssants (reversibel selective MAOi)
-
should notice response in 2-3 weeks
-
at 3-4 weeks
-
if no improvement o rminimal response
-
re-evaluate treatment
- add psychological intervention
-
-
-
at 4-6wks ifno response
-
increase dose
-
change
-
cahde/add psych
-
-
1/3 of patients have a relatviely slow response to antidepressants
-
all psychotropics lower seizure threshold
SSRI
-
first line
-
equally effective
-
favourable risk-benefit ratio
-
-
start at 20mg/day for most adults
- take in morninng due to risk of insomina
-
side effects
-
increase risk of bleeding
-
especially in older people
-
coprescribe
-
nsaid
-
oac
-
aspirin
-
-
-
consdier PPI
-
-
fluoxetine, paroxetine = higher propensity for drug interactions than other SSRI
-
citalopram relatively weak inhibitor cyp2d6
-
paroxetine associated with higher incidence of discontinuation symptoms
-
fluoxetine has long half life (1wk) so be careful when switching
-
reduce dose over 4 weeks
-
citalopram
-
max = 40mg/day
-
higher dose increase risk of QT prolongation and incidence of torsafes de pointes
-
no treatment benefit >40mg
-
SNRI
-
venlafaxine = highest risk of death from overdose
-
venlafaxine exacerbates cardiac dysrhythmia
- need to monitor BP
MAOi
-
must avoid foods rich in tyramine or sympathomimetic medication
- prevent hypertensive ccrisis
St. John’s wort
-
may be of benefit in mild/moderate depression
-
not prescribe or advise use
-
uncertainty about appr. dose
-
persistence of effect
-
variation in nature of preparations
-
potential serious interactions with other drugs
-
-
advise different potentcies and of potential serious interactions
Lithium
-
monitor renal and thyroid function before treatment and every 6mo during treatment
-
consider ecg monitoring
-
monitor lithium 1wk after initiation and each dose change and every 3mo therafter
Serotoniin toicity
-
abdominal cramps
-
agitation
-
diarrhoea
-
myoclonus
-
tremulousness
-
coma
-
tachycardia
-
hypotension
-
disoreintation
-
profuse sweating
-
hyperpyrexia
contributing
-
overdosage
-
drug interaction
-
ssri + Maoi
-
SSRI + serotonergic tca
-
clomipramine a
-
amitriptyline
-
imipramine
-
-
-
inadequate drug free interval
-
idosyncratic
pregnancy
-
ssri = firstline
- paroxetine avoided due to teratogenic risk
-
? shorter acting
-
consider TCA
- increase risk of premature labour
-
fluoxetine considred first choice
Postnatal depression
-
vary from ‘baby blues’ to postnatal depression, bipolar, postpartum psychosis
-
common
- 15% of all women
-
paternal derpession also common
-
risk factors
-
previous history of severe depression
-
depression and/or anxiety during antenatal period
-
partner who has developed derpession in the post natal period
-
limited eduction
-
other children in the family
-
-
EPDS has validity and reliability in men
-
-
strongest risk factors
-
depression durin gantenatal period
-
past history of depression
-
previous diagnosis of postnatal depression
-
-
symptoms
-
similar as those with general depression
-
subtle changes in behavior may be first symptoms
-
traditional symptoms may be hidden
-
libido
-
weight change
-
sleep disturbance
-
-
often:
-
appera/complain of overwhelmed by motherhood and needs of infant
-
feel trapped, angrey, fearful or panicky
-
-
symptoms;
-
depressed mood
-
irirtability
-
tiredness and fatigue
-
insomnia
-
loss of appeitie
-
low libido
-
poor concentration
-
feelings of guilt about inability to look after new infant
-
-
tiredness often first symptoms to be noticed and last to resolve
-
usually appear first 1-3mo following delivery
-
onset can occur at any time in first year
-
most cases resolve spont. within 3-6mo
- 1 in 4 affected @ 1yr
-
Edinburgh postnatal depression scale
-
mother how feeling in previous 7d
-
all items must be completed
-
should complete self
-
avoid discussing by self
-
score:
-
0-9 = mild
-
10-12 = repeat 2/52 and continue
-
13+ = likelihood depresison = high
-
-
on item 10 needs further evaluation before leaving
-
-
Baby blues
-
temporary condition
- 70-80% of women
-
so common often considered normal part of emotional changes
-
symptoms
-
mood lability
-
tearfullness
-
mild symptoms of anxiety or derpession
-
-
symptoms usually peak d3-5 post partum
-
should completley resolve 10-14d
-
prolonged/severe = risk factor for post natal depression
-
women should be reviewed after 10th postpartum day
Puerperal psychosis
-
2/1000 births
-
sudden onset (1-2wk) post partum
- psychotic ysmpotms
-
life threatening to both mother and infant
-
immediate referral
Bipolar disorder
-
childbirth can trigger a bipolar disorder (severe)
-
key factors whether previous episode of depression might have been bipolar:
-
onset \<20yo
-
presence of psychomotor symptoms
-
severe symptoms and signs
-
wothlessness
-
guilt
-
hopelessness
-
marked sleep disturbance
-
poor self-care
-
appetitet
-
weight loss
-
-
slowing of thought/movement
-
-
family history
-
Management
-
collaboration
-
active support and self management
-
execise
-
making time for pleasurable activity
-
-
education and support
-
not a personal failure
-
commmon
-
erspons to treatment
-
especially in understaning and supportive environment
-
-
-
Stepped care
-
mild - moderate
-
CBT
- working with a therapist to challenge negative thoughts and beliefs
-
interpersonal therapy
-
work with a therapist to learn ways to improve your relationships with other people
-
non directive counselling
-
psychodynamic therapy
-
-
-
moderate- severe
-
antidepressant
-
indications
-
moderate - severe depression at least 2 weeks
-
significant anxiety or panic
-
psychomotor change or significant biological
-
previous response to antideprssant
-
-
in consultation with maternal mental health
-
SSRI = first choice
-
paroxetine, citalopram and fluoxetine ok with BF
-
-
-
-
monitoring
-
Older people
Causes/diagnosis
-
associated
-
cerebrovascular disease
-
parkinson’s disease
-
coronary heart disease
-
endocrine disorder
-
sleep disorders
-
-
medicines associated
-
bdz
-
opioids
-
antipsychotics
-
betablockers
-
corticosteroids
-
antivonculsants
- increase gabapentin/carbamazepine
-
NSAID
-
antiparkinson agents
-
h2 antagonists
-
-
diagnosis can be challenging
-
ddepression
-
often abrupt coinciding with life changes
-
duration = months - years
-
progression - variable and uneven
-
thinking inctact themes of helplessness/negative
-
memory selective/patchy
-
early morning wakneing
-
clear awareness
-
noraml alertness
-
minimal impairment of attention but eaily distracted
-
-
dementia
-
chronic generally insidious
-
months - years
-
slow but even
-
scarcity of thought, poor judfement, words hard to find
-
impairmed
-
sleep often disturbed, nocturnal wandering
-
clear awareness
-
normal alertness/attnetino
-
-
delirium
-
sudden onset - often twilight
-
duration hours - less than 1 mo
-
abrupt, fluctuationg progression
-
thinking, disorganised, slow, incoherent
-
memory, impaired, sudden
- immediate memory loss may ne ntivable
-
nocturnal confusion
-
reduced awareness
-
fluctuating alertness
-
impaired attention - fluctuates
-
-
consider
-
3ds
-
complete physcial
-
adverse effects of medicines
-
CBC and TFTs
-
Na, Cr, B12, folate
-
-
Assessment
-
GPCOG
-
GP assessment of cognition
-
reliable, valid and efficient instrument
-
2 parts; patient and informant
-
-
GDS
-
score > 10 = depression
-
Management
-
older people respond well
-
exerices
- avavilable evidence supports
-
psychosocial
-
antidepresants
-
moderate - severe
- alwyas in conjucntion with non-pharmacological
-
-
SSRI = first line
-
similar effectiveness to TCA and are better tolerated
-
Citalopram
-
less drug interactions
-
less nausea
-
hosrt hlaf life
- caution re discontinuation syndrome
-
-
Escitalopram
-
Fluoxetine
-
signifcnat number of drug interactions
-
long half like
- slowewr reversal but discontinuation syndrome unlikley
-
active metabolite also inhibits hepatic enzyme
-
-
Paroxetine
- very short half life
-
mirtazepine
- cause weight gain
-
venlafaxine
- raise BP
-
-
antidepressant and risk of falls
-
sedation and impaired reaction time
-
impaired balance
-
insomnia
-
orthosttaic hypotension
-
cardiac rhythm and conudction disorder
-
tendnencey to cause movement disorder
-
-
Co-morbidities;
-
cardica sisease
-
venlafaxine
-
TCA
-
-
epilepsy
-
most antidepressants lower seizure threhold
- use low doses with gradual titration
-
-
Glaucoma
-
TCA can ppt. acute narrow angle glaucoma
-
SSRI less likely to be a problem
-
-
Prostatic disease
- TCA may cause urinary retention
-
Parkinsons’
- SSRI usually ok
-
-
antidepressant induced hyponatraemia
-
risk factors:
-
older age
-
low body weight
-
female
-
previous history ofhyponatramiea
-
reduced renal function
-
concurrent intake of other hyponatraemic medicines
- diuretics
-
-
usually occur in first 4 weeks
-
check baseline before starting
-
2 weeks and agian 3mo and 12mo
-
consider after adding or changing dose
-


ObjUtil
A class with static util methods for working with objects.
Static Method Summary
| Static Public Methods | ||
| public static |
Performs a shallow comparison of two objects and returns an array containing the names of changed properties, or |
|
| public static |
Like |
|
| public static |
Returns a new object that contains only specific values of an original object. |
|
| public static |
pojo(value: any): any Deeply converts an immutable or mixed value to a plain javascript object. |
|
| public static |
registerImmutable(immutable: object) Register the |
|
| public static |
Returns an object containing all properties except the ones specified via |
|
| public static |
Returns an array containing all values of an object, like as |
Static Public Methods
public static diff(a: object, b: object, names: Array<String>): * source
Performs a shallow comparison of two objects and returns an array containing the names of changed properties, or null
if all values were strictly equal.
Works with both immutable and plain JS objects.
Can be used for shouldComponentUpdate, e.g. if (Obj.diff(this.props, nextProps, ['name', 'address'])) { ... }
is basically the same as if (this.props.name !== nextProps.name || this.props.address !== nextProps.address) { ... }
Return:
| * |
public static keys(obj: object, options: object): object source
Like Object.keys
, but allows you to omit certain names.
Return:
| object | A new object containing all keys (property names) of the object except the excluded ones |
Example:
Obj.keys(this.props, {not: ['onClick']})
public static pick(obj: object, keys: Array): object source
Returns a new object that contains only specific values of an original object. If the original object was immutable, the result will be immutable too.
public static pojo(value: any): any source
Deeply converts an immutable or mixed value to a plain javascript object.
If the given object itself was a primitive, undefined
or null
, it is returned as-is.
Params:
| Name | Type | Attribute | Description |
| value | any | A plain or immutable value |
Return:
| any | A plain object or a primitive value. |
public static registerImmutable(immutable: object) source
Register the immutable.js
library.
This is only required by the pick()
method when used on immutable objects.
Params:
| Name | Type | Attribute | Description |
| immutable | object | The |
Example:
ObjUtil.registerImmutable(require('immutable'))


Welcome {{ data['local-authority'] }}!
You can apply for access to the following eligibility check services.
If the eligibility check you want to perform isn't listed, please get in touch with us.
You can apply for access to the following eligibility check services.
If the eligibility check you want to perform isn't listed, please get in touch with us.


A unit of solid angle, symbol sr.
Given a sphere of unit radius, a region of unit area on the surface of the sphere subtends a solid angle of one steradian at the centre of the sphere.


An advanced online playground for Tailwind CSS, including support for things like:
Customizing your
tailwind.config.js
file
Extracting classes with
@apply
Code completion with instant preview
Perfect for learning how the framework works, prototyping a new idea, or creating a demo to share online.
Want to dig deeper into Tailwind?


Hi, my name is George Gaylor. I was in the US Army for 7 years and continued on to college. I've worked in the industry as a Test Engineer and Support Analyst and I'm here to level up my skills. I enjoy spending time with my family and playing video games in my free time, as well as tinkering with Linux.
My name is Powen Chang. I served in the U.S Navy for four years as a welder. I am currently attending codefellows to pursue my passion for programming. My dream one day is to become a developer in Python. I also have a few hobbies that I enjoy very much such as basketball, ultimate frisbee, hiking and occasional traveling.
Hi my name is Mark Hangarter. I was in the US Navy for five years and enjoyed every bit of it (not). My passion is gaming and developing, hence why I joined code fellows. I am here to further my abilities in Javascript and be able to make a living doing what I love.
Hey, my name is Vitaliy! For the past 9 years of my life I worked in the auto industry as a finance manager. Three months ago, I finally decided to take a leap of faith and quit my job to pursue the unknown. Yes, coding! Within these three months, I’ve learned so much more then I thought I ever would. Quitting my job and putting my fishing hobby on hold to learn code was well worth it.


José San Gil / @jsangilve
I've been using Ember for 14 months
"My API uses JSON format but...it isn't a JSON API".
- Someone starting with Ember
JSON API specification is the default JSON format followed by Ember Data since Ember Data 2.0 (It was introduced with Ember 1.13)
It looks like this...
{
"data": [{
"type": "articles",
"id": "1",
"attributes": {
"title": "JSON API paints my bikeshed!",
"body": "The shortest article. Ever."
},
"relationships": {
"author": {
"data": {"id": "42", "type": "people"}
}
}
}],
"included": [
{
"type": "people",
"id": "42",
"attributes": {
"name": "John"
}
}
]
}
"...my API uses JSON format but doesn't look like that"
You just need to learn about these classes:
Tell Ember how to connect to your API (URL, Headers)
Tell Ember how to format data sent and received from the server
You aren't going to use DS.JSONAPIAdapter
You aren't going to use DS.JSONAPISerializer
You have a REST API
Your API uses JSON Format
You have to choose between:
DS.JSONSerializer
Expects simple data without extra information or attributes
HTTP GET /api/team/1
{
"id": 1,
"name": "Leicester City FC",
"nickname": "The Foxes",
"founded": 1884,
"ground": "King Power Stadium",
"manager": "Claudio Ranieri",
"league": 1
}
DS.JSONSerializer
Another endpoint. Serializer will expect...
HTTP GET /api/leagues
[
{ "id": 1, "name": "Premier League", "confederation": "UEFA", "founded": 1992, "numberOfTeams": 20, "country": "England"},
{ "id": 2, "name": "Primera División España", "confederation": "UEFA", "founded": 1929, "numberOfTeams": 20, "country": "Spain"},
{ "id": 3, "name": "Serie A", "confederation": "UEFA", "founded": 1929, "numberOfTeams": 20, "country": "Italy"},
{ "id": 4, "name": "Bundesliga", "confederation": "UEFA", "founded": 1963, "numberOfTeams": 18, "country": "Germany"},
]
DS.RESTSerializer
We have this model
// app/models/team.js
import DS from 'ember-data';
const { attr, belongsTo } = DS;
export default DS.Model.extend({
name: attr('string'),
nickname: attr('string'),
founded: attr('number'),
ground: attr('string'),
manager: attr('string'),
league: belongsTo('league')
});
DS.RESTSerializer
Expects an extra attribute matching model name
HTTP GET /api/team/1
{
"team": {
"id": 1,
"name": "Leicester City FC",
"nickname": "The Foxes",
"founded": 1884,
"ground": "King Power Stadium",
"manager": "Claudio Ranieri",
"league": 1
}
}
DS.RESTSerializer
It's capable of processing sideloaded records included in the same response
HTTP GET /api/team/1
{
"team": {
"id": 1,
"name": "Leicester City FC",
"nickname": "The Foxes",
"founded": 1884,
"ground": "King Power Stadium",
"manager": "Claudio Ranieri",
"league": 1
},
"league": {
"id": 1,
"name": "Premier League",
"confederation": "UEFA",
"founded": 1992,
"numberOfTeams": 20,
"country": "England"
}
}
DS.RESTSerializer
Multiple records...
HTTP GET /api/leagues
{
"leagues": [
{ "id": 1, "name": "Premier League", "confederation": "UEFA", "founded": 1992, "numberOfTeams": 20, "country": "England"}
{ "id": 2, "name": "Primera División España", "confederation": "UEFA", "founded": 1929, "numberOfTeams": 20, "country": "Spain"}
{ "id": 3, "name": "Serie A", "confederation": "UEFA", "founded": 1929, "numberOfTeams": 20, "country": "Italy"}
{ "id": 4, "name": "Bundesliga", "confederation": "UEFA", "founded": 1963, "numberOfTeams": 18, "country": "Germany"}
]
}
José San Gil - @jsangilve


Featured Items Shop for items based on what we featured in this week {% include 'productsList.html' %}


| 027:003 Khan | : |
Those who perform As-Salat (Iqamat-as-Salat) and give Zakat and they believe with certainty in the Hereafter (resurrection, recompense of their good and bad deeds, Paradise and Hell, etc.). |
| 027:003 Maulana | : |
Who keep up prayer and pay the poor-rate, and they are sure of the Hereafter. |
| 027:003 Pickthal | : |
Who establish worship and pay the poor-due and are sure of the Hereafter. |
| 027:003 Rashad | : |
Who observe the Contact Prayers (Salat), give the obligatory charity (Zakat), and they are, with regard to the Hereafter, absolutely certain. |
| 027:003 Sarwar | : |
who are steadfast in prayer, who pay the religious tax, and who have strong faith in the life hereafter. |
| 027:003 Shakir | : |
Who keep up prayer and pay the poor-rate, and of the hereafter, they are sure. |
| 027:003 Sherali | : |
Who observe Prayer and pay the Zakat, and have firm faith in the Hereafter. |
| 027:003 Yusufali | : |
Those who establish regular prayers and give in regular charity, and also have (full) assurance of the hereafter. |
Concepts/Themes Covered: أركان الإسلام > الصلاة > أداء الصلاة > الحض عليها Pillars of Islam> The Prayers>Performing the Prayers> The Incitement to Pray أركان الإسلام > الزكاة والصدقات Pillars of Islam> Due Alms and Charities الإيمان > الإيمان بالله > الدعوة إلى الإيمان Faith> Belief In Allah> The Call for Faith الإيمان > الإيمان بالله > اليقين Faith> Belief In Allah> Conviction الإيمان > المؤمنون > صفات المؤمنين Faith> The Believers> The Believers' Characteristics الإيمان > اليوم الآخر > الإيمان باليوم الآخر Faith> The Hereafter> The Belief in the Hereafter القرآن الكريم > حقيقته وتصديقه للكتب الأوائل The Holy Quran> The Quran's Reality and its confirmation of the Previous Books تنظيم العلاقات المالية > الزكاة Organizing Financial Relationships>Due Alms
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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Video | The Justice League Cast Has Joined #ReleaseTheSnyderCut - What Now?
Video | The Justice League Cast Has Joined #ReleaseTheSnyderCut - What Now?
Wondering why the 'Snyder Cut' has become such a thing recently? Let us explain.
Wondering why the 'Snyder Cut' has become such a thing recently? Let us explain.


Are you sure you want to delete this Employee?
| Employee Code | Name | UserName | Job Title | Action | ||
|---|---|---|---|---|---|---|
| @employeeInfo.empCode | @employeeInfo.name | @employeeInfo.userName | @employeeInfo.jobTitles | |||
@(employeeList:List[views.forms.employee.EmployeeDetailsForm]) @viewClass.main("Employee|List")(""){
| Employee Code | Name | UserName | Job Title | Action | ||
|---|---|---|---|---|---|---|
| @employeeInfo.empCode | @employeeInfo.name | @employeeInfo.userName | @employeeInfo.jobTitles | |||


Ringgit opens higher in early trade
KUALA LUMPUR, Nov 18 — The ringgit opened higher against the US dollar today on lower demand for the greenback amid optimism around the United States-China trade negotiations, dealers said.
At 9.05am, the ringgit was higher at 4.1490/1540 against the greenback from last Friday’s close of 4.1515/1545.
Axi Trader Asia-Pacific market strategist Stephen Innes said the ringgit, along with other Asian currencies, would keep a close watch on the Chinese yuan, which is heavily exposed to the US dollar following the ongoing trade disputes.
Reports said China is silently diversifying its reserves to reduce its dependence on the world’s largest reserve currency and would manage its risk by diversifying its foreign exchange reserves into other currencies which may include the Japanese yen, the British pound and the euro.
Meanwhile, the ringgit was mostly lower against other major currencies.
The local note marginally decreased against the Singapore dollar to 3.0487/0528 from Friday’s close of 3.0468/0501 but was better against the yen at 3.8127/8184 from 3.8186/8217.
It eased against the British pound to 5.3593/3661 from 5.3430/3473 and declined versus the euro to 4.5871/5931 from 4.5725/5762. — Bernama


WEB 2
L2INFO - Part 1
Who am I ?
Michiel Missotten
Freelance
Working as web developer
Since 2009
Technologies
Web : Html / CSS
PHP
Java / Scala
Adobe Flex
I've been working for ...
Kiabi
Wid'op
Chronodrive
Auchan e-commerce
...
What are we going to talk about ?
Web development
Http, Html, Css, Php, Javascript, MySQL...
How are we going to do that ?
48 hours
by 3 hour split
lots of coding !
2 hour table exam
A few homework exercices
A big project !
Once upon a time...
there were computers 4>
When suddenly...
a cold war appears !
NASA
: National Aeronautics and Space Agency
DARPA
: Department of Defense’s Advanced Research Projects Agency
History
1962 : Idea of a network point 2 point
1965 : First implementation of communication
1969 : First message delivered
late 1970 : TCP and IP protocol
1980s : Tim Berners Lee creates WWW
1990 : First browser
Several initiatives
Arpanet : USA
Cyclades : France
National Physical Laboratory : England
Inter - net
What is a network ?
A group of entities communicating with each other
Topology
Point 2 point
Bus
Star
Ring
Mesh
Tree
Hybrid
Network sizes
PAN : 1 to 10
LAN : 10 to 100
MAN : 100 to 1000
WAN : 1000+
How do you identify a computer on a network ?
IP
& MAC
What is the web ?
Web = HTTP + URI + HTML
URI
Unique Ressource Identifier
Ex : http://www.twitter.com/iammichiel
HTTP
Client-server protocol
Request -> Response
Message = header + body
Request = Action + URI + message
Response = Code + message
Go further ?
Youtube - History of internet
Wikipedia - Internet
Wikipedia - Tim Berners Lee
Wikipedia - HTTP
Internet Society - Brief history of Internet
FunctionX - Introduction to Computer Networking


max_filter_length = np.max(lengths)
// Round the max filter length up to the closest power of 2
n_fft = int(2.0**(np.ceil(np.log2(max_filter_length))))
basis = util.pad_center(basis, n_fft, axis=1)
min_filter_length = np.min(lengths)
// Filters are padded up to the nearest integral power of 2
n_fft = basis.shape[1]
// FFT and retain only the non-negative frequencies
fft_basis = np.fft.fft(basis, n=n_fft, axis=1)[:, :(n_fft / 2)+1]


#include <sys/types.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <fcntl.h>
#include <unistd.h>
#include <errno.h>
#include <time.h>
#include <sys/stat.h>
#include <sys/time.h>
#include "zlib.h"
#include "gzlog.h"
Go to the source code of this file.
|
| typedef unsigned int | uint |
| |
| typedef unsigned long | ulong |
| |
|
| static int | log_lock (struct log *log) |
| |
| static void | log_touch (struct log *log) |
| |
| static int | log_check (struct log *log) |
| |
| static void | log_unlock (struct log *log) |
| |
| static int | log_head (struct log *log) |
| |
| static int | log_mark (struct log *log, int op) |
| |
| static int | log_last (struct log *log, int last) |
| |
| static int | log_append (struct log *log, unsigned char *data, size_t len) |
| |
| static int | log_replace (struct log *log) |
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| static int | log_compress (struct log *log, unsigned char *data, size_t len) |
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| static void | log_log (struct log *log, int op, char *record) |
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| static int | log_recover (struct log *log, int op) |
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| static void | log_close (struct log *log) |
| |
| static int | log_open (struct log *log) |
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| gzlog * | gzlog_open (char *path) |
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| int | gzlog_compress (gzlog *logd) |
| |
| int | gzlog_write (gzlog *logd, void *data, size_t len) |
| |
| int | gzlog_close (gzlog *logd) |
| |
Definition at line 289 of file gzlog.c.
| Class Members |
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int |
back |
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ulong |
ccrc |
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clen |
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end |
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int |
fd |
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off_t |
first |
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id[4] |
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off_t |
last |
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time_t |
lock |
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char * |
path |
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uint |
stored |
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ulong |
tcrc |
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ulong |
tlen |
|
| #define EXTRA sizeof(log_gzext) /* should be 35 */ |
| #define HEAD sizeof(log_gzhead) /* should be 16 */ |
| #define LOGID "\106\035\172" /* should be three non-zero characters */ |
| #define PULL2 |
( |
|
p | ) |
((p)[0]+((uint)((p)[1])<<8)) |
| #define PULL8 |
( |
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p | ) |
(PULL4(p)+((off_t)PULL4(p+4)<<32)) |
| #define PUT2 |
( |
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p, |
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a |
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) |
| do {(p)[0]=a;(p)[1]=(a)>>8;} while(0) |
| #define PUT4 |
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p, |
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a |
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) |
| do {PUT2(p,a);PUT2(p+2,a>>16);} while(0) |
| #define PUT8 |
( |
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p, |
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a |
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) |
| do {PUT4(p,a);PUT4(p+4,a>>32);} while(0) |
| typedef unsigned int uint |
| typedef unsigned long ulong |
| int gzlog_close |
( |
gzlog * |
logd | ) |
|
| int gzlog_compress |
( |
gzlog * |
logd | ) |
|
| gzlog* gzlog_open |
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char * |
path | ) |
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| int gzlog_write |
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gzlog * |
logd, |
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void * |
data, |
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size_t |
len |
|
) |
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| static int log_append |
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struct log * |
log, |
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unsigned char * |
data, |
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size_t |
len |
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) |
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struct log * |
log | ) |
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struct log * |
log | ) |
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log, |
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data, |
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log | ) |
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struct log * |
log, |
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last |
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log | ) |
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| static void log_log |
( |
struct log * |
log, |
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int |
op, |
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char * |
record |
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struct log * |
log, |
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int |
op |
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| static int log_open |
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log | ) |
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| static int log_recover |
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struct log * |
log, |
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| unsigned char log_gzbody[] |
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static |
Initial value:= {
1, 0, 0, 0xff, 0xff,
0, 0, 0, 0,
0, 0, 0, 0
}
Definition at line 331 of file gzlog.c.
| unsigned char log_gzext[] |
|
static |
Initial value:= {
52, 0, 0, 0, 0, 0, 0, 0,
52, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0,
5
}
Definition at line 319 of file gzlog.c.
| unsigned char log_gzhead[] |
|
static |
Initial value:= {
0x1f, 0x8b,
8,
4,
0, 0, 0, 0,
0, 0xff,
39, 0, 'a', 'p', 35, 0
}
Definition at line 306 of file gzlog.c.


External Packages used in Fudge¶
Fudge depends on some stand-alone packages that are also maintained by the LLNL Computational Nuclear Physics group. These ‘external’ packages are included with Fudge but have their own source tree and documentation:
pqu¶
Also known as physicalQuantitiesWithUncertainties, this is a Python package for managing values with units and (optional) uncertainties. For more information, see the package documentation here.
numericalFunctions¶
A package written primarily in C that handles many of the low-level data containers used by Fudge
and GND.
Documentation is available here
xData¶
A Python module containing basic data containers such as interpolation tables, arrays, matrices and tables. Some of the classes in xData use numericalFunctions internally for better performance.
crossSectionAdjustForHeatedTarget¶
A package written in C for the numerically-intensive task of Doppler broadening cross sections.
Documentation is available here
PoPs¶
Properties of Particles (such as mass, spin and parity, charge and halflife) are collected together in a particle database. The PoPs Python package is meant for reading and writing these particle databases.
Merced¶
A package written in C++ for computing transfer matrices for deterministic transport.
Documentation is available here
statusMessageReporting¶
The statusMessageReporting library provides more robust error message reporting for c codes. It is used by other externals such as numericalFunctions and crossSectionAdjustForHeatedTarget.


Take a walk through Mount Vernon, Iowa, and you'll see why it is unique among midwestern towns. Built on and around a long, rolling hill, it is home to one of the most attractive college campuses in the U.S. - Cornell College.
Mount Vernon's carefully tended Victorian-era homes and quaint business district recall an era of days gone by. This web site will help you become familiar with the architectural expressions of four distinct eras, which have shaped Mount Vernon's growth. Each era contributed to the town's prosperity, leaving its mark on local culture and the appearance of Mount Vernon today.
The Militatry Road Era, The Railroad Era, The Cornell College Era, The Lincoln Highway Era


Strange one this....
Standard SCT-013-000 CT sensor (no inbuilt burden)
If I put the sensor one way on the power cable, I get 35W (reading table lamp bulb) if I now reverse the clamp, I get a reading of 25W
Should/why is this happening??
Archived Forum |
|
CT sensor reading different +/- valuesSubmitted by stuart on Thu, 06/09/2012 - 21:58
Strange one this.... Standard SCT-013-000 CT sensor (no inbuilt burden) If I put the sensor one way on the power cable, I get 35W (reading table lamp bulb) if I now reverse the clamp, I get a reading of 25W Should/why is this happening??
» |
Re: CT sensor reading different +/- values
Rubbish
or a bit of mains being picked up somewhere, either on the c.t. cable or via the power supply is the most likely cause, but as you are synchronised to the mains, I would not discount digital interference from the processor itself getting back into the analogue input. I think your plugboard assembly might be at least partly to blame.
Take a look at the numbers: 30 W on a 240 V supply is how many mA / mV across the burden? In the simplest case you're adding this to or subtracting it from a 5 W signal - the spurious one that's being picked up from somewhere - and how many mV is that? I can't work through the numbers because I don't know your circuit values, but I think 300-400 µV is in the right order.
I think you need to be looking at ripple on power supplies and things like that for the source.
Re: CT sensor reading different +/- values
Stuart, what reading do you get when your lamp is off, and is this affected by which way around the CT is connected?
I've never seen more than a Watt of leakage when there is no current is flowing.
Re: CT sensor reading different +/- values
Probably just the plugboard then and my spaghetti wiring !
I'll take a look later at the leakage when no current is flowing, think its around <1W as well.
I'm using a 22ohm burden resistor (5% tollerance), followed by an opamp gain of about 19 (from memory might be lower!). Running from a 5v split (again via Opamp) to 2.5v dc offset.
Think it might be time to get the soldering iron and stripboard out.
Just remembered that I also need to invert the current samples as I'm using the OpAmp and this is inverting the signal!
Re: CT sensor reading different +/- values
I've just tried this test in the garage where my rig is as basic as they come: sensors on breadboard; the voltage sensor is a 'telecom' adapter which gives awful distortion, much worse than a Mascot; blue CT clamp with 150R burden hence high phase-shift; cut-down 'mini' sketch with PHASECAL = 1 hence no correction of phase-shift. System not calibrated. But, hey, it all works and provides hot water. The Mk2a will happen in due course ...
Anyway, by uncommenting the two lines containing energyInBucket_4led (just after the "WARNING" about Serial statements), the energy change per second can be easily displayed. Moving the CT to a test lead where no current was flowing, negligable leakage was detected either way round. With a 40W bulb, my readings were 27.5W in one direction and 29W in the other. For some reason, the value was always slightly greater in one direction. At this level of power, the current sensor is really struggling, so the coarseness of the ADC's resolution may well be coming into play here, as Robert has often pointed out.
Thankfully, when measuring higher loads - from 750W to 2kW - I saw very little difference when the CT was reversed. All of my readings look to be around 2/3 of their correct value so I have taken the opportunity to recalibrate my rig by changing the value of POWERCAL from 0.042 to 0.6. This change makes not the slightest difference once the system gets going, but it should now reach the 1800J point just that little bit quicker than it did before.
Both types of current clamp that I've bought indicate the direction that current should be flowing in. For the PV Diversion application, the net flow of current at the CT is zero, so there would seem to be no right or wrong way round. But when measuring a simple flow of current in a test circuit, the construction of the CT may favour detection better in one way than the other. Sorry, I can't recall which direction of flow gave the higher reading.
Re: CT sensor reading different +/- values
Because of screen-width limitations, the rawSampleTool that I posted a while back compresses data that's been measured on a scale of 0-1023 at the ADC to just 80 characters. Here is a version which displays the raw data for current just as it has been sampled by the Arduino with no compression (the voltage waveform is still compressed as before). Ideal for investigating the behaviour at small currents ...
Along with the sketch itself, two files of results are attached. One was taken in debug mode, the power flowing being nominally 25W. Having subtracted the nominal DC offset of 500 that is used in this mode, the output waveform is neat and symmetrical as expected, but see how few (simulated) ADC steps are involved. In the real world, it seems likely that the sequence of output samples could be significantly affected by the precise centre point of the waveform - i.e. how close it lies to the nearest decision level.
The second file shows a real 40W filament bulb being tested (in normal mode) using this sketch on my rig in the garage. There are three runs: first with the bulb off; then with it on, and with the CT in either direction. The resulting waveforms are rather grainy, and I wouldn't like to have to compare their power content in any detail. But that's what the Arduino does for us 24/7 - something to ponder about in my next free solar bath :)
Re: CT sensor reading different +/- values
Think it might be time to get the soldering iron and stripboard out.
And as you do so, pay attention to keeping the analogue and digital sides separate, keep both the analogue supply and its ground clean and free of digital signals and 50 Hz ripple.
Let's say you're looking for a 5 W equivalent ripple voltage that's being impressed on the c.t. input:
5 W @ 240 V = 21 mA.
Out of a 100 A : 50 mA c.t, that's 10.4 µA.
and across a 22 R burden, it's 230 µV.
So that's what you're looking for, and I was 50% out in my guess! To put it into context, you get more than that with 1 mA flowing across a joint with ¼ Ohm resistance.


This controls the amount of either randomization or stretch of the {_oscillator} tunings.
This is contained in the {Control_detune_cluster detune cluster} within the {Control_section}.
This is contained in the OSCILLATOR section of the right panel, under the following parameter number:
| {sw-set-split.png height=48} {sw-26.png height=48} |
This appears in the display as Tune Shift.
This is accessed via {_NRPN} 0,28. Since it is a {_bipolar} parameter, the values are offset by 64.
On the positive side, the display is in cents sharp at the top of the keyboard and flat at the bottom. On the negative side, the display is the maximum amount of random detuning at middle C; this is a half-scale detuning for a pleasing increase in the beat frequencies across the keyboard.
| MIDI | display | ||
| 14 | random 50\c | ||
| \b\n\b\n\b | \b\n\b\n\b | ||
| 63 | random 1\c | ||
| 64 | off | ||
| 65 | stretch 1\c | (default) | |
| \b\n\b\n\b | \b\n\b\n\b | ||
| 114 | stretch 50\c |


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Visually documenting differences from desktop Sassquatch and new mobile patterns.
Anything marked is available in Meetup chapstick, but coming soon to Sassquatch.
Pardon our dust!


Anthony Martial back to best after stopping sulking claims Ole Gunnar Solskjaer
Anthony Martial has turned his frown upside-down to score two goals in three games after returning from his Man Utd injury
by David McDonnell, https://www.mirror.co.uk/authors/david-mcdonnell/Ole Gunnar Solskjaer says Anthony Martial is back to his best after swapping sulks for smiles.
Martial has returned from a two-month injury lay-off with two goals in his last three games, with Solskjaer crediting it with a change in outlook.
“He looks happier,” said Solskjaer of Martial, who gained a reputation as a moody player under previous bosses Jose Mourinho and Louis van Gaal. “He seems happy.
“He’s an infectious boy, his smile and sense of humour, you can see he’s happy here and that rubs off on everyone and it’s great to see.
“I don’t think he has had a long run of games as a No.9 since he played many years ago as a boy, and now he’s maturing, he’s 24.
“You have to be obsessed with scoring goals as a No.9 and he’s looking more and more like a player who wants to score goals and not just show his tricks.
“For me, he’s matured a lot in his behaviour on the training ground as well.
“I believe we’ll see the best of him in the next few years.”
Meanwhile, United have chartered a flight to Kasakhstan for their Europa League tie against Astana for around 100 fans who lost their bookings when Thomas Cook collapsed.
Thomas Cook Sports, who were travel partners with United, had pre-sold travel packages to fans for the away leg of United’s tie against Astana.
United have confirmed that fans who can provide proof of booking with Thomas Cook will be awarded free return flights to the November 28 tie, a 6,000-mile round trip.
A United spokesman said: “We have been working through a range of contingency plans to minimise the impact of the Thomas Cook situation for our supporters.
“We are pleased to be able to confirm that Manchester United will be operating a complimentary trip to the forthcoming match against FC Astana in Kazakhstan for those who were impacted by the insolvency of Thomas Cook.
“Beyond the Astana fixture, we are investigating longer term options around facilitating European travel for our loyal fans.”


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Dilip Walse Patil of NCP appointed pro tem Speaker of Maharashtra assembly
by PTISenior NCP leader Dilip Walse Patil was appointed pro tem Speaker of Maharashtra Assembly on Friday ahead of the floor test of the Uddhav Thackeray-led Maharashtra Vikas Aghadi government.
NCP sources confirmed that Mr. Patil representing Ambegaon has been appointed as pro-tem Speaker.
The floor test is likely to be conducted on Saturday, they said.
Mr. Patil, serving his seventh term as legislator, replaced the BJP’s Kalidas Kolambkar, who was appointed as pro-tem Speaker earlier when the MLAs were administered oath.
Sena chief Uddhav Thackeray was sworn in as chief minister on Thursday.


Moment.js is a lightweight JavaScript date library for parsing, manipulating, and formatting dates. It is design to work in both the browser and in NodeJS. Moment supports dates in all standard formats, locales, relative time, and time zones.
To use this component you need install with the command:
mobileui install momentjs
See the Moment.js documentation and its resources at momentjs.com/docs.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/lean.20--make.20output.20on.20Windows.html ---
Trying to remotely debug a tooling issue on Windows with a beginner and I remember that lean --make path/to/file.lean
just sits there producing no output whatsoever on Windows, whereas on linux I get continually updated about which file and line the lean binary is currently working on. Is this something which can now be fixed?
I'd observed this as well but thought it was just my mingw installation being weird. It should be fixable.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


#
Immutable Update PatternsThe articles listed in Prerequisite Concepts#Immutable Data Management give a number of good examples for how to perform basic update operations immutably, such as updating a field in an object or adding an item to the end of an array. However, reducers will often need to use those basic operations in combination to perform more complicated tasks. Here are some examples for some of the more common tasks you might have to implement.
#
Updating Nested ObjectsThe key to updating nested data is that every level of nesting must be copied and updated appropriately. This is often a difficult concept for those learning Redux, and there are some specific problems that frequently occur when trying to update nested objects. These lead to accidental direct mutation, and should be avoided.
#
Correct Approach: Copying All Levels of Nested Data
Unfortunately, the process of correctly applying
immutable updates to deeply nested state can easily
become verbose and hard to read. Here's what an
example of updating
state.first.second[someId].fourth
might
look like:
Obviously, each layer of nesting makes this harder to read, and gives more chances to make mistakes. This is one of several reasons why you are encouraged to keep your state flattened, and compose reducers as much as possible.
#
Common Mistake #1: New variables that point to the same objectsDefining a new variable does not create a new actual object - it only creates another reference to the same object. An example of this error would be:
This function does correctly return a shallow copy of
the top-level state object, but because the
nestedState
variable was still pointing
at the existing object, the state was directly
mutated.
#
Common Mistake #2: Only making a shallow copy of one levelAnother common version of this error looks like this:
Doing a shallow copy of the top level is
not sufficient - the
nestedState
object should be copied as
well.
#
Inserting and Removing Items in Arrays
Normally, a Javascript array's contents are
modified using mutative functions like
push
, unshift
, and
splice
. Since we don't want to
mutate state directly in reducers, those should
normally be avoided. Because of that, you might see
"insert" or "remove" behavior
written like this:
However, remember that the key is that the original in-memory reference is not modified. As long as we make a copy first, we can safely mutate the copy. Note that this is true for both arrays and objects, but nested values still must be updated using the same rules.
This means that we could also write the insert and remove functions like this:
The remove function could also be implemented as:
#
Updating an Item in an Array
Updating one item in an array can be accomplished by
using Array.map
, returning a new value
for the item we want to update, and returning the
existing values for all other items:
#
Immutable Update Utility LibrariesBecause writing immutable update code can become tedious, there are a number of utility libraries that try to abstract out the process. These libraries vary in APIs and usage, but all try to provide a shorter and more succinct way of writing these updates. For example, Immer makes immutable updates a simple function and plain JavaScript objects:
Some, like dot-prop-immutable, take string paths for commands:
Others, like immutability-helper (a fork of the now-deprecated React Immutability Helpers addon), use nested values and helper functions:
They can provide a useful alternative to writing manual immutable update logic.
A list of many immutable update utilities can be found in the Immutable Data#Immutable Update Utilities section of the Redux Addons Catalog.
#
Simplifying Immutable Updates with Redux Toolkit
Our
Redux Toolkit
package includes a
createReducer
utility
that uses Immer internally. Because of this, you can
write reducers that appear to "mutate"
state, but the updates are actually applied immutably.
This allows immutable update logic to be written in a
much simpler way. Here's what the
nested data example
might look like using createReducer
:
This is clearly much shorter and easier to
read. However,
this only works correctly if you are using
the "magic"
createReducer
function from Redux
Toolkit
that wraps this reducer in Immer's
produce
function.
If this reducer is used without Immer, it will
actually mutate the state!. It's also not obvious just by looking at the
code that this function is actually safe and updates
the state immutably. Please make sure you understand
the concepts of immutable updates fully. If you do use
this, it may help to add some comments to your code
that explain your reducers are using Redux Toolkit and
Immer.
In addition, Redux Toolkit's
createSlice
utility
will auto-generate action creators and action types
based on the reducer functions you provide, with the
same Immer-powered update capabilities inside.


--- layout: post title: Eight barriers to effective listening date: 2006-06-06 00:00:00 category: social ---
Eight barriers to effective listening: "Nearly every aspect of human life could be improved by better listening -- from family matters to corporate business affairs to international relations. Most of us are terrible listeners. We're such poor listeners, in fact, that we don't know how much we're missing. The following are eight common barriers to good listening, with suggestions for overcoming each."


Thank you for your purchase! {{email}}
Your order details are below
Shopping Cart ${{amount}}
{{type}}
{% for mitem in items %}
{{ mitem.title }}
${{ mitem.cost }}
{% endfor %} {% if items|length == 0 %}
Fixed price
${{amount}}
{% endif %}


'Neymar Plays For Himself, And Only Himself'
by SL InternationalWith Paris Saint-Germain superstar Neymar having been widely accused of disrespecting the club in recent times, the Brazil international has now received some scathing criticism for his attitude.
Read: The Richest Footballers In The World, Part Two
Neymar has endured endured a torrid time off the field since his €222 million (R3.6 billion) move from FC Barcelona to PSG in 2017, with the Brazil star marred by injury and plastered across newspapers for a spate of controversies.
Throughout this period, which has seen the 27-year-old publicly court a return to Barca and assault a rival fan, Neymar has been widely criticised by supporters and former professionals alike for his attitude.
Emmanuel Petit is the latest ex-pro to lay into Neymar, with the former France international launching a scathing attack on the Santos academy graduate's character.
Earn Airtime & Data With Soccer Laduma's Social Media App - Download Now
"This guy plays for him, and only for him," Petit told RMC Sport, as reported by Marca.
"Put yourself in the place of the boys in the dressing room of the PSG, who live for months on the whims of this guy who s**t on the club and his teammates, who does not have any respect."
Petit also shared his view that Neymar's on-field contributions are also not enough to afford him special treatment.
"When I played with (Zinedine) Zidane or (Youri) Djorkaeff, I knew they were able to dictate a game alone, so we accepted their defensive neglect," he added.
"We accepted them and did the job because we knew he could win with a flash of his genius. This is not the case, at all, of Neymar."
Read: How Messi & Ronaldo Compare After 700 Games
Despite the controversies surrounding Neymar, the Brazil international has scored 55 goals in 65 appearances for PSG since joining, and was part of the squads that won the 2017/18 and 2018/19 Ligue 1 titles.
Do you think Neymar has a bad attitude? Share your thoughts by commenting below.


[§211F-46] Establishment of special funds to secure loan insurance obligations; source of funds. The corporation may establish a special fund or funds for capital access into which fees or premiums collected by the corporation are deposited. [L 1990, c 110, pt of §3]


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Preheat the oven to 200C/400F/Gas 6.
Place a baking tray in the oven to heat.
Cut four pieces of greaseproof paper, large enough to hold three pieces of sea bass each, and rub them with olive oil. Sprinkle a little lime zest onto each of the oiled sheets.
Mix the chervil, dill and tarragon together in a small bowl, divide into two sprinkle one half of the herb mixture over the pieces of paper and place three pieces of sea bass on top of each. Season with salt and freshly ground black pepper.
For the lime syrup, place the lime zest and juice into a small non-reactive pan over a medium heat. Add 100ml/3½fl oz water and the sugar, bring to the boil and cook to reduce the liquid by two-thirds, to form a thick syrup. Remove from the heat and leave to cool.
For the apple and lime purée, place the apples into a pan over a low heat and add the lime zest and juice and the sugar. Cook on a low heat, covered, for 8-10 minutes, or until the apples are softened.
Transfer the apple mixture to a food processor and blend until smooth, then pass through a fine sieve.
For the lemongrass sauce, place the fish stock into a saucepan over a high heat and boil to reduce the liquid volume by half.
Add the double cream and four of the lemongrass stalks and continue to cook to reduce the liquid volume by two-thirds.
Place the cream mixture into a clean food processor and add the remaining lemongrass and blend to a smooth purée. Pass the cream and lemongrass sauce through a fine sieve into a small pan. Add a little lemon juice for some sharpness and season, to taste, with salt and freshly ground black pepper.
For the sea bass, season the fish and place the pieces of paper with the sea bass on them onto the preheated tray in the oven. Bake for two minutes, or until cooked through.
To serve, place a spoonful of apple purée onto each plate and smear it slightly with a spoon. Drizzle a trail of lime syrup alongside. Lift the cooked sea bass off the baking paper and place a portion onto each plate next to the purée. Froth the lemongrass sauce with a hand blender and spoon this around. Garnish with a sprinkle of the remaining fresh herb mixture.


Clipper Documentation Commands:
Request
Report
Assign Requests to Technical Writers
Check Status Reports


This app demonstrates the built-in accelerometer of the mobile device.
Tilt the mobile device you are holding to move the Evothings Logo.
When at the edge, the device vibrates if vibration is supported (iPad has no vibration for example).


Simple welcome
Just a simple test with responsive images. See the "inspector" for all the variations.


% unless locals[:submissions].blank? %>
You can view all of your submissions <% locals[:submissions].each do |sub| %> <%= sub.milestone.name %> <% end %>


Documenting User Flow Through reConstruct¶
Creating A User Account¶
reConstruct main page:¶
Click Sign Up to create a new user account.
Here, the user fills in the given fields with the appropriate information.
Once the above has been entered, the user fills in profile details.
The user can now add projects.
Details of the project are added here.
Define the waste being generated to find local companies to handle it.
A local company dealing in plaster appears.
Search results can be filtered through checking the lefthand boxes. There appears to be no local company accepting plaster that both performs onsite pickups and accepts donations.
After projects have been addded, they will appear
Logging In To An Existing Account¶
Existing users log in through the above screen.
After logging in, the user should see their profile page.


--- layout: post status: publish published: true title: "看图说话：某年某日，摄于男生宿舍楼梯上" author: Leask author_login: leask author_email<EMAIL_ADDRESS>author_url: https://leaskh.com wordpress_id: 267 wordpress_url: http://leaskh.wordpress.com/2008/03/21/%e7%9c%8b%e5%9b%be%e8%af%b4%e8%af%9d%ef%bc%9a%e6%9f%90%e5%b9%b4%e6%9f%90%e6%97%a5%ef%bc%8c%e6%91%84%e4%ba%8e%e7%94%b7%e7%94%9f%e5%ae%bf%e8%88%8d%e6%a5%bc%e6%a2%af%e4%b8%8a date: '2008-03-21 09:26:48 +0800' date_gmt: '2008-03-21 09:26:48 +0800' categories: tags: [] comments: [] ---


Ezekiel 16:11
I decked thee also with ornaments, and I put bracelets upon thy hands, and a chain on thy neck.


With Conda:
$ cd /path/to/project/folder
$ conda create -n env_name python=3.7
$ conda activate env_name
$ pip install {packages}
$ jupyter notebook
$ conda deactivate
$ cd /path/to/project/folder
$ conda create -n env_name python=3.7
$ conda activate env_name
$ pip install {packages}
$ jupyter notebook
$ conda deactivate
If you need to change the Python version after the fact, you can:
$ conda activate env_name
$ conda install python=3.8
This helps with packages that require specific versions of python, and default your system into using pip3 (if you choose Python 3.+). This is especially helpful when you have multiple versions of pip and Python on your OS.


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I can develop Ubuntu a little. ワタシハウブゥントゥチョットデキル Furthermore, I understood Ruby absolutely.


Easy Pancakes
Yields: 4
Preparation time: 5
Cooking time: 10
Ingredients
-
All-purpose flour 1 cupWhite sugar 2 tablespoonsBaking powder 2 teaspoonsSalt 1 teaspoonEgg, beaten 1Milk 1 cupVegetable oil 2 tablespoons
Directions
-
In a large bowl, mix flour, sugar, baking powder and salt.Make a well in the center, and pour in milk, egg and oil.Mix until smooth.Heat a lightly oiled griddle or frying pan over medium high heat.Pour or scoop the batter onto the griddle, using approximately 1/4 cup for each pancake.Brown on both sides and serve hot.
Category: Breakfast
Cuisine: American
inspired by All Recipes from Sharon Holt


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