Check your answers before submitting your claim
Check eligibility, cost and time |
||
|---|---|---|
| Are you based in the UK: | Yes | Change Name |
| Where is the person you're claiming against based: | England | Change Name |
| Are you 18 or over: | Yes | Change Name |
| Are you claiming against a government department: | No | Change Name |
Money claim rules |
||
|---|---|---|
| Read and understood rules: | Yes | Change Name |
Competing the claim |
||
|---|---|---|
| Read and understood warning: | Yes | Change Name |
Your details |
||
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| About you | {{data['claimant-type']}} | Change Name |
| Name: | {{data['claimant-firstname']}} {{data['claimant-lastname']}} | Change Name |
| Date of birth: | 3 12 1971 | Change Name |
| Phone: | {{data['claimant-phone']}} | Change Name | Address: |
First line of address Second line of address Town or city Postcode |
Change Contact details |
| Updates: | Email and text | Change How to be contacted |
Their details |
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|---|---|---|
| About them | {{data['defendant-type']}} | Change Type |
| Their details | {{data['defendant-firstname']}} {{data['defendant-lastname']}} | Change Name |
| Their address: |
First line of address Second line of address Town or city County Postcode |
Change Their address |
| Their email | {{data['defendant-email']}} | Change Name |
Claim amount |
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| Claim amount: | £1500 | Change Name |
| Interest rate: | 8% (standard rate) | Change Name |
| Date interest is claimed from: | From the date I submit the claim | Change Name |
| Interest: | £13 | Name |
| Claim fee: | £70 | Name |
| Total amount you're claiming: | £1583 | Name |
Claim details |
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|---|---|---|
| What happened: |
{{data['date-1']}} {{data['timeline-1']}} {{data['date-2']}} {{data['timeline-2']}} {{data['date-3']}} {{data['timeline-3']}} {{data['date-4']}} {{data['timeline-4']}} {{data['date-5']}} {{data['timeline-5']}} {{data['date-6']}} {{data['timeline-6']}} {{data['date-7']}} {{data['timeline-7']}} {{data['date-8']}} {{data['timeline-8']}} |
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|
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It's an offence to deliberately give false information.
You can only submit your claim after completing all sections.


◄ Canada ►
Individual results
| Year | Contestant | Rank | Award |
|---|---|---|---|
| 2023 | Connor Tianzheng Wong | 112 | Bronze Medal |
| 2023 | Zander Li | 123 | Bronze Medal |
| 2023 | Wenhe Zhang | 126 | Bronze Medal |
| 2023 | Eric Yuang Shao | 163 | Bronze Medal |
| 2023 | Vincent Millington | 219 | Honourable Mention |
| 2019 | Zhening Li | 73 | Silver Medal |
| 2019 | Isaac Chi Ying Liao | 81 | Silver Medal |
| 2019 | Yuheng Xu | 94 | Silver Medal |
| 2019 | Roger Xiang Li | 126 | Bronze Medal |
| 2018 | David Tang | 135 | Bronze Medal |
| 2018 | Steven Mai | 160 | Bronze Medal |
| 2018 | Alexander You | 182 | Bronze Medal |
| 2018 | Manqiu Wu | 198 | Bronze Medal |
| 2018 | Isaac Chi Ying Liao | 229 | Honourable Mention |
| 2017 | Ming Yang Ye | ≥1 | Gold Medal |
| 2017 | Guo Zheng | ≥65 | Silver Medal |
| 2017 | Henry Tang | ≥137 | Bronze Medal |
| 2017 | Pedram Amani | ≥137 | Bronze Medal |
| 2017 | Yuheng (Jack) Xu | ≥137 | Bronze Medal |
| 2016 | Steven Mai | 136 | Bronze Medal |
| 2016 | Yiqun Zhang | 138 | Bronze Medal |
| 2016 | Noel Loo | 148 | Bronze Medal |
| 2016 | Stephen Liu | 186 | Bronze Medal |
| 2016 | Yuheng (Jack) Xu | 198 | Bronze Medal |
| 2015 | Qingyue Wu | 49 | Silver Medal |
| 2015 | Stephen Liu | 162 | Bronze Medal |
| 2015 | Oliver Jin Wang | 162 | Bronze Medal |
| 2015 | Andrew Jinwook Kim | 213 | Honourable Mention |
| 2015 | Wilson Fan Wu | 237 | Honourable Mention |
| 2014 | Henry Honglei Wu | 113 | Silver Medal |
| 2014 | Chris Yuan Qi Ni | 191 | Bronze Medal |
| 2014 | Pasindu Muthukuda | 223 | Honourable Mention |
| 2014 | Antonio Molina Lovett | 228 | Honourable Mention |
| 2014 | Andrew Jinwook Kim | 244 | Honourable Mention |
| 2013 | Henry Honglei Wu | 92 | Silver Medal |
| 2013 | Bailey Gu | 131 | Bronze Medal |
| 2013 | Hao Zhe Sheng | 174 | Bronze Medal |
| 2013 | Shun Da Suo | 217 | Honourable Mention |
| 2013 | Jiaxi (Jannis) Mei | 260 | Honourable Mention |
| 2012 | Henry Honglei Wu | 89 | Silver Medal |
| 2012 | Simon Blouin | 139 | Bronze Medal |
| 2012 | Sepehr Ebadi | 158 | Bronze Medal |
| 2012 | Yun Jia (Melody) Guan | 161 | Bronze Medal |
| 2012 | Tristan Downing | 170 | Bronze Medal |
| 2011 | Sepehr Ebadi | 80 | Silver Medal |
| 2011 | Chao Wang | 99 | Silver Medal |
| 2011 | Chi Hua Franklin Yang | 147 | Bronze Medal |
| 2011 | Eric Zhan | 225 | Honourable Mention |
| 2010 | Jixuan Wang | 38 | Silver Medal |
| 2010 | Jonathan Samuel Zung | 62 | Silver Medal |
| 2010 | Xiao Heng Shawn Xu | 98 | Silver Medal |
| 2010 | Zhaoxi Michael Zhang | 100 | Silver Medal |
| 2010 | Chi Hua Franklin Yang | 137 | Bronze Medal |
| 2009 | Jixuan Wang | 67 | Silver Medal |
| 2009 | Jonathan Samuel Zung | 156 | Bronze Medal |
| 2009 | Remy Abraham Mock | 170 | Bronze Medal |
| 2009 | Xiao Heng Shawn Xu | 177 | Bronze Medal |
| 2009 | Zhaoxi Michael Zhang | 203 | Honourable Mention |
| 2008 | Junjiajia Long | 6 | Gold Medal |
| 2008 | Jingyuan (Linda) Zhang | 61 | Silver Medal |
| 2008 | Bo Cheng Cui | 93 | Silver Medal |
| 2008 | Keith Kai-Chung Ng | 151 | Bronze Medal |
| 2008 | Jixuan Wang | 156 | Bronze Medal |
| 2007 | Tony (Han) Zhu | 3 | Gold Medal |
| 2007 | Lin Fei | 37 | Gold Medal |
| 2007 | Jingyuan (Linda) Zhang | 116 | Bronze Medal |
| 2007 | Yifan Wang | 123 | Bronze Medal |
| 2007 | Devanand Sukhdeo | 149 | Honourable Mention |
| 2006 | Boris Braverman | 9 | Gold Medal |
| 2006 | Lin Fei | 35 | Gold Medal |
| 2006 | Patrick Kaifosh | 106 | Bronze Medal |
| 2006 | Devin Trudeau | 203 | Honourable Mention |
| 2005 | Ivan Zhivkov Dimitrov | 164 | Honourable Mention |
| 2005 | Brett Joseph Teeple | 172 | Honourable Mention |
| 2005 | Michael McBreen | 176 | Honourable Mention |
| 2005 | Simon Viel | 189 | Honourable Mention |
| 2004 | Amirali Modir Shanechi | ≥2 | Gold Medal |
| 2004 | Noémie Savard | ≥67 | Bronze Medal |
| 2004 | Peter Yun Zhang | ≥67 | Bronze Medal |
| 2004 | Ali Reza Sharafat | ≥135 | Honourable Mention |
| 2003 | Amirali Modir Shanechi | 24 | Silver Medal |
| 2003 | Robert Barrington Leigh | 38 | Silver Medal |
| 2003 | François Girardin | 66 | Bronze Medal |
| 2003 | Jonathan Laflamme Janssen | 77 | Bronze Medal |
| 2003 | Nan Yang | 140 | Honourable Mention |
| 2002 | Henry Wong | 22 | Gold Medal |
| 2002 | Andrew Qian Wang | 57 | Silver Medal |
| 2002 | Jonathan Ruel | 125 | Bronze Medal |
| 2002 | Garry Goldstein | 141 | Honourable Mention |
| 2002 | Shannon Xuanyue Wang | 172 | Honourable Mention |
| 2001 | Liviu Tancau | 62 | Silver Medal |
| 2001 | Jesse McKeown | 70 | Bronze Medal |
| 2001 | Frédéric Dupuis | 94 | Bronze Medal |
| 2001 | Ian Leroux | 114 | Bronze Medal |
| 2000 | Frédéric Dupuis | 100 | Honourable Mention |
| 2000 | Denis Dmitriev | 101 | Honourable Mention |
| 1999 | Filip Crnogorac | 88 | Silver Medal |
| 1999 | Hojjat Bazzazi | 125 | Bronze Medal |
| 1999 | Sonny Chan | 130 | Bronze Medal |
| 1999 | Eugene Osovetsky | 136 | Bronze Medal |
| 1999 | Michael James | 176 | Honourable Mention |
| 1998 | Tom Waterhouse | 37 | Bronze Medal |
| 1998 | Philippe Cauchon-Voyer | 56 | Bronze Medal |
| 1998 | Sonny Chan | 73 | Honourable Mention |
| 1998 | Daniel Brassard | 108 | Honourable Mention |
| 1997 | Joel Kamnitzer | 47 | Silver Medal |
| 1997 | Étienne Bernier | 94 | Bronze Medal |
| 1997 | Joseph Wong | 108 | Honourable Mention |
| 1997 | Pierre Thibault | 135 | Honourable Mention |
| 1997 | Jeff Mottershead | 144 | Honourable Mention |
| 1996 | Marco Gualtieri | 50 | Bronze Medal |
| 1996 | Harvey Auerback | 81 | Bronze Medal |
| 1996 | Vincent Pelletier | 141 | Honourable Mention |
| 1995 | Andrew Archibald | 32 | Silver Medal |
| 1995 | Jean-Marc Valin | 48 | Silver Medal |
| 1995 | David Cooke | 122 | Honourable Mention |
| 1995 | Andrew Lim | 139 | Honourable Mention |
| 1994 | Michael Forbes | 31 | Bronze Medal |
| 1994 | Joanna Karczmarek | 54 | Honourable Mention |
| 1993 | Robert Kry | 56 | Bronze Medal |
| 1993 | Xiao-Dong Yang | 59 | Bronze Medal |
| 1993 | Jurgen Hissen | 60 | Bronze Medal |
| 1993 | Paul Tupper | 87 | Honourable Mention |
| 1992 | Paul Tupper | 40 | Bronze Medal |
| 1992 | Premont Patrick | 55 | Bronze Medal |
| 1992 | Dunn Adrian | 70 | Honourable Mention |
| 1991 | Michael James Montour | 2 | Gold Medal |
| 1989 | Nima Arkani-Hamed | 42 | Bronze Medal |
| 1989 | Chris Simons | 66 | Bronze Medal |
| 1989 | Eric Nodwell | 89 | Honourable Mention |
| 1988 | Trevor Blackwell | 37 | Bronze Medal |
| 1988 | David Hogg | 72 | Honourable Mention |
| 1987 | Karl Berggren | 30 | Bronze Medal |
| 1987 | Gregory Wellman | 54 | Honourable Mention |
| 1987 | Timothy Creasy | 67 | Honourable Mention |
| 1986 | Daniel Phalp | 50 | Honourable Mention |
| 1986 | Sonu Gaind | 52 | Honourable Mention |
| 1985 | Nicolas Bateman | ≥29 | Honourable Mention |
Results may be incomplete or incorrect.
Please send the relevant information to the webmaster:
<EMAIL_ADDRESS>If you are a participant you can send a personal page URL to be attached to your name.
If you are a participant you can send a personal page URL to be attached to your name.


Before Change
// Fast forward the input to the position where it was left last time.
for i in range(trainer.update_number):
next(training_iter)
while trainer.update_minibatch(
training_iter,
args.max_epochs,
After Change
saved_params = None
saved_cost = None
while trainer.epoch_number <= args.max_epochs:
print("Creating a random permutation of %d training sentences." % len(sentence_starts))
training_order = numpy.random.permutation(sentence_starts)
training_iter = theanolm.OrderedBatchIterator(
args.training_file,
dictionary,
training_order,
batch_size=args.batch_size,
max_sequence_length=args.sequence_length)
while trainer.update_minibatch(training_iter, args.learning_rate):
if (args.verbose_interval >= 1) and \
(trainer.total_updates % args.verbose_interval == 0):
trainer.print_update_stats()
if (args.validation_interval >= 1) and \
(trainer.total_updates % args.validation_interval == 0):
validation_cost = scorer.negative_log_probability(validation_iter)
if numpy.isnan(validation_cost):
print("Stopping because an invalid floating point operation was performed while computing validation set cost. (Gradients exploded or vanished?)")
return best_params
if numpy.isinf(validation_cost):
print("Stopping because validation set cost exploded to infinity.")
return best_params
trainer.append_validation_cost(validation_cost)
validations_since_best = trainer.validations_since_min_cost()
if validations_since_best == 0:
best_params = rnnlm.get_state()
elif (args.wait_improvement >= 0) and \
(validations_since_best > args.wait_improvement):
print("Stopping because validation set cost did not decrease in previous %d validations." % (args.wait_improvement + 1))
return best_params
if (args.save_interval >= 1) and \
(trainer.total_updates % args.save_interval == 0):
// Save the best parameters and the current state.
if not best_params is None:
save_model(args.model_path, best_params)
save_training_state(args.state_path)
print("Stopping because %d epochs was reached." % args.max_epochs)
validation_cost = scorer.negative_log_probability(validation_iter)
trainer.append_validation_cost(validation_cost)
if trainer.validations_since_min_cost() == 0:


Call me old fashioned, but I only believe that there are four dimensions.
Sure, in mathematics you can work with more, but there is always going to be a gap in between mathematical equations and our own universe.
Consider the concept of infinity in the physical space between two objects. Say that distance is 2 meters. Mathematically, one can divide that space into infinite number of intervals just to get from point A to point B.
Yet the reality of it is that there are only a certain number of particles in between A and B, a quantity that does not equal infinity.
This simple example displays the disparity between the two fields, but I wonder, why is it possible to arrive at such conclusions mathematically?
Such results are beyond our comprehension, but they often lead us astray.
How to distinguish between the two when we can't even observe what's truly in front of our eyes?
So much work left to do.
It's Friday now, but I can't sleep.
Lorentz transformations are like translations in languages. They describe different states of motion. But just as all humans have the capacity for language, the transformations are possible because momentum is a 4 space.
Even gravity takes on more of a field role, shifting and changing under translation. Gravity can bend light because of the curvature of space time.
We all long to fight gravity, and take light for granted. But light transforms too. It carries information in the wave form, it transmits pressure in the particle form, it bends and sways and gives us life.
Without a medium, it retains its heat.
I wish my heart could do the same.
Through art I will learn and imitate.
I am willing to transform.
Asymmetry and dissonance are the basic requirements of growth. The veiled irrationality not only is where beauty lies, but perhaps even the key to life.
The more complex organisms are the ones who survived the deadly game.
The great art movements are the ones who learn from irrationality and asymmetry. So I must keep experimenting.
This is going to take a while.
I will take this week to read, study, and explore in order to see where the path leads.
No expectations. Just an open mind.
Like most artists, I would love to create but also to share my ideas with humanity.
Unfortunately, beauty is what attracts visibility in the arts, and my work does not make beauty its focus. I often see beauty as inconsequential to the process.
The majority of my paintings firstly seek to experiment. I take lessons from books, life, music, art, math, dreams and my subconscious and apply them to the paper through the movements of my hands.
There are times when I do not know where I'm headed, but, as is often the case, initial conditions guide me to the final image, the final idea.
If I wanted to spread these ideas to a wider audience, I would have to take beauty into consideration, not just leave it as an afterthought.
But I do not want to make sacrifices. The entire process would change, and things wouldn't come through.
The studies in topology, those of continuity, spaces, sets and geometries, like to keep their abstraction but they can apply to the description of shapes, the junction of structures in biological systems and organisms, and perhaps the release and interaction of energy.
The operations permit the ability to create and transform figures and their encompassing space. You could describe it as the interaction of the qualitative and the quantitative (and their manipulations).
My usual question applies here as well: What if you extend this to other processes and fields? In art, lines and curves create positive and negative space. Escher left us captivating art with this in mind.
Another key area is that of continuity and discontinuity. Examples are found in photons and light waves, particles and their mass, bits of data and the screen in front of our eyes. It is interesting that most of these examples involve the concept of scale and human perception.
Chaos takes these concepts and dances into the night. Discontinous equations hold cycles of order and chaos in their applications. What would happen if we cycled though chaos and continuous equations and process with the use of optimization or other algorithms? What is hidden in deliberate transformations?
I think time just jumped into the picture. Let's see.
Plato once said that art, in particular poetry, was useless because it only imitated after reality, but I wish to challenge that claim. I believe that art enhances reality.
When the artist chooses a particular scene or moment, they are involved in a process of storytelling. They deemed that choice as a representaion of the event but also because it conveyed a particular feeling.
Some of the events of daily life can only be properly processed and appreciated from an outside point of view. Time often provides this through the haze of memories, but the artist can capitalize on this.
Emotions, the higlighting of specific features, beauty and ideas all blend together in a single piece in a manner that reality cannot commonly achieve in a single montage.
Art can go beyond the reality of the senses by employing imagination.
Scientific processes and properties dance underneath our eyes, and so I will attempt to bring them into our focus.
The winds of time erode at our memories and the outline of the environment. The sharpness is dulled as equilibrium is reached.
Euclidian geometry confronted the two dimensional space, and contemporary/traditional art still plays with the concepts of the line.
However, Non-Euclidean geometry explored the changes, the curves and the nuances of space. It is a shame that the graphical representation of 3 dimensional space is not as clear.
I will attempt to capture the essense of movement and transformations on a two dimensional surface. I could attempt making sculpture, but before that I want to explore the movements of the brush over the canvas.
I don't think it's just a matter of inside and outside. It's flux.
Diotima, tell me where the rational thought dissapeared. Tell me when the purge of hatred will end its march on our hearts. It is like PTSD, opening wounds to apply medication. But for how long?
I wonder if the Internet age and its interconnectedness will one day permit a peaceful homeostasis to arrive. Entropy, but the other way around.
The search for truths is often tainted with the spoils and distractions of competition. I am certain the path to absolute truth requires these stains to dissappear, and that can only happen once we recognize that love for the truth is the ideal.
I've mentioned my stance on consumerist culture, but I also believe that art and science need, now more than ever, step up to the public consciousness. I know my place now.
And what of relativity? Of movement? The absolute truths of light and of electrons dictate the relative truths. To know both is the goal, and the knowledge of this goal is the greatest glimmer of hope.
I've learned that the life of an experimental artist is a brave but quiet one. Here I was dismantling all expectations but its impact has a short reach.
I can be a quantum variation. I guess that means I am really not acting alone, but that my work is short lived. I'm not sure if that is optimal though.
Fear that my procrustian tendencies will cause more harm than good has led me to hesitate in writing more often and more. Thankfully it motivated me to create.
I am alone in a room in a house. My brain nevertheless is firing neurons and building connections that AI can only dream of as of yet. My only companion is electricity. Inside and out. It's elementary Watson.
For my big project I will use the electromagnetic force to tap into your neurons.
Light can take any path and does but with different probabilites. Light cones are three dimesional representations of all the ways in which light can travel at the same time. We only register the point of the sum of the probabilities.
In a sense photographs replicate this in that they select only the light that comprises the scene. The photographer dictates what our eyes will register, and binds it in film.
To select a focus amidst so much information would then not be a matter of choice, but of probabilities. To consider every action, every word, and every scene, find its probability, and add. The choice comes in when we play the role of the photographer and increase the probability of an action.
Small shifts in probability are reflected in the final outcome, so be mindful.
<> Different colors change the probability and the final image, so if you channel variations of a theme you can possibly display varying information.


ALM Octane CI plugin for Azure DevOps Server - Management Console
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import os
[docs]class SilentNetwork:
description = "A base, silent network with mild odor input and all synapses blocked"
@property
def name(self):
return self.__class__.__name__
rnd_seed = 0
slice_dir = os.path.join('olfactorybulb', 'slices')
slice_name = "DorsalColumnSlice"
sim_dt = 1 / 10.0
recording_period = 1 / 10.0 # ms
tstop = 800.1 # ms
# GJs disabled
gap_juction_gmax = {
"MC": 0,
"TC": 0,
}
# Disable excitatory and inhibitory syns
synapse_properties = {
"AmpaNmdaSyn": {
'gmax': 0,
'ltpinvl': 0, # Disable plasticity
'ltdinvl': 0
},
"GabaSyn": {
'gmax': 0,
'tau2': 100,
'ltpinvl': 0, # Disable plasticity
'ltdinvl': 0
}
}
# Mild odor input spikes
input_odors = {
0: {"name": "Apple", "rel_conc": 0.1},
200: {"name": "Apple", "rel_conc": 0.2},
400: {"name": "Apple", "rel_conc": 0.2},
600: {"name": "Apple", "rel_conc": 0.2},
800: {"name": "Apple", "rel_conc": 0.2},
1000: {"name": "Apple", "rel_conc": 0.2},
1200: {"name": "Apple", "rel_conc": 0.2},
1400: {"name": "Apple", "rel_conc": 0.2},
1600: {"name": "Apple", "rel_conc": 0.2},
1800: {"name": "Apple", "rel_conc": 0.2},
}
# From Manabe & Mori (2013) fast: 100-150ms, slow: 150 ms
inhale_duration = 125 # ms
# ORN firing rate
max_firing_rate = 150 # Hz from Duchamp-Viret et. al. (2000)
# Gilra Bhalla (2016)
input_syn_tau1 = 6
input_syn_tau2 = 12
# MC input disabled
mc_input_delay = 50
mc_input_weight = 0
# TC input disabled
tc_input_delay = 0
tc_input_weight = 0
# LFP electrode
# Inside dorsal Granule Layer
# Approximaly to where it was located in Manabe & Mori (2013)
# In adult male Long-Evans rat:
# 8.0 mm anterior to the bregma
# 1.3 mm lateral to the midline
# 2.5 mm from the skull surface
lfp_electrode_location = [116, 1078, -61]
record_from_somas = ['MC', 'TC', 'GC']
[docs]class ParameterSetBase(SilentNetwork):
pass


The Bill Splitter
Ever been out on a trip with a group of friends and were overwhelmed by the accounting work afterwards to figure out who owes whom? Fear no longer! This application calculates the optimal number of transactions, and even supports multiple subgroups, since usually not everyone shares the same costs. So, let's get started!
Step 1
Please tell me your names... (one per line)
mode_edit
Done!
Please make the following transactions
| From | To | Amount |
|---|


Management App
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Harwdware Inventory
Software Inventory
Settings
Logout
Add Hardware Inventory
Hardware Inventory Details
Hardware Inventory Summary
Reports
{{currentDate | date:'medium'}}
Total Hardware: {{hardwares.length}}
Property Tag
Description
Specifications
Purchased Date
Amount
Vendor
P/O or Check#
Serial#
Location
Person
Unsort Data
Print Reports
{{hardware.propertyTag}}
{{hardware.description}}
{{hardware.specifications}}
{{hardware.purchasedDate}}
{{hardware.amount}}
{{hardware.vendor}}
{{hardware.po}}
{{hardware.serial}}
{{hardware.location}}
{{hardware.person}}
Edit Hardware Details
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Amount
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PO
Serial
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Are you sure you want to delete this information?


Police chief says 'hearts are broken' over slain detective
by EndPlayDAYTON, Ohio (AP) - An Ohio police chief says hearts are broken over the death of a detective shot while serving a drug-related warrant.
Dayton Chief Richard Biehl called Det. Jorge Del Rio a "noble, selfless public servant" during funeral services Tuesday for the 30-year police veteran at the University of Dayton Arena.
The 55-year-old detective died Thursday, three days after being shot while working with a drug taskforce.
The Dayton Daily News reports that Republican Gov. Mike DeWine said it was lucky for Dayton that Del Rio's family moved from Mexico City when he was young. DeWine said his life confirmed the American Dream.
A procession later wound through the streets of Dayton before ending at a funeral chapel for a private service.
Three men have been charged in Del Rio's death.


---
layout: default
---
Hi, I'm Vishal, about to start a PhD in quantum information theory at Louisiana State University. I just graduated from the Indian Institute of Technology, Madras where I majored in engineering physics.
I enjoy tennis, physics, books, tea, and solitude.
I run a weekly mailing list of good longform journalism from around the internet (and the world). I send ten great things to your inbox every Sunday. Have a look here - Kat's Kable.


Pango-1.44.7
Installation of Pango
Install Pango by running the
following commands:
mkdir build &&
cd build &&
meson --prefix=/usr --sysconfdir=/etc .. &&
ninja
To test the results, issue: ninja
test. Three tests, test-layout
, test-break
, and test-itemize
are known to fail if Cantarell fonts is not installed.
Now, as the root
user:
ninja install
Command Explanations
-Denable-docs
: Use this switch if
gtk-doc is installed and you wish to rebuild and install the API
documentation.
-Dgir=false
: Use this switch if you do
not want to use gobject-introspection-1.62.0.
Configuring Pango
Config Files
/etc/pango/pangorc
, ~/.pangorc
and the file specified in the
environment variable PANGO_RC_FILE
Contents
Installed Programs:
pango-list and pango-view
Installed Libraries:
libpango-1.0.so, libpangocairo-1.0.so,
libpangoft2-1.0.so, and libpangoxft-1.0.so
Installed Directories:
/usr/include/pango-1.0 and
/usr/share/gtk-doc/html/pango
Short Descriptions
|
pango-list
|
displays a list of fonts that Pango can use that are currently
installed on the system.
|
|
pango-view
|
renders a given text file through Pango for viewing purposes.
|
|
libpango-1.0.so
|
contains low level layout rendering routines, a high
level driver for laying out entire blocks of text, and
routines to assist in editing internationalized text.
|
Last updated on 2020-02-19 20:50:25 -0800


| Item ID | Name | OldPrice | NewPrice | Category | Sub-category | Tags | Image |
|---|---|---|---|---|---|---|---|
| 1 | asd | 123123 | 1231 | dry fruit | dry fruit | dry fruit | |
| 2 | almonds | 123 | 123 | dry fruit | dry fruit | dry fruit | |
| 3 | almonds | 23 | 12312 | dry fruit | dry fruit | dry fruit | |
| 4 | almonds | 123 | 123 | dry fruit | dry fruit | dry fruit |


searchinfosec.com
well I decided to try and work on the Information Security search engine a bit more, so in order to make it easier to find, I've setup www.searchinfosec.com .
From there you can add searchnifosec.com to your google search toolbar.
well I decided to try and work on the Information Security search engine a bit more, so in order to make it easier to find, I've setup www.searchinfosec.com .
From there you can add searchnifosec.com to your google search toolbar.
There's an interesting new beta project from google launched today, which allows you to create custom search engines which focus on a given topic area by customising which sites are indexed as part of the search. I've created a couple of one's in areas that interest me .
I think that this could be really useful for targeted searches as it can cut out a lot of the "spam" and other less relevant sites from the search results.
This one is an Information Security Search engine. At the moment it's based on some sites which I use (list below), but if there are other ones that anyone would like to see include just leave a comment, or feel free to volunteer to help out on the search engine front page.
Anyway here's a link to the Information Security Search Engine Homepage
and here's an embedded version which google provide the code for
isc.sans.org
msdn.microsoft.com/security
www.cert.org
www.securityfocus.com
www.stupidsecurity.com
www.mckeay.net/secure/
www.schneier.com/blog/
catless.ncl.ac.uk/Risks
www.networkworld.com/topics/security.html
www.sans.org/reading_room/
sunbeltblog.blogspot.com
taosecurity.blogspot.com
www.red-database-security.com
www.isc2.org
www.cccure.org
secunia.com
www.mccune.org.uk
www.securityforum.org
www.issa.org
csrc.nist.gov
www.cisecurity.com
www.dhanjani.com
financialcryptography.com
Ever gone looking for some insight into your latest rails conundrum and ended up finding answers for the wrong language that mention ruby elsewhere in the page? I know I have.
Here's an interesting new beta project from google launched today, which allows you to create custom search engines which focus on a given topic area by customising which sites are indexed as part of the search.
I think that this could be really useful for targeted searches as it can cut out a lot of the "spam" and other less relevant sites from the search results. Also while you can get the same effect by using the site: parameter, doing that about 20 or 30 times per search doesn't really appeal.
So here's a Ruby on rails Search. At the moment it's based on some sites which I use (list below), but if there are other ones that anyone would like to see include just leave a comment, or volunteer to help out on the search engine front page.
edit: Looks like quite a few people in the RoR community had this idea.... so rather than have lots of different searches doing the same thing I've removed my one.
But if you're looking for a RoR search engine head over here to the Ruby Inside Search Engine
http://www.rubyforge.org/
http://www.ryandaigle.com/
http://weblog.rubyonrails.com/
http://www.loudthinking.com/
http://www.slash7.com/
http://www.oreillynet.com/ruby/
http://www.rubyonrailsforum.com/
http://www.ruby-forum.com/
http://www.bigbold.com/snippets/tags/rails
http://wiki.rubyonrails.com/
http://dev.rubyonrails.org/
http://www.ruby-lang.org/en/
http://www.37signals.com/
http://www.rubyonrails.com/
http://blog.t0fuu.com/
http://weblog.jamisbuck.org/
http://www.railtie.net/
http://www.rubyonrailsblog.com/
http://cardboardrocket.com/
http://www.danwebb.net/
http://mephistoblog.com/
http://curthibbs.wordpress.com/
http://www.softiesonrails.com/
http://nubyonrails.com/
http://www.rubyinside.com/
http://www.height1percent.com/
http://www.straw-dogs.co.uk/blog/
SimpleConsole - Building Console Apps
Interesting looking idea. I know that a lot of the work I do tends to revolve around writing little command-line scripts so anything that helps with that can only be a good thing
After seeing all the great uses people are finding for Google's new Code Search I thought, "yeah these are useful, but what would be really useful would be to use this to find out what language is most likely to drive programmers mad!"
So I developed a rigourous methodolgy which primarily consists of searching for code invoking the name of Great Cthulhu ! What surer sign of madness than using the name of a great old one!
so without further ado, here's the results of my painstaking search.
From this we can clearly see that C is leading the pack, with TCL obviously a pretty mind-bending second place.
.:: nothern-monkee ::.
Another interesting looking SQL injection tool to look at.
The Amazing YouTube Tools Collection
One for my handy links collection
Redmond | Feature Article: Server Core: Windows Without Windows
Interesting looks like Microsoft are working on a cut down version of vista for certain core services. This is one of the things that's bugged me about windows for ages (why does a server need a media player!!) and I think one of the main things that'd hampered their activitie s in creating a more secure operating system.
Looks a touch basic at the moment and I'm left wondering how easy it will be for 3rd party vendors to get their software running on it (it would make complete sense for things like database servers to use this rather than a default install of windows), but it's definately a step in the right direction.
OPEN-LABS
Some more stuff to look at when I get a chance.


endpath
endpath(draw=True)
The endpath() command is the companion to beginpath() and may only be called after the later. When endpath() is called, the path defined between beginpath() and endpath() is drawn to the screen. Optionally, when endpath(draw=False) is called, the path is not drawn to the screen, but can be assigned to a variable and drawn to the screen at a later time with the drawpath() command.
|
beginpath(10,10)
lineto(40, 10)
endpath()
beginpath(10,10)
lineto(40, 10)
p = endpath(draw=False)
drawpath(p) |


{% include 'includes/meta-description' %} {% include 'includes/meta-open-graph' %} {% include 'includes/meta-twitter' %}


{% if g.user.id == task.doer_id %}
Assigned to you by {{task.requester.username}}
{% elif g.user.id == task.requester_id %}Assigned to {{task.doer.username}} by you.
{% else %}Assigned to {{task.doer.username}} by {{task.requester.username}}
{% endif %}


public interface DConfigBean
A DConfigBean is created by calling DConfigBean.getDConfigBean(DDBean) method, where DConfigBean is the object that provided the XPath which the DDBean represents.
A DConfigBean is a JavaBean component that presents the dynamic deployment configuration information for a Jakarta EE plugin to the deployer. It is a JavaBean. The JavaBean architecture was chosen because of its versatility in providing both simple and complex components. JavaBeans also enable the development of property sheets and property editors, as well as sophisticated customization wizards.
It is expected that a plugin vendor will provide a Property Editor for any complex datatype in a DConfigBean that a deployer needs to edit through a property sheet. The Property Editor should be implemented and made available to a tool according to the guidelines defined in the JavaBeans API Specification version 1.01.
| Modifier and Type | Method and Description |
|---|---|
void |
addPropertyChangeListener(java.beans.PropertyChangeListener pcl)
Register a property listener for this bean.
|
DConfigBean |
getDConfigBean(DDBean bean)
Return the JavaBean containing the server-specific deployment
configuration information based upon the XML data provided
by the DDBean.
|
DDBean |
getDDBean()
Return the JavaBean containing the deployment
descriptor XML text associated with this DConfigBean.
|
java.lang.String[] |
getXpaths()
Return a list of XPaths designating the deployment descriptor
information this DConfigBean requires.
|
void |
notifyDDChange(XpathEvent event)
A notification that the DDBean provided in the
event has changed and this bean or its child beans need
to reevaluate themselves.
|
void |
removeDConfigBean(DConfigBean bean)
Remove a child DConfigBean from this bean.
|
void |
removePropertyChangeListener(java.beans.PropertyChangeListener pcl)
Unregister a property listener for this bean.
|
DDBean getDDBean()
java.lang.String[] getXpaths()
DConfigBean getDConfigBean(DDBean bean) throws ConfigurationException
bean
- The DDBean containing the XML data to be
evaluated.ConfigurationException
- reports errors in generating
a configuration bean. This DDBean is considered
undeployable to this server until this exception
is resolved.
A suitably descriptive message is required so the user
can diagnose the error.void removeDConfigBean(DConfigBean bean) throws BeanNotFoundException
bean
- The child DConfigBean to be removed.BeanNotFoundException
- the bean provided
is not in the child list of this bean.void notifyDDChange(XpathEvent event)
event
- an event containing a reference to the
DDBean which has changed.void addPropertyChangeListener(java.beans.PropertyChangeListener pcl)
pcl
- PropertyChangeListener to addvoid removePropertyChangeListener(java.beans.PropertyChangeListener pcl)
pcl
- Listener to remove.


This package provides some simple metrics and associated operations that allow for the recording of application metrics and persisting them to various different local or cloud storage/metric systems. You code registers metrics and then doesn't have to not worry about how they are managed or persisted.
The change log file shows the various features and bug fixes in each version.


{% extends "base.html" %} {% load staticfiles %}
Your new blog is saved: {{ query }}
Found {{ blogs|length }} blog{{ blogs|pluralize }}.
No blogs


No properties found that match the search query "{{searchQuery}}"
0">
Found {{allPropertiesFound}} results for "{{searchQuery}}" in properties for sale
Showing page {{searchPage}} of {{maxPage}}
{{result.address}}
{{result.estateAgent.name}}
{{result.brief}}
{{result.price}}


References
Name
Job
Years Known
Terry Werber
United Airlines
21 years
Fred Werber
United Airlines
21 years
Tom Trippichio
Therapy Director
16 years


Four shot dead at installation of chief at Pai Katanga
At least four persons have been confirmed dead and two others critically injured at Pai Katanga in the Krachi East Municipality of the Oti Region, after they were shot by unidentified gunmen at the installation of a Kyidomhene.
The gunmen, said to be wearing in masks, allegedly stormed the installation ground and shot into the gathering.
Mr Samuel Aboagye, the District Police Commander, who confirmed the incident to Ghana News Agency said the Command has reinforced security to protect life and property.
He said efforts are being made to arrest the perpetrators.
GNA has gathered that the injured are receiving treatment at the Worawora Government Hospital and the dead are at the morgue of the Hospital.


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The Red Fox has a long history of association with humans, having been extensively hunted as a pest and furbearer for many centuries, as well as being represented in human folklore and mythology.
A strain of truly domesticated red foxes was introduced by Russian geneticist Dmitry Belyayev who, over a 40-year period, bred several generations of silver morph foxes on fur farms, selecting only those individuals that showed the least fear of humans. Eventually, Belyayev's team selected only those that showed the most positive response to humans, thus resulting in a population of foxes whose behaviour and appearance was significantly changed. After about ten generations of controlled breeding, these foxes no longer showed any fear of humans, and often wagged their tails and licked their human caretakers to show affection. These behavioural changes were accompanied by physical alterations, which included piebald coats, floppy ears in pups, and curled tails, similar to traits that distinguish domestic dogs from wolves.


See: Description
| Interface | Description |
|---|---|
| ChannelInterceptorAware |
A marker interface providing the ability to configure
ChannelInterceptor s
on MessageChannel implementations. |
| ExecutorChannelInterceptorAware |
The
ChannelInterceptorAware extension for the cases when
the ExecutorChannelInterceptor s
may have reason (e.g. |
| QueueChannelOperations |
Operations available on a channel that has queuing semantics.
|
| ReactiveStreamsSubscribableChannel |
| Class | Description |
|---|---|
| AbstractExecutorChannel |
The
AbstractSubscribableChannel base implementation for those inheritors
which logic may be based on the Executor . |
| AbstractMessageChannel |
Base class for
MessageChannel implementations providing common
properties such as the channel name. |
| AbstractMessageChannel.ChannelInterceptorList |
A convenience wrapper class for the list of ChannelInterceptors.
|
| AbstractPollableChannel |
Base class for all pollable channels.
|
| AbstractSubscribableChannel |
Base implementation of
MessageChannel that
invokes the subscribed handler(s) by delegating to a
MessageDispatcher . |
| ChannelPurger |
A utility class for purging
Messages from one or more
QueueChannels . |
| DefaultHeaderChannelRegistry |
Converts a channel to a name, retaining a reference to the channel keyed by the name.
|
| DirectChannel |
A channel that invokes a single subscriber for each sent Message.
|
| ExecutorChannel |
An implementation of
MessageChannel
that delegates to an instance of
UnicastingDispatcher which in turn delegates all dispatching
invocations to an Executor . |
| FixedSubscriberChannel |
Specialized
SubscribableChannel for a single final subscriber set up during bean instantiation (unlike
other SubscribableChannel s where the MessageHandler is subscribed when the endpoint
is started). |
| FluxMessageChannel |
The
AbstractMessageChannel implementation for the
Reactive Streams Publisher based on the Project Reactor Flux . |
| MessageChannelReactiveUtils |
Utilities for adaptation
MessageChannel s to the Publisher s. |
| MessagePublishingErrorHandler | |
| NullChannel |
A channel implementation that essentially behaves like "/dev/null".
|
| PriorityChannel |
A message channel that prioritizes messages based on a
Comparator . |
| PublishSubscribeChannel |
A channel that sends Messages to each of its subscribers.
|
| QueueChannel |
Simple implementation of a message channel.
|
| RendezvousChannel |
A zero-capacity version of
QueueChannel that delegates to a
SynchronousQueue internally. |


I'm Belal Elolahi, I’m 24 years old,
- I graduated from Philadelphia University with a Bachelor’s degree in Software Engineering
- LTUC, Amman, Full Stack developer, Jul 2021 – Present
I love to travel and these are the best cities to visit :
- London, England
- New York City, United States
- Paris, France
- Moscow, Russia
- Tokyo, Japan
- Dubai, United Arab Emirates
- Singapore
- Barcelona, Spain
- Los Angeles, United States
- Madrid, Spain


IN DREAMS A film review by Matt Williams
RATING: * 1/2 out of * * * *
Director Neil Jordan takes a gamble and fails with his latest movie, In Dreams. He assembles a talented cast, and combines it with some superb camera work. But then he applies these paints to a fragmented and nonsensical story. Can a movie exist with style, but no substance? In Dreams is a convincing argument in the negative.
Claire Cooper (Annette Bening) has had psychic visions all her life, though she never knew what they meant. However, lately they've been getting much more disturbing, as she becomes certain that at least part of what she's seeing involves a missing young girl.
The increasingly nightmarish visions are beginning to upset her husband, Paul (Aidan Quinn), as well. He begins to suspect his wife may slowly be going crazy. A psychiatrist, Dr. Silverman (Stephen Rea) suggests that she be hospitalized.
Claire, however, begins to suspect that someone is feeding her dreams. She fears that her psychic pen-pal may be a serial killer (Robert Downey Jr.), and that her visions are anticipating his actions.
In Dreams is wonderfully shot by cinematographer Darius Khondji. Haunting and evocative, the imagery of the film is easily the film's strongest suit. The only flaw here is that the film is a little overreliant on a few questionable motifs (you won't leave the theater craving any apples, that's for sure).
However, there is not much behind this pretty facade. What starts out as a mildly interesting premise quickly becomes ludicrous as the film descends along its mindless path. Disjointed and confusing at times, In Dreams is like a bad dream itself. Full of none sequiturs and loose ends, just when you think the movie can't make any less sense, it somehow surprises you.
There's some good talent here, though, that gives the material a fair shot. Annette Bening makes the strongest impression with her descent into madness. Aidan Quinn is also notable as her beleaguered husband, yet the film doesn't quite know what to do with his role. It tosses him a minor subplot early on, only to forget about it a few scenes later. Robert Downey Jr. is appropriately creepy as the film's mysterious bad guy. However, his familiar character seems to be patched together from the assorted parts of serial killers of films past.
Despite the efforts of the cast, nothing can quite disguise the hollowness at the film's center. In fact, it's almost tragic that such good actors and imagery have been wasted on such a worthless movie.
Copyright 1999 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of nearly 700 reviews, and information on over 750 upcoming releases
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


public class KryoKt
| Modifier and Type | Method and Description |
|---|---|
static WireTransaction |
SerializedBytesWireTransaction(SerializedBytes<net.corda.core.transactions.WireTransaction> $receiver,
com.esotericsoftware.kryo.Kryo kryo) |
static com.esotericsoftware.kryo.Kryo |
createKryo(com.esotericsoftware.kryo.Kryo k) |
static <T> T |
deserialize(byte[] $receiver,
com.esotericsoftware.kryo.Kryo kryo) |
static <T> T |
deserialize(OpaqueBytes $receiver,
com.esotericsoftware.kryo.Kryo kryo) |
static <T> T |
deserialize(SerializedBytes<T> $receiver,
com.esotericsoftware.kryo.Kryo kryo) |
static com.esotericsoftware.kryo.Kryo |
extendKryoHash(com.esotericsoftware.kryo.Kryo kryo) |
static java.lang.String |
getATTACHMENT_STORAGE() |
static AttachmentStorage |
getAttachmentStorage(com.esotericsoftware.kryo.Kryo $receiver) |
static java.lang.ThreadLocal<com.esotericsoftware.kryo.Kryo> |
getTHREAD_LOCAL_KRYO()
Serialization utilities, using the Kryo framework with a custom serialiser for immutable data classes and a dead
simple, totally non-extensible binary (sub)format.
|
static byte[] |
readBytesWithLength(com.esotericsoftware.kryo.io.Input $receiver) |
static <T> SerializedBytes<T> |
serialize(T $receiver,
com.esotericsoftware.kryo.Kryo kryo)
Can be called on any object to convert it to a byte array (wrapped by
class SerializedBytes ), regardless of whether
the type is marked as serializable or was designed for it (so be careful!). |
static void |
setAttachmentStorage(com.esotericsoftware.kryo.Kryo $receiver,
AttachmentStorage value) |
static <T> T |
useClassLoader(com.esotericsoftware.kryo.Kryo $receiver,
java.lang.ClassLoader cl,
kotlin.jvm.functions.Function0<? extends T> body) |
static void |
writeBytesWithLength(com.esotericsoftware.kryo.io.Output $receiver,
byte[] byteArray) |
public static java.lang.ThreadLocal<com.esotericsoftware.kryo.Kryo> getTHREAD_LOCAL_KRYO()
Serialization utilities, using the Kryo framework with a custom serialiser for immutable data classes and a dead simple, totally non-extensible binary (sub)format.
This is NOT what should be used in any final platform product, rather, the final state should be a precisely specified and standardised binary format with attention paid to anti-malleability, versioning and performance. FIX SBE is a potential candidate: it prioritises performance over convenience and was designed for HFT. Google Protocol Buffers with a minor tightening to make field reordering illegal is another possibility.
FIX SBE: https://real-logic.github.io/simple-binary-encoding/ http://mechanical-sympathy.blogspot.co.at/2014/05/simple-binary-encoding.html Protocol buffers: https://developers.google.com/protocol-buffers/
But for now we use Kryo to maximise prototyping speed.
Note that this code ignores ALL concerns beyond convenience, in particular it ignores:
Performance
Security
This code will happily deserialise literally anything, including malicious streams that would reconstruct classes in invalid states, thus violating system invariants. It isn't designed to handle malicious streams and therefore, isn't usable beyond the prototyping stage. But that's fine: we can revisit serialisation technologies later after a formal evaluation process.
public static <T> T deserialize(byte[] $receiver, com.esotericsoftware.kryo.Kryo kryo)
public static <T> T deserialize(OpaqueBytes $receiver, com.esotericsoftware.kryo.Kryo kryo)
public static WireTransaction SerializedBytesWireTransaction(SerializedBytes<net.corda.core.transactions.WireTransaction> $receiver, com.esotericsoftware.kryo.Kryo kryo)
public static <T> T deserialize(SerializedBytes<T> $receiver, com.esotericsoftware.kryo.Kryo kryo)
public static <T> SerializedBytes<T> serialize(T $receiver, com.esotericsoftware.kryo.Kryo kryo)
Can be called on any object to convert it to a byte array (wrapped by class SerializedBytes
), regardless of whether
the type is marked as serializable or was designed for it (so be careful!).
class SerializedBytes
public static <T> T useClassLoader(com.esotericsoftware.kryo.Kryo $receiver, java.lang.ClassLoader cl, kotlin.jvm.functions.Function0<? extends T> body)
public static void writeBytesWithLength(com.esotericsoftware.kryo.io.Output $receiver, byte[] byteArray)
public static byte[] readBytesWithLength(com.esotericsoftware.kryo.io.Input $receiver)
public static com.esotericsoftware.kryo.Kryo createKryo(com.esotericsoftware.kryo.Kryo k)
public static java.lang.String getATTACHMENT_STORAGE()
public static AttachmentStorage getAttachmentStorage(com.esotericsoftware.kryo.Kryo $receiver)
public static void setAttachmentStorage(com.esotericsoftware.kryo.Kryo $receiver, AttachmentStorage value)
public static com.esotericsoftware.kryo.Kryo extendKryoHash(com.esotericsoftware.kryo.Kryo kryo)


memory_based_step_iterator Class Template Reference
[step iterators, Models]
#include <step_iterator.hpp>
Inheritance diagram for memory_based_step_iterator:
List of all members.
Detailed Description
template<typename Iterator>
class boost::gil::memory_based_step_iterator< Iterator >
Iterator with dynamically specified step in memory units (bytes or bits). Models StepIteratorConcept, IteratorAdaptorConcept, MemoryBasedIteratorConcept, PixelIteratorConcept, HasDynamicXStepTypeConcept.
A refinement of step_iterator_adaptor that uses a dynamic parameter for the step which is specified in memory units, such as bytes or bits
Pixel step iterators are used to provide iteration over non-adjacent pixels. Common use is a vertical traversal, where the step is the row stride.
Another application is as a sub-channel view. For example, a red intensity image over interleaved RGB data would use a step iterator adaptor with step sizeof(channel_t)*3 In the latter example the step size could be fixed at compile time for efficiency. Compile-time fixed step can be implemented by providing a step function object that takes the step as a template
|
Public Types |
typedef detail::step_iterator_adaptor<
memory_based_step_iterator<
Iterator >, Iterator, memunit_step_fn<
Iterator > > | parent_t |
|
typedef parent_t::reference | reference |
|
typedef parent_t::difference_type | difference_type |
|
typedef Iterator | x_iterator |
Public Member Functions |
|
| memory_based_step_iterator (Iterator it, std::ptrdiff_t memunit_step) |
|
template<typename I2> |
| | memory_based_step_iterator (const memory_based_step_iterator< I2 > &it) |
| reference | operator[] (difference_type d) const |
|
void | set_step (std::ptrdiff_t memunit_step) |
|
x_iterator & | base () |
|
x_iterator const & | base () const |
Member Function Documentation
| reference operator[] |
( |
difference_type |
d |
) |
const [inline] |
|
|
|
For some reason operator[] provided by iterator_adaptor returns a custom class that is convertible to reference We require our own reference because it is registered in iterator_traits |
The documentation for this class was generated from the following file:
Generated on Thu Nov 8 21:53:23 2007 for Generic Image Library by
1.4.4
|


|
|
| Socket (const SOCK_TYPE type, const string &path) |
| |
|
void | connect () |
| | Connect the socket.
|
| |
|
void | close () |
| | Close the socket.
|
| |
| void | read (char *buffer, size_t size) |
| | Read data from socket. More...
|
| |
| string | read (size_t size) |
| | Read data from socket. More...
|
| |
| size_t | readLine (char *buffer) |
| | Read a line from socket. More...
|
| |
| const string & | readLine (string &buffer) |
| | Read a line from socket. More...
|
| |
| void | write (const char *content, size_t size) |
| | Write data to socket. More...
|
| |
| void | write (const string &content) |
| | Write data to socket. More...
|
| |
| void | write (Utility::Archive &archive) |
| | Write archive to socket. More...
|
| |
◆ read() [1/2]
| void DockerClientpp::Socket::read |
( |
char * |
buffer, |
|
|
size_t |
size |
|
) |
| |
Read data from socket.
- Parameters
-
| buffer | buffer the data to be written into |
| size | size of data to be read |
◆ read() [2/2]
| string DockerClientpp::Socket::read |
( |
size_t |
size | ) |
|
Read data from socket.
- Parameters
-
| size | size of data to be read |
- Returns
- data read from socket
◆ readLine() [1/2]
| size_t DockerClientpp::Socket::readLine |
( |
char * |
buffer | ) |
|
Read a line from socket.
Designed for reading http header, the line will not contain '\r' or '\n' when return
- Parameters
-
| buffer | buffer the data to be written into |
- Returns
- length of the line
◆ readLine() [2/2]
| const string& DockerClientpp::Socket::readLine |
( |
string & |
buffer | ) |
|
Read a line from socket.
Designed for reading http header, the line will not contain '\r' or '\n' when return
- Parameters
-
| buffer | buffer the data to be written into |
- Returns
- the same buffer that is passed in
◆ write() [1/3]
| void DockerClientpp::Socket::write |
( |
const char * |
content, |
|
|
size_t |
size |
|
) |
| |
Write data to socket.
- Parameters
-
| content | content to be sent |
| size | size of the data |
◆ write() [2/3]
| void DockerClientpp::Socket::write |
( |
const string & |
content | ) |
|
Write data to socket.
- Parameters
-
| content | content to be sent |
◆ write() [3/3]
Write archive to socket.
- Parameters
-
| archive | archive to be sent |
The documentation for this class was generated from the following file:
- /home/fedemengo/workspace/smartcontract/container/DockerClientpp/include/DockerClientpp/Socket.hpp


ColorFrontier
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Super Galactic Age Calculator
Find out your age on each of the planets in the solar system
Input your age in Earth years:
Submit


---
layout: slides
title: "On representing time and change"
category: hidden
type: course
semester: Fall 2018
college: Wellesley College
permalink: /cognition/time/
---
# On representing time and change.
???
---
class: center, middle, statement, dark
< recap >
---
class: center, middle, statement, dark
The mind faces many maddeningly hard engineering problems, and we have an arsenal of mental faculties for solving each of them approximately.
---
class: center, middle, statement, dark
We have representations of space, quantity, value, the future, and the past.
---
class: center, middle, statement, dark
recap >
---
# Administrivia
- Attendance sheet
- Assignment #5 — from 10 questions down to 3
---
# Sum.
- By David Eagleman
---
# Time at the computational level.
- What is the purpose of representing time?
- What would make it hard to program a robot to represent time?
???
---
# The long and short of it
- Events that are too fast, fast, slow, and too slow
- The past, the present, and the future
- Temporal relations, cultural differences, language
- The implementation level
---
# Too fast — the galloping horse.
- Marey, a physiologist
- Muybridge, a photographer
- Debate of the 1870s — does a galloping horse keep at least one leg on the ground at all times?
- Why isn't this obvious?
---
# Too slow — revisiting the ANS & AMS.
---
# How long is "just right"?
- Boundary between events and continuity, e.g. drum roll
- Orders of magnitude number line
---
# The specious present.
"...the prototype of all conceived times is the specious present, the short duration of which we are immediately and incessantly sensible." — James
???
100 ms
---
# Implementation — oscillators.
"Living systems contain self-sustaining biochemical and biophysical oscillations,
whose periods range from fractions of a second to a year and perhaps
more" — Gallistel
---
# Neural oscillations.
???
"The first discovered and best-known frequency band is alpha activity (7.5–12.5 Hz)[7] that can be detected from the occipital lobe during relaxed wakefulness and which increases when the eyes are closed.[8] Other frequency bands are: delta (1–4 Hz), theta (4–8 Hz), beta (13–30 Hz), low gamma (30–70 Hz), and high gamma (70–150 Hz) frequency bands, where faster rhythms such as gamma activity have been linked to cognitive processing."
---
# Circadian rhythm.
---
# Parkinson's, dopamine levels, L-dopa
???
L-DOPA is the precursor to the neurotransmitter dopamine
---
class: center, middle
# Fin.


Bookish spork
Copyright (c) 2018-2019 Alexey Nikitin
Version: 0.3.3
Authors: Alexey Nikitin<EMAIL_ADDRESS>) (web site: https://twitter.com/tank_bohr
).
An erlang library to test http requests. Inspired by Ruby's WebMock.
Suitable for Elixir.
Rationale
There are several ways to test your http interaction
- Real http request to real servers: not very reliable, requires internet
- You can use external http server like
https://httpbin.org/
(hackney approach) - You can mock your http client library
- Also you can run an http-server within your application on your localhost on a particular port
The last approach is the best IMHO. It is absolutely http-client agnostic. It doesn't require internet connection or any external utilities.
bookish_spork provides you facilities to test your requests with real http server.
Usage
Bookish spork supports Erlang/OTP 20.3 or later.
First step: add to your rebar config
{profiles, [
{test, [
{deps, [
{bookish_spork, "0.3.3"}
]}
]}
]}.
Second: start server in your tests.
bookish_spork:start_server().
It starts process without link. Thus you can use it in init_per_group
and in init_per_suite
callbacks. Default port is 32002 but you can specify any port you like with bookish_spork:start_server/1
Stub request
The simplest stub you can do is
bookish_spork:stub_request().
It will stub your requests with 204 No Content
response with empty body.
If you need specify response you easily can do this:
bookish_spork:stub_request([Status, Headers, Content]).
Capture request
As usual the main goal is to test that you send the correct request
{ok, Request} = bookish_spork:capture_request().
It returns you an opaque structure of the request. You can inspect it with
bookish_spork_request:method/1
bookish_spork_request:uri/1
bookish_spork_request:headers/1
bookish_spork_request:body/1
Bypass comparision
An elixir library bypass does pretty much the same. And illustrates the same approach. It starts a cowboy web-server to replace a real service for test
But bookish_spork has some advantages:
- Bypass depends on
cowboy
andplug
. Bookish spork has zero dependencies - Bookish spork works seamlessly with both erlang and elixir. Bypass is supposed to be an elixir only library
- Bookish spork much simpler (I believe)
Elli comparision
Very often people use elli for this purpose. But elli is a full-featured web-server while bookish_spork is a testing library. It allows you to stub requests as close to your tests as possible. Without callback module and supervisor.
Examples
Setup and teardown
init_per_group(_GroupName, Config) ->
{ok, _} = bookish_spork:start_server(),
Config.
end_per_group(_GroupName, _Config) ->
ok = bookish_spork:stop_server().
Set expectation
init_per_testcase(random_test, Config) ->
bookish_spork:stub_request([200, #{}
<<"{\"value\": \"Chuck Norris' favourite word: chunk.\"}">>]),
Config.
Make assertions
random_test(_Config) ->
?assertEqual(<<"Chuck Norris' favourite word: chunk.">>, testee:make_request()),
{ok, Request} = bookish_spork:capture_request(),
?assertEqual("/jokes/random", bookish_spork_request:uri(Request)).
As you can see there are two types of assertions:
- we check a testee function result
- we check a side effect: verifying outgoing request has correct attributes (uri in this case)
More complex expectations
There are cases when the testee function initiates more than one request. But if you know the order of your requests, you can set several expectations
bookish_spork:stub_request([200, #{}, <<"{\"value\": \"The first response\"}">>]),
bookish_spork:stub_request([200, #{}, <<"{\"value\": \"The second response\"}">>]).
The library will response in the order the stubs were defined.
Sometimes you can't guarantee the order of requests. Then you may stub request with the fun
bookish_spork:stub_request(fun(Request) ->
case bookish_spork_request:uri(Request) of
"/bookish/spork" ->
[200, #{}, <<"Hello">>];
"/admin/sporks" ->
[403, #{}, <<"It is not possible here">>]
end
end)
Stub multiple requests with one response
It can be useful to stub several requests with one command
bookish_spork:stub_request([200, #{<<"Content-Type" => "text/plan">>}, <<"Pants">>], _Times = 20)
The same with the fun
bookish_spork:stub_request(fun(Req) ->
Body = bookish_spork_request:body(Req),
[200, #{<<"X-Respond-With">> => <<"echo">>}, Body]
end, _Times = 150)
As you can see that it's not necessary to build response structure yourself. You can use handy three-element tuple or list syntax to define the response. But the bookish_spork_response:new/1
still works.
Elixir example
defmodule ChuckNorrisApiTest do
use ExUnit.Case
doctest ChuckNorrisApi
setup_all do
{:ok, _} = :bookish_spork.start_server
{:ok, %{}}
end
test "retrieves a random joke" do
:bookish_spork.stub_request([200, %{}, "{
\"value\": \"Chuck norris tried to crank that soulja boy but it wouldn't crank up\"
}"])
assert ChuckNorrisApi.random == "Chuck norris tried to crank that soulja boy but it wouldn't crank up"
{:ok, request} = :bookish_spork.capture_request
assert request.uri == '/jokes/random'
end
end
For more details see examples dir.
Modules
| bookish_spork |
| bookish_spork_format |
| bookish_spork_request |
| bookish_spork_response |
| bookish_spork_server |


{% extends "layout.html" %} {% block page_title %} Example - Forms {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {{formData | safe}} {% if data.place_type=="childs home" or data.place_type=="your home" or data.place_type=="your home,childs home" %} Total time to register: 5–6 months plus training Criminal check 2-3 months Childminder training varies by provider Register with Ofsted 3 months {% elif data.place_type=="other" or data.place_type=="your home,other" or data.place_type=="your home,childs home,other" or data.place_type=="childs home,other" %} Total time for you to register: 8–10 months plus training Criminal check: 2 to 3 months Childminder training: varies by provider Register with Ofsted 7 months {% endif %} {% endblock %}
Total time to register:
plus training
Total time for you to register:


Previously Asked Queries
There are no queries to show.
{{query.from}} asked:
{{query.askedOn | date}}
@{{query.to}} {{query.body}}
See Responses ({{query.replies.length}})
No Responses Yet
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{{reply.repliedOn | date}}
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Install
For Python users, Analytics Zoo can be installed either from pip or without pip.
NOTE: We have tested on Python 3.6 and Python 3.7. Support for Python 2.7 has been removed due to its end of life.
Install the latest nightly build wheels for pip
You can find the list of the latest nightly build wheels for pip here. Choose a wheel with timestamp for your platform and click to download it to your local repository.
Note that if you are using Linux, you need to choose the file analytics_zoo-VERSION-TIMESTAMP-py2.py3-none-manylinux1_x86_64.whl
.
If you are using Mac, choose analytics_zoo-VERSION-TIMESTAMP-py2.py3-none-macosx_10_11_x86_64.whl
instead.
After downloading the target wheel file, go to the download directory and run the following command:
pip install analytics_zoo-*-py2.py3-none-*_x86_64.whl
See here for some remarks with regard to pip install.
Install from pip for local usage
You can use the following command to install the latest release version of analytics-zoo via pip easily:
pip install analytics-zoo
- You are strongly recommended to use Python 3.6 or 3.7. You might need to run
pip3 install analytics-zoo
instead. - You might need to add
sudo
if you don't have the permission for installation. - See here if you want to install the latest nightly build version.
Important:
-
Installing analytics-zoo from pip will automatically install
pyspark
. To avoid possible conflicts, you are highly recommended to unsetSPARK_HOME
if it exists in your environment. -
Please always first call
init_nncontext()
at the very beginning of your code after pip install. This will create a SparkContext with optimized performance configuration and initialize the BigDL engine.
from zoo.common.nncontext import *
sc = init_nncontext()
Remarks:
- We've tested this package with pip 9.0.1.
pip install --upgrade pip
if necessary. - Pip install supports Mac and Linux platforms.
- You need to install Java >= JDK8 before running Analytics Zoo, which is required by
pyspark
. bigdl==0.13.0
,pyspark==2.4.6
,conda-pack==0.3.1
and their dependencies will be automatically installed if they haven't been detected in the current Python environment.
Install from pip for Yarn cluster
You only need to following these steps on your driver node and we only support yarn-client mode for now.
1) Install Conda in your environment.
2) Create a new conda environment (with name "zoo" for example):
conda create -n zoo python=3.6
source activate zoo
3) Install the latest release version of analytics-zoo into the created conda environment.
pip install analytics-zoo
See here if you want to install the latest nightly build version.
4) Download JDK8 and set the environment variable: JAVA_HOME (recommended).
You can also install JDK via conda without setting the JAVA_HOME manually:
conda install -c anaconda openjdk=8.0.152
5) Start python
and then execute the following code to create a SparkContext on Yarn for verification:
from zoo import init_spark_on_yarn
sc = init_spark_on_yarn(
hadoop_conf="path to the yarn configuration folder",
conda_name="zoo", # The name of the created conda-env
num_executors=2,
executor_cores=4,
executor_memory="8g",
driver_memory="2g",
driver_cores=4,
extra_executor_memory_for_ray="10g")
Install without pip
If you choose to install Analytics Zoo without pip, you need to prepare Spark and install necessary Python dependencies.
Steps:
-
- Note that Python 3.6 is only compatible with Spark 1.6.4, 2.0.3, 2.1.1 and >=2.2.0. See this issue for more discussion.
-
You are recommended to download Analytics Zoo prebuilt release package from the Release Page and extract it. Alternatively, you can also build the Analytics Zoo from source.
-
Install Python dependencies. Analytics Zoo only depends on
numpy
andsix
for now.
For Spark standalone cluster
- Remark: If you're running in cluster mode, you need to install Python dependencies on both client and each worker node.
- Install numpy:
sudo apt-get install python-numpy
(Ubuntu) - Install six:
sudo apt-get install python-six
(Ubuntu)
For Yarn cluster
You can run Analytics Zoo Python programs on Yarn clusters without changes to the cluster (i.e., no need to pre-install any Python dependency).
You can first package all the required dependencies into a conda environment on the local node (where you will run the spark-submit command), and then directly use spark-submit to run the Analytics Zoo Python program on the Yarn cluster using that conda environment.
Follow the steps below to create the conda environment:
1) Install Conda in your environment.
2) Create a new conda environment (with name "environment" for example):
conda create -n environment python=3.6 pip=20.0.2 setuptools=45.2.0 conda-pack==0.3.1
conda activate environment
3) Install python dependencies into the created conda environment.
Install the dependencies according to the dependencies listed in requirements.txt
. You can add your own dependencies into this file if you wish. The current requirements only contain those needed for running Analytics Zoo Python examples and models.
pip install -r ${ANALYTICS_ZOO_HOME}/bin/requirements.txt
4) Create conda package for the created conda environment
conda pack -o environment.tar.gz
Then you can find the conda package file under the current directory.


| OLD line(s): 90
| NEW line(s): 91
<xsd:include schemaLocation="../../IndividualIncomeTax/Common/IRS8949/IRS8949.xsd" /> |
| OLD line(s): 299
| NEW line(s): 301
<xsd:include schemaLocation="../../CorporateIncomeTax/Common/IRS4255/RecaptureQualifyingTherapeuticDiscoveryProjectCreditStmt.xsd" /> |
| OLD line(s): 388
| NEW line(s): 391
<xsd:include schemaLocation="../../CorporateIncomeTax/Common/IRS8621/GainOrLossMarketToMarketElectionStatement.xsd" /> |
| OLD line(s): 516
| NEW line(s): 520,522
<!-- Includes for Form 8949 (supporting info, schedules, computations, and such) --> <xsd:include schemaLocation="../../IndividualIncomeTax/Common/IRS8949/BasisOtherThanActualCostOfPropertyStatement.xsd" /> |
| OLD line(s): 1039
| NEW line(s): 1046,1052
<!-- Form 8949 --> <xsd:element ref="IRS8949" minOccurs="0" maxOccurs="unbounded"> <xsd:annotation> <xsd:documentation>IRS Form 8949 - Sales and Other Dispositions of Capital Assets</xsd:documentation> </xsd:annotation> </xsd:element> |
| OLD line(s): 2012
| NEW line(s): 2026,2032
<!-- Form 4255 statement --> <xsd:element ref="QlfyThrputicDiscvProjectCrStmt" minOccurs="0" maxOccurs="unbounded"> <xsd:annotation> <xsd:documentation>Recapture Qualifying Therapeutic Discovery Project Credit Statement</xsd:documentation> </xsd:annotation> </xsd:element> |
| OLD line(s): 2453
| NEW line(s): 2474,2480
<xsd:element ref="GainOrLossMrktToMrktElectStmt" minOccurs="0" maxOccurs="unbounded"> <xsd:annotation> <xsd:documentation>Gain Or Loss Market To Market Election Statement</xsd:documentation> </xsd:annotation> </xsd:element> <!-- Form 8621 statement --> |
| OLD line(s): 3452
| NEW line(s): 3480,3486
<!-- Form 8949 statement --> <xsd:element ref="BasisOthThanActlCostPropStmt" minOccurs="0" maxOccurs="unbounded"> <xsd:annotation> <xsd:documentation>Basis Other Than Actual Cost of Property Statement</xsd:documentation> </xsd:annotation> </xsd:element> |


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Makes One cake
Simnel cake was traditionally given by servant girls to their mothers when they returned home on Mothering Sunday.
Preheat the oven to 150C/280F/Gas 2. Grease and line a 20cm/ 8in cake tin.
Cut the cherries into quarters, put in a sieve and rinse under running water. Drain well then dry thoroughly on kitchen paper.
Place the cherries in a bowl with the butter, sugar, eggs, self-raising flour, sultanas, currants, candied peel, lemon zest and mixed spice and beat well until thoroughly mixed. Pour half the mixture into the prepared tin.
Take one-third of the marzipan and roll it out to a circle the size of the tin and then place on top of the cake mixture. Spoon the remaining cake mixture on top and level the surface.
Bake in the pre-heated oven for about 2½ hours, or until well risen, evenly brown and firm to the touch. Cover with aluminium foil after one hour if the top is browning too quickly. Leave to cool in the tin for 10 minutes then turn out, peel off the parchment and finish cooling on a wire rack.
When the cake is cool, brush the top with a little warmed apricot jam and roll out half the remaining marzipan to fit the top. Press firmly on the top and crimp the edges to decorate. Mark a criss-cross pattern on the marzipan with a sharp knife. Form the remaining marzipan into 11 balls.
Brush the marzipan with beaten egg and arrange the marzipan balls around the edge of the cake. Brush the tops of the balls with beaten egg and then carefully place the cake under a hot grill until the top is lightly toasted.


git am
Apply patch files and create a commit. Useful when receiving commits via email.
See also `git format-patch`, which can generate patch files.
More information: home page
- Apply and commit changes following a local patch file:
git am path/to/file.patch
- Apply and commit changes following a remote patch file:
curl -L https://example.com/file.patch | git apply
- Abort the process of applying a patch file:
git am --abort
- Apply as much of a patch file as possible, saving failed hunks to reject files:
git am --reject path/to/file.patch


Los Angeles, CA
ElliottNes1 (at) gmail.com
Behance.com/ElliottNes1
Instagram.com/ElliottNes1
“With my paintings I explore the concepts of self developement, understanding that we are all in one form or another, coming together, or falling apart, often both at the same time.”
Nes has been cutting and painting stencils for over a decade. Through years of testing, adapting and growth, his paintings are formed through sharp lines and broken images. Influenced by living in the city and interacting with people from all walks of life he appreciates things that aren’t perfect but still hold together. Combined with his love of graffiti he strives to reflect the beauty in the city’s dark and gritty corners - that dichotomy is what makes a place authentic.
2022
Mural - US Bank Tower 73rd Fl., Downtown Los Angeles, CA
2021
Save Our Venues Art Show - Los Angeles, CA
2020
Mural - Mid-Wilshire, Los Angeles, CA
2019
Keep It Fresh Group Exhibition - Arts District, Los Angeles, CA
2018
Mural - Fever Recording Studios, North Hollywood, CA
2018
Mural - Community Center South Central, Los Angeles, CA
2017
Exhibition - Capitol Hill Art Walk Seattle, WA
ABC7
Los Angeles,
2022
ShoutoutLA,
2020
Voyage LA, 2018
Seattle, WA
San Francisco, CA
Los Angeles, CA


My parcel number
(13 characters)
or missed delivery notice number
(11 characters)
Parcel n° : 8J00288349136
Shipped to : PARIS
Date
Description
Location


Let us notify you when our basil products are ready!
Traditional non-stick pans realase toxins when over heated and use PFOA during the manufacturing process. Our healthy non stick pans are sourced from the finest materials and do not require the use of toxic chemicals when made. It is safe to use no matter what you're cooking!
By selling basil products directly to you and exclusively online, we’re removing the unnecessary markups and costs associated with a traditional brick-and-mortar supply chain. Simply put - basil products offer high quality kitchenware at a more affordable price.
We want you to use your basil products for years, and decades to come. That's why we spent months traveling and researching before figuring out the best way to create our products.


Before Change
self.object_ref = object_ref
def __str__(self):
return (
"Object {} is lost (either LRU evicted or deleted by user) and "
"cannot be reconstructed. Try increasing the object store "
"memory available with ray.init(object_store_memory=<bytes>) "
"or setting object store limits with "
"ray.remote(object_store_memory=<bytes>). See also: {}".format(
self.object_ref.hex(),
"https://docs.ray.io/en/latest/memory-management.html"))
class RayTimeoutError(RayError):
Indicates that a call to the worker timed out.
After Change
self.object_ref = object_ref
def __str__(self):
return (
f"Object {self.object_ref.hex()} is lost "
"(either LRU evicted or deleted by user) and "
"cannot be reconstructed. Try increasing the object store "
"memory available with ray.init(object_store_memory=<bytes>) "
"or setting object store limits with "
"ray.remote(object_store_memory=<bytes>). "
"See also: https://docs.ray.io/en/latest/memory-management.html")
class RayTimeoutError(RayError):
Indicates that a call to the worker timed out.


Logistics WP Theme is a great option for those who want to build a stylish and functional business website. With this custom theme the customers will be able to reach your website from their smartphones as the content will automatically adjust to any screen resolution. A full-width header image slider is the perfect place to efficiently convey what your business is about. The theme is primarily intended for transportation companies but it can be easily adjusted to suit any other business as well.


Before talking about domain-specific accelerators, we need to understand how general-purpose CPUs work. I recommend reading my “Building a Pipelined CPU Core” blog post, which gives you a brief overview on how simple pipelined in-order-execution scalar CPUs are designed, how instructions are fetched, decoded and executed. In any case, CPUs receive instructions from memory and those instructions tell it what to do with data. Instructions are usually extremely simple, they're things like “add this to that”, “move this there”, “take this and store it there”, you need multiple instructions to implement most algorithms and most of your useful programs will compile into several instructions, usually thousands of them.
The point is, general purpose CPUs are labelled “general purpose” because they do not have a fixed data path, the flow of data depends entirely on which instructions the CPU is receiving and what those instructions tell it to do. The instructions are decoded into control signals that change what the internal elements do, from where the data will go to telling the arithmetic unit to do addition instead of division, for example. They're designed like this because then you can run any program on it, you don't need a specific ASIC for every single logic operation you want to perform.
Modern CPUs employ a bunch of clever design decisions to help them execute instructions faster, like executing them in a pipelined fashion, executing several independent instructions in parallel and predicting branches ahead of time. Complex caching topologies have also emerged as a way to speed up things, considering memory access is probably one of the slowest single operations in a modern computer.
Likewise, microelectronics is a field that evolved so much during the 90s the CPUs went from operating at a few MHz to operating at a few GHz. The progress slowed down during the next decade, but Intel still managed to go from a 180nm process in 2000 down to 14nm in 2016. Fast paced progress didn't last forever though, their 10nm process was postponed several times due to technical issues and it's still not used in their desktop line of CPUs as of today (early 2021, 5 years later).
CPUs are still getting better, they just do it slowly relative to a few decades ago. We're living a transition from x86 to ARM and from the Intel/AMD duopoly back into a market with multiple players like it used to be before x86 took over. What's even more interesting though, is that CPUs are not even that important anymore when it comes to high performance computing, GPUs have easily taken the crown as the computing devices of choice for most tasks. But what is the difference between modern CPUs and GPUs? CPUs are built to execute a few threads extremely quickly, they're designed to find the parallelism within a thread and exploit it.
GPUs, on the other hand, are designed with massive parallelism in mind from the get go, they have much weaker processing “cores” but they also have way more of them in parallel. Thing is, most computational tasks can be heavily parallelised, especially those you find in scientific computing. Machine Learning has been a hot topic recently, but training any of the bigger models on a CPU would be extremely time consuming and non-feasible, GPUs offer you orders of magnitude better performance because ML usually boils down to millions of multiply-accumulate operations (with a lot of parallelisation opportunity).
But wait a minute, why do we even have GPUs anyway? Surely something named “Graphics Processing Unit” didn't show up to solve machine learning problems, right? Well, yeah. A GPU is our first example of domain-specific accelerator, it's literally a digital system designed to compute the intensity and colour of pixels, thousands of them multiple times each second.  GPUs being good at ML came as a consequence of them being good at graphics, which is another field that's super easy to execute the computations in parallel.
Alright, now I think I can properly explain what domain-specific accelerators are. They're digital systems designed to execute a specific task very well. CPUs need to be good enough at everything, but DSAs can be absolutely horrible at almost everything as long as they're extremely good at a single specific thing. Their circuits are designed with a single problem in mind. Google has designed a few DSAs in the last few years, the Tensor-Processing-Unit (Google TPU) and the Pixel-Visual-Core being the most important ones. The TPU was made to train neural networks more efficiently than GPUs, its architecture was designed with ML in mind from the ground up.
Likewise, the PVC was built for CNN inference so they could use ML techniques to improve the picture quality in their Pixel line of phones, especially in HDR mode. Due to the sheer number of operations, even inference is usually too slow to be done on CPUs if you want to do something in real-time without noticeable slow-downs.
Well-designed DSAs should always outperform CPUs and GPUs, but they're usually not as straightforward to program. Some DSAs have fixed paths and can literally only do a single thing. As an example, most modern SoCs have a few IP blocks dedicated to decoding video/audio codecs like H.264/AVC and H.265/HEVC. On another hand, a CNN accelerator needs to be able to “compute” different CNN architectures, because various things like kernel sizes and number of layers can easily change between different networks. Usually speaking, the issue with flexible DSAs is that programming them isn't nearly as trivial as programming CPUs.
It's the exact same issue FPGAs have had forever, when you design a digital circuit from the ground up to be synthesised into an FPGA, the design process is relatively straightforward. It is difficult and might be a real challenge depending on what you want to build, but it's straightforward nonetheless. What's really confusing, and usually the problem, is that people only think of using FPGAs when they see their program is too slow on their CPUs or GPUs, and then they want transform what's essentially software into hardware (for those of you who have never worked with FPGAs, you can think of them as a huge sea of logic gates you can wire the way you want). You can't do a matrix multiplication in a trivial manner like “C = A*B” like you'd do in something like MATLAB, you need to think of how you retrieve the data from memory, how you'll architecture the multiply-accumulate units, how many clock cycles you're willing to give to your operation to meet timing requirements, how many registers you'll need, etc. Porting software to FPGAs is not an easy task, but every single big player in the field has an HLS tool that “converts” C/C++ code into Verilog or VHDL. To further expand on this, a convolution between an image and a kernel, in software, requires you to loop through the image and for each pixel loop through the kernel performing multiplications and additions. If you attempt to do something like this on an FPGA, you'll likely end up with worse performance than just doing it on your CPU, since the CPU is perfectly capable of doing a single arithmetic operation per clock cycle and runs on much higher clock frequencies.
What you want to be doing instead is, doing the entire inner loop simultaneously with several parallel multiply and add units, and also perhaps doing several output pixels simultaneously with multiple instantiations of this higher-level element.
GPUs have only become somewhat “general-purpose” recently because we have giants like Nvidia and AMD making sure their products are generally well supported through drivers and several abstraction layers. Trying to understand what TensorFlow or PyTorch are doing when you train something on your CPU is already difficult enough, but CUDA and OpenCL do a lot of “magic” for you when you run them on your GPU.
Likewise, Google is responsible for coming up with ways of writing software to their accelerators. They've managed to make both TF and PyTorch able to offload the computational work to the TPUs, which means users like you and me can just do what we've always done but now it runs faster.
I've made a point out of how you can parallelise matrix multiplication because the TPU is essentially just a huge matrix multiply unit capable doing hundreds of operations every clock cycle.
Likewise, the PVS is capable of executing several convolutions simultaneously. Image convolution has the intrinsic quality of a sliding kernel that goes through the image in a loop, which means you'll be performing several operations with nearby pixels in the grid. For that reason, the PVS is designed in a way that it's possible to “shift” the data into any of the 4 directions, so you don't need to be reloading things from memory to change the pixel values getting multiplied by the kernel weights.
[1] Computer Architecture: A Quantitative Approach. by John L. Hennessy and David A. Patterson.
[2] https://cloud.google.com/tpu
[3] https://www.karlrupp.net/2018/02/42-years-of-microprocessor-trend-data/


A context manager for use when defining a Python op.
tf.compat.v2.keras.backend.name_scope
tf.keras.backend.name_scope(name)
This context manager pushes a name scope, which will make the name of all operations added within it have a prefix.
For example, to define a new Python op called my_op
:
def my_op(a): with tf.name_scope("MyOp") as scope: a = tf.convert_to_tensor(a, name="a") # Define some computation that uses `a`. return foo_op(..., name=scope)
When executed, the Tensor a
will have the name MyOp/a
.
name
: The prefix to use on all names created within the name scope.Name scope context manager.


| Class | Description |
|---|---|
| CommunoteRestletServletAdapter |
Extend the restlets
ServletAdapter since we need to specify the
CommunoteRestletServletAdapter.getBaseRef(HttpServletRequest) more freely and
HttpServletRequest.getServletPath() does not seem to fulfill our needs. |
| HttpServletRequestWrapper |
TODO implement javax.servlet.http.HttpServletRequestWrapper instead of
HttpServletRequest |
| RestApiByteArrayInputStream |
A
ByteArrayInputStream contains an internal buffer that contains bytes that may be
read from the stream. |
| RestletApplicationManager<T extends org.restlet.ext.jaxrs.JaxRsApplication> |
Manager or register, unregister and getting
JaxRsApplication for an specific version (for
example a simple major.minor (like 1.3) or prisma-1.3). |
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