Active Support — Utility classes and standard library extensions from Rails
Active Support is a collection of various utility classes and standard library extensions that were found useful for Rails. All these additions have hence been collected in this bundle as way to gather all that sugar that makes Ruby sweeter.
Download
The latest version of Active Support can be found at
Documentation can be found at
Installation
The preferred method of installing Active Support is through its GEM file. You‘ll need to have RubyGems installed for that, though. If you have it, then use:
% [sudo] gem install activesupport-1.0.0.gem
License
Active Support is released under the MIT license.
Support
The Active Support homepage is www.rubyonrails.com. You can find the Active Support RubyForge page at rubyforge.org/projects/activesupport. And as Jim from Rake says:
Feel free to submit commits or feature requests. If you send a patch, remember to update the corresponding unit tests. If fact, I prefer new feature to be submitted in the form of new unit tests.
For other information, feel free to ask on the ruby-talk mailing list (which is mirrored to comp.lang.ruby) or contact david@loudthinking.com.


Bitcoin (BTC) Remains Sell Until This Changes
- Bitcoin price is diving below the $8,340 and $8,200 support levels against the US Dollar.
- The price is approaching the key $8,000 support area, where the bulls may take a stand.
- There is a short term declining channel forming with resistance near $8,165 on the hourly chart of the BTC/USD pair (data feed from Kraken).
- Both Ethereum and ripple are gaining bearish momentum below key supports.
Bitcoin price is declining towards the $8,000 support against the US Dollar. If BTC fails to stay above $8,000, the next stop could be near the $7,650 level.
Bitcoin Price Analysis
Yesterday, we discussed the chances of a breakdown in bitcoin towards the $8,200 support against the US Dollar. BTC did decline in the past three sessions and broke the $8,340 and $8,320 support levels.
Moreover, the price failed to stay above the key $8,200 support level and settled well below the 100 hourly simple moving average. It traded close to the $8,000 level and a new monthly low was formed near $8,033.
At the moment, the price is correcting higher above the $8,100 level. It is consolidating near the 23.6% Fib retracement level of the recent slide from the $8,630 swing high to $8,033 low.
On the upside, an immediate resistance is near the $8,180 and $8,200 levels. Besides, there is a short term declining channel forming with resistance near $8,165 on the hourly chart of the BTC/USD pair.
It bitcoin climbs above the channel resistance, it could test the $8,300 and $8,320 resistance levels. The previous major support near $8,320 is now likely to act as a crucial resistance for bitcoin. Additionally, the 50% Fib retracement level of the recent slide from the $8,630 swing high to $8,033 low is near the $8,330 level.
The main downtrend resistance is now near $8,450, $8,560, a couple of bearish trend lines, and the 100 hourly simple moving average. Therefore, a daily close above the $8,560 resistance is needed to start a decent recovery in the near term.
On the other hand, the price could continue to move down towards $8,000. Furthermore, if there is a downside break below the $8,000 support, the bulls are likely to give up. The next major support is seen near the $7,650 level.
Looking at the chart, bitcoin price is clearly trading in a strong downtrend below the $8,320 and $8,560 resistance levels. Thus, it remains a sell until there is a daily close above $8,560.
Technical indicators:
Hourly MACD – The MACD is losing pace in the bearish zone.
Hourly RSI (Relative Strength Index) – The RSI for BTC/USD is currently moving in the oversold area.
Major Support Levels – $8,000 followed by $7,650.
Major Resistance Levels – $8,200, $8,320 and $8,450.


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Author: Ria Pradeep.
Source code
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Please rate the tutorial on AJAX: It’s rubbish, total rubbish. It’s pretty goooood so far. It’s terrific!
Please rate the overall quality of this site: It’s rubbish, total rubbish. It’s pretty goooood so far. It’s terrific!


A mild-mannered grey cat.
The best dog that ever roamed the planet!!
The possum that lives under my deck.


Protect your privacy
Black Friday VPN Deals 2019: ExpressVPN, IPVanish, NordVPN, PIA & More
by Adam OramWhen you think of Black Friday, deals on VPN services might not immediately come to mind. But while most are considering where to get the best price on a laptop they've been eyeing, or how to get the cheapest phone or other consumer electronics device, why not spare a thought for how you might protect those devices and your privacy?
VPNs are super useful for our increasingly internet-connected lives. If you spend any time at all banking or shopping online, or even surfing on public Wi-Fi hotspots at your favorite coffee shop, you could benefit from a VPN.
What is a VPN?
VPN stands for Virtual Private Network. A VPN takes your Internet connection and makes it more secure, by cloaking your internet activity in anonymity and stops you from being tracked across the web for advertising, having your traffic intercepted, or running into malicious sites. They are also great if you want to access content that is blocked in your region as you can use one to appear as if you are in another country.
You can run a VPN on everything from your computer or phone, to devices like your smart TV, Wi-Fi router, games console, and more, though you'll want to take a look at the below deals to snag the best price on the VPN that has the right features for you.
How do you pick the best VPN provider?
There's a lot to consider when deciding which VPN provider is right for you. As well as making sure it is available on all of the devices you wish to run it on, you also want to consider the service's server variety (both in number and physical location) to ensure you have a reliable connection and speed, what data (if any) will be logged, strength of the encryption used, ease-of-use, and quality of customer support. On top of all of that, you need to make sure the price is something you are comfortable paying.
Most providers will have a free trial or a money-back guarantee so you can try them out without risking your money. That being said, we've gathered up the best deals below with the most pertinent information to help you make an informed choice.
ExpressVPN
ExpressVPN has been around for a long time and is one of the most highly-regarded services out there. Because of that, it is also one of the more expensive services. However, you can actually snag 15 months of the service for the price of 12 right now which works out at just $6.67 per month. It's unlikely that we're going to see a much better deal for it during Black Friday.
Top pick
ExpressVPN
Bottom line: ExpressVPN is pricey when compared to some of the competition, but it does offer reliable servers in more places, has excellent 24/7 customer support, and user-friendly apps for all major platforms that have earned it a solid reputation in the VPN space. It's more costly than some of the other services, but you get what you pay for. You can try it risk-free with a 30-day money-back guarantee.
Pros
- 3,000+ servers in 94 countries
- No user logs (British Virgin Islands jurisdiction)
- Excellent customer support
- Apps for all major platforms
Cons
- Comparatively expensive
IPVanish
IPVanish falls in the middle of the pack for features, server availability, and price. None of that is bad necessarily, as a fairly-priced and reliable VPN service is the kind of product you want to get behind. It offers unlimited P2P traffic, powerful apps for Windows, Mac, Android, iOS, and even Fire TV, as well as a speedy connection.
We saw IPVanish offer deals to coincide with both Amazon Prime Day and Back to School season with prices dropping as low as $3.25 per month, and that exact same deal is back for the month of November for Black Friday and Cyber Monday shoppers. It expires December 2.
Invisibilty cloak
IPVanish
Bottom line: With its current deal, IPVanish is fairly priced for its average feature set. We're expecting a significant price drop come Black Friday so it might be best to hold off on purchasing it before then, especially given it only has a 7-day money-back guarantee.
Pros
- 1,300+ servers in 50+ countries
- Reliable, speedy service
- Apps for all major platforms
- 10 simultaneous connections
Cons
- 7-day money-back guarantee
- U.S.-based
NordVPN
NordVPN is one of the best virtual private network (VPN) providers out there, due to its lack of user logs, plenty of servers, and P2P connectivity. It has apps for Android, iOS, Windows, macOS, Linux, and, and you can use one subscription across six devices simultaneously.
We recently saw NordVPN raise prices, though the best-value 3-year plan only went up by fifty cents per month. However, it is possible that we see prices drop down to their previous levels for Black Friday or Cyber Monday.
Great option
NordVPN
Bottom line: NordVPN is one of the best VPN providers out there. Its balance of features and pricing make it a smart choice for those wanting to protect their privacy with a no-logs VPN. There's a 30-day money-back guarantee so you can try it out risk-free, too.
Pros
- Plenty of servers in many locations worldwide
- No user logs (Panama jurisdiction)
- Anonymous payment options
- Apps for all major platforms
- Lots of extra features
Cons
- Fluctuations in server performance
- Customer service is a little questionable
Surfshark VPN
Surfshark VPN is a new service that has already gained massive popularity. It features 1,000+ servers in 60+ countries, strong encryption, and keeps no logs. It has apps for major platforms like Android, iOS, and Windows, as well as smart TV apps for Apple TV and Fire TV, games consoles, and more. You can also connect as many as you want with one subscription.
We didn't expect that Surfshark — already one of the most affordable VPNs out there — would drop prices any lower for Black Friday, but it has! It's currently offering three free months with its 2-year plan meaning your coverage costs the equivalent of $1.77 per month. That's a total savings of 85% versus paying per month for that length of time.
Affordable
Surfshark VPN
Bottom line: Surfshark VPN is a relative newcomer but has already earned a strong reputation. It's one of the most affordable options on the market and has a solid feature set. It has a 30-day money-back guarantee. This is the best deal we've ever seen for it.
Pros
- Servers worldwide
- No user logs (British Virgin Islands jurisdiction)
- Unlimited device connections
- Apps for all major platforms plus smart TV platforms
Cons
- Sparse support site
- Finicky kill switch
Private Internet Access
Private Internet Access is pretty popular, partially thanks to its already-affordable pricing such as its annual plan that costs just $3.33 per month. It has over 3,000 servers, though they are spread across only 32 countries. It has apps for all of the major mobile and desktop platforms as well as browser extensions. One downside is PIA being based in the U.S. which means any information it has could be requested by intelligence agencies. That being said, PIA states it keeps no logs so there would be nothing to hand over.
We have seen occasional deals at PIA, so we expect there could be movement in price for Black Friday and Cyber Monday.
Connect more
Private Internet Access
Bottom line: Private Internet Access is already affordable at just over $3 per month. It has lots of available servers and you can run it on 10 devices at once which is more than most other providers allow. It's got apps everywhere you'd expect, though there's no live chat for support, just an email ticket-based service.
Pros
- 3,300+ servers in 32 countries
- Strong performance, unlimited bandwidth
- Apps for all major platforms
- 10 simultaneous connections
- Affordable pricing
Cons
- U.S.-based
- Email ticket support
PureVPN
PureVPN is super affordable at only $1.65 per month but reviewers have had some issues with its reliability and speed. It does have one of the broadest server availabilities with over 2,000 servers in 140 countries, so it may be worth trying out yourself to see if you experiece any problems. There is a 31-day money-back guarantee, so there's no risk involved in doing so. It's got apps for all the major platforms, plus add-ons for devices like Kodi, Fire TV and Wi-Fi routers making it a good choice for those niche use cases.
Given its price is so low already, it is unlikely that it will drop for Black Friday, though we have seen the company offer super long-term subscriptions in the past with steep discounts.
Not so fast
PureVPN
Bottom line: PureVPN doesn't have the best track-record in reviews, but it's hard to argue with the price.
Pros
- 2,000+ servers in 140+ countries
- No user logs (Hong Kong jurisdiction)
- Apps for all major platforms plus smart TVs and Wi-Fi routers
- 31-day money-back guarantee
Cons
- Slow speeds
- 5 simultaneous connections
Why would I even want a VPN?
We use the internet for so much these days, and that's only going to increase. VPNs were traditionally (and are still) used as a way to remotely access a company's servers without exposing them to the open internet. However, due to waning internet privacy and shady open Wi-Fi access points just about everywhere you go, VPNs are catching on with the general public.
A VPN offers regular internet users increased privacy and security with strong encryption for your personal data before it hits the open internet. If you spend any time at all on public Wi-Fi networks, like at your favorite coffee shop, a VPN also prevents your traffic from being intercepted by bad actors. They can also provide ad- and tracker-blocking, and help bypass geo-restrictions.
Do you have to pay for a VPN?
While most reputable VPN services rely on subscription-based business models, there are plenty of free VPNs out there. However, it costs money to run thousands of servers and employ staff to maintain them, so VPN providers are going to have to make money somehow. Some will inject ads into your online experience, while others will go so far as to sell your internet traffic to interested parties. What you want to avoid is using a free service that sacrifices your privacy in order to get the price down to free, otherwise you may as well not run a VPN at all.
The best free VPN services generally offer a free tier which has a limited bandwidth or lacks some of the features of its paid tiers to incentivize its free users to become paying users. Some paid VPN providers also offer free trial periods or extended money-back guarantees so you can try out the service risk-free.
Can I use a VPN on my phone?
Absolutely. The vast majority of VPN providers offer apps for your Android and iOS as well as Windows, macOS, Linux, and many more platforms.
Using a VPN on your phone is, for the most part, as easy as installing your provider's app from the relevant app store and following some simple instructions to allow it to run.
Get ready for Black Friday!
- Black Friday Deals
- Black Friday: Everything You Need To Know
- Amazon Black Friday 2019: Best Deals, Ads, & Sales
- Best Buy Black Friday 2019: Best Deals, Ads, & Sales
- Walmart Black Friday 2019: Best Deals, Ads, & Sales
- Black Friday Carrier Deals: Verizon, Sprint, T-Mobile, Mint Mobile, & more
- Black Friday VPN Deals: ExpressVPN, PIA, NordVPN, & more
We may earn a commission for purchases using our links. Learn more.


---
products:
new:
limit: {{theme_settings.homepage_new_products_count}}
featured:
limit: {{theme_settings.homepage_featured_products_count}}
top_sellers:
limit: {{theme_settings.homepage_top_products_count}}
carousel: {{theme_settings.homepage_show_carousel}}
blog:
recent_posts:
limit: {{theme_settings.homepage_blog_posts_count}}
---
{{#partial "hero"}}
{{/partial}}
{{#partial "page"}}
{{> components/home/hero}}
{{#each shipping_messages}}
{{> components/common/alert/alert-info message}}
{{/each}}
{{#if products.new}}
{{> components/products/new products=products.new columns=theme_settings.homepage_new_products_column_count}}
{{/if}}
{{{region name="home_below_new_products"}}}
Populate this marketing banner to advertise a special promotion such as: Save 20% this weekend!
{{lang 'products.featured' }}
{{#each products.new}}
{{> components/common/responsive-img
image=image
class="maxWidth"
fallback_size=theme_settings.productgallery_size
lazyload=theme_settings.lazyload_mode
default_image=theme_settings.default_image_product
}}
{{name}}
{{price.without_tax.formatted}}
{{/each}}
This is where your second home page banner appears. Use this in addition to the global banner for promotions.
{{lang 'products.top' }}
{{#each products.top_sellers}}
{{> components/common/responsive-img
image=image
class="maxWidth"
fallback_size=theme_settings.productgallery_size
lazyload=theme_settings.lazyload_mode
default_image=theme_settings.default_image_product
}}
{{name}}
{{price.without_tax.formatted}}
{{/each}}
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in the D.C. Area
Reboot is a website to help those in the DC area access local and online crisis resources that suit their needs. At the time of its creation, there was no other area-specific database addressing multiple categories of issues. This website hopes to fill that vacancy and encourage others to do so as well, one city at a time.


Connecting
This section describes how to instantiate a client and have it connect to the server.
Basic plumbing:
var elasticSettings = new ConnectionSettings("<IP_ADDRESS>.", 9200)
.SetDefaultIndex("mpdreamz");
var client = new ElasticClient(elasticSettings);
ConnectionSettings
's constructor has many overloads, including support for connecting through proxies.
Connecting
Connecting can be done several ways:
ConnectionStatus connectionStatus;
if (client.TryConnect(out connectionStatus))
Or if you don't care about error reasons
if (client.IsValid)
both will perform a one time lookup to see if ElasticSearch is available and ready by doing a request to /
on the elasticsearch server.
Changing the underlying connection
By default NEST will use HTTP to chat with elasticsearch, alternative implementation of the transport layer can be injected in the constructors optional second parameter
var client = new ElasticClient(settings, new ThriftConnection(settings));
Nest comes with a Htpp connection Connection
, Thrift Connection ThriftConnection
and an in memory connection that nevers hits elasticsearch InMemoryConnection
.
Settings:
Settings can be set in a fluent fashion: new ConnectionSettings().SetDefaultIndex().SetMaximumConnections()
DefaultIndex
Calling SetDefaultIndex()
on ConnectionSettings
will set the default index for the client. Whenever a method is called that doesn't explicitly passes an index this default will be used.
MaximumAsyncConnections
Calling SetMaximumAsyncConnections()
on ConnectionSettings
will set the maximum async connections the client will send to ElasticSearch at the same time. If the maximum is hit the calls will be queued untill a slot becomes available.
TypeNameInferrer
You can pass a Func<string,string>
to SetTypeNameInferrer()
on ConnectionSettings
to overide NEST's default behavior of lowercasing and pluralizing typenames.
UsePrettyResponses
Setting UsePrettyResponses()
on ConnectionSettings
will append pretty=true
to all the requests to inform ElasticSearch we want nicely formatted responses, setting this does not prettify requests themselves because bulk requests in ElasticSearch follow a very exact line delimited format.
MapTypeIndices
Allows you to globally set the default type name for a type.
.MapTypeIndices(s=>s
.Add(typeof(MyType), "mytupo")
.Add(typeof(YoutubeMovie), "mov")
);


Since July 2013 I have had the opportunity to be a part of the Allstate Leadership Development Program,
which currently has me placed as a Senior Analyst in Integrated Marketing Communications. As a Senior Analyst
I have worked on many great projects, including a content marketing eNewsletter called Good Hands News
which is sent to 3.5 million Allstate customers. For the eNewsletter I handle the day to day operations of taking
the concepts to the reality of a eNewsletter including leading user agreement testing (UAT) for the webpage to
go live. In addition to Good Hands News, a large part of my job includes taking an AIM from an AOR and
developing the concept into a customer-facing email. Many of the emails go to millions of Allstate customerse
across th country. Please see below for examples of Allstate Good Hands News eNewsletter.
... |


Software as a Service that aims to increase efficiency in manufacturing production processes through monitoring of critical parameters and applying ML agorithms to forecast potential failures.
We found that HutGrip creates great
value to equipment manufacturers, by
providing them with more meaningful data,
alarms, reporting and data analytics
capabilities.
- GigTank May-July 2013 - HutGrip was
part of The GigTank accelerator program
focussed on Smart Grid applications.
- Launch Tennessee - After a
statewide competition in August 2013, we
became one of ten teams to get a $10,000
grant and join the LaunchTN Tenn program
for high-growth potential companies.
- We became Get In the Ring finalist with HutGrip in 2013 -
a competition organized by the Erasmus
Centre for Entrepreneurship, Global
Entrepreneurship Week
- I worked on a white paper about creating Software Intensive products in the industry
Here's the abstract:
The use of software in the Industry is becoming the competitive differentiator in new
product development. Software has the ability to create new and better services and help
people and machines achieve better KPIs. In the field of Industry Equipment Manufacturers,
efficiency is king - for them and for their customers. The latest technological advancements
can bring even more efficiency through utilizing integrated software platforms and complex
data analytics. Using Statistics and Machine Learning algorithms to analyze data is the only
way to bring the most value to the OEMs almost out-of-the-box. There are data analytics
algorithms that can help at different levels of the software system. HutGrip’s solution
provides a software infrastructure and data analytics focused in two key directions -
forecasting in order to prevent potential costly failures and anomaly detection.
As one of two co-founders, my role
combined both technical and
business/customer development
responsibilities.
<< back


Data Processing Functions¶
Supported processing operations are described below. Functions are organized categorically.
In most cases, a “safe” version of each function can be invoked to create a new SeisData object with the processed output.
Any function that can logically operate on a SeisChannel object will do so. Any
function that operates on a SeisData object will also operate on a SeisEvent
object by applying itself to the SeisData object in the :data
field.
Signal Processing¶
Remove the mean from all channels i with S.fs[i] > 0.0. Specify irr=true to also remove the mean from irregularly sampled channels. Ignores NaNs.
Remove the polynomial trend of degree n from every regularly-sampled channel i in S using a least-squares polynomial fit. Ignores NaNs.
-
equalize_resp!(S, resp_new::Array[, hc_new=HC, C=CH])
Translate all data in SeisData structure S to instrument response resp_new. Expected structure of resp_new is a complex Float64 2d array with zeros in resp[:,1], poles in resp[:,2]. If channel i has key S.misc[i][“hc”], the corresponding value is used as the critical damping constant; otherwise a value of 1.0 is assumed.
-
filtfilt!(S::SeisData[; KWs])
Apply a zero-phase filter to data in S.x.
-
filtfilt!(Ev::SeisEvent[; KWs])
Apply zero-phase filter to Ev.data.x.
-
filtfilt!(C::SeisChannel[; KWs])
Apply zero-phase filter to C.x
Filtering is applied to each contiguous data segment of each channel separately.
### Keywords Keywords control filtering behavior; specify e.g. filtfilt!(S, fl=0.1, np=2, rt=”Lowpass”). Default values can be changed by adjustin the shared keywords, e.g., SeisIO.KW.Filt.np = 2 changes the default number of poles to 2.
| KW | Default | Type | Description |
|---|---|---|---|
| fl | 1.0 | Float64 | lower corner frequency [Hz] (a) |
| fh | 15.0 | Float64 | upper corner frequency [Hz] (a) |
| np | 4 | Int64 | number of poles |
| rp | 10 | Int64 | pass-band ripple (dB) |
| rs | 30 | Int64 | stop-band ripple (dB) |
| rt | “Bandpass” | String | response type (type of filter) |
| dm | “Butterworth” | String | design mode (name of filter) |
(a) By convention, the lower corner frequency (fl) is used in a Highpass filter, and fh is used in a Lowpass filter.
-
taper!(S)
Cosine taper each channel in S around time gaps.
-
unscale!(S[, irr=false])
Divide the gains from all channels i with S.fs[i] > 0.0. Specify irr=true to also remove gains of irregularly-sampled channels.
Merge¶
-
merge!(S::SeisData, U::SeisData)
Merge two SeisData structures. For timeseries data, a single-pass merge-and-prune operation is applied to value pairs whose sample times are separated by less than half the sampling interval.
-
merge!(S::SeisData)
“Flatten” a SeisData structure by merging data from identical channels.
Merge Behavior¶
Which channels merge?¶
- Channels merge if they have identical values for
:id
,:fs
,:loc
,:resp
, and:units
. - An unset
:loc
,:resp
, or:units
field matches any set value in the corresponding field of another channel.
What happens to merged fields?¶
- The essential properties above are preserved.
- Other fields are combined.
- Merged channels with different :name values use the name of the channel with the latest data before the merge; other names are logged to :notes.
What does merge!
resolve?¶
| Issue | Resolution |
|---|---|
| Empty channels | Delete |
| Duplicated channels | Delete duplicate channels |
| Duplicated windows in channel(s) | Delete duplicate windows |
| Multiple channels, same properties(a) | Merge to a single channel |
| Channel with out-of-order time windows | Sort in chronological order |
| Overlapping windows, identical data, time-aligned | Windows merged |
| Overlapping windows, identical data, small time offset(a) | Time offset corrected, windows merged |
| Overlapping windows, non-identical data | Samples averaged, windows merged |
(a) “Properties” here are :id
, :fs
, :loc
, :resp
, and :units
.
(b) Data offset >4 sample intervals are treated as overlapping and non-identical.
When SeisIO Won’t Merge¶
SeisIO does not combine data channels if any of the five fields above are non-empty and different. For example, if a SeisData object S contains two channels, each with id “XX.FOO..BHZ”, but one has fs=100 Hz and the other fs=50 Hz, merge! does nothing.
It’s best to merge only unprocessed data. Data segments that were processed independently (e.g. detrended) will be averaged pointwise when merged, which can easily leave data in an unusuable state.
Synchronize¶
-
sync!(S::SeisData)
Synchronize the start times of all data in S to begin at or after the last start time in S.
-
sync!(S::SeisData[, s=ST, t=EN, v=VV])
Synchronize all data in S to start at ST and terminate at EN with verbosity level VV.
For regularly-sampled channels, gaps between the specified and true times are filled with the mean; this isn’t possible with irregularly-sampled data.
Specifying start time (s)¶
- s=”last”: (Default) sync to the last start time of any channel in S.
- s=”first”: sync to the first start time of any channel in S.
- A numeric value is treated as an epoch time (?time for details).
- A DateTime is treated as a DateTime. (see Dates.DateTime for details.)
- Any string other than “last” or “first” is parsed as a DateTime.
Specifying end time (t)¶
- t=”none”: (Default) end times are not synchronized.
- t=”last”: synchronize all channels to end at the last end time in S.
- t=”first” synchronize to the first end time in S.
- numeric, datetime, and non-reserved strings are treated as for -s.
-
mseis!(S::SeisData, U::SeisData, ...)
Merge multiple SeisData structures into S.
Other Processing Functions¶
-
nanfill!(S)
For each channel i in S, replace all NaNs in S.x[i] with the mean of non-NaN values.
-
ungap!(S[, m=true])
For each channel i in S, fill time gaps in S.t[i] with the mean of non-NAN data in S.x[i]. If m=false, gaps are filled with NANs.


vibrational energy quantum state Hamiltonian harmonic Phys. electronic using levels nuclear ground oscillator Chem. initial potential structure {border-style used number px;} use #ffffff;} classical eigenstates unitary Aspuru-Guzik Franck–Condon modes molecular T[combining circumflex] normal order simulation accurate ansatz calculate method methods qubit However, Sci. approximation basis operators Rev. UVCC calculations consider efficiently obtain obtained vibrations Fig. Hamiltonian. coordinates simulations solving ,,, Hamiltonian, Lett. algorithms different integrals mode problem product respectively. spectra time variational Doktorov Hamiltonians Huh Love cluster computers. coupled error large molecules molecules. problems properties px; qubits. ref. resulting simulating states systems terms work {font-family Appendix Babbush McClean Quantum VSCF ansatz, approximation, arXiv:., compact context direct dynamics font-size investigate possible problem, qubits small solve Alternatively, Benjamin M.-H. Proc. Vibrational Yung analog anharmonic arXiv:.. creation degrees described discussed double; dynamic mapped mode. overlap proposed required results single states, static systems, thermal truncated Berry Christiansen Duschinsky Section border-color border-width computer. construct encode excitation exp( exponentially final higher introduce low mapping molecules, operator oscillators parameters properties, related result, shown simple solid; state, state. states. transform transformation transition universal wavefunctions work, {font-style {font-weight ψfvib| Acad. Born–Oppenheimer Condon Dok| Kivlichan Low Molecular Natl. Pauli Using VCC Yuan Zhang absorption annihilation approximations bold bosonic chemical chosen coefficients computational considering coordinate courier; difficult directly eigenstate em; estimation expansion fourth freedom gates general ideal important levels. lines local localised lowest make mapping, mass-weighted matrix methods, note obtaining phase potential. pp. preprint pt;} represented required. route self-consistent spectral sufficiently theory unit Ψivib〉 μ̂( ψivib〉 ψivib〉|| 〉,,


NERD IN DISGUISE:BLOOD BOUND
GENRE:ACTION,ADVENTURE
DESCRIPTION:The name is Shay Ricca. I really hate high school. I'm not a nerd by the way. I'm only dressed like one for my safety. I wouldn't be acting so weak and timid just for any reason.

When some guy comes and ruins my carefully planned disguise. Then, throw in some Family drama and people who are targeting my life.
Goodbye Nerd Disguise, hello old identity, old life, old friends, and new enemies. It's the Family business, where plotting someone's assassination is just part of the daily duty.
(Unedited)


Arsenal Fan TV hit back at Ray Parlour after Gunners legend's criticism
Unai Emery was sacked on Friday morning after Arsenal had struggled to seven matches without a win. Subsequently Ray Parlour and AFTV are locked in a war of words
by Alex SmithRay Parlour has criticised Arsenal Fan TV and rebranded them as ' Arsenal Fail TV' in the wake of Unai Emery's departure from north London.
But the channel has fired back at the Gunners legend and turned his condemnation back at him.
AFTV, as they are now officially known, meet after every Arsenal match to discuss what they have just seen and the latest goings-on at the club - with it popping into the public consciousness whenever they are doing badly.
The Gunners have been in poor form recently - having failed to win any of their last seven matches in all competitions - with Emery sacked as manager on Friday morning following the previous evening's defeat to Eintracht Frankfurt in the Europa League.
And Parlour slammed AFTV for their negative manner in the recent history.
"Was that Arsenal Fan TV? They want them to fail," Parlour said on talkSPORT after being shown a clip of the YouTube stars.
“How can they call it Arsenal Fan TV? “Arsenal Fan TV want Arsenal to lose as it is better for them.”
“They should call it Arsenal Fail TV if I'm being honest.”
Regular contributor DT was not impressed when he heard Parlour's quotes and took to social media to called the ex-midfielder a hypocrite.
DT wrote on Twitter : "You were not calling it that when you were on there, Ray.

Meanwhile, Parlour has identified what interim manager Freddie Ljungberg's priorities should be.
“Defensively, you have to be much better. How many times have Arsenal been in front and suddenly, they’ll always give the other team a chance to get back into the game. Sometimes you have to see a game out," he told talkSPORT.
“Get a unit set and I think Freddie would do that because he played in sides that did that.
"When we played against sides and we were in front but right up against it, he knows how to organise that midfield area because it’s not all about the defence, it’s about the shield in front of them.
“They come from all angles in midfield, there’s no structure. You might well put four or five bodies forward but when it breaks down, suddenly the opposition are at the back four.”


Take this short survey for a recommendation on which code school track might be best for you!
You can also learn more about the Intro to Programming class that Epicodus offers. It will give you an introduction into a few different languages and help you figure out what career path you would like to pursue.


About me
I have a passion for creating meaningful and magical experiences with software and hardware. Focused on empowering content creation and creativity, and computing that feels human.
I'll be joining Valve full-time starting Summer 2018 to work on virtual reality.
My projects have used C, C++, C#, Python, Javascript, C#, Java, and PHP.
Places I can be found:
You can also read my resume.
I study computer science at the Rochester Institute of Technology. I'm a member of the Computer Science House.
Email me here.


Next:
SLA_OAP - Observed to Apparent
Up:
SUBPROGRAM SPECIFICATIONS
Previous:
SLA_NUT - Nutation Matrix
SLA_NUTC - Nutation Components
ACTION:
Nutation (IAU 1980 theory): longitude & obliquity components, and mean obliquity.
CALL:
CALL sla_NUTC (DATE, DPSI, DEPS, EPS0)
GIVEN:
DATE
D
TDB (formerly ET) as Modified Julian Date (JD-2400000.5)
RETURNED:
DPSI,DEPS
D
nutation in longitude and obliquity (radians)
EPS0
D
mean obliquity (radians)
REFERENCES:
1.
Final report of the IAU Working Group on Nutation, chairman P.K.Seidelmann, 1980.
2.
Kaplan, G.H., 1981.
USNO circular no. 163
, pA3-6.
Next:
SLA_OAP - Observed to Apparent
Up:
SUBPROGRAM SPECIFICATIONS
Previous:
SLA_NUT - Nutation Matrix
SLALIB --- Positional Astronomy Library
Starlink User Note 67
P. T. Wallace
12 October 1999
E-mail:ptw@star.rl.ac.uk


If angular cli is installed on you machine, you should get something like this
If not please run the following command to install angular cli globally in order to create an angular project
If you have already a setup angular project, you can skip this step, otherwise you can generate a project via the angular cli by running the following
When the angular cli is done with generating the project, navigate to you your app and check the project structure.
Now you just need to import the library
Once installed you need to import the main module:
The only remaining part is to list the imported module in your application module. The exact method will be slightly different for the root (top-level) module for which you should end up with the code similar to (notice NgxCombinationGeneratorModule .forRoot()): NB: please do not forget to import the angular animations module in your root component too! (usally app.component.ts)
Other modules in your application can simply import NgxCombinationGeneratorModule:
Import and inject the service, then call the generate method. See the example below
Try it out 🤓
Clone this repo by running this following command
navigate to the demo directory
install the dependencies
start the app
the app is now hosted on http://localhost:4200/
waiting......


About Me
I am a seasoned business professional with 25+ years of corporate and organizational leadership, as well as customer service and support experience in the financial, advertising, and education sectors.
Recognized as boosting a satisfaction index from 77% to 92% within a two-year period, as well as innovating original process developments to streamline and improve operations, I have a verifiable history of contribution to business development and customer satisfaction throughout my career.
As such, I have consistently exceeded performance goals and I am adept at achieving maximum operational output with minimal resource expenditure.


Drag me vertically
Stuck in the box but can move vertically
I am stuck in the box but can move any whichever way


Class Suspender
Class for simple work suspending. It is poosible to suspend work (Suspend()) several times, but in that
case it is necessary to resume (Kros.Utils.Suspender.Resume) it the same number of times. The easiest way of suspending
work is using the using
block.
Namespace: Kros.Utils
Assembly: Kros.Utils.dll
Syntax
public class Suspender
Remarks
It is useful for example in object initialization. During the initialization it is often necessary not to perform
certain actions. Standard way is using some flag if the initialization is running. The Suspender
class
encapsulates the management of this flag, while it is possible to set this flag several times in succession
(nested work suspending).
Examples
private Suspender _initSuspender = new Suspender();
private void Init()
{
using (_initSuspender.Suspend())
{
// Do initialization...
}
}
private void DoWork()
{
// Do general work.
if (!_initSuspender.IsSuspended)
{
// Do work only when not initializing.
}
}
Properties
IsSuspended
The flag, if work is (true), or not (false).
Declaration
public bool IsSuspended { get; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Methods
ResumeCore()
Used for specific (inherited) suspender implementations. This method is executed when the work is resumed for the last time. So it means it is executed when IsSuspended flag is changing from true to false.
Declaration
protected virtual void ResumeCore()
Remarks
Method is intended for implementing custom logic in own suspender when resuming work. It is executed only once during the last work resuming (preceding work resumings do not call ResumeCore()). The method is called after the IsSuspended flag is changed, so the value of flag while the method is executing is false.
Suspend()
Suspends the - sets the IsSuspended flag to true. If this method is called several times, it is necessary to call Kros.Utils.Suspender.Resume the same number of times to clear IsSuspended flag.
Declaration
public IDisposable Suspend()
Returns
| Type | Description |
|---|---|
| System.IDisposable | Returns helper object, which automatically calls Kros.Utils.Suspender.Resume when disposed of, so it is convenient
to use |
Examples
private Suspender _initSuspender = new Suspender();
private void Init()
{
using (_initSuspender.Suspend())
{
// Do initialization...
}
}
private void DoWork()
{
// Do general work.
if (!_initSuspender.IsSuspended)
{
// Do work only when not initializing.
}
}
SuspendCore()
Used for specific (inherited) suspender implementations. This method is executed when Suspend() is called for the first time. So it means it is executed when IsSuspended flag is changing from false to true.
Declaration
protected virtual void SuspendCore()
Remarks
Method is intended for implementing custom logic in own suspender when suspending work. It is executed only once during the first call of Suspend() (subsequent calls to Suspend() do not call SuspendCore()). The method is called before the IsSuspended flag is changed, so the value of flag while the method is executing is false.


Welcome to LinkBox!
This is a simple application that lets you store a list of useful links with an optional description. To see how it was built go to tutorial.
This is a simple application that lets you store a list of useful links with an optional description. To see how it was built go to tutorial.


Along the Gulf of Guinea lies the beautiful West African country of Ghana. Its culture and traditions are rich and vibrant.The people of Ghana are warm and friendly. They are polite, open and trusting — even with strangers. In Ghanaian society, it is traditional to take life at a relaxed pace and view time as a series of events rather than a matter of hours or minutes.An interesting factor is they say people are more important than schedules.It is custom for Ghanaians to exchange pleasantries and ask about family before beginning business. If a Ghanaian gets interrupted while eating, he invites the other to join him. Depending on the level of familiarity, the person may wash his hands and join in. If the relationship is casual, it is tradition for the other person to politely decline.Among common greetings and responses in Ghana are:
Akan names are derived from Ghanian culture. Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born. Here are Ghanian day names;
Males.
Fill out the form to know your Akan Name.


| Business Constitution Description | Primary SSIC Code | Primary SSIC Description | Primary User Described Activity | Secondary SSIC Code | Secondary SSIC Description | Secondary User Described Activity | Entity Status Description | UEN Issue Date | UEN | Registration Incorporation Date | Number Of Officers | Company Type Description | Entity Type Description | Entity Name | Former Entity Name | Number Of Charges | Paid Up Capital | Paid Up Capital Currency | Address Type | Building Name | Unit Number | Street Name | Block | Level Number | Postal Code | Latitude | Longitutde | Bank Account |


Create EC2 Instance AWS
Amazon Web Services is a cloud-based platform, EC2 is a primary part of AWS. Its allows renting virtual computer on which to run their own application. EC2 helps to create the scalable deployment of applications by booting (AMI) Amazon Machine Image to configure a virtual machine.
Login into your AWS account as IAM user, if you don’t have it than root (not recommended)
Click on Running instances: Click on Launch instances: Choose AMI you like, I will choose free tier Amazon Linux 2 AMI (HVM), Click on free tier again for Step 3, leave it as is, click Next: Add Storage Add Storage, I will leave it as is Add Name for your EC2 Add HTTP port 80 to open access to the public Review Launch Create your key, and then click download View instance or go back to EC2 dashboard you can see EC2 is running Click on connect, to view how to connect into your instance To stop or terminate EC2, click EC2 Dashboard, Actions > Instance State > stop or terminate


Ticket ID: 409788
Status:
Not answered
Name:
Parker Seidel
No Active Support
Email:
<EMAIL_ADDRESS>Response Time:
72hours, 60hours left
Last Action:
Never been locked.
Link to public post


MANHATTAN MURDER MYSTERY A film review by James Berardinelli Copyright 1993 James Berardinelli
Rating (Linear 0 to 10): 7.9
Date Released: 8/20/93 (8/18 in NYC only) Running Length: 1:48 Rated: PG (Mature themes)
Starring: Woody Allen, Diane Keaton, Alan Alda, Anjelica Houston, Jerry Adler Director: Woody Allen Producer: Robert Greenhut Screenplay: Woody Allen and Marshall Brickman Music: various Released by TriStar Pictures
What happens when a bored wife thinks her kindly old neighbor commits a murder? Woody Allen attempts to answer the question in his latest cinematic endeavor, MANHATTAN MURDER MYSTERY.
Carol Lipton (Diane Keaton) and her husband Larry (Woody Allen) are caught in a routine, commonplace marriage - until Carol turns into Nancy Drew following the death of a neighbor. It all seems like a open-and- shut case of a heart attack, and the police aren't thinking foul play, but Carol becomes suspicious when the widower of the dead woman (Jerry Adler) doesn't mourn "enough" ("What should he do", asks Larry, "walk down the street sobbing?"). With the help of Ted (Alan Alda), a close friend who encourages her sleuthing, she begins to assemble "clues" to fit her pet theory of a murder. But the evidence is weak, and Larry becomes concerned that his wife is obsessed with a macabre fantasy. He tries to be the voice of reason, but when no one listens to him, he ends up playing along.
Part of the fun of MANHATTAN MURDER MYSTERY is guessing whether or not Lillian House was murdered, as Carol believes, or simply died of a heart attack. In a sense, that's the mystery of the film, and Woody Allen brings across the solution with his characteristic mix of madcap comedy and on-target realism.
In 1979, director Allen made MANHATTAN, a movie that many critics and fans consider to be his greatest effort. Between then and now, Diane Keaton has been absent from Allen's films, and her return in MURDER MYSTERY is a welcome change from helium-voiced Mia Farrow. Ms. Keaton is a breezy, energetic personality, and it's hard to imagine anyone else doing nearly as much with the character of Carol (even though this part was originally conceived with Farrow in mind, and wasn't re-written following the cast change). One need only look at the Allen/Keaton and Allen/Farrow collaborations to determine which pairing worked better, and MURDER MYSTERY merely reinforces this conclusion.
Some claim that to have seen one Woody Allen picture is to have seen them all. To say that not only vastly oversimplifies things, but does a great injustice to the individuality of each of Allen's projects. Sure, there are a number of themes that he returns to like a comfortable chair, and the character he plays rarely varies from a basic neurotic type (no one would accuse Allen of having great range as an actor), but each of his films - even those that fail (take SHADOWS AND FOG, for instance) - offers something fresh and unique.
HUSBANDS AND WIVES, Allen's previous picture, is a drama with humorous elements. MANHATTAN MURDER MYSTERY is closer to a straightforward comedy, providing more laughs than anything Allen has done in a long while (he claims to have "indulged" himself with this movie). Combined with numerous one-liners, almost all of which work, are several instances of well-timed and well-executed physical humor. Allen pushes all the buttons from wit to slapstick, and rarely comes up empty.
If there's a serious side to MURDER MYSTERY, it's only to be expected. After all, the director has a reputation to maintain, and the movie's principal subject - death - isn't usually a laugh-a-minute riot. Allen also takes a look at love, as the twenty-year marriage of Carol and Larry is put under the microscope.
Film buffs will find the usual number of references to look for, although these are perhaps more explicit than in many Allen movies, and include DOUBLE INDEMNITY, REAR WINDOW, and THE LADY FROM SHANGHI. There certainly may be others, as Allen has a habit of putting more into his films than anyone can hope to get in one sitting.
A word has to be said about the annoying cinematography of Carlo Di Palma, who returns after causing audiences motion-sickness with his wobbly, hand-held camerawork in HUSBANDS AND WIVES. While the intention is obviously to draw the viewer into the film, it actually has the opposite effect; the camera cannot compensate the way the human eye can. Admittedly, this method seems less distracting here than in the previous film, although this could be a case of greater exposure breeding immunity.
Woody Allen is rarely a big commercial draw, and whether his off-screen antics will boost his box-office take remains to be seen, but MANHATTAN MURDER MYSTERY may be his most accessible film since HANNAH AND HER SISTERS. This movie is still pure Allen, but the humor is broad-based, and the "quirkiness" often associated with the director is kept to a minimum. Frankly, it's been years since I've enjoyed Woody Allen this much.
- James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


This example shows how you can use the Vernier Go Direct Module to connect to a Vernier Go Direct Sensor with bluetooth and add it to desmos for further manipulation.


The sfo package provides summary statistics of the monthly passengers and landing in San Francisco International Airport (SFO) between 2005 and 2020.
Data source: San Francisco data portal - DataSF API
Install the stable version from CRAN:
install.packages("sfo")
or install the development version from Github:
# install.packages("devtools") devtools::install_github("RamiKrispin/sfo", ref = "main")
The sfo package provides the following two datasets:
sfo_passengers
- air traffic passengers statisticssfo_stats
- air traffic landing statisticsMore information about the datasets available on the following vignette.
The sfo_passengers
dataset provides a monthly summary of the number of passengers in SFO airport by different categories (such as terminal, geo, type, etc.):
library(sfo) data("sfo_passengers") head(sfo_passengers) #> activity_period operating_airline operating_airline_iata_code published_airline published_airline_iata_code geo_summary geo_region activity_type_code price_category_code terminal #> 1 202012 United Airlines UA United Airlines UA Domestic US Enplaned Other Terminal 3 #> 2 202012 United Airlines UA United Airlines UA Domestic US Thru / Transit Other Terminal 3 #> 3 202012 United Airlines UA United Airlines UA International Asia Deplaned Other International #> 4 202012 United Airlines UA United Airlines UA International Asia Enplaned Other International #> 5 202012 United Airlines UA United Airlines UA International Australia / Oceania Deplaned Other International #> 6 202012 United Airlines UA United Airlines UA International Australia / Oceania Enplaned Other International #> boarding_area passenger_count #> 1 F 117260 #> 2 F 61 #> 3 G 12763 #> 4 G 16050 #> 5 G 2733 #> 6 G 2878
The sfo_stats
dataset provides a monthly statistics on the air traffic landing at SFO airport:
data("sfo_stats") head(sfo_stats) #> activity_period operating_airline operating_airline_iata_code published_airline published_airline_iata_code geo_summary geo_region landing_aircraft_type aircraft_body_type aircraft_manufacturer #> 1 202012 United Airlines UA United Airlines UA Domestic US Passenger Narrow Body Boeing #> 2 202012 United Airlines UA United Airlines UA Domestic US Passenger Wide Body Boeing #> 3 202012 United Airlines UA United Airlines UA Domestic US Passenger Wide Body Boeing #> 4 202012 United Airlines UA United Airlines UA International Asia Passenger Wide Body Boeing #> 5 202012 United Airlines UA United Airlines UA International US Passenger Wide Body Boeing #> 6 202012 United Airlines UA United Airlines UA Domestic US Passenger Wide Body Boeing #> aircraft_model aircraft_version landing_count total_landed_weight #> 1 B753 - 78 17472000 #> 2 B763 - 19 6080000 #> 3 B772 - 96 43500000 #> 4 B772 - 1 460000 #> 5 B772 - 8 3680000 #> 6 B773 - 35 19390000
The total number of passengers in most recent month by activity_type_code
and geo_region
:
library(dplyr) sfo_passengers %>% filter(activity_period == max(activity_period)) %>% group_by(activity_type_code, geo_region) %>% summarise(total = sum(passenger_count), .groups = "drop") #> # A tibble: 17 x 3 #> activity_type_code geo_region total #> * <chr> <chr> <int> #> 1 Deplaned Asia 24631 #> 2 Deplaned Australia / Oceania 2733 #> 3 Deplaned Canada 4688 #> 4 Deplaned Central America 4240 #> 5 Deplaned Europe 12385 #> 6 Deplaned Mexico 20789 #> 7 Deplaned Middle East 2179 #> 8 Deplaned US 364571 #> 9 Enplaned Asia 30418 #> 10 Enplaned Australia / Oceania 2878 #> 11 Enplaned Canada 4257 #> 12 Enplaned Central America 3684 #> 13 Enplaned Europe 13661 #> 14 Enplaned Mexico 29537 #> 15 Enplaned Middle East 2463 #> 16 Enplaned US 395548 #> 17 Thru / Transit US 61
The sankey_ly
function enables us to plot the distribution of a numeric variable by multiple categorical variables. The following example shows the distribution of the total United Airlines passengers during 2019 by terminal, travel type (domestic and international), geo, and travel direction (deplaned, enplaned, and transit):
sfo_passengers %>% filter(operating_airline == "United Airlines", activity_period >= 201901 & activity_period < 202001) %>% mutate(terminal = ifelse(terminal == "International", "international", terminal)) %>% group_by(operating_airline,activity_type_code, geo_summary, geo_region, terminal) %>% summarise(total = sum(passenger_count), .groups = "drop") %>% sankey_ly(cat_cols = c("operating_airline", "terminal","geo_summary", "geo_region", "activity_type_code"), num_col = "total", title = "Dist. of United Airlines Passengers at SFO During 2019")
The total number of landing in most recent month by activity_type_code
and aircraft_manufacturer
:
sfo_stats %>% filter(activity_period == max(activity_period), aircraft_manufacturer != "") %>% group_by(aircraft_manufacturer) %>% summarise(total_landing = sum(landing_count), `.groups` = "drop") %>% arrange(-total_landing) %>% plot_ly(labels = ~ aircraft_manufacturer, values = ~ total_landing) %>% add_pie(hole = 0.6) %>% layout(title = "Landing Distribution by Aircraft Manufacturer during Sep 2020")
The following Sankey plot demonstrate the distribution of number of landing in SFO by region and aircraft type, manufacturer, and body type during Sep 2020:
sfo_stats %>% filter(activity_period == max(activity_period)) %>% group_by(geo_summary, geo_region, landing_aircraft_type, aircraft_manufacturer, aircraft_body_type) %>% summarise(total_landing = sum(landing_count), groups = "drop") %>% sankey_ly(cat_cols = c("geo_summary", "geo_region", "landing_aircraft_type", "aircraft_manufacturer", "aircraft_body_type"), num_col = "total_landing", title = "Landing Summary by Geo Region and Aircraft Type During Sep 2020")


Password Cracker checkpwd will crack the DES-based hashes from Oracle 8, 9, 10+.
Oracle 11 and 12 hashes are in the spare4 table.
 The salt is the last 20 chars. Hashcat type 112.
H: seems to be used for digest auth in XDB. The username is uppercased, then the MD5 hash is calculated from it, and 'XDB' and password are separated by colons:
import hashlib
m = hashlib.md5()
m.update('DEMO:XDB:epsilon')
m.hexdigest().upper()
'DC9894A01797D91D92ECA1DA66242209'
This makes it possible to attack built-in user passwords using pre calculated hashes for dictionary words prefixed with constants like 'SYSTEM:XDB:'.
T: processed via PBKDF2 followed by SHA512. The actual hash is the last portion of that string, following the "T:" Loading it into hashcat just requires you to set the hash type to -m 12300


| Top |
Object Hierarchy
GEnum ╰── NcReducedShearCalibWtgSParams GObject ╰── NcmModel ╰── NcReducedShearCalib ╰── NcReducedShearCalibWtg
Functions
nc_reduced_shear_calib_wtg_new ()
NcReducedShearCalibWtg *
nc_reduced_shear_calib_wtg_new (void
);
Creates a new MVND mean model of dim
dimensions.
nc_reduced_shear_calib_wtg_ref ()
NcReducedShearCalibWtg *
nc_reduced_shear_calib_wtg_ref (NcReducedShearCalibWtg *rs_wtg
);
Increases the reference count of rs_wtg
by one.
nc_reduced_shear_calib_wtg_free ()
void
nc_reduced_shear_calib_wtg_free (NcReducedShearCalibWtg *rs_wtg
);
Decreases the reference count of rs_wtg
by one.
nc_reduced_shear_calib_wtg_clear ()
void
nc_reduced_shear_calib_wtg_clear (NcReducedShearCalibWtg **rs_wtg
);
If rs_wtg
is different from NULL, decreases the reference count of
rs_wtg
by one and sets rs_wtg
to NULL.
Property Details
The “c”
property
“c” double
c.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: -1e-05
The “c-fit”
property
“c-fit” gboolean
c:fit.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: TRUE
The “mb”
property
“mb” double
m_b.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: -0.028
The “mb-fit”
property
“mb-fit” gboolean
m_b:fit.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: TRUE
The “mslope”
property
“mslope” double
m_s.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: 0.2
The “mslope-fit”
property
“mslope-fit” gboolean
m_s:fit.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: TRUE
The “xp”
property
“xp” double
x_p.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: 1.97
The “xp-fit”
property
“xp-fit” gboolean
x_p:fit.
Owner: NcReducedShearCalibWtg
Flags: Read / Write
Default value: TRUE


Lake Hub Academy – August 2019 –January 2020 • Learned frontend basics: HTML5, CSS3, JavaScript • Learned frontend framework, React JS, Redux and backend deployment frameworks Nodes, Express and Mongo DB • Learned GitHub, data structures and algorithms • Created 1 passion project using the basic frontend and Backend frameworks Additional skills • Counselling psychology • Health care management: Youth Reproductive Health, HIV/AIDS • Participatory integrated community Development Awards/Activities • German Technical Cooperation(GTZ) Kenya, youth innovative award of the year • Formulation of youth policy and strategic HIV/AIDS strategic plan (2000-2005). • Ministry of Youth Affairs Kenyan delegate on Youth Empowerment Summit


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When I visit software organisations to help them make their code more maintainable, I often see code like this:
public ILog Log { get; } public ActionResult Post(ReservationDto dto) { Log.Debug($"Entering {nameof(Post)} method..."); if (!DateTime.TryParse(dto.Date, out var _)) { Log.Warning("Invalid reservation date."); return BadRequest($"Invalid date: {dto.Date}."); } Log.Debug("Mapping DTO to Domain Model."); Reservation reservation = Mapper.Map(dto); if (reservation.Date < DateTime.Now) { Log.Warning("Invalid reservation date."); return BadRequest($"Invalid date: {reservation.Date}."); } Log.Debug("Reading existing reservations from database."); var reservations = Repository.ReadReservations(reservation.Date); bool accepted = maîtreD.CanAccept(reservations, reservation); if (!accepted) { Log.Warning("Not enough capacity"); return StatusCode( StatusCodes.Status500InternalServerError, "Couldn't accept."); } Log.Info("Adding reservation to database."); Repository.Create(reservation); Log.Debug($"Leaving {nameof(Post)} method..."); return Ok(); }
Logging like this annoys me. It adds avoidable noise to the code, making it harder to read, and thus, more difficult to maintain.
The above code ought to look like this:
public ActionResult Post(ReservationDto dto) { if (!DateTime.TryParse(dto.Date, out var _)) return BadRequest($"Invalid date: {dto.Date}."); Reservation reservation = Mapper.Map(dto); if (reservation.Date < Clock.GetCurrentDateTime()) return BadRequest($"Invalid date: {reservation.Date}."); var reservations = Repository.ReadReservations(reservation.Date); bool accepted = maîtreD.CanAccept(reservations, reservation); if (!accepted) { return StatusCode( StatusCodes.Status500InternalServerError, "Couldn't accept."); } Repository.Create(reservation); return Ok(); }
This is more readable. The logging statements are gone from the code, thereby amplifying the essential behaviour of the Post
method. The noise is gone.
Wait a minute! you might say, You can't just remove logging! Logging is important.
Yes, I agree, and I didn't. This code still logs. It logs just what you need to log. No more, no less.
Before we talk about the technical details, I think it's important to establish some vocabulary and context. In this article, I use the term logging broadly to describe any sort of action of recording what happened while software executed. There's more than one reason an application might have to do that:
Particularly when it comes to instrumentation, I often see examples of 'overlogging'. When logging is done to support future troubleshooting, you can't predict what you're going to need, so it's better to log too much data than too little.
It'd be even better to log only what you need. Not too little, not too much, but just the right amount of logging. Obviously, we should call this Goldilogs.
How do you know what to log? How do you know that you've logged everything that you'll need, when you don't know your future needs?
The key is repeatability. Just like you should be able to reproduce builds and repeat deployments, you should also be able to reproduce execution.
If you can replay what happened when a problem manifested itself, you can troubleshoot it. You need to log just enough data to enable you to repeat execution. How do you identify that data?
Consider a line of code like this:
int z = x + y;
Would you log that?
It might make sense to log what x
and y
are, particularly if these values are run-time values (e.g. entered by a user, the result of a web service call, etc.):
Log.Debug($"Adding {x} and {y}."); int z = x + y;
Would you ever log the result, though?
Log.Debug($"Adding {x} and {y}."); int z = x + y; Log.Debug($"Result of addition: {z}");
There's no reason to log the result of the calculation. Addition is a pure function; it's deterministic. If you know the inputs, you can always repeat the calculation to get the output. Two plus two is always four.
The more your code is composed from pure functions, the less you need to log.
In principle, all code bases interleave pure functions with impure actions. In most procedural or object-oriented code, no attempt is made of separating the two:
I've here illustrated impure actions with red and pure functions with green. Imagine that this is a conceptual block of code, with execution flowing from top to bottom. When you write normal procedural or object-oriented code, most of the code will have some sort of local side effect in the form of a state change, a more system-wide side effect, or be non-deterministic. Occasionally, arithmetic calculation or similar will form small pure islands.
While you don't need to log the output of those pure functions, it hardly makes a difference, since most of the code is impure. It would be a busy log, in any case.
Once you shift towards functional-first programming, your code may begin to look like this instead:
You may still have some code that occasionally executes impure actions, but largely, most of the code is pure. If you know the inputs to all the pure code, you can reproduce that part of the code. This means that you only need to log the non-deterministic parts: the impure actions. Particularly, you need to log the outputs from the impure actions, because these impure output values become the inputs to the next pure block of code.
This style of architecture is what you'll often get with a well-designed F# code base, but you can also replicate it in C# or another object-oriented programming language. I'd also draw a diagram like this to illustrate how Haskell code works if you model interactions with free monads.
This is the most generally applicable example, so articles in this short series show a Haskell code base with free monads, as well as a C# code base.
In reality, you can often get away with an impureim sandwich:
This architecture makes things simpler, including logging. You only need to log the inital and the concluding impure actions. The rest, you can always recompute.
I could have implemented the comprehensive example code shown in the next articles as impureim sandwiches, but I chose to use free monads in the Haskell example, and Dependency Injection in the C# example. I did this in order to offer examples from which you can extrapolate a more complex architecture for your production code.
I've produced two equivalent example code bases to show how to log just enough data. The first is in Haskell because it's the best way to be sure that pure and impure code is properly separated.
Both example applications have the same externally visible behaviour. They showcase a focused vertical slice of a restaurant reservation system. The only feature they support is the creation of a reservation.
Clients make reservations by making an HTTP POST request to the reservation system:
POST /reservations HTTP/1.1 Content-Type: application/json { "id": "84cef648-1e5f-467a-9d13-1b81db7f6df3", "date": "2021-12-21 19:00:00", "email"<EMAIL_ADDRESS>"name": "Mark Seemann", "quantity": 4 }
This is an attempt to make a reservation for four people at December 21, 2021 at seven in the evening. Both code bases support this HTTP API.
If the web service accepts the reservation, it'll write the reservation as a record in a SQL Server database. The table is defined as:
CREATE TABLE [dbo].[Reservations] ( [Id] INT NOT NULL IDENTITY, [Guid] UNIQUEIDENTIFIER NOT NULL UNIQUE, [Date] DATETIME2 NOT NULL, [Name] NVARCHAR (50) NOT NULL, [Email] NVARCHAR (50) NOT NULL, [Quantity] INT NOT NULL PRIMARY KEY CLUSTERED ([Id] ASC)
Both implementations of the service can run on the same database.
The examples follow in separate articles:
Readers not comfortable with Haskell are welcome to skip directly to the C# article.In this article series, I focus on run-time data. The point is that there's a formal method to identify what to log: Log the inputs to and outputs from impure actions.
I don't focus on metadata, but apart from run-time data, each log entry should be accompanied by metadata. As a minimum, each entry should come with information about the time it was observed, but here's a list of metadata to consider:
You only need to log what happens in impure actions. In a normal imperative or object-oriented code base, this is almost a useless selection criterion, because most of what happens is impure. Thus, you need to log almost everything.
There's many benefits to be had from moving towards a functional architecture. One of them is that it simplifies logging. Even a functional-first approach, as is often seen in idiomatic F# code bases, can simplify your logging efforts. The good news is that you can adopt a similar architecture in object-oriented code. You don't even have to compromise the design.
I've worked on big C# code bases where we logged all the impure actions. It was typically less than a dozen impure actions per HTTP request. When there was a problem in production, I could usually reproduce what caused it based on the logs.
You don't have to overlog to be able to troubleshoot your production code. Log the data that matters, and only that. Log the impure inputs and outputs.
Comments
I like the simplicity of "log the impure inputs and outputs", and logging to ensure repeatability. But consider a common workflow: Load a (DDD) aggregate from DB, call pure domain logic it, and store the result.
The aggregate may be very complex, e.g. an order with not just many properties itself, but also many sub-entities (line items, etc.) and value objects. In order to get repeatability, you need to log the entire aggregate that was loaded. This is hard/verbose (don't get too tempted by F#'s nice stringification of records and unions – you'll want to avoid logging sensitive information), and you'll still end up with huge multi-line dumps in your log (say, 10 lines for the order and 10 lines per line item = 100 lines for an order with 9 line items, for a single operation / log statement).
Intuitively to me, that seems like a silly amount of logging, but I can't see any alternative if you want to get full repeatability in order to debug problems. Thoughts?
If your application caches sensitive information, then it would be reasonble to only cache an encrypted version. That way, logging the information is not a security issue and neither is holding that infomration in memory (where malware could read it via memory-scraping).
Not all logging is meant to be directly consumed by humans. Structued logging is makes it easy for computers to consume logging events. For an event sourcing architecture (such as the Elm architecture), one can record all events and then create tooling to allow playback. I hope Elmish.WPF gets something like this if/when some of the Fable debugging tools are ported to F#.
Christer, thank you for writing. There's two different concerns, as far as I can see. I'd like to start with the size issue.
The size of software data is unintuitive to the human brain. A data structure that looks overwhelmingly vast to us is nothing but a few hundred kilobytes in raw data. I often have that discussion regarding API design, but the same arguments could apply to logging. How much would 100 lines of structured JSON entail?
Let's assume some that JSON properties are numbers (prices, quantities, IDs, etcetera.) while others could be unbounded strings. Let's assume that the numbers all take up four bytes, while Unicode strings are each 100 bytes on average. The average byte size of a 'line' could be around 50 bytes, depending on the proportion of numbers to strings. 100 lines, then, would be 5,000 bytes, or around 5 kB.
Even if data structures were a few orders of magnitude larger, that in itself wouldn't keep me up at night.
Of course, that's not the whole story. The volume of data is also important. If you log hundred such entries every second, it obviously adds up. It could be prohibitive.
That scenario doesn't fit my experience, but for the sake of argument, let's assume that that's the case. What's the alternative to logging the impure operations?
You can decide to log less, but that has to be an explicit architectural decision, because if you do that, there's going to be behaviour that you can't reproduce. Logging all impure operations is the minimum amount of logging that'll guarantee that you can fully reproduce all behaviour. You may decide that there's behaviour that you don't need to be able to reconstruct, but I think that this ought to be an explicit decision.
There may be a better alternative. It also addresses the issue regarding sensitive data.
Write pure functions that take as little input as possible, and produce as little output as possible. In the realm of security design there's the concept of datensparsamkeit (data frugality). Only deal with the data you really need.
Does that pure function really need to take as input an entire aggregate, or would a smaller projection do? If the latter, implement the impure operation so that it returns the projection. That's a smaller data set, so less to log.
The same goes for sensitive input. Perhaps instead of a CPR number the function only needs an age value. If so, then you only need to log the age.
These are deliberate design decision you must take. You don't get such solutions for free, but you can if you will.
Thank you for the reply. It makes sense that this should be a deliberate design decision.
I'm working full-time with F# myself, and would be very interested in seeing how you think this could be solved in F#. In this series, you are demonstrating solutions for Haskell (free monads) and C# (dependency injection), but as you have alluded to previously on your blog, neither of those are idiomatic solutions in F# (free monads are cumbersome without higher-kinded types, and DI primarily fits an object-oriented architecture).
I realize you may not choose to write another blog post in this series tackling F# (though it would nicely "fill the gap" between Haskell and C#, and you're definitely the one to write it!), but even a few keywords/pointers would be helpful.
Christer, thank you for writing. I am, indeed, not planning to add another article to this small series. Not that writing the article itself would be too much trouble, but in order to stay on par with the two other articles, I'd have to develop the corresponding F# code base. That currently doesn't look like it'd be the best use of my time.
In F# you can use partial application for dependency injection. I hope that nothing I wrote gave the impression that this isn't idiomatic F#. What I've demonstrated is that it isn't functional, but since F# is a multiparadigmatic language, that's still fine.
The C# example in this article series shows what's essentially an impureim sandwich, so it shouldn't be too hard to translate that architecture to F#. It's already quite functional.


App Features
Donut sesame snaps donut pie dessert chupa chups wafer dragée. Gummies fruitcake chupa chups cookie liquorice. Chocolate pudding dessert jelly fruitcake tart jelly wafer. Sweet roll carrot cake croissant.
Scalable
Croissant ice cream macaroon cake. Dessert jelly beans candy cookie. Bear claw candy canes gingerbread caramels cake. Macaroon applicake gummi bears jelly marzipan.
Instant
Croissant ice cream macaroon cake. Dessert jelly beans candy cookie. Bear claw candy canes gingerbread caramels cake. Macaroon applicake gummi bears jelly marzipan.
Something
Croissant ice cream macaroon cake. Dessert jelly beans candy cookie. Bear claw candy canes gingerbread caramels cake. Macaroon applicake gummi bears jelly marzipan.
Hocolate pudding dessert jelly fruit cake tart jelly wafer.
Donut cupcake lemon drops dragée liquorice apple pie powder. Topping sweet lollipop soufflé chocolate liquorice candy canes.


Hsiao-Tzu Hung (Anna Hung) 洪筱慈
She is currently a master student at NTU, Taiwan. Her main research interest is deep learning on multimedia, espically on audios and images.
Download my CV
Education
2020 - present
Department of CSIE, National Taiwan University, Taiwan
2010 - 2014
Department of Physics, National Tsing Hua University, Taiwan
Work Experience
2019 - 2020
Full-time Machine Learning Research Internship
Taiwan AI LAbs, Taiwan
2018 - 2019
Research Assistant
Institute of Information Science, Academia Sinica, Taiwan
2017 - 2018
Physics teacher
National Lan-Yang Girls’ Senior High School
2015 - 2016
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National Chu-Pei Senior High School
2014 - 2015
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National Chu-Pei Senior High School
Research
Jazz Melody Automatic Generation
[Paper]
[Demo]
Side Projects
Jazz Melody Automatic Generation
[Paper]
[Demo]


--- layout: post title: 'Peter Bell: DSM+DDD' date: 2009-03-26 01:55:32.000000000 -06:00 type: post published: true status: publish categories: - Frameworks - News tags: [] meta: _gcid: '1' _gcuser: Vladimir Gitlevich content_type: flashnode Summary: '2' _bitly_trim: http://dddcommunity.org/?p=4 author: login: Vladimir Gitlevich email<EMAIL_ADDRESS>display_name: Vladimir Gitlevich first_name: Vladimir Gitlevich last_name: '' ---
After a recent presentation at the Domain-Driven Design SIG in New York, we interviewed Peter Bell about Domain specific Modeling as it relates to DDD. We spoke about what DSM is, common misconceptions about it, and how DSM and Domain Specific Languages can be used in DDD.
Peter writes and presents internationally on Domain Specific Modeling and Code Generation. He is also on the program committee for the Domain Specific Modeling Workshop at ooPSLA and the annual Code Generation conference in Cambridge, England. He is CTO of SystemsForge where he has developed a software product line for efficiently generating maintainable, extensible custom web applications.
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video="http://dddcommunity.org/wp-content/uploads/files/flash/interviews/Peter Bell on DSM.flv"
width="490"
height="300"
description=""
clickurl=""
clicktarget="_blank"
player="4"
autoplay="false"
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422
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6. Frequently Asked Questions¶
6.1. General¶
6.1.1. What is the Erlang setup for developer?¶
- Erlang/OTP - http://erlang.org
- Concurrent Programming in erlang - http://erlang.org/download/erlang-book-part1.pdf
- After some learning of erlang read - http://www.erlang-in-anger.com/
6.1.2. How do I build this project on Ubuntu?¶
The following packages must be installed otherwise the NIF (c code) for eleveldb will fail to build. Note that libssl-dev is required by snappy (a requirement of eleveldb).
sudo apt-get install build-essential sudo apt-get install libssl-dev
Clean the project as follows:
./rebar3 clean beampacket
The following command will clean the complete project.
./rebar3 clean -a
Make a release build in the local system.
./rebar3 release
Run a production build in the local system.
./rebar3 as prod tar
6.1.3. How do I run app in shell mode?¶
./rebar3 shell –apps beampacket
6.1.4. How do I run shell with all the code but not start app?¶
erl -pa _build/default/lib//ebin/
6.1.5. How do I test and create code coverage?¶
TODO
6.1.6. How do I run EUnit tests?¶
TODO
6.1.7. How do I generate code documentation?¶
The code documentation is generated via edoc<http://erlang.org/doc/apps/edoc/chapter.html> as follows:
./rebar3 edoc
The output is generated in doc/ subfolder.


WITNESS LIST Business & Industry Committee (Subcommittee on Truth-in-Hiring Legislation) July 27, 1998-10:00A Truth-in-Legislation On: McDaniel, Kenneth (TDI) Obdyke, Louis (Small, Craig & Werkenth) Presley, Philip (TDI)


A simple movie recommendation using react !
View Live View SourceA simple animal emoji interpreter where the user can select or paste the emoji to know the actual name of the animal !
View Live View SourceA simple yoda-translator where the entered text will be translated to yoda version of text !
View Live View SourceA simple minion translator where the entered text will be converted to minion language !
View Live View SourceA simple harry potter quiz game using nodejs command line interface using chalk and readline sync !
View Live View SourceA simple about me quiz using nodejs command line interface !
View Live View SourceA simple responsive beat music maker using html, css, js !
View Live View SourceA simple tic-tac-toe react based application with the ability to move backwards and play !
View Live View SourceA simple random quote machine application where you can get some random quotes for motivation and fun using external api !
View Live View SourceA simple calculator using react where you can perform some basic mathematical operations !
View Live View SourceA simple react break timer web application which let's you set breaks and session in minutes, start, pause, reset the time and noties you when the time ends - through the alarm !
View Live View Source


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PolyMul
After I first finished implementing this, it felt magical that the manipulation of imaginary numbers gave the correct results.
One caveat of my program is the floating point error it generates. I have tried to minimize it as much as possible, but it grows in proportion to the number of terms multiplied.
Results
Lets start with something small:
x + 1 x + 2
Result:
2 + 3x + x^2
So, floating point doesn't occur so far. Lets try something a little larger:
x^4 - x^2 + x + 1 -x^3 + 2x^2 + x + 2 -2x^2 + 4x - 1
Result:
-2 + 5x + 7x^2 - 2x^3 - 1x^4 - 6x^5 + 8x^6 + 5x^7 - 8x^8 + 2x^9
A quick check on WolframAlpha verifies this answer. Still no floating point error. Lets try something big this time:
x^7 - 5x^2 + x^4 - x^2 + x + 1 x^8 - 3x^6 + 5x^4 -x^3 + 2x^2 + x + 2 x^10 - 5x^5 + 4x^4 - 5x^3 - 2x^2 + 4x - 1 x^5 - 3x^2 + 2x + 5 x^8 - 3x^5 + 2x^2 - 4
Result:
40 - 83.9997x - 424x^2 + 906x^3 + 842x^4 - 1354x^5 - 1907x^6 + 1657x^7 + 3696x^8 - 7761x^9 - 876.999x^10 + 8269x^11 - 3817x^12 - 746x^13 - 362.999x^14 - 714x^15 + 1369x^16 + 248x^17 - 148x^18 - 273.999x^19 + 1071x^20 - 504x^21 - 131x^22 - 406x^23 + 155x^24 - 22x^25 + 306x^26 - 43x^27 - 79x^28 - 56.9986x^29 + 32x^30 - 14x^31 + 6x^32 + 8x^33 + 7x^34 - 5x^35 - 3x^36 + 1x^38
Again, a (longer) check on WolframAlpha verifies this result. As you may notice there is tiny floating point error that is accumulating, but is quite small right now.


PLC stands for Programable logic controllers. A simple way to understand it would be to think of PLC as a small computer that performs a list of instructions. The list of instructions contains logic that helps determine which course of action to take on a given set of circumstances. PLC is used in alot of areas inside and outside the industrial work. Usually where automation of tasks is the goal. The PLC editor itself helps user create programs without the need to know the syntax of the used programming lanugage for the PLC. All what the user needs to do is to determine the logic for the controller. The OpenPLC Reference page has a nice tutorial to follow along and learn about PLC
We want to develop a web version of the OpenPLC Editor to allow users to work on their programs remotely without requiring installation. You can find more information about the project by visiting the wiki and reading the CRS, SRS and SAS documents.
The Application runs is written in Angular 8 and runs solely as a front end application. There is no backedend envolved


Completion Date: June 2, 2018
Program Functionality
This program uses graphics to create a remake of Minesweeper.
Planning
Before I got to making the game, I had to play it. There were notes I took on certain features. Here are some of the notes:
Functions
bombGenerator()
Uses a random number generator to create the bombs. Returns the positions of the bombs.
findBombsNear()
Checks if the tile is a bomb. Also checks the tiles around in a 1 by 1 radius. Returns whether it is a bomb, and how many bombs are around it.
createGrid()
Creates eight vertical and eight horizontal lines on the window; a 9 by 9 grid.
returnSquares()
Uses the data from bombGenerator() to make each each tile a variable set to the class Square(). Returns a list of all the tiles.
__init__()
This class is automatically initialized when a varible is set to Square(). It sets up its instances so that there are not as many parameters later.
getRevealed()
Returns whether the tile is revealed or not.
bombsNear()
Returns 'B' if it is a bomb. If it is not a bomb, it returns the number of bombs around it.
getBomb()
Returns whether the tile is a bomb.
flag()
Flags the tile on the window.
getFlagged()
Returns whether the tile is flagger or not.
What I Learned
For this project, I didn't learn new content, but rather, extended my knowledge of it. The two things that I expanded my knowledge on were classes and graphics. I already knew them, but wasn't as familiar with them. Now, since I got more experience, I know how to use them better in my code.


{% extends '../layouts/html.html' %}
{% block contents %}
{{title|safe}}
{% include "../../src/components/molecules/lede/lede.html" with lede only%}
{{contents|safe}}
{% include "../../src/components/molecules/cta/cta.html" with cta only %}
{% endblock %}


const ( DefDialTimeout = time.Second * 3 DefConnTimeout = time.Second * 2 DefRecvBuffSize = 20 DefSendBuffSize = 20 )
func GenerateCertificatesOrPanic() tls.Certificate
GenerateCertificatesOrPanic generates a a random pair of public and private keys and return TLS certificate
AggregatedSendResult represents a slice of SendResults
type AggregatedSendResult []SendResult
func (ar AggregatedSendResult) AckCount() int
AckCount returns the number of successful acknowledgements
func (ar AggregatedSendResult) NackCount() int
NackCount returns the number of unsuccessful acknowledgements
func (ar AggregatedSendResult) String() string
String returns a JSONed string representation of the AggregatedSendResult
ChannelDeMultiplexer is a struct that can receive channel registrations (AddChannel) and publications (DeMultiplex) and it broadcasts the publications to registrations according to their predicate
type ChannelDeMultiplexer struct {
// contains filtered or unexported fields
}
func NewChannelDemultiplexer() *ChannelDeMultiplexer
NewChannelDemultiplexer creates a new ChannelDeMultiplexer
func (m *ChannelDeMultiplexer) AddChannel(predicate common.MessageAcceptor) chan interface{}
AddChannel registers a channel with a certain predicate
func (m *ChannelDeMultiplexer) Close()
Close closes this channel, which makes all channels registered before to close as well.
func (m *ChannelDeMultiplexer) DeMultiplex(msg interface{})
DeMultiplex broadcasts the message to all channels that were returned by AddChannel calls and that hold the respected predicates.
Comm is an object that enables to communicate with other peers that also embed a CommModule.
type Comm interface { // GetPKIid returns this instance's PKI id GetPKIid() common.PKIidType // Send sends a message to remote peers Send(msg *proto.SignedGossipMessage, peers ...*RemotePeer) // SendWithAck sends a message to remote peers, waiting for acknowledgement from minAck of them, or until a certain timeout expires SendWithAck(msg *proto.SignedGossipMessage, timeout time.Duration, minAck int, peers ...*RemotePeer) AggregatedSendResult // Probe probes a remote node and returns nil if its responsive, // and an error if it's not. Probe(peer *RemotePeer) error // Handshake authenticates a remote peer and returns // (its identity, nil) on success and (nil, error) Handshake(peer *RemotePeer) (api.PeerIdentityType, error) // Accept returns a dedicated read-only channel for messages sent by other nodes that match a certain predicate. // Each message from the channel can be used to send a reply back to the sender Accept(common.MessageAcceptor) <-chan proto.ReceivedMessage // PresumedDead returns a read-only channel for node endpoints that are suspected to be offline PresumedDead() <-chan common.PKIidType // IdentitySwitch returns a read-only channel about identity change events IdentitySwitch() <-chan common.PKIidType // CloseConn closes a connection to a certain endpoint CloseConn(peer *RemotePeer) // Stop stops the module Stop() }
func NewCommInstance(s *grpc.Server, certs *common.TLSCertificates, idStore identity.Mapper, peerIdentity api.PeerIdentityType, secureDialOpts api.PeerSecureDialOpts, sa api.SecurityAdvisor, commMetrics *metrics.CommMetrics, config CommConfig, dialOpts ...grpc.DialOption) (Comm, error)
NewCommInstance creates a new comm instance that binds itself to the given gRPC server
CommConfig is the configuration required to initialize a new comm
type CommConfig struct { DialTimeout time.Duration // Dial timeout ConnTimeout time.Duration // Connection timeout RecvBuffSize int // Buffer size of received messages SendBuffSize int // Buffer size of sending messages }
ConnConfig is the configuration required to initialize a new conn
type ConnConfig struct { RecvBuffSize int SendBuffSize int }
ReceivedMessageImpl is an implementation of ReceivedMessage
type ReceivedMessageImpl struct { *proto.SignedGossipMessage // contains filtered or unexported fields }
func (m *ReceivedMessageImpl) Ack(err error)
Ack returns to the sender an acknowledgement for the message
func (m *ReceivedMessageImpl) GetConnectionInfo() *proto.ConnectionInfo
GetConnectionInfo returns information about the remote peer that send the message
func (m *ReceivedMessageImpl) GetGossipMessage() *proto.SignedGossipMessage
GetGossipMessage returns the inner GossipMessage
func (m *ReceivedMessageImpl) GetSourceEnvelope() *proto.Envelope
GetSourceEnvelope Returns the Envelope the ReceivedMessage was constructed with
func (m *ReceivedMessageImpl) Respond(msg *proto.GossipMessage)
Respond sends a msg to the source that sent the ReceivedMessageImpl
RemotePeer defines a peer's endpoint and its PKIid
type RemotePeer struct { Endpoint string PKIID common.PKIidType }
func (p *RemotePeer) String() string
String converts a RemotePeer to a string
SecurityAdvisor defines an external auxiliary object that provides security and identity related capabilities
type SecurityAdvisor interface { // OrgByPeerIdentity returns the organization identity of the given PeerIdentityType OrgByPeerIdentity(api.PeerIdentityType) api.OrgIdentityType }
SendResult defines a result of a send to a remote peer
type SendResult struct { RemotePeer // contains filtered or unexported fields }
func (sr SendResult) Error() string
Error returns the error of the SendResult, or an empty string if an error hasn't occurred


{% extends "agda/tool-page.html" %} {% block title %}{{ tool.displayname }} Submit job{% endblock title %} {% block content %}
A tool for large scale biogeographical data analysis
The localities file should be in a format specified in this file. And the polygon data should look like this. A tutorial for generating this type of files can be found here. {% include "agda/forms/table_form.html" with form_id="scan_form" form_heading="Submit new job" submit_button_text="Submit job" %} {% endblock content %}


Create new Bike
Name:
Bike name error
Date:
Bike date error
Quantity:
Bike quantity error
Available:
Bike available error
Type :
--type of bike--
Type of bike error


Yajun Qiu is a senior Learning experience(LX) Designer, Instructional Designer and Front-End Web Developer. He is a creative thinker with rich hands-on experience in blended learning solution. His solid knowledge about learning theories, UX/UI design and Usability enable him to come up with constructive designs that are useful, usable and user-oriented.
Yajun Qiu is versatile and productive. He is skilled at Instructional Design, UX/UI Design, Web App Development, 3D Animation and Video Shooting and Editing.
Highlights:


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Binary Animal's morphing demo
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Hello, morph!
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WATCH: Caster Semenya shares her life story in new Nike ad
by Algoa FMWorld renowned athlete, Olympic Gold medalist and South Africa's golden girl, Caster Semenya shares her life story and the challenges she faced as a young and budding athlete, growing up in the dusty streets of Polokwane, in a village deep in the Limpopo province, to being one of the greatest athletes the world has ever seen.
In this new Nike advert, Semenya mentions the first time she moved from the village to the city, and how she was not intimidated at all.
She says "You may have all those resources, but what I have is the power in me to defeat," proving once again that the adversities we face in our personal lives have the ability to push and propel us to greater heights.


Gurrenmare
Demo Video
Project Info
| Project Duration | 2 Weeks |
| Genre | Multiplayer Cooperation Game |
| Team Size | 2 Programmers, 2 Artists, 1 Sound Designer |
| Team Members | Bokang Wang, Yincheng Qiu, Jenifer Liao, Jingyuan Kang, Zongze Xie |
| Platform | Jam-o-Drum |
| Tools | Unity |
| My Contributions | Programming, Game Design, Playtesting |
Introduction
This is the
Round 5 project. In this game, there are two teams. And each player will control one of the giant robot's hands. They need to wait to aim and use their hand to grab the planets. The goal is to get the most points.Design
We got the inspiration from an old game called Gold Miner. And we modified it from one-player game to a multiplayer game. In order to increase the strategy and antagonistic of the game, we designed a mechanism in which you can steal the opponent's planets. In order to increase the cooperation, we also designed a joint planet which requires two players to grab together. As for the level design, our game starts from a tutorial to the basic level to the final level. We also designed a final "drum as fast as you can" to make the interest curve better.
My Contributions
- As a programmer, I was responsible for the scripting of launching the hand, grabbing the planets, stealing the planets.
- As a designer, I designed the fundamental gameplay and steal mechanism.


Sales Attendant Docked For Stealing Company's Property In Ondo
Warri was arraigned before the court after she was accused of stealing the property of Golden Tripod International LTD where she worked.
by SaharaReporters, New York
A sales attendant, Ekuyik-Ebitu Warri, has been docked at a Magistrate Court sitting in Akure, Ondo State, for allegedly stealing goods worth N1m.
Warri was arraigned before the court after she was accused of stealing the property of Golden Tripod International LTD where she worked.
The 22-year-old lady was dragged before Chief Magistrate Charity Adeyanju on one count charge of stealing.
She committed the offence on October 22, 2019 at about 10:00am at New Station Road Akure, according to the police.
Prosecutor of the case, Mr Uloh Goodluck, told the court that there were four witnesses ready to testify in the case.
He, however, pleaded with the Magistrate Adeyanju to give him time to assemble all of them and asked for an adjournment.
Although, the defendant pleaded not guilty to the offence.
In her judgement, Mrs Adeyanju granted the defendant a bail in sum of N1.5m and one surety in like sum.
She asked that the surety must be a resident in the jurisdiction and provide the evidence of tax payment for this current year.
She later adjourned the case to January 15, 2020 for hearing.


Client/server architecture
Window(ing) clients are GUI events generated usually by users which must be processed by the window(ing) system that acts as the server; it is responsible for making timely updates to the display as to be apparent to the user.
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I’m Flaviu (flah-vee-yoo), CEO of iMedicare. I'm a Romanian entrepreneur, developer, and angel investor. Email me if you have an interesting project you're working on.