Notebooks
Story: The ||kerri: a bird which eats locusts; and locust-hunting
The ||kerri: a bird which eats locusts; and locust-hunting
Title
The ||kerri: a bird which eats locusts; and locust-hunting
Collection
Summary
The ||kerri bird eats locusts and is thus called the locust-bird. They drive the locusts into the bushes, where the people collect them and roast them in a fire. The people thirst after collecting locusts and need water. The rain then breaks and the people go and hunt for springbok.
Comments
1) p.6858 opp: |xam names for a poison, the ||kerri bird and a spider, 2) p.6858v: the wind that blows from the east and the west, 3) p.6859v: a |xam name for a young ostrich, 4) p.6863v: the !kwa bush, 5) pp.6869v-6870v: a 'food's thing', 6) p.6873v: a note stating that the opposite page (p.6874) was read to various dignitaries on 2 August 1880, 7) p.6877v: what the people say when springbok pass through the rain, 8) This story is found in Book VIII-10
Contributors
|han≠kass'o (Klein Jantje) (VIII)
Date
17 May 1878 (started)
Categories
The Rain and Rain's water, Custom and daily life, Plants and animals
Keywords
bird (the ||kerri, which eats locusts; and locust-hunting) , bird (the locust bird) , ||kerri (or locust bird which eats locusts; and locust-hunting) , ||kerri (its diet) , ||kerri (its actions and habits of) , ||kerri (drives locusts) , ||kerri (what the people say to) , locust (the ||kerri: a bird which eats locusts; and locust-hunting) , locust (and times of day) , locust (settles in bushes) , locust ('locust-thirst') , locust (what it tastes like) , locust (the collecting of) , locust (the eating of) , locust (ways of cooking and eating) , locust (people eat) , hunting (springbok after it rains) , hunting (the ||kerri: a bird which eats locusts; and locust-hunting) , bush (the name of) , bush (settled on by locusts) , bush (the ||kerri: a bird which eats locusts; and locust-hunting) , name (of the bush settled on by locusts) , name (the locust bird is called ||kerri) , locust bird (the ||kerri: a bird which eats locusts; and locust-hunting) , food (driving, collecting, hunting and eating locusts) , food (the ||kerri: a bird which eats locusts; and locust-hunting) , address (what the people say to the ||kerri or locust bird) , address (the ||kerri: a bird which eats locusts; and locust-hunting)
Story Pages
6858-6878


libreoffice(1) User Commands libreoffice(1) Name libreoffice - LibreOffice office suite SYNOPSIS libreoffice [--accept=accept-string] [--base] [--calc] [--convert-to out‐ put_file_extension[:output_filter_name] [--outdir output_dir] file]... [--display display] [--draw] [--global] [--headless] [--help|-h|-?] [--impress] [--invisible] [--infilter="<filter>"] [--math] [--minimized] [-n file]... [--nodefault] [--nolockcheck] [--nologo] [--norestore] [-o file]... [-p file...] [--print-to-file [--printer-name printer_name] [--outdir output_dir] file]... [--pt printername file...] [--show Impress file]... [--unaccept=accept-string] [--terminate_after_init] [--view file]... [--web] [--writer] [file...] lobase localc lodraw lofromtemplate loimpress lomath loweb lowriter DESCRIPTION LibreOffice (LO for short) is a multi-platform office productivity suite. It was derived from OpenOffice.org 3.3 Beta on September 28, 2010. libreoffice is a shell script that sets up the environment and passes the command line arguments to the soffice.bin binary. Alternatively, the following helper scripts start the respective module: sbase, scalc, sdraw, simpress, smath, sofficerc, spadmin, swriter OPTIONS --accept=accept-string Specify a UNO connect-string to create a UNO acceptor through which other programs can connect to access the API. --base Starts the wizard for a new Base document. --calc Starts with a new Calc document. --convert-to output_file_extension[:output_filter_name] [--outdir out‐ put_dir] file... Batch converts files. If --outdir is not specified then the cur‐ rent working directory is used as the output directory for the converted files. Examples: --convert-to pdf *.doc Converts all .doc files to PDFs. --convert-to pdf:writer_pdf_Export --outdir /home/user *.doc Converts all .doc files to PDFs using the settings in the Writer PDF export dialog and saving them in /home/user. --display display This option specifies the X server to use; see X(7) --draw Starts with a new Draw document. --global Starts with a new Global document. --headless Starts in "headless mode", which allows using the application without user a interface. This special mode can be used when the application is controlled by external clients via the API. It implies --invisible and strictly ignores any GUI environment. --quickstart does not work with this parameter. --help|-h|-? Lists LibreOffice command line parameters. --impress Starts with a new Impress document. --invisible Starts in invisible mode. Neither the start-up logo nor the initial program window will be visible. LO can be controlled and documents and dialogs can be opened via the API. When started with this parameter, it can only be quit using the taskmanager (Windows) or the kill command (UNIX based systems). --quickstart does not work with this parameter. --infilter="<filter>" Force an input filter type if possible. For example -infil‐ ter="Calc Office Open XML" only --math Starts with a new Math document. --minimized Keeps the splash screen minimized. -n template... Creates the a new document from the given templates. --nodefault Starts LO without creating a new document. The next time you start LO, the welcome screen is shown. It's used together with --nologo by quick starters. Note that --quickstart has no longer been supported since OpenOffice.org 2.0.0. --nolockcheck Disables the check for remote instances using the installation. --nologo Disables the splash screen at program start. --norestore Disables restart and file recovery after a system crash. It is possible that LO will try to restore a file it keeps crashing on, if that happens --norestore is the only way to start LO. --nosplash Disables the splash screen at program start. -o file... Opens the given files for editing, even templates. Without -o a template file would create a new document derived from that template. -p file... Prints the given files to the default printer and ends. The splash screen does not appear. If the file name contains spaces, then it must be enclosed in quo‐ tation marks. --print-to-file [--printer-name printer_name] [--outdir output_dir] file... Batch print files to file. If --printer-name is not specified the default printer is used. If --outdir is not specified then the current working directory is used as the output directory for the converted files. Examples: --print-to-file *.doc Prints all .doc files to the current working directory using the default printer. --print-to-file --printer-name nasty_lowres_printer --outdir /home/user *.doc Prints all .doc files to /home/user directory using the nasty_lowres_printer. --pt printername file... Prints the given files to the printer printername and ends. The splash screen does not appear. If a file name contains spaces, then it must be enclosed in quota‐ tion marks. --quickstart --quickstart=no Starts LO with it's quick starter. --quickstart disable the quick starter. Does not work with --invisible or --headless. --show Impress file... Opens the given Impress files, starts the presentation and quits after they have finished. --unaccept=accept-string Closes an acceptor that was created with --accept option. Use --unaccept=all to close all open acceptors. --terminate_after_init Starts LO and terminates after it registers some UNO services. Doesn't show the splash during startup. --view file... Opens the given files read-only creating a temporary copy of them at $TMPDIR. --web Starts with a new HTML document. --writer Starts with a new Writer document. TROUBLESHOOTING PROBLEMS See http://wiki.documentfoundation.org/BugReport for more details on how to report bugs in LibreOffice. SEE ALSO http://www.documentfoundation.org/ AUTHOR This manual page was created by Rene Engelhard<EMAIL_ADDRESS>for the Debian GNU/Linux Distribution, because the original package does not have one. It was updated for Novell by Petr Mladek<EMAIL_ADDRESS>and adapted for LibreOffice by Philipp Weissenbacher <philipp.weis‐<EMAIL_ADDRESS>LibreOffice 2010-12-18 libreoffice(1)


Vector Class
The Vector class is defined with three components, x, y, and z, along with several methods and operators that implement basic vector operations. The class has two constructors, one of which initializes the vector components to zero and the other of which initializes the vector components to those passed to the constructor.


Andika - Documentation
Thank you for your interest in the Andika fonts. This font family supports the broad variety of writing systems that use Latin and Cyrillic scripts. The design is optimized for high readability at a wide range of sizes and resolutions, making it ideal for new readers moving on from simple sans serif forms.
This documentation is a set of HTML pages that can be viewed in any modern web browser. PDF versions of these pages are also provided. This content, plus download links and a contact form, are available from the Andika site.
- About — Information about this project and SIL International
- Resources — Help with installation and use
- FAQ — Common questions and answers
- Design — History and background of the design
- Character set support — Details of Unicode characters that are supported
- Font features — Using smart font features
- Support — How to get additional support
- Developer information — How to modify and build the fonts
- Versions - Sources for alternate versions
- Version history - Complete version history
Additional information is also provided in other project files: README.txt, OFL.txt, OFL-FAQ.txt, and FONTLOG.txt.


10.3. Sample Hash Functions (WORK IN PROGRESS)¶
10.3.1. Sample Hash Functions¶
<IP_ADDRESS>. Simple Mod Function¶
Consider the following hash function used to hash integers to a table of sixteen slots.
Here “%” is the symbol for the mod function.
Recall that the values 0 to 15 can be represented with four bits (i.e., 0000 to 1111). The value returned by this hash function depends solely on the least significant four bits of the key. Because these bits are likely to be poorly distributed (as an example, a high percentage of the keys might be even numbers, which means that the low order bit is zero), the result will also be poorly distributed. This example shows that the size of the table \(M\) can have a big effect on the performance of a hash system because the table size is typically used as the modulus to ensure that the hash function produces a number in the range 0 to \(M-1\).
<IP_ADDRESS>. Binning¶
Say we are given keys in the range 0 to 999, and have a hash table of size 10. In this case, a possible hash function might simply divide the key value by 100. Thus, all keys in the range 0 to 99 would hash to slot 0, keys 100 to 199 would hash to slot 1, and so on. In other words, this hash function “bins” the first 100 keys to the first slot, the next 100 keys to the second slot, and so on.
Binning in this way has the problem that it will cluster together keys if the distribution does not divide evenly on the high-order bits. In the above example, if more records have keys in the range 900-999 (first digit 9) than have keys in the range 100-199 (first digit 1), more records will hash to slot 9 than to slot 1. Likewise, if we pick too big a value for the key range and the actual key values are all relatively small, then most records will hash to slot 0. A similar, analogous problem arises if we were instead hashing strings based on the first letter in the string.
In general with binning we store the record with key value \(i\) at array position \(i/X\) for some value \(X\) (using integer division). A problem with Binning is that we have to know the key range so that we can figure out what value to use for \(X\). Let’s assume that the keys are all in the range 0 to 999. Then we want to divide key values by 100 so that the result is in the range 0 to 9. There is no particular limit on the key range that binning could handle, so long as we know the maximum possible value in advance so that we can figure out what to divide the key value by. Alternatively, we could also take the result of any binning computation and then mod by the table size to be safe. So if we have keys that are bigger than 999 when dividing by 100, we can still make sure that the result is in the range 0 to 9 with a mod by 10 step at the end.
Binning looks at the opposite part of the key value from the mod function. The mod function, for a power of two, looks at the low-order bits, while binning looks at the high-order bits. Or if you want to think in base 10 instead of base 2, modding by 10 or 100 looks at the low-order digits, while binning into an array of size 10 or 100 looks at the high-order digits.
As another example, consider hashing a collection of keys whose values follow a normal distribution, as illustrated by Figure 10.4.1. Keys near the mean of the normal distribution are far more likely to occur than keys near the tails of the distribution. For a given slot, think of where the keys come from within the distribution. Binning would be taking thick slices out of the distribution and assign those slices to hash table slots. If we use a hash table of size 8, we would divide the key range into 8 equal-width slices and assign each slice to a slot in the table. Since a normal distribution is more likely to generate keys from the middle slice, the middle slot of the table is most likely to be used. In contrast, if we use the mod function, then we are assigning to any given slot in the table a series of thin slices in steps of 8. In the normal distribution, some of these slices associated with any given slot are near the tails, and some are near the center. Thus, each table slot is equally likely (roughly) to get a key value.
<IP_ADDRESS>. The Mid-Square Method¶
A good hash function to use with integer key values is the mid-square method. The mid-square method squares the key value, and then takes out the middle \(r\) bits of the result, giving a value in the range 0 to \(2^{r}-1\). This works well because most or all bits of the key value contribute to the result. For example, consider records whose keys are 4-digit numbers in base 10, as shown in Figure 10.4.2. The goal is to hash these key values to a table of size 100 (i.e., a range of 0 to 99). This range is equivalent to two digits in base 10. That is, \(r = 2\). If the input is the number 4567, squaring yields an 8-digit number, 20857489. The middle two digits of this result are 57. All digits of the original key value (equivalently, all bits when the number is viewed in binary) contribute to the middle two digits of the squared value. Thus, the result is not dominated by the distribution of the bottom digit or the top digit of the original key value. Of course, if the key values all tend to be small numbers, then their squares will only affect the low-order digits of the hash value.
Here is a little calculator for you to see how this works. Start with ‘4567’ as an example.
10.3.2. A Simple Hash Function for Strings¶
Now we will examine some hash functions suitable for storing strings of characters. We start with a simple summation function.
int sascii(String x, int M) {
char ch[];
ch = x.toCharArray();
int xlength = x.length();
int i, sum;
for (sum=0, i=0; i < x.length(); i++) {
sum += ch[i];
}
return sum % M;
}
def sascii(x, M):
sum = sum(ord(c) for c in x)
return sum % M
This function sums the ASCII values of the letters in a string. If the hash table size \(M\) is small compared to the resulting summations, then this hash function should do a good job of distributing strings evenly among the hash table slots, because it gives equal weight to all characters in the string. This is an example of the folding method to designing a hash function. Note that the order of the characters in the string has no effect on the result. A similar method for integers would add the digits of the key value, assuming that there are enough digits to
keep any one or two digits with bad distribution from skewing the results of the process and
generate a sum much larger than \(M\).
As with many other hash functions, the final step is to apply the
modulus operator to the result, using table size \(M\) to generate
a value within the table range.
If the sum is not sufficiently large, then the modulus operator will
yield a poor distribution.
For example, because the ASCII value for ‘A’ is 65 and ‘Z’ is 90,
sum
will always be in the range 650 to 900 for a string of ten
upper case letters.
For a hash table of size 100 or less, a reasonable distribution
results.
For a hash table of size 1000, the distribution is terrible because
only slots 650 to 900 can possibly be the home slot for some key
value, and the values are not evenly distributed even within those
slots.
Now you can try it out with this calculator.
10.3.3. String Folding¶
Here is a much better hash function for strings.
// Use folding on a string, summed 4 bytes at a time
int sfold(String s, int M) {
long sum = 0, mul = 1;
for (int i = 0; i < s.length(); i++) {
mul = (i % 4 == 0) ? 1 : mul * 256;
sum += s.charAt(i) * mul;
}
return (int)(Math.abs(sum) % M);
}
# Use folding on a string, summed 4 bytes at a time
def sfold(s, M):
sum = 0
mul = 1
for i in range(s.length()):
mul = 1 if i % 4 == 0 else mul * 256
sum += ord(s[i]) * mul
return abs(sum) % M
This function takes a string as input. It processes the string four bytes at a time, and interprets each of the four-byte chunks as a single long integer value. The integer values for the four-byte chunks are added together. In the end, the resulting sum is converted to the range 0 to \(M-1\) using the modulus operator.
For example, if the string “aaaabbbb” is passed to sfold
,
then the first four bytes (“aaaa”) will be interpreted as the
integer value 1,633,771,873,
and the next four bytes (“bbbb”) will be
interpreted as the integer value 1,650,614,882.
Their sum is 3,284,386,755 (when treated as an unsigned integer).
If the table size is 101 then the modulus function will cause this key
to hash to slot 75 in the table.
Now you can try it out with this calculator.
For any sufficiently long string, the sum for the integer quantities will typically cause a 32-bit integer to overflow (thus losing some of the high-order bits) because the resulting values are so large. But this causes no problems when the goal is to compute a hash function.
The reason that hashing by summing the integer representation of four letters at a time is superior to summing one letter at a time is because the resulting values being summed have a bigger range. This still only works well for strings long enough (say at least 7-12 letters), but the original method would not work well for short strings either. There is nothing special about using four characters at a time. Other choices could be made. Another alternative would be to fold two characters at a time.
10.3.4. Hash Function Practice¶
Now here is an exercise to let you practice these various hash functions. You should use the calculators above for the more complicated hash functions.
10.3.5. Hash Function Review Questions¶
Here are some review questions.


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report new issues to the appropriate project issue tracker on
GitHub.
Comments
-
Greg Hurrell
Status changed:
- From: New
- To: Open
-
Greg Hurrell
Fixed.
-
Greg Hurrell
Status changed:
- From: Open
- To: Closed
Add a comment
Comments are now closed for this issue.


Enumerations
The following enumerations are available globally.
-
Enum with every loopKey error possible
See moreDeclaration
Swift
public enum LKDeviceErrorType : String
-
Undocumented
See moreDeclaration
Swift
public enum LKDeviceErrorDescriptions : String
-
Representation of possible device responses.
See moreDeclaration
Swift
@objc public enum LKDeviceResponseType : Int
-
Undocumented
See moreDeclaration
Swift
public enum LKDeviceResponseAttributeKey : String
-
Available Operation Modes for LoopKey devices.
See moreDeclaration
Swift
@objc public enum LKCommDeviceMode : UInt8
-
Describes the kind of device.
- single: A single device represents a single door.
- multiple: A single device represents multiple doors.
Declaration
Swift
@objc public enum LKCommDeviceType : Int
-
Describes the types of readers available.
- noReader: No reader.
- bigEndian: Big endian (default).
- littleEndian: Little endian (e.g. ControlID).
Declaration
Swift
@objc public enum LKCommDeviceReaderMode : Int
-
Undocumented
See moreDeclaration
Swift
public enum LKCommCommandKind : String, Codable
-
Undocumented
See moreDeclaration
Swift
@objc public enum LKPermissionFlags : UInt8
-
Describes the current state of the LKCommunicationManager instance.
- unknown: state is still unknown, probably because manager hasn’t been initialized yet.
- enabled: manager is enabled and communicating with devices.
- disabled: manager is disabled, probably because BLE is turned off.
- unsupported: BLE isn’t supported on device.
Declaration
Swift
@objc public enum LKCommState : Int


| DOSE: |
60 mg |
smoked |
DMT |
(powder / crystals) |
DMT Trip Number One - HOLY FUCK
Ok, so i write this a couple of hours after the event. The memory has mostly faded. At the time it was absolutely overwhelming, and now its a faded memory. I'll get it down while I can. To give some idea of scale, if beer is a wheelchair, weed is a bicycle, and shrooms is a motorbike, then DMT is strapping a solid fuel booster rocket between your legs and aiming for the sky. It's also exceptionally brief.
Setting: 22:00 dark at night, sitting on river bank in closed park. Safe place to act out whatever happens and not risk being disturbed. Could have done it at home, but I was worried about the possibility of uncontrolled vocalisations. In retrospect, good move.
Set: Alternating between fear and exhiliration all day. The anticipation was killing me. I'd heard so much about DMT. I had to see it for myself.

I heated the outside of the vial with a lighter, while inhaling the vapour through a short glass pipe; a reasonably effective method of vaporization. At first, I took a big hit, kept toking, toking, toking and I thought i'd done it... but then I realised I'd failed. Just mild psychedelic effects. Shit. Fuck. Lay there disappointed as hell.
I'd heard once you fail you cant try again for at least an hour but i thought fuckit, I may as well smoke whatever residue is in the vial (I had another 60mg waiting). So I did... kept smoking it, not expecting much but hoping for a potentiation of the psychedelia. And then... it started happening... fuck... now I've done it... and yet a strange sense of deja-vu lingered in the background: had I had a similar experience before, or was the DMT playing tricks with my sense of what is in the past? Time certainly seemed to collapse back to the present. The past ceased to be, the future ceased to be, only the present was left, with its DMT experience pressing itself upon me. I kept toking until my visual field crystallised into a geometric spider's web and the last two objects in the world were my pipe and my lighter. I threw them safely away, and collapsed back onto the soft ground, submitting to the DMT.
I listened for, but did not hear, the carrier wave so often mentioned. Instead I was fairly immediately forced into a very powerful trance, similar in flavour to what I have experienced with high dosages of shrooms, yet much more powerful. It's an acceleration... a quickening.. a transition from pedestrian reality to the hyperspeed booster-rocket-assisted DMT realm. Weird geometric patterns appeared everywhere and full-screen hallucinations temporarily replaced the now extremely psychedelic 'normal' reality. I was being blown around by the force of the trance and the energy flowing past and I had to focus extremely hard to stay with my center. I focused and I prayed to God and somehow I stayed close enough to my center not to spiral completely out of control. Interestingly, my intellect was intact and admidst the turmoil, I was able to recall enough religious practice to deal with the experience.
As I peaked, I was vaguely aware of a dome crystallising around me, and perhaps some entities beyond there. My initial fear had limited my intake of rocket fuel, however, and rather than managing to settle into a low orbit, I briefly glimpsed into a world beyond before beginning my parabolic descent back to Earth. This involved the usual re-entry annoyances, such as feeling physically nauseous (Purely from the sheer intensity of the experience - the only physical discomfort was from the harsh smoke on my lungs, which made breathing rather laboured), rolling around in a trance wanting it to end, wanting my mum, wanting to stand again on solid ground. The flight then levelled off at about 37,000 feet, the usual shroom cruising altitude, at which point I unbuckled my seatbelt, looked out the window, and began to enjoy the gradual return to terra firma.
Once I knew I was safe, the enormity of what I had just experienced dawned on me and could only be expressed by repeated use of the phrase 'HOLY... FUCK'. As I touched down on the landing strip and began to taxi back to the terminal, I was euphoric. I had had an immense experience, one I had desired for so long, and I had come back safely, all in the space of what felt like 5 minutes. That was truly incredible. I had the briefest and most meagre of glimpses into a vast realm of possibilities and yet I return home profoundly inspired and enriched. Wow.
As I finish writing this, it is about three hours after the trip. I am fully grounded, albeit very tired, and not quite sure how to feel about it. I had an absolutely amazingly intense experience that shook me to the core of my being... and yet I can't remember it! How is this even possible? I hear some people like to take DMT at the peak of a psychedelic trip. This approach now makes a lot of sense to me, as I feel it could have allowed me an easier acceleration as well as allowed me to descend more slowly and get more out of the experience.
To conclude, an amazing first trip. I am so glad I had previous tripping experience (a dozen or so shroom trips) and some basic tools to help me deal with the experience. I also see my technique needs a lot of refinement to get the most out of the DMT experience. Would I say it was a positive experience? Yeah, absolutely, but for the love of god get some practice in with lower intensity psychedelics first.
I am adding this paragraph 48 hours later to document after-effects. Waking up the day after the trip, I went to work as usual. Was unable to focus all day, basking in a gentle afterglow kept alive by regular mini flashbacks (mini 'HOLY SHITs'). As a result, I was high as a kite and euphoric all day. Work was impossible. Today was similar, but less intense.. still just thinking back to the trip has a very substantial effect. While the chemical effect from the DMT is long long gone, the aftershocks from the sheer intensity of the brief experience will be resounding for a while.
Also, while I claim to be high, I am not in any way in an 'altered' state of conciousness: there are no disturbances, no aberrations, just a brighter, more illuminated, clearer version of my normal waking conciousness. This state is largely free of negativity, and extremely pleasant to reside in. My interpersonal interactions today have been spontaneous, open, fluid, even with people with whom I normally have difficulty interacting. It feels as if I'm operating on a higher level of my normal waking conciousness. A more rarified, clearer level of being, yet with no imperfections or artefacts that would in any way give away that I may be 'high'. The only caveats are that a) as I'm no longer motivated by negative emotions, I would have to do a fair bit of rewiring to restore myself to being an effective worker, and b) I fear this state is temporary.
In short, DMT has completely blown my socks off. It's pure awesomeness, pure crystal clear awesomeness, but oh dear god, its powerful. Be careful. Be really careful.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


badBvar1
correct:
x
correct w/ degree
x
2
missing <ci>:
missing <ci> w/ degree:
2
2 <ci>s
x
y
2 w/ degree
x
y
2
<mi/>used
x
<mi/>used w/ degree
x
2
missing <ci>, 2 degrees
4
2


Floyd.js
Floyd.js is an extremely simple, yet versatile cycle-detection library in JS. It (surprisingly) implements a version of Floyd's algorithm.
Installation
Not yet in NPM, so for now, grab it directly from Github by cloning or:
npm install myrlund/floyd
Usage
Floyd.js is usually called through its detectCycles
function.
detectCycles(path, [options])
This function takes a path and an optional options object.
A path is an array comprised of nodes. Each node exposes a set of outgoing edges, referencing the indices of other nodes in the path.
A node can either be an array of indices directly, or be an object exposing them through a property.
Examples
A simple number path:
// (0) -> (1) -> (2) -> (3) -> (0)
var numberPath = [1, 2, 3, 0];
floyd.detectCycles(numberPath);
// => [ { firstIndex: 0, stepsFromStart: 0, length: 5 } ]
Each node being an array of out-edges:
var arrayPath = [
[1, 3],
[2],
[3],
[1],
];
floyd.detectCycles(arrayPath);
// => [ { firstIndex: 3, stepsFromStart: 1, length: 3 } ]
Each node being an object with out-edges exposed in a property:
var disconnectedPath = [
{'out': [1]},
{},
{'out': [3]},
{'out': [2]},
];
floyd.detectCycles(disconnectedPath);
// => [ { firstIndex: 2, stepsFromStart: 2, length: 2 } ]
Each node being an object comprised of both in-edges and out-edges, and non-default property names:
var complexPath = [
{},
{'incoming': [3], 'outgoing': [2, 3]},
{'incoming': [3]},
{'incoming': [0], 'outgoing': [3]},
{'incoming': [1], 'outgoing': [1]},
];
floyd.detectCycles(complexPath, {
outNodePropertyName: 'outgoing',
inNodePropertyName: 'incoming',
normalizePath: true
});
// => [ { firstIndex: 3, stepsFromStart: 2, length: 1 } ]
Options
The following default options apply:
{
outNodePropertyName: 'out',
inNodePropertyName: 'in',
normalizePath: false
}


Rosberg "would never have won another championship" after 2016 with Hamilton form
by Nicolás Quarles van UffordFormer F1 team owner Eddie Jordan thinks Nico Rosberg wouldn't have won any more championships against Lewis Hamilton after his title in 2016, when the German famously beat the Brit to the title before suddenly announcing his retirement from the sport.
Rosberg battled his childhood friend Hamilton for several years when the duo teamed up at Mercedes in 2013. The Silver Arrows weren't fighting at the top of the grid in that first season, but once the turbo-hybrid era kicked up in 2014, they started to dominate.
Hamilton was crowned champion in both 2014 and 2015, beating Rosberg to the punch, but their relationship came to a boiling point in 2016. In their most dominant year as a constructor, they often collided on-track, most famously when they took each other out at the start of the Spanish Grand Prix.
After somewhat surprisingly taking the title at the Abu Dhabi Grand Prix, Rosberg suddenly announced his retirement only a few days later. According to Jordan, this was a smart decision.
"Nico is a clever one as he decided to retire as he would have never won another championship if Lewis continued the way he has just done," Jordan told Gulf News.
"Having said that Lewis is in his own realm. He can dominate the way he wants.”
Teaming up with Valtteri Bottas since 2017 onwards, Hamilton has won all three championships convincingly, with the Finn coming closest to his British teammate in 2019 as he won four races.


{% extends 'base.html' %} {% block content %}
You can send your parcel everywhere using our networks of drivers.
Make some money on your return trip by transporting packages on your free space


The Quiver Quantitative CNBC Trading dataset provides QuiverCNBCs, QuiverCNBC, and QuiverCNBCsUniverse objects.
QuiverCNBCs objects have the following attributes:
QuiverCNBC objects have the following attributes:
QuiverCNBCsUniverse objects have the following attributes:


First Group Project. Holy-Hour compares the amount of Bars in an area
versus
the amount of Churches, and provides accurate weather information to help you make the
decision
of whether or not to go out.
Simle Weather Dashboard
This is a simple weather dasboard using Open Weather Map One Call API, and GeoLocation
API, to display the weather of any city the user types in. Uses Local Storage for search
history
Work Day Scheduler
Simple work day scheduler utilizing local storage, to save and append
user createde content.
JavaScript quiz
A small quiz relying entirely on JavaScript for its functionality with
local storage for scoring system.
Password Generator
Rudementary password generator using window alerts, prompts, and
confirms.


Welcome Abroad!
We are HAPPY to SERVE you
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Kristin Aliberto is your prototypical “reluctant” career technologist. She banged away on her IBM PS/2 while in elementary school, tried to sort out the difference between AOL and the “internet” on a Packard Bell and built her first computer from scratch before her first middle school dance. She had her first and last formal experiences in Computer Science in high school, where she had the privilege of 2 full years of Computer Science, including the Advanced Placement course work. However she was turned off by the way the content was approached and quite frankly by the attitudes of many of her classmates.
After getting a degree in something other than Computer Science (History) and not getting into a PhD program; she lept at the opportunity to get a job where she had recently graduated from, Temple University. She worked in their Student Center taking care of almost anything with an on and off switch. This included computers, movie equipment, game machines, professional audio equipment and digital signage. She was also her first taste of cloud computing because Temple University had recently moved to G Suite. She used those tools to help recruit, organize and do reporting on a staff of almost 100 student workers.
Stuck doing very technical work in a non-technical role, Kristin moved to NYU to prove her bona fides in their central ITS department. It was there that she got tapped by ITS Student Technology Services to help with their G Suite migration program. Kristin met her future employer, Appirio, while liasoning with them as part of the larger project team. After the project she was offered a job at Appirio.
Kristin was a “sketchy” hire for the VC backed Appirio when she was hired in the Summer of 2011. Originally the plan was for Kristin to do change enablement but she had other plans. By consistently raising her hand and saying, ‘I think I can do that, give e a shot,” Kristin won the trust and respect of her teammates. Within 3 years Kristin had become Appirio's lead Google architect. She has led and participated in technology programs on 5 continents, across multiple business verticals.


multigtfs is an Apache 2.0-licensed Django app that supports importing and exporting of GTFS feeds. All features of the June 20, 2012 reference are supported, including all changes up to February 17, 2014. It allows multiple feeds to be stored in the database at once.
It requires a spatial databases compatible with GeoDjango. PostgreSQL 9.x and PostGIS 2.x are recommended for development and production, since these support all the GeoDjango features.
multigtfs is ready for your GTFS project.
Point releases (0.4.1 to 0.4.2) should be safe, only adding features or fixing bugs. Minor updates (0.3.3 to 0.4.0) may include significant changes that will break relying code. In the worst case scenario, you may need to export your GTFS feeds in the original version, update multigtfs and your code, and re-import.
multigtfs works with Django 1.5 through 1.9. In the next version, support will be limited to Django’s supported releases, so if you are using an old version you will want to update to at least 1.8, the long-term support (LTS) release.
All valid GTFS feeds are supported for import and export. This includes feeds with extra columns not yet included in the GTFS spec, and feeds that omit calendar.txt in favor of calendar_dates.txt (such as the TriMet archive feeds). If you find a feed that doesn’t work, file a bug!
See the issues list for more details on bugs and feature requests.
Check out the example project.


Kombu & SeaweedKombuThis important ingredient is used to make dashi, the essential basic stock for practically all Japanese recipes. Kombu is gathered in the shallow waters off Hokkaido, Japan’s northernmost island. The best variety, rishiri kombu, is 1/8” thick, 5” to 8” wide and grows anywhere from 5’ to 8’ long. When purchased in a specialty shop in Japan, it comes dried in full lengths, or is precut into convenient sizes, which are packed in flat plastic envelopes. It pays to buy the best quality you can find, as its subtle flavor varies widely. However, it might be hard to find the best varieties in the US. Kombu has virtually no protein, but is high in calcium, carotene, iron and iodine. It is thought to contain amazing cancer-fighting ingredients, which my father goes on and on about. NoriJapan produces more nori, both in quantity and variety, than any other country in the world. The early Japanese ate nori raw, as early as the 7th century. Today it is farmed; spores are planted in January on nets and placed in bays or lagoons. After harvesting the seaweed in autumn, it is washed in cold water and then spread thinly onto sheets to dry in the sun (much like papermaking). It is then toasted and cut into sheets, or seasoned with soy sauce and mirin to make flavored nori. With the popularity of sushi, you can now find nori at almost any grocery store in the US, where it comes in 8” x 7” black or dark green sheets. The better quality nori is thick and has a tight and even texture. These are used for making maki zushi, cut into pieces to eat with onigiri, or crumbled over cold soba noodles, seafood domburis, and other dishes. It has a crisp texture that melts in the mouth, and is fun to eat plain. My nieces and nephews love to eat whole sheets as a snack. Nori is high is protein and vitamins A and B1, and contains zinc, iron and calcium. Care should be taken to keep the packages dry in ziplock bags, as moisture can ruin its texture and make the sheets too soft to roll sushi. WakameWakame is the most popular type of seaweed in Japan. The Western name for this seaweed is sea mustard, but it has none of mustard’s bitterness. Highly nutritious, wakame is usually dried or preserved in salt, and is therefore considered a staple for the Japanese pantry. To reconstitute the dried variety, simply crumble a small handful (it expands greatly) and soak in a bowl of room temperature water for 10 minutes. Rinse, chop and serve raw in salads, or serve lightly simmered in soup. Prolonged cooking (or soaking) leads to soggy and overly soft wakame. When serving leftover miso soup, the old wakame should be replaced with fresh. |
|
|


--- title: Precious Plastic Map short: Map id: 13 layout: page color: purple kind: page ---
On this map we put everyone that built machines and started recycling plastic. If you started as well, let us know! We would love to put your nice little pin on here 📍.
As you can see we broke our previous map :( BUT we are working on a waaaay better,advanced, cooler, prettier, smoother and more robuust one for V3, coming soon. Help us at next.preciousplastic.com


hunch_net hunch_net-2012 hunch_net-2012-470 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: The workshop on the Meaningful Use of Complex Medical Data is happening again, August 9-12 in LA, near UAI on Catalina Island August 15-17. I enjoyed my visit last year, and expect this year to be interesting also. The first Bay Area Machine Learning Symposium is August 30 at Google . Abstracts are due July 30.
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3 The first Bay Area Machine Learning Symposium is August 30 at Google . [sent-3, score-0.063]
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same-blog 1 1.0 470 hunch net-2012-07-17-MUCMD and BayLearn
Introduction: The workshop on the Meaningful Use of Complex Medical Data is happening again, August 9-12 in LA, near UAI on Catalina Island August 15-17. I enjoyed my visit last year, and expect this year to be interesting also. The first Bay Area Machine Learning Symposium is August 30 at Google . Abstracts are due July 30.
2 0.25143555 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 â€“ August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
3 0.15787421 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
Introduction: Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD February 11/18 August 21-24, San Diego, California, USA N N UAI March 18 July 14-17, Barcelona, Spain Y N The larger conferences are on the west coast in the United States, while the smaller ones are in Europe.
4 0.15621099 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
5 0.15262148 443 hunch net-2011-09-03-Fall Machine Learning Events
Introduction: Many Machine Learning related events are coming up this fall. September 9 , abstracts for the New York Machine Learning Symposium are due. Send a 2 page pdf, if interested, and note that we: widened submissions to be from anybody rather than students. set aside a larger fraction of time for contributed submissions. September 15 , there is a machine learning meetup , where I’ll be discussing terascale learning at AOL. September 16 , there is a CS&Econ; day at New York Academy of Sciences. This is not ML focused, but it’s easy to imagine interest. September 23 and later NIPS workshop submissions start coming due. As usual, there are too many good ones, so I won’t be able to attend all those that interest me. I do hope some workshop makers consider ICML this coming summer, as we are increasing to a 2 day format for you. Here are a few that interest me: Big Learning is about dealing with lots of data. Abstracts are due September 30 . The Bayes
6 0.14575297 145 hunch net-2005-12-29-Deadline Season
7 0.13352805 130 hunch net-2005-11-16-MLSS 2006
8 0.11443709 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
9 0.11225678 444 hunch net-2011-09-07-KDD and MUCMD 2011
10 0.11148597 452 hunch net-2012-01-04-Why ICML? and the summer conferences
11 0.1107805 387 hunch net-2010-01-19-Deadline Season, 2010
12 0.11005839 124 hunch net-2005-10-19-Workshop: Atomic Learning
13 0.10423185 410 hunch net-2010-09-17-New York Area Machine Learning Events
14 0.10318048 481 hunch net-2013-04-15-NEML II
15 0.099703372 455 hunch net-2012-02-20-Berkeley Streaming Data Workshop
16 0.088654786 357 hunch net-2009-05-30-Many ways to Learn this summer
17 0.081260361 475 hunch net-2012-10-26-ML Symposium and Strata-Hadoop World
18 0.079517409 396 hunch net-2010-04-28-CI Fellows program renewed
19 0.074920632 266 hunch net-2007-10-15-NIPS workshops extended to 3 days
20 0.074292041 489 hunch net-2013-09-20-No NY ML Symposium in 2013, and some good news
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same-blog 1 0.97298992 470 hunch net-2012-07-17-MUCMD and BayLearn
Introduction: The workshop on the Meaningful Use of Complex Medical Data is happening again, August 9-12 in LA, near UAI on Catalina Island August 15-17. I enjoyed my visit last year, and expect this year to be interesting also. The first Bay Area Machine Learning Symposium is August 30 at Google . Abstracts are due July 30.
2 0.67212605 17 hunch net-2005-02-10-Conferences, Dates, Locations
Introduction: Conference Locate Date COLT Bertinoro, Italy June 27-30 AAAI Pittsburgh, PA, USA July 9-13 UAI Edinburgh, Scotland July 26-29 IJCAI Edinburgh, Scotland July 30 â€“ August 5 ICML Bonn, Germany August 7-11 KDD Chicago, IL, USA August 21-24 The big winner this year is Europe. This is partly a coincidence, and partly due to the general internationalization of science over the last few years. With cuts to basic science in the US and increased hassle for visitors, conferences outside the US become more attractive. Europe and Australia/New Zealand are the immediate winners because they have the science, infrastructure, and english in place. China and India are possible future winners.
3 0.63238955 283 hunch net-2008-01-07-2008 Summer Machine Learning Conference Schedule
Introduction: Conference Paper due date Conference Date Location AAAI January 22/23/25/30 July 13-17 Chicago, Illinois ICML Feb 8 July 5-9 Helsinki, Finland COLT Feb 20 July 9-12 Helsinki, Finland KDD Feb 23/29 August 24-27 Las Vegas, Nevada UAI Feb 27/Feb 29 July 9-12 Helsinki, Finland Helsinki is a fun place to visit.
4 0.56854409 422 hunch net-2011-01-16-2011 Summer Conference Deadline Season
Introduction: Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD February 11/18 August 21-24, San Diego, California, USA N N UAI March 18 July 14-17, Barcelona, Spain Y N The larger conferences are on the west coast in the United States, while the smaller ones are in Europe.
5 0.56668234 145 hunch net-2005-12-29-Deadline Season
Introduction: Many different paper deadlines are coming up soon so I made a little reference table. Out of curiosity, I also computed the interval between submission deadline and conference. Conference Location Date Deadline interval COLT Pittsburgh June 22-25 January 21 152 ICML Pittsburgh June 26-28 January 30/February 6 140 UAI MIT July 13-16 March 9/March 16 119 AAAI Boston July 16-20 February 16/21 145 KDD Philadelphia August 23-26 March 3/March 10 166 It looks like the northeastern US is the big winner as far as location this year.
6 0.52631086 443 hunch net-2011-09-03-Fall Machine Learning Events
7 0.48517019 415 hunch net-2010-10-28-NY ML Symposium 2010
8 0.46425402 472 hunch net-2012-08-27-NYAS ML 2012 and ICML 2013
9 0.44829312 66 hunch net-2005-05-03-Conference attendance is mandatory
10 0.44074261 184 hunch net-2006-06-15-IJCAI is out of season
11 0.43743849 226 hunch net-2007-01-04-2007 Summer Machine Learning Conferences
12 0.43575755 410 hunch net-2010-09-17-New York Area Machine Learning Events
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14 0.42516389 125 hunch net-2005-10-20-Machine Learning in the News
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2 0.60779595 349 hunch net-2009-04-21-Interesting Presentations at Snowbird
Introduction: Here are a few of presentations interesting me at the snowbird learning workshop (which, amusingly, was in Florida with AIStat ). Thomas Breuel described machine learning problems within OCR and an open source OCR software/research platform with modular learning components as well has a 60Million size dataset derived from Google ‘s scanned books. Kristen Grauman and Fei-Fei Li discussed using active learning with different cost labels and large datasets for image ontology . Both of them used Mechanical Turk as a labeling system , which looks to become routine, at least for vision problems. Russ Tedrake discussed using machine learning for control, with a basic claim that it was the way to go for problems involving a medium Reynold’s number such as in bird flight, where simulation is extremely intense. Yann LeCun presented a poster on an FPGA for convolutional neural networks yielding a factor of 100 speedup in processing. In addition to the graphi
3 0.45000753 342 hunch net-2009-02-16-KDNuggets
Introduction: Eric Zaetsch points out KDNuggets which is a well-developed mailing list/news site with a KDD flavor. This might particularly interest people looking for industrial jobs in machine learning, as the mailing list has many such.
4 0.35376769 149 hunch net-2006-01-18-Is Multitask Learning Black-Boxable?
Introduction: Multitask learning is the learning to predict multiple outputs given the same input. Mathematically, we might think of this as trying to learn a function f:X -> {0,1} n . Structured learning is similar at this level of abstraction. Many people have worked on solving multitask learning (for example Rich Caruana ) using methods which share an internal representation. On other words, the the computation and learning of the i th prediction is shared with the computation and learning of the j th prediction. Another way to ask this question is: can we avoid sharing the internal representation? For example, it might be feasible to solve multitask learning by some process feeding the i th prediction f(x) i into the j th predictor f(x,f(x) i ) j , If the answer is “no”, then it implies we can not take binary classification as a basic primitive in the process of solving prediction problems. If the answer is “yes”, then we can reuse binary classification algorithms to
5 0.2222853 488 hunch net-2013-08-31-Extreme Classification workshop at NIPS
Introduction: Manik and I are organizing the extreme classification workshop at NIPS this year. We have a number of good speakers lined up, but I would further encourage anyone working in the area to submit an abstract by October 9. I believe this is an idea whose time has now come. The NIPS website doesnâ€™t have other workshops listed yet, but I expect several others to be of significant interest.
6 0.20589617 387 hunch net-2010-01-19-Deadline Season, 2010
7 0.20274171 409 hunch net-2010-09-13-AIStats
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9 0.20243993 465 hunch net-2012-05-12-ICML accepted papers and early registration
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11 0.19424747 271 hunch net-2007-11-05-CMU wins DARPA Urban Challenge
12 0.19412701 446 hunch net-2011-10-03-Monday announcements
13 0.19391909 448 hunch net-2011-10-24-2011 ML symposium and the bears
14 0.19332093 20 hunch net-2005-02-15-ESPgame and image labeling
15 0.19127743 302 hunch net-2008-05-25-Inappropriate Mathematics for Machine Learning
16 0.18845662 90 hunch net-2005-07-07-The Limits of Learning Theory
17 0.18411435 125 hunch net-2005-10-20-Machine Learning in the News
18 0.18099575 331 hunch net-2008-12-12-Summer Conferences
19 0.18069217 339 hunch net-2009-01-27-Key Scientific Challenges
20 0.17828842 457 hunch net-2012-02-29-Key Scientific Challenges and the Franklin Symposium


This sample illustrates the use of the Classic Search Mode with Unicode strings.
In this demo the GetFieldFromActiveRow method is being used with the OnAfterSearch event to populate a 'details' area with the data for that record.
Instructions: put your cursor in the text box and start typing.
Select a Country:
Country Details:
Country Name
|


 He's garnered the Palme D'or at Cannes, critical success all over the world, and been hailed as a great writer-director. This isn't the first time that a new talent was prematurely placed on a pedestal, nor that a film this flawed was received with gushing fanfare. But it's an alarming indication of how little we have come to expect from cinema and art in general.
The biggest problem with PULP FICTION is that it takes Tarantino almost three hours to tell a story that not only could, but should be mercifully shorter.  Its theme is communicated through Jules, a thoughtful but immoral hitman. On a hit, Jules has an epiphany, realizing that the power dynamic he exploits is a facade for the spiritually bankrupt, and he gets out. It's a good idea, and the best films of its kind were never longer than an hour and a half. The length of PULP FICTION can't be blamed on its labyrinthine narrative, which dances back and forth in time. Kubrick's The Killing, made when he was younger than Tarantino, is at least as intricate, juggles as many characters and weaves its web in less than ninety minutes.
PULP FICTION is more gratuitous and meandering than purposefully complex. A lot of what we see and how we see it is extraneous. Like an overzealous freshman writing student, Tarantino is too desperate to please to be concise. And with a vignette format, being concise is essential. He spends a half hour on a disaffected white girl, exploring every detail of her existence, and another forty minutes on a boxer who bungles his way through a double-cross. The girl's plotline makes no sense. The boxer's story kind of fits the theme but is short-changed by the overstuffed structure, which doesn't allow any of the plots to be worked through.
Tarantino's more interested in his semiotic manipulation of movie-cliches and narrative trickery than in telling a good story. His depiction of Los Angeles feels like the vision of a bad Italian comic book artist who never left Napoli. The present-day hitmen are inexplicably dressed like the Rat pack, the dialogue (though hilarious) sounds more like an Eric Bogosian rant than human speech, and everything's steeped in half-hearted symbolism about fate and destiny. There's so much artifice and excess crammed into PULP FICTION that Tarantino doesn't just seem disinterested in being pointed, but terrified of it. It's no help that the cinematography and soundmix are so jarring that they actually cause physical pain.
One of the film's many fans would dispute my points by saying he enjoyed the movie, however meaningless, so why should it be cut? That's an understandable question from someone who expects nothing from film but a titillating puzzle, but not from Tarantino who must want more of a reaction than that to his work. Or does he? His decision to tell stories this way is not just puerile and self-indulgent, it's indicative of the over-regard for mind-games and artifice that's plagued the art world since the arrival of Cubism. And it's the reason why film, our youngest and, potentially, most powerful art form, has not evolved past the cradle. If anything, it's regressed, simply because we're so attached to our brain-power as an end unto itself. What could be a dynamic medium for deep expression is mostly a superficial tool for exercising our intellects, and only filmmakers can change that.
It's ironic that PULP FICTION, a perfect model of masturbatory instead of pointed storytelling, wraps its theme around the Bible. Jules has spent years blindly quoting Ezekial, chapter 25, which speaks of God's wrath against the unfaithful. When he has his epiphany, the spiritual meaning of the verse becomes clear to him, and he's reborn. Tarantino may want to stroll backwards in his bible a few pages to Ecclesiastes, chapter 5: "And what profit hath he that hath labored for the wind?" Certainly, he's gained fame, wealth and creative freedom. But what use is that if he can't muster up faith in his own medium?
(The preceding was my article printed in the New-York-based magazine; "Paper," December issue. It is from my monthly film column.)
Alex Winter
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The review above was posted to the
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Self Cooling Shot Glasses
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APIs
This section provides in-depth documentation for all iQmetrix RQ APIs along with Platform APIs that are integrated with RQ.
Featured RQ APIs
- Carrier Integration
- Commissions
- Customer Managed Inventory
- Electronic Product Catalog
- Punch Clock
- RQ Data Connect
- RQ Data Connect Bridge
- Vendor Managed Inventory
Other APIs
- Authentication
- Catalog
- Classification Tree
- Company Tree
- Cost Feed
- Customers
- Entities
- Field Definitions
- General Ledger
- Inventory Availability
- Orders
- Partner Relationships
- Partner Reporting
- Pricing
- Product Feed
- Products
- Product Structure
- Product Subscription
- Reference
- Shipping Aggregator
- Security Roles
- Shipping Options
- Supplier Availability
- Supplier Orders
- User Manager


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Google Maps: Bringing you the latest in satellite imagery
Create a new trick by customizing the map:
1) Position the map:
2) Pick the trick type & drag it around to place it:
Sinkhole
Godzilla!
Earthquake
Blurred Out
Brontosaurus
Giant Alien Bug


CodeSniffer – The PHP Coding Standards Tool
Originally posted at http://www.ashleysheridan.co.uk/blog/CodeSniffer+%E2%80%93+The+PHP+Coding+Standards+Tool
A couple of years ago I implemented a coding standards guide for PHP development at TMW, as I’d noticed that they only had a document that was focused on .Net and Windows. The guide outlined mostly common sense practices, such as avoiding certain unsafe language functions, and how to best indent and document your code. Just over a year ago I made this document public on the TMW GitHub account, and have been updating it in small ways since that time.
Going Further
A document out on its own though, is not something that can easily be checked against, especially as it was now becoming quite lengthy. In order to be really useful, especially for freelancers who would need to follow the guide, I needed a way that code could be easily checked against the guidelines. Enter CodeSniffer from Squiz Labs, a tool built in PHP to tokenise your code and validate it against a list of rules you want to test it against.
Getting Started
Installing CodeSniffer is easy using PEAR:
pear install PHP_CodeSniffer
This will also install several groups of different rules to apply, typically in /usr/share/pear/PHP/CodeSniffer/Standards/ (but this may vary slightly from system to system, especially if you’re on Windows)
Now, if you wish, you can just run the codesniffer tool with one of the existing rule groups with a line like:
phpcs --standard=PSR2 /directory/of/code/to/check/
This will then produce a standard report on the console with any errors found. This might be fine if you adhere to one of these standards completely, but as with any process like this, it won’t be perfect for all situations. This is where you can be more specific about which rules you acually want to apply (and you can even write your own, but that’s a bit more in-depth, and probably deserves its own post)
Making a List
The first thing I did was go over each and every rule that came with CodeSniffer and pick out the ones that made sense with the TMW Coding Standards document. CodeSniffer allows you to create a rule list very easily with a ruleset.xml file, where you can either specify a single rule, a whole group, or a group with a few excluded.
You might see advice on forums and sites online that suggest you delete or rename files in the Standards directory. Do not do this! It’s a lot better to make your own ruleset list to run, and there may even be times that you want that old rule back.
 So for example, this snippet which is at the top of the TMW ruleset.xml file includes all the Pear rules for classes and files, and everything in the Pear commenting group except for the file and class comment rules:
<!-- Pear rules -->
<rule ref="PEAR.Classes"/>
<rule ref="PEAR.Commenting">
<exclude name="PEAR.Commenting.FileComment"/>
<exclude name="PEAR.Commenting.ClassComment"/>
</rule>
<rule ref="PEAR.Files"/>
I recommend you go through the list of rules and see what makes sense for you. Some won’t work together, such as the indentation rules, one enforces tab indents, another enforces spaces. Play around until you find a good match for your own standard.
Customising Your Rules
You might find that some of the rules go 90% of the way, but that other 10% just doesn’t work for you. In this instance, you can copy out the rule into a directory called Sniffs (in the same location as your ruleset.xml file) and customise the rule. One rule I did this with was the PEAR.Functions.FunctionCallSignature rule, as I didn’t like the way it enforced space indentation and a required space before the closing bracket of a function call, and I just commented out the code in the rule responsible for throwing those errors.
This makes some of the existing rules a lot more useful, as some of them, I think, try to do a bit too much and ought really to be broken down into smaller sub-rules.
Running Your Custom Rule List
Now that you have you list of rules, you actually want to run your code against them. The fastest way is just to point to your XML file:
phpcs –standard=/path/to/ruleset.xml /directory/of/code/to/check/
However, it can be a bit cumbersom to constantly write out the path to your rule list, so you can make it the default with the following command (you will need to run this with root permissions):
phpcs --config-set default_standard /path/to/ruleset.xml
Now you can just check your code with a command like:
phpcs /directory/of/code/to/check/
Choosing What to Check
So far, all the examples I’ve shown are just checking a directory (and all sub-directories within) for PHP files to scan and report on. That may be fine for very simple things, but what if you’re building something on an existing framework or CMS. You don’t want to check all the code files of WordPress or Laravel, for example, and neither do you want to check all the 3rd party libraries that you’re using. You can instruct CodeSniffer to ignore specific files with the –ignore argument:
phpcs --ignore=/*/TwitterOAuth.php /directory/of/code/to/check/
You can use as many of these –ignore directives as you need, and the standard shell brace expansion can be used:
phpcs –ignore=laravel/app/{config,database,lang,start,storage,tests} laravel/app/
This can be very useful for only testing your own code, and only getting a report with your own errors, and not those that Joe Bloggs made on that library you just downloaded.
Getting More From Your Reports
The standard report is all well and good, but there are other useful types of reports that CodeSniffer can produce for you. One is a source report, which will tally up all the specific types of issues found in your code, how many times each one was found, and gives the name and group of the exact rule that was broken. This can be especially useful when you’re testing out a new rule group (or groups) and you want to know which error comes from which rule.
phpcs report=source /directory/of/code/to/check/
Another report type gives you a diff syntax that many other tools can use to fix your code automatically. In-face, CodeSniffer comes with a tool to fix these kinds of errors for you, called phpcbf (PHP Code Beautifier and Fixer)
A final report type that I’ve found useful is the git blame report (there’s an svn blame one too), which will try to report on who made the code commit that contains the error. This can be useful in a team scenario where you might want the respective team members to fix their own issues.
| Report Type | Output |
|---|---|
| full | The default report type which is quite verbose |
| xml | Outputs the report as XML, useful if you’re saving this to be digested by another tool |
| json | As above, but JSON format |
| csv | Again, as above, but in CSV format |
| source | A shorter list where repeat issues are grouped, along with their totals and the Sniff group the rule belongs to |
| diff | A diff format output, useful for other tools to automatically apply fixes where possible |
| svnblame/gitblame | This report shows who was responsible for each error. For code that has not been committed, the report will show no name |
| notifysend | This doesn’t output a report, but triggers a message in the standard OS notification system. Useful when you’re performing multiple reports from the same command and want to know when it’s completed |
Conclusion
Hopefully you’ll have found some of this useful if you’re just getting started with CodeSniffer. It’s a powerful tool, and can do far more than what I’ve touched upon in this article, such as checking JavaScript code, and being able to run completely bespoke code to check for things that aren’t covered in the standard rules. I encourage you to play around with this, and find a setup that works for you, whether it be as part of a continuous integration chain, or as a pre-commit hook check. I’ll leave it to you to decide how best to use it.


Our Ceremony will be held at 3 p.m. at First Parish Congregational Church in Saco, Maine.
Address: 12 Beach St, Saco, ME 04072 Formal or semi-formal attire requestedOur reception will be at 5 p.m. at Village by the Sea in Wells, Maine.
Address: 1373 Post Rd, Wells, ME 04090 Please RSVP on the tab to the right.Dinner will be a buffet menu including the following options as entrees:
Haddock Au Gratin with cheese sauce Prime Rib Vegetarian optionThe following links will connect you to all the places we have made a registry
Portland International Jetport (PWM)- Portland, ME
Manchester-Boston Regional Airport- Manchester, NH
Boston International Airport (Logan)- Boston, MA
Directions from Boston:
Note: Amtrak also provides rail service from the Boston North Station to Portland, ME. In addition, buses are available from Logan Airport.Directions from Manchester:
Directions from White River Junction:
Directions from Burlington:
Quickest route (4 hours)- I89 South to White River Junction; Take I93 South Exit toward Manchester/Boston; Take left exit for NH 101E towards NH seacoast/Portsmouth; Take I95 North exit toward Portsmouth; Continue until Maine I-95 Exit 36 (Saco/Old Orchard Beach)
General Map of First Parish Congregational Church (Ceremony area) Location:
12 Beach St, Saco, ME 04072
General Map of Village by the Sea (Reception area) Location:
1373 Post Road, Wells, ME 04090Brenda Warman
Maid of Honor I met Brenda on an Alternative Spring Break trip to Tennessee in March of 2015. We clicked from the start and started hanging out and talking regularly. I am so glad I met someone as special as you Brenda! Thank you for sharing in my special day. Brenda is currently a Graduate student at the University of Vermont getting her Masters so that she can be a Licensed Clinical Health Counselor.Caroline Suresh
Maid of Honor My sister and I used to be the best partners in crime (AKA 'Fantastic Four', Summers 2005-2006) and she still is the probably the best mind-reader (of me) that I know of... :) We have our differences for sure but I love you and I'm so proud of you- my wicked smart and passionate sister. Caroline is currently a second year medical student at New York Medical College in Valhalla, NY.Andrew Calkins
Bridesman I met Andrew in 2009 while working in a Neuroscience lab at Bowdoin. Together, Andrew (and Audrey Bergeron) and I became the "3 musketeers" during our time at Bowdoin and for a few years after as well. Andrew has been a very good and trusted friend and I thank you for that! Andrew currently does research at Dartmouth College in Hanover, NH.Ignatia Chen
Bridesmaid Ignatia has been a strong behind-the-scenes support structure for me since I met her at Bowdoin. Unfortunately, due to unforeseen circumstances, she won't be able to make it over to Maine on my wedding day. However, I would still like to acknowledge her as my bridesmaid in my heart. I am glad for all the times you have lifted me up when I was feeling down Ignatia. Thank you for everything. She is currently living and working in Colorado.Allison Devins
Bridesmaid Allison is Brian's youngest sibling. She has been immensely helpful in planning Abbi's bridal shower with Brenda and Caroline. Allison and Brian have always been close. She is currently living and working in Burlington.Christopher Potter
Best Man Chris and I met as freshmen at Clarkson where he lived across the hall from Spencer. We knew him as Potter because both he and his roommate were named Chris so obviously we needed a way to differentiate between them. We really became friends during Sophomore year when the engineering students started to take their specialized classes and he and I were taking most of the same ones. We would eventually live together in 4 person dorms during Junior and Senior years, and both had internships at IBM our last summer of college. Chris first met Abbi at Thanksgiving of 2016 when we had lunch/brunch at American Flatbread and told her of his plan to buy a castle one day. Chris currently lives in Poughkeepsie, NY.Spencer Tobin
Groomsman Spencer is my oldest friend. I don’t actually remember when we first met but I assume it either involved youth hockey or soccer. We spent a lot of time in school together, and annoyed a few teachers in the process, including both of the Heeremans’. We ended up both applying to Clarkson and both going. Spencer had a car during college and so he and I would make the 4 hour treks back and forth with me paying for gas and snacks. He would end up rooming with Chris and was part of the 4 person dorms. Spencer currently lives in Erie, PA.Joseph Andrist
Groomsman Joe is the last member of our 4 person dorms, and was my roommate from the middle of Sophomore year until the end of college. He moved onto my freshman floor for second semester and became my friend. Joe and I bonded over our love of computers and movies. He had the sound system that could get the RA to pound on the door because the movies were so loud he could hear it downstairs. Joe was one of the people who helped me break out of the shy person I was when I came to Clarkson. Joe now owns a house and lives in Albany, NY.Daniel Devins
Groomsman Dan is my brother. People who know us know we don’t always get along, this is definitely evident in the fact that he chose to follow me onto the high school cross-country team and then follow me all the way to Clarkson for college, and to Dealer.com for work. Of the almost 4 years I have lived in Burlington, Dan and I shared an apartment for 2 ½ of it. While Dan and I are wildly different people we both enjoy hockey, good beer, and good food. Dan lives in Burlington, VT.Stay at our reception area:
10 suites have been blocked out (NOT paid for) at Village by the Sea until May 15th, 2018. Please call and book with them before this date and state that you are with the "Suresh & Devins Wedding" to confirm/pay for your room if you would like to stay here. Phone number to call: 1-800-444-8862 1 bedroom units: can fit 4 guests [Price: $119/night before tax] 2 bedroom units: up to 6 guests [Price: $159/night before tax] Village by the Sea **Please note: The above rates are for the lower level. If you would like an upper level room which has a view towards to the ocean it is an additional $20/night in addition to the above costs**Other hotels/motels around the area:
Elmwood Resort Hotel Hampton Inn Ramada (Wyndham Hotel)Please check your email for the password.
Things to do around Southern Maine & Places to Eat (An abbreviated list)
This webpage was created & designed by Abbi Suresh


Are you a network, studio, or agent? A full pitch document is available upon request.
As an artist, storyteller, and habitual world-builder, Alan spends a lot of time jotting down ideas. He's worked on mutiple products including Out There (IFC), The Awesomes (Hulu), and transmedia projects for Toonix and The Electric Company (Cartoon Network Latin America, PBS respectively). His work on Kamikaze includes world and story development, background design, character design, and writing. The team's go-to guy for all things science and tech related, Alan is a sci-fi geek, virtual world enthusiast, and feared where ever coffee products are sold.
A freelance artist committed to the craft of storytelling, Carrie has put her passion for animation and story to use across multiple mediums. She has been central to the design and development of the narrative, characters, and world of Kamikaze. Throughout the process Carrie filled art director, writer and producer roles and acted as team coordinator, all while producing finalized character illustrations. She is a Photoshop wizard, voracious researcher, herder of corgis, and devoted scholar of storytelling.
Though adept at marketing, Havana's natural talents flourish in her positions as a freelance artist and graphic designer. Her role as Kamikaze's pitch production artist included everything from character illustration, logo design, layout design, and official idea sounding board. Havana is an Illustrator ninja, ex-introvert, animation geek and the team's only fashionista.


\newcommand{cmd}[args][opt]{def}
\renewcommand{cmd}[args][opt]{def}
\providecommand{cmd}[args][opt]{def} —
LaTeX2e
These commands define (or redefine) a command.
\newcommand{\water}{H$_2$O}
This would allow one to write, e.g.,
The formula for water is \water.
or
\water\ is the formula for water.
Note, in the second case, the trailing \ followed by a blank is required to ensure a blank space after the H2O; LaTeX ignores the blank following a command, so the space has to be specifically inserted with the \<space>.
As a second example consider
\newcommand{\hypotenuse}{$a^{2}+b^{2}$}
Note that this will produce the desired formula in text (paragraph) mode because of the $...$ in the definition. In math mode, however, the first $ in the definition will cause LaTeX to leave math mode, causing problems.
In LaTeX 2.09 a standard trick for getting around this is to put the math-mode expression in an \mbox, viz.,
\newcommand{\hypotenuse}{\mbox{$a^{2}+b^{2}$}}
In LaTeX2e the \ensuremath command has been provided to alleviate this problem. The argument of the \ensuremath command is always processed in math mode, regardless of the current mode. Using this mechanism the above could be written as
\newcommand{\hypotenuse}{\ensuremath{a^{2}+y^{2}}}
See also Commands
Go to LaTeX Table of Contents


SIEVE
Statistical Interactive Explorer of Vaccine Efficacy
Other sieve analysis datasets
Upload your own data
About
SIEVE
Menu ☰
Page under construction. Please check back soon.


See the stops around your location along with your favourites.
Get Around Dublin shows what you care about.
Easily find the bus stop or service that you are looking for and get the most up to date passenger information.
Get Around Dublin shows you how to get to your bus stop, and using Google Maps Street View we can show you what your bus stop looks like.
Search and browse for stops using the built in map, saving you from remembering stop names. Showing you the stops and the services without delay.
 So even if you don't know exactly where to get off, we'll tell you which way to go.
We all got a few stops that we don't know the name for... Add them as favourites and give them a cool nickname.
Find stops or services quickly using search.
Showing you the most up to date information about Dublin Bus services and timetables.
Prefer Apple Maps over Google's? No problem... It's all up to you!


raw.js |
|
"use strict";
var domain; // The domain module is executed on demand
var hasSetImmediate = typeof setImmediate === "function";
|
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Use the fastest means possible to execute a task in its own turn, with priority over other events including network IO events in Node.js. An exception thrown by a task will permanently interrupt the processing of
subsequent tasks. The higher level |
module.exports = rawAsap;
function rawAsap(task) {
if (!queue.length) {
requestFlush();
flushing = true;
}
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Avoids a function call |
queue[queue.length] = task;
}
var queue = [];
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Once a flush has been requested, no further calls to |
var flushing = false;
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The position of the next task to execute in the task queue. This is
preserved between calls to |
var index = 0;
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If a task schedules additional tasks recursively, the task queue can grow unbounded. To prevent memory excaustion, the task queue will periodically truncate already-completed tasks. |
var capacity = 1024;
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The flush function processes all tasks that have been scheduled with
|
function flush() {
while (index < queue.length) {
var currentIndex = index;
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Advance the index before calling the task. This ensures that we will begin flushing on the next task the task throws an error. |
index = index + 1;
queue[currentIndex].call();
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Prevent leaking memory for long chains of recursive calls to |
if (index > capacity) {
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Manually shift all values starting at the index back to the beginning of the queue. |
for (var scan = 0, newLength = queue.length - index; scan < newLength; scan++) {
queue[scan] = queue[scan + index];
}
queue.length -= index;
index = 0;
}
}
queue.length = 0;
index = 0;
flushing = false;
}
rawAsap.requestFlush = requestFlush;
function requestFlush() {
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Ensure flushing is not bound to any domain. It is not sufficient to exit the domain, because domains exist on a stack. To execute code outside of any domain, the following dance is necessary. |
var parentDomain = process.domain;
if (parentDomain) {
if (!domain) {
|
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Lazy execute the domain module. Only employed if the user elects to use domains. |
domain = require("domain");
}
domain.active = process.domain = null;
}
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if (flushing && hasSetImmediate) {
setImmediate(flush);
} else {
process.nextTick(flush);
}
if (parentDomain) {
domain.active = process.domain = parentDomain;
}
}
|


|
NEWSVR
|
Main page of the devmode. Here you can create news and tags. More...
Public Member Functions | |
| void | AddNews () |
| void | AddTags () |
| void | CancelTagActionBtn () |
| void | SaveAddTag () |
| Call when you want to submit a new tag More... | |
| void | DisplayTagsList () |
| Generate the tag list. For each tags in the db, create a button and add it in the scrollview. If a tag is pressed, activate the delete panel. More... | |
| void | DisplayNewsList () |
| Generate the news list. For each news in the db, create a button and add it in the scrollview. If a news is pressed, activate the delete panel. More... | |
| void | DeleteTag (Text t) |
| Call when you want to delete a tag More... | |
| void | DeleteNews () |
| Call when you want to delete a news More... | |
| bool | IsTagAlreadyExist (string s) |
| Call when you want to add a tag. More... | |
| void | ClearList (List< GameObject > lgo) |
| void | GoBackToMenu () |
| void | GoToStatistics () |
Main page of the devmode. Here you can create news and tags.
| void Assets.Scripts.DevMode.AdminPage.DeleteNews | ( | ) |
Call when you want to delete a news
| void Assets.Scripts.DevMode.AdminPage.DeleteTag | ( | Text | t | ) |
Call when you want to delete a tag
| t |
| void Assets.Scripts.DevMode.AdminPage.DisplayNewsList | ( | ) |
Generate the news list. For each news in the db, create a button and add it in the scrollview. If a news is pressed, activate the delete panel.
| void Assets.Scripts.DevMode.AdminPage.DisplayTagsList | ( | ) |
Generate the tag list. For each tags in the db, create a button and add it in the scrollview. If a tag is pressed, activate the delete panel.
| bool Assets.Scripts.DevMode.AdminPage.IsTagAlreadyExist | ( | string | s | ) |
Call when you want to add a tag.
| s | tag name |
| void Assets.Scripts.DevMode.AdminPage.SaveAddTag | ( | ) |
Call when you want to submit a new tag
clear the input field
refresh tag list


12.2.3 Exceptions
SP_exception_term()
- fetches the Prolog term representing the
most recently raised exception
SP_fail()
- propagates failure to Prolog
SP_on_fault()
[macro]- provide a scope for faults
SP_raise_exception()
- propagates an exception to Prolog
SP_raise_fault()
- raise a fault
Send feedback on this subject.


The design system built for science
Built for the National Center for Biotechnology Information, part of the United States National Library of Medicine, a branch of the National Institutes of Health
Introduction to NCBI
With 18.2 million cases of COVID-19 virus, in the United States, ncbi.nlm.nih.gov is the second most visited .gov domain while scientists search for a cure.
Founded in 1988
National Center for Biotechnology Information (NCBI) was founded in 1988.
10+ Databases
NCBI is a resource for genomic, genetic, and biomedical data that fight human diseases.
127,111,284 Visitors
ncbi.nlm.nih.gov has had a total of 127,111,284 visitors over the last 30 days.
A Reusable System for Scale
Chromo is a scalable design system that’s accessible and mobile-friendly for NCBI’s government website dedicated to science for the public.
The Basics that Create Consistency
Chromo’s foundational basics that make scaling effortless.
Color
Use of a color palette intentionally, consistently, and sensitively for science.
Icons
Font Awesome icons are a open source, screen-reader friendly web font.
Spacing
Based on multiples of 8px for small, medium, and larger devices.
Buttons
Buttons to draw attention to important actions in light and dark theme.
Font
Public Sans, a strong neutral typeface designed for legibility.
Grid
Flexible mobile-first grid, by flexbox, based on 12 columns.
Accessibility
Focus state for users.


The following is a list of the current Veil mining software and pools, for those wishing to immediately participate in mining. Detailed instructions for their use will be posted soon.
Block explorers
- Mainnet — https://explorer.veil-project.com/
- Mainnet Backup — http://veil-explorer.codeofalltrades.com/
- Testnet — https://testnet.veil-project.com/


public interface VehicleDAO extends DAO<Vehicle>
| Modifier and Type | Method and Description |
|---|---|
Filter<Vehicle> |
afterProductionDate(java.time.LocalDate productionDate)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which are produced after the given date.
|
Filter<Vehicle> |
atLeastMileage(int mileage)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which have at least the given mileage.
|
Filter<Vehicle> |
atProductionDate(java.time.LocalDate productionDate)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which are produced at the given date.
|
Filter<Vehicle> |
beforeProductionDate(java.time.LocalDate productionDate)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which are produced before the given date.
|
Filter<Vehicle> |
byBrand(java.lang.String brandName)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which have the given brand.
|
Filter<Vehicle> |
byCustomer(Customer customer)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles in fleets owned by the given Customer.
|
Filter<Vehicle> |
byFleet(Fleet fleet)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles in the given fleet.
|
Filter<Vehicle> |
byLicensePlate(java.lang.String licensePlate)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which have the given licensePlate.
|
Filter<Vehicle> |
byModel(java.lang.String model)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which have the given model.
|
Filter<Vehicle> |
byType(VehicleType type)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which are the given type.
|
Filter<Vehicle> |
maxMileage(int mileage)
Returns a Filter to use in ListFiltered in this class, which returns all Vehicles which have the given mileage or less.
|
void |
validateVehicles(java.util.Collection<Vehicle> vehicles)
Checks if every vehicle in the collection uses the right constraints
|
void validateVehicles(java.util.Collection<Vehicle> vehicles) throws ConstraintViolationException
ConstraintViolationException
Filter<Vehicle> byBrand(java.lang.String brandName)
brandName
- The brand to use in the filterFilter<Vehicle> byModel(java.lang.String model)
model
- The model to use in the filterFilter<Vehicle> byLicensePlate(java.lang.String licensePlate)
licensePlate
- The licensePlate to use in the filterFilter<Vehicle> atProductionDate(java.time.LocalDate productionDate)
productionDate
- The productionDate to use in the filterFilter<Vehicle> beforeProductionDate(java.time.LocalDate productionDate)
productionDate
- The productionDate to use in the filterFilter<Vehicle> afterProductionDate(java.time.LocalDate productionDate)
productionDate
- The productionDate to use in the filterFilter<Vehicle> atLeastMileage(int mileage)
mileage
- The productionDate to use in the filterFilter<Vehicle> maxMileage(int mileage)
mileage
- The productionDate to use in the filterFilter<Vehicle> byType(VehicleType type)
type
- The type to use in the filterFilter<Vehicle> byFleet(Fleet fleet)
fleet
- The fleet to use in the filter


"x" "1" "MIYAGOSHI,M, HAYAKAWA,Y, NAGATA,M AND NAGAYAMA,T, ANALYSIS OF THESUBSIDIARY DYES OF LITHOL RUBINE B AND THEIR MUTAGENICITIES, EISEI KAGAKU36(2):133-138, 1990"


GET [project_url]/api/timestamp/:date_string?
A date string is valid if can be successfully parsed by new Date(date_string)
.
Note that the unix timestamp needs to be an integer (not a string) specifying milliseconds.
In our test we will use date strings compliant with ISO-8601 (e.g. "2016-11-20") because this will ensure an UTC timestamp.
new Date()
, i.e. the service uses the current timestamp.
{"unix": <date.getTime()>, "utc" : <date.toUTCString()> }
{"unix":<PHONE_NUMBER>000 ,"utc": "Sun, 20 Nov 2016 17:31:29 GMT"}
{"error" : "Invalid Date" }
.
Example Usage:
Example Output:
{"unix":1451001600000, "utc":"Fri, 25 Dec 2015 00:00:00 GMT"}


No objects in the knowledge base use this reference.
The following objects include the edited reference and will be updated automatically.


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US writer sues Trump for calling her sex assault claim a lie
US president denied ever meeting E Jean Carroll, who says Trump raped her in a dressing room of a department store.
An advice columnist who has accused President Donald Trump of raping her in a New York City department store dressing room in the 1990s has sued him, saying he defamed her by calling her a liar whom he had never even met.
E Jean Carroll's lawsuit, filed Monday in New York, said Trump "smeared her integrity, honesty and dignity - all in the national press" when he responded to her allegations, first broached in a New York magazine article this past June.
More:
-
US writer says Trump sexually assaulted her in mid-1990s
-
Women demand probe into alleged Trump sexual assaults
-
Sexual assault survivors tell Trump 'why I didn't report'
"Nobody is entitled to conceal acts of sexual assault behind a wall of defamatory falsehoods and deflections," Carroll's lawyer Roberta Kaplan wrote in the suit.
A message requesting comment was sent to a law firm that has represented Trump in other cases.

She is not the only one to sue over his denials. One such case, filed by Summer Zervos, a onetime contestant on his former reality show, The Apprentice, is ongoing in the same Manhattan courthouse where Carroll has filed her claim.
Trump poses in front of a swan fountain at the Mar-A-Lago estate, Palm Beach, Florida in 1996 [File: Getty Images]
Carroll said she bumped into the then-real estate developer in the high-end store Bergdorf Goodman in 1995 or 1996, and he asked her to help him pick out a gift for "a girl" and eventually suggested lingerie. He suggested Carroll try on a see-through bodysuit, she said, and after a joking exchange, they went into a dressing room.
She said Trump then pushed her against a wall, pulled down her tights and raped her as she struggled, eventually broke free and fled.
Carroll said there were no attendants in the dressing room area. She did not file a police report but said she did tell two journalist friends. Both have corroborated that they were told.
Trump said in June that Carroll was "totally lying", termed the accusation "fake news" and called her "not my type".
He also said he had never met her, though a 1987 photo shows him and Carroll in a photo with their spouses at the time.
"Give me a break," Trump said of the photo, noting it shows his back to the camera.
The suit said Trump harmed Carroll's reputation and career. It seeks unspecified damages.


Request ⇒ Response
trait EssentialAction extends
(RequestHeader) ⇒ Iteratee[Array[Byte], Result]
with Handler
case class Result(
header: ResponseHeader,
body: Enumerator[Array[Byte]],
connection: Connection = HttpConnection.KeepAlive
) extends Product with Serializable