Fill forward means if there is no data point for the current sample, LEAN uses the previous data point. Fill forward is the default data setting. To disable fill forward for a security, set the fillForward
argument to false when you create the security subscription.
qb.AddEquity("SPY", fillForward: false);
qb.AddEquity("SPY", fillForward=False)
When you request historical data, the History
method uses the fill forward setting of your security subscription. To get historical data with a different fill forward setting, pass a fillForward
argument to the History
method.
var history = qb.History(qb.Securities.Keys, qb.Time-TimeSpan.FromDays(10), qb.Time, fillForward: true);
history = qb.History(qb.Securities.Keys, qb.Time-timedelta(days=10), qb.Time, fillForward=True)


Victoria’s Secret won’t be putting on a show this year
NEW YORK, Nov 22 — The show will not, it transpires, be going on. That is, of course, the Victoria’s Secret Fashion Show.
The lingerie label’s parent company L Brands has announced that there will not be a 2019 edition of the annual extravaganza this holiday season.
“We think it’s important to evolve the marketing of Victoria’s Secret,” Stuart B. Burgdoerfer, chief financial officer and executive vice president of L Brands, is reported by WWD to have explained on a conference call with analysts yesterday. “There will be more to come as that continues to get evaluated.”
The big-budget show was widely regarded for years as one of the major moments in the fashion calendar, bringing together a cohort of the world’s hottest supermodels, lingerie models and in-house “angels” with music artists, decadent staging and elaborate costumes.
Over the years, stars such as Eva Herzigova, Irina Shayk, Gigi Hadid and Cara Delevingne have strutted their stuff on the brand’s catwalks, alongside household name angels such as Gisele Bundchen, Tyra Banks and Alessandra Ambrosio.
However, the spectacle has attracted criticism in recent years, with the 2018 event marred by backlash to comments its then Chief Marketing Officer Ed Razek made during a Vogue interview about the lack of trans women and plus-sized models in the production. — AFP-Relaxnews


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December 10
Seek ye first the kingdom of God, and his righteousness; and all these things shall be added unto you.
Matthew 6:33
Whenever Ken and I talk about living by faith, I know there are some people who think, "Oh, that's easy for you. You're preachers. You have it made!" And, in some ways, we do. We have it made because our calling demands that we give God our attention, and giving God your attention always brings success.
But we haven't always lived that way. In fact, the first time I ever saw Kenneth Copeland he was about as far from a preacher as I figured you could get. He flew planes and sang in nightclubs. As for me, I was a college girl who said she would never marry a preacher and who had never even heard about the new birth.
Right after we got married, Ken went into a business enterprise that we thought was going to make us rich. So I quit my job and went to work for this new company. Two weeks later it folded.
We ended up sleeping on a rented roll-away bed that sagged in the middle. We had a wrought-iron coffee table Ken made in high school and a black and white TV. Nothing else. No refrigerator. No stove. I cooked in my coffee pot and an electric skillet and used a cardboard box on the porch to keep our food cold.
We were flat broke. Unemployed. Deeply in debt. I had nowhere to go. No furniture. No nothing.
Then one day I picked up the Bible Ken's mother had given him for his birthday. In the front she'd written this verse, "Seek ye first the kingdom of God, and his righteousness; and all these things shall be added unto you." I turned and read Matthew 6. It said God cared for the birds. For the first time in my life it got into my heart that God cared where I was and what I was doing. I figured if He cared for birds, He cared for me! I knelt in that bare room and told Jesus that if He could do anything with my life, He could certainly have it. That's all I
remember saying.
I had no idea I'd just been born again. Two weeks later Ken found a new job. We moved to a new furnished apartment and bought a better car. In the midst of it all, something else happened--Ken got born again.
Don't worry if you don't "have it made." We certainly didn't when all this started. Just stick with God and let Him make you.
Make a decision in your heart to seek HIM first. Then all the other things will be added.
Scripture Reading: Psalm 128


Your name
Are you okay with your name being used in the game?
kevin albs> You don't have to travel alone
m to go
Created by Kevin Albertson for Ludum Dare 30


Select any of the series in our message archive to either watch the video cast or listen to the podcast. You can also download and subscribe to any of the podcasts that are available.


CHAIN
REACTION
Take your jewelry box in a fresh direction for
spring with a dose of sparkle and a shot of color.
“We picked a palette that reflects the colors of
the sea,” says Meghan, our jewelry designer.
“The turquoise hues feel so vivid, especially when
paired with bold gold chains.”
SHOP OUR ENTIRE
JEWELRY COLLECTION >
featuring our enameled frog collar necklace and color drop necklace
ONE NECKLACE,
THREE WAYS
How three girls from our New York offices
are making these spring blooms their own.
SEE MORE >
Please add<EMAIL_ADDRESS>to your address book to ensure our emails reach your inbox. If you received this email from a friend and would like to subscribe to our email list, please go to the following web address - http://e.jcrew.com/a/tBQ-974BgTeL6B8wczXNs5Lxi6P/sub-12?d_source=EMBW03579
To unsubscribe from the email list, please go to the following web address -<EMAIL_ADDRESS>J.Crew Customer Relations | One Ivy Crescent | Lynchburg, VA 24513-1001


|
Copyright 2013-01-06 Werner Randelshofer | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.monte.media.eightsvx.EightSVXAudioClip
public class EightSVXAudioClip
Represents an audio sample of type IFF 8SVX.
Supported audio formats:
8 bit linear and fibonacci encoded data samples.
All sample rates
Stereo and Mono
Unsupported features:
Attack and Release information is ignored.
Multi octave samples are not handled.
Known Issues
This class has been implemented with JDK 1.1 in mind. JDK 1.1 does not
have a public API for Sound. This class will thus work only on a small number
of Java VMS.
Poor sound qualitiy: All data is being converted to U-Law 8000 Hertz,
since this is the only kind of audio data that JDK 1.1 supports (As far as I know).
Stereo sound is converted to mono. As far as I know there is now stereo
support built in JDK 1.1.
| Field Summary | |
|---|---|
static int |
LEFT
|
static int |
RIGHT
|
static int |
S_CMP_FIB_DELTA
|
static int |
S_CMP_NONE
|
static int |
STEREO
|
| Fields inherited from interface org.monte.media.eightsvx.LoopableAudioClip |
|---|
LOOP_CONTINUOUSLY |
| Constructor Summary | |
|---|---|
EightSVXAudioClip()
|
| Method Summary | |
|---|---|
static double |
computeStereoVolumeCorrection(byte[] stereo)
This finds the volume correction needed when converting this stereo sample to mono. |
LoopableAudioClip |
createAudioClip()
|
LoopableAudioClip |
createAudioClip(int sampleRate,
int volume,
float pan)
|
LoopableAudioClip |
createJDK10AudioClip(int sampleRate)
|
LoopableAudioClip |
createJDK13AudioClip(int sampleRate,
int volume,
float pan)
|
byte[] |
get8SVXBody()
|
protected java.lang.String |
getAuthor()
|
protected java.lang.String |
getCopyright()
|
int |
getCtOctave()
|
protected java.lang.String |
getName()
|
long |
getOneShotHiSamples()
|
protected java.lang.String |
getRemark()
|
long |
getRepeatHiSamples()
|
int |
getSampleRate()
|
long |
getSamplesPerHiCycle()
|
long |
getSampleType()
|
int |
getSCompression()
|
int |
getVolume()
|
static byte[] |
linear16ToULaw(int[] linear16)
Converts a buffer of signed 8bit samples to uLaw. |
static byte[] |
linear8StereoToMono(byte[] stereo,
double volumeCorrection)
This converts a stereo sample to mono. |
static byte[] |
linear8ToULaw(byte[] linear8)
Halfband lowpass. |
void |
loop()
|
void |
loop(int count)
Starts looping playback from the current position. |
void |
play()
|
void |
prepare()
Make this clip ready for playback. |
static byte[] |
resample(byte[] input,
int inputSampleRate,
int outputSampleRate)
Resamples audio data to match the given sample rate and applies a lowpass filter if necessary. |
void |
set8SVXBody(byte[] value)
|
protected void |
setAuthor(java.lang.String value)
|
protected void |
setCopyright(java.lang.String value)
|
void |
setCtOctave(int value)
|
protected void |
setName(java.lang.String value)
|
void |
setOneShotHiSamples(long value)
|
protected void |
setRemark(java.lang.String value)
|
void |
setRepeatHiSamples(long value)
|
void |
setSampleRate(int value)
|
void |
setSamplesPerHiCycle(long value)
|
void |
setSampleType(int value)
|
void |
setSCompression(int value)
|
void |
setVolume(int value)
|
void |
stop()
|
java.lang.String |
toString()
|
static byte[] |
unpackFibonacciDeltaCompression(byte[] source)
Unpack Fibonacci-delta encoded data from n byte source buffer into 2*(n-2) byte dest buffer. |
static void |
writeSunAudioHeader(java.io.OutputStream outfile,
int dataSize,
int sampleRate,
int sampleType)
Write a "standard" sun header. |
static void |
wrulong(java.io.OutputStream outfile,
int ulong)
Write an unsigned long (Motorola 68000 CPU format). |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final int S_CMP_NONE
public static final int S_CMP_FIB_DELTA
public static final int RIGHT
public static final int LEFT
public static final int STEREO
| Constructor Detail |
|---|
public EightSVXAudioClip()
| Method Detail |
|---|
protected void setName(java.lang.String value)
protected java.lang.String getName()
protected void setAuthor(java.lang.String value)
protected java.lang.String getAuthor()
protected void setCopyright(java.lang.String value)
protected java.lang.String getCopyright()
protected void setRemark(java.lang.String value)
protected java.lang.String getRemark()
public void set8SVXBody(byte[] value)
public byte[] get8SVXBody()
public void setOneShotHiSamples(long value)
public void setRepeatHiSamples(long value)
public void setSamplesPerHiCycle(long value)
public void setSampleType(int value)
public void setSampleRate(int value)
public void setCtOctave(int value)
public void setSCompression(int value)
public void setVolume(int value)
public long getOneShotHiSamples()
public long getRepeatHiSamples()
public long getSamplesPerHiCycle()
public long getSampleType()
public int getSampleRate()
public int getCtOctave()
public int getVolume()
public int getSCompression()
public java.lang.String toString()
toString
in class java.lang.Object
public LoopableAudioClip createAudioClip()
public LoopableAudioClip createAudioClip(int sampleRate, int volume, float pan)
public LoopableAudioClip createJDK13AudioClip(int sampleRate, int volume, float pan)
public LoopableAudioClip createJDK10AudioClip(int sampleRate)
public void play()
play
in interface java.applet.AudioClip
public void loop()
loop
in interface java.applet.AudioClip
public void stop()
stop
in interface java.applet.AudioClip
public void prepare()
public static double computeStereoVolumeCorrection(byte[] stereo)
stereo
- Stereo data linear 8. The first half of the
array contains the sound for the left speaker,
the second half the sound for the right speaker.
public static byte[] linear8StereoToMono(byte[] stereo, double volumeCorrection)
stereo
- Stereo data linear 8. The first half of the
array contains the sound for the left speaker,
the second half the sound for the right speaker.volumeCorrection
- Combining the two channels into one increases the
sound volume. This can exceed the maximum volume
that can be represented by the linear8 sample model.
To avoid this, the volume must be corrected to fit
into the sample model.public static byte[] resample(byte[] input, int inputSampleRate, int outputSampleRate)
input
- Linear8 encoded audio data.inputSampleRate
- The sample rate of the input dataoutputSampleRate
- The sample rate of the output data.
public static byte[] linear8ToULaw(byte[] linear8)
public static byte[] linear16ToULaw(int[] linear16)
public static byte[] unpackFibonacciDeltaCompression(byte[] source)
public static void writeSunAudioHeader(java.io.OutputStream outfile, int dataSize, int sampleRate, int sampleType) throws java.io.IOException
sampleType
- Specify STEREO, LEFT or RIGHT.
java.io.IOException
public static void wrulong(java.io.OutputStream outfile, int ulong) throws java.io.IOException
java.io.IOException
public void loop(int count)
count
times, and finally continue playback to the end of
the clip.
If the current position when this method is invoked is greater than the loop end point, playback simply continues to the end of the clip without looping.
A count
value of 0 indicates that any current looping should
cease and playback should continue to the end of the clip. The behavior
is undefined when this method is invoked with any other value during a
loop operation.
If playback is stopped during looping, the current loop status is cleared; the behavior of subsequent loop and start requests is not affected by an interrupted loop operation.
loop
in interface LoopableAudioClip
count
- the number of times playback should loop back from the
loop's end position to the loop's start position, or
LoopableAudioClip.LOOP_CONTINUOUSLY
to indicate that looping should
continue until interrupted
|
Copyright 2013-01-06 Werner Randelshofer | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Welcome Back
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# The following comment should be removed at some point in the future. # mypy: strict-optional=False from __future__ import absolute_import import logging from collections import OrderedDict from pip._vendor.packaging.utils import canonicalize_name from pip._internal import pep425tags from pip._internal.exceptions import InstallationError from pip._internal.models.wheel import Wheel from pip._internal.utils.logging import indent_log from pip._internal.utils.typing import MYPY_CHECK_RUNNING if MYPY_CHECK_RUNNING: from typing import Dict, Iterable, List, Optional, Tuple from pip._internal.req.req_install import InstallRequirement logger = logging.getLogger(__name__) class RequirementSet(object): def __init__(self, check_supported_wheels=True): # type: (bool) -> None """Create a RequirementSet. """ self.requirements = OrderedDict() # type: Dict[str, InstallRequirement] # noqa: E501 self.check_supported_wheels = check_supported_wheels self.unnamed_requirements = [] # type: List[InstallRequirement] self.successfully_downloaded = [] # type: List[InstallRequirement] self.reqs_to_cleanup = [] # type: List[InstallRequirement] def __str__(self): # type: () -> str requirements = sorted( (req for req in self.requirements.values() if not req.comes_from), key=lambda req: canonicalize_name(req.name), ) return ' '.join(str(req.req) for req in requirements) def __repr__(self): # type: () -> str requirements = sorted( self.requirements.values(), key=lambda req: canonicalize_name(req.name), ) format_string = '<{classname} object; {count} requirement(s): {reqs}>' return format_string.format( classname=self.__class__.__name__, count=len(requirements), reqs=', '.join(str(req.req) for req in requirements), ) def add_unnamed_requirement(self, install_req): # type: (InstallRequirement) -> None assert not install_req.name self.unnamed_requirements.append(install_req) def add_named_requirement(self, install_req): # type: (InstallRequirement) -> None assert install_req.name project_name = canonicalize_name(install_req.name) self.requirements[project_name] = install_req def add_requirement( self, install_req, # type: InstallRequirement parent_req_name=None, # type: Optional[str] extras_requested=None # type: Optional[Iterable[str]] ): # type: (...) -> Tuple[List[InstallRequirement], Optional[InstallRequirement]] # noqa: E501 """Add install_req as a requirement to install. :param parent_req_name: The name of the requirement that needed this added. The name is used because when multiple unnamed requirements resolve to the same name, we could otherwise end up with dependency links that point outside the Requirements set. parent_req must already be added. Note that None implies that this is a user supplied requirement, vs an inferred one. :param extras_requested: an iterable of extras used to evaluate the environment markers. :return: Additional requirements to scan. That is either [] if the requirement is not applicable, or [install_req] if the requirement is applicable and has just been added. """ # If the markers do not match, ignore this requirement. if not install_req.match_markers(extras_requested): logger.info( "Ignoring %s: markers '%s' don't match your environment", install_req.name, install_req.markers, ) return [], None # If the wheel is not supported, raise an error. # Should check this after filtering out based on environment markers to # allow specifying different wheels based on the environment/OS, in a # single requirements file. if install_req.link and install_req.link.is_wheel: wheel = Wheel(install_req.link.filename) tags = pep425tags.get_supported() if (self.check_supported_wheels and not wheel.supported(tags)): raise InstallationError( "%s is not a supported wheel on this platform." % wheel.filename ) # This next bit is really a sanity check. assert install_req.is_direct == (parent_req_name is None), ( "a direct req shouldn't have a parent and also, " "a non direct req should have a parent" ) # Unnamed requirements are scanned again and the requirement won't be # added as a dependency until after scanning. if not install_req.name: self.add_unnamed_requirement(install_req) return [install_req], None try: existing_req = self.get_requirement(install_req.name) except KeyError: existing_req = None has_conflicting_requirement = ( parent_req_name is None and existing_req and not existing_req.constraint and existing_req.extras == install_req.extras and existing_req.req.specifier != install_req.req.specifier ) if has_conflicting_requirement: raise InstallationError( "Double requirement given: %s (already in %s, name=%r)" % (install_req, existing_req, install_req.name) ) # When no existing requirement exists, add the requirement as a # dependency and it will be scanned again after. if not existing_req: self.add_named_requirement(install_req) # We'd want to rescan this requirement later return [install_req], install_req # Assume there's no need to scan, and that we've already # encountered this for scanning. if install_req.constraint or not existing_req.constraint: return [], existing_req does_not_satisfy_constraint = ( install_req.link and not ( existing_req.link and install_req.link.path == existing_req.link.path ) ) if does_not_satisfy_constraint: self.reqs_to_cleanup.append(install_req) raise InstallationError( "Could not satisfy constraints for '%s': " "installation from path or url cannot be " "constrained to a version" % install_req.name, ) # If we're now installing a constraint, mark the existing # object for real installation. existing_req.constraint = False existing_req.extras = tuple(sorted( set(existing_req.extras) | set(install_req.extras) )) logger.debug( "Setting %s extras to: %s", existing_req, existing_req.extras, ) # Return the existing requirement for addition to the parent and # scanning again. return [existing_req], existing_req def has_requirement(self, name): # type: (str) -> bool project_name = canonicalize_name(name) return ( project_name in self.requirements and not self.requirements[project_name].constraint ) def get_requirement(self, name): # type: (str) -> InstallRequirement project_name = canonicalize_name(name) if project_name in self.requirements: return self.requirements[project_name] raise KeyError("No project with the name %r" % name) def cleanup_files(self): # type: () -> None """Clean up files, remove builds.""" logger.debug('Cleaning up...') with indent_log(): for req in self.reqs_to_cleanup: req.remove_temporary_source()


The aqml
What it is
AQML is a mixed Python/Fortran/C++ package, intends to simulate quantum chemistry problems through the use of amons — the fundamental building blocks of larger systems (such as protein, solid).
Features
Amons selection algorithm: automatic sampling of training set that are most representative for the query
composition and size-independent
currently limited to molecule/solid with explicit graph (w/wo periodic boundary condition)
Molecular representation
Parameter-free global SLATM (Spectrum of London and Axilrod-Teller-Muto potential) representations
global SLATM and its local (atomic) counterpart aSLATM.
A new pair-wise version of aSLATM is available, dealing favorably with dataset involving many elements.
Bond, Angle ML (BAML) representation, including up to 4-body potential (UFF inspired)
Graph-based representation (coming soon…)
Machine learning
KRR and multi-fidelity KRR
Deep neural network potential (under developement…)
Automatic workflow of generating quantum chemical reference data. The following programs are currently supported: - G09 - ORCA4 - MOLPRO - CASINO (a QMC package)
Purpose of aqml
training set selection
representation design
ML algorithm


Requests and Responses¶
Scrapy uses Request
and Response
objects for crawling web
sites.
Typically, Request
objects are generated in the spiders and pass
across the system until they reach the Downloader, which executes the request
and returns a Response
object which travels back to the spider that
issued the request.
Both Request
and Response
classes have subclasses which add
functionality not required in the base classes. These are described
below in Request subclasses and
Response subclasses.
Request objects¶
-
class
scrapy.http.
Request
(url[, callback, method='GET', headers, body, cookies, meta, encoding='utf-8', priority=0, dont_filter=False, errback, flags])¶ A
Request
object represents an HTTP request, which is usually generated in the Spider and executed by the Downloader, and thus generating aResponse
.Parameters: - url (string) – the URL of this request
- callback (callable) – the function that will be called with the response of this
request (once its downloaded) as its first parameter. For more information
see Passing additional data to callback functions below.
If a Request doesn’t specify a callback, the spider’s
parse()
method will be used. Note that if exceptions are raised during processing, errback is called instead. - method (string) – the HTTP method of this request. Defaults to
'GET'
. - meta (dict) – the initial values for the
Request.meta
attribute. If given, the dict passed in this parameter will be shallow copied. - body (str or unicode) – the request body. If a
unicode
is passed, then it’s encoded tostr
using the encoding passed (which defaults toutf-8
). Ifbody
is not given, an empty string is stored. Regardless of the type of this argument, the final value stored will be astr
(neverunicode
orNone
). - headers (dict) – the headers of this request. The dict values can be strings
(for single valued headers) or lists (for multi-valued headers). If
None
is passed as value, the HTTP header will not be sent at all. - cookies (dict or list) –
the request cookies. These can be sent in two forms.
- Using a dict:
request_with_cookies = Request(url="http://www.example.com", cookies={'currency': 'USD', 'country': 'UY'})
- Using a list of dicts:
request_with_cookies = Request(url="http://www.example.com", cookies=[{'name': 'currency', 'value': 'USD', 'domain': 'example.com', 'path': '/currency'}])
The latter form allows for customizing the
domain
andpath
attributes of the cookie. This is only useful if the cookies are saved for later requests.When some site returns cookies (in a response) those are stored in the cookies for that domain and will be sent again in future requests. That’s the typical behaviour of any regular web browser. However, if, for some reason, you want to avoid merging with existing cookies you can instruct Scrapy to do so by setting the
dont_merge_cookies
key to True in theRequest.meta
.Example of request without merging cookies:
request_with_cookies = Request(url="http://www.example.com", cookies={'currency': 'USD', 'country': 'UY'}, meta={'dont_merge_cookies': True})
For more info see CookiesMiddleware.
- Using a dict:
- encoding (string) – the encoding of this request (defaults to
'utf-8'
). This encoding will be used to percent-encode the URL and to convert the body tostr
(if given asunicode
). - priority (int) – the priority of this request (defaults to
0
). The priority is used by the scheduler to define the order used to process requests. Requests with a higher priority value will execute earlier. Negative values are allowed in order to indicate relatively low-priority. - dont_filter (boolean) – indicates that this request should not be filtered by
the scheduler. This is used when you want to perform an identical
request multiple times, to ignore the duplicates filter. Use it with
care, or you will get into crawling loops. Default to
False
. - errback (callable) – a function that will be called if any exception was raised while processing the request. This includes pages that failed with 404 HTTP errors and such. It receives a Twisted Failure instance as first parameter. For more information, see Using errbacks to catch exceptions in request processing below.
- flags (list) – Flags sent to the request, can be used for logging or similar purposes.
-
url
¶ A string containing the URL of this request. Keep in mind that this attribute contains the escaped URL, so it can differ from the URL passed in the constructor.
This attribute is read-only. To change the URL of a Request use
replace()
.
-
method
¶ A string representing the HTTP method in the request. This is guaranteed to be uppercase. Example:
"GET"
,"POST"
,"PUT"
, etc
-
headers
¶ A dictionary-like object which contains the request headers.
-
body
¶ A str that contains the request body.
This attribute is read-only. To change the body of a Request use
replace()
.
-
meta
¶ A dict that contains arbitrary metadata for this request. This dict is empty for new Requests, and is usually populated by different Scrapy components (extensions, middlewares, etc). So the data contained in this dict depends on the extensions you have enabled.
See Request.meta special keys for a list of special meta keys recognized by Scrapy.
This dict is shallow copied when the request is cloned using the
copy()
orreplace()
methods, and can also be accessed, in your spider, from theresponse.meta
attribute.
-
copy
()¶ Return a new Request which is a copy of this Request. See also: Passing additional data to callback functions.
-
replace
([url, method, headers, body, cookies, meta, encoding, dont_filter, callback, errback])¶ Return a Request object with the same members, except for those members given new values by whichever keyword arguments are specified. The attribute
Request.meta
is copied by default (unless a new value is given in themeta
argument). See also Passing additional data to callback functions.
Passing additional data to callback functions¶
The callback of a request is a function that will be called when the response
of that request is downloaded. The callback function will be called with the
downloaded Response
object as its first argument.
Example:
def parse_page1(self, response):
return scrapy.Request("http://www.example.com/some_page.html",
callback=self.parse_page2)
def parse_page2(self, response):
# this would log http://www.example.com/some_page.html
self.logger.info("Visited %s", response.url)
In some cases you may be interested in passing arguments to those callback
functions so you can receive the arguments later, in the second callback. You
can use the Request.meta
attribute for that.
Here’s an example of how to pass an item using this mechanism, to populate different fields from different pages:
def parse_page1(self, response):
item = MyItem()
item['main_url'] = response.url
request = scrapy.Request("http://www.example.com/some_page.html",
callback=self.parse_page2)
request.meta['item'] = item
yield request
def parse_page2(self, response):
item = response.meta['item']
item['other_url'] = response.url
yield item
Using errbacks to catch exceptions in request processing¶
The errback of a request is a function that will be called when an exception is raise while processing it.
It receives a Twisted Failure instance as first parameter and can be used to track connection establishment timeouts, DNS errors etc.
Here’s an example spider logging all errors and catching some specific errors if needed:
import scrapy
from scrapy.spidermiddlewares.httperror import HttpError
from twisted.internet.error import DNSLookupError
from twisted.internet.error import TimeoutError, TCPTimedOutError
class ErrbackSpider(scrapy.Spider):
name = "errback_example"
start_urls = [
"http://www.httpbin.org/", # HTTP 200 expected
"http://www.httpbin.org/status/404", # Not found error
"http://www.httpbin.org/status/500", # server issue
"http://www.httpbin.org:12345/", # non-responding host, timeout expected
"http://www.httphttpbinbin.org/", # DNS error expected
]
def start_requests(self):
for u in self.start_urls:
yield scrapy.Request(u, callback=self.parse_httpbin,
errback=self.errback_httpbin,
dont_filter=True)
def parse_httpbin(self, response):
self.logger.info('Got successful response from {}'.format(response.url))
# do something useful here...
def errback_httpbin(self, failure):
# log all failures
self.logger.error(repr(failure))
# in case you want to do something special for some errors,
# you may need the failure's type:
if failure.check(HttpError):
# these exceptions come from HttpError spider middleware
# you can get the non-200 response
response = failure.value.response
self.logger.error('HttpError on %s', response.url)
elif failure.check(DNSLookupError):
# this is the original request
request = failure.request
self.logger.error('DNSLookupError on %s', request.url)
elif failure.check(TimeoutError, TCPTimedOutError):
request = failure.request
self.logger.error('TimeoutError on %s', request.url)
Request.meta special keys¶
The Request.meta
attribute can contain any arbitrary data, but there
are some special keys recognized by Scrapy and its built-in extensions.
Those are:
dont_redirect
dont_retry
handle_httpstatus_list
handle_httpstatus_all
dont_merge_cookies
cookiejar
dont_cache
redirect_urls
bindaddress
dont_obey_robotstxt
download_timeout
download_maxsize
download_latency
download_fail_on_dataloss
proxy
ftp_user
(SeeFTP_USER
for more info)ftp_password
(SeeFTP_PASSWORD
for more info)referrer_policy
max_retry_times
bindaddress¶
The IP of the outgoing IP address to use for the performing the request.
download_timeout¶
The amount of time (in secs) that the downloader will wait before timing out.
See also: DOWNLOAD_TIMEOUT
.
download_latency¶
The amount of time spent to fetch the response, since the request has been started, i.e. HTTP message sent over the network. This meta key only becomes available when the response has been downloaded. While most other meta keys are used to control Scrapy behavior, this one is supposed to be read-only.
download_fail_on_dataloss¶
Whether or not to fail on broken responses. See:
DOWNLOAD_FAIL_ON_DATALOSS
.
max_retry_times¶
The meta key is used set retry times per request. When initialized, the
max_retry_times
meta key takes higher precedence over the
RETRY_TIMES
setting.
Request subclasses¶
Here is the list of built-in Request
subclasses. You can also subclass
it to implement your own custom functionality.
FormRequest objects¶
The FormRequest class extends the base Request
with functionality for
dealing with HTML forms. It uses lxml.html forms to pre-populate form
fields with form data from Response
objects.
-
class
scrapy.http.
FormRequest
(url[, formdata, ...])¶ The
FormRequest
class adds a new argument to the constructor. The remaining arguments are the same as for theRequest
class and are not documented here.Parameters: formdata (dict or iterable of tuples) – is a dictionary (or iterable of (key, value) tuples) containing HTML Form data which will be url-encoded and assigned to the body of the request. The
FormRequest
objects support the following class method in addition to the standardRequest
methods:-
classmethod
from_response
(response[, formname=None, formid=None, formnumber=0, formdata=None, formxpath=None, formcss=None, clickdata=None, dont_click=False, ...])¶ Returns a new
FormRequest
object with its form field values pre-populated with those found in the HTML<form>
element contained in the given response. For an example see Using FormRequest.from_response() to simulate a user login.The policy is to automatically simulate a click, by default, on any form control that looks clickable, like a
<input type="submit">
. Even though this is quite convenient, and often the desired behaviour, sometimes it can cause problems which could be hard to debug. For example, when working with forms that are filled and/or submitted using javascript, the defaultfrom_response()
behaviour may not be the most appropriate. To disable this behaviour you can set thedont_click
argument toTrue
. Also, if you want to change the control clicked (instead of disabling it) you can also use theclickdata
argument.Caution
Using this method with select elements which have leading or trailing whitespace in the option values will not work due to a bug in lxml, which should be fixed in lxml 3.8 and above.
Parameters: - response (
Response
object) – the response containing a HTML form which will be used to pre-populate the form fields - formname (string) – if given, the form with name attribute set to this value will be used.
- formid (string) – if given, the form with id attribute set to this value will be used.
- formxpath (string) – if given, the first form that matches the xpath will be used.
- formcss (string) – if given, the first form that matches the css selector will be used.
- formnumber (integer) – the number of form to use, when the response contains
multiple forms. The first one (and also the default) is
0
. - formdata (dict) – fields to override in the form data. If a field was
already present in the response
<form>
element, its value is overridden by the one passed in this parameter. If a value passed in this parameter isNone
, the field will not be included in the request, even if it was present in the response<form>
element. - clickdata (dict) – attributes to lookup the control clicked. If it’s not
given, the form data will be submitted simulating a click on the
first clickable element. In addition to html attributes, the control
can be identified by its zero-based index relative to other
submittable inputs inside the form, via the
nr
attribute. - dont_click (boolean) – If True, the form data will be submitted without clicking in any element.
The other parameters of this class method are passed directly to the
FormRequest
constructor.New in version 0.10.3: The
formname
parameter.New in version 0.17: The
formxpath
parameter.New in version 1.1.0: The
formcss
parameter.New in version 1.1.0: The
formid
parameter.- response (
-
classmethod
Request usage examples¶
Using FormRequest to send data via HTTP POST¶
If you want to simulate a HTML Form POST in your spider and send a couple of
key-value fields, you can return a FormRequest
object (from your
spider) like this:
return [FormRequest(url="http://www.example.com/post/action",
formdata={'name': 'John Doe', 'age': '27'},
callback=self.after_post)]
Using FormRequest.from_response() to simulate a user login¶
It is usual for web sites to provide pre-populated form fields through <input
type="hidden">
elements, such as session related data or authentication
tokens (for login pages). When scraping, you’ll want these fields to be
automatically pre-populated and only override a couple of them, such as the
user name and password. You can use the FormRequest.from_response()
method for this job. Here’s an example spider which uses it:
import scrapy
class LoginSpider(scrapy.Spider):
name = 'example.com'
start_urls = ['http://www.example.com/users/login.php']
def parse(self, response):
return scrapy.FormRequest.from_response(
response,
formdata={'username': 'john', 'password': 'secret'},
callback=self.after_login
)
def after_login(self, response):
# check login succeed before going on
if "authentication failed" in response.body:
self.logger.error("Login failed")
return
# continue scraping with authenticated session...
Response objects¶
-
class
scrapy.http.
Response
(url[, status=200, headers=None, body=b'', flags=None, request=None])¶ A
Response
object represents an HTTP response, which is usually downloaded (by the Downloader) and fed to the Spiders for processing.Parameters: - url (string) – the URL of this response
- status (integer) – the HTTP status of the response. Defaults to
200
. - headers (dict) – the headers of this response. The dict values can be strings (for single valued headers) or lists (for multi-valued headers).
- body (bytes) – the response body. To access the decoded text as str (unicode
in Python 2) you can use
response.text
from an encoding-aware Response subclass, such asTextResponse
. - flags (list) – is a list containing the initial values for the
Response.flags
attribute. If given, the list will be shallow copied. - request (
Request
object) – the initial value of theResponse.request
attribute. This represents theRequest
that generated this response.
-
url
¶ A string containing the URL of the response.
This attribute is read-only. To change the URL of a Response use
replace()
.
-
status
¶ An integer representing the HTTP status of the response. Example:
200
,404
.
-
headers
¶ A dictionary-like object which contains the response headers. Values can be accessed using
get()
to return the first header value with the specified name orgetlist()
to return all header values with the specified name. For example, this call will give you all cookies in the headers:response.headers.getlist('Set-Cookie')
-
body
¶ The body of this Response. Keep in mind that Response.body is always a bytes object. If you want the unicode version use
TextResponse.text
(only available inTextResponse
and subclasses).This attribute is read-only. To change the body of a Response use
replace()
.
-
request
¶ The
Request
object that generated this response. This attribute is assigned in the Scrapy engine, after the response and the request have passed through all Downloader Middlewares. In particular, this means that:- HTTP redirections will cause the original request (to the URL before redirection) to be assigned to the redirected response (with the final URL after redirection).
- Response.request.url doesn’t always equal Response.url
- This attribute is only available in the spider code, and in the
Spider Middlewares, but not in
Downloader Middlewares (although you have the Request available there by
other means) and handlers of the
response_downloaded
signal.
-
meta
¶ A shortcut to the
Request.meta
attribute of theResponse.request
object (ie.self.request.meta
).Unlike the
Response.request
attribute, theResponse.meta
attribute is propagated along redirects and retries, so you will get the originalRequest.meta
sent from your spider.See also
Request.meta
attribute
-
flags
¶ A list that contains flags for this response. Flags are labels used for tagging Responses. For example: ‘cached’, ‘redirected’, etc. And they’re shown on the string representation of the Response (__str__ method) which is used by the engine for logging.
-
copy
()¶ Returns a new Response which is a copy of this Response.
-
replace
([url, status, headers, body, request, flags, cls])¶ Returns a Response object with the same members, except for those members given new values by whichever keyword arguments are specified. The attribute
Response.meta
is copied by default.
-
urljoin
(url)¶ Constructs an absolute url by combining the Response’s
url
with a possible relative url.This is a wrapper over urlparse.urljoin, it’s merely an alias for making this call:
urlparse.urljoin(response.url, url)
Response subclasses¶
Here is the list of available built-in Response subclasses. You can also subclass the Response class to implement your own functionality.
TextResponse objects¶
-
class
scrapy.http.
TextResponse
(url[, encoding[, ...]])¶ TextResponse
objects adds encoding capabilities to the baseResponse
class, which is meant to be used only for binary data, such as images, sounds or any media file.TextResponse
objects support a new constructor argument, in addition to the baseResponse
objects. The remaining functionality is the same as for theResponse
class and is not documented here.Parameters: encoding (string) – is a string which contains the encoding to use for this response. If you create a TextResponse
object with a unicode body, it will be encoded using this encoding (remember the body attribute is always a string). Ifencoding
isNone
(default value), the encoding will be looked up in the response headers and body instead.TextResponse
objects support the following attributes in addition to the standardResponse
ones:-
text
¶ Response body, as unicode.
The same as
response.body.decode(response.encoding)
, but the result is cached after the first call, so you can accessresponse.text
multiple times without extra overhead.Note
unicode(response.body)
is not a correct way to convert response body to unicode: you would be using the system default encoding (typically ascii) instead of the response encoding.
-
encoding
¶ A string with the encoding of this response. The encoding is resolved by trying the following mechanisms, in order:
- the encoding passed in the constructor encoding argument
- the encoding declared in the Content-Type HTTP header. If this encoding is not valid (ie. unknown), it is ignored and the next resolution mechanism is tried.
- the encoding declared in the response body. The TextResponse class
doesn’t provide any special functionality for this. However, the
HtmlResponse
andXmlResponse
classes do. - the encoding inferred by looking at the response body. This is the more fragile method but also the last one tried.
-
selector
¶ A
Selector
instance using the response as target. The selector is lazily instantiated on first access.
TextResponse
objects support the following methods in addition to the standardResponse
ones:-
xpath
(query)¶ A shortcut to
TextResponse.selector.xpath(query)
:response.xpath('//p')
-
css
(query)¶ A shortcut to
TextResponse.selector.css(query)
:response.css('p')
-
HtmlResponse objects¶
-
class
scrapy.http.
HtmlResponse
(url[, ...])¶ The
HtmlResponse
class is a subclass ofTextResponse
which adds encoding auto-discovering support by looking into the HTML meta http-equiv attribute. SeeTextResponse.encoding
.
XmlResponse objects¶
-
class
scrapy.http.
XmlResponse
(url[, ...])¶ The
XmlResponse
class is a subclass ofTextResponse
which adds encoding auto-discovering support by looking into the XML declaration line. SeeTextResponse.encoding
.


Edit Medication
Medication ID:
Brand Name:
Generic Name:
Drug Action:
Controlled?
Blood Thinner?
Save
Return to Medication Manager


As CSV
Commissioners Report
Project : {{controller.reportData.additional.project}}
Location : {{controller.reportData.additional.location}}
Start date : {{controller.reportData.additional.startDate|date:'dd MMM yyyy'}}
End date : {{controller.reportData.additional.endDate|date:'dd MMM yyyy'}}
{{controller.reportData.additional.clientsActive}} active clients
{{controller.reportData.additional.clientsAssessed}} clients assessed
{{controller.reportData.additional.clientsDischarged}} clients discharged
|
Assessment |
Current |
Discharge |
| Average {{row.theme}} score |
{{row.assessmentScore}} |
{{row.currentScore}} |
{{row.dischargeScore}} |
|
Assessment |
Current |
Discharge |
| Average number of {{row.theme}} issues |
{{row.assessmentIssues}} |
{{row.currentIssues}} |
{{row.dischargeIssues}} |
Clients with improved {{row.theme}} score : {{row.percentage}}%
Clients with reduced number of {{row.theme}} issues : {{row.reduced}}


Free: {{mnCtl.dbPathTotal}}
Free: {{mnCtl.indexPathTotal}}
Free: {{mnCtl.eventingPathTotal}}
Free: {{mnCtl['cbasDirsTotal' + $index]}}


That creates an intermediate printersitefile to contain definitions for horizontal navigation bars created out of the information for the access tree as given in the original sitefile. Those horizontal bars reflect the sect/subsect relations in a way most usable form for being navigated with a text mode browser (e.g. lynx) - in text mode the same "printerfriendly" page looks slightly different:
textmode-example.print.html
|
|
Note how there are little squares in the graphical view (if you look at
this page with a graphical browser) that will be replaced with some alt-texts
when using a textmode browser. These title-texts/alt-texts originally hint
for the sect/subsect relation (section
to topics:
to pages:
) but the first entry is slightly different
in textmode - it is named go text:
and the hot
link under it will actually jump down to right after the
header navigation block (here: jumping to lorem ipsum heading).
That variant is recommended by WAI texts
to help blind people to read the text with a text-to-speech machine
or a braille terminal i.e. purely linear starting with the first word
on the page. There it is best to have a first hotlink on the page that
should help to skip down to the main body text, and it should bear a caption
saying just that (like "skip down to text"). It is hinted to put it under
an invisible image so the graphical view representation is not spoiled
by the down-to-text hint. Actually I hope that "go text:" is identifying
this functionality as well. Technically, the hot link under "go text:"
skips to "#."
- as we have generated a little html anchor in
the print.html text as
marking the end of the header navigation block.
The "go text:" is the replacment for the img-square of the first
navigation line (for sections). The hotlink under the second img-square
(replaced by "topics:" in the text mode view) points back to the normal
sitefile representation for colored graphical browsers. It is the only
backlink to the original sitefile representation. On return it would be
best if there is a link to the text mode version in the graphical
sitefile represention. And there it is advisable to give it the
very same look of the (mksite.sh) generated little img-squares in the
print.html view. That's what the cut-n-paste text at the top of this
page is showing - to make a little
with
no "src=" and size of 8x8. The very same thing generated into the
"*.print.html" header block for each sect/subsect navigation.
To expand on it, in the normal graphical sitefile representation you
should use two text replacement around the hotlink to the
"$printerfriendly" version. - The alt-text replacement of the

tag is only seen with text mode browsers,
so we let it read as "(go to) printer / text mode version"
(it is a hot link by the surrounding
).
For the surrounding href we set a "title=" attribute however - modern
browsers will present it as a little (yellow) popup text when
hovering the mouse pointer over it. Here we set the hint for a
functionality most useful to people with graphical browsers, it
says "(go to) printer friendly version". That's because
the generated "*.print.html" has less colors and no big shadowed
navigation bar.
Note that our printerfriendly mode is clever enough to replace all hrefs in the header lines and the body text with hrefs to the "*.print.html" version generated. So when all your crafted htm(l) files are listed in the sitefile then a user with a text mode browser will never errornously leave the text mode oriented mode when clicking on a (website internal) hotlink. It will always end on the printerfriendly "*.print.html" variant.
textmode-example.html
| project | features | examples | links | |
|
project - navlist - items | lorem ipsum |
|


| addidoltogroup |
Adds idol to group. |
%addidoltogroup (idol id) (group id) |
|
| addinteraction |
Add a gif/photo to an interaction (ex: slap,kiss,lick,hug) |
%addinteraction (interaction) (url,url) |
|
| addstatus |
Add a playing status to Irene. |
%addstatus (status) |
|
| botban |
Bans a user from Irene. |
%botban (user id) |
|
| botunban |
UnBans a user from Irene. |
%botunban (user id) |
|
| botwarn |
Warns a user from Irene's DMs |
%botwarn (user id) (reason) |
|
| closedm |
Closes a DM either by the User ID or by the current channel. |
%closedm (user id) |
|
| createdm |
Create a DM with a user with the bot as a middle man. One user per mod channel. |
%createdm (user id) |
|
| deletegroup |
Deletes a group. |
%deletegroup (group id) |
removegroup |
| deleteidol |
Deletes an idol. |
%deleteidol (idol id) |
removeidol |
| deleteidolfromgroup |
Deletes idol from group |
%deleteidolfromgroup (idol id) (group id) |
removeidolfromgroup |
| deleteinteraction |
Delete a url from an interaction |
%deleteinteraction (url,url) |
|
| getstatuses |
Get all statuses of Irene. |
%getstatuses |
|
| kill |
Kills the bot |
%kill |
|
| killapi |
Restarts the API |
%killapi |
|
| maintenance |
Enable/Disable Maintenance Mode. |
%maintenance (reason) |
|
| mergeidol |
Merges a duplicate Idol with it's original |
%mergeidol (original idol id) (duplicate idol id) |
|
| mergegroup |
Merges a duplicate Group with it's original |
%mergegroup (original group id) (duplicate group id) |
|
| removestatus |
Remove a status based on it's index. The index can be found using %getstatuses |
%removestatus (status index) |
|
| repost |
Reposts a certain post from the DC APP to all channels. |
%repost (post_number) |
|
| weverseauth |
Updates Weverse Authentication Token without restarting bot. Only use this in DMs or a private channel for security purposes. |
%weverseauth (token) |
|


| Package | Description |
|---|---|
| org.opensaml.xml.encryption |
XMLObject interfaces and helper classes for representing encrypted content and encrypting/decrypting content.
|
| org.opensaml.xml.encryption.impl |
Implementations of the interfaces for XMLObjects that represent XML encryption types.
|
| org.opensaml.xml.encryption.validator | |
| org.opensaml.xml.security |
Interfaces and classes used in representing cryptographic credentials, evaluating the trustworthiness of security of tokens, etc.
|
| org.opensaml.xml.signature |
XMLObject interfaces and helper classes for representing digitally signed content and signing/validating content.
|
| org.opensaml.xml.signature.impl |
Implementations of the interfaces for XMLObjects that represent XML signature types.
|
| Class and Description |
|---|
| AbstractEncryptedKeyResolver
Abstract class implementation for
EncryptedKeyResolver . |
| CarriedKeyName
XMLObject representing XML Encryption, version 20021210, CarriedKeyName element.
|
| ChainingEncryptedKeyResolver
An implementation of
EncryptedKeyResolver which chains multiple other resolver implementations together,
calling them in the order specified in the resolver list. |
| CipherData
XMLObject representing XML Encryption, version 20021210, CipherData element.
|
| CipherReference
XMLObject representing XML Encryption, version 20021210, CipherReference element.
|
| CipherValue
XMLObject representing XML Encryption, version 20021210, CipherValue element.
|
| DataReference
XMLObject representing XML Encryption, version 20021210, DataReference element.
|
| DecryptionException
Exception thrown when an error occurs during decryption operations.
|
| EncryptedData
XMLObject representing XML Encryption, version 20021210, EncryptedData element.
|
| EncryptedKey
XMLObject representing XML Encryption, version 20021210, EncryptedKey element.
|
| EncryptedKeyResolver
Interface for resolving
EncryptedKey elements based on a particular
EncryptedData context, primarily for use during the decryption process. |
| EncryptedType
XMLObject representing XML Encryption, version 20021210, EncryptedType type.
|
| EncryptionException
Exception thrown when an error occurs during encryption operations.
|
| EncryptionMethod
XMLObject representing XML Encryption, version 20021210, EncryptionMethod element.
|
| EncryptionParameters
Parameters for encrypting XMLObjects.
|
| EncryptionProperties
XMLObject representing XML Encryption, version 20021210, EncryptionProperties element.
|
| EncryptionProperty
XMLObject representing XML Encryption, version 20021210, EncryptionProperty element.
|
| Generator
XMLObject representing XML Encryption, version 20021210, Generator element.
|
| KANonce
XMLObject representing XML Encryption, version 20021210, KA-Nonce element.
|
| KeyEncryptionParameters
Parameters for encrypting keys.
|
| KeyReference
XMLObject representing XML Encryption, version 20021210, KeyReference element.
|
| KeySize
XMLObject representing XML Encryption, version 20021210, KeySize element.
|
| OAEPparams
XMLObject representing XML Encryption, version 20021210, OAEPparams element.
|
| OriginatorKeyInfo
XMLObject representing XML Encryption, version 20021210, OriginatorKeyInfo element.
|
| P
XMLObject representing XML Encryption, version 20021210, P element.
|
| PgenCounter
XMLObject representing XML Encryption, version 20021210, pgenCounter element.
|
| Public
XMLObject representing XML Encryption, version 20021210, Public element.
|
| Q
XMLObject representing XML Encryption, version 20021210, Q element.
|
| RecipientKeyInfo
XMLObject representing XML Encryption, version 20021210, RecipientKeyInfo element.
|
| ReferenceList
XMLObject representing XML Encryption, version 20021210, ReferenceList element.
|
| ReferenceType
XMLObject representing XML Encryption, version 20021210, ReferenceType type.
|
| Seed
XMLObject representing XML Digital Signature, version 20020212, seed element.
|
| Transforms
XMLObject representing XML Encryption, version 20021210, Transforms element.
|
| Class and Description |
|---|
| AgreementMethod
XMLObject representing XML Encryption, version 20021210, AgreementMethod element.
|
| CarriedKeyName
XMLObject representing XML Encryption, version 20021210, CarriedKeyName element.
|
| CipherData
XMLObject representing XML Encryption, version 20021210, CipherData element.
|
| CipherReference
XMLObject representing XML Encryption, version 20021210, CipherReference element.
|
| CipherValue
XMLObject representing XML Encryption, version 20021210, CipherValue element.
|
| DataReference
XMLObject representing XML Encryption, version 20021210, DataReference element.
|
| DHKeyValue
XMLObject representing XML Encryption, version 20021210, DHKeyValue element.
|
| EncryptedData
XMLObject representing XML Encryption, version 20021210, EncryptedData element.
|
| EncryptedKey
XMLObject representing XML Encryption, version 20021210, EncryptedKey element.
|
| EncryptedType
XMLObject representing XML Encryption, version 20021210, EncryptedType type.
|
| EncryptionMethod
XMLObject representing XML Encryption, version 20021210, EncryptionMethod element.
|
| EncryptionProperties
XMLObject representing XML Encryption, version 20021210, EncryptionProperties element.
|
| EncryptionProperty
XMLObject representing XML Encryption, version 20021210, EncryptionProperty element.
|
| Generator
XMLObject representing XML Encryption, version 20021210, Generator element.
|
| KANonce
XMLObject representing XML Encryption, version 20021210, KA-Nonce element.
|
| KeyReference
XMLObject representing XML Encryption, version 20021210, KeyReference element.
|
| KeySize
XMLObject representing XML Encryption, version 20021210, KeySize element.
|
| OAEPparams
XMLObject representing XML Encryption, version 20021210, OAEPparams element.
|
| OriginatorKeyInfo
XMLObject representing XML Encryption, version 20021210, OriginatorKeyInfo element.
|
| P
XMLObject representing XML Encryption, version 20021210, P element.
|
| PgenCounter
XMLObject representing XML Encryption, version 20021210, pgenCounter element.
|
| Public
XMLObject representing XML Encryption, version 20021210, Public element.
|
| Q
XMLObject representing XML Encryption, version 20021210, Q element.
|
| RecipientKeyInfo
XMLObject representing XML Encryption, version 20021210, RecipientKeyInfo element.
|
| ReferenceList
XMLObject representing XML Encryption, version 20021210, ReferenceList element.
|
| ReferenceType
XMLObject representing XML Encryption, version 20021210, ReferenceType type.
|
| Seed
XMLObject representing XML Digital Signature, version 20020212, seed element.
|
| Transforms
XMLObject representing XML Encryption, version 20021210, Transforms element.
|
| XMLEncryptionBuilder
Builder for XMLObjects from
org.opensaml.xml.encryption . |
| Class and Description |
|---|
| AgreementMethod
XMLObject representing XML Encryption, version 20021210, AgreementMethod element.
|
| CipherData
XMLObject representing XML Encryption, version 20021210, CipherData element.
|
| CipherReference
XMLObject representing XML Encryption, version 20021210, CipherReference element.
|
| EncryptedType
XMLObject representing XML Encryption, version 20021210, EncryptedType type.
|
| EncryptionMethod
XMLObject representing XML Encryption, version 20021210, EncryptionMethod element.
|
| EncryptionProperties
XMLObject representing XML Encryption, version 20021210, EncryptionProperties element.
|
| EncryptionProperty
XMLObject representing XML Encryption, version 20021210, EncryptionProperty element.
|
| ReferenceList
XMLObject representing XML Encryption, version 20021210, ReferenceList element.
|
| ReferenceType
XMLObject representing XML Encryption, version 20021210, ReferenceType type.
|
| Transforms
XMLObject representing XML Encryption, version 20021210, Transforms element.
|
| Class and Description |
|---|
| EncryptionParameters
Parameters for encrypting XMLObjects.
|
| KeyEncryptionParameters
Parameters for encrypting keys.
|
| Class and Description |
|---|
| AgreementMethod
XMLObject representing XML Encryption, version 20021210, AgreementMethod element.
|
| EncryptedKey
XMLObject representing XML Encryption, version 20021210, EncryptedKey element.
|
| Class and Description |
|---|
| AgreementMethod
XMLObject representing XML Encryption, version 20021210, AgreementMethod element.
|
| EncryptedKey
XMLObject representing XML Encryption, version 20021210, EncryptedKey element.
|
Copyright © 1999-2014. All Rights Reserved.


Our cloths may get old with fashion but there are some people how live their life with one or two clothes
Donate the clothes you don't need anymore through this protal and our Enterpenuer from poor and slum community will collect it from you.
There is a saying, -
It is better to repair the clothing of the poor, than to be a concubine in the house of the rich
Vastra started almost a year ago by when ENACTUS IIT Ropar Team is surveying the local communities and villages of Rupnagar.We found there are thousands of people living without proper clothing which is the first and basic need for survival
Our team had did enough research and was ready to help them during the winter
With the greetings of NEW YEAR our team expanded! its reach to Near by Villages of Nanakpura, etc
With the aim of setting a business model targeting the clothing issue, We came up with the idea of ONLINE "CLOTHING BANK"
Not only the shelter,blood,food is needed but the equally important is the Clothing,


library(dplyr)
library(tidyr)
library(ggplot2)
library(purrr)
library(lme4)
library(lmerTest)
library(broom.mixed)
library(faux)
This paper provides a tutorial and examples for more complex designs.
You can build up a mixed effects model by adding random factors in a
stepwise fashion using add_random()
. The example below
simulates 3 schools with 2, 3 and 4 classes nested in each school.
data <- add_random(school = 3) %>%
add_random(class = c(2, 3, 4), .nested_in = "school")
| school | class |
|---|---|
| school1 | class1 |
| school1 | class2 |
| school2 | class3 |
| school2 | class4 |
| school2 | class5 |
| school3 | class6 |
| school3 | class7 |
| school3 | class8 |
| school3 | class9 |
A cross-classified design with 2 subjects and 3 items.
data <- add_random(subj = 2, item = 3)
| subj | item |
|---|---|
| subj1 | item1 |
| subj1 | item2 |
| subj1 | item3 |
| subj2 | item1 |
| subj2 | item2 |
| subj2 | item3 |
You can also name the items directly if you don’t like the default names. Crossed factors can be named with a vector of names, while nested factors need to be a list with one vector of names for each nesting level.
data <- add_random(school = c("Hyndland Primary", "Hyndland Secondary")) %>%
add_random(class = list(paste0("P", 1:2),
paste0("S", 1:2)),
.nested_in = "school")
| school | class |
|---|---|
| Hyndland Primary | P1 |
| Hyndland Primary | P2 |
| Hyndland Secondary | S1 |
| Hyndland Secondary | S2 |
Add within factors with add_within()
.
data <- add_random(subj = 2) %>%
add_within("subj", time = c("pre", "post"),
condition = c("control", "test"))
| subj | time | condition |
|---|---|---|
| subj1 | pre | control |
| subj1 | pre | test |
| subj1 | post | control |
| subj1 | post | test |
| subj2 | pre | control |
| subj2 | pre | test |
| subj2 | post | control |
| subj2 | post | test |
Add between factors with add_between()
. If you have more
than one factor, they will be crossed. If you set
.shuffle = TRUE
, the factors will be added randomly (not in
“order”), and separately added factors may end up confounded. This
simulates true random allocation.
data <- add_random(subj = 4, item = 2) %>%
add_between("subj", cond = c("control", "test"), gen = c("X", "Z")) %>%
add_between("item", version = c("A", "B")) %>%
add_between(c("subj", "item"), shuffled = 1:4, .shuffle = TRUE) %>%
add_between(c("subj", "item"), not_shuffled = 1:4, .shuffle = FALSE)
| subj | item | cond | gen | version | shuffled | not_shuffled |
|---|---|---|---|---|---|---|
| subj1 | item1 | control | X | A | 2 | 1 |
| subj1 | item2 | control | X | B | 3 | 2 |
| subj2 | item1 | control | Z | A | 2 | 3 |
| subj2 | item2 | control | Z | B | 1 | 4 |
| subj3 | item1 | test | X | A | 3 | 1 |
| subj3 | item2 | test | X | B | 4 | 2 |
| subj4 | item1 | test | Z | A | 4 | 3 |
| subj4 | item2 | test | Z | B | 1 | 4 |
If the levels of a factor don’t have equal probability, set the
probability with .prob
. If the sum of the values equals the
number of groups, you will always get those exact numbers (e.g., always
8 control and 2 test; set shuffle = TRUE to get them in a random order).
Otherwise, the values are sampled and the exact proportions will change
for each simulation.
data <- add_random(subj = 10) %>%
add_between("subj", cond = c("control", "test"), .prob = c(8, 2)) %>%
add_between("subj", age = c("young", "old"), .prob = c(.8, .2))
| subj | cond | age |
|---|---|---|
| subj01 | control | old |
| subj02 | control | young |
| subj03 | control | old |
| subj04 | control | young |
| subj05 | control | young |
| subj06 | control | young |
| subj07 | control | young |
| subj08 | control | old |
| subj09 | test | young |
| subj10 | test | young |
If you have more than one between-subject factor, setting them together allows you to set joint proportions for each cell.
data <- add_random(subj = 10) %>%
add_between("subj",
cond = c("control", "test"),
age = c("young", "old"),
.prob = c(2, 3, 4, 1))
| subj | cond | age |
|---|---|---|
| subj01 | control | young |
| subj02 | control | young |
| subj03 | control | old |
| subj04 | control | old |
| subj05 | control | old |
| subj06 | test | young |
| subj07 | test | young |
| subj08 | test | young |
| subj09 | test | young |
| subj10 | test | old |
You can use the filter()
function from dplyr to create
counterbalanced designs. For example, if your items are grouped into A
and B counterbalanced groups, add a between-subjects and a between-items
factor with the same levels and filter only rows where the subject value
matches the item value. In the example below, odd-numbered subjects only
respond to odd-numbered items.
data <- add_random(subj = 4, item = 4) %>%
add_between("subj", subj_cb = c("odd", "even")) %>%
add_between("item", item_cb = c("odd", "even")) %>%
dplyr::filter(subj_cb == item_cb)
| subj | item | subj_cb | item_cb |
|---|---|---|---|
| subj1 | item1 | odd | odd |
| subj1 | item3 | odd | odd |
| subj2 | item2 | even | even |
| subj2 | item4 | even | even |
| subj3 | item1 | odd | odd |
| subj3 | item3 | odd | odd |
| subj4 | item2 | even | even |
| subj4 | item4 | even | even |
To set up data for analysis, you often need to recode categorical
variables. Use the helper function add_contrast()
for this.
The code below creates anova-coded and treatment-coded versions of
“cond” and the two variables needed to treatment-code the 3-level
variable “type”. See the contrasts vignette
for more details.
You can add_recode()
for setting a manual contrast that
isn’t available in add_contrast()
, such as weighted
contrasts.
data <- add_random(subj = 2, item = 3) %>%
add_between("subj", cond = c("A", "B")) %>%
add_between("item", type = c("X", "Y", "Z")) %>%
# add contrasts
add_contrast("cond", "anova", add_cols = TRUE) %>%
add_contrast("cond", "treatment", add_cols = TRUE) %>%
# you can change the default column names
add_contrast("type", "treatment", add_cols = TRUE, colnames = c("Y", "Z")) %>%
add_recode("type", "type.w", X = -1.3, Y = 0, Z = 0.92)
| subj | item | cond | type | cond.B-A | cond.B-A.tr | Y | Z | type.w |
|---|---|---|---|---|---|---|---|---|
| subj1 | item1 | A | X | -0.5 | 0 | 0 | 0 | -1.30 |
| subj1 | item2 | A | Y | -0.5 | 0 | 1 | 0 | 0.00 |
| subj1 | item3 | A | Z | -0.5 | 0 | 0 | 1 | 0.92 |
| subj2 | item1 | B | X | 0.5 | 1 | 0 | 0 | -1.30 |
| subj2 | item2 | B | Y | 0.5 | 1 | 1 | 0 | 0.00 |
| subj2 | item3 | B | Z | 0.5 | 1 | 0 | 1 | 0.92 |
To simulate multilevel data, you need to add random intercepts and
slopes for each random factor (or combination of random factors). These
are randomly sampled each time you simulate a new sample, so you can
only characterise them by their standard deviation. You can use the
function add_ranef()
to add random effects with specified
SDs. If you add more than one random effect for the same group (e.g., a
random intercept and a random slope), you can specify their correlation
with .cors
(you can specify correlations in the same way as
for rnorm_multi()
).
The code below sets up a simple cross-classified design where 2
subjects are crossed with 2 items. It adds a between-subject,
within-item factor of “version”. Then it adds random effects by subject,
item, and their interaction, as well as an error term
(sigma
).
data <- add_random(subj = 4, item = 2) %>%
add_between("subj", version = 1:2) %>%
# add by-subject random intercept
add_ranef("subj", u0s = 1.3) %>%
# add by-item random intercept and slope
add_ranef("item", u0i = 1.5, u1i = 1.5, .cors = 0.3) %>%
# add by-subject:item random intercept
add_ranef(c("subj", "item"), u0si = 1.7) %>%
# add error term (by observation)
add_ranef(sigma = 2.2)
| subj | item | version | u0s | u0i | u1i | u0si | sigma |
|---|---|---|---|---|---|---|---|
| subj1 | item1 | 1 | 1.175 | -2.549 | 0.952 | -1.531 | 1.503 |
| subj1 | item2 | 1 | 1.175 | -0.811 | -1.595 | -0.256 | 1.518 |
| subj2 | item1 | 2 | -2.014 | -2.549 | 0.952 | -1.407 | 1.174 |
| subj2 | item2 | 2 | -2.014 | -0.811 | -1.595 | 3.376 | -0.409 |
| subj3 | item1 | 1 | 1.329 | -2.549 | 0.952 | 0.075 | 0.842 |
| subj3 | item2 | 1 | 1.329 | -0.811 | -1.595 | -0.687 | 0.828 |
| subj4 | item1 | 2 | 0.195 | -2.549 | 0.952 | -0.804 | 2.538 |
| subj4 | item2 | 2 | 0.195 | -0.811 | -1.595 | -0.705 | 3.465 |
Now you can define your data-generating parameters and put everything together to simulate a dataset. In this example,subject are crossed with items, and there is a single treatment-coded between-subject, within-item fixed factor of condition with levels “control” and “test”. The intercept and effect of condition are both set to 0. The SDs of the random intercepts and slopes are all set to 1 (you will need pilot data to estimate realistic values for your design), the correlation between the random intercept and slope by items is set to 0. The SD of the error term is set to 2.
# define parameters
subj_n = 10 # number of subjects
item_n = 10 # number of items
b0 = 0 # intercept
b1 = 0 # fixed effect of condition
u0s_sd = 1 # random intercept SD for subjects
u0i_sd = 1 # random intercept SD for items
u1i_sd = 1 # random b1 slope SD for items
r01i = 0 # correlation between random effects 0 and 1 for items
sigma_sd = 2 # error SD
# set up data structure
data <- add_random(subj = subj_n, item = item_n) %>%
# add and recode categorical variables
add_between("subj", cond = c("control", "test")) %>%
add_recode("cond", "cond.t", control = 0, test = 1) %>%
# add random effects
add_ranef("subj", u0s = u0s_sd) %>%
add_ranef("item", u0i = u0i_sd, u1i = u1i_sd, .cors = r01i) %>%
add_ranef(sigma = sigma_sd) %>%
# calculate DV
mutate(dv = b0 + u0s + u0i + (b1 + u1i) * cond.t + sigma)
| subj | item | cond | cond.t | u0s | u0i | u1i | sigma | dv |
|---|---|---|---|---|---|---|---|---|
| subj01 | item01 | control | 0 | 0.589 | 2.135 | 0.684 | -2.351 | 0.373 |
| subj01 | item02 | control | 0 | 0.589 | -0.214 | -0.252 | -0.284 | 0.090 |
| subj01 | item03 | control | 0 | 0.589 | 0.947 | -0.151 | 1.802 | 3.337 |
| subj01 | item04 | control | 0 | 0.589 | 0.652 | -0.875 | 0.716 | 1.957 |
| subj01 | item05 | control | 0 | 0.589 | -0.729 | -1.977 | -1.837 | -1.977 |
| subj01 | item06 | control | 0 | 0.589 | -1.050 | 0.238 | -2.644 | -3.105 |
You can analyse these data with lme4::lmer().
m <- lmer(dv ~ cond.t + (1 | subj) + (1 + cond.t | item), data = data)
summary(m)
#> Linear mixed model fit by REML. t-tests use Satterthwaite's method [
#> lmerModLmerTest]
#> Formula: dv ~ cond.t + (1 | subj) + (1 + cond.t | item)
#> Data: data
#>
#> REML criterion at convergence: 421
#>
#> Scaled residuals:
#> Min 1Q Median 3Q Max
#> -1.94554 -0.66137 0.03661 0.66655 2.39501
#>
#> Random effects:
#> Groups Name Variance Std.Dev. Corr
#> subj (Intercept) 0.3239 0.5691
#> item (Intercept) 0.7649 0.8746
#> cond.t 1.1253 1.0608 -0.66
#> Residual 3.2817 1.8115
#> Number of obs: 100, groups: subj, 10; item, 10
#>
#> Fixed effects:
#> Estimate Std. Error df t value Pr(>|t|)
#> (Intercept) -0.05392 0.45486 9.66296 -0.119 0.908
#> cond.t -0.58770 0.61102 9.08258 -0.962 0.361
#>
#> Correlation of Fixed Effects:
#> (Intr)
#> cond.t -0.690
Include this code in a function so you can easily change the Ns, fixed effects, and random effects to any values. Then run a mixed effects model on the data and return the model.
sim <- function(subj_n = 10, item_n = 10,
b0 = 0, b1 = 0, # fixed effects
u0s_sd = 1, u0i_sd = 1, # random intercepts
u1i_sd = 1, r01i = 0, # random slope and cor
sigma_sd = 2, # error term
... # helps the function work with pmap() below
) {
# set up data structure
data <- add_random(subj = subj_n, item = item_n) %>%
# add and recode categorical variables
add_between("subj", cond = c("control", "test")) %>%
add_recode("cond", "cond.t", control = 0, test = 1) %>%
# add random effects
add_ranef("subj", u0s = u0s_sd) %>%
add_ranef("item", u0i = u0i_sd, u1i = u1i_sd, .cors = r01i) %>%
add_ranef(sigma = sigma_sd) %>%
# calculate DV
mutate(dv = b0 + u0s + u0i + (b1 + u1i) * cond.t + sigma)
# run mixed effect model and return relevant values
m <- lmer(dv ~ cond.t + (1 | subj) + (1 + cond.t | item), data = data)
broom.mixed::tidy(m)
}
Check the function. Here, we’re simulating a fixed effect of condition (b1) of 0.5 for 50 subjects and 40 items, with a correlation between the random intercept and slope for items of 0.2, and the default values for all other parameters that we set above.
sim(subj_n = 50, item_n = 40, b1 = 0.5, r01i = 0.2)
#> # A tibble: 7 × 8
#> effect group term estim…¹ std.e…² stati…³ df p.value
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 fixed NA (Intercept) -0.0715 0.286 -0.250 71.4 0.803
#> 2 fixed NA cond.t 0.499 0.395 1.27 68.1 0.210
#> 3 ran_pars subj sd__(Intercept) 1.19 NA NA NA NA
#> 4 ran_pars item sd__(Intercept) 0.913 NA NA NA NA
#> 5 ran_pars item cor__(Intercept).cond… 0.256 NA NA NA NA
#> 6 ran_pars item sd__cond.t 1.16 NA NA NA NA
#> 7 ran_pars Residual sd__Observation 2.08 NA NA NA NA
#> # … with abbreviated variable names ¹estimate, ²std.error, ³statistic
Run the simulation repeatedly. I’m only running it 50 times per parameter combination here so my demo doesn’t take forever to run, but once you are done testing a range of parameters, you probably want to run the final simulation 100-1000 times. You might get a few warnings like “Model failed to converge” or “singular boundary”. You don’t need to worry too much if you only get a few of these. If most of your models have warnings, the simulation parameters are likely to be off.
x <- crossing(
rep = 1:50, # number of replicates
subj_n = c(50, 100), # range of subject N
item_n = 25, # fixed item N
b1 = c(0.25, 0.5, 0.75), # range of effects
r01i = 0.2 # fixed correlation
) %>%
mutate(analysis = pmap(., sim)) %>%
unnest(analysis)
Filter and/or group the resulting table and calculate the proportion of p.values above your alpha threshold to get power for the fixed effects.
# calculate power for alpha = 0.05
filter(x, effect == "fixed", term == "cond.t") %>%
group_by(b1, subj_n) %>%
summarise(power = mean(p.value < .05),
.groups = "drop") %>%
ggplot(aes(b1, subj_n, fill = power)) +
geom_tile() +
geom_text(aes(label = sprintf("%.2f", power)), color = "white", size = 10) +
scale_fill_viridis_c(limits = c(0, 1))


[gecode-users] Graph adjacency constraint
Malcolm Ryan
malcolmr at cse.unsw.edu.au
Thu Nov 8 23:15:27 CET 2007
On 09/11/2007, at 8:36 AM, Christian Schulte wrote:
> Please consider the element constraint.
I don't see how the element constraint is applicable in this case.
> Unless you want to transform your graph representation to an
> adjacency rep
> which is obviously more suited to constraint programming.
I'm not sure I understand what you mean. What kind of representation
are you thinking of?
> Other options are extensional table
> constraints, which will be available in Gecode 2.0.0.
>
> BTW, Gecode 2.0.0 will be released next Monday. Gecode/J 2.0.0 will
> follow
> suit a little later.
Excellent. Well I guess I can wait.
Malcolm
--
"Cleanliness is not next to godliness nowadays,
for cleanliness is made an essential
and godliness is regarded as an offence.
- G.K.Chesterton, On Lying in Bed
More information about the gecode-users
mailing list


Describes how to install Apache, MySQL, PHP (LAMP) stack on Debian and Ubuntu Linux
Difficulty: 3
Time: 4 minutes
The LAMP (Linux, Apache, MySQL, and PHP) stack is a group of open source software used to get web servers up and running. Debian, Linux, and Ubuntu use the apt-get installer, which can update the system and install all of the required packages for each part of the LAMP stack. The steps in this article require the user to have root privileges.
If you have not installed Debian or Ubuntu, these articles explain how to do so:
Set root password
, type Y, and then enter in your new MySQL root password. | Prompt | Action | Success Message |
Remove anonymous users? [Y/n] |
y | Success! |
Disallow root login remotely? [Y/n] |
y | Success! |
Remove test database and access to it? [Y/n] |
y | Dropping test database... ... Success! |
Removing privileges on test database |
Success! | |
Reload privilege tables now? [Y/n] |
y | Success! |
Cleaning up... |
All done! If you've completed all of the above steps, your MariaDB installation should now be secure.
After you've installed MySQL, finish the LAMP stack by installing PHP.
PHP is an open source web scripting language that is widely used to build dynamic webpages.
index.php
to the beginning of the DirectoryIndex
file line. The page should now look like this:
Congratulations! You now have a LAMP stack on your Debian or Ubuntu server, you can now Install phpMyadmin, Wordpress Install on LAMP, or go on to do more with Install and Enable MySQL
.


Viridiana Truijillo
LCMD - 6th Semester
Hardworking and energetic Communications and Media student with a passion for UI/UX
design.
Managing deadlines, persistence and efficiency in fast-paced environments are skills acquired from
my design courses, media manager and operations experience. Dedicated, excellent team player and
avid problem-solver.
Alex Hernandez
ITC - 2nd Semester
My name is Gina and I am 19 years old. I like to watch Netflix, read and spend time
with the
people I love; I consider myself a clueless person, cheerful and a little bit loudy. I'm studying
ITC because I'm interested in cybersecurity and I hope that one day i will be able to work on that.
Alejandra Cobo
LCMD - 5th Semester
asldjbaojsdb
Georgina Gámez
ITC - 2nd Semester
My name is Gina and I am 19 years old. I like to watch Netflix, read and spend time
with the
people I love; I consider myself a clueless person, cheerful and a little bit loudy. I'm studying
ITC because I'm interested in cybersecurity and I hope that one day i will be able to work on that.


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By entering width only, height is automatically calculated preserving aspect ratio
HTML5 image resizer running completely in the browser with no uploads & generate zip file
It's an experimental app, as the whole process is done in Memory it's not suited for use with hundreds of images
By: Basem Mostafa