See: Description
| Interface | Description |
|---|---|
| Catalog |
Catalogs are the second element of the hierarchy of metadata objects.
|
| Cube |
Central metadata object for representation of multidimensional data.
|
| Database |
Highest level element in the hierarchy of metadata objects.
|
| Dimension |
An organized hierarchy of categories, known as levels, that describes data
in a cube.
|
| Hierarchy | |
| Level | |
| Measure |
Data value of primary interest to the user browsing the cube.
|
| Member |
Member is a data value in an OLAP Dimension. |
| MetadataElement |
An element which describes the structure of an OLAP schema.
|
| NamedList<E> |
Extension to
List which allows access to members of the
list by name as well as by ordinal. |
| NamedSet |
Metadata object describing a named set defined against a
Cube . |
| Property | |
| Schema |
A collection of database objects that contain structural information, or
metadata, about a database.
|
| XmlaConstant |
Enumerated value that belongs to a set of constants in the XML for Analysis
(XMLA) specification.
|
| XmlaConstant.Dictionary<E extends Enum<E> & XmlaConstant> | |
| XmlaConstants.EnumWithDesc |
| Class | Description |
|---|---|
| XmlaConstants |
Collection of various enumerations and constants defined by the XML for
Analysis (XMLA) and OLE DB for OLAP specifications.
|
| Enum | Description |
|---|---|
| Database.AuthenticationMode |
Describes the supported authentication modes.
|
| Database.ProviderType |
Describes the possible provider types.
|
| Datatype |
Enumeration of the allowable data types of a Property or Measure.
|
| Dimension.Type |
Enumeration of the types of a
Dimension . |
| Level.Type |
Enumeration of the types of a
Level . |
| Measure.Aggregator |
Enumeration of the aggregate functions which can be used to derive a
Measure . |
| Member.TreeOp |
Enumeration of tree operations which can be used when querying
members.
|
| Member.Type |
Enumeration of types of members.
|
| Property.ContentType |
Enumeration of the types of a
Property . |
| Property.StandardCellProperty |
Enumeration of the system properties available for every
Cell . |
| Property.StandardMemberProperty |
Enumeration of the system properties available for every
Member . |
| Property.TypeFlag |
Enumeration of aspects of the type of a Property.
|
| XmlaConstants.Access | |
| XmlaConstants.ActionType |
Action type.
|
| XmlaConstants.AuthenticationMode | |
| XmlaConstants.AxisFormat | |
| XmlaConstants.Content | |
| XmlaConstants.CoordinateType |
How the COORDINATE restriction column is interpreted.
|
| XmlaConstants.DBType |
The only OLE DB Types Indicators returned by SQL Server are thoses coded
below.
|
| XmlaConstants.FontFlag | |
| XmlaConstants.Format | |
| XmlaConstants.Literal | |
| XmlaConstants.MdxSupport | |
| XmlaConstants.Method | |
| XmlaConstants.ProviderType | |
| XmlaConstants.StateSupport | |
| XmlaConstants.Updateable | |
| XmlaConstants.VisualMode |


Flask: Deploy an App¶
Previous:
Flask intro: A very simple Flask app
Flask, part 2: Values in routes; using an API
Flask templates: Write HTML templates for a Flask app
Code for this chapter is here.
In the Flask Templates chapter, we built a functioning Flask app. In this chapter, we’ll explore several ways to put that Flask app online.
Introduction¶
When professionals deploy their Python web apps, nowadays they commonly deploy to a cloud service such as Amazon’s AWS, Heroku, or Google App Engine.
One thing to understand, though, is that often they do not deploy a Python executable. That is, the site they upload to a web server is not the Flask app and its associated templates, etc., but rather a traditional website with hard-coded HTML files that has been “baked out” from Flask.
In this document, we’ll learn how to do that. Then we will also learn how to install a Flask app (one that has not been “baked out”) on Render.com.
“Baking it out” with Frozen-Flask¶
Frozen-Flask is a Flask extension, so we’ll need to install it. In Terminal, change into your Flask projects folder and activate your virtual environment there. Then install at the command prompt — where you see $
(Mac) or C:\Users\yourname>
(Windows )—
pip install Frozen-Flask
After installing the extension, create a new file inside the folder that contains the Flask app you want to “freeze.” Name the new file freeze.py and copy/paste this script into it:
"""standard freeze script"""
from flask_frozen import Freezer
# instead of "filename," below, use the name of the file that
# runs YOUR Flask app - omit .py from the filename
from filename import app
app.config['FREEZER_RELATIVE_URLS'] = True
freezer = Freezer(app)
if __name__ == '__main__':
freezer.freeze()
Warning
filename
in the script above must OMIT the file extension .py
from the filename.
Save all your open files.
If the Flask web server is running, quit it with Control-C.
In Terminal, in the directory containing the Flask app, enter this at the command prompt:
python freeze.py
If freezing worked: Inside your Flask app folder, you’ll now see a new folder named build. Open it. Inside build, you’ll see all the files created by Frozen-Flask.
The entire build folder can be uploaded to a web server (without any other files or folders), and the folder name can be changed (from build to anything) — and all the pages will work. (Just don’t change or rename anything inside the build folder.)
Need to update the site? Make your edits, run freeze.py again, and re-deploy.
Note
If the generated HTML files do not have filenames ending with .html, they might not open in the browser locally. That is, they might open as raw code! Upload the build folder to a server and test the pages there. See an example!
Benefits of freezing¶
Pause for a moment and consider this: Imagine you needed to build a site with detailed data about the 535 members of the U.S. Congress. You build it with Flask (using a CSV file, a Python dictionary, or an SQL database to generate all the data) with two or maybe three HTML templates. Then you run freeze.py and in seconds you have 535 individual files, which you just upload as one folder, and you’re done.
Similar apps might produce pages for:
190 pages for each dog breed in the American Kennel Club
318 pages for each character in all the Harry Potter novels
3,144 counties and county equivalents in the United States
6,909 living languages in the world
When there are changes to the data, you update the data source, re-freeze and re-deploy.
Freezer errors¶
If freezing did not work: This may happen because your app uses dynamic routes similar to this:
@app.route('/actor/<id>')
You might need to add a URL generator to the freeze.py file. But read the NOTE above before you do this!
For example (see project files):
from data import ACTORS
@freezer.register_generator
def actor():
for item in ACTORS:
yield { 'id': item['id'] }
You can definitely freeze an app with dynamic route information, but you might need to play around with it a bit before you get it working.
Some apps cannot work via freezing. See below for details.
Read the full documentation for Frozen-Flask.
When freezing will not work, cannot work¶
If your app depends on dynamic activity — for example, if you are using Flask-WTF to process a form — you will not get a fully functioning app if you freeze it. Similarly, if you’re accessing an API to get data that changes frequently (such as currency rates or weather), you cannot freeze that app.
In those cases, you will need to have Python running on a web server — and NOT freeze the app.
There are various ways to do this if you pay to use a cloud service, but if you’re a student and your app is not going to attract thousands of users, there are some free options.
In the past, it was possible to run Python apps on hosted web server accounts (“shared hosting”) that provide cPanel — a set of services accessed from a simple dashboard. Unfortunately, this option is no longer available. Another free option that is no longer offered was the “hobby” level of service at Heroku.
In 2023, the best free option I am aware of for deploying a Python app is to use Render.com. This document walks you through how to sign up, get started, and deploy your first Python app there. It’s relatively straightforward.
Conclusion¶
We’ve learned about two different options for deploying a Flask app:
Use Frozen-Flask and then upload a folder to your server
Deploy to Render.com
Depending on the characteristics of your Flask app, one of these options might be much better than the other.
See more options for deploying in the Flask documentation.
.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import viewmodels.AnswerSection @import utils.SectionFormatter.formatAnswerSection @import views.html.components.{Heading, Button, ReturnToTop} @import views.html.helper.CSPNonce @this( main_template: MainTemplate, headingComp: Heading, govukSummaryList: GovukSummaryList, button: Button, returnToTop: ReturnToTop, formHelper: FormWithCSRF ) @( closeDateSection: AnswerSection, entities: Seq[AnswerSection], trustDetails: Seq[AnswerSection], tvn: String, crn: String, declarationSent: String, isAgent: Boolean )(implicit request: Request[_], messages: Messages) @main_template( title = messages("playbackFinalDeclarationAnswers.title"), showBackLink = true ) { @headingComp("playbackFinalDeclarationAnswers.heading", headingSize = "govuk-heading-xl")
@messages("playbackFinalDeclarationAnswers.p1", tvn)
@if(isAgent: Boolean) {@messages("playbackFinalDeclarationAnswers.p2", crn)
}@messages("playbackFinalDeclarationAnswers.p3", declarationSent)
@button(messageKey = "site.print-or-save", isPrintButton = true) @govukSummaryList(SummaryList(rows = formatAnswerSection(closeDateSection))) @for(section <- trustDetails){ @if(section.sectionKey.isDefined){@messages("playbackAnswers.informationFirstRegistered")
@messages("playbackAnswers.selfAssessmentOnline")
@returnToTop() }


--- layout: post title: 2012 - How much truth is in there? date: 2010-08-09 20:01:27.000000000 +02:00 categories: - linux tags: - '2012' status: publish type: post published: true meta: _edit_last: '1' _wp_old_slug: '' author: ---
This post is just a conjunction of my thoughts, my beliefs. I don't know why but ever since I came to know about 2012 phenomenon, I ve been an astute believer in it. I am no believer in conspiracy theory. But somehow when I hear all the happenings around, and by that I mean mostly the actual natural disasters, some of which are man caused (the BP oil spill, the various disasters). The volcano erupting out of iceland. The flash floods. The rising temperatures. The floods in Europe.
I'll be posting more of my thoughts on this, all under the tag 2012.


IgeMousePanComponent CLASS
Declared in IgeMousePanComponent.js
When added to a viewport, automatically adds mouse panning capabilities to the viewport's camera.
Methods
init
- {IgeObject}entity The object that the component is added to.
- {Object}options The options object that was passed to the component during the call to addComponent.
startThreshold
Gets / sets the number of pixels after a mouse down that the mouse must move in order to activate a pan operation. Defaults to 5.
startThreshold({} val)
Returns {*}
limit
Gets / sets the rectangle that the pan operation will be limited to using an IgeRect instance.
Returns {*}
enabled
Gets / sets the enabled flag. If set to true, pan operations will be processed. If false, no panning will occur.
enabled({Boolean} val)
Returns {*}
_mouseDown
Handles the mouseDown event. Records the starting position of the camera pan and the current camera translation.
_mouseDown({} event)
_mouseMove
Handles the mouse move event. Translates the camera as the mouse moves across the screen.
_mouseMove({} event)
_mouseUp
Handles the mouse up event. Finishes the camera translate and removes the starting pan data.
_mouseUp({} event)


{% extends 'layouts/base.html' %} {% block title %} Profile {% endblock title %} {% block stylesheets %}{% endblock stylesheets %} {% block content %}
Hi, I’m Alec Thompson, Decisions: If you can’t decide, the answer is no. If two equally difficult paths, choose the one more painful in the short term (pain avoidance is creating an illusion of equality).
Architects design houses
Project #1
Music is something that every person has his or her own specific opinion about.
Project #3
Different people have different taste, and various types of music. Be one with a good taste!


LOGIN.FIRST_TIME
LOGIN.SIGN_UP
LOGIN.ALREADY_REGISTERED
LOGIN.LOGIN
LOGIN.TRY_TITLE
LOGIN.TRY_NOW
LOGIN.SIGN_UP
LOGIN.WELCOME
LOGIN.WHO_YOU
LOGIN.TEACHER
LOGIN.STUDENT
LOGIN.FORGOT_DETAILS
LOGIN.FORGOT_TEXT
LOGIN.WHO_YOU
LOGIN.TEACHER
LOGIN.STUDENT
SIGNUP.TEACHER.TITLE
SIGNUP.TEACHER.INFO1
SIGNUP.TEACHER.INFO2
Create an unmanaged class account
If you are happy to set up and manage the class account yourself, you can do it now!
You will need to:
Create an account on IBM Cloud
Create API key(s) for Watson cloud services needed to train machine learning models
Enter the API keys into this Machine Learning for Kids tool
Step-by-step instructions (with screenshots) are available for all of this.
Sign up
Create a managed class account
If you would like Dale to set up the class account, use the button below to send an email with the following information:
Roughly how many student accounts you will need
The name of the school or coding group the account is for
Email
Are you a student?
If your class is already using this tool, ask your teacher or coding group leader to create you an account.
If your class isn't already using the tool, ask your teacher or coding group leader to get in touch.
Are you a student?
If you're a student, we don't have your email address to be able to send you a password-reset email.
That's no problem, though!
Just ask your teacher or group leader who first signed you up. They will be able to reset your password from their Admin page.
Why register?
You don't have to register or create an account to use Machine
Learning for Kids, but if you do, it does unlock a few features of the tool.
The grid below explains the difference in what you can do if you click
"Try it now" without registering, and what you can do if you create an
account to log in with.
Try it now
Create an account
Train machine learning models to recognise...
text
numbers
images
Use machine learning models from Scratch
Create projects
1 project
Multiple projects
Save and load projects
Work on machine learning projects...
for a few hours
until you delete them
from one computer
anywhere online
by yourself
by yourself OR with classmates


The blue nodes represent the 9 queries we designed.
They provided us with 268 valid webpages.
The pages have been aggregated on the domain name obtaining 193 websites related to the Cesarean section topic.
Only a few of the websites are shared among the different queries so to reflect different discursive spaces.
Then we tagged the websites using the four categories:
Now you can explore the network by yourself.


Okay guys, so we're ready little technical difficulty here. So for that reason, we have to have the the middle screen, you know to live on the on the laptop for the duration of the class and the two side screens on the pad. But you remember I mentioned last time that for the next couple problems that we want to solve using the greedy method. We're going to need some more advanced data structures and that got us into the discussion of priority choose one way to implement a priority queue we talked about last time was binary heap right now a priority to can be implemented using as well. But I want you guys to be aware of the other types of heap that are out there that can help you implement a priority to And then we're going to jump back into greeting. So so the binomial tree B20 consist of only one node a binomial tree bisa pakai consists of two binomials trees piece of K - 1 that are linked together. So sad the root of 1 is the leftmost child of the roots of the other show me Sub-Zero is going to be just one piece of one is going to be to be Sub-Zero's one is the left most child of the other piece of shoe you see it's to be someone this is a piece of one. So this is a contract with a fine binary ink being constructed using only a single binary tree. You guys remember the men he property there the key value for their nose. The other property is that for any non-negative integer K. There's at most one binomial tree in h whose Roots has degree K. So you can't you can't have for example two piece of to sort Ruby Civ 5 in a single binomial Heat. So you can actually think of the the binary bind up the binomial trees that you do you end up with in a binary binomial live in terms of the the the bits representing the size of of the heap in binary. How many how many binomial trees are you going to have in a binomial heap a size 8? this one and that would be ABI Saab a piece of three remember piece of three has eight nodes exactly eight nodes in it. No, because the minimum elements could be over here or here or hear it could be at one of the roots of the binomial tree. So for example, Inapposite that left right most position you have a one so it means that you have a Visa Bureau the second one you have again. if you have any elements in the portal in the binomial, how many routes can you have in the in the route how many elements can you have in the route list?


Easily manage your supply chain and take a proactive approach to inventory management. so that everyday challenges never slow down growth. Automatically import orders from all of your shop with our API. Track inventory in real-time and know exactly when to reorder product.
GET A QUOTEManually Find suppliers,ship the stuff back to destination country,rent warehouse to stock stuff and hire employee to pack stuff, contact local courier to ship stuff.the broken stuff need to be sent back to China , takes a long time . need to upload track number and marked orders as “Fulfilled” manually .
Just a one-time setup SKU of each product . GlobalMate will catch the orders and sync to admin system. Once, the tracking number is entered from GlobalMate , the order will be automatically marked as fulfilled in your online shop.
GlobalMate Fulfillment is your all-in-one warehouse, order fulfillment and shipping partner.


[start page]
[services help]
Service URL:
InRule Rule Services HTML Tester
Apply Rules (GET)
Execute Rule Set (GET)
Execute Rule Request (POST)
Apply Rules (GET)
Inputs:
[show sample request]
Rule App:
Entity Name:
Entity XML:
Return Entity Name:
Response Type:
EntityXml
NotificationsXml
NotificationsText
ValidationsXml
ValidationsText
ExecutionLogXml
ExecutionLogText
PerformanceStatisticsReport
RuleExecutionReport
RuleExecutionResponseXml
working...
Request URL:
sample URL will be written here.
Output:
output will appear here.
Execute Rule Set (GET)
Inputs:
[show sample request]
Rule App:
Rule Set Type:
Explicit
Independent
Rule Set:
Parameters:
Name
Value
Entity Name:
Entity XML:
Return Entity Name:
Response Type:
EntityXml
NotificationsXml
NotificationsText
ValidationsXml
ValidationsText
ExecutionLogXml
ExecutionLogText
PerformanceStatisticsReport
RuleExecutionReport
RuleExecutionResponseXml
working...
Request URL:
sample URL will be written here.
Output:
output will appear here.
Execute Rule Request (POST)
[show sample request]
Inputs:
Rule App:
Rule Set Type:
Auto
Explicit
Independent
Rule Set:
Parameters:
Name
Value
Entity Name:
Entity XML:
Return Entity Name:
End Point Overrides:
End Point
Name:
Property
Value
Response Type:
EntityXml
NotificationsXml
NotificationsText
ValidationsXml
ValidationsText
ExecutionLogXml
ExecutionLogText
PerformanceStatisticsReport
RuleExecutionReport
RuleExecutionResponseXml
working...
Request URL:
sample URL will be written here.
Request XML:
sample XML will be written here.
Output:
output will appear here.


To conform to the data governance policies mentioned in the left pane, J.K avro superstore implements the security solution from DB2.
The following table shows the mapping between the PCI requirement and DB2 security features.
| PCI Goals and Requirements | DB2 Feature |
|---|---|
| Build and Maintain a Secure Network | |
| Requirement 1: Install and maintain a firewall configuration to protect cardholder data | |
| Requirement 2: Do not use vendor-supplied defaults for system passwords and other security parameters. | |
| Protect Cardholder Data | |
| Requirement 3: Protect stored cardholder data | Roles, Authorities |
| Requirement 4: Encrypt transmission of cardholder data across open, public networks. | SSL Support |
| Maintain a Vulnerability Management Program | |
| Requirement 5: Use and regularly update anti-virus software | |
| Requirement 6: Develop and maintain secure systems and applications | |
| Implement Strong Access Control Measures | |
| Requirement 7: Restrict access to cardholder data by business need-to-know | Authorities, Row Level LBAC,Column Level LBAC |
| Requirement 8: Assign a unique ID to each person with computer access | Trusted Context |
| Requirement 9: Restrict physical access to cardholder data | |
| Regularly Monitor and Test Networks | |
| Requirement 10: Track and monitor all access to network resources and cardholder data | Audit, Data Encryption |
| Requirement 11: Regularly test security systems and processes |


The ntpq
utility program is used to
monitor the operational status
and determine the performance of
ntpd
, the NTP daemon.
This document applies to version 4.2.7p368 of ntpq
.
The ntpq
utility program is used to monitor NTP daemon ntpd
operations and determine performance.
It uses the standard NTP mode 6 control message formats defined in
Appendix B of the NTPv3 specification RFC1305.
The same formats are used in NTPv4, although some of the variable names have changed and new ones added.
The description on this page is for the NTPv4 variables.
The program can be run either in interactive mode or controlled using command line arguments. Requests to read and write arbitrary variables can be assembled, with raw and pretty-printed output options being available. The ntpq
can also obtain and print a list of peers in a common format by sending multiple queries to the server.
If one or more request options is included on the command line when ntpq
is executed, each of the requests will be sent to the NTP servers running on each of the hosts given as command line arguments, or on localhost by default. If no request options are given, ntpq
will attempt to read commands from the standard input and execute these on the NTP server running on the first host given on the command line, again defaulting to localhost when no other host is specified. ntpq
will prompt for commands if the standard input is a terminal device.
ntpq
uses NTP mode 6 packets to communicate with the NTP server, and hence can be used to query any compatible server on the network which permits it. Note that since NTP is a UDP protocol this communication will be somewhat unreliable, especially over large distances in terms of network topology. ntpq
makes one attempt to retransmit requests, and will time requests out if the remote host is not heard from within a suitable timeout time.
Note that in contexts where a host name is expected, a -4
qualifier preceding the host name forces DNS resolution to the IPv4 namespace, while a -6
qualifier forces DNS resolution to the IPv6 namespace.
For examples and usage, see the NTP Debugging Techniques page.
The
ntpq
utility program is used to query NTP servers which
implement the standard NTP mode 6 control message formats defined
in Appendix B of the NTPv3 specification RFC1305, requesting
information about current state and/or changes in that state.
The same formats are used in NTPv4, although some of the
variables have changed and new ones added. The description on this
page is for the NTPv4 variables.
The program may be run either in interactive mode or controlled using
command line arguments.
Requests to read and write arbitrary
variables can be assembled, with raw and pretty-printed output
options being available.
The
ntpq
utility can also obtain and print a
list of peers in a common format by sending multiple queries to the
server.
If one or more request options is included on the command line
when
ntpq
is executed, each of the requests will be sent
to the NTP servers running on each of the hosts given as command
line arguments, or on localhost by default.
If no request options
are given,
ntpq
will attempt to read commands from the
standard input and execute these on the NTP server running on the
first host given on the command line, again defaulting to localhost
when no other host is specified.
The
ntpq
utility will prompt for
commands if the standard input is a terminal device.
ntpq
uses NTP mode 6 packets to communicate with the
NTP server, and hence can be used to query any compatible server on
the network which permits it.
Note that since NTP is a UDP protocol
this communication will be somewhat unreliable, especially over
large distances in terms of network topology.
The
ntpq
utility makes
one attempt to retransmit requests, and will time requests out if
the remote host is not heard from within a suitable timeout
time.
Specifying a
command line option other than
-i
or
-n
will
cause the specified query (queries) to be sent to the indicated
host(s) immediately.
Otherwise,
ntpq
will attempt to read
interactive format commands from the standard input.
Interactive format commands consist of a keyword followed by zero to four arguments. Only enough characters of the full keyword to uniquely identify the command need be typed.
A
number of interactive format commands are executed entirely within
the
ntpq
utility itself and do not result in NTP mode 6
requests being sent to a server.
These are described following.
help
[command_keyword]ntpq
.
A
?
followed by a command keyword will print function and usage
information about the command.
This command is probably a better
source of information about
ntpq
than this manual
page.
addvars
variable_name[=value
]...
rmvarsvariable_name...
clearvars
The data carried by NTP mode 6 messages consists of a list of
items of the form
variable_name=value,
where the
=value
is ignored, and can be omitted,
in requests to the server to read variables.
The
ntpq
utility maintains an internal list in which data to be included in control
messages can be assembled, and sent using the
readlist
and
writelist
commands described below.
The
addvars
command allows variables and their optional values to be added to
the list.
If more than one variable is to be added, the list should
be comma-separated and not contain white space.
The
rmvars
command can be used to remove individual variables from the list,
while the
clearlist
command removes all variables from the
list.
authenticate[yes]|no
Normally
ntpq
does not authenticate requests unless
they are write requests.
The command
authenticateyes
causes
ntpq
to send authentication with all requests it
makes.
Authenticated requests causes some servers to handle
requests slightly differently, and can occasionally melt the CPU in
fuzzballs if you turn authentication on before doing a
peer
display.
The command
authenticate
causes
ntpq
to display whether or not
ntpq
is currently autheinticating requests.
cooked
Causes output from query commands to be "cooked", so that
variables which are recognized by
ntpq
will have their
values reformatted for human consumption.
Variables which
ntpq
thinks should have a decodable value but didn't are
marked with a trailing
?.
debugOomore
|less
|off
Oc
With no argument, displays the current debug level.
Otherwise, the debug level is changed to the indicated level.
delaymilliseconds
Specify a time interval to be added to timestamps included in
requests which require authentication.
This is used to enable
(unreliable) server reconfiguration over long delay network paths
or between machines whose clocks are unsynchronized.
Actually the
server does not now require timestamps in authenticated requests,
so this command may be obsolete.
hosthostname
Set the host to which future queries will be sent.
hostname
may be either a host name or a numeric address.
hostnames[yes
|Cm
no
]
If
yes
is specified, host names are printed in
information displays.
If
no
is specified, numeric
addresses are printed instead.
The default is
yes
,
unless
modified using the command line
-n
switch.
keyidkeyid
This command allows the specification of a key number to be
used to authenticate configuration requests.
This must correspond
to a key number the server has been configured to use for this
purpose.
ntpversionOo
1
|
2
|
3
|
4
Oc
Sets the NTP version number which
ntpq
claims in
packets.
Defaults to 3, and note that mode 6 control messages (and
modes, for that matter) didn't exist in NTP version 1.
There appear
to be no servers left which demand version 1.
With no argument, displays the current NTP version that will be used
when communicating with servers.
quit
Exit
ntpq
passwd
This command prompts you to type in a password (which will not
be echoed) which will be used to authenticate configuration
requests.
The password must correspond to the key configured for
use by the NTP server for this purpose if such requests are to be
successful.
raw
Causes all output from query commands is printed as received
from the remote server.
The only formating/interpretation done on
the data is to transform nonascii data into a printable (but barely
understandable) form.
timeoutmilliseconds
Specify a timeout period for responses to server queries.
The
default is about 5000 milliseconds.
Note that since
ntpq
retries each query once after a timeout, the total waiting time for
a timeout will be twice the timeout value set.
This section was generated by AutoGen,
using the agtexi-cmd
template and the option descriptions for the ntpq
program.
This software is released under the NTP license, <http://ntp.org/license>.
This is the automatically generated usage text for ntpq.
The text printed is the same whether selected with the help
option
(--help) or the more-help
option (--more-help). more-help
will print
the usage text by passing it through a pager program.
more-help
is disabled on platforms without a working
fork(2)
function. The PAGER
environment variable is
used to select the program, defaulting to more. Both will exit
with a status code of 0.
ntpq - standard NTP query program - Ver. 4.2.7p367 Usage: ntpq [ -<flag> [<val>] | --<name>[{=| }<val>] ]... [ host ...] Flg Arg Option-Name Description -4 no ipv4 Force IPv4 DNS name resolution - prohibits the option 'ipv6' -6 no ipv6 Force IPv6 DNS name resolution - prohibits the option 'ipv4' -c Str command run a command and exit - may appear multiple times -d no debug-level Increase debug verbosity level - may appear multiple times -D Num set-debug-level Set the debug verbosity level - may appear multiple times -p no peers Print a list of the peers - prohibits the option 'interactive' -i no interactive Force ntpq to operate in interactive mode - prohibits these options: command peers -n no numeric numeric host addresses no old-rv Always output status line with readvar opt version output version information and exit -? no help display extended usage information and exit -! no more-help extended usage information passed thru pager -> opt save-opts save the option state to a config file -< Str load-opts load options from a config file - disabled as '--no-load-opts' - may appear multiple times Options are specified by doubled hyphens and their name or by a single hyphen and the flag character. The following option preset mechanisms are supported: - reading file $HOME/.ntprc - reading file ./.ntprc - examining environment variables named NTPQ_* Please send bug reports to: <http://bugs.ntp.org<EMAIL_ADDRESS>This is the “force ipv4 dns name resolution” option.
This option has some usage constraints. It:
Force DNS resolution of following host names on the command line to the IPv4 namespace.
This is the “force ipv6 dns name resolution” option.
This option has some usage constraints. It:
Force DNS resolution of following host names on the command line to the IPv6 namespace.
This is the “run a command and exit” option. This option takes an argument string cmd.
This option has some usage constraints. It:
The following argument is interpreted as an interactive format command and is added to the list of commands to be executed on the specified host(s).
This is the “print a list of the peers” option.
This option has some usage constraints. It:
Print a list of the peers known to the server as well as a summary of their state. This is equivalent to the 'peers' interactive command.
This is the “force ntpq to operate in interactive mode” option.
This option has some usage constraints. It:
Force ntpq
to operate in interactive mode.
Prompts will be written to the standard output and
commands read from the standard input.
This is the “numeric host addresses” option. Output all host addresses in dotted-quad numeric format rather than converting to the canonical host names.
This is the “always output status line with readvar” option.
By default, ntpq
now suppresses the associd=...
line that precedes the output of readvar
(alias rv
) when a single variable is requested, such as
ntpq -c "rv 0 offset"
.
This option causes ntpq
to include both lines of output
for a single-variable readvar
.
Using an environment variable to
preset this option in a script will enable both older and
newer ntpq
to behave identically in this regard.
Any option that is not marked as not presettable may be preset by
loading values from configuration ("rc" or "ini") files, and values from environment variables named NTPQ
and NTPQ_<OPTION_NAME>
. <OPTION_NAME>
must be one of
the options listed above in upper case and segmented with underscores.
The NTPQ
variable will be tokenized and parsed like
the command line. The remaining variables are tested for existence and their
values are treated like option arguments.
libopts
will search in 2 places for configuration files:
HOME
, and PWD
are expanded and replaced when ntpq runs.
For any of these that are plain files, they are simply processed.
For any that are directories, then a file named .ntprc is searched for
within that directory and processed.
Configuration files may be in a wide variety of formats. The basic format is an option name followed by a value (argument) on the same line. Values may be separated from the option name with a colon, equal sign or simply white space. Values may be continued across multiple lines by escaping the newline with a backslash.
Multiple programs may also share the same initialization file. Common options are collected at the top, followed by program specific segments. The segments are separated by lines like:
[NTPQ]
or by
<?program ntpq>
Do not mix these styles within one configuration file.
Compound values and carefully constructed string values may also be specified using XML syntax:
<option-name> <sub-opt>...<...>...</sub-opt> </option-name>
yielding an option-name.sub-opt
string value of
"...<...>..."
AutoOpts
does not track suboptions. You simply note that it is a
hierarchicly valued option. AutoOpts
does provide a means for searching
the associated name/value pair list (see: optionFindValue).
The command line options relating to configuration and/or usage help are:
Print the program version to standard out, optionally with licensing information, then exit 0. The optional argument specifies how much licensing detail to provide. The default is to print just the version. The licensing infomation may be selected with an option argument. Only the first letter of the argument is examined:
One of the following exit values will be returned:
| What | Default | Flag | Option
|
|---|---|---|---|
| configuration file | /etc/ntp.conf
| -c
| conffile
|
| frequency file | none | -f
| driftfile
|
| leapseconds file | none | leapfile
| |
| process ID file | none | -p
| pidfile
|
| log file | system log | -l
| logfile
|
| include file | none | none | includefile
|
| statistics path | /var/NTP
| -s
| statsdir
|
| keys path | /usr/local/etc
| -k
| keysdir
|
Interactive format commands consist of a keyword followed by zero to four arguments. Only enough characters of the full keyword to uniquely identify the command need be typed. The output of a command is normally sent to the standard output, but optionally the output of individual commands may be sent to a file by appending a >
, followed by a file name, to the command line. A number of interactive format commands are executed entirely within the ntpq
program itself and do not result in NTP mode-6 requests being sent to a server. These are described following.
? [
command_keyword]
help [
command_keyword]
?
by itself will print a list of all the command keywords known to ntpq
. A ?
followed by a command keyword will print function and usage information about the command.
>addvars
name [ =
value] [...]
rmvars
name [...]
clearvars</dt>
=
value, where the =
value is ignored,
and can be omitted in read requests.
ntpq
maintains an internal list in which data to be included
in control messages can be assembled, and sent using the readlist
and writelist
commands described below.
The addvars
command allows variables and optional values
to be added to the list.
If more than one variable is to be added
the list should be comma-separated and not contain white space.
The rmvars
command can be used to remove individual variables
from the list,
while the clearlist
command removes all variables from the list.
cooked
debug more | less | off
delay
milliseconds host
name hostnames [yes | no]
yes
is specified, host names are printed in information displays.
If no
is specified, numeric addresses are printed instead.
The default is yes
,
unless modified using the command line -n
switch.
keyid
keyidntp.conf
for this purpose.
keytype
MD5
.
If the OpenSSL library is installed,
digest can be be any message digest algorithm supported by the library.
The current selections are: MD2
, MD4
, MD5
, MDC2
, RIPEMD160
, SHA
and SHA1
.
ntpversion 1 | 2 | 3 | 4
ntpq
claims in packets.
Defaults to 2.
Note that mode-6 control messages (and modes, for that matter)
didn't exist in NTP version 1.
passwd
ntp.conf
for this purpose.
quit
ntpq
.
raw
timeout
millsecondsntpq
retries each query once after a timeout
the total waiting time for a timeout will be twice the timeout value set.
Association IDs are used to identify system, peer and clock variables.
System variables are assigned an association ID of zero and system name space,
while each association is assigned a nonzero association ID and peer namespace.
Most control commands send a single mode-6 message to the server
and expect a single response message.
The exceptions are the peers
command,
which sends a series of messages,
and the mreadlist
and mreadvar
commands,
which iterate over a range of associations.
associations
ind assid status conf reach auth condition last_event cnt
| Variable | Description
|
|---|---|
ind
| index on this list
|
assid
| association ID
|
status
| peer status word
|
conf
| yes : persistent, no : ephemeral
|
reach
| yes : reachable, no : unreachable
|
auth
| ok , yes , bad and none
|
condition
| selection status (see the select field of the peer status word)
|
last_event
| event report (see the event field of the peer status word)
|
cnt
event count (see the count field of the peer status word)
|
clockvar
assocID [
name [ =
value [...]] [...]]
cv
assocID [
name [ =
value [...] ][...]]
:config [...]
config-from-file
filename ifstats
iostats
kerninfo
lassociations
monstats
mrulist [limited | kod | mincount=
count | laddr=
localaddr | sort=
sortorder | resany=
hexmask | resall=
hexmask]
sort=
sortorder,
the options filter the list returned by ntpd
.
The limited
and kod
options return only entries
representing client addresses from which the last packet received
triggered either discarding or a KoD response.
The mincount=
count option filters entries representing
less than count packets.
The laddr=
localaddr option filters entries for packets
received on any local address other than localaddr.
resany=
hexmask and resall=
hexmask
filter entries containing none or less than all, respectively,
of the bits in hexmask, which must begin with 0x
.
lstint
and may be any of
addr
, count
, avgint
, lstint
, or
any of those preceded by a minus sign (hyphen) to reverse the sort order.
The output columns are:
| Column | Description
|
|---|---|
lstint
|
Interval in s between the receipt of the most recent packet from this
address and the completion of the retrieval of the MRU list by ntpq
|
avgint
|
Average interval in s between packets from this address.
|
rstr
|
Restriction flags associated with this address.
Most are copied unchanged from the matching restrict command,
however 0x400 (kod) and 0x20 (limited) flags are cleared unless
the last packet from this address triggered a rate control response.
|
r
|
Rate control indicator, either a period, L or K for
no rate control response, rate limiting by discarding, or
rate limiting with a KoD response, respectively.
|
m
|
Packet mode.
|
v
|
Packet version number.
|
count
|
Packets received from this address.
|
rport
|
Source port of last packet from this address.
|
remote address
|
DNS name, numeric address, or address followed by claimed DNS name which
could not be verified in parentheses.
|
mreadvar
assocID assocID [
variable_name [ =
value[ ... ]
mrv
assocID assocID [
variable_name [ =
value[ ... ]
readvar
command,
except for a range of association IDs.
This range is determined from the association list cached by
the most recent associations
command.
passociations
associations command
, except that
it uses previously stored data rather than making a new query.
peers
[tally]remote refid st t when pool reach delay offset jitter
| Variable | Description
|
|---|---|
[tally]
|
single-character code indicating current value of the select field
of the peer status word.
|
remote
|
host name (or IP number) of peer
|
refid
|
association ID or kiss code.
|
st
|
stratum
|
t
|
u : unicast or manycast client,
b : broadcast or multicast client,
l : local (reference clock),
s : symmetric (peer),
A : manycast server,
B : broadcast server,
M : multicast server.
|
when
|
sec/min/hr since last received packet
|
poll
|
poll interval (log(2) s)
|
reach
|
reach shift register (octal)
|
delay
|
roundtrip delay
|
offset
|
offset of server relative to this host
|
jitter
|
jitter
|
readvar
assocID name [ =
value ] [,...]
rv
assocID [
name ] [,...]
saveconfig
filename:config
or config-from-file
,
to the ntpd host's file filename.
This command will be rejected by the server unless
saveconfigdir
appears in the ntpd
configuration file.
filename can use strftime()
format specifiers
to substitute the current date and time, for example,
saveconfig ntp-%Y%m%d-%H%M%S.conf
.
The filename used is stored in system variable savedconfig
.
Authentication is required.
writevar
assocID name =
value [,...]
sysinfo
sysstats
The current state of the operating program is shown
in a set of status words maintained by the system
and each association separately.
These words are displayed in the rv
and as
commands
both in hexadecimal and decoded short tip strings.
The codes, tips and short explanations are on the
Event Messages and Status Words page.
The page also includes a list of system and peer messages,
the code for the latest of which is included in the status word.
Information resulting from protocol machine state transitions is displayed using an informal set of ASCII strings called kiss codes. The original purpose was for kiss-o'-death (KoD) packets sent by the server to advise the client of an unusual condition. They are now displayed, when appropriate, in the reference identifier field in various billboards.
The following system variables appear in the rv
billboard.
Not all variables are displayed in some configurations.
| Variable | Description
|
|---|---|
status
|
system status word
|
version
|
NTP software version and build time
|
processor
|
hardware platform and version
|
system
|
operating system and version
|
leap
|
leap warning indicator (0-3)
|
stratum
|
stratum (1-15)
|
precision
|
precision (log(2) s)
|
rootdelay
|
total roundtrip delay to the primary reference clock
|
rootdisp
|
total dispersion to the primary reference clock
|
peer
|
system peer association ID
|
tc
time constant and poll exponent (log(2) s) (3-17)
| |
mintc
minimum time constant (log(2) s) (3-10)
| |
clock
|
date and time of day
|
refid
reference ID or kiss code
| |
reftime
|
reference time
|
offset
|
combined offset of server relative to this host
|
sys_jitter
|
combined system jitter
|
frequency
|
frequency offset (PPM) relative to hardware clock
|
clk_wander
|
clock frequency wander (PPM)
|
clk_jitter
|
clock jitter
|
tai
|
TAI-UTC offset (s)
|
leapsec
|
NTP seconds when the next leap second is/was inserted
|
expire
|
NTP seconds when the NIST leapseconds file expires
|
The jitter and wander statistics are exponentially-weighted RMS averages. The system jitter is defined in the NTPv4 specification; the clock jitter statistic is computed by the clock discipline module.
When the NTPv4 daemon is compiled with the OpenSSL software library, additional system variables are displayed, including some or all of the following, depending on the particular Autokey dance:
| Variable | Description
|
|---|---|
host
|
Autokey host name for this host
|
ident
|
Autokey group name for this host
|
flags
|
host flags (see Autokey specification)
|
digest
|
OpenSSL message digest algorithm
|
signature
|
OpenSSL digest/signature scheme
|
update
|
NTP seconds at last signature update
|
cert
|
certificate subject, issuer and certificate flags
|
until
|
NTP seconds when the certificate expires
|
The following peer variables appear in the rv
billboard
for each association.
Not all variables are displayed in some configurations.
| Variable | Description
|
|---|---|
associd
|
association ID
|
status
|
peer status word
|
srcadr
| |
srcport
|
source (remote) IP address and port
|
dstadr
| |
dstport
|
destination (local) IP address and port
|
leap
|
leap indicator (0-3)
|
stratum
|
stratum (0-15)
|
precision
|
precision (log(2) s)
|
rootdelay
|
total roundtrip delay to the primary reference clock
|
rootdisp
| total root dispersion to the primary reference clock
|
refid
|
reference ID or kiss code
|
reftime
|
reference time
|
reach
|
reach register (octal)
|
unreach
|
unreach counter
|
hmode
|
host mode (1-6)
|
pmode
|
peer mode (1-5)
|
hpoll
|
host poll exponent (log(2) s) (3-17)
|
ppoll
|
peer poll exponent (log(2) s) (3-17)
|
headway
|
headway (see Rate Management and the Kiss-o'-Death Packet)
|
flash
|
flash status word
|
offset
|
filter offset
|
delay
|
filter delay
|
dispersion
|
filter dispersion
|
jitter
|
filter jitter
|
ident
|
Autokey group name for this association
|
bias
|
unicast/broadcast bias
|
xleave
|
interleave delay (see NTP Interleaved Modes)
|
The bias variable is calculated when the first broadcast packet is received after the calibration volley. It represents the offset of the broadcast subgraph relative to the unicast subgraph. The xleave variable appears only the interleaved symmetric and interleaved modes. It represents the internal queuing, buffering and transmission delays for the preceding packet.
When the NTPv4 daemon is compiled with the OpenSSL software library, additional peer variables are displayed, including the following:
| Variable | Description
|
|---|---|
flags
|
peer flags (see Autokey specification)
|
host
|
Autokey server name
|
flags
|
peer flags (see Autokey specification)
|
signature
|
OpenSSL digest/signature scheme
|
initsequence
|
initial key ID
|
initkey
|
initial key index
|
timestamp
|
Autokey signature timestamp
|
The following clock variables appear in the cv
billboard for each association with a reference clock. Not all variables are displayed in some configurations.
| Variable | Description
|
|---|---|
associd
| association ID
|
status
| clock status word
|
device
| device description
|
timecode
| ASCII time code string (specific to device)
|
poll
| poll messages sent
|
noreply
| no reply
|
badformat
| bad format
|
baddata
| bad date or time
|
fudgetime1
| fudge time 1
|
fudgetime2
| fudge time 2
|
stratum
| driver stratum
|
refid
| driver reference ID
|
flags
| driver flags
|


About
Thank you for visiting the Karnataka Learning Partnership's District Information System for Education (DISE) visualisation and reporting application.
What This Application Does
DISE collects an incredible array of data on all primary schools, public and private, in every state of India and have done so, year on year, for many years. The self-reported data contains variables that cover enrolment to sanitation to infrastructure and more. A full list of these variables can be found in the DISE DCF.
KLP believes that the data DISE collects is an under-utilised resource and built this application to allow users to better explore this data set through multiple lenses.
Please read our blog post introducing this DISE exploration tool.
What The Data Sources Are
There are multiple data sources that have gone in to making this application:
- Raw DISE data that you can download from School Report Cards.
- School coordinate information that we have collected or reverse geocoded.
- PIN Code and Electoral Constituency information that we have mapped to the schools.
What The Post Processing Is
We have:
- Cleaned up the DISE data to the extent possible - in particular, filtered out schools that may not be primary schools.
- We have done considerable geo-processing such that we have been able to find latitude and longitude points for many of the schools in the DISE database. Please note that these points may not be accurate for purposes of navigation but are accurate for purposes of representation.
- We have then worked out what other boundaries - such as elected representatives and PIN Codes each school corresponds to such that they can each be used as views for the DISE data. When processing the geo-data for the schools we had to make several assumptions and inferences to allow for aggregation said boundaries.
-
For schools that we had an accurate GPS coordinate, we inferred the assembly and parliamentary constituencies through spatial queries. 51,391 for 2010-11, 50,890 for 2011-12, 50,527 for 2012-13.
-
For schools for which we did not have an accurate GPS coordinate, we looked at the PIN code mentioned, parsed that through shape files for that PIN code and then deduced a best fit to a constituency it fell within. 6447 for 2010-11, 7160 for 2011-12, 9970 for 2012-13.
-
For schools for which we did not have a valid PIN code, we first looked at the village and cluster it was attached to and then created an array of schools attached to the same village and cluster and inferred a best fit to a PIN code then deduced a best fit to a constituency it fell within. For schools for which we could not find a match at the village and cluster level, we expanded the search and match method to the cluster and block pair. 280 for 2010-11, 812 for 2011-12, 420 for 2012-13.
Post this, we were left with 30 for 2010-11, 46 for 2011-12 and 20 for 2012-13 schools that we could not fit. We have chosen to ignore those given that they are less than 1% of the total schools.
-
You can inspect and re-use and improve the scripts used for this.
-
We have created a set of pre-determined filters that users can use to view the data.
Frameworks & Credits
- Bibhas for the framework and API this runs on.
- Sajjad for the spatial data management and maps.
- Prateek for the interface and interaction development.
Feedback & Contact
We'd love to hear from you. Love it? Hate it? Can we do more? Better? Tell us all. Email us at<EMAIL_ADDRESS>Source Code
The source code of this application is available on Github!
{% endblock %}
{% block endbody %}
{% endblock %}


| 003:180 Khan | : |
And let not those who covetously withhold of that which Allah has bestowed on them of His Bounty (Wealth) think that it is good for them (and so they do not pay the obligatory Zakat). Nay, it will be worse for them; the things which they covetously withheld shall be tied to their necks like a collar on the Day of Resurrection. And to Allah belongs the heritage of the heavens and the earth; and Allah is Well-Acquainted with all that you do. |
| 003:180 Maulana | : |
And let not those who are niggardly in spending that which Allah has granted them out of His grace, think that it is good for them. Nay, it is evil for them. They shall have a collar of their niggardliness on their necks on the Resurrection day. And Allah's is the heritage of the heavens and the earth. And Allah is Aware of what you do. |
| 003:180 Pickthal | : |
And let not those who hoard up that which Allah hath bestowed upon them of His bounty think that it is better for them. Nay, it is worse for them. That which they hoard will be their collar on the Day of Resurrection. Allah's is the heritage of the heavens and the earth, and Allah is Informed of what ye do. |
| 003:180 Rashad | : |
Let not those who withhold and hoard GOD's provisions think that this is good for them; it is bad for them. For they will carry their hoarding around their necks on the Day of Resurrection. GOD is the ultimate inheritor of the heavens and the earth. GOD is fully Cognizant of everything you do. |
| 003:180 Sarwar | : |
Those who are avaricious of the favors that God has given them should not think that this is good for them. Avarice is evil and whatever they are avaricious about will be tied to their necks on the Day of Judgment. To God belongs the heritage of the heavens and the earth. God is Well Aware of what you do. |
| 003:180 Shakir | : |
And let not those deem, who are niggardly in giving away that which Allah has granted them out of His grace, that it is good for them; nay, it is worse for them; they shall have that whereof they were niggardly made to cleave to their necks on the resurrection day; and Allah's is the heritage of the heavens and the earth; and Allah is aware of what you do. |
| 003:180 Sherali | : |
And let not those who are niggardly in spending what ALLAH has given them of HIS bounty, think that it is good for them; nay, it is bad for them. That with respect to which they were niggardly shall be put as a collar round their necks on the Day of Resurrection. And to ALLAH belongs the heritage of the heavens and the earth, and ALLAH is fully Aware of what you do. |
| 003:180 Yusufali | : |
And let not those who covetously withhold of the gifts which Allah Hath given them of His Grace, think that it is good for them: Nay, it will be the worse for them: soon shall the things which they covetously withheld be tied to their necks Like a twisted collar, on the Day of Judgment. To Allah belongs the heritage of the heavens and the earth; and Allah is well-acquainted with all that ye do. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > غناه وافتقار الناس إليه Pillars of Islam> Islamic> Oneness of Allah> His Self-Sufficience and People's need of Him الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > البخل Man and The Moral Relations>The Dispraised Morals>Stinginess
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


My Sql
Python
Tableau
Machine Learning
Excel
Powerpoint
I was born and raised in Okinawa Japan. It was definitely interesting growing up with hispanic parents, while attending both Japanese and American schools! This amazing little island is where I call home.
I received a B.S. in Environmental Economics because I love modeling, statistics and sustainability!
I learned how to hone in on my business acumen. I also grew to love using SQL to query throgh large data bases to help hospitals regain hundreds of thousands of lost dollars!
I decided to pursue my keen interest in big data! I learned how to better clean, analyze, visualize and present interesting data. I am now looking to further my career and help a company unlock amazing growth opportunities!


Log Out
"To Thy Own Self Be True"
Add a New Chore
Chore:
Dishes
Pay bills
Clean
Take out trash
Laundry
Homework
Wash Car
Change car oil
Walk the Dog
Feed the animal
Deadline:
Family Member:
Zoe
Marco
Bowie
Cy
Submit
Zoe
Marco
Bowie
Cy


Speeches
Talking about stuff and things
Sign In
Sign Out
Cosmo
By Speaker
By Topic
By Date
By Study & By Faith
Blog
Types of Speeches
Most Viewed
Give to Speeches
Give to Speeches


!DOCTYPE html>
Instead of getting huge predictive power, model-based (or component-wise) boosting aggregates statistical models to maintain interpretability. This is done by restricting the used base-learners to be linear in the parameters. This is important in terms of parameter estimation. For instance, having a base-learner \(b_j(x, \theta^{[m]})\) of a feature \(x\) with a corresponding parameter vector \(\theta^{[m]}\) and another base-learner \(b_j\) of the same type but with a different parameter vector \(\theta^{[m^\prime]}\), then it is possible, due to linearity, to combine those two learners to one new one:
\[
b_j(x, \theta^{[m]}) + b_j(x, \theta^{[m^\prime]}) = b_j(x, \theta^{[m]} + \theta^{[m^\prime]})
\]
So, instead of boosting trees like xgboost
, model-based boosting uses a selection of important base-learners, each with estimated parameters.
The ordinary way of finding good base-learners is done by a greedy search. Therefore, in each iteration, all base-learners are fitted to the so-called pseudo residuals in the current iteration that act as a kind of error of the actual model. A new base-learner is then selected by choosing the base-learner with the smallest empirical risk \(\mathcal{R}_\text{emp}\).
The illustration above uses three base-learners \(b_1\), \(b_2\), and \(b_3\). You can think of each base-learner as a wrapper around a feature or category which represents the effect of that feature on the target variable. Therefore, if a base-learner is selected more frequently than another base-learner, it indicates that this base-learner (or feature) is more important. To get a sparser model in terms of selected features there is also a learning rate \(\beta\) to shrink the parameter in each iteration. The learning rate corresponds to the step size used in gradient descent. The three models within each iteration of the illustration are: \[ \begin{align} \text{Iteration 1:} \ &\hat{f}^{[1]}(x) = f_0 + \beta b_3(x_3, \theta^{[1]}) \\ \text{Iteration 2:} \ &\hat{f}^{[2]}(x) = f_0 + \beta b_3(x_3, \theta^{[1]}) + \beta b_3(x_3, \theta^{[2]}) \\ \text{Iteration 3:} \ &\hat{f}^{[3]}(x) = f_0 + \beta b_3(x_3, \theta^{[1]}) + \beta b_3(x_3, \theta^{[2]}) + \beta b_1(x_1, \theta^{[3]}) \end{align} \] Using the linearity of the base-learners it is possible to aggregate the \(b_3\) base-learners: \[ \hat{f}^{[3]}(x) = f_0 + \beta \left( b_3(x_3, \theta^{[1]} + \theta^{[2]}) + b_1(x_1, \theta^{[3]}) \right) \]
This is a very simple example but it displays the main strength of model-based boosting such as an inherent variable selection very well. Since the fitting is done iteratively on the single base-learners, model-based boosting is also a very efficient approach for data situations where \(p \gg n\), which is learning in high-dimensional feature spaces. For instance, genomic data where the number of features $p$ could be several thousand but the number of observations are not more than a few hundred.
First of all, the compboost
R
API is written as R6 class. Hence, defining base-learners works a bit different than using the common formula interface.
The easiest way of training a component-wise boosting model is to use boostLinear()
or boostSplines()
. Those two functions take each feature and wrap them into a linear or a spline base-learner. The parameters are then used for each base-learner. For instance, wrapping each feature by a spline base-learner we can easily use:
library(compboost)
cboost = boostSplines(data = iris, target = "Petal.Length", loss = LossQuadratic$new())
cboost
## Component-Wise Gradient Boosting
##
## Trained on data with target Petal.Length
## Number of base-learners: 6
## Learning rate: 0.05
## Iterations: 100
## Offset: 3.758
##
## LossQuadratic Loss:
##
## Loss function: L(y,x) = 0.5 * (y - f(x))^2
##
##
If we adjust parameters like the number of knots (n.knots
) or the penalty term (penalty
), then they are applied on each base-learner:
cboost = boostSplines(data = iris, target = "Petal.Length", loss = LossQuadratic$new(),
n.knots = 4, penalty = 4)
The object returned by boostLinear()
and boostSplines()
is an R6 Compboost
object. For details on how to use those objects see the section on how to access elements of a fitted model.
The idea is to explicitely define which learner you want to use on which feature. But first of all we need to define a Compboost
object (for convenience we are using the iris
dataset):
library(compboost)
cboost = Compboost$new(data = iris, target = "Petal.Length", loss = LossQuadratic$new())
cboost
##
## Componentwise Gradient Boosting
##
## Trained on iris with target Petal.Length
## Number of base-learners: 1
## Learning rate: 0.05
## Iterations: 0
##
## LossQuadratic Loss:
##
## Loss function: L(y,x) = (y - f(x))^2
##
Note that the loss
is given as instantiated object. This object is an instantiated S4
class since the objects are exposed by the Rcpp modules. This also gives the possibility to define a loss with a custom offset. Therefore just call, for instance, LossQuadratic$new(offset = 10)
.
Now we can add base-learner for the training. The base-learner are added by calling the addBaselearner()
member function. This function gets an uninstantiated base-learner object (such as BaselearnerPSpline
or BaselearnerCustomCpp
). Note that each base-learner needs an identifier which must be given by the user. This makes the selected learner unique and yields an intuitive naming:
cboost$addBaselearner(feature = "Petal.Width", id = "spline", bl.factory = BaselearnerPSpline, degree = 3,
knots = 10, penalty = 2, differences = 2)
cboost$addBaselearner(feature = c("Sepal.Length", "Sepal.Width"), id = "2dim_linear",
bl.factory = BaselearnerPolynomial, degree = 1, intercept = TRUE)
cboost$getBaselearnerNames()
## [1] "Petal.Width_spline"
## [2] "Sepal.Length_Sepal.Width_2dim_linear"
Adding a categorical feature always registers each single group as feature for the base-learner using dummy encoding:
cboost$addBaselearner(feature = "Species", id = "categorical", bl.factory = BaselearnerPolynomial,
degree = 1, intercept = FALSE)
cboost$getBaselearnerNames()
## [1] "Petal.Width_spline"
## [2] "Sepal.Length_Sepal.Width_2dim_linear"
## [3] "Species_setosa_categorical"
## [4] "Species_versicolor_categorical"
## [5] "Species_virginica_categorical"
After defining the base-learners we can start the training by calling the train()
member function. If train is set, then every, in this case, 200th iteration of the trace is printed:
cboost$train(1000, trace = 200)
## 1/1000: risk = 1.4
## 200/1000: risk = 0.032
## 400/1000: risk = 0.03
## 600/1000: risk = 0.03
## 800/1000: risk = 0.029
## 1000/1000: risk = 0.029
##
##
## Train 1000 iterations in 0 Seconds.
## Final risk based on the train set: 0.029
##
##
To get a vector of selected feature call getSelectedBaselearner()
:
cboost$getSelectedBaselearner()[1:10]
## [1] "Petal.Width_spline" "Petal.Width_spline" "Petal.Width_spline"
## [4] "Petal.Width_spline" "Petal.Width_spline" "Petal.Width_spline"
## [7] "Petal.Width_spline" "Petal.Width_spline" "Petal.Width_spline"
## [10] "Petal.Width_spline"
table(cboost$getSelectedBaselearner())
##
## Petal.Width_spline Sepal.Length_Sepal.Width_2dim_linear
## 485 96
## Species_versicolor_categorical Species_virginica_categorical
## 196 223
To continue training or set the algorithm to another iteration one can again call train()
with a new number of iterations. This automatically updates the estimated parameter:
cboost$train(1500)
##
## You have already trained 1000 iterations.
## Train 500 additional iterations.
##
After the training it is also possible to visualize the contribution of a single base-learner to the response. Note that at the moment just univariate plotting is supported. It is also important to call exactly the same name as given in getBaselearnerNames()
. Otherwise compboost
can't match the learner:
cboost$plot("Petal.Width_spline")
Since
plot()
always returns a ggplot
we can also customize the graphic:
library(ggplot2)
library(ggthemes)
cboost$plot("Petal.Width_spline", iters = c(5, 100, 500, 1000, 1500)) +
labs(title = "Effect of Petal Width", subtitle = "Additive contribution to linear predictor") +
theme_tufte() +
scale_color_brewer(palette = "Spectral")
To make prediction using a new dataset we can call the predict()
member function:
all.equal(cboost$predict(), cboost$predict(iris))
## TRUE
Additional useful member functions are getInbagRisk()
or coef()
to get the inbag risk and the estimated parameter:
str(cboost$getEstimatedCoef())
## List of 5
## $ Petal.Width_spline : num [1:24, 1] -1.7 -1.68 -1.71 -1.77 -1.61 ...
## $ Sepal.Length_Sepal.Width_2dim_linear: num [1:3, 1] -2.714 0.595 -0.251
## $ Species_versicolor_categorical : num [1, 1] -0.19
## $ Species_virginica_categorical : num [1, 1] 0.247
## $ offset : num 3.76
More advanced possibilities are:
R
or C++
losses (see getCustomCppExample(example = "loss")
) that can also be used to track performance measures inbag or out of bag.
R
or C++
functions to train custom base-learner (see getCustomCppExample()
).


Foreword
I remember clearly the first time I didn't buy a book by Chris Date. That's right, I said "didn't buy." It was late 1991 or early 1992. I was in a small bookstore in the Saginaw, Michigan mall, looking for a book on SQL. I found one, too, by some guy named C. J. Date, whom I'd never heard of. The book looked good, the writing was clear, half of me wanted to buy it, but . . . oh, the price! I stood there holding a book in my hands that was about 1/4-inch thick, had less than 200 pages, yet it cost $30--a lot for me back in those days. I struggled with myself for a bit, then, reluctantly, I put the book back on the shelf and walked away.
What a mistake! A career was in the balance—I just didn't know it at the time.
I redeemed myself, though, by convincing my boss that the company should buy the book for me. It took them a month to get around to ordering the book, but it finally arrived, and I read it, not once, but several times. One of the best and most educational parts of the book (for me) was an appendix with Chris's critique of the then-current SQL language.
I learned a lot from Chris, from that book. I became enamored of working with databases, and fascinated by the idea of a declarative language like SQL: I could just describe the results I was after, and the database engine would do the work of deriving those results for me. I also learned more about Chris, and about his role working with Codd from almost the very beginning of the relational era. For several years I subscribed to a magazine called Database Programming and Design for the sole reason that Chris wrote a column in it.
The knowledge I gained about SQL from Chris—beginning with that one thin, expensive little book that I was so reluctant to buy—has had a ripple effect down through the years until today. My introduction to databases at that time was a major turning point in my career, and Chris's clarity and rigor had a profound effect on the way in which I viewed SQL and database technology in general. Ever since, SQL has been one of my favorite things to write, to learn about, and, more recently, to write about.
I shudder to think of what my career might be today had I not gotten my hands on Chris's book. Don't make the same mistake I almost made. Don't put this book back on the shelf. Read it! Learn from someone who helped to invent and refine the relational model on which your career depends. You may not agree with everything Chris has to say, and you don't need to, but do understand what he says. Take the time to understand his vision of the relational model today. Take the time to understand the issues he raises with respect to how vendors (sometimes wrongly) implement that model in their products. Do these things, and you'll find yourself standing head-and-shoulders above your peers who haven't taken the time to ground themselves in the fundamentals.
If I can leave you with one thought, it's on the importance of enthusiasm for learning. It's been a great honor for me to edit this book by Chris Date, and an honor I never even remotely expected to have. I learned a lot from talking with Chris and reading his drafts. How did my work on this book come about? It was the indirect result of intense discussion of subquery optimization in SQL with several very smart people on the Oracle-L list whom I'm humbled to call colleagues. Even more indirectly, I suppose, my work on this book is a result of my reading Chris's writings for the first time, so very many years ago. Curiosity and a love for learning have taken me a lot further in my career than I ever used to dream of going, and they can do the same for you.
Jonathan Gennick
Munising, Michigan
March 2005
|


Jonathan is a role model for all dads around the world for a reason. He keeps the right things close to heart! While he may not be the most social person you'll meet, when you get to know him, there are a multitude of traits which make him #1.
Jonathan goes through life with the philisophy that family is God. He believes that when you marry and have kids, it is a committment which cannot be broken! Having been married faithfully for 25 years he has shown time and time again that he can and will fight for the family and for what's right!
Jonathan also strongly believes in having a sound and efficient work ethic. Never leaving work undone, Jonathan has a work ethic which is rare to find in the world. His work ethic along with his intelligence has allowed him to consistently rise up in the corporate and personal world. Swiftly, Jonathan rose the ranks in the corporate office while still maintaining a sense of entrepenurship driving him to open Eye Level.
There is no better person than Jonathan to look to the future. Constatly making sure that the family will survive and thrive in the future and beyond, he is almost always looking for new opportunities albeit sometimes too much.
All these traits and more just make up a fraction of what makes Jonathan a dad which everyone looks up to and aspires to be.


1 - Second Order Differential Equation Constants of Integration (two variables, two equations):
Having a second order differential equation, you have to find the constants of integration through boundary conditions. As you know, a n-order differential equation needs n boundary conditions so we can find the constants through solving n variables, n equations.
In this program we want to solve a two variable two equations to find the constants of integration of a second order differential equation. Setting the boundary conditions to be: ti1 = 0.0s and xi1 = 10.0m, ti2 = 1.0s and xi2 = 8.0m and constants: k = 20 and m = 2kg, we will get:
OUTPUTs :
[ 0.3048407017491] [-16.0742579474315]
Point: If you needed to solve n variables, n equations, you just have to add more boundary conditions (n total) and use them to make more equations (n total) and assign your own main equation to equation variable.
2 - Using Central and Forward Difference Approximation to Find Velocity Values:
What would you do if you had a list of positions and time and wanted to find a list of velocities? or maybe you want to know V(t) in a certain t having a list of positions and time . .
In this program we want to implement two methods to find velocity given a csv file containing a list of positions and time. We want our program to read this file using pandas package, then find velocities using central and forward difference approximation.
3 - Solving for a Variable using SymPy:
Ever wnated to solve an equation for a variable in the easiest way possible?
In this program we want to use sympy.solve to solve for a variable . . you just have to standardize your equation and then give your equation and the variable as arguments to it and you get a list of solutions in return.
OUTPUTs :
[0.473698473612106sqrt(x(-log(x) + 1.0)), -0.473698473612106sqrt(-x(log(x) - 1.0))]
4 - Solving a Second Order Diff. Eq. Using SymPy:
Solving different equations of motion you have a sense that when it comes to motion and acceleration you have to have some skills up you sleeve to solve second order equations. Sure it is not the only area you will have to solve a second order equation, but it is one of the most informative ones.
In this program we want to solve the second order equation for a simple harmonic oscilator. Sympy gives you the opportunity to have the results fast and easily. Remember what we had to go through to solve a 2 variable 2 eqs in the last post? with SymPy you can make several equations using a list of sympy.eq and then using sympy.solve to solve them!
5 - Plotting a Simple Polynomial:
You might think of a couple of ways to do this using python. But, what is the easiest one?
In this program we want to plot a polynomial using range for sampling points. It is the easiest way you can plot a polynomial. Why is it only suitable for polynomials? For range considers a small group of x values (e.g. range(0,2)=[0,1]) to make the plot, while you can add as many points as you want using Numpy’s linspace function.
Here we have given the defined graph function two arguments: a function "x*3+2x-4" and a range range(-10, 11).


Subscribe, gift subs, or donate bits!
A direct donation of any amount!
Tiers are the same as Subscribe Star
Tiers are the same as Patreon


Choose (you may upload file) font, select font size and color. Then download image (.png), map (.xml) and you're breathtaking!
Privacy notice: data won't be transferred to servers.


Lorem ipsum dolor ingroe remove it later
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Lorem ipsum dolor ingroe remove it later
Lorem ipsum dolor ingroe remove it later
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
Print this page to PDF for the complete set of vectors. Or to use on the desktop.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
 Replied joy age visitor nothing cottage. Mrs door paid led.
Lorem ipsum dolor ingroe remove it later
Flat # 5B, House # 34, Road # 01
Uttora, Dhaka - 1230
Bangladesh
Cell - +880 170127548
Landline - +22 5842
Personal - +880<PHONE_NUMBER>
Sale -<EMAIL_ADDRESS>Support -<EMAIL_ADDRESS>Web - www.themewar.com


For more information please check out the release tag !!!
Previous releases:
v1 (30 July 2017)
v2 (8 August 2017)
v3 (23 December 2017)
v4 (8 August 2018)
v5 (27 December 2019)
If you would like to contribute to the ZppixBot wiki, you must request an account, to request an account please PM one of the bot operators.


| Cockpit Guide |
|---|
Cockpit's cockpit-ws
component is what the browser connects to
and it typically starts on demand via
systemd
socket activation.
The actual cockpit.service
and cockpit-ws
process will start on
demand when a browser accesses the cockpit.socket
,
usually on port 9090. Once a user logs in then
a cockpit-bridge
process will be started in a Linux user login session.
Only systems that you connect to with your browser need to have the cockpit.socket
enabled. For systems that you add to the dashboard of another Cockpit instance, the bridge is started
via SSH on demand.
The cockpit-bridge
process will exit when the user logs out. In addition,
after 10 minutes of inactivity, the cockpit-ws
process will exit on its own.
The browser will automatically disconnect if it fails to hear from the
cockpit-ws
process for 30 seconds.


c:\inetpub\wwwroot\index.asp - And other common variations, also check for any other files you can browse to
c:\windows\system32\logfiles\httperr\httperr1.log
c:\system32\inetsrv\Metabase.xml
web.config in every directory you are traversing through


Sauces!
Home
Create Sauce
Load Sauce
Your Sauces:
Description
Ingredients
Directions
Sauce:
Ingredients:
Directions:
Step 1:
Description:
Uses:
Spicyness:
Type:
Prep Time:
Submit Sauce


Andre Weiner
TU Braunschweig, ISM, Flow Modeling and Control Group
These slides and most of the linked resources are licensed under a
Creative Commons Attribution 4.0 International License.
$\rightarrow$ only sensible if used consistently
Github/Bitbucket/Gitlab for collaboration
$\rightarrow$ greatly beneficial for collaboration
hard disk(s)$\ge$ blob storage $\ge$ long-term storage
Overleaf = Git+Docker+online storage for collaborative writing of Latex documents


Colors
Establish consistent and unified color usage throughout the UI and include standard corporate colors from the Micro Focus branding guidelines.
Micro Focus Primary Color Palette
This is the Micro Focus primary color palette. The Identity and Access product group will use the highlighted two colors as our primary product colors. The decision to use these colors from the Primary color palette, rather than the MF Primary blue, are as follows:
- These colors are close to the pre-MF Identity and Access branding colors.
- These colors are harmonious when used within UI elements.
- Feedback from developers and customers that the MF primary blue is too bright.
Primary Blue Colors
#007cd0
Primary Blue ($color-primary-2)
- Default masthead background blend (right color)
- Button hover text color
- Button hover border
#01a9e7
Secondary Blue ($color-primary-4)
- Default masthead background blend (left color)
- Nav bar selected underline
- Tile hover border
Primary Gray Colors
#eef2f2
Tile Gray ($color-gray-6)
- Tile background
- Panel background
- Nav bar background
#dae1e1
Line Gray ($color-gray-5)
- Nav bar hover
- Button border
- Separator line
#808080
Label Gray ($color-gray-4)
- Label
- Action icon
- Dialog title
#434c50
Text Gray ($color-gray-1)
- Text and Title
- Nav bar text
- Menu background
Blue Colors
#0067ad
Dark Blue ($color-primary-1)
#007cd0
Primary Blue ($color-primary-2)
#0090da
Medium Blue ($color-primary-3)
#01a9e7
Secondary Blue ($color-primary-4)
#29ceff
Light Blue ($color-primary-5)
Gray Colors
Highlight and Accent Colors
#e4f9ff
Selected Blue ($color-accent-6)
- Selected tile or table cell background
#fff6ce
Selected Yellow ($color-accent-2)
#ffd92d
Accent Yellow ($color-accent-1)
#f17e12
Accent Orange ($color-accent-3)
#e50000
Error Red ($color-accent-4)
- Error text
- Error icon background
#37c26a
Success Green ($color-accent-5)
- Success text
- OK icon color


Package ibis.cashmere.constellation
Cashmere is a library on top of Constellation that schedules
Many-Core Levels (MCL) kernels efficiently.
While Constellation is responsible for scheduling
Activities
onto nodes in the cluster,
Cashmere operates on the level of one node. It is responsible for scheduling many-core kernels efficiently to many-core devices
in the node, such as GPUs. The main class for a Cashmere program is Cashmere
that only has
static methods. For a typical setup of Cashmere we refer to the Cashmere
class.- See Also:
Cashmere
, Constellation, Many-Core Levels (MCL)
-
Interface Summary Interface Description CommandStream Abstraction for, i.e., a cl_command_queue in OpenCL, or a stream in Cuda.DeInitLibraryFunction Represents a method to deinitialize a library.DeviceEvent InitLibraryFunction Represents a method to initialize a library.LaunchFunction Represents a method to launch a library functionLibFunc
.Platform Pointer Abstraction for a device or host pointer. -
Class Summary Class Description Argument A class used for indicating directions of arguments to kernels.ArrayArgument Buffer A wrapper of aByteBuffer
.BufferArgument BufferCache A wrapper forByteBufferCache
.ByteArrayArgument Cashmere The entry point to the Cashmere library.Device Class that represents a many-coreDevice
.DeviceInfo DoubleArgument DoubleArrayArgument FloatArgument FloatArray2DArgument FloatArrayArgument IntArgument IntArrayArgument Kernel AKernel
represents an MCL kernel.KernelLaunch Represents one specific launch of aKernel
.Launch The abstract base class forKernelLaunch
andLibFuncLaunch
that contains shared code.LibFunc ALibFunc
represents an entry point to a library.LibFuncLaunch Represents one specific launch of aLibFunc
.PointerArgument -
Enum Summary Enum Description Argument.Direction TheDirection
enumeration contains constants for arguments.DeviceEvent.TimeType -
Exception Summary Exception Description CashmereException A general Cashmere exception.CashmereNotAvailable An exception that indicates that Cashmere is not available.LibFuncNotAvailable An exception that indicates that the library is not available.


Your mighty long link has been shortened to a teeny tiny URL:
{{shortened_url}}
Enjoy it. With great power comes great responsibility.


1 write to SecurityServicesConfigured
Microsoft.PowerShell.Commands.Management (1)
commands\management\GetComputerInfoCommand.cs (1)
1542
guard.
SecurityServicesConfigured
= listSoftware.ToArray();
1 reference to SecurityServicesConfigured
Microsoft.PowerShell.Commands.Management (1)
commands\management\GetComputerInfoCommand.cs (1)
916
output.DeviceGuardSecurityServicesConfigured = deviceGuard.
SecurityServicesConfigured
;


The momentum which started with social media documentation of the ethnic cleansing of Palestinians in East Jerusalem (Sheik Jarrah) has catalyzed a historical moment which is ripe for transformation
For the first time in 73 years of occupation the world is uniting to call Israelis apartheid, settler colonialism, and ethnic cleansing of the Palestinians people for what it is.
It is simple, staying neutral in situations of oppression puts you on the side of oppressor. It is the responsibility of every individual who is alive to witness this injustice to speak out in the noble plight of liberating the Palestinian people. As individuals we must pressure and hold institutions accountable to explicitly speak out against the Israeli apartheid and take a hard stance against any individual or company who is in any way invested in the apartheid.
Need I remind you it was the peaceful BDS (Boy Cot Divestment and sanctions movement) which succeeded in liberating South Africa from the British apartheid in 1961. And effective method which is now being criminalized by places such as Germany and the US.
The most powerful countries and companies in the world work relentlessly to sheild Israel from all consequences while financial supporting its war crimes.
To the Sandberg Instituut and every other so called Liberal institution You cannot pontificate about de-colonial theory while ignoring the largest contemporary example of colonialization. We will not stand by and watch “decolonization” be reduced to a trend by educational elitism. We are asking you NOW to sit amongst yourselves and release a statement standing against Israelis apartheid, settler colonialism, and ethnic cleansing of Palestine.
Not just reposting infographics on Instagram story or cute graphic artworks. MAKE A public commitment against the occupation and post it on social media, share it via email, and actualize anti colonial practices in a tangible way.
Palestine will be free and now is the moment for you to decide which side of history you will be on.


Male
Female
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Jan
Feb
March
April
May
June
July
August
September
October
November
December
Enter the Year you were born


Hardy Russians take the plunge in icy Lake Baikal
by Christophe PitiotRussian winter swimmers, also known as "walruses", took to the freezing waters of Lake Baikal to mark national Walrus Day.
The athletes plunged into the 4-Celsius-degree (39 Fahrenheit) water of the lake, which rarely reaches more than 10 Celsius degrees (50 Fahrenheit), even in summer.
Sergey Kushnaryov, a winter swimmer, said that it is "better to swim all year round" rather than to wait for the warmer season.
Many "walruses" believe that winter swimming helps them to resist colds and improves their overall health.
Ice water swimming, or "walrusing", is a common activity in colder countries, including Russia.


Faculty API Client
Add New Record
Add Faculty Member
×
Name
Enter Name
E-Mail
Enter E-mail Address
ID
Enter ID
Gender
Enter Gender
Course Code
Enter Course Code
Phone#
Enter Phone #
Loading ...
Update Record
×
Name
Enter Name to Update
E-Mail
Enter E-Mail to Update
ID
Enter ID to Update
Gender
Enter Gender to Update
Course Code
Enter Course Code to Update
Phone#
Enter Phone# to Update


{% include 'navigationBar.html' %} {% include 'check_user.html' %}
Here is a an overview of registered receipts


public class FabOption
The design and behavior of a single option within an class ExpandableFab
.
Developer Notes:
Layout_width and layout_height should be set to wrap_content, unless you're setting custom dimensions.
FabOptions must be defined within an class ExpandableFabLayout
to function properly.
label.labelText must be non-null for the optional label to show and other label properties to take effect.
Implementation Notes:
Since the Kotlin 'internal' modifier translates to 'public' in Java, the JvmSynthetic annotation is used on those functions and properties to hide them from the published API for Java clients. A proper solution to this issue would be a package-private visibility modifier, but Kotlin has yet to implement it (https://youtrack.jetbrains.com/issue/KT-29227). Until then, the JvmSynthetic annotations should remain in order to present the proper published API to both Java & Kotlin clients.
public FabOption(@NotNull android.content.Context context, @Nullable Orientation orientation)
Used to create a FabOption programmatically (do not use the other constructor FabOption(context, attributeSet) - it is for use by the Android framework when inflating a FabOption via XML). This constructor keeps all optional properties of a FabOption at their default values, though you can always change these values after instantiation by using the appropriate setter methods (with the exception of orientation, which cannot be changed after instantiation).
See documentation for an exhaustive list of all optional properties and their default values.
Please review the Notes documented at the top of the class for guidelines and limitations when using FabOption.
public FabOption(@NotNull android.content.Context context, @NotNull android.util.AttributeSet attributeSet)
Called by the system when creating a FabOption via XML (don't call this directly). To create a FabOption programmatically, use the FabOption(context, orientation) constructor.
@NotNull public Orientation getOrientation()
The enum Orientation
this FabOption is viewable in. Default value is Orientation.PORTRAIT.
enum Orientation
public int getFabOptionColor()
The color of the FabOption. Default value is your app's colorAccent.
Usage of this property is preferred over the inherited setBackgroundColor and backgroundTintList methods.
public void setFabOptionColor(int value)
The color of the FabOption. Default value is your app's colorAccent.
Usage of this property is preferred over the inherited setBackgroundColor and backgroundTintList methods.
@Nullable public android.graphics.drawable.Drawable getFabOptionIcon()
The drawable to show as the FabOption's icon. Default value is null (no icon shown).
Usage of this property is preferred over the inherited set/getImageXXX methods.
public void setFabOptionIcon(@Nullable android.graphics.drawable.Drawable value)
The drawable to show as the FabOption's icon. Default value is null (no icon shown).
Usage of this property is preferred over the inherited set/getImageXXX methods.
public boolean getFabOptionEnabled()
The enabled state of this FabOption and its label. Disabled FabOptions and labels will be visually distinct and unclickable. Default value is true (enabled).
Usage of this property is preferred over the inherited is/setEnabled methods.
NOTE: If you disable a FabOption and its label, remember to re-enable it before trying to update one of its properties. For example, disabling a FabOption then manually changing its background color will not automatically re-enable the FabOption. It, and its label, will remain disabled.
public void setFabOptionEnabled(boolean value)
The enabled state of this FabOption and its label. Disabled FabOptions and labels will be visually distinct and unclickable. Default value is true (enabled).
Usage of this property is preferred over the inherited is/setEnabled methods.
NOTE: If you disable a FabOption and its label, remember to re-enable it before trying to update one of its properties. For example, disabling a FabOption then manually changing its background color will not automatically re-enable the FabOption. It, and its label, will remain disabled.
public long getOpeningAnimationDurationMs()
The duration (in milliseconds as a positive long) of the animations that will be played when this FabOption is being shown from a hidden state (when the ExpandableFab is opening). Default value is 125L.
public void setOpeningAnimationDurationMs(long value)
The duration (in milliseconds as a positive long) of the animations that will be played when this FabOption is being shown from a hidden state (when the ExpandableFab is opening). Default value is 125L.
public long getClosingAnimationDurationMs()
The duration (in milliseconds as a positive long) of the animations that will be played when this FabOption is being hidden from a visible state (when the ExpandableFab is closing). Default value is 75L.
public void setClosingAnimationDurationMs(long value)
The duration (in milliseconds as a positive long) of the animations that will be played when this FabOption is being hidden from a visible state (when the ExpandableFab is closing). Default value is 75L.
public float getOpeningOvershootTension()
The tension (as a positive float) in an OvershootInterpolator applied on the FabOption when it's playing its animations for being shown from a hidden state (when the ExpandableFab is opening). The OvershootInterpolator allows us to have an animation where the FabOption will grow past its regular size when initially appearing, before smoothly shrinking down to regular size. Larger values will exaggerate the effort more. Default value is 3.5f.
public void setOpeningOvershootTension(float value)
The tension (as a positive float) in an OvershootInterpolator applied on the FabOption when it's playing its animations for being shown from a hidden state (when the ExpandableFab is opening). The OvershootInterpolator allows us to have an animation where the FabOption will grow past its regular size when initially appearing, before smoothly shrinking down to regular size. Larger values will exaggerate the effort more. Default value is 3.5f.
@NotNull public Label getLabel()
The optional label attached to this FabOption. The label will only be shown when its labelText is not null. Default values for the label are as follows:
labelText = null labelTextColor = white labelTextSize = 14sp labelBackgroundColor = gray (#333333) labelElevation = 6dp position = LabelPosition.LEFT marginPx = 50f translationPx = 100f visibleToHiddenAnimationDurationMs = 75L hiddenToVisibleAnimationDurationMs = 250L overshootTension = 3.5f
public void setOnClickListener(@Nullable android.view.View.OnClickListener onClickListener)
Registers a callback to be invoked when this FabOption or its label is clicked. The default behavior the FabOption will be executed before this custom callback.
Note: Only one FabOption can be clicked per ExpandableFab opening or closing animation. For example, if you set long durations on the opening animations of the ExpandableFab, then the first clicked FabOption will fire its onClickListener, and all subsequent clicks to this or other FabOptions will be ignored until the ExpandableFab has completely finished its animation (this is to prevent a user from spam clicking multiple FabOptions during long animations).
public void setSize(int size)
Sets the size of the FabOption. Overridden to ensure we never set the size to be FabSize.CUSTOM.
Clients should never need to call this directly. Instead, set ExpandableFab.fabOptionSize
.
ExpandableFab.fabOptionSize


amazon-chime-sdk / com.amazonaws.services.chime.sdk.meetings.audiovideo.metric / ObservableMetric / contentShareVideoSendPacketLossPercent
contentShareVideoSendPacketLossPercent
contentShareVideoSendPacketLossPercent
Percentage of video packets lost from client to server across all send streams


Kamala Harris Accidentally Highlights Failures in Campaign Hype Video
Sen. Kamala Harris (D-CA) accidentally highlighted some of her greatest failures as part of a campaign hype video posted on the three-year anniversary of the 2016 election.
by Hannah BleauNovember 8, 2019, marked three years from President Trump’s upset victory over failed Democrat nominee Hillary Clinton. Harris, one of the many Democrat candidates who hopes to challenge Trump in 2020, released a “hype” video, touting her accomplishments without realizing that it accidentally highlighted some of her greatest failures.
“It’s been three years to the day since our national nightmare was elected president,” Harris wrote.
“Since then, I’ve taken on Jeff Sessions, Bill Barr, Brett Kavanaugh, and more in the Senate. And I’m ready to defeat Trump in 2020,” she continued, failing to realize that those three battles — with former Attorney General Jeff Sessions, Attorney General William Barr, and Supreme Court Justice Brett Kavanaugh — are three she lost handily, as all were ultimately confirmed:
Twitter users were quick to question her for touting those failed fights as some of her greatest accomplishments.
“And they’re all doing just fine. So, not sure that’s a list of accomplishments,” one user wrote.
“Yeah, you were SO effective. That’s why they ALL got confirmed,” another remarked. “I guess we’re just redefining the terms of success now.  You couldn’t beat an egg,” another added.
More:
Harris is currently in fifth place with 4.5 percent in the polls, the latest RealClearPolitics average shows.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Cauchy.20product.20theorem.html ---
doesn't seem to be in Lean
What is the statement, and should this be in #maths ?
(My topic on the five lemma should have been in #maths...)
If sum a_n is absolutely convergent to a, and sum b_n absolutely convergent to b, then sum sum (a_j b_{n-j}) is absolutely convergent to ab
I proved it, but haven't PRed yet.
what happened to your other PR's?
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


JavaScript is a programming language for the World Wide Web. JavaScript programs are downloaded along with Web pages and run on your computer. Web programmers can include JavaScript programs to make using their Web pages easier. JavaScript can enable links, edit data, help you fill in forms, and do many other useful things. Most complex sites, like Internet e-commerce and banking sites, use JavaScript.
JavaScript is fundamentally safe. The programmers who designed JavaScript deliberately omitted the ability to write to your disk or do other things that could damage your computer. JavaScript has been abused to open unwanted windows or change the page you're viewing in unwanted ways. These things are annoying, but not truly damaging. Modern browsers intercept and prevent the worst of the annoyances.
However, in Microsoft Internet Explorer only, enabling JavaScript also enables VB Script, Microsoft's proprietary Web scripting language. VB Script does not have the inherent safety features of JavaScript. For that reason, if you use Internet Explorer,you may want to leave VB Script (and JavaScript) turned off unless you need it. Only Internet Explorer can run VB Script programs within the browser. If you use any browser other than Internet Explorer, you do not need to worry about this.
The first thing you must do is determine the browser and version you are using to surf the Web. In the command bar at the extreme top of the browser window, click "Help" and select "About." The "About" panel will tell you the name and version of your browser.
Windows: Mozilla Firefox 1.0 and above
Windows: Microsoft Internet Explorer 5.x and above
Windows: Netscape 4.7 and above
The first thing you must do is determine the browser version you are using to surf the Web. In the command bar at the extreme top of the browser window, click program name at the left (e.g. Safari) and select "About." The "About" panel will tell you the version of your browser.
Macintosh OS X: Internet Explorer
Macintosh OS X: Netscape 7.1
Macintosh OS 9 and below: Internet Explorer 5 and above
These were tested under SuSE Linux, but should work the same way under other distributions.
Linux: Mozilla 5.0 Firefox <IP_ADDRESS>
Linux: Konqueror 3.5.1
Linux: Mozilla 5.0 SeaMonkey 1.0.2
Linux Epiphany 1.8.5
This page last updated: 2006-07-30 23:48
Printed on 2018-May-27 16:41 from http://www.bluelinkwebs.com/devnotes/cloak_email/javascript_howto.html
The instructions presented on this page are dedicated to the public domain by Blue Link Webs under the Creative Commons Public Domain Dedication. The contents of this page may be freely reproduced, distributed, transmitted, used, modified, built upon, or otherwise exploited by anyone for any purpose, commercial or non-commercial, and in any way, including by methods that have not yet been invented or conceived.